| packages |
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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': '64e47517-dce0-4a13-9ab7-ef1cfcd1d892', 'doi': '', 'featured': 'true', 'id': 'ffca28cb-5b50-48a9-b3b5-6e34cdff98b7', 'isopen': False, 'license_id': None, 'license_title': None, 'lineage_statement': 'Land-cover dataset for 2022 generated in-house by the Department of Forestry, Fisheries and the Environment (DFFE) with the Computer Automated Land Cover system (CALC), based on full year 2022 coverage of 20 m Sentinel 2 imagery. All original imagery sourced and automatically processed on the Amazon Web Services (AWS) cloud platform. The land-cover classification consists of 73 classes at 20 m resolution and the product was exported as a Geographic Lat/Lon in a GeoTIFF format.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-07-29T17:43:18.057394', 'metadata_date': '2024-04-15T00:00', 'metadata_modified': '2025-08-01T08:04:44.724360', 'metadata_thumbnail': '', 'name': 'south_african_national_landcover_2022', 'notes': 'Raster-based land-cover dataset representing the full South African landscape for the full year 2022. Derived from 20 m Sentinel 2 imagery acquired between 01 January 2022 and 31 December 2022. Land-cover information classes based on\r\nnew Gazetted land-cover standards and legend content used in 2013/14 national land-cover data. All land-cover and land-use classes generated using automated modelling procedures for full operational repeatability and change detection. 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From December 2013 to 30 May 2025 the information extracted from these databases were verified and supplemented with official environment application documentation where available, such as application forms, EIA reports, Environmental Authorisations, and lapse letters. Such documentation was primarily provided by DFFE. In cases where documentation was not available from DFFE it was sourced from project websites. In some instances where official documentation was not available from DFFE applicants or their consultants were also contacted to obtain or verify information. There are 0 amendments added; 24 new applications captured and 0 corrections made, see ANNEXURE A with details of records.', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2025-07-29T13:12:22.439409', 'metadata_date': '2025-07-29T00:00', 'metadata_modified': '2025-07-29T16:15:55.992836', 'metadata_thumbnail': '', 'name': 'south_african_renewable_energy_eia_application_database', 'notes': 'The South African Renewable Energy EIA Application Database contains spatial data for renewable energy applications for environmental authorisation. It includes spatial and attribute information for both active (in process and with valid authorisations) and non-active (lapsed or replaced by amendments) applications. Data is captured and managed on a parcels level as well as aggregated to the project level. Only outer boundaries are provided in this release.', 'num_resources': 3, 'num_tags': 2, 'organization': {'id': 'a08da558-64c6-4214-a930-c678f7300334', 'name': 'dffe', 'title': 'DFFE', 'type': 'organization', 'description': 'Department of Forestry, Fisheries and the Environment', 'image_url': '2025-07-28-071113.285804DFFE.png', 'created': '2025-07-28T07:11:13.295821', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'a08da558-64c6-4214-a930-c678f7300334', 'private': False, 'reference_system_additional_info': 'N/A', 'spatial': '{"type": "Polygon", "coordinates": [[[16.452278, -46.98034], [38.011607, -46.98034], [38.011607, -22.329087], [16.452278, -22.329087], [16.452278, -46.98034]]]}', 'state': 'active', 'title': 'South African Renewable Energy EIA Application Database', 'type': 'dataset', 'url': None, 'version': None, 'contact': [{'electronic_mail_address': 'Reapplicationmap@dffe.gov.za', 'individual_name': 'Acting Director: Environmental Spatial Information', 'position_name': 'Acting Director', 'role': 'point_of_contact'}], 'contact_information': [{'facsimile': '', 'voice': ''}], 'dataset_reference_date': [{'reference': '2025-04-30T00:00', 'reference_date_type': 2}], 'distribution_format': [{'name': 'ArcGIS Pro 3.2.0. 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