AndreaBozzo/ceres-open-data-index huggingface dataset:
Prime de partage de la valeur du secteur privé par trimestre, France entière x secteur NA38

Données trimestrielles sur le montant de la prime de partage de la valeur (PPV), le nombre d’établissements concernés et le nombre de salariés bénéficiaires, par secteur d'activité au niveau agrégé en 38 postes de la NAF. ►[MISE A JOUR] : fin de trim. + ~70 jours. Source : DSN (Déclarations Sociales Nominatives) Champ : Secteur privé, champ des estimations trimestrielles d'emploi (ETE). Profondeur : depuis le troisième trimestre 2022. Précisions méthodologiques : - [La prime de partage de la valeur] (PPV) remplace depuis le 1er juillet 2022 la prime exceptionnelle de pouvoir d'achat (Pepa). - Les établissements versant une prime exceptionnelle doivent en principe déclarer dans la Déclaration sociale nominative (DSN) le montant total des primes versé (données dites "agrégées") et le ventiler par salarié concerné (données dites "individuelles"). Dans certains cas, seules les données individuelles ou seules les données agrégées sont renseignées. Le choix méthodologique sur le quel repose le calcul des montants globaux de primes (cf. autres jeux sur les primes exceptionnelles) consiste à retenir en priorité les montants individuels déclarés, et à prendre en compte le montant agrégé, s'il existe, lorsque les données individuelles ne sont pas renseignées. Le taux de couverture des données individuelles indique la part que représentent les montants issus des données individuelles dans le montant total au niveau trimestre x secteur NA38. Compte tenu des écarts de taux de couverture, il convient d'être prudent quant aux comparaisons des nombres de salariés, ainsi que des montants issus des données individuelles. - Le nombre d'établissements actifs comprend l'ensemble des SIRET ayant une déclaration de masse salariale sur le trimestre. - Les données de ce jeu portent sur le champ du secteur privé des ETE. [Le champ des ETE] correspond au périmètre du secteur privé retenu dans les publications conjoncturelles des Urssaf sur les effectifs salariés et la masse salariale. Il est défini en partenariat avec l’Insee et la Dares dans le cadre des estimations trimestrielles d’emploi (ETE). Il est hors secteur agricole (AZ), hors activités extra-territoriales (UZ) et hors Mayotte. Ce champ couvre plus de 99 % du montant global de PPV déclaré par les établissements affiliés au régime général.
Prime de partage de la valeur du secteur privé par trimestre, par région

Données trimestrielles sur le montant de la prime de partage de la valeur du secteur privé, le nombre d’établissements concernés et le nombre de salariés bénéficiaires, au niveau régions. ►[MISE A JOUR] : fin de trim. + ~70 jours. Source : DSN (Déclarations Sociales Nominatives) Champ : Secteur privé, champ des estimations trimestrielles d'emploi (ETE). Profondeur : depuis le troisième trimestre 2022. Précisions méthodologiques : - [La prime de partage de la valeur] (PPV) remplace depuis le 1er juillet 2022 la prime exceptionnelle de pouvoir d'achat (Pepa). - Les établissements versant une prime exceptionnelle doivent en principe déclarer dans la Déclaration sociale nominative (DSN) le montant total des primes versé (données dites "agrégées") et le ventiler par salarié concerné (données dites "individuelles"). Dans certains cas, seules les données individuelles ou seules les données agrégées sont renseignées. Le choix méthodologique sur le quel repose le calcul des montants globaux de primes (cf. autres jeux sur les primes exceptionnelles) consiste à retenir en priorité les montants individuels déclarés, et à prendre en compte le montant agrégé, s'il existe, lorsque les données individuelles ne sont pas renseignées. Le taux de couverture des données individuelles indique la part que représentent les montants issus des données individuelles dans le montant total au niveau trimestre x région. Compte tenu des écarts de taux de couverture, il convient d'être prudent quant aux comparaisons des nombres de salariés, ainsi que des montants issus des données individuelles. - Le nombre d'établissements actifs comprend l'ensemble des SIRET ayant une déclaration de masse salariale sur le trimestre. - Les données de ce jeu portent sur le champ du secteur privé des ETE. [Le champ des ETE] correspond au périmètre du secteur privé retenu dans les publications conjoncturelles des Urssaf sur les effectifs salariés et la masse salariale. Il est défini en partenariat avec l’Insee et la Dares dans le cadre des estimations trimestrielles d’emploi (ETE). Il est hors secteur agricole (AZ), hors activités extra-territoriales (UZ) et hors Mayotte. Ce champ couvre plus de 99 % du montant global de PPV déclaré par les établissements affiliés au régime général.
Les associations de jeunesse de la Fédération Wallonie-Bruxelles

Liste des associations de jeunesse reconnues en Fédération Wallonie-Bruxelles, plus précisément des centres de jeunesse (en ce compris les maisons de jeunes, les centres de rencontre et d’hébergement et les centres d’information), des coordinations des écoles de devoirs, des opérateurs de formation pour les animateurs et les coordinateurs, et des organisations de jeunesse (services, mouvements thématiques et fédérations).
Les associations de jeunesse en Brabant wallon

Liste des associations de jeunesse reconnues en Fédération Wallonie-Bruxelles, plus précisément des centres de jeunesse (en ce compris les maisons de jeunes, les centres de rencontre et d’hébergement et les centres d’information), des coordinations des écoles de devoirs, des opérateurs de formation pour les animateurs et les coordinateurs, et des organisations de jeunesse (services, mouvements thématiques et fédérations).
EITB FOCUS 2024/09 - CAV and CFN

Study conducted by EITB in the Basque Autonomous Community and Navarre in September 2024 on the occasion of the start of the 2024–2025 political term. It collects responses on the awareness and evaluation of the lehendakari, the President of the Government of Navarre and parliamentary leaders of both autonomous communities, as well as on satisfaction with regional government coalition agreements and government priorities. It includes evaluations of the mayors of the four regional capitals and responses on security, immigration and housing. The information is obtained through telephone interviews with a representative sample of the population of the Basque Autonomous Community and Navarre.
Structures d'accompagnement Visa

Depuis 2008, la Région Bretagne soutient les accompagnements aux usages numériques dans le cadre du Visa Numérique Bretagne. Ce dispositif financé par la Région vise à accompagner gratuitement les Bretonnes et les Bretons pour les aider à devenir autonomes dans leurs usages numériques. Ce jeu de données présente les structures qui proposent des accompagnements aux usages numériques.
Meteo – pericolosità idraulica Direttiva alluvioni

Cartografia che rappresenta la delimitazione delle aree potenzialmente inondabili con probabilità di accadimento bassa (P1), Media (P3), Alta (P3), come previsto dalla Dir. EU 2007/60/CE art. 6 - secondo ciclo, relativamente all'ambito del reticolo naturale principale (RP, asta di Po e affluenti principali emiliani) dell' Unit of Management UoM (ITN008), su cui competente l'Autorit di Bacino distrettuale del fiume Po, determinate in base a modellazione idrologico-idraulica, metodi geomorfologici e metodi semplificati tenendo conto di nuove conoscenze e studi pi approfonditi intervenuti dal 2013 in poi. La mappa non tiene conto della eventualit che si verifichino possibili fenomeni di rottura arginale (rischio residuale).
Long Term Development Statement (LTDS) Infrastructure Projects

## Introduction This list outlines the current plans for the development of UK Power Networks' three license areas over the next five years, as detailed in the latest Long Term Development Statement (LTDS) Development Proposals. The LTDS is updated twice a year, at the end of May and November. Please note that these plans may change in both content and timing. All listed projects aim to increase network capacity, while those focused solely on asset replacement are not included. For more information and full reports, visit the landing page below: [Long Term Development Statement Landing Page] ## Methodological Approach * FLOC association: FLOCs are used to associate the LTDS infrastructure upgrade projects to grid and primary substations, to create geopoints. ## Quality Control Statement Quality Control Measures include: * Verification steps to match features only with confirmed functional locations. * Manual review and correct of data inconsistencies * Use of additional verification steps to ensure accuracy in the methodology ## Assurance Statement The Open Data Team and Network Insights Team worked together to ensure data accuracy and consistency. ## Other You can also download dataset information here: [Metadata (JSON)]. Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: [https://ukpowernetworks.opendatasoft.com/pages/glossary/] To view this data please register and login.
Tree surveys of Blois forest - IMPRINT

[Lien vers la fiche source] Data from the ANR IMPRINT Project (2019-2023) : dendrometric inventories of each plot (60) of Blois forest. We conducted dendrometric surveys during summer 2020, using one of two methods, depending on the mean tree diameter (see below for more details). In each plot, we obtained information at the tree or tree species level.
LTDS Documents

Our LTDS Documents dataset contains download links for the LTDS pdf report, and the summaries for NPg's Northeast and Yorkshire Licence Areas. These can be downloaded from under the "Alternate Exports" header on the [export page]. The summary documents can also be downloaded from the attachments below. Related Feature Pages [Long-Term Development Statement (LTDS)] - Our LTDS provides essential network and asset information required to carry out studies of the NPg network to access potential connection points. Glossary of Terms Our [Glossary] dataset provides definitions for various terms and acronyms found throughout our data. If the term you are searching for isn't in our list, please let us know via our [Open Data team] and we will get it added! Data Governance If you wish to view the data triage document for any dataset, they can be found in our [Data Triage Assessment] dataset. This dataset DOES require a login to view Any data caveats for the dataset are listed below - None
Liste des IDESS agréées

Une IDESS (Initiative de Développement de l’Emploi dans le Secteur des Services de proximité à finalité sociale) est une structure qui offrent des services de proximité, principalement destinés aux personnes précarisées. Leur objectif est de répondre à des besoins qui sont trop petits pour intéresser les entreprises classiques. Découvrez la liste des IDESS en Wallonie, les services qu'elles proposent et les conditions pour y avoir accès.
A gridded sea surface salinity data set for the Pacific Ocean

[Lien vers la fiche source] The gridded Sea Surface Salinity (SSS) data set covers the region between 120°E – 70°W and 30°N – 30°S in the Pacific Ocean. It is based on available data collected from 1950 to 2009 mostly from Voluntary Observing Ships, TAO/TRITON moorings and Argo profilers, with complementary hydrocasts, STD, and CTD data collected during research cruises, and subsequently validated. This monthly SSS product is gridded using an objective mapping at the spatial resolution 1° x 1°. It is distributed with its associated error fields. It is an update of the SSS product presented in Delcroix et al (2011).
FES2014 altimetric corrections

[Lien vers la fiche source] Ocean tide and loading altimetric corrections computed - with SIROCCO Tools : https://sirocco.obs-mip.fr/other-tools/prepost-processing/comodo-tools - from FES2014 atlases : https://doi.org/10.6096/3001 - for all altimetric missions. Validation available at ftp://ftp.legos.obs-mip.fr/pub/ecola/FES2014/CTOH/2021-02-diff-libfes-tools.pdf
Historical Sea Surface Salinity data in the Southern Ocean

[Lien vers la fiche source] These data have been collected in the Southern Ocean between Tasmania and Antarctica from 1993 to 2002 with a thermosalinograph on board L’Astrolabe and validated by the national Sea Surface Salinity Observation Service (SSS-OS) at the Laboratoire d'Etudes en Geophysique et Oceanographie Spatiale (LEGOS), Toulouse, France. The SURVOSTRAL project (https://www.legos.omp.eu/survostral/) is an international collaboration between France (IPEV, LEGOS), Australia (CSIRO) and the US (Scripps, NOAA).
Bin-averaged SSS in the Atlantic Ocean

[Lien vers la fiche source] The annually binned Sea Surface Salinity data set covers a large part of the Atlantic Ocean (75°W-10°E, 20°S-70°N). It is based on salinity near-surface data collected since December 1895 to 2016 from all data sources, including Voluntary Observing Ships subsequently validated. This annual product presents Atlantic SSS 32 grid box anomaly and error time-series (for boxes 1 to 26, year 2016 not smoothed 1-2-1), as well as Atlantic SSS grid box coordinates and March-May mean climatology. The SSS binned time series are an update from the 1896-2013 time series (Friedman et al., 2017).
Energy consumption in the Geographical area 143704 (Tavleliden)

Anonymiserad förbrukningsdata från Umeå Energi per nyckelkodsområde i Umeå Kommun. Detta data bör inte ses som exakta och kompletta förbrukningsvärden utan mer som en kvalificerad uppskattning av förbrukningen i syfte att se trender och indikationer. Datafilerna kommer endast innehålla värden för fastigheter i Umeå kommun där Umeå Energi är nätägare och informationen inte anses vara olämplig för distribution. Uppdateras normalt en gång varje månad med nytillkomna värden. Frågor kring detta förbrukningsdata hänvisas till matdata.datalager@umeaenergi.se
Arctic and Antarctic sea ice thickness climate data record (ERS-1, ERS-2, Envisat, CryoSat-2)

[Lien vers la fiche source] Sea ice thickness climate data record based on altimetry missions : ERS-1, ERS-2, Envisat and CryoSat-2. Data are available as EASE2-grid monthly maps with a spatial resolution of 12.5 km covering the period 1994-2023. The dataset also includes radar freeboard, sea ice freeboard, total freeboard, sea ice thickness as well as external variables such as sea ice density and sea ice concentration. Uncertainty are estimated using an ensemble approach and are distributed as statistics on the corresponding ensemble (mean, median, std, quantiles and percentiles).
Annually binned Sea Surface Salinity, Temperature and Density in the North Atlantic subpolar gyre (40°N-70°N)

[Lien vers la fiche source] The annually binned Sea Surface Salinity, Temperature and Density data set covers a large part of the North Atlantic subpolar gyre. It is based on T and S near-surface data collected since December 1895 to August 2018 from all data sources, including Voluntary Observing Ships subsequently validated. This annual product presents deviations from a climatological seasonal cycle and has furthermore been smoothed in time with a 1/4, 1/2, 1/4 running-mean filter. Density time series are estimated from those annual time series, considering winter (D-J-F) climatology. Uncertainty estimates due to sampling are also provided. Data for December 2017-August 2018 are also reported as 2018, but are temporary and should not be used without further check. Long gaps have been filled by linear interpolation, and are attributed largest error.
Monthly binned sea surface salinity, temperature, and density in the North Atlantic subpolar gyre

[Lien vers la fiche source] The binned Sea Surface Salinity, Temperature and Density data set covers regularly sampled ship-of-opportunity lines. It is based on data collected from 1993 to 2018 from Voluntary Observing Ships subsequently validated. This monthly product is binned with monthly total values deviations and then deviations from climatology in each bin, with additional 1-2-1 time filter applied on the averages. Along B-AX01, some gaps were filled with additional data located one degree north or south of the grid boxes.
Historical Sea Surface Salinity data in the Tropical Oceans

[Lien vers la fiche source] This compilation of Sea Surface Salinity data collected in the three tropical oceans (30°N–30°S) is derived mainly from 13 trans-oceanic Voluntary Observing Ships tracks and from 35 TAO/TRITON and 13 PIRATA mooring sites. Details about validation procedures can be found in the reference publication.
Mean vertical sections of zonal currents in the Tropical Pacific

[Lien vers la fiche source] Mean subthermocline and intermediate zonal currents meridional sections are produced at several longitudes across the Tropical Pacific, from 18°S to 18°N and 0 to 2000m depth. They are based on a compilation of shipboard ADCP measurements, and absolute geostrophic velocities constructed from a high-resolution 0–2000-m Argo climatology referenced to a 1000-m velocity field derived from Argo float drifts. Description 1) SADCP data obtained from ships transiting in the low-latitude tropical Pacific, during 1999–2015 (see Cravatte et al., 2017, 190 cruises) are compiled. Most of the data (128 cruises) were provided by the Joint Archive for Shipboard ADCP (JASADCP) at the University of Hawaii, with a large fraction from the NOAA ship Ka’imimoana, servicing the TAO array of moored buoys. All data retrieved from the JASADCP center were from their ‘‘standard subset’’ containing hourly averages interpolated to a 10-m vertical grid. For the other datasets, SADCP data were provided as 5- to 15-min temporal averages with 5- to 24-m vertical resolution. They were then averaged and interpolated to the 1-h, 10-m vertical grid. The complete dataset was mapped on a 0.25° latitude by 1° longitude grid using a simple Gaussian weighting function with 0.25° latitude and 3° longitude decorrelation scales, independent of the timing of the measurements, with windows of 0.5° of latitude and 6° of longitude. 2) The mean Argo temperature and salinity gridded climatology with a 1/6° resolution (Roemmich and Gilson 2009 was used to compute dynamic height anomalies. Derived zonal geostrophic shear both on and off the equator were computed following the method presented by Picaut and Tournier (1991) using a 1000-m reference level. The 1000-m Argo float drift then provided the constant of integration for vertically integrating the geostrophic shear to obtain a field of mean absolute geostrophic velocity.
A gridded sea surface salinity data set for the Atlantic Ocean

[Lien vers la fiche source] The gridded Sea Surface Salinity (SSS) data set covers the region between 95°W – 20°E and 50°N – 30°S in the Atlantic Ocean. It is based on available data collected from 1970 to 2016 mostly from Voluntary Observing Ships, PIRATA moorings and Argo profilers, and subsequently validated. This monthly SSS product is gridded using an objective mapping at the spatial resolution 1° x 1°. It is distributed with its associated error fields. It is an update of the SSS product presented in Reverdin et al (2007).
Carte morpho-bathymétrique de la mer Méditerranée

[Lien vers la fiche source] The systematic swath bathymetric mapping of the Mediterranean Sea started in the mid-nineties. This mapping has considerably modified our understanding of the morphology of the Mediterreanean Sea and of the various active geological processes (sedimentary, tectonic, volcanic, bio-geochemical processes) which participate to the seafloor morphology. Observing strategy: This summary provides an overall picture of the morphology of the Mediterranean area and its continental environment, the Gulf of Cadiz to the eastern shores of the Mediterranean and Black Sea. Brosolo,L., Mascle,J., Loubrieu,B., 2012, Morphobathymetric Map of the Mediterranean Sea, publication CCGM/CGMW, UNESCO, Paris. © CCGM-CGMW 2012 - ISBN 978-2-917310-12-0 This map results from the compilation of the following DTMs and complementary data: - The basic DTM is the one used for the Morpho-bathymetric compilation of the Mediterranean Sea published by Loubrieu,B., Mascle,J. and Medimap group, (2007), « Morpho-bathymetry of the Mediterranean Sea », CIESM/Ifremer special publication. This compilation resulted from various DTMs from swath bathymetric data sets recorded between 1995-2007 by several European oceanographic laboratories and Institutes (see: http://www.ciesm.org/). - This DTM has been completed by unpublished swath bathymetry data from IFREMER, SHOM, GEOAZUR, OGS-Trieste, ISMAR-Bologna, CMCR- Hamburg and, off Egypt, by a few 3D seismic data first arrivals from Industry (BP-Egypt, ENI, OMV). A few complementary data have been downloaded from the EMODNET European project portal ((www.emodnet-hydrography.eu/) - For the Gulf of Cadiz the compilation has benefited from a DTM at 500 m from various swath data published by Zitellini, N., Gracia, E., et a., (2009), « Bathymetry of the Gulf of Cadiz, North-East Atlantic: the Swim Multibeam compilation », Earth and Planetary Sciences Letters, 280: 15-50.doi: 10.1016/j.epsl.2008.12.005. - For the Black Sea, the swath bathymetric data were obtained during the European project ASSEMBLAGE. - For the Bay of Biscay a DTM at 1000m, from Sibuet, J.C., Loubrieu, B., & al. (2004) « Carte bathymétrique de l’Atlantique nord-est et du Golfe de Gascogne: implications cinématiques », Bull. Soc. Géol. Fr., has been used. - For areas not yet mapped in details (or whose data are not yet available) in the Mediterranean Sea, and in the Black Sea a DTM, at 1500m, from the GEBCO atlas has been used to complete the map (General Bathymetric Chart of the Oceans; http://www.gebco.net/data_and_products/gebco_digital_atlas/) - On land the topography is extracted from SRTM 33’’ (Shuttle Radar Topography Mission, NASA); DTM at 90m.
LTDS Capacity Heatmap

Our LTDS Capacity Heatmap provides a standardised view of available generation and demand capacity, constraints, and recent connection activity, and allows this to be displayed geographically. This will support users in performing analysis on pre-computed capacity and geographical data without requiring electrical network analysis techniques. This is the first publication of the LTDS Capacity Heatmap as defined in [Long Term Development Statement direction | Ofgem]. For further details on the data structure and requirements, please see [Capacity Heatmaps Appendix 1 - Information Model]. Related Feature Pages [Long-Term Development Statement (LTDS)] - Our LTDS provides essential network and asset information required to carry out studies of the NPg network to access potential connection points. [Network Heat maps — Open Data | Northern Powergrid] - Our Heat Maps provide a high level overview of network availability using a traffic light system. Glossary of Terms Our [Glossary] dataset provides definitions for various terms and acronyms found throughout our data. If the term you are searching for isn't in our list, please let us know via our [Open Data team] and we will get it added! Data Governance If you wish to view the data triage document for any dataset, they can be found in our [Data Triage Assessment] dataset. This dataset DOES require a login to view Any data caveats for the dataset are listed below - None
Marine Biodiversity by Ocean Area – Ocean Biodiversity Information System

Marine biodiversity indicators for ocean areas worldwide — exclusive economic zones, high seas (ABNJ) and ecologically significant areas (EBSA) — built from Ocean Biodiversity Information System (OBIS) the IOC-UNESCO global marine biodiversity database. For each area it summarises how many species and taxa have been recorded, the volume of observations, the share of IUCN-threatened species, and the time span of records, helping researchers, policymakers and the public assess and compare marine life across regions and support ocean conservation and SDG 14.
French hospital dataset 2013-2021

[Lien vers la fiche source] This Dataset provides agregated data on 1111 hospitals in France over the years 2013-2021. It uses the SNDS/PMSI-MCO, SAE and ENC as data sources. It can be used to replicate: "Does Virtual Integration Improve Care Coordination? Assessing the Impact of the 2016 Public Hospitals Reform in France"