AndreaBozzo/ceres-open-data-index huggingface dataset:
ATLANTIC_CH07_Product_2 / Damage to seafloor to both living and non-living components

[Lien vers la fiche source] The impact of fishing on benthic habitats has previously been investigated however; a conclusive classification of potentially sensitive habitats per gear type does not exist. Currently only qualitative estimates of fishery impact using Broad-scale habitat maps are possible. Here a sensitivity matrix using both fishing pressure (fishing Intensity) and habitat sensitivity is employed to define habitat disturbance categories. The predominant fishing activities associated with physical abrasion of the seafloor area are from bottom contacting towed fishing gear. The swept area of the aforementioned gear in contact with the seabed is generally considered a function of gear width, vessel speed and fishing effort (ICES. 2015). The varying characteristics of fishing gear, their interaction with the sea floor and species being targeted; provide scope for differing interactions with subsurface (infaunal) and surface (epifaunal) dwelling communities. An evaluation of the abrasion pressure and habitat sensitivity split into surface and subsurface pressure allows greater insight to the ecological effects. Fishing intensity was calculated annually and based on the area of sea floor being swept (or swept area ratio SAR) by gear type. Calculations are based on SAR’s of gear types per area, per year. Fishing pressure ranks and habitat sensitivity ranks obtained from WGSFD working group (01 WGSFD - Report of the Working Group on Spatial Fisheries Data 2015) can be incorporated within a GIS environment to existing ICES fisheries data to provide habitat disturbance maps (fishing pressure maps+ habitat sensitivity maps) ICES. 2015. Report of the Working Group on Spatial Fisheries Data (WGSFD), 8–12 June 2015, ICES Headquarters, Copenhagen, Denmark. ICES CM 2015/SSGEPI:18. 150 pp.
BLACKSEA_CH05_Product_3 / Regional sea level time series and trend for 5 coastal sub-regions for the past 50 years (1966-2015)

[Lien vers la fiche source] The product has been done by the University of Plymouth (UPL) using yearly data from Batumi, Burgas, Constanza, Poti, Sevastopol, Tuapse and Varna coastal stations from the http://www.psmsl.org/data/obtaining/ portal for the designed period. Five coastal sub-regions have been identified by considering the geographical locations of available coastal stations and the physical characteristics of the Black Sea.
ATLANTIC_CH05_Product_5 / Spatial layer of relative annually averaged sea level trend (in mm/year) for period of 50 years

[Lien vers la fiche source] This product attempt to follow up on the sea level rise per stretch of coast of the North Atlantic, over 50 years as follows: • Characterization of absolute sea level trend at annual resolution, along the coasts of EU Member States (including Outermost Regions), Canada, Faroes, Greenland, Iceland, Mexico, Morocco, Norway and USA; The stretchs or coast are defined by the administrative regions of the Atlantic Coast: • from NUTS3** administrative division for EU countries (see Eurostat), and • from GADM*** administrative divisions for non-EU countries. ** Third level of Nomenclature of Territorial Units for Statistics *** Global Administrative Areas For relative sea level trend for 50 years we extract the information from coastal tide gauges data available at each stretch of coast, if there is not a tide gauge there is a data gap. The product is Provided in tabular form and as a map layer.
BLACKSEA_CH09_Product_4 / Time series of monthly mean river temperature at the discharge point into the Black Sea (2000-2010)

[Lien vers la fiche source] Products of Time series of monthly mean river temperature at the discharge point into the Black Sea with temporal extent: 2000 – 2010. The products are based on E-HYPE version:3.1.1 (1981 - 2010), HYPE model version:HYPE 4_10_7, Geographical domain: Drainage basin of Europe (http://hypeweb.smhi.se/europehype/about/) Sakarya River Mouth Kamchia River Mouth Dniester River Mouth Danube River Mouth Soth Bug River Mouth Veleka River Mouth Rioni River Mouth Chorokhi River Mouth Sf. Gheorghe River Mouth Dnieper River Mouth KizilIrmak River Mouth
ATLANTIC_CH08_Product_4 / Map of Seasonal p90 chlorophyll-a concentration in the Norh Atlantic basin (2005-2014)

[Lien vers la fiche source] Maps of seasonal p90 (percentile 90) of Chla on the North Atlantic basin for the past ten years (2005-2014) using the Global Copernicus chla level 4 (L4) products (resolution of 4 km). Method as Gohin Francis, Saulquin Bertrand, Bryere Philippe (2010) Atlas de la Température, de la concentration en Chlorophylle et de la Turbidité de surface du plateau continental français et de ses abords de l’Ouest européen. Ifremer. http://archimer.ifremer.fr/doc/00057/16840/
ATLANTIC_CH04_Product_8 / Ice Occurence (1915-2014)

[Lien vers la fiche source] Map the occurrence of ice at 1-degree resolution over different periods of the last century (1915-2014, 1965-2014, 2005-2014, 2009-2014). For each entire period (100, 50, 10, 5 years) find and map all cells of the 1 degree grid that experience ice conditions in at least 1 month.
BLACKSEA_CH01_Product_01 / A high resolution wind-wave-tides database for the Black Sea area

[Lien vers la fiche source] One of the main objectives of the Work Package 2 (Windfarm Siting) is the determination of the suitability of sites for wind farm development in specific predefined Black Sea areas. Towards this direction a high resolution database has been developed, based on the outcomes of the FP7 MARINA Platform project (http://forecast.uoa.gr/proj_marina.php). The data base covers a time period of 10 years (2001 – 2010) containing hourly data and covering a wide range of atmospheric, wave and tidal information
ATLANTIC_CH05_Product_2 / Spatial layer of absolute annually averaged sea level trend (in mm/year) for period of 50 years

[Lien vers la fiche source] This product attempt to follow up on the sea level rise per stretch of coast of the North Atlantic, over past 50 years as follows: • Characterization of absolute sea level trend at annual resolution, along the coasts of EU Member States (including Outermost Regions), Canada, Faroes, Greenland, Iceland, Mexico, Morocco, Norway and USA; The stretchs or coast are defined by the administrative regions of the Atlantic Coast: • from NUTS3** administrative division for EU countries (see Eurostat), and • from GADM*** administrative divisions for non-EU countries. ** Third level of Nomenclature of Territorial Units for Statistics *** Global Administrative Areas For absolute sea level trend for 50 years we extract the information from grided sea level reconstruction datasets (using a combination of satellite and tide gauges) and extrapolate it to the nearest strecth of coast if the distance from the stretch of Coast to the nearest grid point is smaller than the horizontal grid resolution, if the distance is larger it´s considered to have a gap. The product is Provided in tabular form and as a map layer.
BLACKSEA_CH04_Product_14 / Time series of annual mean temperature -At mid water column (500 m)

[Lien vers la fiche source] The product gives the time series of the averaged Black Sea temperature at mid-column depth 500 m for the period 1992-2015. It is based on the CMEMS product BLKSEA_REANALYSIS_PHYS_007_004 (1992-2015).
ATLANTIC_CH05_Product_3 / Spatial layer of absolute annually averaged sea level trend (in mm/year) for period of 100 years

[Lien vers la fiche source] This product attempt to follow up on the sea level rise per stretch of coast of the North Atlantic, over past 100 years as follows: • Characterization of absolute sea level trend at annual resolution, along the coasts of EU Member States (including Outermost Regions), Canada, Faroes, Greenland, Iceland, Mexico, Morocco, Norway and USA; The stretchs or coast are defined by the administrative regions of the Atlantic Coast: • from NUTS3** administrative division for EU countries (see Eurostat), and • from GADM*** administrative divisions for non-EU countries. ** Third level of Nomenclature of Territorial Units for Statistics *** Global Administrative Areas For absolute sea level trend for 100 years we extract the information from grided sea level reconstruction datasets (using a combination of satellite and tide gauges) and extrapolate it to the nearest strecth of coast. The product is Provided in tabular form and as a map layer.
BLACKSEA_CH05_Product_7 / Sea level time series and trend for the past 100 years for each NUTS3 from selected coastal stations

[Lien vers la fiche source] The product has been done by the University of Sofia (USOF) using yearly data from Batumi, Burgas, Coastanza, Poti, Sevastopol, Tuapse and Varna coastal stations from the http://www.psmsl.org/data/obtaining/ portal for the designed period.
Baltic Sea - Temperature and Salinity statistics data product

[Lien vers la fiche source] The SDC_BAL_TS_statistics_DP1 contains temperature and salinity means and standard deviation at different depths in basins in the Baltic Sea for every month. Based on the SeaDataCloud historical dataset SDC_BAL_DATA_TS_V2 covering the period 1900 – 2019 and merged with the Coriolis ocean dataset for reanalysis (CORA) dataset (https://www.seanoe.org/data/00351/46219/).
MEDSEA_CH1_Product_1 / Wind and wave data set from MARINA project

[Lien vers la fiche source] Today's normative and regulatory requirements to assess the producible energy from wind rely on in situ measurements (mast with anemometric sensors), which are extremely costly to Implement offshore. However, proof should be provided that hindcast model results are highly reliable, in order to provide an equivalent assessment. Very high resolution models is also the key issue in decision making for a proper siting that is relaying on the consistency of all datasets provided in the assessment. In this tender the products of the FP7 MARINA project will be used. 10-year (2001-2010) highresolution atmospheric, wave, tidal and ocean current simulations will be used. The model outputs are at high resolution (0.05x0.05 degree horizontal resolution, 1-hour time resolution, 5-vertical levels at 10,40,80,120,180 m). The wave parameters are co-located with the meteorological output fields. Satellite altimetry data from ENVISAT and JASON satellites have been assimilated in the system. Other wind and wave satellite data sets will be also analyzed (Synthetic Aperture Radars-SAR for example). At the same co-located points the tidal and ocean current data together with bathymetry are available. For preselected points in the North Western Mediterranean (Spain-France-ltaly areas) directional wave spectra data have been saved and are available. From SKIRON meteorological model available parameters are: WIND SPEED (m/s), WIND DIRECTION (deg), AIR PRESSURE (hPa), AIR DENSITY (Kgr/m3), TEMPERATURE (K), MODEL SEAMASK From the wave model available parameters: SIGNIFICANT WAVE HEIGHT (m), MEAN WAVE DIRECTION (deg), WAVE MEAN PERIOD (s), PEAK WAVE PRERIOD (s), SWELL WAVE HEIGHT (m), MEAN SWELL PERIOD (s), MEAN DIRECTIONAL SPREAD, WINDSEA MEAN DIRECTIONAL SPREAD, SWELL MEAN DIRECTIONAL SPREAD, MAXIMUM WAVE HEIGHT (m)
Base Sirene v3 - Département du Gers

Retrouvez toutes les entreprises et leurs établissements. La base Sirene® est actualisée tous les jours, elle regroupe environ 30 millions d'établissements en activité ou non. Données basées sur le stock de 2026-04. Remarque : Opendatasoft a arrêté depuis fin février les mises à jour quotidiennes du dataset SIRENE v3 depuis la dernière mise à jour de l'API de l'INSEE. En effet, nous rencontrons de nombreuses difficultés avec l'API tant sur sa stabilité que sur des problématiques de mises à jour. ### IMPORTANT La base Sirene contenant des données à caractère personnel, l'Insee attire votre attention sur les obligations légales qui en découlent : * Le traitement de ces données relève des obligations de déclaration de la Loi 78-17 du 6 janvier 1978 modifiée, dite Loi CNIL : [https://www.cnil.fr/fr/loi-78-17-du-6-janvier-1978-modifiee] * Selon votre usage du jeu de données, il est de votre responsabilité de tenir compte du statut de diffusion le plus récent de chaque personne physique. En effet, l'article A123-96 du code de commerce dispose que : > "Toute personne physique peut demander soit directement lors de ses formalités de création ou de modification, soit par lettre adressée au directeur général de l'Institut national de la statistique et des études économiques, que les informations du répertoire la concernant ne puissent être utilisées par des tiers autres que les organismes habilités au titre de l'article R. 123-224 ou les administrations, à des fins de prospection, notamment commerciale." ### SIRENE BY ODS ODS présente une base des établissements consolidée avec les données de son unité légale associée. #### Enrichissements * ajout des libellés des codes NAF et catégories juridiques; * ajout des libellés tranches légales et des types de voie; * ajout des hierarchies administratives (reg/arr/dep/epci); * ajout de la géolocalisation des établissements via un géocodage BAN; * changement de certaines abréviations (F/M, O/N, A/C) par le libellé correspondant (sexeunitelegale, etatadministratifunitelegale, caractereemployeurunitelegale, etatadministratifetablissement, etablissementsiege, caractereemployeuretablissement) * ajout d'un champ "première ligne d'adressage" avec la civilité + nom prénom personne de l'unité legale * ajout d'un champ adresse établissement (concaténation num + type + voie) #### Notes * les valeurs de "date de début de l’établissement" ont été reconstruites à partir d’une ancienne version pour une centaine d’enregistrements dont les valeurs étaient incohérentes.
MEDSEA_CH4_Product_12 / Time series of annual average sea level from PSMSL time-gauges over periods of 50 years (1963-2012) and 100 years (1913-2012)

[Lien vers la fiche source] Description of attributes for time series of annual average sea level (units: mm) from tide gauges over periods of 50 years (1963-2012) and 100 years (1913-2012), to characterize and assess average annual sea-level rise relative to the land.
Arctic Ocean - Temperature and Salinity Climatology V2

[Lien vers la fiche source] The SeaDataCloud Temperature and Salinity Climatologies have been processed from the historical Data Collection of the Arctic Ocean (from 56°N to 83°N and from 45°W to 70°E) including temperature and salinity in situ data of the water column for the period 1955 – 2019. The analysis was run in six decadal periods (1955-1964/1965-1974/1975-1984/1985-1994/1995-2004/2005-2014). A subset of the World Ocean Database 2018 (WOD18, https://www.nodc.noaa.gov/OC5/WOD/pr_wod.html) dataset has been integrated as external data-source to improve data availability for analysis.
Mediterranean Sea - Temperature and salinity Historical Data Collection SeaDataCloud V2

[Lien vers la fiche source] SDC_MED_DATA_TS_V2 SeaDataCloud Temperature and Salinity data collection for the Mediterranean Sea contains all open access temperature and salinity in situ data retrieved from SeaDataNet infrastructure at the end of July 2019. The data span between -9.25 and 37 degrees of longitude, thus including an Atlantic box and the Marmara Sea. It covers the time period 1900-2019. Data have been quality checked using ODV 5.3.2 software. Quality Flags of anomalous data have been revised using basic QC procedures. The dataset format is ODV binary collections. You can read, analyse and export from the ODV application provided by Alfred Wegener institute at http://odv.awi.de/. For data access please register at http://www.marine-id.org/.
MEDSEA_CH4_Product_8 / Time series of annual average sea surface temperature from observations (HadISST dataset) over periods of 10 years (2003-2012), 50 years (1963-2012) and 100 years (1913-2012)

[Lien vers la fiche source] Description of the attributes for the time-series of sea surface annual average temperature for the last 10, 50 and 100 yrs for the Mediterranean basin and for each NUTS region along the coast.
Arctic Ocean - Temperature and Salinity Climatology V1

[Lien vers la fiche source] The SDC_ARC_CLIM_TS_V1 product contains Temperature and Salinity Climatologies for Arctic Ocean including seasonal and monthly fields for 6 decades starting from 1955 to 2014. The climatological fields were computed from merged Arctic Ocean data that combines data extracted from the 2 major sources: 1) SeaDataNet infrastructure and 2) World Ocean Database (2018) for reanalysis. The computation was done with the DIVA Classic (Data-Interpolating Variational Analysis), version 4.7.2.
Black Sea gridded monthly climatology for cold intermediate layer cold content at 1/8°

[Lien vers la fiche source] The Black Sea gridded monthly climatology for cold intermediate layer (CIL) cold content (CCC) (1/8°, 12 months) based on the collection of temperature and salinity profiles spanning 35 years (1955–1999).The CCC climatological fields were computed from the merged Black Sea dataset that combines data extracted from 3 major sources: 1) SeaDataNet infrastructure, 2) World Ocean Database, and 3) Coriolis Ocean Dataset for Reanalysis. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.6.2. The product was developed in framework of SeaDataCloud project, EC H2020 grant #730960. For data access please register at http://www.marine-id.org/.
Black Sea - Temperature and salinity Historical Data Collection SeaDataCloud V1

[Lien vers la fiche source] The SeaDataCloud Temperature and Salinity Historical Data Collection for the Black Sea includes open access in situ data on temperature and salinity of water column in the Black Sea (and a little in the Sea of Azov) for period 1868 – 2017. The data were retrieved from the SeaDataNet infrastructure at the end of 2017. The dataset format is Ocean Data View (ODV - http://odv.awi.de/) binary collection. The quality control of the data has been performed with the help of ODV software. Data Quality Flags have been revised and set up using the elaborated by SeaDataNet2 project QC procedures in conjunction with the visual expert check. Data duplicates have been identified and excluded from the dataset. The final number of the Temperature and Salinity profiles (stations) in the collection is 137723. For data access please register at http://www.marine-id.org/.
MEDSEA_CH1_Product_2 / Suitability index of a wind farm in the NWMed concerning the environmental resources

[Lien vers la fiche source] The main aim of this product was to define the suitability of offshore sites in the area between the borders of France-Spain-Italy for wind farm development. The adopted approach classifies wind speed data by their level of suitability, ranging from a grade 5 for exclusion zones, to a grade 1 for areas deemed appropriate for wind farm development. The quality indexes adopted were based on mean and variation statistical measures taking into consideration both the expected energy potential and the corresponding variability.
Baltic Sea - Temperature and salinity Historical Data collection SeaDataCloud V1

[Lien vers la fiche source] The SeaDataCloud Temperature and Salinity historical data collection for the Baltic Sea includes open access in situ data on temperature and salinity of water column. The data were retrieved from the SeaDataNet infrastructure at the end of 2017. Data have been quality controlled according to the SeaDataNet2 project QC procedures in conjunction with the visual expert check using the ODV software. The final number of stations in the collection is 407456, containing around 13.7 million values for both temperature and salinity. The dataset format is ODV binary collection which you can read, analyse and export from with the ODV application provided by the Alfred Wegener institute at http://odv.awi.de/. For data access please register at http://www.marine-id.org/.
Arctic Ocean - Temperature and salinity Historical Data Collection SeaDataCloud V2

[Lien vers la fiche source] SeaDataCloud Temperature and Salinity historical data collection for the Arctic Ocean, including revised quality flags after quality control with ODV. The dataset format is ODV binary collections. You can read, analyse and export from the ODV application provided by Alfred Wegener institute at http://odv.awi.de/. For data access please register at http://www.marine-id.org/.
North Sea - Temperature and salinity Historical Data Collection SeaDataCloud V1

[Lien vers la fiche source] The data collection of the North Sea is divided in two datasets : the discrete collection and the trajectories collection. The Discrete SeaDataCloud Temperature and Salinity Historical Data Collection for the North Sea includes open access in situ data on temperature and salinity measured with “discrete” instruments (CTD, XBT, discrete water samplers…). The data span between 4°W and 10°E in longitude, and from 49°N to 62°N in latitude. It covers the time period 1893 – 2017. The data were retrieved from the SeaDataNet infrastructure in November 2017. The “Trajectories” SeaDataCloud Temperature and Salinity Historical Data Collection for the North Sea includes open access in situ data on temperature and salinity measured by continuously recording sensors (e.g. Ferryboxes). The data span between 4°W and 10°E in longitude, and from 49°N to 62°N in latitude. It covers the time period 1989 – 2017. The data were retrieved from the SeaDataNet infrastructure in November 2017. The quality control of the data has been performed with the help of ODV software. Data Quality Flags have been revised following common recommended procedures defined under SeaDataNet 2 project in conjunction with visual expert check. The dataset format is ODV binary collections. You can read, analyse and export from the ODV application provided by Alfred Wegener institute at http://odv.awi.de/. For data access please register at http://www.marine-id.org/.
Black Sea gridded decadal seasonal climatology for cold intermediate layer cold content at 1/8°

[Lien vers la fiche source] Black Sea gridded decadal seasonal climatology for cold intermediate layer (CIL) cold content (CCC) (1/8°, 6 decades, 4 seasons) based on the collection of temperature and salinity profiles spanning 60 years (1955–2014).The CCC climatological fields were computed from the merged Black Sea dataset that combines data extracted from 3 major sources: 1) SeaDataNet infrastructure, 2) World Ocean Database, and 3) Coriolis Ocean Dataset for Reanalysis. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.6.2. The product was developed in framework of SeaDataCloud project, EC H2020 grant #730960. For data access please register at http://www.marine-id.org/.
MEDSEA_CH4_Product_6 / Spatial layers of sea–level trend from PSMSL tide-gauges over periods of 50 years (1963-2012) and 100 years (1913-2012)

[Lien vers la fiche source] Description of spatial layers attributes of sea-level trend (units: mm/year) from tide gauges over periods of 50 years (1963-2012) and 100 years (1913-2012), to characterize and assess average annual sea-level rise at the coast.
MEDSEA_CH4_Product_9 / Time series of annual average sea temperature at mid-depth and sea-bottom from reanalysis (CMEMS Mediterranean Physics Reanalysis dataset) over period of 10 years (2003-2012)

[Lien vers la fiche source] Description of attributes for time series on annual averafe mid-water and sea-bottom temperature for the last 10 years for the Mediterranean basin and for each NUTS3 along coast