| packages |
[{'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/BEA.DATA.250320-9', 'featured': 'false', 'id': 'e780d0b4-b842-432d-bf3d-702824787c71', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': '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.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T07:30:51.058226', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T07:49:01.839247', 'metadata_thumbnail': '', 'name': 'harvested_forestry_residue', '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.', 'num_resources': 1, 'num_tags': 9, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). 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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).', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-11T12:56:09.047921', 'metadata_date': '2023-01-25T13:26', 'metadata_modified': '2025-09-12T09:09:24.142438', 'metadata_thumbnail': '', 'name': 'bathymetry_data_for_seascapes_december_2022', 'notes': "This dataset forms part of the the South African Institute for Aquatic Biodiversity (SAIAB)'s collection of Bathymetry data for the African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA. This hydrographic survey covers 18 square km and is part of the SeaScapes 2022 project. The dataset consists of locations below the surface of the water. Habitat degradation and loss of structural complexity are major threats to coastal ecosystems, with impacts associated with climate change placing additional pressure on these valuable ecosystems. Seascape ecology (which focuses on mosaics of spatially discrete and recognisable patches of habitat) is an emerging science that strives to understand spatial pattern-process linkages in marine environments. Understanding multi-scale linkages between seascape structure, function and change can better support sustainable ocean development, biodiversity protection and help to understand the consequences of human activity. A multi-disciplinary approach will be undertaken within shallow coastal waters of the south coast of South Africa in two different coastal seascapes: 1) Swartkops Estuary to Maitlands Estuary (incorporating the lower reaches of the Swartkops Estuary and nearshore from 1-30 m) and 2) Aston Bay to Oyster Bay (incorporating the lower reaches of the Kromme Estuary and nearshore from 1-30 m). This project aims to 1) map and model seascape spatial structure through the collection of high-resolution georeferenced imagery; 2) study the impact of climate change in seascapes (seascape change), with a focus on macrophytes (seagrass and seaweed) and associated organisms as well as the role that macrophytes may have in mitigating the effects of ocean acidification; and 3) assess connectivity of mobile organisms (fish) within seascapes and between shallow nursery seascapes (<7 m) and deeper adult habitat (reef deeper than 7 m). These data are combined from MB11_2022 and MB12_2022 surveys. This dataset is used to map, delineate and classify the seabed for the purpose of classifying habitats, ecosystems, understanding spatial pattern-process linkages in marine environments (biological and geological).", 'num_resources': 1, 'num_tags': 1, 'organization': {'id': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'title': 'NRF-SAIAB', 'type': 'organization', 'description': 'The South African Institute for Aquatic Biodiversity (NRF-SAIAB) is a national facility of the National Research Foundation (NRF). 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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.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-16T10:39:05.866061', 'metadata_date': '2024-07-03T00:00', 'metadata_modified': '2025-10-16T14:33:13.736220', 'metadata_thumbnail': '', 'name': 'digital_soil_mapping_for_hydropedological_purposes_of_the_cathedral_peak_research_catchments', 'notes': 'Conventional soil mapping in montane environments is often a difficult and laborious task given access difficulties, the topography of the environment and the time required to conduct the field investigation. Utilising a remote sensing tool, such as the Arc Soil Inference Engine (ArcSIE) to map soils in these locations can add valuable information for land management. The ArcSIE tool was utilised in the Cathedral Peak research catchments, in KwaZulu-Natal, South Africa with the aim of creating an understanding of the hydropedological behaviour of the soils of three research catchments. A rule-based approach was first undertaken, followed by a case-based validation. A fuzzy membership map of each soil group was produced which integrated all inputs. The overall Kappa coefficient for Cathedral Peak-III is 0.57, for Cathedral Peak-VI is 0.59, and for Cathedral Peak-IX is 0.74. The hydropedological soil group maps achieved an appropriate representation of the complex nature of the soil-landscape relationship, with changes between one soil group and the next being gradual and continuous. Accuracies and inaccuracies within the fuzzy-membership maps can be quantified, allowing for a confidence rating in the use of these maps. These maps can therefore be used in further applications in water and land management for the area.', 'num_resources': 1, 'num_tags': 5, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[29.1913018175082, -29.0085731718718], [29.2730807105465, -29.0085731718718], [29.2730807105465, -28.9799008295305], [29.1913018175082, -28.9799008295305], [29.1913018175082, -29.0085731718718]]]}', 'state': 'active', 'title': 'Digital soil mapping for hydropedological purposes of the Cathedral Peak research catchments, South Africa', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'Paul Gordijn', 'position_name': 'Field Technician', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2024-07-03T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'metadata_standard': [{'name': 'SANS 1878-1:2011', 'version': '1.1'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'https://catalogue.saeon.ac.za/records/10.15493/SAEON.GFW.07042024', 'name': 'Digital soil mapping for hydropedological purposes of the Cathedral Peak research catchments, South Africa'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-16T10:40:07.131567', 'description': '', 'format': 'SHP', 'format_version': '', 'hash': '', 'id': 'a82848d0-2741-42c4-8561-8480ff0eb18d', 'last_modified': None, 'metadata_modified': '2025-10-16T10:41:10.728592', 'mimetype': None, 'mimetype_inner': None, 'name': 'Digital soil mapping for hydropedological purposes of the Cathedral Peak research catchments, South Africa', 'package_id': 'e702984c-f2a0-4ff1-9462-7b9fc53e5dc3', 'position': 0, 'resource_type': None, 'size': None, 'state': 'active', 'url': 'https://catalogue.saeon.ac.za/records/10.15493/SAEON.GFW.07042024', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'South African Environmental Observation Network', 'position_name': 'SAEON', 'role': 'resource_provider', 'website': 'catalogue.saeon.ac.za'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': '', 'delivery_point': '', 'postal_code': ''}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Imagery-Basemaps-Earth Cover', 'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'digital soil mapping', 'id': '50ed18d2-f407-4cf5-b6a0-2fe04bf1bb98', 'name': 'digital soil mapping', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'hydropedology', 'id': 'eb38531c-24f3-49be-996a-2d8c60be898a', 'name': 'hydropedology', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'remote sensing', 'id': 'ff1b60ee-4c4d-44f9-89bc-8383e5bf5d96', 'name': 'remote sensing', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'soil', 'id': '90ec532c-460b-42c1-9a05-8b6e0be51257', 'name': 'soil', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'imageryBaseMapsEarthCover'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []}, {'author': None, 'author_email': None, 'creator_user_id': 'edabd58a-206b-4837-ae44-ff17c126fe88', 'doi': '', 'featured': 'false', 'id': 'a5654c62-a9d6-48d3-a65c-77a139a75990', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'This SACAD Geodatabase is a product that is extracted from the Protected and Conserved Areas (PACA) geodatabase. The PACA SQL geodatabase is updated and maintained daily. SACAD extractions are done in the last week of each quarter.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-07-29T13:23:52.135505', 'metadata_date': '2025-06-23T00:00', 'metadata_modified': '2025-07-29T13:24:50.308382', 'metadata_thumbnail': '', 'name': 'sacad_south_africa_conservation_areas_database_quarter1_2025', 'notes': 'The South African Conservation Areas Database (SACAD) contains spatial data for the conservation estate of South Africa. It includes spatial and attribute information for both formally protected areas and areas that have less formal protection. Data is collected by parcels which are aggregated to protected area level. Only outer boundaries are defined in this public release.\r\n\r\nSACAD is updated on a continuous basis. 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The PACA SQL geodatabase is updated and maintained daily. SAPAD extractions are done in the last week of each quarter.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-07-29T13:06:03.641480', 'metadata_date': '2025-06-03T00:00', 'metadata_modified': '2025-07-29T13:09:48.944780', 'metadata_thumbnail': '', 'name': 'sapad_south_africa_protected_areas_database_quarter1_2025', 'notes': 'The South African Protected Areas Database (SAPAD) contains spatial data for the conservation estate of South Africa. It includes spatial and attribute information for both formally protected areas and areas that have less formal protection. Data is collected by parcels which are aggregated to protected area level. Only outer boundaries are defined in this public release.\r\n\r\nSAPAD is updated on a continuous basis. 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The PACA SQL geodatabase is updated and maintained on a daily basis. SACAD extractions are done in the last week of each quarter.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-07-29T08:23:38.453575', 'metadata_date': '2021-11-25T00:00', 'metadata_modified': '2025-07-29T13:08:55.754083', 'metadata_thumbnail': '', 'name': 'sacad_south_africa_conservation_areas_database', 'notes': 'The South African Conservation Areas Database (SACAD) contains spatial data for the conservation estate of South Africa. It includes spatial and attribute information for both formally protected areas and areas that have less formal protection. Data is collected by parcels which are aggregated to protected area level. Only outer boundaries are defined in this public release.\r\n\r\nSACAD is updated on a continuous basis. 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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).', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-16T14:18:41.544367', 'metadata_date': '2025-10-16T00:00', 'metadata_modified': '2025-10-17T09:39:40.740321', 'metadata_thumbnail': '', 'name': 'availability_of_exploitable_invasive_alien_plants', '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).', 'num_resources': 1, 'num_tags': 7, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.45214, -34.8341698957], [32.8925317467, -34.8341698957], [32.8925317467, -22.12503], [16.45214, -22.12503], [16.45214, -34.8341698957]]]}', 'state': 'active', 'title': 'Availability of Exploitable Invasive Alien Plants', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'Wim Hugo', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2015-01-01T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000080', 'name': 'Availability of Exploitable Invasive Alien Plants'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-16T14:19:52.976646', 'description': '', 'format': 'GEOMAP', 'format_version': '', 'hash': '', 'id': '985a2370-8695-4a84-9428-5b46ddbaac86', 'last_modified': None, 'metadata_modified': '2025-10-16T14:19:52.966248', 'mimetype': None, 'mimetype_inner': None, 'name': 'Availability of Exploitable Invasive Alien Plants', 'package_id': '964d2862-b467-40db-bb50-aaaa88880934', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000080', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'South African Environmental Observation Network', 'position_name': 'Organisation', 'role': 'resource_provider', 'website': 'catalogue.saeon.ac.za'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': '', 'delivery_point': '', 'postal_code': ''}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Bioenergy', 'id': 'ca34cd72-b5a2-4f3f-81d8-61b65cd42ef8', 'name': 'Bioenergy', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Environment', 'id': 'ad6bb22c-77f7-4d69-81bb-a19bc4bceb95', 'name': 'Environment', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'biodiversity indices', 'id': 'c8ae6871-1f36-4892-8b69-60c34802240b', 'name': 'biodiversity indices', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'ecosystem services', 'id': '201e2748-5553-4e2e-990c-31ce75892d7f', 'name': 'ecosystem services', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'energy', 'id': '1722381a-3be4-46ea-9bcd-9d89526c69f3', 'name': 'energy', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'invasive alien plants', 'id': 'ae210958-a72f-4eed-b116-a4a41c90185a', 'name': 'invasive alien plants', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'surface water', 'id': '29359c57-f6fe-440c-81c0-f128049713fd', 'name': 'surface water', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'environment'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []}, {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '', 'featured': 'true', 'id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': '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.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-07-29T13:12:22.439409', 'metadata_date': '2025-07-29T00:00', 'metadata_modified': '2025-07-29T16:15:55.992836', 'metadata_thumbnail': '', 'name': 'south_african_renewable_energy_eia_application_database', 'notes': 'The South African Renewable Energy EIA Application Database contains spatial data for renewable energy applications for environmental authorisation. It includes spatial and attribute information for both active (in process and with valid authorisations) and non-active (lapsed or replaced by amendments) applications. Data is captured and managed on a parcels level as well as aggregated to the project level. Only outer boundaries are provided in this release.', 'num_resources': 3, 'num_tags': 2, 'organization': {'id': 'a08da558-64c6-4214-a930-c678f7300334', 'name': 'dffe', 'title': 'DFFE', 'type': 'organization', 'description': 'Department of Forestry, Fisheries and the Environment', 'image_url': '2025-07-28-071113.285804DFFE.png', 'created': '2025-07-28T07:11:13.295821', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'a08da558-64c6-4214-a930-c678f7300334', 'private': False, 'reference_system_additional_info': 'N/A', 'spatial': '{"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', 'title': 'South African Renewable Energy EIA Application Database', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'Reapplicationmap@dffe.gov.za', 'individual_name': 'Acting Director: Environmental Spatial Information', 'position_name': 'Acting Director', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2025-04-30T00:00', 'reference_date_type': 2}], 'distribution_format': [{'name': 'ArcGIS Pro 3.2.0. Shapefile (shp) file format', 'version': '3.2.0'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'usAscii', 'dataset_language': 'English', 'metadata_character_set': 'usAscii', 'metadata_language': 'English'}], 'online_resource': [{'application_profile': 'ArcGIS', 'description': 1, 'linkage': 'https://egis.environment.gov.za/', 'name': ''}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-07-29T13:14:53.815138', 'description': '', 'format': 'SHP', 'format_version': '3.2.0', 'hash': '', 'id': 'd9afac43-b7ba-4d49-a35b-36e96493fdab', 'last_modified': None, 'metadata_modified': '2025-07-29T13:31:49.411162', 'mimetype': None, 'mimetype_inner': None, 'name': 'South African renewable energy EIA application database', 'package_id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'position': 0, 'resource_type': None, 'size': None, 'state': 'active', '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', 'url_type': None}, {'cache_last_updated': None, 'cache_url': None, 'created': '2025-07-29T13:29:21.824555', 'description': '', 'format': 'url', 'format_version': '', 'hash': '', 'id': '79722abf-7969-4b26-bc22-64752afb94b4', 'last_modified': None, 'metadata_modified': '2025-07-29T13:32:37.358442', 'mimetype': None, 'mimetype_inner': None, 'name': 'Environmental Geographic Information System', 'package_id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'position': 1, 'resource_type': None, 'size': None, 'state': 'active', 'url': 'https://www.dffe.gov.za/egis', 'url_type': None}, {'cache_last_updated': None, 'cache_url': None, 'created': '2025-07-29T16:15:56.009553', 'description': '', 'format': 'PDF', 'format_version': '', 'hash': '', 'id': '6eaa026f-707d-4130-a4b7-d2e07604309f', 'last_modified': '2025-07-29T16:15:55.979905', 'metadata_modified': '2025-07-29T16:15:56.000180', 'mimetype': 'application/pdf', 'mimetype_inner': None, 'name': 'REEA 2025 Quarter 1 Metadata', 'package_id': 'eeac54f3-4f1d-4486-9c28-02aa24fe5298', 'position': 2, 'resource_type': 'other', 'size': 326659, 'state': 'active', 'upload_mode': 'single', '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', 'url_type': 'upload'}], 'responsible_party': [{'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/'}], 'responsible_party_contact_address': [{'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'}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': '+27 12 399 9295'}], 'spatial_parameters': [{'equivalent_scale': '1:5000', 'spatial_reference_system': 'EPSG:4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Climatology-Meteorology-Atmosphere', 'id': '48ad3286-3db6-4060-946b-92eaf1fc126d', 'name': 'Climatology-Meteorology-Atmosphere', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'climate energy and urbanization', 'id': '43c4a07a-15a1-4dfa-af2d-79115927edac', 'name': 'climate energy and urbanization', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'climatologyMeteorologyAtmosphere'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []}, {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/BEA.DATA.10000060', 'featured': 'false', 'id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'SAEON calculated a series of pressure maps to relate population, economic activity and biomass potential to the distribution of current and planned infrastructure. 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).', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-16T14:41:48.973692', 'metadata_date': '2025-10-16T00:00', 'metadata_modified': '2025-10-16T14:45:21.869326', 'metadata_thumbnail': '', 'name': 'infrastructure_assessments', 'notes': 'SAEON calculated a series of pressure maps to relate population, economic activity and biomass potential to the distribution of current and planned infrastructure. 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).', 'num_resources': 1, 'num_tags': 10, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.452, -34.8341698957], [32.8925317467, -34.8341698957], [32.8925317467, -22.12503], [16.452, -22.12503], [16.452, -34.8341698957]]]}', 'state': 'active', 'title': 'Infrastructure Assessments', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'Wim Hugo', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2015-01-01T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'metadata_standard': [{'name': 'SANS 1878-1:2011', 'version': '1.1'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000060', 'name': 'Infrastructure Assessments'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-16T14:43:34.437295', 'description': '', 'format': 'GEOMAP', 'format_version': '', 'hash': '', 'id': '3cd55fec-5252-49d0-9681-0f30991fd80b', 'last_modified': None, 'metadata_modified': '2025-10-16T14:43:34.427997', 'mimetype': None, 'mimetype_inner': None, 'name': 'Infrastructure Assessments', 'package_id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000060', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'South African Environmental Observation Network', 'position_name': 'Organisation', 'role': 'resource_provider', 'website': 'catalogue.saeon.ac.za'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': '', 'delivery_point': '', 'postal_code': ''}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Demography', 'id': 'ccd1fbaf-5fe7-4784-a643-b6f498578432', 'name': 'Demography', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Economic vulnerability', 'id': '2174dd69-d0cf-4f56-8a32-f527bfb3eb68', 'name': 'Economic vulnerability', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Environment', 'id': 'ad6bb22c-77f7-4d69-81bb-a19bc4bceb95', 'name': 'Environment', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Settlement', 'id': '76b43ead-57a0-4dd5-91ab-fcde5a799ad4', 'name': 'Settlement', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Socio-economic', 'id': '1ae6c2fa-2640-4c76-a1e7-a68f7a113248', 'name': 'Socio-economic', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'biomass potential', 'id': 'c536ff24-f315-44b0-a86c-ceeb3d7ce9ce', 'name': 'biomass potential', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'economic activity', 'id': '100a8a2a-70eb-498d-9c1b-9fa723baf80b', 'name': 'economic activity', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'infrastructure', 'id': '280c04f7-fe83-4294-8167-f2526f7c4a1f', 'name': 'infrastructure', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'population', 'id': 'f3244691-7bd3-4de1-a346-92f132d043ee', 'name': 'population', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'pressure', 'id': '4036c4e1-0924-4266-899c-fef8fdc97411', 'name': 'pressure', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'environment'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []}, {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/BEA.DATA.10000082', 'featured': 'false', 'id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'Data was derived from the following sources: * CSIR was commissioned by the BioEnergy Atlas to assemble known data on solid waste production from household and commercial sources in South Africa. 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This model was used, based on StatsSA Census Data, to estimate the organic component produced by each household per planning zone (mesozone) annually. * These factors were used to disaggregate provincial production data, resulting in a value for unserviced and serviced organic wastewater from household sources to be calculated for each mesozone.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T07:12:59.317624', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T09:37:29.037486', 'metadata_thumbnail': '', 'name': 'serviced_and_unserviced_waste_water_organic_component', 'notes': 'Data was derived from the following sources: * CSIR was commissioned by the BioEnergy Atlas to assemble known data on solid waste production from household and commercial sources in South Africa. 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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.', 'num_resources': 1, 'num_tags': 8, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. 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Sessile and mobile epibenthic invertebrates are organisms that are part of the benthic community.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-11T14:21:53.400156', 'metadata_date': '2023-01-27T00:00', 'metadata_modified': '2025-09-12T08:29:23.503760', 'metadata_thumbnail': '', 'name': 'bathymetry_data_collected_from_mobile_epibenthic_invertebrate_stations_november_2022', 'notes': "This dataset forms part of the South African Institute for Aquatic Biodiversity (SAIAB)'s collection of Bathymetry data for the African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA. This dataset is used for seabed analysis, the interpretation and creation of derivatives for geomorphological and statistical analysis in comparison with biological metrics. This dataset consists of locations below the surface of the water where the depth of water is precisely known relative to MSL. 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Multivariate tests were run on the abundance data and a Pearson’s correlation test for the relationship between the mobile and sessile epibenthic invertebrates. This study will provide new data on the presence and abundance of understudied mobile invertebrates inhabiting unconsolidated sediments of the KZN inner continental shelf and contribute to our understanding of the relationship between sessile and mobile invertebrate epifauna on the unconsolidated inner continental shelf. It will also test and establish the usefulness of a baited drop-camera for sampling epibenthic invertebrates.", 'num_resources': 1, 'num_tags': 6, 'organization': {'id': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'title': 'NRF-SAIAB', 'type': 'organization', 'description': 'The South African Institute for Aquatic Biodiversity (NRF-SAIAB) is a national facility of the National Research Foundation (NRF). 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