Groups
There are no groups associated with this dataset
There are no groups associated with this dataset
Installation paths relative to:
/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages
| Package | Version | Installed Path |
|---|---|---|
| affine | 2.4.0 | |
| alembic | 1.6.5 | |
| anyio | 3.7.1 | |
| attrs | 25.1.0 | |
| autocommand | 2.2.2 | setuptools/_vendor |
| Babel | 2.7.0 | |
| backcall | 0.2.0 | |
| backports.tarfile | 1.2.0 | setuptools/_vendor |
| beaker | 1.11.0 | |
| beautifulsoup4 | 4.13.3 | |
| bleach | 3.1.4 | |
| blinker | 1.8.2 | |
| branca | 0.8.1 | |
| cachetools | 5.5.1 | |
| certifi | 2025.1.31 | |
| cffi | 1.17.1 | |
| cftime | 1.6.4.post1 | |
| charset-normalizer | 2.0.12 | |
| ckan | 2.9.11 | |
| ckanapi | 4.8 | |
| ckanext-geoview | 0.0.18 | |
| ckanext-harvest | 1.4.0 | |
| ckanext-pages | 0.3.7 | |
| ckanext-saeoss | 0.1.0 | |
| ckanext-scheming | 3.0.0 | |
| ckanext-spatial | 2.0.0 | |
| ckantoolkit | 0.0.7 | |
| click | 8.0.1 | |
| click-plugins | 1.1.1 | |
| cligj | 0.7.2 | |
| cloudpickle | 3.1.1 | |
| contourpy | 1.1.1 | |
| coverage | 7.6.1 | |
| cryptography | 39.0.0 | |
| cycler | 0.12.1 | |
| dask | 1.2.2 | |
| dask-image | 2022.9.0 | |
| datacube | 1.8.9 | |
| decorator | 5.1.1 | |
| distributed | 1.28.1 | |
| docopt | 0.6.2 | |
| dominate | 2.6.0 | |
| exceptiongroup | 1.2.2 | |
| factory-boy | 3.3.3 | |
| Faker | 35.2.2 | |
| fanstatic | 1.1 | |
| feedgen | 0.9.0 | |
| fiona | 1.10.1 | |
| Flask | 2.0.1 | |
| Flask-Babel | 1.0.0 | |
| Flask-DebugToolbar | 0.11.0 | |
| Flask-Login | 0.6.3 | |
| flask-multistatic | 1.0 | |
| flask-wtf | 1.2.1 | |
| folium | 0.14.0 | |
| fonttools | 4.56.0 | |
| FormEncode | 2.1.1 | |
| funcsigs | 1.0.2 | |
| GeoAlchemy2 | 0.5.0 | |
| geojson | 3.2.0 | |
| geopandas | 0.13.2 | |
| gevent | 24.2.1 | |
| greenlet | 3.2.3 | |
| gunicorn | 20.1.0 | |
| h11 | 0.12.0 | |
| httpcore | 0.14.7 | |
| httpx | 0.22.0 | |
| idna | 3.10 | |
| imageio | 2.35.1 | |
| importlib-metadata | 8.5.0 | |
| importlib-resources | 6.4.5 | |
| inflect | 7.3.1 | setuptools/_vendor |
| iniconfig | 2.0.0 | |
| ipython | 7.34.0 | |
| itsdangerous | 2.2.0 | |
| jaraco.collections | 5.1.0 | setuptools/_vendor |
| jaraco.context | 5.3.0 | setuptools/_vendor |
| jaraco.functools | 4.0.1 | setuptools/_vendor |
| jaraco.text | 3.12.1 | setuptools/_vendor |
| jedi | 0.19.2 | |
| Jinja2 | 3.0.1 | |
| joblib | 1.4.2 | |
| jsonschema | 4.17.3 | |
| kiwisolver | 1.4.7 | |
| langcodes | 3.2.1 | |
| lark | 1.2.2 | |
| lazy-loader | 0.4 | |
| lxml | 4.6.3 | |
| Mako | 1.3.9 | |
| mapclassify | 2.6.0 | |
| Markdown | 3.3.4 | |
| MarkupSafe | 2.1.5 | |
| matplotlib | 3.7.5 | |
| matplotlib-inline | 0.1.7 | |
| mock | 4.0.3 | |
| more-itertools | 10.3.0 | setuptools/_vendor |
| msgpack | 1.1.0 | |
| mypy | 0.931 | |
| mypy-extensions | 1.0.0 | |
| netCDF4 | 1.7.2 | |
| networkx | 3.1 | |
| nose | 1.3.7 | |
| numexpr | 2.8.6 | |
| numpy | 1.22.1 | |
| odc-algo | 0.2.3 | |
| odc-geo | 0.4.9 | |
| odc-stac | 0.3.11 | |
| owslib | 0.18.0 | |
| packaging | 24.2 | |
| pandas | 1.5.3 | |
| parso | 0.8.4 | |
| passlib | 1.7.4 | |
| Paste | 3.10.1 | |
| PasteDeploy | 3.1.0 | |
| PasteScript | 3.7.0 | |
| pexpect | 4.9.0 | |
| pickleshare | 0.7.5 | |
| pika | 1.3.2 | |
| pillow | 10.4.0 | |
| pims | 0.7 | |
| pip | 23.1 | |
| platformdirs | 4.2.2 | setuptools/_vendor |
| pluggy | 1.5.0 | |
| polib | 1.1.1 | |
| prompt-toolkit | 3.0.50 | |
| psutil | 6.1.1 | |
| psycopg2 | 2.9.1 | |
| ptyprocess | 0.7.0 | |
| py | 1.11.0 | |
| pycparser | 2.22 | |
| pygments | 2.19.1 | |
| PyJWT | 2.1.0 | |
| Pylons | 1.0.3 | |
| pyOpenSSL | 23.0.0 | |
| pyparsing | 2.4.7 | |
| pyproj | 3.2.1 | |
| pyrsistent | 0.20.0 | |
| pysolr | 3.6.0 | |
| pystac | 1.7.0 | |
| pystac-client | 0.6.1 | |
| pytest | 6.2.5 | |
| pytest-ckan | 0.0.11 | |
| pytest-cov | 3.0.0 | |
| pytest-raises | 0.11 | |
| python-dateutil | 2.8.1 | |
| python-editor | 1.0.4 | |
| python-magic | 0.4.24 | |
| python-slugify | 6.1.2 | |
| pytz | 2021.1 | |
| PyUtilib | 6.0.0 | |
| PyWavelets | 1.4.1 | |
| PyYAML | 5.4.1 | |
| rasterio | 1.3.11 | |
| redis | 3.5.3 | |
| repoze.lru | 0.7 | |
| repoze.who | 2.3 | |
| requests | 2.27.1 | |
| rfc3986 | 1.5.0 | |
| routes | 1.13 | |
| rq | 1.9.0 | |
| scikit-image | 0.21.0 | |
| scikit-learn | 1.3.2 | |
| scipy | 1.9.3 | |
| sentry-sdk | 2.26.1 | |
| setuptools | 75.3.0 | |
| Shapely | 1.8.5.post1 | |
| shutilwhich | 1.1.0 | |
| simplejson | 3.17.2 | |
| six | 1.17.0 | |
| slicerator | 1.1.0 | |
| sniffio | 1.3.1 | |
| snuggs | 1.4.7 | |
| sortedcontainers | 2.4.0 | |
| soupsieve | 2.6 | |
| sqlalchemy | 1.3.5 | |
| sqlparse | 0.4.1 | |
| stac-validator | 3.3.2 | |
| tblib | 3.0.0 | |
| Tempita | 0.6.0 | |
| text-unidecode | 1.3 | |
| threadpoolctl | 3.5.0 | |
| tifffile | 2023.7.10 | |
| toml | 0.10.2 | |
| tomli | 2.2.1 | |
| toolz | 1.0.0 | |
| tornado | 6.4.2 | |
| traitlets | 5.14.3 | |
| typeguard | 4.3.0 | setuptools/_vendor |
| types-python-dateutil | 2.9.0.20241206 | |
| types-python-slugify | 5.0.4 | |
| types-PyYAML | 6.0.12.20241230 | |
| types-setuptools | 57.4.18 | |
| typing-extensions | 4.12.2 | |
| tzlocal | 2.1 | |
| unicodecsv | 0.14.1 | |
| urllib3 | 1.26.20 | |
| waitress | 3.0.0 | |
| watchdog | 2.1.5 | |
| wcwidth | 0.2.13 | |
| webassets | 2.0 | |
| webencodings | 0.5.1 | |
| weberror | 0.13.1 | |
| webhelpers | 1.3 | |
| WebOb | 1.8.9 | |
| WebTest | 3.0.1 | |
| Werkzeug | 2.0.1 | |
| wheel | 0.40.0 | |
| wtforms | 3.1.2 | |
| xarray | 2023.1.0 | |
| xmltodict | 0.13.0 | |
| zict | 3.0.0 | |
| zipp | 3.20.2 | |
| zope.event | 5.0 | |
| zope.interface | 5.4.0 |
| Resource | Value |
|---|---|
| User CPU time | 482.900 msec |
| System CPU time | 40.244 msec |
| Total CPU time | 523.144 msec |
| Elapsed time | 598.796 msec |
| Context switches | 130 voluntary, 592 involuntary |
| Key | Value |
|---|---|
| HTTP_ACCEPT | */* |
| HTTP_ACCEPT_ENCODING | gzip, br, zstd, deflate |
| HTTP_CONNECTION | upgrade |
| HTTP_HOST | saeoss.sansa.org.za |
| HTTP_USER_AGENT | Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com) |
| QUERY_STRING | |
| REMOTE_ADDR | 172.18.0.1 |
| REQUEST_METHOD | GET |
| SCRIPT_NAME | |
| SERVER_NAME | 0.0.0.0 |
| SERVER_PORT | 5000 |
| SERVER_PROTOCOL | HTTP/1.1 |
| SERVER_SOFTWARE | gunicorn/20.1.0 |
| View Function | args | kwargs |
|---|---|---|
| ckan.views.dataset.groups | [] | id=008cf5d6-83c0-4cfa-b833-7b04808d84c4, package_type=dataset |
| Variable | Value |
|---|
| Variable | Value |
|---|---|
| '_domain' | None |
| '_path' | '/' |
| '_accessed_time' | 1793468851.56214 |
| '_creation_time' | 1793468851.56214 |
| Variable | Value |
|---|
| Variable | Value |
|---|
| Key | Value |
|---|---|
| __file__ | '/home/appuser/ckan.ini' |
| api_token.jwt.algorithm | 'HS256' |
| api_token.jwt.decode.secret | 'string:EgUwHNsBy5AEtrPuS76wG2J3d' |
| api_token.jwt.encode.secret | 'string:EgUwHNsBy5AEtrPuS76wG2J3d' |
| api_token.nbytes | '60' |
| app_instance_uuid | 'a5f335ff-8198-4975-9f08-c2f06fbbbd2f' |
| APPLICATION_ROOT | '/' |
| BABEL_DEFAULT_LOCALE | 'en' |
| BABEL_DEFAULT_TIMEZONE | 'Etc/UTC' |
| BABEL_DOMAIN | 'ckan' |
| BABEL_MULTIPLE_DOMAINS | 'ckan;ckanext-pages;ckanext-harvest' |
| BABEL_TRANSLATION_DIRECTORIES | '/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckan/i18n;/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/pages/plugin/i18n;/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/harvest/i18n' |
| beaker.session.key | 'ckan' |
| beaker.session.secret | 'EgUwHNsBy5AEtrPuS76wG2J3d' |
| beaker.session.validate_key | 'ckan' |
| cache_dir | '/tmp/saeoss_portal/' |
| ckan.activity_list_limit | '31' |
| ckan.activity_streams_email_notifications | 'true' |
| ckan.activity_streams_enabled | 'true' |
| ckan.auth.allow_dataset_collaborators | 'false' |
| ckan.auth.anon_create_dataset | 'false' |
| ckan.auth.create_dataset_if_not_in_organization | 'false' |
| ckan.auth.create_default_api_keys | 'false' |
| ckan.auth.create_unowned_dataset | 'false' |
| ckan.auth.create_user_via_api | 'false' |
| ckan.auth.create_user_via_web | 'true' |
| ckan.auth.public_activity_stream_detail | 'true' |
| ckan.auth.public_user_details | 'true' |
| ckan.auth.roles_that_cascade_to_sub_groups | 'admin' |
| ckan.auth.user_create_groups | 'false' |
| ckan.auth.user_create_organizations | 'false' |
| ckan.auth.user_delete_groups | 'true' |
| ckan.auth.user_delete_organizations | 'true' |
| ckan.base_public_folder | 'public' |
| ckan.base_templates_folder | 'templates' |
| ckan.datastore.default_fts_index_method | 'gist' |
| ckan.datastore.default_fts_lang | 'english' |
| ckan.datastore.read_url | 'postgresql://datastore-default:datastore-default@datastore-db/datastore-dev' |
| ckan.datastore.write_url | 'postgresql://datastore-dev:datastore-dev@datastore-db/datastore-dev' |
| ckan.display_timezone | 'server' |
| ckan.email_notifications_since | '2 days' |
| ckan.favicon | '/images/favicon.ico' |
| ckan.feeds.author_link | '' |
| ckan.feeds.author_name | '' |
| ckan.feeds.authority_name | '' |
| ckan.feeds.date | '' |
| ckan.gravatar_default | 'identicon' |
| ckan.harvest.default_dataset_name_append | 'number-sequence' |
| ckan.harvest.log_level | 'debug' |
| ckan.harvest.log_scope | '0' |
| ckan.harvest.log_timeframe | '10' |
| ckan.harvest.mq.hostname | 'redis' |
| ckan.harvest.mq.port | '6379' |
| ckan.harvest.mq.redis_db | '0' |
| ckan.harvest.mq.type | 'redis' |
| ckan.harvest.status_mail.errored | 'True' |
| ckan.harvest.timeout | '1440' |
| ckan.hide_activity_from_users | 'saeoss_portal' |
| ckan.homepage_style | '' |
| ckan.host | 'saeoss.sansa.org.za' |
| ckan.jobs.timeout | '180' |
| ckan.legacy_route_mappings | '{"harvest_read": "harvest.read", "harvest_edit": "harvest.edit", "harvest_delete": "harvester.delete", "harvest_refresh": "harvester.refresh", "harvest_admin": "harvester.admin", "harvest_about": "harvester.about", "harvest_clear": "harvester.clear", "harvest_job_list": "harvester.job_list", "harvest_job_show_last": "harvester.job_show_last", "harvest_job_show": "harvester.job_show", "harvest_job_abort": "harvester.job_abort", "harvest_object_show": "harvester.object_show"}' |
| ckan.locale_default | 'en' |
| ckan.locale_order | 'en pt_BR ja it cs_CZ ca es fr el sv sr sr@latin no sk fi ru de pl nl bg ko_KR hu sa sl lv' |
| ckan.locales_filtered_out | 'en_GB' |
| ckan.locales_offered | '' |
| ckan.main_css | '/base/css/main.css' |
| ckan.plugins | 'text_view\nimage_view\nrecline_view\nharvest\nckan_harvester\ncsw_harvester\nspatial_harvest_metadata_api\nspatial_metadata\nspatial_query\nresource_proxy\ngeo_view\ngeojson_view\nwmts_view\nshp_view\nscheming_datasets\npages\nsaeoss\nsaeoss_harvesting' |
| ckan.preview.direct | 'png jpg gif' |
| ckan.preview.loadable | 'html htm rdf+xml owl+xml xml n3 n-triples turtle plain atom csv tsv rss txt json' |
| ckan.redis.url | 'redis://redis:6379/0' |
| ckan.saeoss.default_spatial_search_extent | '\n{\n"type": "Polygon",\n"coordinates": [\n[\n[16.4699, -34.8212],\n[32.8931, -34.8212],\n[32.8931, -22.1265],\n[16.4699, -22.1265],\n[16.4699, -34.8212]\n]\n]\n}' |
| ckan.saeoss.portal_staff_organization_title | 'SAEOSS staff' |
| ckan.saeoss.sasdi_themes | '\nAdministrative boundaries 1\nAdministrative boundaries 2\nAerial Imagery\nSatellite Imagery\nCadastre\nConservation\nGeodesy\nHydrology\nWetlands\nLand Cover\nLand Use\nSocial Statistics\nTransport\nAddresses\nBuildings and settlements\nElevations and depths\nGeographic Names\nGeology and soils\nInfrastructure' |
| ckan.search.facets | 'true' |
| ckan.search.indexing.batch_size | '100' |
| ckan.search.solr_allowed_query_parsers | '... frange | field' |
| ckan.site_about | '' |
| ckan.site_author | 'author_name' |
| ckan.site_custom_css | '' |
| ckan.site_description | 'SAEOSS Portal Description' |
| ckan.site_id | 'saeoss_portal' |
| ckan.site_intro_text | '' |
| ckan.site_keywords | 'SAEOSS' |
| ckan.site_logo | '/images/Logo.jpg' |
| ckan.site_title | 'SAEOSS' |
| ckan.site_url | 'https://saeoss.sansa.org.za' |
| ckan.solr.commit_after_write | 'false' |
| ckan.storage_path | '/home/appuser/data' |
| ckan.theme | '' |
| ckan.tracking_enabled | 'true' |
| ckan.uwsgi_processes | '2' |
| ckan.views.default_views | 'image_view text_view recline_view' |
| ckan.webassets.path | '/home/appuser/data/webassets' |
| ckanext.pages.about_menu | 'False' |
| ckanext.pages.editor | 'ckeditor' |
| ckanext.pages.group_menu | 'False' |
| ckanext.spatial.harvest.continue_on_validation_errors | 'True' |
| ckanext.spatial.search_backend | 'solr-bbox' |
| clear_logo_upload | '' |
| computed_template_paths | ['/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/textview/theme/templates', '/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/imageview/theme/templates', '/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/reclineview/theme/templates', '/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/harvest/plugin/../templates', '/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/spatial/plugin/../templates', '/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/geoview/plugin/../templates', '/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/scheming/templates', '/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/pages/plugin/../theme/templates_main', '/home/appuser/app/ckanext/saeoss/plugins/../templates', '/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckan/templates'] |
| DEBUG | True |
| debug | 'true' |
| DEBUG_TB_ENABLED | True |
| DEBUG_TB_HOSTS | () |
| DEBUG_TB_INTERCEPT_REDIRECTS | False |
| DEBUG_TB_PANELS | ('flask_debugtoolbar.panels.versions.VersionDebugPanel', 'flask_debugtoolbar.panels.timer.TimerDebugPanel', 'flask_debugtoolbar.panels.headers.HeaderDebugPanel', 'flask_debugtoolbar.panels.request_vars.RequestVarsDebugPanel', 'flask_debugtoolbar.panels.config_vars.ConfigVarsDebugPanel', 'flask_debugtoolbar.panels.template.TemplateDebugPanel', 'flask_debugtoolbar.panels.sqlalchemy.SQLAlchemyDebugPanel', 'flask_debugtoolbar.panels.logger.LoggingPanel', 'flask_debugtoolbar.panels.route_list.RouteListDebugPanel', 'flask_debugtoolbar.panels.profiler.ProfilerDebugPanel') |
| ENV | 'production' |
| expire_api_token.default_lifetime | '3600' |
| EXPLAIN_TEMPLATE_LOADING | False |
| extra_public_paths | '/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/textview/theme/public,/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/reclineview/theme/public,/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/harvest/plugin/../public,/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/spatial/plugin/../public,/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/geoview/plugin/../public,/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/pages/plugin/../assets/,/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/pages/plugin/../assets/vendor/ckeditor/,/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/pages/plugin/../assets/vendor/ckeditor/skins/moono-lisa,/home/appuser/app/ckanext/saeoss/plugins/../public' |
| extra_template_paths | '/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/textview/theme/templates,/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/imageview/theme/templates,/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/reclineview/theme/templates,/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/harvest/plugin/../templates,/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/spatial/plugin/../templates,/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/geoview/plugin/../templates,/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/scheming/templates,/home/appuser/.cache/pypoetry/virtualenvs/ckanext-saeoss-f8CPI8sp-py3.9/lib/python3.9/site-packages/ckanext/pages/plugin/../theme/templates_main,/home/appuser/app/ckanext/saeoss/plugins/../templates' |
| global_conf | {'__file__': '/home/appuser/ckan.ini', 'here': '/home/appuser', 'debug': 'true'} |
| here | '/home/appuser' |
| JSON_AS_ASCII | True |
| JSON_SORT_KEYS | True |
| JSONIFY_MIMETYPE | 'application/json' |
| JSONIFY_PRETTYPRINT_REGULAR | False |
| logo_upload | '' |
| MAX_CONTENT_LENGTH | None |
| MAX_COOKIE_SIZE | 4093 |
| PERMANENT_SESSION_LIFETIME | datetime.timedelta(days=31) |
| PREFERRED_URL_SCHEME | 'http' |
| PRESERVE_CONTEXT_ON_EXCEPTION | None |
| PROPAGATE_EXCEPTIONS | None |
| pylons.h | {'redirect_to': <function redirect_to at 0x7fd08f2cfd30>, 'url': <function url at 0x7fd08f2cfe50>, 'get_site_protocol_and_host': <function get_site_protocol_and_host at 0x7fd08f2cfdc0>, 'url_for': <function url_for at 0x7fd08f2d3040>, 'url_for_static': <function url_for_static at 0x7fd08f2d31f0>, 'url_for_static_or_external': <function url_for_static_or_external at 0x7fd08f2d3280>, 'is_url': <function is_url at 0x7fd08f2d3310>, 'url_is_local': <function url_is_local at 0x7fd08f2d3430>, 'full_current_url': <function full_current_url at 0x7fd08f2d34c0>, 'current_url': <function current_url at 0x7fd08f2d3550>, 'lang': <function lang at 0x7fd08f2d35e0>, 'ckan_version': <function ckan_version at 0x7fd08f2d3670>, 'lang_native_name': <function lang_native_name at 0x7fd08f2d3700>, 'is_rtl_language': <function is_rtl_language at 0x7fd08f2d3790>, 'get_rtl_theme': <function get_rtl_theme at 0x7fd08f2d3820>, 'get_rtl_css': <function get_rtl_css at 0x7fd08f2d38b0>, 'flash_notice': <function flash_notice at 0x7fd08f2d3940>, 'flash_error': <function flash_error at 0x7fd08f2d3dc0>, 'flash_success': <function flash_success at 0x7fd08f2d3e50>, 'are_there_flash_messages': <function are_there_flash_messages at 0x7fd08f2d3ee0>, 'link_to': <function link_to at 0x7fd08f2543a0>, 'file': <function file at 0x7fd08f254430>, 'submit': <function submit at 0x7fd08f2544c0>, 'nav_link': <function nav_link at 0x7fd08f254550>, 'nav_named_link': <function nav_named_link at 0x7fd08f254820>, 'subnav_link': <function subnav_link at 0x7fd08f254940>, 'subnav_named_route': <function subnav_named_route at 0x7fd08f254a60>, 'build_nav_main': <function build_pages_nav_main at 0x7fd0727a9f70>, 'build_nav_icon': <function build_nav_icon at 0x7fd08f254af0>, 'build_nav': <function build_nav at 0x7fd08f254b80>, 'build_extra_admin_nav': <function build_extra_admin_nav at 0x7fd08f254ca0>, 'default_group_type': <function default_group_type at 0x7fd08f254dc0>, 'get_facet_items_dict': <function get_facet_items_dict at 0x7fd08f254e50>, 'has_more_facets': <function has_more_facets at 0x7fd08f254ee0>, 'unselected_facet_items': <function unselected_facet_items at 0x7fd08f254f70>, 'get_facet_title': <function get_facet_title at 0x7fd08f255160>, 'get_param_int': <function get_param_int at 0x7fd08f255040>, 'sorted_extras': <function sorted_extras at 0x7fd08f255280>, 'check_access': <function check_access at 0x7fd08f255310>, 'get_action': <function get_action at 0x7fd08f2554c0>, 'linked_user': <function linked_user at 0x7fd08f2553a0>, 'group_name_to_title': <function group_name_to_title at 0x7fd08f255550>, 'truncate': <function truncate at 0x7fd08f2555e0>, 'markdown_extract': <function markdown_extract at 0x7fd08f255670>, 'icon_url': <function icon_url at 0x7fd08f255700>, 'icon_html': <function icon_html at 0x7fd08f255790>, 'icon': <function icon at 0x7fd08f255820>, 'resource_icon': <function resource_icon at 0x7fd08f2558b0>, 'format_icon': <function format_icon at 0x7fd08f255940>, 'dict_list_reduce': <function dict_list_reduce at 0x7fd08f2559d0>, 'gravatar': <function gravatar at 0x7fd08f255a60>, 'sanitize_url': <function sanitize_url at 0x7fd08f255af0>, 'user_image': <function user_image at 0x7fd08f255b80>, 'pager_url': <function pager_url at 0x7fd08f255c10>, 'get_page_number': <function get_page_number at 0x7fd08f255ca0>, 'get_display_timezone': <function get_display_timezone at 0x7fd08f255d30>, 'render_datetime': <function render_datetime at 0x7fd08f255dc0>, 'date_str_to_datetime': <function date_str_to_datetime at 0x7fd08f255e50>, 'parse_rfc_2822_date': <function parse_rfc_2822_date at 0x7fd08f255ee0>, 'time_ago_from_timestamp': <function time_ago_from_timestamp at 0x7fd08f255f70>, 'button_attr': <function button_attr at 0x7fd08f256280>, 'dataset_display_name': <function dataset_display_name at 0x7fd08f256310>, 'dataset_link': <function dataset_link at 0x7fd08f2563a0>, 'resource_display_name': <function resource_display_name at 0x7fd08f256430>, 'resource_link': <function resource_link at 0x7fd08f2564c0>, 'tag_link': <function tag_link at 0x7fd08f256550>, 'group_link': <function group_link at 0x7fd08f2565e0>, 'organization_link': <function organization_link at 0x7fd08f256670>, 'dump_json': <function dump_json at 0x7fd08f256700>, 'auto_log_message': <function auto_log_message at 0x7fd08f256790>, 'activity_div': <function activity_div at 0x7fd08f256820>, 'snippet': <function snippet at 0x7fd08f2568b0>, 'convert_to_dict': <function convert_to_dict at 0x7fd08f256940>, 'follow_button': <function follow_button at 0x7fd08f2569d0>, 'follow_count': <function follow_count at 0x7fd08f256a60>, 'add_url_param': <function add_url_param at 0x7fd08f256b80>, 'remove_url_param': <function remove_url_param at 0x7fd08f256c10>, 'include_resource': <function include_resource at 0x7fd08f256ca0>, 'urls_for_resource': <function urls_for_resource at 0x7fd08f256d30>, 'debug_inspect': <function debug_inspect at 0x7fd08f256dc0>, 'popular': <function popular at 0x7fd08f256e50>, 'groups_available': <function groups_available at 0x7fd08f256ee0>, 'organizations_available': <function organizations_available at 0x7fd08f256f70>, 'roles_translated': <function roles_translated at 0x7fd08f257040>, 'user_in_org_or_group': <function user_in_org_or_group at 0x7fd08f2570d0>, 'dashboard_activity_stream': <function dashboard_activity_stream at 0x7fd08f257160>, 'recently_changed_packages_activity_stream': <function recently_changed_packages_activity_stream at 0x7fd08f2571f0>, 'escape_js': <function escape_js at 0x7fd08f257280>, 'get_pkg_dict_extra': <function get_pkg_dict_extra at 0x7fd08f257310>, 'get_request_param': <function get_request_param at 0x7fd08f2573a0>, 'html_auto_link': <function html_auto_link at 0x7fd08f257430>, 'render_markdown': <function render_markdown at 0x7fd08f2574c0>, 'format_resource_items': <function format_resource_items at 0x7fd08f257550>, 'resource_preview': <function resource_preview at 0x7fd08f2575e0>, 'get_allowed_view_types': <function get_allowed_view_types at 0x7fd08f257670>, 'rendered_resource_view': <function rendered_resource_view at 0x7fd08f257700>, 'view_resource_url': <bound method ResourceProxy.view_resource_url of <Plugin ResourceProxy 'resource_proxy'>>, 'resource_view_is_filterable': <function resource_view_is_filterable at 0x7fd08f257820>, 'resource_view_get_fields': <function resource_view_get_fields at 0x7fd08f2578b0>, 'resource_view_is_iframed': <function resource_view_is_iframed at 0x7fd08f257940>, 'resource_view_icon': <function resource_view_icon at 0x7fd08f2579d0>, 'resource_view_display_preview': <function resource_view_display_preview at 0x7fd08f257a60>, 'resource_view_full_page': <function resource_view_full_page at 0x7fd08f257af0>, 'remove_linebreaks': <function remove_linebreaks at 0x7fd08f257b80>, 'list_dict_filter': <function list_dict_filter at 0x7fd08f257c10>, 'SI_number_span': <function SI_number_span at 0x7fd08f257ca0>, 'new_activities': <function new_activities at 0x7fd08f257d30>, 'uploads_enabled': <function uploads_enabled at 0x7fd08f257dc0>, 'get_featured_organizations': <function get_featured_organizations at 0x7fd08f257e50>, 'get_featured_groups': <function get_featured_groups at 0x7fd08f257ee0>, 'featured_group_org': <function featured_group_org at 0x7fd08f257f70>, 'get_site_statistics': <function get_site_statistics at 0x7fd08f258040>, 'resource_formats': <function resource_formats at 0x7fd08f2580d0>, 'unified_resource_format': <function unified_resource_format at 0x7fd08f258160>, 'check_config_permission': <function check_config_permission at 0x7fd08f2581f0>, 'get_organization': <function get_organization at 0x7fd08f258280>, 'license_options': <function license_options at 0x7fd08f258310>, 'get_translated': <function get_translated at 0x7fd08f2583a0>, 'facets': <function facets at 0x7fd08f258430>, 'mail_to': <function mail_to at 0x7fd08f2584c0>, 'radio': <function radio at 0x7fd08f258550>, 'clean_html': <function clean_html at 0x7fd08f2585e0>, 'flash': <ckan.lib.helpers._Flash object at 0x7fd08f2c0850>, 'localised_number': <function localised_number at 0x7fd09050c310>, 'localised_SI_number': <function localised_SI_number at 0x7fd09050c430>, 'localised_nice_date': <function localised_nice_date at 0x7fd09050c1f0>, 'localised_filesize': <function localised_filesize at 0x7fd09050c3a0>, 'get_available_locales': <function get_available_locales at 0x7fd091659ca0>, 'get_locales_dict': <function get_locales_dict at 0x7fd091659c10>, 'literal': <class 'ckan.lib.helpers.literal'>, 'asbool': <function asbool at 0x7fd09175fee0>, 'urlencode': <function urlencode at 0x7fd093320ca0>, 'include_asset': <function include_asset at 0x7fd08f2cf820>, 'render_assets': <function render_assets at 0x7fd08f2cf940>, 'sanitize_id': <function sanitize_id at 0x7fd08f258700>, 'compare_pkg_dicts': <function compare_pkg_dicts at 0x7fd08f258790>, 'activity_list_select': <function activity_list_select at 0x7fd08f258820>, 'get_collaborators': <function get_collaborators at 0x7fd08f2588b0>, 'can_update_owner_org': <function can_update_owner_org at 0x7fd08f258940>, 'check_ckan_version': <function check_ckan_version at 0x7fd08f2589d0>, 'csrf_input': <function csrf_input at 0x7fd08f258a60>, 'saeoss_default_spatial_search_extent': functools.partial(<function get_default_spatial_search_extent at 0x7fd0720ccdc0>, 0.001), 'default_bounding_box': <function get_default_bounding_box at 0x7fd0720cce50>, 'convert_geojson_to_bounding_box': <function convert_geojson_to_bbox at 0x7fd0720ccee0>, 'extent_to_bbox': <function convert_string_extent_to_bbox at 0x7fd0720ccf70>, 'saeoss_themes': <function get_saeoss_themes at 0x7fd0721164c0>, 'iso_topic_categories': <function get_iso_topic_categories at 0x7fd0720ccca0>, 'get_iso_topic_display': <function get_iso_topic_display at 0x7fd0720ccd30>, 'saeoss_show_version': <function helper_show_version at 0x7fd0720a4040>, 'user_is_org_member': <function user_is_org_member at 0x7fd0720a40d0>, 'org_member_list': <function org_member_list at 0x7fd0720a4160>, 'user_is_staff_member': <function user_is_staff_member at 0x7fd0720a41f0>, 'get_featured_datasets': <function get_featured_datasets at 0x7fd0720a4310>, 'get_recently_modified_datasets': <function get_recently_modified_datasets at 0x7fd0720a4430>, 'get_all_datasets_count': <function get_all_datasets_count at 0x7fd0720a44c0>, 'saeoss_org_memberships': <function get_org_memberships at 0x7fd0720a4790>, 'mod_scheming_flatten_subfield': <function mod_scheming_flatten_subfield at 0x7fd0720a4820>, 'get_today_date': <function get_today_date at 0x7fd0720a4940>, 'get_maintenance_custom_other_field_data': <function get_maintenance_custom_other_field_data at 0x7fd0720a48b0>, 'get_release': <function get_current_release at 0x7fd0720a49d0>, 'get_saved_searches': <function get_saved_searches at 0x7fd0720a4af0>, 'get_recent_news': <function get_recent_news at 0x7fd0720a4d30>, 'get_featured_datasets_count': <function get_featured_datasets_count at 0x7fd0720a43a0>, 'get_user_name': <function get_user_name at 0x7fd0720a4b80>, 'get_user_name_from_url': <function get_user_name_from_url at 0x7fd0720a4ca0>, 'get_user_id': <function get_user_id at 0x7fd0720a4c10>, 'get_seo_metatags': <function get_seo_metatags at 0x7fd0720a4dc0>, 'get_datasets_thumbnail': <function get_datasets_thumbnail at 0x7fd0720a4670>, 'get_year': <function get_year at 0x7fd0720a4e50>, 'get_user_dashboard_packages': <function get_user_dashboard_packages at 0x7fd0720a4ee0>, 'get_org_public_records_count': <function get_org_public_records_count at 0x7fd0720a45e0>, 'group_package_count': <function group_package_count at 0x7fd0720a4550>, 'render_content': <function render_content at 0x7fd0727c65e0>, 'get_wysiwyg_editor': <function get_wysiwyg_editor at 0x7fd0727d1b80>, 'get_recent_blog_posts': <function get_recent_blog_posts at 0x7fd0727d1c10>, 'pages_get_plus_icon': <function get_plus_icon at 0x7fd0727d1ca0>, 'scheming_language_text': <function scheming_language_text at 0x7fd072888d30>, 'scheming_field_choices': <function scheming_field_choices at 0x7fd072888dc0>, 'scheming_choices_label': <function scheming_choices_label at 0x7fd072888e50>, 'scheming_datastore_choices': <function scheming_datastore_choices at 0x7fd072888ee0>, 'scheming_field_required': <function scheming_field_required at 0x7fd072888b80>, 'scheming_dataset_schemas': <function scheming_dataset_schemas at 0x7fd072888f70>, 'scheming_get_presets': <function scheming_get_presets at 0x7fd072888c10>, 'scheming_get_preset': <function scheming_get_preset at 0x7fd0727ff040>, 'scheming_get_dataset_schema': <function scheming_get_dataset_schema at 0x7fd0727ff0d0>, 'scheming_get_dataset_form_pages': <function scheming_get_dataset_form_pages at 0x7fd0727ff160>, 'scheming_group_schemas': <function scheming_group_schemas at 0x7fd0727ff1f0>, 'scheming_get_group_schema': <function scheming_get_group_schema at 0x7fd0727ff280>, 'scheming_organization_schemas': <function scheming_organization_schemas at 0x7fd0727ff310>, 'scheming_get_organization_schema': <function scheming_get_organization_schema at 0x7fd0727ff3a0>, 'scheming_get_schema': <function scheming_get_schema at 0x7fd0727ff430>, 'scheming_field_by_name': <function scheming_field_by_name at 0x7fd0727ff4c0>, 'scheming_datetime_to_utc': <function scheming_datetime_to_utc at 0x7fd0727ff5e0>, 'scheming_datetime_to_tz': <function scheming_datetime_to_tz at 0x7fd0727ff670>, 'scheming_get_timezones': <function scheming_get_timezones at 0x7fd0727ff700>, 'scheming_display_json_value': <function scheming_display_json_value at 0x7fd0727ff790>, 'scheming_render_from_string': <function scheming_render_from_string at 0x7fd0727ff820>, 'scheming_flatten_subfield': <function scheming_flatten_subfield at 0x7fd0727ff8b0>, 'get_common_map_config_shp': <function get_common_map_config at 0x7fd072868670>, 'get_shapefile_viewer_config': <function get_shapefile_viewer_config at 0x7fd072868700>, 'get_common_map_config_wmts': <function get_common_map_config at 0x7fd072868670>, 'get_common_map_config_geojson': <function get_common_map_config at 0x7fd072868670>, 'geojson_get_max_file_size': <function get_max_file_size at 0x7fd072868790>, 'get_common_map_config_geoviews': <function get_common_map_config at 0x7fd072868670>, 'get_openlayers_viewer_config': <function get_openlayers_viewer_config at 0x7fd072868820>, 'get_reference_date': <function get_reference_date at 0x7fd068875af0>, 'get_responsible_party': <function get_responsible_party at 0x7fd068875b80>, 'get_common_map_config': <function get_common_map_config at 0x7fd068875c10>, 'package_list_for_source': <function package_list_for_source at 0x7fd068875e50>, 'package_count_for_source': <function package_count_for_source at 0x7fd068875ee0>, 'harvesters_info': <function harvesters_info at 0x7fd068875f70>, 'harvester_types': <function harvester_types at 0x7fd068869040>, 'harvest_frequencies': <function harvest_frequencies at 0x7fd0688690d0>, 'link_for_harvest_object': <function link_for_harvest_object at 0x7fd068869160>, 'harvest_source_extra_fields': <function harvest_source_extra_fields at 0x7fd0688691f0>, 'bootstrap_version': <function bootstrap_version at 0x7fd068869280>, 'get_harvest_source': <function get_harvest_source at 0x7fd068875dc0>, 'get_map_config': <function get_mapview_config at 0x7fd08d0cd550>, 'get_dataproxy_url': <function get_dataproxy_url at 0x7fd08d0cd5e0>} |
| scheming.dataset_schemas | 'ckanext.saeoss:scheming/dataset_schema.yaml' |
| scheming.presets | 'ckanext.saeoss:scheming/presets.yaml ckanext.scheming:presets.json' |
| SECRET_KEY | 'EgUwHNsBy5AEtrPuS76wG2J3d' |
| SEND_FILE_MAX_AGE_DEFAULT | None |
| SERVER_NAME | None |
| SESSION_COOKIE_DOMAIN | None |
| SESSION_COOKIE_HTTPONLY | True |
| SESSION_COOKIE_NAME | 'session' |
| SESSION_COOKIE_PATH | None |
| SESSION_COOKIE_SAMESITE | None |
| SESSION_COOKIE_SECURE | False |
| SESSION_REFRESH_EACH_REQUEST | True |
| smtp.mail_from | 'alamba@sansa.org.za' |
| smtp.reply_to | 'alamba@sansa.org.za' |
| smtp.server | 'relay3.sansa.org.za:25' |
| smtp.starttls | 'False' |
| solr_url | 'http://solr:8983/solr/ckan' |
| sqlalchemy.pool_pre_ping | True |
| sqlalchemy.url | 'postgresql://ckan-dev:ckan-dev@ckan-db/ckan-dev' |
| TEMPLATES_AUTO_RELOAD | None |
| TESTING | False |
| TRAP_BAD_REQUEST_ERRORS | None |
| TRAP_HTTP_EXCEPTIONS | False |
| use | 'egg:ckan' |
| USE_X_SENDFILE | False |
| who.config_file | '/home/appuser/who.ini' |
| who.log_file | '/tmp/saeoss_portal//who_log.ini' |
| who.log_level | 'warning' |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
| h | {'redirect_to': <function redirect_to at 0x7fd08f2cfd30>, 'url': <function url at 0x7fd08f2cfe50>, 'get_site_protocol_and_host': <function get_site_protocol_and_host at 0x7fd08f2cfdc0>, 'url_for': <function url_for at 0x7fd08f2d3040>, 'url_for_static': <function url_for_static at 0x7fd08f2d31f0>, 'url_for_static_or_external': <function url_for_static_or_external at 0x7fd08f2d3280>, 'is_url': <function is_url at 0x7fd08f2d3310>, 'url_is_local': <function url_is_local at 0x7fd08f2d3430>, 'full_current_url': <function full_current_url at 0x7fd08f2d34c0>, 'current_url': <function current_url at 0x7fd08f2d3550>, 'lang': <function lang at 0x7fd08f2d35e0>, 'ckan_version': <function ckan_version at 0x7fd08f2d3670>, 'lang_native_name': <function lang_native_name at 0x7fd08f2d3700>, 'is_rtl_language': <function is_rtl_language at 0x7fd08f2d3790>, 'get_rtl_theme': <function get_rtl_theme at 0x7fd08f2d3820>, 'get_rtl_css': <function get_rtl_css at 0x7fd08f2d38b0>, 'flash_notice': <function flash_notice at 0x7fd08f2d3940>, 'flash_error': <function flash_error at 0x7fd08f2d3dc0>, 'flash_success': <function flash_success at 0x7fd08f2d3e50>, 'are_there_flash_messages': <function are_there_flash_messages at 0x7fd08f2d3ee0>, 'link_to': <function link_to at 0x7fd08f2543a0>, 'file': <function file at 0x7fd08f254430>, 'submit': <function submit at 0x7fd08f2544c0>, 'nav_link': <function nav_link at 0x7fd08f254550>, 'nav_named_link': <function nav_named_link at 0x7fd08f254820>, 'subnav_link': <function subnav_link at 0x7fd08f254940>, 'subnav_named_route': <function subnav_named_route at 0x7fd08f254a60>, 'build_nav_main': <function build_pages_nav_main at 0x7fd0727a9f70>, 'build_nav_icon': <function build_nav_icon at 0x7fd08f254af0>, 'build_nav': <function build_nav at 0x7fd08f254b80>, 'build_extra_admin_nav': <function build_extra_admin_nav at 0x7fd08f254ca0>, 'default_group_type': <function default_group_type at 0x7fd08f254dc0>, 'get_facet_items_dict': <function 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| request | <Request 'http://saeoss.sansa.org.za/dataset/groups/008cf5d6-83c0-4cfa-b833-7b04808d84c4' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.56214, '_creation_time': 1793468851.56214} |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.56214, '_creation_time': 1793468851.56214} |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
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| request | <Request 'http://saeoss.sansa.org.za/dataset/groups/008cf5d6-83c0-4cfa-b833-7b04808d84c4' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.56214, '_creation_time': 1793468851.56214} |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| extent | '{"type": "Polygon", "coordinates": [[[16.48, -34.8], [32.9, -34.8], [32.9, -22.1], [16.48, -22.1], [16.48, -34.8]]]}' |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| pkg | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/BEA.DATA.10000099', 'featured': 'false', 'id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'Landcover data entries were obtained from Landsat satellite images used to generate landcover information into 72 landcover types; vegetation type is collected by SANBI; Aboveground woody biomass (carbon values) collected from high resolution data in the Savannah (CSIR- DMt/ha at 100m resolution) or from lower resolution data for the rest of the country (1km).', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-16T11:53:36.431154', 'metadata_date': '2023-06-23T00:00', 'metadata_modified': '2025-10-16T11:56:14.253772', 'metadata_thumbnail': '', 'name': 'bush_encroachment_and_land_cover_change', 'notes': 'The dataset shows landcover change between 1990 (lcov_1990) and 2013 (lcov_2013). Attribute information includes ; pagenumber, mapcode12 (vegetation type), dn_new (aboveground carbon values-DMt/ha), lcov_1990, lcov_2013, parent1990 (general landcover name), parent2013, old_new (landcover change), parent_old_new (landcover change by name), dn_ave_1990 (average for each landcover in 1990), dn_ave_2013, dn_ave_change (average carbon change between 1990 and 2013); and boolean information for the following: bush encroachment, grass encroachment, perturbation, degradation, restoration, habitat loss. Landcover data entries were obtained from Landsat satellite images used to generate landcover information into 72 landcover types; vegetation type is collected by SANBI; Aboveground woody biomass (carbon values) collected from high resolution data in the Savannah (CSIR- DMt/ha at 100m resolution) or from lower resolution data for the rest of the country (1km).', 'num_resources': 1, 'num_tags': 10, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.48, -34.8], [32.9, -34.8], [32.9, -22.1], [16.48, -22.1], [16.48, -34.8]]]}', 'state': 'active', 'title': 'Bush Encroachment and Land Cover Change', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'Data Curation', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2018-01-01T00:00', 'reference_date_type': 2}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'metadata_standard': [{'name': 'SANS 1878-1:2011', 'version': '1.1'}], 'online_resource': [{'application_profile': '', 'description': '', 'linkage': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000099', 'name': 'Bush Encroachment and Land Cover Change'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-16T11:56:03.044528', 'description': '', 'format': 'GEOMAP', 'format_version': '', 'hash': '', 'id': 'ae0b8354-0344-4a6c-a6ec-2281da96ef1b', 'last_modified': None, 'metadata_modified': '2025-10-16T11:56:03.012500', 'mimetype': None, 'mimetype_inner': None, 'name': 'Bush Encroachment and Land Cover Change', 'package_id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000099', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'South African Environmental Observation Network', 'position_name': 'Organisation', 'role': 'resource_provider', 'website': 'catalogue.saeon.ac.za'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': '', 'delivery_point': '', 'postal_code': ''}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Imagery-Basemaps-Earth Cover', 'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'aboveground woody biomass', 'id': 'd70e9ece-6f66-425c-b968-27d8ca0e9b6f', 'name': 'aboveground woody biomass', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'bush encroachment', 'id': '28f6b44a-fc87-4a0f-99a9-0fe35f0778f7', 'name': 'bush encroachment', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'degradation', 'id': 'e36648ca-0354-47e6-82bc-4f6ca1e9a481', 'name': 'degradation', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'grass encroachment', 'id': '64d2ab52-5e98-4ee4-b682-f5ed25153868', 'name': 'grass encroachment', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'habitat loss', 'id': '4f029253-c65b-4fcd-a869-8275ae9723d6', 'name': 'habitat loss', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'landcover', 'id': '54b45451-0abb-47f6-81c5-47d06954721b', 'name': 'landcover', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'perturbation', 'id': '4993162e-83c9-4d6c-9ed2-4264eb57550c', 'name': 'perturbation', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'restoration', 'id': 'eba4a3e7-e03c-45d7-b834-6d5f5b1b503a', 'name': 'restoration', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'vegetation type', 'id': 'ff1a6433-60ae-47f9-be2c-4fe1b6a51655', 'name': 'vegetation type', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'imageryBaseMapsEarthCover'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': [], 'reference_date': '2018-01-01T00:00'} |
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| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Commercial+forestry&tags=Imagery-Basemaps-Earth+Cover&tags=reson&tags=mean+annual+precipitation&organization=sansa&tags=Socio-economic' [GET]> |
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| error | False |
| facets | Undefined |
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| form_id | 'dataset-search-form' |
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| placeholder | Markup('Search metadata records..') |
| query | '' |
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| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.4954932, '_creation_time': 1793468851.4954932} |
| show_empty | Undefined |
| sorting_selected | 'score desc, metadata_modified desc' |
| type | 'dataset' |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
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| map_config | {} |
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| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.4954932, '_creation_time': 1793468851.4954932} |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
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| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Commercial+forestry&tags=Imagery-Basemaps-Earth+Cover&tags=reson&tags=mean+annual+precipitation&organization=sansa&tags=Socio-economic' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.4954932, '_creation_time': 1793468851.4954932} |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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'get_common_map_config_wmts': <function get_common_map_config at 0x7fd072868670>, 'get_common_map_config_geojson': <function get_common_map_config at 0x7fd072868670>, 'geojson_get_max_file_size': <function get_max_file_size at 0x7fd072868790>, 'get_common_map_config_geoviews': <function get_common_map_config at 0x7fd072868670>, 'get_openlayers_viewer_config': <function get_openlayers_viewer_config at 0x7fd072868820>, 'get_reference_date': <function get_reference_date at 0x7fd068875af0>, 'get_responsible_party': <function get_responsible_party at 0x7fd068875b80>, 'get_common_map_config': <function get_common_map_config at 0x7fd068875c10>, 'package_list_for_source': <function package_list_for_source at 0x7fd068875e50>, 'package_count_for_source': <function package_count_for_source at 0x7fd068875ee0>, 'harvesters_info': <function harvesters_info at 0x7fd068875f70>, 'harvester_types': <function harvester_types at 0x7fd068869040>, 'harvest_frequencies': <function harvest_frequencies at 0x7fd0688690d0>, 'link_for_harvest_object': <function link_for_harvest_object at 0x7fd068869160>, 'harvest_source_extra_fields': <function harvest_source_extra_fields at 0x7fd0688691f0>, 'bootstrap_version': <function bootstrap_version at 0x7fd068869280>, 'get_harvest_source': <function get_harvest_source at 0x7fd068875dc0>, 'get_map_config': <function get_mapview_config at 0x7fd08d0cd550>, 'get_dataproxy_url': <function get_dataproxy_url at 0x7fd08d0cd5e0>} |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Commercial+forestry&tags=Imagery-Basemaps-Earth+Cover&tags=reson&tags=mean+annual+precipitation&organization=sansa&tags=Socio-economic' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.4954932, '_creation_time': 1793468851.4954932} |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
| h | {'redirect_to': <function redirect_to at 0x7fd08f2cfd30>, 'url': <function url at 0x7fd08f2cfe50>, 'get_site_protocol_and_host': <function get_site_protocol_and_host at 0x7fd08f2cfdc0>, 'url_for': <function url_for at 0x7fd08f2d3040>, 'url_for_static': <function url_for_static at 0x7fd08f2d31f0>, 'url_for_static_or_external': <function url_for_static_or_external at 0x7fd08f2d3280>, 'is_url': <function is_url at 0x7fd08f2d3310>, 'url_is_local': <function url_is_local at 0x7fd08f2d3430>, 'full_current_url': <function full_current_url at 0x7fd08f2d34c0>, 'current_url': <function current_url at 0x7fd08f2d3550>, 'lang': <function lang at 0x7fd08f2d35e0>, 'ckan_version': <function ckan_version at 0x7fd08f2d3670>, 'lang_native_name': <function lang_native_name at 0x7fd08f2d3700>, 'is_rtl_language': <function is_rtl_language at 0x7fd08f2d3790>, 'get_rtl_theme': <function get_rtl_theme at 0x7fd08f2d3820>, 'get_rtl_css': <function get_rtl_css at 0x7fd08f2d38b0>, 'flash_notice': <function flash_notice at 0x7fd08f2d3940>, 'flash_error': <function flash_error at 0x7fd08f2d3dc0>, 'flash_success': <function flash_success at 0x7fd08f2d3e50>, 'are_there_flash_messages': <function are_there_flash_messages at 0x7fd08f2d3ee0>, 'link_to': <function link_to at 0x7fd08f2543a0>, 'file': <function file at 0x7fd08f254430>, 'submit': <function submit at 0x7fd08f2544c0>, 'nav_link': <function nav_link at 0x7fd08f254550>, 'nav_named_link': <function nav_named_link at 0x7fd08f254820>, 'subnav_link': <function subnav_link at 0x7fd08f254940>, 'subnav_named_route': <function subnav_named_route at 0x7fd08f254a60>, 'build_nav_main': <function build_pages_nav_main at 0x7fd0727a9f70>, 'build_nav_icon': <function build_nav_icon at 0x7fd08f254af0>, 'build_nav': <function build_nav at 0x7fd08f254b80>, 'build_extra_admin_nav': <function build_extra_admin_nav at 0x7fd08f254ca0>, 'default_group_type': <function default_group_type at 0x7fd08f254dc0>, 'get_facet_items_dict': <function 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| name | 'organization' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Commercial+forestry&tags=Imagery-Basemaps-Earth+Cover&tags=reson&tags=mean+annual+precipitation&organization=sansa&tags=Socio-economic' [GET]> |
| search_facets | {'organization': {'title': 'organization', 'items': [{'name': 'test', 'display_name': 'SANSA Catalogue Satellite Scenes', 'count': 7}, {'name': 'sansa', 'display_name': 'SANSA', 'count': 37}, {'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'display_name': 'NRF-SAIAB', 'count': 16}, {'name': 'saeon', 'display_name': 'NRF-SAEON', 'count': 19}, {'name': 'municipal-demarcation-board', 'display_name': 'MDB', 'count': 3}, {'name': 'dffe', 'display_name': 'DFFE', 'count': 9}]}, 'groups': {'title': 'groups', 'items': []}, 'tags': {'title': 'tags', 'items': [{'name': 'yield estimation', 'display_name': 'yield estimation', 'count': 3}, {'name': 'water and land sustainability', 'display_name': 'water and land sustainability', 'count': 5}, {'name': 'soil moisture', 'display_name': 'soil moisture', 'count': 3}, {'name': 'reson', 'display_name': 'reson', 'count': 4}, {'name': 'residue', 'display_name': 'residue', 'count': 2}, {'name': 'potential', 'display_name': 'potential', 'count': 2}, {'name': 'pinus taeda', 'display_name': 'pinus taeda', 'count': 2}, {'name': 'multibeam bathymetry', 'display_name': 'multibeam bathymetry', 'count': 7}, {'name': 'mesozones', 'display_name': 'mesozones', 'count': 3}, {'name': 'mean annual temperature', 'display_name': 'mean annual temperature', 'count': 2}, {'name': 'mean annual precipitation', 'display_name': 'mean annual precipitation', 'count': 2}, {'name': 'marine environment monitoring', 'display_name': 'marine environment monitoring', 'count': 2}, {'name': 'land use', 'display_name': 'land use', 'count': 3}, {'name': 'land cover', 'display_name': 'land cover', 'count': 3}, {'name': 'hydrographic', 'display_name': 'hydrographic', 'count': 7}, {'name': 'growth areas', 'display_name': 'growth areas', 'count': 6}, {'name': 'general', 'display_name': 'general', 'count': 7}, {'name': 'biomass', 'display_name': 'biomass', 'count': 6}, {'name': 'bathymetry', 'display_name': 'bathymetry', 'count': 13}, {'name': 'agriculture', 'display_name': 'agriculture', 'count': 8}, {'name': 'acacia mearnsii', 'display_name': 'acacia mearnsii', 'count': 1}, {'name': 'aboveground woody biomass', 'display_name': 'aboveground woody biomass', 'count': 1}, {'name': 'Socio-economic', 'display_name': 'Socio-economic', 'count': 2}, {'name': 'Settlement', 'display_name': 'Settlement', 'count': 2}, {'name': 'SPOT4', 'display_name': 'SPOT4', 'count': 2}, {'name': 'SPOT', 'display_name': 'SPOT', 'count': 1}, {'name': 'SGB systems', 'display_name': 'SGB systems', 'count': 7}, {'name': 'Optimum growth area', 'display_name': 'Optimum growth area', 'count': 5}, {'name': 'Oceans', 'display_name': 'Oceans', 'count': 17}, {'name': 'Municipalities', 'display_name': 'Municipalities', 'count': 1}, {'name': 'Images', 'display_name': 'Images', 'count': 2}, {'name': 'Imagery-Basemaps-Earth Cover', 'display_name': 'Imagery-Basemaps-Earth Cover', 'count': 38}, {'name': 'Hazards and vulnerability', 'display_name': 'Hazards and vulnerability', 'count': 1}, {'name': 'Forestry distribution', 'display_name': 'Forestry distribution', 'count': 4}, {'name': 'Farming', 'display_name': 'Farming', 'count': 3}, {'name': 'Environment', 'display_name': 'Environment', 'count': 9}, {'name': 'Energy', 'display_name': 'Energy', 'count': 2}, {'name': 'Economic vulnerability', 'display_name': 'Economic vulnerability', 'count': 1}, {'name': 'Demography', 'display_name': 'Demography', 'count': 1}, {'name': 'Commercial forestry', 'display_name': 'Commercial forestry', 'count': 5}, {'name': 'Commercial cropping system', 'display_name': 'Commercial cropping system', 'count': 1}, {'name': 'Commercial crop system', 'display_name': 'Commercial crop system', 'count': 2}, {'name': 'Commercial Crop Systems', 'display_name': 'Commercial Crop Systems', 'count': 2}, {'name': 'Climatology-Meteorology-Atmosphere', 'display_name': 'Climatology-Meteorology-Atmosphere', 'count': 2}, {'name': 'Climate science', 'display_name': 'Climate science', 'count': 1}, {'name': 'Boundaries', 'display_name': 'Boundaries', 'count': 3}, {'name': 'Biophysical variables', 'display_name': 'Biophysical variables', 'count': 1}, {'name': 'Bioenergy', 'display_name': 'Bioenergy', 'count': 3}, {'name': 'Agriculture', 'display_name': 'Agriculture', 'count': 5}, {'name': 'Acacia mearnsii', 'display_name': 'Acacia mearnsii', 'count': 1}]}, 'res_format': {'title': 'res_format', 'items': [{'name': 'url', 'display_name': 'url', 'count': 1}, {'name': 'SHP', 'display_name': 'SHP', 'count': 3}, {'name': 'PDF', 'display_name': 'PDF', 'count': 9}, {'name': 'JSON', 'display_name': 'JSON', 'count': 7}, {'name': 'Geo-Tiff', 'display_name': 'Geo-Tiff', 'count': 1}, {'name': 'GEOMAP', 'display_name': 'GEOMAP', 'count': 6}, {'name': '/', 'display_name': '/', 'count': 2}, {'name': '.geotiff', 'display_name': '.geotiff', 'count': 1}, {'name': '.geoTIFF', 'display_name': '.geoTIFF', 'count': 1}]}, 'license_id': {'title': 'license_id', 'items': []}, 'harvest_source_title': {'title': 'harvest_source_title', 'items': []}, 'featured': {'title': 'featured', 'items': [{'name': 'true', 'display_name': 'true', 'count': 7}, {'name': 'false', 'display_name': 'false', 'count': 84}]}, 'topic_and_saeoss_themes': {'title': 'topic_and_saeoss_themes', 'items': [{'name': "{'iso_topic_category': 'oceans'}", 'display_name': "{'iso_topic_category': 'oceans'}", 'count': 17}, {'name': "{'iso_topic_category': 'imageryBaseMapsEarthCover'}", 'display_name': "{'iso_topic_category': 'imageryBaseMapsEarthCover'}", 'count': 38}, {'name': "{'iso_topic_category': 'farming'}", 'display_name': "{'iso_topic_category': 'farming'}", 'count': 3}, {'name': "{'iso_topic_category': 'environment'}", 'display_name': "{'iso_topic_category': 'environment'}", 'count': 9}, {'name': "{'iso_topic_category': 'climatologyMeteorologyAtmosphere'}", 'display_name': "{'iso_topic_category': 'climatologyMeteorologyAtmosphere'}", 'count': 2}, {'name': "{'iso_topic_category': 'boundaries'}", 'display_name': "{'iso_topic_category': 'boundaries'}", 'count': 3}, {'name': "{'iso_topic_category': ''}", 'display_name': "{'iso_topic_category': ''}", 'count': 12}]}} |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.4954932, '_creation_time': 1793468851.4954932} |
| title | 'Organizations' |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| name | 'groups' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Commercial+forestry&tags=Imagery-Basemaps-Earth+Cover&tags=reson&tags=mean+annual+precipitation&organization=sansa&tags=Socio-economic' [GET]> |
| search_facets | {'organization': {'title': 'organization', 'items': [{'name': 'test', 'display_name': 'SANSA Catalogue Satellite Scenes', 'count': 7}, {'name': 'sansa', 'display_name': 'SANSA', 'count': 37}, {'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'display_name': 'NRF-SAIAB', 'count': 16}, {'name': 'saeon', 'display_name': 'NRF-SAEON', 'count': 19}, {'name': 'municipal-demarcation-board', 'display_name': 'MDB', 'count': 3}, {'name': 'dffe', 'display_name': 'DFFE', 'count': 9}]}, 'groups': {'title': 'groups', 'items': []}, 'tags': {'title': 'tags', 'items': [{'name': 'yield estimation', 'display_name': 'yield estimation', 'count': 3}, {'name': 'water and land sustainability', 'display_name': 'water and land sustainability', 'count': 5}, {'name': 'soil moisture', 'display_name': 'soil moisture', 'count': 3}, {'name': 'reson', 'display_name': 'reson', 'count': 4}, {'name': 'residue', 'display_name': 'residue', 'count': 2}, {'name': 'potential', 'display_name': 'potential', 'count': 2}, {'name': 'pinus taeda', 'display_name': 'pinus taeda', 'count': 2}, {'name': 'multibeam bathymetry', 'display_name': 'multibeam bathymetry', 'count': 7}, {'name': 'mesozones', 'display_name': 'mesozones', 'count': 3}, {'name': 'mean annual temperature', 'display_name': 'mean annual temperature', 'count': 2}, {'name': 'mean annual precipitation', 'display_name': 'mean annual precipitation', 'count': 2}, {'name': 'marine environment monitoring', 'display_name': 'marine environment monitoring', 'count': 2}, {'name': 'land use', 'display_name': 'land use', 'count': 3}, {'name': 'land cover', 'display_name': 'land cover', 'count': 3}, {'name': 'hydrographic', 'display_name': 'hydrographic', 'count': 7}, {'name': 'growth areas', 'display_name': 'growth areas', 'count': 6}, {'name': 'general', 'display_name': 'general', 'count': 7}, {'name': 'biomass', 'display_name': 'biomass', 'count': 6}, {'name': 'bathymetry', 'display_name': 'bathymetry', 'count': 13}, {'name': 'agriculture', 'display_name': 'agriculture', 'count': 8}, {'name': 'acacia mearnsii', 'display_name': 'acacia mearnsii', 'count': 1}, {'name': 'aboveground woody biomass', 'display_name': 'aboveground woody biomass', 'count': 1}, {'name': 'Socio-economic', 'display_name': 'Socio-economic', 'count': 2}, {'name': 'Settlement', 'display_name': 'Settlement', 'count': 2}, {'name': 'SPOT4', 'display_name': 'SPOT4', 'count': 2}, {'name': 'SPOT', 'display_name': 'SPOT', 'count': 1}, {'name': 'SGB systems', 'display_name': 'SGB systems', 'count': 7}, {'name': 'Optimum growth area', 'display_name': 'Optimum growth area', 'count': 5}, {'name': 'Oceans', 'display_name': 'Oceans', 'count': 17}, {'name': 'Municipalities', 'display_name': 'Municipalities', 'count': 1}, {'name': 'Images', 'display_name': 'Images', 'count': 2}, {'name': 'Imagery-Basemaps-Earth Cover', 'display_name': 'Imagery-Basemaps-Earth Cover', 'count': 38}, {'name': 'Hazards and vulnerability', 'display_name': 'Hazards and vulnerability', 'count': 1}, {'name': 'Forestry distribution', 'display_name': 'Forestry distribution', 'count': 4}, {'name': 'Farming', 'display_name': 'Farming', 'count': 3}, {'name': 'Environment', 'display_name': 'Environment', 'count': 9}, {'name': 'Energy', 'display_name': 'Energy', 'count': 2}, {'name': 'Economic vulnerability', 'display_name': 'Economic vulnerability', 'count': 1}, {'name': 'Demography', 'display_name': 'Demography', 'count': 1}, {'name': 'Commercial forestry', 'display_name': 'Commercial forestry', 'count': 5}, {'name': 'Commercial cropping system', 'display_name': 'Commercial cropping system', 'count': 1}, {'name': 'Commercial crop system', 'display_name': 'Commercial crop system', 'count': 2}, {'name': 'Commercial Crop Systems', 'display_name': 'Commercial Crop Systems', 'count': 2}, {'name': 'Climatology-Meteorology-Atmosphere', 'display_name': 'Climatology-Meteorology-Atmosphere', 'count': 2}, {'name': 'Climate science', 'display_name': 'Climate science', 'count': 1}, {'name': 'Boundaries', 'display_name': 'Boundaries', 'count': 3}, {'name': 'Biophysical variables', 'display_name': 'Biophysical variables', 'count': 1}, {'name': 'Bioenergy', 'display_name': 'Bioenergy', 'count': 3}, {'name': 'Agriculture', 'display_name': 'Agriculture', 'count': 5}, {'name': 'Acacia mearnsii', 'display_name': 'Acacia mearnsii', 'count': 1}]}, 'res_format': {'title': 'res_format', 'items': [{'name': 'url', 'display_name': 'url', 'count': 1}, {'name': 'SHP', 'display_name': 'SHP', 'count': 3}, {'name': 'PDF', 'display_name': 'PDF', 'count': 9}, {'name': 'JSON', 'display_name': 'JSON', 'count': 7}, {'name': 'Geo-Tiff', 'display_name': 'Geo-Tiff', 'count': 1}, {'name': 'GEOMAP', 'display_name': 'GEOMAP', 'count': 6}, {'name': '/', 'display_name': '/', 'count': 2}, {'name': '.geotiff', 'display_name': '.geotiff', 'count': 1}, {'name': '.geoTIFF', 'display_name': '.geoTIFF', 'count': 1}]}, 'license_id': {'title': 'license_id', 'items': []}, 'harvest_source_title': {'title': 'harvest_source_title', 'items': []}, 'featured': {'title': 'featured', 'items': [{'name': 'true', 'display_name': 'true', 'count': 7}, {'name': 'false', 'display_name': 'false', 'count': 84}]}, 'topic_and_saeoss_themes': {'title': 'topic_and_saeoss_themes', 'items': [{'name': "{'iso_topic_category': 'oceans'}", 'display_name': "{'iso_topic_category': 'oceans'}", 'count': 17}, {'name': "{'iso_topic_category': 'imageryBaseMapsEarthCover'}", 'display_name': "{'iso_topic_category': 'imageryBaseMapsEarthCover'}", 'count': 38}, {'name': "{'iso_topic_category': 'farming'}", 'display_name': "{'iso_topic_category': 'farming'}", 'count': 3}, {'name': "{'iso_topic_category': 'environment'}", 'display_name': "{'iso_topic_category': 'environment'}", 'count': 9}, {'name': "{'iso_topic_category': 'climatologyMeteorologyAtmosphere'}", 'display_name': "{'iso_topic_category': 'climatologyMeteorologyAtmosphere'}", 'count': 2}, {'name': "{'iso_topic_category': 'boundaries'}", 'display_name': "{'iso_topic_category': 'boundaries'}", 'count': 3}, {'name': "{'iso_topic_category': ''}", 'display_name': "{'iso_topic_category': ''}", 'count': 12}]}} |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.4954932, '_creation_time': 1793468851.4954932} |
| title | 'Groups' |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
| h | {'redirect_to': <function redirect_to at 0x7fd08f2cfd30>, 'url': <function url at 0x7fd08f2cfe50>, 'get_site_protocol_and_host': <function get_site_protocol_and_host at 0x7fd08f2cfdc0>, 'url_for': <function url_for at 0x7fd08f2d3040>, 'url_for_static': <function url_for_static at 0x7fd08f2d31f0>, 'url_for_static_or_external': <function url_for_static_or_external at 0x7fd08f2d3280>, 'is_url': <function is_url at 0x7fd08f2d3310>, 'url_is_local': <function url_is_local at 0x7fd08f2d3430>, 'full_current_url': <function full_current_url at 0x7fd08f2d34c0>, 'current_url': <function current_url at 0x7fd08f2d3550>, 'lang': <function lang at 0x7fd08f2d35e0>, 'ckan_version': <function ckan_version at 0x7fd08f2d3670>, 'lang_native_name': <function lang_native_name at 0x7fd08f2d3700>, 'is_rtl_language': <function is_rtl_language at 0x7fd08f2d3790>, 'get_rtl_theme': <function get_rtl_theme at 0x7fd08f2d3820>, 'get_rtl_css': <function get_rtl_css at 0x7fd08f2d38b0>, 'flash_notice': <function 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| name | 'harvest_source_title' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Commercial+forestry&tags=Imagery-Basemaps-Earth+Cover&tags=reson&tags=mean+annual+precipitation&organization=sansa&tags=Socio-economic' [GET]> |
| search_facets | {'organization': {'title': 'organization', 'items': [{'name': 'test', 'display_name': 'SANSA Catalogue Satellite Scenes', 'count': 7}, {'name': 'sansa', 'display_name': 'SANSA', 'count': 37}, {'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'display_name': 'NRF-SAIAB', 'count': 16}, {'name': 'saeon', 'display_name': 'NRF-SAEON', 'count': 19}, {'name': 'municipal-demarcation-board', 'display_name': 'MDB', 'count': 3}, {'name': 'dffe', 'display_name': 'DFFE', 'count': 9}]}, 'groups': {'title': 'groups', 'items': []}, 'tags': {'title': 'tags', 'items': [{'name': 'yield estimation', 'display_name': 'yield estimation', 'count': 3}, {'name': 'water and land sustainability', 'display_name': 'water and land sustainability', 'count': 5}, {'name': 'soil moisture', 'display_name': 'soil moisture', 'count': 3}, {'name': 'reson', 'display_name': 'reson', 'count': 4}, {'name': 'residue', 'display_name': 'residue', 'count': 2}, {'name': 'potential', 'display_name': 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vulnerability', 'count': 1}, {'name': 'Forestry distribution', 'display_name': 'Forestry distribution', 'count': 4}, {'name': 'Farming', 'display_name': 'Farming', 'count': 3}, {'name': 'Environment', 'display_name': 'Environment', 'count': 9}, {'name': 'Energy', 'display_name': 'Energy', 'count': 2}, {'name': 'Economic vulnerability', 'display_name': 'Economic vulnerability', 'count': 1}, {'name': 'Demography', 'display_name': 'Demography', 'count': 1}, {'name': 'Commercial forestry', 'display_name': 'Commercial forestry', 'count': 5}, {'name': 'Commercial cropping system', 'display_name': 'Commercial cropping system', 'count': 1}, {'name': 'Commercial crop system', 'display_name': 'Commercial crop system', 'count': 2}, {'name': 'Commercial Crop Systems', 'display_name': 'Commercial Crop Systems', 'count': 2}, {'name': 'Climatology-Meteorology-Atmosphere', 'display_name': 'Climatology-Meteorology-Atmosphere', 'count': 2}, {'name': 'Climate science', 'display_name': 'Climate science', 'count': 1}, {'name': 'Boundaries', 'display_name': 'Boundaries', 'count': 3}, {'name': 'Biophysical variables', 'display_name': 'Biophysical variables', 'count': 1}, {'name': 'Bioenergy', 'display_name': 'Bioenergy', 'count': 3}, {'name': 'Agriculture', 'display_name': 'Agriculture', 'count': 5}, {'name': 'Acacia mearnsii', 'display_name': 'Acacia mearnsii', 'count': 1}]}, 'res_format': {'title': 'res_format', 'items': [{'name': 'url', 'display_name': 'url', 'count': 1}, {'name': 'SHP', 'display_name': 'SHP', 'count': 3}, {'name': 'PDF', 'display_name': 'PDF', 'count': 9}, {'name': 'JSON', 'display_name': 'JSON', 'count': 7}, {'name': 'Geo-Tiff', 'display_name': 'Geo-Tiff', 'count': 1}, {'name': 'GEOMAP', 'display_name': 'GEOMAP', 'count': 6}, {'name': '/', 'display_name': '/', 'count': 2}, {'name': '.geotiff', 'display_name': '.geotiff', 'count': 1}, {'name': '.geoTIFF', 'display_name': '.geoTIFF', 'count': 1}]}, 'license_id': {'title': 'license_id', 'items': []}, 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| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.4954932, '_creation_time': 1793468851.4954932} |
| title | 'Harvest source' |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| name | 'featured' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?organization=south-african-institute-for-aquatic-biodiversity-saiab&tags=acacia+mearnsii&tags=potential&tags=growth+areas&tags=marine+environment+monitoring&tags=soil+moisture' [GET]> |
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| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.432494, '_creation_time': 1793468851.432494} |
| title | 'Featured Metadata records' |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| name | 'topic_and_saeoss_themes' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?organization=south-african-institute-for-aquatic-biodiversity-saiab&tags=acacia+mearnsii&tags=potential&tags=growth+areas&tags=marine+environment+monitoring&tags=soil+moisture' [GET]> |
| search_facets | {'organization': {'title': 'organization', 'items': [{'name': 'test', 'display_name': 'SANSA Catalogue Satellite Scenes', 'count': 7}, {'name': 'sansa', 'display_name': 'SANSA', 'count': 37}, {'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'display_name': 'NRF-SAIAB', 'count': 16}, {'name': 'saeon', 'display_name': 'NRF-SAEON', 'count': 19}, {'name': 'municipal-demarcation-board', 'display_name': 'MDB', 'count': 3}, {'name': 'dffe', 'display_name': 'DFFE', 'count': 9}]}, 'groups': {'title': 'groups', 'items': []}, 'tags': {'title': 'tags', 'items': [{'name': 'yield estimation', 'display_name': 'yield estimation', 'count': 3}, {'name': 'water and land sustainability', 'display_name': 'water and land sustainability', 'count': 5}, {'name': 'soil moisture', 'display_name': 'soil moisture', 'count': 3}, {'name': 'reson', 'display_name': 'reson', 'count': 4}, {'name': 'residue', 'display_name': 'residue', 'count': 2}, {'name': 'potential', 'display_name': 'potential', 'count': 2}, {'name': 'pinus taeda', 'display_name': 'pinus taeda', 'count': 2}, {'name': 'multibeam bathymetry', 'display_name': 'multibeam bathymetry', 'count': 7}, {'name': 'mesozones', 'display_name': 'mesozones', 'count': 3}, {'name': 'mean annual temperature', 'display_name': 'mean annual temperature', 'count': 2}, {'name': 'mean annual precipitation', 'display_name': 'mean annual precipitation', 'count': 2}, {'name': 'marine environment monitoring', 'display_name': 'marine environment monitoring', 'count': 2}, {'name': 'land use', 'display_name': 'land use', 'count': 3}, {'name': 'land cover', 'display_name': 'land cover', 'count': 3}, {'name': 'hydrographic', 'display_name': 'hydrographic', 'count': 7}, {'name': 'growth areas', 'display_name': 'growth areas', 'count': 6}, {'name': 'general', 'display_name': 'general', 'count': 7}, {'name': 'biomass', 'display_name': 'biomass', 'count': 6}, {'name': 'bathymetry', 'display_name': 'bathymetry', 'count': 13}, {'name': 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vulnerability', 'count': 1}, {'name': 'Forestry distribution', 'display_name': 'Forestry distribution', 'count': 4}, {'name': 'Farming', 'display_name': 'Farming', 'count': 3}, {'name': 'Environment', 'display_name': 'Environment', 'count': 9}, {'name': 'Energy', 'display_name': 'Energy', 'count': 2}, {'name': 'Economic vulnerability', 'display_name': 'Economic vulnerability', 'count': 1}, {'name': 'Demography', 'display_name': 'Demography', 'count': 1}, {'name': 'Commercial forestry', 'display_name': 'Commercial forestry', 'count': 5}, {'name': 'Commercial cropping system', 'display_name': 'Commercial cropping system', 'count': 1}, {'name': 'Commercial crop system', 'display_name': 'Commercial crop system', 'count': 2}, {'name': 'Commercial Crop Systems', 'display_name': 'Commercial Crop Systems', 'count': 2}, {'name': 'Climatology-Meteorology-Atmosphere', 'display_name': 'Climatology-Meteorology-Atmosphere', 'count': 2}, {'name': 'Climate science', 'display_name': 'Climate science', 'count': 1}, {'name': 'Boundaries', 'display_name': 'Boundaries', 'count': 3}, {'name': 'Biophysical variables', 'display_name': 'Biophysical variables', 'count': 1}, {'name': 'Bioenergy', 'display_name': 'Bioenergy', 'count': 3}, {'name': 'Agriculture', 'display_name': 'Agriculture', 'count': 5}, {'name': 'Acacia mearnsii', 'display_name': 'Acacia mearnsii', 'count': 1}]}, 'res_format': {'title': 'res_format', 'items': [{'name': 'url', 'display_name': 'url', 'count': 1}, {'name': 'SHP', 'display_name': 'SHP', 'count': 3}, {'name': 'PDF', 'display_name': 'PDF', 'count': 9}, {'name': 'JSON', 'display_name': 'JSON', 'count': 7}, {'name': 'Geo-Tiff', 'display_name': 'Geo-Tiff', 'count': 1}, {'name': 'GEOMAP', 'display_name': 'GEOMAP', 'count': 6}, {'name': '/', 'display_name': '/', 'count': 2}, {'name': '.geotiff', 'display_name': '.geotiff', 'count': 1}, {'name': '.geoTIFF', 'display_name': '.geoTIFF', 'count': 1}]}, 'license_id': {'title': 'license_id', 'items': []}, 'harvest_source_title': {'title': 'harvest_source_title', 'items': []}, 'featured': {'title': 'featured', 'items': [{'name': 'true', 'display_name': 'true', 'count': 7}, {'name': 'false', 'display_name': 'false', 'count': 84}]}, 'topic_and_saeoss_themes': {'title': 'topic_and_saeoss_themes', 'items': [{'name': "{'iso_topic_category': 'oceans'}", 'display_name': "{'iso_topic_category': 'oceans'}", 'count': 17}, {'name': "{'iso_topic_category': 'imageryBaseMapsEarthCover'}", 'display_name': "{'iso_topic_category': 'imageryBaseMapsEarthCover'}", 'count': 38}, {'name': "{'iso_topic_category': 'farming'}", 'display_name': "{'iso_topic_category': 'farming'}", 'count': 3}, {'name': "{'iso_topic_category': 'environment'}", 'display_name': "{'iso_topic_category': 'environment'}", 'count': 9}, {'name': "{'iso_topic_category': 'climatologyMeteorologyAtmosphere'}", 'display_name': "{'iso_topic_category': 'climatologyMeteorologyAtmosphere'}", 'count': 2}, {'name': "{'iso_topic_category': 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| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.432494, '_creation_time': 1793468851.432494} |
| title | 'Topic Category' |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| name | 'tags' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?organization=south-african-institute-for-aquatic-biodiversity-saiab&tags=acacia+mearnsii&tags=potential&tags=growth+areas&tags=marine+environment+monitoring&tags=soil+moisture' [GET]> |
| search_facets | {'organization': {'title': 'organization', 'items': [{'name': 'test', 'display_name': 'SANSA Catalogue Satellite Scenes', 'count': 7}, {'name': 'sansa', 'display_name': 'SANSA', 'count': 37}, {'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'display_name': 'NRF-SAIAB', 'count': 16}, {'name': 'saeon', 'display_name': 'NRF-SAEON', 'count': 19}, {'name': 'municipal-demarcation-board', 'display_name': 'MDB', 'count': 3}, {'name': 'dffe', 'display_name': 'DFFE', 'count': 9}]}, 'groups': {'title': 'groups', 'items': []}, 'tags': {'title': 'tags', 'items': [{'name': 'yield estimation', 'display_name': 'yield estimation', 'count': 3}, {'name': 'water and land sustainability', 'display_name': 'water and land sustainability', 'count': 5}, {'name': 'soil moisture', 'display_name': 'soil moisture', 'count': 3}, {'name': 'reson', 'display_name': 'reson', 'count': 4}, {'name': 'residue', 'display_name': 'residue', 'count': 2}, {'name': 'potential', 'display_name': 'potential', 'count': 2}, {'name': 'pinus taeda', 'display_name': 'pinus taeda', 'count': 2}, {'name': 'multibeam bathymetry', 'display_name': 'multibeam bathymetry', 'count': 7}, {'name': 'mesozones', 'display_name': 'mesozones', 'count': 3}, {'name': 'mean annual temperature', 'display_name': 'mean annual temperature', 'count': 2}, {'name': 'mean annual precipitation', 'display_name': 'mean annual precipitation', 'count': 2}, {'name': 'marine environment monitoring', 'display_name': 'marine environment monitoring', 'count': 2}, {'name': 'land use', 'display_name': 'land use', 'count': 3}, {'name': 'land cover', 'display_name': 'land cover', 'count': 3}, {'name': 'hydrographic', 'display_name': 'hydrographic', 'count': 7}, {'name': 'growth areas', 'display_name': 'growth areas', 'count': 6}, {'name': 'general', 'display_name': 'general', 'count': 7}, {'name': 'biomass', 'display_name': 'biomass', 'count': 6}, {'name': 'bathymetry', 'display_name': 'bathymetry', 'count': 13}, {'name': 'agriculture', 'display_name': 'agriculture', 'count': 8}, {'name': 'acacia mearnsii', 'display_name': 'acacia mearnsii', 'count': 1}, {'name': 'aboveground woody biomass', 'display_name': 'aboveground woody biomass', 'count': 1}, {'name': 'Socio-economic', 'display_name': 'Socio-economic', 'count': 2}, {'name': 'Settlement', 'display_name': 'Settlement', 'count': 2}, {'name': 'SPOT4', 'display_name': 'SPOT4', 'count': 2}, {'name': 'SPOT', 'display_name': 'SPOT', 'count': 1}, {'name': 'SGB systems', 'display_name': 'SGB systems', 'count': 7}, {'name': 'Optimum growth area', 'display_name': 'Optimum growth area', 'count': 5}, {'name': 'Oceans', 'display_name': 'Oceans', 'count': 17}, {'name': 'Municipalities', 'display_name': 'Municipalities', 'count': 1}, {'name': 'Images', 'display_name': 'Images', 'count': 2}, {'name': 'Imagery-Basemaps-Earth Cover', 'display_name': 'Imagery-Basemaps-Earth Cover', 'count': 38}, {'name': 'Hazards and vulnerability', 'display_name': 'Hazards and vulnerability', 'count': 1}, {'name': 'Forestry distribution', 'display_name': 'Forestry distribution', 'count': 4}, {'name': 'Farming', 'display_name': 'Farming', 'count': 3}, {'name': 'Environment', 'display_name': 'Environment', 'count': 9}, {'name': 'Energy', 'display_name': 'Energy', 'count': 2}, {'name': 'Economic vulnerability', 'display_name': 'Economic vulnerability', 'count': 1}, {'name': 'Demography', 'display_name': 'Demography', 'count': 1}, {'name': 'Commercial forestry', 'display_name': 'Commercial forestry', 'count': 5}, {'name': 'Commercial cropping system', 'display_name': 'Commercial cropping system', 'count': 1}, {'name': 'Commercial crop system', 'display_name': 'Commercial crop system', 'count': 2}, {'name': 'Commercial Crop Systems', 'display_name': 'Commercial Crop Systems', 'count': 2}, {'name': 'Climatology-Meteorology-Atmosphere', 'display_name': 'Climatology-Meteorology-Atmosphere', 'count': 2}, {'name': 'Climate science', 'display_name': 'Climate science', 'count': 1}, {'name': 'Boundaries', 'display_name': 'Boundaries', 'count': 3}, {'name': 'Biophysical variables', 'display_name': 'Biophysical variables', 'count': 1}, {'name': 'Bioenergy', 'display_name': 'Bioenergy', 'count': 3}, {'name': 'Agriculture', 'display_name': 'Agriculture', 'count': 5}, {'name': 'Acacia mearnsii', 'display_name': 'Acacia mearnsii', 'count': 1}]}, 'res_format': {'title': 'res_format', 'items': [{'name': 'url', 'display_name': 'url', 'count': 1}, {'name': 'SHP', 'display_name': 'SHP', 'count': 3}, {'name': 'PDF', 'display_name': 'PDF', 'count': 9}, {'name': 'JSON', 'display_name': 'JSON', 'count': 7}, {'name': 'Geo-Tiff', 'display_name': 'Geo-Tiff', 'count': 1}, {'name': 'GEOMAP', 'display_name': 'GEOMAP', 'count': 6}, {'name': '/', 'display_name': '/', 'count': 2}, {'name': '.geotiff', 'display_name': '.geotiff', 'count': 1}, {'name': '.geoTIFF', 'display_name': '.geoTIFF', 'count': 1}]}, 'license_id': {'title': 'license_id', 'items': []}, 'harvest_source_title': {'title': 'harvest_source_title', 'items': []}, 'featured': {'title': 'featured', 'items': [{'name': 'true', 'display_name': 'true', 'count': 7}, {'name': 'false', 'display_name': 'false', 'count': 84}]}, 'topic_and_saeoss_themes': {'title': 'topic_and_saeoss_themes', 'items': [{'name': "{'iso_topic_category': 'oceans'}", 'display_name': "{'iso_topic_category': 'oceans'}", 'count': 17}, {'name': "{'iso_topic_category': 'imageryBaseMapsEarthCover'}", 'display_name': "{'iso_topic_category': 'imageryBaseMapsEarthCover'}", 'count': 38}, {'name': "{'iso_topic_category': 'farming'}", 'display_name': "{'iso_topic_category': 'farming'}", 'count': 3}, {'name': "{'iso_topic_category': 'environment'}", 'display_name': "{'iso_topic_category': 'environment'}", 'count': 9}, {'name': "{'iso_topic_category': 'climatologyMeteorologyAtmosphere'}", 'display_name': "{'iso_topic_category': 'climatologyMeteorologyAtmosphere'}", 'count': 2}, {'name': "{'iso_topic_category': 'boundaries'}", 'display_name': "{'iso_topic_category': 'boundaries'}", 'count': 3}, {'name': "{'iso_topic_category': ''}", 'display_name': "{'iso_topic_category': ''}", 'count': 12}]}} |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.432494, '_creation_time': 1793468851.432494} |
| title | 'Tags' |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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Papaya needs relatively little water in the rainy summer season in South Africa, but if irrigated every 2 weeks in the dry season it is well adapted to hot, dry areas as the fruit then matures early and is then highly palatable owing to its high sugar content (Smith, 1998). Papaya has high heat requirements, with average daily temperatures for optimum growth between 20 and 30 degree Celsius. Determination of climatically optimum growth areas for Papaya in South Africa is based on the expert knowledge of Bower (2005) and Moll (2005), climatically optimum growth areas were determined according to the four basic criteria: Criterion 1: Heat units (base 12 degree Celsius) should exceed 2 000 days per annum, Criterion 2: Optimum areas should have a low frequency of 4 consecutive days with maximum temperatures > 36 degree Celsius, Criterion 3: Monthly means of daily average temperatures in December and January should be 23 degree Celsius - 30 degree Celsius and Criterion 4: Optimum growth areas should have a low frequency of 4 consecutive days with minimum temperatures < 17 degree Celsius. Using the 50 year time series of quality controlled daily maximum and minimum temperatures generated by Schulze and Maharaj (2004) at a spatial resolution of 1 arc minute (i.e. 1` x 1` of a degree latitude/longitude), the above four temperature based criteria were first mapped individually and then superimposed to determine the climatically optimum growth areas of papaya in South Africa.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T11:08:39.531145', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T11:11:28.922543', 'metadata_thumbnail': '', 'name': 'climatically_optimum_growth_areas_papaya_composite_of_all_criteria', 'notes': 'Papaya, or pawpaw (Carica papaya) is a tropical fruit grown widely between latitudes 32 degree N and S. High in Vitamin C, papaya is indigenous to tropical America (ARC, 2005). 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Determination of climatically optimum growth areas for Papaya in South Africa is based on the expert knowledge of Bower (2005) and Moll (2005), climatically optimum growth areas were determined according to the four basic criteria: Criterion 1: Heat units (base 12 degree Celsius) should exceed 2 000 days per annum, Criterion 2: Optimum areas should have a low frequency of 4 consecutive days with maximum temperatures > 36 degree Celsius, Criterion 3: Monthly means of daily average temperatures in December and January should be 23 degree Celsius - 30 degree Celsius and Criterion 4: Optimum growth areas should have a low frequency of 4 consecutive days with minimum temperatures < 17 degree Celsius. Using the 50 year time series of quality controlled daily maximum and minimum temperatures generated by Schulze and Maharaj (2004) at a spatial resolution of 1 arc minute (i.e. 1` x 1` of a degree latitude/longitude), the above four temperature based criteria were first mapped individually and then superimposed to determine the climatically optimum growth areas of papaya in South Africa.', 'num_resources': 1, 'num_tags': 11, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. 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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/SARVA.BEEH.10000104', 'featured': 'false', 'id': '84eba355-8f57-484b-b365-b008e6769b37', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'Litchis, Litchi chinensis, are indigenous to subtropical southern China and were first imported to South Africa from Mauritius in the 1870s (ARC, 2005). Of the 7 000 tons of litchis produced annually in South Africa, with a gross value exceeding R25 million, about 60 percent come from Mpumalanga, 38 percent from Limpopo and 2 percent from KwaZulu-Natal (Statistics SA, 2002; NDA, 2005).', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T10:52:41.204356', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T11:03:29.674696', 'metadata_thumbnail': '', 'name': 'climatically_optimum_growth_areas_litchis_composite_of_all_criteria', 'notes': 'Litchis, Litchi chinensis, are indigenous to subtropical southern China and were first imported to South Africa from Mauritius in the 1870s (ARC, 2005). Of the 7 000 tons of litchis produced annually in South Africa, with a gross value exceeding R25 million, about 60 percent come from Mpumalanga, 38 percent from Limpopo and 2 percent from KwaZulu-Natal (Statistics SA, 2002; NDA, 2005).', 'num_resources': 1, 'num_tags': 9, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.458333, -34.841667], [32.908333, -34.841667], [32.908333, -22.141667], [16.458333, -22.141667], [16.458333, -34.841667]]]}', 'state': 'active', 'title': 'Climatically Optimum Growth Areas Litchis Composite Of All Criteria', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'SAEON', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2007-01-01T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'metadata_standard': [{'name': 'SANS 1878-1:2011', 'version': '1.1'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'https://catalogue.saeon.ac.za/records/10.15493/SARVA.BEEH.10000104', 'name': 'Climatically Optimum Growth Areas Litchis Composite Of All Criteria'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-17T10:57:28.000498', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': '0d6d7010-b440-48b4-b1f1-23f9e48ae3e9', 'last_modified': None, 'metadata_modified': '2025-10-17T10:57:27.994148', 'mimetype': None, 'mimetype_inner': None, 'name': 'Climatically Optimum Growth Areas Litchis Composite Of All Criteria', 'package_id': '84eba355-8f57-484b-b365-b008e6769b37', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://repository.saeon.ac.za/index.php/s/3E4cCsAMaj92xjw?opendetails=', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'R.E. 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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/SARVA.BEEH.10000186', 'featured': 'false', 'id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': ' Criteria for climatically optimum growth areas for passion fruit were refined by Bower (2005). Six criteria were identified and using the 1` x 1` gridded information on temperature related parameters derived by Schulze and Maharaj (2004), the following criteria were mapped: Criterion 1: > 330 days per year with a minimum temperature exceeding 2 degree Celsius; Criterion 2: Fewer than 2 consecutive days per annum with minimum temperatures < -2 degree Celsius; Criterion 3: There should not be > 3 consecutive frost days per annum; Criterion 4: In total, there should be < 25 days per annum with frost; Criterion 5: Maximum temperatures should be < 28 degree Celsius on at least 25 days of each month; Criterion 6: Maximum temperatures should not exceed 35 degree Celsius on any two consecutive days per month. Mapped criteria were given either categorical or probabilistic weightings and when the six maps were superimposed, suitable and less suitable climatically optimum growth areas could be identified.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T10:04:49.448189', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T10:07:55.203305', 'metadata_thumbnail': '', 'name': 'climatically_optimum_growth_areas-_passion_fruit_composite_of_all_criteria', 'notes': 'Passion fruit are believed to have originated from southern Brazil (Kenyaweb, 2005).The most commonly commercially grown of 55 edible species of passion fruit is Passiflora edulis, which consists of perennial woody vines with each producing about 100 fruits per year (RBGK, 2005). In South Africa passion fruit ideally requires a cool subtropical climate for optimum production (Smith, 1998). The vines prefer moderate temperatures throughout the year, with monthly means of daily maxima < 29 degree Celsius. The plants are sensitive to severe frosts, and monthly means of minimum temperatures should be > 6 degree Celsius (NDA, 2005). For commercial production under rainfed conditions MAP should ideally exceed 1 200 mm and be well distributed throughout the year (NDA, 2005), as it is important to maintain the soil moist throughout the growing season to keep the vines flowering and fruiting for longer periods and prevent the fruit from shriveling and falling prematurely (Kenyaweb, 2005). Total commercial production of passion fruit in South Africa is 1 300t per season, with a range (between 1998/9 - 2003/4) in more recent from 900 - 1 700 t (NDA, 2005).The gross value is R65 million/year (NDA, 2005). Criteria for climatically optimum growth areas for passion fruit were refined by Bower (2005). Six criteria were identified and using the 1` x 1` gridded information on temperature related parameters derived by Schulze and Maharaj (2004), the following criteria were mapped: Criterion 1: > 330 days per year with a minimum temperature exceeding 2 degree Celsius; Criterion 2: Fewer than 2 consecutive days per annum with minimum temperatures < -2 degree Celsius; Criterion 3: There should not be > 3 consecutive frost days per annum; Criterion 4: In total, there should be < 25 days per annum with frost; Criterion 5: Maximum temperatures should be < 28 degree Celsius on at least 25 days of each month; Criterion 6: Maximum temperatures should not exceed 35 degree Celsius on any two consecutive days per month. Mapped criteria were given either categorical or probabilistic weightings and when the six maps were superimposed, suitable and less suitable climatically optimum growth areas could be identified. ', 'num_resources': 1, 'num_tags': 10, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.458333, -34.841667], [32.908333, -34.841667], [32.908333, -22.141667], [16.458333, -22.141667], [16.458333, -34.841667]]]}', 'state': 'active', 'title': 'Climatically Optimum Growth Areas (Passion Fruit) Composite Of All Criteria', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'SAEON', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2007-01-01T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'https://catalogue.saeon.ac.za/records/10.15493/SARVA.BEEH.10000186', 'name': 'Climatically Optimum Growth Areas (Passion Fruit) Composite Of All Criteria'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-17T10:05:36.992639', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': '9d64a80d-8520-4035-b2c0-64b3a5308189', 'last_modified': None, 'metadata_modified': '2025-10-17T10:05:36.987063', 'mimetype': None, 'mimetype_inner': None, 'name': 'Climatically Optimum Growth Areas (Passion Fruit) Composite Of All Criteria', 'package_id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://repository.saeon.ac.za/index.php/s/KDwnyqAwyrwkwrM?opendetails=', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'R.E. 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This dataset is used to map, delineate and classify the seabed for the purpose of classifying habitats, ecosystems, understanding spatial pattern-process linkages in marine environments (biological and geological).', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-11T12:56:09.047921', 'metadata_date': '2023-01-25T13:26', 'metadata_modified': '2025-09-12T09:09:24.142438', 'metadata_thumbnail': '', 'name': 'bathymetry_data_for_seascapes_december_2022', 'notes': "This dataset forms part of the the South African Institute for Aquatic Biodiversity (SAIAB)'s collection of Bathymetry data for the African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA. This hydrographic survey covers 18 square km and is part of the SeaScapes 2022 project. The dataset consists of locations below the surface of the water. Habitat degradation and loss of structural complexity are major threats to coastal ecosystems, with impacts associated with climate change placing additional pressure on these valuable ecosystems. Seascape ecology (which focuses on mosaics of spatially discrete and recognisable patches of habitat) is an emerging science that strives to understand spatial pattern-process linkages in marine environments. Understanding multi-scale linkages between seascape structure, function and change can better support sustainable ocean development, biodiversity protection and help to understand the consequences of human activity. A multi-disciplinary approach will be undertaken within shallow coastal waters of the south coast of South Africa in two different coastal seascapes: 1) Swartkops Estuary to Maitlands Estuary (incorporating the lower reaches of the Swartkops Estuary and nearshore from 1-30 m) and 2) Aston Bay to Oyster Bay (incorporating the lower reaches of the Kromme Estuary and nearshore from 1-30 m). This project aims to 1) map and model seascape spatial structure through the collection of high-resolution georeferenced imagery; 2) study the impact of climate change in seascapes (seascape change), with a focus on macrophytes (seagrass and seaweed) and associated organisms as well as the role that macrophytes may have in mitigating the effects of ocean acidification; and 3) assess connectivity of mobile organisms (fish) within seascapes and between shallow nursery seascapes (<7 m) and deeper adult habitat (reef deeper than 7 m). These data are combined from MB11_2022 and MB12_2022 surveys. This dataset is used to map, delineate and classify the seabed for the purpose of classifying habitats, ecosystems, understanding spatial pattern-process linkages in marine environments (biological and geological).", 'num_resources': 1, 'num_tags': 1, 'organization': {'id': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'title': 'NRF-SAIAB', 'type': 'organization', 'description': 'The South African Institute for Aquatic Biodiversity (NRF-SAIAB) is a national facility of the National Research Foundation (NRF). The NRF-SAIAB contributes to two National Operation Phakisa Labs through which South Africa has identified the potential to develop the Biodiversity Economy and the Blue Economy.', 'image_url': '2025-09-11-081630.579961SouthAfricanInstituteforAquaticBiodiversitylogo.svg.png', 'created': '2025-09-11T08:16:30.612011', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[24.843889, -34.191235], [24.91351, -34.191235], [24.91351, -34.144122], [24.843889, -34.144122], [24.843889, -34.191235]]]}', 'state': 'active', 'title': 'Bathymetry data for Seascapes, December 2022', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'T.Wanda@saiab.nrf.ac.za', 'individual_name': 'Thamsanqa Wanda', 'position_name': 'Geologist', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2023-01-25T14:36', 'reference_date_type': 2}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'http://doi.org/ 10.15493/NRF.SAIAB.20232501 ', 'name': 'bathymetry_data_for_seascapes_december_2022'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-09-12T09:09:24.164942', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': '32dcb012-58c4-48fe-a685-8be1d85582ce', 'last_modified': None, 'metadata_modified': '2025-09-12T09:09:24.156883', 'mimetype': None, 'mimetype_inner': None, 'name': 'Bathymetry data for Seascapes, December 2022', 'package_id': 'bdc7fb1f-807d-41e3-893e-30a2f6f52f7c', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://catalogue.saeon.ac.za/list/records/10.15493/NRF.SAIAB.20232501?search=68c2b42da71d058a420b0236&disableSidebar=false&showSearchBar=true', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'South African Institute for Aquatic Biodiversity ', 'position_name': 'SAIAB', 'role': 'owner', 'website': ''}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': 'Makhanda', 'delivery_point': 'Somerset Street', 'postal_code': '6139'}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Oceans', 'id': '2547e672-a968-4048-814b-29a682525254', 'name': 'Oceans', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'oceans'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []} |
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Additionally, this study will assess whether the zonation plan provides for representation of all reef and canyon types within each zone or if there is unbalanced coverage for certain reefs and in certain zones. This is important to assess at the initiation of the MPA, especially to ensure that interpretation of monitoring results in future, which compare ecosystems and fish on reefs and canyons in the mesophotic zone, are not flawed by natural differences from the outset due to the selection of zone boundaries. This dataset consists of XYZ points below the sea surface and relative to mean sea level. 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Additionally, this study will assess whether the zonation plans provide for representation of all reef and canyon types within each zone or if there is unbalanced coverage for certain reefs and in certain zones. This is important to assess the initiation of the MPA, especially to ensure that the interpretation of monitoring results in future to compare ecosystems and fish on reefs and canyons in the mesophotic zone are not flawed by natural differences from the outset due to the selection of zone boundaries. This dataset consists of XYZ points below the sea surface and relative to the mean sea level. 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Additionally, this study will assess whether the zonation plan provides for representation of all reef and canyon types within each zone or if there is unbalanced coverage for certain reefs and in certain zones. This is important to assess at the initiation of the MPA, especially to ensure that the interpretation of monitoring results in future, which compare ecosystems and fish on reefs and canyons in the mesophotic zone are not flawed by natural differences from the outset due to the selection of zone boundaries. This dataset consists of XYZ points below the sea surface and relative to the mean sea level. 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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/NRF.SAIAB.20232516', 'featured': 'false', 'id': '209cd0fd-d80b-492e-969e-e8223d010104', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'This dataset consists of locations below the surface of the water where the depth of water is precisely known relative to MSL. Sessile and mobile epibenthic invertebrates are organisms that are part of the benthic community.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-11T14:21:53.400156', 'metadata_date': '2023-01-27T00:00', 'metadata_modified': '2025-09-12T08:29:23.503760', 'metadata_thumbnail': '', 'name': 'bathymetry_data_collected_from_mobile_epibenthic_invertebrate_stations_november_2022', 'notes': "This dataset forms part of the South African Institute for Aquatic Biodiversity (SAIAB)'s collection of Bathymetry data for the African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA. This dataset is used for seabed analysis, the interpretation and creation of derivatives for geomorphological and statistical analysis in comparison with biological metrics. This dataset consists of locations below the surface of the water where the depth of water is precisely known relative to MSL. Sessile and mobile epibenthic invertebrates are organisms that are part of the benthic community. These organisms perform crucial roles and ecosystem services that benefit the benthic community and marine environment as a whole. These organisms’ distribution is affected by many abiotic and biotic factors. This study aims to determine the distribution of both the mobile and sessile epibenthic invertebrates and to investigate the relationship between the mobile and sessile epibenthic invertebrates. The objectives are to measure the abundance and composition of both the mobile and sessile epibenthic invertebrates found on the inner continental shelf of Umhlanga, KwaZulu-Natal and to analyze the statistical relationship between the sessile epibenthic assemblage data and the mobile epibenthic assemblage data. These aims and objectives will be satisfied by sampling on the Umhlanga coast using a drop camera and a baited drop camera. Multivariate tests were run on the abundance data and a Pearson’s correlation test for the relationship between the mobile and sessile epibenthic invertebrates. This study will provide new data on the presence and abundance of understudied mobile invertebrates inhabiting unconsolidated sediments of the KZN inner continental shelf and contribute to our understanding of the relationship between sessile and mobile invertebrate epifauna on the unconsolidated inner continental shelf. It will also test and establish the usefulness of a baited drop-camera for sampling epibenthic invertebrates.", 'num_resources': 1, 'num_tags': 6, 'organization': {'id': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'title': 'NRF-SAIAB', 'type': 'organization', 'description': 'The South African Institute for Aquatic Biodiversity (NRF-SAIAB) is a national facility of the National Research Foundation (NRF). The NRF-SAIAB contributes to two National Operation Phakisa Labs through which South Africa has identified the potential to develop the Biodiversity Economy and the Blue Economy.', 'image_url': '2025-09-11-081630.579961SouthAfricanInstituteforAquaticBiodiversitylogo.svg.png', 'created': '2025-09-11T08:16:30.612011', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[31.115365, -29.803761], [31.185535, -29.803761], [31.185535, -29.748017], [31.115365, -29.748017], [31.115365, -29.803761]]]}', 'state': 'active', 'title': 'Bathymetry data collected from Mobile Epibenthic Invertebrate Stations, November 2022', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'T.Wanda@saiab.nrf.ac.za', 'individual_name': 'Thamsanqa Wanda', 'position_name': 'Geologist', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2023-01-27T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'http://doi.org/10.15493/NRF.SAIAB.20232516', 'name': 'bathymetry_data_collected_from_mobile_epibenthic_invertebrate_stations_november_2022'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-09-11T14:22:17.751814', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': 'f6492885-e526-4883-ba79-61a161dc0806', 'last_modified': None, 'metadata_modified': '2025-09-12T08:29:23.519836', 'mimetype': None, 'mimetype_inner': None, 'name': 'Bathymetry data collected from Mobile Epibenthic Invertebrate Stations, November 2022', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'position': 0, 'resource_type': None, 'size': None, 'state': 'active', 'url': 'https://catalogue.saeon.ac.za/list/records/10.15493/NRF.SAIAB.20232516?search=68c2b42da71d058a420b0236&disableSidebar=false&showSearchBar=true', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'South African Institute for Aquatic Biodiversity ', 'position_name': 'SAIAB', 'role': 'owner', 'website': 'https://nrfsaiab.wixsite.com/gemapocean'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': 'Makhanda', 'delivery_point': 'Somerset Street', 'postal_code': '6139'}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Oceans', 'id': '2547e672-a968-4048-814b-29a682525254', 'name': 'Oceans', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'SGB systems', 'id': 'e90bd4d4-da24-418e-a5b1-f9d0cf063793', 'name': 'SGB systems', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'bathymetry', 'id': '84d64091-149a-4cd4-bf97-f828e908fe76', 'name': 'bathymetry', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'hydrographic', 'id': '903bf930-556a-402c-a784-3c57de8bc65b', 'name': 'hydrographic', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'multibeam bathymetry', 'id': '1fe9236d-3571-4fe0-9305-f1b40579e991', 'name': 'multibeam bathymetry', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'reson', 'id': '4ff1fff4-deb9-4256-a9c0-f03802b2d0e7', 'name': 'reson', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'oceans'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []} |
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This multi-disciplinary study will begin at the start of implementation of two new MPAs (uThukela MPA and Protea Banks MPA, both proclaimed in 2019), and will generate the relevant data needed to underpin an evidence-based approach to adaptive management of the MPAs, within a “SMART” framework. This framework defines specific objectives for the different MPA zones; develops measurable indicators of success for each zone; sets achievable goals given the limited resources available for planning and management; ensures that the research findings are relevant (to both biodiversity and human stakeholders). This is a rare time-sensitive opportunity to conduct baseline surveys of the geology, benthic biodiversity (sessile and mobile species), reef-associated ichthyoplankton and mero-zooplankton and fish communities of mesophotic (40-150m) soft-coral and sponge-dominated reefs and submarine habitats located in three different management zones at the initiation of management of two brand new MPAs, against which long-term monitoring data can be compared to assess the effectiveness of the MPAs in achieving their objectives. The balanced sampling design is such that it will also initiate a “natural experiment” that over time will investigate the effect of no-take zones on fish diversity and abundance, benthic community structure, and trophic complexity. This will also enable the determination of the value of the MPA for fisheries sustainability support and resilience to disturbances caused by extrinsic factors such as pollution or climate change. Additionally, this study will assess whether the zonation plan provides for representation of all reef and canyon types within each zone or if there is unbalanced coverage for certain reefs and in certain zones. This is important to assess at the initiation of the MPA, especially to ensure that the interpretation of monitoring results in future, which compare ecosystems and fish on reefs and canyons in the mesophotic zone, are not flawed by natural differences from the outset due to the selection of zone boundaries.", 'num_resources': 1, 'num_tags': 2, 'organization': {'id': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'title': 'NRF-SAIAB', 'type': 'organization', 'description': 'The South African Institute for Aquatic Biodiversity (NRF-SAIAB) is a national facility of the National Research Foundation (NRF). 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This multi-disciplinary study will begin at the start of the implementation of two new MPAs (uThukela MPA and Protea Banks MPA, both proclaimed in 2019), and will generate the relevant data needed to underpin an evidence-based approach to adaptive management of the MPAs, within a “SMART” framework. This framework defines specific objectives for the different MPA zones; develops measurable indicators of success for each zone; sets achievable goals given the limited resources available for planning and management; ensures that the research findings are relevant (to both biodiversity and human stakeholders). This is a rare time-sensitive opportunity to conduct baseline surveys of the geology, benthic biodiversity (sessile and mobile species), reef-associated ichthyoplankton and mero-zooplankton and fish communities of mesophotic (40-150m) soft-coral and sponge-dominated reefs and submarine habitats located in three different management zones at the initiation of management of two brand new MPAs, against which long-term monitoring data can be compared to assess the effectiveness of the MPAs in achieving their objectives. The balanced sampling design is such that it will also initiate a “natural experiment” that over time will investigate the effect of no-take zones on fish diversity and abundance, benthic community structure, and trophic complexity. This will also enable the determination of the value of the MPA for fisheries sustainability support and resilience to disturbances caused by extrinsic factors such as pollution or climate change. Additionally, this study will assess whether the zonation plan provides for representation of all reef and canyon types within each zone or if there is unbalanced coverage for certain reefs and in certain zones. This is important to assess at the initiation of the MPA, especially to ensure that the interpretation of monitoring results in future, which compare ecosystems and fish on reefs and canyons in the mesophotic zone, are not flawed by natural differences from the outset due to the selection of zone boundaries.", 'num_resources': 1, 'num_tags': 2, 'organization': {'id': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'title': 'NRF-SAIAB', 'type': 'organization', 'description': 'The South African Institute for Aquatic Biodiversity (NRF-SAIAB) is a national facility of the National Research Foundation (NRF). 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| packages | [{'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/SARVA.BEEH.10000179', 'featured': 'false', 'id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'Papaya, or pawpaw (Carica papaya) is a tropical fruit grown widely between latitudes 32 degree N and S. High in Vitamin C, papaya is indigenous to tropical America (ARC, 2005). This fruit, initially brought to the attention of Europe around 1520, was introduced to South Africa in seed form by Jan van Riebeeck in 1652, but only grown commercially in the Lowveld of Mpumalanga for the first time in the early 20th century by a Captain Elphick (ARC, 2005). Papaya needs relatively little water in the rainy summer season in South Africa, but if irrigated every 2 weeks in the dry season it is well adapted to hot, dry areas as the fruit then matures early and is then highly palatable owing to its high sugar content (Smith, 1998). Papaya has high heat requirements, with average daily temperatures for optimum growth between 20 and 30 degree Celsius. Determination of climatically optimum growth areas for Papaya in South Africa is based on the expert knowledge of Bower (2005) and Moll (2005), climatically optimum growth areas were determined according to the four basic criteria: Criterion 1: Heat units (base 12 degree Celsius) should exceed 2 000 days per annum, Criterion 2: Optimum areas should have a low frequency of 4 consecutive days with maximum temperatures > 36 degree Celsius, Criterion 3: Monthly means of daily average temperatures in December and January should be 23 degree Celsius - 30 degree Celsius and Criterion 4: Optimum growth areas should have a low frequency of 4 consecutive days with minimum temperatures < 17 degree Celsius. Using the 50 year time series of quality controlled daily maximum and minimum temperatures generated by Schulze and Maharaj (2004) at a spatial resolution of 1 arc minute (i.e. 1` x 1` of a degree latitude/longitude), the above four temperature based criteria were first mapped individually and then superimposed to determine the climatically optimum growth areas of papaya in South Africa.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T11:08:39.531145', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T11:11:28.922543', 'metadata_thumbnail': '', 'name': 'climatically_optimum_growth_areas_papaya_composite_of_all_criteria', 'notes': 'Papaya, or pawpaw (Carica papaya) is a tropical fruit grown widely between latitudes 32 degree N and S. High in Vitamin C, papaya is indigenous to tropical America (ARC, 2005). This fruit, initially brought to the attention of Europe around 1520, was introduced to South Africa in seed form by Jan van Riebeeck in 1652, but only grown commercially in the Lowveld of Mpumalanga for the first time in the early 20th century by a Captain Elphick (ARC, 2005). Papaya needs relatively little water in the rainy summer season in South Africa, but if irrigated every 2 weeks in the dry season it is well adapted to hot, dry areas as the fruit then matures early and is then highly palatable owing to its high sugar content (Smith, 1998). Papaya has high heat requirements, with average daily temperatures for optimum growth between 20 and 30 degree Celsius. Determination of climatically optimum growth areas for Papaya in South Africa is based on the expert knowledge of Bower (2005) and Moll (2005), climatically optimum growth areas were determined according to the four basic criteria: Criterion 1: Heat units (base 12 degree Celsius) should exceed 2 000 days per annum, Criterion 2: Optimum areas should have a low frequency of 4 consecutive days with maximum temperatures > 36 degree Celsius, Criterion 3: Monthly means of daily average temperatures in December and January should be 23 degree Celsius - 30 degree Celsius and Criterion 4: Optimum growth areas should have a low frequency of 4 consecutive days with minimum temperatures < 17 degree Celsius. Using the 50 year time series of quality controlled daily maximum and minimum temperatures generated by Schulze and Maharaj (2004) at a spatial resolution of 1 arc minute (i.e. 1` x 1` of a degree latitude/longitude), the above four temperature based criteria were first mapped individually and then superimposed to determine the climatically optimum growth areas of papaya in South Africa.', 'num_resources': 1, 'num_tags': 11, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.458333, -34.841667], [32.908333, -34.841667], [32.908333, -22.141667], [16.458333, -22.141667], [16.458333, -34.841667]]]}', 'state': 'active', 'title': 'Climatically Optimum Growth Areas Papaya Composite Of All Criteria', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'SAEON', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2007-01-01T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'https://catalogue.saeon.ac.za/records/10.15493/SARVA.BEEH.10000179', 'name': 'Climatically Optimum Growth Areas Papaya Composite Of All Criteria'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-17T11:09:12.315516', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': '7e81d0b1-3193-41ab-bc15-c5cc65df8b56', 'last_modified': None, 'metadata_modified': '2025-10-17T11:09:12.305341', 'mimetype': None, 'mimetype_inner': None, 'name': 'Climatically Optimum Growth Areas Papaya Composite Of All Criteria', 'package_id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://repository.saeon.ac.za/index.php/s/2yTF8TY7xDMA8fH?opendetails=', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'R.E. 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| page | Page: Collection type: <class 'list'> (Current) page: 1 First item: 1 Last item: 20 First page: 1 Last page: 2 Previous page: None Next page: 2 Items per page: 20 Number of items: 28 Number of pages: 2 |
| q | '' |
| query_error | False |
| remove_field | functools.partial(<function remove_field at 0x7fd0727a2040>, 'dataset') |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?organization=south-african-institute-for-aquatic-biodiversity-saiab&tags=acacia+mearnsii&tags=potential&tags=growth+areas&tags=marine+environment+monitoring&tags=soil+moisture' [GET]> |
| search_facets | {'organization': {'title': 'organization', 'items': [{'name': 'test', 'display_name': 'SANSA Catalogue Satellite Scenes', 'count': 7}, {'name': 'sansa', 'display_name': 'SANSA', 'count': 37}, {'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'display_name': 'NRF-SAIAB', 'count': 16}, {'name': 'saeon', 'display_name': 'NRF-SAEON', 'count': 19}, {'name': 'municipal-demarcation-board', 'display_name': 'MDB', 'count': 3}, {'name': 'dffe', 'display_name': 'DFFE', 'count': 9}]}, 'groups': {'title': 'groups', 'items': []}, 'tags': {'title': 'tags', 'items': [{'name': 'yield estimation', 'display_name': 'yield estimation', 'count': 3}, {'name': 'water and land sustainability', 'display_name': 'water and land sustainability', 'count': 5}, {'name': 'soil moisture', 'display_name': 'soil moisture', 'count': 3}, {'name': 'reson', 'display_name': 'reson', 'count': 4}, {'name': 'residue', 'display_name': 'residue', 'count': 2}, {'name': 'potential', 'display_name': 'potential', 'count': 2}, {'name': 'pinus taeda', 'display_name': 'pinus taeda', 'count': 2}, {'name': 'multibeam bathymetry', 'display_name': 'multibeam bathymetry', 'count': 7}, {'name': 'mesozones', 'display_name': 'mesozones', 'count': 3}, {'name': 'mean annual temperature', 'display_name': 'mean annual temperature', 'count': 2}, {'name': 'mean annual precipitation', 'display_name': 'mean annual precipitation', 'count': 2}, {'name': 'marine environment monitoring', 'display_name': 'marine environment monitoring', 'count': 2}, {'name': 'land use', 'display_name': 'land use', 'count': 3}, {'name': 'land cover', 'display_name': 'land cover', 'count': 3}, {'name': 'hydrographic', 'display_name': 'hydrographic', 'count': 7}, {'name': 'growth areas', 'display_name': 'growth areas', 'count': 6}, {'name': 'general', 'display_name': 'general', 'count': 7}, {'name': 'biomass', 'display_name': 'biomass', 'count': 6}, {'name': 'bathymetry', 'display_name': 'bathymetry', 'count': 13}, {'name': 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'count': 1}, {'name': 'Boundaries', 'display_name': 'Boundaries', 'count': 3}, {'name': 'Biophysical variables', 'display_name': 'Biophysical variables', 'count': 1}, {'name': 'Bioenergy', 'display_name': 'Bioenergy', 'count': 3}, {'name': 'Agriculture', 'display_name': 'Agriculture', 'count': 5}, {'name': 'Acacia mearnsii', 'display_name': 'Acacia mearnsii', 'count': 1}]}, 'res_format': {'title': 'res_format', 'items': [{'name': 'url', 'display_name': 'url', 'count': 1}, {'name': 'SHP', 'display_name': 'SHP', 'count': 3}, {'name': 'PDF', 'display_name': 'PDF', 'count': 9}, {'name': 'JSON', 'display_name': 'JSON', 'count': 7}, {'name': 'Geo-Tiff', 'display_name': 'Geo-Tiff', 'count': 1}, {'name': 'GEOMAP', 'display_name': 'GEOMAP', 'count': 6}, {'name': '/', 'display_name': '/', 'count': 2}, {'name': '.geotiff', 'display_name': '.geotiff', 'count': 1}, {'name': '.geoTIFF', 'display_name': '.geoTIFF', 'count': 1}]}, 'license_id': {'title': 'license_id', 'items': []}, 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| search_url_params | 'organization=south-african-institute-for-aquatic-biodiversity-saiab&tags=acacia+mearnsii&tags=potential&tags=growth+areas&tags=marine+environment+monitoring&tags=soil+moisture' |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.432494, '_creation_time': 1793468851.432494} |
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| sort_by_fields | [] |
| sort_by_selected | 'score desc, metadata_modified desc' |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| name | 'featured' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Commercial+forestry&tags=Imagery-Basemaps-Earth+Cover&tags=reson&tags=mean+annual+precipitation&organization=sansa&tags=Socio-economic' [GET]> |
| search_facets | {'organization': {'title': 'organization', 'items': [{'name': 'test', 'display_name': 'SANSA Catalogue Satellite Scenes', 'count': 7}, {'name': 'sansa', 'display_name': 'SANSA', 'count': 37}, {'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'display_name': 'NRF-SAIAB', 'count': 16}, {'name': 'saeon', 'display_name': 'NRF-SAEON', 'count': 19}, {'name': 'municipal-demarcation-board', 'display_name': 'MDB', 'count': 3}, {'name': 'dffe', 'display_name': 'DFFE', 'count': 9}]}, 'groups': {'title': 'groups', 'items': []}, 'tags': {'title': 'tags', 'items': [{'name': 'yield estimation', 'display_name': 'yield estimation', 'count': 3}, {'name': 'water and land sustainability', 'display_name': 'water and land sustainability', 'count': 5}, {'name': 'soil moisture', 'display_name': 'soil moisture', 'count': 3}, {'name': 'reson', 'display_name': 'reson', 'count': 4}, {'name': 'residue', 'display_name': 'residue', 'count': 2}, {'name': 'potential', 'display_name': 'potential', 'count': 2}, {'name': 'pinus taeda', 'display_name': 'pinus taeda', 'count': 2}, {'name': 'multibeam bathymetry', 'display_name': 'multibeam bathymetry', 'count': 7}, {'name': 'mesozones', 'display_name': 'mesozones', 'count': 3}, {'name': 'mean annual temperature', 'display_name': 'mean annual temperature', 'count': 2}, {'name': 'mean annual precipitation', 'display_name': 'mean annual precipitation', 'count': 2}, {'name': 'marine environment monitoring', 'display_name': 'marine environment monitoring', 'count': 2}, {'name': 'land use', 'display_name': 'land use', 'count': 3}, {'name': 'land cover', 'display_name': 'land cover', 'count': 3}, {'name': 'hydrographic', 'display_name': 'hydrographic', 'count': 7}, {'name': 'growth areas', 'display_name': 'growth areas', 'count': 6}, {'name': 'general', 'display_name': 'general', 'count': 7}, {'name': 'biomass', 'display_name': 'biomass', 'count': 6}, {'name': 'bathymetry', 'display_name': 'bathymetry', 'count': 13}, {'name': 'agriculture', 'display_name': 'agriculture', 'count': 8}, {'name': 'acacia mearnsii', 'display_name': 'acacia mearnsii', 'count': 1}, {'name': 'aboveground woody biomass', 'display_name': 'aboveground woody biomass', 'count': 1}, {'name': 'Socio-economic', 'display_name': 'Socio-economic', 'count': 2}, {'name': 'Settlement', 'display_name': 'Settlement', 'count': 2}, {'name': 'SPOT4', 'display_name': 'SPOT4', 'count': 2}, {'name': 'SPOT', 'display_name': 'SPOT', 'count': 1}, {'name': 'SGB systems', 'display_name': 'SGB systems', 'count': 7}, {'name': 'Optimum growth area', 'display_name': 'Optimum growth area', 'count': 5}, {'name': 'Oceans', 'display_name': 'Oceans', 'count': 17}, {'name': 'Municipalities', 'display_name': 'Municipalities', 'count': 1}, {'name': 'Images', 'display_name': 'Images', 'count': 2}, {'name': 'Imagery-Basemaps-Earth Cover', 'display_name': 'Imagery-Basemaps-Earth Cover', 'count': 38}, {'name': 'Hazards and vulnerability', 'display_name': 'Hazards and vulnerability', 'count': 1}, {'name': 'Forestry distribution', 'display_name': 'Forestry distribution', 'count': 4}, {'name': 'Farming', 'display_name': 'Farming', 'count': 3}, {'name': 'Environment', 'display_name': 'Environment', 'count': 9}, {'name': 'Energy', 'display_name': 'Energy', 'count': 2}, {'name': 'Economic vulnerability', 'display_name': 'Economic vulnerability', 'count': 1}, {'name': 'Demography', 'display_name': 'Demography', 'count': 1}, {'name': 'Commercial forestry', 'display_name': 'Commercial forestry', 'count': 5}, {'name': 'Commercial cropping system', 'display_name': 'Commercial cropping system', 'count': 1}, {'name': 'Commercial crop system', 'display_name': 'Commercial crop system', 'count': 2}, {'name': 'Commercial Crop Systems', 'display_name': 'Commercial Crop Systems', 'count': 2}, {'name': 'Climatology-Meteorology-Atmosphere', 'display_name': 'Climatology-Meteorology-Atmosphere', 'count': 2}, {'name': 'Climate science', 'display_name': 'Climate science', 'count': 1}, {'name': 'Boundaries', 'display_name': 'Boundaries', 'count': 3}, {'name': 'Biophysical variables', 'display_name': 'Biophysical variables', 'count': 1}, {'name': 'Bioenergy', 'display_name': 'Bioenergy', 'count': 3}, {'name': 'Agriculture', 'display_name': 'Agriculture', 'count': 5}, {'name': 'Acacia mearnsii', 'display_name': 'Acacia mearnsii', 'count': 1}]}, 'res_format': {'title': 'res_format', 'items': [{'name': 'url', 'display_name': 'url', 'count': 1}, {'name': 'SHP', 'display_name': 'SHP', 'count': 3}, {'name': 'PDF', 'display_name': 'PDF', 'count': 9}, {'name': 'JSON', 'display_name': 'JSON', 'count': 7}, {'name': 'Geo-Tiff', 'display_name': 'Geo-Tiff', 'count': 1}, {'name': 'GEOMAP', 'display_name': 'GEOMAP', 'count': 6}, {'name': '/', 'display_name': '/', 'count': 2}, {'name': '.geotiff', 'display_name': '.geotiff', 'count': 1}, {'name': '.geoTIFF', 'display_name': '.geoTIFF', 'count': 1}]}, 'license_id': {'title': 'license_id', 'items': []}, 'harvest_source_title': {'title': 'harvest_source_title', 'items': []}, 'featured': {'title': 'featured', 'items': [{'name': 'true', 'display_name': 'true', 'count': 7}, {'name': 'false', 'display_name': 'false', 'count': 84}]}, 'topic_and_saeoss_themes': {'title': 'topic_and_saeoss_themes', 'items': [{'name': "{'iso_topic_category': 'oceans'}", 'display_name': "{'iso_topic_category': 'oceans'}", 'count': 17}, {'name': "{'iso_topic_category': 'imageryBaseMapsEarthCover'}", 'display_name': "{'iso_topic_category': 'imageryBaseMapsEarthCover'}", 'count': 38}, {'name': "{'iso_topic_category': 'farming'}", 'display_name': "{'iso_topic_category': 'farming'}", 'count': 3}, {'name': "{'iso_topic_category': 'environment'}", 'display_name': "{'iso_topic_category': 'environment'}", 'count': 9}, {'name': "{'iso_topic_category': 'climatologyMeteorologyAtmosphere'}", 'display_name': "{'iso_topic_category': 'climatologyMeteorologyAtmosphere'}", 'count': 2}, {'name': "{'iso_topic_category': 'boundaries'}", 'display_name': "{'iso_topic_category': 'boundaries'}", 'count': 3}, {'name': "{'iso_topic_category': ''}", 'display_name': "{'iso_topic_category': ''}", 'count': 12}]}} |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.4954932, '_creation_time': 1793468851.4954932} |
| title | 'Featured Metadata records' |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| name | 'topic_and_saeoss_themes' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Commercial+forestry&tags=Imagery-Basemaps-Earth+Cover&tags=reson&tags=mean+annual+precipitation&organization=sansa&tags=Socio-economic' [GET]> |
| search_facets | {'organization': {'title': 'organization', 'items': [{'name': 'test', 'display_name': 'SANSA Catalogue Satellite Scenes', 'count': 7}, {'name': 'sansa', 'display_name': 'SANSA', 'count': 37}, {'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'display_name': 'NRF-SAIAB', 'count': 16}, {'name': 'saeon', 'display_name': 'NRF-SAEON', 'count': 19}, {'name': 'municipal-demarcation-board', 'display_name': 'MDB', 'count': 3}, {'name': 'dffe', 'display_name': 'DFFE', 'count': 9}]}, 'groups': {'title': 'groups', 'items': []}, 'tags': {'title': 'tags', 'items': [{'name': 'yield estimation', 'display_name': 'yield estimation', 'count': 3}, {'name': 'water and land sustainability', 'display_name': 'water and land sustainability', 'count': 5}, {'name': 'soil moisture', 'display_name': 'soil moisture', 'count': 3}, {'name': 'reson', 'display_name': 'reson', 'count': 4}, {'name': 'residue', 'display_name': 'residue', 'count': 2}, {'name': 'potential', 'display_name': 'potential', 'count': 2}, {'name': 'pinus taeda', 'display_name': 'pinus taeda', 'count': 2}, {'name': 'multibeam bathymetry', 'display_name': 'multibeam bathymetry', 'count': 7}, {'name': 'mesozones', 'display_name': 'mesozones', 'count': 3}, {'name': 'mean annual temperature', 'display_name': 'mean annual temperature', 'count': 2}, {'name': 'mean annual precipitation', 'display_name': 'mean annual precipitation', 'count': 2}, {'name': 'marine environment monitoring', 'display_name': 'marine environment monitoring', 'count': 2}, {'name': 'land use', 'display_name': 'land use', 'count': 3}, {'name': 'land cover', 'display_name': 'land cover', 'count': 3}, {'name': 'hydrographic', 'display_name': 'hydrographic', 'count': 7}, {'name': 'growth areas', 'display_name': 'growth areas', 'count': 6}, {'name': 'general', 'display_name': 'general', 'count': 7}, {'name': 'biomass', 'display_name': 'biomass', 'count': 6}, {'name': 'bathymetry', 'display_name': 'bathymetry', 'count': 13}, {'name': 'agriculture', 'display_name': 'agriculture', 'count': 8}, {'name': 'acacia mearnsii', 'display_name': 'acacia mearnsii', 'count': 1}, {'name': 'aboveground woody biomass', 'display_name': 'aboveground woody biomass', 'count': 1}, {'name': 'Socio-economic', 'display_name': 'Socio-economic', 'count': 2}, {'name': 'Settlement', 'display_name': 'Settlement', 'count': 2}, {'name': 'SPOT4', 'display_name': 'SPOT4', 'count': 2}, {'name': 'SPOT', 'display_name': 'SPOT', 'count': 1}, {'name': 'SGB systems', 'display_name': 'SGB systems', 'count': 7}, {'name': 'Optimum growth area', 'display_name': 'Optimum growth area', 'count': 5}, {'name': 'Oceans', 'display_name': 'Oceans', 'count': 17}, {'name': 'Municipalities', 'display_name': 'Municipalities', 'count': 1}, {'name': 'Images', 'display_name': 'Images', 'count': 2}, {'name': 'Imagery-Basemaps-Earth Cover', 'display_name': 'Imagery-Basemaps-Earth Cover', 'count': 38}, {'name': 'Hazards and vulnerability', 'display_name': 'Hazards and vulnerability', 'count': 1}, {'name': 'Forestry distribution', 'display_name': 'Forestry distribution', 'count': 4}, {'name': 'Farming', 'display_name': 'Farming', 'count': 3}, {'name': 'Environment', 'display_name': 'Environment', 'count': 9}, {'name': 'Energy', 'display_name': 'Energy', 'count': 2}, {'name': 'Economic vulnerability', 'display_name': 'Economic vulnerability', 'count': 1}, {'name': 'Demography', 'display_name': 'Demography', 'count': 1}, {'name': 'Commercial forestry', 'display_name': 'Commercial forestry', 'count': 5}, {'name': 'Commercial cropping system', 'display_name': 'Commercial cropping system', 'count': 1}, {'name': 'Commercial crop system', 'display_name': 'Commercial crop system', 'count': 2}, {'name': 'Commercial Crop Systems', 'display_name': 'Commercial Crop Systems', 'count': 2}, {'name': 'Climatology-Meteorology-Atmosphere', 'display_name': 'Climatology-Meteorology-Atmosphere', 'count': 2}, {'name': 'Climate science', 'display_name': 'Climate science', 'count': 1}, {'name': 'Boundaries', 'display_name': 'Boundaries', 'count': 3}, {'name': 'Biophysical variables', 'display_name': 'Biophysical variables', 'count': 1}, {'name': 'Bioenergy', 'display_name': 'Bioenergy', 'count': 3}, {'name': 'Agriculture', 'display_name': 'Agriculture', 'count': 5}, {'name': 'Acacia mearnsii', 'display_name': 'Acacia mearnsii', 'count': 1}]}, 'res_format': {'title': 'res_format', 'items': [{'name': 'url', 'display_name': 'url', 'count': 1}, {'name': 'SHP', 'display_name': 'SHP', 'count': 3}, {'name': 'PDF', 'display_name': 'PDF', 'count': 9}, {'name': 'JSON', 'display_name': 'JSON', 'count': 7}, {'name': 'Geo-Tiff', 'display_name': 'Geo-Tiff', 'count': 1}, {'name': 'GEOMAP', 'display_name': 'GEOMAP', 'count': 6}, {'name': '/', 'display_name': '/', 'count': 2}, {'name': '.geotiff', 'display_name': '.geotiff', 'count': 1}, {'name': '.geoTIFF', 'display_name': '.geoTIFF', 'count': 1}]}, 'license_id': {'title': 'license_id', 'items': []}, 'harvest_source_title': {'title': 'harvest_source_title', 'items': []}, 'featured': {'title': 'featured', 'items': [{'name': 'true', 'display_name': 'true', 'count': 7}, {'name': 'false', 'display_name': 'false', 'count': 84}]}, 'topic_and_saeoss_themes': {'title': 'topic_and_saeoss_themes', 'items': [{'name': "{'iso_topic_category': 'oceans'}", 'display_name': "{'iso_topic_category': 'oceans'}", 'count': 17}, {'name': "{'iso_topic_category': 'imageryBaseMapsEarthCover'}", 'display_name': "{'iso_topic_category': 'imageryBaseMapsEarthCover'}", 'count': 38}, {'name': "{'iso_topic_category': 'farming'}", 'display_name': "{'iso_topic_category': 'farming'}", 'count': 3}, {'name': "{'iso_topic_category': 'environment'}", 'display_name': "{'iso_topic_category': 'environment'}", 'count': 9}, {'name': "{'iso_topic_category': 'climatologyMeteorologyAtmosphere'}", 'display_name': "{'iso_topic_category': 'climatologyMeteorologyAtmosphere'}", 'count': 2}, {'name': "{'iso_topic_category': 'boundaries'}", 'display_name': "{'iso_topic_category': 'boundaries'}", 'count': 3}, {'name': "{'iso_topic_category': ''}", 'display_name': "{'iso_topic_category': ''}", 'count': 12}]}} |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.4954932, '_creation_time': 1793468851.4954932} |
| title | 'Topic Category' |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| name | 'tags' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Commercial+forestry&tags=Imagery-Basemaps-Earth+Cover&tags=reson&tags=mean+annual+precipitation&organization=sansa&tags=Socio-economic' [GET]> |
| search_facets | {'organization': {'title': 'organization', 'items': [{'name': 'test', 'display_name': 'SANSA Catalogue Satellite Scenes', 'count': 7}, {'name': 'sansa', 'display_name': 'SANSA', 'count': 37}, {'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'display_name': 'NRF-SAIAB', 'count': 16}, {'name': 'saeon', 'display_name': 'NRF-SAEON', 'count': 19}, {'name': 'municipal-demarcation-board', 'display_name': 'MDB', 'count': 3}, {'name': 'dffe', 'display_name': 'DFFE', 'count': 9}]}, 'groups': {'title': 'groups', 'items': []}, 'tags': {'title': 'tags', 'items': [{'name': 'yield estimation', 'display_name': 'yield estimation', 'count': 3}, {'name': 'water and land sustainability', 'display_name': 'water and land sustainability', 'count': 5}, {'name': 'soil moisture', 'display_name': 'soil moisture', 'count': 3}, {'name': 'reson', 'display_name': 'reson', 'count': 4}, {'name': 'residue', 'display_name': 'residue', 'count': 2}, {'name': 'potential', 'display_name': 'potential', 'count': 2}, {'name': 'pinus taeda', 'display_name': 'pinus taeda', 'count': 2}, {'name': 'multibeam bathymetry', 'display_name': 'multibeam bathymetry', 'count': 7}, {'name': 'mesozones', 'display_name': 'mesozones', 'count': 3}, {'name': 'mean annual temperature', 'display_name': 'mean annual temperature', 'count': 2}, {'name': 'mean annual precipitation', 'display_name': 'mean annual precipitation', 'count': 2}, {'name': 'marine environment monitoring', 'display_name': 'marine environment monitoring', 'count': 2}, {'name': 'land use', 'display_name': 'land use', 'count': 3}, {'name': 'land cover', 'display_name': 'land cover', 'count': 3}, {'name': 'hydrographic', 'display_name': 'hydrographic', 'count': 7}, {'name': 'growth areas', 'display_name': 'growth areas', 'count': 6}, {'name': 'general', 'display_name': 'general', 'count': 7}, {'name': 'biomass', 'display_name': 'biomass', 'count': 6}, {'name': 'bathymetry', 'display_name': 'bathymetry', 'count': 13}, {'name': 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vulnerability', 'count': 1}, {'name': 'Forestry distribution', 'display_name': 'Forestry distribution', 'count': 4}, {'name': 'Farming', 'display_name': 'Farming', 'count': 3}, {'name': 'Environment', 'display_name': 'Environment', 'count': 9}, {'name': 'Energy', 'display_name': 'Energy', 'count': 2}, {'name': 'Economic vulnerability', 'display_name': 'Economic vulnerability', 'count': 1}, {'name': 'Demography', 'display_name': 'Demography', 'count': 1}, {'name': 'Commercial forestry', 'display_name': 'Commercial forestry', 'count': 5}, {'name': 'Commercial cropping system', 'display_name': 'Commercial cropping system', 'count': 1}, {'name': 'Commercial crop system', 'display_name': 'Commercial crop system', 'count': 2}, {'name': 'Commercial Crop Systems', 'display_name': 'Commercial Crop Systems', 'count': 2}, {'name': 'Climatology-Meteorology-Atmosphere', 'display_name': 'Climatology-Meteorology-Atmosphere', 'count': 2}, {'name': 'Climate science', 'display_name': 'Climate science', 'count': 1}, {'name': 'Boundaries', 'display_name': 'Boundaries', 'count': 3}, {'name': 'Biophysical variables', 'display_name': 'Biophysical variables', 'count': 1}, {'name': 'Bioenergy', 'display_name': 'Bioenergy', 'count': 3}, {'name': 'Agriculture', 'display_name': 'Agriculture', 'count': 5}, {'name': 'Acacia mearnsii', 'display_name': 'Acacia mearnsii', 'count': 1}]}, 'res_format': {'title': 'res_format', 'items': [{'name': 'url', 'display_name': 'url', 'count': 1}, {'name': 'SHP', 'display_name': 'SHP', 'count': 3}, {'name': 'PDF', 'display_name': 'PDF', 'count': 9}, {'name': 'JSON', 'display_name': 'JSON', 'count': 7}, {'name': 'Geo-Tiff', 'display_name': 'Geo-Tiff', 'count': 1}, {'name': 'GEOMAP', 'display_name': 'GEOMAP', 'count': 6}, {'name': '/', 'display_name': '/', 'count': 2}, {'name': '.geotiff', 'display_name': '.geotiff', 'count': 1}, {'name': '.geoTIFF', 'display_name': '.geoTIFF', 'count': 1}]}, 'license_id': {'title': 'license_id', 'items': []}, 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'boundaries'}", 'display_name': "{'iso_topic_category': 'boundaries'}", 'count': 3}, {'name': "{'iso_topic_category': ''}", 'display_name': "{'iso_topic_category': ''}", 'count': 12}]}} |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.4954932, '_creation_time': 1793468851.4954932} |
| title | 'Tags' |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| count | 57 |
| error | False |
| facets | Undefined |
| fields | [('tags', 'Commercial forestry'), ('tags', 'Imagery-Basemaps-Earth Cover'), ('tags', 'reson'), ('tags', 'mean annual precipitation'), ('tags', 'Socio-economic'), ('organization', 'sansa')] |
| form_id | 'dataset-search-form' |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| placeholder | Markup('Search metadata records..') |
| query | '' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Commercial+forestry&tags=Imagery-Basemaps-Earth+Cover&tags=reson&tags=mean+annual+precipitation&organization=sansa&tags=Socio-economic' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.4954932, '_creation_time': 1793468851.4954932} |
| show_empty | Undefined |
| sorting_selected | 'score desc, metadata_modified desc' |
| type | 'dataset' |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| map_config | {} |
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| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.4954932, '_creation_time': 1793468851.4954932} |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
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| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Commercial+forestry&tags=Imagery-Basemaps-Earth+Cover&tags=reson&tags=mean+annual+precipitation&organization=sansa&tags=Socio-economic' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.4954932, '_creation_time': 1793468851.4954932} |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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'get_common_map_config_wmts': <function get_common_map_config at 0x7fd072868670>, 'get_common_map_config_geojson': <function get_common_map_config at 0x7fd072868670>, 'geojson_get_max_file_size': <function get_max_file_size at 0x7fd072868790>, 'get_common_map_config_geoviews': <function get_common_map_config at 0x7fd072868670>, 'get_openlayers_viewer_config': <function get_openlayers_viewer_config at 0x7fd072868820>, 'get_reference_date': <function get_reference_date at 0x7fd068875af0>, 'get_responsible_party': <function get_responsible_party at 0x7fd068875b80>, 'get_common_map_config': <function get_common_map_config at 0x7fd068875c10>, 'package_list_for_source': <function package_list_for_source at 0x7fd068875e50>, 'package_count_for_source': <function package_count_for_source at 0x7fd068875ee0>, 'harvesters_info': <function harvesters_info at 0x7fd068875f70>, 'harvester_types': <function harvester_types at 0x7fd068869040>, 'harvest_frequencies': <function harvest_frequencies at 0x7fd0688690d0>, 'link_for_harvest_object': <function link_for_harvest_object at 0x7fd068869160>, 'harvest_source_extra_fields': <function harvest_source_extra_fields at 0x7fd0688691f0>, 'bootstrap_version': <function bootstrap_version at 0x7fd068869280>, 'get_harvest_source': <function get_harvest_source at 0x7fd068875dc0>, 'get_map_config': <function get_mapview_config at 0x7fd08d0cd550>, 'get_dataproxy_url': <function get_dataproxy_url at 0x7fd08d0cd5e0>} |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Commercial+forestry&tags=Imagery-Basemaps-Earth+Cover&tags=reson&tags=mean+annual+precipitation&organization=sansa&tags=Socio-economic' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.4954932, '_creation_time': 1793468851.4954932} |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
| h | {'redirect_to': <function redirect_to at 0x7fd08f2cfd30>, 'url': <function url at 0x7fd08f2cfe50>, 'get_site_protocol_and_host': <function get_site_protocol_and_host at 0x7fd08f2cfdc0>, 'url_for': <function url_for at 0x7fd08f2d3040>, 'url_for_static': <function url_for_static at 0x7fd08f2d31f0>, 'url_for_static_or_external': <function url_for_static_or_external at 0x7fd08f2d3280>, 'is_url': <function is_url at 0x7fd08f2d3310>, 'url_is_local': <function url_is_local at 0x7fd08f2d3430>, 'full_current_url': <function full_current_url at 0x7fd08f2d34c0>, 'current_url': <function current_url at 0x7fd08f2d3550>, 'lang': <function lang at 0x7fd08f2d35e0>, 'ckan_version': <function ckan_version at 0x7fd08f2d3670>, 'lang_native_name': <function lang_native_name at 0x7fd08f2d3700>, 'is_rtl_language': <function is_rtl_language at 0x7fd08f2d3790>, 'get_rtl_theme': <function get_rtl_theme at 0x7fd08f2d3820>, 'get_rtl_css': <function get_rtl_css at 0x7fd08f2d38b0>, 'flash_notice': <function flash_notice at 0x7fd08f2d3940>, 'flash_error': <function flash_error at 0x7fd08f2d3dc0>, 'flash_success': <function flash_success at 0x7fd08f2d3e50>, 'are_there_flash_messages': <function are_there_flash_messages at 0x7fd08f2d3ee0>, 'link_to': <function link_to at 0x7fd08f2543a0>, 'file': <function file at 0x7fd08f254430>, 'submit': <function submit at 0x7fd08f2544c0>, 'nav_link': <function nav_link at 0x7fd08f254550>, 'nav_named_link': <function nav_named_link at 0x7fd08f254820>, 'subnav_link': <function subnav_link at 0x7fd08f254940>, 'subnav_named_route': <function subnav_named_route at 0x7fd08f254a60>, 'build_nav_main': <function build_pages_nav_main at 0x7fd0727a9f70>, 'build_nav_icon': <function build_nav_icon at 0x7fd08f254af0>, 'build_nav': <function build_nav at 0x7fd08f254b80>, 'build_extra_admin_nav': <function build_extra_admin_nav at 0x7fd08f254ca0>, 'default_group_type': <function default_group_type at 0x7fd08f254dc0>, 'get_facet_items_dict': <function 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| name | 'organization' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Commercial+forestry&tags=Imagery-Basemaps-Earth+Cover&tags=reson&tags=mean+annual+precipitation&organization=sansa&tags=Socio-economic' [GET]> |
| search_facets | {'organization': {'title': 'organization', 'items': [{'name': 'test', 'display_name': 'SANSA Catalogue Satellite Scenes', 'count': 7}, {'name': 'sansa', 'display_name': 'SANSA', 'count': 37}, {'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'display_name': 'NRF-SAIAB', 'count': 16}, {'name': 'saeon', 'display_name': 'NRF-SAEON', 'count': 19}, {'name': 'municipal-demarcation-board', 'display_name': 'MDB', 'count': 3}, {'name': 'dffe', 'display_name': 'DFFE', 'count': 9}]}, 'groups': {'title': 'groups', 'items': []}, 'tags': {'title': 'tags', 'items': [{'name': 'yield estimation', 'display_name': 'yield estimation', 'count': 3}, {'name': 'water and land sustainability', 'display_name': 'water and land sustainability', 'count': 5}, {'name': 'soil moisture', 'display_name': 'soil moisture', 'count': 3}, {'name': 'reson', 'display_name': 'reson', 'count': 4}, {'name': 'residue', 'display_name': 'residue', 'count': 2}, {'name': 'potential', 'display_name': 'potential', 'count': 2}, {'name': 'pinus taeda', 'display_name': 'pinus taeda', 'count': 2}, {'name': 'multibeam bathymetry', 'display_name': 'multibeam bathymetry', 'count': 7}, {'name': 'mesozones', 'display_name': 'mesozones', 'count': 3}, {'name': 'mean annual temperature', 'display_name': 'mean annual temperature', 'count': 2}, {'name': 'mean annual precipitation', 'display_name': 'mean annual precipitation', 'count': 2}, {'name': 'marine environment monitoring', 'display_name': 'marine environment monitoring', 'count': 2}, {'name': 'land use', 'display_name': 'land use', 'count': 3}, {'name': 'land cover', 'display_name': 'land cover', 'count': 3}, {'name': 'hydrographic', 'display_name': 'hydrographic', 'count': 7}, {'name': 'growth areas', 'display_name': 'growth areas', 'count': 6}, {'name': 'general', 'display_name': 'general', 'count': 7}, {'name': 'biomass', 'display_name': 'biomass', 'count': 6}, {'name': 'bathymetry', 'display_name': 'bathymetry', 'count': 13}, {'name': 'agriculture', 'display_name': 'agriculture', 'count': 8}, {'name': 'acacia mearnsii', 'display_name': 'acacia mearnsii', 'count': 1}, {'name': 'aboveground woody biomass', 'display_name': 'aboveground woody biomass', 'count': 1}, {'name': 'Socio-economic', 'display_name': 'Socio-economic', 'count': 2}, {'name': 'Settlement', 'display_name': 'Settlement', 'count': 2}, {'name': 'SPOT4', 'display_name': 'SPOT4', 'count': 2}, {'name': 'SPOT', 'display_name': 'SPOT', 'count': 1}, {'name': 'SGB systems', 'display_name': 'SGB systems', 'count': 7}, {'name': 'Optimum growth area', 'display_name': 'Optimum growth area', 'count': 5}, {'name': 'Oceans', 'display_name': 'Oceans', 'count': 17}, {'name': 'Municipalities', 'display_name': 'Municipalities', 'count': 1}, {'name': 'Images', 'display_name': 'Images', 'count': 2}, {'name': 'Imagery-Basemaps-Earth Cover', 'display_name': 'Imagery-Basemaps-Earth Cover', 'count': 38}, {'name': 'Hazards and vulnerability', 'display_name': 'Hazards and vulnerability', 'count': 1}, {'name': 'Forestry distribution', 'display_name': 'Forestry distribution', 'count': 4}, {'name': 'Farming', 'display_name': 'Farming', 'count': 3}, {'name': 'Environment', 'display_name': 'Environment', 'count': 9}, {'name': 'Energy', 'display_name': 'Energy', 'count': 2}, {'name': 'Economic vulnerability', 'display_name': 'Economic vulnerability', 'count': 1}, {'name': 'Demography', 'display_name': 'Demography', 'count': 1}, {'name': 'Commercial forestry', 'display_name': 'Commercial forestry', 'count': 5}, {'name': 'Commercial cropping system', 'display_name': 'Commercial cropping system', 'count': 1}, {'name': 'Commercial crop system', 'display_name': 'Commercial crop system', 'count': 2}, {'name': 'Commercial Crop Systems', 'display_name': 'Commercial Crop Systems', 'count': 2}, {'name': 'Climatology-Meteorology-Atmosphere', 'display_name': 'Climatology-Meteorology-Atmosphere', 'count': 2}, {'name': 'Climate science', 'display_name': 'Climate science', 'count': 1}, {'name': 'Boundaries', 'display_name': 'Boundaries', 'count': 3}, {'name': 'Biophysical variables', 'display_name': 'Biophysical variables', 'count': 1}, {'name': 'Bioenergy', 'display_name': 'Bioenergy', 'count': 3}, {'name': 'Agriculture', 'display_name': 'Agriculture', 'count': 5}, {'name': 'Acacia mearnsii', 'display_name': 'Acacia mearnsii', 'count': 1}]}, 'res_format': {'title': 'res_format', 'items': [{'name': 'url', 'display_name': 'url', 'count': 1}, {'name': 'SHP', 'display_name': 'SHP', 'count': 3}, {'name': 'PDF', 'display_name': 'PDF', 'count': 9}, {'name': 'JSON', 'display_name': 'JSON', 'count': 7}, {'name': 'Geo-Tiff', 'display_name': 'Geo-Tiff', 'count': 1}, {'name': 'GEOMAP', 'display_name': 'GEOMAP', 'count': 6}, {'name': '/', 'display_name': '/', 'count': 2}, {'name': '.geotiff', 'display_name': '.geotiff', 'count': 1}, {'name': '.geoTIFF', 'display_name': '.geoTIFF', 'count': 1}]}, 'license_id': {'title': 'license_id', 'items': []}, 'harvest_source_title': {'title': 'harvest_source_title', 'items': []}, 'featured': {'title': 'featured', 'items': [{'name': 'true', 'display_name': 'true', 'count': 7}, {'name': 'false', 'display_name': 'false', 'count': 84}]}, 'topic_and_saeoss_themes': {'title': 'topic_and_saeoss_themes', 'items': [{'name': "{'iso_topic_category': 'oceans'}", 'display_name': "{'iso_topic_category': 'oceans'}", 'count': 17}, {'name': "{'iso_topic_category': 'imageryBaseMapsEarthCover'}", 'display_name': "{'iso_topic_category': 'imageryBaseMapsEarthCover'}", 'count': 38}, {'name': "{'iso_topic_category': 'farming'}", 'display_name': "{'iso_topic_category': 'farming'}", 'count': 3}, {'name': "{'iso_topic_category': 'environment'}", 'display_name': "{'iso_topic_category': 'environment'}", 'count': 9}, {'name': "{'iso_topic_category': 'climatologyMeteorologyAtmosphere'}", 'display_name': "{'iso_topic_category': 'climatologyMeteorologyAtmosphere'}", 'count': 2}, {'name': "{'iso_topic_category': 'boundaries'}", 'display_name': "{'iso_topic_category': 'boundaries'}", 'count': 3}, {'name': "{'iso_topic_category': ''}", 'display_name': "{'iso_topic_category': ''}", 'count': 12}]}} |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.4954932, '_creation_time': 1793468851.4954932} |
| title | 'Organizations' |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| name | 'groups' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Commercial+forestry&tags=Imagery-Basemaps-Earth+Cover&tags=reson&tags=mean+annual+precipitation&organization=sansa&tags=Socio-economic' [GET]> |
| search_facets | {'organization': {'title': 'organization', 'items': [{'name': 'test', 'display_name': 'SANSA Catalogue Satellite Scenes', 'count': 7}, {'name': 'sansa', 'display_name': 'SANSA', 'count': 37}, {'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'display_name': 'NRF-SAIAB', 'count': 16}, {'name': 'saeon', 'display_name': 'NRF-SAEON', 'count': 19}, {'name': 'municipal-demarcation-board', 'display_name': 'MDB', 'count': 3}, {'name': 'dffe', 'display_name': 'DFFE', 'count': 9}]}, 'groups': {'title': 'groups', 'items': []}, 'tags': {'title': 'tags', 'items': [{'name': 'yield estimation', 'display_name': 'yield estimation', 'count': 3}, {'name': 'water and land sustainability', 'display_name': 'water and land sustainability', 'count': 5}, {'name': 'soil moisture', 'display_name': 'soil moisture', 'count': 3}, {'name': 'reson', 'display_name': 'reson', 'count': 4}, {'name': 'residue', 'display_name': 'residue', 'count': 2}, {'name': 'potential', 'display_name': 'potential', 'count': 2}, {'name': 'pinus taeda', 'display_name': 'pinus taeda', 'count': 2}, {'name': 'multibeam bathymetry', 'display_name': 'multibeam bathymetry', 'count': 7}, {'name': 'mesozones', 'display_name': 'mesozones', 'count': 3}, {'name': 'mean annual temperature', 'display_name': 'mean annual temperature', 'count': 2}, {'name': 'mean annual precipitation', 'display_name': 'mean annual precipitation', 'count': 2}, {'name': 'marine environment monitoring', 'display_name': 'marine environment monitoring', 'count': 2}, {'name': 'land use', 'display_name': 'land use', 'count': 3}, {'name': 'land cover', 'display_name': 'land cover', 'count': 3}, {'name': 'hydrographic', 'display_name': 'hydrographic', 'count': 7}, {'name': 'growth areas', 'display_name': 'growth areas', 'count': 6}, {'name': 'general', 'display_name': 'general', 'count': 7}, {'name': 'biomass', 'display_name': 'biomass', 'count': 6}, {'name': 'bathymetry', 'display_name': 'bathymetry', 'count': 13}, {'name': 'agriculture', 'display_name': 'agriculture', 'count': 8}, {'name': 'acacia mearnsii', 'display_name': 'acacia mearnsii', 'count': 1}, {'name': 'aboveground woody biomass', 'display_name': 'aboveground woody biomass', 'count': 1}, {'name': 'Socio-economic', 'display_name': 'Socio-economic', 'count': 2}, {'name': 'Settlement', 'display_name': 'Settlement', 'count': 2}, {'name': 'SPOT4', 'display_name': 'SPOT4', 'count': 2}, {'name': 'SPOT', 'display_name': 'SPOT', 'count': 1}, {'name': 'SGB systems', 'display_name': 'SGB systems', 'count': 7}, {'name': 'Optimum growth area', 'display_name': 'Optimum growth area', 'count': 5}, {'name': 'Oceans', 'display_name': 'Oceans', 'count': 17}, {'name': 'Municipalities', 'display_name': 'Municipalities', 'count': 1}, {'name': 'Images', 'display_name': 'Images', 'count': 2}, {'name': 'Imagery-Basemaps-Earth Cover', 'display_name': 'Imagery-Basemaps-Earth Cover', 'count': 38}, {'name': 'Hazards and vulnerability', 'display_name': 'Hazards and vulnerability', 'count': 1}, {'name': 'Forestry distribution', 'display_name': 'Forestry distribution', 'count': 4}, {'name': 'Farming', 'display_name': 'Farming', 'count': 3}, {'name': 'Environment', 'display_name': 'Environment', 'count': 9}, {'name': 'Energy', 'display_name': 'Energy', 'count': 2}, {'name': 'Economic vulnerability', 'display_name': 'Economic vulnerability', 'count': 1}, {'name': 'Demography', 'display_name': 'Demography', 'count': 1}, {'name': 'Commercial forestry', 'display_name': 'Commercial forestry', 'count': 5}, {'name': 'Commercial cropping system', 'display_name': 'Commercial cropping system', 'count': 1}, {'name': 'Commercial crop system', 'display_name': 'Commercial crop system', 'count': 2}, {'name': 'Commercial Crop Systems', 'display_name': 'Commercial Crop Systems', 'count': 2}, {'name': 'Climatology-Meteorology-Atmosphere', 'display_name': 'Climatology-Meteorology-Atmosphere', 'count': 2}, {'name': 'Climate science', 'display_name': 'Climate science', 'count': 1}, {'name': 'Boundaries', 'display_name': 'Boundaries', 'count': 3}, {'name': 'Biophysical variables', 'display_name': 'Biophysical variables', 'count': 1}, {'name': 'Bioenergy', 'display_name': 'Bioenergy', 'count': 3}, {'name': 'Agriculture', 'display_name': 'Agriculture', 'count': 5}, {'name': 'Acacia mearnsii', 'display_name': 'Acacia mearnsii', 'count': 1}]}, 'res_format': {'title': 'res_format', 'items': [{'name': 'url', 'display_name': 'url', 'count': 1}, {'name': 'SHP', 'display_name': 'SHP', 'count': 3}, {'name': 'PDF', 'display_name': 'PDF', 'count': 9}, {'name': 'JSON', 'display_name': 'JSON', 'count': 7}, {'name': 'Geo-Tiff', 'display_name': 'Geo-Tiff', 'count': 1}, {'name': 'GEOMAP', 'display_name': 'GEOMAP', 'count': 6}, {'name': '/', 'display_name': '/', 'count': 2}, {'name': '.geotiff', 'display_name': '.geotiff', 'count': 1}, {'name': '.geoTIFF', 'display_name': '.geoTIFF', 'count': 1}]}, 'license_id': {'title': 'license_id', 'items': []}, 'harvest_source_title': {'title': 'harvest_source_title', 'items': []}, 'featured': {'title': 'featured', 'items': [{'name': 'true', 'display_name': 'true', 'count': 7}, {'name': 'false', 'display_name': 'false', 'count': 84}]}, 'topic_and_saeoss_themes': {'title': 'topic_and_saeoss_themes', 'items': [{'name': "{'iso_topic_category': 'oceans'}", 'display_name': "{'iso_topic_category': 'oceans'}", 'count': 17}, {'name': "{'iso_topic_category': 'imageryBaseMapsEarthCover'}", 'display_name': "{'iso_topic_category': 'imageryBaseMapsEarthCover'}", 'count': 38}, {'name': "{'iso_topic_category': 'farming'}", 'display_name': "{'iso_topic_category': 'farming'}", 'count': 3}, {'name': "{'iso_topic_category': 'environment'}", 'display_name': "{'iso_topic_category': 'environment'}", 'count': 9}, {'name': "{'iso_topic_category': 'climatologyMeteorologyAtmosphere'}", 'display_name': "{'iso_topic_category': 'climatologyMeteorologyAtmosphere'}", 'count': 2}, {'name': "{'iso_topic_category': 'boundaries'}", 'display_name': "{'iso_topic_category': 'boundaries'}", 'count': 3}, {'name': "{'iso_topic_category': ''}", 'display_name': "{'iso_topic_category': ''}", 'count': 12}]}} |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.4954932, '_creation_time': 1793468851.4954932} |
| title | 'Groups' |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
| h | {'redirect_to': <function redirect_to at 0x7fd08f2cfd30>, 'url': <function url at 0x7fd08f2cfe50>, 'get_site_protocol_and_host': <function get_site_protocol_and_host at 0x7fd08f2cfdc0>, 'url_for': <function url_for at 0x7fd08f2d3040>, 'url_for_static': <function url_for_static at 0x7fd08f2d31f0>, 'url_for_static_or_external': <function url_for_static_or_external at 0x7fd08f2d3280>, 'is_url': <function is_url at 0x7fd08f2d3310>, 'url_is_local': <function url_is_local at 0x7fd08f2d3430>, 'full_current_url': <function full_current_url at 0x7fd08f2d34c0>, 'current_url': <function current_url at 0x7fd08f2d3550>, 'lang': <function lang at 0x7fd08f2d35e0>, 'ckan_version': <function ckan_version at 0x7fd08f2d3670>, 'lang_native_name': <function lang_native_name at 0x7fd08f2d3700>, 'is_rtl_language': <function is_rtl_language at 0x7fd08f2d3790>, 'get_rtl_theme': <function get_rtl_theme at 0x7fd08f2d3820>, 'get_rtl_css': <function get_rtl_css at 0x7fd08f2d38b0>, 'flash_notice': <function 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| name | 'harvest_source_title' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Commercial+forestry&tags=Imagery-Basemaps-Earth+Cover&tags=reson&tags=mean+annual+precipitation&organization=sansa&tags=Socio-economic' [GET]> |
| search_facets | {'organization': {'title': 'organization', 'items': [{'name': 'test', 'display_name': 'SANSA Catalogue Satellite Scenes', 'count': 7}, {'name': 'sansa', 'display_name': 'SANSA', 'count': 37}, {'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'display_name': 'NRF-SAIAB', 'count': 16}, {'name': 'saeon', 'display_name': 'NRF-SAEON', 'count': 19}, {'name': 'municipal-demarcation-board', 'display_name': 'MDB', 'count': 3}, {'name': 'dffe', 'display_name': 'DFFE', 'count': 9}]}, 'groups': {'title': 'groups', 'items': []}, 'tags': {'title': 'tags', 'items': [{'name': 'yield estimation', 'display_name': 'yield estimation', 'count': 3}, {'name': 'water and land sustainability', 'display_name': 'water and land sustainability', 'count': 5}, {'name': 'soil moisture', 'display_name': 'soil moisture', 'count': 3}, {'name': 'reson', 'display_name': 'reson', 'count': 4}, {'name': 'residue', 'display_name': 'residue', 'count': 2}, {'name': 'potential', 'display_name': 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vulnerability', 'count': 1}, {'name': 'Forestry distribution', 'display_name': 'Forestry distribution', 'count': 4}, {'name': 'Farming', 'display_name': 'Farming', 'count': 3}, {'name': 'Environment', 'display_name': 'Environment', 'count': 9}, {'name': 'Energy', 'display_name': 'Energy', 'count': 2}, {'name': 'Economic vulnerability', 'display_name': 'Economic vulnerability', 'count': 1}, {'name': 'Demography', 'display_name': 'Demography', 'count': 1}, {'name': 'Commercial forestry', 'display_name': 'Commercial forestry', 'count': 5}, {'name': 'Commercial cropping system', 'display_name': 'Commercial cropping system', 'count': 1}, {'name': 'Commercial crop system', 'display_name': 'Commercial crop system', 'count': 2}, {'name': 'Commercial Crop Systems', 'display_name': 'Commercial Crop Systems', 'count': 2}, {'name': 'Climatology-Meteorology-Atmosphere', 'display_name': 'Climatology-Meteorology-Atmosphere', 'count': 2}, {'name': 'Climate science', 'display_name': 'Climate science', 'count': 1}, {'name': 'Boundaries', 'display_name': 'Boundaries', 'count': 3}, {'name': 'Biophysical variables', 'display_name': 'Biophysical variables', 'count': 1}, {'name': 'Bioenergy', 'display_name': 'Bioenergy', 'count': 3}, {'name': 'Agriculture', 'display_name': 'Agriculture', 'count': 5}, {'name': 'Acacia mearnsii', 'display_name': 'Acacia mearnsii', 'count': 1}]}, 'res_format': {'title': 'res_format', 'items': [{'name': 'url', 'display_name': 'url', 'count': 1}, {'name': 'SHP', 'display_name': 'SHP', 'count': 3}, {'name': 'PDF', 'display_name': 'PDF', 'count': 9}, {'name': 'JSON', 'display_name': 'JSON', 'count': 7}, {'name': 'Geo-Tiff', 'display_name': 'Geo-Tiff', 'count': 1}, {'name': 'GEOMAP', 'display_name': 'GEOMAP', 'count': 6}, {'name': '/', 'display_name': '/', 'count': 2}, {'name': '.geotiff', 'display_name': '.geotiff', 'count': 1}, {'name': '.geoTIFF', 'display_name': '.geoTIFF', 'count': 1}]}, 'license_id': {'title': 'license_id', 'items': []}, 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| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.4954932, '_creation_time': 1793468851.4954932} |
| title | 'Harvest source' |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| request | <Request 'http://saeoss.sansa.org.za/dataset/groups/008cf5d6-83c0-4cfa-b833-7b04808d84c4' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.56214, '_creation_time': 1793468851.56214} |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.56214, '_creation_time': 1793468851.56214} |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
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| request | <Request 'http://saeoss.sansa.org.za/dataset/groups/008cf5d6-83c0-4cfa-b833-7b04808d84c4' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.56214, '_creation_time': 1793468851.56214} |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| extent | '{"type": "Polygon", "coordinates": [[[16.48, -34.8], [32.9, -34.8], [32.9, -22.1], [16.48, -22.1], [16.48, -34.8]]]}' |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| pkg | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/BEA.DATA.10000099', 'featured': 'false', 'id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'Landcover data entries were obtained from Landsat satellite images used to generate landcover information into 72 landcover types; vegetation type is collected by SANBI; Aboveground woody biomass (carbon values) collected from high resolution data in the Savannah (CSIR- DMt/ha at 100m resolution) or from lower resolution data for the rest of the country (1km).', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-16T11:53:36.431154', 'metadata_date': '2023-06-23T00:00', 'metadata_modified': '2025-10-16T11:56:14.253772', 'metadata_thumbnail': '', 'name': 'bush_encroachment_and_land_cover_change', 'notes': 'The dataset shows landcover change between 1990 (lcov_1990) and 2013 (lcov_2013). Attribute information includes ; pagenumber, mapcode12 (vegetation type), dn_new (aboveground carbon values-DMt/ha), lcov_1990, lcov_2013, parent1990 (general landcover name), parent2013, old_new (landcover change), parent_old_new (landcover change by name), dn_ave_1990 (average for each landcover in 1990), dn_ave_2013, dn_ave_change (average carbon change between 1990 and 2013); and boolean information for the following: bush encroachment, grass encroachment, perturbation, degradation, restoration, habitat loss. Landcover data entries were obtained from Landsat satellite images used to generate landcover information into 72 landcover types; vegetation type is collected by SANBI; Aboveground woody biomass (carbon values) collected from high resolution data in the Savannah (CSIR- DMt/ha at 100m resolution) or from lower resolution data for the rest of the country (1km).', 'num_resources': 1, 'num_tags': 10, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.48, -34.8], [32.9, -34.8], [32.9, -22.1], [16.48, -22.1], [16.48, -34.8]]]}', 'state': 'active', 'title': 'Bush Encroachment and Land Cover Change', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'Data Curation', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2018-01-01T00:00', 'reference_date_type': 2}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'metadata_standard': [{'name': 'SANS 1878-1:2011', 'version': '1.1'}], 'online_resource': [{'application_profile': '', 'description': '', 'linkage': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000099', 'name': 'Bush Encroachment and Land Cover Change'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-16T11:56:03.044528', 'description': '', 'format': 'GEOMAP', 'format_version': '', 'hash': '', 'id': 'ae0b8354-0344-4a6c-a6ec-2281da96ef1b', 'last_modified': None, 'metadata_modified': '2025-10-16T11:56:03.012500', 'mimetype': None, 'mimetype_inner': None, 'name': 'Bush Encroachment and Land Cover Change', 'package_id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000099', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'South African Environmental Observation Network', 'position_name': 'Organisation', 'role': 'resource_provider', 'website': 'catalogue.saeon.ac.za'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': '', 'delivery_point': '', 'postal_code': ''}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Imagery-Basemaps-Earth Cover', 'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'aboveground woody biomass', 'id': 'd70e9ece-6f66-425c-b968-27d8ca0e9b6f', 'name': 'aboveground woody biomass', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'bush encroachment', 'id': '28f6b44a-fc87-4a0f-99a9-0fe35f0778f7', 'name': 'bush encroachment', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'degradation', 'id': 'e36648ca-0354-47e6-82bc-4f6ca1e9a481', 'name': 'degradation', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'grass encroachment', 'id': '64d2ab52-5e98-4ee4-b682-f5ed25153868', 'name': 'grass encroachment', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'habitat loss', 'id': '4f029253-c65b-4fcd-a869-8275ae9723d6', 'name': 'habitat loss', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'landcover', 'id': '54b45451-0abb-47f6-81c5-47d06954721b', 'name': 'landcover', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'perturbation', 'id': '4993162e-83c9-4d6c-9ed2-4264eb57550c', 'name': 'perturbation', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'restoration', 'id': 'eba4a3e7-e03c-45d7-b834-6d5f5b1b503a', 'name': 'restoration', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'vegetation type', 'id': 'ff1a6433-60ae-47f9-be2c-4fe1b6a51655', 'name': 'vegetation type', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'imageryBaseMapsEarthCover'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': [], 'reference_date': '2018-01-01T00:00'} |
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| name | 'featured' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Commercial+forestry&tags=Imagery-Basemaps-Earth+Cover&tags=reson&tags=mean+annual+precipitation&organization=sansa&tags=Socio-economic' [GET]> |
| search_facets | {'organization': {'title': 'organization', 'items': [{'name': 'test', 'display_name': 'SANSA Catalogue Satellite Scenes', 'count': 7}, {'name': 'sansa', 'display_name': 'SANSA', 'count': 37}, {'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'display_name': 'NRF-SAIAB', 'count': 16}, {'name': 'saeon', 'display_name': 'NRF-SAEON', 'count': 19}, {'name': 'municipal-demarcation-board', 'display_name': 'MDB', 'count': 3}, {'name': 'dffe', 'display_name': 'DFFE', 'count': 9}]}, 'groups': {'title': 'groups', 'items': []}, 'tags': {'title': 'tags', 'items': [{'name': 'yield estimation', 'display_name': 'yield estimation', 'count': 3}, {'name': 'water and land sustainability', 'display_name': 'water and land sustainability', 'count': 5}, {'name': 'soil moisture', 'display_name': 'soil moisture', 'count': 3}, {'name': 'reson', 'display_name': 'reson', 'count': 4}, {'name': 'residue', 'display_name': 'residue', 'count': 2}, {'name': 'potential', 'display_name': 'potential', 'count': 2}, {'name': 'pinus taeda', 'display_name': 'pinus taeda', 'count': 2}, {'name': 'multibeam bathymetry', 'display_name': 'multibeam bathymetry', 'count': 7}, {'name': 'mesozones', 'display_name': 'mesozones', 'count': 3}, {'name': 'mean annual temperature', 'display_name': 'mean annual temperature', 'count': 2}, {'name': 'mean annual precipitation', 'display_name': 'mean annual precipitation', 'count': 2}, {'name': 'marine environment monitoring', 'display_name': 'marine environment monitoring', 'count': 2}, {'name': 'land use', 'display_name': 'land use', 'count': 3}, {'name': 'land cover', 'display_name': 'land cover', 'count': 3}, {'name': 'hydrographic', 'display_name': 'hydrographic', 'count': 7}, {'name': 'growth areas', 'display_name': 'growth areas', 'count': 6}, {'name': 'general', 'display_name': 'general', 'count': 7}, {'name': 'biomass', 'display_name': 'biomass', 'count': 6}, {'name': 'bathymetry', 'display_name': 'bathymetry', 'count': 13}, {'name': 'agriculture', 'display_name': 'agriculture', 'count': 8}, {'name': 'acacia mearnsii', 'display_name': 'acacia mearnsii', 'count': 1}, {'name': 'aboveground woody biomass', 'display_name': 'aboveground woody biomass', 'count': 1}, {'name': 'Socio-economic', 'display_name': 'Socio-economic', 'count': 2}, {'name': 'Settlement', 'display_name': 'Settlement', 'count': 2}, {'name': 'SPOT4', 'display_name': 'SPOT4', 'count': 2}, {'name': 'SPOT', 'display_name': 'SPOT', 'count': 1}, {'name': 'SGB systems', 'display_name': 'SGB systems', 'count': 7}, {'name': 'Optimum growth area', 'display_name': 'Optimum growth area', 'count': 5}, {'name': 'Oceans', 'display_name': 'Oceans', 'count': 17}, {'name': 'Municipalities', 'display_name': 'Municipalities', 'count': 1}, {'name': 'Images', 'display_name': 'Images', 'count': 2}, {'name': 'Imagery-Basemaps-Earth Cover', 'display_name': 'Imagery-Basemaps-Earth Cover', 'count': 38}, {'name': 'Hazards and vulnerability', 'display_name': 'Hazards and vulnerability', 'count': 1}, {'name': 'Forestry distribution', 'display_name': 'Forestry distribution', 'count': 4}, {'name': 'Farming', 'display_name': 'Farming', 'count': 3}, {'name': 'Environment', 'display_name': 'Environment', 'count': 9}, {'name': 'Energy', 'display_name': 'Energy', 'count': 2}, {'name': 'Economic vulnerability', 'display_name': 'Economic vulnerability', 'count': 1}, {'name': 'Demography', 'display_name': 'Demography', 'count': 1}, {'name': 'Commercial forestry', 'display_name': 'Commercial forestry', 'count': 5}, {'name': 'Commercial cropping system', 'display_name': 'Commercial cropping system', 'count': 1}, {'name': 'Commercial crop system', 'display_name': 'Commercial crop system', 'count': 2}, {'name': 'Commercial Crop Systems', 'display_name': 'Commercial Crop Systems', 'count': 2}, {'name': 'Climatology-Meteorology-Atmosphere', 'display_name': 'Climatology-Meteorology-Atmosphere', 'count': 2}, {'name': 'Climate science', 'display_name': 'Climate science', 'count': 1}, {'name': 'Boundaries', 'display_name': 'Boundaries', 'count': 3}, {'name': 'Biophysical variables', 'display_name': 'Biophysical variables', 'count': 1}, {'name': 'Bioenergy', 'display_name': 'Bioenergy', 'count': 3}, {'name': 'Agriculture', 'display_name': 'Agriculture', 'count': 5}, {'name': 'Acacia mearnsii', 'display_name': 'Acacia mearnsii', 'count': 1}]}, 'res_format': {'title': 'res_format', 'items': [{'name': 'url', 'display_name': 'url', 'count': 1}, {'name': 'SHP', 'display_name': 'SHP', 'count': 3}, {'name': 'PDF', 'display_name': 'PDF', 'count': 9}, {'name': 'JSON', 'display_name': 'JSON', 'count': 7}, {'name': 'Geo-Tiff', 'display_name': 'Geo-Tiff', 'count': 1}, {'name': 'GEOMAP', 'display_name': 'GEOMAP', 'count': 6}, {'name': '/', 'display_name': '/', 'count': 2}, {'name': '.geotiff', 'display_name': '.geotiff', 'count': 1}, {'name': '.geoTIFF', 'display_name': '.geoTIFF', 'count': 1}]}, 'license_id': {'title': 'license_id', 'items': []}, 'harvest_source_title': {'title': 'harvest_source_title', 'items': []}, 'featured': {'title': 'featured', 'items': [{'name': 'true', 'display_name': 'true', 'count': 7}, {'name': 'false', 'display_name': 'false', 'count': 84}]}, 'topic_and_saeoss_themes': {'title': 'topic_and_saeoss_themes', 'items': [{'name': "{'iso_topic_category': 'oceans'}", 'display_name': "{'iso_topic_category': 'oceans'}", 'count': 17}, {'name': "{'iso_topic_category': 'imageryBaseMapsEarthCover'}", 'display_name': "{'iso_topic_category': 'imageryBaseMapsEarthCover'}", 'count': 38}, {'name': "{'iso_topic_category': 'farming'}", 'display_name': "{'iso_topic_category': 'farming'}", 'count': 3}, {'name': "{'iso_topic_category': 'environment'}", 'display_name': "{'iso_topic_category': 'environment'}", 'count': 9}, {'name': "{'iso_topic_category': 'climatologyMeteorologyAtmosphere'}", 'display_name': "{'iso_topic_category': 'climatologyMeteorologyAtmosphere'}", 'count': 2}, {'name': "{'iso_topic_category': 'boundaries'}", 'display_name': "{'iso_topic_category': 'boundaries'}", 'count': 3}, {'name': "{'iso_topic_category': ''}", 'display_name': "{'iso_topic_category': ''}", 'count': 12}]}} |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.4954932, '_creation_time': 1793468851.4954932} |
| title | 'Featured Metadata records' |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
| h | {'redirect_to': <function redirect_to at 0x7fd08f2cfd30>, 'url': <function url at 0x7fd08f2cfe50>, 'get_site_protocol_and_host': <function get_site_protocol_and_host at 0x7fd08f2cfdc0>, 'url_for': <function url_for at 0x7fd08f2d3040>, 'url_for_static': <function url_for_static at 0x7fd08f2d31f0>, 'url_for_static_or_external': <function url_for_static_or_external at 0x7fd08f2d3280>, 'is_url': <function is_url at 0x7fd08f2d3310>, 'url_is_local': <function url_is_local at 0x7fd08f2d3430>, 'full_current_url': <function full_current_url at 0x7fd08f2d34c0>, 'current_url': <function current_url at 0x7fd08f2d3550>, 'lang': <function lang at 0x7fd08f2d35e0>, 'ckan_version': <function ckan_version at 0x7fd08f2d3670>, 'lang_native_name': <function lang_native_name at 0x7fd08f2d3700>, 'is_rtl_language': <function is_rtl_language at 0x7fd08f2d3790>, 'get_rtl_theme': <function get_rtl_theme at 0x7fd08f2d3820>, 'get_rtl_css': <function get_rtl_css at 0x7fd08f2d38b0>, 'flash_notice': <function flash_notice at 0x7fd08f2d3940>, 'flash_error': <function flash_error at 0x7fd08f2d3dc0>, 'flash_success': <function flash_success at 0x7fd08f2d3e50>, 'are_there_flash_messages': <function are_there_flash_messages at 0x7fd08f2d3ee0>, 'link_to': <function link_to at 0x7fd08f2543a0>, 'file': <function file at 0x7fd08f254430>, 'submit': <function submit at 0x7fd08f2544c0>, 'nav_link': <function nav_link at 0x7fd08f254550>, 'nav_named_link': <function nav_named_link at 0x7fd08f254820>, 'subnav_link': <function subnav_link at 0x7fd08f254940>, 'subnav_named_route': <function subnav_named_route at 0x7fd08f254a60>, 'build_nav_main': <function build_pages_nav_main at 0x7fd0727a9f70>, 'build_nav_icon': <function build_nav_icon at 0x7fd08f254af0>, 'build_nav': <function build_nav at 0x7fd08f254b80>, 'build_extra_admin_nav': <function build_extra_admin_nav at 0x7fd08f254ca0>, 'default_group_type': <function default_group_type at 0x7fd08f254dc0>, 'get_facet_items_dict': <function 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'get_collaborators': <function get_collaborators at 0x7fd08f2588b0>, 'can_update_owner_org': <function can_update_owner_org at 0x7fd08f258940>, 'check_ckan_version': <function check_ckan_version at 0x7fd08f2589d0>, 'csrf_input': <function csrf_input at 0x7fd08f258a60>, 'saeoss_default_spatial_search_extent': functools.partial(<function get_default_spatial_search_extent at 0x7fd0720ccdc0>, 0.001), 'default_bounding_box': <function get_default_bounding_box at 0x7fd0720cce50>, 'convert_geojson_to_bounding_box': <function convert_geojson_to_bbox at 0x7fd0720ccee0>, 'extent_to_bbox': <function convert_string_extent_to_bbox at 0x7fd0720ccf70>, 'saeoss_themes': <function get_saeoss_themes at 0x7fd0721164c0>, 'iso_topic_categories': <function get_iso_topic_categories at 0x7fd0720ccca0>, 'get_iso_topic_display': <function get_iso_topic_display at 0x7fd0720ccd30>, 'saeoss_show_version': <function helper_show_version at 0x7fd0720a4040>, 'user_is_org_member': <function user_is_org_member at 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| name | 'topic_and_saeoss_themes' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Commercial+forestry&tags=Imagery-Basemaps-Earth+Cover&tags=reson&tags=mean+annual+precipitation&organization=sansa&tags=Socio-economic' [GET]> |
| search_facets | {'organization': {'title': 'organization', 'items': [{'name': 'test', 'display_name': 'SANSA Catalogue Satellite Scenes', 'count': 7}, {'name': 'sansa', 'display_name': 'SANSA', 'count': 37}, {'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'display_name': 'NRF-SAIAB', 'count': 16}, {'name': 'saeon', 'display_name': 'NRF-SAEON', 'count': 19}, {'name': 'municipal-demarcation-board', 'display_name': 'MDB', 'count': 3}, {'name': 'dffe', 'display_name': 'DFFE', 'count': 9}]}, 'groups': {'title': 'groups', 'items': []}, 'tags': {'title': 'tags', 'items': [{'name': 'yield estimation', 'display_name': 'yield estimation', 'count': 3}, {'name': 'water and land sustainability', 'display_name': 'water and land sustainability', 'count': 5}, {'name': 'soil moisture', 'display_name': 'soil moisture', 'count': 3}, {'name': 'reson', 'display_name': 'reson', 'count': 4}, {'name': 'residue', 'display_name': 'residue', 'count': 2}, {'name': 'potential', 'display_name': 'potential', 'count': 2}, {'name': 'pinus taeda', 'display_name': 'pinus taeda', 'count': 2}, {'name': 'multibeam bathymetry', 'display_name': 'multibeam bathymetry', 'count': 7}, {'name': 'mesozones', 'display_name': 'mesozones', 'count': 3}, {'name': 'mean annual temperature', 'display_name': 'mean annual temperature', 'count': 2}, {'name': 'mean annual precipitation', 'display_name': 'mean annual precipitation', 'count': 2}, {'name': 'marine environment monitoring', 'display_name': 'marine environment monitoring', 'count': 2}, {'name': 'land use', 'display_name': 'land use', 'count': 3}, {'name': 'land cover', 'display_name': 'land cover', 'count': 3}, {'name': 'hydrographic', 'display_name': 'hydrographic', 'count': 7}, {'name': 'growth areas', 'display_name': 'growth areas', 'count': 6}, {'name': 'general', 'display_name': 'general', 'count': 7}, {'name': 'biomass', 'display_name': 'biomass', 'count': 6}, {'name': 'bathymetry', 'display_name': 'bathymetry', 'count': 13}, {'name': 'agriculture', 'display_name': 'agriculture', 'count': 8}, {'name': 'acacia mearnsii', 'display_name': 'acacia mearnsii', 'count': 1}, {'name': 'aboveground woody biomass', 'display_name': 'aboveground woody biomass', 'count': 1}, {'name': 'Socio-economic', 'display_name': 'Socio-economic', 'count': 2}, {'name': 'Settlement', 'display_name': 'Settlement', 'count': 2}, {'name': 'SPOT4', 'display_name': 'SPOT4', 'count': 2}, {'name': 'SPOT', 'display_name': 'SPOT', 'count': 1}, {'name': 'SGB systems', 'display_name': 'SGB systems', 'count': 7}, {'name': 'Optimum growth area', 'display_name': 'Optimum growth area', 'count': 5}, {'name': 'Oceans', 'display_name': 'Oceans', 'count': 17}, {'name': 'Municipalities', 'display_name': 'Municipalities', 'count': 1}, {'name': 'Images', 'display_name': 'Images', 'count': 2}, {'name': 'Imagery-Basemaps-Earth Cover', 'display_name': 'Imagery-Basemaps-Earth Cover', 'count': 38}, {'name': 'Hazards and vulnerability', 'display_name': 'Hazards and vulnerability', 'count': 1}, {'name': 'Forestry distribution', 'display_name': 'Forestry distribution', 'count': 4}, {'name': 'Farming', 'display_name': 'Farming', 'count': 3}, {'name': 'Environment', 'display_name': 'Environment', 'count': 9}, {'name': 'Energy', 'display_name': 'Energy', 'count': 2}, {'name': 'Economic vulnerability', 'display_name': 'Economic vulnerability', 'count': 1}, {'name': 'Demography', 'display_name': 'Demography', 'count': 1}, {'name': 'Commercial forestry', 'display_name': 'Commercial forestry', 'count': 5}, {'name': 'Commercial cropping system', 'display_name': 'Commercial cropping system', 'count': 1}, {'name': 'Commercial crop system', 'display_name': 'Commercial crop system', 'count': 2}, {'name': 'Commercial Crop Systems', 'display_name': 'Commercial Crop Systems', 'count': 2}, {'name': 'Climatology-Meteorology-Atmosphere', 'display_name': 'Climatology-Meteorology-Atmosphere', 'count': 2}, {'name': 'Climate science', 'display_name': 'Climate science', 'count': 1}, {'name': 'Boundaries', 'display_name': 'Boundaries', 'count': 3}, {'name': 'Biophysical variables', 'display_name': 'Biophysical variables', 'count': 1}, {'name': 'Bioenergy', 'display_name': 'Bioenergy', 'count': 3}, {'name': 'Agriculture', 'display_name': 'Agriculture', 'count': 5}, {'name': 'Acacia mearnsii', 'display_name': 'Acacia mearnsii', 'count': 1}]}, 'res_format': {'title': 'res_format', 'items': [{'name': 'url', 'display_name': 'url', 'count': 1}, {'name': 'SHP', 'display_name': 'SHP', 'count': 3}, {'name': 'PDF', 'display_name': 'PDF', 'count': 9}, {'name': 'JSON', 'display_name': 'JSON', 'count': 7}, {'name': 'Geo-Tiff', 'display_name': 'Geo-Tiff', 'count': 1}, {'name': 'GEOMAP', 'display_name': 'GEOMAP', 'count': 6}, {'name': '/', 'display_name': '/', 'count': 2}, {'name': '.geotiff', 'display_name': '.geotiff', 'count': 1}, {'name': '.geoTIFF', 'display_name': '.geoTIFF', 'count': 1}]}, 'license_id': {'title': 'license_id', 'items': []}, 'harvest_source_title': {'title': 'harvest_source_title', 'items': []}, 'featured': {'title': 'featured', 'items': [{'name': 'true', 'display_name': 'true', 'count': 7}, {'name': 'false', 'display_name': 'false', 'count': 84}]}, 'topic_and_saeoss_themes': {'title': 'topic_and_saeoss_themes', 'items': [{'name': "{'iso_topic_category': 'oceans'}", 'display_name': "{'iso_topic_category': 'oceans'}", 'count': 17}, {'name': "{'iso_topic_category': 'imageryBaseMapsEarthCover'}", 'display_name': "{'iso_topic_category': 'imageryBaseMapsEarthCover'}", 'count': 38}, {'name': "{'iso_topic_category': 'farming'}", 'display_name': "{'iso_topic_category': 'farming'}", 'count': 3}, {'name': "{'iso_topic_category': 'environment'}", 'display_name': "{'iso_topic_category': 'environment'}", 'count': 9}, {'name': "{'iso_topic_category': 'climatologyMeteorologyAtmosphere'}", 'display_name': "{'iso_topic_category': 'climatologyMeteorologyAtmosphere'}", 'count': 2}, {'name': "{'iso_topic_category': 'boundaries'}", 'display_name': "{'iso_topic_category': 'boundaries'}", 'count': 3}, {'name': "{'iso_topic_category': ''}", 'display_name': "{'iso_topic_category': ''}", 'count': 12}]}} |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.4954932, '_creation_time': 1793468851.4954932} |
| title | 'Topic Category' |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
| h | {'redirect_to': <function redirect_to at 0x7fd08f2cfd30>, 'url': <function url at 0x7fd08f2cfe50>, 'get_site_protocol_and_host': <function get_site_protocol_and_host at 0x7fd08f2cfdc0>, 'url_for': <function url_for at 0x7fd08f2d3040>, 'url_for_static': <function url_for_static at 0x7fd08f2d31f0>, 'url_for_static_or_external': <function url_for_static_or_external at 0x7fd08f2d3280>, 'is_url': <function is_url at 0x7fd08f2d3310>, 'url_is_local': <function url_is_local at 0x7fd08f2d3430>, 'full_current_url': <function full_current_url at 0x7fd08f2d34c0>, 'current_url': <function current_url at 0x7fd08f2d3550>, 'lang': <function lang at 0x7fd08f2d35e0>, 'ckan_version': <function ckan_version at 0x7fd08f2d3670>, 'lang_native_name': <function lang_native_name at 0x7fd08f2d3700>, 'is_rtl_language': <function is_rtl_language at 0x7fd08f2d3790>, 'get_rtl_theme': <function get_rtl_theme at 0x7fd08f2d3820>, 'get_rtl_css': <function get_rtl_css at 0x7fd08f2d38b0>, 'flash_notice': <function flash_notice at 0x7fd08f2d3940>, 'flash_error': <function flash_error at 0x7fd08f2d3dc0>, 'flash_success': <function flash_success at 0x7fd08f2d3e50>, 'are_there_flash_messages': <function are_there_flash_messages at 0x7fd08f2d3ee0>, 'link_to': <function link_to at 0x7fd08f2543a0>, 'file': <function file at 0x7fd08f254430>, 'submit': <function submit at 0x7fd08f2544c0>, 'nav_link': <function nav_link at 0x7fd08f254550>, 'nav_named_link': <function nav_named_link at 0x7fd08f254820>, 'subnav_link': <function subnav_link at 0x7fd08f254940>, 'subnav_named_route': <function subnav_named_route at 0x7fd08f254a60>, 'build_nav_main': <function build_pages_nav_main at 0x7fd0727a9f70>, 'build_nav_icon': <function build_nav_icon at 0x7fd08f254af0>, 'build_nav': <function build_nav at 0x7fd08f254b80>, 'build_extra_admin_nav': <function build_extra_admin_nav at 0x7fd08f254ca0>, 'default_group_type': <function default_group_type at 0x7fd08f254dc0>, 'get_facet_items_dict': <function get_facet_items_dict at 0x7fd08f254e50>, 'has_more_facets': <function has_more_facets at 0x7fd08f254ee0>, 'unselected_facet_items': <function unselected_facet_items at 0x7fd08f254f70>, 'get_facet_title': <function get_facet_title at 0x7fd08f255160>, 'get_param_int': <function get_param_int at 0x7fd08f255040>, 'sorted_extras': <function sorted_extras at 0x7fd08f255280>, 'check_access': <function check_access at 0x7fd08f255310>, 'get_action': <function get_action at 0x7fd08f2554c0>, 'linked_user': <function linked_user at 0x7fd08f2553a0>, 'group_name_to_title': <function group_name_to_title at 0x7fd08f255550>, 'truncate': <function truncate at 0x7fd08f2555e0>, 'markdown_extract': <function markdown_extract at 0x7fd08f255670>, 'icon_url': <function icon_url at 0x7fd08f255700>, 'icon_html': <function icon_html at 0x7fd08f255790>, 'icon': <function icon at 0x7fd08f255820>, 'resource_icon': <function resource_icon at 0x7fd08f2558b0>, 'format_icon': <function format_icon at 0x7fd08f255940>, 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'get_collaborators': <function get_collaborators at 0x7fd08f2588b0>, 'can_update_owner_org': <function can_update_owner_org at 0x7fd08f258940>, 'check_ckan_version': <function check_ckan_version at 0x7fd08f2589d0>, 'csrf_input': <function csrf_input at 0x7fd08f258a60>, 'saeoss_default_spatial_search_extent': functools.partial(<function get_default_spatial_search_extent at 0x7fd0720ccdc0>, 0.001), 'default_bounding_box': <function get_default_bounding_box at 0x7fd0720cce50>, 'convert_geojson_to_bounding_box': <function convert_geojson_to_bbox at 0x7fd0720ccee0>, 'extent_to_bbox': <function convert_string_extent_to_bbox at 0x7fd0720ccf70>, 'saeoss_themes': <function get_saeoss_themes at 0x7fd0721164c0>, 'iso_topic_categories': <function get_iso_topic_categories at 0x7fd0720ccca0>, 'get_iso_topic_display': <function get_iso_topic_display at 0x7fd0720ccd30>, 'saeoss_show_version': <function helper_show_version at 0x7fd0720a4040>, 'user_is_org_member': <function user_is_org_member at 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| name | 'tags' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Commercial+forestry&tags=Imagery-Basemaps-Earth+Cover&tags=reson&tags=mean+annual+precipitation&organization=sansa&tags=Socio-economic' [GET]> |
| search_facets | {'organization': {'title': 'organization', 'items': [{'name': 'test', 'display_name': 'SANSA Catalogue Satellite Scenes', 'count': 7}, {'name': 'sansa', 'display_name': 'SANSA', 'count': 37}, {'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'display_name': 'NRF-SAIAB', 'count': 16}, {'name': 'saeon', 'display_name': 'NRF-SAEON', 'count': 19}, {'name': 'municipal-demarcation-board', 'display_name': 'MDB', 'count': 3}, {'name': 'dffe', 'display_name': 'DFFE', 'count': 9}]}, 'groups': {'title': 'groups', 'items': []}, 'tags': {'title': 'tags', 'items': [{'name': 'yield estimation', 'display_name': 'yield estimation', 'count': 3}, {'name': 'water and land sustainability', 'display_name': 'water and land sustainability', 'count': 5}, {'name': 'soil moisture', 'display_name': 'soil moisture', 'count': 3}, {'name': 'reson', 'display_name': 'reson', 'count': 4}, {'name': 'residue', 'display_name': 'residue', 'count': 2}, {'name': 'potential', 'display_name': 'potential', 'count': 2}, {'name': 'pinus taeda', 'display_name': 'pinus taeda', 'count': 2}, {'name': 'multibeam bathymetry', 'display_name': 'multibeam bathymetry', 'count': 7}, {'name': 'mesozones', 'display_name': 'mesozones', 'count': 3}, {'name': 'mean annual temperature', 'display_name': 'mean annual temperature', 'count': 2}, {'name': 'mean annual precipitation', 'display_name': 'mean annual precipitation', 'count': 2}, {'name': 'marine environment monitoring', 'display_name': 'marine environment monitoring', 'count': 2}, {'name': 'land use', 'display_name': 'land use', 'count': 3}, {'name': 'land cover', 'display_name': 'land cover', 'count': 3}, {'name': 'hydrographic', 'display_name': 'hydrographic', 'count': 7}, {'name': 'growth areas', 'display_name': 'growth areas', 'count': 6}, {'name': 'general', 'display_name': 'general', 'count': 7}, {'name': 'biomass', 'display_name': 'biomass', 'count': 6}, {'name': 'bathymetry', 'display_name': 'bathymetry', 'count': 13}, {'name': 'agriculture', 'display_name': 'agriculture', 'count': 8}, {'name': 'acacia mearnsii', 'display_name': 'acacia mearnsii', 'count': 1}, {'name': 'aboveground woody biomass', 'display_name': 'aboveground woody biomass', 'count': 1}, {'name': 'Socio-economic', 'display_name': 'Socio-economic', 'count': 2}, {'name': 'Settlement', 'display_name': 'Settlement', 'count': 2}, {'name': 'SPOT4', 'display_name': 'SPOT4', 'count': 2}, {'name': 'SPOT', 'display_name': 'SPOT', 'count': 1}, {'name': 'SGB systems', 'display_name': 'SGB systems', 'count': 7}, {'name': 'Optimum growth area', 'display_name': 'Optimum growth area', 'count': 5}, {'name': 'Oceans', 'display_name': 'Oceans', 'count': 17}, {'name': 'Municipalities', 'display_name': 'Municipalities', 'count': 1}, {'name': 'Images', 'display_name': 'Images', 'count': 2}, {'name': 'Imagery-Basemaps-Earth Cover', 'display_name': 'Imagery-Basemaps-Earth Cover', 'count': 38}, {'name': 'Hazards and vulnerability', 'display_name': 'Hazards and vulnerability', 'count': 1}, {'name': 'Forestry distribution', 'display_name': 'Forestry distribution', 'count': 4}, {'name': 'Farming', 'display_name': 'Farming', 'count': 3}, {'name': 'Environment', 'display_name': 'Environment', 'count': 9}, {'name': 'Energy', 'display_name': 'Energy', 'count': 2}, {'name': 'Economic vulnerability', 'display_name': 'Economic vulnerability', 'count': 1}, {'name': 'Demography', 'display_name': 'Demography', 'count': 1}, {'name': 'Commercial forestry', 'display_name': 'Commercial forestry', 'count': 5}, {'name': 'Commercial cropping system', 'display_name': 'Commercial cropping system', 'count': 1}, {'name': 'Commercial crop system', 'display_name': 'Commercial crop system', 'count': 2}, {'name': 'Commercial Crop Systems', 'display_name': 'Commercial Crop Systems', 'count': 2}, {'name': 'Climatology-Meteorology-Atmosphere', 'display_name': 'Climatology-Meteorology-Atmosphere', 'count': 2}, {'name': 'Climate science', 'display_name': 'Climate science', 'count': 1}, {'name': 'Boundaries', 'display_name': 'Boundaries', 'count': 3}, {'name': 'Biophysical variables', 'display_name': 'Biophysical variables', 'count': 1}, {'name': 'Bioenergy', 'display_name': 'Bioenergy', 'count': 3}, {'name': 'Agriculture', 'display_name': 'Agriculture', 'count': 5}, {'name': 'Acacia mearnsii', 'display_name': 'Acacia mearnsii', 'count': 1}]}, 'res_format': {'title': 'res_format', 'items': [{'name': 'url', 'display_name': 'url', 'count': 1}, {'name': 'SHP', 'display_name': 'SHP', 'count': 3}, {'name': 'PDF', 'display_name': 'PDF', 'count': 9}, {'name': 'JSON', 'display_name': 'JSON', 'count': 7}, {'name': 'Geo-Tiff', 'display_name': 'Geo-Tiff', 'count': 1}, {'name': 'GEOMAP', 'display_name': 'GEOMAP', 'count': 6}, {'name': '/', 'display_name': '/', 'count': 2}, {'name': '.geotiff', 'display_name': '.geotiff', 'count': 1}, {'name': '.geoTIFF', 'display_name': '.geoTIFF', 'count': 1}]}, 'license_id': {'title': 'license_id', 'items': []}, 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'boundaries'}", 'display_name': "{'iso_topic_category': 'boundaries'}", 'count': 3}, {'name': "{'iso_topic_category': ''}", 'display_name': "{'iso_topic_category': ''}", 'count': 12}]}} |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.4954932, '_creation_time': 1793468851.4954932} |
| title | 'Tags' |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/SARVA.BEEH.10000179', 'featured': 'false', 'id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'Papaya, or pawpaw (Carica papaya) is a tropical fruit grown widely between latitudes 32 degree N and S. High in Vitamin C, papaya is indigenous to tropical America (ARC, 2005). This fruit, initially brought to the attention of Europe around 1520, was introduced to South Africa in seed form by Jan van Riebeeck in 1652, but only grown commercially in the Lowveld of Mpumalanga for the first time in the early 20th century by a Captain Elphick (ARC, 2005). Papaya needs relatively little water in the rainy summer season in South Africa, but if irrigated every 2 weeks in the dry season it is well adapted to hot, dry areas as the fruit then matures early and is then highly palatable owing to its high sugar content (Smith, 1998). Papaya has high heat requirements, with average daily temperatures for optimum growth between 20 and 30 degree Celsius. Determination of climatically optimum growth areas for Papaya in South Africa is based on the expert knowledge of Bower (2005) and Moll (2005), climatically optimum growth areas were determined according to the four basic criteria: Criterion 1: Heat units (base 12 degree Celsius) should exceed 2 000 days per annum, Criterion 2: Optimum areas should have a low frequency of 4 consecutive days with maximum temperatures > 36 degree Celsius, Criterion 3: Monthly means of daily average temperatures in December and January should be 23 degree Celsius - 30 degree Celsius and Criterion 4: Optimum growth areas should have a low frequency of 4 consecutive days with minimum temperatures < 17 degree Celsius. Using the 50 year time series of quality controlled daily maximum and minimum temperatures generated by Schulze and Maharaj (2004) at a spatial resolution of 1 arc minute (i.e. 1` x 1` of a degree latitude/longitude), the above four temperature based criteria were first mapped individually and then superimposed to determine the climatically optimum growth areas of papaya in South Africa.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T11:08:39.531145', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T11:11:28.922543', 'metadata_thumbnail': '', 'name': 'climatically_optimum_growth_areas_papaya_composite_of_all_criteria', 'notes': 'Papaya, or pawpaw (Carica papaya) is a tropical fruit grown widely between latitudes 32 degree N and S. High in Vitamin C, papaya is indigenous to tropical America (ARC, 2005). This fruit, initially brought to the attention of Europe around 1520, was introduced to South Africa in seed form by Jan van Riebeeck in 1652, but only grown commercially in the Lowveld of Mpumalanga for the first time in the early 20th century by a Captain Elphick (ARC, 2005). Papaya needs relatively little water in the rainy summer season in South Africa, but if irrigated every 2 weeks in the dry season it is well adapted to hot, dry areas as the fruit then matures early and is then highly palatable owing to its high sugar content (Smith, 1998). Papaya has high heat requirements, with average daily temperatures for optimum growth between 20 and 30 degree Celsius. Determination of climatically optimum growth areas for Papaya in South Africa is based on the expert knowledge of Bower (2005) and Moll (2005), climatically optimum growth areas were determined according to the four basic criteria: Criterion 1: Heat units (base 12 degree Celsius) should exceed 2 000 days per annum, Criterion 2: Optimum areas should have a low frequency of 4 consecutive days with maximum temperatures > 36 degree Celsius, Criterion 3: Monthly means of daily average temperatures in December and January should be 23 degree Celsius - 30 degree Celsius and Criterion 4: Optimum growth areas should have a low frequency of 4 consecutive days with minimum temperatures < 17 degree Celsius. Using the 50 year time series of quality controlled daily maximum and minimum temperatures generated by Schulze and Maharaj (2004) at a spatial resolution of 1 arc minute (i.e. 1` x 1` of a degree latitude/longitude), the above four temperature based criteria were first mapped individually and then superimposed to determine the climatically optimum growth areas of papaya in South Africa.', 'num_resources': 1, 'num_tags': 11, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.458333, -34.841667], [32.908333, -34.841667], [32.908333, -22.141667], [16.458333, -22.141667], [16.458333, -34.841667]]]}', 'state': 'active', 'title': 'Climatically Optimum Growth Areas Papaya Composite Of All Criteria', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'SAEON', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2007-01-01T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'https://catalogue.saeon.ac.za/records/10.15493/SARVA.BEEH.10000179', 'name': 'Climatically Optimum Growth Areas Papaya Composite Of All Criteria'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-17T11:09:12.315516', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': '7e81d0b1-3193-41ab-bc15-c5cc65df8b56', 'last_modified': None, 'metadata_modified': '2025-10-17T11:09:12.305341', 'mimetype': None, 'mimetype_inner': None, 'name': 'Climatically Optimum Growth Areas Papaya Composite Of All Criteria', 'package_id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://repository.saeon.ac.za/index.php/s/2yTF8TY7xDMA8fH?opendetails=', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'R.E. Schulze & M. 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Of the 7 000 tons of litchis produced annually in South Africa, with a gross value exceeding R25 million, about 60 percent come from Mpumalanga, 38 percent from Limpopo and 2 percent from KwaZulu-Natal (Statistics SA, 2002; NDA, 2005).', 'num_resources': 1, 'num_tags': 9, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. 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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/SARVA.BEEH.10000186', 'featured': 'false', 'id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': ' Criteria for climatically optimum growth areas for passion fruit were refined by Bower (2005). Six criteria were identified and using the 1` x 1` gridded information on temperature related parameters derived by Schulze and Maharaj (2004), the following criteria were mapped: Criterion 1: > 330 days per year with a minimum temperature exceeding 2 degree Celsius; Criterion 2: Fewer than 2 consecutive days per annum with minimum temperatures < -2 degree Celsius; Criterion 3: There should not be > 3 consecutive frost days per annum; Criterion 4: In total, there should be < 25 days per annum with frost; Criterion 5: Maximum temperatures should be < 28 degree Celsius on at least 25 days of each month; Criterion 6: Maximum temperatures should not exceed 35 degree Celsius on any two consecutive days per month. Mapped criteria were given either categorical or probabilistic weightings and when the six maps were superimposed, suitable and less suitable climatically optimum growth areas could be identified.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T10:04:49.448189', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T10:07:55.203305', 'metadata_thumbnail': '', 'name': 'climatically_optimum_growth_areas-_passion_fruit_composite_of_all_criteria', 'notes': 'Passion fruit are believed to have originated from southern Brazil (Kenyaweb, 2005).The most commonly commercially grown of 55 edible species of passion fruit is Passiflora edulis, which consists of perennial woody vines with each producing about 100 fruits per year (RBGK, 2005). In South Africa passion fruit ideally requires a cool subtropical climate for optimum production (Smith, 1998). The vines prefer moderate temperatures throughout the year, with monthly means of daily maxima < 29 degree Celsius. The plants are sensitive to severe frosts, and monthly means of minimum temperatures should be > 6 degree Celsius (NDA, 2005). For commercial production under rainfed conditions MAP should ideally exceed 1 200 mm and be well distributed throughout the year (NDA, 2005), as it is important to maintain the soil moist throughout the growing season to keep the vines flowering and fruiting for longer periods and prevent the fruit from shriveling and falling prematurely (Kenyaweb, 2005). Total commercial production of passion fruit in South Africa is 1 300t per season, with a range (between 1998/9 - 2003/4) in more recent from 900 - 1 700 t (NDA, 2005).The gross value is R65 million/year (NDA, 2005). Criteria for climatically optimum growth areas for passion fruit were refined by Bower (2005). Six criteria were identified and using the 1` x 1` gridded information on temperature related parameters derived by Schulze and Maharaj (2004), the following criteria were mapped: Criterion 1: > 330 days per year with a minimum temperature exceeding 2 degree Celsius; Criterion 2: Fewer than 2 consecutive days per annum with minimum temperatures < -2 degree Celsius; Criterion 3: There should not be > 3 consecutive frost days per annum; Criterion 4: In total, there should be < 25 days per annum with frost; Criterion 5: Maximum temperatures should be < 28 degree Celsius on at least 25 days of each month; Criterion 6: Maximum temperatures should not exceed 35 degree Celsius on any two consecutive days per month. Mapped criteria were given either categorical or probabilistic weightings and when the six maps were superimposed, suitable and less suitable climatically optimum growth areas could be identified. ', 'num_resources': 1, 'num_tags': 10, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.458333, -34.841667], [32.908333, -34.841667], [32.908333, -22.141667], [16.458333, -22.141667], [16.458333, -34.841667]]]}', 'state': 'active', 'title': 'Climatically Optimum Growth Areas (Passion Fruit) Composite Of All Criteria', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'SAEON', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2007-01-01T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'https://catalogue.saeon.ac.za/records/10.15493/SARVA.BEEH.10000186', 'name': 'Climatically Optimum Growth Areas (Passion Fruit) Composite Of All Criteria'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-17T10:05:36.992639', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': '9d64a80d-8520-4035-b2c0-64b3a5308189', 'last_modified': None, 'metadata_modified': '2025-10-17T10:05:36.987063', 'mimetype': None, 'mimetype_inner': None, 'name': 'Climatically Optimum Growth Areas (Passion Fruit) Composite Of All Criteria', 'package_id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://repository.saeon.ac.za/index.php/s/KDwnyqAwyrwkwrM?opendetails=', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'R.E. Schulze & M. 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', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.458333, -34.841667], [32.908333, -34.841667], [32.908333, -22.141667], [16.458333, -22.141667], [16.458333, -34.841667]]]}', 'state': 'active', 'title': 'Climatically Suitable Growth Areas for Eucalyptus badjensis', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'SAEON', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2007-01-01T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'https://catalogue.saeon.ac.za/records/10.15493/SARVA.BEEH.10000034', 'name': 'Climatically Suitable Growth Areas for Eucalyptus badjensis'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-17T09:57:25.829177', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': '5d641cd0-6b18-47dc-9510-a564d9b939ad', 'last_modified': None, 'metadata_modified': '2025-10-17T09:57:25.820623', 'mimetype': None, 'mimetype_inner': None, 'name': 'Climatically Suitable Growth Areas for Eucalyptus badjensis', 'package_id': '9eacac9c-41d1-4a96-8f89-899790ceddcc', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://repository.saeon.ac.za/index.php/s/sD5Bteyo7ZaJ8Nz?opendetails=', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'R.E. 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The map of climatically optimum growth areas shows the main potential areas for A. mearnsii to be in a strip along the coast of the Eastern Cape, parts of the midlands and northwest of KwaZulu-Natal and a strip in Mpumalanga, with smaller patches of climatically optimum areas elsewhere.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T09:32:50.896907', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T09:35:51.349560', 'metadata_thumbnail': '', 'name': 'acacia_mearnsii_bark_yield_estimates_per_mesozone', 'notes': 'The dataset shows Acacia mearnsii - bark yield estimates allocated to mesozones. Yield estimates were derived from Schulze R.E. and Maharaj M. (2007) and then allocated to mesozones by combining with a base mesozone layer obtained from the CSIR Geospatial Analysis Platform (GAP). The map of climatically optimum growth areas shows the main potential areas for A. mearnsii to be in a strip along the coast of the Eastern Cape, parts of the midlands and northwest of KwaZulu-Natal and a strip in Mpumalanga, with smaller patches of climatically optimum areas elsewhere.', 'num_resources': 1, 'num_tags': 11, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. 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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/BEA.DATA.10000014', 'featured': 'false', 'id': 'c1c3fa77-dfe7-47d0-a780-b83e0b8f2315', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': "The dataset shows climatically optimum growth areas and yield estimates of Pinus taeda allocated to mesozones. Yield estimates were derived from Schulze R.E. and Maharaj M. (2007) and then allocated to mesozones by combining with a base mesozone layer obtained from the CSIR Geospatial Analysis Platform (GAP). *The map shows the climatically optimum growth areas to be along the north coast of the Eastern Cape, significant tracts in the midlands of KwaZulu-Natal, and parts of Mpumalanga. Major climatic growth constraints are drought related. Highest Mean Annual Increments (MAIs), according to Smith's (1994) equations, are 20 - 22 t/ha/annum and these coincide with the climatically optimum growth areas.", 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T08:55:19.627353', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T08:57:32.503193', 'metadata_thumbnail': '', 'name': 'pinus_taeda_growth_areas_allocated_to_mesozones', 'notes': "The dataset shows climatically optimum growth areas and yield estimates of Pinus taeda allocated to mesozones. Yield estimates were derived from Schulze R.E. and Maharaj M. (2007) and then allocated to mesozones by combining with a base mesozone layer obtained from the CSIR Geospatial Analysis Platform (GAP). The map shows the climatically optimum growth areas to be along the north coast of the Eastern Cape, significant tracts in the midlands of KwaZulu-Natal, and parts of Mpumalanga. Major climatic growth constraints are drought related. Highest Mean Annual Increments (MAIs), according to Smith's (1994) equations, are 20 - 22 t/ha/annum and these coincide with the climatically optimum growth areas.", 'num_resources': 1, 'num_tags': 9, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. 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Close to infrastructure, and high density of population, economic activity, or biomass potential (possibly problematic); 2. Not close to infrastructure, and high density of population, economic activity, or biomass potential (problematic); 3. Close to infrastructure, and low density of population, economic activity, or biomass potential (not problematic); 4. Not close to infrastructure, and low density of population, economic activity, or biomass potential (not problematic).', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-16T14:41:48.973692', 'metadata_date': '2025-10-16T00:00', 'metadata_modified': '2025-10-16T14:45:21.869326', 'metadata_thumbnail': '', 'name': 'infrastructure_assessments', 'notes': 'SAEON calculated a series of pressure maps to relate population, economic activity and biomass potential to the distribution of current and planned infrastructure. 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The rasters were used in theArcSIE (Soil Inference Engine) version 10.2.105 tool.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-16T10:39:05.866061', 'metadata_date': '2024-07-03T00:00', 'metadata_modified': '2025-10-16T14:33:13.736220', 'metadata_thumbnail': '', 'name': 'digital_soil_mapping_for_hydropedological_purposes_of_the_cathedral_peak_research_catchments', 'notes': 'Conventional soil mapping in montane environments is often a difficult and laborious task given access difficulties, the topography of the environment and the time required to conduct the field investigation. Utilising a remote sensing tool, such as the Arc Soil Inference Engine (ArcSIE) to map soils in these locations can add valuable information for land management. The ArcSIE tool was utilised in the Cathedral Peak research catchments, in KwaZulu-Natal, South Africa with the aim of creating an understanding of the hydropedological behaviour of the soils of three research catchments. A rule-based approach was first undertaken, followed by a case-based validation. A fuzzy membership map of each soil group was produced which integrated all inputs. The overall Kappa coefficient for Cathedral Peak-III is 0.57, for Cathedral Peak-VI is 0.59, and for Cathedral Peak-IX is 0.74. The hydropedological soil group maps achieved an appropriate representation of the complex nature of the soil-landscape relationship, with changes between one soil group and the next being gradual and continuous. Accuracies and inaccuracies within the fuzzy-membership maps can be quantified, allowing for a confidence rating in the use of these maps. These maps can therefore be used in further applications in water and land management for the area.', 'num_resources': 1, 'num_tags': 5, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. 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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/BEA.DATA.10000099', 'featured': 'false', 'id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'Landcover data entries were obtained from Landsat satellite images used to generate landcover information into 72 landcover types; vegetation type is collected by SANBI; Aboveground woody biomass (carbon values) collected from high resolution data in the Savannah (CSIR- DMt/ha at 100m resolution) or from lower resolution data for the rest of the country (1km).', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-16T11:53:36.431154', 'metadata_date': '2023-06-23T00:00', 'metadata_modified': '2025-10-16T11:56:14.253772', 'metadata_thumbnail': '', 'name': 'bush_encroachment_and_land_cover_change', 'notes': 'The dataset shows landcover change between 1990 (lcov_1990) and 2013 (lcov_2013). Attribute information includes ; pagenumber, mapcode12 (vegetation type), dn_new (aboveground carbon values-DMt/ha), lcov_1990, lcov_2013, parent1990 (general landcover name), parent2013, old_new (landcover change), parent_old_new (landcover change by name), dn_ave_1990 (average for each landcover in 1990), dn_ave_2013, dn_ave_change (average carbon change between 1990 and 2013); and boolean information for the following: bush encroachment, grass encroachment, perturbation, degradation, restoration, habitat loss. Landcover data entries were obtained from Landsat satellite images used to generate landcover information into 72 landcover types; vegetation type is collected by SANBI; Aboveground woody biomass (carbon values) collected from high resolution data in the Savannah (CSIR- DMt/ha at 100m resolution) or from lower resolution data for the rest of the country (1km).', 'num_resources': 1, 'num_tags': 10, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.48, -34.8], [32.9, -34.8], [32.9, -22.1], [16.48, -22.1], [16.48, -34.8]]]}', 'state': 'active', 'title': 'Bush Encroachment and Land Cover Change', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'Data Curation', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2018-01-01T00:00', 'reference_date_type': 2}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'metadata_standard': [{'name': 'SANS 1878-1:2011', 'version': '1.1'}], 'online_resource': [{'application_profile': '', 'description': '', 'linkage': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000099', 'name': 'Bush Encroachment and Land Cover Change'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-16T11:56:03.044528', 'description': '', 'format': 'GEOMAP', 'format_version': '', 'hash': '', 'id': 'ae0b8354-0344-4a6c-a6ec-2281da96ef1b', 'last_modified': None, 'metadata_modified': '2025-10-16T11:56:03.012500', 'mimetype': None, 'mimetype_inner': None, 'name': 'Bush Encroachment and Land Cover Change', 'package_id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000099', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'South African Environmental Observation Network', 'position_name': 'Organisation', 'role': 'resource_provider', 'website': 'catalogue.saeon.ac.za'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': '', 'delivery_point': '', 'postal_code': ''}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Imagery-Basemaps-Earth Cover', 'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'aboveground woody biomass', 'id': 'd70e9ece-6f66-425c-b968-27d8ca0e9b6f', 'name': 'aboveground woody biomass', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'bush encroachment', 'id': '28f6b44a-fc87-4a0f-99a9-0fe35f0778f7', 'name': 'bush encroachment', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'degradation', 'id': 'e36648ca-0354-47e6-82bc-4f6ca1e9a481', 'name': 'degradation', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'grass encroachment', 'id': '64d2ab52-5e98-4ee4-b682-f5ed25153868', 'name': 'grass encroachment', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'habitat loss', 'id': '4f029253-c65b-4fcd-a869-8275ae9723d6', 'name': 'habitat loss', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'landcover', 'id': '54b45451-0abb-47f6-81c5-47d06954721b', 'name': 'landcover', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'perturbation', 'id': '4993162e-83c9-4d6c-9ed2-4264eb57550c', 'name': 'perturbation', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'restoration', 'id': 'eba4a3e7-e03c-45d7-b834-6d5f5b1b503a', 'name': 'restoration', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'vegetation type', 'id': 'ff1a6433-60ae-47f9-be2c-4fe1b6a51655', 'name': 'vegetation type', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'imageryBaseMapsEarthCover'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []} |
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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/NRF.SAIAB.20232503', 'featured': 'false', 'id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'This dataset consists of XYZ points below the sea surface and relative to the mean sea level. This data was collected under the ACEP SMART ZONES MPA project (2021 – 2023) using the ACEP Geophysics and Mapping Platform.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-11T13:54:29.780880', 'metadata_date': '202301-02-06T00:00', 'metadata_modified': '2025-09-12T08:46:26.411995', 'metadata_thumbnail': '', 'name': 'bathymetry_data_collected_from_rosie_snowball_july_2021', 'notes': "This dataset forms part of the South African Institute for Aquatic Biodiversity (SAIAB)'s collection of Bathymetry data for the African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA. This multi-disciplinary study will begin at the start of the implementation of two new MPAs (uThukela MPA and Protea Banks MPA, both proclaimed in 2019), and will generate the relevant data needed to underpin an evidence-based approach to adaptive management of the MPAs, within a “SMART” framework. This framework defines specific objectives for the different MPA zones; and develops measurable indicators of success for each zone. It also sets achievable goals given the limited resources available for planning and management. This ensures that the research findings are relevant (to both biodiversity and human stakeholders). This is a rare time-sensitive opportunity to conduct baseline surveys of the geology, benthic biodiversity (sessile and mobile species), reef-associated ichthyoplankton and mero-zooplankton and fish communities of mesophotic (40-150m) soft-coral and sponge-dominated reefs and submarine habitats located in three different management zones at the initiation of management of two brand new MPAs, against which long-term monitoring data can be compared to assess the effectiveness of the MPAs in achieving their objectives. The balanced sampling design is such that it will also initiate a “natural experiment” that over time will investigate the effect of no-take zones on fish diversity and abundance, benthic community structure, and trophic complexity. This will also enable the determination of the value of the MPA for fisheries sustainability support and resilience to disturbances caused by extrinsic factors such as pollution or climate change. Additionally, this study will assess whether the zonation plans provide for representation of all reef and canyon types within each zone or if there is unbalanced coverage for certain reefs and in certain zones. This is important to assess the initiation of the MPA, especially to ensure that the interpretation of monitoring results in future to compare ecosystems and fish on reefs and canyons in the mesophotic zone are not flawed by natural differences from the outset due to the selection of zone boundaries. This dataset consists of XYZ points below the sea surface and relative to the mean sea level. This data was collected under the ACEP SMART ZONES MPA project (2021 – 2023) using the ACEP Geophysics and Mapping Platform.", 'num_resources': 1, 'num_tags': 6, 'organization': {'id': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'title': 'NRF-SAIAB', 'type': 'organization', 'description': 'The South African Institute for Aquatic Biodiversity (NRF-SAIAB) is a national facility of the National Research Foundation (NRF). 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This multi-disciplinary study will begin at the start of the implementation of two new MPAs (uThukela MPA and Protea Banks MPA, both proclaimed in 2019), and will generate the relevant data needed to underpin an evidence-based approach to adaptive management of the MPAs, within a “SMART” framework. This framework defines specific objectives for the different MPA zones; develops measurable indicators of success for each zone; sets achievable goals given the limited resources available for planning and management; ensures that the research findings are relevant (to both biodiversity and human stakeholders). This is a rare time-sensitive opportunity to conduct baseline surveys of the geology, benthic biodiversity (sessile and mobile species), reef-associated ichthyoplankton and mero-zooplankton and fish communities of mesophotic (40-150m) soft-coral and sponge-dominated reefs and submarine habitats located in three different management zones at initiation of management of two brand new MPAs, against which long-term monitoring data can be compared to assess the effectiveness of the MPAs in achieving their objectives. The balanced sampling design is such that it will also initiate a “natural experiment” that over time will investigate the effect of no-take zones on fish diversity and abundance, benthic community structure, and trophic complexity. This will also enable the determination of the value of the MPA for fisheries sustainability support and resilience to disturbances caused by extrinsic factors such as pollution or climate change. Additionally, this study will assess whether the zonation plan provides for representation of all reef and canyon types within each zone or if there is unbalanced coverage for certain reefs and in certain zones. This is important to assess at the initiation of the MPA, especially to ensure that the interpretation of monitoring results in future, which compare ecosystems and fish on reefs and canyons in the mesophotic zone are not flawed by natural differences from the outset due to the selection of zone boundaries. This dataset consists of XYZ points below the sea surface and relative to the mean sea level. 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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/NRF.SAIAB.20232516', 'featured': 'false', 'id': '209cd0fd-d80b-492e-969e-e8223d010104', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'This dataset consists of locations below the surface of the water where the depth of water is precisely known relative to MSL. Sessile and mobile epibenthic invertebrates are organisms that are part of the benthic community.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-11T14:21:53.400156', 'metadata_date': '2023-01-27T00:00', 'metadata_modified': '2025-09-12T08:29:23.503760', 'metadata_thumbnail': '', 'name': 'bathymetry_data_collected_from_mobile_epibenthic_invertebrate_stations_november_2022', 'notes': "This dataset forms part of the South African Institute for Aquatic Biodiversity (SAIAB)'s collection of Bathymetry data for the African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA. This dataset is used for seabed analysis, the interpretation and creation of derivatives for geomorphological and statistical analysis in comparison with biological metrics. This dataset consists of locations below the surface of the water where the depth of water is precisely known relative to MSL. Sessile and mobile epibenthic invertebrates are organisms that are part of the benthic community. These organisms perform crucial roles and ecosystem services that benefit the benthic community and marine environment as a whole. These organisms’ distribution is affected by many abiotic and biotic factors. This study aims to determine the distribution of both the mobile and sessile epibenthic invertebrates and to investigate the relationship between the mobile and sessile epibenthic invertebrates. The objectives are to measure the abundance and composition of both the mobile and sessile epibenthic invertebrates found on the inner continental shelf of Umhlanga, KwaZulu-Natal and to analyze the statistical relationship between the sessile epibenthic assemblage data and the mobile epibenthic assemblage data. These aims and objectives will be satisfied by sampling on the Umhlanga coast using a drop camera and a baited drop camera. Multivariate tests were run on the abundance data and a Pearson’s correlation test for the relationship between the mobile and sessile epibenthic invertebrates. This study will provide new data on the presence and abundance of understudied mobile invertebrates inhabiting unconsolidated sediments of the KZN inner continental shelf and contribute to our understanding of the relationship between sessile and mobile invertebrate epifauna on the unconsolidated inner continental shelf. It will also test and establish the usefulness of a baited drop-camera for sampling epibenthic invertebrates.", 'num_resources': 1, 'num_tags': 6, 'organization': {'id': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'title': 'NRF-SAIAB', 'type': 'organization', 'description': 'The South African Institute for Aquatic Biodiversity (NRF-SAIAB) is a national facility of the National Research Foundation (NRF). The NRF-SAIAB contributes to two National Operation Phakisa Labs through which South Africa has identified the potential to develop the Biodiversity Economy and the Blue Economy.', 'image_url': '2025-09-11-081630.579961SouthAfricanInstituteforAquaticBiodiversitylogo.svg.png', 'created': '2025-09-11T08:16:30.612011', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[31.115365, -29.803761], [31.185535, -29.803761], [31.185535, -29.748017], [31.115365, -29.748017], [31.115365, -29.803761]]]}', 'state': 'active', 'title': 'Bathymetry data collected from Mobile Epibenthic Invertebrate Stations, November 2022', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'T.Wanda@saiab.nrf.ac.za', 'individual_name': 'Thamsanqa Wanda', 'position_name': 'Geologist', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2023-01-27T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'http://doi.org/10.15493/NRF.SAIAB.20232516', 'name': 'bathymetry_data_collected_from_mobile_epibenthic_invertebrate_stations_november_2022'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-09-11T14:22:17.751814', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': 'f6492885-e526-4883-ba79-61a161dc0806', 'last_modified': None, 'metadata_modified': '2025-09-12T08:29:23.519836', 'mimetype': None, 'mimetype_inner': None, 'name': 'Bathymetry data collected from Mobile Epibenthic Invertebrate Stations, November 2022', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'position': 0, 'resource_type': None, 'size': None, 'state': 'active', 'url': 'https://catalogue.saeon.ac.za/list/records/10.15493/NRF.SAIAB.20232516?search=68c2b42da71d058a420b0236&disableSidebar=false&showSearchBar=true', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'South African Institute for Aquatic Biodiversity ', 'position_name': 'SAIAB', 'role': 'owner', 'website': 'https://nrfsaiab.wixsite.com/gemapocean'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': 'Makhanda', 'delivery_point': 'Somerset Street', 'postal_code': '6139'}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Oceans', 'id': '2547e672-a968-4048-814b-29a682525254', 'name': 'Oceans', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'SGB systems', 'id': 'e90bd4d4-da24-418e-a5b1-f9d0cf063793', 'name': 'SGB systems', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'bathymetry', 'id': '84d64091-149a-4cd4-bf97-f828e908fe76', 'name': 'bathymetry', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'hydrographic', 'id': '903bf930-556a-402c-a784-3c57de8bc65b', 'name': 'hydrographic', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'multibeam bathymetry', 'id': '1fe9236d-3571-4fe0-9305-f1b40579e991', 'name': 'multibeam bathymetry', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'reson', 'id': '4ff1fff4-deb9-4256-a9c0-f03802b2d0e7', 'name': 'reson', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'oceans'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []} |
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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/BEA.DATA.250320-20', 'featured': 'false', 'id': '695aa705-9c99-41b3-983b-6bbc25d36d45', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': "A cost surface using a digital elevation model (SRTM v3) [~30m] was used as the basis, with main water features (rivers and dams) and a slope threshold of 15 degrees removed as obstacles from the surface. Start points (derived from a 1km x 1km raster grid, and end points (the NGI road layer) rasterised at a 100m x 100m resolution, both using the StatsSA BSU grid projection ['+proj=aea +lat_1=-22 +lat_2=-38 +lat_0=-30 +lon_0=25 +x_0=1400000 +y_0=1300000 +datum=WGS84 +units=m +no_defs]) were used as location inputs. Non-NA raster values from these location inputs were converted to points (the centroid of each Non-NA pixel), then reprojected to the same resolution as the cost surface (e.g. EPSG:4326 - WGS 84 – Geographic). A variable resolution window was used for modelling [based on 250 start points at a time, each linked to 100 closest road points [end points] to create an extent and perform the modelling operation in reasonably sized chunks].", 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-11T14:42:20.726226', 'metadata_date': '2023-01-01T00:00', 'metadata_modified': '2025-09-11T14:43:53.300875', 'metadata_thumbnail': '', 'name': 'virtual_roads_for_the_bioenergy_atlas', 'notes': "Virtual roads representing theoretical paths [roads] starting every 1km apart (across South Africa) from areas where no roads exists to the closest road segment in South Africa's National Geo-spatial Information (NGI) 2019 road layer (http://www.ngi.gov.za) -- for use in the SAEON BioEnergy Atlas feasibility model. A cost surface using a digital elevation model (SRTM v3) [~30m] was used as the basis, with main water features (rivers and dams) and a slope threshold of 15 degrees removed as obstacles from the surface. Start points (derived from a 1km x 1km raster grid, and end points (the NGI road layer) rasterised at a 100m x 100m resolution, both using the StatsSA BSU grid projection ['+proj=aea +lat_1=-22 +lat_2=-38 +lat_0=-30 +lon_0=25 +x_0=1400000 +y_0=1300000 +datum=WGS84 +units=m +no_defs]) were used as location inputs. Non-NA raster values from these location inputs were converted to points (the centroid of each Non-NA pixel), then reprojected to the same resolution as the cost surface (e.g. EPSG:4326 - WGS 84 – Geographic). A variable resolution window was used for modelling [based on 250 start points at a time, each linked to 100 closest road points [end points] to create an extent and perform the modelling operation in reasonably sized chunks]. The scikit-image python package was used to find the shortest path through each cost surface array cropped using the variable window extent, using a fully connected (i.e diagonal pixels) minimum cost path (MCU) algorithm. All outputs were merged to create a seamless Virtual roads layer with 1 051 696 individual paths covering South Africa.", 'num_resources': 1, 'num_tags': 1, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': 'Temporal extent: 2020-01-01/2021-01-01', 'spatial': '{"type": "Polygon", "coordinates": [[[18.418274, -34.421526], [32.773142, -34.421526], [32.773142, -22.771933], [18.418274, -22.771933], [18.418274, -34.421526]]]}', 'state': 'active', 'title': 'Virtual Roads for the BioEnergy Atlas', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'm.pienaar@saeon.nrf.ac.za', 'individual_name': 'Marc Pienaar', 'position_name': 'Data Science Lead', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2023-01-01T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Vector', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'metadata_standard': [{'name': 'SANS 1878-1:2011', 'version': '1.1'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'http://doi.org/10.15493/BEA.DATA.250320-20', 'name': 'virtual_roads_for_the_bioenergy_atlas'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-09-11T14:43:39.502682', 'description': '', 'format': 'SHP', 'format_version': '', 'hash': '', 'id': '21133e12-ea91-4955-866c-62ae4330e4ac', 'last_modified': None, 'metadata_modified': '2025-09-11T14:43:39.493080', 'mimetype': None, 'mimetype_inner': None, 'name': 'Virtual Roads for the BioEnergy Atlas', 'package_id': '695aa705-9c99-41b3-983b-6bbc25d36d45', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://repository.saeon.ac.za/index.php/s/AR3iz9wrn4YFmcb', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'South African Environmental Observation Network', 'position_name': 'SAEON', 'role': 'originator', 'website': 'https://catalogue.saeon.ac.za'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': '', 'delivery_point': '', 'postal_code': ''}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': '100x100', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Imagery-Basemaps-Earth Cover', 'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'imageryBaseMapsEarthCover'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []} |
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Attribute information includes ; pagenumber, mapcode12 (vegetation type), dn_new (aboveground carbon values-DMt/ha), lcov_1990, lcov_2013, parent1990 (general landcover name), parent2013, old_new (landcover change), parent_old_new (landcover change by name), dn_ave_1990 (average for each landcover in 1990), dn_ave_2013, dn_ave_change (average carbon change between 1990 and 2013); and boolean information for the following: bush encroachment, grass encroachment, perturbation, degradation, restoration, habitat loss. 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Multivariate tests were run on the abundance data and a Pearson’s correlation test for the relationship between the mobile and sessile epibenthic invertebrates. This study will provide new data on the presence and abundance of understudied mobile invertebrates inhabiting unconsolidated sediments of the KZN inner continental shelf and contribute to our understanding of the relationship between sessile and mobile invertebrate epifauna on the unconsolidated inner continental shelf. It will also test and establish the usefulness of a baited drop-camera for sampling epibenthic invertebrates.", 'num_resources': 1, 'num_tags': 6, 'organization': {'id': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'title': 'NRF-SAIAB', 'type': 'organization', 'description': 'The South African Institute for Aquatic Biodiversity (NRF-SAIAB) is a national facility of the National Research Foundation (NRF). 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| page | Page: Collection type: <class 'list'> (Current) page: 1 First item: 1 Last item: 20 First page: 1 Last page: 3 Previous page: None Next page: 2 Items per page: 20 Number of items: 57 Number of pages: 3 |
| q | '' |
| query_error | False |
| remove_field | functools.partial(<function remove_field at 0x7fd0727a2040>, 'dataset') |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Commercial+forestry&tags=Imagery-Basemaps-Earth+Cover&tags=reson&tags=mean+annual+precipitation&organization=sansa&tags=Socio-economic' [GET]> |
| search_facets | {'organization': {'title': 'organization', 'items': [{'name': 'test', 'display_name': 'SANSA Catalogue Satellite Scenes', 'count': 7}, {'name': 'sansa', 'display_name': 'SANSA', 'count': 37}, {'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'display_name': 'NRF-SAIAB', 'count': 16}, {'name': 'saeon', 'display_name': 'NRF-SAEON', 'count': 19}, {'name': 'municipal-demarcation-board', 'display_name': 'MDB', 'count': 3}, {'name': 'dffe', 'display_name': 'DFFE', 'count': 9}]}, 'groups': {'title': 'groups', 'items': []}, 'tags': {'title': 'tags', 'items': [{'name': 'yield estimation', 'display_name': 'yield estimation', 'count': 3}, {'name': 'water and land sustainability', 'display_name': 'water and land sustainability', 'count': 5}, {'name': 'soil moisture', 'display_name': 'soil moisture', 'count': 3}, {'name': 'reson', 'display_name': 'reson', 'count': 4}, {'name': 'residue', 'display_name': 'residue', 'count': 2}, {'name': 'potential', 'display_name': 'potential', 'count': 2}, {'name': 'pinus taeda', 'display_name': 'pinus taeda', 'count': 2}, {'name': 'multibeam bathymetry', 'display_name': 'multibeam bathymetry', 'count': 7}, {'name': 'mesozones', 'display_name': 'mesozones', 'count': 3}, {'name': 'mean annual temperature', 'display_name': 'mean annual temperature', 'count': 2}, {'name': 'mean annual precipitation', 'display_name': 'mean annual precipitation', 'count': 2}, {'name': 'marine environment monitoring', 'display_name': 'marine environment monitoring', 'count': 2}, {'name': 'land use', 'display_name': 'land use', 'count': 3}, {'name': 'land cover', 'display_name': 'land cover', 'count': 3}, {'name': 'hydrographic', 'display_name': 'hydrographic', 'count': 7}, {'name': 'growth areas', 'display_name': 'growth areas', 'count': 6}, {'name': 'general', 'display_name': 'general', 'count': 7}, {'name': 'biomass', 'display_name': 'biomass', 'count': 6}, {'name': 'bathymetry', 'display_name': 'bathymetry', 'count': 13}, {'name': 'agriculture', 'display_name': 'agriculture', 'count': 8}, {'name': 'acacia mearnsii', 'display_name': 'acacia mearnsii', 'count': 1}, {'name': 'aboveground woody biomass', 'display_name': 'aboveground woody biomass', 'count': 1}, {'name': 'Socio-economic', 'display_name': 'Socio-economic', 'count': 2}, {'name': 'Settlement', 'display_name': 'Settlement', 'count': 2}, {'name': 'SPOT4', 'display_name': 'SPOT4', 'count': 2}, {'name': 'SPOT', 'display_name': 'SPOT', 'count': 1}, {'name': 'SGB systems', 'display_name': 'SGB systems', 'count': 7}, {'name': 'Optimum growth area', 'display_name': 'Optimum growth area', 'count': 5}, {'name': 'Oceans', 'display_name': 'Oceans', 'count': 17}, {'name': 'Municipalities', 'display_name': 'Municipalities', 'count': 1}, {'name': 'Images', 'display_name': 'Images', 'count': 2}, {'name': 'Imagery-Basemaps-Earth Cover', 'display_name': 'Imagery-Basemaps-Earth Cover', 'count': 38}, {'name': 'Hazards and vulnerability', 'display_name': 'Hazards and vulnerability', 'count': 1}, {'name': 'Forestry distribution', 'display_name': 'Forestry distribution', 'count': 4}, {'name': 'Farming', 'display_name': 'Farming', 'count': 3}, {'name': 'Environment', 'display_name': 'Environment', 'count': 9}, {'name': 'Energy', 'display_name': 'Energy', 'count': 2}, {'name': 'Economic vulnerability', 'display_name': 'Economic vulnerability', 'count': 1}, {'name': 'Demography', 'display_name': 'Demography', 'count': 1}, {'name': 'Commercial forestry', 'display_name': 'Commercial forestry', 'count': 5}, {'name': 'Commercial cropping system', 'display_name': 'Commercial cropping system', 'count': 1}, {'name': 'Commercial crop system', 'display_name': 'Commercial crop system', 'count': 2}, {'name': 'Commercial Crop Systems', 'display_name': 'Commercial Crop Systems', 'count': 2}, {'name': 'Climatology-Meteorology-Atmosphere', 'display_name': 'Climatology-Meteorology-Atmosphere', 'count': 2}, {'name': 'Climate science', 'display_name': 'Climate science', 'count': 1}, {'name': 'Boundaries', 'display_name': 'Boundaries', 'count': 3}, {'name': 'Biophysical variables', 'display_name': 'Biophysical variables', 'count': 1}, {'name': 'Bioenergy', 'display_name': 'Bioenergy', 'count': 3}, {'name': 'Agriculture', 'display_name': 'Agriculture', 'count': 5}, {'name': 'Acacia mearnsii', 'display_name': 'Acacia mearnsii', 'count': 1}]}, 'res_format': {'title': 'res_format', 'items': [{'name': 'url', 'display_name': 'url', 'count': 1}, {'name': 'SHP', 'display_name': 'SHP', 'count': 3}, {'name': 'PDF', 'display_name': 'PDF', 'count': 9}, {'name': 'JSON', 'display_name': 'JSON', 'count': 7}, {'name': 'Geo-Tiff', 'display_name': 'Geo-Tiff', 'count': 1}, {'name': 'GEOMAP', 'display_name': 'GEOMAP', 'count': 6}, {'name': '/', 'display_name': '/', 'count': 2}, {'name': '.geotiff', 'display_name': '.geotiff', 'count': 1}, {'name': '.geoTIFF', 'display_name': '.geoTIFF', 'count': 1}]}, 'license_id': {'title': 'license_id', 'items': []}, 'harvest_source_title': {'title': 'harvest_source_title', 'items': []}, 'featured': {'title': 'featured', 'items': [{'name': 'true', 'display_name': 'true', 'count': 7}, {'name': 'false', 'display_name': 'false', 'count': 84}]}, 'topic_and_saeoss_themes': {'title': 'topic_and_saeoss_themes', 'items': [{'name': "{'iso_topic_category': 'oceans'}", 'display_name': "{'iso_topic_category': 'oceans'}", 'count': 17}, {'name': "{'iso_topic_category': 'imageryBaseMapsEarthCover'}", 'display_name': "{'iso_topic_category': 'imageryBaseMapsEarthCover'}", 'count': 38}, {'name': "{'iso_topic_category': 'farming'}", 'display_name': "{'iso_topic_category': 'farming'}", 'count': 3}, {'name': "{'iso_topic_category': 'environment'}", 'display_name': "{'iso_topic_category': 'environment'}", 'count': 9}, {'name': "{'iso_topic_category': 'climatologyMeteorologyAtmosphere'}", 'display_name': "{'iso_topic_category': 'climatologyMeteorologyAtmosphere'}", 'count': 2}, {'name': "{'iso_topic_category': 'boundaries'}", 'display_name': "{'iso_topic_category': 'boundaries'}", 'count': 3}, {'name': "{'iso_topic_category': ''}", 'display_name': "{'iso_topic_category': ''}", 'count': 12}]}} |
| search_url_params | 'tags=Commercial+forestry&tags=Imagery-Basemaps-Earth+Cover&tags=reson&tags=mean+annual+precipitation&tags=Socio-economic&organization=sansa' |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.4954932, '_creation_time': 1793468851.4954932} |
| sort_by | functools.partial(<function _sort_by at 0x7fd0727a20d0>, [('tags', 'Commercial forestry'), ('tags', 'Imagery-Basemaps-Earth Cover'), ('tags', 'reson'), ('tags', 'mean annual precipitation'), ('tags', 'Socio-economic'), ('organization', 'sansa')], 'dataset') |
| sort_by_fields | [] |
| sort_by_selected | 'score desc, metadata_modified desc' |
| ungettext | <function ungettext at 0x7fd09175f670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| pkg_dict | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/BEA.DATA.10000099', 'featured': 'false', 'id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'Landcover data entries were obtained from Landsat satellite images used to generate landcover information into 72 landcover types; vegetation type is collected by SANBI; Aboveground woody biomass (carbon values) collected from high resolution data in the Savannah (CSIR- DMt/ha at 100m resolution) or from lower resolution data for the rest of the country (1km).', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-16T11:53:36.431154', 'metadata_date': '2023-06-23T00:00', 'metadata_modified': '2025-10-16T11:56:14.253772', 'metadata_thumbnail': '', 'name': 'bush_encroachment_and_land_cover_change', 'notes': 'The dataset shows landcover change between 1990 (lcov_1990) and 2013 (lcov_2013). Attribute information includes ; pagenumber, mapcode12 (vegetation type), dn_new (aboveground carbon values-DMt/ha), lcov_1990, lcov_2013, parent1990 (general landcover name), parent2013, old_new (landcover change), parent_old_new (landcover change by name), dn_ave_1990 (average for each landcover in 1990), dn_ave_2013, dn_ave_change (average carbon change between 1990 and 2013); and boolean information for the following: bush encroachment, grass encroachment, perturbation, degradation, restoration, habitat loss. Landcover data entries were obtained from Landsat satellite images used to generate landcover information into 72 landcover types; vegetation type is collected by SANBI; Aboveground woody biomass (carbon values) collected from high resolution data in the Savannah (CSIR- DMt/ha at 100m resolution) or from lower resolution data for the rest of the country (1km).', 'num_resources': 1, 'num_tags': 10, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.48, -34.8], [32.9, -34.8], [32.9, -22.1], [16.48, -22.1], [16.48, -34.8]]]}', 'state': 'active', 'title': 'Bush Encroachment and Land Cover Change', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'Data Curation', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2018-01-01T00:00', 'reference_date_type': 2}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'metadata_standard': [{'name': 'SANS 1878-1:2011', 'version': '1.1'}], 'online_resource': [{'application_profile': '', 'description': '', 'linkage': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000099', 'name': 'Bush Encroachment and Land Cover Change'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-16T11:56:03.044528', 'description': '', 'format': 'GEOMAP', 'format_version': '', 'hash': '', 'id': 'ae0b8354-0344-4a6c-a6ec-2281da96ef1b', 'last_modified': None, 'metadata_modified': '2025-10-16T11:56:03.012500', 'mimetype': None, 'mimetype_inner': None, 'name': 'Bush Encroachment and Land Cover Change', 'package_id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000099', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'South African Environmental Observation Network', 'position_name': 'Organisation', 'role': 'resource_provider', 'website': 'catalogue.saeon.ac.za'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': '', 'delivery_point': '', 'postal_code': ''}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Imagery-Basemaps-Earth Cover', 'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'aboveground woody biomass', 'id': 'd70e9ece-6f66-425c-b968-27d8ca0e9b6f', 'name': 'aboveground woody biomass', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'bush encroachment', 'id': '28f6b44a-fc87-4a0f-99a9-0fe35f0778f7', 'name': 'bush encroachment', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'degradation', 'id': 'e36648ca-0354-47e6-82bc-4f6ca1e9a481', 'name': 'degradation', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'grass encroachment', 'id': '64d2ab52-5e98-4ee4-b682-f5ed25153868', 'name': 'grass encroachment', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'habitat loss', 'id': '4f029253-c65b-4fcd-a869-8275ae9723d6', 'name': 'habitat loss', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'landcover', 'id': '54b45451-0abb-47f6-81c5-47d06954721b', 'name': 'landcover', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'perturbation', 'id': '4993162e-83c9-4d6c-9ed2-4264eb57550c', 'name': 'perturbation', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'restoration', 'id': 'eba4a3e7-e03c-45d7-b834-6d5f5b1b503a', 'name': 'restoration', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'vegetation type', 'id': 'ff1a6433-60ae-47f9-be2c-4fe1b6a51655', 'name': 'vegetation type', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'imageryBaseMapsEarthCover'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': [], 'reference_date': '2018-01-01T00:00'} |
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| pkg_dict | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/BEA.DATA.10000099', 'featured': 'false', 'id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'Landcover data entries were obtained from Landsat satellite images used to generate landcover information into 72 landcover types; vegetation type is collected by SANBI; Aboveground woody biomass (carbon values) collected from high resolution data in the Savannah (CSIR- DMt/ha at 100m resolution) or from lower resolution data for the rest of the country (1km).', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-16T11:53:36.431154', 'metadata_date': '2023-06-23T00:00', 'metadata_modified': '2025-10-16T11:56:14.253772', 'metadata_thumbnail': '', 'name': 'bush_encroachment_and_land_cover_change', 'notes': 'The dataset shows landcover change between 1990 (lcov_1990) and 2013 (lcov_2013). Attribute information includes ; pagenumber, mapcode12 (vegetation type), dn_new (aboveground carbon values-DMt/ha), lcov_1990, lcov_2013, parent1990 (general landcover name), parent2013, old_new (landcover change), parent_old_new (landcover change by name), dn_ave_1990 (average for each landcover in 1990), dn_ave_2013, dn_ave_change (average carbon change between 1990 and 2013); and boolean information for the following: bush encroachment, grass encroachment, perturbation, degradation, restoration, habitat loss. Landcover data entries were obtained from Landsat satellite images used to generate landcover information into 72 landcover types; vegetation type is collected by SANBI; Aboveground woody biomass (carbon values) collected from high resolution data in the Savannah (CSIR- DMt/ha at 100m resolution) or from lower resolution data for the rest of the country (1km).', 'num_resources': 1, 'num_tags': 10, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.48, -34.8], [32.9, -34.8], [32.9, -22.1], [16.48, -22.1], [16.48, -34.8]]]}', 'state': 'active', 'title': 'Bush Encroachment and Land Cover Change', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'Data Curation', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2018-01-01T00:00', 'reference_date_type': 2}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'metadata_standard': [{'name': 'SANS 1878-1:2011', 'version': '1.1'}], 'online_resource': [{'application_profile': '', 'description': '', 'linkage': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000099', 'name': 'Bush Encroachment and Land Cover Change'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-16T11:56:03.044528', 'description': '', 'format': 'GEOMAP', 'format_version': '', 'hash': '', 'id': 'ae0b8354-0344-4a6c-a6ec-2281da96ef1b', 'last_modified': None, 'metadata_modified': '2025-10-16T11:56:03.012500', 'mimetype': None, 'mimetype_inner': None, 'name': 'Bush Encroachment and Land Cover Change', 'package_id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000099', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'South African Environmental Observation Network', 'position_name': 'Organisation', 'role': 'resource_provider', 'website': 'catalogue.saeon.ac.za'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': '', 'delivery_point': '', 'postal_code': ''}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Imagery-Basemaps-Earth Cover', 'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'aboveground woody biomass', 'id': 'd70e9ece-6f66-425c-b968-27d8ca0e9b6f', 'name': 'aboveground woody biomass', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'bush encroachment', 'id': '28f6b44a-fc87-4a0f-99a9-0fe35f0778f7', 'name': 'bush encroachment', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'degradation', 'id': 'e36648ca-0354-47e6-82bc-4f6ca1e9a481', 'name': 'degradation', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'grass encroachment', 'id': '64d2ab52-5e98-4ee4-b682-f5ed25153868', 'name': 'grass encroachment', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'habitat loss', 'id': '4f029253-c65b-4fcd-a869-8275ae9723d6', 'name': 'habitat loss', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'landcover', 'id': '54b45451-0abb-47f6-81c5-47d06954721b', 'name': 'landcover', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'perturbation', 'id': '4993162e-83c9-4d6c-9ed2-4264eb57550c', 'name': 'perturbation', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'restoration', 'id': 'eba4a3e7-e03c-45d7-b834-6d5f5b1b503a', 'name': 'restoration', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'vegetation type', 'id': 'ff1a6433-60ae-47f9-be2c-4fe1b6a51655', 'name': 'vegetation type', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'imageryBaseMapsEarthCover'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': [], 'reference_date': '2018-01-01T00:00'} |
| request | <Request 'http://saeoss.sansa.org.za/dataset/groups/008cf5d6-83c0-4cfa-b833-7b04808d84c4' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793468851.56214, '_creation_time': 1793468851.56214} |
| ungettext | <function ungettext at 0x7fd09175f670> |
The toolbar was unable to fetch the SQLAlchemy queries for this request. To enable the SQLAlchemy query display, please:
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| URL route | Endpoint name | HTTP methods | Is alias | Redirect to |
|---|---|---|---|---|
| / | home.index | GET, HEAD, OPTIONS | False | None |
| /<path:filename> | static | GET, HEAD, OPTIONS | False | None |
| /about | home.about | GET, HEAD, OPTIONS | False | None |
| /about/ | about.index | GET, HEAD, OPTIONS | False | None |
| /api/ | api.get_api | GET, HEAD, OPTIONS | False | None |
| /api/2/rest/harvestobject/<id>/html | spatial_harvest_metadata.harvest_object_redirect_html | GET, HEAD, OPTIONS | False | None |
| /api/2/rest/harvestobject/<id>/xml | spatial_harvest_metadata.harvest_object_redirect_xml | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=2):ver>/i18n/<lang> | api.i18n_js_translations | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=2):ver>/util/dataset/autocomplete | api.dataset_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=2):ver>/util/group/autocomplete | api.group_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=2):ver>/util/organization/autocomplete | api.organization_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=2):ver>/util/resource/format_autocomplete | api.format_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=2):ver>/util/snippet/<snippet_path> | api.snippet | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=2):ver>/util/tag/autocomplete | api.tag_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=2):ver>/util/user/autocomplete | api.user_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=3):ver> | api.get_api | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=3, max=3):ver>/action/<logic_function> | api.action | GET, HEAD, OPTIONS, POST | False | None |
| /api/action/<logic_function> | api.action | GET, HEAD, OPTIONS, POST | False | None |
| /api/i18n/<lang> | api.i18n_js_translations | GET, HEAD, OPTIONS | False | None |
| /api/util/dataset/autocomplete | api.dataset_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/util/group/autocomplete | api.group_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/util/organization/autocomplete | api.organization_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/util/resource/format_autocomplete | api.format_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/util/snippet/<snippet_path> | api.snippet | GET, HEAD, OPTIONS | False | None |
| /api/util/tag/autocomplete | api.tag_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/util/user/autocomplete | api.user_autocomplete | GET, HEAD, OPTIONS | False | None |
| /basemap_service/<map_id> | service_proxy.proxy_service_url | GET, HEAD, OPTIONS | False | None |
| /blog | pages.blog_index | GET, HEAD, OPTIONS | False | None |
| /blog/<page> | pages.blog_show | GET, HEAD, OPTIONS | False | None |
| /blog_delete/<page> | pages.blog_delete | GET, HEAD, OPTIONS, POST | False | None |
| /blog_edit | pages.blog_new | GET, HEAD, OPTIONS, POST | False | None |
| /blog_edit/ | pages.blog_new | GET, HEAD, OPTIONS, POST | False | None |
| /blog_edit/<page> | pages.blog_edit | GET, HEAD, OPTIONS, POST | False | None |
| /ckan-admin/ | admin.index | GET, HEAD, OPTIONS | False | None |
| /ckan-admin/config | admin.config | GET, HEAD, OPTIONS, POST | False | None |
| /ckan-admin/reset_config | admin.reset_config | GET, HEAD, OPTIONS, POST | False | None |
| /ckan-admin/trash | admin.trash | GET, HEAD, OPTIONS, POST | False | None |
| /contact/ | contact.index | GET, HEAD, OPTIONS | False | None |
| /dashboard/ | dashboard.index | GET, HEAD, OPTIONS | False | None |
| /dashboard/<int:offset> | dashboard.index | GET, HEAD, OPTIONS | False | None |
| /dashboard/datasets | dashboard.datasets | GET, HEAD, OPTIONS | False | None |
| /dashboard/groups | dashboard.groups | GET, HEAD, OPTIONS | False | None |
| /dashboard/organizations | dashboard.organizations | GET, HEAD, OPTIONS | False | None |
| /dataset/ | dataset.search | GET, HEAD, OPTIONS | False | None |
| /dataset/<id> | dataset.read | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/history | dataset.history | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id> | dataset_resource.read | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id> | resource.read | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/delete | dataset_resource.delete | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/<resource_id>/delete | resource.delete | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/<resource_id>/download | dataset_resource.download | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/download | resource.download | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/download/<filename> | dataset_resource.download | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/download/<filename> | resource.download | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/edit | dataset_resource.edit | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/<resource_id>/edit | resource.edit | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/<resource_id>/edit_view/<view_id> | dataset_resource.edit_view | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/<resource_id>/edit_view/<view_id> | resource.edit_view | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/<resource_id>/embed | dataset_resource.embedded_dataviewer | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/embed | resource.embedded_dataviewer | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/new_view | dataset_resource.edit_view | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/<resource_id>/new_view | resource.edit_view | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/<resource_id>/preview | dataset_resource.datapreview | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/preview | resource.datapreview | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/proxy | resource_proxy.proxy_view | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/service_proxy | service_proxy.proxy_service | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/view | dataset_resource.view | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/view | resource.view | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/view/<view_id> | dataset_resource.view | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/view/<view_id> | resource.view | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/viewer | dataset_resource.embedded_dataviewer | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/viewer | resource.embedded_dataviewer | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/views | dataset_resource.views | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/views | resource.views | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/new | dataset_resource.new | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/new | resource.new | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource_edit/<resource_id> | dataset.EditView | GET, HEAD, OPTIONS | False | None |
| /dataset/activity/<id> | dataset.activity | GET, HEAD, OPTIONS | False | None |
| /dataset/changes/<id> | dataset.changes | GET, HEAD, OPTIONS | False | None |
| /dataset/changes_multiple | dataset.changes_multiple | GET, HEAD, OPTIONS | False | None |
| /dataset/delete/<id> | dataset.delete | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/edit/<id> | dataset.edit | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/file_parser/ | file_parser.extract_files | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/follow/<id> | dataset.follow | OPTIONS, POST | False | None |
| /dataset/followers/<id> | dataset.followers | GET, HEAD, OPTIONS | False | None |
| /dataset/groups/<id> | dataset.groups | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/harvest_object/<id> | harvester.object_show | GET, HEAD, OPTIONS | False | None |
| /dataset/new | dataset.new | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/new_resource/<id> | dataset.CreateView | GET, HEAD, OPTIONS | False | None |
| /dataset/resources/<id> | dataset.resources | GET, HEAD, OPTIONS | False | None |
| /dataset/unfollow/<id> | dataset.unfollow | OPTIONS, POST | False | None |
| /feeds/custom.atom | feeds.custom | GET, HEAD, OPTIONS | False | None |
| /feeds/dataset.atom | feeds.general | GET, HEAD, OPTIONS | False | None |
| /feeds/group/<string:id>.atom | feeds.group | GET, HEAD, OPTIONS | False | None |
| /feeds/organization/<string:id>.atom | feeds.organization | GET, HEAD, OPTIONS | False | None |
| /feeds/tag/<string:id>.atom | feeds.tag | GET, HEAD, OPTIONS | False | None |
| /group/ | group.index | GET, HEAD, OPTIONS | False | None |
| /group/<id> | group.read | GET, HEAD, OPTIONS | False | None |
| /group/about/<id> | group.about | GET, HEAD, OPTIONS | False | None |
| /group/activity/<id> | group.activity | GET, HEAD, OPTIONS, POST | False | None |
| /group/activity/<id>/<int:offset> | group.activity | GET, HEAD, OPTIONS | False | None |
| /group/admins/<id> | group.admins | GET, HEAD, OPTIONS, POST | False | None |
| /group/bulk_process/<id> | group.bulk_process | GET, HEAD, OPTIONS, POST | False | None |
| /group/delete/<id> | group.delete | GET, HEAD, OPTIONS, POST | False | None |
| /group/edit/<id> | group.edit | GET, HEAD, OPTIONS, POST | False | None |
| /group/follow/<id> | group.follow | GET, HEAD, OPTIONS, POST | False | None |
| /group/followers/<id> | group.followers | GET, HEAD, OPTIONS, POST | False | None |
| /group/history/<id> | group.history | GET, HEAD, OPTIONS, POST | False | None |
| /group/member_delete/<id> | group.member_delete | GET, HEAD, OPTIONS, POST | False | None |
| /group/member_new/<id> | group.member_new | GET, HEAD, OPTIONS, POST | False | None |
| /group/members/<id> | group.members | GET, HEAD, OPTIONS, POST | False | None |
| /group/new | group.new | GET, HEAD, OPTIONS, POST | False | None |
| /group/pages/<id> | pages.group_pages_index | GET, HEAD, OPTIONS | False | None |
| /group/pages/<id>/<page> | pages.group_pages_show | GET, HEAD, OPTIONS | False | None |
| /group/pages_delete/<id>/<page> | pages.group_pages_delete | GET, HEAD, OPTIONS, POST | False | None |
| /group/pages_edit/<id> | pages.group_pages_new | GET, HEAD, OPTIONS, POST | False | None |
| /group/pages_edit/<id>/ | pages.group_pages_new | GET, HEAD, OPTIONS, POST | False | None |
| /group/pages_edit/<id>/<page> | pages.group_pages_edit | GET, HEAD, OPTIONS, POST | False | None |
| /group/unfollow/<id> | group.unfollow | GET, HEAD, OPTIONS, POST | False | None |
| /harvest/ | harvest.search | GET, HEAD, OPTIONS | False | None |
| /harvest/<id> | harvest.read | GET, HEAD, OPTIONS | False | None |
| /harvest/<id>/history | harvest.history | GET, HEAD, OPTIONS | False | None |
| /harvest/<id>/resource/<resource_id> | harvest_resource.read | GET, HEAD, OPTIONS | False | None |
| /harvest/<id>/resource/<resource_id>/delete | harvest_resource.delete | GET, HEAD, OPTIONS, POST | False | None |
| /harvest/<id>/resource/<resource_id>/download | harvest_resource.download | GET, HEAD, OPTIONS | False | None |
| /harvest/<id>/resource/<resource_id>/download/<filename> | harvest_resource.download | GET, HEAD, OPTIONS | False | None |
| /harvest/<id>/resource/<resource_id>/edit | harvest_resource.edit | GET, HEAD, OPTIONS, POST | False | None |
| /harvest/<id>/resource/<resource_id>/edit_view/<view_id> | harvest_resource.edit_view | GET, HEAD, OPTIONS, POST | False | None |
| /harvest/<id>/resource/<resource_id>/embed | harvest_resource.embedded_dataviewer | GET, HEAD, OPTIONS | False | None |
| /harvest/<id>/resource/<resource_id>/new_view | harvest_resource.edit_view | GET, HEAD, OPTIONS, POST | False | None |
| /harvest/<id>/resource/<resource_id>/preview | harvest_resource.datapreview | GET, HEAD, OPTIONS | False | None |
| /harvest/<id>/resource/<resource_id>/view | harvest_resource.view | GET, HEAD, OPTIONS | False | None |
| /harvest/<id>/resource/<resource_id>/view/<view_id> | harvest_resource.view | GET, HEAD, OPTIONS | False | None |
| /harvest/<id>/resource/<resource_id>/viewer | harvest_resource.embedded_dataviewer | GET, HEAD, OPTIONS | False | None |
| /harvest/<id>/resource/<resource_id>/views | harvest_resource.views | GET, HEAD, OPTIONS | False | None |
| /harvest/<id>/resource/new | harvest_resource.new | GET, HEAD, OPTIONS, POST | False | None |
| /harvest/<id>/resource_edit/<resource_id> | harvest.EditView | GET, HEAD, OPTIONS | False | None |
| /harvest/<source>/job | harvester.job_list | GET, HEAD, OPTIONS | False | None |
| /harvest/<source>/job/<id> | harvester.job_show | GET, HEAD, OPTIONS | False | None |
| /harvest/<source>/job/<id>/abort | harvester.job_abort | GET, HEAD, OPTIONS | False | None |
| /harvest/<source>/job/last | harvester.job_show_last | GET, HEAD, OPTIONS | False | None |
| /harvest/about/<id> | harvester.about | GET, HEAD, OPTIONS | False | None |
| /harvest/activity/<id> | harvest.activity | GET, HEAD, OPTIONS | False | None |
| /harvest/admin/<id> | harvester.admin | GET, HEAD, OPTIONS | False | None |
| /harvest/changes/<id> | harvest.changes | GET, HEAD, OPTIONS | False | None |
| /harvest/changes_multiple | harvest.changes_multiple | GET, HEAD, OPTIONS | False | None |
| /harvest/clear/<id> | harvester.clear | GET, HEAD, OPTIONS, POST | False | None |
| /harvest/delete/<id> | harvester.delete | GET, HEAD, OPTIONS | False | None |
| /harvest/delete/<id> | harvest.delete | GET, HEAD, OPTIONS, POST | False | None |
| /harvest/edit/<id> | harvest.edit | GET, HEAD, OPTIONS, POST | False | None |
| /harvest/follow/<id> | harvest.follow | OPTIONS, POST | False | None |
| /harvest/followers/<id> | harvest.followers | GET, HEAD, OPTIONS | False | None |
| /harvest/groups/<id> | harvest.groups | GET, HEAD, OPTIONS, POST | False | None |
| /harvest/new | harvest.new | GET, HEAD, OPTIONS, POST | False | None |
| /harvest/new_resource/<id> | harvest.CreateView | GET, HEAD, OPTIONS | False | None |
| /harvest/object/<id> | harvester.object_show | GET, HEAD, OPTIONS | False | None |
| /harvest/object/<id>/html | spatial_harvest_metadata.display_html | GET, HEAD, OPTIONS | False | None |
| /harvest/object/<id>/html/original | spatial_harvest_metadata.display_html_original | GET, HEAD, OPTIONS | False | None |
| /harvest/object/<id>/original | spatial_harvest_metadata.display_xml_original | GET, HEAD, OPTIONS | False | None |
| /harvest/refresh/<id> | harvester.refresh | GET, HEAD, OPTIONS, POST | False | None |
| /harvest/resources/<id> | harvest.resources | GET, HEAD, OPTIONS | False | None |
| /harvest/unfollow/<id> | harvest.unfollow | OPTIONS, POST | False | None |
| /map/ | map.index | GET, HEAD, OPTIONS | False | None |
| /news/ | news.index | GET, HEAD, OPTIONS | False | None |
| /news/news | news.index | GET, HEAD, OPTIONS | False | None |
| /news/news/<page> | news.news_show | GET, HEAD, OPTIONS | False | None |
| /news/news/<page> | news.news_show | GET, HEAD, OPTIONS | False | None |
| /news/news_delete/<page> | news.news_delete | GET, HEAD, OPTIONS, POST | False | None |
| /news/news_edit | news.news_new | GET, HEAD, OPTIONS, POST | False | None |
| /news/news_edit/ | news.news_edit | GET, HEAD, OPTIONS, POST | False | None |
| /news/news_edit/<page> | news.news_edit | GET, HEAD, OPTIONS, POST | False | None |
| /organization/ | organization.index | GET, HEAD, OPTIONS | False | None |
| /organization/<id> | organization.read | GET, HEAD, OPTIONS | False | None |
| /organization/about/<id> | organization.about | GET, HEAD, OPTIONS | False | None |
| /organization/activity/<id> | organization.activity | GET, HEAD, OPTIONS, POST | False | None |
| /organization/activity/<id>/<int:offset> | organization.activity | GET, HEAD, OPTIONS | False | None |
| /organization/admins/<id> | organization.admins | GET, HEAD, OPTIONS, POST | False | None |
| /organization/bulk_process/<id> | organization.bulk_process | GET, HEAD, OPTIONS, POST | False | None |
| /organization/delete/<id> | organization.delete | GET, HEAD, OPTIONS, POST | False | None |
| /organization/edit/<id> | organization.edit | GET, HEAD, OPTIONS, POST | False | None |
| /organization/follow/<id> | organization.follow | GET, HEAD, OPTIONS, POST | False | None |
| /organization/followers/<id> | organization.followers | GET, HEAD, OPTIONS, POST | False | None |
| /organization/history/<id> | organization.history | GET, HEAD, OPTIONS, POST | False | None |
| /organization/member_delete/<id> | organization.member_delete | GET, HEAD, OPTIONS, POST | False | None |
| /organization/member_new/<id> | organization.member_new | GET, HEAD, OPTIONS, POST | False | None |
| /organization/members/<id> | organization.members | GET, HEAD, OPTIONS, POST | False | None |
| /organization/new | organization.new | GET, HEAD, OPTIONS, POST | False | None |
| /organization/pages/<id> | pages.organization_pages_index | GET, HEAD, OPTIONS | False | None |
| /organization/pages/<id>/<page> | pages.organization_pages_show | GET, HEAD, OPTIONS | False | None |
| /organization/pages_delete/<id>/<page> | pages.organization_pages_delete | GET, HEAD, OPTIONS, POST | False | None |
| /organization/pages_edit/<id> | pages.organization_pages_new | GET, HEAD, OPTIONS, POST | False | None |
| /organization/pages_edit/<id>/ | pages.organization_pages_new | GET, HEAD, OPTIONS, POST | False | None |
| /organization/pages_edit/<id>/<page> | pages.organization_pages_edit | GET, HEAD, OPTIONS, POST | False | None |
| /organization/unfollow/<id> | organization.unfollow | GET, HEAD, OPTIONS, POST | False | None |
| /pages | pages.index | GET, HEAD, OPTIONS | False | None |
| /pages/<page> | pages.show | GET, HEAD, OPTIONS | False | None |
| /pages_delete/<page> | pages.delete | GET, HEAD, OPTIONS, POST | False | None |
| /pages_edit | pages.new | GET, HEAD, OPTIONS, POST | False | None |
| /pages_edit/ | pages.new | GET, HEAD, OPTIONS, POST | False | None |
| /pages_edit/<page> | pages.edit | GET, HEAD, OPTIONS, POST | False | None |
| /pages_upload | pages.upload | OPTIONS, POST | False | None |
| /password/reset | password.request_reset | GET, HEAD, OPTIONS, POST | False | None |
| /saeoss/request_dataset_maintenance/<dataset_id> | saeoss.request_dataset_maintenance | GET, HEAD, OPTIONS | False | None |
| /saeoss/request_dataset_management/<string:dataset_id>/<string:management_command> | saeoss.request_dataset_management | GET, HEAD, OPTIONS | False | None |
| /saved_searches/ | saved_searches.index | GET, HEAD, OPTIONS | False | None |
| /saved_searches/delete_saved_search | saved_searches.delete_saved_search | GET, HEAD, OPTIONS, POST | False | None |
| /saved_searches/save_search | saved_searches.save_current_search | GET, HEAD, OPTIONS, POST | False | None |
| /sign-up/ | sign-up.sign-up-landing | GET, HEAD, OPTIONS, POST | False | None |
| /stac/<package_name>/item/<item> | stac_api.item | GET, HEAD, OPTIONS, POST | False | None |
| /stac/catalog | stac_api.catalog | GET, HEAD, OPTIONS, POST | False | None |
| /stac/collection/<package_name> | stac_api.featurecollection | GET, HEAD, OPTIONS, POST | False | None |
| /stac/collections | stac_api.collection | GET, HEAD, OPTIONS, POST | False | None |
| /stac/datasetcollection | stac_api.datasetcollection | GET, HEAD, OPTIONS, POST | False | None |
| /stac/datasetcollection-search | stac_api.datasetcollection_post | GET, HEAD, OPTIONS, POST | False | None |
| /stac/resourcecollection | stac_api.resourcecollection | GET, HEAD, OPTIONS, POST | False | None |
| /stac_harvest/ | stac_harvest.view | GET, HEAD, OPTIONS, POST | False | None |
| /stac_harvest/create/ | stac_harvest.create_stac | GET, HEAD, OPTIONS, POST | False | None |
| /stac_harvest/create_job | stac_harvest.create_job | GET, HEAD, OPTIONS, POST | False | None |
| /stac_harvest/view_jobs/ | stac_harvest.view_jobs | GET, HEAD, OPTIONS, POST | False | None |
| /stats/ | stats.index | GET, HEAD, OPTIONS | False | None |
| /testing/primer | util.primer | GET, HEAD, OPTIONS | False | None |
| /user/ | user.index | GET, HEAD, OPTIONS | False | None |
| /user/<id> | user.read | GET, HEAD, OPTIONS | False | None |
| /user/<id>/api-tokens | user.api_tokens | GET, HEAD, OPTIONS, POST | False | None |
| /user/<id>/api-tokens/<jti>/revoke | user.api_token_revoke | OPTIONS, POST | False | None |
| /user/_logout | user.logout | GET, HEAD, OPTIONS | False | None |
| /user/activity/<id> | user.activity | GET, HEAD, OPTIONS | False | None |
| /user/activity/<id>/<int:offset> | user.activity | GET, HEAD, OPTIONS | False | None |
| /user/delete/<id> | user.delete | OPTIONS, POST | False | None |
| /user/edit | user.edit | GET, HEAD, OPTIONS, POST | False | None |
| /user/edit/<id> | user.edit | GET, HEAD, OPTIONS, POST | False | None |
| /user/follow/<id> | user.follow | OPTIONS, POST | False | None |
| /user/followers/<id> | user.followers | GET, HEAD, OPTIONS | False | None |
| /user/generate_key | user.generate_apikey | OPTIONS, POST | False | None |
| /user/generate_key/<id> | user.generate_apikey | OPTIONS, POST | False | None |
| /user/logged_in | user.logged_in | GET, HEAD, OPTIONS | False | None |
| /user/logged_out | user.logged_out | GET, HEAD, OPTIONS | False | None |
| /user/logged_out_redirect | user.logged_out_page | GET, HEAD, OPTIONS | False | None |
| /user/login | user.login | GET, HEAD, OPTIONS | False | None |
| /user/me | user.me | GET, HEAD, OPTIONS | False | None |
| /user/register | user.register | GET, HEAD, OPTIONS, POST | False | None |
| /user/reset | user.request_reset | GET, HEAD, OPTIONS, POST | False | None |
| /user/reset/<id> | user.perform_reset | GET, HEAD, OPTIONS, POST | False | None |
| /user/unfollow/<id> | user.unfollow | OPTIONS, POST | False | None |
| /util/redirect | util.internal_redirect | GET, HEAD, OPTIONS, POST | False | None |
| /validator/ | validator.index | GET, HEAD, OPTIONS, POST | False | None |
| /validator/retrieve_metadata/ | validator.retrieve_metadata | GET, HEAD, OPTIONS, POST | False | None |
| /validator/validate_all/ | validator.validate_all | GET, HEAD, OPTIONS, POST | False | None |
| /validator/validate_selection/ | validator.validate_selection | GET, HEAD, OPTIONS, POST | False | None |
| /webassets/<path:path> | webassets.index | GET, HEAD, OPTIONS | False | None |
| /zh_CN/ | home.redirect_locale | GET, HEAD, OPTIONS | False | None |
| /zh_CN/<path:path> | home.redirect_locale | GET, HEAD, OPTIONS | False | None |
| /zh_TW/ | home.redirect_locale | GET, HEAD, OPTIONS | False | None |
| /zh_TW/<path:path> | home.redirect_locale | GET, HEAD, OPTIONS | False | None |