AndreaBozzo/ceres-open-data-index huggingface dataset:
TCE Marine Aggregate Agreements and Subsurface Mine Leases

Two data sets are included:
1. This dataset shows the location of current Marine Aggregate Agreements issued on Crown Estate owned seabed. The five types of agreement are; Production Agreement, Option Area, Licence Option Area, Exploration and Option Area and Application and can be categorised by the Type column. Layers supplied by The Crown Estate are designed to show the locations detailed in The Crown Estate legal agreements. This means that these may include historical topological inconsistencies that will be reviewed and amended in the future as aggregate areas are subject to relicensing or expiry.

2. This dataset shows the location of current Subsurface Mine Leases and Option agreements on Crown Estate owned seabed. This dataset has 3 attributes; Name, Company and Type. Layers supplied by The Crown Estate are designed to show the legal locations detailed in The Crown Estate legal agreements. This means that these may include topological inconsistencies that will be reviewed and amended in the future.
EMODnet Digital Bathymetry (DTM 2022) - Tile E6

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.
Benthic biodiversity cruise in the Bay of Brest in October 2016

The dataset is a taxonomic description of the epibenthic communities associated to Crepidula fornicata habitats. Data are High-Definition videos and photos recorded with a recently developed towed video system (called Pagure-2). 27 videos profiles and ~1300 photos (~50 photos per profiles) have been recorded. The quality of the data is not homogeneous since the cruise was planned first to test the video system at sea and to do technical tuning. Data were obtained on several Crepidula beds differing in terms of Crepidula density/biomass and Crepidula vitality (alive/dead beds).
Sampling in the framework of Jerico-Next JRAP2
NIOZ Eems Dollard Macrozoobenthos

Within the framework of the programme Biological Research Ems-Dollard Estuary (BOEDE) inventories were made of the Ems-Dollard estuary during the period 1974 – 1979. Samples were collected in both intertidal and more deeper subtidal and gully areas.
Sampling in the intertidal was done during both low and high tider. Low tide sampling followed the procedure of the Balgzand sampling: cores were taken up to 30 cm depth and sieved in the field over a 1 mm sieve. High tide sampling was done with a specially designed flushing sampler (Van Arkel - Mulder, 1975; Neth. J. Sea Res. 9, 365-370.; Mulder - Van Arkel, 1980; Neth. J. Sea Res. 14, 119-122.). Sampling of subtidal and gully was done from a research vessel with a standard Van Veen grab-sampler. The first inventory took place in 1974-1975 and it was repeated in 1978 and 1979. Information has been published in Van Arkel - Mulder (1979, 1982), Anon (1983) and Baretta - Ruardy (1988). Recently, intertidal benthos during the period 1974-1979 was compared with the present situation by Compton et al. (2017; J. Sea Res. 126).
Benthic fauna in the Pechora Sea

Benthic fauna in the Pechora Sea was mapped in July 1992 by Akvaplan-niva
Quantitative samples of benthic fauna were collected at 15 stations for analysis of species distribution and faunal composition. Multivariate statistics indicate that the sampling stations cover a heterogeneous area with different types of community composition, as might be expected, since the Pechora Sea encompasses a wide range of depths and oceanographic conditions. However, some distinct station groupings were evident, which are considered to represent different faunal community types. Around the Island of Kolguyev, the fauna was dominated by sub-surface detritivorous Polychaeta. On the coast of Novaya Zemlya, the Chernaya Fjord contained an opportunistic faunal composition. The deep area immediately south of Novaya Zemlya was characterised by high numbers of large, surface deposit feeding Polychaeta. The Kara Strait area showed some spatial variation in faunal characteristics, but generally contained high numbers of surface deposit feeding Polychaeta and Crustacea, as well as encrusting suspensivores on stones. The stations sampled between Kolguyev and the Pechora Bay contained large amounts of macrofaunal Foraminifera and detritivorous Polychaeta, while the fauna sampled in the Pechora Bay was typical of northern, low salinity environments. Canonical correspondence analyses indicate that water depth and sediment type play a major role in structuring the benthic fauna. The distribution of community types described in this investigation largely follow those outlined in previous Russian investigations, despite the use of different analytical strategies. This investigation provides the background for an intercomparison of methodologies in faunal analyses. (source: http://www.iobis.org/OBISWEB/ObisMeta.jsp?sourceID=40)
2012/1: Cromarty Firth: 1/128

This British Geological Survey (BGS) marine geophysical and multibeam survey took place in January/Febuary 2012 in the area of the Moray Firth on board the RV White Ribbon. The purpose was to enable  BGS to reconstruct the glacial history of the areas and place it in the wider context of the dynamics of the British Ice Sheet.  Sea floor bathymetry data were collected using a Kongsberg EM3002D multibeam system.
Bottlenose dolphins in Slovenian and adjacent waters in 2002-2008

Between 2002 and 2008, a local population of bottlenose dolphins (Tursiops truncatus) in Slovenian and adjacent waters was studied using boat-based surveys, land-based surveys and standard photo-identification procedures.
This dataset comprises the work carried out by Morigenos in Slovenian and adjacent waters of the north Adriatic Sea, between 2002 and 2008. A local population of bottlenose dolphins (Tursiops truncatus) in Slovenian and adjacent waters was studied using boat-based surveys, land-based surveys and standard photo-identification procedures. A total of 120 sightings were recorded and 101 well-marked dolphins photo-identified. Resighting rates within and between years showed a relatively high rate of site fidelity for some individuals. The group size ranged from 1 to 43. Offspring were present in 53.3% of the groups. Annual mark-recapture density estimates of 0.069 dolphins/km2 seem to be good baseline information for conservation management.

Research in the territorial sea of the Republic of Slovenia has been carried out by Morigenos under the permit issued by the Ministry of Environment and Spatial Planning of the Republic of Slovenia, numbers 35701-2/2004 and 35701-67/2004. Research in the territorial sea of the Republic of Croatia has been carried out by Morigenos, in cooperation with the Blue World Institute of Marine Research and Conservation, under the permit issued by the Ministry of Culture of the Republic of Croatia, numbers UP/I 612-07/04-33/247, UP/I-612-07/06-33/984 and UP/I-612-07/08-33/024.

Morigenos - marine mammal research and conservation society is an independent, non-profit and non-governmental organization, dedicated to the research and protection of cetaceans (whales, dolphins and porpoises) and conservation of the marine environment. The organization was founded in 2001 and is carrying out several projects in the field of scientific research, education, public awareness and conservation. Slovenian Dolphin Project - the research and conservation of bottlenose dolphins (Tursiops truncatus) in Slovenian and adjacent waters - is the main project of Morigenos. Morigenos has been studying and following these dolphins since 2002. As a result, a previously unknown local resident population of bottlenose dolphins in the area was identified and documented. 

The day part of the observation date is masked, replaced with 01. Accuracy of the group size differs row by row. The accuracy is found in count_acc field, which may be obtained upon permission from the provider. If the group size is not available (NA), the size is shown as a 0.
Comparative study of the meiobenthos in the Arctic region in 1991

Study on meiobenthos and nematode communities (counts, density, biomass, genus composition) collected in the Arctic Ocean in August and September 1991. The data were digitized by VLIZ from the original report: Jivaluk, J. (1993). Comparative study of the meiobenthos in the Arctic region. MSc Thesis. RUG: Gent. 135 pp.
The meiofauna and nematode communities have been studied in multiple corer samples collected from seven stations in the Arctic Ocean (the Lomonosov Ridge, the Amundsen Basin and the Morris Jesup Rise). Samples were taken at depths ranging between 1072-4273 m using different mesh sizes. Most of the animals are found in the uppermost centimeter of the sediment and their densities decrease with increasing depth into the sediment. The nematode communities are dominated by species of the families Monhysteridae, Linhomoeidae, Chromadoridae and Leptolaimidae. Monhystera has the highest density followed by Metalinhomoeus, Leptolaimus and Acantholaimus. Most of the nematodes which are retained on the 125 and 250 µm mesh are adults. At the smaller mesh (32 and 63 µm) the number of adult increases with increasing water depth.
EMODnet Human Activities, Waste Disposal, Waste at Ports

The database on waste at ports in the EU was created in 2018 by CETMAR using the Ports 2013 data available in Eurostat web page (http://ec.europa.eu/eurostat/web/main/home). It is the result of the aggregation and harmonization of datasets provided by several sources from all across the EU and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). Following the MARPOL Convention waste at ports have been reported by Ports indistincly in cubic meters (m3) and/or in tonnes (t) and classified as oily waste (Annex I), garbage (Annex V), sewage (Annex IV), harbour waste (garbage) and total amount*. These datasets include annual data when available and are updated in the following countries: Croatia, Denmark, Estonia, Finland, France, Greece, Italy, Latvia, Malta, Netherlands, Portugal, Romania, Spain and Sweden. *Total amount only report the sum of available values for each of the given units (m3 or tonnes).
EMODnet Digital Bathymetry (DTM 2024) - Tile C5

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.
The GEBCO_2014 Grid

The GEBCO_2014 Grid is classified as a historical Gebco dataset with a spatial resolution of 30 arc seconds. 

Originally published in 2014, last updated in April 2015. The data set is largely based on a database of ship-track soundings with interpolation between soundings guided by satellite-derived gravity data. Where they improve on this model, data sets generated from other methods are included.

The grid is accompanied by a Source Identifier Grid (SID). This indicates if the corresponding cells in the GEBCO_2014 Grid are based on soundings, pre-generated grids or interpolation.
Marine Productivity programme cruise DI258 -  Microzooplankton taxonomic data (CTD and Ocean Sampler)

This dataset contains microzooplankton abundance data from CTD and Ocean Sampler (OS) deployments during the Marine Productivity programme cruise DI258 to the northern North Atlantic in November - December 2001. Samples from the CTD and from all bottles of the OS were collected and preserved in 10% Lugol-#039;s iodine for microzooplankton analysis onshore. All species are placed into size categories and into taxonomic groupings. Abundance and biomass data are included.
Xenophyophores distribution data from: Deep-sea fauna of European seas - an annotated species check-list of benthic invertebrates living deeper than 2000 m in the seas bordering Europe

An annotated check-list is given of Xenophyophores species occurring deeper than 2000 m in the seas bordering Europe.
The check-list is based on published data. The check-list includes 16 species. For each species synonymy, data on localities in European seas and general species distribution are provided. Station data are presented separately in the present thematic issue.
Baltic Sea - DIVA 4D 6-year analysis of Water body ammonium 1980/2016 v2018

Moving 6-year analysis of Water body ammonium in the Baltic Sea. Four seasons (March-May, June-August, September-November, December-February). Every year of the time dimension corresponds to the 6-year centred average. Periods span between 1980-1985 and 2011-2016. Analyses for depths (m) (HELCOM standard depths): 0, 5, 10, 15, 20, 30, 40, 50, 60, 70, 80, 90, 100, 125, 150, 175, 200, 225, 250, 275, 300. 
Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. Description of DIVA analysis: Geostatistical data analysis by DIVA (Data-Interpolating Variational Analysis) tool. GEBCO_08 Grid (30 arc-seconds) topography is used for the contouring preparation. Files contain analysed fields, error fields and combined field with the deepest value for each grid point selected. Also pre-masked fields using relative error threshold 0.3 and 0.5 are included. In the analyses the Correlation length and Signal to noise ratio were fixed to 0.7 and 1.0 respectively. Background fields were created using all data (1980-2016) for the given season. Log transformation (option 11) was used in the analyses. No detrending, advection constraints or weighting are applied. Unit is umol/l.
Micro litter - Type of litter per net - Other specific protocols 2011/2021 v2023

This visualization product displays the type of litter in percent per net per year from specific protocols different 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 a very specific protocol such as the Volvo Ocean Race (VOR) or Oceaneye.

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.
EMODnet Digital Bathymetry (DTM 2024)

The "EMODnet Digital Bathymetry (DTM)- 2024" is a multilayer bathymetric product for Europe’s sea and oversea 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
and the Caribbean Sea.

The DTM is based upon 22063 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 from 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 icontains > 41.000 survey 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, RGB 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.