AndreaBozzo/ceres-open-data-index huggingface dataset:
Beach litter - Total abundance (No. Items) of litter aggregated over a given period per beach - EU-MSFD monitoring 2001/2022 v2023

This visualization product displays the total abundance of marine macro-litter (> 2.5cm) per beach, per 100m & to 1 survey aggregated over the period 2001 to 2020 from Marine Strategy Framework Directive (MSFD) monitoring surveys.

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:
		- Exclusion of OSPAR 1000 protocol: in order to follow the approach of OSPAR that it is not including these data anymore in the monitoring;
		- Selection of MSFD surveys only (exclusion of other monitoring, cleaning and research operations);
		- Exclusion of beaches without coordinates;
		- Some categories & some litter types like organic litter, small fragments (paraffin and wax; items > 2.5cm) and pollutants have been removed. The list of selected items is attached to this metadata (total abundance list). 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);
		- Normalization of survey lengths to 100m & 1 survey / year: in some cases, the survey length was not exactly 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 items (normalized by 100 m) = Number of litter per items x (100 / survey length)
		Then, this normalized number of items is summed to obtain the total normalized number of litter for each survey. Finally, a median is calculated over the entire period among all these total numbers of litter per 100m calculated for each survey. 
		Sometimes the survey length was null or equal to 0. Assuming that the MSFD protocol has been applied, the length has been set at 100m in these cases.


The size of each circle on this map increases with the calculated median number of marine litter per beach, per 100m & to 1 survey.
The median litter abundance values displayed in the legend correspond to the 50 and 99 percentiles and the maximum value.

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.
- This map was created to give an idea of the distribution of beach litter between 2001 and 2021 in a synthetic manner. NOT ALL BEACHES MAY HAVE DATA FOR THE ENTIRE PERIOD, SO IT IS NOT POSSIBLE TO MAKE A COMPARISON BETWEEN BEACHES.
Marine records from Skomer Marine Nature Reserve (MNR) Marine Monitoring Programme

Skomer MNR was designated in 1990. This dataset contains the results of a range of projects developed by Skomer Marine Monitoring Team to monitor the health of the reserve and investigate the relevant aspects of the species life histories for baseline information. Large scale surveys developed in the 1970's and 1980's provided the foundation for the monitoring.
Purpose of data capture: Monitoring is undertaken to provide an assessment of the condition of features against set targets and will contribute to reporting on the MNR as well as Pembrokeshire Marine SAC within which the reserve lies.

Methods of data capture: Various. Please see Surveys in NBN metadata for details.

Geographical coverage: Data is collected around Skomer Island and on the mainland between Musselwick Sands and Gateholm Island within the Marine Nature Reserve.

Data quality: The majority of the records were created by NRW staff, qualified contractors or volunteers and are generally of a good standard.
Ascidiacea 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 Ascidiacea species occurring deeper than 2000 m in the seas bordering Europe.
The check-list is based on published data. The checklist includes 54 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.
Advanced Modelling and Research on Eutrophication Linking Eutrophication and Biological Resources (AMOREII)

The AMORE-II research focused on establishing quantitative and qualitative links between nutrient enrichment, spreading of high-biomass algal blooms (Phaeocystis globosa but also the co-occurrent diatom Guinardia delicatula), presence of gelatinous zooplankton (the dinoflagellate Noctiluca scintillans, the appendicularian Oïkoploira dioica) and impact on ecosystem function.
EMODnet Digital Bathymetry (DTM 2024) - Tile C8

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.
Pelagia Logbook: Aegean Sea 2025

This dataset contains georeferenced citizen science records of the mauve stinger jellyfish Pelagia noctiluca collected across the Aegean Sea during 2025. Members of the public submitted observations through social media reporting channels, iNaturalist, and the Facebook community: ??d??se? st?? ????da - Jellyfish in Greece. Each record includes date, location, species confirmation, abundance category, and photographic or descriptive evidence. The dataset was curated and quality checked by Merman Conservation Expeditions Ltd as part of a regional early warning and marine monitoring program designed to detect jellyfish blooms, assess public exposure risk, and document changes in pelagic ecosystems. These records support coastal safety, tourism awareness, and fisheries planning while also contributing to long-term research on climate-driven range shifts, circulation patterns, and plankton dynamics in the eastern Mediterranean.
National shellfish survey

Het monitoren van schelpdierbestanden vormt een permanente basis voor het uitvoeren van het Nederlandse beleid ten aanzien van de exploitatie van schelpdieren en de bescherming van het mariene milieu. Uitgangspunt van het Nederlands beleid ten aanzien van de exploitatie van schelpdieren is dat de beperkende maatregelen voor de visserij zoveel mogelijk moeten worden toegesneden op de natuurdoelstelling, waarbij een evenwichtige afweging tussen economische belangen en natuurbelang noodzakelijk is.

Jaarlijks worden door Wageningen Marine Research in de Nederlandse kustwateren (Waddenzee, Oosterschelde, Westerschelde en Kustzone) schelpdiersurveys uitgevoerd, waarbij onderzocht wordt wat de verspreiding en omvang is van de belangrijkste commerciële schelpdiersoorten. Dit zijn vooral mosselen, kokkels, mesheften en Japanse oesters, maar ook overige soorten met een bepaald belang voor ecologie dan wel visserij worden meegenomen. Daarnaast worden ook vangstgegevens van de beroepsvisserij verzameld.

De gegevens worden gebruikt door de overheid bij het al dan niet verlenen van vergunningen om te mogen vissen. Vanuit de nagestreefde balans tussen economische belangen en natuurbelang mag niet gevist worden in jaren waarin te weinig voedsel voor vogels over zou blijven. De schelpdiersector gebruikt de verspreidingskaarten om ieder jaar een visplan op te stellen, behalve natuurlijk in jaren waarin niet gevist wordt omdat er te weinig schelpdieren aanwezig zijn. Verder zijn de survey gegevens van belang voor evaluatie van beheersmaatregelen en effectstudies in het kader van Natura 2000 en de natuurbeschermingswet. Binnen de Natura 2000 gebieden Waddenzee, Oosterschelde, Westerschelde, Voordelta en Noordzee Kustzone zijn instandhoudingsdoelstellingen opgesteld voor verschillende vogelsoorten die zijn aangewezen op schelpdieren als voedselbron. Daarnaast vormen schelpdierbanken een belangrijk element in verschillende habitattypen.
Cefas processed backscatter data from UKHO MBES data HI1430

Data collected as part of the Civil Hydrography Program.
Areas used: HI1430 (Western Approach to the Dover TSS)
Data originally collected by Net Survey / MMT using a Kongsberg EM2040D (dual RX). Where this data intersected with Cefas' Marine Protection Area programme QPS FMGT was used to create a 1.0m resolution backscatter mosaic.
Mapping of canyon features at the present-day seafloor on the eastern Cantabrian continental margin (northern Atlantic)

For the mapping of the canyon features a database with over 1500 km of 2D multi- and single-channel seismic lines, with different degrees of resolution (from a few metres to metric) together with high-resolution multi-beam bathymetry has been analysed and interpreted. Multi-channel seismic records were downloaded from the Archivo Técnico de Hidrocarburos (https:// geoportal.minetur.gob.es/ATHv2/welcome.do). Single-channel records were mostly obtained with airgun systems (140 to 530 c.i.) and are included in the database from the Instituto de Ciencias del Mar, ICM-CSIC, http://www.icm.csic.es/geo/gma/SurveyMaps. Several multi-beam bathymetry datasets obtained with Simrad EM12 and Atlas HYDROSWEEP DS multibeam echosounders were also compiled and integrated for the present study from the MARCONI, CONTOURIBER and MOWER projects and the Fishing General Secretary (Spanish Government). These data are gridded to a resolution of 50 m
Beam Trawl Fishing Effort

This dataset shows the distribution of fishing effort by fishing vessels according to the gear type used. Fishing effort is defined as the time spent engaged in fishing operations or time spent at sea, this time may be multiplied by a measure of fishing capacity, e.g. engine power. In this dataset fishing effort is measured as average hours spent actively fishing per kilometre square, per year. Data from years 2014 to 2018 was used to produce this data product for the Marine Institute publication the “Atlas of Commercial Fisheries around Ireland, third edition“ (https://oar.marine.ie/handle/10793/1432).
Offshore renewables-Wave and Tidal (UK)

There are four component data sets included:
(1) This dataset shows the extent of live tidal agreements in UK waters. Some leases are part of Round 1 in Pentland Firth where successful bidders for this project were announced by The Crown Estate on 16 March 2010. Positional corrections of Pentland Firth sites took place on 30th July 2010. Other agreements represent areas for test and demonstration purposes including the latest round that resulted in the award of a number of demonstration zones and sites in June and July of 2014.
(2) This dataset shows the extent of live wave agreements in UK waters. Some leases are part of Round 1 in Pentland Firth where successful bidders for this project were announced by The Crown Estate on 16 March 2010. Positional corrections of Pentland Firth sites took place on 30th July 2010. Other agreements represent areas for test and demonstration purposes including the latest round that resulted in the award of a number of demonstration zones and sites in June and July of 2014. Five wave sites terminated / lapsed in May 2015.
(3) This dataset contains corridors of seabed that The Crown Estate has entered into an agreement upon with either a wind farm developer, an offshore transmission operator (OFTO), or a tidal site developer. There are two types of corridor within this dataset, a buffered centreline of a specified width or a bounding polygon created from a series of coordinates. The status of which is tracked in the "Defined" column. The buffered centreline corridors are 500 m wide and are exactly 250 m either side of the cable centreline (this represents the majority of The Crown Estate's cable agreements however there are a few minor exceptions to this rule). For export routes where there are a number of cables that are within 250 m of each other, the corridors are dissolved together to create one large agreement. The 500 m wide corridor consists of a 30 m wide designated area (DA) centred on the cable with the remaining area comprising of a dredging restriction zone (DRZ) (a further 235m either side of the cable). The Crown Estate still reserves rights to grant other activities within the DA (subject to the tenant's consent) and within the DRZ, however it undertakes not to grant rights for dredging in the DA or DRZ. This dataset has been clipped to exclude all of the seabed that falls within wind farm agreements areas, however overlapping rights do exist to allow the cable to be laid to the offshore substation. In some instances wind farm and tidal agreements are in place however the export cable agreements has yet to be signed. These routes may be in the public domain but have not been included in this dataset as no agreement is in place with The Crown Estate. For these sites The Crown Estate will implement cable agreements as developers bring forward proposed routes. This dataset is provided to the best of our knowledge, however we accept no liability on the accuracy of the information.
(4) Wave export cables.
Bathymetry in the area of the Spanish margin of the Alboran Sea

This bathymetry was recovered in the framework of the MTP II MATTER, whose main objective is to study and to quantify the triggering and controlling mechanisms of mass and energy transfer between the different compartments (land - sea, sea - atmosphere, water - sediment, living - non living, pelagos - benthos), in contrasting trophic environments (from eutrophic to oligotrophic) of the Mediterranean Sea and to investigate the ecosystem response to such a transfer.
Mapping of areas affected by undefined landslides at the present-day seafloor of the Alboran sea (SW Mediterranean)

For the mapping of general landslides we analysed and reinterpreted a database with over 1500 km of 2D multi- and single-channel seismic lines, with different degrees of
resolution (from a few metres to metric) together with high-resolution
multi-beam bathymetry. Multi-channel seismic records
were downloaded from the Archivo Técnico de Hidrocarburos (https://
geoportal.minetur.gob.es/ATHv2/welcome.do). Single-channel records
were mostly obtained with airgun systems (140 to 530 c.i.) and are
included in the database from the Instituto de Ciencias del Mar,
ICM-CSIC, http://www.icm.csic.es/geo/gma/SurveyMaps. Several multi-beam bathymetry datasets obtained with Simrad
EM12 and Atlas HYDROSWEEP DS multibeam echosounders were also
compiled and integrated for the present study from the ALBA,
MARSIBAL, CONTOURIBER and SARAS projects and the Fishing General
Secretary (Spanish Government). These data are gridded to a resolution
of 50 m
Arctic Ocean - Contaminants aggregated datasets 1974/2021 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 potential hazardous substances, despite the fact that some data might not be related to pollution (e.g. collected by deep corer). Temperature, salinity and additional parameters are included when available. It covers the Norwegian Sea, Barents Sea, Greenland Sea and Icelandic Waters. Data were harmonised and validated by the 'Institute of Marine Research - Norwegian Marine Data Centre (NMD)' in Norway.
The dataset contains water and sediment profiles. The temporal coverage is 1974–2011 for water measurements and 1974–2021 for sediment measurements.
Regional datasets concerning contaminants are automatically harvested and the resulting collections are harmonised and validated using ODV Software and following a common methodology for all sea regions ( https://doi.org/10.6092/8b52e8d7-dc92-4305-9337-7634a5cae3f4). Parameter names are based on P01 vocabulary, which relates to BODC Parameter Usage Vocabulary and is available at: https://vocab.nerc.ac.uk/search_nvs/P01/.
The harmonised dataset can be downloaded as as an ODV spreadsheet, which is composed of a metadata header followed by tab separated values. This spreadsheet can be imported into ODV Software for visualisation (more information can be found at: https://www.seadatanet.org/Software/ODV). In addition, the same dataset is offered also as a txt file in a long/vertical format, in which each P01 measurement is a record line. Additionally, there are a series of columns that split P01 terms into subcomponents (substance, CAS number, matrix...).This transposed format is more adapted to worksheet applications (e.g. LibreOffice Calc).
EMODnet Digital Bathymetry (DTM 2020) - Tile B2

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

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

The EMODnet DTM is also available by means of OGC web services (WMS, WFS, WCS, WMTS), which are specified at the EMODnet Bathymetry portal.  
The original datasets themselves are not distributed but described in the metadata services, giving clear information about the background survey data used for the DTM, their access restrictions, originators and distributors and facilitating requests by users to originator.
VECTOR-TRANSMED-07 IV leg. Vertical profiles of 210Pb, 137cs and 226Ra in sediment cores.

This dataset was acquired in the framwork of Project V.E.C.T.O.R. (VulnErability of the Italian coastal area and marine Ecosystems to Climatic changes and Their rOle in the Mediterranean caRbon cycles).The project studies the most significant impacts of climate change on the Mediterranean marine environment and the role of this basin on the planetary CO2 cycle.