AndreaBozzo/ceres-open-data-index huggingface dataset:
Benthic development in and around Princes Amalia Windpark: soft substrate benthic fauna

Benthic development in and around Princes Amalia Windpark, soft substrate benthic fauna.\nBenthic dredge, Focus on larger infauna and epifauna, Same dredge in all surveys (FWC), Sampling in spring, 4 years of data (T-0, 5, 6, 10), Identification of species during the survey, Fishes also counted and analysed (Sandeel).\nResearch question\nIs there a difference in the (larger) benthic community inside and outside of Princes Amalia windpark, 10 years after construction.
North Sea - DIVAnd 4D 6-year seasonal analysis of Water body chlorophyll-a 1980/2023 v2025

Moving 6-year analysis and visualization of Water body chlorophyll-a 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.
North Sea - DIVAnd 4D 6-year seasonal analysis of Water body dissolved oxygen concentration 1980/2023 v2025

Moving 6-year analysis and visualization of Water body dissolved oxygen concentration 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.
North Sea - DIVAnd 4D 6-year seasonal analysis of Water body phosphate 1980/2023 v2025

Moving 6-year analysis and visualization of Water body phosphate 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.
Northeast Atlantic Ocean - DIVAnd 4D seasonal 6-year average analysis of Water body chlorophyll-a 1971/2024 v2025

Moving 6-year analysis of Water body chlorophyll-a in the NorthEast Atlantic for each season:
 - winter: January-March,
 - spring: April-June,
 - summer: July-September,
 - autumn: October-December. 
Every year of the time dimension corresponds to the 6-year centred average of each season. 6-year periods span from 1971/1976 until 2019/2024. Observation data span from 1971 to 2024. 
High-frequency observation trails were filtered to a 3h temporal resolution. 
Depth levels (IODE standard depths): [0.0, 5.0, 10.0, 20.0, 30.0, 40.0, 50.0, 75.0, 100.0, 125.0, 150.0, 200.0, 250.0, 300.0]. 
Data sources: observational data from SeaDataNet/EMODNet Chemistry Data Network. 
Description of DIVAnd analysis: the computation was done with DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.12, using GEBCO 30 sec topography for the spatial connectivity of water masses. The horizontal resolution of the produced DIVAnd maps is 0.1 degrees. Horizontal correlation length varies from 200km in open sea regions to 50km at the coast. Vertical correlation length is defined as twice the vertical resolution. Signal-to-noise ratio was fixed to 1 for vertical profiles and 0.1 for time series to account for the redundancy in the time series observations. A logarithmic transformation (DIVAnd.loglin) was applied to the data prior to the analysis. Background field: a vertically-filtered profile of the seasonal data mean value (including all years) is substracted from the data. 
Detrending of data: no, advection constraint applied: no. 
Units: mg/m3.
Seawater alkalinity - GLODAPv2_2016b (micro-mol kg-1)

Global mapped climatology of total alkalinity (TAlk) derived from the Global Ocean Data Analysis Project version 2 (GLODAPv2.2016b) dataset, using the Data Interpolating Variational Analysis (DIVA) mapping method. The product covers all ocean basins for the observation period 1972–2013, providing gap-filled fields on a 1° × 1° horizontal grid interpolated onto 33 standard depth surfaces. Error fields are included and calculated using the clever poor man's error estimation method within DIVA.
GLODAPv2 is a quality-controlled, internally consistent compilation of surface-to-bottom ocean biogeochemical bottle data, with emphasis on seawater inorganic carbon chemistry. 
Data are available for download in netCDF format.


Note that the mapped gridded climatology is available exclusively for this 2016b version; subsequent GLODAP annual updates (v2.2019 onwards) are released as merged and adjusted observation products only, without a corresponding mapped climatology. Further information: https://www.glodap.info

DOI data product: https://doi.org/10.3334/CDIAC/OTG.NDP093_GLODAPv2 
Last data update: 2024-03-26
Monthly maps of Absolute Sea Level data - DUACS (m)

Monthly maps of Absolute Sea Level over the period 1993–2020, expressed in metres (m). The product provides a temporal representation of sea level variability at monthly scale, supporting analysis of interannual and longer-term changes.
The dataset is derived from the DUACS (Data Unification and Altimeter Combination System) multi-mission satellite altimetry product. The maps are based on deseasonalized data, allowing the removal of the mean seasonal cycle to better highlight anomalies and underlying trends.
This product has been developed by CMCC for EMODnet Physics.
Data are available for download in netCDF format.

Last data update: 2021-12-27
Global Sea Surface Salinity - SMOS BEC L4 v2 (PSU)

Global daily sea surface salinity (SSS) maps derived from the Soil Moisture and Ocean Salinity (SMOS) European satellite mission, produced by the Barcelona Expert Center (BEC, ICM-CSIC). The Level-4 (L4) product is generated by merging SMOS Level-3 SSS maps with daily sea surface temperature fields through a multifractal fusion technique, increasing the spatial resolution of the original L3 product. The spatial resolution is 0.05° × 0.05° and the temporal coverage spans from 2011 to May 2021.
Data are available for download as a ZIP archive.

DOI: https://doi.org/10.20350/digitalCSIC/12600
Last data update: 2022-04
Temperature in the Water Column (1960 - 2024) - CORA (ºC)

Global gridded fields of temperature in the water column (1960–2024), based on the Coriolis Ocean database for ReAnalysis (CORA, source: INSITU_GLO_TS_REP_OBSERVATIONS_013_001_b; gridded product: INSITU_GLO_PHY_TS_OA_MY_013_052), developed by OCEANSCOPE for Copernicus Marine Service and downstreamed by ETT for EMODnet Physics.
Data are accessible and available for download via the EMODnet Physics ERDDAP server.

DOI: https://doi.org/10.48670/moi-00038
Last data update: 2025-08-19
EMODnet Physics Continuous Noise fix platforms

Registry of continuous noise monitoring sites. The product displays the fixed stations and transects used to assess continuous underwater noise. Data are collected from the ICES Continuous Noise database (https://www.ices.dk/data/data-portals/Pages/Continuous-Noise.aspx), the JOMOPANS project (https://jomopansgestool.au.dk/en/about), and QUIETSEAS (https://quietseas.eu/).
In situ near real time Waves data

In situ waves data as recorded by platforms (drifting buoys, moorings, and other platform types). Each marker on the map represents a measuring platform interoperating with EMODnet Physics. The product integrates near real-time and delayed mode data from major marine and oceanographic initiatives and data repositories (EuroGOOS ROOS, Copernicus Marine Service INSTAC, SeaDataNet NODCs, ICES, PANGAEA).
Metadata are available for download via WFS in GeoJSON format.

Last data update: Continuously updated
In situ near real time Sea Salinity and Conductivity data

In situ near real-time sea salinity and conductivity data as recorded by platforms. Each marker on the map represents a measuring platform interoperating with EMODnet Physics. The product integrates near real-time and delayed mode data from major marine and oceanographic initiatives and data repositories.
Metadata are available for download via WFS in GeoJSON format.

Last data update: Continuously updated
Seawater alkalinity - GLODAPv2_2016b (micro-mol kg-1)

Global mapped climatology of total alkalinity (TAlk) derived from the Global Ocean Data Analysis Project version 2 (GLODAPv2.2016b) dataset, using the Data Interpolating Variational Analysis (DIVA) mapping method. The product covers all ocean basins for the observation period 1972–2013, providing gap-filled fields on a 1° × 1° horizontal grid interpolated onto 33 standard depth surfaces. Error fields are included and calculated using the clever poor man's error estimation method within DIVA.
GLODAPv2 is a quality-controlled, internally consistent compilation of surface-to-bottom ocean biogeochemical bottle data, with emphasis on seawater inorganic carbon chemistry.
Data are available for download in netCDF format.


Note that the mapped gridded climatology is available exclusively for this 2016b version; subsequent GLODAP annual updates (v2.2019 onwards) are released as merged and adjusted observation products only, without a corresponding mapped climatology. Further information: https://www.glodap.info

DOI data product: https://doi.org/10.3334/CDIAC/OTG.NDP093_GLODAPv2
Last data update: 2024-03-26
In situ Absolute Sea Level Trends - SONEL

n situ absolute sea level trends derived from the combination of tide gauge records and GNSS-based vertical land motion estimates. The absolute trends are computed by adding the vertical velocity of a nearby GNSS station to the relative sea level trend recorded by each tide gauge, thereby removing the contribution of vertical land motion. Trends are visualised as false-colour arrows.
Tide gauge data are sourced from the PSMSL (Permanent Service for Mean Sea Level) Revised Local Reference dataset, restricted to time series of at least 30 years with at least 70% valid data. Vertical land velocities are derived from the ULR-repro3 GNSS reanalysis solution (ULR7a), produced by the University of La Rochelle within the third IGS reprocessing campaign and expressed in the ITRF2014 reference frame. Only tide gauges with a nearby robust GNSS velocity are included. The product is developed and maintained by SONEL (Système d'Observation du Niveau des Eaux Littorales). Further information: https://www.sonel.org
Metadata are available for download via WFS in GeoJSON format.

Reference (GNSS solution): Gravelle, M., Wöppelmann, G., Gobron, K., Altamimi, Z., Guichard, M., Herring, T. & Rebischung, P. (2023). The ULR-repro3 GPS data reanalysis and its estimates of vertical land motion at tide gauges for sea level science. Earth System Science Data, 15, 497–509. https://doi.org/10.5194/essd-15-497-2023
DOI (GNSS data product, ULR7a): https://doi.org/10.26166/sonel_ulr7a
Absolute Sea Level Trend - GLORYS12V (mm/yr)

Global map of the absolute sea level linear trend (mm/yr) computed over the period January 1993 – December 2019. Sea level anomalies are derived from the GLORYS12v1 ocean reanalysis, a global eddy-resolving hindcast at 1/12° horizontal resolution and 50 vertical levels, developed within the Copernicus Marine Service (CMEMS) framework. The trend is obtained by least-squares linear regression on monthly mean sea surface height above geoid (zos). The product has been developed by CMCC for EMODnet Physics.
Data are available for download in netCDF format.


DOI: https://doi.org/10.3389/feart.2021.698876
Last data update: 2022-04-07
Absolute Sea Level Trend - DUACS (mm/yr)

Map of Absolute Sea Level Trend over the period 1993–2020, expressed in millimetres per year (mm/yr). The product quantifies long-term changes in sea level derived from multi-mission satellite altimetry observations.
It is based on the DUACS (Data Unification and Altimeter Combination System) processing system, which integrates and homogenizes measurements from multiple satellite missions to provide consistent, high-quality sea level time series.
This product has been developed by CMCC for EMODnet Physics.
Data are accessible and available for download via the EMODnet Physics ERDDAP server.

Last data update: 2021-12-27
Total Suspended Matter (TSM) – North Sea (%)

Monthly maps of Total Suspended Matter (TSM) concentration over the North Sea, expressed as percentage (%) and derived from satellite ocean colour observations. TSM provides an indicator of water turbidity and suspended particulate material in the marine environment.
The product is based on CoastColour L2W concentration data, where TSM (conc_tsm, mg/l) is retrieved using a combination of the OC4 algorithm for clear to moderately turbid waters and the CoastColour v1 neural network for more complex and turbid conditions
The Level 2 Water (L2W) data are subsequently remapped onto a regular grid at 300 m spatial resolution and processed into monthly averaged Level 3 (L3) products over the North Sea.
This product has been developed by EMODnet Physics.
Data are available for download in netCDF format.

Last data update: 2022-08
Total Suspended Matter (TSM) – Baltic Sea (%)

Monthly maps of Total Suspended Matter (TSM) concentration over the Baltic Sea, expressed in milligrams per litre (mg/l). TSM is an indicator of water turbidity and the concentration of suspended particulate matter in the marine environment.
The product is based on CoastColour L2W concentration data, where TSM (conc_tsm, mg/l) is retrieved using a combination of the OC4 algorithm for clear to moderately turbid waters and the CoastColour v1 neural network for optically complex and highly turbid conditions
The Level 2 Water (L2W) data are subsequently remapped onto a regular grid at 300 m spatial resolution and processed into monthly averaged Level 3 (L3) products over the Baltic Sea.
This product has been developed by EMODnet Physics.
Data are available for download in netCDF format.

Last data update: 2021-05
Total Suspended Matter (TSM) – Mediterranean Sea (%)

Monthly maps of Total Suspended Matter (TSM) concentration over the Mediterranean Sea, expressed in milligrams per litre (mg/l). TSM is an indicator of water turbidity and the presence of suspended particulate matter in the marine environment.
The product is based on CoastColour L2W concentration data, where TSM (conc_tsm, mg/l) is retrieved using a combination of the OC4 algorithm for clear to moderately turbid waters and the CoastColour v1 neural network for optically complex and highly turbid conditions.
The Level 2 Water (L2W) data are subsequently remapped onto a regular grid at 300 m spatial resolution and processed into monthly averaged Level 3 (L3) products over the Mediterranean Sea.
This product has been developed by EMODnet Physics.
Data are available for download in netCDF format.

Last data update: 2021-06
Sea surface Salinity annual anomaly [base line 1990-2020] (PSU)

Sea surface salinity annual anomaly calculated over a 30-year baseline period (1990–2020). This product provides the difference between a yearly average sea surface salinity and the average of the baseline period. The product is based on the Coriolis Ocean database for ReAnalysis (CORA) v5.2 (surface data only), developed by IFREMER for Copernicus Marine Service.
Data are accessible and available for download via the EMODnet Physics ERDDAP server.

DOI: https://doi.org/10.17882/46219
Salinity in the Water Column (1960 - 2024) - CORA (PSU)

Global gridded fields of salinity in the water column (1960–2024), based on the Coriolis Ocean database for ReAnalysis (CORA, source: INSITU_GLO_TS_REP_OBSERVATIONS_013_001_b; gridded product: INSITU_GLO_PHY_TS_OA_MY_013_052), developed by OCEANSCOPE for Copernicus Marine Service and downstreamed by ETT for EMODnet Physics.
Data are accessible and available for download via the EMODnet Physics ERDDAP server.

Last data update: 2025-08-19
Temperature in the Sea Water Column - GLODAPv2_2016b

Global mapped climatology of seawater temperature derived from the Global Ocean Data Analysis Project version 2 (GLODAPv2.2016b) dataset, using the Data Interpolating Variational Analysis (DIVA) mapping method. The product covers all ocean basins for the observation period 1972–2013, providing gap-filled fields on a 1° × 1° horizontal grid interpolated onto 33 standard depth surfaces. Error fields are included and calculated using the clever poor man's error estimation method within DIVA.
GLODAPv2 is a quality-controlled, internally consistent compilation of surface-to-bottom ocean biogeochemical bottle data. Note that the mapped gridded climatology is available exclusively for this 2016b version; subsequent GLODAP annual updates (v2.2019 onwards) are released as merged and adjusted observation products only, without a corresponding mapped climatology. 
Data are available for download in netCDF format.

DOI: https://doi.org/10.3334/CDIAC/OTG.NDP093_GLODAPv2
Last data update:2024-03-26
EMODnet Physics European Impulsive Noise Events Registry

EMODnet Physics - Impulsive Noise Events Registry. Impulsive noise events are expressed in Pulse Block Days (PBDU), defined as the number of days in a calendar year in which impulsive sound activity occurred within a given grid cell. The product applies a common grid (10' latitude × 20' longitude) to harmonise data from the Regional Sea Convention event registries. Data are collected at national level and contribute to the respective Regional Sea Convention registries: OSPAR and HELCOM registries are hosted by ICES; Mediterranean and Black Sea data are integrated from CTN under the ACCOBAMS Impulsive Noise Registry demonstrator.
European seas - DIVAnd 4D monthly analysis of Water body phosphate 1960/2020 v2023

Water body phosphate - Monthly Climatology for the European Seas for the period 1960-2020 on the domain from longitude -45.0 to 70.0 degrees East and latitude 24.0 to 83.0 degrees North.
Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network.
Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.9, 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.
European seas - DIVAnd 4D monthly analysis of Water body dissolved inorganic nitrogen (DIN) 1960/2020 v2023

Water body dissolved inorganic nitrogen (DIN) - Monthly Climatology for the European Seas for the period 1960-2020 on the domain from longitude -45.0 to 70.0 degrees East and latitude 24.0 to 83.0 degrees North.
Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network.
Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.9, 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.
Baltic Sea - DIVAnd 4D 6-year seasonal analysis of Water body silicate 1966/2023 v2025

Running 6-year analysis of Water body silicate in the Baltic Sea. 
    Four seasons (March-May, June-August, September-November, December-February). 
    Every year of the time dimension corresponds to a 6-year centred average. 
    Periods span between 1966-2023. 
    Analyses for depths (m) (HELCOM standard depths): 0, 5, 10, 15, 20, 30, 40, 50, 60, 70, 80, 90, 100, 125, 150, 175, 200, 225, 250, 275, 300.
    
    Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. 
    Description of DIVA analysis: Geostatistical data analysis by DIVAnd (Data-Interpolating Variational Analysis in n dimensions) tool. 
    GEBCO_08 Grid (30 arc-seconds) topography is used for the contouring preparation. 
    Files contain analysed fields, error fields and combined field with the deepest value for each grid point selected. 
    Also pre-masked fields using relative error threshold 0.3 and 0.5 are included. 
    In the analyses the horizontal correlation length is fixed to 80 km and decreasing towards the coastline, 
    the vertical correlation length is varying with depth.
    Signal to noise ratio is fixed to 1.0. 
    Background fields were created using data for the given time period and season. 
    Log transformation was used in the analyses. No detrending, advection constraints or weighting are applied. 
    Unit is umol/l.