AndreaBozzo/ceres-open-data-index huggingface dataset:
EMODnet Digital Bathymetry (DTM 2024) - Tile D1

The "EMODnet Digital Bathymetry (DTM)- 2024" 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 22032 bathymetric survey data sets and Composite DTMs that have been gathered from 66 data providers from 28 countries riparian to European seas and beyond. Also Satellite Derived Bathymetry data products have been included fro Landsat 8 and Sentinel satellite images. Areas not covered by observations are completed by integrating GEBCO 2024 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 contains > 41.000survey data sets from European data providers for global waters. The Composite DTMs can be discovered through the Sextant Catalogue service. Both discovery services make use of SeaDataNet standards and services and have been integrated in the EMODnet portal (https://emodnet.ec.europa.eu/en/bathymetry#bathymetry-services ).
In addition, the EMODnet Map Viewer (https://emodnet.ec.europa.eu/geoviewer/ ) 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 59 tiles in different formats: ESRI ASCII, XYZ, EMODnet CSV, NetCDF, 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.
EMODnet Digital Bathymetry (DTM 2024) - Tile F5

The "EMODnet Digital Bathymetry (DTM)- 2024" 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 22032 bathymetric survey data sets and Composite DTMs that have been gathered from 66 data providers from 28 countries riparian to European seas and beyond. Also Satellite Derived Bathymetry data products have been included fro Landsat 8 and Sentinel satellite images. Areas not covered by observations are completed by integrating GEBCO 2024 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 contains > 41.000survey data sets from European data providers for global waters. The Composite DTMs can be discovered through the Sextant Catalogue service. Both discovery services make use of SeaDataNet standards and services and have been integrated in the EMODnet portal (https://emodnet.ec.europa.eu/en/bathymetry#bathymetry-services ).
In addition, the EMODnet Map Viewer (https://emodnet.ec.europa.eu/geoviewer/ ) 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 59 tiles in different formats: ESRI ASCII, XYZ, EMODnet CSV, NetCDF, 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.
Presence/Absence maps of phytoplankton in the Greater North Sea

The project aims to produce comprehensive data product of the  occurence and absence of (phyto)plankton species. As a basis, data from  EMODnet Biology are used. The selection of relevant datasets is  optimized in order to find all planktonic species, and exclude all  species that are not planktonic. The occurences from EMODnet Biology  were complemenented with absence data assuming fixed species lists  within each dataset and year. The products are presented as maps of the  distribution of the 100 most common species of (phyto)plankton in the  Greater North Sea.

This product then is also used for interpolated maps, using the DIVA software.
BEWREMABI dataset: Belgische wrakken - hotspots voor mariene biodiversiteit: Meiofauna

Data gathered during BEWREMABI project sampling campaigns
Data was gathered during BEWREMABI project (part of SPSD-II federal science policy programme) sampling campaigns. Epifauna was scraped from horizontal or vertical quadrates. On board the meiofauna was separated from the macrofauna and the meiofauna samples were identified to species level.
NIOZ Fish Survey 1961-1964 in Western Wadden Sea

The first inventory of seasonal patterns in the demersal fish fauna of the western part of the Dutch Wadden Sea took place from November 1961 to November 1962 by regular monthly trawling surveys in the Marsdiep, Vlie and Borndiep basin. The programme was supervised by dr. Freek Creutzberg and dr. Mark Fonds. Sampling took place with RV Max Weber, with a 2 m beam trawl. All the fish were identified and measured on board. In total 193 hauls were made during 13 cruises.
The Max Weber cruises were the first systematic description of the seasonal patterns in occurrence of the demersal fish fauna in the western Wadden Sea.  The second extensive inventory of the demersal fish fauna of the western part of the Dutch Wadden Sea took part from October 1963 to October 1964 by regular monthly trawling surveys in the Marsdiep and Vlie basin. The programme was initiated and supervised initially by dr. Freek Creutzberg and in the course of time taken over by dr. Mark Fonds. Sampling took place with RV Ephyra, launched in 1963 as successor of RV Max Weber. In contrast to the previous survey by RV Max Weber, fishing was done with an otter trawl instead of a beam trawl on a number of fixed stations. All the fish were identified and measured on board. In total 16 cruises each of about 44 hauls were performed. The programme lasted for more than a year.
Microzooplankton-North Adriatic-Gulf of Trieste, C1-LTER time-series 1998-2010

Regular monitoring of abundance of major taxonomic microzooplankton groups collected at monthly frequency at 0.5, 5, 10 and 15 m depth in the Gulf of Trieste, station C1 (1998-2010).
The C1 station, located in the Gulf of Trieste in the northern part of the Adriatic Sea, is part of the Adriatic Long Term Ecological Research (LTER) site.
MAR-ECO 2004

MAR-ECO (2003 - 2010) was an international exploratory study of the animals inhabiting the northern mid-Atlantic.
Scientists from 16 nations around the northern Atlantic Ocean participated in research of the waters around the mid-Atlantic Ridge from Iceland to the Azores. This data set is subset of the data collected, and comprises presence/absence records for zooplankton, nekton and epibenthos, collected in 2004 on R/V G.O. Sars and M/S Loran. Marine mammals and birds recorded on the same expedition are given in a separate data set. Sampling details described in Wenneck, T. de Lange, Falkenhaug, T. and O.A. Bergstad. 2008. Strategies, methods, and technologies adopted on the RV G.O. Sars MAR-ECO expedition to the mid-Atlantic Ridge in 2004. Deep-sea Research II. 55: 6-28.
SHARK - National Epibenthos monitoring in Sweden since 1992

Epibenthos has been nationally monitored in Sweden since 1992. The monitoring program was initiated by the Swedish Environmental Protection Agency and later the Swedish Agency for Marine and Water Management took over the responsibility and financing of the program. The monitoring is performed by Stockholm University, University of Gothenburg and Linnaeus University.  The data is stored in the database SHARK, hosted and maintained by the Swedish Meteorological and Hydrological Institute. The epibenthos monitoring program studies hard and soft bottoms from the surface down to 10-20 meters. Data is collected in transects or squares with help of divers. Species abundances are determined directly by the divers or photographs are taken and analyzed later.  More information is available in Swedish at https://www.havochvatten.se/hav/samordning--fakta/miljoovervakning/miljoovervakningens-programomrade-kust-och-hav/delprogram-vegetationskladda-bottnar.html
Data is collected in transects or squares with help of divers. Species abundances are determined directly by the divers or photographs/video are taken and analyzed later. Discipline: Marine biology; Datatype: Epibenthos; Measuring area type: point; Platform class: diver, video, photo; Parameters: # counted, Abundance, Abundance, Abundance class, Cover (%), Dry weight, Salinity, Sediment deposition cover (%), Sediment deposition cover (class), Species distribution max depth, Species distribution min depth, Temperature, Total cover of all species (%). 

More information about the method is available in Swedish at https://www.havochvatten.se/hav/samordning--fakta/miljoovervakning/miljoovervakningens-programomrade-kust-och-hav/delprogram-vegetationskladda-bottnar.html
Beach Litter - Median number of cigarette related items normalized per 100m & to 1 survey - UNEP_MARLIN only - Other sources 2012/2014 v2021

This visualization product displays the cigarette related items abundance of marine macro-litter (> 2.5cm) per beach per year from non-MSFD monitoring surveys, research & cleaning operations related to UNEP-MARLIN data only.


EMODnet Chemistry included the collection of marine litter in its 3rd phase. Since the beginning of 2018, data of beach litter have been gathered and processed in the EMODnet Chemistry Marine Litter Database (MLDB).
The harmonization of all the data has been the most challenging task considering the heterogeneity of the data sources, sampling protocols and reference lists used on a European scale.


Preliminary processing were necessary to harmonize all the data:
		- Selection of surveys from non-MSFD monitoring, cleaning and research operations;
		- Exclusion of beaches without coordinates;
		- Selection of cigarette related items only. The list of selected items is attached to this metadata. This list was created using EU Marine Beach Litter Baselines and EU Threshold Value for Macro Litter on Coastlines from JRC (these two documents are attached to this metadata);
		- Exclusion of surveys without associated length;
		- Selection of surveys referring to the UNEP-MARLIN list: the UNEP-MARLIN protocol differs from the other types of monitoring in that cigarette butts are surveyed in a 10m square. To avoid comparing abundances from very different protocols, the choice has been made to distinguish in two maps the cigarette related items results associated with the UNEP-MARLIN list from the others;
		- Normalization of survey lengths to 100m & 1 survey / year: in some case, the survey length was not 100m, so in order to be able to compare the abundance of litter from different beaches a normalization is applied using this formula:
		Number of cigarette related items of the survey (normalized by 100 m) = Number of cigarette related items of the survey x (100 / survey length)
		Then, this normalized number of cigarette related items is summed to obtain the total normalized number of cigarette related items for each survey. Finally, the median abundance of cigarette related items for each beach and year is calculated from these normalized abundances of cigarette related items per survey.

Percentiles 50, 75, 95 & 99 have been calculated taking into account cigarette related items from other sources data (UNEP-MARLIN protocol only) for all years.


More information is available in the attached documents.


Warning: the absence of data on the map doesn't necessarily mean that they don't exist, but that no information has been entered in the Marine Litter Database for this area.
EMODnet Digital Bathymetry (DTM 2022) - Tile D5

The "EMODnet Digital Bathymetry (DTM)- 2022" 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 21937 bathymetric survey data sets and Composite DTMs that have been gathered from 64 data providers from 28 countries riparian to European seas and beyond. Also Satellite Derived Bathymetry data products have been included fro Landsat 8 and Sentinel satellite images. Areas not covered by observations are completed by integrating GEBCO 2022 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 2022 contained > 41.000survey data sets from European data providers for global waters. The Composite DTMs can be discovered through the Sextant Catalogue service. Both discovery services make use of SeaDataNet standards and services and have been integrated in the EMODnet portal (https://emodnet.ec.europa.eu/en/bathymetry#bathymetry-services ).
In addition, the EMODnet Map Viewer (https://emodnet.ec.europa.eu/geoviewer/ ) 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.
BIOMAERL.Maerl Biodiversity.Functional Structure And Antropogenic Impacts (1996-1998)

In this study, performed under the LifeWatchGreece infrastructure, are presented preliminary results from the digitization of biodiversity data from various sampling expeditions carried out from 1996 to 1999. The main purposes of the project were to examine the biodiversity of mäerl habitats in European seas, assess the anthropogenic impacts and develop conservation strategies for European mäerl beds. Twelve sampling sites were selected. Six of them were subjected to anthropogenic impacts and the other six represented pristine conditions as far as possible. Overall, 4127 records of marine biota were digitized belonging to phyla of the kingdoms Bacteria, Plantae, Chromista and Animalia
12 sapmpling stations. 
The dataset includes an inventory of records of 253 sampling expeditions during 1996 -1998 period. In total, 12 sampling sites from UK, France, Malta and Spain were selected, from which half of them were corresponded to affected locations and the rest to reference locations. 
The sampling equipment and the methods used were the following: beam trawls, scallop dredges, Naturalist's dredges, ring dredges, bucket dredges, van Veen grabs, Day grabs, Jonasson - Olausson box cores, Senckenberg box cores, hand-held cores, air-lifting, resin cast cores, resin cast burrows, video from a Remote Operated Vehicle, 1m2 quadrats, SCUBA, AQUAREVE dredges, Reineck box cores and Smith-Mclntyre grabs, water samples,Rallier du Baty samples, vertical sampler cores, hand vane testers, plankton nets, Secchi disc.
All records were digitized and species names were cross-checked and taxonomically updated using the Taxon Match tool “World Register of Marine Species” (http://www.marinespecies.org/aphia.php?p=match).
Northern Cyprus 2006-08: Loggerhead Turtles (aggregated per 1-degree cell)

Abstract: The Marine Turtle Conservation Project is a project of the Marine Turtle Research Group and has been monitoring the nesting beaches of Northern Cyprus since 1992. The project is in collaboration with the Society for the Protection of Turtles in Northern Cyprus (SPoT) and the Department of Environmental Protection. In Northern Cyprus both green and loggerhead turtles nest. Green turtles in the Mediterranean are listed as endangered by the IUCN, with estimates suggesting that there are as few as 300-400 females nesting annually in this region. Loggerhead turtles nest in slightly greater numbers, with approximately 2000-3000 females nesting annually. Approximately 30 % of the green and 10% of the loggerhead turtles in the Mediterranean nest in Northern Cyprus.
Original provider: Annette Broderick Dataset credits: Data provider Marine Turtle Research Group Originating data center Satellite Tracking and Analysis Tool (STAT) Project partner Marine Turtle Research Group (Annette Broderick, Wayne, Fuller and Brendan Godley) of the University of Exeter, UK, and the Society for the Protection of Turtles in Northern Cyprus (SPoT) Project sponsor or sponsor description This project is supported by British Chelonia Group, Cyprus Turkish Airlines and Natural Environment Research Council. In addition, Liff Primary School have supported the MTCP over many years with their fund-raising efforts. 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.
Kinetic energy at the seabed due to waves along Portuguese coast (mean of annual 90th percentile)

90th percentile Kinetic energy due to waves at the seabed along Portuguese coasts - Created by the MARETEC team at Instituto Superior T├®cnico (IST) (Technical University of Lisbon, Portugal) using WAVEWATCH III model. For the purpose of MeshAtlantic Project, values were integrated over 3 years. Values are averages of annual percentiles 90th. The spatial resolution of the dataset is 0.05 decimal degrees (4.5km).
Special Areas Of Conservation

These are prime wildlife conservation areas in the country, considered to be important on a European as well as Irish level.  Detailed conservation objectives are available for some SACs and as additional ones are approved they will be posted on the NPWS website (www.npws.ie). The legal basis on which SACs are selected and designated is the EU Habitats Directive, transposed into Irish law in the as amended in 1998 and 2005. The Directive lists certain habitats and species that must be protected within SACs.

The areas chosen as SAC in Ireland cover an area of approximately 13,500 sq. km. Roughly 53% is land, the remainder being marine or large lakes.  Across the EU, over 12,600 sites have been identified and proposed, covering 420,000 sq. km of land and sea, an area the size of Germany.
Temperature time series from permanent mooring at North Minorca Marine Reserve - Is. Porros (Balearic Islands, Western Mediterranean Sea)

The Spanish Institute of Oceanography (IEO-CSIC) and the Jaume Ferrer Research Station (IEO-CSIC, GOIB) maintains a mooring to record temperature data at different depths along the coastal area of Isla de Porros, within the boundaries of the North Minorca Marine Reserve (40º05.49'N, 004º04.43'E); Balearic Islands, Western Mediterranean). This time series mooring is funded since its beginning in 2014 by the General Direction of Universities and Research within the Balearic Islands Government (GOIB). The collected data provides high-resolution temporal data on seasonal temperatures, stratification dynamics and detection of extreme events. The data also contributes to the T-MED-NET network (http://www.t-mednet.org) for the monitoring of climate change effects in marine coastal ecosystems of the Mediterranean Sea, such as mortality events related to heatwaves or distribution of endemic and non-native species. Assessing the effects of climate change on coastal ecosystems requires long-term monitoring of essential climate-related variables, including the oceanographic thermal regime. The temperature mooring system uses in situ temperature sensors (HOBOS Pro v2) that record hourly data at 5, 10, 15, 20, 25, 30, 40 meters depth. Sensors are setup and recovered by scuba divers twice a year, generally in spring and autumn. The current length of the historical series has allowed for careful quality control to correct potential sensor failures and drifts, as well as the systematic assignment of quality flags that add value to the timeseries. Additionally, the adoption of standard formats and vocabularies recognized at the European and international level facilitates the reuse of these data in different contexts. Data are provided in SDN-Medar/MedAtlas format monthly files. 
Important Note: This submission has been initially submitted to SEA
scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI.
The metadata elements have been further processed (refined) in EMODnet
Ingestion Service in order to conform with the Data Submission Service
specifications.