AndreaBozzo/ceres-open-data-index huggingface dataset:
Marine Recorder Snapshot extract of surveys entered by SeaSearch

This dataset consists of surveys entered by SeaSearch
The UK Marine Recorder public snapshot is an aggregated UK-wide marine dataset, published on a 6monthly basis. Data are collated by JNCC from publicly accessible data provided to JNCC by UK governmental and non-governmental conservation bodies from data holdings within each organisation’s internal “Marine Recorder” marine data management database application. Marine Recorder is a benthic survey data management system used widely within the UK’s statutory nature conservation bodies to store and query benthic sample data across the UK’s offshore and inshore waters. The system is able to store species occurrence data (with associated measurements), biotope information in the Marine Habitat Classification for Britain - Ireland and physical attribute data. The system maintains consistency and relationships between sample information, measurements and surveys allowing for accessible querying of the database. Contributors to the snapshot are: Centre for Environmental Data and Recording (CEDaR, Northern Ireland); Data Archive for Seabed Species and Habitats (DASSH); Joint Nature Conservation Committee; Natural England; Natural Resources Wales; Porcupine Marine Natural History Society; Scottish Natural Heritage; Seasearch (Marine Conservation Society); Shoresearch Kent Wildlife Trust and The Wildlife Trusts
The GEBCO_2020 Grid - A continuous terrain model of the global oceans and land

The GEBCO_2020 Grid was released in May 2020 and is the second global bathymetric product released by the General Bathymetric Chart of the Oceans (GEBCO) and has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project.

The GEBCO_2020 Grid provides global coverage of elevation data in meters on a 15 arc-second grid of 43200 rows x 86400 columns, giving 3,732,480,000 data points.
Grid Development
The GEBCO_2020 Grid is a continuous, global terrain model for ocean and land with a spatial resolution of 15 arc seconds.
The grid uses as a ‘base’ Version 2 of the SRTM15+ data set (Tozer et al, 2019). This data set is a fusion of land topography with measured and estimated seafloor topography. It is augmented with the gridded bathymetric data sets developed by the four Seabed 2030 Regional Centers.
The Regional Centers have compiled gridded bathymetric data sets, largely based on multibeam data, for their areas of responsibility. These regional grids were then provided to the Global Center.
For areas outside of the polar regions (primarily south of 60°N and north of 50°S), these data sets are in the form of 'sparse grids', i.e. only grid cells that contain data were populated. For the polar regions, complete grids were provided due to the complexities of incorporating data held in polar coordinates.
The compilation of the GEBCO_2020 Grid from these regional data grids was carried out at the Global Center, with the aim of producing a seamless global terrain model.
In contrast to the development of the previous GEBCO grid, GEBCO_2019, the data sets provided as sparse grids by the Regional Centers were included on to the base grid without any blending, i.e. grid cells in the base grid were replaced with data from the sparse grids. This was with aim of avoiding creating edge effects, 'ridges and ripples', at the boundaries between the sparse grids and base grid during the blending process used previously. In addition, this allows a clear identification of the data source within the grid, with no cells being 'blended' values. Routines from Generic Mapping Tools (GMT) system were used to do the merging of the data sets.
For the polar data sets, and the adjoining North Sea area, supplied in the form of complete grids these data sets were included using feather blending techniques from GlobalMapper software version 11.0, made available by Blue Marble Geographic.
The GEBCO_2020 Grid includes data sets from a number of international and national data repositories and regional mapping initiatives. For information on the data sets included in the GEBCO_2020 Grid, please see the list of contributions included in this release of the grid (https://www.gebco.net/data_and_products/gridded_bathymetry_data/gebco_2020/#compilations).
Areas where ice concentration is more than 20% in the Barents Sea (mean over 1 year)

Shapefile showing areas where ice concentration in the Barents Sea in 2018 was on average more than 20%. The 20% threshold was derived from WMO ice classification and corresponds to "Very open drift ice". Data averaged by Ifremer and NIVA derived from CMEMS (Copernicus) ice concentration product (resolution 1km, temporal resolution 1 year- 2018).

Used in EUSeaMap 2021 to create the Arctic mask layer as an input layer for the 2021 EUSeaMap broad-scale habitat model

Created by the EMODnet Seabed Habitats project consortium.

A report on the methods used in the 2021 version of EUSeaMap (Vasquez et al., 2021) and reports on previous versions (v2016 and V2019) are linked in Online Resources.

Credit: Licensed under CC-BY 4.0 from the European Marine Observation and Data Network (EMODnet) Seabed Habitats initiative (www.emodnet-seabedhabitats.eu), funded by the European Commission.
Spain-Baleric Is. 2015 Loggerhead Turtles (aggregated per 1-degree cell)

Original provider: NOAA PIFSC Dataset credits: Data provider Fisheries Bycatch Research Group Originating data center Satellite Tracking and Analysis Tool (STAT) Supplemental information: Visit STAT's project page for additional information. This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
EMODnet Human Activities, Fisheries, Fishing Intensity

The datasets on fishing intensity in the EU waters by sea basin are created every year by the International Council for the Exploration of the Sea (ICES). In the 2020 Cogea started to collect and harmonize them according to the EMOdnet Human Activities dataset schema. The EMODnet dataset is updated yearly, as soon as new data from ICES Fishing Overviews are released, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). Where and when available, the fisheries overview fishing intensity data concern: i) the spatial distribution of average annual fishing effort (mW fishing hours) by ecoregion (Azores, Bay of Biscay and the Iberian Coast, Baltic Sea, Barents Sea, Celtic Seas, Faroes, Greater North Sea, Icelandic Waters, Norwegian Sea and Oceanic Northeast Atlantic) and by gear type (Beam trawls, Bottom otter trawls, Bottom seines, Dredges, Pelagic trawls and seines, Static gears). Fishing effort data are only shown for vessels >12 m having vessel monitoring systems (VMS); ii) the average annual subsurface (top) and surface (bottom) mobile bottom contacting fishing gear (i.e. bottom otter trawls, bottom seines, dredges, beam trawls) disturbance by ecoregion in the Bay of Biscay and the Iberian Coast, Baltic Sea, Barents Sea, Celtic Seas, Faroes, Greater North Sea, Icelandic Waters, Norwegian Sea and Oceanic Northeast Atlantic, expressed as average swept-area ratios (SAR). Due to data confidentiality issues, VMS/logbook data are anonymized and aggregated in a 0.05×0.05 degree grid prior to submission to ICES, using the C-squares geocode system (polygons). The last data loaded into the database, from the ICES 2025 Fishing Overview update or revision (where available), report the 2021-2024 averages. Historical data area also included in the database, starting from the 2020 fishing overview, and reporting the 2015-2018, 2017-2020, 2018-2021, 2019-2020 and 2019-2022 averages.
Black Sea - Contaminants aggregated datasets 1974/2023 v2025

EMODnet Chemistry aims to provide access to marine chemistry datasets and derived data products concerning eutrophication, acidity and contaminants. The importance of the selected substances and other parameters relates to the Marine Strategy Framework Directive (MSFD). This aggregated dataset contains all unrestricted EMODnet Chemistry data on potential hazardous substances, despite the fact that some data might not be related to pollution (e.g. collected by deep corer). Temperature, salinity and additional parameters are included when available. It covers the Black Sea. Data were harmonised and validated by the ‘National Institute for Marine Research and Development "Grigore Antipa" in Romania.		
The dataset contains water, sediment and biota profiles. The temporal coverage is 1974–2023 for water measurements, 1990–2023 for sediment measurements and 2008–2019 for biota measurements.
Regional datasets concerning contaminants are automatically harvested and the resulting collections are harmonised and validated using ODV Software and following a common methodology for all sea regions ( https://doi.org/10.6092/8b52e8d7-dc92-4305-9337-7634a5cae3f4 ). Parameter names are based on P01 vocabulary, which relates to BODC Parameter Usage Vocabulary and is available at: https://vocab.nerc.ac.uk/search_nvs/P01/ .
The harmonised dataset can be downloaded as as an ODV spreadsheet, which is composed of a metadata header followed by tab separated values. This spreadsheet can be imported into ODV Software for visualisation (more information can be found at: https://www.seadatanet.org/Software/ODV ). In addition, the same dataset is offered also as a txt file in a long/vertical format, in which each P01 measurement is a record line. Additionally, there are a series of columns that split P01 terms into subcomponents (substance, CAS number, matrix...).This transposed format is more adapted to worksheet applications (e.g. LibreOffice Calc).
Contaminants-Tributyltin: stations above/below LOD/LOQ v2019

This product displays the stations where tributyltin has been measured and the values present in EMODnet Chemistry infrastructure are either above or below the limit of detection or quantification (LOD/LOQ), i.e for the substance, in that station, quality values found in EMODnet validated dataset can be equal to 6, Q or 1.
It is necessary to take into account that LOD/LOQ can change with time. These products aggregate data by station, producing only one final value for each station (above, below or above/below).  
EMODnet Chemistry has included the gathering of contaminants data since the beginning of the project in 2009. 
For the maps for EMODnet Chemistry Phase III, it was requested to plot data per matrix (water,sediment, biota), per biological entity and per chemical substance. 
The series of relevant map products have been developed according to the criteria D8C1 of the MSFD Directive, specifically focusing on the requirements under the new Commission Decision 2017/848 (17th May 2017). The Commission Decision points to relevant threshold values that are specified in the WFD, as well as relating how these contaminants should be expressed (units and matrix etc.) through the related Directives i.e. Priority substances for Water. EU EQS Directive does not fix any threshold values in sediments. On the contrary Regional Sea Conventions provide some of them, and these values have been taken into account for the development of the visualization products.
To produce the maps the following process has been followed:
    1. Data collection through SeaDataNet standards (CDI+ODV)
    2. Harvesting, harmonization, validation and P01 code decomposition of data
    3. SQL query on data sets from point 2 
    4. Production of map with each point representing at least one record that match the criteria
The harmonization of all the data has been the most challenging task considering the heterogeneity of the data sources, sampling protocols.
Preliminary processing were necessary to harmonize all the data :
    • For water: contaminants in the dissolved phase;
    • For sediment: data on total sediment (regardless of size class) or size class < 2000 μm
    • For biota: contaminant data will focus on molluscs, on fish (only in the muscle), and on crustaceans
    • Exclusion of data values equal to 0
Observe LL: Observation data of retained catch and discards of French tropical longline fishery

Data collected by at sea by professional observers (OB) and self-reported by fishermen (SR). This program is funded by EU DCF (2007-2013) and EU FEAMP (2014-2020).
Commercial pelagic longline fisheries performed by French longliners based in Réunion Island and Mayotte. Retained catch and discards were monitored exhaustively.
Modeled density map of Syringammina fragillissima at a fine scale from the Rockall Bank in North East Atlantic between 1981-2010

Fine scale density map of the xenophyophores Syringammina fragillissima (ind. m-2) at a 1200m deep station off Rockall Bank (North East Atlantic) by The University of Plymouth for the Deeplinks project. The drivers of the distribution of this species are poorly known despise its Vulnerable Marine Ecosystems (VME) status and more knowledge on its biology is needed to efficiently manage its conservation. A Convolutional Neural Network was used to measure its density in 58,147 images collected by the AUV autosub6000 during the JC136 cruise in May 2016. Several environmental data layers (topographic and oceanographic) at 2.5 x 2.5 m resolution were collected by the AUV during the same cruise and used in the modelling. Random Forest regression was used to predict the density of the target species in the extent of the environmental layer representing around 3 km2.

Citation: Piechaud, N.; Howell, K.; University of Plymouth (UoP), United Kingdom; (2023): Modeled density map of Syringammina fragillissima at a fine scale from the Rockall Bank in North East Atlantic between 1981-2010. https://marineinfo.org/doc/dataset/8141
DTM of the Bulgarian Black Sea South Shore

The composite Digital Terrain Model of the Bulgarian Black Sea South Shore is the result of the processing of a compilation of single and multibeam echosounder data gathered by Institute of Oceanology – BAS, Varna, bathymetric LiDAR data, data from harbor authorities and of digitized chart contours produced before 1998. The DTM at a source resolution of approximately 54 meters was compiled for inclusion into the EMODnet hydrography dataset.
Northeast Atlantic Ocean DIVA 4D analysis of Water_body_phosphate

Moving 10-years analysis of Phosphate at Northeast Atlantic Ocean for each season:
     - winter: January-March,
     - spring: April-June,
     - summer: July-September,
     - autumn: October-December

	 Every year of the time dimension corresponds to the 10-year centred average of each season. Decades span :
     - from 1963-1972 until 2005-2014 (winter)
     - from 1963-1972 until 2005-2014 (spring)
     - from 1964-1973 until 2005-2014 (summer)
     - from 1964-1973 until 2005-2014 (autumn)

Observational data span from 1962 to 2014.
	 
	 Depth range (IODE standard depths): -3000.0, -2500.0, -2000.0, -1750, -1500.0, -1400.0, -1300.0, -1200.0, -1100.0, -1000.0, -900.0, -800.0, -700.0, -600.0, -500.0, -400.0, -300.0, -250.0, -200.0, -150.0, -125.0, -100.0, -75.0, -50.0,-40.0,  -30.0, -20.0, -10.0, -5.0, -0.0 
	 
	 Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network.
	 
	 Description of DIVA analysis: Geostatistical data analysis by DIVA (Data-Interpolating Variational Analysis) tool. GEBCO 1min topography is used for the contouring preparation. Analyzed filed masked using relative error threshold 0.3 and 0.5 DIVA settings. Signal to noise ratio and correlation length were optimized and filtered vertically and a seasonally-averaged profile was used. Logarithmic transformation applied to the data prior to the analysis. Background field: the data mean value is subtracted from the data. Detrending of data: no, Advection constraint applied: no.
Units: umol/l
Dutch national shellfish monitoring in the coastal zone

Every year, Wageningen Marine Research carries out shellfish surveys in the Dutch coastal waters (Wadden Sea, Oosterschelde, Westerschelde and Coastal Zone), investigating the distribution and size of the most important commercial shellfish species. These are mainly mussels, cockles, knife hives and Japanese oysters, but also other species with a certain importance for ecology or fishing are included. In addition, catch data from professional fishing are also collected. The data is used by the government when deciding whether or not to permit fishing.
Furthermore, the survey data is important for the evaluation of control measures and impact studies in the context of Natura 2000 and the nature conservation law. Within the Natura 2000 areas of the Wadden Sea, Oosterschelde, Westerschelde, Voordelta and North Sea Coastal Zone, conservation objectives have been set for various bird species that rely on shellfish as a food source. In addition, shellfish banks are an important element in various habitat types
Cefas05 - Structure of nematode communities in the southwestern North Sea

This dataset provides information on the species composition and abundance of North Sea meiobenthic nematode assemblages
The meiobenthic nematode assemblages are studied in relation to a suite of environmental variables, biogeographical factors and potential anthropogenic impacts that determine the distribution of community types. Since nematodes had not yet been studied in detail in this region, the data provided novel insights into the relationship between nematode patterns and those of other faunal group in the study area.
SHARK - National environmental monitoring of Harbour seal in Sweden since 1988

The national monitoring program was initiated by the Swedish Environmental Protection Agency and is now financed by the Swedish Agency for Marine and Water Management.

The monitoring is performed by the Swedish Museum of Natural History.

Data is stored in the database SHARK, hosted and maintained by the Swedish Meteorological and Hydrological Institute.

Monitoring of seals is performed by counting seals from land, ship or airplane.

More information is available in Swedish at https://www.havochvatten.se/hav/samordning--fakta/miljoovervakning/miljoovervakningens-programomrade-kust-och-hav/delprogram-sal-och-havsorn.html
EMODnet Human Activities, Aquaculture, Shellfish aquaculture-Licensed sites

The dataset on licensed sites of shellfish aquaculture in the EU was created in 2023 by AND-International for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by national sources representing the delimitation of shellfish farms (polygons) in the following countries: France and Ireland. Data from France come from national and regional cadastral data, while data from Ireland comes from the list of registered aquaculture sites. Each polygon has the following attributes (where available): country, expiration date, farm type (Mussels, Oysters, Mussels-Oysters, Clams, Specialised (other), Mixed (other)), species from the source (English translation of the information provided on species grown or authorised in the source), production method (Beds, Long lines, Rafts, Saltwater closed (recirculation), Saltwater ponds, Saltwater tanks/raceways, Trestles or trays, Bouchot, On-bottom,  Sea cages, Other), production stage (Broodstock, Grow out for human consumption,  Harvest, Hatchery, Nursery,  Reproduction, Wild capture of seeds, Purification, Maturing, Other), purpose (only specified for some sites authorised for research purposes), polygon information (Lines to Polygon or Original) depending on how the information is provided in the source (polygons or lines), site_id,  year updated (in the source), shape length and shape area.  The farm type relies on a typology established by AND-International, based on available information on species grown or authorised. A relational table provides harmonised information about species grown or authorised using Eurostat nomenclature for the Species Group (Mussels; Oysters;  Clams, cockles, arkshells;  Scallops, pectens;  Abalones, winkles, conchs;  Sea-urchins and other echinoderms) and when available the species name (e.g. Blue mussels - Mytilus edulis). Data are available for viewing and download on EMODnet - Human Activities web portal ( https://emodnet.ec.europa.eu/en/human-activities.
EMODnet Digital Bathymetry (DTM 2020) - Tile G7

The "EMODnet Digital Bathymetry (DTM)- 2020" is a multilayer bathymetric product for Europe’s sea basins covering:
•  the Greater North Sea, including the Kattegat and stretches of water such as Fair Isle, Cromarty, Forth, Forties,Dover, Wight, and Portland 
•  the English Channel and Celtic Seas  
•  Western Mediterranean, the Ionian Sea and the Central Mediterranean Sea 
•  Iberian Coast and Bay of Biscay (Atlantic Ocean) 
•  Adriatic Sea (Mediterranean) 
•  Aegean - Levantine Sea (Mediterranean). 
•  Madeira and Azores (Macaronesia) 
•  Baltic Sea 
•  Black Sea 
•  Norwegian and Icelandic Seas 
•  Canary Islands (Macaronesia) 
•  Arctic region and Barentz Sea

The DTM is based upon more than 16360 bathymetric survey data sets and Composite DTMs that have been gathered from 49 data providers from 24 countries riparian to European seas. Also Satellite Derived Bathymetry data products have been included derived from Landsat 8 and Sentinel satellite images. Areas not covered by observations are completed by integrating GEBCO 2020 and IBCAO V4. 
The source reference layer in the portal viewing service gives metadata of the data sets used with their data providers; the metadata also acknowledges the data originators. The incorporated survey data sets itself can be discovered and requested for access through the Common Data Index (CDI) data discovery and access service that in December 2020 contained > 30.000 survey data sets from European data providers for global waters. This discovery service makes use of SeaDataNet standards and services and have been integrated in the EMODnet portal (https://emodnet.ec.europa.eu/en/bathymetry#bathymetry-services ). The Composite DTMs are described using the Sextant Catalogue Service that makes also use of SeaDataNet standards and services. Their metadata can be retrieved through interrogating the Source Reference map in the Central Map Viewing service (https://emodnet.ec.europa.eu/geoviewer/ ). 
In addition, the EMODnet Map Viewer gives users wide functionality for viewing and downloading the EMODnet digital bathymetry such as:
• water depth (refering to the Lowest Astronomical Tide Datum - LAT) in gridded form on a DTM grid of 1/16 * 1/16 arc minute of longitude and latitude (ca 115 * 115 meters).
• option to view depth parameters of individual DTM cells and references to source data
• option to download DTM in 58 tiles in different formats: ESRI ASCII, XYZ, EMODnet CSV, NetCDF (CF), GeoTiff and SD
• option to visualize the DTM in 3D in the browser without plug-in
• layer with a number of high resolution DTMs for coastal regions
• layer with wrecks from the UKHO Wrecks database.

The EMODnet DTM is also available by means of OGC web services (WMS, WFS, WCS, WMTS), which are specified at the EMODnet Bathymetry portal.  
The original datasets themselves are not distributed but described in the metadata services, giving clear information about the background survey data used for the DTM, their access restrictions, originators and distributors and facilitating requests by users to originator.
2011/8_SNH: Moray Firth: Southern Trench: 1/128

This marine multibeam survey took place in August 2011 in the area around Noss Head and the Southern Trench in the Moray Firth on board the Northern Lighthouse Board vessel NLV Pole Star. The survey was carried out by the British Geological Survey (BGS) on behalf of Marine Scotland and Scottish Natural Heritage (SNH) for Marine Protected Area (MPAs) related studies. Sea floor bathymetry data were collected using a Kongsberg EM3002D multibeam system.