AndreaBozzo/ceres-open-data-index huggingface dataset:
Assessment of contamination status of biota using CHASE+, Mar. 2019

[Lien vers la fiche source] This data set presents the resulting assessment grid (based on the EEA reference grid) with the classification of chemical status of the transitional, coastal and marine waters in the context of the Water Framework Directive (WFD) and the Marine Strategy Framework Directive (MSFD), with a mapping of contamination 'problem areas' and ‘non-problem areas’ based on measurements in the matrix 'biota'. This classification has been performed using the CHASE+ tool, with classifications of the biota matrix. The chemical status is evaluated in five classes, where NPAhigh and NPAgood are recognised as ‘non-problem areas’ and PAmoderate, PApoor and PAbad are recognised as ‘problem areas’. Monitoring and assessment for the matrix 'biota' has been carried out in the North-East Atlantic Ocean (482 assessment units), Baltic sea (198 assessment units), Mediterranean Sea (161 assessment units) and Black sea (12 assessment units). This data set underpins the findings and cartographic representations published in the EEA report “Contaminants in Europe’s seas” (No 25/2018): https://www.eea.europa.eu/publications/contaminants-in-europes-seas. See the mentioned report for further information as well as examples of classification excluding specific groups of substances (e.g. metals, PBDEs).
Area inundated with 1m sea level rise, Jan. 2020

[Lien vers la fiche source] The dataset shows the percentage of cities' administrative area (core city based on the Urban Morphological Zones dataset) inundated by the sea level rise of 1 metre, without any coastal flooding defences present for a series of individual coastal European cities (included in Urban Audit). The dataset has been computed using the CReSIS (Centre for Remote Sensing of Ice Sheets) dataset for 2018.
Extraction of species by commercial fishing in Europe Seas, Jan. 2020

[Lien vers la fiche source] This raster dataset provides the estimation of the extracted tonnes of fish by commercial fishing per 10 km grid cell in the European seas. The dataset has been derived from the combination of demersal and pelagic fishing data, together with fish landings data (2011-2016) from the European Commission’s Joint Research Centre - Independent experts of the Scientific, Technical and Economic Committee for Fisheries (JRC STECF). The temporal extent varies between the data sources. The cell values have been transformed to a logarithmic scale (ln1). This dataset has been prepared for the calculation of the combined effect index, produced for the ETC/ICM Report 4/2019 "Multiple pressures and their combined effects in Europe's seas" available on: https://www.eionet.europa.eu/etcs/etc-icm/etc-icm-report-4-2019-multiple-pressures-and-their-combined-effects-in-europes-seas-1.
Conservation status of species 2001-2006, Jul. 2009

[Lien vers la fiche source] Gridded Distribution of Species as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2001 to 2006. The data covers the EU 25. All Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest. Article 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2001-2006 for the first time includes assessments on the conservation status of the habitat types and species of Community interest. Information on the data quality of the 2001-2006 reporting round is available at http://bd.eionet.europa.eu/article17.
EUNIS Littoral biogenic habitat types (salt marshes), distribution based on vegetation plot data - version 1, Nov. 2021

[Lien vers la fiche source] This metadata corresponds to the EUNIS Littoral biogenic habitat types (salt marshes), distribution based on vegetation plot data dataset. Littoral biogenic habitats (commonly known as salt marshes) are formed by animals such as worms and mussels or plants. The verified saltmarsh habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database. The geographic extent of the distribution data are all European countries except Armenia and Azerbaijan. The dataset is provided both in Geodatabase and Geopackage formats.
Coastal zones derived from Corine Land Cover classes 52x (raster 100m), Dec. 2011

[Lien vers la fiche source] Coastal zones are presented as a series of 10 consecutive buffers of 1km width each (towards inland). For this dataset, were treated as sea data all areas with class values of 52x (521: coastal lagoons, 522: estuaries, 523: sea and ocean) in Corine Land Cover (details in lineage).
Input of microbial pathogens along European coastlines, Jan. 2020

[Lien vers la fiche source] This raster dataset represents the input of microbial pathogens along the European coastlines. The pressure layer was created using three different datasets rasterized using the EEA 10 km grid: urban agglomerations reported under the Urban Waste Water Treatment Directive (2017), EMODnet dataset of ports lying on the sea coast together with passenger information (annual average 2006-2016) and Intestinal enterococci and Escherichia coli data at bathing sites as measured under the Bathing Water Directive reporting obligation (average 2008-2016). All three datasets were then classified into four classes, aggregated and classified again (quantile classes between 0 and 1, with the latter being the highest pathogen pressure). This dataset has been prepared for the calculation of the combined effect index, produced for the ETC/ICM Report 4/2019 "Multiple pressures and their combined effects in Europe's seas" available on: https://www.eionet.europa.eu/etcs/etc-icm/etc-icm-report-4-2019-multiple-pressures-and-their-combined-effects-in-europes-seas-1.
EUNIS coastal habitat types, predicted distribution of habitat suitability - version 1, Nov. 2021

[Lien vers la fiche source] This metadata corresponds to the EUNIS Coastal habitat types, predicted distribution of habitat suitability dataset. Coastal habitats are those above spring high tide limit (or above mean water level in non-tidal waters) occupying coastal features and characterised by their proximity to the sea, including coastal dunes and wooded coastal dunes, beaches and cliffs. Includes free-draining supralittoral habitats adjacent to marine habitats which are normally only very rarely subject to any type of salt water, in as much as they may be inhabited predominantly by terrestrial species, strandlines characterised by terrestrial invertebrates and moist and wet coastal dune slacks and dune-slack pools. Supralittoral sands and wracks may be found also in marine habitats (M). Excludes supralittoral rock pools and habitats, the splash zone immediately above the the mean water line, as well the spray zone and zone subject to sporadic inundation with salt water in as much as it may be inhabited predominantly by marine species, which are included in marine (M). The modelled suitability for EUNIS coastal habitat types is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. As predictors for the suitability modelling not only climate and soil parameters have been taken into account, but also so-called RS-EVB's, Remote Sensing-enabled Essential Biodiversity Variables, like land use, vegetation height, phenology, and LAI (Leaf Area Index). Because the EBV's are restricted by the extent of the remote sensing data (EEA38 countries and the United Kingdom) the modelling result does also not go beyond this boundary. The dataset is provided both in Geodatabase and Geopackage formats.
Assessment of contamination status using CHASE+ excluding mercury (Hg) and PBDEs, Mar. 2019

[Lien vers la fiche source] This dataset presents the resulting assessment grid (based on the EEA reference grid) with the classification of chemical status of the transitional, coastal and marine waters in the context of the Water Framework Directive (WFD) and the Marine Strategy Framework Directive (MSFD). This classification has been performed using the CHASE+ tool, with classifications of the matrices ‘water’, ‘sediment’ and ‘biota’ and indicators of ‘biological effects’, as well as an integrated classification of chemical status, combining results of all matrices. The chemical status is evaluated in five classes, where NPAhigh and NPAgood are recognised as ‘non-problem areas’ and PAmoderate, PApoor and PAbad are recognised as ‘problem areas’. This is the assessment made excluding concentrations of mercury (Hg) and polybrominated diphenyl ethers (PBDEs) The overall area of interest used is based on the marine regions and subregions under the Marine Strategy Framework Directive. Additionally, Norwegian (Barent Sea and Norwegian Sea) and Icelandic waters (’Iceland Sea’) have been added (see Surrounding seas of Europe). Note that within the North East Atlantic region only the subregions within EEZ boundaries (~200 nm) have been included. This dataset underpins the findings and cartographic representations published in the report "Contaminants in Europe's Seas" (EEA, 2019): https://www.eea.europa.eu/publications/contaminants-in-europes-seas.
Combined effects of sea-based pressures on marine species and habitats in Europe's seas, Jun. 2020

[Lien vers la fiche source] The dataset presents the potential combined effects of sea-based pressures on marine species and habitats estimated using the method for assessment of cumulative effects, for the entire suite of pressures and a selected set of marine species groups and habitats by an index (Halpern et al. 2008). The spatial assessment of combined effects of multiple pressures informs of the risks of human activities on the marine ecosystem health. The methodology builds on the spatial layers of pressures and ecosystem components and on an estimate of ecosystem sensitivity through an expert questionnaire. The raster dataset consists of a division of the Europe's seas in 10km and 100 km grid cells, which values represents the combined effects index values for pressures caused by sea-based human activities. The relative values indicate areas where the pressures potentially affect the marine ecosystem. This dataset underpins the findings and cartographic representations published in the report "Marine Messages" (EEA, 2020).
Conservation status of habitat types and species: datasets from Article 17, Habitats Directive 92/43/EEC reporting (2013-2018) - PUBLIC VERSION - Aug. 2020

[Lien vers la fiche source] All Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species listed in its annexes and send a report every 6 years following an agreed format. The assessment of conservation status is based on information about the status and trends of species populations and of habitats at the level of the biogeographical or marine region. The spatial dataset contains habitat and species distribution data (10km grid cells) as reported by Member States for the 2013-2018 period. This metadata refers to the public dataset, without sensitive species. The data sets are divided in two sets for species and two sets for habitat types. Species: ART17 species distribution MS (by Member State) ART17 species distribution EU (European Union aggregate) Habitats: ART17 habitats distribution MS (by Member State) ART17 habitats distribution EU (European Union aggregate) Both MS datasets are aggregated by habitat/species code, country and biogeographical /marine region [CO_MS_RE]. Using this attribute [CO_MS_RE] the tabular conservation status, which is available in the table, per biogeographical/marine region of the Member State level (MS) can be joined directly to the spatial dataset. Both EU datasets are aggregated by habitat/species code and biogeographical /marine region [CO_RE]. Using this attribute [CO_RE] the tabular conservation status, which is available in the table, of the biogeographical/marine region of the EU-28 level (EU) can be directly joined to the spatial dataset. Further description of the Article 17 tabular and spatial dataset and a Article 17 web tool can be accessed with the download data.
OV Haltes Den Haag

* Beschrijving: De OV-halte kaart is een samengesteld product van leveringen van diverse exploitanten die in de gemeente Den Haag opereren. De brondata is afkomstig van het NDOV loket en vervolgens bewerkt door DSO/PSO van de gemeente Den Haag. * Doel registratie: Beheer openbare ruimte * Beperkingen: Deze dataset is niet geschikt voor juridische of landmeetkundige doeleinden * Mogelijkheden: Deze dataset is geschikt voor het inzichtelijk maken van de locatie op de kaart * Coördinatenstelsel: RDnew. De KML is WGS84
Hépatite B : Diagnostics d'hépatite B aiguë (Région)

L’hépatite B aigüe est devenue maladie à déclaration obligatoire (MDO) en 2003. Les données de surveillance de l’hépatite B aigüe sont transmises à Santé publique France par les biologistes et les cliniciens. Le jeu de données fournit les effectifs annuels de cas d’hépatite B aiguë notifiés dans le cadre de la déclaration obligatoire (DO). Précisions : * Le nombre de cas au niveau national peut être supérieur à la somme du nombre de cas par région car les cas dont le département de résidence n’est pas mentionné ou ne résidant pas en France sont comptabilisés dans les données nationales uniquement. * Les cas inclus correspondent aux sujets pour lesquels le volet clinique du formulaire de déclaration obligatoire a été complété par le clinicien prescripteur afin d’exclure de la surveillance les éventuels cas de réactivation d’hépatite B chronique. * Les effectifs de cas notifiés ne sont pas représentatifs de l’ensemble des diagnostics d’hépatite B aigüe, du fait de la faible exhaustivité de la déclaration obligatoire (estimée à 27% en 2016), et d’une possible variabilité de cette exhaustivité d’une région à l’autre, ce qui limite les possibilités de comparaison entre les régions.
Participation à un Groupe d'action locale (GAL) de WalStat

L’indicateur précise si la commune fait partie d'un Groupe d'action locale (GAL). Pour la période 2007-2013, les critères de constitution d’un GAL sont les suivants : 1. Le GAL est composé de partenariats public-privé (institutions locales, associations, particuliers, ...) avec au moins 50% de partenaires privés et au moins 3 communes 2. Le territoire couvert doit avoir une densité de population de moins de 150 hab/km² ou avoir plus de 80 % de surfaces non artificialisées 3. La population doit être comprise entre 10000 et 50000 habitants. Etant donné que les critères se calculent sur le territoire du GAL, il est impossible de savoir si un commune est éligible ou pas. Pour la période 2014-2020, les critères de constitution d’un GAL sont les suivants : 1. Le GAL est composé de partenariats public-privé (institutions locales, associations, particuliers, ...) avec au moins 50% de partenaires privés et au moins 3 communes 2. Le territoire couvert doit avoir une densité de population de moins de 150 hab/km² ou avoir plus de 80 % de surfaces non artificialisées 3. La population doit être comprise entre 10000 et 70000 habitants. Etant donné que les critères se calculent sur le territoire du GAL, il est impossible de savoir si un commune est éligible ou pas. Plus d’infos : "[\2](\1)", "[\2](\1)". [http://walstat.iweps.be/fichiers/metadonnees/meta-811305.pdf]
Bycatch by bottom touching mobile gears in Europe Seas, Jan. 2020

[Lien vers la fiche source] The raster dataset represents bycatch fishing intensity (kilowatt per fishing hour) from bottom touching mobile gears in the European seas. The dataset has been derived from Automatic Identification System (AIS) based demersal fishing intensity data received from the European Commission’s Joint Research Centre - Independent experts of the Scientific, Technical and Economic Committee for Fisheries (JRC STECF) as well as Vessel Monitoring System (VMS) and logbook based demersal fishing intensity data downloaded from from OSPAR and HELCOM Commissions. The temporal extent varies between the data sources (between 2014 and 2017). OSPAR and HELCOM data superseded the JRC STECF data where they overlapped spatially. The cell values have been transformed into a logarithmic scale (ln1). This dataset has been prepared for the calculation of the combined effect index, produced for the ETC/ICM Report 4/2019 "Multiple pressures and their combined effects in Europe's seas" available on: https://www.eionet.europa.eu/etcs/etc-icm/etc-icm-report-4-2019-multiple-pressures-and-their-combined-effects-in-europes-seas-1.
Légionellose : Données de la déclaration obligatoire (Département)

Les indicateurs de la surveillance de la légionellose sont construits à partir des informations de la déclaration obligatoire (DO), transmises aux Agences régionales de santé (ARS), puis centralisées par Santé publique France. Les taux sont rapportés à la population résidente du territoire considéré, estimée à partir des estimations localisées de population fournies par l’Insee pour une année donnée. Les indicateurs de surveillance de la légionellose sont mis à jour annuellement et disponibles à partir de l’année 1998. Précisions : * Tous les cas répondant à la définition des cas en vigueur au moment de leur survenue ont été inclus dans l’analyse et sont classés selon le département de domicile du cas et la date de survenue de la maladie. * Ne sont pas inclus les cas diagnostiqués à l’étranger ainsi que les cas dont le code postal de résidence n’a pu être précisé au moment de la déclaration. * Les taux de notification sont des taux bruts non corrigés pour la sous-notification. Pour aller plus loin : Consulter le dossier Légionellose sur le site de Santé publique France : [https://www.santepubliquefrance.fr/maladies-et-traumatismes/maladies-et-infections-respiratoires/legionellose]
Corpus de récits associatifs du projet 'Ce qui nous concerne' - Zone Atelier Armorique ZAAr

[Lien vers la fiche source] Un corpus de récits collectés avec des membres des associations et des tiers lieux à Rennes. Le corpus est regroupé par nom d'association et puis par narrateur.rice. Chaque dossier comprend les métadonnées pour l'entretien en .csv, et, par récit, un document de transcription, un document image .jpg et un document de présentation synthétique du récit. Le corpus permet d'apprécier les récits qui circulent dans le domaine associatif et la société civile.
Smart Meter Penetration (SPEN_022) Data Quality Checks

This data table provides the detailed data quality assessment scores for the Smart Meter Penetration dataset. The quality assessment was carried out on the 9th of October 2025. At SPEN, we are dedicated to sharing high-quality data with our stakeholders and being transparent about its' quality. This is why we openly share the results of our data quality assessments. We collaborate closely with Data Owners to address any identified issues and enhance our overall data quality. To demonstrate our progress we conduct, at a minimum, bi-annual assessments of our data quality - for datasets that are refreshed more frequently than this, please note that the quality assessment may be based on an earlier version of the dataset. To learn more about our approach to how we assess data quality, visit [Data Quality - SP Energy Networks]. We welcome feedback and questions from our stakeholders regarding this process. Our Open Data Team is available to answer any enquiries or receive feedback on the assessments. You can contact them via our Open Data mailbox at [opendata@spenergynetworks.co.uk]. The first phase of our comprehensive data quality assessment measures the quality of our datasets across three dimensions. Please refer to the data table schema for the definitions of these dimensions. We are now in the process of expanding our quality assessments to include additional dimensions to provide a more comprehensive evaluation and will update the data tables with the results when available. ### Disclaimer The data quality assessment may not represent the quality of the current dataset that is published on the Open Data Portal. Please check the date of the latest quality assessment and compare to the 'Modified' date of the corresponding dataset. The data quality assessments will be updated on either a quarterly or annual basis, dependent on the update frequency of the dataset. This information can be found in the dataset metadata, within the Information tab. If you require a more up to date quality assessment, please contact the Open Data Team at [opendata@spenergynetworks.co.uk] and a member of the team will be in contact.
Agence Bio - Opérateurs Biologique - 2008 à 2024

Données Opérateur Nombre d'opérateurs par commune. Tous les opérateurs sont localisés par la commune de leur siège social: Producteur: Producteurs (yc les producteurs ayant une autre activité : transformation à la ferme, magasin de producteurs...) Transformateurs: Transformateurs ou restaurants (yc les transformateurs ayant une autre activité : transformateurs-distributeurs ou transformateurs-importateurs) Distributeurs: Distributeurs (yc les distributeurs ayant une activité d'importation : distributeurs-importateurs...) Importateurs ATTENTION : Données pouvant être incomplètes, les surface et les cheptels sont en moyenne sous évaluées de 10% et certains organismes certificateurs ne transmettent pas leurs données. Néanmoins, les tendances restent représentatives du territoire. Source: Agence bio
Actividad de pediatría a nivel de Zona Básica de Salud - 2020/2021

Nº de consultas realizadas por pediatras según la fecha, zona básica de salud, el ámbito, el área, la provincia, la edad y sexo del paciente y el tipo de atención durantes los años 2020 y 2021. La información se presenta agrupada en columnas: Fecha, Código Zona Básica de Salud, Zona Básica de Salud, Ámbito de procedencia, Área, Provincia, Edad, Sexo, Tipo de atención, Nº de Consultas. Frecuencia de actualización: Mensual. Se actualiza el día 8 de cada mes.
Frais de représentation du Maire

Les frais de représentation ont pour objet de couvrir des dépenses supportées par le Maire dans l’exercice de ses fonctions et dans l’intérêt des affaires de la commune. Ils sont prévus par l’Article L2123-19 du CGCT qui dispose que « le conseil municipal peut voter, sur les ressources ordinaires, des indemnités au maire pour frais de représentation. » Années couvertes : 2023-2024 Ce jeu de données remplace le jeu créé en octobre 2024 id "publication frais de représentation"