| packages |
[{'id': '0894e55b-3e79-4b6e-b71d-5992df7efa44', 'name': 'acacia_mearnsii_bark_yield_estimates_per_mesozone', 'title': 'Acacia mearnsii - bark Yield Estimates per mesozone', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, 'notes': 'The dataset shows Acacia mearnsii - bark yield estimates allocated to mesozones. Yield estimates were derived from Schulze R.E. and Maharaj M. (2007) and then allocated to mesozones by combining with a base mesozone layer obtained from the CSIR Geospatial Analysis Platform (GAP). The map of climatically optimum growth areas shows the main potential areas for A. mearnsii to be in a strip along the coast of the Eastern Cape, parts of the midlands and northwest of KwaZulu-Natal and a strip in Mpumalanga, with smaller patches of climatically optimum areas elsewhere.', 'license_id': None, 'type': 'dataset', 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-10-17T09:32:50.896907', 'metadata_modified': '2025-10-17T09:35:51.349560', 'private': False, 'state': 'active', 'resources': [{'id': '51ef4375-6276-449f-b5d8-c2990b38466c', 'package_id': '0894e55b-3e79-4b6e-b71d-5992df7efa44', 'url': 'https://repository.saeon.ac.za/index.php/s/ZacqasHnDgPL88X?opendetails=', 'format': '', 'description': '', 'hash': '', 'position': 0, 'name': 'Acacia mearnsii - bark Yield Estimates per mesozone', 'resource_type': 'other', 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-10-17T09:33:17.549512', 'last_modified': None, 'metadata_modified': '2025-10-17T09:33:17.538561', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': '', 'upload_mode': 'single'}], 'num_resources': 1, 'tags': [{'id': '5c694886-9e84-460d-9f40-8e6b6d76c961', 'name': 'Acacia mearnsii', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Acacia mearnsii'}, {'id': '76bc5b3e-aa3e-4117-a94e-53d07473952b', 'name': 'Agriculture', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Agriculture'}, {'id': 'c9cdbbe0-563e-48b0-b276-8873fa70a327', 'name': 'Commercial forestry', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Commercial forestry'}, {'id': 'a373ef67-e2f7-4c4c-a9f1-42afafc3032f', 'name': 'Forestry distribution', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Forestry distribution'}, {'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Imagery-Basemaps-Earth Cover'}, {'id': '8a3f959b-ce05-41a8-b046-fbcf0950cbd9', 'name': 'acacia mearnsii', 'vocabulary_id': None, 'state': 'active', 'display_name': 'acacia mearnsii'}, {'id': 'e9c2ba74-5eec-405f-bf77-5b0483eae3bf', 'name': 'agriculture', 'vocabulary_id': None, 'state': 'active', 'display_name': 'agriculture'}, {'id': '3599fc01-138e-449a-8618-4697ace9ddfe', 'name': 'biomass', 'vocabulary_id': None, 'state': 'active', 'display_name': 'biomass'}, {'id': 'ec11507b-eb72-4e46-a0b4-04378e39be8c', 'name': 'mesozones', 'vocabulary_id': None, 'state': 'active', 'display_name': 'mesozones'}, {'id': 'dc14a921-0c4d-4efa-b154-52a15b712556', 'name': 'yield', 'vocabulary_id': None, 'state': 'active', 'display_name': 'yield'}, {'id': 'ffb78bb7-ddac-4f32-b75f-0182de795c57', 'name': 'yield estimation', 'vocabulary_id': None, 'state': 'active', 'display_name': 'yield estimation'}], 'num_tags': 11, 'extras': [{'id': '833c5495-30bb-487e-8cea-040a3d831208', 'package_id': '0894e55b-3e79-4b6e-b71d-5992df7efa44', 'key': 'contact', 'value': '[{"electronic_mail_address": "curation@saeon.nrf.ac.za", "individual_name": "SAEON", "position_name": "", "role": "point_of_contact"}]', 'state': 'active'}, {'id': 'adac047c-2cab-4b3a-a8d8-f78aa40ecbd8', 'package_id': '0894e55b-3e79-4b6e-b71d-5992df7efa44', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '78c41c28-ca1b-4418-9891-41e6a3f5cb3e', 'package_id': '0894e55b-3e79-4b6e-b71d-5992df7efa44', 'key': 'dataset_reference_date', 'value': '[{"reference": "2007-01-01T00:00", "reference_date_type": 1}]', 'state': 'active'}, {'id': '7af8e541-25e9-40c7-b9a1-5df819e1bca1', 'package_id': '0894e55b-3e79-4b6e-b71d-5992df7efa44', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': '03cecbf5-8a8e-4240-b50d-7c964f62f64f', 'package_id': '0894e55b-3e79-4b6e-b71d-5992df7efa44', 'key': 'doi', 'value': '10.15493/BEA.DATA.10000008', 'state': 'active'}, {'id': '4ecf64b0-1342-4cd8-8079-472e08ae5944', 'package_id': '0894e55b-3e79-4b6e-b71d-5992df7efa44', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': '82389d97-1940-4108-9272-3d7d4e82b4c6', 'package_id': '0894e55b-3e79-4b6e-b71d-5992df7efa44', 'key': 'lineage_statement', 'value': 'The dataset shows Acacia mearnsii - bark yield estimates allocated to mesozones. Yield estimates were derived from Schulze R.E. and Maharaj M. (2007) and then allocated to mesozones by combining with a base mesozone layer obtained from the CSIR Geospatial Analysis Platform (GAP). The map of climatically optimum growth areas shows the main potential areas for A. mearnsii to be in a strip along the coast of the Eastern Cape, parts of the midlands and northwest of KwaZulu-Natal and a strip in Mpumalanga, with smaller patches of climatically optimum areas elsewhere.', 'state': 'active'}, {'id': '69f109ec-e175-4341-9af8-0afa8c04009d', 'package_id': '0894e55b-3e79-4b6e-b71d-5992df7efa44', 'key': 'metadata_date', 'value': '2025-10-17T00:00', 'state': 'active'}, {'id': '3437a0f3-9cc3-4544-93d3-8634aef0bba5', 'package_id': '0894e55b-3e79-4b6e-b71d-5992df7efa44', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': '3462270c-678d-41ed-8bf3-159e230e0a69', 'package_id': '0894e55b-3e79-4b6e-b71d-5992df7efa44', 'key': 'metadata_standard', 'value': '[{"name": null, "version": null}]', 'state': 'active'}, {'id': 'b6cce6bc-75b7-4f01-a995-5ec248764d29', 'package_id': '0894e55b-3e79-4b6e-b71d-5992df7efa44', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': '5ecf6c0c-b325-4e92-bd4f-68d55f0fe756', 'package_id': '0894e55b-3e79-4b6e-b71d-5992df7efa44', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": 2, "linkage": "https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000008", "name": "Acacia mearnsii - bark Yield Estimates per mesozone"}]', 'state': 'active'}, {'id': 'bf5fd4ff-9b68-49a0-aaa9-0763996cae0a', 'package_id': '0894e55b-3e79-4b6e-b71d-5992df7efa44', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': 'ca47affc-e794-417f-88a7-f9ecb5be1e8b', 'package_id': '0894e55b-3e79-4b6e-b71d-5992df7efa44', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "R.E. Schulze & M. Maharaj", "position_name": "University of KwaZulu-Natal", "role": "originator", "website": ""}]', 'state': 'active'}, {'id': '0103b2e6-3a91-499e-9aeb-01c6f387cedf', 'package_id': '0894e55b-3e79-4b6e-b71d-5992df7efa44', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "", "delivery_point": "", "postal_code": ""}]', 'state': 'active'}, {'id': 'edb72109-2226-42fb-9db1-faf1d9680628', 'package_id': '0894e55b-3e79-4b6e-b71d-5992df7efa44', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': 'ad97389f-46f5-4bb2-822f-ec6c3f275ec4', 'package_id': '0894e55b-3e79-4b6e-b71d-5992df7efa44', 'key': 'spatial', 'value': '{"type": "Polygon", "coordinates": [[[16.45192, -34.8341698957], [32.8925317467, -34.8341698957], [32.8925317467, -22.12503], [16.45192, -22.12503], [16.45192, -34.8341698957]]]}', 'state': 'active'}, {'id': '025e21f2-7534-43a7-8556-047fbfd7f608', 'package_id': '0894e55b-3e79-4b6e-b71d-5992df7efa44', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': '590e878a-0b90-4fa8-8b30-f38a50d8c7d5', 'package_id': '0894e55b-3e79-4b6e-b71d-5992df7efa44', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "imageryBaseMapsEarthCover"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': '964d2862-b467-40db-bb50-aaaa88880934', 'name': 'availability_of_exploitable_invasive_alien_plants', 'title': 'Availability of Exploitable Invasive Alien Plants', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, 'notes': 'Data was derived from the following sources: CSIR based their assessment of standing IAP biomass on work done by the ARC, supplemented by an evaluation of species that may be exploitable, typical mass of such species, and the relative ease by which these can be exploited. Refer to the detailed BioEnergy Atlas report in this regard. This data was assigned to planning polygons (meso-zones) and the basis of calculation of exploitable biomass adjusted for a 20-year eradication programme (i.e. harvest 1/20th each year, supplemented by the annual increment of the remaining biomass).', 'license_id': None, 'type': 'dataset', 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-10-16T14:18:41.544367', 'metadata_modified': '2025-10-17T09:39:40.740321', 'private': False, 'state': 'active', 'resources': [{'id': '985a2370-8695-4a84-9428-5b46ddbaac86', 'package_id': '964d2862-b467-40db-bb50-aaaa88880934', 'url': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000080', 'format': 'GEOMAP', 'description': '', 'hash': '', 'position': 0, 'name': 'Availability of Exploitable Invasive Alien Plants', 'resource_type': 'other', 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-10-16T14:19:52.976646', 'last_modified': None, 'metadata_modified': '2025-10-16T14:19:52.966248', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': '', 'upload_mode': 'single'}], 'num_resources': 1, 'tags': [{'id': 'ca34cd72-b5a2-4f3f-81d8-61b65cd42ef8', 'name': 'Bioenergy', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Bioenergy'}, {'id': 'ad6bb22c-77f7-4d69-81bb-a19bc4bceb95', 'name': 'Environment', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Environment'}, {'id': 'c8ae6871-1f36-4892-8b69-60c34802240b', 'name': 'biodiversity indices', 'vocabulary_id': None, 'state': 'active', 'display_name': 'biodiversity indices'}, {'id': '201e2748-5553-4e2e-990c-31ce75892d7f', 'name': 'ecosystem services', 'vocabulary_id': None, 'state': 'active', 'display_name': 'ecosystem services'}, {'id': '1722381a-3be4-46ea-9bcd-9d89526c69f3', 'name': 'energy', 'vocabulary_id': None, 'state': 'active', 'display_name': 'energy'}, {'id': 'ae210958-a72f-4eed-b116-a4a41c90185a', 'name': 'invasive alien plants', 'vocabulary_id': None, 'state': 'active', 'display_name': 'invasive alien plants'}, {'id': '29359c57-f6fe-440c-81c0-f128049713fd', 'name': 'surface water', 'vocabulary_id': None, 'state': 'active', 'display_name': 'surface water'}], 'num_tags': 7, 'extras': [{'id': '86868a0d-cd87-4605-b81b-aaf959f35823', 'package_id': '964d2862-b467-40db-bb50-aaaa88880934', 'key': 'contact', 'value': '[{"electronic_mail_address": "curation@saeon.nrf.ac.za", "individual_name": "Wim Hugo", "position_name": "", "role": "point_of_contact"}]', 'state': 'active'}, {'id': 'c394fdc9-e1fa-44f0-bbfc-f005326e415f', 'package_id': '964d2862-b467-40db-bb50-aaaa88880934', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '26cb5f19-33ef-49dc-91ab-5b42d7be5df7', 'package_id': '964d2862-b467-40db-bb50-aaaa88880934', 'key': 'dataset_reference_date', 'value': '[{"reference": "2015-01-01T00:00", "reference_date_type": 1}]', 'state': 'active'}, {'id': 'ff6f1847-54d4-40f8-9d4a-704223ac9779', 'package_id': '964d2862-b467-40db-bb50-aaaa88880934', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': 'd7b24b19-e867-4f83-bcb3-f867b580c89f', 'package_id': '964d2862-b467-40db-bb50-aaaa88880934', 'key': 'doi', 'value': '10.15493/BEA.DATA.10000080', 'state': 'active'}, {'id': 'e825b07a-86cd-46ad-900b-b7852421d25d', 'package_id': '964d2862-b467-40db-bb50-aaaa88880934', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': '6d7ed170-2f10-4907-a383-ca814c280812', 'package_id': '964d2862-b467-40db-bb50-aaaa88880934', 'key': 'lineage_statement', 'value': 'Data was derived from the following sources: * CSIR based their assessment of standing IAP biomass on work done by the ARC, supplemented by an evaluation of species that may be exploitable, typical mass of such species, and the relative ease by which these can be exploited. Refer to the detailed BioEnergy Atlas report in this regard. * This data was assigned to planning polygons (meso-zones) and the basis of calculation of exploitable biomass adjusted for a 20-year eradication programme (i.e. harvest 1/20th each year, supplemented by the annual increment of the remaining biomass).', 'state': 'active'}, {'id': '102d58d3-33b3-4415-b9fa-d4dd6b2851b1', 'package_id': '964d2862-b467-40db-bb50-aaaa88880934', 'key': 'metadata_date', 'value': '2025-10-16T00:00', 'state': 'active'}, {'id': '5743d32f-2824-4f8f-9ad0-7b2693e04787', 'package_id': '964d2862-b467-40db-bb50-aaaa88880934', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': 'ac5b12e3-9e0c-4093-84fd-7541e6c2f398', 'package_id': '964d2862-b467-40db-bb50-aaaa88880934', 'key': 'metadata_standard', 'value': '[{"name": null, "version": null}]', 'state': 'active'}, {'id': '47828cf6-11d3-478c-bfec-6f5aec946ae2', 'package_id': '964d2862-b467-40db-bb50-aaaa88880934', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': '06f8c1c5-ad4c-4061-a399-bf9876c89db3', 'package_id': '964d2862-b467-40db-bb50-aaaa88880934', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": 2, "linkage": "https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000080", "name": "Availability of Exploitable Invasive Alien Plants"}]', 'state': 'active'}, {'id': '0eee584a-1279-460b-8ae7-c8dd5c4e862f', 'package_id': '964d2862-b467-40db-bb50-aaaa88880934', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': 'decffb15-c0e8-49d8-97d9-54aa24f5076e', 'package_id': '964d2862-b467-40db-bb50-aaaa88880934', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "South African Environmental Observation Network", "position_name": "Organisation", "role": "resource_provider", "website": "catalogue.saeon.ac.za"}]', 'state': 'active'}, {'id': '365c1369-6a9c-4048-bce7-8ffb55cbfe5a', 'package_id': '964d2862-b467-40db-bb50-aaaa88880934', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "", "delivery_point": "", "postal_code": ""}]', 'state': 'active'}, {'id': '350ba122-fc8f-45b3-8e89-160f0b557771', 'package_id': '964d2862-b467-40db-bb50-aaaa88880934', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '56531fe5-dfff-4fc6-a671-f1e34ff7dbb4', 'package_id': '964d2862-b467-40db-bb50-aaaa88880934', 'key': 'spatial', 'value': '{"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'}, {'id': '80266566-b47c-4bd1-a62a-59e4b376a97d', 'package_id': '964d2862-b467-40db-bb50-aaaa88880934', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': 'd4b20122-e7a6-4336-9705-fde09522b8bd', 'package_id': '964d2862-b467-40db-bb50-aaaa88880934', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "environment"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'name': 'availability_of_sugar_cane_field_residues', 'title': 'Availability of Sugar Cane Field Residues', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, '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) .', 'license_id': None, 'type': 'dataset', 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-09-25T13:51:51.505431', 'metadata_modified': '2025-10-17T09:37:57.386121', 'private': False, 'state': 'active', 'resources': [{'id': '736c3288-9873-40c9-b235-d3694cd201f3', 'package_id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'url': 'https://repository.saeon.ac.za/index.php/s/aa5pAfNjzabbcjF', 'format': '', 'description': '', 'hash': '', 'position': 0, 'name': 'Availability of Sugar Cane Field Residues', 'resource_type': 'other', 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-09-25T13:52:53.602259', 'last_modified': None, 'metadata_modified': '2025-09-25T13:52:53.567175', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': '', 'upload_mode': 'single'}], 'num_resources': 1, 'tags': [{'id': 'ca34cd72-b5a2-4f3f-81d8-61b65cd42ef8', 'name': 'Bioenergy', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Bioenergy'}, {'id': '7212f987-9a76-4d73-bf13-da41d2c5a0b1', 'name': 'Commercial crop system', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Commercial crop system'}, {'id': '2e773657-95fa-4b64-9488-bb790e61bcbf', 'name': 'Energy', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Energy'}, {'id': '0a7dc286-a500-49de-9647-3bbb4e46a0f5', 'name': 'Farming', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Farming'}, {'id': 'e9c2ba74-5eec-405f-bf77-5b0483eae3bf', 'name': 'agriculture', 'vocabulary_id': None, 'state': 'active', 'display_name': 'agriculture'}, {'id': '5d397292-d46b-4ffe-9868-986b0a4737e1', 'name': 'bagasse', 'vocabulary_id': None, 'state': 'active', 'display_name': 'bagasse'}, {'id': '3599fc01-138e-449a-8618-4697ace9ddfe', 'name': 'biomass', 'vocabulary_id': None, 'state': 'active', 'display_name': 'biomass'}, {'id': 'b1727c3e-a49f-4b2e-b20f-3c339941f158', 'name': 'fibre', 'vocabulary_id': None, 'state': 'active', 'display_name': 'fibre'}, {'id': 'e3812ca4-f53d-4e3c-991b-93e27a697c52', 'name': 'field residue', 'vocabulary_id': None, 'state': 'active', 'display_name': 'field residue'}, {'id': '1044ebdf-3fbd-400a-840a-691c46a9d0f6', 'name': 'ligno-cellulose', 'vocabulary_id': None, 'state': 'active', 'display_name': 'ligno-cellulose'}, {'id': '72c85e81-8819-41f9-9327-fb5418e73e31', 'name': 'potential', 'vocabulary_id': None, 'state': 'active', 'display_name': 'potential'}, {'id': '00467143-d7fa-48c1-b70f-20667c4b9fbe', 'name': 'residue', 'vocabulary_id': None, 'state': 'active', 'display_name': 'residue'}, {'id': '6fb6009f-3480-4660-a3f9-eb0e3724045a', 'name': 'straw', 'vocabulary_id': None, 'state': 'active', 'display_name': 'straw'}, {'id': '8183afee-04eb-4a1b-94be-0d9cbb8a6d2c', 'name': 'sugar cane', 'vocabulary_id': None, 'state': 'active', 'display_name': 'sugar cane'}], 'num_tags': 14, 'extras': [{'id': '12122360-f94b-4707-9a24-a7a73fac67a5', 'package_id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'key': 'contact', 'value': '[{"electronic_mail_address": "curation@saeon.nrf.ac.za", "individual_name": "Wim Hugo", "position_name": "", "role": "point_of_contact"}]', 'state': 'active'}, {'id': 'a5a599f9-d7db-4a27-8def-2218952d8c53', 'package_id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '4602d1d1-e8ae-4733-a440-f2f8a1628a73', 'package_id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'key': 'dataset_reference_date', 'value': '[{"reference": "2015-01-01T00:00", "reference_date_type": 1}]', 'state': 'active'}, {'id': 'acb1dcd0-3123-414f-af32-a25642d20823', 'package_id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': '44e5cf67-e1b1-4bc6-a942-6f3aff96bc79', 'package_id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'key': 'doi', 'value': '10.15493/BEA.DATA.10000074', 'state': 'active'}, {'id': 'fa54f412-cc96-4fd0-b79f-c930ac26ba47', 'package_id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': '66de95b8-d6ba-447a-8e68-d7da21a341c3', 'package_id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'key': 'lineage_statement', 'value': '"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).', 'state': 'active'}, {'id': '97332948-263c-47c3-adbf-6ea99f773e11', 'package_id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'key': 'metadata_date', 'value': '2015-01-01T00:00', 'state': 'active'}, {'id': '3770f176-9d3b-46a1-a632-f7d18aaa9076', 'package_id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': 'fadb456f-b5d0-410f-b779-c6532764dff3', 'package_id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'key': 'metadata_standard', 'value': '[{"name": null, "version": null}]', 'state': 'active'}, {'id': '1c3cd99a-088e-47c3-a23c-59b1a2588a6a', 'package_id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': '1b10a8fe-b83a-4f48-86f5-93e5e22dc1ec', 'package_id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": 2, "linkage": "https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000074", "name": "Availability of Sugar Cane Field Residues"}]', 'state': 'active'}, {'id': '1507fd78-9560-44b5-af57-ce69c6d1423e', 'package_id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': '424437de-2ad1-4dd0-89c6-7f03c9c73bdc', 'package_id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'key': 'responsible_party', 'value': '[{"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/"}]', 'state': 'active'}, {'id': '69046d74-848c-4af5-8d22-c8e60e22ee2b', 'package_id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "Pretoria", "delivery_point": "", "postal_code": ""}]', 'state': 'active'}, {'id': '7c90d282-fe42-43cd-925a-7578c4cc5b26', 'package_id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '8fb6246b-c5bb-4905-ad7f-0689e810ee8a', 'package_id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'key': 'spatial', 'value': '{"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'}, {'id': '2349ac70-385e-467e-b0c9-b80dc196e921', 'package_id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': '588fff52-1dae-4a6b-a795-0a8dc192417b', 'package_id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "farming"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': '9443de7a-7bf5-46e9-b05b-a457c4ce3486', 'name': 'bathymetry_data_collected_from_ballito_birthday_november_2021', 'title': 'Bathymetry data collected from Ballito Birthday, November 2021', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, 'notes': "This dataset forms part of the South African Institute for Aquatic Biodiversity (SAIAB)'s collection of Bathymetry data for the African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA. This multi-disciplinary study will begin at the start of implementation of two new MPAs (uThukela MPA and Protea Banks MPA, both proclaimed in 2019), and will generate the relevant data needed to underpin an evidence-based approach to adaptive management of the MPAs, within a “SMART” framework. This framework defines Specific objectives for the different MPA zones; develops measurable indicators of success for each zone; sets achievable goals given the limited resources available for planning and management; ensures that the research findings are relevant (to both biodiversity and human stakeholders). This is a rare time-sensitive opportunity to conduct baseline surveys of the geology, benthic biodiversity (sessile and mobile species), reef-associated ichthyoplankton and mero-zooplankton and fish communities of mesophotic (40-150m) soft-coral and sponge-dominated reefs and submarine habitats located in three different management zones at the initiation of management of two brand new MPAs, against which long-term monitoring data can be compared to assess the effectiveness of the MPAs in achieving their objectives. The balanced sampling design is such that it will also initiate a “natural experiment” that over time will investigate the effect of no-take zones on fish diversity and abundance, benthic community structure, and trophic complexity. This will also enable the determination of the value of the MPA for fisheries sustainability support and resilience to disturbances caused by extrinsic factors such as pollution or climate change. Additionally, this study will assess whether the zonation plan provides for representation of all reef and canyon types within each zone or if there is unbalanced coverage for certain reefs and in certain zones. This is important to assess at the initiation of the MPA, especially to ensure that the interpretation of monitoring results in future, which compare ecosystems and fish on reefs and canyons in the mesophotic zone, are not flawed by natural differences from the outset due to the selection of zone boundaries. 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.", 'license_id': None, 'type': 'dataset', 'owner_org': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-09-11T14:01:12.019504', 'metadata_modified': '2025-09-12T08:45:39.553236', 'private': False, 'state': 'active', 'resources': [{'id': 'e061c850-00e4-41ab-9522-fe4eecbe6520', 'package_id': '9443de7a-7bf5-46e9-b05b-a457c4ce3486', 'url': 'https://catalogue.saeon.ac.za/list/records/10.15493/NRF.SAIAB.20232509?search=68c2b42da71d058a420b0236&disableSidebar=false&showSearchBar=true', 'format': '', 'description': '', 'hash': '', 'position': 0, 'name': 'Bathymetry data collected from Ballito Birthday, November 2021', 'resource_type': None, 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-09-11T14:01:33.330251', 'last_modified': None, 'metadata_modified': '2025-09-12T08:45:39.558815', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': ''}], 'num_resources': 1, 'tags': [{'id': '2547e672-a968-4048-814b-29a682525254', 'name': 'Oceans', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Oceans'}, {'id': 'e90bd4d4-da24-418e-a5b1-f9d0cf063793', 'name': 'SGB systems', 'vocabulary_id': None, 'state': 'active', 'display_name': 'SGB systems'}, {'id': '84d64091-149a-4cd4-bf97-f828e908fe76', 'name': 'bathymetry', 'vocabulary_id': None, 'state': 'active', 'display_name': 'bathymetry'}, {'id': '903bf930-556a-402c-a784-3c57de8bc65b', 'name': 'hydrographic', 'vocabulary_id': None, 'state': 'active', 'display_name': 'hydrographic'}, {'id': '1fe9236d-3571-4fe0-9305-f1b40579e991', 'name': 'multibeam bathymetry', 'vocabulary_id': None, 'state': 'active', 'display_name': 'multibeam bathymetry'}, {'id': '4519985f-d5a9-4c63-bc4e-ec1ecbddd168', 'name': 'res', 'vocabulary_id': None, 'state': 'active', 'display_name': 'res'}], 'num_tags': 6, 'extras': [{'id': '252dd749-72b2-4c8d-8e5c-a11841c16dc1', 'package_id': '9443de7a-7bf5-46e9-b05b-a457c4ce3486', 'key': 'contact', 'value': '[{"electronic_mail_address": "T.Wanda@saiab.nrf.ac.za", "individual_name": "Thamsanqa Wanda", "position_name": "Geologist", "role": "point_of_contact"}]', 'state': 'active'}, {'id': '22b34790-3e46-4f96-a3cb-5a40e1a26cec', 'package_id': '9443de7a-7bf5-46e9-b05b-a457c4ce3486', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': 'd97b8ef7-f641-4e57-b1eb-9e62272af24b', 'package_id': '9443de7a-7bf5-46e9-b05b-a457c4ce3486', 'key': 'dataset_reference_date', 'value': '[{"reference": "202301-02-07T00:00", "reference_date_type": 1}]', 'state': 'active'}, {'id': '493e7268-ade2-4b3f-afab-c5a0968cd138', 'package_id': '9443de7a-7bf5-46e9-b05b-a457c4ce3486', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': '3f676fd9-431f-4fa6-b101-2206cfb377db', 'package_id': '9443de7a-7bf5-46e9-b05b-a457c4ce3486', 'key': 'doi', 'value': '10.15493/NRF.SAIAB.20232509', 'state': 'active'}, {'id': '459e2cd1-fe9c-4368-bd4c-52a261b1c7ec', 'package_id': '9443de7a-7bf5-46e9-b05b-a457c4ce3486', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': '2eb273f2-4b75-4e4e-8195-923e8114f6ef', 'package_id': '9443de7a-7bf5-46e9-b05b-a457c4ce3486', 'key': 'lineage_statement', 'value': ' 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.",', 'state': 'active'}, {'id': 'd81b8f55-49a1-4a14-9700-a7df33b7aa33', 'package_id': '9443de7a-7bf5-46e9-b05b-a457c4ce3486', 'key': 'metadata_date', 'value': '202301-02-07T00:00', 'state': 'active'}, {'id': 'f460afff-d6dc-4207-9e9c-971d43b725f3', 'package_id': '9443de7a-7bf5-46e9-b05b-a457c4ce3486', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': 'b0f08bc1-9739-4660-952e-6c4cd24e0c74', 'package_id': '9443de7a-7bf5-46e9-b05b-a457c4ce3486', 'key': 'metadata_standard', 'value': '[{"name": null, "version": null}]', 'state': 'active'}, {'id': 'be6ee42f-3739-463d-907e-d519f78422c0', 'package_id': '9443de7a-7bf5-46e9-b05b-a457c4ce3486', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': '5dd9d8b6-4043-40f7-b084-7ce63ae86b0d', 'package_id': '9443de7a-7bf5-46e9-b05b-a457c4ce3486', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": 2, "linkage": "http://doi.org/10.15493/NRF.SAIAB.20232509 ", "name": "bathymetry_data_collected_from_ballito_birthday_november_2021"}]', 'state': 'active'}, {'id': '8419db05-43d9-4804-aa88-044b721a5aab', 'package_id': '9443de7a-7bf5-46e9-b05b-a457c4ce3486', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': '111f3888-7b48-48a6-921e-53246c51c706', 'package_id': '9443de7a-7bf5-46e9-b05b-a457c4ce3486', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "South African Institute for Aquatic Biodiversity ", "position_name": "SAIAB", "role": "owner", "website": "https://nrfsaiab.wixsite.com/gemapocean"}]', 'state': 'active'}, {'id': '0fd44d93-1e2f-43cf-9752-8abf6f202b12', 'package_id': '9443de7a-7bf5-46e9-b05b-a457c4ce3486', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "Makhanda", "delivery_point": "Somerset Street", "postal_code": "6139"}]', 'state': 'active'}, {'id': '38d41248-ae1d-43e2-94cb-b86a0176e67c', 'package_id': '9443de7a-7bf5-46e9-b05b-a457c4ce3486', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '8bb47cba-b93e-4bf9-893c-ddcacce6e81c', 'package_id': '9443de7a-7bf5-46e9-b05b-a457c4ce3486', 'key': 'spatial', 'value': '{"type": "Polygon", "coordinates": [[[31.363237, -29.522031], [31.427626, -29.522031], [31.427626, -29.459967], [31.363237, -29.459967], [31.363237, -29.522031]]]}', 'state': 'active'}, {'id': 'de8f079d-d218-4f8c-b283-743274afbfce', 'package_id': '9443de7a-7bf5-46e9-b05b-a457c4ce3486', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': '485b5ec4-fd17-447a-a554-12e739dc60fd', 'package_id': '9443de7a-7bf5-46e9-b05b-a457c4ce3486', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "oceans"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': '2d055e06-42f7-4fed-a1ba-586a33c6030e', 'name': 'bathymetry_data_collected_from_durnford_hats_march_2022', 'title': 'Bathymetry data collected from Durnford Hats, March 2022', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, 'notes': "This dataset forms part of the the South African Institute for Aquatic Biodiversity (SAIAB)'s collection of Bathymetry data for the African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA. This multi-disciplinary study will begin at the start of implementation of two new MPAs (uThukela MPA and Protea Banks MPA, both proclaimed in 2019), and will generate the relevant data needed to underpin an evidence-based approach to adaptive management of the MPAs, within a “SMART” framework. This framework defines specific objectives for the different MPA zones; develops measurable indicators of success for each zone; sets achievable goals given the limited resources available for planning and management; ensures that the research findings are relevant (to both biodiversity and human stakeholders). This is a rare time-sensitive opportunity to conduct baseline surveys of the geology, benthic biodiversity (sessile and mobile species), reef-associated ichthyoplankton and mero-zooplankton and fish communities of mesophotic (40-150m) soft-coral and sponge-dominated reefs and submarine habitats located in three different management zones at initiation of management of two brand new MPAs, against which long-term monitoring data can be compared to assess the effectiveness of the MPAs in achieving their objectives. The balanced sampling design is such that it will also initiate a “natural experiment” that over time will investigate the effect of no-take zones on fish diversity and abundance, benthic community structure, and trophic complexity. This will also enable the determination of the value of the MPA for fisheries sustainability support and resilience to disturbances caused by extrinsic factors such as pollution or climate change. Additionally, this study will assess whether the zonation plan provides for representation of all reef and canyon types within each zone or if there is unbalanced coverage for certain reefs and in certain zones. This is important to assess at the initiation of the MPA, especially to ensure that interpretation of monitoring results in future, which compare ecosystems and fish on reefs and canyons in the mesophotic zone, are not flawed by natural differences from the outset due to the selection of zone boundaries. This dataset consists of XYZ points below the sea surface and relative to mean sea level. This data was collected under the ACEP SMART ZONES MPA project (2021 – 2023) using the ACEP Geophysics and Mapping Platform.", 'license_id': None, 'type': 'dataset', 'owner_org': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-09-11T13:21:58.336597', 'metadata_modified': '2025-09-12T08:49:05.974746', 'private': False, 'state': 'active', 'resources': [{'id': '1250225b-9110-4b61-a42f-e6bf7659926a', 'package_id': '2d055e06-42f7-4fed-a1ba-586a33c6030e', 'url': 'https://catalogue.saeon.ac.za/list/records/10.15493/NRF.SAIAB.20232512?search=68c2b42da71d058a420b0236&disableSidebar=false&showSearchBar=true', 'format': '', 'description': '', 'hash': '', 'position': 0, 'name': 'Bathymetry data collected from Durnford Hats, March 2022', 'resource_type': 'other', 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-09-12T08:49:06.004501', 'last_modified': None, 'metadata_modified': '2025-09-12T08:49:05.984362', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': '', 'upload_mode': 'single'}], 'num_resources': 1, 'tags': [{'id': '2547e672-a968-4048-814b-29a682525254', 'name': 'Oceans', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Oceans'}, {'id': 'e90bd4d4-da24-418e-a5b1-f9d0cf063793', 'name': 'SGB systems', 'vocabulary_id': None, 'state': 'active', 'display_name': 'SGB systems'}, {'id': '84d64091-149a-4cd4-bf97-f828e908fe76', 'name': 'bathymetry', 'vocabulary_id': None, 'state': 'active', 'display_name': 'bathymetry'}, {'id': '903bf930-556a-402c-a784-3c57de8bc65b', 'name': 'hydrographic', 'vocabulary_id': None, 'state': 'active', 'display_name': 'hydrographic'}, {'id': '1fe9236d-3571-4fe0-9305-f1b40579e991', 'name': 'multibeam bathymetry', 'vocabulary_id': None, 'state': 'active', 'display_name': 'multibeam bathymetry'}], 'num_tags': 5, 'extras': [{'id': '480ae0ca-c897-4aef-823a-e78aca7df5ae', 'package_id': '2d055e06-42f7-4fed-a1ba-586a33c6030e', 'key': 'contact', 'value': '[{"electronic_mail_address": "T.Wanda@saiab.nrf.ac.za", "individual_name": "Thamsanqa Wanda", "position_name": "Geologist", "role": "point_of_contact"}]', 'state': 'active'}, {'id': 'cae807e2-7746-4c60-81c1-72aec0bfdec6', 'package_id': '2d055e06-42f7-4fed-a1ba-586a33c6030e', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '5fbbbffd-19ef-47bd-b178-5aa2ac4e4a99', 'package_id': '2d055e06-42f7-4fed-a1ba-586a33c6030e', 'key': 'dataset_reference_date', 'value': '[{"reference": "2023-01-27T14:15", "reference_date_type": 1}]', 'state': 'active'}, {'id': '85d6fe5b-8046-4daa-b554-da1ecc5a9469', 'package_id': '2d055e06-42f7-4fed-a1ba-586a33c6030e', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': 'e09f111c-32e9-4894-89c5-87bf9b257d8b', 'package_id': '2d055e06-42f7-4fed-a1ba-586a33c6030e', 'key': 'doi', 'value': '10.15493/NRF.SAIAB.20232512', 'state': 'active'}, {'id': '150d37b7-d5ce-4223-8baa-42de0a409ac2', 'package_id': '2d055e06-42f7-4fed-a1ba-586a33c6030e', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': '40599da1-ec50-4fdb-9ac7-e64aa2ea6a61', 'package_id': '2d055e06-42f7-4fed-a1ba-586a33c6030e', 'key': 'lineage_statement', 'value': 'This dataset consists of XYZ points below the sea surface and relative to mean sea level. This data was collected under the ACEP SMART ZONES MPA project (2021 – 2023) using the ACEP Geophysics and Mapping Platform.', 'state': 'active'}, {'id': '4feb119c-f57a-40c5-88ac-fead9be9e298', 'package_id': '2d055e06-42f7-4fed-a1ba-586a33c6030e', 'key': 'metadata_date', 'value': '2023-01-27T14:15', 'state': 'active'}, {'id': '4526ab7d-f9ca-4daa-ad0b-c4f82eb8f85b', 'package_id': '2d055e06-42f7-4fed-a1ba-586a33c6030e', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': '17a90cf1-7495-4636-96f4-4eb7ba79d50d', 'package_id': '2d055e06-42f7-4fed-a1ba-586a33c6030e', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': '867d2adb-a9f8-4ffe-99f6-2e348112ee80', 'package_id': '2d055e06-42f7-4fed-a1ba-586a33c6030e', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": 2, "linkage": "http://doi.org/10.15493/NRF.SAIAB.20232512", "name": "bathymetry_data_collected_from_durnford_hats_march_2022"}]', 'state': 'active'}, {'id': 'd069c4a9-77eb-4c2a-ba72-fb49fe83f969', 'package_id': '2d055e06-42f7-4fed-a1ba-586a33c6030e', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': '83f63571-e195-4bf5-a856-5388882146d3', 'package_id': '2d055e06-42f7-4fed-a1ba-586a33c6030e', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "South African Institute for Aquatic Biodiversity ", "position_name": "SAIAB", "role": "owner", "website": ""}]', 'state': 'active'}, {'id': 'c6e431f2-cfb3-479a-8579-8de05a8008d7', 'package_id': '2d055e06-42f7-4fed-a1ba-586a33c6030e', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "Makhanda", "delivery_point": "Somerset Street", "postal_code": "6139"}]', 'state': 'active'}, {'id': '15c10a2c-98ea-4922-bfe5-4b7e49635935', 'package_id': '2d055e06-42f7-4fed-a1ba-586a33c6030e', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '242d87ca-9c3e-47d2-9342-27e760a09e6f', 'package_id': '2d055e06-42f7-4fed-a1ba-586a33c6030e', 'key': 'spatial', 'value': '{"type": "Polygon", "coordinates": [[[32.140081, -28.981474], [32.174743, -28.981474], [32.174743, -28.95353], [32.140081, -28.95353], [32.140081, -28.981474]]]}', 'state': 'active'}, {'id': '7733d30c-2598-466a-adda-d1c9bc578e3f', 'package_id': '2d055e06-42f7-4fed-a1ba-586a33c6030e', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': '5aabb015-3253-4759-ab75-45331c71d193', 'package_id': '2d055e06-42f7-4fed-a1ba-586a33c6030e', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "oceans"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': '209cd0fd-d80b-492e-969e-e8223d010104', 'name': 'bathymetry_data_collected_from_mobile_epibenthic_invertebrate_stations_november_2022', 'title': 'Bathymetry data collected from Mobile Epibenthic Invertebrate Stations, November 2022', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, '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.", 'license_id': None, 'type': 'dataset', 'owner_org': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-09-11T14:21:53.400156', 'metadata_modified': '2025-09-12T08:29:23.503760', 'private': False, 'state': 'active', 'resources': [{'id': 'f6492885-e526-4883-ba79-61a161dc0806', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'url': 'https://catalogue.saeon.ac.za/list/records/10.15493/NRF.SAIAB.20232516?search=68c2b42da71d058a420b0236&disableSidebar=false&showSearchBar=true', 'format': '', 'description': '', 'hash': '', 'position': 0, 'name': 'Bathymetry data collected from Mobile Epibenthic Invertebrate Stations, November 2022', 'resource_type': None, 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-09-11T14:22:17.751814', 'last_modified': None, 'metadata_modified': '2025-09-12T08:29:23.519836', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': ''}], 'num_resources': 1, 'tags': [{'id': '2547e672-a968-4048-814b-29a682525254', 'name': 'Oceans', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Oceans'}, {'id': 'e90bd4d4-da24-418e-a5b1-f9d0cf063793', 'name': 'SGB systems', 'vocabulary_id': None, 'state': 'active', 'display_name': 'SGB systems'}, {'id': '84d64091-149a-4cd4-bf97-f828e908fe76', 'name': 'bathymetry', 'vocabulary_id': None, 'state': 'active', 'display_name': 'bathymetry'}, {'id': '903bf930-556a-402c-a784-3c57de8bc65b', 'name': 'hydrographic', 'vocabulary_id': None, 'state': 'active', 'display_name': 'hydrographic'}, {'id': '1fe9236d-3571-4fe0-9305-f1b40579e991', 'name': 'multibeam bathymetry', 'vocabulary_id': None, 'state': 'active', 'display_name': 'multibeam bathymetry'}, {'id': '4ff1fff4-deb9-4256-a9c0-f03802b2d0e7', 'name': 'reson', 'vocabulary_id': None, 'state': 'active', 'display_name': 'reson'}], 'num_tags': 6, 'extras': [{'id': 'b5fb4aa2-8e4c-4c2c-a415-5c2b1b5d65a1', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'key': 'contact', 'value': '[{"electronic_mail_address": "T.Wanda@saiab.nrf.ac.za", "individual_name": "Thamsanqa Wanda", "position_name": "Geologist", "role": "point_of_contact"}]', 'state': 'active'}, {'id': 'e5f670ef-577c-47bd-8f66-2d4bf66dc29e', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '5700e751-322a-4d94-982d-e86451cdcfaa', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'key': 'dataset_reference_date', 'value': '[{"reference": "2023-01-27T00:00", "reference_date_type": 1}]', 'state': 'active'}, {'id': 'cd16f890-1f22-42a1-811c-ff777296a047', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': 'e3885e26-c589-4a45-bb6d-8e40d10010cb', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'key': 'doi', 'value': '10.15493/NRF.SAIAB.20232516', 'state': 'active'}, {'id': 'a942ca56-bd8c-441d-a9de-a7830f9bc8c4', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': '5fb64d91-b4e0-47f9-9a10-b45c0a56a636', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'key': 'lineage_statement', 'value': '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.', 'state': 'active'}, {'id': 'e70dca50-7b33-4db8-88a4-92c7ea0adc69', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'key': 'metadata_date', 'value': '2023-01-27T00:00', 'state': 'active'}, {'id': '4151aae2-e6e7-45de-84a6-639cbdafbdcf', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': '95daf7cb-3082-41e7-ad01-65f6e5456447', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'key': 'metadata_standard', 'value': '[{"name": null, "version": null}]', 'state': 'active'}, {'id': '4ceb8b97-527a-4670-8391-c81295e6581a', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': 'b7798b61-13e1-42a5-8d43-5c68d8da6551', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": 2, "linkage": "http://doi.org/10.15493/NRF.SAIAB.20232516", "name": "bathymetry_data_collected_from_mobile_epibenthic_invertebrate_stations_november_2022"}]', 'state': 'active'}, {'id': 'a1e70bb4-da9f-412b-b921-6499c9eed177', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': '18a563e2-006e-4374-8a16-dcbc76fb090a', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "South African Institute for Aquatic Biodiversity ", "position_name": "SAIAB", "role": "owner", "website": "https://nrfsaiab.wixsite.com/gemapocean"}]', 'state': 'active'}, {'id': '10e7bd9a-e2bb-46f8-b2ef-498f990a05d5', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "Makhanda", "delivery_point": "Somerset Street", "postal_code": "6139"}]', 'state': 'active'}, {'id': '2a58a77e-8e02-4651-88f0-96a840d3fda0', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '1061cb0e-91be-4bec-b51f-2181f78eddc3', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'key': 'spatial', 'value': '{"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'}, {'id': 'df8cb77a-f640-4942-b77f-1892124cd651', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': '65c831c5-6e88-493b-baa3-909e4df57e4c', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "oceans"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'name': 'bathymetry_data_collected_from_rosie_snowball_july_2021', 'title': 'Bathymetry data collected from Rosie Snowball, July 2021', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, '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.", 'license_id': None, 'type': 'dataset', 'owner_org': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-09-11T13:54:29.780880', 'metadata_modified': '2025-09-12T08:46:26.411995', 'private': False, 'state': 'active', 'resources': [{'id': '2959380a-7aea-4a5e-9523-95ec9af63568', 'package_id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'url': 'https://catalogue.saeon.ac.za/list/records/10.15493/NRF.SAIAB.20232503?search=68c2b42da71d058a420b0236&disableSidebar=false&showSearchBar=true', 'format': '', 'description': '', 'hash': '', 'position': 0, 'name': 'Bathymetry data collected from Rosie Snowball, July 2021', 'resource_type': None, 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-09-11T13:54:54.935753', 'last_modified': None, 'metadata_modified': '2025-09-12T08:46:26.420572', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': ''}], 'num_resources': 1, 'tags': [{'id': '2547e672-a968-4048-814b-29a682525254', 'name': 'Oceans', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Oceans'}, {'id': 'e90bd4d4-da24-418e-a5b1-f9d0cf063793', 'name': 'SGB systems', 'vocabulary_id': None, 'state': 'active', 'display_name': 'SGB systems'}, {'id': '84d64091-149a-4cd4-bf97-f828e908fe76', 'name': 'bathymetry', 'vocabulary_id': None, 'state': 'active', 'display_name': 'bathymetry'}, {'id': '903bf930-556a-402c-a784-3c57de8bc65b', 'name': 'hydrographic', 'vocabulary_id': None, 'state': 'active', 'display_name': 'hydrographic'}, {'id': '1fe9236d-3571-4fe0-9305-f1b40579e991', 'name': 'multibeam bathymetry', 'vocabulary_id': None, 'state': 'active', 'display_name': 'multibeam bathymetry'}, {'id': '4ff1fff4-deb9-4256-a9c0-f03802b2d0e7', 'name': 'reson', 'vocabulary_id': None, 'state': 'active', 'display_name': 'reson'}], 'num_tags': 6, 'extras': [{'id': 'f66c5e5c-3c8a-4ad0-a6bd-108dfbd43cbd', 'package_id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'key': 'contact', 'value': '[{"electronic_mail_address": "T.Wanda@saiab.nrf.ac.za", "individual_name": "Thamsanqa Wanda", "position_name": "Geologist", "role": "point_of_contact"}]', 'state': 'active'}, {'id': '3ad646f6-7fe5-4fda-89e8-06ec6f021ef1', 'package_id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': 'e7f0a810-127e-45b4-a174-8effc66ef76d', 'package_id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'key': 'dataset_reference_date', 'value': '[{"reference": "2023-01-26T00:00", "reference_date_type": 1}]', 'state': 'active'}, {'id': 'bf5a7524-faa2-4807-b210-f8a85ced1271', 'package_id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': '4e89cb3b-f624-4eb7-a037-7dbf08cce0a2', 'package_id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'key': 'doi', 'value': '10.15493/NRF.SAIAB.20232503', 'state': 'active'}, {'id': '67ab9c1c-e6a6-44ff-bcf1-a0059bd21945', 'package_id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': '04a3b2ac-3d1d-4ce2-a66c-5f4c099b7c1c', 'package_id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'key': 'lineage_statement', 'value': '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.', 'state': 'active'}, {'id': '3e77205a-b52e-4931-a7d2-2f479c86f33f', 'package_id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'key': 'metadata_date', 'value': '202301-02-06T00:00', 'state': 'active'}, {'id': '9a5590b6-7a52-4825-aa6f-0fdb0be54032', 'package_id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': 'a81f7fdc-3fbb-4008-bedb-e05cd6f31c50', 'package_id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'key': 'metadata_standard', 'value': '[{"name": null, "version": null}]', 'state': 'active'}, {'id': 'db4a0f07-3006-4bda-bfb2-ea575ca116b0', 'package_id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': '74a82df0-1493-4739-9708-ff223cb6d27a', 'package_id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": 2, "linkage": "http://doi.org/10.15493/NRF.SAIAB.202325031 ", "name": "bathymetry_data_collected_from_rosie_snowball_july_2021"}]', 'state': 'active'}, {'id': 'e9bce631-9b77-4a11-ae90-702d6fec418d', 'package_id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': '1bf3d49a-c79c-4045-b7e6-22dbc4c97b08', 'package_id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "South African Institute for Aquatic Biodiversity ", "position_name": "SAIAB", "role": "owner", "website": "https://nrfsaiab.wixsite.com/gemapocean"}]', 'state': 'active'}, {'id': 'c71467bf-3235-42d5-9fcf-a8a5035f02e5', 'package_id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "Makhanda", "delivery_point": "Somerset Street", "postal_code": "6139"}]', 'state': 'active'}, {'id': 'f15e2cff-36e4-4550-a193-2dab7460263f', 'package_id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '0072c2dd-a936-4180-a6ea-206ab540679b', 'package_id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'key': 'spatial', 'value': '{"type": "Polygon", "coordinates": [[[31.151259, -29.840725], [31.218302, -29.840725], [31.218302, -29.771849], [31.151259, -29.771849], [31.151259, -29.840725]]]}', 'state': 'active'}, {'id': '97c486ee-4ed9-4693-9088-8debaf717172', 'package_id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': '366bc359-8f3f-4a9e-b4fe-ac1a2092060f', 'package_id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "oceans"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': '2a686659-89e1-4538-9037-f56c171e75f0', 'name': 'bathymetry_data_collected_from_umdloti_main_reef_december-2020', 'title': 'Bathymetry data collected from uMdloti Main Reef, December 2020', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, '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 hydrographic survey assesses the application of multibeam bathymetry data in biological research. This dataset consists of XYZ points below the sea surface and relative to mean sea level. This data was collected under the ACEP uMdloti Inshore trials (2020) using the ACEP Geophysics and Mapping Platform..\r\n\r\n", 'license_id': None, 'type': 'dataset', 'owner_org': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-09-11T14:08:06.936638', 'metadata_modified': '2025-09-12T09:16:30.363398', 'private': False, 'state': 'active', 'resources': [{'id': 'b961d194-0c39-422b-86aa-3c3cfa88d0ce', 'package_id': '2a686659-89e1-4538-9037-f56c171e75f0', 'url': 'http://doi.org/10.15493/NRF.SAIAB.20232508', 'format': '', 'description': '', 'hash': '', 'position': 0, 'name': 'Bathymetry data collected from uMdloti Main Reef, December 2020', 'resource_type': None, 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-09-11T14:08:29.602218', 'last_modified': None, 'metadata_modified': '2025-09-12T09:16:30.370406', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': ''}], 'num_resources': 1, 'tags': [{'id': '2547e672-a968-4048-814b-29a682525254', 'name': 'Oceans', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Oceans'}, {'id': 'e90bd4d4-da24-418e-a5b1-f9d0cf063793', 'name': 'SGB systems', 'vocabulary_id': None, 'state': 'active', 'display_name': 'SGB systems'}, {'id': '84d64091-149a-4cd4-bf97-f828e908fe76', 'name': 'bathymetry', 'vocabulary_id': None, 'state': 'active', 'display_name': 'bathymetry'}, {'id': '903bf930-556a-402c-a784-3c57de8bc65b', 'name': 'hydrographic', 'vocabulary_id': None, 'state': 'active', 'display_name': 'hydrographic'}, {'id': '1fe9236d-3571-4fe0-9305-f1b40579e991', 'name': 'multibeam bathymetry', 'vocabulary_id': None, 'state': 'active', 'display_name': 'multibeam bathymetry'}, {'id': '4ff1fff4-deb9-4256-a9c0-f03802b2d0e7', 'name': 'reson', 'vocabulary_id': None, 'state': 'active', 'display_name': 'reson'}], 'num_tags': 6, 'extras': [{'id': '202370f2-655d-4434-b540-9f78aebd4309', 'package_id': '2a686659-89e1-4538-9037-f56c171e75f0', 'key': 'contact', 'value': '[{"electronic_mail_address": "T.Wanda@saiab.nrf.ac.za", "individual_name": "Thamsanqa Wanda", "position_name": "Geologist", "role": "point_of_contact"}]', 'state': 'active'}, {'id': '6784af9f-e315-4ceb-968e-bf4f429f7747', 'package_id': '2a686659-89e1-4538-9037-f56c171e75f0', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '0833f97b-c535-4c10-99ea-08326591b089', 'package_id': '2a686659-89e1-4538-9037-f56c171e75f0', 'key': 'dataset_reference_date', 'value': '[{"reference": "2023-01-27T00:00", "reference_date_type": 1}]', 'state': 'active'}, {'id': '8e375c44-53f7-4d69-8b5a-d1e00d26fd77', 'package_id': '2a686659-89e1-4538-9037-f56c171e75f0', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': '83e34323-57a4-4d99-9f4c-4ca1a764be4c', 'package_id': '2a686659-89e1-4538-9037-f56c171e75f0', 'key': 'doi', 'value': '10.15493/NRF.SAIAB.20232508', 'state': 'active'}, {'id': 'bf000f20-6344-4642-b8bd-68dd637c1edd', 'package_id': '2a686659-89e1-4538-9037-f56c171e75f0', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': '1a167025-0433-449c-a2a3-02838b8719b4', 'package_id': '2a686659-89e1-4538-9037-f56c171e75f0', 'key': 'lineage_statement', 'value': 'This dataset consists of XYZ points below the sea surface and relative to mean sea level. This data was collected under the ACEP uMdloti Inshore trials (2020) using the ACEP Geophysics and Mapping Platform.', 'state': 'active'}, {'id': '3833dd29-4021-4b06-b176-3a2809881e7a', 'package_id': '2a686659-89e1-4538-9037-f56c171e75f0', 'key': 'metadata_date', 'value': '2023-01-27T00:00', 'state': 'active'}, {'id': '2dad85a4-d336-4e19-8280-f3f5a220e96c', 'package_id': '2a686659-89e1-4538-9037-f56c171e75f0', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': 'f7a0f49a-9e6c-4283-b306-9ccca29a75da', 'package_id': '2a686659-89e1-4538-9037-f56c171e75f0', 'key': 'metadata_standard', 'value': '[{"name": null, "version": null}]', 'state': 'active'}, {'id': '70025499-e57f-4e2e-8cac-b820070a3001', 'package_id': '2a686659-89e1-4538-9037-f56c171e75f0', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': '7e54deff-b42f-45e7-aa7c-7f6bf1724d65', 'package_id': '2a686659-89e1-4538-9037-f56c171e75f0', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": 2, "linkage": "http://doi.org/10.15493/NRF.SAIAB.20232508", "name": "bathymetry_data_collected_from_umdloti_main_reef_december 2020"}]', 'state': 'active'}, {'id': '69060521-ebf0-49af-a30c-d90751d98e99', 'package_id': '2a686659-89e1-4538-9037-f56c171e75f0', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': '36577e1c-9ad3-4585-b9ea-8b9cc33540cb', 'package_id': '2a686659-89e1-4538-9037-f56c171e75f0', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "South African Institute for Aquatic Biodiversity ", "position_name": "SAIAB", "role": "owner", "website": ""}]', 'state': 'active'}, {'id': '198b06a7-de2b-4fb4-ab3b-4cd46c23c4a7', 'package_id': '2a686659-89e1-4538-9037-f56c171e75f0', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "Makhanda", "delivery_point": "Somerset Street", "postal_code": "6139"}]', 'state': 'active'}, {'id': '0de93d29-ef3a-4784-a54e-aec4f8ee9b15', 'package_id': '2a686659-89e1-4538-9037-f56c171e75f0', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': 'ca4e39f4-bfa7-4485-9242-2304bc87f39e', 'package_id': '2a686659-89e1-4538-9037-f56c171e75f0', 'key': 'spatial', 'value': '{"type": "Polygon", "coordinates": [[[31.111534, -29.710849], [31.165622, -29.710849], [31.165622, -29.647195], [31.111534, -29.647195], [31.111534, -29.710849]]]}', 'state': 'active'}, {'id': '44ce9064-435a-4816-9628-d1c79c4d2646', 'package_id': '2a686659-89e1-4538-9037-f56c171e75f0', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': '43c6b361-c9cb-4b2f-a237-198aabc00f4a', 'package_id': '2a686659-89e1-4538-9037-f56c171e75f0', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "oceans"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': 'bedf2391-65da-40b0-931c-1868f8c8f402', 'name': 'bathymetry_data_collected_from_umhlanga_january_2020', 'title': 'Bathymetry data collected from uMhlanga, January 2020', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, '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 hydrographic survey assesses the application of multibeam bathymetry data in biological research. This dataset consists of XYZ points below the sea surface and relative to the mean sea level. This data was collected under the ACEP Geo-Benthic trials (2020) using the ACEP Geophysics and Mapping Platform.", 'license_id': None, 'type': 'dataset', 'owner_org': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-09-11T13:33:59.643377', 'metadata_modified': '2025-09-12T09:06:37.093265', 'private': False, 'state': 'active', 'resources': [{'id': '370fcff5-6025-40e7-b05b-f4870e2d086d', 'package_id': 'bedf2391-65da-40b0-931c-1868f8c8f402', 'url': 'https://catalogue.saeon.ac.za/list/records/10.15493/NRF.SAIAB.20232507?search=68c2b42da71d058a420b0236&disableSidebar=false&showSearchBar=true', 'format': '', 'description': '', 'hash': '', 'position': 0, 'name': 'Bathymetry data collected from uMhlanga, January 2020', 'resource_type': None, 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-09-11T13:34:25.988072', 'last_modified': None, 'metadata_modified': '2025-09-12T09:06:37.100153', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': ''}], 'num_resources': 1, 'tags': [{'id': '2547e672-a968-4048-814b-29a682525254', 'name': 'Oceans', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Oceans'}, {'id': 'e90bd4d4-da24-418e-a5b1-f9d0cf063793', 'name': 'SGB systems', 'vocabulary_id': None, 'state': 'active', 'display_name': 'SGB systems'}, {'id': '84d64091-149a-4cd4-bf97-f828e908fe76', 'name': 'bathymetry', 'vocabulary_id': None, 'state': 'active', 'display_name': 'bathymetry'}, {'id': '903bf930-556a-402c-a784-3c57de8bc65b', 'name': 'hydrographic', 'vocabulary_id': None, 'state': 'active', 'display_name': 'hydrographic'}, {'id': '1fe9236d-3571-4fe0-9305-f1b40579e991', 'name': 'multibeam bathymetry', 'vocabulary_id': None, 'state': 'active', 'display_name': 'multibeam bathymetry'}], 'num_tags': 5, 'extras': [{'id': '63250ad4-84a8-4989-9131-5c250f5886f6', 'package_id': 'bedf2391-65da-40b0-931c-1868f8c8f402', 'key': 'contact', 'value': '[{"electronic_mail_address": "T.Wanda@saiab.nrf.ac.za", "individual_name": "Thamsanqa Wanda", "position_name": "Geologist", "role": "point_of_contact"}]', 'state': 'active'}, {'id': '82f1920d-8e48-44bd-80b4-8df443fa2c7b', 'package_id': 'bedf2391-65da-40b0-931c-1868f8c8f402', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': 'd8f0b75a-e220-4db3-8430-e2dfa187fd67', 'package_id': 'bedf2391-65da-40b0-931c-1868f8c8f402', 'key': 'dataset_reference_date', 'value': '[{"reference": "2023-01-27T16:15", "reference_date_type": 1}]', 'state': 'active'}, {'id': 'a95cd5ac-3409-482a-b907-d1b0c67df6f8', 'package_id': 'bedf2391-65da-40b0-931c-1868f8c8f402', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': 'c003e97b-73e6-45e5-aa46-20db25aee1ca', 'package_id': 'bedf2391-65da-40b0-931c-1868f8c8f402', 'key': 'doi', 'value': '10.15493/NRF.SAIAB.20232507', 'state': 'active'}, {'id': 'd11cb8ab-1c93-4cb1-a47b-89d65609af26', 'package_id': 'bedf2391-65da-40b0-931c-1868f8c8f402', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': 'b4fa66a0-0767-465b-81f0-86aa32c52e52', 'package_id': 'bedf2391-65da-40b0-931c-1868f8c8f402', 'key': 'lineage_statement', 'value': 'This dataset consists of XYZ points below the sea surface and relative to the mean sea level. This data was collected under the ACEP Geo-Benthic trials (2020) using the ACEP Geophysics and Mapping Platform.', 'state': 'active'}, {'id': '6e44ea44-1fb5-400b-aa49-9cc139887192', 'package_id': 'bedf2391-65da-40b0-931c-1868f8c8f402', 'key': 'metadata_date', 'value': '2023-01-27T16:15', 'state': 'active'}, {'id': '170e3aeb-febc-44f7-8397-c11036e3120c', 'package_id': 'bedf2391-65da-40b0-931c-1868f8c8f402', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': '4ca293e3-69a1-497c-a4be-6637ffe17ec4', 'package_id': 'bedf2391-65da-40b0-931c-1868f8c8f402', 'key': 'metadata_standard', 'value': '[{"name": null, "version": null}]', 'state': 'active'}, {'id': '4d55cbdb-4664-46d4-933a-1bb6258ea611', 'package_id': 'bedf2391-65da-40b0-931c-1868f8c8f402', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': 'f6629617-ef2c-4086-89ca-1bb9010bd1ef', 'package_id': 'bedf2391-65da-40b0-931c-1868f8c8f402', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": 2, "linkage": "http://doi.org/10.15493/NRF.SAIAB.20232507", "name": "bathymetry_data_collected_from_umhlanga_january_2020"}]', 'state': 'active'}, {'id': '402c7857-e697-4b9b-ac44-41257b0bd5f2', 'package_id': 'bedf2391-65da-40b0-931c-1868f8c8f402', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': '65c5bda0-8340-4edd-aa24-3092c38bcd50', 'package_id': 'bedf2391-65da-40b0-931c-1868f8c8f402', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "South African Institute for Aquatic Biodiversity ", "position_name": "SAIAB", "role": "owner", "website": "https://nrfsaiab.wixsite.com/gemapocean"}]', 'state': 'active'}, {'id': '1cd4ef3f-c625-4f58-a200-f8f2282af216', 'package_id': 'bedf2391-65da-40b0-931c-1868f8c8f402', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "Makhanda", "delivery_point": "Somerset Street", "postal_code": "6139"}]', 'state': 'active'}, {'id': '01f8da3b-3109-4039-bfff-1b2753196bfd', 'package_id': 'bedf2391-65da-40b0-931c-1868f8c8f402', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': 'ca3d3d7e-e3fa-4b7b-985c-3f9e4ad62038', 'package_id': 'bedf2391-65da-40b0-931c-1868f8c8f402', 'key': 'spatial', 'value': '{"type": "Polygon", "coordinates": [[[31.174365, -29.779153], [31.197984, -29.779153], [31.197984, -29.759507], [31.174365, -29.759507], [31.174365, -29.779153]]]}', 'state': 'active'}, {'id': '7c2dc530-3da3-4667-a2b2-93fc9efbef9e', 'package_id': 'bedf2391-65da-40b0-931c-1868f8c8f402', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': '3ae70811-6d1b-4f90-947c-8e928350d65e', 'package_id': 'bedf2391-65da-40b0-931c-1868f8c8f402', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "oceans"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': 'ed816ac3-0461-4c85-b09f-16b54b0ad3f3', 'name': 'bathymetry_data_collected_from_zinkwazi_november_2021', 'title': 'Bathymetry data collected from Zinkwazi, November 2021', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, '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; develops measurable indicators of success for each zone; sets achievable goals given the limited resources available for planning and management; ensures that the research findings are relevant (to both biodiversity and human stakeholders). This is a rare time-sensitive opportunity to conduct baseline surveys of the geology, benthic biodiversity (sessile and mobile species), reef-associated ichthyoplankton and mero-zooplankton and fish communities of mesophotic (40-150m) soft-coral and sponge-dominated reefs and submarine habitats located in three different management zones at initiation of management of two brand new MPAs, against which long-term monitoring data can be compared to assess the effectiveness of the MPAs in achieving their objectives. The balanced sampling design is such that it will also initiate a “natural experiment” that over time will investigate the effect of no-take zones on fish diversity and abundance, benthic community structure, and trophic complexity. This will also enable the determination of the value of the MPA for fisheries sustainability support and resilience to disturbances caused by extrinsic factors such as pollution or climate change. Additionally, this study will assess whether the zonation plan provides for representation of all reef and canyon types within each zone or if there is unbalanced coverage for certain reefs and in certain zones. This is important to assess at the initiation of the MPA, especially to ensure that the interpretation of monitoring results in future, which compare ecosystems and fish on reefs and canyons in the mesophotic zone are not flawed by natural differences from the outset due to the selection of zone boundaries. This dataset consists of XYZ points below the sea surface and relative to the mean sea level. This data was collected under the ACEP SMART ZONES MPA project (2021 – 2023) using the ACEP Geophysics and Mapping Platform.", 'license_id': None, 'type': 'dataset', 'owner_org': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-09-11T14:14:08.850568', 'metadata_modified': '2025-09-12T08:41:16.578676', 'private': False, 'state': 'active', 'resources': [{'id': 'a7c104c4-a7b7-4a0f-9ddc-3e2daf60f617', 'package_id': 'ed816ac3-0461-4c85-b09f-16b54b0ad3f3', 'url': 'https://catalogue.saeon.ac.za/list/records/10.15493/NRF.SAIAB.20232511?search=68c2b42da71d058a420b0236&disableSidebar=false&showSearchBar=true', 'format': '', 'description': '', 'hash': '', 'position': 0, 'name': 'Bathymetry data collected from Zinkwazi, November 2021', 'resource_type': None, 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-09-11T14:14:58.221011', 'last_modified': None, 'metadata_modified': '2025-09-12T08:41:16.588713', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': ''}], 'num_resources': 1, 'tags': [{'id': '2547e672-a968-4048-814b-29a682525254', 'name': 'Oceans', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Oceans'}, {'id': 'e90bd4d4-da24-418e-a5b1-f9d0cf063793', 'name': 'SGB systems', 'vocabulary_id': None, 'state': 'active', 'display_name': 'SGB systems'}, {'id': '84d64091-149a-4cd4-bf97-f828e908fe76', 'name': 'bathymetry', 'vocabulary_id': None, 'state': 'active', 'display_name': 'bathymetry'}, {'id': '903bf930-556a-402c-a784-3c57de8bc65b', 'name': 'hydrographic', 'vocabulary_id': None, 'state': 'active', 'display_name': 'hydrographic'}, {'id': '1fe9236d-3571-4fe0-9305-f1b40579e991', 'name': 'multibeam bathymetry', 'vocabulary_id': None, 'state': 'active', 'display_name': 'multibeam bathymetry'}, {'id': '4ff1fff4-deb9-4256-a9c0-f03802b2d0e7', 'name': 'reson', 'vocabulary_id': None, 'state': 'active', 'display_name': 'reson'}], 'num_tags': 6, 'extras': [{'id': '300efe28-44b1-4461-93b0-af30e1eb5816', 'package_id': 'ed816ac3-0461-4c85-b09f-16b54b0ad3f3', 'key': 'contact', 'value': '[{"electronic_mail_address": "T.Wanda@saiab.nrf.ac.za", "individual_name": "Thamsanqa Wanda", "position_name": "Geologist", "role": "point_of_contact"}]', 'state': 'active'}, {'id': 'afbc2f45-cefd-4b5e-a6a3-759aad319704', 'package_id': 'ed816ac3-0461-4c85-b09f-16b54b0ad3f3', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '7ce6e160-2366-4983-ad0a-811330432a09', 'package_id': 'ed816ac3-0461-4c85-b09f-16b54b0ad3f3', 'key': 'dataset_reference_date', 'value': '[{"reference": "2023-01-27T00:00", "reference_date_type": 1}]', 'state': 'active'}, {'id': '0ff8760f-2480-45f8-b67e-4cde696b29ac', 'package_id': 'ed816ac3-0461-4c85-b09f-16b54b0ad3f3', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': '80b45277-0d76-4210-b050-4cf3b8c8e5b9', 'package_id': 'ed816ac3-0461-4c85-b09f-16b54b0ad3f3', 'key': 'doi', 'value': '10.15493/NRF.SAIAB.20232511', 'state': 'active'}, {'id': '4c3a3107-88c0-47f6-a2cd-57244dcd06a2', 'package_id': 'ed816ac3-0461-4c85-b09f-16b54b0ad3f3', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': 'a40c5add-1ecf-435e-996f-fb7bbfd436fe', 'package_id': 'ed816ac3-0461-4c85-b09f-16b54b0ad3f3', 'key': 'lineage_statement', 'value': '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.', 'state': 'active'}, {'id': 'ea84a598-87f8-4fa7-a38d-2ad1f0b32d75', 'package_id': 'ed816ac3-0461-4c85-b09f-16b54b0ad3f3', 'key': 'metadata_date', 'value': '2023-01-27T00:00', 'state': 'active'}, {'id': 'd3bb0feb-b16a-4f69-98a5-61f51fa633b2', 'package_id': 'ed816ac3-0461-4c85-b09f-16b54b0ad3f3', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': '0236679e-19a3-45b8-84fc-1283160f3db8', 'package_id': 'ed816ac3-0461-4c85-b09f-16b54b0ad3f3', 'key': 'metadata_standard', 'value': '[{"name": null, "version": null}]', 'state': 'active'}, {'id': 'e3aabca4-70c1-47e6-852d-76c74eb75629', 'package_id': 'ed816ac3-0461-4c85-b09f-16b54b0ad3f3', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': '4b4841d0-3cb4-4fb1-8b83-244f151d941d', 'package_id': 'ed816ac3-0461-4c85-b09f-16b54b0ad3f3', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": 2, "linkage": "http://doi.org/10.15493/NRF.SAIAB.20232511", "name": "bathymetry_data_collected_from_zinkwazi_november_2021"}]', 'state': 'active'}, {'id': '086cca46-01eb-4d3a-b634-e45d74a6a84e', 'package_id': 'ed816ac3-0461-4c85-b09f-16b54b0ad3f3', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': '82057b28-2c63-495e-b88a-4365cdd36075', 'package_id': 'ed816ac3-0461-4c85-b09f-16b54b0ad3f3', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "South African Institute for Aquatic Biodiversity ", "position_name": "SAIAB", "role": "owner", "website": "https://nrfsaiab.wixsite.com/gemapocean"}]', 'state': 'active'}, {'id': 'ce64388b-1c05-4373-b8c3-69d47ef6b206', 'package_id': 'ed816ac3-0461-4c85-b09f-16b54b0ad3f3', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "Makhanda", "delivery_point": "Somerset Street", "postal_code": "6139"}]', 'state': 'active'}, {'id': 'b5fe6eb0-3154-4c39-8520-f60afa28a038', 'package_id': 'ed816ac3-0461-4c85-b09f-16b54b0ad3f3', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '5a9e4f60-2bf7-45a3-8d34-a2ceeacca721', 'package_id': 'ed816ac3-0461-4c85-b09f-16b54b0ad3f3', 'key': 'spatial', 'value': '{"type": "Polygon", "coordinates": [[[31.52826, -29.426584], [31.577445, -29.426584], [31.577445, -29.372258], [31.52826, -29.372258], [31.52826, -29.426584]]]}', 'state': 'active'}, {'id': '1f7e1b22-a4ac-4689-a15f-f28ddc9c7d17', 'package_id': 'ed816ac3-0461-4c85-b09f-16b54b0ad3f3', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': 'bdb4cd84-6f52-416c-9833-4ad319c842e7', 'package_id': 'ed816ac3-0461-4c85-b09f-16b54b0ad3f3', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "oceans"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': 'bdc7fb1f-807d-41e3-893e-30a2f6f52f7c', 'name': 'bathymetry_data_for_seascapes_december_2022', 'title': 'Bathymetry data for Seascapes, December 2022', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, 'notes': "This dataset forms part of the the South African Institute for Aquatic Biodiversity (SAIAB)'s collection of Bathymetry data for the African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA. This hydrographic survey covers 18 square km and is part of the SeaScapes 2022 project. The dataset consists of locations below the surface of the water. Habitat degradation and loss of structural complexity are major threats to coastal ecosystems, with impacts associated with climate change placing additional pressure on these valuable ecosystems. Seascape ecology (which focuses on mosaics of spatially discrete and recognisable patches of habitat) is an emerging science that strives to understand spatial pattern-process linkages in marine environments. Understanding multi-scale linkages between seascape structure, function and change can better support sustainable ocean development, biodiversity protection and help to understand the consequences of human activity. A multi-disciplinary approach will be undertaken within shallow coastal waters of the south coast of South Africa in two different coastal seascapes: 1) Swartkops Estuary to Maitlands Estuary (incorporating the lower reaches of the Swartkops Estuary and nearshore from 1-30 m) and 2) Aston Bay to Oyster Bay (incorporating the lower reaches of the Kromme Estuary and nearshore from 1-30 m). This project aims to 1) map and model seascape spatial structure through the collection of high-resolution georeferenced imagery; 2) study the impact of climate change in seascapes (seascape change), with a focus on macrophytes (seagrass and seaweed) and associated organisms as well as the role that macrophytes may have in mitigating the effects of ocean acidification; and 3) assess connectivity of mobile organisms (fish) within seascapes and between shallow nursery seascapes (<7 m) and deeper adult habitat (reef deeper than 7 m). These data are combined from MB11_2022 and MB12_2022 surveys. This dataset is used to map, delineate and classify the seabed for the purpose of classifying habitats, ecosystems, understanding spatial pattern-process linkages in marine environments (biological and geological).", 'license_id': None, 'type': 'dataset', 'owner_org': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-09-11T12:56:09.047921', 'metadata_modified': '2025-09-12T09:09:24.142438', 'private': False, 'state': 'active', 'resources': [{'id': '32dcb012-58c4-48fe-a685-8be1d85582ce', 'package_id': 'bdc7fb1f-807d-41e3-893e-30a2f6f52f7c', 'url': 'https://catalogue.saeon.ac.za/list/records/10.15493/NRF.SAIAB.20232501?search=68c2b42da71d058a420b0236&disableSidebar=false&showSearchBar=true', 'format': '', 'description': '', 'hash': '', 'position': 0, 'name': 'Bathymetry data for Seascapes, December 2022', 'resource_type': 'other', 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-09-12T09:09:24.164942', 'last_modified': None, 'metadata_modified': '2025-09-12T09:09:24.156883', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': '', 'upload_mode': 'single'}], 'num_resources': 1, 'tags': [{'id': '2547e672-a968-4048-814b-29a682525254', 'name': 'Oceans', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Oceans'}], 'num_tags': 1, 'extras': [{'id': 'ae4753b9-4720-4e10-8c47-eec0d3658501', 'package_id': 'bdc7fb1f-807d-41e3-893e-30a2f6f52f7c', 'key': 'contact', 'value': '[{"electronic_mail_address": "T.Wanda@saiab.nrf.ac.za", "individual_name": "Thamsanqa Wanda", "position_name": "Geologist", "role": "point_of_contact"}]', 'state': 'active'}, {'id': '6b798cd1-96ca-40aa-a5f7-b8c995ad1aca', 'package_id': 'bdc7fb1f-807d-41e3-893e-30a2f6f52f7c', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '6dab6516-2080-433c-9f54-2dd3c94e8a12', 'package_id': 'bdc7fb1f-807d-41e3-893e-30a2f6f52f7c', 'key': 'dataset_reference_date', 'value': '[{"reference": "2023-01-25T14:36", "reference_date_type": 2}]', 'state': 'active'}, {'id': '6294cfe2-8f09-49dd-a332-1d178daa6b30', 'package_id': 'bdc7fb1f-807d-41e3-893e-30a2f6f52f7c', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': '03049218-82ad-474a-9e3b-28b4b58516fc', 'package_id': 'bdc7fb1f-807d-41e3-893e-30a2f6f52f7c', 'key': 'doi', 'value': '10.15493/NRF.SAIAB.20232501', 'state': 'active'}, {'id': '4ab78217-2932-4891-9a2a-f708c2e417e3', 'package_id': 'bdc7fb1f-807d-41e3-893e-30a2f6f52f7c', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': '765330f5-34c2-4103-89a8-1cb7ac00cbf6', 'package_id': 'bdc7fb1f-807d-41e3-893e-30a2f6f52f7c', 'key': 'lineage_statement', 'value': '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. These data are combined from MB11_2022 and MB12_2022 surveys. This dataset is used to map, delineate and classify the seabed for the purpose of classifying habitats, ecosystems, understanding spatial pattern-process linkages in marine environments (biological and geological).', 'state': 'active'}, {'id': 'b5b477f7-4420-4c64-8056-7f083ab3becd', 'package_id': 'bdc7fb1f-807d-41e3-893e-30a2f6f52f7c', 'key': 'metadata_date', 'value': '2023-01-25T13:26', 'state': 'active'}, {'id': '39143071-a96e-4f68-96b0-67f40260b8ab', 'package_id': 'bdc7fb1f-807d-41e3-893e-30a2f6f52f7c', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': '5b47c657-cfaa-4e52-97bd-caddfa35f0a2', 'package_id': 'bdc7fb1f-807d-41e3-893e-30a2f6f52f7c', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': '1bf2ada2-c36c-4e6a-88b4-a7c756252afa', 'package_id': 'bdc7fb1f-807d-41e3-893e-30a2f6f52f7c', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": 2, "linkage": "http://doi.org/ 10.15493/NRF.SAIAB.20232501 ", "name": "bathymetry_data_for_seascapes_december_2022"}]', 'state': 'active'}, {'id': 'bc5c5560-86d6-4bde-a72d-41cd3cd4e2d9', 'package_id': 'bdc7fb1f-807d-41e3-893e-30a2f6f52f7c', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': 'f417dae0-123c-44b9-8bfb-3af4b1d99cd1', 'package_id': 'bdc7fb1f-807d-41e3-893e-30a2f6f52f7c', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "South African Institute for Aquatic Biodiversity ", "position_name": "SAIAB", "role": "owner", "website": ""}]', 'state': 'active'}, {'id': 'e9ffcefa-a01f-408d-834d-9d84e9bbfe96', 'package_id': 'bdc7fb1f-807d-41e3-893e-30a2f6f52f7c', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "Makhanda", "delivery_point": "Somerset Street", "postal_code": "6139"}]', 'state': 'active'}, {'id': '2fac7af1-4a43-46c8-ae85-57e8333f3085', 'package_id': 'bdc7fb1f-807d-41e3-893e-30a2f6f52f7c', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '04698c47-3092-47e6-8ec8-1ced9a522ac5', 'package_id': 'bdc7fb1f-807d-41e3-893e-30a2f6f52f7c', 'key': 'spatial', 'value': '{"type": "Polygon", "coordinates": [[[24.843889, -34.191235], [24.91351, -34.191235], [24.91351, -34.144122], [24.843889, -34.144122], [24.843889, -34.191235]]]}', 'state': 'active'}, {'id': 'b881f877-38cf-4922-9a9e-fc4c6242b24c', 'package_id': 'bdc7fb1f-807d-41e3-893e-30a2f6f52f7c', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': 'f13fb1e3-a9a5-4c2e-8b02-f3b1e587f22b', 'package_id': 'bdc7fb1f-807d-41e3-893e-30a2f6f52f7c', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "oceans"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'name': 'bush_encroachment_and_land_cover_change', 'title': 'Bush Encroachment and Land Cover Change', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, 'notes': 'The dataset shows landcover change between 1990 (lcov_1990) and 2013 (lcov_2013). Attribute information includes ; pagenumber, mapcode12 (vegetation type), dn_new (aboveground carbon values-DMt/ha), lcov_1990, lcov_2013, parent1990 (general landcover name), parent2013, old_new (landcover change), parent_old_new (landcover change by name), dn_ave_1990 (average for each landcover in 1990), dn_ave_2013, dn_ave_change (average carbon change between 1990 and 2013); and boolean information for the following: bush encroachment, grass encroachment, perturbation, degradation, restoration, habitat loss. Landcover data entries were obtained from Landsat satellite images used to generate landcover information into 72 landcover types; vegetation type is collected by SANBI; Aboveground woody biomass (carbon values) collected from high resolution data in the Savannah (CSIR- DMt/ha at 100m resolution) or from lower resolution data for the rest of the country (1km).', 'license_id': None, 'type': 'dataset', 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-10-16T11:53:36.431154', 'metadata_modified': '2025-10-16T11:56:14.253772', 'private': False, 'state': 'active', 'resources': [{'id': 'ae0b8354-0344-4a6c-a6ec-2281da96ef1b', 'package_id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'url': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000099', 'format': 'GEOMAP', 'description': '', 'hash': '', 'position': 0, 'name': 'Bush Encroachment and Land Cover Change', 'resource_type': 'other', 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-10-16T11:56:03.044528', 'last_modified': None, 'metadata_modified': '2025-10-16T11:56:03.012500', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': '', 'upload_mode': 'single'}], 'num_resources': 1, 'tags': [{'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Imagery-Basemaps-Earth Cover'}, {'id': 'd70e9ece-6f66-425c-b968-27d8ca0e9b6f', 'name': 'aboveground woody biomass', 'vocabulary_id': None, 'state': 'active', 'display_name': 'aboveground woody biomass'}, {'id': '28f6b44a-fc87-4a0f-99a9-0fe35f0778f7', 'name': 'bush encroachment', 'vocabulary_id': None, 'state': 'active', 'display_name': 'bush encroachment'}, {'id': 'e36648ca-0354-47e6-82bc-4f6ca1e9a481', 'name': 'degradation', 'vocabulary_id': None, 'state': 'active', 'display_name': 'degradation'}, {'id': '64d2ab52-5e98-4ee4-b682-f5ed25153868', 'name': 'grass encroachment', 'vocabulary_id': None, 'state': 'active', 'display_name': 'grass encroachment'}, {'id': '4f029253-c65b-4fcd-a869-8275ae9723d6', 'name': 'habitat loss', 'vocabulary_id': None, 'state': 'active', 'display_name': 'habitat loss'}, {'id': '54b45451-0abb-47f6-81c5-47d06954721b', 'name': 'landcover', 'vocabulary_id': None, 'state': 'active', 'display_name': 'landcover'}, {'id': '4993162e-83c9-4d6c-9ed2-4264eb57550c', 'name': 'perturbation', 'vocabulary_id': None, 'state': 'active', 'display_name': 'perturbation'}, {'id': 'eba4a3e7-e03c-45d7-b834-6d5f5b1b503a', 'name': 'restoration', 'vocabulary_id': None, 'state': 'active', 'display_name': 'restoration'}, {'id': 'ff1a6433-60ae-47f9-be2c-4fe1b6a51655', 'name': 'vegetation type', 'vocabulary_id': None, 'state': 'active', 'display_name': 'vegetation type'}], 'num_tags': 10, 'extras': [{'id': '7747a4f9-d876-4f26-a9b2-ed844f683961', 'package_id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'key': 'contact', 'value': '[{"electronic_mail_address": "curation@saeon.nrf.ac.za", "individual_name": "Data Curation", "position_name": "", "role": "point_of_contact"}]', 'state': 'active'}, {'id': '0c6b25e8-e9fa-4b79-a2fd-c184f01a2933', 'package_id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '241a8453-1a07-4a18-a55c-48f020db053b', 'package_id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'key': 'dataset_reference_date', 'value': '[{"reference": "2018-01-01T00:00", "reference_date_type": 2}]', 'state': 'active'}, {'id': 'e7b9d4ff-9442-4a6c-a590-fdcf59f713d1', 'package_id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': '3a8f641b-556f-4743-a1d9-2d1f5786fb7e', 'package_id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'key': 'doi', 'value': '10.15493/BEA.DATA.10000099', 'state': 'active'}, {'id': 'e720d09f-52d3-487d-b693-bc8567c5c296', 'package_id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': '859bc96b-f1ef-463f-8666-08de012f7b9c', 'package_id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'key': 'lineage_statement', 'value': 'Landcover data entries were obtained from Landsat satellite images used to generate landcover information into 72 landcover types; vegetation type is collected by SANBI; Aboveground woody biomass (carbon values) collected from high resolution data in the Savannah (CSIR- DMt/ha at 100m resolution) or from lower resolution data for the rest of the country (1km).', 'state': 'active'}, {'id': '1ba5eaa2-8a43-49ea-976a-e0ce34c9aa3f', 'package_id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'key': 'metadata_date', 'value': '2023-06-23T00:00', 'state': 'active'}, {'id': '35fb2c32-dafb-4a8b-8627-efe658458a0a', 'package_id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': '479ac281-60ad-426d-88cd-893b94f8a05f', 'package_id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'key': 'metadata_standard', 'value': '[{"name": "SANS 1878-1:2011", "version": "1.1"}]', 'state': 'active'}, {'id': 'b577a415-0f51-4b5d-a81e-31a180c765f1', 'package_id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': '2e9a0857-f66c-4ed8-8fa3-65441669246f', 'package_id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": "", "linkage": "https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000099", "name": "Bush Encroachment and Land Cover Change"}]', 'state': 'active'}, {'id': 'd7e478ac-c7a2-40fa-a423-d63d532ca330', 'package_id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': '1e3031b0-108b-4606-a32f-0e4c1eae9779', 'package_id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "South African Environmental Observation Network", "position_name": "Organisation", "role": "resource_provider", "website": "catalogue.saeon.ac.za"}]', 'state': 'active'}, {'id': '5a08fc7a-573d-47de-a17a-9504e0818939', 'package_id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "", "delivery_point": "", "postal_code": ""}]', 'state': 'active'}, {'id': '7cfb98b3-fd8e-475b-9d2d-6e4b6efd8321', 'package_id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '53102922-d407-44ad-b9c6-726d4d9734d2', 'package_id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'key': 'spatial', 'value': '{"type": "Polygon", "coordinates": [[[16.48, -34.8], [32.9, -34.8], [32.9, -22.1], [16.48, -22.1], [16.48, -34.8]]]}', 'state': 'active'}, {'id': 'f8659a29-0151-49f5-98ed-8fc30c250364', 'package_id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': '8520dbcb-b1d0-4bf1-8acd-4f64aae001dd', 'package_id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "imageryBaseMapsEarthCover"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': '84eba355-8f57-484b-b365-b008e6769b37', 'name': 'climatically_optimum_growth_areas_litchis_composite_of_all_criteria', 'title': 'Climatically Optimum Growth Areas Litchis Composite Of All Criteria', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, 'notes': 'Litchis, Litchi chinensis, are indigenous to subtropical southern China and were first imported to South Africa from Mauritius in the 1870s (ARC, 2005). Of the 7 000 tons of litchis produced annually in South Africa, with a gross value exceeding R25 million, about 60 percent come from Mpumalanga, 38 percent from Limpopo and 2 percent from KwaZulu-Natal (Statistics SA, 2002; NDA, 2005).', 'license_id': None, 'type': 'dataset', 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-10-17T10:52:41.204356', 'metadata_modified': '2025-10-17T11:03:29.674696', 'private': False, 'state': 'active', 'resources': [{'id': '0d6d7010-b440-48b4-b1f1-23f9e48ae3e9', 'package_id': '84eba355-8f57-484b-b365-b008e6769b37', 'url': 'https://repository.saeon.ac.za/index.php/s/3E4cCsAMaj92xjw?opendetails=', 'format': '', 'description': '', 'hash': '', 'position': 0, 'name': 'Climatically Optimum Growth Areas Litchis Composite Of All Criteria', 'resource_type': 'other', 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-10-17T10:57:28.000498', 'last_modified': None, 'metadata_modified': '2025-10-17T10:57:27.994148', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': '', 'upload_mode': 'single'}], 'num_resources': 1, 'tags': [{'id': 'f1a1894f-6ab7-4e6c-8091-05cbab5811a1', 'name': 'Biophysical variables', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Biophysical variables'}, {'id': 'be02ede8-4f81-48f2-a871-0dd690bc3d8d', 'name': 'Commercial cropping system', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Commercial cropping system'}, {'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Imagery-Basemaps-Earth Cover'}, {'id': '246aee2a-e770-40dc-8bcd-223b347a9187', 'name': 'Optimum growth area', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Optimum growth area'}, {'id': 'e9c2ba74-5eec-405f-bf77-5b0483eae3bf', 'name': 'agriculture', 'vocabulary_id': None, 'state': 'active', 'display_name': 'agriculture'}, {'id': '270aa94b-1ca2-41e2-a735-944a362034d0', 'name': 'growth areas', 'vocabulary_id': None, 'state': 'active', 'display_name': 'growth areas'}, {'id': 'd3708a75-1f7c-44e4-a373-5b1fe3e8fc43', 'name': 'litchis', 'vocabulary_id': None, 'state': 'active', 'display_name': 'litchis'}, {'id': '0d49853e-a68d-4627-a644-58f7c8ad8e96', 'name': 'maximum temperature', 'vocabulary_id': None, 'state': 'active', 'display_name': 'maximum temperature'}, {'id': '716d7246-9aa8-458a-ae7e-a0a174c2dbb8', 'name': 'relative humidity', 'vocabulary_id': None, 'state': 'active', 'display_name': 'relative humidity'}], 'num_tags': 9, 'extras': [{'id': '20764191-b9c3-462d-be36-91c334214a35', 'package_id': '84eba355-8f57-484b-b365-b008e6769b37', 'key': 'contact', 'value': '[{"electronic_mail_address": "curation@saeon.nrf.ac.za", "individual_name": "SAEON", "position_name": "", "role": "point_of_contact"}]', 'state': 'active'}, {'id': '1289b830-b7e8-474a-8514-ae618eaba2e6', 'package_id': '84eba355-8f57-484b-b365-b008e6769b37', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '0f150921-cb33-4deb-b6d0-af612cf783b0', 'package_id': '84eba355-8f57-484b-b365-b008e6769b37', 'key': 'dataset_reference_date', 'value': '[{"reference": "2007-01-01T00:00", "reference_date_type": 1}]', 'state': 'active'}, {'id': 'a929a33f-46af-4fcf-b99f-ab33d645749a', 'package_id': '84eba355-8f57-484b-b365-b008e6769b37', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': 'eeb9d1ed-0abd-473b-adf7-a3be172790ff', 'package_id': '84eba355-8f57-484b-b365-b008e6769b37', 'key': 'doi', 'value': '10.15493/SARVA.BEEH.10000104', 'state': 'active'}, {'id': '9944ff6f-dbfd-4166-baba-c0c4d481b447', 'package_id': '84eba355-8f57-484b-b365-b008e6769b37', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': 'ff98b58f-e6fa-4ce9-b5b3-0cac1ccdb6c6', 'package_id': '84eba355-8f57-484b-b365-b008e6769b37', 'key': 'lineage_statement', 'value': 'Litchis, Litchi chinensis, are indigenous to subtropical southern China and were first imported to South Africa from Mauritius in the 1870s (ARC, 2005). Of the 7 000 tons of litchis produced annually in South Africa, with a gross value exceeding R25 million, about 60 percent come from Mpumalanga, 38 percent from Limpopo and 2 percent from KwaZulu-Natal (Statistics SA, 2002; NDA, 2005).', 'state': 'active'}, {'id': '8c9c85c0-0cb5-4482-a714-25c090ef1cb3', 'package_id': '84eba355-8f57-484b-b365-b008e6769b37', 'key': 'metadata_date', 'value': '2025-10-17T00:00', 'state': 'active'}, {'id': '176833ff-bf1e-46ed-ac11-d6babb6bc971', 'package_id': '84eba355-8f57-484b-b365-b008e6769b37', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': 'b3d43e4f-932c-43a5-8978-8df036858363', 'package_id': '84eba355-8f57-484b-b365-b008e6769b37', 'key': 'metadata_standard', 'value': '[{"name": "SANS 1878-1:2011", "version": "1.1"}]', 'state': 'active'}, {'id': 'e56d534d-daee-4d04-a13e-9fd439022135', 'package_id': '84eba355-8f57-484b-b365-b008e6769b37', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': '3f9b0d6c-1197-41e4-bb77-08dbb7070eda', 'package_id': '84eba355-8f57-484b-b365-b008e6769b37', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": 2, "linkage": "https://catalogue.saeon.ac.za/records/10.15493/SARVA.BEEH.10000104", "name": "Climatically Optimum Growth Areas Litchis Composite Of All Criteria"}]', 'state': 'active'}, {'id': '8cae5f92-3ec7-4cc3-a75b-c603d7af21d0', 'package_id': '84eba355-8f57-484b-b365-b008e6769b37', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': '7f3036b8-b785-40ce-b357-a6dd43242513', 'package_id': '84eba355-8f57-484b-b365-b008e6769b37', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "R.E. Schulze & M. Maharaj", "position_name": "University of KwaZulu-Natal", "role": "originator", "website": ""}]', 'state': 'active'}, {'id': '316cbd69-d9a7-406f-ae31-7f2fddd6362d', 'package_id': '84eba355-8f57-484b-b365-b008e6769b37', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "", "delivery_point": "", "postal_code": ""}]', 'state': 'active'}, {'id': '90dd3e76-8be3-467a-a115-1ecfb281d113', 'package_id': '84eba355-8f57-484b-b365-b008e6769b37', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '300e29ed-1be8-4599-977d-e7fee902cb6f', 'package_id': '84eba355-8f57-484b-b365-b008e6769b37', 'key': 'spatial', 'value': '{"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'}, {'id': '2c7c7ab8-fa14-4dc5-a3c2-46591306c27f', 'package_id': '84eba355-8f57-484b-b365-b008e6769b37', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': '03c47e7b-f034-4ba0-8c8f-b08e2b7a85c7', 'package_id': '84eba355-8f57-484b-b365-b008e6769b37', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "imageryBaseMapsEarthCover"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'name': 'climatically_optimum_growth_areas_papaya_composite_of_all_criteria', 'title': 'Climatically Optimum Growth Areas Papaya Composite Of All Criteria', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, '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.', 'license_id': None, 'type': 'dataset', 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-10-17T11:08:39.531145', 'metadata_modified': '2025-10-17T11:11:28.922543', 'private': False, 'state': 'active', 'resources': [{'id': '7e81d0b1-3193-41ab-bc15-c5cc65df8b56', 'package_id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'url': 'https://repository.saeon.ac.za/index.php/s/2yTF8TY7xDMA8fH?opendetails=', 'format': '', 'description': '', 'hash': '', 'position': 0, 'name': 'Climatically Optimum Growth Areas Papaya Composite Of All Criteria', 'resource_type': 'other', 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-10-17T11:09:12.315516', 'last_modified': None, 'metadata_modified': '2025-10-17T11:09:12.305341', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': '', 'upload_mode': 'single'}], 'num_resources': 1, 'tags': [{'id': 'ab20e5e0-5e6e-4d58-9098-7ad4dd7493c5', 'name': 'Commercial Crop Systems', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Commercial Crop Systems'}, {'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Imagery-Basemaps-Earth Cover'}, {'id': '246aee2a-e770-40dc-8bcd-223b347a9187', 'name': 'Optimum growth area', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Optimum growth area'}, {'id': 'e9c2ba74-5eec-405f-bf77-5b0483eae3bf', 'name': 'agriculture', 'vocabulary_id': None, 'state': 'active', 'display_name': 'agriculture'}, {'id': 'e5c271e2-a2da-4796-b3d8-d439961f384c', 'name': 'carica papaya', 'vocabulary_id': None, 'state': 'active', 'display_name': 'carica papaya'}, {'id': 'b833fb31-eb1b-4cbc-b682-8cebe4a086cc', 'name': 'daily average temperature', 'vocabulary_id': None, 'state': 'active', 'display_name': 'daily average temperature'}, {'id': 'e99ee17d-7f26-4071-b179-69fc0e06aa11', 'name': 'dry season', 'vocabulary_id': None, 'state': 'active', 'display_name': 'dry season'}, {'id': '270aa94b-1ca2-41e2-a735-944a362034d0', 'name': 'growth areas', 'vocabulary_id': None, 'state': 'active', 'display_name': 'growth areas'}, {'id': '4e602a4a-0a23-427f-ad9d-d1df6a5811ac', 'name': 'irrigation', 'vocabulary_id': None, 'state': 'active', 'display_name': 'irrigation'}, {'id': 'f0fff86a-9c07-421c-a298-f233bfc0fa11', 'name': 'papaya', 'vocabulary_id': None, 'state': 'active', 'display_name': 'papaya'}, {'id': '9f1ac637-b5cc-4569-b94f-23fdc7e64d12', 'name': 'rainy season', 'vocabulary_id': None, 'state': 'active', 'display_name': 'rainy season'}], 'num_tags': 11, 'extras': [{'id': '40bd5db1-16cb-4a57-83c3-0a2cb038e3e5', 'package_id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'key': 'contact', 'value': '[{"electronic_mail_address": "curation@saeon.nrf.ac.za", "individual_name": "SAEON", "position_name": "", "role": "point_of_contact"}]', 'state': 'active'}, {'id': 'c03e4bcf-2031-41eb-a91c-07c87141f6d5', 'package_id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': 'ef342a9b-af06-47af-af94-605b9d05d2ce', 'package_id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'key': 'dataset_reference_date', 'value': '[{"reference": "2007-01-01T00:00", "reference_date_type": 1}]', 'state': 'active'}, {'id': 'd818a8cb-1e29-4381-a480-a0baa02bb491', 'package_id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': '35826510-eebe-440a-8d25-fbc5e76d4c1f', 'package_id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'key': 'doi', 'value': '10.15493/SARVA.BEEH.10000179', 'state': 'active'}, {'id': '3cc59a54-f291-430a-897b-0fbf0b83b3ba', 'package_id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': '3ff53a0a-965a-4582-a3b2-c0296c5f3891', 'package_id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'key': 'lineage_statement', 'value': '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.', 'state': 'active'}, {'id': 'adf042b1-aae7-4cf4-aa5c-b2bd5b3a7340', 'package_id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'key': 'metadata_date', 'value': '2025-10-17T00:00', 'state': 'active'}, {'id': 'f4c5e404-3e15-4fab-8b9f-9df4e217a994', 'package_id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': '7b8c1b36-0276-4322-974c-f65b21d2c7f5', 'package_id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'key': 'metadata_standard', 'value': '[{"name": null, "version": null}]', 'state': 'active'}, {'id': '48df595d-8699-404c-809a-61994bc79ba2', 'package_id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': 'e0b9dd93-690f-432c-8392-1dd63bc496a6', 'package_id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'key': 'online_resource', 'value': '[{"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"}]', 'state': 'active'}, {'id': 'b80587ec-dfb3-41f7-bdf3-db6955f9fa0c', 'package_id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': '3f17d6ef-923b-4c1d-8f27-e552baa78c72', 'package_id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "R.E. Schulze & M. Maharaj", "position_name": "University of KwaZulu-Natal", "role": "originator", "website": ""}]', 'state': 'active'}, {'id': '852cc5a2-4379-4fc3-a638-5959680fa0c4', 'package_id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "", "delivery_point": "", "postal_code": ""}]', 'state': 'active'}, {'id': 'cba66b4d-2419-453a-b132-b0a826280167', 'package_id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': 'f11724b3-db82-48a5-8660-879520e5d03b', 'package_id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'key': 'spatial', 'value': '{"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'}, {'id': 'c88254b0-f06d-4f81-9458-f1f70be84af0', 'package_id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': '9243b257-bfdf-487b-b4f9-411c12672736', 'package_id': '7d576f1f-8889-4cff-95b8-ef058d65f75f', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "imageryBaseMapsEarthCover"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'name': 'climatically_optimum_growth_areas-_passion_fruit_composite_of_all_criteria', 'title': 'Climatically Optimum Growth Areas (Passion Fruit) Composite Of All Criteria', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, '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. ', 'license_id': None, 'type': 'dataset', 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-10-17T10:04:49.448189', 'metadata_modified': '2025-10-17T10:07:55.203305', 'private': False, 'state': 'active', 'resources': [{'id': '9d64a80d-8520-4035-b2c0-64b3a5308189', 'package_id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'url': 'https://repository.saeon.ac.za/index.php/s/KDwnyqAwyrwkwrM?opendetails=', 'format': '', 'description': '', 'hash': '', 'position': 0, 'name': 'Climatically Optimum Growth Areas (Passion Fruit) Composite Of All Criteria', 'resource_type': 'other', 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-10-17T10:05:36.992639', 'last_modified': None, 'metadata_modified': '2025-10-17T10:05:36.987063', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': '', 'upload_mode': 'single'}], 'num_resources': 1, 'tags': [{'id': 'ab20e5e0-5e6e-4d58-9098-7ad4dd7493c5', 'name': 'Commercial Crop Systems', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Commercial Crop Systems'}, {'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Imagery-Basemaps-Earth Cover'}, {'id': '246aee2a-e770-40dc-8bcd-223b347a9187', 'name': 'Optimum growth area', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Optimum growth area'}, {'id': 'e9c2ba74-5eec-405f-bf77-5b0483eae3bf', 'name': 'agriculture', 'vocabulary_id': None, 'state': 'active', 'display_name': 'agriculture'}, {'id': '8db5aa5a-71f7-4e83-9c78-4c06e6a4aa11', 'name': 'frost', 'vocabulary_id': None, 'state': 'active', 'display_name': 'frost'}, {'id': 'fc932820-1bd3-405f-b791-07055e7210be', 'name': 'growing season', 'vocabulary_id': None, 'state': 'active', 'display_name': 'growing season'}, {'id': '7e44e7b0-91e0-498f-b2ef-b7a5d8db9859', 'name': 'mean annual precipitation', 'vocabulary_id': None, 'state': 'active', 'display_name': 'mean annual precipitation'}, {'id': '7a406d31-f5d0-4767-891d-0d651b52f80f', 'name': 'passiflora edulis', 'vocabulary_id': None, 'state': 'active', 'display_name': 'passiflora edulis'}, {'id': '0660e316-6de2-46e6-9b3e-1c2ae0bc43af', 'name': 'passion fruit', 'vocabulary_id': None, 'state': 'active', 'display_name': 'passion fruit'}, {'id': '3952e971-20d2-4356-910e-3e5aca562b6c', 'name': 'soil moisture', 'vocabulary_id': None, 'state': 'active', 'display_name': 'soil moisture'}], 'num_tags': 10, 'extras': [{'id': '36524199-1b87-43b7-ab30-6a91af36a25b', 'package_id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'key': 'contact', 'value': '[{"electronic_mail_address": "curation@saeon.nrf.ac.za", "individual_name": "SAEON", "position_name": "", "role": "point_of_contact"}]', 'state': 'active'}, {'id': '4e225434-81d0-46db-b961-aaa52c110403', 'package_id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '4be38bf5-1156-46ea-b7c3-35dec297d622', 'package_id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'key': 'dataset_reference_date', 'value': '[{"reference": "2007-01-01T00:00", "reference_date_type": 1}]', 'state': 'active'}, {'id': 'cc686dee-acb6-4d03-8947-c1aff632c36b', 'package_id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': '8f990872-dabd-481b-b095-d3058d0b0d80', 'package_id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'key': 'doi', 'value': '10.15493/SARVA.BEEH.10000186', 'state': 'active'}, {'id': '1540c67b-9adf-44c2-b381-576dd6a83e82', 'package_id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': '6a6a9f15-ff40-4909-a5de-aa8e9da07c37', 'package_id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'key': 'lineage_statement', 'value': ' 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.', 'state': 'active'}, {'id': '8906e4a8-8008-4ce3-87ab-d2692d5fbc71', 'package_id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'key': 'metadata_date', 'value': '2025-10-17T00:00', 'state': 'active'}, {'id': 'c00cb5fb-5fc0-4223-a5ea-08e06e9b1ec0', 'package_id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': 'ac7f86bb-6760-45dc-92ad-ec6e7e89ef0d', 'package_id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'key': 'metadata_standard', 'value': '[{"name": null, "version": null}]', 'state': 'active'}, {'id': '8b4e806e-6a16-430b-8e81-dac6e7134bcf', 'package_id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': '31fcf6fe-38d3-431b-a974-ac68805ecd7f', 'package_id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'key': 'online_resource', 'value': '[{"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"}]', 'state': 'active'}, {'id': '86ac4cea-1b87-482f-bc19-c1cb43906c12', 'package_id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': '5093c147-3ac0-447c-8e35-97e1f329dcfb', 'package_id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "R.E. Schulze & M. Maharaj", "position_name": "University of KwaZulu-Natal", "role": "originator", "website": ""}]', 'state': 'active'}, {'id': '1977741e-27f4-4956-8b3f-d817123ddf17', 'package_id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "", "delivery_point": "", "postal_code": ""}]', 'state': 'active'}, {'id': '984ac4f0-5395-4026-96f7-0fbc24420050', 'package_id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': 'bf1b0b0b-8604-45f6-9699-7f150b311084', 'package_id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'key': 'spatial', 'value': '{"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'}, {'id': '5f133632-16ff-4be3-9f26-d2bdfd0b7522', 'package_id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': 'bcb66e12-961a-41e4-abb6-ae49ea824a5f', 'package_id': 'c4572749-eea1-477c-9288-cd523ceec03a', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "imageryBaseMapsEarthCover"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': '9eacac9c-41d1-4a96-8f89-899790ceddcc', 'name': 'climatically_suitable_growth_areas_for_eucalyptus_badjensis', 'title': 'Climatically Suitable Growth Areas for Eucalyptus badjensis', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, 'notes': 'Eucalyptus badjensis, or the commonly named Badger Gum, is a medium to fast growing tall and low maintenance tree which can withstand low to moderate soil moisture (Australia plants, 2004). This cool climate species grows optimally at MATs ranging from 14 - 17 degree Celsius and MAPs > 725 mm (Kunz, 2004).', 'license_id': None, 'type': 'dataset', 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-10-17T09:56:44.152758', 'metadata_modified': '2025-10-17T09:59:18.993025', 'private': False, 'state': 'active', 'resources': [{'id': '5d641cd0-6b18-47dc-9510-a564d9b939ad', 'package_id': '9eacac9c-41d1-4a96-8f89-899790ceddcc', 'url': 'https://repository.saeon.ac.za/index.php/s/sD5Bteyo7ZaJ8Nz?opendetails=', 'format': '', 'description': '', 'hash': '', 'position': 0, 'name': 'Climatically Suitable Growth Areas for Eucalyptus badjensis', 'resource_type': 'other', 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-10-17T09:57:25.829177', 'last_modified': None, 'metadata_modified': '2025-10-17T09:57:25.820623', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': '', 'upload_mode': 'single'}], 'num_resources': 1, 'tags': [{'id': '76bc5b3e-aa3e-4117-a94e-53d07473952b', 'name': 'Agriculture', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Agriculture'}, {'id': 'c9cdbbe0-563e-48b0-b276-8873fa70a327', 'name': 'Commercial forestry', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Commercial forestry'}, {'id': 'a373ef67-e2f7-4c4c-a9f1-42afafc3032f', 'name': 'Forestry distribution', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Forestry distribution'}, {'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Imagery-Basemaps-Earth Cover'}, {'id': '246aee2a-e770-40dc-8bcd-223b347a9187', 'name': 'Optimum growth area', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Optimum growth area'}, {'id': 'f554e8ba-09c0-4537-a437-86b627bc65ff', 'name': 'badger gum', 'vocabulary_id': None, 'state': 'active', 'display_name': 'badger gum'}, {'id': 'f454302a-0855-4932-981e-96716ec6ec70', 'name': 'eucalyptus badjensis', 'vocabulary_id': None, 'state': 'active', 'display_name': 'eucalyptus badjensis'}, {'id': '270aa94b-1ca2-41e2-a735-944a362034d0', 'name': 'growth areas', 'vocabulary_id': None, 'state': 'active', 'display_name': 'growth areas'}, {'id': '7e44e7b0-91e0-498f-b2ef-b7a5d8db9859', 'name': 'mean annual precipitation', 'vocabulary_id': None, 'state': 'active', 'display_name': 'mean annual precipitation'}, {'id': '0a26cf57-b8c6-4b72-9ee4-81752d2e70e7', 'name': 'mean annual temperature', 'vocabulary_id': None, 'state': 'active', 'display_name': 'mean annual temperature'}, {'id': '3952e971-20d2-4356-910e-3e5aca562b6c', 'name': 'soil moisture', 'vocabulary_id': None, 'state': 'active', 'display_name': 'soil moisture'}], 'num_tags': 11, 'extras': [{'id': 'cb47fc5d-5fcc-492c-aebb-a313e8a99c98', 'package_id': '9eacac9c-41d1-4a96-8f89-899790ceddcc', 'key': 'contact', 'value': '[{"electronic_mail_address": "curation@saeon.nrf.ac.za", "individual_name": "SAEON", "position_name": "", "role": "point_of_contact"}]', 'state': 'active'}, {'id': 'f63b10f5-44ee-4bd1-aa14-4d767853805b', 'package_id': '9eacac9c-41d1-4a96-8f89-899790ceddcc', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': 'd7994bcd-366b-4dd7-b2a4-ca2c3cf0dc00', 'package_id': '9eacac9c-41d1-4a96-8f89-899790ceddcc', 'key': 'dataset_reference_date', 'value': '[{"reference": "2007-01-01T00:00", "reference_date_type": 1}]', 'state': 'active'}, {'id': '082e5812-3c51-44e5-95d0-44c9a85d662b', 'package_id': '9eacac9c-41d1-4a96-8f89-899790ceddcc', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': '29c87b52-ca1f-44c1-9022-a98c868810a7', 'package_id': '9eacac9c-41d1-4a96-8f89-899790ceddcc', 'key': 'doi', 'value': '10.15493/SARVA.BEEH.10000034', 'state': 'active'}, {'id': '3924e4f9-5dbe-42b7-9259-964590b636c6', 'package_id': '9eacac9c-41d1-4a96-8f89-899790ceddcc', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': '6175afbe-dc9d-43e7-9004-538c89d5889f', 'package_id': '9eacac9c-41d1-4a96-8f89-899790ceddcc', 'key': 'lineage_statement', 'value': 'Eucalyptus badjensis, or the commonly named Badger Gum, is a medium to fast growing tall and low maintenance tree which can withstand low to moderate soil moisture (Australia plants, 2004). This cool climate species grows optimally at MATs ranging from 14 - 17 degree Celsius and MAPs > 725 mm (Kunz, 2004).', 'state': 'active'}, {'id': 'ab752534-733f-4dbc-91c4-faa0b0fb233b', 'package_id': '9eacac9c-41d1-4a96-8f89-899790ceddcc', 'key': 'metadata_date', 'value': '2025-10-17T00:00', 'state': 'active'}, {'id': '039fc18d-dd91-4a01-b9d5-8d91b21be457', 'package_id': '9eacac9c-41d1-4a96-8f89-899790ceddcc', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': '21274f34-72a6-4ac9-82ce-dfda4e94a19d', 'package_id': '9eacac9c-41d1-4a96-8f89-899790ceddcc', 'key': 'metadata_standard', 'value': '[{"name": null, "version": null}]', 'state': 'active'}, {'id': 'ee7ebf3f-a0d6-4b1f-b833-cd3b3de3ca3c', 'package_id': '9eacac9c-41d1-4a96-8f89-899790ceddcc', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': '2a422ef0-f197-4b0b-9a71-fbc87e6c2d49', 'package_id': '9eacac9c-41d1-4a96-8f89-899790ceddcc', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": 2, "linkage": "https://catalogue.saeon.ac.za/records/10.15493/SARVA.BEEH.10000034", "name": "Climatically Suitable Growth Areas for Eucalyptus badjensis"}]', 'state': 'active'}, {'id': '6e5bd472-6960-4681-bcac-8cce052cdfaa', 'package_id': '9eacac9c-41d1-4a96-8f89-899790ceddcc', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': '73be2ee1-5b38-4f7b-8dbc-2d8236ba700d', 'package_id': '9eacac9c-41d1-4a96-8f89-899790ceddcc', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "R.E. Schulze & M. Maharaj", "position_name": "University of KwaZulu-Natal", "role": "originator", "website": ""}]', 'state': 'active'}, {'id': '3ff6e710-6d80-4af9-ab22-222514569eb6', 'package_id': '9eacac9c-41d1-4a96-8f89-899790ceddcc', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "", "delivery_point": "", "postal_code": ""}]', 'state': 'active'}, {'id': '384f5dc8-bf59-4a22-a661-c6d7c70c1888', 'package_id': '9eacac9c-41d1-4a96-8f89-899790ceddcc', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '5b7d004c-1f3b-4fdf-ae6c-d8d026ad91e1', 'package_id': '9eacac9c-41d1-4a96-8f89-899790ceddcc', 'key': 'spatial', 'value': '{"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'}, {'id': '10f0b6c9-c971-4350-b8a7-8aa0104b435d', 'package_id': '9eacac9c-41d1-4a96-8f89-899790ceddcc', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': '813c5f98-ff23-4670-9ffa-54eb345fe698', 'package_id': '9eacac9c-41d1-4a96-8f89-899790ceddcc', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "imageryBaseMapsEarthCover"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': '334e68b0-6184-4cb2-9cc3-19a69a8e35c8', 'name': 'climatically_suitable_growth_areas_for_eucalyptus_benthamii', 'title': 'Climatically Suitable Growth Areas for Eucalyptus benthamii', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, '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).', 'license_id': None, 'type': 'dataset', 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-10-17T09:11:46.432943', 'metadata_modified': '2025-10-17T09:40:33.467393', 'private': False, 'state': 'active', 'resources': [{'id': '15c38271-ed04-432b-9f2a-122f10510441', 'package_id': '334e68b0-6184-4cb2-9cc3-19a69a8e35c8', 'url': 'https://repository.saeon.ac.za/index.php/s/cBLgd5CLASatAEB?openfile=true', 'format': '', 'description': '', 'hash': '', 'position': 0, 'name': 'Climatically Suitable Growth Areas for Eucalyptus benthamii', 'resource_type': 'other', 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-10-17T09:12:14.652792', 'last_modified': None, 'metadata_modified': '2025-10-17T09:12:14.646039', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': '', 'upload_mode': 'single'}], 'num_resources': 1, 'tags': [{'id': '76bc5b3e-aa3e-4117-a94e-53d07473952b', 'name': 'Agriculture', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Agriculture'}, {'id': 'c9cdbbe0-563e-48b0-b276-8873fa70a327', 'name': 'Commercial forestry', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Commercial forestry'}, {'id': 'a373ef67-e2f7-4c4c-a9f1-42afafc3032f', 'name': 'Forestry distribution', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Forestry distribution'}, {'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Imagery-Basemaps-Earth Cover'}, {'id': '246aee2a-e770-40dc-8bcd-223b347a9187', 'name': 'Optimum growth area', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Optimum growth area'}, {'id': '3cc93404-f6b7-4379-ab1e-8c42f0fd9a1d', 'name': 'camden white oak', 'vocabulary_id': None, 'state': 'active', 'display_name': 'camden white oak'}, {'id': '56e25823-a6be-427c-8b36-00f5eca281e5', 'name': 'eucalyptus benthamii', 'vocabulary_id': None, 'state': 'active', 'display_name': 'eucalyptus benthamii'}, {'id': '270aa94b-1ca2-41e2-a735-944a362034d0', 'name': 'growth areas', 'vocabulary_id': None, 'state': 'active', 'display_name': 'growth areas'}, {'id': '0a26cf57-b8c6-4b72-9ee4-81752d2e70e7', 'name': 'mean annual temperature', 'vocabulary_id': None, 'state': 'active', 'display_name': 'mean annual temperature'}, {'id': '3952e971-20d2-4356-910e-3e5aca562b6c', 'name': 'soil moisture', 'vocabulary_id': None, 'state': 'active', 'display_name': 'soil moisture'}], 'num_tags': 10, 'extras': [{'id': 'ffb1be03-27c0-4c94-8d44-b44563217b34', 'package_id': '334e68b0-6184-4cb2-9cc3-19a69a8e35c8', 'key': 'contact', 'value': '[{"electronic_mail_address": "curation@saeon.nrf.ac.za", "individual_name": "SAEON", "position_name": "", "role": "point_of_contact"}]', 'state': 'active'}, {'id': '7c03e558-4d10-4495-b83f-661934390842', 'package_id': '334e68b0-6184-4cb2-9cc3-19a69a8e35c8', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '204eefb0-f91c-4ca9-a5e4-8d79e84442bd', 'package_id': '334e68b0-6184-4cb2-9cc3-19a69a8e35c8', 'key': 'dataset_reference_date', 'value': '[{"reference": "2007-01-01T00:00", "reference_date_type": 1}]', 'state': 'active'}, {'id': '79a8adb5-9cad-4a21-831f-aa13ae36927f', 'package_id': '334e68b0-6184-4cb2-9cc3-19a69a8e35c8', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': '1539bbd6-f233-47af-81a7-68335dbca0cd', 'package_id': '334e68b0-6184-4cb2-9cc3-19a69a8e35c8', 'key': 'doi', 'value': '10.15493/SARVA.BEEH.10000035', 'state': 'active'}, {'id': 'e91bafd0-fc41-4f6f-902a-aa92f10f9fa0', 'package_id': '334e68b0-6184-4cb2-9cc3-19a69a8e35c8', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': '286240b5-c3d1-4fc2-9e43-2614e4e35f59', 'package_id': '334e68b0-6184-4cb2-9cc3-19a69a8e35c8', 'key': 'lineage_statement', 'value': '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).', 'state': 'active'}, {'id': '37eb0a12-4089-42a9-b2e4-a64ef94a9255', 'package_id': '334e68b0-6184-4cb2-9cc3-19a69a8e35c8', 'key': 'metadata_date', 'value': '2025-10-17T00:00', 'state': 'active'}, {'id': '988f5312-acd1-4087-a212-db93f3b70694', 'package_id': '334e68b0-6184-4cb2-9cc3-19a69a8e35c8', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': '30b7b888-488a-47cc-b321-ceb76b147222', 'package_id': '334e68b0-6184-4cb2-9cc3-19a69a8e35c8', 'key': 'metadata_standard', 'value': '[{"name": null, "version": null}]', 'state': 'active'}, {'id': 'e5045315-7382-4968-9376-e947a4a591b1', 'package_id': '334e68b0-6184-4cb2-9cc3-19a69a8e35c8', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': '2c2eb32c-9d2f-4324-a0ef-7bbe2c363ea3', 'package_id': '334e68b0-6184-4cb2-9cc3-19a69a8e35c8', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": 2, "linkage": "https://catalogue.saeon.ac.za/records/10.15493/SARVA.BEEH.10000035", "name": "Climatically Suitable Growth Areas for Eucalyptus benthamii"}]', 'state': 'active'}, {'id': 'a4e4f42a-1db3-4905-a886-c665a6a7ab15', 'package_id': '334e68b0-6184-4cb2-9cc3-19a69a8e35c8', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': 'e184a70f-fa58-4697-aa84-89378fad6afd', 'package_id': '334e68b0-6184-4cb2-9cc3-19a69a8e35c8', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "R.E. Schulze & M. Maharaj", "position_name": "University of KwaZulu-Natal", "role": "originator", "website": ""}]', 'state': 'active'}, {'id': 'db55ac42-2335-43fc-9218-077690885a42', 'package_id': '334e68b0-6184-4cb2-9cc3-19a69a8e35c8', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "", "delivery_point": "", "postal_code": ""}]', 'state': 'active'}, {'id': 'd9c86db0-3449-4d54-8ca5-1ffac3f94068', 'package_id': '334e68b0-6184-4cb2-9cc3-19a69a8e35c8', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': 'd71b02b4-0246-4d6a-b8c2-455ac22b9f31', 'package_id': '334e68b0-6184-4cb2-9cc3-19a69a8e35c8', 'key': 'spatial', 'value': '{"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'}, {'id': '91cf8a0d-1875-4a1e-adbc-2ce8c38c707c', 'package_id': '334e68b0-6184-4cb2-9cc3-19a69a8e35c8', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': '6993885d-72dc-45ff-9d91-3273c1111fac', 'package_id': '334e68b0-6184-4cb2-9cc3-19a69a8e35c8', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "imageryBaseMapsEarthCover"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': 'e702984c-f2a0-4ff1-9462-7b9fc53e5dc3', 'name': 'digital_soil_mapping_for_hydropedological_purposes_of_the_cathedral_peak_research_catchments', 'title': 'Digital soil mapping for hydropedological purposes of the Cathedral Peak research catchments, South Africa', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, 'notes': 'Conventional soil mapping in montane environments is often a difficult and laborious task given access difficulties, the topography of the environment and the time required to conduct the field investigation. Utilising a remote sensing tool, such as the Arc Soil Inference Engine (ArcSIE) to map soils in these locations can add valuable information for land management. The ArcSIE tool was utilised in the Cathedral Peak research catchments, in KwaZulu-Natal, South Africa with the aim of creating an understanding of the hydropedological behaviour of the soils of three research catchments. A rule-based approach was first undertaken, followed by a case-based validation. A fuzzy membership map of each soil group was produced which integrated all inputs. The overall Kappa coefficient for Cathedral Peak-III is 0.57, for Cathedral Peak-VI is 0.59, and for Cathedral Peak-IX is 0.74. The hydropedological soil group maps achieved an appropriate representation of the complex nature of the soil-landscape relationship, with changes between one soil group and the next being gradual and continuous. Accuracies and inaccuracies within the fuzzy-membership maps can be quantified, allowing for a confidence rating in the use of these maps. These maps can therefore be used in further applications in water and land management for the area.', 'license_id': None, 'type': 'dataset', 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-10-16T10:39:05.866061', 'metadata_modified': '2025-10-16T14:33:13.736220', 'private': False, 'state': 'active', 'resources': [{'id': 'a82848d0-2741-42c4-8561-8480ff0eb18d', 'package_id': 'e702984c-f2a0-4ff1-9462-7b9fc53e5dc3', 'url': 'https://catalogue.saeon.ac.za/records/10.15493/SAEON.GFW.07042024', 'format': 'SHP', 'description': '', 'hash': '', 'position': 0, 'name': 'Digital soil mapping for hydropedological purposes of the Cathedral Peak research catchments, South Africa', 'resource_type': None, 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-10-16T10:40:07.131567', 'last_modified': None, 'metadata_modified': '2025-10-16T10:41:10.728592', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': ''}], 'num_resources': 1, 'tags': [{'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Imagery-Basemaps-Earth Cover'}, {'id': '50ed18d2-f407-4cf5-b6a0-2fe04bf1bb98', 'name': 'digital soil mapping', 'vocabulary_id': None, 'state': 'active', 'display_name': 'digital soil mapping'}, {'id': 'eb38531c-24f3-49be-996a-2d8c60be898a', 'name': 'hydropedology', 'vocabulary_id': None, 'state': 'active', 'display_name': 'hydropedology'}, {'id': 'ff1b60ee-4c4d-44f9-89bc-8383e5bf5d96', 'name': 'remote sensing', 'vocabulary_id': None, 'state': 'active', 'display_name': 'remote sensing'}, {'id': '90ec532c-460b-42c1-9a05-8b6e0be51257', 'name': 'soil', 'vocabulary_id': None, 'state': 'active', 'display_name': 'soil'}], 'num_tags': 5, 'extras': [{'id': 'c5e9a9e6-5ae3-4996-afa3-5372176fd39a', 'package_id': 'e702984c-f2a0-4ff1-9462-7b9fc53e5dc3', 'key': 'contact', 'value': '[{"electronic_mail_address": "curation@saeon.nrf.ac.za", "individual_name": "Paul Gordijn", "position_name": "Field Technician", "role": "point_of_contact"}]', 'state': 'active'}, {'id': '5149071a-883b-4ab0-a3f2-eeb78955c80c', 'package_id': 'e702984c-f2a0-4ff1-9462-7b9fc53e5dc3', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '5b86c8e6-f0ab-4e9f-8f96-b210fe0fcb29', 'package_id': 'e702984c-f2a0-4ff1-9462-7b9fc53e5dc3', 'key': 'dataset_reference_date', 'value': '[{"reference": "2024-07-03T00:00", "reference_date_type": 1}]', 'state': 'active'}, {'id': '12f930d7-91af-45f5-8371-f72839cefe9e', 'package_id': 'e702984c-f2a0-4ff1-9462-7b9fc53e5dc3', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': 'fe1edaa9-b16d-420f-a920-53eea00d283d', 'package_id': 'e702984c-f2a0-4ff1-9462-7b9fc53e5dc3', 'key': 'doi', 'value': '10.15493/SAEON.GFW.07042024', 'state': 'active'}, {'id': '50e23ad3-0391-4c7a-982a-9811fdba95c6', 'package_id': 'e702984c-f2a0-4ff1-9462-7b9fc53e5dc3', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': 'f721ded5-57e4-4d15-a9a5-d09b822a9831', 'package_id': 'e702984c-f2a0-4ff1-9462-7b9fc53e5dc3', 'key': 'lineage_statement', 'value': 'The data originates from the 5m resolution Digital Elevation Model (DEM) (Ezemvelo KZN Wildlife, 2016). This DEM was clipped to the correct catchment areas and utilised to create topographic rasters. The rasters were used in theArcSIE (Soil Inference Engine) version 10.2.105 tool.', 'state': 'active'}, {'id': '32dbdf2c-dc7e-4c47-bf44-80d4aa36ca73', 'package_id': 'e702984c-f2a0-4ff1-9462-7b9fc53e5dc3', 'key': 'metadata_date', 'value': '2024-07-03T00:00', 'state': 'active'}, {'id': '64846aee-66c6-46b0-b0e5-ace9b4f12e3b', 'package_id': 'e702984c-f2a0-4ff1-9462-7b9fc53e5dc3', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': '3e844f98-be5a-44d1-bd7f-cc48a3326dc7', 'package_id': 'e702984c-f2a0-4ff1-9462-7b9fc53e5dc3', 'key': 'metadata_standard', 'value': '[{"name": "SANS 1878-1:2011", "version": "1.1"}]', 'state': 'active'}, {'id': '9edc8318-a0b4-4b30-9d59-c7c3a25c68e6', 'package_id': 'e702984c-f2a0-4ff1-9462-7b9fc53e5dc3', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': '72ed460f-e6bb-4e7a-b413-2415d769324e', 'package_id': 'e702984c-f2a0-4ff1-9462-7b9fc53e5dc3', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": 2, "linkage": "https://catalogue.saeon.ac.za/records/10.15493/SAEON.GFW.07042024", "name": "Digital soil mapping for hydropedological purposes of the Cathedral Peak research catchments, South Africa"}]', 'state': 'active'}, {'id': '5c0e0b39-940e-49e5-91c5-4cc6775c6704', 'package_id': 'e702984c-f2a0-4ff1-9462-7b9fc53e5dc3', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': 'b5b29964-54c7-4b0d-a6e7-23129aeaf07e', 'package_id': 'e702984c-f2a0-4ff1-9462-7b9fc53e5dc3', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "South African Environmental Observation Network", "position_name": "SAEON", "role": "resource_provider", "website": "catalogue.saeon.ac.za"}]', 'state': 'active'}, {'id': '76ed3be2-7440-4c62-8adb-7735bf63b683', 'package_id': 'e702984c-f2a0-4ff1-9462-7b9fc53e5dc3', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "", "delivery_point": "", "postal_code": ""}]', 'state': 'active'}, {'id': '58d63058-8277-45a8-b6d7-fa61456994d4', 'package_id': 'e702984c-f2a0-4ff1-9462-7b9fc53e5dc3', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '9a6023e4-8182-4d81-8c5b-6b3c0eba7a3f', 'package_id': 'e702984c-f2a0-4ff1-9462-7b9fc53e5dc3', 'key': 'spatial', 'value': '{"type": "Polygon", "coordinates": [[[29.1913018175082, -29.0085731718718], [29.2730807105465, -29.0085731718718], [29.2730807105465, -28.9799008295305], [29.1913018175082, -28.9799008295305], [29.1913018175082, -29.0085731718718]]]}', 'state': 'active'}, {'id': '1208abfa-bf0d-4374-a791-56fa3fe04425', 'package_id': 'e702984c-f2a0-4ff1-9462-7b9fc53e5dc3', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': '90b1a2af-1816-47ef-99e6-d54307712f2d', 'package_id': 'e702984c-f2a0-4ff1-9462-7b9fc53e5dc3', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "imageryBaseMapsEarthCover"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': 'ff3fe4c1-d6bb-49ab-8841-274bd39f777c', 'name': 'feasible_extraction_of_wheat_residues_in_the_western_cape', 'title': 'feasible_extraction_of_wheat_residues_in_the_western_cape', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, '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%).', 'license_id': None, 'type': 'dataset', 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-06-04T07:57:14.669182', 'metadata_modified': '2025-06-04T07:57:14.669189', 'private': True, 'state': 'draft', 'resources': [], 'num_resources': 0, 'tags': [], 'num_tags': 0, 'extras': [{'id': 'ff850686-ce23-43e2-8f1a-07eda6663846', 'package_id': 'ff3fe4c1-d6bb-49ab-8841-274bd39f777c', 'key': 'contact', 'value': '[{"electronic_mail_address": "", "individual_name": "Wim Hugo", "position_name": "Scientist", "role": "point_of_contact"}]', 'state': 'active'}, {'id': '596958cf-32d0-4925-8c87-efc4cd6d4ffb', 'package_id': 'ff3fe4c1-d6bb-49ab-8841-274bd39f777c', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '4f443c83-d49f-40b1-b8c4-eb26beb9e18c', 'package_id': 'ff3fe4c1-d6bb-49ab-8841-274bd39f777c', 'key': 'dataset_reference_date', 'value': '[{"reference": "2015-01-01T09:53", "reference_date_type": 2}]', 'state': 'active'}, {'id': '73994882-947d-49d9-8f86-1f09dffe9f44', 'package_id': 'ff3fe4c1-d6bb-49ab-8841-274bd39f777c', 'key': 'distribution_format', 'value': '[{"name": "Vector", "version": "1.0"}]', 'state': 'active'}, {'id': '9c16554f-b8f6-4b84-93a2-27fe7d892ac8', 'package_id': 'ff3fe4c1-d6bb-49ab-8841-274bd39f777c', 'key': 'doi', 'value': '10.15493/BEA.DATA.10000072', 'state': 'active'}, {'id': '91ec774b-757c-4d3b-9aa7-9c9735888fd7', 'package_id': 'ff3fe4c1-d6bb-49ab-8841-274bd39f777c', 'key': 'featured', 'value': 'true', 'state': 'active'}, {'id': '1592d920-38cf-4771-94e0-fcf3a26bb391', 'package_id': 'ff3fe4c1-d6bb-49ab-8841-274bd39f777c', 'key': 'lineage_statement', 'value': '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%).', 'state': 'active'}, {'id': '01543a41-bc7e-4ea6-a2db-7be8fa2246e0', 'package_id': 'ff3fe4c1-d6bb-49ab-8841-274bd39f777c', 'key': 'metadata_date', 'value': '2025-06-04T09:54', 'state': 'active'}, {'id': '70004bdd-c373-44c3-8429-3aa9b735abdd', 'package_id': 'ff3fe4c1-d6bb-49ab-8841-274bd39f777c', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "Eng", "metadata_character_set": "utf-8", "metadata_language": "Eng"}]', 'state': 'active'}, {'id': '74c984a5-2c64-4d3a-8d13-38ff22b76ec6', 'package_id': 'ff3fe4c1-d6bb-49ab-8841-274bd39f777c', 'key': 'metadata_standard', 'value': '[{"name": null, "version": null}]', 'state': 'active'}, {'id': '805e7414-a59d-485f-9518-eca2ca893095', 'package_id': 'ff3fe4c1-d6bb-49ab-8841-274bd39f777c', 'key': 'metadata_thumbnail', 'value': 'https://spatialdata.saeon.ac.za:8086/geoserver/BEA/wms?service=WMS&version=1.1.0&request=GetMap&layers=BEA:meso_WRS&styles=&bbox=16.451920000028533,-34.83416989569374,32.892531746697685,-22.125030000001036&width=512&height=395&srs=EPSG:4326&format=application/openlayers', 'state': 'active'}, {'id': '0ac3065c-e52a-4c2c-b9a4-679ed9cf4719', 'package_id': 'ff3fe4c1-d6bb-49ab-8841-274bd39f777c', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": "", "linkage": "", "name": ""}]', 'state': 'active'}, {'id': 'df34e541-1bff-4d27-bca0-ce842b762c35', 'package_id': 'ff3fe4c1-d6bb-49ab-8841-274bd39f777c', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': 'a4e44e8c-4c84-4a38-9434-988382ce9fc6', 'package_id': 'ff3fe4c1-d6bb-49ab-8841-274bd39f777c', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "Wim Hugo", "position_name": "Scientist", "role": "resource_provider"}]', 'state': 'active'}, {'id': 'cb66cd9e-3d26-4201-a104-945035189ae8', 'package_id': 'ff3fe4c1-d6bb-49ab-8841-274bd39f777c', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "", "delivery_point": "", "postal_code": ""}]', 'state': 'active'}, {'id': 'ef31a76b-670b-4596-ae4f-2098eb773864', 'package_id': 'ff3fe4c1-d6bb-49ab-8841-274bd39f777c', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '88ed9abc-5501-4b87-9ef6-d675922a3705', 'package_id': 'ff3fe4c1-d6bb-49ab-8841-274bd39f777c', 'key': 'spatial', 'value': '{"type": "Polygon", "coordinates": [[[-22.12503, -34.8341698957], [16.45212, -34.8341698957], [16.45212, 32.8925317467], [-22.12503, 32.8925317467], [-22.12503, -34.8341698957]]]}', 'state': 'active'}, {'id': '2a38dddf-c2b5-488c-92d1-119553ef057d', 'package_id': 'ff3fe4c1-d6bb-49ab-8841-274bd39f777c', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "1", "spatial_reference_system": "EPSG:4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': '277d14db-b7c7-4925-853a-7d7aec914dd8', 'package_id': 'ff3fe4c1-d6bb-49ab-8841-274bd39f777c', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "farming"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': 'ea094871-4e27-4a33-a109-e1db3e6c2864', 'name': 'feasible_extraction_of_wheat_residues_in_the_western_cape-1', 'title': 'Feasible Extraction of Wheat Residues in the Western Cape', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, '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%).', 'license_id': None, 'type': 'dataset', 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-09-25T13:19:55.863094', 'metadata_modified': '2025-10-16T10:20:04.385396', 'private': False, 'state': 'active', 'resources': [{'id': 'c1accdfe-acc1-4494-a65b-942c94f7d62c', 'package_id': 'ea094871-4e27-4a33-a109-e1db3e6c2864', 'url': 'https://repository.saeon.ac.za/index.php/s/9ypg3fomaWyzTr5', 'format': '', 'description': '', 'hash': '', 'position': 0, 'name': 'Feasible Extraction of Wheat Residues in the Western Cape', 'resource_type': 'other', 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-09-25T13:20:26.729640', 'last_modified': None, 'metadata_modified': '2025-09-25T13:20:26.706895', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': '', 'upload_mode': 'single'}], 'num_resources': 1, 'tags': [{'id': 'ca34cd72-b5a2-4f3f-81d8-61b65cd42ef8', 'name': 'Bioenergy', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Bioenergy'}, {'id': '7212f987-9a76-4d73-bf13-da41d2c5a0b1', 'name': 'Commercial crop system', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Commercial crop system'}, {'id': '2e773657-95fa-4b64-9488-bb790e61bcbf', 'name': 'Energy', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Energy'}, {'id': '0a7dc286-a500-49de-9647-3bbb4e46a0f5', 'name': 'Farming', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Farming'}, {'id': 'e9c2ba74-5eec-405f-bf77-5b0483eae3bf', 'name': 'agriculture', 'vocabulary_id': None, 'state': 'active', 'display_name': 'agriculture'}, {'id': '3599fc01-138e-449a-8618-4697ace9ddfe', 'name': 'biomass', 'vocabulary_id': None, 'state': 'active', 'display_name': 'biomass'}, {'id': '72c85e81-8819-41f9-9327-fb5418e73e31', 'name': 'potential', 'vocabulary_id': None, 'state': 'active', 'display_name': 'potential'}, {'id': '00467143-d7fa-48c1-b70f-20667c4b9fbe', 'name': 'residue', 'vocabulary_id': None, 'state': 'active', 'display_name': 'residue'}, {'id': '19c978b7-61e0-4478-bb59-9e1ca6f050d0', 'name': 'wheat', 'vocabulary_id': None, 'state': 'active', 'display_name': 'wheat'}], 'num_tags': 9, 'extras': [{'id': '52f9f264-b1a0-4f6e-96eb-1b6e63998e1b', 'package_id': 'ea094871-4e27-4a33-a109-e1db3e6c2864', 'key': 'contact', 'value': '[{"electronic_mail_address": "curation@saeon.nrf.ac.za", "individual_name": "Wim Hugo", "position_name": "", "role": "point_of_contact"}]', 'state': 'active'}, {'id': '27de0299-7440-40b0-a309-aea8f59e67db', 'package_id': 'ea094871-4e27-4a33-a109-e1db3e6c2864', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '5b322d69-d616-46de-9c17-a02b9876b97e', 'package_id': 'ea094871-4e27-4a33-a109-e1db3e6c2864', 'key': 'dataset_reference_date', 'value': '[{"reference": "2015-01-01T00:00", "reference_date_type": 1}]', 'state': 'active'}, {'id': 'adacd526-36fc-43c1-a80b-aa5b9f365fa3', 'package_id': 'ea094871-4e27-4a33-a109-e1db3e6c2864', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': 'a725bdf6-73af-4f09-8a05-8537181bcffd', 'package_id': 'ea094871-4e27-4a33-a109-e1db3e6c2864', 'key': 'doi', 'value': '10.15493/BEA.DATA.10000072', 'state': 'active'}, {'id': 'c6fe013b-bd11-4fca-af23-7204ba409c0a', 'package_id': 'ea094871-4e27-4a33-a109-e1db3e6c2864', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': 'a31bc9f0-ffc3-433d-b7f4-038cfad95cb4', 'package_id': 'ea094871-4e27-4a33-a109-e1db3e6c2864', 'key': 'lineage_statement', 'value': '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.', 'state': 'active'}, {'id': 'd502831c-e71e-4c97-b317-ea03740abad1', 'package_id': 'ea094871-4e27-4a33-a109-e1db3e6c2864', 'key': 'metadata_date', 'value': '2015-01-01T00:00', 'state': 'active'}, {'id': '1a24438a-c3cb-4da2-aefa-306bd8fa66f9', 'package_id': 'ea094871-4e27-4a33-a109-e1db3e6c2864', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': '88b8e77b-8913-4960-b29a-a96cdcc05ca0', 'package_id': 'ea094871-4e27-4a33-a109-e1db3e6c2864', 'key': 'metadata_standard', 'value': '[{"name": "SANS 1878-1:2011", "version": "1.1"}]', 'state': 'active'}, {'id': 'a8d97484-67a2-4e6c-a4d8-405ed550d5ab', 'package_id': 'ea094871-4e27-4a33-a109-e1db3e6c2864', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': '63d4c3b4-6c1d-47e4-8044-0bb585698a1e', 'package_id': 'ea094871-4e27-4a33-a109-e1db3e6c2864', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": "", "linkage": "https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000072", "name": "Feasible Extraction of Wheat Residues in the Western Cape"}]', 'state': 'active'}, {'id': '1637a7c1-652f-4249-9365-c4a86b3dcfdf', 'package_id': 'ea094871-4e27-4a33-a109-e1db3e6c2864', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': 'f58051e9-2bd6-4933-a22b-ccd94685b476', 'package_id': 'ea094871-4e27-4a33-a109-e1db3e6c2864', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "curation@saeon.nrf.ac.za", "individual_name": "South African Environmental Observation Network", "position_name": "Organisation", "role": "resource_provider", "website": "https://catalogue.saeon.ac.za"}]', 'state': 'active'}, {'id': '52716bfb-bbff-408e-8a7c-a151ab4cede8', 'package_id': 'ea094871-4e27-4a33-a109-e1db3e6c2864', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "Pretoria", "delivery_point": "", "postal_code": ""}]', 'state': 'active'}, {'id': '0b468cd4-9922-41cc-843d-24dc91f459d0', 'package_id': 'ea094871-4e27-4a33-a109-e1db3e6c2864', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '0817ecd3-a636-4614-acbb-8f9d43011240', 'package_id': 'ea094871-4e27-4a33-a109-e1db3e6c2864', 'key': 'spatial', 'value': '{"type": "Polygon", "coordinates": [[[16.45212, -34.8341698957], [32.8925317467, -34.8341698957], [32.8925317467, -22.12503], [16.45212, -22.12503], [16.45212, -34.8341698957]]]}', 'state': 'active'}, {'id': '3cb64243-7303-443c-b46a-f5fcc1b83d12', 'package_id': 'ea094871-4e27-4a33-a109-e1db3e6c2864', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': '8135d9a3-c5c9-409e-845b-ff35b34e5906', 'package_id': 'ea094871-4e27-4a33-a109-e1db3e6c2864', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "farming"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': 'e780d0b4-b842-432d-bf3d-702824787c71', 'name': 'harvested_forestry_residue', 'title': 'Harvested forestry residue', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, 'notes': 'A geospatial layer of Department of Environment, Forestry and Fisheries (DEFF) forestry regions and associated potential total harvesting residue annually available from wattle, pine and eucalyptus for 2020-2035.', 'license_id': None, 'type': 'dataset', 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-10-17T07:30:51.058226', 'metadata_modified': '2025-10-17T07:49:01.839247', 'private': False, 'state': 'active', 'resources': [{'id': '6876b8e9-eba3-4d12-9969-2cb03482974a', 'package_id': 'e780d0b4-b842-432d-bf3d-702824787c71', 'url': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.250320-9', 'format': 'GEOMAP', 'description': '', 'hash': '', 'position': 0, 'name': 'Harvested forestry residue', 'resource_type': 'other', 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-10-17T07:44:40.507734', 'last_modified': None, 'metadata_modified': '2025-10-17T07:44:40.500034', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': '', 'upload_mode': 'single'}], 'num_resources': 1, 'tags': [{'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Imagery-Basemaps-Earth Cover'}, {'id': '93f00649-3f39-4767-b510-cb53939ef3d0', 'name': 'bark', 'vocabulary_id': None, 'state': 'active', 'display_name': 'bark'}, {'id': 'a48421e5-348a-414b-a87b-7cbcd31d6b82', 'name': 'eucalyptus', 'vocabulary_id': None, 'state': 'active', 'display_name': 'eucalyptus'}, {'id': 'daadde15-6163-491c-99fb-4bd1a9d66541', 'name': 'forestry areas', 'vocabulary_id': None, 'state': 'active', 'display_name': 'forestry areas'}, {'id': '0b93b9df-19e1-459f-bec9-80a25a5de5b7', 'name': 'forestry regions', 'vocabulary_id': None, 'state': 'active', 'display_name': 'forestry regions'}, {'id': 'd1090b00-40bb-40aa-8159-2f16891ac145', 'name': 'forestry residue', 'vocabulary_id': None, 'state': 'active', 'display_name': 'forestry residue'}, {'id': '9853da38-b469-438b-80fe-95b3d45e3133', 'name': 'pine', 'vocabulary_id': None, 'state': 'active', 'display_name': 'pine'}, {'id': '2aede82c-866c-44b4-bc21-beb330f871ff', 'name': 'stalk', 'vocabulary_id': None, 'state': 'active', 'display_name': 'stalk'}, {'id': '4723c79d-871e-4af3-9f97-72814e5627e5', 'name': 'wattle', 'vocabulary_id': None, 'state': 'active', 'display_name': 'wattle'}], 'num_tags': 9, 'extras': [{'id': '68563257-87dd-49ff-ae47-2fa40e9c3ca8', 'package_id': 'e780d0b4-b842-432d-bf3d-702824787c71', 'key': 'contact', 'value': '[{"electronic_mail_address": "curation@saeon.nrf.ac.za", "individual_name": "SAEON Data Science", "position_name": "", "role": "point_of_contact"}]', 'state': 'active'}, {'id': '696a97ee-580c-4942-916b-4d5c358be8ad', 'package_id': 'e780d0b4-b842-432d-bf3d-702824787c71', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': 'ed6bb214-ea5f-4ab2-a8ed-9fa809dfbc69', 'package_id': 'e780d0b4-b842-432d-bf3d-702824787c71', 'key': 'dataset_reference_date', 'value': '[{"reference": "2018-01-01T00:00", "reference_date_type": 2}]', 'state': 'active'}, {'id': '0adec67d-dd68-42f4-977f-c4e446074997', 'package_id': 'e780d0b4-b842-432d-bf3d-702824787c71', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': '5d78f555-3c39-4677-a10f-fa133e13737d', 'package_id': 'e780d0b4-b842-432d-bf3d-702824787c71', 'key': 'doi', 'value': '10.15493/BEA.DATA.250320-9', 'state': 'active'}, {'id': '4dec7920-fa11-4c87-9fb1-37a91ce59ee7', 'package_id': 'e780d0b4-b842-432d-bf3d-702824787c71', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': '630c7895-c12b-4dbe-bbe3-ec228af3da9e', 'package_id': 'e780d0b4-b842-432d-bf3d-702824787c71', 'key': 'lineage_statement', 'value': 'A geospatial layer of Department of Environment, Forestry and Fisheries (DEFF) forestry regions and associated potential total harvesting residue annually available from wattle, pine and eucalyptus for 2020-2035.', 'state': 'active'}, {'id': 'a8cc8eea-921e-4904-ae61-959a9b1451d8', 'package_id': 'e780d0b4-b842-432d-bf3d-702824787c71', 'key': 'metadata_date', 'value': '2025-10-17T00:00', 'state': 'active'}, {'id': 'eed37f95-8fa8-422f-a2fc-955efe3381ec', 'package_id': 'e780d0b4-b842-432d-bf3d-702824787c71', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': 'f39bbc99-39c3-447a-9201-0328778d732d', 'package_id': 'e780d0b4-b842-432d-bf3d-702824787c71', 'key': 'metadata_standard', 'value': '[{"name": "SANS 1878-1:2011", "version": "1.1"}]', 'state': 'active'}, {'id': '09eb340d-c27a-4860-884e-7f8baf962dd5', 'package_id': 'e780d0b4-b842-432d-bf3d-702824787c71', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': 'e1269416-00d4-4ee1-a9da-4d2991014a79', 'package_id': 'e780d0b4-b842-432d-bf3d-702824787c71', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": 2, "linkage": "https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.250320-9", "name": "Harvested forestry residue"}]', 'state': 'active'}, {'id': '9b1288e2-77f2-42f6-bd10-e98038918472', 'package_id': 'e780d0b4-b842-432d-bf3d-702824787c71', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': 'b345d5c7-a6d1-4017-a2d8-37800829817e', 'package_id': 'e780d0b4-b842-432d-bf3d-702824787c71', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "Illaria Germishuizen ", "position_name": "Research Director", "role": "originator", "website": "catalogue.saeon.ac.za"}]', 'state': 'active'}, {'id': '4e2b045a-b944-401c-af05-ac4b30e3480d', 'package_id': 'e780d0b4-b842-432d-bf3d-702824787c71', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "", "delivery_point": "", "postal_code": ""}]', 'state': 'active'}, {'id': 'e52db1ba-7714-40d2-9fd3-5e82839b0c69', 'package_id': 'e780d0b4-b842-432d-bf3d-702824787c71', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': 'd3b8cbc7-fc28-4ebb-aafe-d6370b4f3510', 'package_id': 'e780d0b4-b842-432d-bf3d-702824787c71', 'key': 'spatial', 'value': '{"type": "Polygon", "coordinates": [[[24.965088, -33.985684], [32.773142, -33.985684], [32.773142, -22.771933], [24.965088, -22.771933], [24.965088, -33.985684]]]}', 'state': 'active'}, {'id': 'ec94968c-2b86-4ff8-9a80-529d6492383d', 'package_id': 'e780d0b4-b842-432d-bf3d-702824787c71', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': '55b98ca9-8ef5-45be-ad12-15f4542c9ea7', 'package_id': 'e780d0b4-b842-432d-bf3d-702824787c71', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "imageryBaseMapsEarthCover"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'name': 'infrastructure_assessments', 'title': 'Infrastructure Assessments', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, 'notes': 'SAEON calculated a series of pressure maps to relate population, economic activity and biomass potential to the distribution of current and planned infrastructure. The infrastructure that was considered included: * Operational and decommissioned power stations; * Planned new energy infrastructure, based in NERSA permits; * Eskom planned and current transmission, distribution, and substation infrastructure; * Agriculture infrastructure - silos; * Sawmills and sugar mills; * Waste water treatment works and solid waste disposal sites. In each case, an assessment was made on the basis of four categories (below or over median): 1. Close to infrastructure, and high density of population, economic activity, or biomass potential (possibly problematic); 2. Not close to infrastructure, and high density of population, economic activity, or biomass potential (problematic); 3. Close to infrastructure, and low density of population, economic activity, or biomass potential (not problematic); 4. Not close to infrastructure, and low density of population, economic activity, or biomass potential (not problematic).', 'license_id': None, 'type': 'dataset', 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-10-16T14:41:48.973692', 'metadata_modified': '2025-10-16T14:45:21.869326', 'private': False, 'state': 'active', 'resources': [{'id': '3cd55fec-5252-49d0-9681-0f30991fd80b', 'package_id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'url': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000060', 'format': 'GEOMAP', 'description': '', 'hash': '', 'position': 0, 'name': 'Infrastructure Assessments', 'resource_type': 'other', 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-10-16T14:43:34.437295', 'last_modified': None, 'metadata_modified': '2025-10-16T14:43:34.427997', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': '', 'upload_mode': 'single'}], 'num_resources': 1, 'tags': [{'id': 'ccd1fbaf-5fe7-4784-a643-b6f498578432', 'name': 'Demography', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Demography'}, {'id': '2174dd69-d0cf-4f56-8a32-f527bfb3eb68', 'name': 'Economic vulnerability', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Economic vulnerability'}, {'id': 'ad6bb22c-77f7-4d69-81bb-a19bc4bceb95', 'name': 'Environment', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Environment'}, {'id': '76b43ead-57a0-4dd5-91ab-fcde5a799ad4', 'name': 'Settlement', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Settlement'}, {'id': '1ae6c2fa-2640-4c76-a1e7-a68f7a113248', 'name': 'Socio-economic', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Socio-economic'}, {'id': 'c536ff24-f315-44b0-a86c-ceeb3d7ce9ce', 'name': 'biomass potential', 'vocabulary_id': None, 'state': 'active', 'display_name': 'biomass potential'}, {'id': '100a8a2a-70eb-498d-9c1b-9fa723baf80b', 'name': 'economic activity', 'vocabulary_id': None, 'state': 'active', 'display_name': 'economic activity'}, {'id': '280c04f7-fe83-4294-8167-f2526f7c4a1f', 'name': 'infrastructure', 'vocabulary_id': None, 'state': 'active', 'display_name': 'infrastructure'}, {'id': 'f3244691-7bd3-4de1-a346-92f132d043ee', 'name': 'population', 'vocabulary_id': None, 'state': 'active', 'display_name': 'population'}, {'id': '4036c4e1-0924-4266-899c-fef8fdc97411', 'name': 'pressure', 'vocabulary_id': None, 'state': 'active', 'display_name': 'pressure'}], 'num_tags': 10, 'extras': [{'id': '7839f091-a9d8-4d8c-83b2-2a7adda0eacf', 'package_id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'key': 'contact', 'value': '[{"electronic_mail_address": "curation@saeon.nrf.ac.za", "individual_name": "Wim Hugo", "position_name": "", "role": "point_of_contact"}]', 'state': 'active'}, {'id': '1e7bc740-f641-4bd0-b83d-b82ca2188c85', 'package_id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '60a5ecc3-171f-4e14-ae5d-29e933638ef9', 'package_id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'key': 'dataset_reference_date', 'value': '[{"reference": "2015-01-01T00:00", "reference_date_type": 1}]', 'state': 'active'}, {'id': '736e6557-337b-42a4-ad96-17b6d5bed2e6', 'package_id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': '7e0b423d-cf09-4ae7-af49-03c557a43c23', 'package_id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'key': 'doi', 'value': '10.15493/BEA.DATA.10000060', 'state': 'active'}, {'id': 'befc4ba3-9011-469b-9a82-aeb807938b1f', 'package_id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': '3ccba8ef-e09a-4eba-904d-d6e0ad0bcacd', 'package_id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'key': 'lineage_statement', 'value': 'SAEON calculated a series of pressure maps to relate population, economic activity and biomass potential to the distribution of current and planned infrastructure. The infrastructure that was considered included: * Operational and decommissioned power stations; * Planned new energy infrastructure, based in NERSA permits; * Eskom planned and current transmission, distribution, and substation infrastructure; * Agriculture infrastructure - silos; * Sawmills and sugar mills; * Waste water treatment works and solid waste disposal sites. In each case, an assessment was made on the basis of four categories (below or over median): 1. Close to infrastructure, and high density of population, economic activity, or biomass potential (possibly problematic); 2. Not close to infrastructure, and high density of population, economic activity, or biomass potential (problematic); 3. Close to infrastructure, and low density of population, economic activity, or biomass potential (not problematic); 4. Not close to infrastructure, and low density of population, economic activity, or biomass potential (not problematic).', 'state': 'active'}, {'id': '3a8f3026-42ac-4fc6-9cd4-b242e7b6abfc', 'package_id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'key': 'metadata_date', 'value': '2025-10-16T00:00', 'state': 'active'}, {'id': 'ba3498df-d27f-4c20-86ad-9c66902ef58f', 'package_id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': '07c8cc5c-482e-45cb-a238-95d26ecd30ac', 'package_id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'key': 'metadata_standard', 'value': '[{"name": "SANS 1878-1:2011", "version": "1.1"}]', 'state': 'active'}, {'id': '9244b281-b0b0-4999-818e-e74e9466f521', 'package_id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': 'e410d9a7-8d16-4139-b106-1e3f8ec187d1', 'package_id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": 2, "linkage": "https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000060", "name": "Infrastructure Assessments"}]', 'state': 'active'}, {'id': 'd97398a1-3b5d-4203-9f7a-b6a1e594e0da', 'package_id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': '2f367a9e-b1d5-423a-842a-e2a958692756', 'package_id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "South African Environmental Observation Network", "position_name": "Organisation", "role": "resource_provider", "website": "catalogue.saeon.ac.za"}]', 'state': 'active'}, {'id': 'd043a592-d08b-4942-bc99-232fa36897cf', 'package_id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "", "delivery_point": "", "postal_code": ""}]', 'state': 'active'}, {'id': '02cacdde-c4f5-449c-a5b8-ca0d7a12ab3c', 'package_id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '6c48c96b-f3e7-48d2-9069-f0c2ba3f2bed', 'package_id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'key': 'spatial', 'value': '{"type": "Polygon", "coordinates": [[[16.452, -34.8341698957], [32.8925317467, -34.8341698957], [32.8925317467, -22.12503], [16.452, -22.12503], [16.452, -34.8341698957]]]}', 'state': 'active'}, {'id': 'ec7f0f0e-0864-48bd-b915-1aea01e48940', 'package_id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': 'b8b2b0ff-5a2b-4bf9-80c9-1146b77d0a80', 'package_id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "environment"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'name': 'interpolated_observed_weather_data_for_the_cape_floristic_region', 'title': 'Interpolated observed weather data for the Cape Floristic Region', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, '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. These data can be incorporated into ecological models to propagate the uncertainties through to the final predictions.', 'license_id': None, 'type': 'dataset', 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-10-16T11:32:14.831108', 'metadata_modified': '2025-10-17T09:38:59.712167', 'private': False, 'state': 'active', 'resources': [{'id': '7f7a6c95-c24a-417f-be2c-225aaed7e3c3', 'package_id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'url': 'https://catalogue.saeon.ac.za/records/10.15493/SAEON.FYNBOS.10000001', 'format': 'GEOMAP', 'description': '', 'hash': '', 'position': 0, 'name': 'Interpolated observed weather data for the Cape Floristic Region', 'resource_type': 'other', 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-10-16T11:36:41.735418', 'last_modified': None, 'metadata_modified': '2025-10-16T11:36:41.725285', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': '', 'upload_mode': 'single'}], 'num_resources': 1, 'tags': [{'id': 'b63237e7-b9c9-4d92-9a20-13bc7a956a76', 'name': 'Climate science', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Climate science'}, {'id': '48ad3286-3db6-4060-946b-92eaf1fc126d', 'name': 'Climatology-Meteorology-Atmosphere', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Climatology-Meteorology-Atmosphere'}, {'id': 'd80be9c9-a5ca-418e-9e5b-a3a6dd7a3b44', 'name': 'atmosphere dynamics', 'vocabulary_id': None, 'state': 'active', 'display_name': 'atmosphere dynamics'}, {'id': '68f2471a-c336-4fc9-afd2-d252d6c41b7c', 'name': 'climatology', 'vocabulary_id': None, 'state': 'active', 'display_name': 'climatology'}, {'id': 'd8a5a11d-c929-4410-a2b3-65aa6b9d8263', 'name': 'ecology', 'vocabulary_id': None, 'state': 'active', 'display_name': 'ecology'}, {'id': '30cb3d17-47d2-409e-9026-2c95191db59e', 'name': 'environmental science', 'vocabulary_id': None, 'state': 'active', 'display_name': 'environmental science'}], 'num_tags': 6, 'extras': [{'id': '13aa8c38-046a-451a-9e4d-ccec78c34184', 'package_id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'key': 'contact', 'value': '[{"electronic_mail_address": "adamw@buffalo.edu", "individual_name": "Adam Wilson", "position_name": "", "role": "point_of_contact"}]', 'state': 'active'}, {'id': '57eff77e-27bd-4b5b-8319-5569235f9d2f', 'package_id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': 'b08c32c6-8744-4a75-a74e-41289b092233', 'package_id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'key': 'dataset_reference_date', 'value': '[{"reference": "2016-01-01T00:00", "reference_date_type": 2}]', 'state': 'active'}, {'id': 'a9f75192-d772-41a2-afe4-6874dbe89ba8', 'package_id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': '03f53c47-4c59-4a51-b4f9-224333212191', 'package_id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'key': 'doi', 'value': '10.15493/SAEON.FYNBOS.10000001', 'state': 'active'}, {'id': '85c96808-277f-4afb-901e-98c8def33d51', 'package_id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': '6ef4826d-3c5b-4730-8dad-7601b181df10', 'package_id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'key': 'lineage_statement', 'value': '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', 'state': 'active'}, {'id': '2c9624ba-e55b-4007-bfff-4264bb8cc8f9', 'package_id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'key': 'metadata_date', 'value': '2016-01-01T00:00', 'state': 'active'}, {'id': '1f1e9053-2663-4f86-a210-8a6cc3ce7b8f', 'package_id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': 'f2a40abf-c423-412c-a052-17c5ac6301b2', 'package_id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'key': 'metadata_standard', 'value': '[{"name": null, "version": null}]', 'state': 'active'}, {'id': '3252ea6e-5e9b-4b7e-8bb3-fddec25181c0', 'package_id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': '7f798118-3855-4288-8375-76a90f9a74b0', 'package_id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": 2, "linkage": "https://catalogue.saeon.ac.za/records/10.15493/SAEON.FYNBOS.10000001", "name": "Interpolated observed weather data for the Cape Floristic Region"}]', 'state': 'active'}, {'id': 'baffe6fb-606f-47f5-b613-12571fff5585', 'package_id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': 'c50ec594-8dc3-4bdd-926e-864c8e76cd87', 'package_id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "curation@saeon.nrf.ac.za", "individual_name": "South African Environmental Observation Network", "position_name": "Organisation", "role": "resource_provider", "website": "catalogue.saeon.ac.za"}]', 'state': 'active'}, {'id': 'e009973c-6060-4958-9aab-bd3fe47620e4', 'package_id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "", "delivery_point": "", "postal_code": ""}]', 'state': 'active'}, {'id': 'a9a93564-b3b2-43e7-8ec5-8507e30fe4a1', 'package_id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '5bb46993-b78f-41af-8aa6-5a71fca619e3', 'package_id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'key': 'spatial', 'value': '{"type": "Polygon", "coordinates": [[[17.8, -34.9], [25.8, -34.9], [25.8, -30.9], [17.8, -30.9], [17.8, -34.9]]]}', 'state': 'active'}, {'id': '0a7b926a-bcac-4185-9b81-49e20b27fc7e', 'package_id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': '53b59028-efe9-4d70-93a3-446ef55bd2ba', 'package_id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "climatologyMeteorologyAtmosphere"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': 'c1c3fa77-dfe7-47d0-a780-b83e0b8f2315', 'name': 'pinus_taeda_growth_areas_allocated_to_mesozones', 'title': 'Pinus taeda growth areas allocated to mesozones', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, 'notes': "The dataset shows climatically optimum growth areas and yield estimates of Pinus taeda allocated to mesozones. Yield estimates were derived from Schulze R.E. and Maharaj M. (2007) and then allocated to mesozones by combining with a base mesozone layer obtained from the CSIR Geospatial Analysis Platform (GAP). The map shows the climatically optimum growth areas to be along the north coast of the Eastern Cape, significant tracts in the midlands of KwaZulu-Natal, and parts of Mpumalanga. Major climatic growth constraints are drought related. Highest Mean Annual Increments (MAIs), according to Smith's (1994) equations, are 20 - 22 t/ha/annum and these coincide with the climatically optimum growth areas.", 'license_id': None, 'type': 'dataset', 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-10-17T08:55:19.627353', 'metadata_modified': '2025-10-17T08:57:32.503193', 'private': False, 'state': 'active', 'resources': [{'id': 'dd6ccb93-bfb0-47b6-84d7-3113d97985f6', 'package_id': 'c1c3fa77-dfe7-47d0-a780-b83e0b8f2315', 'url': 'https://repository.saeon.ac.za/index.php/s/r53EQcaaK8CK7PM?opendetails=', 'format': '', 'description': '', 'hash': '', 'position': 0, 'name': 'Pinus taeda growth areas allocated to mesozones', 'resource_type': 'other', 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-10-17T08:55:36.624094', 'last_modified': None, 'metadata_modified': '2025-10-17T08:55:36.612767', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': '', 'upload_mode': 'single'}], 'num_resources': 1, 'tags': [{'id': '76bc5b3e-aa3e-4117-a94e-53d07473952b', 'name': 'Agriculture', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Agriculture'}, {'id': 'c9cdbbe0-563e-48b0-b276-8873fa70a327', 'name': 'Commercial forestry', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Commercial forestry'}, {'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Imagery-Basemaps-Earth Cover'}, {'id': 'e9c2ba74-5eec-405f-bf77-5b0483eae3bf', 'name': 'agriculture', 'vocabulary_id': None, 'state': 'active', 'display_name': 'agriculture'}, {'id': '3599fc01-138e-449a-8618-4697ace9ddfe', 'name': 'biomass', 'vocabulary_id': None, 'state': 'active', 'display_name': 'biomass'}, {'id': '270aa94b-1ca2-41e2-a735-944a362034d0', 'name': 'growth areas', 'vocabulary_id': None, 'state': 'active', 'display_name': 'growth areas'}, {'id': 'ec11507b-eb72-4e46-a0b4-04378e39be8c', 'name': 'mesozones', 'vocabulary_id': None, 'state': 'active', 'display_name': 'mesozones'}, {'id': '43d166c5-cc0a-467e-999f-93d358220fda', 'name': 'pinus taeda', 'vocabulary_id': None, 'state': 'active', 'display_name': 'pinus taeda'}, {'id': 'ffb78bb7-ddac-4f32-b75f-0182de795c57', 'name': 'yield estimation', 'vocabulary_id': None, 'state': 'active', 'display_name': 'yield estimation'}], 'num_tags': 9, 'extras': [{'id': '2d692bec-045e-4f3e-a90b-dcaa0a1a3171', 'package_id': 'c1c3fa77-dfe7-47d0-a780-b83e0b8f2315', 'key': 'contact', 'value': '[{"electronic_mail_address": "curation@saeon.nrf.ac.za", "individual_name": "SAEON", "position_name": "", "role": "point_of_contact"}]', 'state': 'active'}, {'id': 'ec039fc4-3a7c-4e13-ad5e-987d20b48c93', 'package_id': 'c1c3fa77-dfe7-47d0-a780-b83e0b8f2315', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': 'f102784d-4566-4102-bbc8-8e959936be38', 'package_id': 'c1c3fa77-dfe7-47d0-a780-b83e0b8f2315', 'key': 'dataset_reference_date', 'value': '[{"reference": "2007-01-01T00:00", "reference_date_type": 1}]', 'state': 'active'}, {'id': '5bba868d-910b-4cad-a650-10743325cc26', 'package_id': 'c1c3fa77-dfe7-47d0-a780-b83e0b8f2315', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': 'a76d5a27-96b5-4026-ae5f-92a9ed4c8cfc', 'package_id': 'c1c3fa77-dfe7-47d0-a780-b83e0b8f2315', 'key': 'doi', 'value': '10.15493/BEA.DATA.10000014', 'state': 'active'}, {'id': 'b939f880-b36a-428d-828d-db80019cd108', 'package_id': 'c1c3fa77-dfe7-47d0-a780-b83e0b8f2315', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': 'a0919557-ac40-44d2-ae21-8ab36b0d2015', 'package_id': 'c1c3fa77-dfe7-47d0-a780-b83e0b8f2315', 'key': 'lineage_statement', 'value': "The dataset shows climatically optimum growth areas and yield estimates of Pinus taeda allocated to mesozones. Yield estimates were derived from Schulze R.E. and Maharaj M. (2007) and then allocated to mesozones by combining with a base mesozone layer obtained from the CSIR Geospatial Analysis Platform (GAP). *The map shows the climatically optimum growth areas to be along the north coast of the Eastern Cape, significant tracts in the midlands of KwaZulu-Natal, and parts of Mpumalanga. Major climatic growth constraints are drought related. Highest Mean Annual Increments (MAIs), according to Smith's (1994) equations, are 20 - 22 t/ha/annum and these coincide with the climatically optimum growth areas.", 'state': 'active'}, {'id': '573c9029-a3c9-4173-87cc-d0336aa3a8df', 'package_id': 'c1c3fa77-dfe7-47d0-a780-b83e0b8f2315', 'key': 'metadata_date', 'value': '2025-10-17T00:00', 'state': 'active'}, {'id': 'b638cd53-c493-4819-ac74-48c1028539c7', 'package_id': 'c1c3fa77-dfe7-47d0-a780-b83e0b8f2315', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': 'f7bbdc2e-7346-4ab4-8e21-ffa7ff041101', 'package_id': 'c1c3fa77-dfe7-47d0-a780-b83e0b8f2315', 'key': 'metadata_standard', 'value': '[{"name": "SANS 1878-1:2011", "version": "1.1"}]', 'state': 'active'}, {'id': 'd670956f-e968-41e0-a5f9-94db2c19f1c0', 'package_id': 'c1c3fa77-dfe7-47d0-a780-b83e0b8f2315', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': '7c8555fc-25c7-49f6-a3a0-b0283bc29ca0', 'package_id': 'c1c3fa77-dfe7-47d0-a780-b83e0b8f2315', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": 2, "linkage": "https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000014", "name": "Pinus taeda growth areas allocated to mesozones"}]', 'state': 'active'}, {'id': '428988be-4d55-46ba-ac58-b37d51ca6c4c', 'package_id': 'c1c3fa77-dfe7-47d0-a780-b83e0b8f2315', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': '0fb9714b-e914-4167-9476-6e46b1da13c2', 'package_id': 'c1c3fa77-dfe7-47d0-a780-b83e0b8f2315', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "R.E. Schulze & M. Maharaj", "position_name": "University of KwaZulu-Natal", "role": "originator", "website": ""}]', 'state': 'active'}, {'id': 'ec553541-6597-4c00-be66-10c940df9c2d', 'package_id': 'c1c3fa77-dfe7-47d0-a780-b83e0b8f2315', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "", "delivery_point": "", "postal_code": ""}]', 'state': 'active'}, {'id': '12b9734e-c509-4a86-abaa-04118537afeb', 'package_id': 'c1c3fa77-dfe7-47d0-a780-b83e0b8f2315', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '87bc6468-03c3-49fd-83a4-f515596f674b', 'package_id': 'c1c3fa77-dfe7-47d0-a780-b83e0b8f2315', 'key': 'spatial', 'value': '{"type": "Polygon", "coordinates": [[[16.45192, -34.8341698957], [32.8925317467, -34.8341698957], [32.8925317467, -22.12503], [16.45192, -22.12503], [16.45192, -34.8341698957]]]}', 'state': 'active'}, {'id': '60f511db-a9b9-40f2-804e-d8e497e4f9f1', 'package_id': 'c1c3fa77-dfe7-47d0-a780-b83e0b8f2315', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': 'f42578b5-edce-47ca-90ec-6f80f5c20a98', 'package_id': 'c1c3fa77-dfe7-47d0-a780-b83e0b8f2315', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "imageryBaseMapsEarthCover"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': '1e4da9b6-ef19-49f2-9d62-4edcf375e6db', 'name': 'pinus_taeda_yield_estimates_allocated_to_mesozones', 'title': 'Pinus taeda yield estimates allocated to mesozones', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, 'notes': "The dataset shows climatically optimum growth areas and yield estimates of Pinus taeda allocated to mesozones. Yield estimates were derived from Schulze R.E. and Maharaj M. (2007) and then allocated to mesozones by combining with a base mesozone dataset obtained from the CSIR Geospatial Analysis Platform (GAP). The map shows the climatically optimum growth areas to be along the north coast of the Eastern Cape, significant tracts in the midlands of KwaZulu-Natal, and parts of Mpumalanga. Major climatic growth constraints are drought related. Highest Mean Annual Increments (MAIs), according to Smith's (1994) equations, are 20 - 22 t/ha/annum and these coincide with the climatically optimum growth areas.", 'license_id': None, 'type': 'dataset', 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-10-17T08:32:25.356646', 'metadata_modified': '2025-10-17T08:42:56.097213', 'private': False, 'state': 'active', 'resources': [{'id': '6804c35c-6367-4430-afb6-03e330049074', 'package_id': '1e4da9b6-ef19-49f2-9d62-4edcf375e6db', 'url': 'https://repository.saeon.ac.za/index.php/s/5NKxji4aq8QACRm?opendetails=', 'format': '', 'description': '', 'hash': '', 'position': 0, 'name': 'Pinus taeda yield estimates allocated to mesozones', 'resource_type': 'other', 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-10-17T08:37:39.794070', 'last_modified': None, 'metadata_modified': '2025-10-17T08:37:39.784828', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': '', 'upload_mode': 'single'}], 'num_resources': 1, 'tags': [{'id': '76bc5b3e-aa3e-4117-a94e-53d07473952b', 'name': 'Agriculture', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Agriculture'}, {'id': 'c9cdbbe0-563e-48b0-b276-8873fa70a327', 'name': 'Commercial forestry', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Commercial forestry'}, {'id': 'a373ef67-e2f7-4c4c-a9f1-42afafc3032f', 'name': 'Forestry distribution', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Forestry distribution'}, {'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Imagery-Basemaps-Earth Cover'}, {'id': 'e9c2ba74-5eec-405f-bf77-5b0483eae3bf', 'name': 'agriculture', 'vocabulary_id': None, 'state': 'active', 'display_name': 'agriculture'}, {'id': '3599fc01-138e-449a-8618-4697ace9ddfe', 'name': 'biomass', 'vocabulary_id': None, 'state': 'active', 'display_name': 'biomass'}, {'id': '270aa94b-1ca2-41e2-a735-944a362034d0', 'name': 'growth areas', 'vocabulary_id': None, 'state': 'active', 'display_name': 'growth areas'}, {'id': 'ec11507b-eb72-4e46-a0b4-04378e39be8c', 'name': 'mesozones', 'vocabulary_id': None, 'state': 'active', 'display_name': 'mesozones'}, {'id': '43d166c5-cc0a-467e-999f-93d358220fda', 'name': 'pinus taeda', 'vocabulary_id': None, 'state': 'active', 'display_name': 'pinus taeda'}, {'id': 'ffb78bb7-ddac-4f32-b75f-0182de795c57', 'name': 'yield estimation', 'vocabulary_id': None, 'state': 'active', 'display_name': 'yield estimation'}], 'num_tags': 10, 'extras': [{'id': '5861bbde-3b9e-4fba-b56f-1efc06ffb112', 'package_id': '1e4da9b6-ef19-49f2-9d62-4edcf375e6db', 'key': 'contact', 'value': '[{"electronic_mail_address": "curation@saeon.nrf.ac.za", "individual_name": "SAEON", "position_name": "", "role": "point_of_contact"}]', 'state': 'active'}, {'id': '3ad414c7-5392-4761-8b2c-282aecdf15c4', 'package_id': '1e4da9b6-ef19-49f2-9d62-4edcf375e6db', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': 'c7fceafc-a1a2-4fd3-997d-4318d373ab5f', 'package_id': '1e4da9b6-ef19-49f2-9d62-4edcf375e6db', 'key': 'dataset_reference_date', 'value': '[{"reference": "2007-01-01T00:00", "reference_date_type": 2}]', 'state': 'active'}, {'id': '4c858642-ac80-4c85-8b2a-e9e25e5bf3a3', 'package_id': '1e4da9b6-ef19-49f2-9d62-4edcf375e6db', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': '50ae09f7-eddc-413d-a01f-a936388fcca9', 'package_id': '1e4da9b6-ef19-49f2-9d62-4edcf375e6db', 'key': 'doi', 'value': '10.15493/BEA.DATA.10000015', 'state': 'active'}, {'id': 'e0ec5542-73d7-4819-910f-eed14a40f4fd', 'package_id': '1e4da9b6-ef19-49f2-9d62-4edcf375e6db', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': '3c05f225-1ce5-49c2-893e-bc7bc649c787', 'package_id': '1e4da9b6-ef19-49f2-9d62-4edcf375e6db', 'key': 'lineage_statement', 'value': "The dataset shows climatically optimum growth areas and yield estimates of Pinus taeda allocated to mesozones. Yield estimates were derived from Schulze R.E. and Maharaj M. (2007) and then allocated to mesozones by combining with a base mesozone dataset obtained from the CSIR Geospatial Analysis Platform (GAP). *The map shows the climatically optimum growth areas to be along the north coast of the Eastern Cape, significant tracts in the midlands of KwaZulu-Natal, and parts of Mpumalanga. Major climatic growth constraints are drought related. Highest Mean Annual Increments (MAIs), according to Smith's (1994) equations, are 20 - 22 t/ha/annum and these coincide with the climatically optimum growth areas.", 'state': 'active'}, {'id': '4eab8bf8-c5a8-4c7e-baff-4ff39eaf95ed', 'package_id': '1e4da9b6-ef19-49f2-9d62-4edcf375e6db', 'key': 'metadata_date', 'value': '2025-10-17T00:00', 'state': 'active'}, {'id': '71cb63ff-502a-4957-bbb6-45ea3a568867', 'package_id': '1e4da9b6-ef19-49f2-9d62-4edcf375e6db', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': '744775a6-5bbb-441d-8096-77b25f865f72', 'package_id': '1e4da9b6-ef19-49f2-9d62-4edcf375e6db', 'key': 'metadata_standard', 'value': '[{"name": "SANS 1878-1:2011", "version": "1.1"}]', 'state': 'active'}, {'id': '9d6f35fb-c45f-4283-a271-3bdb49efdc60', 'package_id': '1e4da9b6-ef19-49f2-9d62-4edcf375e6db', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': 'f8d2df14-b98e-4106-a607-736e08c11ac5', 'package_id': '1e4da9b6-ef19-49f2-9d62-4edcf375e6db', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": 2, "linkage": "https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000015", "name": "Pinus taeda yield estimates allocated to mesozones"}]', 'state': 'active'}, {'id': 'ce8de0f7-a09a-4136-90e6-8bf6be6af6dc', 'package_id': '1e4da9b6-ef19-49f2-9d62-4edcf375e6db', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': '5e3cd7c1-1368-4720-b2d4-225d47154177', 'package_id': '1e4da9b6-ef19-49f2-9d62-4edcf375e6db', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "R.E. Schulze & M. Maharaj", "position_name": "University of KwaZulu-Natal", "role": "originator", "website": ""}]', 'state': 'active'}, {'id': '1c7c504a-e181-4cfc-951f-49d09e8c2a7f', 'package_id': '1e4da9b6-ef19-49f2-9d62-4edcf375e6db', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "", "delivery_point": "", "postal_code": ""}]', 'state': 'active'}, {'id': '0678becc-849a-406a-9d4c-2b0b5d90a3e1', 'package_id': '1e4da9b6-ef19-49f2-9d62-4edcf375e6db', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '59be1450-be0b-4587-b3dd-de54e179de35', 'package_id': '1e4da9b6-ef19-49f2-9d62-4edcf375e6db', 'key': 'spatial', 'value': '{"type": "Polygon", "coordinates": [[[16.45192, -34.8341698957], [32.8925317467, -34.8341698957], [32.8925317467, -22.12503], [16.45192, -22.12503], [16.45192, -34.8341698957]]]}', 'state': 'active'}, {'id': '19c7e627-9857-4745-bd0f-206ab4f8561b', 'package_id': '1e4da9b6-ef19-49f2-9d62-4edcf375e6db', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': 'b561177b-884c-457a-a4b1-246a5b1e5e36', 'package_id': '1e4da9b6-ef19-49f2-9d62-4edcf375e6db', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "imageryBaseMapsEarthCover"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': '9cc8eab9-ca76-46c4-add6-2232019fed39', 'name': 'production_of_sweet_sorghum_on_subsistence_and_underutilised_farmland', 'title': 'Production of Sweet Sorghum on Subsistence and Underutilised Farmland', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, 'notes': 'Data was derived from the following sources: * Extent of underutilised and subsistence farmland, data obtained from Department of Agriculture, Forestry, and Fisheries. * On such land, Sweet Sorghum potential was calculated from data published by Schulze and Maharaj (2007) on sorghum-growing potential. * Grain, Sugar, and Residue production was calculated based on grain yields, and aggregated to mesozones for planning and feasibility analysis. * Grain, Sugar, and Residue ratios were derived from literature.', 'license_id': None, 'type': 'dataset', 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-09-25T13:06:28.894530', 'metadata_modified': '2025-10-16T10:21:07.200019', 'private': False, 'state': 'active', 'resources': [{'id': '79bd21b9-fa59-4612-a1cb-3ff8df1c6d69', 'package_id': '9cc8eab9-ca76-46c4-add6-2232019fed39', 'url': 'https://repository.saeon.ac.za/index.php/s/SjkLaHoQ45jWAmn', 'format': '', 'description': '', 'hash': '', 'position': 0, 'name': 'Production of Sweet Sorghum on Subsistence and Underutilised Farmland', 'resource_type': 'other', 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-09-25T13:07:20.792286', 'last_modified': None, 'metadata_modified': '2025-09-25T13:07:20.784649', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': '', 'upload_mode': 'single'}], 'num_resources': 1, 'tags': [{'id': '0a7dc286-a500-49de-9647-3bbb4e46a0f5', 'name': 'Farming', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Farming'}], 'num_tags': 1, 'extras': [{'id': '295e8eee-eb01-4df1-95f5-e87a816656c7', 'package_id': '9cc8eab9-ca76-46c4-add6-2232019fed39', 'key': 'contact', 'value': '[{"electronic_mail_address": "curation@saeon.nrf.ac.za", "individual_name": "Wim Hugo", "position_name": "", "role": "point_of_contact"}]', 'state': 'active'}, {'id': '6d25fd45-5efe-422a-a3d0-211ee0aded3a', 'package_id': '9cc8eab9-ca76-46c4-add6-2232019fed39', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '8bc76f51-fc43-4148-a35c-20de9d69be9e', 'package_id': '9cc8eab9-ca76-46c4-add6-2232019fed39', 'key': 'dataset_reference_date', 'value': '[{"reference": "2014-01-01T00:00", "reference_date_type": 1}]', 'state': 'active'}, {'id': 'f5ae60d0-1254-4aab-864f-4e825ce5d55e', 'package_id': '9cc8eab9-ca76-46c4-add6-2232019fed39', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': 'd9d1bb62-d34f-494f-b797-3c14ba26eb79', 'package_id': '9cc8eab9-ca76-46c4-add6-2232019fed39', 'key': 'doi', 'value': '10.15493/BEA.DATA.10000068', 'state': 'active'}, {'id': '1a8f88c2-6e83-452b-b3fd-bd6abcf5fbd3', 'package_id': '9cc8eab9-ca76-46c4-add6-2232019fed39', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': '40b30c50-37c2-4d7c-adf1-5877343fda2d', 'package_id': '9cc8eab9-ca76-46c4-add6-2232019fed39', 'key': 'lineage_statement', 'value': 'Data was derived from the following sources: * Extent of underutilised and subsistence farmland, data obtained from Department of Agriculture, Forestry, and Fisheries.On such land, Sweet Sorghum potential was calculated from data published by Schulze and Maharaj (2007) on sorghum-growing potential.', 'state': 'active'}, {'id': '867680de-8dd3-4194-8fb1-bf904923167f', 'package_id': '9cc8eab9-ca76-46c4-add6-2232019fed39', 'key': 'metadata_date', 'value': '2014-01-01T00:00', 'state': 'active'}, {'id': '3867dba7-0041-4597-afc4-4e3a9f817d27', 'package_id': '9cc8eab9-ca76-46c4-add6-2232019fed39', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': 'ffb8a80d-b2f9-4d7d-8213-03c68ef4fcf0', 'package_id': '9cc8eab9-ca76-46c4-add6-2232019fed39', 'key': 'metadata_standard', 'value': '[{"name": "SANS 1878-1:2011", "version": "1.1"}]', 'state': 'active'}, {'id': '44a85bd0-4919-4fa9-8949-07454b678486', 'package_id': '9cc8eab9-ca76-46c4-add6-2232019fed39', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': '31a57060-4a53-4384-b184-77cca55939fd', 'package_id': '9cc8eab9-ca76-46c4-add6-2232019fed39', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": 2, "linkage": "https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000068", "name": "Production of Sweet Sorghum on Subsistence and Underutilised Farmland"}]', 'state': 'active'}, {'id': '9421b2ab-150c-46f4-bff4-c8e8230cd2e3', 'package_id': '9cc8eab9-ca76-46c4-add6-2232019fed39', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': '64f12063-46b0-4cec-84da-2fe9b6e6b674', 'package_id': '9cc8eab9-ca76-46c4-add6-2232019fed39', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "curation@saeon.nrf.ac.za", "individual_name": "South African Environmental Observation Network", "position_name": "Organisation", "role": "resource_provider", "website": "https://catalogue.saeon.ac.za"}]', 'state': 'active'}, {'id': 'f6895e78-b630-4619-ad29-9bada3b554bb', 'package_id': '9cc8eab9-ca76-46c4-add6-2232019fed39', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "Pretoria", "delivery_point": "", "postal_code": ""}]', 'state': 'active'}, {'id': 'ad727226-250d-473d-a95d-c771f2635c04', 'package_id': '9cc8eab9-ca76-46c4-add6-2232019fed39', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': 'aeaf46f8-0a63-46b3-8186-a29874fef944', 'package_id': '9cc8eab9-ca76-46c4-add6-2232019fed39', 'key': 'spatial', 'value': '{"type": "Polygon", "coordinates": [[[16.45208, -34.8341698957], [32.8925317467, -34.8341698957], [32.8925317467, -22.12503], [16.45208, -22.12503], [16.45208, -34.8341698957]]]}', 'state': 'active'}, {'id': '9cb6d855-ba15-4338-9649-38c815370623', 'package_id': '9cc8eab9-ca76-46c4-add6-2232019fed39', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': 'df4ba447-fe1f-478f-a598-c5cf705c5758', 'package_id': '9cc8eab9-ca76-46c4-add6-2232019fed39', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "farming"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': '36ee9ff8-b6aa-4f1b-896b-eb75ebb835d3', 'name': 'production_of_sweet_sorghum_on_subsistence_and_underutilised_farmland-1', 'title': 'production_of_sweet_sorghum_on_subsistence_and_underutilised_farmland', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, 'notes': 'Data was derived from the following sources: * Extent of underutilised and subsistence farmland, data obtained from Department of Agriculture, Forestry, and Fisheries. * On such land, Sweet Sorghum potential was calculated from data published by Schulze and Maharaj (2007) on sorghum-growing potential. * Grain, Sugar, and Residue production was calculated based on grain yields, and aggregated to mesozones for planning and feasibility analysis. * Grain, Sugar, and Residue ratios were derived from literature', 'license_id': None, 'type': 'dataset', 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-07-04T08:38:24.693133', 'metadata_modified': '2025-07-04T08:47:47.267154', 'private': True, 'state': 'draft', 'resources': [], 'num_resources': 0, 'tags': [{'id': '0a7dc286-a500-49de-9647-3bbb4e46a0f5', 'name': 'Farming', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Farming'}], 'num_tags': 1, 'extras': [{'id': 'd067cceb-5715-4cf6-b2e9-0dbadd4ede7f', 'package_id': '36ee9ff8-b6aa-4f1b-896b-eb75ebb835d3', 'key': 'contact', 'value': '[{"electronic_mail_address": "wim@saeon.nrf.ac.za", "individual_name": "Wim Hugo", "position_name": "Scientist", "role": "point_of_contact"}]', 'state': 'active'}, {'id': 'fba8b100-fc1d-48f0-874e-6230d692fb4b', 'package_id': '36ee9ff8-b6aa-4f1b-896b-eb75ebb835d3', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': 'e4b0bf62-4125-4172-8f28-9f0f6579a4bd', 'package_id': '36ee9ff8-b6aa-4f1b-896b-eb75ebb835d3', 'key': 'dataset_reference_date', 'value': '[{"reference": "2014-01-01T00:00", "reference_date_type": 1}]', 'state': 'active'}, {'id': '896592ff-ceef-41fc-95af-047212d6c090', 'package_id': '36ee9ff8-b6aa-4f1b-896b-eb75ebb835d3', 'key': 'distribution_format', 'value': '[{"name": "SLD", "version": "1.0"}]', 'state': 'active'}, {'id': '7ed728c1-2a4a-44dd-9610-ab09cbf4ee41', 'package_id': '36ee9ff8-b6aa-4f1b-896b-eb75ebb835d3', 'key': 'doi', 'value': '10.15493/BEA.DATA.10000068', 'state': 'active'}, {'id': 'ae0961c5-3e1a-4e95-af17-2c1a10efdea0', 'package_id': '36ee9ff8-b6aa-4f1b-896b-eb75ebb835d3', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': 'e0eb2271-54aa-4adc-bb6d-47e127b981a5', 'package_id': '36ee9ff8-b6aa-4f1b-896b-eb75ebb835d3', 'key': 'lineage_statement', 'value': 'Data was derived from the following sources: * Extent of underutilised and subsistence farmland, data obtained from Department of Agriculture, Forestry, and Fisheries. * On such land, Sweet Sorghum potential was calculated from data published by Schulze and Maharaj (2007) on sorghum-growing potential. * Grain, Sugar, and Residue production was calculated based on grain yields, and aggregated to mesozones for planning and feasibility analysis. * Grain, Sugar, and Residue ratios were derived from literature', 'state': 'active'}, {'id': '8fec7545-6d5d-4308-90c0-15a5aac33834', 'package_id': '36ee9ff8-b6aa-4f1b-896b-eb75ebb835d3', 'key': 'metadata_date', 'value': '2025-07-04T10:34', 'state': 'active'}, {'id': '25559242-0382-41e9-ba9f-3dc5abc9606a', 'package_id': '36ee9ff8-b6aa-4f1b-896b-eb75ebb835d3', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "eng", "metadata_character_set": "utf-8", "metadata_language": "eng"}]', 'state': 'active'}, {'id': 'e45dd94c-1bcb-430a-87c5-79717808a793', 'package_id': '36ee9ff8-b6aa-4f1b-896b-eb75ebb835d3', 'key': 'metadata_standard', 'value': '[{"name": "SANS 1878-1:2011", "version": "1.1"}]', 'state': 'active'}, {'id': '6bf2fddb-417e-4a22-bf39-5533d79d93de', 'package_id': '36ee9ff8-b6aa-4f1b-896b-eb75ebb835d3', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': 'f5f05ee0-953b-4d50-9c13-d3137b02137f', 'package_id': '36ee9ff8-b6aa-4f1b-896b-eb75ebb835d3', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": "", "linkage": "", "name": ""}]', 'state': 'active'}, {'id': '3db19b7c-d6d4-46e4-b4ba-81e1f7de7cb8', 'package_id': '36ee9ff8-b6aa-4f1b-896b-eb75ebb835d3', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': 'f61453bc-d47c-4ac0-b2e2-88b305ecc0f4', 'package_id': '36ee9ff8-b6aa-4f1b-896b-eb75ebb835d3', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "wim@saeon.nrf.ac.za", "individual_name": "Wim Hugo", "position_name": "Scientist", "role": "originator"}]', 'state': 'active'}, {'id': '4f1636d6-8e65-4910-8b9e-1facf83cb271', 'package_id': '36ee9ff8-b6aa-4f1b-896b-eb75ebb835d3', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "", "delivery_point": "", "postal_code": ""}]', 'state': 'active'}, {'id': '511dc928-93bb-4f94-be6f-eb712bde0e5e', 'package_id': '36ee9ff8-b6aa-4f1b-896b-eb75ebb835d3', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': 'cb2fdff3-778c-4bba-b2f0-5448d448723e', 'package_id': '36ee9ff8-b6aa-4f1b-896b-eb75ebb835d3', 'key': 'spatial', 'value': '{"type": "Polygon", "coordinates": [[[16.45208, -34.8341698957], [32.8925317467, -34.8341698957], [32.8925317467, -22.12503], [16.45208, -22.12503], [16.45208, -34.8341698957]]]}', 'state': 'active'}, {'id': 'f3e5af00-bddd-46ac-aaf0-5e9392734608', 'package_id': '36ee9ff8-b6aa-4f1b-896b-eb75ebb835d3', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "1", "spatial_reference_system": "EPSG:4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': 'a3f168c8-cc81-4f94-a83b-6888113b3f04', 'package_id': '36ee9ff8-b6aa-4f1b-896b-eb75ebb835d3', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "farming"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'name': 'serviced_and_unserviced_waste_water_organic_component', 'title': 'Serviced and Unserviced Waste Water - Organic Component', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, 'notes': 'Data was derived from the following sources: * CSIR was commissioned by the BioEnergy Atlas to assemble known data on solid waste production from household and commercial sources in South Africa. This data was only available at provincial aggregate level, and derives from statistics published by the Department of Water and Sanitation, or recent studies funded by them. * Data from StatsSA (Census 2011) enabled the calculation of number of households within each planning zone that were serviced at the time, with the balance unserviced. * SAEON developed a model from national and international statistics linking waste water production and composition to household income. This model was used, based on StatsSA Census Data, to estimate the organic component produced by each household per planning zone (mesozone) annually. * These factors were used to disaggregate provincial production data, resulting in a value for unserviced and serviced organic wastewater from household sources to be calculated for each mesozone.', 'license_id': None, 'type': 'dataset', 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-10-17T07:12:59.317624', 'metadata_modified': '2025-10-17T09:37:29.037486', 'private': False, 'state': 'active', 'resources': [{'id': 'b47f179f-b705-4c67-9f6f-654d5799dd09', 'package_id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'url': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000082', 'format': 'GEOMAP', 'description': '', 'hash': '', 'position': 0, 'name': 'Serviced and Unserviced Waste Water - Organic Component', 'resource_type': 'other', 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-10-17T07:15:03.812737', 'last_modified': None, 'metadata_modified': '2025-10-17T07:15:03.803797', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': '', 'upload_mode': 'single'}], 'num_resources': 1, 'tags': [{'id': 'ad6bb22c-77f7-4d69-81bb-a19bc4bceb95', 'name': 'Environment', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Environment'}, {'id': '5829ec05-94f5-4147-8521-d1c6a37510e3', 'name': 'Hazards and vulnerability', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Hazards and vulnerability'}, {'id': 'cbad33a1-1960-4cf3-a4e6-1d65230faa9d', 'name': 'Municipalities', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Municipalities'}, {'id': '76b43ead-57a0-4dd5-91ab-fcde5a799ad4', 'name': 'Settlement', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Settlement'}, {'id': '1ae6c2fa-2640-4c76-a1e7-a68f7a113248', 'name': 'Socio-economic', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Socio-economic'}, {'id': '3599fc01-138e-449a-8618-4697ace9ddfe', 'name': 'biomass', 'vocabulary_id': None, 'state': 'active', 'display_name': 'biomass'}, {'id': '66132173-2f04-40e0-99d5-d5e601e67fda', 'name': 'organic waste', 'vocabulary_id': None, 'state': 'active', 'display_name': 'organic waste'}, {'id': '562cc66c-eb30-4566-985f-7c07453dfd89', 'name': 'waste water', 'vocabulary_id': None, 'state': 'active', 'display_name': 'waste water'}], 'num_tags': 8, 'extras': [{'id': 'c8fb0a02-97b9-426b-80a2-51d9e3a25c28', 'package_id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'key': 'contact', 'value': '[{"electronic_mail_address": "curation@saeon.nrf.ac.za", "individual_name": "Wim Hugo", "position_name": "", "role": "point_of_contact"}]', 'state': 'active'}, {'id': 'c95676e0-2c90-4699-a3ab-43733e109fd1', 'package_id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '0218b056-91ba-48e5-a6a5-fac69ba2928f', 'package_id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'key': 'dataset_reference_date', 'value': '[{"reference": "2015-01-01T00:00", "reference_date_type": 1}]', 'state': 'active'}, {'id': 'c843d32b-f014-40e4-9f7a-1e3aa43b05bf', 'package_id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'key': 'distribution_format', 'value': '[{"name": "Electronic metadata record", "version": "1.1"}]', 'state': 'active'}, {'id': '7ab9bfff-445b-429b-a988-25400e47484c', 'package_id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'key': 'doi', 'value': '10.15493/BEA.DATA.10000082', 'state': 'active'}, {'id': 'e89693bf-4d61-4767-af91-a60cf472d77b', 'package_id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': '9c229090-e0b4-4654-9797-574706cb147c', 'package_id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'key': 'lineage_statement', 'value': 'Data was derived from the following sources: * CSIR was commissioned by the BioEnergy Atlas to assemble known data on solid waste production from household and commercial sources in South Africa. This data was only available at provincial aggregate level, and derives from statistics published by the Department of Water and Sanitation, or recent studies funded by them. * Data from StatsSA (Census 2011) enabled the calculation of number of households within each planning zone that were serviced at the time, with the balance unserviced. * SAEON developed a model from national and international statistics linking waste water production and composition to household income. This model was used, based on StatsSA Census Data, to estimate the organic component produced by each household per planning zone (mesozone) annually. * These factors were used to disaggregate provincial production data, resulting in a value for unserviced and serviced organic wastewater from household sources to be calculated for each mesozone.', 'state': 'active'}, {'id': '6fb5fe9e-99dd-4a7a-9010-ea5fb0d8ec60', 'package_id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'key': 'metadata_date', 'value': '2025-10-17T00:00', 'state': 'active'}, {'id': 'e362fa36-5874-401e-8307-1ea7019cde44', 'package_id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': '12c35a14-b446-4f8d-a332-f91d2de08102', 'package_id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'key': 'metadata_standard', 'value': '[{"name": null, "version": null}]', 'state': 'active'}, {'id': 'e4ea4108-432d-42ef-8408-606a51233a59', 'package_id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': '0fc13264-94a8-4e84-b126-8a088b33f87c', 'package_id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": 2, "linkage": "https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000082", "name": "Serviced and Unserviced Waste Water - Organic Component"}]', 'state': 'active'}, {'id': '7d21f93c-4414-4ad7-9262-ff033d21ad80', 'package_id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'key': 'reference_system_additional_info', 'value': '', 'state': 'active'}, {'id': '1d2747fe-18c1-4f05-b303-0ed6a06b3688', 'package_id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "South African Environmental Observation Network", "position_name": "Organisation", "role": "resource_provider", "website": "catalogue.saeon.ac.za"}]', 'state': 'active'}, {'id': 'cc068220-ac10-48ec-88ea-f2c9d7b73f3c', 'package_id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "", "delivery_point": "", "postal_code": ""}]', 'state': 'active'}, {'id': 'e1cb8847-eb9e-4dc0-a3f1-821a6280289d', 'package_id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '90d2286f-3a09-4572-910d-71ad8e305a2d', 'package_id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'key': 'spatial', 'value': '{"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'}, {'id': 'a9e9fa1b-79f2-4ab9-8261-76afb4643afc', 'package_id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "N/A", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': 'ba716296-bdfd-4434-8805-c0db74e9e87c', 'package_id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "environment"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': 'd61fb7e7-e122-4613-b1f3-b39769b45fad', 'name': 'south_african_national_landcover_2020', 'title': 'South African National Landcover 2020', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, 'notes': 'Raster-based land-cover dataset representing the full South African landscape for the full year 2020. Derived from 20 m Sentinel 2 imagery acquired between 01 January 2020 and 31 December 2020. Land-cover information classes based on new Gazetted land-cover standards and legend content used in 2013/14 national land-cover data. All land-cover and land-use classes generated using automated modelling procedures for full operational repeatability and change detection. The land-cover was produced with CALC (Computer Automated Land-Cover) system by DEFF.', 'license_id': None, 'type': 'dataset', 'owner_org': 'a08da558-64c6-4214-a930-c678f7300334', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-07-29T17:17:38.431768', 'metadata_modified': '2025-07-29T17:32:59.824478', 'private': False, 'state': 'active', 'resources': [{'id': '8c3c0325-e5d1-468b-b512-155b46791e7a', 'package_id': 'd61fb7e7-e122-4613-b1f3-b39769b45fad', 'url': 'https://environmentza-my.sharepoint.com/personal/gisdocs_environment_gov_za/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fgisdocs%5Fenvironment%5Fgov%5Fza%2FDocuments%2FLandcover%2FSANLC%5F2020%2FSA%5FNLC%5F2020%5FALBERS%2Etif%2Evat%2Ezip&parent=%2Fpersonal%2Fgisdocs%5Fenvironment%5Fgov%5Fza%2FDocuments%2FLandcover%2FSANLC%5F2020&ga=1', 'format': '.geoTIFF', 'description': 'South African National Landcover 2020 Albers ', 'hash': '', 'position': 0, 'name': '', 'resource_type': None, 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-07-29T17:19:29.178539', 'last_modified': None, 'metadata_modified': '2025-07-29T17:24:24.062992', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': '1.0.4'}, {'id': 'a0b258f1-045d-4c79-a444-f2b0d503e612', 'package_id': 'd61fb7e7-e122-4613-b1f3-b39769b45fad', 'url': 'https://saeoss.sansa.org.za/dataset/d61fb7e7-e122-4613-b1f3-b39769b45fad/resource/a0b258f1-045d-4c79-a444-f2b0d503e612/download/sanlc-2020-advisory-note-on-sparsely-wooded-grassland-class.pdf', 'format': 'PDF', 'description': '', 'hash': '', 'position': 1, 'name': 'South African National Landcover 2020 Advisory Note', 'resource_type': 'other', 'mimetype': 'application/pdf', 'mimetype_inner': None, 'size': 615162, 'created': '2025-07-29T17:32:59.845130', 'last_modified': '2025-07-29T17:32:59.809968', 'metadata_modified': '2025-07-29T17:32:59.835583', 'cache_url': None, 'cache_last_updated': None, 'url_type': 'upload', 'state': 'active', 'format_version': '', 'upload_mode': 'single'}], 'num_resources': 2, 'tags': [{'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Imagery-Basemaps-Earth Cover'}], 'num_tags': 1, 'extras': [{'id': '071f44e5-01eb-4978-97fd-7be5aba6c8f2', 'package_id': 'd61fb7e7-e122-4613-b1f3-b39769b45fad', 'key': 'contact', 'value': '[{"electronic_mail_address": "zoumar@environment.gov.za", "individual_name": "Dr Zakariyyaa Oumar", "position_name": "Chief GIS Professional", "role": "point_of_contact"}]', 'state': 'active'}, {'id': 'ba5ab710-aabf-45f9-a3bd-85dbec42590b', 'package_id': 'd61fb7e7-e122-4613-b1f3-b39769b45fad', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": "+2712 399 9293"}]', 'state': 'active'}, {'id': '24ee7759-4320-4b61-bc16-3758ff182751', 'package_id': 'd61fb7e7-e122-4613-b1f3-b39769b45fad', 'key': 'dataset_reference_date', 'value': '[{"reference": "2020-01-01T00:00", "reference_date_type": 1}]', 'state': 'active'}, {'id': 'ec4fb9a3-27c4-4872-ab43-a4b957ea3998', 'package_id': 'd61fb7e7-e122-4613-b1f3-b39769b45fad', 'key': 'distribution_format', 'value': '[{"name": "geo.TIFF", "version": "1.0.4"}]', 'state': 'active'}, {'id': 'f646e25b-df58-4aaf-9f74-8e04bc85ab9f', 'package_id': 'd61fb7e7-e122-4613-b1f3-b39769b45fad', 'key': 'doi', 'value': '', 'state': 'active'}, {'id': '48dc6f44-258b-4c89-918a-c044c31f5a0a', 'package_id': 'd61fb7e7-e122-4613-b1f3-b39769b45fad', 'key': 'featured', 'value': 'true', 'state': 'active'}, {'id': '2897d4a3-5fe8-49ed-ad9d-ba37c199bca9', 'package_id': 'd61fb7e7-e122-4613-b1f3-b39769b45fad', 'key': 'lineage_statement', 'value': 'Land-cover dataset for 2020 generated in-house by the Department of Environment, Forestry and Fisheries (DEFF) with the Computer Automated Land Cover system (CALC), based on full year 2020 coverage of 20 m Sentinel 2 imagery. All original imagery sourced and automatically processed on the Amazon Web Services (AWS) cloud platform. The land-cover classification consists of 73 classes at 20 m resolution and the product was exported as a Geographic Lat/Lon in a GeoTIFF format.', 'state': 'active'}, {'id': 'e3bab6b8-daa5-49e4-b005-ad4b1a236a17', 'package_id': 'd61fb7e7-e122-4613-b1f3-b39769b45fad', 'key': 'metadata_date', 'value': '2021-03-14T00:00', 'state': 'active'}, {'id': '387816ae-85fc-454c-a13e-4fee2289209f', 'package_id': 'd61fb7e7-e122-4613-b1f3-b39769b45fad', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': 'a0143c3b-ef4c-4be9-acf1-30469d2c7797', 'package_id': 'd61fb7e7-e122-4613-b1f3-b39769b45fad', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': 'af2b92de-1ec9-428f-92fd-e1a78db70e1f', 'package_id': 'd61fb7e7-e122-4613-b1f3-b39769b45fad', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": "", "linkage": "", "name": ""}]', 'state': 'active'}, {'id': '01fbaf7b-3b90-44fb-a4fe-12cb6be9a62e', 'package_id': 'd61fb7e7-e122-4613-b1f3-b39769b45fad', 'key': 'reference_system_additional_info', 'value': 'Temporal Extent: 1 January { 31 December 2020.', 'state': 'active'}, {'id': 'dc9dcc44-a802-4829-95ee-bf580d9d5226', 'package_id': 'd61fb7e7-e122-4613-b1f3-b39769b45fad', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "Department of Forestry, Fisheries and the Environment", "position_name": "Directorate: Environmental Spatial Information", "role": "originator", "website": "https://www.dffe.gov.za/egis"}]', 'state': 'active'}, {'id': '673918b1-cc5c-43dc-9fde-6866f5d2059e', 'package_id': 'd61fb7e7-e122-4613-b1f3-b39769b45fad', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "Gauteng", "city": "Pretoria", "delivery_point": "Environment House, Steve Biko Street, 473 Arcadia ", "postal_code": "0083"}]', 'state': 'active'}, {'id': 'c07783f3-1a39-4de0-82bd-9c3bcc49b800', 'package_id': 'd61fb7e7-e122-4613-b1f3-b39769b45fad', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '209adfa5-db27-4cd2-8945-34ff747272d2', 'package_id': 'd61fb7e7-e122-4613-b1f3-b39769b45fad', 'key': 'spatial', 'value': '{"type": "Polygon", "coordinates": [[[16.35032631778782, -34.92461178447033], [33.04569553620593, -34.92461178447033], [33.04569553620593, -22.12415797493763], [16.35032631778782, -22.12415797493763], [16.35032631778782, -34.92461178447033]]]}', 'state': 'active'}, {'id': '3048986c-164f-4f34-99d8-a5620b919e27', 'package_id': 'd61fb7e7-e122-4613-b1f3-b39769b45fad', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "1:60000", "spatial_reference_system": "EPSG:4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': 'e27a0d7e-2e5c-423a-bd49-9d08c4e3c06f', 'package_id': 'd61fb7e7-e122-4613-b1f3-b39769b45fad', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "imageryBaseMapsEarthCover"}]', 'state': 'active'}], 'groups': [], 'organization': {'id': 'a08da558-64c6-4214-a930-c678f7300334', 'name': 'dffe', 'title': 'DFFE', 'type': 'organization', 'description': 'Department of Forestry, Fisheries and the Environment (DFFE)', 'image_url': '2025-07-28-071113.285804DFFE.png', 'created': '2025-07-28T07:11:13.295821', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': 'ffca28cb-5b50-48a9-b3b5-6e34cdff98b7', 'name': 'south_african_national_landcover_2022', 'title': 'South African National Landcover 2022', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, 'notes': 'Raster-based land-cover dataset representing the full South African landscape for the full year 2022. Derived from 20 m Sentinel 2 imagery acquired between 01 January 2022 and 31 December 2022. Land-cover information classes based on\r\nnew Gazetted land-cover standards and legend content used in 2013/14 national land-cover data. All land-cover and land-use classes generated using automated modelling procedures for full operational repeatability and change detection. The land-cover was produced with CALC (Computer Automated Land-Cover) system by DFFE.', 'license_id': None, 'type': 'dataset', 'owner_org': 'a08da558-64c6-4214-a930-c678f7300334', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-07-29T17:43:18.057394', 'metadata_modified': '2025-08-01T08:04:44.724360', 'private': False, 'state': 'active', 'resources': [{'id': '179a059c-2a1c-4c1f-b33c-00de120beeff', 'package_id': 'ffca28cb-5b50-48a9-b3b5-6e34cdff98b7', 'url': 'https://environmentza-my.sharepoint.com/personal/gisdocs_environment_gov_za/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fgisdocs%5Fenvironment%5Fgov%5Fza%2FDocuments%2FLandcover%2FSANLC%5F2022%2FSA%5FNLC%5F2022%5FALBERS%2Ezip&parent=%2Fpersonal%2Fgisdocs%5Fenvironment%5Fgov%5Fza%2FDocuments%2FLandcover%2FSANLC%5F2022&ga=1', 'format': '.geotiff', 'description': '', 'hash': '', 'position': 0, 'name': 'South African National Landcover 2022 Albers', 'resource_type': 'other', 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-07-29T17:47:22.244292', 'last_modified': None, 'metadata_modified': '2025-07-29T17:47:22.236598', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': '', 'upload_mode': 'single'}], 'num_resources': 1, 'tags': [{'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Imagery-Basemaps-Earth Cover'}, {'id': '1a0c8f54-671e-40c2-8568-87b34c7afdf7', 'name': 'ecosystems biodiversity and carbon management', 'vocabulary_id': None, 'state': 'active', 'display_name': 'ecosystems biodiversity and carbon management'}], 'num_tags': 2, 'extras': [{'id': '1b2a1a23-54a2-4340-8fe6-ed49bdbc888a', 'package_id': 'ffca28cb-5b50-48a9-b3b5-6e34cdff98b7', 'key': 'contact', 'value': '[{"electronic_mail_address": "zoumar@environment.gov.za", "individual_name": "Dr Zakariyyaa Oumar", "position_name": "Chief GIS Professional", "role": "point_of_contact"}]', 'state': 'active'}, {'id': 'c66fe49b-9a3c-4840-b851-a4f78e721935', 'package_id': 'ffca28cb-5b50-48a9-b3b5-6e34cdff98b7', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": "+2712 399 9293"}]', 'state': 'active'}, {'id': 'd52a12e5-2fea-4457-a152-c00db33584a3', 'package_id': 'ffca28cb-5b50-48a9-b3b5-6e34cdff98b7', 'key': 'dataset_reference_date', 'value': '[{"reference": "2022-01-01T00:00", "reference_date_type": 1}]', 'state': 'active'}, {'id': 'dc104754-39a9-4e29-b2c1-b9dc622bf089', 'package_id': 'ffca28cb-5b50-48a9-b3b5-6e34cdff98b7', 'key': 'distribution_format', 'value': '[{"name": "geo.TIFF", "version": "1.0.4"}]', 'state': 'active'}, {'id': 'caa5e70a-16ec-459f-affc-77c013e7178b', 'package_id': 'ffca28cb-5b50-48a9-b3b5-6e34cdff98b7', 'key': 'doi', 'value': '', 'state': 'active'}, {'id': '1c5bf2fc-b979-42b9-9d65-96c46c3c1b7c', 'package_id': 'ffca28cb-5b50-48a9-b3b5-6e34cdff98b7', 'key': 'featured', 'value': 'true', 'state': 'active'}, {'id': '8e0bf2e8-241c-4931-8cdf-9ae2b9985b78', 'package_id': 'ffca28cb-5b50-48a9-b3b5-6e34cdff98b7', 'key': 'lineage_statement', 'value': 'Land-cover dataset for 2022 generated in-house by the Department of Forestry, Fisheries and the Environment (DFFE) with the Computer Automated Land Cover system (CALC), based on full year 2022 coverage of 20 m Sentinel 2 imagery. All original imagery sourced and automatically processed on the Amazon Web Services (AWS) cloud platform. The land-cover classification consists of 73 classes at 20 m resolution and the product was exported as a Geographic Lat/Lon in a GeoTIFF format.', 'state': 'active'}, {'id': '9798faf9-e1f8-40a0-9a80-d11de9b7c108', 'package_id': 'ffca28cb-5b50-48a9-b3b5-6e34cdff98b7', 'key': 'metadata_date', 'value': '2024-04-15T00:00', 'state': 'active'}, {'id': 'f95ae220-b792-46ff-bd8e-082beaf40c73', 'package_id': 'ffca28cb-5b50-48a9-b3b5-6e34cdff98b7', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': '3ffb7182-703f-4ff5-ad46-8226591b2725', 'package_id': 'ffca28cb-5b50-48a9-b3b5-6e34cdff98b7', 'key': 'metadata_standard', 'value': '[{"name": null, "version": null}]', 'state': 'active'}, {'id': 'c719d4a6-cd8e-4a2f-aa4c-a26c20673d3b', 'package_id': 'ffca28cb-5b50-48a9-b3b5-6e34cdff98b7', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': '600f74f2-9a2a-468f-867c-bb7b1d3a3282', 'package_id': 'ffca28cb-5b50-48a9-b3b5-6e34cdff98b7', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": "", "linkage": "", "name": ""}]', 'state': 'active'}, {'id': 'd4a19ad5-2cb9-4f90-8365-b458d5891b63', 'package_id': 'ffca28cb-5b50-48a9-b3b5-6e34cdff98b7', 'key': 'reference_system_additional_info', 'value': 'Temporal Extent: 1 January - 31 December 2022.', 'state': 'active'}, {'id': '6fab6ffb-2270-462b-a5be-1ea802c46607', 'package_id': 'ffca28cb-5b50-48a9-b3b5-6e34cdff98b7', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "Department of Forestry, Fisheries and the Environment", "position_name": "Directorate: Environmental Spatial Information", "role": "originator", "website": "https://www.dffe.gov.za/egis"}]', 'state': 'active'}, {'id': 'e4e93592-22fd-4592-b1a7-4f77f2efeef1', 'package_id': 'ffca28cb-5b50-48a9-b3b5-6e34cdff98b7', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "Gauteng", "city": "Pretoria", "delivery_point": "Environment House, Steve Biko Street, 473 Arcadia ", "postal_code": "0083"}]', 'state': 'active'}, {'id': '7ac0cdb3-481e-4633-a2b2-a7907a2ffcd8', 'package_id': 'ffca28cb-5b50-48a9-b3b5-6e34cdff98b7', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '4b411aff-edde-4228-bf27-729a24a42435', 'package_id': 'ffca28cb-5b50-48a9-b3b5-6e34cdff98b7', 'key': 'spatial', 'value': '{"type": "Polygon", "coordinates": [[[16.35032631778782, -34.92461178447033], [33.04569553620593, -34.92461178447033], [33.04569553620593, -22.12415797493763], [16.35032631778782, -22.12415797493763], [16.35032631778782, -34.92461178447033]]]}', 'state': 'active'}, {'id': '61b132fc-9278-4d4d-b122-88e38ae0a5c9', 'package_id': 'ffca28cb-5b50-48a9-b3b5-6e34cdff98b7', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "1:60000", "spatial_reference_system": "EPSG:4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': 'ca03b933-c422-49c3-8cf8-af2a504d917a', 'package_id': 'ffca28cb-5b50-48a9-b3b5-6e34cdff98b7', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "imageryBaseMapsEarthCover"}]', 'state': 'active'}], 'groups': [], 'organization': {'id': 'a08da558-64c6-4214-a930-c678f7300334', 'name': 'dffe', 'title': 'DFFE', 'type': 'organization', 'description': 'Department of Forestry, Fisheries and the Environment (DFFE)', 'image_url': '2025-07-28-071113.285804DFFE.png', 'created': '2025-07-28T07:11:13.295821', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'name': 'south_african_renewable_energy_eia_application_database', 'title': 'South African Renewable Energy EIA Application Database', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, 'notes': 'The South African Renewable Energy EIA Application Database contains spatial data for renewable energy applications for environmental authorisation. It includes spatial and attribute information for both active (in process and with valid authorisations) and non-active (lapsed or replaced by amendments) applications. Data is captured and managed on a parcels level as well as aggregated to the project level. Only outer boundaries are provided in this release.', 'license_id': None, 'type': 'dataset', 'owner_org': 'a08da558-64c6-4214-a930-c678f7300334', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-07-29T13:12:22.439409', 'metadata_modified': '2025-07-29T16:15:55.992836', 'private': False, 'state': 'active', 'resources': [{'id': 'd9afac43-b7ba-4d49-a35b-36e96493fdab', 'package_id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'url': 'https://environmentza-my.sharepoint.com/personal/gisdocs_environment_gov_za/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fgisdocs%5Fenvironment%5Fgov%5Fza%2FDocuments%2FREEA%2FREEA%5FOR%5F2025%5FQ1%2Ekml&parent=%2Fpersonal%2Fgisdocs%5Fenvironment%5Fgov%5Fza%2FDocuments%2FREEA&ga=1', 'format': 'SHP', 'description': '', 'hash': '', 'position': 0, 'name': 'South African renewable energy EIA application database', 'resource_type': None, 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-07-29T13:14:53.815138', 'last_modified': None, 'metadata_modified': '2025-07-29T13:31:49.411162', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': '3.2.0'}, {'id': '79722abf-7969-4b26-bc22-64752afb94b4', 'package_id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'url': 'https://www.dffe.gov.za/egis', 'format': 'url', 'description': '', 'hash': '', 'position': 1, 'name': 'Environmental Geographic Information System', 'resource_type': None, 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-07-29T13:29:21.824555', 'last_modified': None, 'metadata_modified': '2025-07-29T13:32:37.358442', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': ''}, {'id': '6eaa026f-707d-4130-a4b7-d2e07604309f', 'package_id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'url': 'https://saeoss.sansa.org.za/dataset/eeac54f3-4f1d-4486-9c28-02aa24fe5298/resource/6eaa026f-707d-4130-a4b7-d2e07604309f/download/reea_or_2025_q1_metadata.pdf', 'format': 'PDF', 'description': '', 'hash': '', 'position': 2, 'name': 'REEA 2025 Quarter 1 Metadata', 'resource_type': 'other', 'mimetype': 'application/pdf', 'mimetype_inner': None, 'size': 326659, 'created': '2025-07-29T16:15:56.009553', 'last_modified': '2025-07-29T16:15:55.979905', 'metadata_modified': '2025-07-29T16:15:56.000180', 'cache_url': None, 'cache_last_updated': None, 'url_type': 'upload', 'state': 'active', 'format_version': '', 'upload_mode': 'single'}], 'num_resources': 3, 'tags': [{'id': '48ad3286-3db6-4060-946b-92eaf1fc126d', 'name': 'Climatology-Meteorology-Atmosphere', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Climatology-Meteorology-Atmosphere'}, {'id': '43c4a07a-15a1-4dfa-af2d-79115927edac', 'name': 'climate energy and urbanization', 'vocabulary_id': None, 'state': 'active', 'display_name': 'climate energy and urbanization'}], 'num_tags': 2, 'extras': [{'id': '2c435934-1613-4394-8cf3-ed3822eaba30', 'package_id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'key': 'contact', 'value': '[{"electronic_mail_address": "Reapplicationmap@dffe.gov.za", "individual_name": "Acting Director: Environmental Spatial Information", "position_name": "Acting Director", "role": "point_of_contact"}]', 'state': 'active'}, {'id': 'cecb52cf-7913-4c9c-96cc-9b347495c0fc', 'package_id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '68964cec-def1-4788-8887-0cb4fe9370b8', 'package_id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'key': 'dataset_reference_date', 'value': '[{"reference": "2025-04-30T00:00", "reference_date_type": 2}]', 'state': 'active'}, {'id': '3b1003e7-2d1c-4554-a348-0c50f81736bf', 'package_id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'key': 'distribution_format', 'value': '[{"name": "ArcGIS Pro 3.2.0. Shapefile (shp) file format", "version": "3.2.0"}]', 'state': 'active'}, {'id': 'a406923d-5eff-48e7-9545-9660fb86c1d9', 'package_id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'key': 'doi', 'value': '', 'state': 'active'}, {'id': '7a2d511b-81da-4cd0-854f-b69d3e317d82', 'package_id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'key': 'featured', 'value': 'true', 'state': 'active'}, {'id': '8db64702-e91c-453a-b436-df87fc87336e', 'package_id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'key': 'lineage_statement', 'value': 'This database was originally developed from a DFFE internal database containing environmental applications for renewable energy developments based on the SEA project for Renewable Energy updated to December 2013. From December 2013 to 30 May 2025 the information extracted from these databases were verified and supplemented with official environment application documentation where available, such as application forms, EIA reports, Environmental Authorisations, and lapse letters. Such documentation was primarily provided by DFFE. In cases where documentation was not available from DFFE it was sourced from project websites. In some instances where official documentation was not available from DFFE applicants or their consultants were also contacted to obtain or verify information. There are 0 amendments added; 24 new applications captured and 0 corrections made, see ANNEXURE A with details of records.', 'state': 'active'}, {'id': 'e76c7b2c-10c5-4203-976c-43b4f1a37c88', 'package_id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'key': 'metadata_date', 'value': '2025-07-29T00:00', 'state': 'active'}, {'id': '3c13fcfa-61b9-4043-97be-eef2cf1dc01e', 'package_id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "usAscii", "dataset_language": "English", "metadata_character_set": "usAscii", "metadata_language": "English"}]', 'state': 'active'}, {'id': 'd95dca99-b2cb-497e-9a7f-8cf0efeb5f0d', 'package_id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'key': 'metadata_standard', 'value': '[{"name": null, "version": null}]', 'state': 'active'}, {'id': 'ca7f3e85-198e-47ec-be13-7db2f2cbb3ec', 'package_id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': 'ef2f20b6-9954-45c6-b701-3e474c5490a1', 'package_id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'key': 'online_resource', 'value': '[{"application_profile": "ArcGIS", "description": 1, "linkage": "https://egis.environment.gov.za/", "name": ""}]', 'state': 'active'}, {'id': '4bc13fab-0bf9-415e-a3c9-3435b4a1b467', 'package_id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'key': 'reference_system_additional_info', 'value': 'N/A', 'state': 'active'}, {'id': 'e22141e1-d8ac-415d-a7d3-a34ded46b85d', 'package_id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "Reapplicationmap@dffe.gov.za", "individual_name": "Department of Forestry, Fisheries and the Environment", "position_name": "Directorate: Environmental Spatial Information", "role": "originator", "website": "https://egis.environment.gov.za/"}]', 'state': 'active'}, {'id': '673cbeb8-4c25-4ad8-956b-47fd7f3b1033', 'package_id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "Gauteng", "city": "Pretoria", "delivery_point": "Department of Forestry, Fisheries and the Environment Directorate: Environmental Spatial Information Private Bag X447 Pretoria Gauteng South Africa 0001", "postal_code": "0001"}]', 'state': 'active'}, {'id': '459eb156-8f9b-4433-869a-a743a4fd408e', 'package_id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": "+27 12 399 9295"}]', 'state': 'active'}, {'id': 'e0727321-2ecc-4aa8-8a0a-846692f7a084', 'package_id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'key': 'spatial', 'value': '{"type": "Polygon", "coordinates": [[[16.452278, -46.98034], [38.011607, -46.98034], [38.011607, -22.329087], [16.452278, -22.329087], [16.452278, -46.98034]]]}', 'state': 'active'}, {'id': '250465c2-9ad8-4cec-aa49-51de6cc80910', 'package_id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "1:5000", "spatial_reference_system": "EPSG:4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': 'f7cebd28-efcf-42f6-8ae3-43b453933780', 'package_id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "climatologyMeteorologyAtmosphere"}]', 'state': 'active'}], 'groups': [], 'organization': {'id': 'a08da558-64c6-4214-a930-c678f7300334', 'name': 'dffe', 'title': 'DFFE', 'type': 'organization', 'description': 'Department of Forestry, Fisheries and the Environment (DFFE)', 'image_url': '2025-07-28-071113.285804DFFE.png', 'created': '2025-07-28T07:11:13.295821', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}, {'id': '695aa705-9c99-41b3-983b-6bbc25d36d45', 'name': 'virtual_roads_for_the_bioenergy_atlas', 'title': 'Virtual Roads for the BioEnergy Atlas', 'version': None, 'url': None, 'author': None, 'author_email': None, 'maintainer': None, 'maintainer_email': None, 'notes': "Virtual roads representing theoretical paths [roads] starting every 1km apart (across South Africa) from areas where no roads exists to the closest road segment in South Africa's National Geo-spatial Information (NGI) 2019 road layer (http://www.ngi.gov.za) -- for use in the SAEON BioEnergy Atlas feasibility model. A cost surface using a digital elevation model (SRTM v3) [~30m] was used as the basis, with main water features (rivers and dams) and a slope threshold of 15 degrees removed as obstacles from the surface. Start points (derived from a 1km x 1km raster grid, and end points (the NGI road layer) rasterised at a 100m x 100m resolution, both using the StatsSA BSU grid projection ['+proj=aea +lat_1=-22 +lat_2=-38 +lat_0=-30 +lon_0=25 +x_0=1400000 +y_0=1300000 +datum=WGS84 +units=m +no_defs]) were used as location inputs. Non-NA raster values from these location inputs were converted to points (the centroid of each Non-NA pixel), then reprojected to the same resolution as the cost surface (e.g. EPSG:4326 - WGS 84 – Geographic). A variable resolution window was used for modelling [based on 250 start points at a time, each linked to 100 closest road points [end points] to create an extent and perform the modelling operation in reasonably sized chunks]. The scikit-image python package was used to find the shortest path through each cost surface array cropped using the variable window extent, using a fully connected (i.e diagonal pixels) minimum cost path (MCU) algorithm. All outputs were merged to create a seamless Virtual roads layer with 1 051 696 individual paths covering South Africa.", 'license_id': None, 'type': 'dataset', 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'metadata_created': '2025-09-11T14:42:20.726226', 'metadata_modified': '2025-09-11T14:43:53.300875', 'private': False, 'state': 'active', 'resources': [{'id': '21133e12-ea91-4955-866c-62ae4330e4ac', 'package_id': '695aa705-9c99-41b3-983b-6bbc25d36d45', 'url': 'https://repository.saeon.ac.za/index.php/s/AR3iz9wrn4YFmcb', 'format': 'SHP', 'description': '', 'hash': '', 'position': 0, 'name': 'Virtual Roads for the BioEnergy Atlas', 'resource_type': 'other', 'mimetype': None, 'mimetype_inner': None, 'size': None, 'created': '2025-09-11T14:43:39.502682', 'last_modified': None, 'metadata_modified': '2025-09-11T14:43:39.493080', 'cache_url': None, 'cache_last_updated': None, 'url_type': None, 'state': 'active', 'format_version': '', 'upload_mode': 'single'}], 'num_resources': 1, 'tags': [{'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'vocabulary_id': None, 'state': 'active', 'display_name': 'Imagery-Basemaps-Earth Cover'}], 'num_tags': 1, 'extras': [{'id': '0d6acdc0-ef1c-4a1c-a0eb-108271f0b3f1', 'package_id': '695aa705-9c99-41b3-983b-6bbc25d36d45', 'key': 'contact', 'value': '[{"electronic_mail_address": "m.pienaar@saeon.nrf.ac.za", "individual_name": "Marc Pienaar", "position_name": "Data Science Lead", "role": "point_of_contact"}]', 'state': 'active'}, {'id': 'e4172159-d4b2-46f0-baa5-c1759ef60dfb', 'package_id': '695aa705-9c99-41b3-983b-6bbc25d36d45', 'key': 'contact_information', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '3f1cf4fd-901d-4479-a576-4e2c4e3f726c', 'package_id': '695aa705-9c99-41b3-983b-6bbc25d36d45', 'key': 'dataset_reference_date', 'value': '[{"reference": "2023-01-01T00:00", "reference_date_type": 1}]', 'state': 'active'}, {'id': 'f0791044-a8e2-4090-8dfe-dc5125e1ba1b', 'package_id': '695aa705-9c99-41b3-983b-6bbc25d36d45', 'key': 'distribution_format', 'value': '[{"name": "Vector", "version": "1.1"}]', 'state': 'active'}, {'id': 'ef8f1f32-04de-4723-a1b5-38b47ed689d8', 'package_id': '695aa705-9c99-41b3-983b-6bbc25d36d45', 'key': 'doi', 'value': '10.15493/BEA.DATA.250320-20', 'state': 'active'}, {'id': '5f4e75ac-bc1c-40d1-bae2-e806b4564159', 'package_id': '695aa705-9c99-41b3-983b-6bbc25d36d45', 'key': 'featured', 'value': 'false', 'state': 'active'}, {'id': 'd17dc7fc-3612-4856-a323-ae70ae8e5036', 'package_id': '695aa705-9c99-41b3-983b-6bbc25d36d45', 'key': 'lineage_statement', 'value': "A cost surface using a digital elevation model (SRTM v3) [~30m] was used as the basis, with main water features (rivers and dams) and a slope threshold of 15 degrees removed as obstacles from the surface. Start points (derived from a 1km x 1km raster grid, and end points (the NGI road layer) rasterised at a 100m x 100m resolution, both using the StatsSA BSU grid projection ['+proj=aea +lat_1=-22 +lat_2=-38 +lat_0=-30 +lon_0=25 +x_0=1400000 +y_0=1300000 +datum=WGS84 +units=m +no_defs]) were used as location inputs. Non-NA raster values from these location inputs were converted to points (the centroid of each Non-NA pixel), then reprojected to the same resolution as the cost surface (e.g. EPSG:4326 - WGS 84 – Geographic). A variable resolution window was used for modelling [based on 250 start points at a time, each linked to 100 closest road points [end points] to create an extent and perform the modelling operation in reasonably sized chunks].", 'state': 'active'}, {'id': 'e0ff777c-5e2d-4cd5-a7be-f976a5cb29cc', 'package_id': '695aa705-9c99-41b3-983b-6bbc25d36d45', 'key': 'metadata_date', 'value': '2023-01-01T00:00', 'state': 'active'}, {'id': '5d02046a-04b4-4a75-be08-0c3469115dd9', 'package_id': '695aa705-9c99-41b3-983b-6bbc25d36d45', 'key': 'metadata_language_and_character_set', 'value': '[{"dataset_character_set": "utf-8", "dataset_language": "English", "metadata_character_set": "utf-8", "metadata_language": "English"}]', 'state': 'active'}, {'id': '83607b26-f525-4aa5-aabc-7dfd1279ee71', 'package_id': '695aa705-9c99-41b3-983b-6bbc25d36d45', 'key': 'metadata_standard', 'value': '[{"name": "SANS 1878-1:2011", "version": "1.1"}]', 'state': 'active'}, {'id': '54d6305c-aa8b-438c-b77d-5b919a93103a', 'package_id': '695aa705-9c99-41b3-983b-6bbc25d36d45', 'key': 'metadata_thumbnail', 'value': '', 'state': 'active'}, {'id': 'f2b08783-8924-4051-bb12-475328f00175', 'package_id': '695aa705-9c99-41b3-983b-6bbc25d36d45', 'key': 'online_resource', 'value': '[{"application_profile": "", "description": 2, "linkage": "http://doi.org/10.15493/BEA.DATA.250320-20", "name": "virtual_roads_for_the_bioenergy_atlas"}]', 'state': 'active'}, {'id': '92983991-e28c-4446-a47f-73c59b7ed9b4', 'package_id': '695aa705-9c99-41b3-983b-6bbc25d36d45', 'key': 'reference_system_additional_info', 'value': 'Temporal extent: 2020-01-01/2021-01-01', 'state': 'active'}, {'id': '6f1e89dc-9899-4c1d-b5d3-541bbdedb984', 'package_id': '695aa705-9c99-41b3-983b-6bbc25d36d45', 'key': 'responsible_party', 'value': '[{"electronic_mail_address": "", "individual_name": "South African Environmental Observation Network", "position_name": "SAEON", "role": "originator", "website": "https://catalogue.saeon.ac.za"}]', 'state': 'active'}, {'id': '40d4ab30-0127-4fda-87a7-645a93643075', 'package_id': '695aa705-9c99-41b3-983b-6bbc25d36d45', 'key': 'responsible_party_contact_address', 'value': '[{"administrative_area": "", "city": "", "delivery_point": "", "postal_code": ""}]', 'state': 'active'}, {'id': 'd1c0c354-f52a-49a5-ad8f-24cb735d2cee', 'package_id': '695aa705-9c99-41b3-983b-6bbc25d36d45', 'key': 'responsible_party_contact_info', 'value': '[{"facsimile": "", "voice": ""}]', 'state': 'active'}, {'id': '51f4c45d-e383-42a2-b7ec-1bae3bf8fbf9', 'package_id': '695aa705-9c99-41b3-983b-6bbc25d36d45', 'key': 'spatial', 'value': '{"type": "Polygon", "coordinates": [[[18.418274, -34.421526], [32.773142, -34.421526], [32.773142, -22.771933], [18.418274, -22.771933], [18.418274, -34.421526]]]}', 'state': 'active'}, {'id': '2fd3bf8f-7681-4e83-9e3d-f59bf072908e', 'package_id': '695aa705-9c99-41b3-983b-6bbc25d36d45', 'key': 'spatial_parameters', 'value': '[{"equivalent_scale": "100x100", "spatial_reference_system": "EPSG: 4326", "spatial_representation_type": "001"}]', 'state': 'active'}, {'id': '5008847c-10c4-4ccf-9219-ca2dae7d1ea3', 'package_id': '695aa705-9c99-41b3-983b-6bbc25d36d45', 'key': 'topic_and_saeoss_themes', 'value': '[{"iso_topic_category": "imageryBaseMapsEarthCover"}]', 'state': 'active'}], 'groups': [], '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'}, 'relationships_as_subject': [], 'relationships_as_object': [], 'isopen': False, 'license_title': None}] |