AndreaBozzo/ceres-open-data-index huggingface dataset:
Vocabulary for analysis and experimentation on terrestrial and aquatic ecosystems

[Lien vers la fiche source] The anaeeThes thesaurus aims at providing a controlled vocabulary for the semantic description of the study of continental ecosystems and their biodiversity. It has been developed within the framework of the AnaEE-France infrastructure through an iterative process combining both top down and bottom up approaches: import of concepts from other thesauri and collection of concepts used in the AnaEE data bases and/or modeling platforms. The thesaurus consists of concepts handled in different main thematic areas:Abiotic (atmosphere, climate, hydrosphere, litosphere, …); Biotic (animals, plants, micro-organisms, biodiversity, …); Chemical compounds; Experimentation and observation (instrument, method, protocol, measurement, quality, infrastructure …); Ecosystems (type, structure, functioning …); Modeling (formalism, platform, type of model, computer language …); Disciplines (disciplinary and scientific fields); Unit (units of the international system, inherited from the OBOE–standards ontology). anaeeThes contains 12 top concepts. It contains nearly 3320 concepts, of which about 1500 are also offered in French. 360 concepts are inherited from the OBOE-standards ontology, while 748 concepts about soils and their characteristics were created using the « Référentiel pédologique 2008 – AFES» and « World reference base for soil resources 2006 – FAO ». Approximately 400 concepts are mapped to Agrovoc and 280 to Gemet thesauri. Approximately 480 concepts have a definition.The hierarchy offers up to 8 depth levels. Although the headings of the first and second levels are now stable, it is still evolving, especially on the issue of translation and mapping/alignment.
OntoBiotope

[Lien vers la fiche source] OntoBiotope is an ontology of microorganism habitats. Its modeling principle and its lexicon reflect the biotope classification used by biologists to describe microorganism isolation sites (e.g. GenBank, GOLD, ATCC). OntoBiotope is developed and maintained by the Meta-omics of Microbial Ecosystems (MEM) network in which 30 microbiologists from INRA (French National Institute for Agricultural Research) from all fields of applied microbiology participate. The relevance of OntoBiotope terms is evaluated through the PubMedBiotope semantic search engine. It identifies and categorizes microbial biotopes in all PubMed abstracts by applying the ToMap method (Text to Ontology Mapping) to the OntoBiotope ontology. It also indexes 3,35 millions relations between taxa and their habitats.
PLU Évry-Courcouronnes

Le plan local d’urbanisme ou le PLU est le document de planification communale. Il est fondé par la loi Solidarité et Renouvellement Urbain (SRU) du 13 décembre 2000, en remplacement du Plan d’Occupation des Sols (POS). Le PLU en vigueur à Courcouronnes, dont la révision a été prescrite le 26 juin 2014, a été approuvé le 22 juin 2017 et modifié le 12 décembre 2019. Le PLU en vigueur à Evry, dont la révision a été prescrite le 26 juin 2014, a été approuvé le 26 septembre 2019. Ce jeu de données est également disponible, au standard CNIG v2017, sur le [Géoportail de l'Urbanisme].
Adresses des panneaux d'affichage des Conseils de Quartier

Liste des panneaux d'affichage des Conseils de Quartier. Le jeu de données précise: - Le type de panneau - L'adresse - Le conseil de quartier responsable du panneau - Les personnes à contacter Les lignes vides dans le jeu de données signifient qu'il n'y a pas de panneaux dans l'arrondissement en question. Consultez l'annuaire des conseils de quartier : [http://www.paris.fr/participez/participation-citoy...]
Circuits de randonnée VTT en Eure-et-Loir

Circuits de randonnée VTT en Eure-et-Loir : tracés et caractéristiques. Ce jeu de données agrège des données géographiques produites par le Conseil départemental d'Eure-et-Loir, avec des informations touristiques produites par Eure-et-Loir tourisme.
Extraction de métriques géomorphologiques sur les corridors fluviaux du bassin rhodanien (2009)

[Lien vers la fiche source] Couches vectorielles et raster décrivant un ensemble de métriques géomorphologiques (sinuosité, fond de vallée, pente, etc.) extraites à partir de traitements géomatiques appliqués sur les corridors fluviaux de 13 bassins fluviaux du bassin rhodanien français. Des fiches méthodologiques sont jointes au jeu de données.
Project Enable - Projections for Blue Badge Holders and Parking Bays

## Introduction As part of our Enable project, we estimated the projected number of on-street disabled parking bays and Blue Badge holders in our licence areas by 2030. This data is available at the Lower Layer Super Output Area (LSOA) level. We hope that this data will help local authorities and charge point operators plan for accessible transport provision for customers. This project started in March 2021 and concluded in March 2022. More information on what we're doing for accessible transport can be found at [UK Power Networks Accessible transport information hub] and [project-enable]. Please note, the dataset contains estimations and are not true values. ## Methodological Approach Details on the methodology can be found in the project report - [Project Enable]. ## Quality Control Statement Quality Control Measures include: * 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 Innovation Team worked together to ensure data accuracy and consistency. ## Other Download dataset information: [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/]
Grippe saisonnière : Volume quotidien de Doses

Données quotidiennes de distribution des doses de vaccins contre la grippe saisonnière dispensées par les officines sur la campagne en cours Méthodologie * Les données sont générées à partir d'un Panel de 14000 officines en France représentatives de toutes les typologies de pharmacie * Ces données sont extrapolées sur la France en fonction de cette typologie Description des indicateurs Nombre quotidien de doses de vaccins contre la grippe dispensés par les officines par typologie de patients à partir de la date de début de la campagne de vaccination pour l'année en cours .
Fietstelpaal Bataviabrug 2018 Gent

Deze dataset bevat de data van de fietstelpaal Bataviabrug van 2018. De metingen zijn per 5 minuten gegroepeerd in 3 waarden: * Totaal: totaal aantal gepasseerde fietsers * Hoofdrichting: aantal gepasseerde fietsers van Stapelplein naar Schipperskaai * Tegenrichting: aantal gepasseerde fietsers van Schipperskaai naar Stapelplein Locatie van de telpaal: [https://data.stad.gent/explore/dataset/fietstelpalen-gent/table/] No Data waarde: NaN De telpaal werd in gebruik genomen op 13 december.
Fietstelpaal Dampoort-Zuid 2018 Gent

Deze dataset bevat de data van de fietstelpaal Dampoort-Zuid van 2018. De metingen zijn per 5 minuten gegroepeerd in 3 waarden: * Totaal: totaal aantal gepasseerde fietsers * Hoofdrichting: aantal gepasseerde fietsers van Kasteellaan naar Land van Waaslaan * Tegenrichting: aantal gepasseerde fietsers van Land van Waaslaan naar Kasteellaan Locatie van de telpaal: [https://data.stad.gent/explore/dataset/fietstelpalen-gent/table/] No Data waarde: NaN De telpaal werd in gebruik genomen op 15 december.
BY_Geo_Keary_IrishSea_14m_WGS84

[Lien vers la fiche source] Description of measurements/samples, purpose for which they were collected, and the platforms/instrumentation and methods in collection GEO15_04 Irish Sea Drogheda 14m Globe DTM WGS 1984 projection Lowest Astronomical Tide (LAT). The GSI has been permitted to utilise the UKHO VORF (Vertical Offshore Reference Frame) sea surface model. This model allows the use of ‘GPS tides’ and the GSI has gridded this model to a 1km resolution around Ireland to 15km offshore for reducing all soundings to Lowest Astronomical Tide - LAT (VORF). By utilising ‘GPS tides’ there is no requirement to adjust for draft or squat as the water level is modelled over the seabed as measured to the WGS84 ellipsoid. This area was surveyed as part of the ongoing INFOMAR project (formerly Irish National Seabed Survey), a joint seabed mapping project between the Geological Survey Ireland and the Marine Institute. Survey work was conducted to standards and recommendations set out by INFOMAR, the International Hydrographic Organisation (IHO), the United Kingdom Hydrographic Office (UKHO) and the UK’s Maritime and Coastguard Agency (MCA). Please note the following: Data acquired prior to March 2011 were levelled to Lowest Astronomical Tide (LAT) using shifts derived from Proudman Oceanographic tidal model. Tidal height was derived using a network of offshore and onshore tide gauges. As such data are on average 0.54m deeper than the more recent UKHO Vertical Offshore Reference Frame (VORF) levelled data. We are currently updating the older datasets. Statement on the level of data processed and quality control, limitations on reliability INFOMAR bathymetry products generated to meet International Hydrographic Organization (IHO) standards to ensure gridded data positional accuracy in the horizontal (XY) and vertical (Z) frame. Arrangement of data Data has been processed and arranged into a GLOBE DTM grid using XYZ data. Spatial and temporal resolution of data within the dataset Image resolution is a 14m DTM grid. Length of time series Image created from data collected between 2015-10-01 and 2015-10-20 Amount of data expressed in number of stations, sites, observations, cores, months of recordings, miles of track or other units as appropriate Bathymetry image meets GLOBE DTM standard. Data provided under Creative Commons licence access and use conditions. Users of this data should provide the following attribution statement "Contains Irish Public Sector Data (Geological Survey Ireland; Marine Institute) licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) licence"
Fietstelpaal Gaardeniersbrug 2020 Gent

Deze dataset bevat de data van de fietstelpaal Gaardeniersbrug van 2020. De metingen zijn per 5 minuten gegroepeerd in 3 waarden: * Totaal: totaal aantal gepasseerde fietsers * Hoofdrichting: aantal gepasseerde fietsers van Wondelgem naar Gent * Tegenrichting: aantal gepasseerde fietsers van Gent naar Wondelgem Locatie van de telpaal: [https://data.stad.gent/explore/dataset/fietstelpalen-gent/table/] No Data waarde: NaN De telpaal werd in gebruik genomen op 15/7
Fietstelpaal Groendreef 2019 Gent

Deze dataset bevat de data van de fietstelpaal Groendreef van 2019. De metingen zijn per 5 minuten gegroepeerd in 3 waarden: * Totaal: totaal aantal gepasseerde fietsers * Hoofdrichting: aantal gepasseerde fietsers van Rooigemlaan naar Zuidkaai * Tegenrichting: aantal gepasseerde fietsers van Zuidkaai naar Rooigemlaan Locatie van de telpaal: [https://data.stad.gent/explore/dataset/fietstelpalen-gent/table/] No Data waarde: NaN Er is geen data van 11/11 tot en met 22/11 en van 28/12 tot en met 31/12
Fietstelpaal Groendreef 2018 Gent

Deze dataset bevat de data van de fietstelpaal Groendreef van 2018. De metingen zijn per 5 minuten gegroepeerd in 3 waarden: * Totaal: totaal aantal gepasseerde fietsers * Hoofdrichting: aantal gepasseerde fietsers van Rooigemlaan naar Zuidkaai * Tegenrichting: aantal gepasseerde fietsers van Zuidkaai naar Rooigemlaan Locatie van de telpaal: [https://data.stad.gent/explore/dataset/fietstelpalen-gent/table/] No Data waarde: NaN Data is beschikbaar vanaf 1/10
Fietstelpaal Groendreef 2020 Gent

Deze dataset bevat de data van de fietstelpaal Groendreef van 2020. De metingen zijn per 5 minuten gegroepeerd in 3 waarden: * Totaal: totaal aantal gepasseerde fietsers * Hoofdrichting: aantal gepasseerde fietsers van Rooigemlaan naar Zuidkaai * Tegenrichting: aantal gepasseerde fietsers van Zuidkaai naar Rooigemlaan Locatie van de telpaal: [https://data.stad.gent/explore/dataset/fietstelpalen-gent/table/] No Data waarde: NaN Er is geen data beschikbaar van 1/1 tot en met 7/1, van 24/1 tot en met 26/1 en van 16/2 tot 12/3
Fietstelpaal Dampoort-Zuid 2019 Gent

Deze dataset bevat de data van de fietstelpaal Dampoort-Zuid van 2019. De metingen zijn per 5 minuten gegroepeerd in 3 waarden: * Totaal: totaal aantal gepasseerde fietsers * Hoofdrichting: aantal gepasseerde fietsers van Kasteellaan naar Land van Waaslaan * Tegenrichting: aantal gepasseerde fietsers van Land van Waaslaan naar Kasteellaan Locatie van de telpaal: [https://data.stad.gent/explore/dataset/fietstelpalen-gent/table/] No Data waarde: NaN
Fietstelpaal Dampoort-Zuid 2020 Gent

Deze dataset bevat de data van de fietstelpaal Dampoort-Zuid van 2020. De metingen zijn per 5 minuten gegroepeerd in 3 waarden: * Totaal: totaal aantal gepasseerde fietsers * Hoofdrichting: aantal gepasseerde fietsers van Kasteellaan naar Land van Waaslaan * Tegenrichting: aantal gepasseerde fietsers van Land van Waaslaan naar Kasteellaan Locatie van de telpaal: [https://data.stad.gent/explore/dataset/fietstelpalen-gent/table/] No Data waarde: NaN
Fietstelpaal Zuidparklaan 2018 Gent

Deze dataset bevat de data van de fietstelpaal Zuidparklaan van 2018. De metingen zijn per 5 minuten gegroepeerd in 3 waarden: * Totaal: totaal aantal gepasseerde fietsers * Hoofdrichting: aantal gepasseerde fietsers van Sint-Lievenspoort naar Woodrow Wilsonplein * Tegenrichting: aantal gepasseerde fietsers van Woodrow Wilsonplein naar Sint-Lievenspoort Locatie van de telpaal: [https://data.stad.gent/explore/dataset/fietstelpalen-gent/table/] No Data waarde: NaN Data is beschikbaar vanaf 1/10
Fietstelpaal Zuidparklaan 2019 Gent

Deze dataset bevat de data van de fietstelpaal Zuidparklaan van 2019. De metingen zijn per 5 minuten gegroepeerd in 3 waarden: * Totaal: totaal aantal gepasseerde fietsers * Hoofdrichting: aantal gepasseerde fietsers van Sint-Lievenspoort naar Woodrow Wilsonplein * Tegenrichting: aantal gepasseerde fietsers van Woodrow Wilsonplein naar Sint-Lievenspoort Locatie van de telpaal: [https://data.stad.gent/explore/dataset/fietstelpalen-gent/table/] No Data waarde: NaN Er is geen data beschikbaar van 1/3 tot en met 12/3 en van 29/12 tot en met 31/12
Fietstelpaal Zuidparklaan 2020 Gent

Deze dataset bevat de data van de fietstelpaal Zuidparklaan van 2020. De metingen zijn per 5 minuten gegroepeerd in 3 waarden: * Totaal: totaal aantal gepasseerde fietsers * Hoofdrichting: aantal gepasseerde fietsers van Sint-Lievenspoort naar Woodrow Wilsonplein * Tegenrichting: aantal gepasseerde fietsers van Woodrow Wilsonplein naar Sint-Lievenspoort Locatie van de telpaal: [https://data.stad.gent/explore/dataset/fietstelpalen-gent/table/] No Data waarde: NaN Er is geen data van 1/1 tot en met 7/1, van 14/2 tot en met 18/2 en van 7/5 tot en met 19/5
Renouvellement du parc d’autocars interurbains de la Région Bretagne

Conformément au décret n°2020-1726 du 29 décembre 2020 relatif au suivi et à la publication du pourcentage de véhicules à faibles et à très faibles émissions parmi les véhicules ayant fait l'objet d'un renouvellement de parc conformément aux dispositions applicables à certaines personnes, pris pour l'application de l'article 79 de la loi n° 2019-1428 du 24 décembre 2019 d'orientation des mobilités, la Région publie ici les données relatives au renouvellement de ses autocars interurbains. Pour 2020, la Région Bretagne a procédé au renouvellement de 228 autocars interurbains dont 83% par des véhicules à faibles émissions.
Visites sur les recyparcs du BEP en 2018

Ce dataset contient l'ensemble des visites accueillies par nos recyparcs en 2018. Cela peut être utile pour savoir quels sont les recyparcs les plus visités ou les heures les plus chargés / les plus creuses. Pour rappel, les recyparcs sont ouverts du mardi au samedi de 9h à 17h + les lundis de 9h à 17h pour les 3 parcs de Namur (Champion, Malonne et Naninne). Tous les recyparcs sont fermés les dimanches et jours fériés légaux.
Supplementary information and source code for "An atypical class of non-coding small RNAs produced in rice leaves upon bacterial infection"

[Lien vers la fiche source] This dataset contains additional supporting information and source code related to the discovery of Xanthomonas-induced small RNAs (xisRNAs) as described in the Related Publication. Deep small RNA (sRNA) sequencing analysis discovered a class of sRNA in rice (Oryza sativa) specifically associated with foliar diseases caused by Xanthomonas oryzae pathovars. A set of 163 xisRNAs loci were distinctively upregulated in response to various bacterial strains at an early stage of infection. Most xisRNA loci overlap with annotated cis-transcripts sequences often encoding protein kinase domain proteins including RLKs and RLCKs. A number of the corresponding rice cis-genes have documented functions in immune signaling and about one third of the xisRNA loci coincide with the coding sequence of a conserved kinase motif. xisRNAs exhibit features of small interfering RNAs and their biosynthesis depend on canonical components OsDCL1 and OsHEN1. Notably xisRNAs production was dependent on the X. oryzae Type III secretion system, a major bacterial virulence factor for host colonization. xisRNA induction possibly mediates post-transcriptional gene silencing but they do not appear to widely suppress cis-genes expression on the basis of mRNA-seq data. Overall, our results identify an unrecognized group of unusual sRNAs with a potential role in plant-microbe interactions. The main entry point for this dataset is the "PHIM_ xisRNA_MS_dataverse_code.html" file that records the code and the output of most secondary analysis computing tasks performed to generate the material relevant to the manuscript on xisRNAs referenced in the Related Publication metadata. Other Files include selected data files that have been used or produced in the course of the analysis workflow.
Focus groups

[Lien vers la fiche source] Data consist of sound recordings of 8 consumer groups (qualitative consumer study) conducted in France in June 2021 to provide information in the deliverable D4.1: open responses to questions regarding images and representations, motivations and barriers related to fermented (whey-based) drinks; reactions to the description of an idea of whey-based fermented drink; reactions to the description of 2 distribution modes (returnable bottles and bulk). The recordings contain personal data about consumers thus are confidential.
Fermented drinks

[Lien vers la fiche source] This dataset consists in an excel file of data regarding fermented drinks based on internet research in 4 countries: France, UK, Germany, Poland. For each fermented drink identified, the following characteristics were noted: country, type, organic/ not organic, pack, re-usable or compostable pack, fairtrade, format, price (euros), price/ litre (euros), distribution channel, taste, sparkling/ not sparkling. The data have been used to provide information in the deliverable D4.1.
BY_Mallet_CelticSea_14m_WGS84

[Lien vers la fiche source] Description of measurements/samples, purpose for which they were collected, and the platforms/instrumentation and methods in collection RV Mallet 2019-2020 Legs Celtic Sea Cork 14m Globe DTM WGS 1984 projection Lowest Astronomical Tide (LAT). The GSI has been permitted to utilise the UKHO VORF (Vertical Offshore Reference Frame) sea surface model. This model allows the use of ‘GPS tides’ and the GSI has gridded this model to a 1km resolution around Ireland to 15km offshore for reducing all soundings to Lowest Astronomical Tide - LAT (VORF). By utilising ‘GPS tides’ there is no requirement to adjust for draft or squat as the water level is modelled over the seabed as measured to the WGS84 ellipsoid. This area was surveyed as part of the ongoing INFOMAR project (formerly Irish National Seabed Survey), a joint seabed mapping project between the Geological Survey Ireland and the Marine Institute. Survey work was conducted to standards and recommendations set out by INFOMAR, the International Hydrographic Organisation (IHO), the United Kingdom Hydrographic Office (UKHO) and the UK’s Maritime and Coastguard Agency (MCA). Please note the following: Data acquired prior to March 2011 were levelled to Lowest Astronomical Tide (LAT) using shifts derived from Proudman Oceanographic tidal model. Tidal height was derived using a network of offshore and onshore tide gauges. As such data are on average 0.54m deeper than the more recent UKHO Vertical Offshore Reference Frame (VORF) levelled data. We are currently updating the older datasets. Statement on the level of data processed and quality control, limitations on reliability INFOMAR bathymetry products generated to meet International Hydrographic Organization (IHO) standards to ensure gridded data positional accuracy in the horizontal (XY) and vertical (Z) frame. Arrangement of data Data has been processed and arranged into a GLOBE DTM grid using XYZ data. Spatial and temporal resolution of data within the dataset Image resolution is a 14m DTM grid. Length of time series Image created from data collected between 2019-07-17 and 2020-10-31 Amount of data expressed in number of stations, sites, observations, cores, months of recordings, miles of track or other units as appropriate Bathymetry image meets GLOBE DTM standard. Data provided under Creative Commons licence access and use conditions. Users of this data should provide the following attribution statement "Contains Irish Public Sector Data (INFOMAR, Geological Survey Ireland; Marine Institute) licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) licence"
Regeneration and related variables data in spruce-fir-beech mixed uneven aged forests in the French Alps

[Lien vers la fiche source] The work was carried out in mixed, uneven aged forests of Picea abies, Abies alba and Fags sylvatica in the French Alps and Jura mountains. This dataset contains raw data files about observations made to calculate regeneration densities, annual height growths, and environmental variables that could potentially impact regeneration. We also include another data file which has a consolidated sheet of all measured and calculated data values that were used for analyses. This includes data from a climate model called SILVAE, with values extracted for our field sites.
Balneazione – dati Ostreopsis dal 2019

Dati dal 2019 del monitoraggio del mare, nelle zone adibite a balneazione, per verificare la presenza di alghe tossiche della famiglia delle Ostreopsidaceae (Ostreopsis ovata, Ostreopsis spp). Il monitoraggio comprende i Cianobatteri evidenziando superamenti di 20 µg/L, come previsto dall’aggiornamento delle norme vigenti (Rapporti ISTISAN 14/20). Il monitoraggio viene effettuato da maggio a settembre di ogni anno lungo 4 punti della costa: P. Garibaldi (FE), Lido di Savio (RA), Cesenatico (FC), Misano (RN), seguendo lo stesso calendario dei controlli eseguiti per le acque di balneazione. Le attività di prelievo e le analisi sono effettuate dalla Struttura oceanografica Daphne dell’Agenzia e sono pubblicate sul sito Arpae entro 48 ore dal prelievo come previsto dal Piano del coordinamento nazionale per la sorveglianza delle fioriture di Ostreopsis Ovata del Ministero della Salute.
Publish data through semantic web

[Lien vers la fiche source] The purpose of this document is to explain, on a concrete manner, how to publish data in the semantic web with fairly easy-to-use tools such as those presented in this document. A brief explanation on what is semantic web is delivered and then the complete methodology is explained using an example of publication of metadata on soil physical analyses. The reader must be aware that this work is still on-going and this document must be seen only as an example of using the different tools that are presented in it.