AndreaBozzo/ceres-open-data-index huggingface dataset:
EMODnet Digital Bathymetry (DTM 2020) - Tile F4

The "EMODnet Digital Bathymetry (DTM)- 2020" 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 16360 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 and Sentinel satellite images. Areas not covered by observations are completed by integrating GEBCO 2020 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 2020 contained > 30.000 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: 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.
ICES Operational Oceanographic Products and Services - Gridded Copepod abundance data

The International Council for the Exploration of the Sea (ICES), located in Copenhagen is an organisation providing scientific advice in the North Atlantic on the exploitation and stewardship of the marine ecosystem and marine living resources. Within this role, it is developing an integrated ecosystem advice at a regional level which will be appropriate to managers, policy developers and interested stakeholders. As part of this ICES has recently constructed “Ecosystem Overviews” which describe the trends in pressures and state of regional ecosystems. These advice processes require regular inputs of monitoring information on the oceanography and hydrology of the regions, called Operational Oceanographic Products and Services (OOPS).
This dataset consists of gridded abundance map of copepod species. This product was developed with DIVA (Data-Interpolating Variational Analysis). Data was provided by SAHFOS (Continuous Plankton Recorder (CPR) data (zooplankton) from the Sir Alister Hardy Foundation for Ocean Science (SAHFOS).).
Seagrass beds distribution along the Mediterranean coasts - Mediterranean Sensitive Habitats (MEDISEH)

The dataset of seagrasses distribution across the Mediterranean produced in the framework of MEDISEH derived from the compilation of published and unpublished information. For example literature search was made using mainly the ISI Web of Knowledge engine. At the same time a new search started from the “Bibliographic References” at the end of each paper. We amended the data set with our own unpublished data (grey literature). Moreover, we included data from reports of national and EU research projects and data networks. A major contribution to the improvement of our knowledge on seagrasses in the Mediterranean and especially Posidonia derived from the establishment of Natura 2000 network.
Most of collected data were only available on hard copy. This means that a lot of Posidonia (and other seagrasses) data distribution were in jpeg or .pdf format, or only, as description in a text. So, this kind of information had to be digitilized in order to associate it with a map and incorporate it in the GIS viewer. The final result was a shapefile with the exact position of seagrass, limits, extent, etc.

The overall dataset has been separated into historical and current data. The current data are further divided into presence, absence and no data.
Modeling of protected habitats using predictor variables - Mediterranean Sensitive Habitats (MEDISEH)

This dataset shows modelled spatial distributions of coralligenous outcrops, maërl beds across the Mediterranean Sea. These bioconstructions are typical Mediterranean underwater seascapes, comprising coralline algal frameworks that grow in dim light conditions. They are the result of the building activities of algal and animal constructors, counterbalanced by physical, as well as biological, eroding processes. Because of their extent, biodiversity and production, coralligenous and maërl habitats rank among the most important ecosystems in the Mediterranean
Sea, and they are considered of great significance both for fisheries and carbon
regulation. 
The dataset also shows modelled spatial distributions for Posidonia oceanica. Posidonia oceanica is endemic to the Mediterranean Sea, where it is the dominant seagrass.
Coralligenous and mäerl beds distribution along the Mediterranean coasts - Mediterranean Sensitive Habitats (MEDISEH)

A lot for information has been derived from three critical sources: the first is the Action plan for the conservation of the coralligenous and other calcareous bio-concretions in the Mediterranean Sea by the UNEP-MAP-RAC/SPA (2008) followed by the report in the State of knowledge of the geographical distribution of the coralligenous and other calcareous bio-concretions in the Mediterranean by UNEP (2009). Together with these two initiatives, at present, there are other projects carried out at national and international scale focusing on bioconstructions, their distribution and the driving forces affecting their structure and function.
A total of 798 scientific documents have been collected up to now, together with 43 shapefiles, 1492 polygons and 641 data points for coralligenous formations, 47 polygons and 124 data points for maërl, and 39 bathymetric maps within the framework of MEDISEH project. Even though proving information about absence data for both coralligenous and mäerl can be extremely difficult, an attempt has been made and 584 polygons have been included for coralligenous formations and 935 for maërl data. Detailed information for these two habitats is now available on about 15% of the Mediterranean coastal area.
Atlantic circulation changes across a stadial-interstadial transition

We combine consistently dated benthic carbon isotopic records distributed over the entire Atlantic Ocean with numerical simulations performed by a glacial configuration of the Norwegian Earth System Model with active ocean biogeochemistry, in order to interpret the observed Cibicides d13C changes at the stadial-interstadial transition corresponding to the end of Heinrich Stadial 4 (HS4) in terms of ocean circulation and remineralization changes. We show that the marked increase in Cibicides d13C observed at the end of HS4 between ~2000 and 4200 m in the Atlantic can be explained by changes in nutrient concentrations as simulated by the model in response to the halting of freshwater input in the high latitude glacial North Atlantic. Our model results show that this Cibicides d13C signal is associated with changes in the ratio of southern-sourced (SSW) versus northern-sourced (NSW) water masses at the core sites, whereby SSW is replaced by NSW as a consequence of the resumption of deep water formation in the northern North Atlantic and Nordic Seas after the freshwater input is halted. Our results further suggest that the contribution of ocean circulation changes to this signal increases from ~40% at 2000 m to ~80% at 4000 m. Below ~4200 m, the model shows little ocean circulation change but an increase in remineralization across the transition marking the end of HS4. The simulated lower remineralization during stadials than interstadials is particularly pronounced in deep subantarctic sites, in agreement with the decrease in the export production of carbon to the deep Southern Ocean during stadials found in previous studies.
Important Note: This submission has been initially submitted to SEA
scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI.
The metadata elements have been further processed (refined) in EMODnet
Ingestion Service in order to conform with the Data Submission Service
specifications.
Raw EK60 echosounder data: Swart seamount,  British Indian Ocean Territory 2015

These data consist of raw uncalibrated 38 and 120 kHz echosounder observations collected during a pelagic survey of the Chagos archipelago MPA (January 2015). Observations were collected from a pole-mounted system (transducers were fixed at a depth of 3m). Data include several transects recorded during the 19th January at the Swart seamount site (close to Diego Garcia). A calibration was conducted prior to the survey. Resultant transducer peak gain (G0) and Simrad correction factor (Sa) values were as follows: 38 kHz (power = 1000 W; pulse duration = 1.024 ms; G0 = 20.97 dB; Sa = -0.62 dB) and 120 kHz (power = 250 W; pulse duration = 1.024 ms; G0 = 24.5 dB; Sa = -0.29 dB).
Romanian Black Sea Zooplankton data from 2011 to 2015

The zooplankton dataset contains samples collected during 2011-2015, from different stations located in the Romanian Black Sea area. Samples were collected using the Juday net, with an opening of 36 cm diameter and 150 µm mesh size from different depths, in cold and warm season . Zooplankton samples were analyzed both from quantitative (density and biomass) and qualitative (list of species) point of view.
The dataset contains qualitative and quantitative data of mesozooplankton taxa identified in 2011-2015, from station located in the Romanian Black Sea area, from a standard monitoring network. The sampling was performed with the aim of monitoring and data collection, in line with the NIMRD projects objectives, bringing together the expertise and competences required for implementing planned activities.
National Pilot Monitoring Studies Phyllophora August 2017, Improving Environmental Monitoring in the Black Sea - Phase II (EMBLAS-II), ENPI/2013/313-169, (Mesozooplankton)

Mesozooplankton data: species composition, abundance (ind/m3), biomass (mg/m3) collected during the survey of the National Pilot Monitoring Studies Ukraine (NPMS UA) in the Ukrainian waters (North-Western part of the Black Sea) in the area of the Zernov’s Phyllophora Field onboard the M/V "Auguste Piccard" (Ukraine) in August 2017
Data collected within the EMBLAS-II "EU-UNDP Project 'Improving Environmental Monitoring in the Black Sea' (EMBLAS-II)" (http://emblasproject.org/). EMBLAS-II is co-financed by the European Commission (EC) and United Nations Development Programme (UNDP). The project implementation started on 1 April 2014 and ended on 31 May 2018, having the total duration of 50 months. The EMBLAS project is addressing the overall need for support in protection and restoring the environmental quality and sustainability of the Black Sea. The specific objectives are as follows: Improve availability and quality of Black Sea environmental data in line with the MSFD and Black Sea Strategic Action Plan (2009) needs; Improve partner countries' ability to perform marine environmental monitoring along MSFD principles, taking into account the Black Sea Diagnostic Report II recommendations on capacity building.  
The National Pilot Monitoring Studies (NPMS) and Joint Open Sea Survey (JOSS) Programme was developed within the framework of Project Activities. The NPMS-2017 (Phyllophora) was performed in period 2017.08.16 to 2017.08.18 in the Ukrainian waters (North-Western part of the Black Sea) in the area of the MPA Zernov’s Phyllophora Field onboard the M/V "Auguste Piccard" (Ukraine). Mesozooplankton samples were collected by vertical plankton Juday net, 0.1 m2 mouth opening area, 150 μm mesh size, from 2 meters above the bottom or from the lower boundary of the oxic layer to the surface at discrete sampling layers. The length and angle of the wire were taken under consideration for calculation of the wire length to get the target horizon.  Sampling performed by M. Nabokin, O. Zotova (UkrSCES)
Recipient monitoring of Östhammar Municipality

All major businesses that have a discharge point into water and according to the Environmental Code are classified as environmentally hazardous are also responsible for taking samples of the water they discharge themselves. Such a business can, for example, be an industry, a sewage treatment plant or a large farm.
Since the water that a discharge point empties into is called a recipient, this sampling is called recipient control.

The municipality conducts water quality sampling at all discharge points from the treatment plants. Through this sampling, we measure, among other things, depth of view, oxygen content, levels of nutrients and more.
The purpose of the investigation is to describe and monitor the environmental impact on the recipient from Osthamar's treatment plant and urban area.
Contaminants-Hexachlorobenzene: stations above/below LOD/LOQ v2019

This product displays the stations where hexachlorobenzene has been measured and the values present in EMODnet Chemistry infrastructure are either above or below the limit of detection or quantification (LOD/LOQ), i.e for the substance, in that station, quality values found in EMODnet validated dataset can be equal to 6, Q or 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
Flow cytometer data during Poseidon survey in the Celtic Sea in 2016

Participation into annual multidisciplinary pelagic surveys of the Western Channel and Celtic Sea waters as part of project Poseidon. The aims of the Poseidon project is to estimate the biomass of-, and gain insight into the population of the small pelagic fish community using trawl and acoustic. Continuous recording of phytoplankton groups was coupled using automated flow cytometry (CytoSense), together with other measurements.
These measurements are: surface (4 m) salinity, temperature, fluorometry, oxygen and pH and Fv/Fm from the ‘Ferrybox’, phytoplankton functional types with a flow-cytometer (Cytosense) and zooplankton with the Plankton Image Analyser (PIA), Chlorophyll a concentration, dissolved oxygen concentration, salinity, temperature, inorganic nutrients concentration and the relevant QAQC samples for calibration of the equipment from discrete samples. Besides, phytoplankton and micro-zooplankton at predetermined 18 primary stations for further analysis were taken back to the lab (species composition, abundance, biomass and size distribution).
Miesmuschelb├ñnke im Nieders├ñchsischen Wattenmeer 2005 (UIG), Blue mussel beds in the Wadden Sea of Lower Saxony 2005

Miesmuschelb├ñnke im Nieders├ñchsischen Wattenmeer 2005. 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 2005. 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)
EMODnet Human Activities, Military Areas

The dataset on offshore military areas in the European seas was created in 2020 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains points and/or (where available) polygons representing offshore military areas in the following countries: Belgium, Bulgaria, Denmark, Estonia, Finland, France, Germany, Greece, Ireland, Latvia, Lithuania, Netherlands, Poland, Portugal, Spain and Sweden. Each point and/or polygon has the following attributes (where available): Country, Country_2, Country_3, Status (Active, Deactivated, Unknown, Planned), Type_1 (Firing Area, Air Force Exercise, Surface Exercise, Underwater Exercise, Mine Hunting Exercise, National Defence Area), Type_2, Type_3, Resource, Distance to coast (metres) and Area (square kilometres). The distance to coast (EEA coastline shapefile) has been calculated using the UTM WGS84 Zone projected coordinate system where data fall in.
2012/10_JNCC: Stanton Banks: Area B 1/128

This marine multibeam and sampling survey was undertaken on Stanton Banks by the Joint Nature Conservation Committee (JNCC), Centre for Environment, Fisheries & Aquaculture Science (CEFAS) and British Geological Survey (BGS) in July/August 2012 on board the Northern Lighthouse Board vessel NLV Polestar. The survey was led by the JNCC and included a team from CEFAS who were involved in benthic sampling. A combination of surveys methods were employed, including seabed imagery (drop camera), day grabs and rock dredges.  BGS collected sea floor multibeam bathymetry data using a Kongsberg EM3002D multibeam system.
LifeWatch Cruise 21-870: Trip 4079

Cruise 21-870 is part of the regular LifeWatch campaigns covering the Belgian Economic Exclusive Zone within the scope of the Flemish contribution to LifeWatch.eu. The dataset covers the two day cruise held from 23 to 25 November 2021 and includes all navigation, meteorological and surface hydrography parameters.The data were not calibrated against independent measures but was quality controlled for the presence of outliers, anomalous and impossible values. Data are made available at a 1minute resolution, following the international conventions agreed for this type of data.
Plankton community in WP2 net (200µm), Point B, Villefranche-sur-Mer, France

This series is part of the long term planktonic monitoring of Villefranche-sur-mer, which is one of the oldest and richest in the world. It aims at describing the dynamics of the mesozooplankton community. The data collection and processing has been funded by several projects over its lifetime. It is currently supported directly by the Institut de la Mer de Villefranche (IMEV), as part of its long term monitoring effort. This dataset contains the planktonic organisms collected by a WP2 net (200μm mesh) and therefore cover organisms from 200µm to ~2cm.
WP2 net (200μm mesh) hauled vertically from the bottom (~80m) to the surface, in the morning and afternoon of the same day.
Sample preserved in 4% buffered formalin and stored over the long term at the Centre de Collections Planctoniques de Villefranche (CCPv).
Sample scanned on a ZooScan, images processed with ZooProcess and sorted taxonomically on EcoTaxa, within the Plateforme d'Imagerie Quantitative de Villefranche (PIQv).
The PIQv and CCPv platforms are part of EMBRC-France, a national Research Infrastructure supported by ANR, under the reference ANR-10-INSB-02.
GENIALG - WP6.1 Species Dataset-longlines

List of macroinvertebrate taxa found in Sacharina latissima and Alaria esculenta cultivated on longlines. Objectives within WP6 of GENIALG: assessing the biodiversity associated with cultivated seaweed. Location of seaweed farm: Ventry Harbour, Ireland. Dataset consists of macroinvertebrate taxa identified and enumerated from 25 cm replicate seaweed samples removed from the longlines. The samples were collected at seven different time points along the growing season in 2018 and 2019. Samples collected as part of the GENIALG project (project ID: 
727892, GENIALG - GENetic diversity exploitation for Innovative Macro-ALGal biorefinery, http://genialgproject.eu/). GENIALG was funded by the European Union Horizon2020 programme. The remit of the work was assessing the environmental footprint and ecosystem services provided by seaweed aquaculture in Europe to provide best practice advice to industry.