AndreaBozzo/ceres-open-data-index huggingface dataset:
CHEMINI total dissolved iron concentrations from the EMSO-Azores observatory

This dataset contains dissolved iron concentrations ((Fe(II) + Fe(III); µmol/l) acquired during (Vuillemin et al., 2009)-[https://doi.org/0.1016/j.dsr.2009.02.002]). The sample inlet was positioned on the mussel bed at the base of the Tour Eiffel edifice of the Lucky Strike hydrothermal vent (1695 depth).CHEMINI Fe was mounted on the TEMPO module which was itself connected to the SeaMON East node of the EMSO-Azores observatory.
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.
EMODnet Digital Bathymetry (DTM 2024) - Tile F8

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.
Marine Sightings - Miscellaneous species records from Natural resources Wales (NRW), 2008 onwards

This dataset comprises of ad-hoc records of species recorded by NRW staff outside of the methodology of dedicated research and monitoring surveys. Although any species may be recorded, records are usually made where they are likely to be of interest, such as, rare and scarce species and species outside of their normal range, species that have not previously been recorded in a site etc.
Purpose of data capture: To account for species of interest that are not recorded as part of any NRW monitoring or research projects or ad-hoc records that are supplied to NRW for its buisness use.

Methods of data capture: Field observations and incidental records taken by field staff.

Data quality: Not stated.
EMODnet Digital Bathymetry (DTM 2020) - Tile E8

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.
Mediterranean Sea DIVA 4D analysis of Water_body_pH

Moving 10-years analysis of pH at Mediterranean Sea for each season :
- winter (January-March),
- spring (April-June),
- summer (July-September),
- autumn (October-December).

Every year of the time dimension corresponds to the 10-year centered average of each season.
Decades span from 1959-1968 until 2005-2014.
Observational data span from  1930 to 2014.
Depth range (IODE standard depths): -1500.0, -1400.0, -1300.0, -1200.0, -1100.0, -1000.0, -900.0, -800.0, -700.0, -600.0, -500.0, -400.0, -300.0, -250.0, -200.0, -150.0, -125.0, -100.0, -75.0, -50.0, -30.0, -20.0, -10.0, -5.0, -0.0.

Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network.

Description of DIVA analysis:  Geostatistical data analysis by DIVA (Data-Interpolating Variational Analysis) tool. Profiles were interpolated at standard depths using weighted parabolic interpolation algorithm (Reiniger and Ross, 1968). GEBCO 1min topography is used for the contouring preparation. Analyzed filed masked using relative error threshold 0.3 and 0.5.

DIVA settings: A constant value for signal-to-noise ratio was used equal to 1. Correlation length was optimized and filtered vertically and a seasonally-averaged profile was used.

Logarithmic transformation applied to the data prior to the analysis.
Background field: the data mean value is subtracted from the data.
Detrending of data: no.
Advection constraint applied: no.

Originators of Italian data sets-List of contributors:
o	Brunetti Fabio (OGS)
o	Cardin Vanessa, Bensi Manuel doi:10.6092/36728450-4296-4e6a-967d-d5b6da55f306
o	Cardin Vanessa, Bensi Manuel, Ursella Laura, Siena Giuseppe doi:10.6092/f8e6d18e-f877-4aa5-a983-a03b06ccb987
o	Cataletto Bruno (OGS)
o	Cinzia Comici Cinzia (OGS)
o	Civitarese Giuseppe (OGS)
o	DeVittor Cinzia (OGS)
o	Giani Michele (OGS)
o	Kovacevic Vedrana (OGS)
o	Mosetti Renzo (OGS)
o	Solidoro C.,Beran A.,Cataletto B.,Celussi M.,Cibic T.,Comici C.,Del Negro P.,De Vittor C.,Minocci M.,Monti M.,Fabbro C.,Falconi C.,Franzo A.,Libralato S.,Lipizer M.,Negussanti J.S.,Russel H.,Valli G., doi:10.6092/e5518899-b914-43b0-8139-023718aa63f5
o	Celio Massimo (ARPA FVG)
o	Malaguti Antonella (ENEA)
o	Fonda Umani Serena (UNITS)
o	Bignami Francesco (ISAC/CNR)
o	Boldrini Alfredo (ISMAR/CNR)
o	Marini Mauro (ISMAR/CNR)
o	Miserocchi Stefano (ISMAR/CNR)
o	Zaccone Renata (IAMC/CNR)
o	Lavezza, R., Dubroca, L. F. C., Ludicone, D., Kress, N., Herut, B., Civitarese, G., Cruzado, A., Lefèvre, D., Souvermezoglou, E., Yilmaz, A., Tugrul, S., and Ribera d'Alcala, M.: Compilation of quality controlled nutrient profiles from the Mediterranean Sea, doi:10.1594/PANGAEA.771907, 2011.

Units: pH units
National Pilot Monitoring Studies 2016, Improving Environmental Monitoring in the Black Sea - Phase II (EMBLAS-II), (Macrozoobenthos)

Macrozoobenthos data: species composition, abundance (ind/m²), biomass (g/m²) collected during the survey of the National Pilot Monitoring Studies Ukraine (NPMS UA) in the Ukrainian waters (North-Western part of the Black Sea) onboard the R/V "Mare Nigrum" (Romania) in May 2016.
Data collected within the EMBLAS-II "EU-UNDP Project 'Improving Environmental Monitoring in the Black Sea' (EMBLAS-II)" (http://emblasproject.org/). EMBLAS-II is co-financed by the European Commission (EC) and United Nations Development Programme (UNDP). The project implementation started on 1 April 2014 and ended on 31 May 2018, having the total duration of 50 months. The EMBLAS project is addressing the overall need for support in protection and restoring the environmental quality and sustainability of the Black Sea. The specific objectives are as follows: Improve availability and quality of Black Sea environmental data in line with the MSFD and Black Sea Strategic Action Plan (2009) needs; Improve partner countries' ability to perform marine environmental monitoring along MSFD principles, taking into account the Black Sea Diagnostic Report II recommendations on capacity building.
The National Pilot Monitoring Studies (NPMS) and Joint Open Sea Survey (JOSS) Programme was developed within the framework of Project Activities. The NPMS-2016 was performed in period 2016.05.17-2016.05.21 in the North-Western shelf part of the Black Sea onboard the RV "Mare Nigrum".  31 samples taken in 15 coastal as well as shelf stations on the Ukrainian part (NPMS UA). The distribution of stations on depth intervals was as follow: 10 - 20 m: 6 stations; 21 - 30 m:  5 stations; 31 - 52 m:  4 stations.
The macrozoobenthos sampling followed the protocol described by Todorova - Konsulova (2005). Thus, all samples have been collected with a Van Veen grab with surface of 0.135 m2, washed through a 0.5 mm mesh size sieve, fixed with formaldehyde 4% buffered with seawater and finally stored in plastic jars. In laboratory, the organisms were identified to the lowest possible taxonomic level. Sampling performed by O. Kachalov (UkrSCES).
Beach litter - Number of surveys & temporal coverage per beach - Other sources 2001/2021 v2023

This visualization product displays the number of non-MSFD monitoring surveys, research & cleaning operations and the associated temporal coverage per beach.


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 surveys from non-MSFD monitoring, cleaning and research operations;
		- Exclusion of beaches without coordinates.


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.
Miesmuschelb├ñnke im Nieders├ñchsischen Wattenmeer 2013 (UIG), Blue mussel beds in the Wadden Sea of Lower Saxony 2013

Miesmuschelb├ñnke im Nieders├ñchsischen Wattenmeer 2013. Im Rahmen des Miesmuschel Managementplans wurden j├ñhrliche Kartierungen der eulitoralen Miesmuschelb├ñnke im Nieders├ñchsischen Wattenmeer durchgef├╝hrt. Die Erfassung erfolgte mittels stereoskopischer Auswertung von Luftbildern. Die Befliegungen fanden im Fr├╝hjahr bzw. Sommer fl├ñchendeckend statt. (Deutsch), Blue mussel beds in the Wadden Sea of Lower Saxony 2013. The intertidal blue mussel beds were determined yearly in the scope of the blue mussel management plan. Aerial surveys were carried out and aerial photographs were analysed by using a stereoscope to detect the mussel beds. (Englisch)
Underwater visual census around anchored FAD in Mayotte

To improve our knowledge of the aggregation of species around anchored FADs in Mayotte, diving surveys are carried out every 3 months on 3 FADs. Various environmental parameters are also collected in order to establish links between them and aggregations.
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.
Belgische mariene invertebratencollectie van het Koninklijk Belgisch Instituut voor Natuurwetenschappen

The Royal Belgian Institute of Natural Sciences Belgian Marine Invertebrates collection contains 135 digitised specimens over 14 taxa (mostly species). This dataset only contains the marine species of the collection. The following classes are included: Bivalvia Linnaeus, 1758, Cephalopoda Cuvier, 1797, Gastropoda Cuvier, 1797, Polyplacophora Gray, 1821.
North Sea - DIVAnd 4D 6-year seasonal analysis of Water body silicate 1980/2020 v2021

Moving 6-year analysis and visualization of Water body silicate in the North Sea, four seasons: winter (dec-feb), spring (mar-may), summer (jun-aug), autumn (sep-nov). 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 2.7.2. 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 dissolved oxygen concentration 1950/2021 v2023

Moving 6-year analysis of Water body dissolved oxygen concentration 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 1950/1955 until 2016/2021. Observation data span from 1950 to 2021. 
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, 400.0, 500.0, 600.0, 700.0, 800.0, 900.0, 1000.0, 1100.0, 1200.0, 1300.0, 1400.0, 1500.0, 1750.0, 2000.0, 2500.0, 3000.0]. 
Data sources: observational data from SeaDataNet/EMODNet Chemistry Data Network. 
Descrption of DIVAnd analysis: the computation was done with DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.4, 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 400km 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.Anam.loglin) was applied to the data prior to the analysis to avoid unrealistic negative values. 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: umol/l.
Combined DIVA 4D 10-year analysis of Water body ammonium

Combined product of Water body ammonium based on DIVA 4D 10-year analysis on five regions : Northeast Atlantic Ocean, North Sea, Baltic Sea, Black Sea, Mediterranean Sea. The boundaries and overlapping zones between these five regions were filtered to avoid any unrealistic spatial discontinuities. This combined Water body ammonium product is masked using the relative error threshold 0.5.
Units: umol/l.
Seafloor litter - Composition of litter according to material categories in percent per trawl 2007/2024 v2025

This visualization product displays the marine litter material categories percentage per trawl.

EMODnet Chemistry included the collection of marine litter in its 3rd phase. Since the beginning of 2018, data of seafloor litter collected by international fish-trawl surveys 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 (OSPAR and MEDITS protocols) and reference lists used on a European scale. Moreover, within the same protocol, different gear types are deployed during bottom trawl surveys.

Unlike other EMODnet seafloor litter products, all trawls surveyed since 2007 are included in this map even if the wingspread and/or the distance are/is unknown.
Only surveys with an unknown number of items were excluded from this product.

Harmonization of the material categories between ICES and MEDITS lists was performed and the following calculation was applied: 
Material %  = (∑Number of items of each material category*100)/(∑Number of items of all material categories)

More information on data processing and calculation are detailed in the attached document.

Warning: the absence of data on the map does not necessarily mean that they do not exist, but that no information has been entered in the Marine Litter Database for this area.
NE Scotland marine mammal records 1800-2010

This dataset contains marine mammal records, i.e. various surveys and  mostly casual observations, held at the "North-East Scotland Biological Records Centre" (NESBReC). The majority of the casual recordings are submitted through voluntary efforts.
This dataset contains marine mammal records, i.e. various surveys and  mostly casual observations, held at the "North-East Scotland Biological Records Centre" (NESBReC). The majority of the casual recordings are submitted through voluntary efforts.

Spatial coverage: Records are compiled from North-East Scotland (administrative areas of Aberdeen City, Aberdeenshire, Moray and Cairngorms Local Biodiversity Action Plan area). However, records are biased towards well recorded areas, especially Deeside, Aberdeen and the coast and, to a lesser extent, Donside. Records are collected at a variety of spatial scales ranging from 2 to 10 figure grid references.

Temporal coverage: Records span the time period from 1850 to 2010. The vast majority of records are since 1990, with an upsurge in recording post 2000. Most recent dates are precise. Some, especially older records, refer to just year.

Data quality: Records have been submitted to varying levels of verification. Some critical species have been verified by local and national experts, though many records have not been verified. Please note: NESBReC shares data with a number of local and national recording groups; therefore, some records found within this dataset may be replicated in other datasets available from NBN.
Annual wrack biomass of the northern Portugal sandy beaches

Wrack accumulations are a source of nutrients on sandy beaches and host invertebrate species, increasing local biodiversity. The distribution of these important accumulations varies in space and time depending on the environmental conditions of the area and the biological factors of the species that compose it. Consequently, this spatio-temporal variability in the wrack accumulations remains poorly understood in some regions. This database compiles the monthly variability in dry weight biomass of six seaweed taxa(Saccorhiza polyschides, Fucus spp., Ascophyllum nodosum, Cystoseira spp., Ulva spp. and Sargassum muticum) which forming the wrack of four sandy beaches in the northern Portugal (Âncora, Cabedelo, Paramos and São Pedro de Maceda)through a year.
Samples of wrack of the taxa Saccorhiza polyschides, Fucus spp., Ascophyllum nodosum, Cystoseira spp., Ulva spp. and Sargassum muticum were collected along a 10 m transect at each beach and date (May 2019, June 2019, July 2019, August 2019, September 2019, October 2019, November 2019, December 2019, January 2020, February 2020, March 2020 and May 2020). The fresh and decomposed wrack of each taxa was collected and transported to the laboratory where it was cleaned and dried at 60°C until it reached a constant weight to quantify the total biomass per 10 m transect.
Eurytemora affinis in the Sluice Dock Oostende (1970-1971)

Abundance of Eurytemora affinis species in the Sluice Dock. The data were digitized by VLIZ from the original report: Vandendaele, V. (1972). Bijdrage tot de studie van de auto-ecologie van Eurytemora affinis in de Spuikom te Oostende. BSc Thesis. Vrije Universiteit Brussel: Brussel. 76 pp.
50L water samples were taken between 2 April 1970 and 19 August 1971 using a planktonnet with mesh size 48 mm. Dataset contains counts on the different lifestages of individual Eurytemora affinis species.
2918_DTM_CNR-IGAG-2_CS_Tyrrhenian

The bathymetric data have been acquired, during the research cruise Kalet, with a Seabat 8160 (50 kHz) multibeam echosounder mounted on board of the CNR research vessel "Urania" (chief scientist F.L. Chiocci; party chief F.L. Chiocci). The main objective of this cruise was to investigate two sectors of the Ionian (Sicily) and Tyrrhenian (Calabria) continental margin for studying both large-scale gravitational and erosive processes.