AndreaBozzo/ceres-open-data-index huggingface dataset:
366_HRDTM_7m_NorthAtlanticOcean_WestCork

This composite Digital Terrain Model (cDTM) is a high resolution bathymetry dataset highlighting measurement of depth of water in the ocean. This cDTM covers the North Atlantic Ocean off the coasts of West County Cork in Ireland. The EMODnet high resolution DTM covers bathymetry surveys completed between 2002 and 2019. Bathymetric data collected on board research vessels using multi-beam and single-beam echosounder instrumentation. Raw bathymetry processed within CARIS software to produce bathymetry products subsequently converted to NetCDF cDTM for EMODnet. Acquisition, processing and product delivery follows IHO standard s44 Edition 5. cDTM is composed of five (5) images “merged simply” using GLOBE software. INFOMAR (Integrated Mapping for the Sustainable Development of Ireland’s Marine Resource) is a twenty year programme to map the physical, chemical and biological features of Ireland’s seabed established in 2006. INFOMAR is funded by the Department of Communications, Climate Action and Environment (DCCAE), and delivered by joint management partners Geological Survey Ireland and the Marine Institute. The programme is the successor to the Irish National Seabed Survey (INSS) which ran between 1999 and 2005. INFOMAR concentrates on creating integrated mapping products related to the seabed.
Kenyan reef corals sampled in November 1990

This dataset contains a taxonomic list of corals found at the Kenyan reefs (i.e. in Nyali, Bamburi South - North, Vipingo, Malindi) during a sampling campaign in November 1990. Corals were collected by snorkeling and SCUBA diving. The data were digitized by VLIZ from the original report: Melles, A. (1991). Taxonomic and sclerochronological studies of Kenyan reef corals. MSc Thesis. Vrije Universiteit Brussel: Brussel. 83 pp.
Epiphytic macroalgae vegetation on pneumatophores in the mangrove of Gazi Bay sampled between August and September 1989

This dataset contains a list of epiphytic macroalgae species and their percentage of coverage on the penumatophores of the mangroves in Gazi Bay, Kenya, sampled during August-September 1989. Also the particle size distribution data from the different transects is noted. The data were digitized by VLIZ from the original report: De Schryver, T. (1990). Epifytische wieren (Bostrychietum) in de mangrove van Gazi Bay (Kenia)= Epiphytic algae (Bostrychietum) in the mangroves of Gazi Bay (Kenya). MSc Thesis. Rijksuniversiteit Gent. Faculteit Wetenschappen: Gent. 99, appendix pp.
Seven transects at right angles to the coastline and at increasing distance from the open sea were studied: two short transects on the left bank of the tide channel, two longer transects in the mixed mangrove vegetation of the right bank, and three transects near the inlet of the bay, at Gazi Beach. In total, 367 pneumatophores were collected.
Mediterranean Sea - Beach litter aggregated datasets 2004/2024 v2024

EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification, contaminants and litter. The chosen parameters are relevant for  the Marine Strategy Framework Directive (MSFD), in particular for descriptors 5, 8, 9 and 10. The dataset contains standardized, harmonized and validated data collections from beach litter (monitoring and other sources). 
Datasets concerning beach and seafloor litter data are loaded in a central database after a semi-automated validation phase. Once loaded, a data assessment is performed in order to check data consistency and potential errors are corrected thanks to a feedback loop with data originators.
For beach litter, the harmonized datasets contain all unrestricted EMODnet Chemistry data on beach litter, including monitoring data, data from cleaning surveys and data from research. A relevant part of the monitoring data has been considered for assessment purposes by the European institutions and therefore is tagged as MSFD_monitoring. EMODnet beach litter data and databases are hosted and maintained by 'Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Division of Oceanography (OGS/NODC)' from Italy.
Data are formatted following Guidelines and forms for gathering marine litter data, which can be found at: https://doi.org/10.6092/15c0d34c-a01a-4091-91ac-7c4f561ab508
The updated vocabularies of admitted values are available at:
https://nodc.ogs.it/marinelitter/vocab
The harmonized datasets can be downloaded as EMODnet Beach litter data format  Version 7.0, which is a spreadsheet file composed of 4 sheets: beach metadata, survey metadata, animals and litter. Local_CDI field in the survey metadata sheet allows to retrieve the original data.
Miesmuschelb├ñnke im Nieders├ñchsischen Wattenmeer 2011(UIG), Blue mussel beds in the Wadden Sea of Lower Saxony 2011

Miesmuschelb├ñnke im Nieders├ñchsischen Wattenmeer 2011. 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 2011. 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)
Fish larvae from May to June '95 of the "Capricórnio" campaign in the Republic of Guinea Bissau

This report presents the results of the fifth research cruise in the waters off Guiné-Bissau coast from 7 May to 5 July 1995, on board of the Portuguese RV “Capricórnio”. 33 plankton surveys using a FAO net were carried on.
The plankton samples were collected in oblique trawls up to a maximum depth of 200 m using the FAO net. The Smith and Richardson (1977) expressions were used to calculate the volume.
A network of 33 oceanographic stations, spread around 10 radials, in the territorial waters of Guinea-Bissau was used for the collection of biological parameters from 29 May to 16 June 1995.
The trawls were carried out at a steady speed of 3 knots and the samples stored in 4 percent formalin, previously neutralised with sodium bicarbonate.
Mediterranean Sea - Contaminants aggregated datasets 1974/2017 v2018

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 (24 parameters), and covers the Mediterranean Sea with 4517 CDI records divided per matrices: 520 biota profiles, 560 water profiles, 3437 sediment (26 Vertical profiles and 3411 Time series). In the water dataset, the vertical profiles temporal range is from 1974-09-12 to 2015-09-14. In sediment dataset, vertical profiles temporal range is from 2010-08-02 to 2014-09-28 and time series temporal range is from 1981-06-27 to 2018-08-02. In biota time series temporal range is from 1979-03-29 to 2017-03-15. Data were aggregated and quality controlled by ‘Hellenic Centre for Marine Research, Hellenic National Oceanographic Data Centre (HCMR/HNODC)’ from Greece.
Regional datasets concerning contaminants are automatically harvested. Parameter names in these datasets are based on P01, BODC Parameter Usage Vocabulary, which is available at: http://seadatanet.maris2.nl/bandit/browse_step.php . 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.
The harmonised dataset can 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 XLSX 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 24 parameter names in this metadata record are based on P02, SeaDataNet Parameter Discovery Vocabulary, which is available at: http://seadatanet.maris2.nl/v_bodc_vocab_v2/vocab_relations.asp?lib=P02 .
Detailed documentation will be published soon.
The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: https://emodnet-chemistry.maris.nl/search
Greater North Sea and Celtic Seas - Contaminants aggregated datasets 1973/2021 v2023

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 Greater North Sea and Celtic Seas. Data were harmonised and validated by the 'Aarhus University, Department of Bioscience, Marine Ecology Roskilde' in Denmark.
The dataset contains water (profiles), sediment (profiles) and biota (profiles and timeseries). The temporal coverage is 1970–2021 for water measurements, 1973–2021 for sediment measurements and 1979–2021 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).
Colección de referencia de otolitos, Instituto de Ciencias del Mar-CSIC

This collection is a catalogue of otoliths stored in a database.
The database is regularly updated and at present (12/09/2008) it contains a total of 2315 high resolution images corresponding to 687 species and 155 families from the Western Mediterranean Sea, Weddell Sea and Antartic Peninsula, Southwestern Atlantic (Uruguay and Argentina, Northwestern Atlantic and Gulf of Mexico), Northeastern Atlantic (From Senegal to North Sea), Southeastern Atlantic (Namibia), Indic (Tanzania) and Pacific (New Caledonia, Alaska, Canada, Perú, and Chile). The AFORO website offers an open online catalogue of otolith images and its associated shape analysis through pattern recognition techniques applying Fourier transform (FT), curvature space scale (CSS) and wavelet analysis (WT). This site also includes an Automatic Taxon Identification which allows to search and identify directly using query images of otholits.
O_AMELAND - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding on Ameland (the Netherlands)

O_AMELAND - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding on Ameland (the Netherlands) is a bird tracking dataset published by Sovon, the University of Amsterdam and the Research Institute for Nature and Forest (INBO). It contains animal tracking data for the study O_AMELAND using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study has been operational from 2010 to 2013. In total 15 individuals of Eurasian oystercatchers (Haematopus ostralegus) have been tagged as a breeding bird on the Wadden island Ameland (the Netherlands), mainly to study their space use during the breeding season.
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.

Data in this package are exported from Movebank study O_AMELAND - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding on Ameland (the Netherlands) (Movebank Study ID 1605803389), which can be viewed at https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study1605803389. Fields in the data follow the Movebank Attribute Dictionary (http://vocab.nerc.ac.uk/collection/MVB) and are described in datapackage.json.

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.

Data in this package are exported from Movebank study O_AMELAND - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding on Ameland (the Netherlands) (Movebank Study ID 1605803389), which can be viewed at https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study1605803389. Fields in the data follow the Movebank Attribute Dictionary (http://vocab.nerc.ac.uk/collection/MVB) and are described in datapackage.json.

The DOI in the citation represents all versions. To find the DOI of the different versions, go to the Zenodo record.
366_HRDTM_29M_IrishSea_Ireland_East

This composite Digital Terrain Model (cDTM) is a high resolution bathymetry dataset highlighting measurement of depth of water in the ocean. This cDTM covers the Irish Sea off the coasts of counties Wicklow and Louth in Ireland. The EMODnet high resolution DTM covers bathymetry surveys completed between 2002 and 2016. Bathymetric data collected on board research vessels using multi-beam and single-beam echosounder instrumentation. Raw bathymetry processed within CARIS software to produce bathymetry products subsequently converted to NetCDF cDTM for EMODnet. Acquisition, processing and product delivery follows IHO standard s44 Edition 5. cDTM is composed of seven (7) images “merged simply” using GLOBE software. INFOMAR (Integrated Mapping for the Sustainable Development of Ireland’s Marine Resource) is a twenty year programme to map the physical, chemical and biological features of Ireland’s seabed established in 2006. INFOMAR is funded by the Department of Communications, Climate Action and Environment (DCCAE), and delivered by joint management partners Geological Survey Ireland and the Marine Institute. The programme is the successor to the Irish National Seabed Survey (INSS) which ran between 1999 and 2005. INFOMAR concentrates on creating integrated mapping products related to the seabed.
EMODnet Human Activities, Shellfish protected areas under the WFD

The dataset on the shellfish protected areas under the Water Framework Directive (WFD) was created in 2023 by AND-International for the European Marine Observation and Data Network (EMODnet). The Directive (Article 6, paragraphs 1 and 2) requires Member States to designate areas which require specific protection of their surface water and groundwater, or for the conservation of habitats and species directly depending on water. According to Annex IV (ii) of the WFD, these areas should include areas designated for the protection of economically significant aquatic species (shellfish in this case). This dataset compiles the designated areas as provided by national sources (The Department of Housing, Planning, Community and Local Government of Ireland and The Ministry for Ecological Transition and Demography in Spain) and it is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). Each polygon has the following attributes: area ID (in EMODnet), country, area name, designation date, ID from the source.
Black Sea Mnemiopsis leidyi and Beroe ovata database

Ctenophore data of different research groups in the Black Sea.
The invasive ctenophore Mnemiopsis leidyi (Agassiz, 1865) was first found in the Black Sea in early 1980-s. This species created the tremendous ecosystem damage and big economic losses in the region in the late 1980-s, 1990-s. It was recognized as one of the main ecological problems for the Black Sea ecosystem. 

A number of the Black Sea researchers studied the Mnemiopsis and analyzed its distribution and temporal and space variability within the sea. However, these analyses are based on data collected by the researchers themselves and in some cases on the basis of the several datasets collected by a group of researches. Unfortunately, none basin wide long term database of the Black Sea Mnemiopsis was created in contrast to the physical and chemical variables for which several comprehensive databases were created and made available for scientists. They are, for example, MEDAR/MEDATLAS project database (http://www.ifremer.fr/medar/) available on the CD-ROM, and the NATO SfP Black Sea ODBMS project database supported by the IMS-METU and available at http://sfp1.ims.metu.edu.tr/ODBMSDB/. It is not a case for biological data. For Mnemiopsis, for example, only several datasets can be found within the NATO SfP Black Sea ODBMS project database that do not give a possibility to analyze in details the special distribution and long term variability of this important species. 

To fill this gap the MLDB was created by IBSS (Ukraine) with help of IMS METU (Turkey) in the frameworks of the BS SCENE EC project and supported further by the Black Sea Commission. The MLDB gives a possibility to analyze in details the special distribution and the time variability of the Mnemiopsis  at different time scales from time of its invasion into the Black Sea till nowadays. 
The list of the MLDB data providers can be accessed any time from the database itself:
Mediterranean Sea - Contaminants aggregated datasets 1971/2021 v2022

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 1974–2020 for water measurements, 1971–2020 for sediment measurements and 1979-2021 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).
The GEBCO_2019 Grid - a continuous terrain model of the global oceans and land.

The GEBCO_2019 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. 

The grid uses as a base Version 1 of the SRTM15_plus data set (Sandwell et al). This data set is a fusion of land topography with measured and estimated seafloor topography. It is largely based on version 11 of SRTM30_plus (5). Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project, and from a number of international and national data repositories and regional mapping initiatives. The GEBCO_2019 Grid represents all data within the 2019 compilation. The compilation of the GEBCO_2019 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. The majority of the compilation was done using the remove-restore procedure (Smith and Sandwell, 1997; Becker, Sandwell and Smith, 2009 and Hell and Jakobsson, 2011). This is a two stage process of computing the difference between the new data and the base grid and then gridding the difference and adding the difference back to the existing base grid. The aim is to achieve a smooth transition between the new and base data sets with the minimum of perturbation of the existing base data set. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2019 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute, Germany; South and West Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research, New Zealand; Atlantic and Indian Oceans - hosted at the Lamont Doherty Earth Observatory, Columbia University, USA; Arctic and North Pacific Oceans - hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA).
SPEEK database: Meiobenthos of subtidal sandbanks on the Belgian Continental Shelf

Meiobenthos of subtidal sandbanks on the Belgian Continental Shelf (counts, nematode species information, nematode biomass information)
This database contains meiobenthic data collected on several subtidal sandbanks on the Belgian Continental Shelf during several sampling campaings from 1978 until 2004. Taxon densities, nematode species densities and nematode biomass information per station is linked with the available sedimentological variables, if available.