AndreaBozzo/ceres-open-data-index huggingface dataset:
Habitat suitability reef-forming species in the North Sea

Due to fishing and other human activities, reef forming species have almost completely disappeared over roughly the past century. They are important structures that accommodate juvenile fish and other small organisms. For protection of areas where such reefs could possibly be reintroduced, it is important to define areas that are suitable habitats. This product aims to classify areas in the North Sea based on current occurrence in combination with environmental variables that are particularly suitable for these organisms.
Environmental information is needed as a basis for species distribution models. For this project, we rely heavily on a recent compilation of North Sea wide environmental information by van der Reijden et al. (2018). These authors have compiled their datasets on bathymetry, grain size distribution, temperature and salinity from diverse literature sources. They have made their data available in the form of geo-tiff files, that we have downloaded for use in the present project. In the files, there is also information on bottom shear stress, but this is based on a rather coarse model. We have replaced it with results of the Deltares DCSM-FM model for the greater North Sea. The datasets used are listed in Table II. Sources of the data are van der Reijden et al. (2018) for fisheries and calculations of 'Bathymetric Position Index' values based on bathymetry, Stephens (2015) for grain size data, Copernicus marine services (www.marine.copernicus.eu) for salinity and temperature, EMODnet bathymetry (http://portal.emodnet-bathymetry.eu/)) for basic bathymetry, Deltares for bottom shear stress calculated with DCSM-FM.The 'BPI' (Bathymetric position index) calculates for each point, the difference of the depth of the point with the average depth of the surrounding area, where the surrounding area is a circle with a fixed radius. BPI5 uses 5 km as a radius for the surroundings, and similar for the other BPI variables. van der Reijden et al. (2018) also define a weighted average BPI, but we did not use that in our analysis.Temperature difference is a measure for the change in temperature between 2008 and 2013. This is not distributed homogeneously over the North Sea. Atlantic water has warmed very little, whereas the North Sea has been warming considerably over the past decades. Consequently, the largest temperature differences are seen in the eastern and north-eastern parts of the North Sea.No temporal (e.g. seasonal) variance of salinity and temperature has been used in the present study. It is known that variation of these variables is often very important in estuarine conditions. However, in the North Sea the ranges are much more limited. It is unlikely that any of these parameters would fall outside of the tolerance of the species, with the probable exception of temperature for the boreal species Modiolus modiolus. However, also mean temperature appeared to be a very useful variable in predicting the range of this species, and obviously there is a tight correlation between mean temperature and yearly temperature range in the North Sea.
2918_51_Toscana9_Argentario_FD

The data have been acquired with a SeaBat RESON 8125 (455kHz) e Seabat RESON 8160 (50 kHz) multibeam echosounders mounted on board of the research vessel "Universitatis" (chief scientist F.L. Chiocci; party chief F. Falese). The main objective of this cruise was the search of relict sand deposits potentially exploitable for beach nourishment on these continental shelves. Weather conditions were good during the acquisition.
239_DTM_Conisma-Uniroma-19_Ionian

The data have been acquired with a Seabat 8101 (240 kHz) multibeam echosounder mounted on board of a little boat (chief scientist F.L. Chiocci; party chief A. Bosman). The main objective of the cruise was the recognition of the submarine hazard features placed offshore the Cirò Marina-Punta Alice (Ionic Calabrian Coast).
366_HRDTM_14m_CelticSea_Ireland_Cork_BantryDunmanus

This composite Digital Terrain Model (cDTM) is a high resolution bathymetry dataset highlighting measurement of depth of water in the ocean. This cDTM covers the Celtic Sea around Bantry and Dunmanus Bays off the coast of County Cork in Ireland. The EMODnet high resolution DTM covers bathymetry surveys completed between 2002 and 2016. Bathymetric data collected on board research vessels using multi-beam and single-beam echosounder instrumentation. Raw bathymetry processed within CARIS software to produce bathymetry products subsequently converted to NetCDF cDTM for EMODnet. Acquisition, processing and product delivery follows IHO standard s44 Edition 5. cDTM is composed of eight (8) images “merged simply” using GLOBE software. INFOMAR (Integrated Mapping for the Sustainable Development of Ireland’s Marine Resource) is a twenty year programme to map the physical, chemical and biological features of Ireland’s seabed established in 2006. INFOMAR is funded by the Department of Communications, Climate Action and Environment (DCCAE), and delivered by joint management partners Geological Survey Ireland and the Marine Institute. The programme is the successor to the Irish National Seabed Survey (INSS) which ran between 1999 and 2005. INFOMAR concentrates on creating integrated mapping products related to the seabed.
2015/1 : Northern area of Loch Long: 1/128

This marine multibeam and geophysical survey took place from 09/02/2015  – 18/02/2015 in the northern area of Loch Long on board the RV White Ribbon. The survey was carried out by the British Geological Survey (BGS). Bathymetric data on MV White Ribbon was acquired using a Kongsberg EM3002D multibeam echosounder system. Kongsberg Seafloor Information System (SIS) version 3.9.2 (build 187) was used for online data logging. A Trimble SPS461 and a Kongsberg Seatex Seapath 200 provided vessel position, heading and attitude. Offline data processing was performed using CARIS HIPS version 8.1.5.
3288_Mineplat_HR_A - Alentejo shelf - 7m res.

High resolution (1/256  minute ~ 7m)  bathymetry dataset from the Mineplat 3 cruise onboard IPMA RV Noruega. Portugal southern continental shelf, off Alentejo coast,  8 to 20 June, 2018. Depths between 80 and 160m. High resolution multichannel  seismics and magnetic data acquisition performed during the daytime and multibeam mapping 24h/24h, with a Reson T50-P multibeam echosounder.  
Depths are referenced to the Portuguese Chart Datum (2m below MSL), horizontal coordinates in the WGS84 reference frame. Position and attitude data (GNSS+Inertial via Applanix OceanMaster POSMV) was pos-processed with POSPAC.
543_fgmg-2018-Kratere-celle04

Dataset located in the Barents Sea. A survey from seabed mapping within the MAREANO programme, a collaboration between the Institute of Marine Research, the Geological Survey of Norway and the Norwegian Mapping Authority, Hydrographic Service. MAREANO maps depth and bathymetry, sediment composition, biodiversity, habitats and biotopes, and also pollution in the seabed within Norwegian offshore areas.
543_fgmg-2020-TR_TF2-NS05-celle001

Dataset located on Spitsbergenbanken, a survey from seabed mapping within the MAREANO programme, a collaboration between the Institute of Marine Research, the Geological Survey of Norway and the Norwegian Mapping Authority, Hydrographic Service. MAREANO maps depth and bathymetry, sediment composition, biodiversity, habitats and biotopes, and also pollution in the seabed within Norwegian offshore areas.
366_HRDTM_14m_CelticSea_2022

This composite Digital Terrain Model (cDTM) is a high resolution bathymetry dataset highlighting measurement of depth of water in the ocean. This cDTM covers the Celtic Sea off the coast of South West County Cork in Ireland. The EMODnet high resolution DTM covers bathymetry surveys completed between 2021 and 2022. Bathymetric data collected on board research vessels using multi-beam and single-beam echosounder instrumentation. Raw bathymetry processed within CARIS software to produce bathymetry products subsequently converted to NetCDF cDTM for EMODnet. Acquisition, processing and product delivery follows IHO standard s44 Edition 5. cDTM is composed of two (2) images “merged simply” using GLOBE software. INFOMAR (Integrated Mapping for the Sustainable Development of Ireland’s Marine Resource) is a twenty year programme to map the physical, chemical and biological features of Ireland’s seabed established in 2006. INFOMAR is funded by the Department of Communications, Climate Action and Environment (DCCAE), and delivered by joint management partners Geological Survey Ireland and the Marine Institute. The programme is the successor to the Irish National Seabed Survey (INSS) which ran between 1999 and 2005. INFOMAR concentrates on creating integrated mapping products related to the seabed.
Global predicted thermal distributions for intertidal macroalgae

This dataset contains the geographic projections of the modeled thermal distribution of intertidal macroalgae. Two variables are included: Habitat suitability maps and its derived binary distribution.This is part of an intermediate step of the CTI methodology and these distributions will be used to estimate the  Community Temperature Index for the communities product, which includes cover date of intertidal macroalgae along the coast of NW Spain.
239_DTM_Conisma-Unicagliari-3_Tyrrhenian

The data have been acquired with a Seabat 8160 (50 kHz) multibeam echosounder mounted on board of the CoNISMa research vessel "Universitatis" (chief scientist Paolo E. Orrù; party chief Paolo E. Orrù). The main objective of this cruise was to study the instability processes along continental margins of South Sardinia (Sardinia channel).
239_DTM_Conisma-Unicagliari-4_Tyrrhenian

The data have been acquired with a Seabat 8160 (50 kHz) multibeam echosounder mounted on board of the CoNISMa research vessel "Universitatis" (chief scientist Paolo E. Orrù; party chief Paolo E. Orrù). The main objective of this cruise was to study the instability processes along continental margins of South Sardinia (Sardinia channel).
2918_DTM_CNR-IGAG-3_CS_Tyrrhenian

The data have been acquired, during the research cruise Eleonora, with a Seabat 8160 (50 kHz) multibeam echosounder mounted on board of the CNR research vessel "Urania" (chief scientist G. Cavarretta; party chief F.L. Chiocci). The main objective of this cruise was to study the instability processes along the insular volcanic edifices (Pontine, Campanian and Eolian Archipelago).
3288_Mineplat_HR_B - Alentejo shelf - paleo-channels - 4m res.

High resolution (1/448 minute ~ 4m) composite bathymetry dataset from the Mineplat 3 and Mineplat 4 cruises onboard IPMA RV Noruega. Portugal southern continental shelf, off Alentejo coast, 8 to 20 June 2018 and 24 March to 4 April 2019. Depths between 20 and 115m.  During Mineplat 3 cruise  high resolution multichannel seismics and magnetic data acquisition was performed during the daytime and multibeam mapping 24h/24h, with a Reson T50-P multibeam echosounder. Mineplat 4 cruise comprised seabed sediments sampling during daytime  and multibeam mapping during the night. Depths are referenced to the Portuguese Chart Datum (2m below MSL), horizontal coordinates in the WGS84 reference frame. Position and attitude data  (GNSS+Inertial via Applanix OceanMaster POSMV) was post-processed with POSPAC.
366_HRDTM_14m_IrishSea_SouthEastCoast

This composite Digital Terrain Model (cDTM) is a high resolution bathymetry dataset highlighting measurement of depth of water in the ocean. This cDTM covers the Irish Sea South East off the coasts of counties Wexford and Waterford in Ireland. The EMODnet high resolution DTM covers bathymetry surveys completed between 2002 and 2016. Bathymetric data collected on board research vessels using multi-beam and single-beam echosounder instrumentation. Raw bathymetry processed within CARIS software to produce bathymetry products subsequently converted to NetCDF cDTM for EMODnet. Acquisition, processing and product delivery follows IHO standard s44 Edition 5. cDTM is composed of three (3) images “merged simply” using GLOBE software. INFOMAR (Integrated Mapping for the Sustainable Development of Ireland’s Marine Resource) is a twenty year programme to map the physical, chemical and biological features of Ireland’s seabed established in 2006. INFOMAR is funded by the Department of Communications, Climate Action and Environment (DCCAE), and delivered by joint management partners Geological Survey Ireland and the Marine Institute. The programme is the successor to the Irish National Seabed Survey (INSS) which ran between 1999 and 2005. INFOMAR concentrates on creating integrated mapping products related to the seabed.
2917_CoNISMa_Uniroma1_27_AreaD_FD

The data have been acquired with a SeaBat RESON 7125 (frequency 450kHz and depth up to 150 m) multibeam echosounder mounted on board of the research vessel "Minerva 1" (party chief F. G. Falese) between 27 september and 5 october 2016. The main objective of this cruise was the search of relict sand deposits potentially exploitable for beach nourishment on these continental shelves. Weather and marine conditions were fair during the acquisition.
366_HRDTM_14m_CV16_CelticSea_Ireland

This composite Digital Terrain Model (cDTM) is a high resolution bathymetry dataset highlighting measurement of depth of water in the ocean. This cDTM covers the Celtic Sea off the coasts of counties Waterford and Cork in Ireland. The EMODnet high resolution DTM covers bathymetry surveys completed between 2002 and 2016. Bathymetric data collected on board research vessels using multi-beam and single-beam echosounder instrumentation. Raw bathymetry processed within CARIS software to produce bathymetry products subsequently converted to NetCDF cDTM for EMODnet. Acquisition, processing and product delivery follows IHO standard s44 Edition 5. cDTM is composed of five (5) images “merged simply” using GLOBE software. INFOMAR (Integrated Mapping for the Sustainable Development of Ireland’s Marine Resource) is a twenty year programme to map the physical, chemical and biological features of Ireland’s seabed established in 2006. INFOMAR is funded by the Department of Communications, Climate Action and Environment (DCCAE), and delivered by joint management partners Geological Survey Ireland and the Marine Institute. The programme is the successor to the Irish National Seabed Survey (INSS) which ran between 1999 and 2005. INFOMAR concentrates on creating integrated mapping products related to the seabed.
North Sea - DIVAnd 4D 6-year seasonal analysis of Water body dissolved oxygen concentration 1980/2020 v2021

Moving 6-year analysis and visualization of Water body dissolved oxygen concentration  in the North Sea, four seasons: winter (dec-feb), spring (mar-may), summer (jun-aug), autumn (sep-nov). Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. Description of DIVA analysis: Geostatistical data analysis by DIVAnd (Data-Interpolating Variational Analysis) tool, version 2.7.2. results were subjected to the minfield option in DIVAnd to avoid negative/underestimated values in the interpolated results; error threshold masks L1 (0.3) and L2 (0.5) are included as well as the unmasked field. The depth dimension allows visualizing the gridded field at various depths.
Northeast Atlantic Ocean - DIVAnd 4D seasonal 6-year average analysis of Water body silicate 1950/2021 v2023

Moving 6-year analysis of Water body silicate in the NorthEast Atlantic for each season:
 - winter: January-March,
 - spring: April-June,
 - summer: July-September,
 - autumn: October-December. 
Every year of the time dimension corresponds to the 6-year centred average of each season. 6-year periods span from 1950/1955 until 2016/2021. Observation data span from 1950 to 2021. 
Depth levels (IODE standard depths): [0.0, 5.0, 10.0, 20.0, 30.0, 40.0, 50.0, 75.0, 100.0, 125.0, 150.0, 200.0, 250.0, 300.0, 400.0, 500.0, 600.0, 700.0, 800.0, 900.0, 1000.0, 1100.0, 1200.0, 1300.0, 1400.0, 1500.0, 1750.0, 2000.0]. 
Data sources: observational data from SeaDataNet/EMODNet Chemistry Data Network. 
Descrption of DIVAnd analysis: the computation was done with DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.4, using GEBCO 30 sec topography for the spatial connectivity of water masses. The horizontal resolution of the produced DIVAnd maps is 0.1 degrees. Horizontal correlation length varies from 300km in open sea regions to 50km at the coast. Vertical correlation length is defined as twice the vertical resolution. Signal-to-noise ratio was fixed to 1 for vertical profiles and 0.1 for time series to account for the redundancy in the time series observations. A logarithmic transformation (DIVAnd.Anam.loglin) was applied to the data prior to the analysis to avoid unrealistic negative values. Background field: a vertically-filtered profile of the seasonal data mean value (including all years) is substracted from the data. 
Detrending of data: no, advection constraint applied: no. 
Units: umol/l.
North Sea - DIVAnd 4D 6-year seasonal analysis of Water body dissolved oxygen concentration 1980/2021 v2023

Moving 6-year analysis and visualization of Water body dissolved oxygen concentration in the North Sea. Four seasons (December-February, March-May, June-August, September-November). Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. Description of DIVA analysis: Geostatistical data analysis by DIVAnd (Data-Interpolating Variational Analysis) tool, version 2.7.9. results were subjected to the minfield option in DIVAnd to avoid negative/underestimated values in the interpolated results; error threshold masks L1 (0.3) and L2 (0.5) are included as well as the unmasked field. The depth dimension allows visualizing the gridded field at various depths.
EMODnet Chemistry Eutrophication - webODV products, v2021

webODV visualisations via WMS from the harmonized, standardized, validated data collections that EMODnet Chemistry is regularly producing and publishing for all European sea basins for eutrophication and contaminants. You can analyze, visualize, subset and download EMODnet Chemistry data using interactive webODV services. More information at: https://emodnet.ec.europa.eu/en/chemistry#chemistry-services
North Sea - DIVAnd 4D 6-year seasonal analysis of Water body dissolved inorganic nitrogen 1980/2021 v2023

Moving 6-year analysis and visualization of DIN in the North Sea. Four seasons (December-February, March-May, June-August, September-November). Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. Description of DIVA analysis: Geostatistical data analysis by DIVAnd (Data-Interpolating Variational Analysis) tool, version 2.7.9. results were subjected to the minfield option in DIVAnd to avoid negative/underestimated values in the interpolated results; error threshold masks L1 (0.3) and L2 (0.5) are included as well as the unmasked field. The depth dimension allows visualizing the gridded field at various depths.
Broadscale remote survey and mapping of the sublittoral habitats and biota of the Wash, and the Lincolnshire and the north Norfolk coasts - MNCR classification

Natural England (NE) is one of the UK's conservation agencies, advising the government about the conservation of wildlife, geology and wild places in England. NE has been involved with the UK Marine SACs (Special Areas of Conservation) project, including marine habitat mapping of candidate SACs in English waters.
Facies map of Hastings

Cefas is an Executive Agency of the UK Government's Department for Environment, Food and Rural Affairs (Defra). Cefas is an internationally renowned scientific research and advisory centre working in fisheries management, environmental protection and aquaculture. Cefas conducts environmental surveys which can be used to produce habitat maps. The Cefas website hosts iSEA (interactive spatial explorer and administrator), an interactive mapping server providing online access to environmental and fisheries data for the UK shelf and beyond.
Kinetic energy at the seabed due to waves in the Black Sea (mean of annual 90th percentile)

Kinetic energy due to waves at the seabed in the Black Sea, mean of annual 90th percentile values between 2016 and 2018 - Created using the ISPRA Mc-WAF operational tool, designed to merge different scales for the generation and propagation of the wave energy in the Mediterranean and Black Sea.

1/128 degree horizontal resolution.

Created by the EMODnet Seabed Habitats project consortium using the ISPRA Mc-WAF operational tool.
EPSG Geodetic Parameter Dataset

Multibeam echosounder data and seabed sampling data acquired during the 2011 MESH Atlantic survey were the primary sources of data used in the generation of this marine habitat map. Data on kinetic energy, derived from oceanographic models, and all of the interpreted survey data, were combined in a GIS environment and used to generate a EUNIS level 5 habitat map using the Maximum Likelihood Classification tool in ArcMap.
EPSG Geodetic Parameter Dataset

Multibeam echosounder data and seabed sampling data acquired during the INFOMAR national seabed mapping programme were the primary sources of data used in the generation of this habitat map for the Inshore Fisheries section of Bord Iascaigh Mhara. The original sediment classes assigned to the data were translated to the EUNIS habitat classification system as part of the MESH Atlantic project.
Soft-bottom macrozoobenthos from the coastal Bulgarian Black Sea (2013-2014)

Abundance (individuals/m2) and biomass (g/m2) of macrozoobenthic taxa at soft-bottom stations along the Southern Bulgarian Black Sea coast (Burgas Bay), collected during field surveys of IBER-BAS in 2013-2014 as part of project PERSEUS. The dataset also contains measurements of several environmental parameters at the stations: sediment grain size (% gravel, sand, and silt/clay); sediment moisture content (%) and total organic matter (% loss on ignition); temperature, salinity and dissolved oxygen in the water column and near the bottom.
PERSEUS is a research project that assesses the dual impact of human activity and natural pressures on the Mediterranean and Black Seas. PERSEUS merges natural and socio-economic sciences to predict the long-term effects of these pressures on marine ecosystems. The project aims to design an effective and innovative research governance framework, which will provide the basis for policymakers to turn back the tide on marine life degradation. http://www.perseus-net.eu/

Title: 	Policy-oriented marine Environmental Research in the Southern EUropean Seas (PERSEUS)
Funding: 	FP7-ENVIRONMENT - Specific Programme "Cooperation": Environment (including Climate Change) Grant agreement ID: 287600 Funding scheme: CP-IP-SICA - Large-scale integrating project for specific cooperation actions dedicated to international cooperation partner countries (SICA)
Study Area Description: 	Mediterranean and Black Seas
Species composition and sediment properties of maerl beds habitats in Falmouth Harbour, UK using towed underwater video and diver cores (2011 - 2013)

This dataset comprises of marine epibenthos and endobenthos (identified taxa derived from Algae, Annelida, Arthropoda, Bryozoa, Chordata, Echinodermata, Hemichordata, Mollusca, Nematoda, Nemertea, Phoronida, Porifera and Sipuncula), associated with maerl beds in Falmouth Harbour, UK. Additional data on sediment (organic content and particle size) and the porosity of maerl found at the sites are also provided. Surveys were conducted to assess the extent, distribution and species composition of maerl bed habitats within the harbour, in response to proposed dredging activities to deepen the shipping channel. Transects were undertaken using a high definition towed underwater video system in November 2011 and February 2012. Core samples collected by divers September - November 2012 and July - August 2013 were used to further assess habitat quality and species distribution by quantifying the abundance of infauna and analysing organic content, particle size and maerl structure.