AndreaBozzo/ceres-open-data-index huggingface dataset:
PANGAEA - Data from international marine global change study (IMAGES)

Database from paleo-climate studies from the global ocean.
IMAGES is an international collaborative science programme aimed at the collection and
interpretation of high quality paleo-climate data from the global ocean. It aims to understand the role of marine processes in the Earth´s climate system during the past million years at time-scales relevant to human life and societal development.

Data, which are produced through the work are archived at a world data center to ensure easy access from other scientists and the public. The goals of IMAGES demand that collected data are archived and data exchange is made possible. Ultimately, all data, aquired from IMAGES material should be freely accessible for the entire scientific community.
Kenya Marine and Fisheries Research Institute - Marine Species

Kenya Marine and Fisheries Research Institute (KMFRI). Marine dataset compiled from publications,
Kenya Marine and Fisheries Research Institute (KMFRI) is a State Corporation in the Ministry of Fisheries Development of the Government of Kenya. It is mandated to conduct aquatic research covering all the Kenyan waters and the corresponding riparian areas including the Kenyan's EEZ in the Indian Ocean waters. This collection was compiled from publications, and it currently consists of 3080 records of 533 families.
Happywhale - Sei 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: Happywhale Dataset 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 9 contributors in alphabetic order: Elizabeth Robinson; Marilia Olio; Mitch Doucet; Pamela Le Noury; Roxane Rambert; Sabine+Ulf; Sarah Kather; Sea Fever Productions; Susan Parks
Meiofauna monitoring in the Trieste harbour, northern Adriatic Sea (Port Authority), 2013 and 2015

Meiofauna monitoring in the Trieste harbour, Northern Adriatic Sea (Port Authority), 2013 and 2015. In June 2013 and March 2015, sampling was carried out in the harbour of the Trieste port by a KC Haps bottom corer with polycarbonate sample tubes (12.7 cm I.D. with a sample area of 127 cm2). In laboratory, one sediment core was subsampled by means of 3 cut-off plastic syringes (2.7 cm I.D., surface area of 5.72 cm2, 0-10 cm top sediment) in order to obtain three pseudoreplicates for the meiofauna. Meiofaunal organisms (38–1000 m) were extracted from sediment subsamples by sieving each pseudoreplicate and by centrifuging the material retained by a 38 μm mesh net with Ludox HS-40 (density of 1.15–1.18 g cm−3). All meiobenthic organisms were counted and taxonomically classified to the main groups under a stereomicroscope (Olympus SZX12; final magnification of × 32-40)
Project Data
Monitoring in the Port of Trieste

Title	Port Authority - Autorità Portuale
Identifier	1533
Study Area Description	Trieste harbour, Northern Adriatic Sea


Sampling Methods
Sampling was carried out by bottom corer.

Study Extent	Two monitoring campaigns were performed (June 2013 and March 2015).
Quality Control	Replicates were sampled and analysed to take into account biological variability.
Method step description:

Sampling was carried out in the harbour of the Trieste port by a KC Haps bottom corer with polycarbonate sample tubes (12.7 cm I.D. with a sample area of 127 cm2). In laboratory, one sediment core was subsampled by means of 3 cut-off plastic syringes (2.7 cm I.D., surface area of 5.72 cm2, 0-10 cm top sediment) in order to obtain three pseudoreplicates for the meiofauna. All data are converted to by multiplying them by a conversion factor (1.66). Meiofaunal organisms (38–1000 m) were extracted from sediment subsamples by sieving each pseudoreplicate and by centrifuging the material retained by a 38 μm mesh net with Ludox HS-40 (density of 1.15–1.18 g cm−3). All meiobenthic organisms were counted and taxonomically classified to the main groups under a stereomicroscope (Olympus SZX12; final magnification of × 32-40).
EMODnet Human Activities, Urban Waste Water Treatment Directive, Discharge points or collecting systems

The dataset on coastal discharge points from Urban Waste Water Treatment Plant (UWWTP) was created in 2019 by AZTI for the European Marine Observation and Data Network (EMODnet). It is based on the dataset "Waterbase-UWWTD" (Urban Waste Water Treatment Directive – reported data) provided by the European Topic Centre on Inland, Coastal and Marine waters, and made available at https://www.eea.europa.eu/data-and-maps/data/waterbase-uwwtd-urban-waste-water-treatment-directive-8. The dataset is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities) and it presents the available information (location of discharge points, link to specific treatment plant, type of receiving area into which the effluent/wastewater is discharged, related waterbody/river basin) on individual points of discharge from treatment plants or collecting systems located in coastal NUTS3 regions, based on data selected from the reporting of Member States as part of the UWWTD implementation. The geographic coverage is: Belgium, Bulgaria, Croatia, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Latvia, Lithuania, Malta, Netherlands, Norway, Poland, Portugal, Romania, Slovenia, Spain, Sweden, United Kingdom. The description of all attribute fields of UWWTP is given in the Waterbase-UWWTD (https://www.eea.europa.eu/data-and-maps/data/waterbase-uwwtd-urban-waste-water-treatment-directive-9/waterbase-uwwtd). In this update, data provided by several countries during 2022 (Waterbase reported under UWWTD data call 2023 - PROVISIONAL PUBLIC VERSION, Dec. 2024) are included.
EMODnet Digital Bathymetry (DTM 2024) - Tile D7

The "EMODnet Digital Bathymetry (DTM)- 2024" is a multilayer bathymetric product for Europe’s sea basins covering:
•  the Greater North Sea, including the Kattegat and stretches of water such as Fair Isle, Cromarty, Forth, Forties,Dover, Wight, and Portland 
•  the English Channel and Celtic Seas  
•  Western Mediterranean, the Ionian Sea and the Central Mediterranean Sea 
•  Iberian Coast and Bay of Biscay (Atlantic Ocean) 
•  Adriatic Sea (Mediterranean) 
•  Aegean - Levantine Sea (Mediterranean). 
•  Madeira and Azores (Macaronesia) 
•  Baltic Sea 
•  Black Sea 
•  Norwegian and Icelandic Seas 
•  Canary Islands (Macaronesia) 
•  Arctic region and Barentz Sea

The DTM is based upon 22032 bathymetric survey data sets and Composite DTMs that have been gathered from 66 data providers from 28 countries riparian to European seas and beyond. Also Satellite Derived Bathymetry data products have been included fro Landsat 8 and Sentinel satellite images. Areas not covered by observations are completed by integrating GEBCO 2024 and IBCAO V4.

The source reference layer in the portal viewing service gives metadata of the data sets used with their data providers; the metadata also acknowledges the data originators. The incorporated survey data sets itself can be discovered and requested for access through the Common Data Index (CDI) data discovery and access service that contains > 41.000survey data sets from European data providers for global waters. The Composite DTMs can be discovered through the Sextant Catalogue service. Both discovery services make use of SeaDataNet standards and services and have been integrated in the EMODnet portal (https://emodnet.ec.europa.eu/en/bathymetry#bathymetry-services ).
In addition, the EMODnet Map Viewer (https://emodnet.ec.europa.eu/geoviewer/ ) gives users wide functionality for viewing and downloading the EMODnet digital bathymetry such as:
• water depth (refering to the Lowest Astronomical Tide Datum - LAT) in gridded form on a DTM grid of 1/16 * 1/16 arc minute of longitude and latitude (ca 115 * 115 meters).
• option to view depth parameters of individual DTM cells and references to source data
• option to download DTM in 59 tiles in different formats: ESRI ASCII, XYZ, EMODnet CSV, NetCDF, GeoTiff and SD
• option to visualize the DTM in 3D in the browser without plug-in
• layer with a number of high resolution DTMs for coastal regions
• layer with wrecks from the UKHO Wrecks database.

The EMODnet DTM is also available by means of OGC web services (WMS, WFS, WCS, WMTS), which are specified at the EMODnet Bathymetry portal.  
The original datasets themselves are not distributed but described in the metadata services, giving clear information about the background survey data used for the DTM, their access restrictions, originators and distributors and facilitating requests by users to originator.
Co-ordinated environmental monitoring programme

The CEMP is currently focussed on monitoring of the concentrations and effects of selected contaminants and nutrients in the marine environment as follows:
Monitoring, in the form of repeated measurements of key aspects of the state of the marine enviroment at key locations, provides the basis for assessing progress towards good environmental status and the evaluation of the effectiveness of actions being taken to protect the sea. 

The core marine environmental monitoring activity under the JAMP is the OSPAR CEMP. The CEMP is currently focussed on monitoring of the concentrations and effects of selected contaminants and nutrients in the marine environment as follows: 

metals (cadmium, mercury and lead) in sediment and biota 
PAHs in biota and sediment
PCBs in biota and sediment
brominated flame retardants in biota and sediment
tributyltin in sediment and its effects in gastropods
nutrients in sea water
eutrophication effects

The CEMP also includes a pre-CEMP covering components which the Contracting Parties are preparing to monitor in a co-ordinated manner through the development of monitoring guidance, quality assurance procedures and/or assessment tools. Currently the pre-CEMP includes the following components: 

planar PCBs in biota
alkylated PAHs in biota and sediment
TBT in biota
PFOS in sediment, biota and water
dioxins and furans in biota and sediment
PAH- and metal-specific biological effects
general biological effects

Contracting Parties' commitments under the CEMP are set out in detail in the CEMP agreement which is updated on an annual basis. The Eutrophication Monitoring Programme is a self standing component of the CEMP focussing on nutrients and eutrophication effects. Monitoring by Contracting Parties under the CEMP is coordinated through adherence to jointly agreed guidance on monitoring and quality assurance procedures, which provides a basis for the collection of comparable and quality assured data throughout the OSPAR maritime area. This guidance is compiled in the CEMP Monitoring Manual. 

All data collected under the CEMP are reported to ICES. Data on contaminants collected on the CEMP are assessed on a regular basis using methodologies set out in the CEMP Assessment Manual. Data on nutrients and eutrophication effects are assessed according to the OSPAR Common Procedure.
Bio-optical measurements in Utö Baltic Sea, spring 2017-spring 2018

Dataset contains bio-optical measurements carried out at Utö Atmospheric and Marine research station, from spring 2017 to spring 2018. Dataset includes continuous measurements of temperature, salinity, O2, fluorescence for Chlorophyll, phycocyanin, phycoerythrin and CDOM, spectral fluorescence and FRRF fluorometry from a flow-through system (sampling depth -5 m). Data set also includes 3-4 1-week  campaigns to measure exctracted Chlorophyll, spectral absorption and fluorescence, primary production and nutrients.
Details of instrumentation and measuring protocols can be obtained from the contact person. Data collected in the framework of JERICO-NEXT JRAP1.
EMODnet Digital Bathymetry (DTM 2024) - Tile A6

The "EMODnet Digital Bathymetry (DTM)- 2024" is a multilayer bathymetric product for Europe’s sea basins covering:
•  the Greater North Sea, including the Kattegat and stretches of water such as Fair Isle, Cromarty, Forth, Forties,Dover, Wight, and Portland 
•  the English Channel and Celtic Seas  
•  Western Mediterranean, the Ionian Sea and the Central Mediterranean Sea 
•  Iberian Coast and Bay of Biscay (Atlantic Ocean) 
•  Adriatic Sea (Mediterranean) 
•  Aegean - Levantine Sea (Mediterranean). 
•  Madeira and Azores (Macaronesia) 
•  Baltic Sea 
•  Black Sea 
•  Norwegian and Icelandic Seas 
•  Canary Islands (Macaronesia) 
•  Arctic region and Barentz Sea

The DTM is based upon 22032 bathymetric survey data sets and Composite DTMs that have been gathered from 66 data providers from 28 countries riparian to European seas and beyond. Also Satellite Derived Bathymetry data products have been included fro Landsat 8 and Sentinel satellite images. Areas not covered by observations are completed by integrating GEBCO 2024 and IBCAO V4.

The source reference layer in the portal viewing service gives metadata of the data sets used with their data providers; the metadata also acknowledges the data originators. The incorporated survey data sets itself can be discovered and requested for access through the Common Data Index (CDI) data discovery and access service that contains > 41.000survey data sets from European data providers for global waters. The Composite DTMs can be discovered through the Sextant Catalogue service. Both discovery services make use of SeaDataNet standards and services and have been integrated in the EMODnet portal (https://emodnet.ec.europa.eu/en/bathymetry#bathymetry-services ).
In addition, the EMODnet Map Viewer (https://emodnet.ec.europa.eu/geoviewer/ ) gives users wide functionality for viewing and downloading the EMODnet digital bathymetry such as:
• water depth (refering to the Lowest Astronomical Tide Datum - LAT) in gridded form on a DTM grid of 1/16 * 1/16 arc minute of longitude and latitude (ca 115 * 115 meters).
• option to view depth parameters of individual DTM cells and references to source data
• option to download DTM in 59 tiles in different formats: ESRI ASCII, XYZ, EMODnet CSV, NetCDF, GeoTiff and SD
• option to visualize the DTM in 3D in the browser without plug-in
• layer with a number of high resolution DTMs for coastal regions
• layer with wrecks from the UKHO Wrecks database.

The EMODnet DTM is also available by means of OGC web services (WMS, WFS, WCS, WMTS), which are specified at the EMODnet Bathymetry portal.  
The original datasets themselves are not distributed but described in the metadata services, giving clear information about the background survey data used for the DTM, their access restrictions, originators and distributors and facilitating requests by users to originator.
Contaminants-DDT: sediment stations v2019

This product displays the stations present in EMODnet validated dataset where DDT levels have been measured in sediment.
EMODnet Chemistry has included the gathering of contaminants data since the beginning of the project in 2009. 
For the maps for EMODnet Chemistry Phase III, it was requested to plot data per matrix (water,sediment, biota), per biological entity and per chemical substance. 
The series of relevant map products have been developed according to the criteria D8C1 of the MSFD Directive, specifically focusing on the requirements under the new Commission Decision 2017/848 (17th May 2017). The Commission Decision points to relevant threshold values that are specified in the WFD, as well as relating how these contaminants should be expressed (units and matrix etc.) through the related Directives i.e. Priority substances for Water. EU EQS Directive does not fix any threshold values in sediments. On the contrary Regional Sea Conventions provide some of them, and these values have been taken into account for the development of the visualization products.
To produce the maps the following process has been followed:
    1. Data collection through SeaDataNet standards (CDI+ODV)
    2. Harvesting, harmonization, validation and P01 code decomposition of data
    3. SQL query on data sets from point 2 
    4. Production of map with each point representing at least one record that match the criteria
The harmonization of all the data has been the most challenging task considering the heterogeneity of the data sources, sampling protocols.
Preliminary processing were necessary to harmonize all the data :
    • For water: contaminants in the dissolved phase;
    • For sediment: data on total sediment (regardless of size class) or size class < 2000 μm
    • For biota: contaminant data will focus on molluscs, on fish (only in the muscle), and on crustaceans
    • Exclusion of data values equal to 0
Black Sea - Danube Delta - DIVAnd 4D seasonal analysis of Water body dissolved oxygen concentration 1970/2019 v2023

Water body dissolved oxygen concentration - Seasonal Climatology for NW Black Sea (region in front of Danube Delta months) for the period 1970-2019 on the domain: Lon E28.5-30.5°E, Lat N43.7-45.6°N. 
Season definition: winter: December-February, - spring: March-May, - summer: June-August, - autumn: September-November.
Units: umol/l.
Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network.
Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.9, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length of 47.73km and vertical correlation length of 45m were applied. 
The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees.
The vertical resolution is 17 depth levels: 0.0, 2.0, 4.0, 6.0, 8.0, 10.0, 15.0, 20.0, 25.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0, 90.0, 100.0m.  
The error variance (epsilon2): 1 
An anamorphosis transformation was applied to the data: threshold value=200.
The mean value was used as background analysis field.
Quality control of the observations was applied using the interpolated field: QCMETHOD=3 and visual inspection (Observations with residuals outside the minimum and maximum values of the 99% quantile were discarded from the analysis after thoroughly visual inspection).
2012/3_MS: Shetland Area B: 1/128

This marine multibeam survey took place in March 2012 in the area of Shetland on board the Northern Lighthouse Board vessel NLV Pole Star. The survey was carried out by the British Geological Survey (BGS) on behalf of Marine Scotland. Sea floor bathymetry data were collected using a Kongsberg EM3002D multibeam system.
Azores: São Miguel island seafloor nature sediment

Interpretation of seismic sub-bottom profiles. Quartau, R., F. Curado, H. Duarte & C. Pinto, 2006. Projecto GEMAS – Localização e distribuição de areias em redor da ilha de S. Miguel. Relatório Técnico INGMARDEP 02/2006, Dept. Geologia Marinha - INETI, I.P., Lisboa.
Microzooplankton data (Tintinnida) collected during 7-th Ukrainian Antarctic Expedition (March, 2002) on board of R/V Horizont (Bransfield Strait)

Dataset includes zooplankton data (limited to order Tintinnida Kofoid and Campbel, 1929) collected during 7-th Ukrainian Antarctic Expedition (March, 2002) on board of R/V Horizont (Bransfield Strait).
Samples were collected from different depths in layer 0-100m by bathometer and bucket from the surface. Net samples were collected in layer 0-10m by Apshtein plankton net (mesh 55 um). 

Detailed methodology available at: Abundance and biomass of tintinnids (Protozoa, Ciliophora) in Brandsfield Strait in March 2002. (http://archive.nbuv.gov.ua/portal/Natural/uazh/2004_2/n2_119.pdf) and Microplankton of West Bransfield Strait: number and biomass structure in south autumn 2002. (http://repository.ibss.org.ua/dspace/handle/99011/207). 

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.
Phytoplankton and environmental study in the Southern North Sea between 1971 and 1973

Abundance of phytoplankton species and related environmental parameters for 57 stations in the Southern Bight of the  North Sea between January 1971 and June 1973. The data were digitized from technical reports in the frame of the 4DEMON project.
Dataset on densities of phytoplankton species and corresponding environmental parameters (temperature, salinity, nutrients, oxygen and some metals) for 57 stations in the North Sea between 23 January 1971 and 28 June 1973. A total of 786 samples were taken from different depths. Additional information (count of living or dead cells) is given.
Vegetation and ecology of tidal marshes in the Zwin (Knokke-Heist, West-Vlaanderen)

Overview of vegetation and associated soil physicochemical properties in the Zwin. The data were digitized by VLIZ from the original report: Van den Balck, E. (1994). Vegetatiekundige en ecologische studie van de slikken en schorren in het Zwin (Knokke-Heist, West-Vlaanderen). MSc Thesis. Universiteit Gent. Faculteit Wetenschappen: Gent. VI, 167, maps, ill. + 32 p. appendices pp.
This study describes the vegetation of tidal marshes and transitional areas in the Zwin. A soil survey was done to determine the soil texture, pH, salinity, nitrogen and organic carbon content, compaction and root density per horizon). Two transects of 55 and 21 surveys (opnamen) were analyzed: a total of 59 plant species were observed. TWINSPAN analysis divided data in 18 clusters. Species (combinations) and corresponding associations in these 18 clusters were Salicornia europaea, Suaeda maritima, Halimione portulacoides, Puccinellia maritima, Plantago maritima and Limonium vulgare, Armeria maritima, Juncus gerardii, Agrostis stolonifera and Trifolium fragiferum, Juncus maritimus and Oenanthe lachenalii, Phragmites australis and Scirpus maritimus, Elymus athericus and Atriplex littoralis, and Atriplex littoralis vegetation.
O_SCHIERMONNIKOOG - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding on Schiermonnikoog (the Netherlands)

O_SCHIERMONNIKOOG - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding on Schiermonnikoog (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 collected during CHIRP (Cumulative Human Impact on biRd Populations) for the study O_SCHIERMONNIKOOG using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study has been operational from 2008 to 2014. In total 43 individuals of Eurasian oystercatchers (Haematopus ostralegus) have been tagged as a breeding bird on the saltmarshes of the island Schiermonnikoog (the Netherlands), mainly to study their space use both during the breeding season and winter 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.

These data were collected by Sovon in collaboration with the University of Amsterdam (UvA). Funding was provided by NAM and supported by the UvA-BiTS virtual lab on the Dutch national e-infrastructure, built with support of LifeWatch, the Netherlands eScience Center, SURFsara and SURFfoundation. 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.