AndreaBozzo/ceres-open-data-index huggingface dataset:
Zooplankton monitoring RADIALES - section off Vigo (NW Spain, Galicia); mid-shelf (station depth 97 m)

Zooplankton time-series from the time-series monitoring programme RADIALES, done by IEO at different stations in the Northwest and North Iberian Shelf.
Measured variables:
- 	Size-fractionated biomass, for size-fractions 200-500, 500-1000, 1000-2000 and >2000 µm ESD (equivalent spherical diameter).
- Water-column integrated abundance (individuals/m2) and/or concentration (individuals/m3) of meso-zooplankton (to the species level whenever possible.

	ollection method: WP2 plankton net of 200 micrometer mesh-size. Vertical hauls from 5 above the bottom (station depth) to the surface.

	Sampling depth: Water-column integrated hauls from 5 m above the bottom (or a maximum of 100m) to the surface

	Preservation of samples: 4% sodium borate-buffered formalin-seawater solution.

	Analytical method: Identification / Enumeration under the stereomicroscope. Taxonomic classification is carried out by different experts depending on location.

	Format of the files: csv file; matrix of depth-integrated water column abundance (individuals/m2 and/or individuals/m3) by motnh and by taxonomic affiliation (to the species level whenever possible), for each sampling station (latitude / longitude).

	All data are organised in a common Access database
Marine data from continuous acquisition systems on board the R/V Miguel Oliver in Spanish waters in the framework of Air-Sea interaction studies (2014-2023)

This dataset combines meteorological and sea surface (thermosalinometer) data collected between 2014 and 2023 aboard the R/V Miguel Oliver, owned and operated by the Spanish General Secretariat of Fisheries. These data have been analyzed within the framework of air-sea interaction flux studies along Spanish waters. Although atmospheric pressure data are not available in the considered records—making it impossible to calculate air-sea fluxes using the bulk approximation—the remaining variables retain scientific value and are therefore revised, included and presented in this dataset. Meteorological variables include air temperature (DRYT), relative humidity (RELH), wind speed (WSPD), and total incident radiation (RDIN), which encompasses both longwave and shortwave components. Although RDIN is not directly used for flux calculations, it is included because it complements the heat storage balance of the ocean alongside the flux variables. The sea surface temperature is stored as TEMP. The monthly files are stored in monthly Medar/Medatlas-format (Lowry et al., 2024). with hourly resolution. They are named as follows: "29MO_YYYYMM.dat", where "29MO" identifies the vessel (according to C17 SeaDataNet vocabulary),"YYYY" represents the year, and "MM" indicates the month. The dataset has undergone quality control procedures in accordance with SeaDataNet guidelines (Schaap and Lowry, 2010). As per the Medar/Medatlas format, quality control flags are included in an additional column to supplement the described variables
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.
Mediterranean Sea - Eutrophication and Acidity aggregated datasets 1911/2020 v2021

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 Mediterranean Sea with 187722 CDI records (180932 Vertical profiles and 6790 Time series). Vertical profiles temporal range is from 1911-08-17 to 2020-10-16. Time series temporal range is from 1974-06-04 to 2018-02-20. Data were aggregated and quality controlled by 'Hellenic Centre for Marine Research, Hellenic National Oceanographic Data Centre (HCMR/HNODC)' from Greece.
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.
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://dx.doi.org/10.6092/4e85717a-a2c9-454d-ba0d-30b89f742713
Explore and extract data at: https://emodnet-chemistry.webodv.awi.de/eutrophication%3EMediterranean
The aggregated dataset can also be downloaded as ODV collection and spreadsheet, which is composed of 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 ).
The original datasets can be searched and downloaded from EMODnet Chemistry Chemistry CDI Data and Discovery Access Service: https://emodnet-chemistry.maris.nl/search
Mediterranean Sea DIVA 4D analysis of Water_body_chlorophyll-a

Moving 10-years analysis of chlorophyll-a 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 1972-1981 until 2006-2015.
Observational data span from 1911 to 2015.
Depth range (IODE standard depths): -2500.0, -2000.0, -1750.0, -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: mg/m^3
Royal Netherlands Institute for Sea Research (NIOZ) - Kom Fyke Mokbaai

The Royal Netherlands Institute for Sea Research (NIOZ) started kom fishing near Texel in the Netherlands in 1959. The main benefits were the insight in the occurrence and the abundance of the various species, the collection of undamaged live fish for experiments at both the Zoological Station and the various universities and the provision of food for the experiments with seals at the Texels Museum (nowadays Ecomare).
From 1960 onwards, kom fyke fishing has been continued without any changes in methodology. During the period 1960 – 1974 fishing occurred with different types of nets at various locations. From 1974 onwards fishing was restricted to one kom-fyke in the Mokbaai during the period March-October. From the start, all individuals were identified and counted and from 1971 onwards, in addition all individuals were measured once every two weeks and from the mid 70-ties all individuals caught were counted and measured on a daily basis.
Autonomous ibuttons temperature data from the EMSO-Azores observatory, 2015-2016

This dataset contains temperature data acquired between April 2015 and September 2016 using16 thermocrons i-buttons © installed along chains in the field of view of the SMOOVE camera connected the SeaMoN East frame. Data was acquired every 2 hours. The array is not connected to an energy node. They are associated with the SMOOVE camera which is part of the SeaMoN East ecological monitoring node.
EMODnet Human Activities, Algae Production

This dataset stems from the Joint Research Centre (JRC) Biomass Mandate (https://knowledge4policy.ec.europa.eu/projects-activities/jrc-biomass-mandate_en) and it is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities) and on the platform from the European Commission’s Knowledge Centre for Bioeconomy (https://knowledge4policy.ec.europa.eu/visualisation/bioeconomy-different-countries_en#algae_prod_plants). The dataset provides information on the location (geographic coordinates and country) of the production facilities and their related info as the group of produced organism (macroalgae, microalgae and spirulina), the step in the value chain (Producer, Processor, Technology provider, Consultancy, Research and Development, Trader/Exporter) the production method (Fermenters, Harvesting , Photobioreactors, Open ponds, Semi Open ponds, land-based or at sea Aquaculture, Integrated multi-trophic or not) and the species farmed (see dataset). The data have been collected for the following countries: Austria, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Faroe Islands, France, Germany, Greece, Greenland, Hungary, Iceland, Ireland, Italy, Latvia, the Netherlands, Norway, Portugal, Spain, Sweden, Switzerland and the United Kingdom. The JRC, through a study commissioned for the Knowledge Centre for Bioeconomy in September 2022, has updated the database with the latest information and extended the scope to new socio-economic data, which are made available as a dataset collection (https://publications.jrc.ec.europa.eu/repository/handle/JRC129053) and an accompanying report (https://publications.jrc.ec.europa.eu/repository/handle/JRC130107). More detailed information on the Status of the Algae Producing Industry in Europe can be found in a scientific publication in Frontiers in Marine Science (https://publications.jrc.ec.europa.eu/repository/handle/JRC122250). All this work by the JRC aims at building a reliable database to characterize the algae sector and to support informed European policies on Blue Growth and Bioeconomy.
Combined DIVA 4D 6-year analysis of Water body dissolved oxygen concentration 1983-2016 v2018

The analysis was performed per season using DIVA software tool (Data-Interpolating Variational Analysis). The analyses products are stored as NetCDF CF files and made available as WMS layers for easy browsing and adding. Every step of the time dimension corresponds to a 6-year moving average from 1983 to 2016. The depth dimension spans from surface to 1000 m, with 21 vertical levels.
The boundaries and overlapping zones between these regions were filtered to avoid any unrealistic spatial discontinuities. This combined water body dissolved oxygen concentration product is masked using the relative error threshold 0.5. Units: µmol/l Created by 'University of Liège, GeoHydrodynamics and Environment Research (ULiège-GHER)'. The data used as input for DIVA have been extracted from the EMODnet Chemistry Download Service: https://emodnet-chemistry.maris.nl/search
Intermediate regional data products: Mediterranean Sea - DIVA 4D 6-year analysis of Water body dissolved oxygen concentration 1971/2017 v2018, Arctic Ocean - DIVA 4D 6-year analysis of Water body dissolved oxygen concentration 1980/2017 v2018, North Sea - DIVA 4D 6-year analysis of Water body dissolved oxygen concentration 1980/2017 v2018, Black Sea - DIVA 4D 6-year analysis of Water body dissolved oxygen concentration 1990/2016 v2018, North East Atlantic Ocean - DIVA 4D 6-year analysis of Water body dissolved oxygen concentration 1960/2017 v2018, Baltic Sea - DIVA 4D 6-year analysis of Water body dissolved_oxygen_concentration 1980/2016 v2018
Modelled distribution map of Syringammina fragilissima fields in the North East Atlantic in 2021

Species distribution models (GAM, Maxent and Random Forest ensemble) predicting the distribution of Syringammina fragilissima fields assemblage in the North East Atlantic. This community is considered ecologically coherent according to the cluster analysis conducted by Parry et al. (2015) on image sample. Modelling its distribution complements existing work on their definition and offers a representation of the extent of the areas of the North East Atlantic where they can occur based on the best available knowledge. This work was performed at the University of Plymouth in 2021.


Citation: Graves, K.; Howell, K.; University of Plymouth (UoP), United Kingdom; (2023): Modeled distribution map of Syringammina fragilissima fields in the North East Atlantic in 2021. https://marineinfo.org/doc/dataset/8219
Phytoplankton data collected in the Black Sea, Bosphorus area, Marmara Sea, Aegean Sea, Ionian Sea, Tunisian Strait, and Mediterranean Sea during the 65th cruise of the R/V "Kovalevskiy" in 1969-1970

Phytoplankton data collected in the Black Sea, Bosphorus  area, Marmara Sea, Aegean Sea, Ionian Sea, Tunisian Strain, and Mediterranean Sea during 65 cruise of the R/V "Kovalevskiy" and processed by Lyudmila Georgieva. 
The samples were taken with 6 liter bathometers at standard depths and in the thermocline layer.  The standard sedimentation technique for samples preparation (Usachev, 1926) was used. Samples were preserved by buffered formalin 40% and were settled within 30 days. Then a volume of water was siphoned off and samples were concentrated to 10-20 ml. After thorough mixing the subsamples (0.05 or 0.1 ml) were transferred to the counting chamber. Organisms were counted in two subsamples at ×300 - 400 magnification.
North East Atlantic Ocean - Contaminants aggregated datasets 1966/2019 v2021

EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification and contaminants. The chemicals chosen reflect importance to the Marine Strategy Framework Directive (MSFD). This regional aggregated dataset contains all unrestricted EMODnet Chemistry data on contaminants; temperature, salinity and additional sampling parameters are included when available. The spatial coverage is the North East Atlantic Ocean with 2438 CDI records divided per matrices: 126 in biota (as time series), 1704 in water (as vertical profiles) and 608 in sediment (497 Vertical profiles and 111 Time series). For water data, vertical profiles temporal range is from 1974-11-22 to 2013-08-15. For sediment data, vertical profiles temporal range is from 1966-01-01 to 2007-06-30 and time series temporal range is from 1999-06-05 to 2014-10-21. For biota data, time series temporal range is from 1979-02-28 to 2019-03-07. Data were aggregated and quality controlled by ‘IFREMER / IDM / SISMER - Scientific Information Systems for the SEA’ from France.    	
Regional datasets concerning contaminants are automatically harvested. Parameter names in these datasets are based on P01, BODC Parameter Usage Vocabulary, which is available at: https://vocab.seadatanet.org/p01-facet-search. Each measurement value has a quality flag indicator. The resulting data collections for each Sea Basin are harmonised, and the collections are quality controlled by EMODnet Chemistry Regional Leaders using ODV Software and following a common methodology for all Sea Regions. 
Harmonisation means that: (1) unit conversion is carried out to express contaminant concentrations with a limited set of measurement units (according to EU directives 2013/39/UE; Comm. Dec. EU 2017/848) and (2) merging of variables described by different “local names” ,but corresponding exactly to the same concepts in BODC P01 vocabulary.
Detailed documentation is available at: https://doi.org/10.6092/8b52e8d7-dc92-4305-9337-7634a5cae3f4
Explore and extract data at: https://emodnet-chemistry.webodv.awi.de/contaminants%3EAtlantic
The harmonised dataset can also be downloaded as ODV spreadsheet (TXT file), 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: https://www.seadatanet.org/Software/ODV ).
The same dataset is offered also as 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 in subcomponents (measure, substance, CAS number, matrix...).This transposed format is more adapted to worksheet applications users (e.g. LibreOffice Calc).
The original datasets can be searched and downloaded from EMODnet Chemistry Chemistry CDI Data and Discovery Access Service: https://emodnet-chemistry.maris.nl/search
Air-Sea Interaction: Heat and Momentum Fluxes based on data records from the R/V Cornide de Saavedra around Spanish waters (2011-2013).

This dataset presents air-sea interaction fluxes derived from meteorological and sea surface (thermosalinometer) data collected between 2011 and 2013 aboard the R/V Cornide de Saavedra, which is currently decommissioned and was operated by the Spanish Institute of Oceanography (IEO). The files contain sensible heat flux (SHFL) and latent heat flux (LHFL), both positive towards the atmosphere, as well as momentum fluxes (MOFL), representing wind stress directed towards the sea surface. These fluxes were computed using the bulk aerodynamic approximation (Large and Yeager, 2009), which combines atmospheric and oceanic measurements. Accordingly, the datasets also include meteorological and thermosalinometer data recorded along the vessel's trajectory, which are essential for these computations. The meteorological variables used in the calculations include atmospheric pressure at sea level (ATMS), air temperature (DRYT), relative humidity (RELH), wind speed (WSPD), and total incident radiation (RDIN), which encompasses both longwave and shortwave components. Although RDIN is not directly involved in the flux calculations, it is included as it complements the ocean's heat storage balance alongside the flux variables.The sea surface temperature is stored as TEMP. The monthly files are stored in Medar/Medatlas format (Lowry et al., 2024) with hourly resolution. They are named as follows: "29CS_YYYYMM.dat", where: "29CS" identifies the vessel (as per the C17 SeaDataNet vocabulary), "YYYY" represents the year, and "MM" indicates the month. The dataset has undergone quality control procedures in accordance with SeaDataNet guidelines (Schaap and Lowry, 2010). As per the Medar/Medatlas format, quality control flags are included in an additional column to supplement the described variables. The calculation of air-sea interaction fluxes depends on the simultaneous availability of meteorological and thermosalinometer data. When the required variables are unavailable, the flux columns are omitted. However, the remaining experimental variables are preserved, as they provide independent scientific value, contributing to the interpretation of flux signs, trends, proportionality, and behavior.
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.
ECoSS - DB of annotated sounds

ECoSS (European Catalogue of Sound Signature) - Database of annotated underwater sound recordings. The dataset focuses on real-time and in-situ sound signatures from marine environments, harmonised in terms of characteristics, metadata, and format. Recordings are validated and labelled by domain experts and serve a dual purpose: as a training set to refine the project's AI classification algorithm, and as a test set to validate its performance. Geographic coverage includes the Mediterranean Sea, Adriatic Sea, Atlantic Ocean, Baltic Sea, and North Sea.
Data are accessible and available for download via the EMODnet Physics ERDDAP server.

Last data update: 2024-07-02