AndreaBozzo/ceres-open-data-index huggingface dataset:
North Sea - Eutrophication and Acidity aggregated datasets 1902/2017 v2018

EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, acidity and contaminants. The chemicals chosen reflect importance to the Marine Strategy Framework Directive (MSFD). ITS-90 water temperature and Water body salinity variables have been also included (as-is) to complete the Eutrophication and Acidity data. If you use these variables for calculations, please refer to SeaDataNet for having the quality flags: https://www.seadatanet.org/Products/Aggregated-datasets . This aggregated dataset contains all unrestricted EMODnet Chemistry data on Eutrophication and Acidity (15 parameters with quality flag indicators), and covers the North Sea with 4685228 CDI records. Data were aggregated and quality controlled by 'Aarhus University, Department of Bioscience, Marine Ecology Roskilde' from Denmark.
Regional datasets concerning eutrophication and acidity are automatically harvested and resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all Sea Regions ( https://doi.org/10.6092/9f75ad8a-ca32-4a72-bf69-167119b2cc12). When not present in original data, Water body nitrate plus nitrite was calculated by summing up the Nitrates and Nitrites. Same procedure was applied for Water body dissolved inorganic nitrogen (DIN) which was calculated by summing up the Nitrates, Nitrites and Ammonium. Quality flags for Water body dissolved inorganic nitrogen (DIN) should be disregarded since that currently they are not based on the original quality flags of nitrite, nitrate and ammonium.
Parameter names are based on P35, EMODnet Chemistry aggregated parameter names vocabulary, which is available at: https://www.bodc.ac.uk/resources/vocabularies/vocabulary_search/P35/.
Detailed documentation is available at: https://doi.org/10.6092/ec8207ef-ed81-4ee5-bf48-e26ff16bf02e
The aggregated dataset can be downloaded as ODV spreadsheet, 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: http://www.seadatanet.org/Standards-Software/Software/ODV).
The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: https://emodnet-chemistry.maris.nl/search
Mediterranean Sea - Eutrophication and Acidity aggregated datasets 1911/2024 v2025

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 Mediterranean Sea. Data were aggregated and quality controlled by the 'Hellenic Centre for Marine Research, Hellenic National Oceanographic Data Centre (HCMR/HNODC)' in Greece. 
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 ).
BY_CelticVoyager_MalinSea_14m_WGS84

The GSI has been permitted to utilise the UKHO VORF (Vertical Offshore Reference Frame) sea surface model. This model allows the use of ‘GPS tides’ and the GSI has gridded this model to a 1km resolution around Ireland to 15km offshore for reducing all soundings to Lowest Astronomical Tide - LAT (VORF). By utilising ‘GPS tides’ there is no requirement to adjust for draft or squat as the water level is modelled over the seabed as measured to the WGS84 ellipsoid.  This area was surveyed as part of a Sea Monitor project supporting the ongoing INFOMAR project (formerly Irish National Seabed Survey), a joint seabed mapping project between the Geological Survey Ireland (GSI) and the Marine Institute (MI).  Survey work was conducted to standards and recommendations set out by INFOMAR, the International Hydrographic Organisation (IHO), the United Kingdom Hydrographic Office (UKHO) and the UK’s Maritime and Coastguard Agency (MCA).
European seas - DIVAnd 4D monthly analysis of Water_body_dissolved_oxygen_concentration 1960/2023 v2025

Water_body_dissolved_oxygen_concentration - Monthly Climatology for the European Seas for the period 1960-2023 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 2.7.12, 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.
North Sea - Seafloor litter aggregated datasets 2011/2024 v2024

EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification, contaminants and litter. The chosen parameters are relevant for  the Marine Strategy Framework Directive (MSFD), in particular for descriptors 5, 8, 9 and 10. The datasets contain standardized, harmonized and validated data collections from seafloor litter. 
Datasets concerning seafloor litter data are loaded in a central database after a semi-automated validation phase. Once loaded, a data assessment is performed in order to check data consistency and potential errors are corrected thanks to a feedback loop with data originators.
EMODnet seafloor litter data and database are hosted and maintained by ‘Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Division of Oceanography (OGS/NODC)’ from Italy.
For seafloor litter, the harmonized datasets contain all unrestricted EMODnet Chemistry data on seafloor litter data.
Data are formatted following Guidelines and forms for gathering marine litter data, which can be found at: https://dx.doi.org/10.6092/15c0d34c-a01a-4091-91ac-7c4f561ab508
The updated vocabularies of admitted values are available at:
https://vocab.seadatanet.org/search
https://vocab.ices.dk/
The harmonized datasets can be downloaded as EMODnet Sea-floor litter data format version 1.0, which is a csv file, tab separated values.
Baltic Sea - Contaminants aggregated datasets 1972/2024 v2026

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 Baltic Sea. Data were harmonised and validated by the ‘Swedish Meteorological and Hydrological Institute (SMHI)’ in Sweden.	
The dataset contains water, sediment and biota profiles. The temporal coverage is 1987–2022 for water measurements, 1974–2022 for sediment measurements and 1972-2023 for biota 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).
LifeWatch observatory data: permanent Cetacean passive acoustic sensor network in the Belgian part of the North Sea: 2023

As part of the Belgian LifeWatch observatory, a permanent Cetacean passive acoustic network is established in the Belgian Part of the North Sea. The sensor network uses C-PODs (Chelonia Limited) to register the presence of harbour porpoise (Phocoena phocoena) in the neighbourhood. Click trains of harbour porpoises are detected and classified using the CPOD software and high and moderate quality click trains are selected. The dataset is published yearly in the highest time resolution, per minute
Seismic Profiles from Port Foster, Deception Island (Antarctica)

Deception Island (South Shetland Islands, Antarctica) consist of a horseshoe-shaped volcanic edifice, which evolution is marked by the formation of a collapse caldera. It is the most active volcano in the South Shetland archipelago with more than 20 eruptions in the past two centuries. In order to improve our knowledge about Deception Island, a total of 12 parametric seismic profiles were obtained from the island’s interior bay (Port Foster) during the 2017/2018 Spanish Antarctic Campaign and the Antarctic GALILEO-IHM cruise aboard the R/V Hespérides (2017 / 2018) with a hull-mounted TOPAS PS 018 high-resolution parametric sounder designed for sub-bottom profiling with very high spatial resolution in water depths from less than 20 meters to full ocean depth.
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.
North Sea - DIVAnd 4D 6-year seasonal analysis of Water body dissolved inorganic nitrogen 1980/2023 v2025

Moving 6-year analysis and visualization of Water body dissolved inorganic nitrogen in the North Sea. Four seasons (December-February, March-May, June-August, September-November). Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. Description of DIVA analysis: Geostatistical data analysis by DIVAnd (Data-Interpolating Variational Analysis) tool, version 2.7.12. results were subjected to the minfield option in DIVAnd to avoid negative/underestimated values in the interpolated results; error threshold masks L1 (0.3) and L2 (0.5) are included as well as the unmasked field. The depth dimension allows visualizing the gridded field at various depths.
Current profiles at Camarinal Sill (Strait of Gibraltar) | Aug 2020 - May 2021

3D current profiles collected at the Camarinal Sill (Strait of Gibraltar), by the Physical Oceanography Group of the University of Málaga (Spain), and the Spanish Oceanographic Institute (IEO-CSIC) of Cádiz. The current profiler is an RDI Longrange Workhorse (75 kHz) embedded in a subsurface buoy, deployed 11m above the bottom, in uplooking configuration. The ADCP has been configured with 6m bins thickness and 30min sampling interval. Dataset contains information on the two horizontal and the vertical components of current speed, and the attitude and pressure sensors.
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.
An Open Data Contribution on Nudibranchs from the South-East Pelion Coastline

This dataset represents an open data contribution on nudibranchs recorded along the coastline of South-East Pelion, Greece, covering the period from 2018 to 2025. Observations were collected through a combination of in-situ surveys, opportunistic sightings, and photographic records, with a focus on documenting occurrence and distribution patterns of these diverse and ecologically significant marine gastropods.

The dataset includes species-level identifications where possible, along with associated metadata such as date, location, and more observation details. It aims to provide a baseline reference for the presence of nudibranch species in the region, supporting future research on biodiversity, ecology, and conservation in the Aegean Sea.

By making these records openly available, this contribution seeks to encourage the use of the data by researchers, conservationists, educators, and citizen scientists, as well as to raise awareness of the hidden diversity of nudibranchs in the Mediterranean.
Current profiles at Camarinal Sill (Strait of Gibraltar) | Jun-Sep 2013

3D current profiles collected at the Camarinal Sill (Strait of Gibraltar), by the Physical Oceanography Group of the University of Málaga (Spain). The current profiler is a Nortek Continental (190 kHz) embedded in a subsurface buoy, deployed 11m above the bottom, in uplooking configuration. The ADCP has been configured with 6m bins thickness and 4min sampling interval. Dataset contains information on the two horizontal and the vertical components of current speed, and the attitude and pressure sensors.
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.
Belgian recreational fisheries monitoring

The dataset includes recreational catch data collected in the framework of the Belgian recreational fisheries monitoring programme, coordinated by Flanders Marine Institute (VLIZ) and the Flemish Institute for Agriculture, Fisheries and Food Research (ILVO). Data is collected through a programme in which Belgian recreational fishermen voluntary provide catch data on the level of individual fishing trips (www.recreatievezeevisserij.be). Data includes species names, number of released/retained species, total weight of retained fish/shrimps, length dimensions for Cod and Sea bass, fishing technique, bait characteristics, trip duration and catch location on the level of maritime zones (coast; 0-3 nm; 3-6 nm; 6-12 nm; exclusive economic zone (-gt;12 nm). [Programme funding 2016-2021: FPS Public Health, Food Chain Safety and Environment - Marine Environment Division; National Data Gathering Programme; Province of West Flanders; VLIZ | Programme funding 2022: VLIZ; ILVO]
ARMS-MBON data on long-term monitoring of hard-bottom communities: ITS results from 2020-2022

ARMS-MBON is a network of more than 25 partners who deploy Autonomous Reef Monitoring Structures (ARMS) settlement units in the vicinity of marine stations and Long-term Ecological Research sites in European coastal waters and Ant/arctica. After a few months the units are brought up, and visual, photographic, and genetic assessments are made of the lifeforms that settled on them. The collected data are published (see the related datasets and GitHub links listed in this record) and the omics data analysed. In this record we include the outputs of our analysis of the ITS data from the 2020-2022 campaign. The analysis used the PEMA bioinformatics software, and the resulting taxonomics inventory has been turned into DwC format. In addition, all the PEMA inputs and outputs can be found on the ARMS-MBON GitHub site (see links in this record), and the subset of the sampling data to which these 18S results are linked can also be found on the ARMS-MBON GitHub site.
Finnish Baltic Sea zooplankton monitoring

The dataset include Finnish zooplankton monitoring data from the Baltic Sea. The Finnish zooplankton monitoring program started in 1979 and is still ongoing. The sampling has normally taken place in late summer (August), but since 2014 sampling is also carried out in early summer (May-June).The zooplankton monitoring was performed by Finnish Institute of Marine Research until 2008, thereafter the Finnish Environment Institute is responsible for the monitoring program. Samples are taken using a WP-2 net (normally 2550 cm2 opening and 100 um mesh size). The monitoring follows the HELCOM COMBINE guidelines, but subsampling is done using Folsom splitter.  The dataset is also accessible through the NOAA COPEPOD database.
MESO_Alborán 2 - Observed species, habitats and impacts

Various cartographic layers are delivered, bringing together information collected during the MESO_Alborán 2 project. This is a project exploring mesophotic habitats, studying the biology of underwater geomorphological units in the Alborán Sea. This project is carried out in collaboration with the "Fundación Biodiversidad" (Spain), the Ministry for Ecological Transition and Demographic Challenge (MITECO in Spain), and is co-financed by the European Maritime, Fisheries and Aquaculture Fund (EMFAF) through the Spanish "Programa Pleamar".
Megafauna composition in Aurora seamount and hydrothermal vent field (High Arctic) identified during the 'HACON expedition 2019' with the RV Kronprins Haakon (cruise no. 2019708)

The Aurora seamount and hydrothermal field, located in the western Gakkel Ridge of the Central Arctic Ocean, was first identified in 2001. The dataset presented here was collected during the HACON19 research cruise onboard of the RV Kronprins Haakon, as part the international HACON project (Hot vents in an ice-covered ocean: the role of the Arctic as a connectivity pathway between ocean basins). This campaign used the Ocean Floor Observation and Bathymetry System (OFOBS), which is a towed underwater sled equipped with high-resolution still and video cameras. This dataset provides density data (individuals per square meter) for benthic megafauna (organisms greater than 2 cm) inhabiting the Aurora Seamount, its hydrothermal vent field, and surrounding areas. The data were collected between October 1 and October 15, 2019. In addition to the biological density measurements, the dataset includes environmental context information such as observation depth and substrate type.
Sampling methods:Observations were identified based on still image frames collected along several exploratory transects, and captured by a towed camera system (Ocean Floor Observation and Bathymetry System – OFOBS), which was equipped with both a high-resolution still camera and a high-definition video camera.Method step description:Each still image was annotated using the online annotation platform BIIGLE (Langenkämper et al., 2017; https://biigle.de) for the identification and quantification of all living benthic megafauna organisms (-gt;2cm), seafloor substrate type, and description of any other seafloor characteristics. Acknowledgements:AURORA: Bringing Deep-Sea Biodiversity Data to Light. Funded through the DTO-BioFlow project, which is supported by the European Union (Grant Agreement No. 101112823). HACON project - Hot vents in an ice-covered ocean: the role of the Arctic as a connectivity pathway between ocean basins, funded by FRINATEK call in the FRIPRO programme of the Research Council of Norway and coordinated by NIVA. Data creators are also funded by national funds through FCT – Fundação para a Ciência e a Tecnologia I.P., under the project CESAM-Centro de Estudos do Ambiente e do Mar, references UID/50017/2025 (doi.org/10.54499/UID/50017/2025) and LA/P/0094/2020 (doi.org/10.54499/LA/P/0094/2020).
Biofouling of ship hulls in the Port of Algiers in 2021

This dataset originated from a specific bio-surveillance field study conducted in the fishing port of Algiers during spring 2021 (Kacimi, 2021). Data was collected by scraping biological material from hard substrates like floating structures and port structures at specific stations. The dataset contains records of identified fouling species, including their taxonomic classification (across  Porifera, Bryozoa, Ascidiacea), status (indigenous, non-indigenous, or cryptogenic), and estimated abundance (visual assessment or frequency). Taxonomic nomenclature was verified using the World Register of Marine Species (WoRMS).  This dataset serves as a baseline for future assessments of NIS in Algerian ports, though acknowledging limitations in taxonomic coverage and sampling extent.
Global scale surface meso-plankton dataset collected with High-Speed Net and imaged with ZooScan during the Tara Pacific Expedition

The Tara Pacific expedition sampled differents ecosystems of the oceans during a two-year expedition (2016-2018), collecting environmental data and surface plankton of Atlantic and Pacific Ocean, from viruses to metazoans, on board the 36-metre Tara Schooner. Mesoplankton was sampled using the High-Speed Net (330-micron mesh size), a net designed to collect plankton while sailing at high speed.See https://doi.org/10.17882/102336 for more details.