AndreaBozzo/ceres-open-data-index huggingface dataset:
EMODnet Digital Bathymetry (DTM 2022) - Tile A6

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.
Turbidity and chlorophyll, data from the EGIM deployed on EMSO-Azores observatory, 2017-2018

This dataset contains turbidity, chlorophyll and the associated sensor raw data acquired between July 2017 and August 2018 on EMSO-Azores observatory by the EGIM. Tubidity is one of the 7 core parameters monitored by the (EGIM, EMSO Generic Instrumental Module)-[https://www.emso-fr.org/EMSO-Azores/Sensor-data-sheets/EGIM]. The EGIM prototype was deployed at Lucky Strike hydrothermal vent site, 25 m south west of the active edifice Tour Eiffel, to monitor local hydrodynamic variability and complement the data obtained by the numerous sensors set on this site: oceanographic mooring deployed south of the vent field, the multidisciplinary Seamon East node, autonomous current meters, array of temperature probes… Image Reference: https://www.seanoe.org/data/00454/56525/illustrations/illustration-40.gif.
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.
Multidiscipline historical database of the Black Sea (version III)

Dataset including physical, chemical and biological variables for the entire Black Sea basin.
Black Sea inter-disciplinary multivariable historical database was first created in the framework of the NATO SfS TU-Black Sea project in 1994-1997 and was further maintained in the framework of the NATO SfP ODBMS Black Sea Project. It includes all main physical, chemical and biological variables for the entire Black Sea basin and serves as a base line for contemporary and future research activities and management purposes in the region. More information on the initial database can be found here.

The DBMS was drastically updated within the NATO Science for Peace ODBMS Black Sea project in 1999-2002 including also creation of the Internet version of the database (http://sfp1.ims.metu.edu.tr/).

The initial database released after NATO TU Black Sea and NATO SfP ODBMS Black Sea Projects, was extended within the NATO Linkage Grant #980494 in 2004-2005 with 812 datasets and includes the quality controlled data for 148 variables from 1,117 data sets, including 14,147,397 data values for 74,532 oceanographic stations.

The created third version of the Black Sea Database includes:
• Main ODBMS database 
• Data of recent R/V "Akvanavt" expeditions (2001-2002 years)  
• The last R/V “Knor” Black Sea cruises (April - May, 2003)  
• Medar/Medatlas-II project database (Black Sea data for 1890 – 1998, that were not included in the ODBMS database) 

This version of the Database was released on CD ROM in May 2005. At the moment using of this CD ROM is restricted to the ODBMS Project participants only.

The IBSS data included in this version of the database are near the same as were included in the first version. Only one data set with biological data was added (Cape Lukul, coastal expedition, August 1992) and 13 data sets with chemical and physical data.

For the detailed information please contact Dr. Sukru Besiktepe (Besiktepe@nurc.nato.int).
FAMOSO Zooplankton

Zooplankton biomass in different size fractions (53–200 μm, 200–500 μm, 500–1000 μm, 1000–2000 μm and -gt;2000 μm) and abundance of major groups of zooplankton -gt; 500 μm during three cruises carried out in the open NW Mediterranean Sea in 2009, covering three contrasting periods of the seasonal productive cycle.
Black Sea - Eutrophication and Acidity aggregated datasets 1935/2023 v2024

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 eutrophication and acidity, and covers the Black Sea, Marmara Sea and Sea of Azov. Data were aggregated and quality controlled by 'National Institute for Marine Research and Development 'Grigore Antipa' in Romania.
ITS-90 water temperature and water body salinity variables have also been included ('as are') to complete the eutrophication and acidity data. If you use these variables for calculations, please refer to SeaDataNet for the quality flags: https://www.seadatanet.org/Products/Aggregated-datasets .
Regional datasets concerning eutrophication and acidity are automatically harvested, and the resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all sea regions ( https://doi.org/10.13120/8xm0-5m67 ). Parameter names are based on P35 vocabulary, which relates to EMODnet Chemistry aggregated parameter names and is available at: https://vocab.nerc.ac.uk/search_nvs/P35/
When not present in original data, water body nitrate plus nitrite was calculated by summing all nitrate and nitrite parameters. The same procedure was applied for water body dissolved inorganic nitrogen (DIN), which was calculated by summing all nitrate, nitrite, and ammonium parameters. Concentrations per unit mass were converted to a unit volume using a constant density of 1.025 kg/L.
The aggregated dataset can also be downloaded as an ODV collection and spreadsheet, which is composed of a metadata header followed by tab separated values. This spreadsheet can be imported to ODV Software for visualisation (more information can be found at: https://www.seadatanet.org/Software/ODV ).
Black Sea - Eutrophication and Acidity aggregated datasets 1935/2023 v2023

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 eutrophication and acidity, and covers the Black Sea, Marmara Sea and Sea of Azov. Data were aggregated and quality controlled by 'National Institute for Marine Research and Development 'Grigore Antipa' in Romania.
ITS-90 water temperature and water body salinity variables have also been included ('as are') to complete the eutrophication and acidity data. If you use these variables for calculations, please refer to SeaDataNet for the quality flags: https://www.seadatanet.org/Products/Aggregated-datasets.
Regional datasets concerning eutrophication and acidity are automatically harvested, and the resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all sea regions ( https://doi.org/10.13120/8xm0-5m67). Parameter names are based on P35 vocabulary, which relates to EMODnet Chemistry aggregated parameter names and is available at: https://vocab.nerc.ac.uk/search_nvs/P35/.
When not present in original data, water body nitrate plus nitrite was calculated by summing all nitrate and nitrite parameters. The same procedure was applied for water body dissolved inorganic nitrogen (DIN), which was calculated by summing all nitrate, nitrite, and ammonium parameters. Concentrations per unit mass were converted to a unit volume using a constant density of 1.025 kg/L.
The aggregated dataset can also be downloaded as an ODV collection and spreadsheet, which is composed of a metadata header followed by tab separated values. This spreadsheet can be imported to ODV Software for visualisation (more information can be found at: https://www.seadatanet.org/Software/ODV).
Dutch long term monitoring of phytoplankton in the Dutch Continental Economical Zone of the North Sea

Long term measurements of phytoplankton composition in the Dutch national part of the North Sea. Samples were taken 12 - 24 times per year between 1990 and 1999 and analysed to the level of genus, species, or other taxon group. The dataset has been used for assessment of the marine environment and habitat quality in the scope of the OSPAR Quality Status Reports and the Marine Strategy Framework Directive. Currently, there are known issues concerning the quality of the data caused by changes in analytic procedures and labs. When more information is available, this will be published through EMODnet.
The monitoring is directed and the dataset is maintained by Rijkswaterstaat, the executing body of the Dutch Ministery for Infrastructure and Environment. Publication of the dataset has been facilitated by Deltares, The Netherlands.
1915-2016 Department for Environment Food - Rural Affairs (Defra), Marine Strategy Framework Directive (MSFD) Collation of invasive non-indigenous species

A collation of datasets contributing to the MSFD baseline data for the current known distribution of non native species in the UK
A list consisting of 24  non-indigenous species representing a range of taxa with varying current distributions was created for the final monitoring list. Data were requested from all the major holders of marine biodiversity data e.g. statutory agencies and major databases, the NBN, Local Record Centres (LRCs), schemes and societies, the Natural History Museum (NHM), Wildlife Trusts, and (MEDIN and other) Data Archive Centres (DACs), for the target species. In addition a thorough literature review was carried out and data extracted from published material, as well as pers comms with non-native species experts.
Biodiversity of European macrobenthos by EUNIS seabed habitat types

This product is built from two existing EMODnet data products. It uses the EUSeaMap product created by EMODNet Seabed Habitats (https://emodnet.ec.europa.eu/en/seabed-habitats#seabed-habitat-products) and the Presence/absence data of macrozoobenthos in the European Seas product created by EMODnet Biology (https://github.com/EMODnet/EMODnet-Biology-Benthos-European-Seas) to obtain lists of all macrobenthic species occurring in all EUNIS seabed habitat types (https://doi.org/10.1016/j.marpolbul.2012.10.010). For the purposes of this product the seabed habitat map is summarised on a grid at approx. 500m resolution, with each grid cell assigned to the dominant EUNIS code present within it. Summaries of benthic diversity are created for each grid cell, as well as more synthetic summaries by EUNIS category. The full matched benthos community data was written to file in the derived data folder as benthos_full_matched in parquet format with gzip compression.
European Ocean Biodiversity Information System

The European Ocean Biodiversity Information System (EurOBIS) is a distributed system that allows you to search multiple datasets simultaneously for biogeographic information on marine organisms.
The European Ocean Biodiversity Information System "EurOBIS" is an integrated data system developed by the Flanders Marine Institute (VLIZ) for the EU Network of Excellence "Marine Biodiversity and Ecosystem Functioning" (MarBEF) in 2004. Its principle aims are to centralise the largely scattered biogeographic data on marine species collected by European institutions and to make these quality controlled data freely available and easily accessible. It is in essence a distributed system in which individual datasets go through a series of quality control procedures before they are integrated into one large consolidated database. EurOBIS is freely available online at www.eurobis.org, where marine biogeographical data - with a focus on taxonomy, temporal and spatial distribution - can be consulted and downloaded for analyses. 

EurOBIS acts as the European node of OBIS, the Ocean Biodiversity Information System of the Census of Marine Life (CoML). EurOBIS shares its data with OBIS, which in its turn shares its content with the Global Biodiversity Information Facility (GBIF).
Seismic profile Marsibal36 located in the proximal continental margin of the Spanish Alboran Sea

The seismic profile was collected using airgunguns located at a depth of 3.5 m and with a
shot frequency of 8 s. The penetration of the acoustic
signal was 2–3 s two-way travel time, and the resolution
was tens of metres (i.e., a middle resolution of 10/15 m).
The streamer was a SIG streamer with an active section of
150 m long, comprising three independent channels with
40 hydrophones each.
A GeoAcoustics Sonar Enhancement
System (SES) was used for the acquisition and
processing of the seismic signals from the streamer.
Sampling frequency was 1 ms.
Species distribution model of invasive macroalgae

<p>The number of marine seaweeds outside their natural boundaries has increased in the last decades generating impacts on biodiversity and economy. This makes the development of management tools necessary, where species distribution models (SDMs) play a crucial role. SDMs can help in the early detection of invasions and predict the extent of the potential spread. However, modelling non-native marine species distributions is still challenging in terms of model building, evaluation and selection. This product aims to predict the European distribution of four widespread introduced seaweed species (Asparagopsis armata, Caulerpa Taxifolia, Sargassum muticum and Undaria pinnatifida) selecting the best model building process.</p>
Combined DIVA 4D 6-year analysis of Water body dissolved inorganic nitrogen (DIN) 1983-2016 v2018

The analysis was performed per season using DIVA software tool (Data-Interpolating Variational Analysis). The analyses products are stored as NetCDF CF files and made available as WMS layers for easy browsing and adding. Every step of the time dimension corresponds to a 6-year moving average from 1983 to 2016. The depth dimension spans from surface to 1000 m, with 21 vertical levels.
The boundaries and overlapping zones between these regions were filtered to avoid any unrealistic spatial discontinuities. This combined water body dissolved oxygen concentration product is masked using the relative error threshold 0.5. Units: µmol/l Created by 'University of Liège, GeoHydrodynamics and Environment Research (ULiège-GHER)'. The data used as input for DIVA have been extracted from the EMODnet Chemistry Download Service: https://emodnet-chemistry.maris.nl/search
Intermediate regional data products: Mediterranean Sea - DIVA 4D 6-year analysis of Water body dissolved inorganic nitrogen (DIN) 1990/2016 v2018, North Sea - DIVA 4D 6-year analysis of Water body dissolved inorganic nitrogen (DIN) 1980/2017 v2018, Black Sea - DIVA 4D 6-year analysis of Water body dissolved inorganic nitrogen (DIN) 1990/2016 v2018, North East Atlantic Ocean - DIVA 4D 6-year analysis of Water body dissolved inorganic nitrogen (DIN) 1984/2017 v2018, Baltic Sea - DIVA 4D 6-year analysis of Water body dissolved_inorganic_nitrogen_(DIN) 1980/2016 v2018
Contaminants: Hydrocarbons (PAH) - Naphthalene (median values), v2023

This product displays for Naphthalene, median values of the last 6 available years that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2022. The median values ranges are derived from the following percentiles: 0-25%, 25-75%, 75-90%, >90%. Only "good data" are used, namely data with Quality Flag=1, 2, 6, Q (SeaDataNet Quality Flag schema). For water, only surface values are used (0-15 m), for sediment and biota data at all depths are used.
Holothuroidea distribution data from: Deep-sea fauna of European seas - an annotated species check-list of benthic invertebrates living deeper than 2000 m in the seas bordering Europe

An annotated check-list is given of Holothuroidea species occurring deeper than 2000 m in the seas bordering Europe.
The check-list is based on published data. The check-list includes 78 species. For each species synonymy, data on localities in European seas and general species distribution are provided. Station data are presented separately in the present thematic issue.
EMODnet Human Activities, Environment, Natura 2000

The dataset on Natura 2000 sites was created in 2014 by Cogea for the European Marine Observation and Data Network. It is entirely based on spatial data from the European Environmental Agency (EEA), plus selected EEA tabular data added as feature attributes, as well as the Cogea's calculation of marine and coastal location of features. It is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). Natura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs). The dataset covers the whole EU. Following the United Kingdom’s withdrawal from the EU on 31 January 2020, it ceased to be part of the EEA’s institutional networks and governance. In the webmap the EEA dataset has been filtered to show only (i) marine sites, i.e. sites with a marine area percentage higher than 0 (as calculated by the EEA) and (ii) sites that, even if not identified as marine by the EEA, intersect the EEA coastline or that are within a distance of 1 km from the coastline (using a 1 km inner buffer from the EEA coastline). In both cases the COAST_MAR field value=1. The EEA coastline dataset is available at https://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis-2. Where available, each polygon has the following attributes: site code, site name, country code, country name, site type (A, B, C), site description (Special Conservation Interest - SCI, Special Protection Areas - SPA, Both SPA and SCI), link to directive, area (ha), marine area percentage, release date, date classified as SPA, date confirmed as SCI, date designated as SAC, marine/coastal location of feature (1). Compared with the previous version, this one includes the updated datasets 'eea_v_3035_100_k_natura2000_p_2024_v01_r00' and 'eea_t_natura2000_p_2024_v01_r00', published by the EEA in December 2025. For further information (e.g. biogeographic region, directive, habitats, sites, impact, management, species and metadata) please visit the EEA's website hosting the Natura 2000 tabular data.
Report on the Danish Oceanographical expeditions 1908-1910 to the Mediterranean and adjacent seas - Pelagic Polychaetes

The present historical paper deals with the pelagic Polychaetes except the Tomopterids collected on the cruises of the "Thor", 1908-1910 in the Mediterannenan and adjacent waters.
The tables included in this report present also the scientific results from other research vessels such as "Dana" (years 1921 and 1930) and "S/S Pangan" (1911).

The majority of the catches were made with "Petersen's Young-fish Trawl" mostly with a diameter of 200cm and 330cm and stramin nets with dimeters of 100, 150 and 200cm: the fishing parts of these consist of stramin, a coarse canvas with abt 20 threads to 3cm. A few samples containing Polychaeta were taken with other apparatus, viz.5 samples with ring-trawl 130cm, 200cm and 300cm in diameter; 2 samples with open conical silk-net 100cm in diameter ;one with Nansen's closing net, 50 cm in diameter and finally one with rectangular dredge opening 27x117 cm.
MARECHIARA-phytoplankton long-term time-series (1984-2006) at the fixed coastal station in the Gulf of Naples, Southern Tyrrhenian Sea

The "MARECHIARA-phytoplankton" dataset contains phytoplankton data collected in the ongoing time-series at Stn MC ( 40°48.5' N, 14°15' E) in the Gulf of Naples. This dataset spans over the period 1984-2006 and contains data of phytoplankton species composition and abundance. Phytoplankton sampling was regularly conducted from January 1984 till July 1991 and in 1995-2006. Sampling was interrupted from August 1991 till January 1995. The sampling frequency was fortnightly till 1991 and weekly since 1995. Phytoplankton samples were collected at 0.5m depth using Niskin bottles and immediately fixed with formaldehyde (0.8-1.6% final concentration) for species identification and counts.
MEP-NSW Demersal fish

The main purpose of this sampling was to study the effects of the OWEZ windpark on the demersal fish community. Because before installation of the windfarm the main fisheries activity in the area was bottom trawling, it is expected that exclusion of fisheries in the wind farm has the largest effect on the demersal fish community. The wind farm and its safety zone could function as a refugium for these species. If the area functions as a refugium this could be the case for a large number of demersal fish species that occur in the Dutch coastal zone. Owing to this a positive effect of the wind farm on the demersal fish community was expected. The fisheries that occurred in the area targeted larger fish, therefore fisheries mortality was higher on the larger fish. By excluding fisheries in the farm it was expected to change the size distribution in the farm and by that the age distribution of the fish populations. A Hydrolab minisonde, attached to the net, was used for continuous CTD measurements.