| packages |
[{'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. Yield estimates were derived from Schulze R.E. and Maharaj M. (2007) and then allocated to mesozones by combining with a base mesozone layer obtained from the CSIR Geospatial Analysis Platform (GAP). The map of climatically optimum growth areas shows the main potential areas for A. mearnsii to be in a strip along the coast of the Eastern Cape, parts of the midlands and northwest of KwaZulu-Natal and a strip in Mpumalanga, with smaller patches of climatically optimum areas elsewhere.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T09:32:50.896907', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T09:35:51.349560', 'metadata_thumbnail': '', 'name': 'acacia_mearnsii_bark_yield_estimates_per_mesozone', 'notes': 'The dataset shows Acacia mearnsii - bark yield estimates allocated to mesozones. Yield estimates were derived from Schulze R.E. and Maharaj M. (2007) and then allocated to mesozones by combining with a base mesozone layer obtained from the CSIR Geospatial Analysis Platform (GAP). The map of climatically optimum growth areas shows the main potential areas for A. mearnsii to be in a strip along the coast of the Eastern Cape, parts of the midlands and northwest of KwaZulu-Natal and a strip in Mpumalanga, with smaller patches of climatically optimum areas elsewhere.', 'num_resources': 1, 'num_tags': 11, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. ', 'image_url': '2025-08-01-083136.289314LogoSAEON.png', 'created': '2025-05-26T07:57:06.135422', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[16.45192, -34.8341698957], [32.8925317467, -34.8341698957], [32.8925317467, -22.12503], [16.45192, -22.12503], [16.45192, -34.8341698957]]]}', 'state': 'active', 'title': 'Acacia mearnsii - bark Yield Estimates per mesozone', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'SAEON', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2007-01-01T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'https://catalogue.saeon.ac.za/records/10.15493/BEA.DATA.10000008', 'name': 'Acacia mearnsii - bark Yield Estimates per mesozone'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-17T09:33:17.549512', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': '51ef4375-6276-449f-b5d8-c2990b38466c', 'last_modified': None, 'metadata_modified': '2025-10-17T09:33:17.538561', 'mimetype': None, 'mimetype_inner': None, 'name': 'Acacia mearnsii - bark Yield Estimates per mesozone', 'package_id': '0894e55b-3e79-4b6e-b71d-5992df7efa44', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://repository.saeon.ac.za/index.php/s/ZacqasHnDgPL88X?opendetails=', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'R.E. Schulze & M. Maharaj', 'position_name': 'University of KwaZulu-Natal', 'role': 'originator', 'website': ''}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': '', 'delivery_point': '', 'postal_code': ''}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Acacia mearnsii', 'id': '5c694886-9e84-460d-9f40-8e6b6d76c961', 'name': 'Acacia mearnsii', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Agriculture', 'id': '76bc5b3e-aa3e-4117-a94e-53d07473952b', 'name': 'Agriculture', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Commercial forestry', 'id': 'c9cdbbe0-563e-48b0-b276-8873fa70a327', 'name': 'Commercial forestry', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Forestry distribution', 'id': 'a373ef67-e2f7-4c4c-a9f1-42afafc3032f', 'name': 'Forestry distribution', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Imagery-Basemaps-Earth Cover', 'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'acacia mearnsii', 'id': '8a3f959b-ce05-41a8-b046-fbcf0950cbd9', 'name': 'acacia mearnsii', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'agriculture', 'id': 'e9c2ba74-5eec-405f-bf77-5b0483eae3bf', 'name': 'agriculture', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'biomass', 'id': '3599fc01-138e-449a-8618-4697ace9ddfe', 'name': 'biomass', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'mesozones', 'id': 'ec11507b-eb72-4e46-a0b4-04378e39be8c', 'name': 'mesozones', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'yield', 'id': 'dc14a921-0c4d-4efa-b154-52a15b712556', 'name': 'yield', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'yield estimation', 'id': 'ffb78bb7-ddac-4f32-b75f-0182de795c57', 'name': 'yield estimation', '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/BEA.DATA.10000014', 'featured': 'false', 'id': 'c1c3fa77-dfe7-47d0-a780-b83e0b8f2315', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': "The dataset shows climatically optimum growth areas and yield estimates of Pinus taeda allocated to mesozones. Yield estimates were derived from Schulze R.E. and Maharaj M. (2007) and then allocated to mesozones by combining with a base mesozone layer obtained from the CSIR Geospatial Analysis Platform (GAP). *The map shows the climatically optimum growth areas to be along the north coast of the Eastern Cape, significant tracts in the midlands of KwaZulu-Natal, and parts of Mpumalanga. Major climatic growth constraints are drought related. Highest Mean Annual Increments (MAIs), according to Smith's (1994) equations, are 20 - 22 t/ha/annum and these coincide with the climatically optimum growth areas.", 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T08:55:19.627353', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T08:57:32.503193', 'metadata_thumbnail': '', 'name': 'pinus_taeda_growth_areas_allocated_to_mesozones', 'notes': "The dataset shows climatically optimum growth areas and yield estimates of Pinus taeda allocated to mesozones. Yield estimates were derived from Schulze R.E. and Maharaj M. (2007) and then allocated to mesozones by combining with a base mesozone layer obtained from the CSIR Geospatial Analysis Platform (GAP). The map shows the climatically optimum growth areas to be along the north coast of the Eastern Cape, significant tracts in the midlands of KwaZulu-Natal, and parts of Mpumalanga. Major climatic growth constraints are drought related. Highest Mean Annual Increments (MAIs), according to Smith's (1994) equations, are 20 - 22 t/ha/annum and these coincide with the climatically optimum growth areas.", 'num_resources': 1, 'num_tags': 9, 'organization': {'id': 'c4a18544-cded-4488-9f43-c02a1094ad39', 'name': 'saeon', 'title': 'NRF-SAEON', 'type': 'organization', 'description': 'The South African Environmental Observation Network (SAEON) is a long-term environmental observation and research facility of the National Research Foundation (NRF). SAEON’s three focus areas are environmental observation, data management and education outreach. The Department of Science, Technology and Innovation (DSTI) provides core funding for these activities. ', '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": [[[16.45192, -34.8341698957], [32.8925317467, -34.8341698957], [32.8925317467, -22.12503], [16.45192, -22.12503], [16.45192, -34.8341698957]]]}', 'state': 'active', 'title': 'Pinus taeda growth areas allocated to mesozones', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'SAEON', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2007-01-01T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], '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.10000014', 'name': 'Pinus taeda growth areas allocated to mesozones'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-17T08:55:36.624094', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': 'dd6ccb93-bfb0-47b6-84d7-3113d97985f6', 'last_modified': None, 'metadata_modified': '2025-10-17T08:55:36.612767', 'mimetype': None, 'mimetype_inner': None, 'name': 'Pinus taeda growth areas allocated to mesozones', 'package_id': 'c1c3fa77-dfe7-47d0-a780-b83e0b8f2315', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://repository.saeon.ac.za/index.php/s/r53EQcaaK8CK7PM?opendetails=', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'R.E. Schulze & M. Maharaj', 'position_name': 'University of KwaZulu-Natal', 'role': 'originator', 'website': ''}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': '', 'delivery_point': '', 'postal_code': ''}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Agriculture', 'id': '76bc5b3e-aa3e-4117-a94e-53d07473952b', 'name': 'Agriculture', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Commercial forestry', 'id': 'c9cdbbe0-563e-48b0-b276-8873fa70a327', 'name': 'Commercial forestry', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Imagery-Basemaps-Earth Cover', 'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'agriculture', 'id': 'e9c2ba74-5eec-405f-bf77-5b0483eae3bf', 'name': 'agriculture', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'biomass', 'id': '3599fc01-138e-449a-8618-4697ace9ddfe', 'name': 'biomass', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'growth areas', 'id': '270aa94b-1ca2-41e2-a735-944a362034d0', 'name': 'growth areas', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'mesozones', 'id': 'ec11507b-eb72-4e46-a0b4-04378e39be8c', 'name': 'mesozones', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'pinus taeda', 'id': '43d166c5-cc0a-467e-999f-93d358220fda', 'name': 'pinus taeda', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'yield estimation', 'id': 'ffb78bb7-ddac-4f32-b75f-0182de795c57', 'name': 'yield estimation', '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/BEA.DATA.10000015', 'featured': 'false', 'id': '1e4da9b6-ef19-49f2-9d62-4edcf375e6db', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': "The dataset shows climatically optimum growth areas and yield estimates of Pinus taeda allocated to mesozones. Yield estimates were derived from Schulze R.E. and Maharaj M. (2007) and then allocated to mesozones by combining with a base mesozone dataset obtained from the CSIR Geospatial Analysis Platform (GAP). *The map shows the climatically optimum growth areas to be along the north coast of the Eastern Cape, significant tracts in the midlands of KwaZulu-Natal, and parts of Mpumalanga. Major climatic growth constraints are drought related. Highest Mean Annual Increments (MAIs), according to Smith's (1994) equations, are 20 - 22 t/ha/annum and these coincide with the climatically optimum growth areas.", 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-10-17T08:32:25.356646', 'metadata_date': '2025-10-17T00:00', 'metadata_modified': '2025-10-17T08:42:56.097213', 'metadata_thumbnail': '', 'name': 'pinus_taeda_yield_estimates_allocated_to_mesozones', 'notes': "The dataset shows climatically optimum growth areas and yield estimates of Pinus taeda allocated to mesozones. Yield estimates were derived from Schulze R.E. and Maharaj M. (2007) and then allocated to mesozones by combining with a base mesozone dataset obtained from the CSIR Geospatial Analysis Platform (GAP). The map shows the climatically optimum growth areas to be along the north coast of the Eastern Cape, significant tracts in the midlands of KwaZulu-Natal, and parts of Mpumalanga. Major climatic growth constraints are drought related. Highest Mean Annual Increments (MAIs), according to Smith's (1994) equations, are 20 - 22 t/ha/annum and these coincide with the climatically optimum growth areas.", '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": [[[16.45192, -34.8341698957], [32.8925317467, -34.8341698957], [32.8925317467, -22.12503], [16.45192, -22.12503], [16.45192, -34.8341698957]]]}', 'state': 'active', 'title': 'Pinus taeda yield estimates allocated to mesozones', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'curation@saeon.nrf.ac.za', 'individual_name': 'SAEON', 'position_name': '', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2007-01-01T00:00', 'reference_date_type': 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'}], '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.10000015', 'name': 'Pinus taeda yield estimates allocated to mesozones'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-10-17T08:37:39.794070', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': '6804c35c-6367-4430-afb6-03e330049074', 'last_modified': None, 'metadata_modified': '2025-10-17T08:37:39.784828', 'mimetype': None, 'mimetype_inner': None, 'name': 'Pinus taeda yield estimates allocated to mesozones', 'package_id': '1e4da9b6-ef19-49f2-9d62-4edcf375e6db', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://repository.saeon.ac.za/index.php/s/5NKxji4aq8QACRm?opendetails=', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'R.E. Schulze & M. Maharaj', 'position_name': 'University of KwaZulu-Natal', 'role': 'originator', 'website': ''}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': '', 'delivery_point': '', 'postal_code': ''}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Agriculture', 'id': '76bc5b3e-aa3e-4117-a94e-53d07473952b', 'name': 'Agriculture', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Commercial forestry', 'id': 'c9cdbbe0-563e-48b0-b276-8873fa70a327', 'name': 'Commercial forestry', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Forestry distribution', 'id': 'a373ef67-e2f7-4c4c-a9f1-42afafc3032f', 'name': 'Forestry distribution', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Imagery-Basemaps-Earth Cover', 'id': '8895be3b-53e6-43b4-b77b-571ea5ff5252', 'name': 'Imagery-Basemaps-Earth Cover', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'agriculture', 'id': 'e9c2ba74-5eec-405f-bf77-5b0483eae3bf', 'name': 'agriculture', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'biomass', 'id': '3599fc01-138e-449a-8618-4697ace9ddfe', 'name': 'biomass', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'growth areas', 'id': '270aa94b-1ca2-41e2-a735-944a362034d0', 'name': 'growth areas', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'mesozones', 'id': 'ec11507b-eb72-4e46-a0b4-04378e39be8c', 'name': 'mesozones', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'pinus taeda', 'id': '43d166c5-cc0a-467e-999f-93d358220fda', 'name': 'pinus taeda', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'yield estimation', 'id': 'ffb78bb7-ddac-4f32-b75f-0182de795c57', 'name': 'yield estimation', '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/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/NRF.SAIAB.20232508', 'featured': 'false', 'id': '2a686659-89e1-4538-9037-f56c171e75f0', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'This dataset consists of XYZ points below the sea surface and relative to mean sea level. This data was collected under the ACEP uMdloti Inshore trials (2020) using the ACEP Geophysics and Mapping Platform.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-11T14:08:06.936638', 'metadata_date': '2023-01-27T00:00', 'metadata_modified': '2025-09-12T09:16:30.363398', 'metadata_thumbnail': '', 'name': 'bathymetry_data_collected_from_umdloti_main_reef_december-2020', 'notes': "This dataset forms part of the South African Institute for Aquatic Biodiversity (SAIAB)'s collection of Bathymetry data for the African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA. This hydrographic survey assesses the application of multibeam bathymetry data in biological research. This dataset consists of XYZ points below the sea surface and relative to mean sea level. This data was collected under the ACEP uMdloti Inshore trials (2020) using the ACEP Geophysics and Mapping Platform..\r\n\r\n", 'num_resources': 1, 'num_tags': 6, 'organization': {'id': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'title': 'NRF-SAIAB', 'type': 'organization', 'description': 'The South African Institute for Aquatic Biodiversity (NRF-SAIAB) is a national facility of the National Research Foundation (NRF). The NRF-SAIAB contributes to two National Operation Phakisa Labs through which South Africa has identified the potential to develop the Biodiversity Economy and the Blue Economy.', 'image_url': '2025-09-11-081630.579961SouthAfricanInstituteforAquaticBiodiversitylogo.svg.png', 'created': '2025-09-11T08:16:30.612011', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[31.111534, -29.710849], [31.165622, -29.710849], [31.165622, -29.647195], [31.111534, -29.647195], [31.111534, -29.710849]]]}', 'state': 'active', 'title': 'Bathymetry data collected from uMdloti Main Reef, December 2020', '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.20232508', 'name': 'bathymetry_data_collected_from_umdloti_main_reef_december 2020'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-09-11T14:08:29.602218', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': 'b961d194-0c39-422b-86aa-3c3cfa88d0ce', 'last_modified': None, 'metadata_modified': '2025-09-12T09:16:30.370406', 'mimetype': None, 'mimetype_inner': None, 'name': 'Bathymetry data collected from uMdloti Main Reef, December 2020', 'package_id': '2a686659-89e1-4538-9037-f56c171e75f0', 'position': 0, 'resource_type': None, 'size': None, 'state': 'active', 'url': 'http://doi.org/10.15493/NRF.SAIAB.20232508', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'South African Institute for Aquatic Biodiversity ', 'position_name': 'SAIAB', 'role': 'owner', 'website': ''}], '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.20232507', 'featured': 'false', 'id': 'bedf2391-65da-40b0-931c-1868f8c8f402', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'This dataset consists of XYZ points below the sea surface and relative to the mean sea level. This data was collected under the ACEP Geo-Benthic trials (2020) using the ACEP Geophysics and Mapping Platform.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-11T13:33:59.643377', 'metadata_date': '2023-01-27T16:15', 'metadata_modified': '2025-09-12T09:06:37.093265', 'metadata_thumbnail': '', 'name': 'bathymetry_data_collected_from_umhlanga_january_2020', 'notes': "This dataset forms part of the South African Institute for Aquatic Biodiversity (SAIAB)'s collection of Bathymetry data for the African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA. This hydrographic survey assesses the application of multibeam bathymetry data in biological research. This dataset consists of XYZ points below the sea surface and relative to the mean sea level. This data was collected under the ACEP Geo-Benthic trials (2020) using the ACEP Geophysics and Mapping Platform.", 'num_resources': 1, 'num_tags': 5, 'organization': {'id': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'title': 'NRF-SAIAB', 'type': 'organization', 'description': 'The South African Institute for Aquatic Biodiversity (NRF-SAIAB) is a national facility of the National Research Foundation (NRF). The NRF-SAIAB contributes to two National Operation Phakisa Labs through which South Africa has identified the potential to develop the Biodiversity Economy and the Blue Economy.', 'image_url': '2025-09-11-081630.579961SouthAfricanInstituteforAquaticBiodiversitylogo.svg.png', 'created': '2025-09-11T08:16:30.612011', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[31.174365, -29.779153], [31.197984, -29.779153], [31.197984, -29.759507], [31.174365, -29.759507], [31.174365, -29.779153]]]}', 'state': 'active', 'title': 'Bathymetry data collected from uMhlanga, January 2020', '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': '2023-01-27T16:15', '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.20232507', 'name': 'bathymetry_data_collected_from_umhlanga_january_2020'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-09-11T13:34:25.988072', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': '370fcff5-6025-40e7-b05b-f4870e2d086d', 'last_modified': None, 'metadata_modified': '2025-09-12T09:06:37.100153', 'mimetype': None, 'mimetype_inner': None, 'name': 'Bathymetry data collected from uMhlanga, January 2020', 'package_id': 'bedf2391-65da-40b0-931c-1868f8c8f402', 'position': 0, 'resource_type': None, 'size': None, 'state': 'active', 'url': 'https://catalogue.saeon.ac.za/list/records/10.15493/NRF.SAIAB.20232507?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}], '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.20232512', 'featured': 'false', 'id': '2d055e06-42f7-4fed-a1ba-586a33c6030e', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'This dataset consists of XYZ points below the sea surface and relative to mean sea level. This data was collected under the ACEP SMART ZONES MPA project (2021 – 2023) using the ACEP Geophysics and Mapping Platform.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-11T13:21:58.336597', 'metadata_date': '2023-01-27T14:15', 'metadata_modified': '2025-09-12T08:49:05.974746', 'metadata_thumbnail': '', 'name': 'bathymetry_data_collected_from_durnford_hats_march_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 multi-disciplinary study will begin at the start of implementation of two new MPAs (uThukela MPA and Protea Banks MPA, both proclaimed in 2019), and will generate the relevant data needed to underpin an evidence-based approach to adaptive management of the MPAs, within a “SMART” framework. This framework defines specific objectives for the different MPA zones; develops measurable indicators of success for each zone; sets achievable goals given the limited resources available for planning and management; ensures that the research findings are relevant (to both biodiversity and human stakeholders). This is a rare time-sensitive opportunity to conduct baseline surveys of the geology, benthic biodiversity (sessile and mobile species), reef-associated ichthyoplankton and mero-zooplankton and fish communities of mesophotic (40-150m) soft-coral and sponge-dominated reefs and submarine habitats located in three different management zones at initiation of management of two brand new MPAs, against which long-term monitoring data can be compared to assess the effectiveness of the MPAs in achieving their objectives. The balanced sampling design is such that it will also initiate a “natural experiment” that over time will investigate the effect of no-take zones on fish diversity and abundance, benthic community structure, and trophic complexity. This will also enable the determination of the value of the MPA for fisheries sustainability support and resilience to disturbances caused by extrinsic factors such as pollution or climate change. Additionally, this study will assess whether the zonation plan provides for representation of all reef and canyon types within each zone or if there is unbalanced coverage for certain reefs and in certain zones. This is important to assess at the initiation of the MPA, especially to ensure that interpretation of monitoring results in future, which compare ecosystems and fish on reefs and canyons in the mesophotic zone, are not flawed by natural differences from the outset due to the selection of zone boundaries. This dataset consists of XYZ points below the sea surface and relative to mean sea level. This data was collected under the ACEP SMART ZONES MPA project (2021 – 2023) using the ACEP Geophysics and Mapping Platform.", 'num_resources': 1, 'num_tags': 5, '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": [[[32.140081, -28.981474], [32.174743, -28.981474], [32.174743, -28.95353], [32.140081, -28.95353], [32.140081, -28.981474]]]}', 'state': 'active', 'title': 'Bathymetry data collected from Durnford Hats, 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': '2023-01-27T14:15', '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.20232512', 'name': 'bathymetry_data_collected_from_durnford_hats_march_2022'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-09-12T08:49:06.004501', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': '1250225b-9110-4b61-a42f-e6bf7659926a', 'last_modified': None, 'metadata_modified': '2025-09-12T08:49:05.984362', 'mimetype': None, 'mimetype_inner': None, 'name': 'Bathymetry data collected from Durnford Hats, March 2022', 'package_id': '2d055e06-42f7-4fed-a1ba-586a33c6030e', 'position': 0, 'resource_type': 'other', 'size': None, 'state': 'active', 'upload_mode': 'single', 'url': 'https://catalogue.saeon.ac.za/list/records/10.15493/NRF.SAIAB.20232512?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': ''}], '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}], '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.20232503', 'featured': 'false', 'id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'This dataset consists of XYZ points below the sea surface and relative to the mean sea level. This data was collected under the ACEP SMART ZONES MPA project (2021 – 2023) using the ACEP Geophysics and Mapping Platform.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-11T13:54:29.780880', 'metadata_date': '202301-02-06T00:00', 'metadata_modified': '2025-09-12T08:46:26.411995', 'metadata_thumbnail': '', 'name': 'bathymetry_data_collected_from_rosie_snowball_july_2021', 'notes': "This dataset forms part of the South African Institute for Aquatic Biodiversity (SAIAB)'s collection of Bathymetry data for the African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA. This multi-disciplinary study will begin at the start of the implementation of two new MPAs (uThukela MPA and Protea Banks MPA, both proclaimed in 2019), and will generate the relevant data needed to underpin an evidence-based approach to adaptive management of the MPAs, within a “SMART” framework. This framework defines specific objectives for the different MPA zones; and develops measurable indicators of success for each zone. It also sets achievable goals given the limited resources available for planning and management. This ensures that the research findings are relevant (to both biodiversity and human stakeholders). This is a rare time-sensitive opportunity to conduct baseline surveys of the geology, benthic biodiversity (sessile and mobile species), reef-associated ichthyoplankton and mero-zooplankton and fish communities of mesophotic (40-150m) soft-coral and sponge-dominated reefs and submarine habitats located in three different management zones at the initiation of management of two brand new MPAs, against which long-term monitoring data can be compared to assess the effectiveness of the MPAs in achieving their objectives. The balanced sampling design is such that it will also initiate a “natural experiment” that over time will investigate the effect of no-take zones on fish diversity and abundance, benthic community structure, and trophic complexity. This will also enable the determination of the value of the MPA for fisheries sustainability support and resilience to disturbances caused by extrinsic factors such as pollution or climate change. Additionally, this study will assess whether the zonation plans provide for representation of all reef and canyon types within each zone or if there is unbalanced coverage for certain reefs and in certain zones. This is important to assess the initiation of the MPA, especially to ensure that the interpretation of monitoring results in future to compare ecosystems and fish on reefs and canyons in the mesophotic zone are not flawed by natural differences from the outset due to the selection of zone boundaries. This dataset consists of XYZ points below the sea surface and relative to the mean sea level. This data was collected under the ACEP SMART ZONES MPA project (2021 – 2023) using the ACEP Geophysics and Mapping Platform.", 'num_resources': 1, 'num_tags': 6, 'organization': {'id': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'title': 'NRF-SAIAB', 'type': 'organization', 'description': 'The South African Institute for Aquatic Biodiversity (NRF-SAIAB) is a national facility of the National Research Foundation (NRF). 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": [[[31.151259, -29.840725], [31.218302, -29.840725], [31.218302, -29.771849], [31.151259, -29.771849], [31.151259, -29.840725]]]}', 'state': 'active', 'title': 'Bathymetry data collected from Rosie Snowball, July 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': '2023-01-26T00:00', '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.202325031 ', 'name': 'bathymetry_data_collected_from_rosie_snowball_july_2021'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-09-11T13:54:54.935753', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': '2959380a-7aea-4a5e-9523-95ec9af63568', 'last_modified': None, 'metadata_modified': '2025-09-12T08:46:26.420572', 'mimetype': None, 'mimetype_inner': None, 'name': 'Bathymetry data collected from Rosie Snowball, July 2021', 'package_id': 'b83213b0-c6e8-403d-8b81-21161cde38b6', 'position': 0, 'resource_type': None, 'size': None, 'state': 'active', 'url': 'https://catalogue.saeon.ac.za/list/records/10.15493/NRF.SAIAB.20232503?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.20232509', 'featured': 'false', 'id': '9443de7a-7bf5-46e9-b05b-a457c4ce3486', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': ' This dataset consists of XYZ points below the sea surface and relative to the mean sea level. This data was collected under the ACEP SMART ZONES MPA project (2021 – 2023) using the ACEP Geophysics and Mapping Platform.",', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-11T14:01:12.019504', 'metadata_date': '202301-02-07T00:00', 'metadata_modified': '2025-09-12T08:45:39.553236', 'metadata_thumbnail': '', 'name': 'bathymetry_data_collected_from_ballito_birthday_november_2021', 'notes': "This dataset forms part of the South African Institute for Aquatic Biodiversity (SAIAB)'s collection of Bathymetry data for the African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA. This multi-disciplinary study will begin at the start of implementation of two new MPAs (uThukela MPA and Protea Banks MPA, both proclaimed in 2019), and will generate the relevant data needed to underpin an evidence-based approach to adaptive management of the MPAs, within a “SMART” framework. This framework defines Specific objectives for the different MPA zones; develops measurable indicators of success for each zone; sets achievable goals given the limited resources available for planning and management; ensures that the research findings are relevant (to both biodiversity and human stakeholders). This is a rare time-sensitive opportunity to conduct baseline surveys of the geology, benthic biodiversity (sessile and mobile species), reef-associated ichthyoplankton and mero-zooplankton and fish communities of mesophotic (40-150m) soft-coral and sponge-dominated reefs and submarine habitats located in three different management zones at the initiation of management of two brand new MPAs, against which long-term monitoring data can be compared to assess the effectiveness of the MPAs in achieving their objectives. The balanced sampling design is such that it will also initiate a “natural experiment” that over time will investigate the effect of no-take zones on fish diversity and abundance, benthic community structure, and trophic complexity. This will also enable the determination of the value of the MPA for fisheries sustainability support and resilience to disturbances caused by extrinsic factors such as pollution or climate change. Additionally, this study will assess whether the zonation plan provides for representation of all reef and canyon types within each zone or if there is unbalanced coverage for certain reefs and in certain zones. This is important to assess at the initiation of the MPA, especially to ensure that the interpretation of monitoring results in future, which compare ecosystems and fish on reefs and canyons in the mesophotic zone, are not flawed by natural differences from the outset due to the selection of zone boundaries. This dataset consists of XYZ points below the sea surface and relative to the mean sea level. This data was collected under the ACEP SMART ZONES MPA project (2021 – 2023) using the ACEP Geophysics and Mapping Platform.", 'num_resources': 1, 'num_tags': 6, 'organization': {'id': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'title': 'NRF-SAIAB', 'type': 'organization', 'description': 'The South African Institute for Aquatic Biodiversity (NRF-SAIAB) is a national facility of the National Research Foundation (NRF). The NRF-SAIAB contributes to two National Operation Phakisa Labs through which South Africa has identified the potential to develop the Biodiversity Economy and the Blue Economy.', 'image_url': '2025-09-11-081630.579961SouthAfricanInstituteforAquaticBiodiversitylogo.svg.png', 'created': '2025-09-11T08:16:30.612011', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[31.363237, -29.522031], [31.427626, -29.522031], [31.427626, -29.459967], [31.363237, -29.459967], [31.363237, -29.522031]]]}', 'state': 'active', 'title': 'Bathymetry data collected from Ballito Birthday, 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': '202301-02-07T00:00', '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.20232509 ', 'name': 'bathymetry_data_collected_from_ballito_birthday_november_2021'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-09-11T14:01:33.330251', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': 'e061c850-00e4-41ab-9522-fe4eecbe6520', 'last_modified': None, 'metadata_modified': '2025-09-12T08:45:39.558815', 'mimetype': None, 'mimetype_inner': None, 'name': 'Bathymetry data collected from Ballito Birthday, November 2021', 'package_id': '9443de7a-7bf5-46e9-b05b-a457c4ce3486', 'position': 0, 'resource_type': None, 'size': None, 'state': 'active', 'url': 'https://catalogue.saeon.ac.za/list/records/10.15493/NRF.SAIAB.20232509?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': 'res', 'id': '4519985f-d5a9-4c63-bc4e-ec1ecbddd168', 'name': 'res', '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.20232511', 'featured': 'false', 'id': 'ed816ac3-0461-4c85-b09f-16b54b0ad3f3', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'This dataset consists of XYZ points below the sea surface and relative to the mean sea level. This data was collected under the ACEP SMART ZONES MPA project (2021 – 2023) using the ACEP Geophysics and Mapping Platform.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-09-11T14:14:08.850568', 'metadata_date': '2023-01-27T00:00', 'metadata_modified': '2025-09-12T08:41:16.578676', 'metadata_thumbnail': '', 'name': 'bathymetry_data_collected_from_zinkwazi_november_2021', 'notes': "This dataset forms part of the South African Institute for Aquatic Biodiversity (SAIAB)'s collection of Bathymetry data for the African Coelacanth Ecosystem Programme (ACEP) Smart Zones MPA. This multi-disciplinary study will begin at the start of the implementation of two new MPAs (uThukela MPA and Protea Banks MPA, both proclaimed in 2019), and will generate the relevant data needed to underpin an evidence-based approach to adaptive management of the MPAs, within a “SMART” framework. This framework defines specific objectives for the different MPA zones; develops measurable indicators of success for each zone; sets achievable goals given the limited resources available for planning and management; ensures that the research findings are relevant (to both biodiversity and human stakeholders). This is a rare time-sensitive opportunity to conduct baseline surveys of the geology, benthic biodiversity (sessile and mobile species), reef-associated ichthyoplankton and mero-zooplankton and fish communities of mesophotic (40-150m) soft-coral and sponge-dominated reefs and submarine habitats located in three different management zones at initiation of management of two brand new MPAs, against which long-term monitoring data can be compared to assess the effectiveness of the MPAs in achieving their objectives. The balanced sampling design is such that it will also initiate a “natural experiment” that over time will investigate the effect of no-take zones on fish diversity and abundance, benthic community structure, and trophic complexity. This will also enable the determination of the value of the MPA for fisheries sustainability support and resilience to disturbances caused by extrinsic factors such as pollution or climate change. Additionally, this study will assess whether the zonation plan provides for representation of all reef and canyon types within each zone or if there is unbalanced coverage for certain reefs and in certain zones. This is important to assess at the initiation of the MPA, especially to ensure that the interpretation of monitoring results in future, which compare ecosystems and fish on reefs and canyons in the mesophotic zone are not flawed by natural differences from the outset due to the selection of zone boundaries. This dataset consists of XYZ points below the sea surface and relative to the mean sea level. This data was collected under the ACEP SMART ZONES MPA project (2021 – 2023) using the ACEP Geophysics and Mapping Platform.", 'num_resources': 1, 'num_tags': 6, 'organization': {'id': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'title': 'NRF-SAIAB', 'type': 'organization', 'description': 'The South African Institute for Aquatic Biodiversity (NRF-SAIAB) is a national facility of the National Research Foundation (NRF). The NRF-SAIAB contributes to two National Operation Phakisa Labs through which South Africa has identified the potential to develop the Biodiversity Economy and the Blue Economy.', 'image_url': '2025-09-11-081630.579961SouthAfricanInstituteforAquaticBiodiversitylogo.svg.png', 'created': '2025-09-11T08:16:30.612011', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[31.52826, -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. Multivariate tests were run on the abundance data and a Pearson’s correlation test for the relationship between the mobile and sessile epibenthic invertebrates. This study will provide new data on the presence and abundance of understudied mobile invertebrates inhabiting unconsolidated sediments of the KZN inner continental shelf and contribute to our understanding of the relationship between sessile and mobile invertebrate epifauna on the unconsolidated inner continental shelf. It will also test and establish the usefulness of a baited drop-camera for sampling epibenthic invertebrates.", 'num_resources': 1, 'num_tags': 6, 'organization': {'id': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'name': 'south-african-institute-for-aquatic-biodiversity-saiab', 'title': 'NRF-SAIAB', 'type': 'organization', 'description': 'The South African Institute for Aquatic Biodiversity (NRF-SAIAB) is a national facility of the National Research Foundation (NRF). The NRF-SAIAB contributes to two National Operation Phakisa Labs through which South Africa has identified the potential to develop the Biodiversity Economy and the Blue Economy.', 'image_url': '2025-09-11-081630.579961SouthAfricanInstituteforAquaticBiodiversitylogo.svg.png', 'created': '2025-09-11T08:16:30.612011', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': '406569f5-01c7-4e26-93e8-f8b40b874dcc', 'private': False, 'reference_system_additional_info': '', 'spatial': '{"type": "Polygon", "coordinates": [[[31.115365, -29.803761], [31.185535, -29.803761], [31.185535, -29.748017], [31.115365, -29.748017], [31.115365, -29.803761]]]}', 'state': 'active', 'title': 'Bathymetry data collected from Mobile Epibenthic Invertebrate Stations, November 2022', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'T.Wanda@saiab.nrf.ac.za', 'individual_name': 'Thamsanqa Wanda', 'position_name': 'Geologist', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2023-01-27T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'Electronic metadata record', 'version': '1.1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'utf-8', 'dataset_language': 'English', 'metadata_character_set': 'utf-8', 'metadata_language': 'English'}], 'online_resource': [{'application_profile': '', 'description': 2, 'linkage': 'http://doi.org/10.15493/NRF.SAIAB.20232516', 'name': 'bathymetry_data_collected_from_mobile_epibenthic_invertebrate_stations_november_2022'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-09-11T14:22:17.751814', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': 'f6492885-e526-4883-ba79-61a161dc0806', 'last_modified': None, 'metadata_modified': '2025-09-12T08:29:23.519836', 'mimetype': None, 'mimetype_inner': None, 'name': 'Bathymetry data collected from Mobile Epibenthic Invertebrate Stations, November 2022', 'package_id': '209cd0fd-d80b-492e-969e-e8223d010104', 'position': 0, 'resource_type': None, 'size': None, 'state': 'active', 'url': 'https://catalogue.saeon.ac.za/list/records/10.15493/NRF.SAIAB.20232516?search=68c2b42da71d058a420b0236&disableSidebar=false&showSearchBar=true', 'url_type': None}], 'responsible_party': [{'electronic_mail_address': '', 'individual_name': 'South African Institute for Aquatic Biodiversity ', 'position_name': 'SAIAB', 'role': 'owner', 'website': 'https://nrfsaiab.wixsite.com/gemapocean'}], 'responsible_party_contact_address': [{'administrative_area': '', 'city': 'Makhanda', 'delivery_point': 'Somerset Street', 'postal_code': '6139'}], 'responsible_party_contact_info': [{'facsimile': '', 'voice': ''}], 'spatial_parameters': [{'equivalent_scale': 'N/A', 'spatial_reference_system': 'EPSG: 4326', 'spatial_representation_type': '001'}], 'tags': [{'display_name': 'Oceans', 'id': '2547e672-a968-4048-814b-29a682525254', 'name': 'Oceans', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'SGB systems', 'id': 'e90bd4d4-da24-418e-a5b1-f9d0cf063793', 'name': 'SGB systems', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'bathymetry', 'id': '84d64091-149a-4cd4-bf97-f828e908fe76', 'name': 'bathymetry', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'hydrographic', 'id': '903bf930-556a-402c-a784-3c57de8bc65b', 'name': 'hydrographic', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'multibeam bathymetry', 'id': '1fe9236d-3571-4fe0-9305-f1b40579e991', 'name': 'multibeam bathymetry', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'reson', 'id': '4ff1fff4-deb9-4256-a9c0-f03802b2d0e7', 'name': 'reson', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'oceans'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []}, {'author': None, 'author_email': None, 'creator_user_id': '51ab5002-5dc5-4fdc-a0ab-ce13592d0d6f', 'doi': '', 'featured': 'true', 'id': '501f756d-cce7-47e7-b5ff-a20c16063093', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'SPOT 4 acquired and processed by the South African National Space Agency (then Satellite Application Centre) in South Africa. SPOT 4 images with a spatial resolution of 20m (4 band multispectral(I)) and 10m panchromatic (M), processed to level 1A. The images were acquired between 22 September and 28 December 2010 covering some parts of South Africa and delivered in GeoTiff format', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-08-25T10:37:59.621810', 'metadata_date': '2025-08-25T10:00', 'metadata_modified': '2025-08-25T10:39:31.888193', 'metadata_thumbnail': '', 'name': '2010-spot4-satellite-imagery', 'notes': 'SPOT 4 acquired and processed by the South African National Space Agency (then Satellite Application Centre) in South Africa. SPOT 4 images with a spatial resolution of 20m (4 band multispectral(I)) and 10m panchromatic (M), processed to level 1A. The images were acquired between 22 September and 28 December 2010 covering some parts of South Africa and delivered in GeoTiff format', 'num_resources': 1, 'num_tags': 2, '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': '2010 SPOT 4 Satellite Imagery', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'customers-eo@sansa.org.za', 'individual_name': 'SANSA customer services', 'position_name': 'Customer services', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': '0123345024'}], 'dataset_reference_date': [{'reference': '2010-12-31T00:00', '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': ''}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-08-25T10:38:21.790239', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': '4e7365b6-aec4-4379-bf79-77af092d2c53', 'last_modified': None, 'metadata_modified': '2025-08-25T10:38:21.781442', 'mimetype': None, 'mimetype_inner': None, 'name': '', 'package_id': '501f756d-cce7-47e7-b5ff-a20c16063093', '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': 'resource_provider', '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': '1:20000', '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}, {'display_name': 'SPOT4', 'id': 'a63ef0d8-4f14-43e4-936e-bd2e0678d428', 'name': 'SPOT4', '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': '51ab5002-5dc5-4fdc-a0ab-ce13592d0d6f', 'doi': '', 'featured': 'false', 'id': '32d6d78f-d69f-4fb1-9b14-328e866ef2e9', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'SPOT 4 acquired and processed by the South African National Space Agency (then Satellite Application Centre) in South Africa. SPOT 4 images with a spatial resolution of 20m (4 band multispectral(I)) and 10m panchromatic (M), processed to level 1A. The images were acquired between 12 January and 08 December 2009 covering some parts of South Africa and delivered in GeoTiff format', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-08-25T10:33:44.857228', 'metadata_date': '2025-08-25T00:00', 'metadata_modified': '2025-08-25T10:34:36.148781', 'metadata_thumbnail': '', 'name': '2009-spot-4-satellite-imagery-', 'notes': 'SPOT 4 acquired and processed by the South African National Space Agency (then Satellite Application Centre) in South Africa. SPOT 4 images with a spatial resolution of 20m (4 band multispectral(I)) and 10m panchromatic (M), processed to level 1A. The images were acquired between 12 January and 08 December 2009 covering some parts of South Africa and delivered in GeoTiff format', 'num_resources': 1, 'num_tags': 3, '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': '2009 SPOT 4 Satellite Imagery', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'customers-eo@sansa.org.za', 'individual_name': 'SANSA customer services', 'position_name': 'Customer services', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': '0123345024'}], 'dataset_reference_date': [{'reference': '2009-12-31T00:00', 'reference_date_type': 1}], 'distribution_format': [{'name': 'PDF,xml', 'version': '1'}], 'metadata_language_and_character_set': [{'dataset_character_set': 'ucs-2', 'dataset_language': 'English', 'metadata_character_set': 'ucs-2', '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': ''}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2025-08-25T10:34:01.076646', 'description': '', 'format': '', 'format_version': '', 'hash': '', 'id': 'a7a7317c-3e54-4afe-afc5-a331785403cc', 'last_modified': None, 'metadata_modified': '2025-08-25T10:34:01.063087', 'mimetype': None, 'mimetype_inner': None, 'name': '', 'package_id': '32d6d78f-d69f-4fb1-9b14-328e866ef2e9', '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': 'resource_provider', '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': '1:20000', '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': 'Images', 'id': '05cac319-7f99-4c61-b825-6612197adede', 'name': 'Images', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'SPOT4', 'id': 'a63ef0d8-4f14-43e4-936e-bd2e0678d428', 'name': 'SPOT4', 'state': 'active', 'vocabulary_id': None}], 'topic_and_saeoss_themes': [{'iso_topic_category': 'imageryBaseMapsEarthCover'}], 'groups': [], 'relationships_as_subject': [], 'relationships_as_object': []}] |