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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 | 731.905 msec |
| System CPU time | 126.067 msec |
| Total CPU time | 857.972 msec |
| Elapsed time | 1190.228 msec |
| Context switches | 98 voluntary, 572 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.resource.view | [] | id=eesl, resource_id=cd231885-84ff-4372-adcb-9a2096755eea, view_id=11fbb1ee-9a65-415c-ba4d-2c2bc1edcb0d, package_type=dataset |
| Variable | Value |
|---|
| Variable | Value |
|---|---|
| '_domain' | None |
| '_path' | '/' |
| '_accessed_time' | 1789476885.1764762 |
| '_creation_time' | 1789476885.1764762 |
| 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 0x7f836a772d30>, 'url': <function url at 0x7f836a772e50>, 'get_site_protocol_and_host': <function get_site_protocol_and_host at 0x7f836a772dc0>, 'url_for': <function url_for at 0x7f836a774040>, 'url_for_static': <function url_for_static at 0x7f836a7741f0>, 'url_for_static_or_external': <function url_for_static_or_external at 0x7f836a774280>, 'is_url': <function is_url at 0x7f836a774310>, 'url_is_local': <function url_is_local at 0x7f836a774430>, 'full_current_url': <function full_current_url at 0x7f836a7744c0>, 'current_url': <function current_url at 0x7f836a774550>, 'lang': <function lang at 0x7f836a7745e0>, 'ckan_version': <function ckan_version at 0x7f836a774670>, 'lang_native_name': <function lang_native_name at 0x7f836a774700>, 'is_rtl_language': <function is_rtl_language at 0x7f836a774790>, 'get_rtl_theme': <function get_rtl_theme at 0x7f836a774820>, 'get_rtl_css': <function get_rtl_css at 0x7f836a7748b0>, 'flash_notice': <function flash_notice at 0x7f836a774940>, 'flash_error': <function flash_error at 0x7f836a774dc0>, 'flash_success': <function flash_success at 0x7f836a774e50>, 'are_there_flash_messages': <function are_there_flash_messages at 0x7f836a774ee0>, 'link_to': <function link_to at 0x7f836a6f53a0>, 'file': <function file at 0x7f836a6f5430>, 'submit': <function submit at 0x7f836a6f54c0>, 'nav_link': <function nav_link at 0x7f836a6f5550>, 'nav_named_link': <function nav_named_link at 0x7f836a6f5820>, 'subnav_link': <function subnav_link at 0x7f836a6f5940>, 'subnav_named_route': <function subnav_named_route at 0x7f836a6f5a60>, 'build_nav_main': <function build_pages_nav_main at 0x7f834dc4cf70>, 'build_nav_icon': <function build_nav_icon at 0x7f836a6f5af0>, 'build_nav': <function build_nav at 0x7f836a6f5b80>, 'build_extra_admin_nav': <function build_extra_admin_nav at 0x7f836a6f5ca0>, 'default_group_type': <function default_group_type at 0x7f836a6f5dc0>, 'get_facet_items_dict': <function 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'dict_list_reduce': <function dict_list_reduce at 0x7f836a6f69d0>, 'gravatar': <function gravatar at 0x7f836a6f6a60>, 'sanitize_url': <function sanitize_url at 0x7f836a6f6af0>, 'user_image': <function user_image at 0x7f836a6f6b80>, 'pager_url': <function pager_url at 0x7f836a6f6c10>, 'get_page_number': <function get_page_number at 0x7f836a6f6ca0>, 'get_display_timezone': <function get_display_timezone at 0x7f836a6f6d30>, 'render_datetime': <function render_datetime at 0x7f836a6f6dc0>, 'date_str_to_datetime': <function date_str_to_datetime at 0x7f836a6f6e50>, 'parse_rfc_2822_date': <function parse_rfc_2822_date at 0x7f836a6f6ee0>, 'time_ago_from_timestamp': <function time_ago_from_timestamp at 0x7f836a6f6f70>, 'button_attr': <function button_attr at 0x7f836a6f7280>, 'dataset_display_name': <function dataset_display_name at 0x7f836a6f7310>, 'dataset_link': <function dataset_link at 0x7f836a6f73a0>, 'resource_display_name': <function resource_display_name at 0x7f836a6f7430>, 'resource_link': <function resource_link at 0x7f836a6f74c0>, 'tag_link': <function tag_link at 0x7f836a6f7550>, 'group_link': <function group_link at 0x7f836a6f75e0>, 'organization_link': <function organization_link at 0x7f836a6f7670>, 'dump_json': <function dump_json at 0x7f836a6f7700>, 'auto_log_message': <function auto_log_message at 0x7f836a6f7790>, 'activity_div': <function activity_div at 0x7f836a6f7820>, 'snippet': <function snippet at 0x7f836a6f78b0>, 'convert_to_dict': <function convert_to_dict at 0x7f836a6f7940>, 'follow_button': <function follow_button at 0x7f836a6f79d0>, 'follow_count': <function follow_count at 0x7f836a6f7a60>, 'add_url_param': <function add_url_param at 0x7f836a6f7b80>, 'remove_url_param': <function remove_url_param at 0x7f836a6f7c10>, 'include_resource': <function include_resource at 0x7f836a6f7ca0>, 'urls_for_resource': <function urls_for_resource at 0x7f836a6f7d30>, 'debug_inspect': <function debug_inspect at 0x7f836a6f7dc0>, 'popular': <function popular at 0x7f836a6f7e50>, 'groups_available': <function groups_available at 0x7f836a6f7ee0>, 'organizations_available': <function organizations_available at 0x7f836a6f7f70>, 'roles_translated': <function roles_translated at 0x7f836a6f8040>, 'user_in_org_or_group': <function user_in_org_or_group at 0x7f836a6f80d0>, 'dashboard_activity_stream': <function dashboard_activity_stream at 0x7f836a6f8160>, 'recently_changed_packages_activity_stream': <function recently_changed_packages_activity_stream at 0x7f836a6f81f0>, 'escape_js': <function escape_js at 0x7f836a6f8280>, 'get_pkg_dict_extra': <function get_pkg_dict_extra at 0x7f836a6f8310>, 'get_request_param': <function get_request_param at 0x7f836a6f83a0>, 'html_auto_link': <function html_auto_link at 0x7f836a6f8430>, 'render_markdown': <function render_markdown at 0x7f836a6f84c0>, 'format_resource_items': <function format_resource_items at 0x7f836a6f8550>, 'resource_preview': <function resource_preview at 0x7f836a6f85e0>, 'get_allowed_view_types': <function get_allowed_view_types at 0x7f836a6f8670>, 'rendered_resource_view': <function rendered_resource_view at 0x7f836a6f8700>, 'view_resource_url': <bound method ResourceProxy.view_resource_url of <Plugin ResourceProxy 'resource_proxy'>>, 'resource_view_is_filterable': <function resource_view_is_filterable at 0x7f836a6f8820>, 'resource_view_get_fields': <function resource_view_get_fields at 0x7f836a6f88b0>, 'resource_view_is_iframed': <function resource_view_is_iframed at 0x7f836a6f8940>, 'resource_view_icon': <function resource_view_icon at 0x7f836a6f89d0>, 'resource_view_display_preview': <function resource_view_display_preview at 0x7f836a6f8a60>, 'resource_view_full_page': <function resource_view_full_page at 0x7f836a6f8af0>, 'remove_linebreaks': <function remove_linebreaks at 0x7f836a6f8b80>, 'list_dict_filter': <function list_dict_filter at 0x7f836a6f8c10>, 'SI_number_span': <function SI_number_span at 0x7f836a6f8ca0>, 'new_activities': <function new_activities at 0x7f836a6f8d30>, 'uploads_enabled': <function uploads_enabled at 0x7f836a6f8dc0>, 'get_featured_organizations': <function get_featured_organizations at 0x7f836a6f8e50>, 'get_featured_groups': <function get_featured_groups at 0x7f836a6f8ee0>, 'featured_group_org': <function featured_group_org at 0x7f836a6f8f70>, 'get_site_statistics': <function get_site_statistics at 0x7f836a6f9040>, 'resource_formats': <function resource_formats at 0x7f836a6f90d0>, 'unified_resource_format': <function unified_resource_format at 0x7f836a6f9160>, 'check_config_permission': <function check_config_permission at 0x7f836a6f91f0>, 'get_organization': <function get_organization at 0x7f836a6f9280>, 'license_options': <function license_options at 0x7f836a6f9310>, 'get_translated': <function get_translated at 0x7f836a6f93a0>, 'facets': <function facets at 0x7f836a6f9430>, 'mail_to': <function mail_to at 0x7f836a6f94c0>, 'radio': <function radio at 0x7f836a6f9550>, 'clean_html': <function clean_html at 0x7f836a6f95e0>, 'flash': <ckan.lib.helpers._Flash object at 0x7f836a761a00>, 'localised_number': <function localised_number at 0x7f836b9a8310>, 'localised_SI_number': <function localised_SI_number at 0x7f836b9a8430>, 'localised_nice_date': <function localised_nice_date at 0x7f836b9a81f0>, 'localised_filesize': <function localised_filesize at 0x7f836b9a83a0>, 'get_available_locales': <function get_available_locales at 0x7f836cafbca0>, 'get_locales_dict': <function get_locales_dict at 0x7f836cafbc10>, 'literal': <class 'ckan.lib.helpers.literal'>, 'asbool': <function asbool at 0x7f836cc00ee0>, 'urlencode': <function urlencode at 0x7f836e7c1ca0>, 'include_asset': <function include_asset at 0x7f836a772820>, 'render_assets': <function render_assets at 0x7f836a772940>, 'sanitize_id': <function sanitize_id at 0x7f836a6f9700>, 'compare_pkg_dicts': <function compare_pkg_dicts at 0x7f836a6f9790>, 'activity_list_select': <function activity_list_select at 0x7f836a6f9820>, 'get_collaborators': <function get_collaborators at 0x7f836a6f98b0>, 'can_update_owner_org': <function can_update_owner_org at 0x7f836a6f9940>, 'check_ckan_version': <function check_ckan_version at 0x7f836a6f99d0>, 'csrf_input': <function csrf_input at 0x7f836a6f9a60>, 'saeoss_default_spatial_search_extent': functools.partial(<function get_default_spatial_search_extent at 0x7f834d576dc0>, 0.001), 'default_bounding_box': <function get_default_bounding_box at 0x7f834d576e50>, 'convert_geojson_to_bounding_box': <function convert_geojson_to_bbox at 0x7f834d576ee0>, 'extent_to_bbox': <function convert_string_extent_to_bbox at 0x7f834d576f70>, 'saeoss_themes': <function get_saeoss_themes at 0x7f834d5b94c0>, 'iso_topic_categories': <function get_iso_topic_categories at 0x7f834d576ca0>, 'get_iso_topic_display': <function get_iso_topic_display at 0x7f834d576d30>, 'saeoss_show_version': <function helper_show_version at 0x7f834d54f040>, 'user_is_org_member': <function user_is_org_member at 0x7f834d54f0d0>, 'org_member_list': <function org_member_list at 0x7f834d54f160>, 'user_is_staff_member': <function user_is_staff_member at 0x7f834d54f1f0>, 'get_featured_datasets': <function get_featured_datasets at 0x7f834d54f310>, 'get_recently_modified_datasets': <function get_recently_modified_datasets at 0x7f834d54f430>, 'get_all_datasets_count': <function get_all_datasets_count at 0x7f834d54f4c0>, 'saeoss_org_memberships': <function get_org_memberships at 0x7f834d54f790>, 'mod_scheming_flatten_subfield': <function mod_scheming_flatten_subfield at 0x7f834d54f820>, 'get_today_date': <function get_today_date at 0x7f834d54f940>, 'get_maintenance_custom_other_field_data': <function get_maintenance_custom_other_field_data at 0x7f834d54f8b0>, 'get_release': <function get_current_release at 0x7f834d54f9d0>, 'get_saved_searches': <function get_saved_searches at 0x7f834d54faf0>, 'get_recent_news': <function get_recent_news at 0x7f834d54fd30>, 'get_featured_datasets_count': <function get_featured_datasets_count at 0x7f834d54f3a0>, 'get_user_name': <function get_user_name at 0x7f834d54fb80>, 'get_user_name_from_url': <function get_user_name_from_url at 0x7f834d54fca0>, 'get_user_id': <function get_user_id at 0x7f834d54fc10>, 'get_seo_metatags': <function get_seo_metatags at 0x7f834d54fdc0>, 'get_datasets_thumbnail': <function get_datasets_thumbnail at 0x7f834d54f670>, 'get_year': <function get_year at 0x7f834d54fe50>, 'get_user_dashboard_packages': <function get_user_dashboard_packages at 0x7f834d54fee0>, 'get_org_public_records_count': <function get_org_public_records_count at 0x7f834d54f5e0>, 'group_package_count': <function group_package_count at 0x7f834d54f550>, 'render_content': <function render_content at 0x7f834dc695e0>, 'get_wysiwyg_editor': <function get_wysiwyg_editor at 0x7f834dc74b80>, 'get_recent_blog_posts': <function get_recent_blog_posts at 0x7f834dc74c10>, 'pages_get_plus_icon': <function get_plus_icon at 0x7f834dc74ca0>, 'scheming_language_text': <function scheming_language_text at 0x7f834dd2dd30>, 'scheming_field_choices': <function scheming_field_choices at 0x7f834dd2ddc0>, 'scheming_choices_label': <function scheming_choices_label at 0x7f834dd2de50>, 'scheming_datastore_choices': <function scheming_datastore_choices at 0x7f834dd2dee0>, 'scheming_field_required': <function scheming_field_required at 0x7f834dd2db80>, 'scheming_dataset_schemas': <function scheming_dataset_schemas at 0x7f834dd2df70>, 'scheming_get_presets': <function scheming_get_presets at 0x7f834dd2dc10>, 'scheming_get_preset': <function scheming_get_preset at 0x7f834dca2040>, 'scheming_get_dataset_schema': <function scheming_get_dataset_schema at 0x7f834dca20d0>, 'scheming_get_dataset_form_pages': <function scheming_get_dataset_form_pages at 0x7f834dca2160>, 'scheming_group_schemas': <function scheming_group_schemas at 0x7f834dca21f0>, 'scheming_get_group_schema': <function scheming_get_group_schema at 0x7f834dca2280>, 'scheming_organization_schemas': <function scheming_organization_schemas at 0x7f834dca2310>, 'scheming_get_organization_schema': <function scheming_get_organization_schema at 0x7f834dca23a0>, 'scheming_get_schema': <function scheming_get_schema at 0x7f834dca2430>, 'scheming_field_by_name': <function scheming_field_by_name at 0x7f834dca24c0>, 'scheming_datetime_to_utc': <function scheming_datetime_to_utc at 0x7f834dca25e0>, 'scheming_datetime_to_tz': <function scheming_datetime_to_tz at 0x7f834dca2670>, 'scheming_get_timezones': <function scheming_get_timezones at 0x7f834dca2700>, 'scheming_display_json_value': <function scheming_display_json_value at 0x7f834dca2790>, 'scheming_render_from_string': <function scheming_render_from_string at 0x7f834dca2820>, 'scheming_flatten_subfield': <function scheming_flatten_subfield at 0x7f834dca28b0>, 'get_common_map_config_shp': <function get_common_map_config at 0x7f834dd0b670>, 'get_shapefile_viewer_config': <function get_shapefile_viewer_config at 0x7f834dd0b700>, 'get_common_map_config_wmts': <function get_common_map_config at 0x7f834dd0b670>, 'get_common_map_config_geojson': <function get_common_map_config at 0x7f834dd0b670>, 'geojson_get_max_file_size': <function get_max_file_size at 0x7f834dd0b790>, 'get_common_map_config_geoviews': <function get_common_map_config at 0x7f834dd0b670>, 'get_openlayers_viewer_config': <function get_openlayers_viewer_config at 0x7f834dd0b820>, 'get_reference_date': <function get_reference_date at 0x7f8343d03af0>, 'get_responsible_party': <function get_responsible_party at 0x7f8343d03b80>, 'get_common_map_config': <function get_common_map_config at 0x7f8343d03c10>, 'package_list_for_source': <function package_list_for_source at 0x7f8343d03e50>, 'package_count_for_source': <function package_count_for_source at 0x7f8343d03ee0>, 'harvesters_info': <function harvesters_info at 0x7f8343d03f70>, 'harvester_types': <function harvester_types at 0x7f8343d0e040>, 'harvest_frequencies': <function harvest_frequencies at 0x7f8343d0e0d0>, 'link_for_harvest_object': <function link_for_harvest_object at 0x7f8343d0e160>, 'harvest_source_extra_fields': <function harvest_source_extra_fields at 0x7f8343d0e1f0>, 'bootstrap_version': <function bootstrap_version at 0x7f8343d0e280>, 'get_harvest_source': <function get_harvest_source at 0x7f8343d03dc0>, 'get_map_config': <function get_mapview_config at 0x7f8368570550>, 'get_dataproxy_url': <function get_dataproxy_url at 0x7f83685705e0>} |
| 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'> |
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| name | 'featured' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Settlement&tags=bathymetry&tags=hydrographic&tags=Optimum+growth+area&organization=sansa&tags=Farming' [GET]> |
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| session | {'_domain': None, '_path': '/', '_accessed_time': 1789476880.440256, '_creation_time': 1789476880.440256} |
| title | 'Featured Metadata records' |
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| name | 'topic_and_saeoss_themes' |
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| name | 'tags' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Settlement&tags=bathymetry&tags=hydrographic&tags=Optimum+growth+area&organization=sansa&tags=Farming' [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': 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| session | {'_domain': None, '_path': '/', '_accessed_time': 1789476880.440256, '_creation_time': 1789476880.440256} |
| title | 'Tags' |
| ungettext | <function ungettext at 0x7f836cc00670> |
| 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). 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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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. 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This cool climate species grows optimally at MATs ranging from 14 - 17 degree Celsius and MAPs > 725 mm (Kunz, 2004).', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T09:56:44.152758', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T09:59:18.993025', 'metadata_thumbnail': '', 'name': 'climatically_suitable_growth_areas_for_eucalyptus_badjensis', 'notes': 'Eucalyptus badjensis, or the commonly named Badger Gum, is a medium to fast growing tall and low maintenance tree which can withstand low to moderate soil moisture (Australia plants, 2004). 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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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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/NRF.SAIAB.20232509', 'featured': 'false', 'id': '9443de7a-7bf5-46e9-b05b-a457c4ce3486', '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': '2025-09-11T14:01:12.019504', 'metadata_date': '202301-02-07T00:00', 'metadata_modified': '2025-09-12T08:45:39.553236', 'metadata_thumbnail': '', 'name': 'bathymetry_data_collected_from_ballito_birthday_november_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 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. 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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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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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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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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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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 cool climate species grows optimally at MATs ranging from 14 - 17 degree Celsius and MAPs > 725 mm (Kunz, 2004).', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T09:56:44.152758', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T09:59:18.993025', 'metadata_thumbnail': '', 'name': 'climatically_suitable_growth_areas_for_eucalyptus_badjensis', 'notes': 'Eucalyptus badjensis, or the commonly named Badger Gum, is a medium to fast growing tall and low maintenance tree which can withstand low to moderate soil moisture (Australia plants, 2004). 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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 benthamii', '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.10000035', 'name': 'Climatically Suitable Growth Areas for Eucalyptus benthamii'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-17T09:12:14.652792', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': '15c38271-ed04-432b-9f2a-122f10510441', 'last_modified': None, 'metadata_modified': '2025-10-17T09:12:14.646039', 'mimetype': None, 'mimetype_inner': None, 'name': 'Climatically Suitable Growth Areas for Eucalyptus benthamii', 'package_id': '334e68b0-6184-4cb2-9cc3-19a69a8e35c8', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://repository.saeon.ac.za/index.php/s/cBLgd5CLASatAEB?openfile=true', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'R.E. 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None}], 'responsible_party': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'South African Environmental Observation Network', 'position_name': 'Organisation', 'role': 'publisher', 'website': 'https://catalogue.saeon.ac.za/'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': 'Pretoria', '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': 'Bioenergy', 'id': 'ca34cd72-b5a2-4f3f-81d8-61b65cd42ef8', 'name': 'Bioenergy', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Commercial crop system', 'id': '7212f987-9a76-4d73-bf13-da41d2c5a0b1', 'name': 'Commercial crop system', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Energy', 'id': '2e773657-95fa-4b64-9488-bb790e61bcbf', 'name': 'Energy', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Farming', 'id': '0a7dc286-a500-49de-9647-3bbb4e46a0f5', 'name': 'Farming', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'agriculture', 'id': 'e9c2ba74-5eec-405f-bf77-5b0483eae3bf', 'name': 'agriculture', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'bagasse', 'id': '5d397292-d46b-4ffe-9868-986b0a4737e1', 'name': 'bagasse', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'biomass', 'id': '3599fc01-138e-449a-8618-4697ace9ddfe', 'name': 'biomass', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'fibre', 'id': 'b1727c3e-a49f-4b2e-b20f-3c339941f158', 'name': 'fibre', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'field residue', 'id': 'e3812ca4-f53d-4e3c-991b-93e27a697c52', 'name': 'field residue', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'ligno-cellulose', 'id': '1044ebdf-3fbd-400a-840a-691c46a9d0f6', 'name': 'ligno-cellulose', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'potential', 'id': '72c85e81-8819-41f9-9327-fb5418e73e31', 'name': 'potential', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'residue', 'id': '00467143-d7fa-48c1-b70f-20667c4b9fbe', 'name': 'residue', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'straw', 'id': '6fb6009f-3480-4660-a3f9-eb0e3724045a', 'name': 'straw', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'sugar cane', 'id': '8183afee-04eb-4a1b-94be-0d9cbb8a6d2c', 'name': 'sugar cane', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'farming'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []}, {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/BEA.DATA.10000082', 'featured': 'false', 'id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'Data was derived from the following sources: * CSIR was commissioned by the BioEnergy Atlas to assemble known data on solid waste production from household and commercial sources in South Africa. 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This model was used, based on StatsSA Census Data, to estimate the organic component produced by each household per planning zone (mesozone) annually. * These factors were used to disaggregate provincial production data, resulting in a value for unserviced and serviced organic wastewater from household sources to be calculated for each mesozone.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T07:12:59.317624', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T09:37:29.037486', 'metadata_thumbnail': '', 'name': 'serviced_and_unserviced_waste_water_organic_component', 'notes': 'Data was derived from the following sources: * CSIR was commissioned by the BioEnergy Atlas to assemble known data on solid waste production from household and commercial sources in South Africa. 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| remove_field | functools.partial(<function remove_field at 0x7f834dc42040>, 'dataset') |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Settlement&tags=bathymetry&tags=hydrographic&tags=Optimum+growth+area&organization=sansa&tags=Farming' [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=Settlement&tags=bathymetry&tags=hydrographic&tags=Optimum+growth+area&tags=Farming&organization=sansa' |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1789476880.440256, '_creation_time': 1789476880.440256} |
| sort_by | functools.partial(<function _sort_by at 0x7f834dc420d0>, [('tags', 'Settlement'), ('tags', 'bathymetry'), ('tags', 'hydrographic'), ('tags', 'Optimum growth area'), ('tags', 'Farming'), ('organization', 'sansa')], 'dataset') |
| sort_by_fields | [] |
| sort_by_selected | 'score desc, metadata_modified desc' |
| ungettext | <function ungettext at 0x7f836cc00670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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|---|---|
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| error | False |
| facets | Undefined |
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| placeholder | Markup('Search metadata records..') |
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| session | {'_domain': None, '_path': '/', '_accessed_time': 1789476883.3970504, '_creation_time': 1789476883.3970504} |
| show_empty | Undefined |
| sorting_selected | 'score desc, metadata_modified desc' |
| type | 'dataset' |
| ungettext | <function ungettext at 0x7f836cc00670> |
| 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 | {} |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Bioenergy&tags=SGB+systems&tags=soil+moisture&featured=true&tags=Farming' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1789476883.3970504, '_creation_time': 1789476883.3970504} |
| ungettext | <function ungettext at 0x7f836cc00670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| default_extent | '{ "type":"Polygon",\n "coordinates": [[[16.4699, -34.8212],\n [32.8931, -34.8212],\n [32.8931, -22.1265],\n [16.4699, -22.1265],\n [16.4699, -34.8212]]]}' |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Bioenergy&tags=SGB+systems&tags=soil+moisture&featured=true&tags=Farming' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1789476883.3970504, '_creation_time': 1789476883.3970504} |
| ungettext | <function ungettext at 0x7f836cc00670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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|---|---|
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| name | 'organization' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Bioenergy&tags=SGB+systems&tags=soil+moisture&featured=true&tags=Farming' [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': 1789476883.3970504, '_creation_time': 1789476883.3970504} |
| title | 'Organizations' |
| ungettext | <function ungettext at 0x7f836cc00670> |
| Variable | Value |
|---|---|
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| name | 'groups' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Bioenergy&tags=SGB+systems&tags=soil+moisture&featured=true&tags=Farming' [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': 1789476883.3970504, '_creation_time': 1789476883.3970504} |
| title | 'Groups' |
| ungettext | <function ungettext at 0x7f836cc00670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| title | 'Harvest source' |
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| title | 'Featured Metadata records' |
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| name | 'topic_and_saeoss_themes' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Bioenergy&tags=SGB+systems&tags=Settlement&featured=true&tags=aboveground+woody+biomass' [GET]> |
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| session | {'_domain': None, '_path': '/', '_accessed_time': 1789476882.0887868, '_creation_time': 1789476882.0887868} |
| title | 'Topic Category' |
| ungettext | <function ungettext at 0x7f836cc00670> |
| Variable | Value |
|---|---|
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| name | 'tags' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=Bioenergy&tags=SGB+systems&tags=Settlement&featured=true&tags=aboveground+woody+biomass' [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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| session | {'_domain': None, '_path': '/', '_accessed_time': 1789476882.0887868, '_creation_time': 1789476882.0887868} |
| title | 'Tags' |
| ungettext | <function ungettext at 0x7f836cc00670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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This model was used, based on StatsSA Census Data, to estimate the organic component produced by each household per planning zone (mesozone) annually. * These factors were used to disaggregate provincial production data, resulting in a value for unserviced and serviced organic wastewater from household sources to be calculated for each mesozone.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T07:12:59.317624', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T09:37:29.037486', 'metadata_thumbnail': '', 'name': 'serviced_and_unserviced_waste_water_organic_component', 'notes': 'Data was derived from the following sources: * CSIR was commissioned by the BioEnergy Atlas to assemble known data on solid waste production from household and commercial sources in South Africa. This data was only available at provincial aggregate level, and derives from statistics published by the Department of Water and Sanitation, or recent studies funded by them. * Data from StatsSA (Census 2011) enabled the calculation of number of households within each planning zone that were serviced at the time, with the balance unserviced. * SAEON developed a model from national and international statistics linking waste water production and composition to household income. 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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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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. 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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/NRF.SAIAB.20232512', 'featured': 'false', 'id': '2d055e06-42f7-4fed-a1ba-586a33c6030e', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'This dataset consists of XYZ points below the sea surface and relative to 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': '2025-09-11T13:21:58.336597', 'metadata_date': '2023-01-27T14:15', 'metadata_modified': '2025-09-12T08:49:05.974746', 'metadata_thumbnail': '', 'name': 'bathymetry_data_collected_from_durnford_hats_march_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 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 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 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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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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The Mosaic covers South Africa and presented in a map-corrected raster format, based on 10 x 10 m cells equivalent to the images resolution of the source sentinel multispectral imagery. 4 and pixel size is Pixel Size is 10,-10. ', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-08-27T12:39:12.192204', 'metadata_date': '2025-08-27T14:38', 'metadata_modified': '2025-08-27T12:41:58.829540', 'metadata_thumbnail': '', 'name': '2024-sentinel-2q3-cloudless-mosaic-', 'notes': 'This quarter 3 Sentinel-2 Mosaic was downloaded from Sentinel https://browser.dataspace.copernicus.eu/. The mosaic was generated from using Sentinel-2 data from July -September 2024. The cloudless mosaic of South Africa consist of 4 spectral Sentinel-2 bands (Blue, Green, Red, and NIR) composite.. 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| session | {'_domain': None, '_path': '/', '_accessed_time': 1789476882.0887868, '_creation_time': 1789476882.0887868} |
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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '', 'featured': 'true', 'id': 'd61fb7e7-e122-4613-b1f3-b39769b45fad', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'Land-cover dataset for 2020 generated in-house by the Department of Environment, Forestry and Fisheries (DEFF) with the Computer Automated Land Cover system (CALC), based on full year 2020 coverage of 20 m Sentinel 2 imagery. All original imagery sourced and automatically processed on the Amazon Web Services (AWS) cloud platform. The land-cover classification consists of 73 classes at 20 m resolution and the product was exported as a Geographic Lat/Lon in a GeoTIFF format.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-07-29T17:17:38.431768', 'metadata_date': '2021-03-14T00:00', 'metadata_modified': '2025-07-29T17:32:59.824478', 'metadata_thumbnail': '', 'name': 'south_african_national_landcover_2020', 'notes': 'Raster-based land-cover dataset representing the full South African landscape for the full year 2020. Derived from 20 m Sentinel 2 imagery acquired between 01 January 2020 and 31 December 2020. Land-cover information classes based on new Gazetted land-cover standards and legend content used in 2013/14 national land-cover data. All land-cover and land-use classes generated using automated modelling procedures for full operational repeatability and change detection. 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In some instances where official documentation was not available from DFFE applicants or their consultants were also contacted to obtain or verify information. There are 0 amendments added; 24 new applications captured and 0 corrections made, see ANNEXURE A with details of records.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-07-29T13:12:22.439409', 'metadata_date': '2025-07-29T00:00', 'metadata_modified': '2025-07-29T16:15:55.992836', 'metadata_thumbnail': '', 'name': 'south_african_renewable_energy_eia_application_database', 'notes': 'The South African Renewable Energy EIA Application Database contains spatial data for renewable energy applications for environmental authorisation. It includes spatial and attribute information for both active (in process and with valid authorisations) and non-active (lapsed or replaced by amendments) applications. Data is captured and managed on a parcels level as well as aggregated to the project level. 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This model was used, based on StatsSA Census Data, to estimate the organic component produced by each household per planning zone (mesozone) annually. * These factors were used to disaggregate provincial production data, resulting in a value for unserviced and serviced organic wastewater from household sources to be calculated for each mesozone.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T07:12:59.317624', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T09:37:29.037486', 'metadata_thumbnail': '', 'name': 'serviced_and_unserviced_waste_water_organic_component', 'notes': 'Data was derived from the following sources: * CSIR was commissioned by the BioEnergy Atlas to assemble known data on solid waste production from household and commercial sources in South Africa. 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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": [[[16.45214, -34.8341698957], [32.8925317467, -34.8341698957], [32.8925317467, -22.12503], [16.45214, -22.12503], [16.45214, -34.8341698957]]]}', 'state': 'active', 'title': 'Serviced and Unserviced Waste Water - Organic Component', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'Wim Hugo', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2015-01-01T00:00', '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/BEA.DATA.10000082', 'name': 'Serviced and Unserviced Waste Water - Organic Component'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-17T07:15:03.812737', 'description': '', 'format': 'GEOMAP', 'format_version': '', 'hash': '', 'id': 'b47f179f-b705-4c67-9f6f-654d5799dd09', 'last_modified': None, 'metadata_modified': '2025-10-17T07:15:03.803797', 'mimetype': None, 'mimetype_inner': None, 'name': 'Serviced and Unserviced Waste Water - Organic Component', 'package_id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000082', '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': 'Environment', 'id': 'ad6bb22c-77f7-4d69-81bb-a19bc4bceb95', 'name': 'Environment', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Hazards and vulnerability', 'id': '5829ec05-94f5-4147-8521-d1c6a37510e3', 'name': 'Hazards and vulnerability', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Municipalities', 'id': 'cbad33a1-1960-4cf3-a4e6-1d65230faa9d', 'name': 'Municipalities', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Settlement', 'id': '76b43ead-57a0-4dd5-91ab-fcde5a799ad4', 'name': 'Settlement', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Socio-economic', 'id': '1ae6c2fa-2640-4c76-a1e7-a68f7a113248', 'name': 'Socio-economic', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'biomass', 'id': '3599fc01-138e-449a-8618-4697ace9ddfe', 'name': 'biomass', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'organic waste', 'id': '66132173-2f04-40e0-99d5-d5e601e67fda', 'name': 'organic waste', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'waste water', 'id': '562cc66c-eb30-4566-985f-7c07453dfd89', 'name': 'waste water', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'environment'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []}, {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/BEA.DATA.10000060', 'featured': 'false', 'id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': '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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', '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": [[[16.452, -34.8341698957], [32.8925317467, -34.8341698957], [32.8925317467, -22.12503], [16.452, -22.12503], [16.452, -34.8341698957]]]}', 'state': 'active', 'title': 'Infrastructure Assessments', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'Wim Hugo', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2015-01-01T00:00', '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/BEA.DATA.10000060', 'name': 'Infrastructure Assessments'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-16T14:43:34.437295', 'description': '', 'format': 'GEOMAP', 'format_version': '', 'hash': '', 'id': '3cd55fec-5252-49d0-9681-0f30991fd80b', 'last_modified': None, 'metadata_modified': '2025-10-16T14:43:34.427997', 'mimetype': None, 'mimetype_inner': None, 'name': 'Infrastructure Assessments', 'package_id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000060', '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': 'Demography', 'id': 'ccd1fbaf-5fe7-4784-a643-b6f498578432', 'name': 'Demography', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Economic vulnerability', 'id': '2174dd69-d0cf-4f56-8a32-f527bfb3eb68', 'name': 'Economic vulnerability', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Environment', 'id': 'ad6bb22c-77f7-4d69-81bb-a19bc4bceb95', 'name': 'Environment', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Settlement', 'id': '76b43ead-57a0-4dd5-91ab-fcde5a799ad4', 'name': 'Settlement', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Socio-economic', 'id': '1ae6c2fa-2640-4c76-a1e7-a68f7a113248', 'name': 'Socio-economic', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'biomass potential', 'id': 'c536ff24-f315-44b0-a86c-ceeb3d7ce9ce', 'name': 'biomass potential', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'economic activity', 'id': '100a8a2a-70eb-498d-9c1b-9fa723baf80b', 'name': 'economic activity', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'infrastructure', 'id': '280c04f7-fe83-4294-8167-f2526f7c4a1f', 'name': 'infrastructure', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'population', 'id': 'f3244691-7bd3-4de1-a346-92f132d043ee', 'name': 'population', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'pressure', 'id': '4036c4e1-0924-4266-899c-fef8fdc97411', 'name': 'pressure', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'environment'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []}, {'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; 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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": [[[31.52826, -29.426584], [31.577445, -29.426584], [31.577445, -29.372258], [31.52826, -29.372258], [31.52826, -29.426584]]]}', 'state': 'active', 'title': 'Bathymetry data collected from Zinkwazi, November 2021', '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.20232511', 'name': 'bathymetry_data_collected_from_zinkwazi_november_2021'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-09-11T14:14:58.221011', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': 'a7c104c4-a7b7-4a0f-9ddc-3e2daf60f617', 'last_modified': None, 'metadata_modified': '2025-09-12T08:41:16.588713', 'mimetype': None, 'mimetype_inner': None, 'name': 'Bathymetry data collected from Zinkwazi, November 2021', 'package_id': 'ed816ac3-0461-4c85-b09f-16b54b0ad3f3', 'position': 0, 'resource_type': None, 'size': None, 'state': 'active', 'url': 'https://catalogue.saeon.ac.za/list/records/10.15493/NRF.SAIAB.20232511?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': []}, {'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. 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There are 0 amendments added; 24 new applications captured and 0 corrections made, see ANNEXURE A with details of records.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-07-29T13:12:22.439409', 'metadata_date': '2025-07-29T00:00', 'metadata_modified': '2025-07-29T16:15:55.992836', 'metadata_thumbnail': '', 'name': 'south_african_renewable_energy_eia_application_database', 'notes': 'The South African Renewable Energy EIA Application Database contains spatial data for renewable energy applications for environmental authorisation. It includes spatial and attribute information for both active (in process and with valid authorisations) and non-active (lapsed or replaced by amendments) applications. Data is captured and managed on a parcels level as well as aggregated to the project level. 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| ungettext | <function ungettext at 0x7f836cc00670> |
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|---|---|
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| dataset_type | 'dataset' |
| drill_down_url | <function drill_down_url at 0x7f834dc46820> |
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| preview_metadata | '{"text_formats": ["text/plain", "txt", "plain"], "json_formats": ["json"], "jsonp_formats": ["jsonp"], "xml_formats": ["xml", "rdf", "rdf+xml", "owl+xml", "atom", "rss"]}' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/eesl/resource/cd231885-84ff-4372-adcb-9a2096755eea/view/11fbb1ee-9a65-415c-ba4d-2c2bc1edcb0d' [GET]> |
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| resource_json | '{"cache_last_updated": null, "cache_url": null, "created": "2025-04-01T13:17:52.549703", "format": "JSON", "format_version": "1.0", "hash": "", "id": "cd231885-84ff-4372-adcb-9a2096755eea", "last_modified": null, "metadata_modified": "2025-04-01T13:17:52.525308", "mimetype": null, "mimetype_inner": null, "name": "STAC Item", "package_id": "coclico-catalog_eesl", "position": 24, "resource_type": null, "size": null, "state": "active", "url": "https://coclico.blob.core.windows.net/stac/v1/eesl/esl-mapbox/esl-mapbox-scenarios-RCP85-rp-5.0.json", "url_type": null}' |
| resource_url | '"/dataset/eesl/resource/cd231885-84ff-4372-adcb-9a2096755eea/proxy"' |
| resource_view | {'id': '11fbb1ee-9a65-415c-ba4d-2c2bc1edcb0d', 'resource_id': 'cd231885-84ff-4372-adcb-9a2096755eea', 'title': 'Text', 'description': '', 'view_type': 'text_view', 'package_id': 'coclico-catalog_eesl'} |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1789476885.1764762, '_creation_time': 1789476885.1764762} |
| ungettext | <function ungettext at 0x7f836cc00670> |
The toolbar was unable to fetch the SQLAlchemy queries for this request. To enable the SQLAlchemy query display, please:
The Flask-SQLAlchemy extension needs to be configured for this application. Please see the Flask-SQLAlchemy documentation for details.
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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 |