| packages |
[{'author': None, 'author_email': None, 'creator_user_id': '51ab5002-5dc5-4fdc-a0ab-ce13592d0d6f', 'doi': '', 'featured': 'false', 'id': 'c98c5ffa-b500-4da2-92d8-e6e634e87a0a', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'The 2025 CBERS 4A Wide Field Imager (WPM) acquired directly and processed in-house by South Africa national Space Agency, in Pretoria, South Africa. The CBGERS4A acquired between 04 January and 29 December 2025, with a spatial resolution of 8m multispectral 4 bands (RGB, NIR) and 2m panchromatic, processed to Level2B and provided in GeoTiff format.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2026-02-02T12:56:53.065059', 'metadata_date': '2026-02-02T00:00', 'metadata_modified': '2026-02-02T12:59:12.058630', 'metadata_thumbnail': '', 'name': '2025-cbers-4a-', 'notes': 'The 2025 CBERS 4A Wide Field Imager (WPM) acquired directly and processed in-house by South Africa national Space Agency, in Pretoria, South Africa. The CBGERS4A acquired between 04 January and 29 December 2025, with a spatial resolution of 8m multispectral 4 bands (RGB, NIR) and 2m panchromatic, processed to Level2B and provided in GeoTiff format.', 'num_resources': 1, 'num_tags': 1, 'organization': {'id': 'a959e782-51ce-4adc-b84d-f89961445cdb', 'name': 'sansa', 'title': 'SANSA', 'type': 'organization', 'description': 'SANSA was created to promote the use of space and strengthen cooperation in space-related activities while fostering research in space science, advancing scientific engineering through developing human capital, and supporting industrial development in space technologies. The research and work carried out at SANSA focuses on Earth observation, space science, space engineering and space operations. Much of this work involves monitoring the Earth for policy and decision making, resource and disaster management, food security and national security. SANSA also provides state-of-the-art facilities to monitor space weather, provide launch support and data downloads as well as supporting the growth of the local space industry.', 'image_url': '2025-07-31-061500.854757SANSALogo.jpg', 'created': '2025-04-01T13:27:03.699924', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'a959e782-51ce-4adc-b84d-f89961445cdb', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.4699, -34.8212], [32.8931, -34.8212], [32.8931, -22.1265], [16.4699, -22.1265], [16.4699, -34.8212]]]}', 'state': 'active', 'title': '2025 CBERS 4A', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'customers-eo@sansa.org.za', 'individual_name': "SANSA's customer services", 'position_name': 'Customer services', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': '0123345024'}], 'dataset_reference_date': [{'reference': '2026-02-02T14:52', 'reference_date_type': 1}], 'distribution_format': [{'name': 'PDF,xml', 'version': '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': 'Catalogue Service', 'description': 5, 'linkage': 'https://catalogue.sansa.org.za', 'name': "SANSA's customer services"}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2026-02-02T12:58:34.722073', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': 'baea43dc-cbcd-4ac3-aed3-464f53763855', 'last_modified': None, 'metadata_modified': '2026-02-02T12:58:34.632601', 'mimetype': None, 'mimetype_inner': None, 'name': '', 'package_id': 'c98c5ffa-b500-4da2-92d8-e6e634e87a0a', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'http://catalogue.sansa.org.za/', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': 'customers-eo@sansa.org.za', 'individual_name': 'South African National Space Agency', 'position_name': 'Earth Observation', 'role': 'owner', 'website': 'www.sansa.org.za'}], 'responsible_party_contact_address': [{'administrative_area': 'Gauteng', 'city': 'Pretoria', 'delivery_point': 'Building 10, CSIR Campus, Meiring Naude Road, Brummeria ', 'postal_code': ' 0184'}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': '0123345024'}], 'spatial_parameters': [{'equivalent_scale': '1:2000', 'spatial_reference_system': 'EPSG:4326', 'spatial_representation_type': '007'}], 'tags': [{'display_name': 'Imagery-Basemaps-Earth Cover', 'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'imageryBaseMapsEarthCover'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []}, {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/SAEON.FYNBOS.10000001', 'featured': 'false', 'id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'A climate-aided Bayesian kriging approach is used to interpolate 20 years of daily meteorological observations (maximum and minimum temperature and precipitation) to a 1 arc-minute grid for the Cape Floristic Region of South Africa. Independent validation data revealed overall predictive performance of the interpolation to have R2 values of 0.90, 0.85, and 0.59 for maximum temperature, minimum temperature, and precipitation, respectively. A suite of ecologically-relevant climate metrics that include the uncertainty introduced by the interpolation were then generated. By providing the high resolution climate metric surfaces and uncertainties, this work facilitates richer and more robust predictive modeling in ecology and bio- geography. These data can be incorporated into ecological models to propagate the uncertainties through to the final predictions', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-16T11:32:14.831108', 'metadata_date': '2016-01-01T00:00', 'metadata_modified': '2025-10-17T09:38:59.712167', 'metadata_thumbnail': '', 'name': 'interpolated_observed_weather_data_for_the_cape_floristic_region', 'notes': 'Conservation of biodiversity demands comprehension of evolutionary and ecological patterns and processes that occur over vast spatial and temporal scales. A central goal of ecology is to understand the climatic factors that control ecological processes and this has become even more important in the face of climate change. Especially at global scales, there can be enormous uncertainty in underlying environmental data used to explain ecological processes, but that uncertainty is rarely quantified or incorporated into ecological models. In this study a climate-aided Bayesian kriging approach is used to interpolate 20 years of daily meteorological observations (maximum and minimum temperature and precipitation) to a 1 arc-minute grid for the Cape Floristic Region of South Africa. Independent validation data revealed overall predictive performance of the interpolation to have R2 values of 0.90, 0.85, and 0.59 for maximum temperature, minimum temperature, and precipitation, respectively. A suite of ecologically-relevant climate metrics that include the uncertainty introduced by the interpolation were then generated. By providing the high resolution climate metric surfaces and uncertainties, this work facilitates richer and more robust predictive modeling in ecology and bio- geography. These data can be incorporated into ecological models to propagate the uncertainties through to the final predictions.', 'num_resources': 1, 'num_tags': 6, '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": [[[17.8, -34.9], [25.8, -34.9], [25.8, -30.9], [17.8, -30.9], [17.8, -34.9]]]}', 'state': 'active', 'title': 'Interpolated observed weather data for the Cape Floristic Region', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'adamw@buffalo.edu', 'individual_name': 'Adam Wilson', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2016-01-01T00:00', 'reference_date_type': 2}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'online_resource': [{'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'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-16T11:36:41.735418', 'description': '', 'format': 'GEOMAP', 'format_version': '', 'hash': '', 'id': '7f7a6c95-c24a-417f-be2c-225aaed7e3c3', 'last_modified': None, 'metadata_modified': '2025-10-16T11:36:41.725285', 'mimetype': None, 'mimetype_inner': None, 'name': 'Interpolated observed weather data for the Cape Floristic Region', 'package_id': 'e66d4a36-8db1-4f93-9236-05523d2ad639', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://catalogue.saeon.ac.za/records/10.15493/SAEON.FYNBOS.10000001', 'url_type': None}], 'responsible_party': [{'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'}], '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': 'Climate science', 'id': 'b63237e7-b9c9-4d92-9a20-13bc7a956a76', 'name': 'Climate science', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Climatology-Meteorology-Atmosphere', 'id': '48ad3286-3db6-4060-946b-92eaf1fc126d', 'name': 'Climatology-Meteorology-Atmosphere', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'atmosphere dynamics', 'id': 'd80be9c9-a5ca-418e-9e5b-a3a6dd7a3b44', 'name': 'atmosphere dynamics', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'climatology', 'id': '68f2471a-c336-4fc9-afd2-d252d6c41b7c', 'name': 'climatology', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'ecology', 'id': 'd8a5a11d-c929-4410-a2b3-65aa6b9d8263', 'name': 'ecology', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'environmental science', 'id': '30cb3d17-47d2-409e-9026-2c95191db59e', 'name': 'environmental science', '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.10000074', 'featured': 'false', 'id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': '"Data was derived from the following sources: *The extent of sugar cane cultivation was determined from digitisation of maps published in Gers (2003). * This extent was correlated with two additional sources: crop extent published by DAFF (2014), which excludes sugar cane production and could be used as a verification of extent, and Land Use data (FAO, 2011), which could be used to verify the finer extent of cultivation. * Sugar cane theoretical yields were applied from Schulze, Hull, and Maharaj (2007).', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-25T13:51:51.505431', 'metadata_date': '2015-01-01T00:00', 'metadata_modified': '2025-10-17T09:37:57.386121', 'metadata_thumbnail': '', 'name': 'availability_of_sugar_cane_field_residues', 'notes': 'Data was derived from the following sources: *The extent of sugar cane cultivation was determined from digitisation of maps published in Gers (2003). * This extent was correlated with two additional sources: crop extent published by DAFF (2014), which excludes sugar cane production and could be used as a verification of extent, and Land Use data (FAO, 2011), which could be used to verify the finer extent of cultivation. * Sugar cane theoretical yields were applied from Schulze, Hull, and Maharaj (2007). * The total area and sugar cane production obtained from the above was correlated with published production figures (DAFF, 2014) and good correlation obtained - calculated sugar cane production of 22.5 Mt/a vs. published production in 2013/14 of 21.3 Mt/a. * Ratios of bagasse, sugar, and residue production was calculated from ratios in Hugo (2014) .', 'num_resources': 1, 'num_tags': 14, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.45214, -34.8341698957], [32.8925317467, -34.8341698957], [32.8925317467, -22.12503], [16.45214, -22.12503], [16.45214, -34.8341698957]]]}', 'state': 'active', 'title': 'Availability of Sugar Cane Field Residues', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'Wim Hugo', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2015-01-01T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000074', 'name': 'Availability of Sugar Cane Field Residues'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-09-25T13:52:53.602259', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': '736c3288-9873-40c9-b235-d3694cd201f3', 'last_modified': None, 'metadata_modified': '2025-09-25T13:52:53.567175', 'mimetype': None, 'mimetype_inner': None, 'name': 'Availability of Sugar Cane Field Residues', 'package_id': '653bf206-60b4-426f-8031-857ed4ffffeb', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://repository.saeon.ac.za/index.php/s/aa5pAfNjzabbcjF', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'South African Environmental Observation Network', 'position_name': 'Organisation', 'role': 'publisher', 'website': 'https://catalogue.saeon.ac.za/'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': 'Pretoria', 'delivery_point': '', 'postal_code': ''}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Bioenergy', 'id': 'ca34cd72-b5a2-4f3f-81d8-61b65cd42ef8', 'name': 'Bioenergy', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Commercial crop system', 'id': '7212f987-9a76-4d73-bf13-da41d2c5a0b1', 'name': 'Commercial crop system', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Energy', 'id': '2e773657-95fa-4b64-9488-bb790e61bcbf', 'name': 'Energy', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Farming', 'id': '0a7dc286-a500-49de-9647-3bbb4e46a0f5', 'name': 'Farming', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'agriculture', 'id': 'e9c2ba74-5eec-405f-bf77-5b0483eae3bf', 'name': 'agriculture', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'bagasse', 'id': '5d397292-d46b-4ffe-9868-986b0a4737e1', 'name': 'bagasse', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'biomass', 'id': '3599fc01-138e-449a-8618-4697ace9ddfe', 'name': 'biomass', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'fibre', 'id': 'b1727c3e-a49f-4b2e-b20f-3c339941f158', 'name': 'fibre', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'field residue', 'id': 'e3812ca4-f53d-4e3c-991b-93e27a697c52', 'name': 'field residue', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'ligno-cellulose', 'id': '1044ebdf-3fbd-400a-840a-691c46a9d0f6', 'name': 'ligno-cellulose', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'potential', 'id': '72c85e81-8819-41f9-9327-fb5418e73e31', 'name': 'potential', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'residue', 'id': '00467143-d7fa-48c1-b70f-20667c4b9fbe', 'name': 'residue', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'straw', 'id': '6fb6009f-3480-4660-a3f9-eb0e3724045a', 'name': 'straw', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'sugar cane', 'id': '8183afee-04eb-4a1b-94be-0d9cbb8a6d2c', 'name': 'sugar cane', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'farming'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []}, {'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. 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.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T07:12:59.317624', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T09:37:29.037486', 'metadata_thumbnail': '', 'name': 'serviced_and_unserviced_waste_water_organic_component', 'notes': 'Data was derived from the following sources: * CSIR was commissioned by the BioEnergy Atlas to assemble known data on solid waste production from household and commercial sources in South Africa. This data was only available at provincial aggregate level, and derives from statistics published by the Department of Water and Sanitation, or recent studies funded by them. * Data from StatsSA (Census 2011) enabled the calculation of number of households within each planning zone that were serviced at the time, with the balance unserviced. * SAEON developed a model from national and international statistics linking waste water production and composition to household income. 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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This data was collected under the ACEP SMART ZONES MPA project (2021 – 2023) using the ACEP Geophysics and Mapping Platform.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-11T10:32:43.709966', 'metadata_date': '2023-01-27T00:00', 'metadata_modified': '2025-09-11T10:33:31.750216', 'metadata_thumbnail': '', 'name': 'pats', '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 the initiation of management of two brand new MPAs, against which long-term monitoring data can be compared to assess the effectiveness of the MPAs in achieving their objectives. The balanced sampling design is such that it will also initiate a “natural experiment” that over time will investigate the effect of no-take zones on fish diversity and abundance, benthic community structure, and trophic complexity. This will also enable the determination of the value of the MPA for fisheries sustainability support and resilience to disturbances caused by extrinsic factors such as pollution or climate change. Additionally, this study will assess whether the zonation plan provides for representation of all reef and canyon types within each zone or if there is unbalanced coverage for certain reefs and in certain zones. This is important to assess at the initiation of the MPA, especially to ensure that the interpretation of monitoring results in future, which compare ecosystems and fish on reefs and canyons in the mesophotic zone, are not flawed by natural differences from the outset due to the selection of zone boundaries.", 'num_resources': 1, 'num_tags': 1, 'organization': {'id': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'title': 'NRF-SAIAB', 'type': 'organization', 'description': 'The South African Institute for Aquatic Biodiversity (NRF-SAIAB) is a national facility of the National Research Foundation (NRF). The NRF-SAIAB contributes to two National Operation Phakisa Labs through which South Africa has identified the potential to develop the Biodiversity Economy and the Blue Economy.', 'image_url': '2025-09-11-081630.579961SouthAfricanInstituteforAquaticBiodiversitylogo.svg.png', 'created': '2025-09-11T08:16:30.612011', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[32.008933, -29.196799], [32.063158, -29.196799], [32.063158, -29.135214], [32.008933, -29.135214], [32.008933, -29.196799]]]}', 'state': 'active', 'title': 'Bathymetry data collected from Pats Paradise, March 2022', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'T.Wanda@saiab.nrf.ac.za', 'individual_name': 'Thamsanqa Wanda', 'position_name': 'Geologist', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2022-02-20T00:00', 'reference_date_type': 1}, {'reference': '2022-03-20T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.0'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'metadata_standard': [{'name': 'SANS 1878-1:2011', 'version': '1.1'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'http://doi.org/10.15493/NRF.SAIAB.20232513', 'name': 'Bathymetry data collected from Pats Paradise, March 2022'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-09-11T10:32:55.944000', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': 'aebac4b9-3f58-449b-938a-2dc2f3bd9f85', 'last_modified': None, 'metadata_modified': '2025-09-11T10:32:55.932369', 'mimetype': None, 'mimetype_inner': None, 'name': 'Bathymetry data collected from Pats Paradise, March 2022', 'package_id': '22183bdd-8add-4304-8a87-ce0a41d439a0', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'http://doi.org/10.15493/NRF.SAIAB.20232513', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'South African Institute for Aquatic Biodiversity', 'position_name': 'SAIAB', 'role': 'owner', 'website': 'https://saiab.ac.za/'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': '', 'delivery_point': '', 'postal_code': ''}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'NA', 'spatial_reference_system': 'WGS:84', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Oceans', 'id': '2547e672-a968-4048-814b-29a682525254', 'name': 'Oceans', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'oceans'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []}] |