AndreaBozzo/ceres-open-data-index huggingface dataset:
EMODnet Digital Bathymetry (DTM 2024) - Tile G2

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.
Seafloor litter - Spatial distribution of plastic bags density normalized per km² 2011/2024 v2025

This visualization product displays the spatial distribution of plastic bags density per trawl.

EMODnet Chemistry included the collection of marine litter in its 3rd phase. Since the beginning of 2018, data of seafloor litter collected by international fish-trawl surveys 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 (OSPAR and MEDITS protocols) and reference lists used on a European scale. Moreover, within the same protocol, different gear types are deployed during bottom trawl surveys.

In cases where the wingspread and/or number of items were/was unknown, it was not possible to use the data because these fields are needed to calculate the density. Data collected before 2011 are concerned by this filter.

When the distance reported in the data was null, it was calculated from:
- the ground speed and the haul duration using the following formula: Distance (km) = Haul duration (h) * Ground speed (km/h);
- the trawl coordinates if the ground speed and the haul duration were not filled in.

The swept area was calculated from the wingspread (which depends on the fishing gear type) and the distance trawled:
Swept area (km²) = Distance (km) * Wingspread (km)

Densities were calculated on each trawl and year using the following computation:
Density of plastic bags (number of items per km²) = ∑Number of plastic bags related items / Swept area (km²)

Then a grid with 30km x 30km cells was used to calculate the weighted mean of densities in each cell from the formula :
Weighted mean (number of items per km²) = ∑ (Distance (km) * Density (number of items per km²)) / ∑ Distance (km)

Percentiles 50, 75, 95 & 99 were calculated taking into account data for all years.

More information on data processing and calculation are detailed in the attached methodological document.

Warning: the absence of data on the map does not necessarily mean that they do not exist, but that no information has been entered in the Marine Litter Database for this area.

This work is based on the work presented in the following scientific article:
O. Gerigny, M. Brun, M.C. Fabri, C. Tomasino, M. Le Moigne, A. Jadaud, F. Galgani, Seafloor litter from the continental shelf and canyons in French Mediterranean Water: Distribution, typologies and trends, Marine Pollution Bulletin, Volume 146, 2019, Pages 653-666, ISSN 0025-326X, https://doi.org/10.1016/j.marpolbul.2019.07.030.
Underway fluorometer data from cruise ETS_2018_03_12

The dataset contains pairs of files with fluorometer data acquiured underway during the cruise. The first file in a pair named "fluoXX", where XX is sequentional number, contains raw output of fluorometer. Each record in the file contains: global time (seconds from 01/01/1970), internal No, date, time, Chl-a value, and temperature value.
The second file in a pair named "gpsXX" contains the respective GPS data: global time (seconds from 01/01/1970) and GPS GPGGA sentence in each record.
The fluorometer model: 10-AU-005-CE of Turner Design. The raw output from the autoranging fluorometer has no absolute meaning without calibration against sample data, however it allows to investigate spatial variablity of parameter.
Physicochemical characterization of the Cretan Sea between 2016 and 2017

The dataset contains information on abiotic parameters from Bay of Heraklion (Crete, Greece). Data include measurements from the water column and the sediment such as salinity, temperature, pH, oxygen concentration and Redox potential. Moreover, nutrient concentrations (NO2, NO3, NH4, PO4, SiO2) and sediment granulometry are included in the dataset. The samples were collected on October 2016 and July 2017 in the framework of JERICO-NEXT.
SHARK - National environmental monitoring of Grey seal in Sweden since 1989

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
Method step description:

Data is collected by counting seals from land, ship or airplane.
RECORD Cetacean data up to current day

This dataset contains Cetacean data for Cheshire, Halton, Warrington and Wirral. Data ranges from historic records to current day.
Purpose of data capture: The data has been collected for various reasons, including ecological surveys, amateur enthusiasm and also with the RECORD database specifically in mind.

Methods of data capture: Data is sourced from amateur naturalists, professional ecologists and the general public. These are then validated and veirified by a system of peer review conducted by a panel of local experts.

Geographical coverage: The area covered is the RECORD coverage area, which is the administrative areas of Cheshire County, Wirral MBC, Warrington BC and Halton BC. Some parts of Greater Manchester are included, which were formally part of Cheshire County (see http://www.record-lrc.co.uk/rECOrd.aspx?Mod=Article-ArticleID=4 for more details). Although RECORD try and acquire data from the whole of its coverage area, more densely populated areas tend to have more records associated with them. This generally creates a bias to north of the area where most of the large towns are situated.

Temporal coverage: Records are generally collected on an informal basis, and therefore can come from any time. Most of the time, years shortly before the present carry the largest amount of records.

Data quality: Collecting data on an informal basis means that no guarantees can be made that it comprehensively covers any particular time or place. However, it does mean that data comes from as many sources as possible and therefore usually has as detailed coverage as is possible at the time. In order the counter possible inaccuracies contained within data from such a range of sources, a validation system by local experts is used to highlight possible dubious records. These records do not make it on to the NBN Gateway.
Zooplankton data for Danish marine monitoring (ODAM) from 1991 - 2011

Data is an assembly of plankton monitoring stations situated between 54° and 58° North along the Danish coasts and in estuaries. There are 6 zooplankton stations that are visited 6 times per year. Samples are analyzed to estimate zooplankton composition and abundance. The individuals are either sized or staged and species is determined to lowest possible taxonomical level. This dataset includes multicellular prokaryotes as well as ciliates and same heterotrophic dinoflagellates.
The stations can be categorized as ‘open water’ stations or estuarine stations. The open water stations are all located in the “open” waters of the Kattegat – Belt Sea area (average depth 27.1 m ± std. dev16.4 m) forming the transition zone between the Baltic Sea and the North Sea. The water column at those stations is permanently stratified (Lyngsgaard et al. 2014) and the samples were collected from the mixed upper 10 meters that is periodically nutrient limited. Two stations were in the Wadden Sea, a shallow and turbid tidal area adjacent to the North Sea on the West Coast of Jutland. The remaining stations are located in shallow (average depth 7.9 m ± 6.5 m) estuaries with significant freshwater and hence nutrient inputs.
 
Salinities vary between 7 and 31. The highest salinities were found in the Limfjord and the lowest are close to the Baltic Sea or in enclosed estuaries. Data covered the period from 1989 to 2016. Over this period nutrient supply has decreased significantly, by 43 percent for nitrogen and by about 90 percent for phosphorous. 
 
Sampling, measurements and laboratory analyses were carried out by a number of different agencies but followed a common set of technical guidelines to ensure consistency. These guidelines are written in Danish language by are in-line with the guidelines given in the appropriate sections of the HELCOM COMBINE manual.
Cetaceans sightings by boat 2010-2016

Collecting data regarding sightings of the Black Sea cetacean at the Romanian coast.
In the Black Sea, 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 fishing nets. They are victims of the so-called bycatches.To protect the dolphin populations in the Romanian Black Sea area, the NGO "Mare Nostrum" started a series of activities in partnership with:the National Institute for Marine Research and Development "Grigore Antipa" Constanțathe Danube Delta Biosphere Reserve Authoritythe National Agency for Fishing and Aquaculturethe Natural Science Museum Complex "Dolphinarium" Constanțathe Border Police Inspectorate of Constanța CountyThis was done in conformity with the objectives of the "National Action Plan for Conservation of Dolphins" and the "Agreement on the Conservation of Cetaceans of the Black Sea, Mediterranean Sea and the contiguous Atlantic Area", and was financed by the European Union through the Sectorial Operational Programme - Environment. Among these activities we will present in the following study the situation of strandings and by-catch of dolphins in the Romanian costal waters during 2010 and 2011.The data were collected from the entire Romanian coast, from Sulina to Vama Veche. During the study more than 100 expeditions were done over land and water along the coast. The collected data recorded over 140 dead cetaceans and 1 alive. The maine cause of this mortality was due to drowning in the fishing nets. To reduce the number of bycatched dolphins we are studying the effect of pingers (ADD/Accustic Deterent Devices) on cetaceans and fishes. Therefore data were collected from five fishing units (Sulina, Vadu, Corbu, Midia, Costinești) equipped with these technologies. This measure of protecting the dolphins from the fishing nets is also proposed in ACCOBAMS.Observations were made by the border police (20 m boat), or on board small boats between 5-12 m long. Supplemental shore-based observations are available: Cetaceans along Romanian Black Sea Coast from shore 2010-2011 (http://seamap.env.duke.edu/dataset/833).
European seas - DIVAnd 4D monthly analysis of Water body phosphate 1960/2020 v2021

Water body phosphate - Monthly Climatology for the European Seas for the period 1960-2020 on the domain from longitude -45.0 to 70.0 degrees East and latitude 24.0 to 83.0 degrees North.
Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network.
Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.2, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length and vertical correlation length vary spatially depending on the topography and domain.
Depth range: 0.0, 5.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 55.0, 60.0, 65.0, 70.0, 75.0, 80.0, 85.0, 90.0, 95.0, 100.0, 125.0, 150.0, 175.0, 200.0, 225.0, 250.0, 275.0, 300.0, 325.0, 350.0, 375.0, 400.0, 425.0, 450.0, 475.0, 500.0, 550.0, 600.0, 650.0, 700.0, 750.0, 800.0, 850.0, 900.0, 950.0, 1000.0, 1050.0, 1100.0, 1150.0, 1200.0, 1250.0, 1300.0, 1350.0, 1400.0, 1450.0, 1500.0, 1550.0, 1600.0, 1650.0, 1700.0, 1750.0, 1800.0, 1850.0, 1900.0, 1950.0, 2000.0, 2100.0, 2200.0, 2300.0, 2400.0, 2500.0, 2600.0, 2700.0, 2800.0, 2900.0, 3000.0, 3100.0, 3200.0, 3300.0, 3400.0, 3500.0, 3600.0, 3700.0, 3800.0, 3900.0, 4000.0, 4100.0, 4200.0, 4300.0, 4400.0, 4500.0, 4600.0, 4700.0, 4800.0, 4900.0, 5000.0, 5100.0, 5200.0, 5300.0, 5400.0, 5500.0 m.
Units: umol/l.
The horizontal resolution of the produced DIVAnd analysis is 0.25 degrees.
Gridded abundance maps of the benthic species from the North Sea

Gridded abundance maps of selected benthos taxa in the North Sea. This product was developed with DIVA (Data-Interpolating Variational Analysis) and the Scale: log-transformed abundance. Data was derived from the 1986 North Sea Benthos Survey (Craeymeersh J., P. Kingston, E. Rachor, G. Duineveld, Carlo Heip, Edward Vanden Berghe, 1986: North Sea Benthos Survey.).
Gridded abundance map of the invasive Polychaete Marenzelleria in the Baltic Sea

Gridded abundance map of Polychaete worm Marenzelleria. This animated gridded abundance map shows how the species invaded the Baltic Sea from Danish waters in the 1990s and became abundant throughout the whole region. This animation shows that probably multiple invasions occurred at the same time. The species is part of the Descriptor 2, Non Indigenous Species of the MSFD and is being monitored under HELCOM. The product was developed with DIVA (Data-Interpolating Variational Analysis) and shows the log-transformed abundance. Data was provided by Sweden (SMH - Swedish Agency for Marine and Water Management; Swedish Meteorological and Hydrological Institute (SMHI); (2015): SHARK - Marine soft bottom macrozoobenthos monitoring in Sweden since 1971)), Finland (SYKE) and Denmark (Aarhus University - Josefson, A.; Rytter, D.; Department of Bioscience - AU, Denmark; (2015): Danish benthic marine monitoring data from ODAM).
Free-living nematodes of the C1-LTER station (Gulf of Trieste, Northern Adriatic Sea), 2010-2012

Monitoring of free-living nematodes at the C1-LTER station (Gulf of Trieste, northern Adriatic Sea), seasonal frequency from 07-2010 to 07-2012. The sampling was carried out by a KC Haps bottom corer with polycarbonate sample tubes (12.7 cm I.D. with a sample area of 127 cm2).
In laboratory, one sediment core was subsampled by means of 3 cut-off plastic syringes (2.7 cm I.D., surface area of 5.72 cm2, 0-10 cm top sediment) in order to obtain three pseudoreplicates. The nematodes (38–1000 mm) were extracted from sediment subsamples by sieving each pseudoreplicate and by centrifuging the material retained by a 38 μm mesh net with Ludox HS-40 (density of 1.15–1.18 g cm−3). For each pseudoreplicate, 100-120 nematodes were randomly picked out using a fine pin under a stereomicroscope (Zeiss Discovery V20, magnification 40×), transferred from formalin to glycerol through a series of ethanol-glycerol solutions and finally mounted on permanent glass slides in anhydrous glycerin. Nematodes were identified under a microscope (100x magnification) at the genus level using dedicated pictorial and identification keys.
EMODnet Digital Bathymetry (DTM 2022) - Tile D4

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.
Global Distribution and Diversity of Solenidae Species

This dataset was compiled after a careful data-collection and cleaning procedure over four years for Hanieh Saeedi PhD project. Data were collected using field sampling, literature and museum collections. Then all the records went through quality control procedures such as validating the taxonomy of the species by examining and re-identifying the specimens in museum collections and using taxonomic and geographic data quality control tools in the World Register of Marine Species (WoRMS) and the robis package (Provoost and Bosch 2017). This dataset can thus be further used for taxonomical and biogeographical studies of Solenidae