AndreaBozzo/ceres-open-data-index huggingface dataset:
Seagrass Meadows in The Greek Seas

Combined use of optical (satellite imagery), and acoustic (sidescan sonar) remote sensing techniques, as well as in situ methodologies (visual census; SCUBA diving, Towed Underwater Cameras, and Remotely Operated Vehicles) was employed to map the spatial distribution of seagrass habitats in the coastal waters of the Hellenic territory. Seagrass meadows were recorded at approximately 70% of the Hellenic coastline (Eastern Ionian, Aegean and Levantine Seas), and their surface area exceeded 2,673.1 km2. Posidonia oceanica is -by far- the dominant seagrass species of the Hellenic seas, covering the vast majority of seabed at depths between the shoreline and 25 ÔÇô 30 m (or deeper in insular areas), followed by the species Cymodocea nodosa, Zostera noltei, and Halophila stipulacea, which, however, presenting local presence and limited areal extent. Habitat suitability in terms of the seabed spatial extent that is available for the growth of seagrass meadows (i.e., the spatial extent of coastal areas between the shoreline and the isobath of 20m) and the seawater clarity conditions are highlighted as the critical factors for the formation of well-structured and extensive meadows. The results of this study are of great importance and usefulness for the effective management and conservation of valuable marine ecosystems.

Report: Panayotidis Panayiotis, Papathanasiou Vasillis, Gerakaris Vasilis, Fakiris Elias, Orfanidis Sotiris, Papatheodorou Georgios, Kosmidou Maria, Georgiou Nikos, Drakopoulou Paraskevi, Loukaidi Vasiliki (2022). Seagrass Meadows in The Greek Seas. SEANOE. https://doi.org/10.17882/87740
Portsmouth Harbour SPA/SSSI Intertidal Mudflat Condition Assessment 2014

At the instruction of Natural England, Marine Ecological Surveys Limited (MESL) conducted the survey of intertidal sediments within the Portsmouth Harbour Special Protected Area (SPA)/Site of Special Scientific Interest (SSSI). MESL undertook the Portsmouth Harbour SPA/SSSI assessment in a single survey conducted between the 20th - 22nd of September 2013. The survey was specifically designed to gather information on the littoral sediment features of Portsmouth Harbour SPA/SSSI, and thus a dataset to inform future condition monitoring of the site.
Allen Coral Atlas Global Benthic Habitat Maps: the Cayman Islands

This map shows the benthic habitats surrounding the Cayman Islands. This map is originally part of the wider Allen Coral Atlas Global Benthic Habitat Maps dataset found at www.allencoralatlas.org. The Allen Coral Atlas dataset maps the benthic habitat for the world's shallow coral reefs at 5 m pixel resolution. The Allen Coral Atlas brings together partners from Planet, University of Queensland, Arizona State University's Center for Global Discovery and Conservation Science (GDCS), the National Geographic Society and Vulcan Inc. to take high resolution satellite imagery and advanced analytics to map and monitor the world's coral reefs in unprecedented detail. Global Benthic Habitat Maps characterise different coral reef bottom types. These bottom types include communities of living organisms attached to the reef (benthos), as well as sediments and underlying substrate. The six Allen Coral Atlas Global Benthic Habitat Map classes used were developed by Roelfsema et al 2013* with input from other coral reef benthic classifications. This classification maximizes the breadth of information available from Planet Dove remote sensing data to create the best set of classes to support users.
                                                                                             
*Chris Roelfsema, Stuart Phinn, Stacy Jupiter, James Comley, and Simon Albert. 2013. Mapping coral reefs at reef to reef-system scales, 10s-1000s km2, using object-based image analysis. Int. J. Remote Sens. 34, 18 (20 September 2013), 6367-6388. https://doi.org/10.1080/01431161.2013.800660.
Allen Coral Atlas Global Benthic Habitat Maps: Southeastern United States of America

This map shows the benthic habitats surrounding the Southeastern United States of America. This map is originally part of the wider Allen Coral Atlas Global Benthic Habitat Maps dataset found at www.allencoralatlas.org. The Allen Coral Atlas dataset maps the benthic habitat for the world's shallow coral reefs at 5 m pixel resolution. The Allen Coral Atlas brings together partners from Planet, University of Queensland, Arizona State University's Center for Global Discovery and Conservation Science (GDCS), the National Geographic Society and Vulcan Inc. to take high resolution satellite imagery and advanced analytics to map and monitor the world's coral reefs in unprecedented detail. Global Benthic Habitat Maps characterise different coral reef bottom types. These bottom types include communities of living organisms attached to the reef (benthos), as well as sediments and underlying substrate. The six Allen Coral Atlas Global Benthic Habitat Map classes used were developed by Roelfsema et al 2013* with input from other coral reef benthic classifications. This classification maximizes the breadth of information available from Planet Dove remote sensing data to create the best set of classes to support users.
                                                                                             
*Chris Roelfsema, Stuart Phinn, Stacy Jupiter, James Comley, and Simon Albert. 2013. Mapping coral reefs at reef to reef-system scales, 10s-1000s km2, using object-based image analysis. Int. J. Remote Sens. 34, 18 (20 September 2013), 6367-6388. https://doi.org/10.1080/01431161.2013.800660.
Shallow-water benthic habitats of Northeast Puerto Rico (NEPR) and Culebra Island

This dataset provides a map of benthic habitat types, including live coral cover present off northeast Puerto Rico and Culebra Island, a region selected by local managers as a priority area for habitat mapping. The map covers 744 km2 of shallow-water habitats at a high spatial resolution (the smallest habitat features mapped are 10x10 meters) and includes 250 km of shoreline for the region's 210 islands and rock outcrops. This includes the shallow habitats inside the current boundaries of the Northeast Natural Reserves, as well as surrounding areas. The habitat map, generated using a combination of semi-automated classification and visual interpretation techniques of remote sensing imagery (WV-2 satellite imagery collected 2011-2013, hydrographic data collected 1900-2012 and aerial photos collected 2007-2010) and underwater videos (2013-2014), represents the first digital map that describes nearly 100% of the seafloor in the study area. This work updates previous NOAA maps generated by Kendall et al. (2001), which covered 22% of the mapped region (78% of the study area was not previously mapped). The new fine-scale habitat map provides spatially-explicit information on habitat types, biological cover, and live coral cover extending over a large and biologically complex area. This work was conducted by NOAA's National Centers for Coastal Ocean Science in collaboration with the Department of Natural and Environmental Resources of Puerto Rico (DRNA) and the University of Puerto Rico (UPR) Mayaguez. 

Kendall, M.S., C.R. Kruer, K.R. Buja, J.D. Christensen, M. Finkbeiner, R.A. Warner and M.E. Monaco. 2001. Methods Used to Map the Benthic Habitats of Puerto Rico and the U.S. Virgin Islands. NOAA Technical Memorandum NOS NCCOS CCMA 152. Silver Spring, MD.
Strandings along Romanian Black Sea coasts 2010-2016

The present database represents the situation of strandings of dolphins along the Romanian coast during 2010 and 2012. The data were collected from the entire Romanian coast, from Sulina to Vama Veche.
The purpose of this dataset was to monitor the situation of Black Sea dolphins along the Romanian coast.

In the Black Sea the cetaceans are represented by three species, Phocoena phocoena relicta, Tursiops truncatus ponticus and Delphinus delphis ponticus. The main threat and cause for the decline of the Black Sea dolphins are the fishing nets, so-called bycatches. For protection of the dolphin populations from Romanian Black Sea area in conformity with the objectives of the „National Action Plan for Conservation of Dolphins” and „Agreement on the Conservation of Cetaceans of the Black Sea, Mediterranean Sea and contiguous Atlantic Area”, with finance from European Union true the Sectorial Operational Programme – Environment, NGO „Mare Nostrum” started a series of activities in partenership with National Institute for Marine Research and Development „Grigore Antipa” Constanța, Danube Delta Biosphere Reserve Authority, National Agency for Fishing and Aquaculture, Natural Science Museum Complex „Dolphinarium” Constanța, Border Police Inspectorate of Constanța County. 

And in 2012 we continued collecting data through two projects: one financed through ACCOBAMS Secretariat fund and one through CSR private companie. The present database represents the situation of strandings of dolphins along the Romanian coast during 2010 and 2012. The data were collected from the entire Romanian coast, from Sulina to Vama Veche.
Fladen Grounds Habitat map

Habitat map created from data collected on the RV Cefas Endeavour 2012 (CEND01/13X) survey to Fladen Grounds, including Central Fladen, Western Fladen and Southeast Fladen. Sublittoral sediments defined using acoustic and groundtruth data. Classified in the EUNIS 20017-11 system.

Survey Techniques: Multibeam echosounder, dropcam video tows and still photography. Infaunal sample and particle size analysis (PSA) carried out on 0.1m2 Hamon grab samples. 

The habitat map was produced using EUNIS classes obtained from PSA data and interpretations from still images.
CEFAS Habitat map for Stanton Banks SAC

Habitat map created from data collected on the NLV Polestar 2012 survey to Stanton Banks. Sublittoral sediments defined using acoustic and groundtruth data. Initially classified in the MNCR system and subsequently translated in to EUNIS 20017-11.

Survey Techniques: Multibeam echosounder, dropcam video tows and still photography. Infaunal sample and particle size analysis (PSA) carried out on 0.1m2 Day grab samples. 

The habitat map was produced using EUNIS classes obtained from PSA data and interpretations from still images.
Scanner Pockmark SAC Habitat Map

Habitat map created from data collected on the  RV Cefas Endeavour CEND19x12 2012 survey to Scanner Pockmark SAC. Sublittoral sediments defined using acoustic and groundtruth data. Classified in EUNIS 20017-11.

Survey Techniques: Multibeam echosounder, sidescan sonar, dropcam video tows and still photography. Infaunal sample and particle size analysis (PSA) carried out on 0.1m2 Day and Hamon grab samples. 

The habitat map was produced using EUNIS classes obtained from PSA data and interpretations from still images.
Braemar Pockmarks SAC Habitat Map

Habitat map created from data collected on the  RV Cefas Endeavour CEND19x12 2012 survey to Braemar Pockmarks SAC. Sublittoral sediments defined using acoustic and groundtruth data. Classified in EUNIS 20017-11.

Survey Techniques: Multibeam echosounder, sidescan sonar, dropcam video tows and still photography. Infaunal sample and particle size analysis (PSA) carried out on 0.1m2 Day and Hamon grab samples. 

The habitat map was produced using EUNIS classes obtained from PSA data and interpretations from still images.
EMODnet Seabed Habitats collated habitat point data

Composite data holdings of habitat point data from groundtruthing data in European waters.

Data are collated by EMODnet Seabed Habitats partners from a variety of source datasets and conformed and standardised into the portal's Darwin-core compliant schema.

Habitats are described in a variety of classification systems, including EUNIS (European Nature Information System), Habitats Directive Annex I, Marine Strategy Framework Directive Benthic Broad Habitats, Regional sea conventions (HELCOM HUB, OSPAR) and local classifcation systems. Sampling methods are standardised to NERC vocabulary server P01 parameters or ICES vocabulary concepts where possible.
Annex I Sandbanks in the UK version 3 - 2019 (Public) Polygons

This dataset shows the potential and high confidence mapped extents of Annex I habitat 'Sandbank' within the boundaries of the UK continental shelf. 'Sandbank' here refers to the habitat (1110) listed under Annex I of EC Directive 92/43/EEC of 21 May 1992 on the conservation of natural habitats and of wild fauna and flora ÔÇô commonly known as the Habitats Directive.

This dataset is presented in its most detailed form so you can fully interrogate the dataset and all its underlying attributes representing the underlying logic and data sources resulting in areas of 'Potential' or 'High' confidence Annex I Sandbanks.

Where areas of Sandbank contain differing underlying attributes, descriptor values or data sources, a single Annex I feature may be represented by multiple polygons. These subdivisions are irrelevant in terms of the overall extent of the feature.

Additional information source: Pinder, J. (2020). Method for Creating version 3 of the UK Composite Map of Annex I Sandbanks slightly covered by seawater all of the time.
Specific diversity data of macrobenthic communities in the "Rivière de Morlaix" study site in the English Channel from 1977 to 1996

Monitoring of species richness, abundances of all macrobenthic species, biomass, sediment grain size, temperature and salinity. The experiment was designed to study long-term changes in community structure in response to global change (climatic change) and local anthropogenis pressures (e.g. eutrophication).
Muddy sand macrobenthic communities were monitored five times a year at the "Rivière de Morlaix" site. Macrofauna were sampled using a Smith McIntyre grab covering a surface of 0.1 m2. Ten replicates are collected at each sampling date. After collection, the sediment was sieved (1 mm circular mesh) and the retained material was fixed with 10% neutralised formalin prior to analysis in the lab. In the laboratory, organisms were sorted, identified to species level and stored in a 70% ethanol solution. The parameters which are measured are: (1) total and specific abundances, (2) specific richness.
CaspianSeaMap 2025 Broad-Scale Predictive Habitat Map - Biological Zones

Predictive Biological Zone layer produced by EMODnet Seabed Habitats as an input layer for the 2025 EUSeaMap broad-scale habitat model for the Caspian region. The extent of the mapped area includes the Caspian sea. The map of biological zone was produced using underlying physical data and thresholds derived from statistical analyses or expert judgement on known conditions.

The model is produced in R and Arc Model Builder (10.1). The model was created using raster input layers with a cell size of 0.00104dd (roughly 100 meters). The model includes the sublittoral zone only (Infralittoral to Abyssal zone).

The biological zones include:
Infralittoral
Offshore circalittoral
Circalittoral
Bathyal
Abyssal

An accompanying confidence layer is available for viewing and download from EMODnet Seabed Habitats - metadata is linked in the 'Composed of' section below.

A report on the methods used in the 2025 version of CaspianSeaMap will be published in due course and the report on previous version (v2023) is linked in lineage.

Credit: Licensed under CC-BY 4.0 from the European Marine Observation and Data Network (EMODnet) Seabed Habitats initiative (https://emodnet.ec.europa.eu/en/seabed-habitats), funded by the European Commission.
CaspianSeaMap 2025 Broad-Scale Predictive Habitat Map

Output of the 2025 EUSeaMap broad-scale predictive model for the Caspian region, produced by EMODnet Seabed Habitats.

The extent of the mapped area includes the Caspian Sea.

The map was produced using a "top-down" modelling approach using classified habitat descriptors to determine a final output habitat.

Habitat descriptors differ per region but include:
Biological zone
Seabed substrate

Habitat descriptors (excepting Substrate) are calculated using underlying physical data and thresholds derived from statistical analyses or expert judgement on known conditions.

The model is produced using R and ArcGIS Pro. 

The model was created using raster input layers with a cell size of 0.00104dd (roughly 100 metres). The model includes the sublittoral zone only; due to the high variability of the littoral zone, a lack of detailed substrate data and the resolution of the model, it is difficult to predict littoral habitats at this scale.

A bespoke classification of benthic broad habitat types was developed as part of EMODnet Seabed Habitats. The classification of benthic broad habitat types used in column AllcombD was created as part of EMODnet Seabed Habitats. In column All2019DL2, benthic broad habitat types are described according to EUNIS 2022 classification level 2. In column MSFD_BBHT benthic broad habitat types are described according to MSFD classification.

An accompanying confidence layer is available for viewing and download from EMODnet Seabed Habitats - metadata is linked in the 'Composed of' section below.

A report on the methods used in the 2025 version of CaspianSeaMap will be published in due course and the report on previous version (v2023) is linked in lineage.

Credit: Licensed under CC-BY 4.0 from the European Marine Observation and Data Network (EMODnet) Seabed Habitats initiative (https://emodnet.ec.europa.eu/en/seabed-habitats), funded by the European Commission.
CaspianSeaMap 2025 Broad-Scale Predictive Habitat Map - Confidence in Classification of Biological Zones (Habitat Descriptor)

Confidence in the classification of biological zones in the 2025 CaspianSeaMap broad-scale predictive habitat map, as there were no changes to the biological zones in the 2025 update the confidence remains the same as the 2023 version.

Values are on a range from 1 (Low confidence) to 3 (High confidence).

Biological Zone is one of the layers of information used to categorise physical habitat types in EUSeaMap; these layers of information are collectively known as 'habitat descriptors'. Confidence in the classification of a Biological Zone at any location is driven by both the confidence in the values of the input variables, and the confidence in the classification based on proximity to, and uncertainty in, the boundary between classes (i.e. areas closer to a boundary between two classes will have lower confidence). 

A report on the methods used in the 2025 version of CaspianSeaMap will be published in due course and the report on previous version (v2023) is linked in lineage.

Created by the EMODnet Seabed Habitats project consortium.

Credit: Licensed under CC-BY 4.0 from the European Marine Observation and Data Network (EMODnet) Seabed Habitats initiative (https://emodnet.ec.europa.eu/en/seabed-habitats), funded by the European Commission.
OSPAR Habitats in the North-East Atlantic Ocean - 2025 Polygon Records

This is a compilation of OSPAR habitat polygon data for the northeast Atlantic submitted by OSPAR contracting parties. The compilation is coordinated by the UK's Joint Nature Conservation Committee, working with a representative from each of the OSPAR coastal contracting parties. This public dataset does not contain records relating to sensitive species (e.g. Ostrea edulis) in specific areas, or where data are restricted from public release by the owner's use limitations.

The points data related to the OSPAR 2025 dataset is linked below.
CaspianSeaMap 2025 Broad-Scale Predictive Habitat Map - Confidence in Classification of Seabed Substrate Type (Habitat Descriptor)

Confidence in the classification of substrate type in the 2025 CaspianSeaMap broad-scale predictive habitat map, this was updated in the 2025 version. 

Values are on a range from 1 to 3 (1=low confidence, 2=medium confidence, 3=high confidence).

Substrate type is one of the layers of information used to categorise physical habitat types in EUSeaMap; these layers of information are collectively known as 'habitat descriptors'. The substrate layer confidence was obtained from reclassification and standardisation of the confidence scores associated with each primary layer used to create the Substrate types layer.

A report on the methods used in the 2025 version of CaspianSeaMap will be published in due course and the report on previous version (v2023) is linked in lineage.

Created by the EMODnet Seabed Habitats project consortium.

Credit: Licensed under CC-BY 4.0 from the European Marine Observation and Data Network (EMODnet) Seabed Habitats initiative (https://emodnet.ec.europa.eu/en/seabed-habitats), funded by the European Commission.
Persistence index of juveniles of Trachurus spp. in the Portuguese continental coast

This Persistence index of juveniles of Trachurus spp. in the Portuguese continental coast was calculated following Colloca et al. (2015) for project Minouw.
			Using data from PT-IBTS (2002-2011), geostatistical methods were performed for each year. Density hot spots were outlined on the annual maps using Hot Spot Analysis (Getis-Ord Gi*) and persistente zone of undersized indivuduals was calculated for the overlapped years.
			More information on Technical report: Science, Technology, and Society Initiative to Minimize Unwanted Catches in European Fisheries WP1. Ecological, socioeconomic and technical characteristics of discarding fisheries Deliverable 1.2 GIS maps (juveniles) Responsible beneficiary: 1 -CSIC Contractual due date: month 24 Dissemination level: PUBLIC Report Status: FINAL Actual submission
EMODnet Human Activities, Other Forms of Area Management, Advisory Councils

The dataset on the European Union's fisheries Advisory Councils was created in 2014 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is updated as soon as any changes are made in any of the Advisory Councils and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains polygons representing the geographical scope, jurisdiction and information for each of the Advisory Councils of the European sea basins. Each polygon has the following attributes (where available): Name, Members, Scope, Sea basin, Legal foundation date, Legal foundation document and a URL-link to the Advisory Council's website.
EUSeaMap (2023) Broad-Scale Predictive Habitat Map for the Caspian - Confidence in classification of biological zones

Confidence in the classification of biological zones in the EUSeaMap (2023) broad-scale predictive habitat map for the Caspian Sea.

Values are on a range from 1 (Low confidence) to 3 (High confidence).

Biological Zone is one of the layers of information used to categorise physical habitat types in EUSeaMap; these layers of information are collectively known as 'habitat descriptors'. Confidence in the classification of a Biological Zone at any location is driven by both the confidence in the values of the input variables, and the confidence in the classification based on proximity to, and uncertainty in, the boundary between classes (i.e. areas closer to a boundary between two classes will have lower confidence). 

Layers are also available showing confidence in the values of the input variables used to model Biological Zones.

Detailed information on the modelling process is found in the EMODnet Seabed Habitats technical reports and its appendices (links in Resources).

Created by the EMODnet Seabed Habitats project consortium.