AndreaBozzo/ceres-open-data-index huggingface dataset:
EMODnet Digital Bathymetry (DTM 2018) - Tile D5

The "EMODnet Digital Bathymetry (DTM) - 2018" 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 more than 9400 bathymetric survey data sets and Composite DTMs that have been gathered from 49 data providers from 24 countries riparian to European seas. Also Satellite Derived Bathymetry data products have been included derived from Landsat 8 satellite images. 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 September 2018 contained > 27.000 survey data sets from European data providers for global waters. This discovery service makes use of SeaDataNet standards and services and have been integrated in the EMODnet portal (https://emodnet.ec.europa.eu/en/bathymetry#bathymetry-services ). The Composite DTMs are described using the Sextant Catalogue Service that makes also use of SeaDataNet standards and services. Their metadata can be retrieved through interrogating the Source Reference map in the Central Map Viewing service (https://emodnet.ec.europa.eu/geoviewer/ ). 
 In addition, the EMODnet Map Viewer 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: EMO, EMO (without GEBCO data), ESRI ASCII, ESRI ASCII Mean Sea Level, XYZ, NetCDF (CF), RGB 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.
Schaaldierencollectie van het Koninklijk Belgisch Instituut voor Natuurwetenschappen

The Royal Belgian Institute of Natural Sciences Crustacea collection contains 30806 digitised specimens over 1411 taxa (mostly species). This dataset only contains the marine species of the collection. The following classes are included: Arachnida, Branchiopoda Latreille, 1817, Clitellata, Gastropoda Cuvier, 1797, Hydrozoa Owen, 1843, Ichthyostraca Zrzavy et al., 1997, Insecta Linnaeus, 1758, Malacostraca Latreille, 1802, Maxillopoda Dahl, 1956, Merostomata, Ostracoda indet., Ostracoda Latreille, 1802, Pycnogonida Latreille, 1810, Secernentea, Sipunculidea.
Micro litter - Type of litter per net - Research and monitoring protocols 2011/2021 v2023

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

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

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

Standard vocabularies for microliter types are taken from Seadatanet's H01 library (https://vocab.seadatanet.org/v_bodc_vocab_v2/search.asp?lib=H01)

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.
Cartographie des peuplements benthiques de l'Ile d'Er (Source Reti├¿re C., Hamon D., Jouan G., 1974) - Echelle 1/6000

Cette cartographie des peuplements benthiques de l'├«le d'Er constitue la synth├¿se de l'├®tude men├®e par C. Reti├¿re, D. Hamon et G. Jouan du Mus├®um National d'Histoire Naturelle, Laboratoire maritime de Dinard et publi├®es sous forme papier en 1974.
Pour cette ├®tude, des prospections terrain ont ├®t├® r├®alis├®es au cours de l'├®t├® 1974.
Contaminants: Metals and metalloids - Lead (median values), v2023

This product displays for Lead, median values of the last 6 available years that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2022. The median values ranges are derived from the following percentiles: 0-25%, 25-75%, 75-90%, >90%. Only "good data" are used, namely data with Quality Flag=1, 2, 6, Q (SeaDataNet Quality Flag schema). For water, only surface values are used (0-15 m), for sediment and biota data at all depths are used.
Sea Temperature Anomaly 30 Years (ºC)

Sea surface temperature monthly anomaly, calculated over a 30-year baseline average. This product compares the yearly average sea surface temperature with the average of the baseline period. The product is based on the Coriolis Ocean database for ReAnalysis (CORA) v5.2 (surface data only), developed by IFREMER for Copernicus Marine Service. Developed by ETT for EMODnet Physics.
Data are accessible and available for download via the EMODnet Physics ERDDAP server.

DOI: https://doi.org/10.17882/46219 
Last data update: 2022-08-18
EUSeaMap (2023) Broad-Scale Predictive Habitat Map for the Caspian- Confidence in classification of substrate type

Confidence in the classification of substrate type in the 2023 EUSeaMap broad-scale predictive habitat map for the Caspian region.

Values are on a range from 1 to 3 (1=low confidence, 2=medium confidence, 3=high confidence).

Substrate type is one of the layers of information used to categorise physical habitat types in EUSeaMap; these layers of information are collectively known as 'habitat descriptors'. The substrate layer confidence was obtained from reclassification and standardisation of the confidence scores associated with each primary layer used to create the Substrate types layer.
Grey Seal Distribution Polygons

These grid data were derived from National Parks and Wildlife Service cetacean surveys within the Irish MSFD area and the EEA-10km GRID. The grid shows the current distribution of Harbour seal (Phoca vitulina) and Grey seal (Halichoreus grypus) in Irish coastal and marine waters. The data were collected for the purposes of 2019 reporting under Article 17 of the EU Habitats Directive.
Seafloor bedforms in the Gulf of Cadiz. C

Videoframe of seafloor displaying bedforms affecting sandy deposits in the continental slope of the Gulf of Cadiz, just downstream of the Strait of Gibraltar: isolated rocky boulder on a gravelly seafloor. The boulder acts as an obstacle to the bottom current, favouring the formation of a longitudinal sandy ribbon superimposed on a small scale and transverse asymmetric ripples. Note the sandy accumulation lee side of the obstacle as well as the two ripple patterns drawing a fishbone feature produced by secondary flows formed on both sides of the boulder. Additionally, note the fast transport and armouring by the MOW toward the ROV
2012-2013, Fugro EMU, Westermost Rough, Annex 1 Geogenic Reef Assessments

A geotechnical survey campaign was undertaken within the vicinity of the Westermost Rough Offshore Wind
Farm. This was supported by a preliminary review of acoustic data and assessment for the presence of Annex I
reefs to minimise the risk of potential damage to protected features.
Following the review of existing data, a drop down video survey protocol was
developed (EMU, 2011) and approved by the Marine Management Organisation (MMO). Part of this protocol
identified that a number of proposed geotechnical sampling sites were likely to be in the vicinity of potential
Annex I reefs and therefore warranted field ground-truthing by means of drop down video to verify the
presence and status of these features.  The video ground-truthing survey has now been completed. Drawing upon the findings of this survey, the 2012 EMU report present within this series provides an update of the assessment of the potential Annex I reefs present at the proposed
geotechnical sample locations and fulfils condition 3.1.1 of the Marine Licence (Licence L/2011/001075).  The aim of the 2013 Fugro EMU document also present within this series was to satisfy Marine Licence condition 31.22 and to address the responses from
the MMO regarding the Annex I reef features (letter ref: REN024, dated 12th April 2013, and 21st June
2013). The objectives were to assess the impacts (direct and indirect) of the construction activities on
the potential Annex I features.
The objectives of this report were to:
1. Assess the direct impact (loss of habitat) of each of the construction activities;
2. Assess the associated indirect impacts (increase in sediment smothering, and suspended
sediment concentrations.
3. Assess the cumulative impacts of all construction activities.
Seafloor bedforms in the Gulf of Cadiz. 3C

Image from ROV Argus showing bedforms in the distal furrow area of the
upper contouritic terrace eroded by the Mediterranean Outflow Water in the continental slope of the Gulf of Cadiz. Ripple distribution with different crestlines, rectilinear to sinuous. Likewise, note that local variations in the topography produce changes in the orientation of the bedform. The composition of the ripples also appears to be different, as revealed by the colour.
Long Line Fishing Effort

This dataset shows the distribution of fishing effort by fishing vessels according to the gear type used. Fishing effort is defined as the time spent engaged in fishing operations or time spent at sea, this time may be multiplied by a measure of fishing capacity, e.g. engine power. In this dataset fishing effort is measured as average hours spent actively fishing per kilometre square, per year. Data from years 2014 to 2018 was used to produce this data product for the Marine Institute publication the “Atlas of Commercial Fisheries around Ireland, third edition“ (https://oar.marine.ie/handle/10793/1432).
Biogeochemical data at a Mediterranean mussel farm, Northern Adriatic Sea

The database presents the field data used within the study carried out in the north-western Adriatic Sea (Brigolin et al., 2018, Biogeosciences https://doi.org/10.5194/bg-2017-206). A longline mussel farm was taken as a local source of perturbation to the natural Particulate Organic Carbon (POC) downward flux. This flux was first quantified by means of a pelagic model of POC deposition coupled to sediment traps data, and its effects on sediment bioirrigation capacity and OM degradation pathways were investigated constraining an early diagenesis model by using original data collected in sediment porewaters. The measurements were performed at stations located inside and outside the area affected by mussel farm deposition.
Dublin Bay Biosphere

Biospheres are places where nature and culture connect. In 1981, UNESCO recognised the importance of Dublin Bay by designating North Bull Island as a Biosphere because of its rare and internationally important habitats and species of wildlife. To support sustainable development, UNESCO’s concept of a Biosphere has evolved to include not just areas of ecological value but also the areas around them and the communities that live and work within these areas. There have since been additional international and national designations, covering much of Dublin Bay, to ensure the protection of its water quality and biodiversity.

To fulfil these broader management aims for the ecosystem, the Biosphere was expanded in 2015. The Biosphere now covers Dublin Bay, reflecting its significant environmental, economic, cultural and tourism importance, and extends to over 300km². Over 300,000 people live within the newly enlarged Biosphere. See https://www.dublinbaybiosphere.ie/ for further information.
Currents Cumnija Bay

The time series data consist of 4 sets of sub-surface sea currents which were collected at 10m depth in the same station during 4 deployments spanning the period between 29th May and 30th September 1996. The station was located off the coast of Cirkewwa. The measurements were made in connection with an oceanographic survey commissioned by Water Services Corporation with the intention of studying the hydrographic characteristics of this marine area for the purpose of a sewage outfall.
Campaña de adquisición de datos geológicos en el Mar de Alborán-SAGAS Bis

The seismic profile was obtained in order to map of the morphological features and to characterize the sedimentary systems in the northern of the Alboran Sea. 
High-resolution seismic profile acquisition. A high resolution three-channel GIS streamer with an active section length of 150 meters is used (3 active sections of 50 meters each). Each active section is configured to form 1 channel, adding 40 hydrophones per channel, obtaining 50 meters of separation between the three groups. The DELPH SEISMIC acquisition system is used. 6 Sercel GGUN-II guns are used, (70+70 cu.in, 150+150 cu.in, 45+45 cu.in), obtaining a string of 530 c.i. The recording format is in SEG-Y format. The EIVA navigation system is used. It is fired every 6 seconds.
REMP project - Stolonifera Habitat Suitability

This dataset consists of global raster maps indicating the habitat suitability for 7 suborders of cold water octocorals (Octocorallia found deeper than 50m). Maps present a relative habitat suitability index ranging from 0 (unsuitable) to 100 (highly suitable). 
This data set has been used as one of the data inputs in the Atlantic REMP project. This project, funded by the European Union, worked together with stakeholders to produce a draft Regional Environmental Management Plan (REMP) for the Area in the North Atlantic, with a focus on the polymetallic sulphide deposits of the Mid-Atlantic Ridge which are of interest for deep-sea mining. There was close collaboration with the International Seabed Authority (ISA) and a consortium of scientific organisations. Marine data from multiple data services underpinned the environmental management plan development. A selection of the data sets is included in EMODnet Ingestion for wider distribution.
Underway fluorometer data from cruise ETS_2018_10_08

The dataset contains pairs of files with fluorometer data acquiured underway during the cruise. The first file in a pair named "fluoXX", where XX is sequentional number, contains raw output of fluorometer. Each record in the file contains: global time (seconds from 01/01/1970), internal No, date, time, Chl-a value, and temperature value. The second file in a pair named "gpsXX" contains the respective GPS data: global time (seconds from 01/01/1970) and GPS GPGGA sentence in each record. The fluorometer model: 10-AU-005-CE of Turner Design. The raw output from the autoranging fluorometer has no absolute meaning without calibration against sample data, however it allows to investigate spatial variablity of parameter.
UK Offshore Carbon Capture and Storage - The Crown Estate Leases

This dataset shows carbon capture and storage agreements given by The Crown Estate. At this stage there is one Agreement for Lease for a site called Goldeneye, along with an existing pipeline agreement. The proposed CO2 and storage reservoir area is owned by Shell and is planned to form part of the carbon capture and storage project with the SSE Peterhead power station. Carbon from the gas-fired power plant in Peterhead will be pumped to Shell's depleted Goldeneye gas field, located 65 miles off the coast of north east Scotland. The proposed SSE Peterhead project aims to design and develop a full chain, post-combustion CCS facility which will be capable of capturing the CO2 from one 385 MW combined cycle gas turbine unit. The first injection is planned for 2016. The Don Valley Power Project (formally known as Hatfield) seeks to demonstrate Carbon, Capture and Storage on a new, 900MW integrated gas-fuelled combined cycle (IGCC) power station in the Humber area. The emissions will be captured at the power station and will be transported away to the storage area. In October 2015, the CCS site (AfL) which is part of the White Rose project changed its name from Aquifer 5/42 to Endurance.
REMP project - Fracture Zones

The GEBCO Sub-Committee on Undersea Feature Names (SCUFN) maintains and makes available a digital gazetteer of the names, generic feature type and geographic position of features on the seafloor. The gazetteer is available to view and download via a web map application, hosted by the International Hydrographic Organization Data Centre for Digital Bathymetry (IHO DCDB) co-located with the US National Centers for Environmental Information (NCEI). 
This data set has been used as one of the data inputs in the Atlantic REMP project. This project, funded by the European Union, worked together with stakeholders to produce a draft Regional Environmental Management Plan (REMP) for the Area in the North Atlantic, with a focus on the polymetallic sulphide deposits of the Mid-Atlantic Ridge which are of interest for deep-sea mining. There was close collaboration with the International Seabed Authority (ISA) and a consortium of scientific organisations. Marine data from multiple data services underpinned the environmental management plan development. A selection of the data sets is included in EMODnet Ingestion for wider distribution.
Seafloor bedforms in the Gulf of Cadiz. 4B

Image from ROV Argus showing bedforms in the proximal region of the
southern channel eroded by the Mediterranean Outflow Water in the continental slope of the Gulf of Cadiz. Linear erosive furrows excavated on the muddy seafloor channel located adjacent to the previous internal margin. These furrows are covered partially by sandy sediment with starved rectilinear to sinuous asymmetric ripples. This starvation allows for the exposure of the mudstone surface over which the ripples are moving. Note that the furrows and ripples in the bottom current agree with the current direction inferred by tracking the suspended particles.
Hazardous substances in the sediments and their pathways from potential sources in the eastern Gulf of Finland

Contamination by hazardous substances is one of the main environmental problems in the eastern Gulf of Finland, Baltic Sea. A trilateral effort to sample and analyse heavy metals (HMs), polycyclic aromatic hydrocarbons (PAHs), and organotins from bottom sediments in 2019–2020 were conducted along with harvesting historical data in Russian, Estonian and Finnish waters. We suggest that the input of organotins still occurs along the ship traffic routes. The tributyltin content exceeded the established quality criteria up to more than 300 times. High contamination by PAHs found near the ports, most likely originate from incomplete fuel incineration processes. The Neva River Estuary and Luga Bay might potentially suffer from severe cadmium contamination. The high ecological risk attributed to the HMs was detected at deep offshore areas. The simulated accumulation pattern qualitatively agrees with field observations of HMs in sediments, demonstrating the potential of numerical tools to tackle the hazardous substances problems.
Macronutrient data collected by RRS James Clark Ross cruise 38 around South Georgia and the Maurice Ewing Bank (Southern Ocean), Dec 1998-Jan 1999

The dataset comprises macronutrient (nitrate, nitrite, phosphate, silicate, ammonia/ammonium) data collected on RRS James Clark Ross cruise 38 around South Georgia and the Maurice Ewing Bank in the Southern Ocean. The data were collected using CTD rosette water bottles and the ship's non-toxic seawater supply with an intake depth about 6 - 7 m between 16 December 1998 and 12 January 1999 as part of an integrated ecosystem analysis. They form part of a more extensive dataset collected over 30 years, between 1980 and 2009, by the British Antarctic Survey.
SURATLANT: a 1993-2017 surface dataset in the central part of the North Atlantic subpolar gyre

The SURATLANT dataset (SURveillance ATLANTique) consists of individual data of temperature, salinity, dissolved inorganic carbon (DIC) and its isotopic composition d13CDIC, total alkalinity (At), inorganic nutrients and water stable isotopes (d18O and dD) collected mostly from ships of opportunity since 1993 along transects between Iceland and Newfoundland. The data have been validated, qualified, and their accuracy and the overall characteristics of the data set are presented in a paper (Reverdin et al., 2018, submitted to ESSD).

The csv file provides a listing of the data with one line for each collection date. This includes collection date, position, temperature, salinity, and the measured, validated and in some cases adjusted variables, as well as a quality code following WOCE/GLODAP format. For water isotopes, a code is also provided indicating the method of measurement used. Format and units are described in the top 56 lines of the files, and the data listing starts on line 61.

An additional text-file provides a normalized average seasonal cycle of the 10 variables measured in 5 boxes between the vicinity of Newfoundland to the south-west of Iceland (corresponding to the figure 3 of the paper Reverdin et al in the References). Format and information is provided in the top 25 lines and the gridded seasonal cyle data start at line 26.
Secchi depth measurements in coastal waters in the Vitrupe - Ainazi area (Gulf of Riga)

The measurements of Secchi depth were done within Estonia-Latvia transboundary project "Towards joint management of the transboundary Gauja/Koiva river basin district" for harmonization of water quality classification system for transboundary water bodies in the Gauja/Koiva river basin district and adjacent areas (in Estonia) in the Gulf of Riga." The measurements were done once in August 2012 along with underwater video observation, SPM, TN, TC, Chlorophyll a and CTD measurements in coastal waters in shallow part (2 - 12m) of the East coast of the Gulf of Riga. Data were used for Final report on assessment of the quality status of the transboundary water bodies (coastal, lakes, rivers) in Gauja/Koiva river basin district (2013. Kalvane I. and Veidemane K. (eds.))