AndreaBozzo/ceres-open-data-index huggingface dataset:
Housing Tenure and Cost by Race

Tenure and housing cost as a percentage of household income in past 12 months by race and Hispanic Origin for North Carolina counties as reported by the American Community Survey five-year estimates. The year shown in the dataset refers to the final year of the five-year reporting period (ie "2010" refers to the 2006-2010 ACS). Data are reported in ACS tables B25003(A-I) and B25140(A-I).
Dataset for the paper "Preferences after pan(dem)ics: Time and risk in the shadow of COVID-19"

[Lien vers la fiche source] Dataset from incentive-compatible tasks used to simultaneously estimate risk and ambiguity aversion, time discounting, present bias, and prudence parameters before, during, and after the COVID-19 lockdown in France. The aim of the study was to use the COVID-19 health crisis to study how individual preferences respond to generalized traumatic events.
Global Plastics Production

This dataset shows the increase of global plastic production, measured in tonnes per year, from 1950 through to 2019. In 1950 the world produced only 2 million tonnes per year. Since then, annual production has increased nearly 200-fold, reaching 381 million tonnes in 2015. The short downturn in annual production in 2009 and 2010 was predominantly the result of the 2008 global financial crisis — a similar dent is seen across several metrics of resource production and consumption, including energy.
Mobilier urbain sur Rennes Métropole

Cette couche de données représente le mobilier situé dans l'espace public, quel que soit le gestionnaire. Chaque commune de la métropole gère sa donnée sur son territoire. Le service SDTIG de Rennes Métropole en assure la gestion technique. Cette couche localise les types de mobilier suivant : - Aire de feu de camp - Banc - Barbecue collectifs - Corbeille - Fontaine - Jardinière - Parking vélo - Passerelle - Sanisette - Table de pique-nique - Totem canin et canisite Parmi les autres données attributaires figurent la fabricant, la matière (bois, composite, métal,...), l'entité gestionnaire en charge de son entretien et diverses dates de gestion (pose, dernier entretien, prochain entretien). Ces données sont mises à jour par les services techniques de chaque commune via des outils mis à leur disposition par Rennes Métropole.
Base de données des équipements collectifs de l'Agglomération du Pays de Dreux

Cette base de données regroupe et localise l'ensemble des équipements collectifs de l'Agglomération du Pays de Dreux. Ce document sera mis à jour régulièrement. Il est possible d'y retrouver : * Les équipements de service à la population (points d'apport volontaire et déchèteries, stations d'épuration, maisons des services au public, restaurants, services bancaires et postaux, etc...) * Les équipements administratifs (collectivités territoriales, forces de sécurité, services d'emploi, etc...) * Les équipements cultuels (cimetières, crématoriums, églises, temples protestants, mosquées, synagogues, etc...) * Les équipements culturels (monuments historiques, bibliothèques, conservatoires, musées, théâtres, salles de cinéma, etc...) * Les équipements d'enseignement (écoles maternelles, écoles primaires, Centres de Formation d'Apprentis (CFA), établissements secondaires de premier et de second cycle, etc...) * Les équipements de Justice (tribunaux, Maisons de justice, etc...) * Les équipements de mobilité (bornes de recharge électrique, gares ferroviaires, aires de co-voiturage, parkings, stations service, etc...) * Les équipements sanitaires (maisons de santé, hôpitaux, centres de protection maternelle et infantile (PMI), médecine du travail, etc...) * Les équipements sociaux et d'animation (épiceries sociales et solidaires, foyers de vie, foyers d'accueil médicalisés, etc...) * Les équipements sportifs et de loisirs (salles polyvalentes, aires de jeux, parcs, gymnases, courts de tennis, parcours de golf, etc...)
Maisons départementales de l’autonomie (MDA)

La Maison départementale de l’autonomie (MDA) des Pyrénées-Atlantiques informe et accompagne les personnes âgées, les personnes en situation de handicap et leurs aidants. Contactez la MDA au 05 59 04 64 64 ou rendez-vous dans l’un des 18 points d’accueil MDA pour découvrir les droits et les dispositifs existants, pour compléter un formulaire de demande d’aide ou pour toute question relative à votre dossier.
Population par département-âge-sexe (2016-2025, estimations en janvier 2025)

Données détaillées au 1er janvier 2025 de la population 2016-2025 au niveau département-sexe-tranche d'âge (source INSEE). Les données de licences annuelles du millésime 2024 sont confrontées aux données de population relatives à l'année 2024 de cette base. Les données pour les années 2023-2025 sont des estimations. [Estimation de la population au 1ᵉʳ janvier 2025 | Insee]
Inventaires Archéozoologiques et Archéobotaniques Fédérateurs (I2AF)

[Lien vers la fiche source] Les informations enregistrées dans la base I2AF concernent en premier lieu les noms des espèces découvertes au cours de fouilles archéologiques réalisées sur le territoire national et, plus récemment dans d’autres régions du monde. Sont également collectées des informations sur le site (informations géographiques, nature de l’opération archéologique, nom du responsable, dates) et sur les différentes structures ou unités stratigraphiques ayant livré des restes animaux et végétaux (éléments de datation, culturelle, climatique ou physico-chimique, nom du responsable des études). Chaque donnée est liée à sa source (rapport de fouilles ou d'études, publication scientifique, mémoires universitaires, etc.). L’inventaire archéologique bénéficie des efforts engagés depuis plus de 30 ans par l’archéologie nationale, au CNRS, au Muséum National d'Histoire Naturelle, au Ministère de la Culture, dans certaines Universités, à l’INRAP (Institut National de Recherches Archéologiques Préventives) et chez les opérateurs privés de l'archéologie, ainsi que dans les services dédiés des collectivités territoriales.
Archives - Actes et autres documents relatifs aux individus

Dans ce jeu de données, vous trouverez le recensement de différents documents ou dossiers concernant des personnes précises, principalement des citoyens. Pour trouver une personne en particulier, consulter l'onglet "Chercher une personne". Cette page contient également des informations sur l'état d'avancement de l'encodage des documents. Dans l'onglet "Analyse", vous pourrez, par exemple, tester différentes visualisations sur les noms de famille, prénoms, communes, etc. [← Retour au catalogue complet]
Composition and abundance of fish assemblages across Yonge Reef, northern Great Barrier Reef, Australia, in 1990

[Lien vers la fiche source] This dataset gathers the names of 325 species of fish as well as their trophic category (8), habitat (9), abundance category (6) and minimum abundance (minimum number of individuals recorded per species and replicate), observed in 1990 across Yonge Reef (14°35’S latitude and 145°37’E longitude), an outer-shelf reef located in the northern part of the Great Barrier Reef, Australia. Underwater visual censuses (45 to 60 min) were performed in the nine habitats distinguished from the windward outer side to the leeward lagoon side, between 0.5 and 30 m deep. This dataset is a witness of the specific and trophic structure of fish assemblages across Yonge Reef in 1990 and will serve as a baseline for studies on the impacts of climate change on coral reef fish composition and functioning. Fig : Map of the study reef, Yonge Reef, in outer-shelf position on the northern Great Barrier Reef List of variables Country = Name of country Reef = Name of the reef studied on the Great Barrier Reef Date = Date of observation Zone = Name of the geomophological zone of the reef (Outer slope, Reef flat, Inner slope) Site = Location of observation on the reef Depth Min (m) = Minimum depth of observation (m) Depth Max (m) = Maximum depth of observation (m) Habitat category = Category of habitats (9) Code Habitat = Code of habitat category (AGR = Acropora grandis zone; IPA = Isopora palifera zone; BOZ = Boulder zone; BRF = Back reef flat margin; DLS = Deep lagoon slope; DOS = Deep outer slope; ORF = Outer reef flat; SLS = Shallow lagoon slope; SOS = Shallow outer slope) Code Replicate = Initial numbering of observation replicate Fish family = Latin name of fish family or subfamily (Scaridae was kept as a family for simplicity following FishBase (2024) and not included in Labridae as the tribe Scarini as proposed by Hughes et al. (2023) Fish species = Latin name of genus and species of the fish recorded Trophic category (8) = code of diet category of the fish species (COR = Corallivores; CRU = Crustacivores; HMD = Herbivores, Microvores & Detritivores; IMA = Macroinvertivores; IMI = Microinvertivores; ISE = Sessiles Invertivores; PIS = Piscivores; PLK = Planktivores) (following Parravicini et al., 2020) Code Abundance (6) = Code of abundance category (1 = 1 individual; 2 = 2 - 5 individuals; 3 = 6 - 25 individuals; 4 = 26 - 125 individuals; 5 = 126 - 625 individuals; 6 = 626 - 3250 individuals) Min Abundance = Minimum number of individuals recorded per species in each abundance category References https://www.FishBase.org (2024) Hughes L.C., Nash C.M., White W.T., Westneat M.W. (2023) Concordance and discordance in the phylogenomics of the wrasses and parrotfishes (Teleostei: Labridae). Systematic Biology, 72: 530-543. Parravicini V., Casey J.M., Schiettekatte N.M.D., Brandl S.J., Pozas-Schacre C., Carlot J., Edgar G.J., Graham N.A.J., Harmelin-Vivien M., Kulbicki M., Strona G., Stuart-Smith R.D. (2020) Delineating reef fish trophic guilds with global gut content data synthesis and phylogeny. PloS Biology, 18(12): e3000702.
BLACKSEA_CH01_Product_02 / Assessment of the available database

[Lien vers la fiche source] 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. State of the art numerical modeling systems have been used for the simulation of the above data. Namely, the atmospheric modelling system SKIRON (Kallos G. et al 1997, Spyrou C. et al, 2010) and the 3rd generation spectral model WAM (Bidlot J eta al, 2003, Komen G. et al, 1994, WAMDIG, 1988) CY33R1 (ECMWF) have been utilized. The parameters analyzed in this report for spotting advantageous areas for wind farms development are: -- Wind power 80 m -- Wind speed at 10 m -- Wind Speed at 80 m Moreover, a suitability index for wind farm sitting has been developed.
BLACKSEA_CH04_Product_15 / Time series of annual mean temperature - At sea bottom (1500 m)

[Lien vers la fiche source] The product gives the time series of the averaged Black Sea temperature in the deep part, depth 1500 m, for the period 1992-2015. It is based on the CMEMS product BLKSEA_REANALYSIS_PHYS_007_004 (1992-2015).
ATLANTIC_CH11_Product_1/ Alien species citations table

[Lien vers la fiche source] The Alien Species exercise handles the ability to identify alien species in the North Atlantic as follows: • Species name • Taxonomic group (fish, algae, mammals, sponges etc) • Year of first record (e.g: 1240 is the earliest record of introduction) • Pathway/vector of introduction (climate change, ballast water discharge etc) . Status (established, cryptogenic,...) • Geographical area (place names, i.e. ports and bays
ATLANTIC_CH07_Product_1 / Area where bottom habitat has been disturbed by bottom trawling (number of disturbances per month)

[Lien vers la fiche source] Data from a number of different sources have been integrated to provide new perspectives on fishing activities. Vessel Monitoring Systems (VMS) record and transmit the position and speed of fishing vessels at intervals of two hours or less. Fishing time can be calculated from the VMS data and combining this parameter with vessel logbook data, maps of fishing effort and intensity at different spatial and temporal scales can be calculated. The statistical software package “R” is used to extract the required information then re-interrogated to produce maps of fishing effort or intensity per month and year. The use of Automatic Identification System (AIS) data was not considered as combining AIS data with fisheries logbook data would pose issues namely; the ability of the AIS system to be switched off, only mandatory on vessels > 15 meters in length, cost involved to purchase data, and confidentiality.
BLACKSEA_CH05_Product_6 / Sea level time series and trend for the past 50 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, Constanza, Poti, Sevastopol, Tuapse and Varna coastal stations from the http://www.psmsl.org/data/obtaining/ portal for the designed period.
BLACKSEA_CH09_Product_3 / Time series of daily river discharge at the discharge point into the Black Sea (1981 - 2010) (computed with Hype model)-

[Lien vers la fiche source] River discharge [m3/s] into Black Sea basin from in situ data available 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
BLACKSEA_CH05_Product_2 / Regional sea level time series and trend for 11 sub-regions for the past 10 years (2006-2015)

[Lien vers la fiche source] The product has been done by P.P.Shirshov Institute of oceanology RAS (SIO-RAS). They used multimission altimeter satellite gridded Sea Level Anomalies data available at https://aviso-data-center.cnes.fr and Copernicus. Sub-regions were selected so that to cover a range of hydrodynamic conditions in the Black Sea: shallow shelf areas (1, 9); dynamically inactive central deep-water areas (10, 11); dynamically active (including meandering, jets and eddies formation processes) zone associated with the intensive circular current (Rim Current) and attached to the continental slope (2, 3, 5, 7, 8); persistent Batumi (4) and Sevastopol (6) anticyclonic gyres.
ATLANTIC_CH02_Product_2 / Quantitative analysis of MPA connectivity

[Lien vers la fiche source] Assess whether the MPA network constitutes a representative and coherent network as described in article 13 of the Marine Strategy Framework Directive 3 products were specified to achieve the second objectif of the challenge: ATLANTIC_CH02_Product_2 / Quantitative analyse of MPA coherency The product comprises 4 components: Distribution of vulnerable marine habitats : Shape represent the distribution of different vulnérable habitats Distribution biologically or ecologically significant areas (EBSAs) Critical areas of vulnerable species Distribution of indicator species The method used computes the percentage coverage between : Vulnerable habitats like carbon sinks, reef, kelp... Ecologically or biologically significant area Life critical area (feeding , breeding, migratory routes, spawning, dispersal larvea, nursery…) for indicator species Distribution of indicator species in the study area and MPA network location.
ATLANTIC_CH04_Product_5 / Total ice cover (1915-2014)

[Lien vers la fiche source] Pentadal time-series of the area in the North Atlantic (IHO, 1953) where ice occurred. On a 1 degree grid find all cells that experienced ice in at least 1 month of each 5 year period between 1915 and 2014, and then calculate the total area that these cells covered.
BLACKSEA_CH04_Product_3 / Map of the change of the average temperature over 2006-2015 period (10 years) - At sea bottom (1500m)

[Lien vers la fiche source] The product gives the change of the Black Sea temperature in the deep part 1500 m for the period 2006-2015 with spatial resolution of ~3 km. It is based on the CMEMS product BLKSEA_REANALYSIS_PHYS_007_004 (1992-2015).
ATLANTIC_CH10_Product_3 / North Atlantic area divided into regions showing priority areas for surveying

[Lien vers la fiche source] Identified areas across the north Atlantic which have been flagged as priority locations for quality bathymetry data, in the context of expanded shipping traffic and port expansions. The reference to determine the priority survey areas in combination with shiping routes and port locations are the bathymetric data sources used for product 2( GEBCO, EMODnet bathymetry, USGS and CHS) and the depth uncertainty derived of Product 2. The adequacy assessment of the input characteristics of Product 3 is limited to the shiping routes and port locations.
BLACKSEA_CH04_Product_18 / Time series of abundance of three most abundant species of phytoplankton

[Lien vers la fiche source] The product gives the time series of the annual concentration of the three most abundant phytoplankton species: Emiliania huxleyi, Pseudosolenia calcar-avis and Ceratium tripos. The periods are different for the different species, ranging from 1969 to 2016. It is based on the data from Black Sea Commission and NATO ODMBS Black Sea Project databases.
ATLANTIC_CH01_Product_1 / Map of offshore windfarm siting suitability in the geographic area where waters of France, Ireland and UK meet

[Lien vers la fiche source] The three digital maps provided in this product aim to assess the degree of Offshore windfarm siting suitability existing over the geographical area extent with a focal point where waters of France, Ireland and UK meet. The maps display respectively the spatial distribution of the average and lowest windfarm siting suitability scores along with the average wind speed distribution over a time period of 10 years. They are part of a process set up to assess the fit for use quality of the currently available datasets to support a preliminary selection of potential offshore sites for wind energy development. To build these maps, GIS tools were applied to several key spatial datasets from the 5 data type domains considered in the project: Air, Marine Water, Riverbed/Seabed, Biota/Biology and Human Activities, collated during the initial stages of the project. Initially, each selected dataset was formatted and clipped to the study area extent and spatially classified according to suitability scores, to define raster layers with the variables depicting levels of current anthropogenic and environmental spatial occupation of activities, seabed depth and slope, distances to shoreline, shipping intensity, mean significant wave height, and substrate type. These pre-processed layers were employed as inputs for applying a spatial multi-criteria model using a wind farming suitability classification based on a discrete 5 grades index, ranging from Very Low up to Very High suitability. In adition to suitability maps, an average wind speed spatial distribution map for a 10 years period, at 10 m height, was obtained over the study area from the raster processing of a wind speed time series of monthly means available from daily wind analysis data. The characteristics of the datasets used in this exercise underwent an appropriateness evaluation procedure based on a comparison between their measured quality and those specified for the product. All the spatial information made available in these maps and from the subsequent appropriateness analysis of the datasets, contributes to a clearer overview of the amount of public-access baseline knowledge currently existing for the North Atlantic basin area.
ATLANTIC_CH01_Product_3 / Map of windfarm siting suitability in the area of Southern border of Portugal and Spain at 20 m depth

[Lien vers la fiche source] The three digital maps provided in this product aim to assess the degree of Offshore windfarm siting suitability existing over a geographical area with a focal point in the Southern border of Portugal and Spain at 20 m depth. The maps display respectively the spatial distribution of the average and lowest windfarm siting suitability scores along with the average wind speed distribution over a time period of 10 years. They are part of a process set up to assess the fit for use quality of the currently available datasets to support a preliminary selection of potential offshore sites for wind energy development. To build these maps, GIS tools were applied to several key spatial datasets from the 5 data type domains considered in the project: Air, Marine Water, Riverbed/Seabed, Biota/Biology and Human Activities, collated during the initial stages of the project. Initially, each selected dataset was formatted and clipped to the study area extent and spatially classified according to suitability scores, to define raster layers with the variables depicting levels of current anthropogenic and environmental spatial occupation of activities, seabed depth and slope, distances to shoreline, shipping intensity, mean significant wave height, and substrate type. These pre-processed layers were employed as inputs for applying a spatial multi-criteria model using a wind farming suitability classification based on a discrete 5 grades index, ranging from Very Low up to Very High suitability. In adition to suitability maps, an average wind speed spatial distribution map for a 10 years period, at 10 m height, was obtained over the study area from the raster processing of a wind speed time series of monthly means available from daily wind analysis data. The characteristics of the datasets used in this exercise underwent an appropriateness evaluation procedure based on a comparison between their measured quality and those specified for the product. The study area is located in the western part of the Cadiz Golf includes a coastal zone of Portugal and Spain. The continental shelf has a high value for tourism, fishing and environmental protection activities. In addition, this area presented the lowest mean wind speed. Important data gaps exist on human activities and environmental protection such as the spatial extent of the fishing and aquaculture offshore activities or the spatial distribution of essential habitats and species. All the spatial information made available in these maps and from the subsequent appropriateness analysis of the datasets, contributes to a clearer overview of the amount of public-access baseline knowledge currently existing for the North Atlantic basin area.
ATLANTIC_CH10_Product_2 / Digital bathymetry uncertainty covering the North Atlantic, and a representative sample area within the North Atlantic.

[Lien vers la fiche source] This product is a map of the uncertainty of available digital bathymetry measurements for the North Atlantic Ocean. This is done for a spatial resolution feasible for this large area (25km x 25km). It is designed to assess the quality of the bathymetry readings with a view to supporting assessments of future need. The product is formulated through a number of characteristics of the data including age of measurement and slope.