| packages |
[{'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/BEA.DATA.10000080', 'featured': 'false', 'id': '964d2862-b467-40db-bb50-aaaa88880934', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': '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).', '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'}], 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'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': '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 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SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.45214, -34.8341698957], [32.8925317467, -34.8341698957], [32.8925317467, -22.12503], [16.45214, -22.12503], [16.45214, -34.8341698957]]]}', 'state': 'active', 'title': 'Availability of Sugar Cane Field Residues', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'Wim Hugo', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2015-01-01T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 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None}], 'responsible_party': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'South African Environmental Observation Network', 'position_name': 'Organisation', 'role': 'publisher', 'website': 'https://catalogue.saeon.ac.za/'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': 'Pretoria', 'delivery_point': '', 'postal_code': ''}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Bioenergy', 'id': 'ca34cd72-b5a2-4f3f-81d8-61b65cd42ef8', 'name': 'Bioenergy', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Commercial crop system', 'id': '7212f987-9a76-4d73-bf13-da41d2c5a0b1', 'name': 'Commercial crop system', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Energy', 'id': '2e773657-95fa-4b64-9488-bb790e61bcbf', 'name': 'Energy', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Farming', 'id': '0a7dc286-a500-49de-9647-3bbb4e46a0f5', 'name': 'Farming', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'agriculture', 'id': 'e9c2ba74-5eec-405f-bf77-5b0483eae3bf', 'name': 'agriculture', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'bagasse', 'id': '5d397292-d46b-4ffe-9868-986b0a4737e1', 'name': 'bagasse', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'biomass', 'id': '3599fc01-138e-449a-8618-4697ace9ddfe', 'name': 'biomass', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'fibre', 'id': 'b1727c3e-a49f-4b2e-b20f-3c339941f158', 'name': 'fibre', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'field residue', 'id': 'e3812ca4-f53d-4e3c-991b-93e27a697c52', 'name': 'field residue', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'ligno-cellulose', 'id': '1044ebdf-3fbd-400a-840a-691c46a9d0f6', 'name': 'ligno-cellulose', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'potential', 'id': '72c85e81-8819-41f9-9327-fb5418e73e31', 'name': 'potential', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'residue', 'id': '00467143-d7fa-48c1-b70f-20667c4b9fbe', 'name': 'residue', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'straw', 'id': '6fb6009f-3480-4660-a3f9-eb0e3724045a', 'name': 'straw', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'sugar cane', 'id': '8183afee-04eb-4a1b-94be-0d9cbb8a6d2c', 'name': 'sugar cane', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'farming'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []}, {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/BEA.DATA.10000082', 'featured': 'false', 'id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'Data was derived from the following sources: * CSIR was commissioned by the BioEnergy Atlas to assemble known data on solid waste production from household and commercial sources in South Africa. 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. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.45214, -34.8341698957], [32.8925317467, -34.8341698957], [32.8925317467, -22.12503], [16.45214, -22.12503], [16.45214, -34.8341698957]]]}', 'state': 'active', 'title': 'Serviced and Unserviced Waste Water - Organic Component', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'Wim Hugo', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2015-01-01T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000082', 'name': 'Serviced and Unserviced Waste Water - Organic Component'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-17T07:15:03.812737', 'description': '', 'format': 'GEOMAP', 'format_version': '', 'hash': '', 'id': 'b47f179f-b705-4c67-9f6f-654d5799dd09', 'last_modified': None, 'metadata_modified': '2025-10-17T07:15:03.803797', 'mimetype': None, 'mimetype_inner': None, 'name': 'Serviced and Unserviced Waste Water - Organic Component', 'package_id': '40c74018-b618-40d0-bdfb-21db03dc6f41', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000082', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'South African Environmental Observation Network', 'position_name': 'Organisation', 'role': 'resource_provider', 'website': 'catalogue.saeon.ac.za'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': '', 'delivery_point': '', 'postal_code': ''}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Environment', 'id': 'ad6bb22c-77f7-4d69-81bb-a19bc4bceb95', 'name': 'Environment', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Hazards and vulnerability', 'id': '5829ec05-94f5-4147-8521-d1c6a37510e3', 'name': 'Hazards and vulnerability', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Municipalities', 'id': 'cbad33a1-1960-4cf3-a4e6-1d65230faa9d', 'name': 'Municipalities', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Settlement', 'id': '76b43ead-57a0-4dd5-91ab-fcde5a799ad4', 'name': 'Settlement', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Socio-economic', 'id': '1ae6c2fa-2640-4c76-a1e7-a68f7a113248', 'name': 'Socio-economic', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'biomass', 'id': '3599fc01-138e-449a-8618-4697ace9ddfe', 'name': 'biomass', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'organic waste', 'id': '66132173-2f04-40e0-99d5-d5e601e67fda', 'name': 'organic waste', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'waste water', 'id': '562cc66c-eb30-4566-985f-7c07453dfd89', 'name': 'waste water', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'environment'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []}, {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/BEA.DATA.10000008', 'featured': 'false', 'id': '0894e55b-3e79-4b6e-b71d-5992df7efa44', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'The dataset shows Acacia mearnsii - bark yield estimates allocated to mesozones. 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', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.452, -34.8341698957], [32.8925317467, -34.8341698957], [32.8925317467, -22.12503], [16.452, -22.12503], [16.452, -34.8341698957]]]}', 'state': 'active', 'title': 'Infrastructure Assessments', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'Wim Hugo', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2015-01-01T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'metadata_standard': [{'name': 'SANS 1878-1:2011', 'version': '1.1'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000060', 'name': 'Infrastructure Assessments'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-16T14:43:34.437295', 'description': '', 'format': 'GEOMAP', 'format_version': '', 'hash': '', 'id': '3cd55fec-5252-49d0-9681-0f30991fd80b', 'last_modified': None, 'metadata_modified': '2025-10-16T14:43:34.427997', 'mimetype': None, 'mimetype_inner': None, 'name': 'Infrastructure Assessments', 'package_id': '3754a61d-e1e2-4cf6-a830-b8481b888581', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000060', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'South African Environmental Observation Network', 'position_name': 'Organisation', 'role': 'resource_provider', 'website': 'catalogue.saeon.ac.za'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': '', 'delivery_point': '', 'postal_code': ''}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Demography', 'id': 'ccd1fbaf-5fe7-4784-a643-b6f498578432', 'name': 'Demography', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Economic vulnerability', 'id': '2174dd69-d0cf-4f56-8a32-f527bfb3eb68', 'name': 'Economic vulnerability', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Environment', 'id': 'ad6bb22c-77f7-4d69-81bb-a19bc4bceb95', 'name': 'Environment', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Settlement', 'id': '76b43ead-57a0-4dd5-91ab-fcde5a799ad4', 'name': 'Settlement', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Socio-economic', 'id': '1ae6c2fa-2640-4c76-a1e7-a68f7a113248', 'name': 'Socio-economic', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'biomass potential', 'id': 'c536ff24-f315-44b0-a86c-ceeb3d7ce9ce', 'name': 'biomass potential', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'economic activity', 'id': '100a8a2a-70eb-498d-9c1b-9fa723baf80b', 'name': 'economic activity', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'infrastructure', 'id': '280c04f7-fe83-4294-8167-f2526f7c4a1f', 'name': 'infrastructure', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'population', 'id': 'f3244691-7bd3-4de1-a346-92f132d043ee', 'name': 'population', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'pressure', 'id': '4036c4e1-0924-4266-899c-fef8fdc97411', 'name': 'pressure', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'environment'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []}, {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/BEA.DATA.10000099', 'featured': 'false', 'id': '008cf5d6-83c0-4cfa-b833-7b04808d84c4', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'Landcover data entries were obtained from Landsat satellite images used to generate landcover information into 72 landcover types; 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The NRF-SAIAB contributes to two National Operation Phakisa Labs through which South Africa has identified the potential to develop the Biodiversity Economy and the Blue Economy.', 'image_url': '2025-09-11-081630.579961SouthAfricanInstituteforAquaticBiodiversitylogo.svg.png', 'created': '2025-09-11T08:16:30.612011', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[31.52826, -29.426584], [31.577445, -29.426584], [31.577445, -29.372258], [31.52826, -29.372258], [31.52826, -29.426584]]]}', 'state': 'active', 'title': 'Bathymetry data collected from Zinkwazi, November 2021', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'T.Wanda@saiab.nrf.ac.za', 'individual_name': 'Thamsanqa Wanda', 'position_name': 'Geologist', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2023-01-27T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'http://doi.org/10.15493/NRF.SAIAB.20232511', 'name': 'bathymetry_data_collected_from_zinkwazi_november_2021'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-09-11T14:14:58.221011', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': 'a7c104c4-a7b7-4a0f-9ddc-3e2daf60f617', 'last_modified': None, 'metadata_modified': '2025-09-12T08:41:16.588713', 'mimetype': None, 'mimetype_inner': None, 'name': 'Bathymetry data collected from Zinkwazi, November 2021', 'package_id': 'ed816ac3-0461-4c85-b09f-16b54b0ad3f3', 'position': 0, 'resource_type': None, 'size': None, 'state': 'active', 'url': 'https://catalogue.saeon.ac.za/list/records/10.15493/NRF.SAIAB.20232511?search=68c2b42da71d058a420b0236&disableSidebar=false&showSearchBar=true', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'South African Institute for Aquatic Biodiversity ', 'position_name': 'SAIAB', 'role': 'owner', 'website': 'https://nrfsaiab.wixsite.com/gemapocean'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': 'Makhanda', 'delivery_point': 'Somerset Street', 'postal_code': '6139'}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Oceans', 'id': '2547e672-a968-4048-814b-29a682525254', 'name': 'Oceans', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'SGB systems', 'id': 'e90bd4d4-da24-418e-a5b1-f9d0cf063793', 'name': 'SGB systems', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'bathymetry', 'id': '84d64091-149a-4cd4-bf97-f828e908fe76', 'name': 'bathymetry', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'hydrographic', 'id': '903bf930-556a-402c-a784-3c57de8bc65b', 'name': 'hydrographic', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'multibeam bathymetry', 'id': '1fe9236d-3571-4fe0-9305-f1b40579e991', 'name': 'multibeam bathymetry', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'reson', 'id': '4ff1fff4-deb9-4256-a9c0-f03802b2d0e7', 'name': 'reson', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'oceans'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []}, {'author': None, 'author_email': None, 'creator_user_id': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '10.15493/NRF.SAIAB.20232516', 'featured': 'false', 'id': '209cd0fd-d80b-492e-969e-e8223d010104', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'This dataset consists of locations below the surface of the water where the depth of water is precisely known relative to MSL. Sessile and mobile epibenthic invertebrates are organisms that are part of the benthic community.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-11T14:21:53.400156', 'metadata_date': '2023-01-27T00:00', 'metadata_modified': '2025-09-12T08:29:23.503760', 'metadata_thumbnail': '', 'name': 'bathymetry_data_collected_from_mobile_epibenthic_invertebrate_stations_november_2022', 'notes': "This dataset forms part of the South African Institute for Aquatic Biodiversity (SAIAB)'s collection of Bathymetry data for the African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA. This dataset is used for seabed analysis, the interpretation and creation of derivatives for geomorphological and statistical analysis in comparison with biological metrics. This dataset consists of locations below the surface of the water where the depth of water is precisely known relative to MSL. Sessile and mobile epibenthic invertebrates are organisms that are part of the benthic community. These organisms perform crucial roles and ecosystem services that benefit the benthic community and marine environment as a whole. These organisms’ distribution is affected by many abiotic and biotic factors. This study aims to determine the distribution of both the mobile and sessile epibenthic invertebrates and to investigate the relationship between the mobile and sessile epibenthic invertebrates. The objectives are to measure the abundance and composition of both the mobile and sessile epibenthic invertebrates found on the inner continental shelf of Umhlanga, KwaZulu-Natal and to analyze the statistical relationship between the sessile epibenthic assemblage data and the mobile epibenthic assemblage data. These aims and objectives will be satisfied by sampling on the Umhlanga coast using a drop camera and a baited drop camera. 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