AndreaBozzo/ceres-open-data-index huggingface dataset:
Benthic isopods from the abyss of the Guinea, Angola and Cape basins (equatorial and south-east Atlantic) collected during the DIVA 1-2 expeditions (2000, 2005) using an epibenthic sledge

Isopoda from this data set were collected during the DIVA (Latitudinal Gradients of Deep-Sea BioDIVersity in the Atlantic) 1-2 expeditions (Me 48/1 -DIVA 1; Me 63/2 - DIVA 2) on board RV Meteor, taking place in July 2000 (DIVA 1), and between February and March 2005 (DIVA 2). Samples were taken by means of an epibenthic sledge (EBS). A total of 15 EBS samples were taken in three abyssal basins of the equatorial and South-eastern Atlantic at depths between 5,047 and 5,657 m, Guinea basin in the equatorial Atlantic, as well as the Angola and Cape basins in the SE Atlantic. Macroecological patterns of diversity and abundance in the deep sea have been derived to a large extent from macrofaunal data from the North Atlantic, while data from the Southern Hemisphere abyss are sparse. This leads to a somewhat distorted view of biodiversity patterns along latitudinal gradients.
The aim of the DIVA expeditions was to close some knowledge gaps in order to contribute to a better understanding of the diversity patterns and their causes in the abyssal Atlantic Ocean. In total of 4,780 isopod specimens were obtained from the EBS samples. Except for the parasitic isopods, which were not considered here, all specimens belong to the suborder Asellota. Of the 13 identified asellotan families, Munnopsidae were most dominant constituting 45.0 % of total asellotan specimens, followed by the Desmosomatidae (19.5%) and Haploniscidae (18.2%). Isopod densities were highest in the western Guinea basin and lowest in the northern Angola basin, reflecting differences in food availability between basins.
280_201202-HRDTM-Balearic Sea-60m

This composite Digital Terrain Model (cDTM) is a high resolution bathymetry dataset that covers bathymetry surveys INDEMARES-2, ABIDES-2, ABIDES-3, ABIDES-ROV and ABIDES-5 . Multibeam data acquired in 2010, 2017 and 2018 on board the R/V Garcia del Cid using a Elac Seabeam 1050D echosounder and in 2017 on board the Sarmiento de Gamboa using an Atlas Hydrosweep DS-3 multi-beam echosounder.
Young Fish Survey Data 1981 to 2010

Total numbers of individual fish identified during the Cefas Young Fish Survey (YFS) which ran from 1981 to 2010. The survey deployed a light 2-meter beam trawl to survey inshore locations for small / young fish around the British Isles, predominantly along the south and east coasts. Total numbers of fish (identified to species or if not to the highest taxonomic level) were recorded at each station, and were measured in the majority of cases. The surveys were primarily undertaken to evaluate the abundance of juvenile sole and plaice, as well as providing further information on the abundance of other species of fish. The YFS formed part of the International Young Fish Survey, coordinated by ICES.
The survey used commercial inshore vessels to sample with a light 2-meter beam trawl deployed at fixed (prime) stations, towed for a duration of 10-minues, with varying coverage of the British Isles over the time-series period. From 2000 onwards actual shot and haul positions were recorded, whereas prior to this a single generic position was given for a specific prime station. Fish species were nearly always measured, and on the very few occasions that they were not they were counted. These data are currently undergoing quality assurance. Species-specific records for gobies are known to contain taxonomic errors, and analyses should be undertaken on data aggregated to the level of family (Gobiidae). Data for sand smelt Atherina spp. and smelt Osmerus eperlanus may also be confounded, and data for these taxa should be interpreted with particular care.
Seafloor bedforms in the Gulf of Cadiz. E

Videoframe of seafloor displaying bedforms affecting sandy deposits in the continental slope of the Gulf of Cadiz, just downstream of the Strait of Gibraltar: starved sand ribbons with superimposed ripples resting on the rocky surface that are also colonized by sponges. This image highlights obstacle marks formed by sponges.. Note that current direction is responsible for tails, bars and ripples formation and is coincident with suspended sediment transport direction.
Cetacean sigthings in North Sea

Minke whales and other marine mammals were recorded in the central North Sea in an area characterised by frontal features and high productivity northeast of the Dogger Bank (4677 km2). Survey efforts were carried out from 28 March to 2 July 2007, at a finer scale than in earlier studies in the region, using 2 vessels as platforms of opportunity and a dedicated line- transect survey vessel following distance sampling methods. The high density of whales indicated that this offshore bank slope is an important spring habitat for minke whales in the North Sea. In total, 77 sightings of minke whales comprising 130 individuals were recorded. The peak density of minke whales was estimated to be 0.029 whales km–2 (minimum estimate, 95% CI: 0.012 to 0.070) in May. During peak abundance, the minke whales temporarily congregated in the area, suggesting that the whales were taking advantage of the local spring abundance of sandeels.
The density found was higher than previous studies have suggested for the central North Sea. The results correspond to recent observations of minke whale redistribution within the North Sea, and these may be related to a decline in sandeel availability elsewhere in the North Sea. Offshore banks that aggregate prey may therefore become increasingly important feeding habitats for minke whales and other top predators in the North Sea. The observed habitat preference of minke whales along this offshore bank appeared to be similar to that observed in coastal areas, and this suggests some degree of generality regarding the preference for this type of habitat. Purpose: As part of a geophysical seismic survey, marine mammals observations were carried out from three vessels: one seismic vessel, one supply vessel operating well ahead from the seismic vessel. The third vessel, MV ‘Andfjord’, carried out a dedicated Line Transect (LT) survey (23 April to 17 May). The LT vessel was surveying at distances of ≥20 km away from the geophysical vessel and followed predetermined line transects placed randomly in a zigzag pattern in the central (German) part of the survey area.
ChEssBase

ChEssBase is a dynamic relational database for all deep-water species from chemosynthetic ecosystems (hydrothermal vents, cold seeps and other reducing environments such as whale carcasses, sunken wood or OMZs) being constructed from the ChEss project (Biogeography of Deep-Water Chemosynthetic Ecosystems) within the Census of Marine Life initiative.
The aim of ChEssBase is to provide taxonomical, biological, ecological and distributional data for all species described from deep-water chemosynthetic ecosystems, as well as information on available samples, images, bibliography and information on the habitats.These habitats include hydrothermal vents, cold seeps, whale falls, sunken wood and areas of minimum oxygen that intersect with the continental margin or seamounts. Since the discovery of hydrothermal vents in 1977 and of cold seep communities in 1984, over 590 species from vents and over 230 species from seeps have been described. Chemosynthetically fueled communities have now also been found on large organic falls to the deep-sea floor such as whale falls and sunken wood, as well as on benthic zones of oxygen minimum.The data gathered in the last 30 years has shown that some species are shared amongst these ecosystems and our knowledge of their phylogeography improves with every new discovery. New species are continuously being discovered and described from research programmes around the globe and therefore ChEssBase is in active development and new data are being entered regularly. At present, ChEssBase includes data on 1740 species from 193 chemosynthetic sites around the globe. These data contain information (when available) on the taxonomy, morphology, trophic level, reproduction, endemicity, habitat type and distribution. There are now 1880 papers in our reference database.The first version of ChEssBase was available online in December 2004. In summer 2005, ChEssBase and the InterRidge biological database (www.interridge.org) were fused into a single source of information for biological data from chemosynthetic ecosystems. This second version of ChEssBase is available online since August 2005, with new records as well as new search and download options. Since December 2005, ChEssBase is integrated in the Ocean Biogeographic Information System (OBIS, www.iobis.org).ChEssBase is supported by a species-based relational database in MySQL. The database includes 3 major components:Taxonomy (from kingdom to subspecies)Distribution (from site to major geographic area)Samples (including sample, cruise and institution information)ChEssBase is regularly updated with new information available in the literature. In order to quickly obtain accurate new data and help maintain the database up to date, we would be very grateful if you could send us any new publications with data relevant to ChEssBase, which we would add to the database, together with the relevant references.
Mediterranean Sea - Po River - DIVAnd 4D seasonal analysis of Water body phosphate 1960/2019 v2021

Water body phosphate - Seasonal Climatology for Po River for the period 1980-2019 on the domain: Lon E12.0-14.0 deg.E, Lat N44.0-46.00 deg.N. 
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 2.7.4, using GEBCO 30sec topography for the spatial connectivity of water masses. A relative correlation length used based on topography gradients and the horizontal correlation length varies from 25 km to 12.5 km. The vertical correlation length (in meters) is:  [4.,4.,4.,4.,4.,10.,10.,10.,10.,20.,20.,20.,20.,20.]. Depth range: [0., 2., 4., 6., 8., 10., 15., 20., 25., 30., 40., 50., 60., 70.]. Units: umol/l. 
The horizontal resolution of the produced DIVAnd maps grids is dx=dy=0.009 degrees (around 975m and 708m accordingly).
Additional analysis parameters: The error variance (epsilon2) was set equal to 1. Data weight was reduced near the coasts. Data weighting was applied with the following threshold values: lon=0.03, lat=0.03, depth=2. Threshold value for log transformation=200.
Seasons definition: Winter=Jan-Mar, Spring=Apr-Jun, Summer=Jul-Sep, Autumn=Oct-Dec.
DOI: 10.6092/jb28-9k33
Manipulative field experiment to study the predation by epibenthos on infaunal macrobenthos in a Ceriops tagal mangrove at Gazi Bay in 1992

Abiotic and biotic parameters measured in a field experiment to investigate the effect of predation by epibenthos on infaunal macrobenthos of a Ceriops tagal tropical mangrove monthly sampled between August 1992 and December 1992. The data were digitized by VLIZ from the original report: Garcia de Camargo, M. (1995). Interactions between macrobenthic epifauna and infauna in a Ceriops tagal mangrove at Gazi Bay, Kenya. MSc Thesis. Vrije Universiteit Brussel: Brussel. 64 pp.
Completely screened cages were used to exclude large epibenthic predators and partial cages were used to control effect of caging on the sediment. Densities of macrobenthic taxa Oligochaeta, Amphipoda, Insecta larvae, Polychaeta and macro-Nematoda and a broad range of abiotic variables were followed in the surface layer (0-2 cm) over five months of caging. There was a significant exclusion effect on Tubificidae densities and chlorophyll concentration and a procedural effect on macro-Nematoda and inorganic mud.
Contaminants-Hexachlorobenzene: stations above LOD/LOQ v2019

This product displays the stations where hexachlorobenzene has been measured and the values present in EMODnet Chemistry infrastructure are always above the limit of detection or quantification (LOD/LOQ), i.e quality value equal to 1.
It is necessary to take into account that LOD/LOQ can change with time. These products aggregate data by station, producing only one final value for each station (above, below or above/below).  
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
Seawater Practical Salinity from GLODAPv2_2016b (PSU)

Global mapped climatology of seawater practical salinity derived from the Global Ocean Data Analysis Project version 2 (GLODAPv2.2016b) dataset, using the Data Interpolating Variational Analysis (DIVA) mapping method. The product covers all ocean basins for the observation period 1972–2013, providing gap-filled fields on a 1° × 1° horizontal grid interpolated onto 33 standard depth surfaces. Error fields are included and calculated using the clever poor man's error estimation method within DIVA.
GLODAPv2 is a quality-controlled, internally consistent compilation of surface-to-bottom ocean biogeochemical bottle data. Note that the mapped gridded climatology is available exclusively for this 2016b version; subsequent GLODAP annual updates (v2.2019 onwards) are released as merged and adjusted observation products only, without a corresponding mapped climatology. 
Data are available for download in netCDF format.

DOI: https://doi.org/10.3334/CDIAC/OTG.NDP093_GLODAPv2
Last data update: 2016-05-19
EMODnet Digital Bathymetry (DTM 2022) - Tile A3

The "EMODnet Digital Bathymetry (DTM)- 2022" 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 21937 bathymetric survey data sets and Composite DTMs that have been gathered from 64 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 2022 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 in December 2022 contained > 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 58 tiles in different formats: ESRI ASCII, XYZ, EMODnet CSV, NetCDF (CF), 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.
MH_ANTWERPEN - Western marsh harriers (Circus aeruginosus, Accipitridae) breeding near Antwerp (Belgium)

MH_ANTWERPEN - Western marsh harriers (Circus aeruginosus, Accipitridae) breeding near Antwerp (Belgium) is a bird tracking dataset published by the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (http://lifewatch.be/en/gps-tracking-network-large-birds) for the project/study MH_ANTWERPEN, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study has been operational since 2018. In total 4 individuals of Western marsh harriers (Circus aeruginosus) have been tagged in their breeding area near the city of Antwerp (Belgium), mainly to study their habitat use and migration behaviour.
Data are periodically uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see https://github.com/inbo/bird-tracking).

See Milotic et al. (2020, https://doi.org/10.3897/zookeys.947.52570) for a more detailed description of this dataset.

Data in this package are exported from Movebank study MH_ANTWERPEN - Western marsh harriers (Circus aeruginosus, Accipitridae) breeding near Antwerp (Belgium) (Movebank Study ID 938783961), which can be viewed at https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study938783961. Fields in the data follow the Movebank Attribute Dictionary (http://vocab.nerc.ac.uk/collection/MVB) and are described in datapackage.json.

This dataset was collected using infrastructure provided by INBO and funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.

The DOI in the citation represents all versions. To find the DOI of the different versions, go to the Zenodo record.
Micro litter - Nets location & mesh size used - Research and monitoring protocols 2011/2021 v2023

This visualization product displays nets locations where research and monitoring protocols have been applied to collate data on microlitter.
Mesh size used with these protocols have been indicated with different colors in the map.
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.

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.
Occurrence of Eukaryotes in the size fraction >680 micrometres, collected worldwide during the Tara Oceans expedition (2009-2013) using a Régent net and analysed on a ZooScan imaging platform

The Tara Oceans project sampled contrasting ecosystems of the world oceans during a three-year expedition (2009-2013), collecting environmental data and plankton, from viruses to metazoans, on board the 36-metre Tara Schooner. It surveyed 210 ecosystems in 20 biogeographic provinces, collecting over 35,000 samples of seawater and plankton. Samples were later analysed using modern sequencing and state-of-the-art imaging technologies.
We are keen to thank the commitment of the following people and sponsors who made this singular expedition possible: CNRS, EMBL, Genoscope/CEA, VIB, Stazione Zoologica Anton Dohrn, UNIMIB, ANR (projects POSEIDON, BIOMARKS, PROMETHEUS, and TARA-GIRUS), FWO, BIO5, Biosphere 2, agnès b., the Veolia Environment Foundation, Region Bretagne, World Courier, Illumina, Cap L'Orient, the EDF Foundation EDF Diversiterre, FRB, the Prince Albert II de Monaco Foundation, Etienne Bourgois, the Tara schooner and its captain and crew. Tara Oceans would not exist without the continuous support of the participating 23 institutes (see http://oceans.taraexpeditions.org).