AndreaBozzo/ceres-open-data-index huggingface dataset:
Wreck Inventory of Ireland Database

Displays wrecks from the National Monuments Service’s Wreck Inventory of Ireland Database (WIID) for which there is a recorded location. There is data held within the WIID on a large number of wrecks for which we have no precise recorded location, co-ordinate or known extent.

Of the approximate 18,000 records, only 4,000 have precise locations leaving approximately 14,000 wrecks in the WIID database for which a location has yet to be confirmed. The location given equates with the known approximate centre point of the wreck and is not indicative of its geographic or spatial extent. Wrecks in the database have a summary description, providing information on the original vessel, their history, voyage, cargo, passengers and the story of its loss, where known. The data has been collated from a variety of sources including INFOMAR, UKHO, wrecksite.eu and uboat.net.
Harpacticoida from a scientific cruise of the R. "Akademik" in the western part of the Black Sea

Data on Harpacticoida from field survey during a scientific cruise of RV "Akademik" (Institute Oceanology, BAS) in the western part of the Black Sea in September - October 2003.
16 samples were taken along four transects (Odesa Transect (OD), Dnipro Transect (DN), Danube (Zhebrianska Bay Transect (ZB)), Dnister Transect (NE), and Zernov’s Phyllophora Field (PH)) on the depths from 15 m to 125 m.
Abundance and biomass of benthic infauna from mud grabs in the Irish sea as part of a mud habitat project from 2014-2015

This dataset contains information on infaunal abundance and biomass from sediment grabs from the Western Irish Sea collected in 2014 and 2015 from the RV Corystes. This survey was carried out to assess the presence, extent and the condition of subtidal mud habitats in the Western Irish Sea. A 0.1m2 day grab was used to obtain the sediment and infaunal samples. In total there were 85 grab samples taken and this was also supplemented with underwater video tows of the area for nephrops (Nephrops norvegicus) but this information is not included in this dataset. Particle Size analysis (PSA) of the sediment was also carried out along with Carbon - Nitrogen (C - N) analysis. The most abundant species found was the Bivalve Abra alba and the most frequently recorded species was the Bivalve Abra nitida.
"This dataset contains information on infaunal abundance and biomass from sediment grabs from the Western Irish Sea in an area known as Queenie corner (a proposed Marine Conservation zone, MCZ). The target habitat was subtidal mud (145km2) and there were two habitats of conservation interest within the broad scale subtidal mud habitat.
• Mud habitats in deep water which are characterised by burrowing megafauna
• Sea pen - burrowing megafauna communities which are characterised by the presence of one or more sea pen (several species) and are usually deeper than 20m.
The key aim of this project and also this survey was to assess the presence, extent and the condition of subtidal mud habitats and communities at Queenie corner in the Western Irish Sea. The survey was carried out on the RV Corystes using a 0.1m2 day grab, the methodology is detailed below:
• A 0.1m2 day grab was used to take a sample of the sediment - associated infaunal communities.
• When the sample reaches the deck, a 250ml sample is taken for PSA and a further 25ml is taken for C - N analysis. The rest of the sample is carefully sieved to reveal any infauna.
• Fixed Formalin (4% buffered formaldehyde) is added to the remains of the sample and these are placed in labelled buckets.
• The samples are sent to accredited taxonomic laboratories were they are identified to as high a level as possible and weighed.
Underwater video tows were also used in the larger project (the data are not present in this dataset) to investigate the presence and abundance of nephrops (Nephrops norvegicus) which are of extremely high commercial value to the local communities and economy. This involved the use of an underwater camera on a towed sledge with a GoPro attached and using an ultra-short baseline (USBL) acoustic tracking device for positional data. This video footage is then reviewed twice by experienced marine biologists to ensure a high quality of data. 
"
Scleractinia 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 Scleractinia species occurring deeper than 2000 m in the seas bordering Europe.
The check-list is based on published data. The checklist includes 23 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, Emerald Network

The dataset on Emerald Network sites was created in 2023 by Cogea for the European Marine Observation and Data Network. It is entirely based on spatial data from the European Environmental Agency (EEA), plus additional infos and selected EEA tabular data added as feature attributes. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The Emerald Network is an ecological network made up of Areas of Special Conservation Interest designated under Recommendation No. 16 (1989) and Resolution No. 3 (1996) of the Standing Committee to the Bern Convention. The objective of the Emerald Network is the long-term survival of the species and habitats. The Network involves all the European Union member States (the European Union contributes to the Emerald Network with its Natura 2000 sites), some non-Community States and a number of African States. This dataset cover the following countries: Albania, Andorra, Armenia, Azerbaijan, Bosnia and Herzegovina, Georgia, Iceland, Liechtenstein, Moldova, Montenegro, North Macedonia, Norway, Serbia, Switzerland, Ukraine and the United Kingdom. In the webmap the dataset has been filtered in order to show only marine and coastal sites. Where available each polygon has the following attributes: site code, site name, country code, country name, site type/description (A: SPA, Special Protection Areas - sites designated under the Birds Directive; B: SCIs and SACs, Sites of Community Importance and Special Areas of Conservation - sites designated under the Habitats Directive; C: where SPAs and SCIs/SACs boundaries are identical, sites are designated under both directives), site status (Proposed, Candidate or Adopted), compilation date, update date, area (ha), marine area percentage, marine/coastal location (1). For further information (e.g. biogeographic region, designation status, sites, habitats, impact, management, species and metadata) please visit the EEA's website hosting the Emerald tabular data (https://www.eea.europa.eu/data-and-maps/data/emerald-network-data-1/emerald-tabular-data). This version covers the reporting in 2024 as adopted by the Standing Committee to the Bern Convention in December 2024. As a result of a written consultation of Contracting Parties carried out between 28th June and 15th September 2023, the Emerald Network sites located on the territory of Belarus and of the Russian Federation had been suspended until further notice and removed from the Emerald Network tools.
Epibenthos and demersal fish monitoring data in function of wind energy development in the Belgian part of the North Sea

Epibenthos and demersal fish monitoring in function of wind energy development. Trawl samples were taken within the wind farms (between the turbine rows, just outside the edges of the concessions and at reference stations
Sampling activities were in Febuary-March and/or in September-October from 2005.

	8 meter shrimp trawl (22 mm mesh in the cod end) equipped with a bolder chain. The net was towed during 15 minutes at an average speed of 4 knots.
EMODnet Digital Bathymetry (DTM 2024) - Tile A5

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.
Vatova A., 1935. The fishery grounds near Alexandria, II. A bottom sample taken at Alexandria, Notes and Memoirs No 9. Fisheries Research Directorate, Egypt

This is a historical report, published in 1935 by A. Vatova. It contains specific information about a bottom sample that was taken once in the eastern harbour of Alexandria, near the Marine Laboratory during the floristical and faunistical survey of Adolf Steuer on the coasts near Alexandria mainly with the vessel "El Hoot". The digitization of this report was done by LifewatchGreece team.
Study of epifauna and meiobenthos by means of cage experiments in a Ceriops tagal and Avicennia marina mangrove at Gazi Bay (Kenya) in August and September 1992

Abiotic parameters and densities of meio-and epifauna taxa and nematode genera present at several depths in the cages, half cages and blanco's of an Avicennia marina and Ceriops tagal mangrove at Gazi Bay sampled between 06 August and 27 September 1992. The data were digitized by VLIZ from the original report: Steyaert, M. (1993). Structurele en trofische relaties tussen meiobenthos en epifauna in Ceriops mangroves (Gazi Bay, Kenya); Structural and trophic relationships between meiobenthos and epifauna in Ceriops mangroves (Gazi Bay, Kenya). MSc Thesis. Universiteit Gent: Ghent. 118 (vol1), appendix (vol 2) pp.
The specific relationships between the epifauna and the meiofauna were studied by means of a cage experiment in a mangrove swamp with a Ceriops tagal and Avicennia marina vegetation located at Gazi Bay (Kenya). The experimental setup consists of three cages, three half cages and three blanco’s (surface 1 m^2). All epifauna was removed in the cages in order to study the effects of epifaunal exclusion. Sampling occurred every five days during one month.
Mediterranean Sea - Po River - DIVAnd 4D seasonal analysis of Water body phosphate 1960/2020 v2023

Water body phosphate - Seasonal Climatology for Po River for the period 1960-2020 on the domain: Lon E12.0-14.0deg., Lat N44.0-46.0deg.
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 2.7.9, using GEBCO 30sec topography for the spatial connectivity of water masses.
The horizontal resolution of the produced DIVAnd maps grids is dx=dy=0.009 degrees (around 975m and 708m accordingly).
The vertical resolution is 14 depth levels: [0., 2., 4., 6., 8., 10., 15., 20., 25., 30., 40., 50., 60., 70.].
A relative correlation length used based on topography gradients and the horizontal correlation length varies from 25 km to 12.5 km. The vertical correlation length (in meters) is:  [4.,4.,4.,4.,4.,10.,10.,10.,10.,20.,20.,20.,20.,20.]. 
Duplicates check was performed using the following criteria for space and time: dlon=0.01deg., dlat=0.01deg., ddepth=0.01m, dtime=1min, dvalue=0.01.
The error variance (epsilon2) was set equal to 1. Data weight was reduced at shallow waters. Data weighting was applied with the following threshold values: lon=0.03, lat=0.03, depth=2.
An anamorphosis transformation was applied to the data (function DIVAnd.Anam.loglin) to avoid unrealistic negative values: threshold value=200.
The mean value was used as background analysis field.
Quality control of the observations was applied using the interpolated field (QCMETHOD=3). Residuals (differences between the observations and the analysis (interpolated linearly to the location of the observations) were calculated. Observations with residuals outside the minimum and maximum values of the 99% quantile were discarded from the analysis. 
Seasons definition: Winter=Jan-Mar, Spring=Apr-Jun, Summer=Jul-Sep, Autumn=Oct-Dec.
Originators of Italian data sets-List of contributors:
- Brunetti Fabio (OGS)
- Cardin Vanessa, Bensi Manuel doi:10.6092/36728450-4296-4e6a-967d-d5b6da55f306
- Cardin Vanessa, Bensi Manuel, Ursella Laura, Siena Giuseppe doi:10.6092/f8e6d18e-f877-4aa5-a983-a03b06ccb987
- Cataletto Bruno (OGS)
- Cinzia Comici Cinzia (OGS)
- Civitarese Giuseppe (OGS)
- DeVittor Cinzia (OGS)
- Giani Michele (OGS)
- Kovacevic Vedrana (OGS)
- Mosetti Renzo (OGS)
- Solidoro C.,Beran A.,Cataletto B.,Celussi M.,Cibic T.,Comici C.,Del Negro P.,De Vittor C.,Minocci M.,Monti M.,Fabbro C.,Falconi C.,Franzo A.,Libralato S.,Lipizer M.,Negussanti J.S.,Russel H.,Valli G., doi:10.6092/e5518899-b914-43b0-8139-023718aa63f5
- Celio Massimo (ARPA FVG)
- Malaguti Antonella (ENEA)
- Fonda Umani Serena (UNITS)
- Bignami Francesco (ISAC/CNR)
- Boldrini Alfredo (ISMAR/CNR)
- Marini Mauro (ISMAR/CNR)
- Miserocchi Stefano (ISMAR/CNR)
- Zaccone Renata (IAMC/CNR)
- Lavezza, R., Dubroca, L. F. C., Ludicone, D., Kress, N., Herut, B., Civitarese, G., Cruzado, A., Lefèvre, D.,Souvermezoglou, E., Yilmaz, A., Tugrul, S., and Ribera d'Alcala, M.: Compilation of quality controlled nutrient profiles from the Mediterranean Sea, doi:10.1594/PANGAEA.771907, 2011.
Tuskar Rock Wexford Surveys

This composite Digital Terrain Model (cDTM) is a high resolution bathymetry dataset highlighting measurement of depth of water in the ocean. This cDTM covers the Celtic Sea Basin off the coast of Co. Cork in Ireland. The EMODnet high resolution DTM covers bathymetry surveys completed between during 2022. Bathymetric data collected on board research vessels using multi-beam and single-beam echosounder instrumentation. Raw bathymetry processed within CARIS software to produce bathymetry products subsequently converted to NetCDF cDTM for EMODnet. Acquisition, processing and product delivery follows IHO standard s44 Edition 5. cDTM is composed of three (3) images “merged simply” using GLOBE software. INFOMAR (Integrated Mapping for the Sustainable Development of Ireland's Marine Resource) is a twenty year program to map the physical, chemical and biological features of Ireland's seabed established in 2006. INFOMAR is funded by the Department of Communications, Climate Action and Environment (DCCAE), and delivered by joint management partners Geological Survey Ireland and the Marine Institute. The program is the successor to the Irish National Seabed Survey (INSS) which ran between 1999 and 2005. INFOMAR concentrates on creating integrated mapping products related to the seabed.
North East Atlantic Ocean - Contaminants aggregated datasets 1970/2017 v2018

EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification and contaminants. The chemicals chosen reflect importance to the Marine Strategy Framework Directive (MSFD). This regional aggregated dataset contains all unrestricted EMODnet Chemistry data on contaminants (20 parameters), and covers the North East Atlantic Ocean with 2400 CDI records divided per matrices: 122 in biota (as time series), 1689 in water (as vertical profiles), 589 in sediment (478 Vertical profiles and 111 Time series). Vertical profiles temporal range is from 1970-07-29 to 2017-02-28. Time series temporal range is from 1979-02-28 to 2014-10-21. Data were aggregated and quality controlled by ‘IFREMER / IDM / SISMER - Scientific Information Systems for the SEA’ from France.    	
Regional datasets concerning contaminants are automatically harvested. Parameter names in these datasets are based on P01, BODC Parameter Usage Vocabulary, which is available at: http://seadatanet.maris2.nl/bandit/browse_step.php . Each measurement value has a quality flag indicator. The resulting data collections for each Sea Basin are harmonised, and the collections are quality controlled by EMODnet Chemistry Regional Leaders using ODV Software and following a common methodology for all Sea Regions. 
Harmonisation means that: (1) unit conversion is carried out to express contaminant concentrations with a limited set of measurement units (according to EU directives 2013/39/UE; Comm. Dec. EU 2017/848) and (2) merging of variables described by different “local names” ,but corresponding exactly to the same concepts in BODC P01 vocabulary.
The harmonised dataset can be downloaded as ODV spreadsheet (TXT file), which is composed of metadata header followed by tab separated values. This worksheet can be imported to ODV Software for visualisation (More information can be found at: https://www.seadatanet.org/Software/ODV ).
The same dataset is offered also as XLSX 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 in subcomponents (measure, substance, CAS number, matrix...).This transposed format is more adapted to worksheet applications users (e.g. LibreOffice Calc).
The 20 parameter names in this metadata record are based on P02, SeaDataNet Parameter Discovery Vocabulary, which is available at: http://seadatanet.maris2.nl/v_bodc_vocab_v2/vocab_relations.asp?lib=P02 .
Detailed documentation will be published soon.
The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: https://emodnet-chemistry.maris.nl/search
Contaminants-Tributyltin: sediment stations v2019

This product displays the stations present in EMODnet validated dataset where tributyltin levels have been measured in sediment.
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