AndreaBozzo/ceres-open-data-index huggingface dataset:
Baltic Sea - DIVAnd 6-year seasonal analysis of Water body dissolved inorganic nitrogen 1975/2021 v2023

Running 6-year analysis of Water body dissolved inorganic nitrogen 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 1975-2021. 
    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.
Baltic Sea - DIVAnd 6-year seasonal analysis of Water body phosphate 1975/2021 v2023

Running 6-year analysis of Water body phosphate 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 1975-2021. 
    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.
Baltic Sea - DIVAnd 6-year seasonal analysis of Water body silicate 1965/2021 v2023

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 1965-2021. 
    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.
Contaminants: Metals and metalloids - Cadmium (median values), v2024

This product displays for Cadmium, median values since 2012 that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2024. 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.
Black Sea - Danube Delta - DIVAnd 4D seasonal analysis of Water body silicate 1970/2019 v2023

Water body silicate - Seasonal Climatology for NW Black Sea (region in front of Danube Delta months) for the period 1970-2019 on the domain: Lon E28.5-30.5°E, Lat N43.7-45.6°N. 
Season definition: winter: December-February, - spring: March-May, - summer: June-August, - autumn: September-November.
Units: umol/l.
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 of 47.73km and vertical correlation length of 45m were applied. 
The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees.
The vertical resolution is 17 depth levels: 0.0, 2.0, 4.0, 6.0, 8.0, 10.0, 15.0, 20.0, 25.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0, 90.0, 100.0m.  
The error variance (epsilon2): 1 
An anamorphosis transformation was applied to the data: 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 and visual inspection (Observations with residuals outside the minimum and maximum values of the 99% quantile were discarded from the analysis after thoroughly visual inspection).
Baltic Sea - Gulf of Riga - DIVAnd 4D seasonal analysis of Water body dissolved inorganic nitrogen 1995/2021 v2023

Water body dissolved inorganic nitrogen - Seasonal Climatology for Gulf of Riga for the period  1995-2021. 
    Four seasons (March-May, June-August, September-November, December-February). 
    Analyses for depths (m) (HELCOM standard depths): 0, 5, 10, 15, 20, 25, 30, 40, 50.
    
    Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network.
    
    Description of DIVAnd analysis: Geostatistical data analysis by DIVA (Data-Interpolating Variational Analysis) tool. 
    GEBCO_04 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 25 km and decreasing towards the coastline, 
    the vertical correlation length is varying with depth.
    Signal to noise ratio were fixed to 1.0. 
    Log transformation was used in the analyses. No detrending, advection constraints or weighting are applied. 
    The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees.
    Unit is umol/l.
Baltic Sea - Gulf of Riga - DIVAnd 4D seasonal analysis of Water body chlorophyll-a 2001/2021 v2023

Water body chlorophyll-a - Seasonal Climatology for Gulf of Riga for the period  2001-2021. 
    Four seasons (March-May, June-August, September-November, December-February). 
    Analyses for depths (m) (HELCOM standard depths): 0, 5, 10, 15, 20, 25, 30, 40.
    
    Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network.
    
    Description of DIVAnd analysis: Geostatistical data analysis by DIVA (Data-Interpolating Variational Analysis) tool. 
    GEBCO_04 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 25 km and decreasing towards the coastline, 
    the vertical correlation length is varying with depth.
    Signal to noise ratio were fixed to 1.0. 
    Log transformation was used in the analyses. No detrending, advection constraints or weighting are applied. 
    The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees.
    Unit is mg/m3.
Black Sea - Danube Delta - DIVAnd 4D seasonal analysis of Water body phosphate 1970/2019 v2023

Water body phosphate - Seasonal Climatology for NW Black Sea (region in front of Danube Delta months) for the period 1970-2019 on the domain: Lon E28.5-30.5°E, Lat N43.7-45.6°N. 
Season definition: winter: December-February, - spring: March-May, - summer: June-August, - autumn: September-November.
Units: umol/l.
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 of 47.73km and vertical correlation length of 45m were applied. 
The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees.
The vertical resolution is 17 depth levels: 0.0, 2.0, 4.0, 6.0, 8.0, 10.0, 15.0, 20.0, 25.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0, 90.0, 100.0m.  
The error variance (epsilon2): 1 
An anamorphosis transformation was applied to the data: 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 and visual inspection (Observations with residuals outside the minimum and maximum values of the 99% quantile were discarded from the analysis after thoroughly visual inspection).
Contaminants: Organometals - Triphenyltin (median values), v2024

This product displays for Triphenyltin, median values since 2012 that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2024. 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.
Baltic Sea - Eutrophication and Acidity aggregated datasets 1902/2024 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 Baltic Sea. Data were aggregated and quality controlled by the "Swedish Meteorological and Hydrological Institute (SMHI)" in Sweden.
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 1935/2024 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 Black Sea, Marmara Sea and Sea of Azov. Data were aggregated and quality controlled by the '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 ).
Greater North Sea and Celtic Seas - Beach litter aggregated datasets 2001/2023 v2025

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 dataset contains standardized, harmonized and validated data collections from beach litter (monitoring and other sources). 
Datasets concerning beach and 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.
For beach litter, the harmonized datasets contain all unrestricted EMODnet Chemistry data on beach litter, including monitoring data, data from cleaning surveys and data from research. A relevant part of the monitoring data has been considered for assessment purposes by the European institutions and therefore is tagged as MSFD_monitoring. EMODnet beach litter data and databases are hosted and maintained by 'Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Division of Oceanography (OGS/NODC)' from Italy.
Data are formatted following Guidelines and forms for gathering marine litter data, which can be found at: https://doi.org/10.6092/15c0d34c-a01a-4091-91ac-7c4f561ab508
The updated vocabularies of admitted values are available at:
https://nodc.ogs.it/marinelitter/vocab
The harmonized datasets can be downloaded as EMODnet Beach litter data format  Version 7.0, which is a spreadsheet file composed of 4 sheets: beach metadata, survey metadata, animals and litter. Local_CDI field in the survey metadata sheet allows to retrieve the original data.
Arctic Ocean - Beach litter aggregated datasets 2011/2023 v2025

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 dataset contains standardized, harmonized and validated data collections from beach litter (monitoring and other sources). 
Datasets concerning beach and 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.
For beach litter, the harmonized datasets contain all unrestricted EMODnet Chemistry data on beach litter, including monitoring data, data from cleaning surveys and data from research. A relevant part of the monitoring data has been considered for assessment purposes by the European institutions and therefore is tagged as MSFD_monitoring. EMODnet beach litter data and databases are hosted and maintained by 'Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Division of Oceanography (OGS/NODC)' from Italy.
Data are formatted following Guidelines and forms for gathering marine litter data, which can be found at: https://doi.org/10.6092/15c0d34c-a01a-4091-91ac-7c4f561ab508
The updated vocabularies of admitted values are available at:
https://nodc.ogs.it/marinelitter/vocab
The harmonized datasets can be downloaded as EMODnet Beach litter data format  Version 7.0, which is a spreadsheet file composed of 4 sheets: beach metadata, survey metadata, animals and litter. Local_CDI field in the survey metadata sheet allows to retrieve the original data.
Greater North Sea and Celtic Seas- Seafloor litter aggregated datasets 2011/2024 v2025

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.
Tesis doctoral Abril, A. M.: Los foraminíferos bentónicos del litoral balear y su actividad biológica en el ecosistema posidonícola

Datos del estudio cualitativo y cuantitativo de las biocenosis de foraminíferos posidonícolas en diferentes puntos del litoral balear.
Tesis doctoral ABRIL, A. M., 1993, Los foraminíferos bentónicos del litoral balear y su actividad biológica en el ecosistema posidonícola, Universitat de les Illes Balears, 700 p.

Los datos corresponden a las muestras de hoja de P. oceanica recogidas en primavera y verano de 1989. Es parte de una serie temporal más larga que incluye muestreos durante primavera, verano, otoño e invierno de 1989 a 1991. 

TÉCNICA O MÉTODO DE MUESTREO: Recogida mediante buceo con escafandra autónoma de hojas y rizomas de P. oceanica, sometidas a un shock osmótico durante 24h en agua dulce para extraer los foraminíferos adheridos.
European seas - DIVAnd 4D monthly analysis of Water_body_ammonium 1960/2023 v2025

Water_body_ammonium - 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.
European seas - DIVAnd 4D monthly analysis of Water_body_silicate 1960/2023 v2025

Water_body_silicate - 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.