AndreaBozzo/ceres-open-data-index huggingface dataset:
Marine mammal sightings in the Black Sea recorded by CeNoBS Aerial Expedition in 2019

Within the "Support MSFD implementation in the Black Sea through establishing a regional monitoring system of cetaceans (D1) and noise monitoring (D11) for achieving GES", financed by European Commission - No. 110661/2018/794677/SUB/ENV.C2, a dedicated aerial survey for marine mammals using distance line transect methods was performed in 2019 in territorial and EEZs of the six Black Sea riparian countries.
The action was planned to support the further implementation of Marine Strategy Framework Directive with providing a baseline for cetaceans.   The project was implemented with the involvement of the project partners and was coordinated by Mare Nostrum and ACCOBAMS Secretariat. For more detailed information on the dataset, including abundances estimates, please contact the project coordinator (marian_paiu@marenostrum.ro) and also access the webpage www.cenobs.eu.
North Sea Midwater Ring Net Herring Larvae Survey

The dataset includes information about spatial distribution and abundance of herring larvae in the North Sea based on the data from the MIK Herring Larvae Survey
The survey is also called for the "Midwater ring net survey". Survey‘s target species are herring and sprat in the North Sea. The survey is conducted annually together with the IBTS q1 survey. The group responsible for the survey design is IBTSWG.
Confidence in kinetic energy at the seabed due to waves in the Black Sea

Confidence in kinetic energy due to waves at the seabed in the Black Sea, created by the EMODnet Seabed Habitats project consortium using the ISPRA Mc-WAF operational tool.

Values are on a range from 1 (Low confidence) to 3 (High confidence).
The confidence assessment considered factors such as:
ÔÇó Quality of training data and methods used to construct the model.
ÔÇó Temporal resolution.
ÔÇó Spatial resolution

Detailed information on the confidence assessment in
Populus J. et al 2017. EUSeaMap, a European broad-scale seabed habitat map. Ifremer. http://doi.org/10.13155/49975
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).
SHARK - Phytoplankton monitoring of biotoxin producing harmful algal blooms since 2000

Biotoxin producing phytoplankton has been monitored in and around Swedish mussel and oyster farms on the Swedish west coast since 2000. The monitoring program was initiated and financed by the Swedish Food Agency. Monitoring is performed by the Swedish Meteorological and Hydrological Institute (SMHI). Dataare stored in the Swedish archive for oceanographic data (SHARK) database, curated by SMHI.
Phytoplankton constitute an important part of of the pelagic food webs. These organisms are primary producers (phytoplankton) and is the primary food source for zooplankton linking to higher trophic levels (zooplanktivorous fish and invertebrates). Biotoxin producing phytoplankton can harm animals, people or the local ecology in a number of differrent ways. This monitoring program is focused toward potentially harmful algae. Sampling provides information to describe species composition and spatial distribution of biotoxin producing phytoplankton abundance and biomass. Data is collected and analyzed according to the Helcom COMBINE Manual - Part C Annex C6 Phytoplankton (https://helcom.fi/wp-content/uploads/2020/01/HELCOM-Guidelines-for-monitoring-of-phytoplankton-species-composition-abundance-and-biomass.pdf) or similar methods. Seawater samples are collected with a hose that hangs vertically in the water and then sealed to gather a mixture of water (an integrated sample) from different depths. The phytoplankton in the water is preserved and species that are known to produce harmful toxins (HAB) are later counted and quantified in the microscope, e.g. harmful dinoflagelletes: Alexandrium spp., Dinophysis acuminata, Dinophysis acuta, Dinophysis norvegica, Dinophysis dens, Dinophysis rotundata, Azadinium spinosum, Protoceratium reticulatum and Lingulodinium polyedrum and the diatom Pseudo-nitzschia spp.
SHARK - Seal pathology monitoring using necropsy and histopathological findings of dead seals since 2008

Seal pathology using necropsy and histopathological findings of dead seals has been monitored in and around Swedish coasts since 2008. The monitoring program was initiated and financed by the Swedish Environmental Protection Agency. Monitoring is performed by the Swedish Museum of Natural History. Data are stored in the Swedish archive for oceanographic data (SHARK) database, curated by SMHI.
Seals constitute an important part of pelagic food webs as top predators and their health is essential for maintaining a good ecosystem balance. These organisms are at the highest trophic level and can be used as proxy for harmful substances since these compounds are stored in the body fat (adipose tissue) and organs of the animals. This monitoring program is focused toward determining the health status of seal populations via autopsies of animals that are collected and sent to the Swedish Museum of Natural History. In addition, the program is also aimed for finding and measuring potentially harmful substances in biota. Sampling provides information to describe the cause of death among seals. Data are collected and analyzed according to methods described by the Swedish Environmental Protection Agency (http://www.naturvardsverket.se/upload/stod-i-miljoarbetet/vagledning/miljoovervakning/handledning/metoder/undersokningstyper/kust-hav/patologi-hos-grasal-vikare-sal-och-knubbsal-ver-1-1-2014-03-19.pdf). If the exact position of the findings are not known, the position will be stored as the county town of the county in which the seal was found.
Occurrence of Eukaryotes in the size fraction 20-180 micrometres, collected worldwide during the Tara Oceans expedition (2009-2013) using a ring net and analysed by inverted light microscopy.

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.
Occurrence of Eukaryotes in the size fraction 20-180 micrometres, collected worldwide during the Tara Oceans expedition (2009-2013) using a ring net and analysed with a FlowCam 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.
Occurrence of Eukaryotes in the size fraction 20-180 micrometres, collected worldwide during the Tara Oceans expedition (2009-2013) using a ring net and analysed with a FlowCam 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
Occurrence of Prokaryotes and Eukaryotes in the size fraction

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.
Areas where ice concentration is more than 20% in the Barents Sea (mean over 1 year)

Shapefile showing areas where ice concentration in the Barents Sea in 2018 was on average more than 20%. The 20% threshold was derived from WMO ice classification and corresponds to "Very open drift ice". Data averaged by Ifremer and NIVA derived from CMEMS (Copernicus) ice concentration product (resolution 1km, temporal resolution 1 year- 2018).

Used in EUSeaMap 2019 as a proxy for the polar front affecting distribution of seabed habitats.

Created by the EMODnet Seabed Habitats project consortium.
Confidence in kinetic energy at the seabed due to waves - Celtic Sea - Channel - Bay of Biscay

Confidence in the 90th percentile Kinetic energy due to waves at the seabed in the Celtic Sea, Channel and Bay of Biscay.

Values are on a range from 1 (Low confidence) to 3 (High confidence).
The confidence assessment considered factors such as:
ÔÇó Quality of training data and methods used to construct the model.
ÔÇó Temporal resolution.
ÔÇó Spatial resolution

Detailed information on the confidence assessment in
Populus J. et al 2017. EUSeaMap, a European broad-scale seabed habitat map. Ifremer. http://doi.org/10.13155/49975
252_CNR-17-Parchi_HR

This dataset was collected during a survey within "Parchi Marini" Project of CNR aimed to seafloor characterization in potential protected marine areas. Bathymetric data were collected by means of the MBES system Simrad EM3000  that was pole-mounted on a 30 meters long vessel. The MBES has 127 beams and an operational frequency of 300 kHz. A 12 channel DGPS system was used for ship positioning and a motion sensor TSS-DMS02-05 was used to provide corrections for attitude data
Confidence in kinetic energy at the seabed due to waves - Iberian peninsula, Macaronesia, western Med

Confidence in kinetic energy due to currents at the seabed in the Iberian peninsula, 
created by the EMODnet Seabed Habitats project consortium using E.U. Copernicus Marine Service Information.

Values are on a range from 1 (Low confidence) to 3 (High confidence).
The confidence assessment considered factors such as:
ÔÇó Quality of training data and methods used to construct the model.
ÔÇó Temporal resolution.
ÔÇó Spatial resolution

Detailed information on the confidence assessment in
Populus J. et al 2017. EUSeaMap, a European broad-scale seabed habitat map. Ifremer. http://doi.org/10.13155/49975
Confidence in kinetic energy at the seabed due to waves - Macaronesia

Confidence in kinetic energy due to waves at the seabed in Macaronesia, 

Values are on a range from 1 (Low confidence) to 3 (High confidence).
The confidence assessment considered factors such as:
ÔÇó Quality of training data and methods used to construct the model.
ÔÇó Temporal resolution.
ÔÇó Spatial resolution

Detailed information on the confidence assessment in
Populus J. et al 2017. EUSeaMap, a European broad-scale seabed habitat map. Ifremer. http://doi.org/10.13155/49975
Cartes morphos├®dimentaires du secteur Fr├®hel - Roth├®neuf (Source Bonnot-Courtois C. et al., 1984-1994) - Echelle : 1/10000 ├á 1/25000

Ces cartes morphos├®dimentaires du secteur Fr├®hel-Roth├®neuf sont une compilation de cartes morpho-s├®dimentaires sur le secteur compris entre la baie de La Fresnaye (au sud du Cap Fr├®hel) et Roth├®neuf (Pointe du Meinga).
Elle est le r├®sultat du traitement, de l'analyse et de l'agr├®gation de donn├®es d'origines multiples issues de travaux universitaires (Dipl├┤mes d'├®tudes sup├®rieures, m├®moires de ma├«trises, th├¿ses) r├®alis├®s entre 1984 et 1994. Ces cartographies de la zone intertidale ont ├®t├® ├®labor├®es ├á partir de l'analyse des photographies a├®riennes, coupl├®e ├á des campagnes de validation (├®chantillonnages s├®dimentologiques, observations g├®omorphologiques) sur le terrain.
90th percentile kinetic energy at the seabed due to waves in the Mediterranean Sea and Black Sea

90th percentile Kinetic Energy due to waves at the seabed in the Mediterranean Sea and Black Sea in N m2/s - Created for the EMODnet Seabed Habitats broad-scale habitat map (EUSeaMap 2016). 

90th percentile Kinetic Energy due to waves at the seabed in the Mediterranean Sea and Black Sea  - Created for the EMODnet Seabed Habitats broad-scale habitat map (EUSeaMap 2016). 

This dataset is a raster composite of the outputs of several models, created for display in the EMODnet Seabed Habitats portal.   
The ISPRA Mc-WAF operational tool, designed to merge different scales for the generation and propagation of the wave energy, was used in the Mediterranean Sea (4km resolution) and the Adriatic Sea (1.6km), run for the years 2012-2015. 
In the Black sea the data was derived from the Kassandra project (variable resolution, years 2012-2014).

Each dataset is available separately.
Global temperature anomaly from 30 years avarage baseline

EMODnet Physics - TEAN_003 - Temperature anomalies calculated over baseline averages of 30 years. This product provides the difference of a yearly average temperature from the average of the baseline period. The product is based on the Coriolis Ocean database for ReAnalysis (CORA) v.5.2. (only surface data), developed by IFREMER for CMEMS.
540_composite_DTM_1-64_Canyon

The DTM is a compilation of multibeam echosounder surveys acquired in 2013. The resolution is 1/64 arc-minutes (~30m). Surveys are located on the Capbreton Submarine Canyon (France) with depths from -4.7m to -344.9m. Depths are referenced to the Lowest Astronomical Tide and the coordinates are expressed into the WGS84 reference frame. The surveys which compose the DTM are S201306500-09 and S201306500-11. Data and metadata associated to these surveys are available on the website http://diffusion.shom.fr/pro/lots-bathy.html. The DTM is not to be used for navigation.
540_composite_DTM_1-64_Armor

The DTM is a compilation of multibeam echosounder surveys acquired between 2005 and 2013. The resolution is 1/64 arc-minutes (~30m). Surveys are located near the Côtes d’Armor coasts (France) with depths from -1.4m to -70.6m. Depths are referenced to the Lowest Astronomical Tide and the coordinates are expressed into the WGS84 reference frame. The surveys which compose the DTM are S200601400-1, S200607200-1, S200608000-1, S200701700-1, S200701700-2, S200701700-3, S200704400-1, S200800800-1, S200902800-1, S200907000-1, S201010500-1, S201202400-1, S201209200-1, S201209200-2, S201209200-3, S201209200-4, S201306700-1, and S201306700-2. Data and metadata associated to these surveys are available on the website http://diffusion.shom.fr/pro/lots-bathy.html. The DTM is not to be used for navigation.
540_composite_DTM_1-128_Manche

The DTM is a compilation of multibeam echosounder surveys acquired between 2012 and 2015. The resolution is 1/128 arc-minutes (~15m). Surveys are located between La Hague and Carteret (France) with depths from 5.6m to -93.9m. Depths are referenced to the Lowest Astronomical Tide and the coordinates are expressed into the WGS84 reference frame. The surveys which compose the DTM are S201206100-1, S201206100-2, S201304800-1, S201304900-01, S201304900-02, S201304900-03, S201304900-04, S201304900-05, S201304900-06, S201304900-07, S201304900-08, S201304900-09, S201304900-10, S201304900-11, S201400800-1, S201400800-2, S201502700-1, S201502700-2 and S201502700-3. Data and metadata associated to these surveys are available on the website http://diffusion.shom.fr/pro/lots-bathy.html. The DTM is not to be used for navigation.
540_DTM_1-64_S201306500-02

The DTM is produced from the S201306500-02 multibeam echosounder survey, acquired in 2012. The resolution is 1/64 arc-minutes (~30m).  It is located off the Brittany coasts (France) with depths from -92.2m to -122m. Depths are referenced to the Lowest Astronomical Tide and the coordinates are expressed into the WGS84 reference frame. Data and metadata associated to the survey are available on the website http://diffusion.shom.fr/pro/lots-bathy.html. The DTM is not to be used for navigation.
540_DTM_1-256_S201202300-1

The DTM is produced from the S201202300-1 multibeam echosounder survey, acquired in 2012. The resolution is 1/256 arc-minutes (~8m).  It is located in front of Dunkirk (France) with depths from -13.9m to -40.6m. Depths are referenced to the Lowest Astronomical Tide and the coordinates are expressed into the WGS84 reference frame. Data and metadata associated to the survey are available on the website http://diffusion.shom.fr/pro/lots-bathy.html. The DTM is not to be used for navigation.
540_DTM_1-1024_S201502800-1

The DTM is produced from the S201502800-1 multibeam echosounder survey, acquired in 2015. The resolution is 1/1024 arc-minutes (~4m).  It is located in front of Dunkirk (France) with depths from -16.4m to -43.3m. Depths are referenced to the Lowest Astronomical Tide and the coordinates are expressed into the WGS84 reference frame. Data and metadata associated to the survey are available on the website http://diffusion.shom.fr/pro/lots-bathy.html. The DTM is not to be used for navigation.
43_HRDTM Bathymetric grid generated from multibeam bathymetry data collected during cruise JC071

This data set consists of a bathymetric grid derived from multibeam bathymetry data from cruise JC071. The bathymetric grid was created by gridding cleaned raw multibeam data from JC071 at 1/64 arc-minute intervals. The data set covers an approximate one degree square with the minimum and maximum longitude and latitude co-ordinates: 17.016667W-16.216667W; 48.78333N-49.28333N. This is located in the Northeast Atlantic Ocean area. The data were collected from 7th-8th May 2012 using an EM120 Multibeam Echo-sounder. The cruise was part of the Porcupine Abyssal Plain (PAP): sustained ocean observation project. The bathymetry data were collected on an opportunistic basis during the cruise. The cruise was operated by the National Oceanography Centre (NOC), equipment operated by National Marine Facilities Sea Systems. The bathymetric grid was created by BODC for contributing to the EMODnet HRSM Project.
4036 HRDTM 1/128 Ridge Cumecs

The data were acquired with a Simrad EM710 Multi Beam echosounder onboard the R/V Urania in order to cover the outer Malta Plateau and upper Malta Escarpment for a geological survey in the framework of EU FP7 project EUROFLEETS. The data were published in: Micallef, A., Georgiopoulou, A., Le Bas, T., Mountjoy, J.J., Huvenne, V., Lo Iacono, C., 2013. The Malta-Sicily Escarpment: Mass Movement dynamics in a sediment-undersupplied margin, in: Krastel, S., Berhmann, J.H., Volker, D., Stipp, M., Berndt, C., Urgeles, R., Chaytor, J.D., Huhn, K., Strasser, M., Harbitz, C.B. (Eds.), Submarine Mass Movements and Their Consequences. Springer International Publishing, Switzerland, pp. 317-328.
4036 HRDTM 1/128 Landslide Cumecs

The data were acquired with a Simrad EM710 Multi Beam echosounder onboard the R/V Urania in order to cover the outer Malta Plateau and upper Malta Escarpment for a geological survey in the framework of EU FP7 project EUROFLEETS. The data were published in: Micallef, A., Georgiopoulou, A., Le Bas, T., Mountjoy, J.J., Huvenne, V., Lo Iacono, C., 2013. The Malta-Sicily Escarpment: Mass Movement dynamics in a sediment-undersupplied margin, in: Krastel, S., Berhmann, J.H., Volker, D., Stipp, M., Berndt, C., Urgeles, R., Chaytor, J.D., Huhn, K., Strasser, M., Harbitz, C.B. (Eds.), Submarine Mass Movements and Their Consequences. Springer International Publishing, Switzerland, pp. 317-328.
4036 HRDTM 1/128 Depression Cumecs

The data were acquired with a Simrad EM710 Multi Beam echosounder onboard the R/V Urania in order to cover the outer Malta Plateau and upper Malta Escarpment for a geological survey in the framework of EU FP7 project EUROFLEETS. The data were published in: Micallef, A., Georgiopoulou, A., Le Bas, T., Mountjoy, J.J., Huvenne, V., Lo Iacono, C., 2013. The Malta-Sicily Escarpment: Mass Movement dynamics in a sediment-undersupplied margin, in: Krastel, S., Berhmann, J.H., Volker, D., Stipp, M., Berndt, C., Urgeles, R., Chaytor, J.D., Huhn, K., Strasser, M., Harbitz, C.B. (Eds.), Submarine Mass Movements and Their Consequences. Springer International Publishing, Switzerland, pp. 317-328.