AndreaBozzo/ceres-open-data-index huggingface dataset:
Zooplankton monitoring RADIALES - section off Santander (N Spain, Cantrabrian Sea); mid-shelf (station depth 110m)

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.

	Collection method: Juday-Bogorov plankton net type of 250 micrometer mesh-size; double oblique hauls between the surface and 5m above the bottom depth.

	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
Phytoplankton monitoring RADIALES - Section off Cudillero (N Spain, Cantabrian Sea); mid-shelf (station depth 130m); sampling depths 0, 5, 10,30, 40 and 70m

Monthly time series of phytoplankton species abundance at several depths of the water column in a fixed oceanographic station off Cudillero (NW Spain).
Phytoplankton abundance at several depth strata (0, 5, 10, 20, 30, 40 and 70 m) collected in a fixed oceanograpgic station in the Northwest Iberian shelf (station depth 70 m) off A Coruña.


	Monthly sampling at sea with regional Research Vessel. Sample acquisition using Niskin bottles with a rossette sampler equiped with CTD probe and other automatic sensors (e.g. in vivo fluorescence). Fixation and preservation of samples with Lugol. Analysis at the laboratory under the inverted microscope following Uthermol protocols. 


Scientific names according to World Register of Marine Science (WoRMS). Periodical intercalibration among expert phytoplankton taxonomists.
Zooplankton monitoring RADIALES - section off Santander (N Spain, Cantrabrian Sea); coastal (station depth 30m)

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.

	Collection method: Juday-Bogorov plankton net type of 250 micrometer mesh-size; double oblique hauls between the surface and 5m above the bottom depth.

	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 month and by taxonomic affiliation (to the species level whenever possible), for each sampling station (latitude / longitude).
Zooplankton monitoring RADIALES - section off Gijón (N Spain, Cantrabrian Sea); mid-shelf (station depth 130m)

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
Zooplankton monitoring RADIALES - section off A Coruña (NW Spain, Galicia); inner-shelf (station depth 77m)

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.

	Collection method: Juday-Bogorov plankton net type 200 micrometer mesh-size; double oblique hauls between the surface and 5m above the bottom depth.

	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
Zooplankton monitoring RADIALES - section off Vigo (NW Spain, Galicia); coastal (station depth 39m)

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.

	Collection 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
LifeWatch Cruise 21-980: Trip 4096

Cruise 21-980 is part of the regular LifeWatch campaigns covering the Belgian Economic Exclusive Zone within the scope of the Flemish contribution to LifeWatch.eu. The dataset covers the two day cruise held from 21 to 23 December 2021 and includes all navigation, meteorological and surface hydrography parameters.The data were not calibrated against independent measures but was quality controlled for the presence of outliers, anomalous and impossible values. Data are made available at a 1minute resolution, following the international conventions agreed for this type of data.
VLIZ Thornton buoy 2018 CTD data

The Thornton measuring buoy is part of the oceanographic component of ICOS Belgium (The Integrated Carbon Observation System), it carries sensors for both LifeWatch and ICOS. Management is organized as part of ICOS, an established and landmark European Research Infrastructure Consortium (ERIC) delivering high quality observations of greenhouse gases in all environmental domains. The buoy collects data at approximately 30 minutes frequency and is regularly maintained and calibrated by VLIZ. This dataset includes the 2018 CTD data. Sensors were calibrated pre and post deployment and the analysis of the data alongside the calibrations suggest that no data corrections were needed.
Seafloor litter - Spatial distribution of litter density normalized per km² 2011/2024 v2025

This visualization product displays the spatial distribution of seafloor litter density 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.

In cases where the wingspread and/or number of items were/was unknown, it was not possible to use the data because these fields are needed to calculate the density. Data collected before 2011 are concerned by this filter.

When the distance reported in the data was null, it was calculated from:
- the ground speed and the haul duration using the following formula: Distance (km) = Haul duration (h) * Ground speed (km/h);
- the trawl coordinates if the ground speed and the haul duration were not filled in.

The swept area was calculated from the wingspread (which depends on the fishing gear type) and the distance trawled:
Swept area (km²) = Distance (km) * Wingspread (km)

Densities were calculated on each trawl and year using the following computation:
Density (number of items per km²) = ∑Number of items / Swept area (km²)

Then a grid with 30km x 30km cells was used to calculate the weighted mean of densities in each cell from the formula :
Weighted mean (number of items per km²) = ∑ (Distance (km) * Density (number of items per km²)) / ∑ Distance (km)

Percentiles 50, 75, 95 & 99 were calculated taking into account data for all years.

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

This work is based on the work presented in the following scientific article:
O. Gerigny, M. Brun, M.C. Fabri, C. Tomasino, M. Le Moigne, A. Jadaud, F. Galgani, Seafloor litter from the continental shelf and canyons in French Mediterranean Water: Distribution, typologies and trends, Marine Pollution Bulletin, Volume 146, 2019, Pages 653-666, ISSN 0025-326X, https://doi.org/10.1016/j.marpolbul.2019.07.030.
C1-LTER-1998-2010 Size fractioned chlorophyll-a North Adriatic-Gulf of Trieste LTER time-series

A regular monthly sampling for size-fractionated chlorophyll-a analysis at the time series station C1 in the Gulf of Trieste, North Adriatic Sea began in 1998. The time series station C1 was initiated by the University of Trieste, and was later taken care by the Laboratory of Marine Biology of Trieste and, since October 2005, by the Department of Biological Oceanography, now Division of Oceanography (OCE) of OGS, Istituto Nazionale di Oceanografia e Geofisica Sperimentale of Trieste.
Since 2006 the time series station C1 has been formally included in the Italian network of long term ecological research sites (LTER-Italy) as part of the northern Adriatic LTER site. Scientific responsible from 1998 to 2005: Prof. Serena Fonda Umani, Univ. Trieste - Scientific responsible from 2006: Marina Lipizer - Principal data originators: Marina Lipizer, Cinzia De Vittor
Black Sea - Contaminants aggregated datasets 1974/2023 v2024

EMODnet Chemistry aims to provide access to marine chemistry datasets and derived data products concerning eutrophication, acidity and contaminants. The importance of the selected substances and other parameters relates to the Marine Strategy Framework Directive (MSFD). This aggregated dataset contains all unrestricted EMODnet Chemistry data on potential hazardous substances, despite the fact that some data might not be related to pollution (e.g. collected by deep corer). Temperature, salinity and additional parameters are included when available. It covers the Black Sea. Data were harmonised and validated by the ‘National Institute for Marine Research and Development "Grigore Antipa" in Romania.		
The dataset contains water, sediment and biota profiles. The temporal coverage is 1974–2021 for water measurements, 1990–2023 for sediment measurements and 2008–2019 for biota measurements.
Regional datasets concerning contaminants are automatically harvested and the resulting collections are harmonised and validated using ODV Software and following a common methodology for all sea regions ( https://doi.org/10.6092/8b52e8d7-dc92-4305-9337-7634a5cae3f4 ). Parameter names are based on P01 vocabulary, which relates to BODC Parameter Usage Vocabulary and is available at: https://vocab.nerc.ac.uk/search_nvs/P01/ .
The harmonised dataset can be downloaded as as an ODV spreadsheet, which is composed of a metadata header followed by tab separated values. This spreadsheet can be imported into ODV Software for visualisation (more information can be found at: https://www.seadatanet.org/Software/ODV ). In addition, the same dataset is offered also as a txt file in a long/vertical format, in which each P01 measurement is a record line. Additionally, there are a series of columns that split P01 terms into subcomponents (substance, CAS number, matrix...).This transposed format is more adapted to worksheet applications (e.g. LibreOffice Calc).
Happywhale - Fin Whale in North Atlantic Ocean

Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
Original provider: HappywhaleDataset credits: Happywhale and contributorsSightings and images were submitted to Happywhale by contributors. A portion of the Happywhale data were transferred to OBIS-SEAMAP upon the agreement between Happywhale and OBIS-SEAMAP. There may be duplicate records among Happywhale datasets and other OBIS-SEAMAP datasets. The precision of date/time vary per record. Some records have date accuracy up to year only. This dataset includes sightings and photos from the following 36 contributors in alphabetic order: Alexa Kershaw; Annette Bombosch; Anton Chaiko; bev dant; Bjarki; Caitlin Fitzmaurice; Cees Tineke; Christian Engelke; Claudia Wagner; Conor Ryan; Dale Frink; Dan Harville; De Wulf Maurina (maluga); Dominique Gallo; Franck Hollander; Harold Moses; Joy van der Beek; Kathie Rokita; Kerstin Langenberger; Maddy Montgomery; Madelon Stuut; Margot Sib; Marilia Olio; Mark OBrien; Max Block; Mitch Doucet; Norbert; Per Nikolaj Bukh; Raimondeau; Rory Jackson West Cork Ocean Tours; Sara Franson; Sarah Kather; Sea Fever Productions; Ted Cheeseman; Theo Vickers; Tobias Brehm
Fytoplankton in de Oosterschelde voor, tijdens en na de stuwdam (1982-1990)

Tijdens 8 jaar werd fytoplankton verzameld op twee stations in de Oosterschelde (kom en monding) door Kees Bakker.
De monitoring gebeurde wekelijks in de zomer en minder frequent in de winter.  Zo kwam men tot een 35-tal monsters per jaar van ongeveer 120 soorten.  Ook werden een aantal omgevingsvariabelen gemeten zoals temperatuur, wind, ...
Phytoplankton data from the Sukhumi region, Black Sea, collected in November 1948

Phytoplankton data collected by the IBSS staff at diurnal stations in the Sukhumi region, Black Sea, in November 1948. This dataset contains abundance data (individuals per liter) for phytoplankton taxa. No additional metadata is available.
This dataset was rescued through data archaeology activities in the framework of the EMODnet Biology data grants.
Vertical distribution of meiofauna in the North Sea and the Westerschelde estuary in 1993 and 1994

Dataset on meiobenthos densities and biomass of nematode genera for 2 stations (North Sea and Westerschelde) sampled on 22June 1993 and 31March 1994. The data were digitized by VLIZ from the original report: Tuhumury, S.F. (1995). Vertical distribution of meiofauna related to biogeochemistry: a case study from one station in the North Sea and one station in the Westerschelde estuary. MSc Thesis. RUG: Gent. 102 pp.
A case study, from a station along the Belgian coast (790) and a station in the Westerschelde (WO22), in which the vertical destribution of meiobenthos has been studied. Emphasis has been made on the specific distribution of the nematodes genera. Samples were taken in a period with high organic input and a period with low organic input.
Phytoplankton data collected during cruise 43 (February - April 1989) of R/V Dmitriy Mendeleev

Dataset includes phytoplankton data collected during cruise 43 (February - April 1989) of R/V Dmitriy Mendeleev.
Phytoplankton samples were processed by L. Senichkina (IBSS). Detailed methodology described in: Pelagic Ecosystems of the Southern Ocean (ed. N. M. Voronina), Nauka, Moscow, 1993. Dataset contains only samples taken from the surface. 

At IBSS, the data were digitized from paper processing books, quality-controlled and transformed to comply with the Darwin Core/OBIS Schema. Funds for data operations were kindly provided by the Census of Marine Life International Cosmos Prize Fund, through a grant to Rutgers University.
O_VLIELAND - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding and wintering on Vlieland (the Netherlands)

O_VLIELAND - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding and wintering on Vlieland (the Netherlands) is a bird tracking dataset published by the Netherlands Institute of Ecology (NIOO-KNAW), Sovon, Radboud University, the University of Amsterdam and the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected during CHIRP (Cumulative Human Impact on biRd Populations) for the study O_VLIELAND using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study has been operational from 2016 to 2021. In total 103 individuals of Eurasian oystercatchers (Haematopus ostralegus) have been tagged either as a breeding bird or while overwintering on the Wadden island Vlieland (the Netherlands), mainly to study how they respond to disturbances from aircraft.
Data are uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see https://github.com/inbo/bird-tracking). No new data are expected.

These data were collected by the Netherlands Institute of Ecology (NIOO-KNAW), in collaboration with Sovon, Radboud University and the University of Amsterdam (UvA) for the CHIRP (Cumulative Human Impact on biRd Populations) project. Funding was provided by the Applied and Engineering Sciences domain of the Netherlands Organisation for Scientific Research (NWO-TTW 14638) and co-funding via NWO-TTW by Royal Netherlands Air Force, Birdlife Netherlands, NAM gas exploration and Deltares. The dataset was published with funding from Stichting NLBIF - Netherlands Biodiversity Information Facility.

The DOI in the citation represents all versions. To find the DOI of the different versions, go to the Zenodo record.
Zooplankton and Ichthyoplankton of the North Western Portuguese Coast in May 2002

The objective of this data collection was to analise the daily vertical migration of decapod larvae in the water column in the northwestern portuguese coast and to assess its correlations with environmental parameteres. In order to do this plankton samples were collected with Bongo nets, LHPR multisampler and Neuston net in a area between the north western Portuguese coast and the 10 °W and between the 40° and 42°N and, aditionally at a fixed location during a 67 hours period, every two hours. In the fixed sampling point a plankton trap was also deployed. The data set presented corresponds to the zooplankton analysed in all the samples taken. This work is part of the ProRecruit project, which aimed to describe the spatial and temporal variability of the recruitment of coastal invertebrate species that show a planktonic larvar phase in their lifecylce, and understand the impact of environmental variables which may control its supply to the coastal systems.
From the analysis of the results, it has been concluded that decapode larvae perform vertical daily migrations from the layers near the bottom to the neuston layer, being present in the superfical layers from 10PM to 02AM and that this behaviour enhances their retention in the area together with the upwelling season. On the other hand, the cypris larval phase of Cirripedia, was shown to perform vertical migrations and that have occurred in more abundance between 20m and 35m of depth.
Micro litter - Transparency of litter per net - Research and monitoring protocols 2015/2019 v2023

This visualization product displays the transparency of litter in percent per net per year from research and monitoring protocols.
EMODnet Chemistry included the collection of marine litter in its 3rd phase. Before 2021, there was no coordinated effort at the regional or European scale for micro-litter. Given this situation, EMODnet Chemistry proposed to adopt the data gathering and data management approach as generally applied for marine data, i.e., populating metadata and data in the CDI Data Discovery and Access service using dedicated SeaDataNet data transport formats. EMODnet Chemistry is currently the official EU collector of micro-litter data from Marine Strategy Framework Directive (MSFD) National Monitoring activities (descriptor 10).
A series of specific standard vocabularies or standard terms related to micro-litter have been added to SeaDataNet NVS (NERC Vocabulary Server) Common Vocabularies to describe the micro-litter.
European micro-litter data are collected by the National Oceanographic Data Centres (NODCs). Micro-litter map products are generated from NODCs data after a test of the aggregated collection including data and data format checks and data harmonization.

A filter is applied to represent only micro-litter sampled according to research and monitoring protocols as MSFD monitoring.

To calculate percentages for each transparency, formula applied is:
Transparency (%) = (∑number of particles of each transparency)*100 / (∑number of particles of all transparency)
When the number of microlitters was not filled or zero, the percentage could not be calculated.

Standard vocabularies for microliter transparency are taken from Seadatanet's H06 library (https://vocab.seadatanet.org/v_bodc_vocab_v2/search.asp?lib=H06)

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 National Oceanographic Data Centre (NODC) for this area.