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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 | 995.752 msec |
| System CPU time | 71.883 msec |
| Total CPU time | 1067.635 msec |
| Elapsed time | 2810.109 msec |
| Context switches | 147 voluntary, 888 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=cci_landcover, resource_id=c639fbc7-d73f-49a0-897a-71837b49f4b8, view_id=0168cf56-9ae0-49c3-b9c8-0292bda07861, package_type=dataset |
| Variable | Value |
|---|
| Variable | Value |
|---|---|
| '_domain' | None |
| '_path' | '/' |
| '_accessed_time' | 1793577179.4457698 |
| '_creation_time' | 1793577179.4457698 |
| 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 0x7f5b25e83d30>, 'url': <function url at 0x7f5b25e83e50>, 'get_site_protocol_and_host': <function get_site_protocol_and_host at 0x7f5b25e83dc0>, 'url_for': <function url_for at 0x7f5b25e85040>, 'url_for_static': <function url_for_static at 0x7f5b25e851f0>, 'url_for_static_or_external': <function url_for_static_or_external at 0x7f5b25e85280>, 'is_url': <function is_url at 0x7f5b25e85310>, 'url_is_local': <function url_is_local at 0x7f5b25e85430>, 'full_current_url': <function full_current_url at 0x7f5b25e854c0>, 'current_url': <function current_url at 0x7f5b25e85550>, 'lang': <function lang at 0x7f5b25e855e0>, 'ckan_version': <function ckan_version at 0x7f5b25e85670>, 'lang_native_name': <function lang_native_name at 0x7f5b25e85700>, 'is_rtl_language': <function is_rtl_language at 0x7f5b25e85790>, 'get_rtl_theme': <function get_rtl_theme at 0x7f5b25e85820>, 'get_rtl_css': <function get_rtl_css at 0x7f5b25e858b0>, 'flash_notice': <function flash_notice at 0x7f5b25e85940>, 'flash_error': <function flash_error at 0x7f5b25e85dc0>, 'flash_success': <function flash_success at 0x7f5b25e85e50>, 'are_there_flash_messages': <function are_there_flash_messages at 0x7f5b25e85ee0>, 'link_to': <function link_to at 0x7f5b25e063a0>, 'file': <function file at 0x7f5b25e06430>, 'submit': <function submit at 0x7f5b25e064c0>, 'nav_link': <function nav_link at 0x7f5b25e06550>, 'nav_named_link': <function nav_named_link at 0x7f5b25e06820>, 'subnav_link': <function subnav_link at 0x7f5b25e06940>, 'subnav_named_route': <function subnav_named_route at 0x7f5b25e06a60>, 'build_nav_main': <function build_pages_nav_main at 0x7f5b0935bf70>, 'build_nav_icon': <function build_nav_icon at 0x7f5b25e06af0>, 'build_nav': <function build_nav at 0x7f5b25e06b80>, 'build_extra_admin_nav': <function build_extra_admin_nav at 0x7f5b25e06ca0>, 'default_group_type': <function default_group_type at 0x7f5b25e06dc0>, 'get_facet_items_dict': <function 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'dict_list_reduce': <function dict_list_reduce at 0x7f5b25e079d0>, 'gravatar': <function gravatar at 0x7f5b25e07a60>, 'sanitize_url': <function sanitize_url at 0x7f5b25e07af0>, 'user_image': <function user_image at 0x7f5b25e07b80>, 'pager_url': <function pager_url at 0x7f5b25e07c10>, 'get_page_number': <function get_page_number at 0x7f5b25e07ca0>, 'get_display_timezone': <function get_display_timezone at 0x7f5b25e07d30>, 'render_datetime': <function render_datetime at 0x7f5b25e07dc0>, 'date_str_to_datetime': <function date_str_to_datetime at 0x7f5b25e07e50>, 'parse_rfc_2822_date': <function parse_rfc_2822_date at 0x7f5b25e07ee0>, 'time_ago_from_timestamp': <function time_ago_from_timestamp at 0x7f5b25e07f70>, 'button_attr': <function button_attr at 0x7f5b25e08280>, 'dataset_display_name': <function dataset_display_name at 0x7f5b25e08310>, 'dataset_link': <function dataset_link at 0x7f5b25e083a0>, 'resource_display_name': <function resource_display_name at 0x7f5b25e08430>, 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popular at 0x7f5b25e08e50>, 'groups_available': <function groups_available at 0x7f5b25e08ee0>, 'organizations_available': <function organizations_available at 0x7f5b25e08f70>, 'roles_translated': <function roles_translated at 0x7f5b25e09040>, 'user_in_org_or_group': <function user_in_org_or_group at 0x7f5b25e090d0>, 'dashboard_activity_stream': <function dashboard_activity_stream at 0x7f5b25e09160>, 'recently_changed_packages_activity_stream': <function recently_changed_packages_activity_stream at 0x7f5b25e091f0>, 'escape_js': <function escape_js at 0x7f5b25e09280>, 'get_pkg_dict_extra': <function get_pkg_dict_extra at 0x7f5b25e09310>, 'get_request_param': <function get_request_param at 0x7f5b25e093a0>, 'html_auto_link': <function html_auto_link at 0x7f5b25e09430>, 'render_markdown': <function render_markdown at 0x7f5b25e094c0>, 'format_resource_items': <function format_resource_items at 0x7f5b25e09550>, 'resource_preview': <function resource_preview at 0x7f5b25e095e0>, 'get_allowed_view_types': <function get_allowed_view_types at 0x7f5b25e09670>, 'rendered_resource_view': <function rendered_resource_view at 0x7f5b25e09700>, 'view_resource_url': <bound method ResourceProxy.view_resource_url of <Plugin ResourceProxy 'resource_proxy'>>, 'resource_view_is_filterable': <function resource_view_is_filterable at 0x7f5b25e09820>, 'resource_view_get_fields': <function resource_view_get_fields at 0x7f5b25e098b0>, 'resource_view_is_iframed': <function resource_view_is_iframed at 0x7f5b25e09940>, 'resource_view_icon': <function resource_view_icon at 0x7f5b25e099d0>, 'resource_view_display_preview': <function resource_view_display_preview at 0x7f5b25e09a60>, 'resource_view_full_page': <function resource_view_full_page at 0x7f5b25e09af0>, 'remove_linebreaks': <function remove_linebreaks at 0x7f5b25e09b80>, 'list_dict_filter': <function list_dict_filter at 0x7f5b25e09c10>, 'SI_number_span': <function SI_number_span at 0x7f5b25e09ca0>, 'new_activities': <function new_activities at 0x7f5b25e09d30>, 'uploads_enabled': <function uploads_enabled at 0x7f5b25e09dc0>, 'get_featured_organizations': <function get_featured_organizations at 0x7f5b25e09e50>, 'get_featured_groups': <function get_featured_groups at 0x7f5b25e09ee0>, 'featured_group_org': <function featured_group_org at 0x7f5b25e09f70>, 'get_site_statistics': <function get_site_statistics at 0x7f5b25e0a040>, 'resource_formats': <function resource_formats at 0x7f5b25e0a0d0>, 'unified_resource_format': <function unified_resource_format at 0x7f5b25e0a160>, 'check_config_permission': <function check_config_permission at 0x7f5b25e0a1f0>, 'get_organization': <function get_organization at 0x7f5b25e0a280>, 'license_options': <function license_options at 0x7f5b25e0a310>, 'get_translated': <function get_translated at 0x7f5b25e0a3a0>, 'facets': <function facets at 0x7f5b25e0a430>, 'mail_to': <function mail_to at 0x7f5b25e0a4c0>, 'radio': <function radio at 0x7f5b25e0a550>, 'clean_html': <function clean_html at 0x7f5b25e0a5e0>, 'flash': <ckan.lib.helpers._Flash object at 0x7f5b25e728e0>, 'localised_number': <function localised_number at 0x7f5b270b9310>, 'localised_SI_number': <function localised_SI_number at 0x7f5b270b9430>, 'localised_nice_date': <function localised_nice_date at 0x7f5b270b91f0>, 'localised_filesize': <function localised_filesize at 0x7f5b270b93a0>, 'get_available_locales': <function get_available_locales at 0x7f5b2820bca0>, 'get_locales_dict': <function get_locales_dict at 0x7f5b2820bc10>, 'literal': <class 'ckan.lib.helpers.literal'>, 'asbool': <function asbool at 0x7f5b28311ee0>, 'urlencode': <function urlencode at 0x7f5b29ed2ca0>, 'include_asset': <function include_asset at 0x7f5b25e83820>, 'render_assets': <function render_assets at 0x7f5b25e83940>, 'sanitize_id': <function sanitize_id at 0x7f5b25e0a700>, 'compare_pkg_dicts': <function compare_pkg_dicts at 0x7f5b25e0a790>, 'activity_list_select': <function activity_list_select at 0x7f5b25e0a820>, 'get_collaborators': <function get_collaborators at 0x7f5b25e0a8b0>, 'can_update_owner_org': <function can_update_owner_org at 0x7f5b25e0a940>, 'check_ckan_version': <function check_ckan_version at 0x7f5b25e0a9d0>, 'csrf_input': <function csrf_input at 0x7f5b25e0aa60>, 'saeoss_default_spatial_search_extent': functools.partial(<function get_default_spatial_search_extent at 0x7f5b08c59dc0>, 0.001), 'default_bounding_box': <function get_default_bounding_box at 0x7f5b08c59e50>, 'convert_geojson_to_bounding_box': <function convert_geojson_to_bbox at 0x7f5b08c59ee0>, 'extent_to_bbox': <function convert_string_extent_to_bbox at 0x7f5b08c59f70>, 'saeoss_themes': <function get_saeoss_themes at 0x7f5b08cba4c0>, 'iso_topic_categories': <function get_iso_topic_categories at 0x7f5b08c59ca0>, 'get_iso_topic_display': <function get_iso_topic_display at 0x7f5b08c59d30>, 'saeoss_show_version': <function helper_show_version at 0x7f5b08c50040>, 'user_is_org_member': <function user_is_org_member at 0x7f5b08c500d0>, 'org_member_list': <function org_member_list at 0x7f5b08c50160>, 'user_is_staff_member': <function user_is_staff_member at 0x7f5b08c501f0>, 'get_featured_datasets': <function get_featured_datasets at 0x7f5b08c50310>, 'get_recently_modified_datasets': <function get_recently_modified_datasets at 0x7f5b08c50430>, 'get_all_datasets_count': <function get_all_datasets_count at 0x7f5b08c504c0>, 'saeoss_org_memberships': <function get_org_memberships at 0x7f5b08c50790>, 'mod_scheming_flatten_subfield': <function mod_scheming_flatten_subfield at 0x7f5b08c50820>, 'get_today_date': <function get_today_date at 0x7f5b08c50940>, 'get_maintenance_custom_other_field_data': <function get_maintenance_custom_other_field_data at 0x7f5b08c508b0>, 'get_release': <function get_current_release at 0x7f5b08c509d0>, 'get_saved_searches': <function get_saved_searches at 0x7f5b08c50af0>, 'get_recent_news': <function get_recent_news at 0x7f5b08c50d30>, 'get_featured_datasets_count': <function get_featured_datasets_count at 0x7f5b08c503a0>, 'get_user_name': <function get_user_name at 0x7f5b08c50b80>, 'get_user_name_from_url': <function get_user_name_from_url at 0x7f5b08c50ca0>, 'get_user_id': <function get_user_id at 0x7f5b08c50c10>, 'get_seo_metatags': <function get_seo_metatags at 0x7f5b08c50dc0>, 'get_datasets_thumbnail': <function get_datasets_thumbnail at 0x7f5b08c50670>, 'get_year': <function get_year at 0x7f5b08c50e50>, 'get_user_dashboard_packages': <function get_user_dashboard_packages at 0x7f5b08c50ee0>, 'get_org_public_records_count': <function get_org_public_records_count at 0x7f5b08c505e0>, 'group_package_count': <function group_package_count at 0x7f5b08c50550>, 'render_content': <function render_content at 0x7f5b093775e0>, 'get_wysiwyg_editor': <function get_wysiwyg_editor at 0x7f5b09383b80>, 'get_recent_blog_posts': <function get_recent_blog_posts at 0x7f5b09383c10>, 'pages_get_plus_icon': <function get_plus_icon at 0x7f5b09383ca0>, 'scheming_language_text': <function scheming_language_text at 0x7f5b0943cd30>, 'scheming_field_choices': <function scheming_field_choices at 0x7f5b0943cdc0>, 'scheming_choices_label': <function scheming_choices_label at 0x7f5b0943ce50>, 'scheming_datastore_choices': <function scheming_datastore_choices at 0x7f5b0943cee0>, 'scheming_field_required': <function scheming_field_required at 0x7f5b0943cb80>, 'scheming_dataset_schemas': <function scheming_dataset_schemas at 0x7f5b0943cf70>, 'scheming_get_presets': <function scheming_get_presets at 0x7f5b0943cc10>, 'scheming_get_preset': <function scheming_get_preset at 0x7f5b093b0040>, 'scheming_get_dataset_schema': <function scheming_get_dataset_schema at 0x7f5b093b00d0>, 'scheming_get_dataset_form_pages': <function scheming_get_dataset_form_pages at 0x7f5b093b0160>, 'scheming_group_schemas': <function scheming_group_schemas at 0x7f5b093b01f0>, 'scheming_get_group_schema': <function scheming_get_group_schema at 0x7f5b093b0280>, 'scheming_organization_schemas': <function scheming_organization_schemas at 0x7f5b093b0310>, 'scheming_get_organization_schema': <function scheming_get_organization_schema at 0x7f5b093b03a0>, 'scheming_get_schema': <function scheming_get_schema at 0x7f5b093b0430>, 'scheming_field_by_name': <function scheming_field_by_name at 0x7f5b093b04c0>, 'scheming_datetime_to_utc': <function scheming_datetime_to_utc at 0x7f5b093b05e0>, 'scheming_datetime_to_tz': <function scheming_datetime_to_tz at 0x7f5b093b0670>, 'scheming_get_timezones': <function scheming_get_timezones at 0x7f5b093b0700>, 'scheming_display_json_value': <function scheming_display_json_value at 0x7f5b093b0790>, 'scheming_render_from_string': <function scheming_render_from_string at 0x7f5b093b0820>, 'scheming_flatten_subfield': <function scheming_flatten_subfield at 0x7f5b093b08b0>, 'get_common_map_config_shp': <function get_common_map_config at 0x7f5b0941a670>, 'get_shapefile_viewer_config': <function get_shapefile_viewer_config at 0x7f5b0941a700>, 'get_common_map_config_wmts': <function get_common_map_config at 0x7f5b0941a670>, 'get_common_map_config_geojson': <function get_common_map_config at 0x7f5b0941a670>, 'geojson_get_max_file_size': <function get_max_file_size at 0x7f5b0941a790>, 'get_common_map_config_geoviews': <function get_common_map_config at 0x7f5b0941a670>, 'get_openlayers_viewer_config': <function get_openlayers_viewer_config at 0x7f5b0941a820>, 'get_reference_date': <function get_reference_date at 0x7f5aff40eaf0>, 'get_responsible_party': <function get_responsible_party at 0x7f5aff40eb80>, 'get_common_map_config': <function get_common_map_config at 0x7f5aff40ec10>, 'package_list_for_source': <function package_list_for_source at 0x7f5aff40ee50>, 'package_count_for_source': <function package_count_for_source at 0x7f5aff40eee0>, 'harvesters_info': <function harvesters_info at 0x7f5aff40ef70>, 'harvester_types': <function harvester_types at 0x7f5aff41a040>, 'harvest_frequencies': <function harvest_frequencies at 0x7f5aff41a0d0>, 'link_for_harvest_object': <function link_for_harvest_object at 0x7f5aff41a160>, 'harvest_source_extra_fields': <function harvest_source_extra_fields at 0x7f5aff41a1f0>, 'bootstrap_version': <function bootstrap_version at 0x7f5aff41a280>, 'get_harvest_source': <function get_harvest_source at 0x7f5aff40edc0>, 'get_map_config': <function get_mapview_config at 0x7f5b1fc5e550>, 'get_dataproxy_url': <function get_dataproxy_url at 0x7f5b1fc5e5e0>} |
| 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=growth+areas&tags=yield+estimation&tags=Oceans&tags=Climatology-Meteorology-Atmosphere&tags=agriculture&tags=Forestry+distribution' [GET]> |
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| name | 'topic_and_saeoss_themes' |
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| title | 'Topic Category' |
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| name | 'tags' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=growth+areas&tags=yield+estimation&tags=Oceans&tags=Climatology-Meteorology-Atmosphere&tags=agriculture&tags=Forestry+distribution' [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': 1793577175.538448, '_creation_time': 1793577175.538448} |
| title | 'Tags' |
| ungettext | <function ungettext at 0x7f5b28311670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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Papaya needs relatively little water in the rainy summer season in South Africa, but if irrigated every 2 weeks in the dry season it is well adapted to hot, dry areas as the fruit then matures early and is then highly palatable owing to its high sugar content (Smith, 1998). Papaya has high heat requirements, with average daily temperatures for optimum growth between 20 and 30 degree Celsius. Determination of climatically optimum growth areas for Papaya in South Africa is based on the expert knowledge of Bower (2005) and Moll (2005), climatically optimum growth areas were determined according to the four basic criteria: Criterion 1: Heat units (base 12 degree Celsius) should exceed 2 000 days per annum, Criterion 2: Optimum areas should have a low frequency of 4 consecutive days with maximum temperatures > 36 degree Celsius, Criterion 3: Monthly means of daily average temperatures in December and January should be 23 degree Celsius - 30 degree Celsius and Criterion 4: Optimum growth areas should have a low frequency of 4 consecutive days with minimum temperatures < 17 degree Celsius. Using the 50 year time series of quality controlled daily maximum and minimum temperatures generated by Schulze and Maharaj (2004) at a spatial resolution of 1 arc minute (i.e. 1` x 1` of a degree latitude/longitude), the above four temperature based criteria were first mapped individually and then superimposed to determine the climatically optimum growth areas of papaya in South Africa.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T11:08:39.531145', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T11:11:28.922543', 'metadata_thumbnail': '', 'name': 'climatically_optimum_growth_areas_papaya_composite_of_all_criteria', 'notes': 'Papaya, or pawpaw (Carica papaya) is a tropical fruit grown widely between latitudes 32 degree N and S. High in Vitamin C, papaya is indigenous to tropical America (ARC, 2005). 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Determination of climatically optimum growth areas for Papaya in South Africa is based on the expert knowledge of Bower (2005) and Moll (2005), climatically optimum growth areas were determined according to the four basic criteria: Criterion 1: Heat units (base 12 degree Celsius) should exceed 2 000 days per annum, Criterion 2: Optimum areas should have a low frequency of 4 consecutive days with maximum temperatures > 36 degree Celsius, Criterion 3: Monthly means of daily average temperatures in December and January should be 23 degree Celsius - 30 degree Celsius and Criterion 4: Optimum growth areas should have a low frequency of 4 consecutive days with minimum temperatures < 17 degree Celsius. 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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/SARVA.BEEH.10000186', 'featured': 'false', 'id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': ' Criteria for climatically optimum growth areas for passion fruit were refined by Bower (2005). Six criteria were identified and using the 1` x 1` gridded information on temperature related parameters derived by Schulze and Maharaj (2004), the following criteria were mapped: Criterion 1: > 330 days per year with a minimum temperature exceeding 2 degree Celsius; Criterion 2: Fewer than 2 consecutive days per annum with minimum temperatures < -2 degree Celsius; Criterion 3: There should not be > 3 consecutive frost days per annum; Criterion 4: In total, there should be < 25 days per annum with frost; Criterion 5: Maximum temperatures should be < 28 degree Celsius on at least 25 days of each month; Criterion 6: Maximum temperatures should not exceed 35 degree Celsius on any two consecutive days per month. Mapped criteria were given either categorical or probabilistic weightings and when the six maps were superimposed, suitable and less suitable climatically optimum growth areas could be identified.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T10:04:49.448189', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T10:07:55.203305', 'metadata_thumbnail': '', 'name': 'climatically_optimum_growth_areas-_passion_fruit_composite_of_all_criteria', 'notes': 'Passion fruit are believed to have originated from southern Brazil (Kenyaweb, 2005).The most commonly commercially grown of 55 edible species of passion fruit is Passiflora edulis, which consists of perennial woody vines with each producing about 100 fruits per year (RBGK, 2005). In South Africa passion fruit ideally requires a cool subtropical climate for optimum production (Smith, 1998). The vines prefer moderate temperatures throughout the year, with monthly means of daily maxima < 29 degree Celsius. The plants are sensitive to severe frosts, and monthly means of minimum temperatures should be > 6 degree Celsius (NDA, 2005). For commercial production under rainfed conditions MAP should ideally exceed 1 200 mm and be well distributed throughout the year (NDA, 2005), as it is important to maintain the soil moist throughout the growing season to keep the vines flowering and fruiting for longer periods and prevent the fruit from shriveling and falling prematurely (Kenyaweb, 2005). Total commercial production of passion fruit in South Africa is 1 300t per season, with a range (between 1998/9 - 2003/4) in more recent from 900 - 1 700 t (NDA, 2005).The gross value is R65 million/year (NDA, 2005). Criteria for climatically optimum growth areas for passion fruit were refined by Bower (2005). Six criteria were identified and using the 1` x 1` gridded information on temperature related parameters derived by Schulze and Maharaj (2004), the following criteria were mapped: Criterion 1: > 330 days per year with a minimum temperature exceeding 2 degree Celsius; Criterion 2: Fewer than 2 consecutive days per annum with minimum temperatures < -2 degree Celsius; Criterion 3: There should not be > 3 consecutive frost days per annum; Criterion 4: In total, there should be < 25 days per annum with frost; Criterion 5: Maximum temperatures should be < 28 degree Celsius on at least 25 days of each month; Criterion 6: Maximum temperatures should not exceed 35 degree Celsius on any two consecutive days per month. Mapped criteria were given either categorical or probabilistic weightings and when the six maps were superimposed, suitable and less suitable climatically optimum growth areas could be identified. ', 'num_resources': 1, 'num_tags': 10, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.458333, -34.841667], [32.908333, -34.841667], [32.908333, -22.141667], [16.458333, -22.141667], [16.458333, -34.841667]]]}', 'state': 'active', 'title': 'Climatically Optimum Growth Areas (Passion Fruit) Composite Of All Criteria', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'SAEON', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2007-01-01T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'https://catalogue.saeon.ac.za/records/10.15493/SARVA.BEEH.10000186', 'name': 'Climatically Optimum Growth Areas (Passion Fruit) Composite Of All Criteria'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-17T10:05:36.992639', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': '9d64a80d-8520-4035-b2c0-64b3a5308189', 'last_modified': None, 'metadata_modified': '2025-10-17T10:05:36.987063', 'mimetype': None, 'mimetype_inner': None, 'name': 'Climatically Optimum Growth Areas (Passion Fruit) Composite Of All Criteria', 'package_id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://repository.saeon.ac.za/index.php/s/KDwnyqAwyrwkwrM?opendetails=', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'R.E. Schulze & M. 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E. benthamii is less tolerant of low MAPs than E. badjensis, with > 850 mm MAP required for optimal growth (Kunz, 2004).This species is susceptible to snow damage (Kunz, 2004).', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T09:11:46.432943', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T09:40:33.467393', 'metadata_thumbnail': '', 'name': 'climatically_suitable_growth_areas_for_eucalyptus_benthamii', 'notes': 'Commonly named the Camden White Oak, Eucalyptus benthamii, is a tall, smooth-barked. It is a cool climate species, growing optimally at MATs between 14 and 18 degree Celsius. E. benthamii is less tolerant of low MAPs than E. badjensis, with > 850 mm MAP required for optimal growth (Kunz, 2004).This species is susceptible to snow damage (Kunz, 2004).', '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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By providing the high resolution climate metric surfaces and uncertainties, this work facilitates richer and more robust predictive modeling in ecology and bio- geography. These data can be incorporated into ecological models to propagate the uncertainties through to the final predictions', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-16T11:32:14.831108', 'metadata_date': '2016-01-01T00:00', 'metadata_modified': '2025-10-17T09:38:59.712167', 'metadata_thumbnail': '', 'name': 'interpolated_observed_weather_data_for_the_cape_floristic_region', 'notes': 'Conservation of biodiversity demands comprehension of evolutionary and ecological patterns and processes that occur over vast spatial and temporal scales. A central goal of ecology is to understand the climatic factors that control ecological processes and this has become even more important in the face of climate change. Especially at global scales, there can be enormous uncertainty in underlying environmental data used to explain ecological processes, but that uncertainty is rarely quantified or incorporated into ecological models. In this study a climate-aided Bayesian kriging approach is used to interpolate 20 years of daily meteorological observations (maximum and minimum temperature and precipitation) to a 1 arc-minute grid for the Cape Floristic Region of South Africa. Independent validation data revealed overall predictive performance of the interpolation to have R2 values of 0.90, 0.85, and 0.59 for maximum temperature, minimum temperature, and precipitation, respectively. A suite of ecologically-relevant climate metrics that include the uncertainty introduced by the interpolation were then generated. By providing the high resolution climate metric surfaces and uncertainties, this work facilitates richer and more robust predictive modeling in ecology and bio- geography. 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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/BEA.DATA.10000074', 'featured': 'false', 'id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': '"Data was derived from the following sources: *The extent of sugar cane cultivation was determined from digitisation of maps published in Gers (2003). * This extent was correlated with two additional sources: crop extent published by DAFF (2014), which excludes sugar cane production and could be used as a verification of extent, and Land Use data (FAO, 2011), which could be used to verify the finer extent of cultivation. * Sugar cane theoretical yields were applied from Schulze, Hull, and Maharaj (2007).', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-25T13:51:51.505431', 'metadata_date': '2015-01-01T00:00', 'metadata_modified': '2025-10-17T09:37:57.386121', 'metadata_thumbnail': '', 'name': 'availability_of_sugar_cane_field_residues', 'notes': 'Data was derived from the following sources: *The extent of sugar cane cultivation was determined from digitisation of maps published in Gers (2003). * This extent was correlated with two additional sources: crop extent published by DAFF (2014), which excludes sugar cane production and could be used as a verification of extent, and Land Use data (FAO, 2011), which could be used to verify the finer extent of cultivation. * Sugar cane theoretical yields were applied from Schulze, Hull, and Maharaj (2007). * The total area and sugar cane production obtained from the above was correlated with published production figures (DAFF, 2014) and good correlation obtained - calculated sugar cane production of 22.5 Mt/a vs. published production in 2013/14 of 21.3 Mt/a. * Ratios of bagasse, sugar, and residue production was calculated from ratios in Hugo (2014) .', 'num_resources': 1, 'num_tags': 14, '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": [[[16.45214, -34.8341698957], [32.8925317467, -34.8341698957], [32.8925317467, -22.12503], [16.45214, -22.12503], [16.45214, -34.8341698957]]]}', 'state': 'active', 'title': 'Availability of Sugar Cane Field Residues', '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.10000074', 'name': 'Availability of Sugar Cane Field Residues'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-09-25T13:52:53.602259', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': '736c3288-9873-40c9-b235-d3694cd201f3', 'last_modified': None, 'metadata_modified': '2025-09-25T13:52:53.567175', 'mimetype': None, 'mimetype_inner': None, 'name': 'Availability of Sugar Cane Field Residues', 'package_id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://repository.saeon.ac.za/index.php/s/aa5pAfNjzabbcjF', 'url_type': 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': []} |
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This dataset is used to map, delineate and classify the seabed for the purpose of classifying habitats, ecosystems, understanding spatial pattern-process linkages in marine environments (biological and geological).', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-11T12:56:09.047921', 'metadata_date': '2023-01-25T13:26', 'metadata_modified': '2025-09-12T09:09:24.142438', 'metadata_thumbnail': '', 'name': 'bathymetry_data_for_seascapes_december_2022', 'notes': "This dataset forms part of the the South African Institute for Aquatic Biodiversity (SAIAB)'s collection of Bathymetry data for the African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA. This hydrographic survey covers 18 square km and is part of the SeaScapes 2022 project. The dataset consists of locations below the surface of the water. Habitat degradation and loss of structural complexity are major threats to coastal ecosystems, with impacts associated with climate change placing additional pressure on these valuable ecosystems. Seascape ecology (which focuses on mosaics of spatially discrete and recognisable patches of habitat) is an emerging science that strives to understand spatial pattern-process linkages in marine environments. Understanding multi-scale linkages between seascape structure, function and change can better support sustainable ocean development, biodiversity protection and help to understand the consequences of human activity. 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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/NRF.SAIAB.20232503', 'featured': 'false', 'id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'This dataset consists of XYZ points below the sea surface and relative to the mean sea level. This data was collected under the ACEP SMART ZONES MPA project (2021 – 2023) using the ACEP Geophysics and Mapping Platform.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-11T13:54:29.780880', 'metadata_date': '202301-02-06T00:00', 'metadata_modified': '2025-09-12T08:46:26.411995', 'metadata_thumbnail': '', 'name': 'bathymetry_data_collected_from_rosie_snowball_july_2021', 'notes': "This dataset forms part of the South African Institute for Aquatic Biodiversity (SAIAB)'s collection of Bathymetry data for the African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA. This multi-disciplinary study will begin at the start of the implementation of two new MPAs (uThukela MPA and Protea Banks MPA, both proclaimed in 2019), and will generate the relevant data needed to underpin an evidence-based approach to adaptive management of the MPAs, within a “SMART” framework. This framework defines specific objectives for the different MPA zones; and develops measurable indicators of success for each zone. It also sets achievable goals given the limited resources available for planning and management. This ensures that the research findings are relevant (to both biodiversity and human stakeholders). This is a rare time-sensitive opportunity to conduct baseline surveys of the geology, benthic biodiversity (sessile and mobile species), reef-associated ichthyoplankton and mero-zooplankton and fish communities of mesophotic (40-150m) soft-coral and sponge-dominated reefs and submarine habitats located in three different management zones at the initiation of management of two brand new MPAs, against which long-term monitoring data can be compared to assess the effectiveness of the MPAs in achieving their objectives. The balanced sampling design is such that it will also initiate a “natural experiment” that over time will investigate the effect of no-take zones on fish diversity and abundance, benthic community structure, and trophic complexity. This will also enable the determination of the value of the MPA for fisheries sustainability support and resilience to disturbances caused by extrinsic factors such as pollution or climate change. Additionally, this study will assess whether the zonation plans provide for representation of all reef and canyon types within each zone or if there is unbalanced coverage for certain reefs and in certain zones. This is important to assess the initiation of the MPA, especially to ensure that the interpretation of monitoring results in future to compare ecosystems and fish on reefs and canyons in the mesophotic zone are not flawed by natural differences from the outset due to the selection of zone boundaries. This dataset consists of XYZ points below the sea surface and relative to the mean sea level. This data was collected under the ACEP SMART ZONES MPA project (2021 – 2023) using the ACEP Geophysics and Mapping Platform.", 'num_resources': 1, 'num_tags': 6, 'organization': {'id': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'title': 'NRF-SAIAB', 'type': 'organization', 'description': 'The South African Institute for Aquatic Biodiversity (NRF-SAIAB) is a national facility of the National Research Foundation (NRF). 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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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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/NRF.SAIAB.20232516', 'featured': 'false', 'id': '209cd0fd-d80b-492e-969e-e8223d010104', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'This dataset consists of locations below the surface of the water where the depth of water is precisely known relative to MSL. Sessile and mobile epibenthic invertebrates are organisms that are part of the benthic community.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-11T14:21:53.400156', 'metadata_date': '2023-01-27T00:00', 'metadata_modified': '2025-09-12T08:29:23.503760', 'metadata_thumbnail': '', 'name': 'bathymetry_data_collected_from_mobile_epibenthic_invertebrate_stations_november_2022', 'notes': "This dataset forms part of the South African Institute for Aquatic Biodiversity (SAIAB)'s collection of Bathymetry data for the African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA. This dataset is used for seabed analysis, the interpretation and creation of derivatives for geomorphological and statistical analysis in comparison with biological metrics. This dataset consists of locations below the surface of the water where the depth of water is precisely known relative to MSL. Sessile and mobile epibenthic invertebrates are organisms that are part of the benthic community. These organisms perform crucial roles and ecosystem services that benefit the benthic community and marine environment as a whole. These organisms’ distribution is affected by many abiotic and biotic factors. This study aims to determine the distribution of both the mobile and sessile epibenthic invertebrates and to investigate the relationship between the mobile and sessile epibenthic invertebrates. The objectives are to measure the abundance and composition of both the mobile and sessile epibenthic invertebrates found on the inner continental shelf of Umhlanga, KwaZulu-Natal and to analyze the statistical relationship between the sessile epibenthic assemblage data and the mobile epibenthic assemblage data. These aims and objectives will be satisfied by sampling on the Umhlanga coast using a drop camera and a baited drop camera. Multivariate tests were run on the abundance data and a Pearson’s correlation test for the relationship between the mobile and sessile epibenthic invertebrates. This study will provide new data on the presence and abundance of understudied mobile invertebrates inhabiting unconsolidated sediments of the KZN inner continental shelf and contribute to our understanding of the relationship between sessile and mobile invertebrate epifauna on the unconsolidated inner continental shelf. It will also test and establish the usefulness of a baited drop-camera for sampling epibenthic invertebrates.", 'num_resources': 1, 'num_tags': 6, 'organization': {'id': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'title': 'NRF-SAIAB', 'type': 'organization', 'description': 'The South African Institute for Aquatic Biodiversity (NRF-SAIAB) is a national facility of the National Research Foundation (NRF). The NRF-SAIAB contributes to two National Operation Phakisa Labs through which South Africa has identified the potential to develop the Biodiversity Economy and the Blue Economy.', 'image_url': '2025-09-11-081630.579961SouthAfricanInstituteforAquaticBiodiversitylogo.svg.png', 'created': '2025-09-11T08:16:30.612011', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[31.115365, -29.803761], [31.185535, -29.803761], [31.185535, -29.748017], [31.115365, -29.748017], [31.115365, -29.803761]]]}', 'state': 'active', 'title': 'Bathymetry data collected from Mobile Epibenthic Invertebrate Stations, November 2022', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'T.Wanda@saiab.nrf.ac.za', 'individual_name': 'Thamsanqa Wanda', 'position_name': 'Geologist', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2023-01-27T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'http://doi.org/10.15493/NRF.SAIAB.20232516', 'name': 'bathymetry_data_collected_from_mobile_epibenthic_invertebrate_stations_november_2022'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-09-11T14:22:17.751814', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': 'f6492885-e526-4883-ba79-61a161dc0806', 'last_modified': None, 'metadata_modified': '2025-09-12T08:29:23.519836', 'mimetype': None, 'mimetype_inner': None, 'name': 'Bathymetry data collected from Mobile Epibenthic Invertebrate Stations, November 2022', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'position': 0, 'resource_type': None, 'size': None, 'state': 'active', 'url': 'https://catalogue.saeon.ac.za/list/records/10.15493/NRF.SAIAB.20232516?search=68c2b42da71d058a420b0236&disableSidebar=false&showSearchBar=true', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'South African Institute for Aquatic Biodiversity ', 'position_name': 'SAIAB', 'role': 'owner', 'website': 'https://nrfsaiab.wixsite.com/gemapocean'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': 'Makhanda', 'delivery_point': 'Somerset Street', 'postal_code': '6139'}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Oceans', 'id': '2547e672-a968-4048-814b-29a682525254', 'name': 'Oceans', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'SGB systems', 'id': 'e90bd4d4-da24-418e-a5b1-f9d0cf063793', 'name': 'SGB systems', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'bathymetry', 'id': '84d64091-149a-4cd4-bf97-f828e908fe76', 'name': 'bathymetry', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'hydrographic', 'id': '903bf930-556a-402c-a784-3c57de8bc65b', 'name': 'hydrographic', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'multibeam bathymetry', 'id': '1fe9236d-3571-4fe0-9305-f1b40579e991', 'name': 'multibeam bathymetry', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'reson', 'id': '4ff1fff4-deb9-4256-a9c0-f03802b2d0e7', 'name': 'reson', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'oceans'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []} |
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| packages | [{'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/SARVA.BEEH.10000179', 'featured': 'false', 'id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'Papaya, or pawpaw (Carica papaya) is a tropical fruit grown widely between latitudes 32 degree N and S. High in Vitamin C, papaya is indigenous to tropical America (ARC, 2005). This fruit, initially brought to the attention of Europe around 1520, was introduced to South Africa in seed form by Jan van Riebeeck in 1652, but only grown commercially in the Lowveld of Mpumalanga for the first time in the early 20th century by a Captain Elphick (ARC, 2005). Papaya needs relatively little water in the rainy summer season in South Africa, but if irrigated every 2 weeks in the dry season it is well adapted to hot, dry areas as the fruit then matures early and is then highly palatable owing to its high sugar content (Smith, 1998). Papaya has high heat requirements, with average daily temperatures for optimum growth between 20 and 30 degree Celsius. Determination of climatically optimum growth areas for Papaya in South Africa is based on the expert knowledge of Bower (2005) and Moll (2005), climatically optimum growth areas were determined according to the four basic criteria: Criterion 1: Heat units (base 12 degree Celsius) should exceed 2 000 days per annum, Criterion 2: Optimum areas should have a low frequency of 4 consecutive days with maximum temperatures > 36 degree Celsius, Criterion 3: Monthly means of daily average temperatures in December and January should be 23 degree Celsius - 30 degree Celsius and Criterion 4: Optimum growth areas should have a low frequency of 4 consecutive days with minimum temperatures < 17 degree Celsius. Using the 50 year time series of quality controlled daily maximum and minimum temperatures generated by Schulze and Maharaj (2004) at a spatial resolution of 1 arc minute (i.e. 1` x 1` of a degree latitude/longitude), the above four temperature based criteria were first mapped individually and then superimposed to determine the climatically optimum growth areas of papaya in South Africa.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T11:08:39.531145', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T11:11:28.922543', 'metadata_thumbnail': '', 'name': 'climatically_optimum_growth_areas_papaya_composite_of_all_criteria', 'notes': 'Papaya, or pawpaw (Carica papaya) is a tropical fruit grown widely between latitudes 32 degree N and S. High in Vitamin C, papaya is indigenous to tropical America (ARC, 2005). This fruit, initially brought to the attention of Europe around 1520, was introduced to South Africa in seed form by Jan van Riebeeck in 1652, but only grown commercially in the Lowveld of Mpumalanga for the first time in the early 20th century by a Captain Elphick (ARC, 2005). Papaya needs relatively little water in the rainy summer season in South Africa, but if irrigated every 2 weeks in the dry season it is well adapted to hot, dry areas as the fruit then matures early and is then highly palatable owing to its high sugar content (Smith, 1998). Papaya has high heat requirements, with average daily temperatures for optimum growth between 20 and 30 degree Celsius. Determination of climatically optimum growth areas for Papaya in South Africa is based on the expert knowledge of Bower (2005) and Moll (2005), climatically optimum growth areas were determined according to the four basic criteria: Criterion 1: Heat units (base 12 degree Celsius) should exceed 2 000 days per annum, Criterion 2: Optimum areas should have a low frequency of 4 consecutive days with maximum temperatures > 36 degree Celsius, Criterion 3: Monthly means of daily average temperatures in December and January should be 23 degree Celsius - 30 degree Celsius and Criterion 4: Optimum growth areas should have a low frequency of 4 consecutive days with minimum temperatures < 17 degree Celsius. Using the 50 year time series of quality controlled daily maximum and minimum temperatures generated by Schulze and Maharaj (2004) at a spatial resolution of 1 arc minute (i.e. 1` x 1` of a degree latitude/longitude), the above four temperature based criteria were first mapped individually and then superimposed to determine the climatically optimum growth areas of papaya in South Africa.', 'num_resources': 1, 'num_tags': 11, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. 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'lineage_statement': '"Data was derived from the following sources: *The extent of sugar cane cultivation was determined from digitisation of maps published in Gers (2003). * This extent was correlated with two additional sources: crop extent published by DAFF (2014), which excludes sugar cane production and could be used as a verification of extent, and Land Use data (FAO, 2011), which could be used to verify the finer extent of cultivation. * Sugar cane theoretical yields were applied from Schulze, Hull, and Maharaj (2007).', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-25T13:51:51.505431', 'metadata_date': '2015-01-01T00:00', 'metadata_modified': '2025-10-17T09:37:57.386121', 'metadata_thumbnail': '', 'name': 'availability_of_sugar_cane_field_residues', 'notes': 'Data was derived from the following sources: *The extent of sugar cane cultivation was determined from digitisation of maps published in Gers (2003). * This extent was correlated with two 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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": [[[31.115365, -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': []}, {'author': None, 'author_email': None, 'creator_user_id': 'edabd58a-206b-4837-ae44-ff17c126fe88', 'doi': '10.15493/NRF.SAIAB.20232505', 'featured': 'false', 'id': '0b93f04a-5fa2-4c7c-b9a3-e3451557d702', '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. 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| error | False |
| facets | Undefined |
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| placeholder | Markup('Search metadata records..') |
| query | '' |
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| session | {'_domain': None, '_path': '/', '_accessed_time': 1793577176.3770945, '_creation_time': 1793577176.3770945} |
| show_empty | Undefined |
| sorting_selected | 'score desc, metadata_modified desc' |
| type | 'dataset' |
| ungettext | <function ungettext at 0x7f5b28311670> |
| Variable | Value |
|---|---|
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| map_config | {} |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=multibeam+bathymetry&tags=Climatology-Meteorology-Atmosphere&tags=Commercial+cropping+system&organization=sansa&featured=true' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793577176.3770945, '_creation_time': 1793577176.3770945} |
| ungettext | <function ungettext at 0x7f5b28311670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
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| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=multibeam+bathymetry&tags=Climatology-Meteorology-Atmosphere&tags=Commercial+cropping+system&organization=sansa&featured=true' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793577176.3770945, '_creation_time': 1793577176.3770945} |
| ungettext | <function ungettext at 0x7f5b28311670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| session | {'_domain': None, '_path': '/', '_accessed_time': 1793577176.3770945, '_creation_time': 1793577176.3770945} |
| ungettext | <function ungettext at 0x7f5b28311670> |
| Variable | Value |
|---|---|
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| name | 'organization' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=multibeam+bathymetry&tags=Climatology-Meteorology-Atmosphere&tags=Commercial+cropping+system&organization=sansa&featured=true' [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': 1793577176.3770945, '_creation_time': 1793577176.3770945} |
| title | 'Organizations' |
| ungettext | <function ungettext at 0x7f5b28311670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| name | 'groups' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=multibeam+bathymetry&tags=Climatology-Meteorology-Atmosphere&tags=Commercial+cropping+system&organization=sansa&featured=true' [GET]> |
| search_facets | {'organization': {'title': 'organization', 'items': [{'name': 'test', 'display_name': 'SANSA Catalogue Satellite Scenes', 'count': 7}, {'name': 'sansa', 'display_name': 'SANSA', 'count': 37}, {'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'display_name': 'NRF-SAIAB', 'count': 16}, {'name': 'saeon', 'display_name': 'NRF-SAEON', 'count': 19}, {'name': 'municipal-demarcation-board', 'display_name': 'MDB', 'count': 3}, {'name': 'dffe', 'display_name': 'DFFE', 'count': 9}]}, 'groups': {'title': 'groups', 'items': []}, 'tags': {'title': 'tags', 'items': [{'name': 'yield estimation', 'display_name': 'yield estimation', 'count': 3}, {'name': 'water and land sustainability', 'display_name': 'water and land sustainability', 'count': 5}, {'name': 'soil moisture', 'display_name': 'soil moisture', 'count': 3}, {'name': 'reson', 'display_name': 'reson', 'count': 4}, {'name': 'residue', 'display_name': 'residue', 'count': 2}, {'name': 'potential', 'display_name': 'potential', 'count': 2}, {'name': 'pinus taeda', 'display_name': 'pinus taeda', 'count': 2}, {'name': 'multibeam bathymetry', 'display_name': 'multibeam bathymetry', 'count': 7}, {'name': 'mesozones', 'display_name': 'mesozones', 'count': 3}, {'name': 'mean annual temperature', 'display_name': 'mean annual temperature', 'count': 2}, {'name': 'mean annual precipitation', 'display_name': 'mean annual precipitation', 'count': 2}, {'name': 'marine environment monitoring', 'display_name': 'marine environment monitoring', 'count': 2}, {'name': 'land use', 'display_name': 'land use', 'count': 3}, {'name': 'land cover', 'display_name': 'land cover', 'count': 3}, {'name': 'hydrographic', 'display_name': 'hydrographic', 'count': 7}, {'name': 'growth areas', 'display_name': 'growth areas', 'count': 6}, {'name': 'general', 'display_name': 'general', 'count': 7}, {'name': 'biomass', 'display_name': 'biomass', 'count': 6}, {'name': 'bathymetry', 'display_name': 'bathymetry', 'count': 13}, {'name': 'agriculture', 'display_name': 'agriculture', 'count': 8}, {'name': 'acacia mearnsii', 'display_name': 'acacia mearnsii', 'count': 1}, {'name': 'aboveground woody biomass', 'display_name': 'aboveground woody biomass', 'count': 1}, {'name': 'Socio-economic', 'display_name': 'Socio-economic', 'count': 2}, {'name': 'Settlement', 'display_name': 'Settlement', 'count': 2}, {'name': 'SPOT4', 'display_name': 'SPOT4', 'count': 2}, {'name': 'SPOT', 'display_name': 'SPOT', 'count': 1}, {'name': 'SGB systems', 'display_name': 'SGB systems', 'count': 7}, {'name': 'Optimum growth area', 'display_name': 'Optimum growth area', 'count': 5}, {'name': 'Oceans', 'display_name': 'Oceans', 'count': 17}, {'name': 'Municipalities', 'display_name': 'Municipalities', 'count': 1}, {'name': 'Images', 'display_name': 'Images', 'count': 2}, {'name': 'Imagery-Basemaps-Earth Cover', 'display_name': 'Imagery-Basemaps-Earth Cover', 'count': 38}, {'name': 'Hazards and vulnerability', 'display_name': 'Hazards and vulnerability', 'count': 1}, {'name': 'Forestry distribution', 'display_name': 'Forestry distribution', 'count': 4}, {'name': 'Farming', 'display_name': 'Farming', 'count': 3}, {'name': 'Environment', 'display_name': 'Environment', 'count': 9}, {'name': 'Energy', 'display_name': 'Energy', 'count': 2}, {'name': 'Economic vulnerability', 'display_name': 'Economic vulnerability', 'count': 1}, {'name': 'Demography', 'display_name': 'Demography', 'count': 1}, {'name': 'Commercial forestry', 'display_name': 'Commercial forestry', 'count': 5}, {'name': 'Commercial cropping system', 'display_name': 'Commercial cropping system', 'count': 1}, {'name': 'Commercial crop system', 'display_name': 'Commercial crop system', 'count': 2}, {'name': 'Commercial Crop Systems', 'display_name': 'Commercial Crop Systems', 'count': 2}, {'name': 'Climatology-Meteorology-Atmosphere', 'display_name': 'Climatology-Meteorology-Atmosphere', 'count': 2}, {'name': 'Climate science', 'display_name': 'Climate science', 'count': 1}, {'name': 'Boundaries', 'display_name': 'Boundaries', 'count': 3}, {'name': 'Biophysical variables', 'display_name': 'Biophysical variables', 'count': 1}, {'name': 'Bioenergy', 'display_name': 'Bioenergy', 'count': 3}, {'name': 'Agriculture', 'display_name': 'Agriculture', 'count': 5}, {'name': 'Acacia mearnsii', 'display_name': 'Acacia mearnsii', 'count': 1}]}, 'res_format': {'title': 'res_format', 'items': [{'name': 'url', 'display_name': 'url', 'count': 1}, {'name': 'SHP', 'display_name': 'SHP', 'count': 3}, {'name': 'PDF', 'display_name': 'PDF', 'count': 9}, {'name': 'JSON', 'display_name': 'JSON', 'count': 7}, {'name': 'Geo-Tiff', 'display_name': 'Geo-Tiff', 'count': 1}, {'name': 'GEOMAP', 'display_name': 'GEOMAP', 'count': 6}, {'name': '/', 'display_name': '/', 'count': 2}, {'name': '.geotiff', 'display_name': '.geotiff', 'count': 1}, {'name': '.geoTIFF', 'display_name': '.geoTIFF', 'count': 1}]}, 'license_id': {'title': 'license_id', 'items': []}, 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| session | {'_domain': None, '_path': '/', '_accessed_time': 1793577176.3770945, '_creation_time': 1793577176.3770945} |
| title | 'Groups' |
| ungettext | <function ungettext at 0x7f5b28311670> |
| 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 | 'harvest_source_title' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=multibeam+bathymetry&tags=Climatology-Meteorology-Atmosphere&tags=Commercial+cropping+system&organization=sansa&featured=true' [GET]> |
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| session | {'_domain': None, '_path': '/', '_accessed_time': 1793577176.3770945, '_creation_time': 1793577176.3770945} |
| title | 'Harvest source' |
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| name | 'featured' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?harvest_source_title=CatalogueHarvest&tags=Environment&tags=mean+annual+temperature&tags=marine+environment+monitoring&tags=Boundaries&tags=yield+estimation&featured=true&organization=dffe' [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': 1793577176.129559, '_creation_time': 1793577176.129559} |
| title | 'Featured Metadata records' |
| ungettext | <function ungettext at 0x7f5b28311670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| name | 'topic_and_saeoss_themes' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?harvest_source_title=CatalogueHarvest&tags=Environment&tags=mean+annual+temperature&tags=marine+environment+monitoring&tags=Boundaries&tags=yield+estimation&featured=true&organization=dffe' [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': []}, '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': 1793577176.129559, '_creation_time': 1793577176.129559} |
| title | 'Topic Category' |
| ungettext | <function ungettext at 0x7f5b28311670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| name | 'tags' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?harvest_source_title=CatalogueHarvest&tags=Environment&tags=mean+annual+temperature&tags=marine+environment+monitoring&tags=Boundaries&tags=yield+estimation&featured=true&organization=dffe' [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': []}, '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': 1793577176.129559, '_creation_time': 1793577176.129559} |
| title | 'Tags' |
| ungettext | <function ungettext at 0x7f5b28311670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| count | 24 |
| error | False |
| facets | Undefined |
| fields | [('harvest_source_title', 'CatalogueHarvest'), ('tags', 'Environment'), ('tags', 'mean annual temperature'), ('tags', 'marine environment monitoring'), ('tags', 'Boundaries'), ('tags', 'yield estimation'), ('featured', 'true'), ('organization', 'dffe')] |
| form_id | 'dataset-search-form' |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| placeholder | Markup('Search metadata records..') |
| query | '' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?harvest_source_title=CatalogueHarvest&tags=Environment&tags=mean+annual+temperature&tags=marine+environment+monitoring&tags=Boundaries&tags=yield+estimation&featured=true&organization=dffe' [GET]> |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793577176.129559, '_creation_time': 1793577176.129559} |
| show_empty | Undefined |
| sorting_selected | 'score desc, metadata_modified desc' |
| type | 'dataset' |
| ungettext | <function ungettext at 0x7f5b28311670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| map_config | {} |
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| session | {'_domain': None, '_path': '/', '_accessed_time': 1793577176.129559, '_creation_time': 1793577176.129559} |
| ungettext | <function ungettext at 0x7f5b28311670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
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| 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/?harvest_source_title=CatalogueHarvest&tags=Environment&tags=mean+annual+temperature&tags=marine+environment+monitoring&tags=Boundaries&tags=yield+estimation&featured=true&organization=dffe' [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': 1793577176.129559, '_creation_time': 1793577176.129559} |
| title | 'Organizations' |
| ungettext | <function ungettext at 0x7f5b28311670> |
| Variable | Value |
|---|---|
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| name | 'groups' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?harvest_source_title=CatalogueHarvest&tags=Environment&tags=mean+annual+temperature&tags=marine+environment+monitoring&tags=Boundaries&tags=yield+estimation&featured=true&organization=dffe' [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': 1793577176.129559, '_creation_time': 1793577176.129559} |
| title | 'Groups' |
| ungettext | <function ungettext at 0x7f5b28311670> |
| 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 | 'harvest_source_title' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?harvest_source_title=CatalogueHarvest&tags=Environment&tags=mean+annual+temperature&tags=marine+environment+monitoring&tags=Boundaries&tags=yield+estimation&featured=true&organization=dffe' [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': []}, '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': 1793577176.129559, '_creation_time': 1793577176.129559} |
| title | 'Harvest source' |
| ungettext | <function ungettext at 0x7f5b28311670> |
| 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 | 'Featured Metadata records' |
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| name | 'topic_and_saeoss_themes' |
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| title | 'Topic Category' |
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| name | 'tags' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=growth+areas&tags=yield+estimation&tags=Oceans&tags=Climatology-Meteorology-Atmosphere&tags=agriculture&organization=dffe' [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': 1793577175.7999866, '_creation_time': 1793577175.7999866} |
| title | 'Tags' |
| ungettext | <function ungettext at 0x7f5b28311670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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Papaya needs relatively little water in the rainy summer season in South Africa, but if irrigated every 2 weeks in the dry season it is well adapted to hot, dry areas as the fruit then matures early and is then highly palatable owing to its high sugar content (Smith, 1998). Papaya has high heat requirements, with average daily temperatures for optimum growth between 20 and 30 degree Celsius. Determination of climatically optimum growth areas for Papaya in South Africa is based on the expert knowledge of Bower (2005) and Moll (2005), climatically optimum growth areas were determined according to the four basic criteria: Criterion 1: Heat units (base 12 degree Celsius) should exceed 2 000 days per annum, Criterion 2: Optimum areas should have a low frequency of 4 consecutive days with maximum temperatures > 36 degree Celsius, Criterion 3: Monthly means of daily average temperatures in December and January should be 23 degree Celsius - 30 degree Celsius and Criterion 4: Optimum growth areas should have a low frequency of 4 consecutive days with minimum temperatures < 17 degree Celsius. Using the 50 year time series of quality controlled daily maximum and minimum temperatures generated by Schulze and Maharaj (2004) at a spatial resolution of 1 arc minute (i.e. 1` x 1` of a degree latitude/longitude), the above four temperature based criteria were first mapped individually and then superimposed to determine the climatically optimum growth areas of papaya in South Africa.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T11:08:39.531145', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T11:11:28.922543', 'metadata_thumbnail': '', 'name': 'climatically_optimum_growth_areas_papaya_composite_of_all_criteria', 'notes': 'Papaya, or pawpaw (Carica papaya) is a tropical fruit grown widely between latitudes 32 degree N and S. High in Vitamin C, papaya is indigenous to tropical America (ARC, 2005). 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Determination of climatically optimum growth areas for Papaya in South Africa is based on the expert knowledge of Bower (2005) and Moll (2005), climatically optimum growth areas were determined according to the four basic criteria: Criterion 1: Heat units (base 12 degree Celsius) should exceed 2 000 days per annum, Criterion 2: Optimum areas should have a low frequency of 4 consecutive days with maximum temperatures > 36 degree Celsius, Criterion 3: Monthly means of daily average temperatures in December and January should be 23 degree Celsius - 30 degree Celsius and Criterion 4: Optimum growth areas should have a low frequency of 4 consecutive days with minimum temperatures < 17 degree Celsius. 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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/SARVA.BEEH.10000186', 'featured': 'false', 'id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': ' Criteria for climatically optimum growth areas for passion fruit were refined by Bower (2005). Six criteria were identified and using the 1` x 1` gridded information on temperature related parameters derived by Schulze and Maharaj (2004), the following criteria were mapped: Criterion 1: > 330 days per year with a minimum temperature exceeding 2 degree Celsius; Criterion 2: Fewer than 2 consecutive days per annum with minimum temperatures < -2 degree Celsius; Criterion 3: There should not be > 3 consecutive frost days per annum; Criterion 4: In total, there should be < 25 days per annum with frost; Criterion 5: Maximum temperatures should be < 28 degree Celsius on at least 25 days of each month; Criterion 6: Maximum temperatures should not exceed 35 degree Celsius on any two consecutive days per month. Mapped criteria were given either categorical or probabilistic weightings and when the six maps were superimposed, suitable and less suitable climatically optimum growth areas could be identified.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T10:04:49.448189', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T10:07:55.203305', 'metadata_thumbnail': '', 'name': 'climatically_optimum_growth_areas-_passion_fruit_composite_of_all_criteria', 'notes': 'Passion fruit are believed to have originated from southern Brazil (Kenyaweb, 2005).The most commonly commercially grown of 55 edible species of passion fruit is Passiflora edulis, which consists of perennial woody vines with each producing about 100 fruits per year (RBGK, 2005). In South Africa passion fruit ideally requires a cool subtropical climate for optimum production (Smith, 1998). The vines prefer moderate temperatures throughout the year, with monthly means of daily maxima < 29 degree Celsius. The plants are sensitive to severe frosts, and monthly means of minimum temperatures should be > 6 degree Celsius (NDA, 2005). For commercial production under rainfed conditions MAP should ideally exceed 1 200 mm and be well distributed throughout the year (NDA, 2005), as it is important to maintain the soil moist throughout the growing season to keep the vines flowering and fruiting for longer periods and prevent the fruit from shriveling and falling prematurely (Kenyaweb, 2005). Total commercial production of passion fruit in South Africa is 1 300t per season, with a range (between 1998/9 - 2003/4) in more recent from 900 - 1 700 t (NDA, 2005).The gross value is R65 million/year (NDA, 2005). Criteria for climatically optimum growth areas for passion fruit were refined by Bower (2005). Six criteria were identified and using the 1` x 1` gridded information on temperature related parameters derived by Schulze and Maharaj (2004), the following criteria were mapped: Criterion 1: > 330 days per year with a minimum temperature exceeding 2 degree Celsius; Criterion 2: Fewer than 2 consecutive days per annum with minimum temperatures < -2 degree Celsius; Criterion 3: There should not be > 3 consecutive frost days per annum; Criterion 4: In total, there should be < 25 days per annum with frost; Criterion 5: Maximum temperatures should be < 28 degree Celsius on at least 25 days of each month; Criterion 6: Maximum temperatures should not exceed 35 degree Celsius on any two consecutive days per month. Mapped criteria were given either categorical or probabilistic weightings and when the six maps were superimposed, suitable and less suitable climatically optimum growth areas could be identified. ', 'num_resources': 1, 'num_tags': 10, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.458333, -34.841667], [32.908333, -34.841667], [32.908333, -22.141667], [16.458333, -22.141667], [16.458333, -34.841667]]]}', 'state': 'active', 'title': 'Climatically Optimum Growth Areas (Passion Fruit) Composite Of All Criteria', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'SAEON', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2007-01-01T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'https://catalogue.saeon.ac.za/records/10.15493/SARVA.BEEH.10000186', 'name': 'Climatically Optimum Growth Areas (Passion Fruit) Composite Of All Criteria'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-17T10:05:36.992639', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': '9d64a80d-8520-4035-b2c0-64b3a5308189', 'last_modified': None, 'metadata_modified': '2025-10-17T10:05:36.987063', 'mimetype': None, 'mimetype_inner': None, 'name': 'Climatically Optimum Growth Areas (Passion Fruit) Composite Of All Criteria', 'package_id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://repository.saeon.ac.za/index.php/s/KDwnyqAwyrwkwrM?opendetails=', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'R.E. Schulze & M. 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E. benthamii is less tolerant of low MAPs than E. badjensis, with > 850 mm MAP required for optimal growth (Kunz, 2004).This species is susceptible to snow damage (Kunz, 2004).', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T09:11:46.432943', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T09:40:33.467393', 'metadata_thumbnail': '', 'name': 'climatically_suitable_growth_areas_for_eucalyptus_benthamii', 'notes': 'Commonly named the Camden White Oak, Eucalyptus benthamii, is a tall, smooth-barked. It is a cool climate species, growing optimally at MATs between 14 and 18 degree Celsius. E. benthamii is less tolerant of low MAPs than E. badjensis, with > 850 mm MAP required for optimal growth (Kunz, 2004).This species is susceptible to snow damage (Kunz, 2004).', '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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By providing the high resolution climate metric surfaces and uncertainties, this work facilitates richer and more robust predictive modeling in ecology and bio- geography. These data can be incorporated into ecological models to propagate the uncertainties through to the final predictions', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-16T11:32:14.831108', 'metadata_date': '2016-01-01T00:00', 'metadata_modified': '2025-10-17T09:38:59.712167', 'metadata_thumbnail': '', 'name': 'interpolated_observed_weather_data_for_the_cape_floristic_region', 'notes': 'Conservation of biodiversity demands comprehension of evolutionary and ecological patterns and processes that occur over vast spatial and temporal scales. A central goal of ecology is to understand the climatic factors that control ecological processes and this has become even more important in the face of climate change. Especially at global scales, there can be enormous uncertainty in underlying environmental data used to explain ecological processes, but that uncertainty is rarely quantified or incorporated into ecological models. In this study a climate-aided Bayesian kriging approach is used to interpolate 20 years of daily meteorological observations (maximum and minimum temperature and precipitation) to a 1 arc-minute grid for the Cape Floristic Region of South Africa. Independent validation data revealed overall predictive performance of the interpolation to have R2 values of 0.90, 0.85, and 0.59 for maximum temperature, minimum temperature, and precipitation, respectively. A suite of ecologically-relevant climate metrics that include the uncertainty introduced by the interpolation were then generated. By providing the high resolution climate metric surfaces and uncertainties, this work facilitates richer and more robust predictive modeling in ecology and bio- geography. 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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": [[[16.45214, -34.8341698957], [32.8925317467, -34.8341698957], [32.8925317467, -22.12503], [16.45214, -22.12503], [16.45214, -34.8341698957]]]}', 'state': 'active', 'title': 'Availability of Sugar Cane Field Residues', '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.10000074', 'name': 'Availability of Sugar Cane Field Residues'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-09-25T13:52:53.602259', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': '736c3288-9873-40c9-b235-d3694cd201f3', 'last_modified': None, 'metadata_modified': '2025-09-25T13:52:53.567175', 'mimetype': None, 'mimetype_inner': None, 'name': 'Availability of Sugar Cane Field Residues', 'package_id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://repository.saeon.ac.za/index.php/s/aa5pAfNjzabbcjF', 'url_type': 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': []} |
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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/NRF.SAIAB.20232503', 'featured': 'false', 'id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'This dataset consists of XYZ points below the sea surface and relative to the mean sea level. This data was collected under the ACEP SMART ZONES MPA project (2021 – 2023) using the ACEP Geophysics and Mapping Platform.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-11T13:54:29.780880', 'metadata_date': '202301-02-06T00:00', 'metadata_modified': '2025-09-12T08:46:26.411995', 'metadata_thumbnail': '', 'name': 'bathymetry_data_collected_from_rosie_snowball_july_2021', 'notes': "This dataset forms part of the South African Institute for Aquatic Biodiversity (SAIAB)'s collection of Bathymetry data for the African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA. This multi-disciplinary study will begin at the start of the implementation of two new MPAs (uThukela MPA and Protea Banks MPA, both proclaimed in 2019), and will generate the relevant data needed to underpin an evidence-based approach to adaptive management of the MPAs, within a “SMART” framework. This framework defines specific objectives for the different MPA zones; and develops measurable indicators of success for each zone. It also sets achievable goals given the limited resources available for planning and management. This ensures that the research findings are relevant (to both biodiversity and human stakeholders). This is a rare time-sensitive opportunity to conduct baseline surveys of the geology, benthic biodiversity (sessile and mobile species), reef-associated ichthyoplankton and mero-zooplankton and fish communities of mesophotic (40-150m) soft-coral and sponge-dominated reefs and submarine habitats located in three different management zones at the initiation of management of two brand new MPAs, against which long-term monitoring data can be compared to assess the effectiveness of the MPAs in achieving their objectives. The balanced sampling design is such that it will also initiate a “natural experiment” that over time will investigate the effect of no-take zones on fish diversity and abundance, benthic community structure, and trophic complexity. This will also enable the determination of the value of the MPA for fisheries sustainability support and resilience to disturbances caused by extrinsic factors such as pollution or climate change. Additionally, this study will assess whether the zonation plans provide for representation of all reef and canyon types within each zone or if there is unbalanced coverage for certain reefs and in certain zones. This is important to assess the initiation of the MPA, especially to ensure that the interpretation of monitoring results in future to compare ecosystems and fish on reefs and canyons in the mesophotic zone are not flawed by natural differences from the outset due to the selection of zone boundaries. This dataset consists of XYZ points below the sea surface and relative to the mean sea level. This data was collected under the ACEP SMART ZONES MPA project (2021 – 2023) using the ACEP Geophysics and Mapping Platform.", 'num_resources': 1, 'num_tags': 6, 'organization': {'id': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'title': 'NRF-SAIAB', 'type': 'organization', 'description': 'The South African Institute for Aquatic Biodiversity (NRF-SAIAB) is a national facility of the National Research Foundation (NRF). 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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/NRF.SAIAB.20232516', 'featured': 'false', 'id': '209cd0fd-d80b-492e-969e-e8223d010104', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'This dataset consists of locations below the surface of the water where the depth of water is precisely known relative to MSL. Sessile and mobile epibenthic invertebrates are organisms that are part of the benthic community.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-11T14:21:53.400156', 'metadata_date': '2023-01-27T00:00', 'metadata_modified': '2025-09-12T08:29:23.503760', 'metadata_thumbnail': '', 'name': 'bathymetry_data_collected_from_mobile_epibenthic_invertebrate_stations_november_2022', 'notes': "This dataset forms part of the South African Institute for Aquatic Biodiversity (SAIAB)'s collection of Bathymetry data for the African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA. This dataset is used for seabed analysis, the interpretation and creation of derivatives for geomorphological and statistical analysis in comparison with biological metrics. This dataset consists of locations below the surface of the water where the depth of water is precisely known relative to MSL. Sessile and mobile epibenthic invertebrates are organisms that are part of the benthic community. These organisms perform crucial roles and ecosystem services that benefit the benthic community and marine environment as a whole. These organisms’ distribution is affected by many abiotic and biotic factors. This study aims to determine the distribution of both the mobile and sessile epibenthic invertebrates and to investigate the relationship between the mobile and sessile epibenthic invertebrates. The objectives are to measure the abundance and composition of both the mobile and sessile epibenthic invertebrates found on the inner continental shelf of Umhlanga, KwaZulu-Natal and to analyze the statistical relationship between the sessile epibenthic assemblage data and the mobile epibenthic assemblage data. These aims and objectives will be satisfied by sampling on the Umhlanga coast using a drop camera and a baited drop camera. Multivariate tests were run on the abundance data and a Pearson’s correlation test for the relationship between the mobile and sessile epibenthic invertebrates. This study will provide new data on the presence and abundance of understudied mobile invertebrates inhabiting unconsolidated sediments of the KZN inner continental shelf and contribute to our understanding of the relationship between sessile and mobile invertebrate epifauna on the unconsolidated inner continental shelf. It will also test and establish the usefulness of a baited drop-camera for sampling epibenthic invertebrates.", 'num_resources': 1, 'num_tags': 6, 'organization': {'id': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'title': 'NRF-SAIAB', 'type': 'organization', 'description': 'The South African Institute for Aquatic Biodiversity (NRF-SAIAB) is a national facility of the National Research Foundation (NRF). The NRF-SAIAB contributes to two National Operation Phakisa Labs through which South Africa has identified the potential to develop the Biodiversity Economy and the Blue Economy.', 'image_url': '2025-09-11-081630.579961SouthAfricanInstituteforAquaticBiodiversitylogo.svg.png', 'created': '2025-09-11T08:16:30.612011', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[31.115365, -29.803761], [31.185535, -29.803761], [31.185535, -29.748017], [31.115365, -29.748017], [31.115365, -29.803761]]]}', 'state': 'active', 'title': 'Bathymetry data collected from Mobile Epibenthic Invertebrate Stations, November 2022', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'T.Wanda@saiab.nrf.ac.za', 'individual_name': 'Thamsanqa Wanda', 'position_name': 'Geologist', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2023-01-27T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'http://doi.org/10.15493/NRF.SAIAB.20232516', 'name': 'bathymetry_data_collected_from_mobile_epibenthic_invertebrate_stations_november_2022'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-09-11T14:22:17.751814', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': 'f6492885-e526-4883-ba79-61a161dc0806', 'last_modified': None, 'metadata_modified': '2025-09-12T08:29:23.519836', 'mimetype': None, 'mimetype_inner': None, 'name': 'Bathymetry data collected from Mobile Epibenthic Invertebrate Stations, November 2022', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'position': 0, 'resource_type': None, 'size': None, 'state': 'active', 'url': 'https://catalogue.saeon.ac.za/list/records/10.15493/NRF.SAIAB.20232516?search=68c2b42da71d058a420b0236&disableSidebar=false&showSearchBar=true', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'South African Institute for Aquatic Biodiversity ', 'position_name': 'SAIAB', 'role': 'owner', 'website': 'https://nrfsaiab.wixsite.com/gemapocean'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': 'Makhanda', 'delivery_point': 'Somerset Street', 'postal_code': '6139'}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Oceans', 'id': '2547e672-a968-4048-814b-29a682525254', 'name': 'Oceans', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'SGB systems', 'id': 'e90bd4d4-da24-418e-a5b1-f9d0cf063793', 'name': 'SGB systems', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'bathymetry', 'id': '84d64091-149a-4cd4-bf97-f828e908fe76', 'name': 'bathymetry', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'hydrographic', 'id': '903bf930-556a-402c-a784-3c57de8bc65b', 'name': 'hydrographic', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'multibeam bathymetry', 'id': '1fe9236d-3571-4fe0-9305-f1b40579e991', 'name': 'multibeam bathymetry', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'reson', 'id': '4ff1fff4-deb9-4256-a9c0-f03802b2d0e7', 'name': 'reson', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'oceans'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []} |
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| packages | [{'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/SARVA.BEEH.10000179', 'featured': 'false', 'id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'Papaya, or pawpaw (Carica papaya) is a tropical fruit grown widely between latitudes 32 degree N and S. High in Vitamin C, papaya is indigenous to tropical America (ARC, 2005). This fruit, initially brought to the attention of Europe around 1520, was introduced to South Africa in seed form by Jan van Riebeeck in 1652, but only grown commercially in the Lowveld of Mpumalanga for the first time in the early 20th century by a Captain Elphick (ARC, 2005). Papaya needs relatively little water in the rainy summer season in South Africa, but if irrigated every 2 weeks in the dry season it is well adapted to hot, dry areas as the fruit then matures early and is then highly palatable owing to its high sugar content (Smith, 1998). Papaya has high heat requirements, with average daily temperatures for optimum growth between 20 and 30 degree Celsius. Determination of climatically optimum growth areas for Papaya in South Africa is based on the expert knowledge of Bower (2005) and Moll (2005), climatically optimum growth areas were determined according to the four basic criteria: Criterion 1: Heat units (base 12 degree Celsius) should exceed 2 000 days per annum, Criterion 2: Optimum areas should have a low frequency of 4 consecutive days with maximum temperatures > 36 degree Celsius, Criterion 3: Monthly means of daily average temperatures in December and January should be 23 degree Celsius - 30 degree Celsius and Criterion 4: Optimum growth areas should have a low frequency of 4 consecutive days with minimum temperatures < 17 degree Celsius. Using the 50 year time series of quality controlled daily maximum and minimum temperatures generated by Schulze and Maharaj (2004) at a spatial resolution of 1 arc minute (i.e. 1` x 1` of a degree latitude/longitude), the above four temperature based criteria were first mapped individually and then superimposed to determine the climatically optimum growth areas of papaya in South Africa.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T11:08:39.531145', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T11:11:28.922543', 'metadata_thumbnail': '', 'name': 'climatically_optimum_growth_areas_papaya_composite_of_all_criteria', 'notes': 'Papaya, or pawpaw (Carica papaya) is a tropical fruit grown widely between latitudes 32 degree N and S. High in Vitamin C, papaya is indigenous to tropical America (ARC, 2005). This fruit, initially brought to the attention of Europe around 1520, was introduced to South Africa in seed form by Jan van Riebeeck in 1652, but only grown commercially in the Lowveld of Mpumalanga for the first time in the early 20th century by a Captain Elphick (ARC, 2005). Papaya needs relatively little water in the rainy summer season in South Africa, but if irrigated every 2 weeks in the dry season it is well adapted to hot, dry areas as the fruit then matures early and is then highly palatable owing to its high sugar content (Smith, 1998). Papaya has high heat requirements, with average daily temperatures for optimum growth between 20 and 30 degree Celsius. Determination of climatically optimum growth areas for Papaya in South Africa is based on the expert knowledge of Bower (2005) and Moll (2005), climatically optimum growth areas were determined according to the four basic criteria: Criterion 1: Heat units (base 12 degree Celsius) should exceed 2 000 days per annum, Criterion 2: Optimum areas should have a low frequency of 4 consecutive days with maximum temperatures > 36 degree Celsius, Criterion 3: Monthly means of daily average temperatures in December and January should be 23 degree Celsius - 30 degree Celsius and Criterion 4: Optimum growth areas should have a low frequency of 4 consecutive days with minimum temperatures < 17 degree Celsius. Using the 50 year time series of quality controlled daily maximum and minimum temperatures generated by Schulze and Maharaj (2004) at a spatial resolution of 1 arc minute (i.e. 1` x 1` of a degree latitude/longitude), the above four temperature based criteria were first mapped individually and then superimposed to determine the climatically optimum growth areas of papaya in South Africa.', 'num_resources': 1, 'num_tags': 11, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. 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'lineage_statement': '"Data was derived from the following sources: *The extent of sugar cane cultivation was determined from digitisation of maps published in Gers (2003). * This extent was correlated with two additional sources: crop extent published by DAFF (2014), which excludes sugar cane production and could be used as a verification of extent, and Land Use data (FAO, 2011), which could be used to verify the finer extent of cultivation. * Sugar cane theoretical yields were applied from Schulze, Hull, and Maharaj (2007).', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-25T13:51:51.505431', 'metadata_date': '2015-01-01T00:00', 'metadata_modified': '2025-10-17T09:37:57.386121', 'metadata_thumbnail': '', 'name': 'availability_of_sugar_cane_field_residues', 'notes': 'Data was derived from the following sources: *The extent of sugar cane cultivation was determined from digitisation of maps published in Gers (2003). * This extent was correlated with two 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| name | 'featured' |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=growth+areas&tags=yield+estimation&tags=Oceans&tags=Climatology-Meteorology-Atmosphere&tags=agriculture&organization=test' [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': 1793577175.831968, '_creation_time': 1793577175.831968} |
| title | 'Featured Metadata records' |
| ungettext | <function ungettext at 0x7f5b28311670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=growth+areas&tags=yield+estimation&tags=Oceans&tags=Climatology-Meteorology-Atmosphere&tags=agriculture&organization=test' [GET]> |
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| title | 'Tags' |
| ungettext | <function ungettext at 0x7f5b28311670> |
| Variable | Value |
|---|---|
| c | <flask.g of 'ckan.config.middleware.flask_app'> |
| g | <flask.g of 'ckan.config.middleware.flask_app'> |
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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/SARVA.BEEH.10000179', 'featured': 'false', 'id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'Papaya, or pawpaw (Carica papaya) is a tropical fruit grown widely between latitudes 32 degree N and S. High in Vitamin C, papaya is indigenous to tropical America (ARC, 2005). This fruit, initially brought to the attention of Europe around 1520, was introduced to South Africa in seed form by Jan van Riebeeck in 1652, but only grown commercially in the Lowveld of Mpumalanga for the first time in the early 20th century by a Captain Elphick (ARC, 2005). Papaya needs relatively little water in the rainy summer season in South Africa, but if irrigated every 2 weeks in the dry season it is well adapted to hot, dry areas as the fruit then matures early and is then highly palatable owing to its high sugar content (Smith, 1998). Papaya has high heat requirements, with average daily temperatures for optimum growth between 20 and 30 degree Celsius. Determination of climatically optimum growth areas for Papaya in South Africa is based on the expert knowledge of Bower (2005) and Moll (2005), climatically optimum growth areas were determined according to the four basic criteria: Criterion 1: Heat units (base 12 degree Celsius) should exceed 2 000 days per annum, Criterion 2: Optimum areas should have a low frequency of 4 consecutive days with maximum temperatures > 36 degree Celsius, Criterion 3: Monthly means of daily average temperatures in December and January should be 23 degree Celsius - 30 degree Celsius and Criterion 4: Optimum growth areas should have a low frequency of 4 consecutive days with minimum temperatures < 17 degree Celsius. Using the 50 year time series of quality controlled daily maximum and minimum temperatures generated by Schulze and Maharaj (2004) at a spatial resolution of 1 arc minute (i.e. 1` x 1` of a degree latitude/longitude), the above four temperature based criteria were first mapped individually and then superimposed to determine the climatically optimum growth areas of papaya in South Africa.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T11:08:39.531145', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T11:11:28.922543', 'metadata_thumbnail': '', 'name': 'climatically_optimum_growth_areas_papaya_composite_of_all_criteria', 'notes': 'Papaya, or pawpaw (Carica papaya) is a tropical fruit grown widely between latitudes 32 degree N and S. High in Vitamin C, papaya is indigenous to tropical America (ARC, 2005). This fruit, initially brought to the attention of Europe around 1520, was introduced to South Africa in seed form by Jan van Riebeeck in 1652, but only grown commercially in the Lowveld of Mpumalanga for the first time in the early 20th century by a Captain Elphick (ARC, 2005). Papaya needs relatively little water in the rainy summer season in South Africa, but if irrigated every 2 weeks in the dry season it is well adapted to hot, dry areas as the fruit then matures early and is then highly palatable owing to its high sugar content (Smith, 1998). Papaya has high heat requirements, with average daily temperatures for optimum growth between 20 and 30 degree Celsius. Determination of climatically optimum growth areas for Papaya in South Africa is based on the expert knowledge of Bower (2005) and Moll (2005), climatically optimum growth areas were determined according to the four basic criteria: Criterion 1: Heat units (base 12 degree Celsius) should exceed 2 000 days per annum, Criterion 2: Optimum areas should have a low frequency of 4 consecutive days with maximum temperatures > 36 degree Celsius, Criterion 3: Monthly means of daily average temperatures in December and January should be 23 degree Celsius - 30 degree Celsius and Criterion 4: Optimum growth areas should have a low frequency of 4 consecutive days with minimum temperatures < 17 degree Celsius. Using the 50 year time series of quality controlled daily maximum and minimum temperatures generated by Schulze and Maharaj (2004) at a spatial resolution of 1 arc minute (i.e. 1` x 1` of a degree latitude/longitude), the above four temperature based criteria were first mapped individually and then superimposed to determine the climatically optimum growth areas of papaya in South Africa.', 'num_resources': 1, 'num_tags': 11, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.458333, -34.841667], [32.908333, -34.841667], [32.908333, -22.141667], [16.458333, -22.141667], [16.458333, -34.841667]]]}', 'state': 'active', 'title': 'Climatically Optimum Growth Areas Papaya Composite Of All Criteria', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'SAEON', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2007-01-01T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'https://catalogue.saeon.ac.za/records/10.15493/SARVA.BEEH.10000179', 'name': 'Climatically Optimum Growth Areas Papaya Composite Of All Criteria'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-17T11:09:12.315516', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': '7e81d0b1-3193-41ab-bc15-c5cc65df8b56', 'last_modified': None, 'metadata_modified': '2025-10-17T11:09:12.305341', 'mimetype': None, 'mimetype_inner': None, 'name': 'Climatically Optimum Growth Areas Papaya Composite Of All Criteria', 'package_id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://repository.saeon.ac.za/index.php/s/2yTF8TY7xDMA8fH?opendetails=', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'R.E. 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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/SARVA.BEEH.10000186', 'featured': 'false', 'id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': ' Criteria for climatically optimum growth areas for passion fruit were refined by Bower (2005). Six criteria were identified and using the 1` x 1` gridded information on temperature related parameters derived by Schulze and Maharaj (2004), the following criteria were mapped: Criterion 1: > 330 days per year with a minimum temperature exceeding 2 degree Celsius; Criterion 2: Fewer than 2 consecutive days per annum with minimum temperatures < -2 degree Celsius; Criterion 3: There should not be > 3 consecutive frost days per annum; Criterion 4: In total, there should be < 25 days per annum with frost; Criterion 5: Maximum temperatures should be < 28 degree Celsius on at least 25 days of each month; Criterion 6: Maximum temperatures should not exceed 35 degree Celsius on any two consecutive days per month. Mapped criteria were given either categorical or probabilistic weightings and when the six maps were superimposed, suitable and less suitable climatically optimum growth areas could be identified.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T10:04:49.448189', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T10:07:55.203305', 'metadata_thumbnail': '', 'name': 'climatically_optimum_growth_areas-_passion_fruit_composite_of_all_criteria', 'notes': 'Passion fruit are believed to have originated from southern Brazil (Kenyaweb, 2005).The most commonly commercially grown of 55 edible species of passion fruit is Passiflora edulis, which consists of perennial woody vines with each producing about 100 fruits per year (RBGK, 2005). In South Africa passion fruit ideally requires a cool subtropical climate for optimum production (Smith, 1998). The vines prefer moderate temperatures throughout the year, with monthly means of daily maxima < 29 degree Celsius. The plants are sensitive to severe frosts, and monthly means of minimum temperatures should be > 6 degree Celsius (NDA, 2005). For commercial production under rainfed conditions MAP should ideally exceed 1 200 mm and be well distributed throughout the year (NDA, 2005), as it is important to maintain the soil moist throughout the growing season to keep the vines flowering and fruiting for longer periods and prevent the fruit from shriveling and falling prematurely (Kenyaweb, 2005). Total commercial production of passion fruit in South Africa is 1 300t per season, with a range (between 1998/9 - 2003/4) in more recent from 900 - 1 700 t (NDA, 2005).The gross value is R65 million/year (NDA, 2005). Criteria for climatically optimum growth areas for passion fruit were refined by Bower (2005). Six criteria were identified and using the 1` x 1` gridded information on temperature related parameters derived by Schulze and Maharaj (2004), the following criteria were mapped: Criterion 1: > 330 days per year with a minimum temperature exceeding 2 degree Celsius; Criterion 2: Fewer than 2 consecutive days per annum with minimum temperatures < -2 degree Celsius; Criterion 3: There should not be > 3 consecutive frost days per annum; Criterion 4: In total, there should be < 25 days per annum with frost; Criterion 5: Maximum temperatures should be < 28 degree Celsius on at least 25 days of each month; Criterion 6: Maximum temperatures should not exceed 35 degree Celsius on any two consecutive days per month. Mapped criteria were given either categorical or probabilistic weightings and when the six maps were superimposed, suitable and less suitable climatically optimum growth areas could be identified. ', 'num_resources': 1, 'num_tags': 10, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.458333, -34.841667], [32.908333, -34.841667], [32.908333, -22.141667], [16.458333, -22.141667], [16.458333, -34.841667]]]}', 'state': 'active', 'title': 'Climatically Optimum Growth Areas (Passion Fruit) Composite Of All Criteria', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'SAEON', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2007-01-01T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'https://catalogue.saeon.ac.za/records/10.15493/SARVA.BEEH.10000186', 'name': 'Climatically Optimum Growth Areas (Passion Fruit) Composite Of All Criteria'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-17T10:05:36.992639', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': '9d64a80d-8520-4035-b2c0-64b3a5308189', 'last_modified': None, 'metadata_modified': '2025-10-17T10:05:36.987063', 'mimetype': None, 'mimetype_inner': None, 'name': 'Climatically Optimum Growth Areas (Passion Fruit) Composite Of All Criteria', 'package_id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://repository.saeon.ac.za/index.php/s/KDwnyqAwyrwkwrM?opendetails=', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'R.E. Schulze & M. Maharaj', 'position_name': 'University of KwaZulu-Natal', 'role': 'originator', 'website': ''}], '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': 'Commercial Crop Systems', 'id': 'ab20e5e0-5e6e-4d58-9098-7ad4dd7493c5', 'name': 'Commercial Crop Systems', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Imagery-Basemaps-Earth Cover', 'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Optimum growth area', 'id': '246aee2a-e770-40dc-8bcd-223b347a9187', 'name': 'Optimum growth area', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'agriculture', 'id': 'e9c2ba74-5eec-405f-bf77-5b0483eae3bf', 'name': 'agriculture', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'frost', 'id': '8db5aa5a-71f7-4e83-9c78-4c06e6a4aa11', 'name': 'frost', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'growing season', 'id': 'fc932820-1bd3-405f-b791-07055e7210be', 'name': 'growing season', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'mean annual precipitation', 'id': '7e44e7b0-91e0-498f-b2ef-b7a5d8db9859', 'name': 'mean annual precipitation', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'passiflora edulis', 'id': '7a406d31-f5d0-4767-891d-0d651b52f80f', 'name': 'passiflora edulis', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'passion fruit', 'id': '0660e316-6de2-46e6-9b3e-1c2ae0bc43af', 'name': 'passion fruit', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'soil moisture', 'id': '3952e971-20d2-4356-910e-3e5aca562b6c', 'name': 'soil moisture', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'imageryBaseMapsEarthCover'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []} |
| request | <Request 'http://saeoss.sansa.org.za/dataset/?tags=growth+areas&tags=yield+estimation&tags=Oceans&tags=Climatology-Meteorology-Atmosphere&tags=agriculture&organization=test' [GET]> |
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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/SAEON.FYNBOS.10000001', 'featured': 'false', 'id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'A climate-aided Bayesian kriging approach is used to interpolate 20 years of daily meteorological observations (maximum and minimum temperature and precipitation) to a 1 arc-minute grid for the Cape Floristic Region of South Africa. Independent validation data revealed overall predictive performance of the interpolation to have R2 values of 0.90, 0.85, and 0.59 for maximum temperature, minimum temperature, and precipitation, respectively. A suite of ecologically-relevant climate metrics that include the uncertainty introduced by the interpolation were then generated. By providing the high resolution climate metric surfaces and uncertainties, this work facilitates richer and more robust predictive modeling in ecology and bio- geography. These data can be incorporated into ecological models to propagate the uncertainties through to the final predictions', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-16T11:32:14.831108', 'metadata_date': '2016-01-01T00:00', 'metadata_modified': '2025-10-17T09:38:59.712167', 'metadata_thumbnail': '', 'name': 'interpolated_observed_weather_data_for_the_cape_floristic_region', 'notes': 'Conservation of biodiversity demands comprehension of evolutionary and ecological patterns and processes that occur over vast spatial and temporal scales. A central goal of ecology is to understand the climatic factors that control ecological processes and this has become even more important in the face of climate change. Especially at global scales, there can be enormous uncertainty in underlying environmental data used to explain ecological processes, but that uncertainty is rarely quantified or incorporated into ecological models. In this study a climate-aided Bayesian kriging approach is used to interpolate 20 years of daily meteorological observations (maximum and minimum temperature and precipitation) to a 1 arc-minute grid for the Cape Floristic Region of South Africa. Independent validation data revealed overall predictive performance of the interpolation to have R2 values of 0.90, 0.85, and 0.59 for maximum temperature, minimum temperature, and precipitation, respectively. A suite of ecologically-relevant climate metrics that include the uncertainty introduced by the interpolation were then generated. By providing the high resolution climate metric surfaces and uncertainties, this work facilitates richer and more robust predictive modeling in ecology and bio- geography. 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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": [[[16.45214, -34.8341698957], [32.8925317467, -34.8341698957], [32.8925317467, -22.12503], [16.45214, -22.12503], [16.45214, -34.8341698957]]]}', 'state': 'active', 'title': 'Availability of Sugar Cane Field Residues', '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.10000074', 'name': 'Availability of Sugar Cane Field Residues'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-09-25T13:52:53.602259', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': '736c3288-9873-40c9-b235-d3694cd201f3', 'last_modified': None, 'metadata_modified': '2025-09-25T13:52:53.567175', 'mimetype': None, 'mimetype_inner': None, 'name': 'Availability of Sugar Cane Field Residues', 'package_id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://repository.saeon.ac.za/index.php/s/aa5pAfNjzabbcjF', 'url_type': 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': []} |
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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/BEA.DATA.10000072', 'featured': 'false', 'id': 'ea094871-4e27-4a33-a109-e1db3e6c2864', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'Data was derived from the following sources: * Extent of commercial wheat farming in Western Cape was obtained from the Department of Agriculture of the Western Cape (2014). * On such land, production of wheat was estimated from scaled net primary productivity (Schulze et. al.) with yield estimates applied to recent average (10 year) wheat production in the province, derived from Department of Agriculture Annual Statistics.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-25T13:19:55.863094', 'metadata_date': '2015-01-01T00:00', 'metadata_modified': '2025-10-16T10:20:04.385396', 'metadata_thumbnail': '', 'name': 'feasible_extraction_of_wheat_residues_in_the_western_cape-1', 'notes': 'Data was derived from the following sources: * Extent of commercial wheat farming in Western Cape was obtained from the Department of Agriculture of the Western Cape (2014). * On such land, production of wheat was estimated from scaled net primary productivity (Schulze et. al.) with yield estimates applied to recent average (10 year) wheat production in the province, derived from Department of Agriculture Annual Statistics. * Residue production was calculated based on a fixed percentage of the residue - 15% - allowing for soil conditioning (50%) and animal feed (35%).', '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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Habitat degradation and loss of structural complexity are major threats to coastal ecosystems, with impacts associated with climate change placing additional pressure on these valuable ecosystems. Seascape ecology (which focuses on mosaics of spatially discrete and recognisable patches of habitat) is an emerging science that strives to understand spatial pattern-process linkages in marine environments. Understanding multi-scale linkages between seascape structure, function and change can better support sustainable ocean development, biodiversity protection and help to understand the consequences of human activity. 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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/NRF.SAIAB.20232503', 'featured': 'false', 'id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'This dataset consists of XYZ points below the sea surface and relative to the mean sea level. This data was collected under the ACEP SMART ZONES MPA project (2021 – 2023) using the ACEP Geophysics and Mapping Platform.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-11T13:54:29.780880', 'metadata_date': '202301-02-06T00:00', 'metadata_modified': '2025-09-12T08:46:26.411995', 'metadata_thumbnail': '', 'name': 'bathymetry_data_collected_from_rosie_snowball_july_2021', 'notes': "This dataset forms part of the South African Institute for Aquatic Biodiversity (SAIAB)'s collection of Bathymetry data for the African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA. This multi-disciplinary study will begin at the start of the implementation of two new MPAs (uThukela MPA and Protea Banks MPA, both proclaimed in 2019), and will generate the relevant data needed to underpin an evidence-based approach to adaptive management of the MPAs, within a “SMART” framework. This framework defines specific objectives for the different MPA zones; and develops measurable indicators of success for each zone. It also sets achievable goals given the limited resources available for planning and management. This ensures that the research findings are relevant (to both biodiversity and human stakeholders). This is a rare time-sensitive opportunity to conduct baseline surveys of the geology, benthic biodiversity (sessile and mobile species), reef-associated ichthyoplankton and mero-zooplankton and fish communities of mesophotic (40-150m) soft-coral and sponge-dominated reefs and submarine habitats located in three different management zones at the initiation of management of two brand new MPAs, against which long-term monitoring data can be compared to assess the effectiveness of the MPAs in achieving their objectives. The balanced sampling design is such that it will also initiate a “natural experiment” that over time will investigate the effect of no-take zones on fish diversity and abundance, benthic community structure, and trophic complexity. This will also enable the determination of the value of the MPA for fisheries sustainability support and resilience to disturbances caused by extrinsic factors such as pollution or climate change. Additionally, this study will assess whether the zonation plans provide for representation of all reef and canyon types within each zone or if there is unbalanced coverage for certain reefs and in certain zones. This is important to assess the initiation of the MPA, especially to ensure that the interpretation of monitoring results in future to compare ecosystems and fish on reefs and canyons in the mesophotic zone are not flawed by natural differences from the outset due to the selection of zone boundaries. This dataset consists of XYZ points below the sea surface and relative to the mean sea level. This data was collected under the ACEP SMART ZONES MPA project (2021 – 2023) using the ACEP Geophysics and Mapping Platform.", 'num_resources': 1, 'num_tags': 6, 'organization': {'id': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'title': 'NRF-SAIAB', 'type': 'organization', 'description': 'The South African Institute for Aquatic Biodiversity (NRF-SAIAB) is a national facility of the National Research Foundation (NRF). 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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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| package | {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/NRF.SAIAB.20232516', 'featured': 'false', 'id': '209cd0fd-d80b-492e-969e-e8223d010104', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'This dataset consists of locations below the surface of the water where the depth of water is precisely known relative to MSL. Sessile and mobile epibenthic invertebrates are organisms that are part of the benthic community.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-11T14:21:53.400156', 'metadata_date': '2023-01-27T00:00', 'metadata_modified': '2025-09-12T08:29:23.503760', 'metadata_thumbnail': '', 'name': 'bathymetry_data_collected_from_mobile_epibenthic_invertebrate_stations_november_2022', 'notes': "This dataset forms part of the South African Institute for Aquatic Biodiversity (SAIAB)'s collection of Bathymetry data for the African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA. This dataset is used for seabed analysis, the interpretation and creation of derivatives for geomorphological and statistical analysis in comparison with biological metrics. This dataset consists of locations below the surface of the water where the depth of water is precisely known relative to MSL. Sessile and mobile epibenthic invertebrates are organisms that are part of the benthic community. These organisms perform crucial roles and ecosystem services that benefit the benthic community and marine environment as a whole. These organisms’ distribution is affected by many abiotic and biotic factors. This study aims to determine the distribution of both the mobile and sessile epibenthic invertebrates and to investigate the relationship between the mobile and sessile epibenthic invertebrates. The objectives are to measure the abundance and composition of both the mobile and sessile epibenthic invertebrates found on the inner continental shelf of Umhlanga, KwaZulu-Natal and to analyze the statistical relationship between the sessile epibenthic assemblage data and the mobile epibenthic assemblage data. These aims and objectives will be satisfied by sampling on the Umhlanga coast using a drop camera and a baited drop camera. Multivariate tests were run on the abundance data and a Pearson’s correlation test for the relationship between the mobile and sessile epibenthic invertebrates. This study will provide new data on the presence and abundance of understudied mobile invertebrates inhabiting unconsolidated sediments of the KZN inner continental shelf and contribute to our understanding of the relationship between sessile and mobile invertebrate epifauna on the unconsolidated inner continental shelf. It will also test and establish the usefulness of a baited drop-camera for sampling epibenthic invertebrates.", 'num_resources': 1, 'num_tags': 6, 'organization': {'id': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'title': 'NRF-SAIAB', 'type': 'organization', 'description': 'The South African Institute for Aquatic Biodiversity (NRF-SAIAB) is a national facility of the National Research Foundation (NRF). The NRF-SAIAB contributes to two National Operation Phakisa Labs through which South Africa has identified the potential to develop the Biodiversity Economy and the Blue Economy.', 'image_url': '2025-09-11-081630.579961SouthAfricanInstituteforAquaticBiodiversitylogo.svg.png', 'created': '2025-09-11T08:16:30.612011', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[31.115365, -29.803761], [31.185535, -29.803761], [31.185535, -29.748017], [31.115365, -29.748017], [31.115365, -29.803761]]]}', 'state': 'active', 'title': 'Bathymetry data collected from Mobile Epibenthic Invertebrate Stations, November 2022', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'T.Wanda@saiab.nrf.ac.za', 'individual_name': 'Thamsanqa Wanda', 'position_name': 'Geologist', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2023-01-27T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'http://doi.org/10.15493/NRF.SAIAB.20232516', 'name': 'bathymetry_data_collected_from_mobile_epibenthic_invertebrate_stations_november_2022'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-09-11T14:22:17.751814', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': 'f6492885-e526-4883-ba79-61a161dc0806', 'last_modified': None, 'metadata_modified': '2025-09-12T08:29:23.519836', 'mimetype': None, 'mimetype_inner': None, 'name': 'Bathymetry data collected from Mobile Epibenthic Invertebrate Stations, November 2022', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'position': 0, 'resource_type': None, 'size': None, 'state': 'active', 'url': 'https://catalogue.saeon.ac.za/list/records/10.15493/NRF.SAIAB.20232516?search=68c2b42da71d058a420b0236&disableSidebar=false&showSearchBar=true', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'South African Institute for Aquatic Biodiversity ', 'position_name': 'SAIAB', 'role': 'owner', 'website': 'https://nrfsaiab.wixsite.com/gemapocean'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': 'Makhanda', 'delivery_point': 'Somerset Street', 'postal_code': '6139'}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Oceans', 'id': '2547e672-a968-4048-814b-29a682525254', 'name': 'Oceans', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'SGB systems', 'id': 'e90bd4d4-da24-418e-a5b1-f9d0cf063793', 'name': 'SGB systems', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'bathymetry', 'id': '84d64091-149a-4cd4-bf97-f828e908fe76', 'name': 'bathymetry', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'hydrographic', 'id': '903bf930-556a-402c-a784-3c57de8bc65b', 'name': 'hydrographic', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'multibeam bathymetry', 'id': '1fe9236d-3571-4fe0-9305-f1b40579e991', 'name': 'multibeam bathymetry', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'reson', 'id': '4ff1fff4-deb9-4256-a9c0-f03802b2d0e7', 'name': 'reson', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'oceans'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []} |
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| packages | [{'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/SARVA.BEEH.10000179', 'featured': 'false', 'id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'Papaya, or pawpaw (Carica papaya) is a tropical fruit grown widely between latitudes 32 degree N and S. High in Vitamin C, papaya is indigenous to tropical America (ARC, 2005). This fruit, initially brought to the attention of Europe around 1520, was introduced to South Africa in seed form by Jan van Riebeeck in 1652, but only grown commercially in the Lowveld of Mpumalanga for the first time in the early 20th century by a Captain Elphick (ARC, 2005). Papaya needs relatively little water in the rainy summer season in South Africa, but if irrigated every 2 weeks in the dry season it is well adapted to hot, dry areas as the fruit then matures early and is then highly palatable owing to its high sugar content (Smith, 1998). Papaya has high heat requirements, with average daily temperatures for optimum growth between 20 and 30 degree Celsius. Determination of climatically optimum growth areas for Papaya in South Africa is based on the expert knowledge of Bower (2005) and Moll (2005), climatically optimum growth areas were determined according to the four basic criteria: Criterion 1: Heat units (base 12 degree Celsius) should exceed 2 000 days per annum, Criterion 2: Optimum areas should have a low frequency of 4 consecutive days with maximum temperatures > 36 degree Celsius, Criterion 3: Monthly means of daily average temperatures in December and January should be 23 degree Celsius - 30 degree Celsius and Criterion 4: Optimum growth areas should have a low frequency of 4 consecutive days with minimum temperatures < 17 degree Celsius. Using the 50 year time series of quality controlled daily maximum and minimum temperatures generated by Schulze and Maharaj (2004) at a spatial resolution of 1 arc minute (i.e. 1` x 1` of a degree latitude/longitude), the above four temperature based criteria were first mapped individually and then superimposed to determine the climatically optimum growth areas of papaya in South Africa.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T11:08:39.531145', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T11:11:28.922543', 'metadata_thumbnail': '', 'name': 'climatically_optimum_growth_areas_papaya_composite_of_all_criteria', 'notes': 'Papaya, or pawpaw (Carica papaya) is a tropical fruit grown widely between latitudes 32 degree N and S. High in Vitamin C, papaya is indigenous to tropical America (ARC, 2005). This fruit, initially brought to the attention of Europe around 1520, was introduced to South Africa in seed form by Jan van Riebeeck in 1652, but only grown commercially in the Lowveld of Mpumalanga for the first time in the early 20th century by a Captain Elphick (ARC, 2005). Papaya needs relatively little water in the rainy summer season in South Africa, but if irrigated every 2 weeks in the dry season it is well adapted to hot, dry areas as the fruit then matures early and is then highly palatable owing to its high sugar content (Smith, 1998). Papaya has high heat requirements, with average daily temperatures for optimum growth between 20 and 30 degree Celsius. Determination of climatically optimum growth areas for Papaya in South Africa is based on the expert knowledge of Bower (2005) and Moll (2005), climatically optimum growth areas were determined according to the four basic criteria: Criterion 1: Heat units (base 12 degree Celsius) should exceed 2 000 days per annum, Criterion 2: Optimum areas should have a low frequency of 4 consecutive days with maximum temperatures > 36 degree Celsius, Criterion 3: Monthly means of daily average temperatures in December and January should be 23 degree Celsius - 30 degree Celsius and Criterion 4: Optimum growth areas should have a low frequency of 4 consecutive days with minimum temperatures < 17 degree Celsius. Using the 50 year time series of quality controlled daily maximum and minimum temperatures generated by Schulze and Maharaj (2004) at a spatial resolution of 1 arc minute (i.e. 1` x 1` of a degree latitude/longitude), the above four temperature based criteria were first mapped individually and then superimposed to determine the climatically optimum growth areas of papaya in South Africa.', 'num_resources': 1, 'num_tags': 11, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. 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'lineage_statement': '"Data was derived from the following sources: *The extent of sugar cane cultivation was determined from digitisation of maps published in Gers (2003). * This extent was correlated with two additional sources: crop extent published by DAFF (2014), which excludes sugar cane production and could be used as a verification of extent, and Land Use data (FAO, 2011), which could be used to verify the finer extent of cultivation. * Sugar cane theoretical yields were applied from Schulze, Hull, and Maharaj (2007).', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-25T13:51:51.505431', 'metadata_date': '2015-01-01T00:00', 'metadata_modified': '2025-10-17T09:37:57.386121', 'metadata_thumbnail': '', 'name': 'availability_of_sugar_cane_field_residues', 'notes': 'Data was derived from the following sources: *The extent of sugar cane cultivation was determined from digitisation of maps published in Gers (2003). * This extent was correlated with two 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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": [[[31.115365, -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': []}, {'author': None, 'author_email': None, 'creator_user_id': 'edabd58a-206b-4837-ae44-ff17c126fe88', 'doi': '10.15493/NRF.SAIAB.20232505', 'featured': 'false', 'id': '0b93f04a-5fa2-4c7c-b9a3-e3451557d702', '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': '2025-09-11T11:33:32.895385', 'metadata_date': '2023-01-26T00:00', 'metadata_modified': '2025-09-11T11:34:14.730926', 'metadata_thumbnail': '', 'name': 'steep', '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. 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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. 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| page | Page: Collection type: <class 'list'> (Current) page: 1 First item: 1 Last item: 20 First page: 1 Last page: 2 Previous page: None Next page: 2 Items per page: 20 Number of items: 36 Number of pages: 2 |
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| query_error | False |
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| search_url_params | 'tags=growth+areas&tags=yield+estimation&tags=Oceans&tags=Climatology-Meteorology-Atmosphere&tags=agriculture&organization=test' |
| session | {'_domain': None, '_path': '/', '_accessed_time': 1793577175.831968, '_creation_time': 1793577175.831968} |
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| sort_by_fields | [] |
| sort_by_selected | 'score desc, metadata_modified desc' |
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| resource_url | '"/dataset/cci_landcover/resource/c639fbc7-d73f-49a0-897a-71837b49f4b8/proxy"' |
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| session | {'_domain': None, '_path': '/', '_accessed_time': 1793577179.4457698, '_creation_time': 1793577179.4457698} |
| ungettext | <function ungettext at 0x7f5b28311670> |
The toolbar was unable to fetch the SQLAlchemy queries for this request. To enable the SQLAlchemy query display, please:
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| URL route | Endpoint name | HTTP methods | Is alias | Redirect to |
|---|---|---|---|---|
| / | home.index | GET, HEAD, OPTIONS | False | None |
| /<path:filename> | static | GET, HEAD, OPTIONS | False | None |
| /about | home.about | GET, HEAD, OPTIONS | False | None |
| /about/ | about.index | GET, HEAD, OPTIONS | False | None |
| /api/ | api.get_api | GET, HEAD, OPTIONS | False | None |
| /api/2/rest/harvestobject/<id>/html | spatial_harvest_metadata.harvest_object_redirect_html | GET, HEAD, OPTIONS | False | None |
| /api/2/rest/harvestobject/<id>/xml | spatial_harvest_metadata.harvest_object_redirect_xml | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=2):ver>/i18n/<lang> | api.i18n_js_translations | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=2):ver>/util/dataset/autocomplete | api.dataset_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=2):ver>/util/group/autocomplete | api.group_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=2):ver>/util/organization/autocomplete | api.organization_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=2):ver>/util/resource/format_autocomplete | api.format_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=2):ver>/util/snippet/<snippet_path> | api.snippet | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=2):ver>/util/tag/autocomplete | api.tag_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=2):ver>/util/user/autocomplete | api.user_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=1, max=3):ver> | api.get_api | GET, HEAD, OPTIONS | False | None |
| /api/<int(min=3, max=3):ver>/action/<logic_function> | api.action | GET, HEAD, OPTIONS, POST | False | None |
| /api/action/<logic_function> | api.action | GET, HEAD, OPTIONS, POST | False | None |
| /api/i18n/<lang> | api.i18n_js_translations | GET, HEAD, OPTIONS | False | None |
| /api/util/dataset/autocomplete | api.dataset_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/util/group/autocomplete | api.group_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/util/organization/autocomplete | api.organization_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/util/resource/format_autocomplete | api.format_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/util/snippet/<snippet_path> | api.snippet | GET, HEAD, OPTIONS | False | None |
| /api/util/tag/autocomplete | api.tag_autocomplete | GET, HEAD, OPTIONS | False | None |
| /api/util/user/autocomplete | api.user_autocomplete | GET, HEAD, OPTIONS | False | None |
| /basemap_service/<map_id> | service_proxy.proxy_service_url | GET, HEAD, OPTIONS | False | None |
| /blog | pages.blog_index | GET, HEAD, OPTIONS | False | None |
| /blog/<page> | pages.blog_show | GET, HEAD, OPTIONS | False | None |
| /blog_delete/<page> | pages.blog_delete | GET, HEAD, OPTIONS, POST | False | None |
| /blog_edit | pages.blog_new | GET, HEAD, OPTIONS, POST | False | None |
| /blog_edit/ | pages.blog_new | GET, HEAD, OPTIONS, POST | False | None |
| /blog_edit/<page> | pages.blog_edit | GET, HEAD, OPTIONS, POST | False | None |
| /ckan-admin/ | admin.index | GET, HEAD, OPTIONS | False | None |
| /ckan-admin/config | admin.config | GET, HEAD, OPTIONS, POST | False | None |
| /ckan-admin/reset_config | admin.reset_config | GET, HEAD, OPTIONS, POST | False | None |
| /ckan-admin/trash | admin.trash | GET, HEAD, OPTIONS, POST | False | None |
| /contact/ | contact.index | GET, HEAD, OPTIONS | False | None |
| /dashboard/ | dashboard.index | GET, HEAD, OPTIONS | False | None |
| /dashboard/<int:offset> | dashboard.index | GET, HEAD, OPTIONS | False | None |
| /dashboard/datasets | dashboard.datasets | GET, HEAD, OPTIONS | False | None |
| /dashboard/groups | dashboard.groups | GET, HEAD, OPTIONS | False | None |
| /dashboard/organizations | dashboard.organizations | GET, HEAD, OPTIONS | False | None |
| /dataset/ | dataset.search | GET, HEAD, OPTIONS | False | None |
| /dataset/<id> | dataset.read | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/history | dataset.history | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id> | dataset_resource.read | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id> | resource.read | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/delete | dataset_resource.delete | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/<resource_id>/delete | resource.delete | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/<resource_id>/download | dataset_resource.download | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/download | resource.download | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/download/<filename> | dataset_resource.download | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/download/<filename> | resource.download | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/edit | dataset_resource.edit | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/<resource_id>/edit | resource.edit | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/<resource_id>/edit_view/<view_id> | dataset_resource.edit_view | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/<resource_id>/edit_view/<view_id> | resource.edit_view | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/<resource_id>/embed | dataset_resource.embedded_dataviewer | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/embed | resource.embedded_dataviewer | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/new_view | dataset_resource.edit_view | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/<resource_id>/new_view | resource.edit_view | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/<resource_id>/preview | dataset_resource.datapreview | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/preview | resource.datapreview | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/proxy | resource_proxy.proxy_view | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/service_proxy | service_proxy.proxy_service | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/view | dataset_resource.view | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/view | resource.view | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/view/<view_id> | dataset_resource.view | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/view/<view_id> | resource.view | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/viewer | dataset_resource.embedded_dataviewer | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/viewer | resource.embedded_dataviewer | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/views | dataset_resource.views | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/<resource_id>/views | resource.views | GET, HEAD, OPTIONS | False | None |
| /dataset/<id>/resource/new | dataset_resource.new | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource/new | resource.new | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/<id>/resource_edit/<resource_id> | dataset.EditView | GET, HEAD, OPTIONS | False | None |
| /dataset/activity/<id> | dataset.activity | GET, HEAD, OPTIONS | False | None |
| /dataset/changes/<id> | dataset.changes | GET, HEAD, OPTIONS | False | None |
| /dataset/changes_multiple | dataset.changes_multiple | GET, HEAD, OPTIONS | False | None |
| /dataset/delete/<id> | dataset.delete | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/edit/<id> | dataset.edit | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/file_parser/ | file_parser.extract_files | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/follow/<id> | dataset.follow | OPTIONS, POST | False | None |
| /dataset/followers/<id> | dataset.followers | GET, HEAD, OPTIONS | False | None |
| /dataset/groups/<id> | dataset.groups | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/harvest_object/<id> | harvester.object_show | GET, HEAD, OPTIONS | False | None |
| /dataset/new | dataset.new | GET, HEAD, OPTIONS, POST | False | None |
| /dataset/new_resource/<id> | dataset.CreateView | GET, HEAD, OPTIONS | False | None |
| /dataset/resources/<id> | dataset.resources | GET, HEAD, OPTIONS | False | None |
| /dataset/unfollow/<id> | dataset.unfollow | OPTIONS, POST | False | None |
| /feeds/custom.atom | feeds.custom | GET, HEAD, OPTIONS | False | None |
| /feeds/dataset.atom | feeds.general | GET, HEAD, OPTIONS | False | None |
| /feeds/group/<string:id>.atom | feeds.group | GET, HEAD, OPTIONS | False | None |
| /feeds/organization/<string:id>.atom | feeds.organization | GET, HEAD, OPTIONS | False | None |
| /feeds/tag/<string:id>.atom | feeds.tag | GET, HEAD, OPTIONS | False | None |
| /group/ | group.index | GET, HEAD, OPTIONS | False | None |
| /group/<id> | group.read | GET, HEAD, OPTIONS | False | None |
| /group/about/<id> | group.about | GET, HEAD, OPTIONS | False | None |
| /group/activity/<id> | group.activity | GET, HEAD, OPTIONS, POST | False | None |
| /group/activity/<id>/<int:offset> | group.activity | GET, HEAD, OPTIONS | False | None |
| /group/admins/<id> | group.admins | GET, HEAD, OPTIONS, POST | False | None |
| /group/bulk_process/<id> | group.bulk_process | GET, HEAD, OPTIONS, POST | False | None |
| /group/delete/<id> | group.delete | GET, HEAD, OPTIONS, POST | False | None |
| /group/edit/<id> | group.edit | GET, HEAD, OPTIONS, POST | False | None |
| /group/follow/<id> | group.follow | GET, HEAD, OPTIONS, POST | False | None |
| /group/followers/<id> | group.followers | GET, HEAD, OPTIONS, POST | False | None |
| /group/history/<id> | group.history | GET, HEAD, OPTIONS, POST | False | None |
| /group/member_delete/<id> | group.member_delete | GET, HEAD, OPTIONS, POST | False | None |
| /group/member_new/<id> | group.member_new | GET, HEAD, OPTIONS, POST | False | None |
| /group/members/<id> | group.members | GET, HEAD, OPTIONS, POST | False | None |
| /group/new | group.new | GET, HEAD, OPTIONS, POST | False | None |
| /group/pages/<id> | pages.group_pages_index | GET, HEAD, OPTIONS | False | None |
| /group/pages/<id>/<page> | pages.group_pages_show | GET, HEAD, OPTIONS | False | None |
| /group/pages_delete/<id>/<page> | pages.group_pages_delete | GET, HEAD, OPTIONS, POST | False | None |
| /group/pages_edit/<id> | pages.group_pages_new | GET, HEAD, OPTIONS, POST | False | None |
| /group/pages_edit/<id>/ | pages.group_pages_new | GET, HEAD, OPTIONS, POST | False | None |
| /group/pages_edit/<id>/<page> | pages.group_pages_edit | GET, HEAD, OPTIONS, POST | False | None |
| /group/unfollow/<id> | group.unfollow | GET, HEAD, OPTIONS, POST | False | None |
| /harvest/ | harvest.search | GET, HEAD, OPTIONS | False | None |
| /harvest/<id> | harvest.read | GET, HEAD, OPTIONS | False | None |
| /harvest/<id>/history | harvest.history | GET, HEAD, OPTIONS | False | None |
| /harvest/<id>/resource/<resource_id> | harvest_resource.read | GET, HEAD, OPTIONS | False | None |
| /harvest/<id>/resource/<resource_id>/delete | harvest_resource.delete | GET, HEAD, OPTIONS, POST | False | None |
| /harvest/<id>/resource/<resource_id>/download | harvest_resource.download | GET, HEAD, OPTIONS | False | None |
| /harvest/<id>/resource/<resource_id>/download/<filename> | harvest_resource.download | GET, HEAD, OPTIONS | False | None |
| /harvest/<id>/resource/<resource_id>/edit | harvest_resource.edit | GET, HEAD, OPTIONS, POST | False | None |
| /harvest/<id>/resource/<resource_id>/edit_view/<view_id> | harvest_resource.edit_view | GET, HEAD, OPTIONS, POST | False | None |
| /harvest/<id>/resource/<resource_id>/embed | harvest_resource.embedded_dataviewer | GET, HEAD, OPTIONS | False | None |
| /harvest/<id>/resource/<resource_id>/new_view | harvest_resource.edit_view | GET, HEAD, OPTIONS, POST | False | None |
| /harvest/<id>/resource/<resource_id>/preview | harvest_resource.datapreview | GET, HEAD, OPTIONS | False | None |
| /harvest/<id>/resource/<resource_id>/view | harvest_resource.view | GET, HEAD, OPTIONS | False | None |
| /harvest/<id>/resource/<resource_id>/view/<view_id> | harvest_resource.view | GET, HEAD, OPTIONS | False | None |
| /harvest/<id>/resource/<resource_id>/viewer | harvest_resource.embedded_dataviewer | GET, HEAD, OPTIONS | False | None |
| /harvest/<id>/resource/<resource_id>/views | harvest_resource.views | GET, HEAD, OPTIONS | False | None |
| /harvest/<id>/resource/new | harvest_resource.new | GET, HEAD, OPTIONS, POST | False | None |
| /harvest/<id>/resource_edit/<resource_id> | harvest.EditView | GET, HEAD, OPTIONS | False | None |
| /harvest/<source>/job | harvester.job_list | GET, HEAD, OPTIONS | False | None |
| /harvest/<source>/job/<id> | harvester.job_show | GET, HEAD, OPTIONS | False | None |
| /harvest/<source>/job/<id>/abort | harvester.job_abort | GET, HEAD, OPTIONS | False | None |
| /harvest/<source>/job/last | harvester.job_show_last | GET, HEAD, OPTIONS | False | None |
| /harvest/about/<id> | harvester.about | GET, HEAD, OPTIONS | False | None |
| /harvest/activity/<id> | harvest.activity | GET, HEAD, OPTIONS | False | None |
| /harvest/admin/<id> | harvester.admin | GET, HEAD, OPTIONS | False | None |
| /harvest/changes/<id> | harvest.changes | GET, HEAD, OPTIONS | False | None |
| /harvest/changes_multiple | harvest.changes_multiple | GET, HEAD, OPTIONS | False | None |
| /harvest/clear/<id> | harvester.clear | GET, HEAD, OPTIONS, POST | False | None |
| /harvest/delete/<id> | harvester.delete | GET, HEAD, OPTIONS | False | None |
| /harvest/delete/<id> | harvest.delete | GET, HEAD, OPTIONS, POST | False | None |
| /harvest/edit/<id> | harvest.edit | GET, HEAD, OPTIONS, POST | False | None |
| /harvest/follow/<id> | harvest.follow | OPTIONS, POST | False | None |
| /harvest/followers/<id> | harvest.followers | GET, HEAD, OPTIONS | False | None |
| /harvest/groups/<id> | harvest.groups | GET, HEAD, OPTIONS, POST | False | None |
| /harvest/new | harvest.new | GET, HEAD, OPTIONS, POST | False | None |
| /harvest/new_resource/<id> | harvest.CreateView | GET, HEAD, OPTIONS | False | None |
| /harvest/object/<id> | harvester.object_show | GET, HEAD, OPTIONS | False | None |
| /harvest/object/<id>/html | spatial_harvest_metadata.display_html | GET, HEAD, OPTIONS | False | None |
| /harvest/object/<id>/html/original | spatial_harvest_metadata.display_html_original | GET, HEAD, OPTIONS | False | None |
| /harvest/object/<id>/original | spatial_harvest_metadata.display_xml_original | GET, HEAD, OPTIONS | False | None |
| /harvest/refresh/<id> | harvester.refresh | GET, HEAD, OPTIONS, POST | False | None |
| /harvest/resources/<id> | harvest.resources | GET, HEAD, OPTIONS | False | None |
| /harvest/unfollow/<id> | harvest.unfollow | OPTIONS, POST | False | None |
| /map/ | map.index | GET, HEAD, OPTIONS | False | None |
| /news/ | news.index | GET, HEAD, OPTIONS | False | None |
| /news/news | news.index | GET, HEAD, OPTIONS | False | None |
| /news/news/<page> | news.news_show | GET, HEAD, OPTIONS | False | None |
| /news/news/<page> | news.news_show | GET, HEAD, OPTIONS | False | None |
| /news/news_delete/<page> | news.news_delete | GET, HEAD, OPTIONS, POST | False | None |
| /news/news_edit | news.news_new | GET, HEAD, OPTIONS, POST | False | None |
| /news/news_edit/ | news.news_edit | GET, HEAD, OPTIONS, POST | False | None |
| /news/news_edit/<page> | news.news_edit | GET, HEAD, OPTIONS, POST | False | None |
| /organization/ | organization.index | GET, HEAD, OPTIONS | False | None |
| /organization/<id> | organization.read | GET, HEAD, OPTIONS | False | None |
| /organization/about/<id> | organization.about | GET, HEAD, OPTIONS | False | None |
| /organization/activity/<id> | organization.activity | GET, HEAD, OPTIONS, POST | False | None |
| /organization/activity/<id>/<int:offset> | organization.activity | GET, HEAD, OPTIONS | False | None |
| /organization/admins/<id> | organization.admins | GET, HEAD, OPTIONS, POST | False | None |
| /organization/bulk_process/<id> | organization.bulk_process | GET, HEAD, OPTIONS, POST | False | None |
| /organization/delete/<id> | organization.delete | GET, HEAD, OPTIONS, POST | False | None |
| /organization/edit/<id> | organization.edit | GET, HEAD, OPTIONS, POST | False | None |
| /organization/follow/<id> | organization.follow | GET, HEAD, OPTIONS, POST | False | None |
| /organization/followers/<id> | organization.followers | GET, HEAD, OPTIONS, POST | False | None |
| /organization/history/<id> | organization.history | GET, HEAD, OPTIONS, POST | False | None |
| /organization/member_delete/<id> | organization.member_delete | GET, HEAD, OPTIONS, POST | False | None |
| /organization/member_new/<id> | organization.member_new | GET, HEAD, OPTIONS, POST | False | None |
| /organization/members/<id> | organization.members | GET, HEAD, OPTIONS, POST | False | None |
| /organization/new | organization.new | GET, HEAD, OPTIONS, POST | False | None |
| /organization/pages/<id> | pages.organization_pages_index | GET, HEAD, OPTIONS | False | None |
| /organization/pages/<id>/<page> | pages.organization_pages_show | GET, HEAD, OPTIONS | False | None |
| /organization/pages_delete/<id>/<page> | pages.organization_pages_delete | GET, HEAD, OPTIONS, POST | False | None |
| /organization/pages_edit/<id> | pages.organization_pages_new | GET, HEAD, OPTIONS, POST | False | None |
| /organization/pages_edit/<id>/ | pages.organization_pages_new | GET, HEAD, OPTIONS, POST | False | None |
| /organization/pages_edit/<id>/<page> | pages.organization_pages_edit | GET, HEAD, OPTIONS, POST | False | None |
| /organization/unfollow/<id> | organization.unfollow | GET, HEAD, OPTIONS, POST | False | None |
| /pages | pages.index | GET, HEAD, OPTIONS | False | None |
| /pages/<page> | pages.show | GET, HEAD, OPTIONS | False | None |
| /pages_delete/<page> | pages.delete | GET, HEAD, OPTIONS, POST | False | None |
| /pages_edit | pages.new | GET, HEAD, OPTIONS, POST | False | None |
| /pages_edit/ | pages.new | GET, HEAD, OPTIONS, POST | False | None |
| /pages_edit/<page> | pages.edit | GET, HEAD, OPTIONS, POST | False | None |
| /pages_upload | pages.upload | OPTIONS, POST | False | None |
| /password/reset | password.request_reset | GET, HEAD, OPTIONS, POST | False | None |
| /saeoss/request_dataset_maintenance/<dataset_id> | saeoss.request_dataset_maintenance | GET, HEAD, OPTIONS | False | None |
| /saeoss/request_dataset_management/<string:dataset_id>/<string:management_command> | saeoss.request_dataset_management | GET, HEAD, OPTIONS | False | None |
| /saved_searches/ | saved_searches.index | GET, HEAD, OPTIONS | False | None |
| /saved_searches/delete_saved_search | saved_searches.delete_saved_search | GET, HEAD, OPTIONS, POST | False | None |
| /saved_searches/save_search | saved_searches.save_current_search | GET, HEAD, OPTIONS, POST | False | None |
| /sign-up/ | sign-up.sign-up-landing | GET, HEAD, OPTIONS, POST | False | None |
| /stac/<package_name>/item/<item> | stac_api.item | GET, HEAD, OPTIONS, POST | False | None |
| /stac/catalog | stac_api.catalog | GET, HEAD, OPTIONS, POST | False | None |
| /stac/collection/<package_name> | stac_api.featurecollection | GET, HEAD, OPTIONS, POST | False | None |
| /stac/collections | stac_api.collection | GET, HEAD, OPTIONS, POST | False | None |
| /stac/datasetcollection | stac_api.datasetcollection | GET, HEAD, OPTIONS, POST | False | None |
| /stac/datasetcollection-search | stac_api.datasetcollection_post | GET, HEAD, OPTIONS, POST | False | None |
| /stac/resourcecollection | stac_api.resourcecollection | GET, HEAD, OPTIONS, POST | False | None |
| /stac_harvest/ | stac_harvest.view | GET, HEAD, OPTIONS, POST | False | None |
| /stac_harvest/create/ | stac_harvest.create_stac | GET, HEAD, OPTIONS, POST | False | None |
| /stac_harvest/create_job | stac_harvest.create_job | GET, HEAD, OPTIONS, POST | False | None |
| /stac_harvest/view_jobs/ | stac_harvest.view_jobs | GET, HEAD, OPTIONS, POST | False | None |
| /stats/ | stats.index | GET, HEAD, OPTIONS | False | None |
| /testing/primer | util.primer | GET, HEAD, OPTIONS | False | None |
| /user/ | user.index | GET, HEAD, OPTIONS | False | None |
| /user/<id> | user.read | GET, HEAD, OPTIONS | False | None |
| /user/<id>/api-tokens | user.api_tokens | GET, HEAD, OPTIONS, POST | False | None |
| /user/<id>/api-tokens/<jti>/revoke | user.api_token_revoke | OPTIONS, POST | False | None |
| /user/_logout | user.logout | GET, HEAD, OPTIONS | False | None |
| /user/activity/<id> | user.activity | GET, HEAD, OPTIONS | False | None |
| /user/activity/<id>/<int:offset> | user.activity | GET, HEAD, OPTIONS | False | None |
| /user/delete/<id> | user.delete | OPTIONS, POST | False | None |
| /user/edit | user.edit | GET, HEAD, OPTIONS, POST | False | None |
| /user/edit/<id> | user.edit | GET, HEAD, OPTIONS, POST | False | None |
| /user/follow/<id> | user.follow | OPTIONS, POST | False | None |
| /user/followers/<id> | user.followers | GET, HEAD, OPTIONS | False | None |
| /user/generate_key | user.generate_apikey | OPTIONS, POST | False | None |
| /user/generate_key/<id> | user.generate_apikey | OPTIONS, POST | False | None |
| /user/logged_in | user.logged_in | GET, HEAD, OPTIONS | False | None |
| /user/logged_out | user.logged_out | GET, HEAD, OPTIONS | False | None |
| /user/logged_out_redirect | user.logged_out_page | GET, HEAD, OPTIONS | False | None |
| /user/login | user.login | GET, HEAD, OPTIONS | False | None |
| /user/me | user.me | GET, HEAD, OPTIONS | False | None |
| /user/register | user.register | GET, HEAD, OPTIONS, POST | False | None |
| /user/reset | user.request_reset | GET, HEAD, OPTIONS, POST | False | None |
| /user/reset/<id> | user.perform_reset | GET, HEAD, OPTIONS, POST | False | None |
| /user/unfollow/<id> | user.unfollow | OPTIONS, POST | False | None |
| /util/redirect | util.internal_redirect | GET, HEAD, OPTIONS, POST | False | None |
| /validator/ | validator.index | GET, HEAD, OPTIONS, POST | False | None |
| /validator/retrieve_metadata/ | validator.retrieve_metadata | GET, HEAD, OPTIONS, POST | False | None |
| /validator/validate_all/ | validator.validate_all | GET, HEAD, OPTIONS, POST | False | None |
| /validator/validate_selection/ | validator.validate_selection | GET, HEAD, OPTIONS, POST | False | None |
| /webassets/<path:path> | webassets.index | GET, HEAD, OPTIONS | False | None |
| /zh_CN/ | home.redirect_locale | GET, HEAD, OPTIONS | False | None |
| /zh_CN/<path:path> | home.redirect_locale | GET, HEAD, OPTIONS | False | None |
| /zh_TW/ | home.redirect_locale | GET, HEAD, OPTIONS | False | None |
| /zh_TW/<path:path> | home.redirect_locale | GET, HEAD, OPTIONS | False | None |