AndreaBozzo/ceres-open-data-index huggingface dataset:
Mesozooplankton in the South Adriatic Sea (MEDGES Experiment) in March 2013

Mesozooplankton collected in the South Adriatic Sea during a cruise in March 2013, as part of MEDGES experiment in the framework of the Italian project "RITMARE - La Ricerca ITaliana per il MARE"
Data from one cruise in the South Adriatic during March 2013, described at http://seadata.bsh.de/cgi-csr/XML/xmlDownload_V2.pl?edmo=120-identifier=IO48201313017

Samples taken with a Vertical net (WP2)  were fixed with Ca(HCO3)2-buffered formaldehyde (2-4% final concentration) for determination of species abundance and composition. Individuals were sorted and counted under binocular microscope.
Cetacean occurrence off the west central Portugal coast from boat-based surveys 2007-2008

This dataset contains only the boat-based sightings of cetaceans off Mainland Portugal.
Throughout the years some researchers have dedicated their efforts to the study of cetaceans' occurrence off Mainland Portugal. However, it is still missing a systemic scientific methodology for studying the presence of coastal dolphins and whales. This work intends to be a first approach on the occurrence of cetaceans off the west central coast of Portugal. Our objective was to contribute towards the compilation of relevant “forgotten science” such as whaling data and observations of opportunity, together with two years of boat-based surveys.

We found 1,313 occurrences of great whales captured off Setúbal and Sesimbra (1925-1927 and 1944-1951) and a total of 45 cetaceans in non-directed captures between 1976 and 1978. We accounted 45 dolphins and whales in sea-sightings as a result of observations of opportunity, from 2002 to 2008. In 2007 and 2008 a total of 63 boat-based visual surveys were conducted from three different geographic locations, Nazaré, Peniche and Sesimbra, and as a result 45 independent sightings of cetaceans were recorded. The most frequent small dolphin off the Portuguese mainland coast is the common dolphin (Delphinus delphis) as shown by the three distinct approaches used in this study. Regarding whales the most common species is the fin whale (Balaenoptera physalus) as shown by whaling records. Overall, the small delphinid community along the central coast of Portugal is similar to the one that can be found along the Iberia shore.


This work intends to be a preliminary approach on the occurrence of cetaceans off the west central coast of Portugal. Our objective was to contribute towards the compilation of relevant "forgotten science", namely 20th century whaling and dolphin capture data and opportunistic observers’ reports on whales and dolphins, in order to reduce the lack of knowledge in central mainland Portugal. This information together with boat-based surveys for obtaining new biological data is a starting point for a new methodological approach.

Records did not have time recorded and were filled with 00:00:00. Records that did not have group size recorded were filled with 1. When an estimated range of animals was sighted, the median value (rounded down) was used as the observed count. Time and group size details are recorded in the [Notes] column.

Three opportunistic sightings of Delphinus delphis recorded for August 2007 were excluded because the day information was not available. One erroneous record of Delphinus delphis sightings on land was also excluded.
OceanCare cetacean sightings 2001-2014

Monitoring data of cetacean population in the Mediterranean Sea between 2001 and 2010.
This dataset comprises the work carried out by OceanCare in the Provencal waters in the Mediterranean Sea between 2001 and 2010. The project is organized as a long-term monitoring project in order to survey cetacean population in these waters which belong to the Pelagos Marine Mammal Sanctuary. Cetacean spatial and temporal distribution is studied using boat-based surveys. A total of 326 sightings of identified cetacean species were recorded. Observed species and respective relative sighting frequencies were as follows: Striped dolphin (Stenella coeruleoalba; 72.4%), sperm whale (Physeter macrocephalus; 11.3%), fin whale (Balaenoptera physalus; 4.6%), bottlenose dolphin (Tursiops truncatus; 3.4%), long finned pilot whale (Globicephala melas; 3.4%), common dolphin (Delphinus delphis; 2.8%), Risso’s dolphin (Grampus griseus; 2.1%). Currently, analysis of the long-term dataset as well as respective publication is in progress.

OceanCare is a Swiss non-profit and non-governmental organization founded in 1989. The organization is dedicated to the protection of marine mammals and the conservation of the marine environment. The association works at a national and international level in the areas of whaling, industrial fishing, environmental changes, seal hunting, dolphin captivity, and cetacean research. 

OceanCare is a partner of the UNEP/CMS Agreement on the Conservation of Cetaceans in the Black Sea, Mediterranean Sea and Contiguous Atlantic Area (ACCOBAMS) and a member of the Cetacean Alliance, a not-for-profit network of nine non-governmental organizations committed to preserving marine biodiversity and reducing human impact on cetacean populations. With this cetacean monitoring project, OceanCare provides long-term data on cetacean abundance in parts of the Pelagos Marine Mammal Sanctuary in the Mediterranean Sea.
Black Sea - Eutrophication and Acidity aggregated datasets 1935/2024 v2026

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 ).
Black Sea - Contaminants aggregated datasets 1974/2024 v2026

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 1974–2023 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).
Mediterranean Sea - Eutrophication and Acidity aggregated datasets 1911/2025 v2026

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 Mediterranean Sea. Data were aggregated and quality controlled by the 'Hellenic Centre for Marine Research, Hellenic National Oceanographic Data Centre (HCMR/HNODC)' in Greece. 
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 ).
Mediterranean Sea - Contaminants aggregated datasets 1971/2023 v2026

EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification and contaminants. The chemicals chosen 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 Mediterranean Sea. Data were harmonised and validated by the ‘Hellenic Centre for Marine Research, Hellenic National Oceanographic Data Centre (HCMR/HNODC)’ in Greece.
The dataset contains water, sediment and biota profiles and timeseries. The temporal coverage is 1974–2022 for water measurements, 1971–2023 for sediment measurements and 1979-2023 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).
2013 EUNIS habitat map of of Bassurelle Sandbank SCI

The survey area was split into two, each was surveyed using acoustic and ground-truthing methods. Acoustic multibeam and sidescan sonar data were acquired along parallel corridors within each sampling area. Near 100% sidescan data coverage was obtained; multibeam data coverage obtained was significantly less.  The location of the majority of ground-truthing stations was based on a 1 km triangular grid across the entire survey area; additional sampling stations were targeted opportunistically between the gridded stations.

The habitat map was produced using EUNIS classes obtained from PSA data and interpretations from still images, to inform the semi-automated object-based imagery analysis (OBIA). The OBIA divides the bathymetry and backscatter data into meaningful objects based on their spectral and spatial characteristics, which can then be classified using the ground-truthed data.
Greater North Sea and Celtic Seas - Eutrophication and Acidity aggregated datasets 1899/2025 v2026

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 Greater North Sea and Celtic Seas. Data were aggregated and quality controlled by 'Aarhus University, Department of Bioscience, Marine Ecology Roskilde' in Denmark.
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.
Phytoplankton collected in the Po River Delta - North Adriatic Sea (RITMARE Project) 2013-2014

Phytoplankton collected in the Po Delta - North Adriatic Sea in the framework of the Italian Flagship Project RITMARE. 2013-2014,
Samping with NIskin bottles at several discrete depths.
Samples were fixed with Ca(HCO3) 2-buffered formaldehyde (0.8% final concentration) and cell abundance and species composition of phytoplankton were estimated according to Utermöhl’s method (1958), using an inverted microscope equipped with phase contrast, at 320-400x final magnifications.
Miesmuschelb├ñnke im Nieders├ñchsischen Wattenmeer 2002 (UIG), Blue mussel beds in the Wadden Sea of Lower Saxony 2002

Miesmuschelb├ñnke im Nieders├ñchsischen Wattenmeer 2002. 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 2002. 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)
Mapping of marine biocenoses off the National Underwater Ecological Reserve between Faro and Ponta da Piedade - CCMAR-CCDRALG

The Algarve coast presents a significant portion of territory that is part of the designated National Nature Reserve, in its underwater slope (0 to 30m depth - RENSUB), especially when compared with the equivalent on land. The current digital map presents the EUNIS habitat of the central Algarve RENSUB coast. The covered area is between Ponta Piedade and Barra do Anc├úo. The sediment classification was obtained through the interpretation of data from Side Scan Sonar (remote-sensing image), while for the habitat mapping the biological sampling was carried out with beam trawl and underwater visual census.
Marine habitat mapping within the Greek Natura site GR1430003

Area (site) with sandy shores of high hydrodynamics and wetland system in the inland. Mainly marine-wetland site. Towards the open sea there are underwater meadows of Posidonia oceanica (1120), combined with meadows of Cymodocea nodosa. Among the upper limit of 1120 and the coastline there are sandy areas (usually without vegetation), that could be classified as habitat type 1110 (sandbanks). At the eastern and western boundaries of the site there are small reefs with populations of Cystoseira spp. (Habitat type 1170). There are wetlands with typical examples of habitat type 1150 (coastal lagoons) in the inland.
Algaebase

AlgaeBase is a database of information on algae that includes terrestrial, marine and freshwater organisms. At present, the data for the marine algae, particularly seaweeds, are the most complete.
Organisms included in AlgaeBase are marine, freshwater and terrestrial algae, although currently the data for marine organisms are the most complete. Cyanobacteria (blue-green algae), Rhodophyta (red algae), Phaeophyceae (brown algae), Chlorophyta (green algae), Discomitochondria (=Euglenophyta), Streptophyta (=Charophyta), Bacillariophyceae (diatoms), Dinoflagellata (dinoflagellates) and Cryptophyta are all treated, together with a number of smaller groups. For convenience, we have included sea-grasses, although these are flowering plants and not algae. The taxon Fungi appears in the "Taxonomy Browser" because of Mastodia, a genus of lichenized fungi first based on an Antarctic alga.We are endeavouring to add as many names as possible to AlgaeBase, although in a number of instances no data are provided other than the names and the nomenclatural authorities. In other instances, the synonyms and current names and synonyms have not been connected up (and are labelled as "Provisional"). We think it important that searchers for names find them, and links are provided to GenBank, Index Nominum Algarum, and other sources that may provide additional information.Data on this site are based mainly on published information. This information should always be verified by you, the user, prior to use, as is the normal practice. Distributional data are recorded on the basis of the name used in the publication in question, and some of these names may be misapplied. We are annotating such records as we become aware of them, but these notes are not available just now.AlgaeBase is often a compromise of taxonomic opinions that may or may not reflect your particular conclusions. It is also a work in progress, and is thus incomplete. Please note that AlgaeBase is purely meant as an aid to taxonomic studies and not a definitive source in its own right. You should always check the information included prior to use.During 2002-2011 AlgaeBase was funded by the Higher Education Authority and the then Department of Education - Science, Ireland, under the Priority Research for Third-level Insitutions (PRTLI) Programme Cycles 3 and 4 (itself funded by the EU Structural Funds Programme 2003-2013 and European Regional Development Fund) via the Ryan Institute, and by the European Union as the SeaweedAfrica project (2007-2005, INCO-DEV Contract ICA4-CT2001-10030). Acadian Seaplants Limited, Canada kindly subvents AlgaeBase annually.Many organisations and people have funded, supported and contributed to AlgaeBase since its small beginnings on 20 March 1996. A full list is available on www.algaebase.org/contributors/.
Estuaries (1130)

The expert group used following data sets as a help in outlining the estuaries: average stream (places where continuous measurements), results from VELMALA -stream modeling (places without measuring information), depth data, and salinity model on the sea areas. Orthoimagery was used for observing the extent of the sediment plumes and typical vegetation in estuaries, reed belts. Rivers flowing to the dammed artificial lakes were not included into the Estuary data set.
Miesmuschelb├ñnke im Nieders├ñchsischen Wattenmeer 2016 (UIG), Blue mussel beds in the Wadden Sea of Lower Saxony 2016

Miesmuschelb├ñnke im Nieders├ñchsischen Wattenmeer 2016. 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 2016. 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)
Coastal Wetlands in European waters (2025)

This data product shows the current known extent and distribution of coastal wetland type (Ramsar classification) in European waters and jurisdictional waters of EU Member States and the UK in the Caribbean. This product was produced by combining coastal wetland datasets from EMODnet Seabed Habitats with Copernicus CORINE Land Cover 2018 data. This data product was first created in May 2023 and has been updated most recently in September 2025.