AndreaBozzo/ceres-open-data-index huggingface dataset:
Données d'entrées et résultats de l'inventaire de cycle de vie d'un centre équestre : Cas d'étude

[Lien vers la fiche source] Ce jeu de données liste l'ensemble des données nécessaires pour évaluer l'impact environnemental d'un centre équestre par ACV, choisi comme étude de cas. Les données d'entrée correspondent aux intrants (aliments, bâtiments, énergie, etc) et sortants (déjections, produits, services) du système, détaillé par type de cheval (cheval de selle et poney) et par phase de cycle de vie (maternité, de la naissance au sevrage, du sevrage à un an, de un an à deux ans, de deux ans à trois ans, de trois ans au débourrage, en activité, retraite). Les émissions directes du système sont détaillées de la même manière. Les inventaires de cycle de vie sont disponibles et téléchargeables dans SimaPro. Les résultats d'impact utilisant la méthode de caractérisation Environmental Footprint EF3.1 sont disponibles suivant deux unités fonctionnelles : par heure d'activité et par unité gros bétail (UGB) présents. This dataset lists all the data needed to assess the environmental impact of an equestrian center by LCA, chosen as a case study. The input data correspond to the inputs (feed, buildings, energy, etc.) and outputs (manure, products, services) of the system, detailed by type of horse (saddle horse and pony) and by life cycle phase (maternity, from birth to weaning, from weaning to one year, from one year to two years, from two years to three years, from three years to breaking in, in activity, retirement). Direct emissions from the system are detailed in the same way. Life cycle inventories are available and downloadable in SimaPro. Impact results using the Environmental Footprint EF3.1 characterization method are available according to two functional units: per hour of activity and per livestock unit (LSU) present.
NIHR Research Schools Projects Dataset

The NIHR Research schools are collaborations between leading academic centres with national coverage across England. The NIHR funds three schools in these priority areas: the School for Primary Care Research (SPCR, established 2006), the School for Public Health Research (SPHR, established 2012), and the School for Social Care Research (SSCR, established 2009). The schools' mission is to increase the evidence base for practice by funding research and building research capacity, with supporting aims of leading strategically in their topic areas, engaging stakeholders, and developing future research agendas. They also provide capacity building programmes relevant to their priority areas that complement broader NIHR Academy initiatives. The schools also work together to deliver joint "three-schools" research programmes on government priority topics such as Mental Health, Dementia, and Prevention, enabling a system wide approach to tackle these challenges. The following data provides a comprehensive list of the projects commissioned to date by each of the Schools across their multiple phases since their original inception. This also includes those funded by the Three Schools collaboration research programmes. Please note that this only includes those research projects commissioned by the Schools and not the studentships or fellowships funded by their capacity building activities.
Food packaging transparency preferences

[Lien vers la fiche source] EcoBioCAP aim was to provide the EU food industry with customizable, ecoefficient, biodegradable packaging solutions with direct benefits both for the environment and EU consumers in terms of food quality and safety. In this framework, a survey has been conducted in France with 235 consumers who expressed their preferences about food packaging functionalities. In this dataset, we present the survey results in which participants had to express their preferences and associated justification about transparency (transparent, translucent, opaque) of the packaging. Expert opinions are presented in file Expert knowledge_final. They have been used to confront justifications associated with individual preferences expressed in the consumer survey. Attacked justifications are also identified in this file.
Interne - Population des régions 2012-2024

### Remarques méthodologiques : Ce jeu de données fournit la population de l'ensemble des régions et collectivités assimilées (collectivités territoriales uniques de Guyane et de Martinique, collectivité territoriale de Corse puis collectivité de Corse) ayant existé sur la période 2012-2023. Il a été généré par l'OFGL à partir de données INSEE, en vue de permettre le calcul d'agrégats financiers par habitant. Pour des traitements des données de populations à d'autres fins, il convient de se référer aux données publiées par l'INSEE et aux usages méthodologiques préconisés par l'INSEE ([recensement de la population]).
03_Prepared_OTU_Abundance_Matrix

[Lien vers la fiche source] The OTU abundance matrix must be modified for PiCrust2. To do this, the OTU abundance matrix from BIOCOM-PIPE must be transposed and converted to a tab-separated values (TSV) file, with OTUs as rows and samples as columns. The first column should contain the OTU IDs, and the first row should contain the sample IDs. This file is the result of the needed modifications.
02_Input_file_BIOCOM-PIPE

[Lien vers la fiche source] BIOCOM-PIPE is a flexible and standalone suite of tools for processing data from high-throughput sequencing technologies (e.g. Roche 454 and Illumina), with a focus on the diversity of archaeal, bacterial, fungal, and photosynthetic microeukaryotic amplicons (targeting 16S, 18S and 23S rRNA genes). It includes several original methods: 1. Chimera removal based on read abundance and taxonomy, 2. Structure-based alignment of RNA homologs using covariance models (with the **Infernal** tool), 3. A post-clustering tool (called ReClustOR) to improve OTU consistency using a reference database. To launch this pipeline efficiently, and generate files for functional inference, any user can launch the BIOCOM-PIPE with the Input.txt file containing needed steps and associated parameters.
Disponibilité des comptes des groupements à fiscalité propre 2012-2024

Ce jeu de données indique, pour tous les groupements à fiscalité propre et collectivités assimilés (Etablissements publics territoriaux de la Métropole du Grand Paris, Métropole de Lyon) existant au 1er janvier des années 2012 à 2023, si les données des comptes sont disponibles pour l'année. La liste des groupements au 1er janvier est basée sur les jeux de données mis en ligne par la DGCL (https://www.collectivites-locales.gouv.fr/liste-et-composition-des-epci-a-fiscalite-propre) La liste des comptes disponibles est issue des balances comptables des groupements à fiscalité propres mises en ligne par la DGFiP.
Parking tickets 2017-2019

The City of Vancouver regulates parking to balance the needs of residents, commuters, and visitors. This dataset includes parking ticket records data available from Parking Operations and Enforcement branch, from 2017 to 2019. Due to platform limitation, records from other years need to split into multiple datasets. See [other parking tickets datasets] for data starting from 2010. Notes: * This dataset also includes water tickets that are issued by the branch * This dataset does not include parking tickets issued by Vancouver Police Department * Ticket issued location information was aggregated to 100-block unit level. * Testing in production may result in test record * Effective April 30, 2018, data files starting from year 2011 have been updated to reflect change in new software platform. ### Data currency The data for past years is static ### Data accuracy Data is based on infraction occurred date and does not show current status of a parking ticket or changes after the ticket is originally issued. ### Websites for further information * [Parking ByLaws] * [Tickets and towing]
ISLSCP II Consommation de CO2 atmosphérique par érosion chimique des surfaces continentales

[Lien vers la fiche source] Estimates for the riverine export of carbon and of sediments: dissolved organic carbon (DOC) export, particulate organic carbon (POC) export, bicarbonate export, export of bicarbonate being of atmospheric origin (atmospheric CO2 consumption by rock weathering), and sediment export. Estimates are based on empirical models for the overall continental area in a spatial resolution of 0.5 x 0.5 degree longitude/ latitude. .
Frayères de lamproies marines - Observatoire Sélune

[Lien vers la fiche source] Les frayères de lamproie marine Petromyzon marinus sont localisées dans le cadre de l'Observatoire Sélune. Cette espèce étant migratrice, sa colonisation de la Sélune et de ses affluents sera probablement influencée par l'effacement des barrages de la Sélune. Les frayères se caractérisent par une dépression accompagnée d’un dôme d’éjection sédimentaire immédiatement en aval. Les pierres retournées sur le dôme sont plus claires ce qui rend les nids facilement visibles et identifiables jusqu’à plusieurs semaines après le frai.
Déclarations des entrepreneurs de spectacles vivants

Ce jeu de données contient les déclarations des entrepreneurs de spectacles vivants à La Réunion. DEFINITION DES STATUTS : - valide : La déclaration vaut licence ; l'exercice de la profession est licite ; Le tableau donne la date de dépôt de la déclaration et sa date de validité ; - invalide : la licence a été refusée ; l'exercice de la profession au titre de cette déclaration est interdit ; Ce peut être pour des raisons de forme (dossier incomplet, doublon, erreur de manipulation dans l'envoi du dossier, etc), ou de fond (dettes sociales, non respect du droit de travail ou de la propriété littéraire et artistique, absence de personne dans l'entreprise justifiant des compétences requises, dossier incomplet, etc); - invalidé : la licence a été retirée après une période de validité. La date d'invalidation est précisée. L'exercice de la profession au titre de cette déclaration est désormais interdit. L’invalidation peut être due à une cessation d’activité ou un exercice de la profession qui n’a pas respecté le droit du travail, le droit social, la sécurité, la propriété intellectuelle. - en instruction : état d'une déclaration pendant le délai d'instruction du dossier. L'exercice de la profession au titre de cette déclaration est interdit.
UK Power Networks Licence Area Grid Supply Points Areas

## Introduction National Grid sites (Transmission System) that feed UK Power Networks' Primary substations (Distribution System). ## Methodological Approach This was created internally by combining the primary feeding areas according to which Grid Supply Point is upstream. ## Quality Control Statement Quality Control Measures include: * Manual review and correction of data inconsistencies * Use of additional verification steps to ensure accuracy in the methodology ## Assurance Statement The Open Data Team checked 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: [Open Data Portal Glossary] To view this data please register and login.
Dette garantie au 1er janvier de l'exercice - Années 2019 à 2025 : Département de la Haute-Garonne

Jeu de données reprenant les emprunts garantis par le Conseil départemental de la Haute-Garonne sur les exercices 2019 à 2025. Ce jeu de données présente le libellé de l'opération, l'établissement bancaire prêteur, le capital à l'origine, le capital restant dû au 1er janvier de chaque exercice, la durée de l'emprunt en mois, la périodicité de remboursement du prêt (annuelle, semestrielle, trimestrielle ou mensuelle), le type de taux (fixe, variable en fonction du taux du Livret A ou complexe), le taux d'intérêt, ainsi que l'intérêt et l'amortissement.
Raw data of sensors placed and around BBC room, from E-colos project.

[Lien vers la fiche source] Raw data files for BBC room directly obtained from influxDB servers, in CSV format. Contains all 39 distincts measurments, with outliers removed. #### All 39 measurements include, in a file called BBC_Processed: #### * Ambiant values = Temperature (°C), humidity (%), CO₂ (PPM) #### * Office values = Temperature (°C), humidity (%), CO₂ (PPM) #### * Doors and windows opening/closing (Boolean) #### * Presence, heating, ventilation, volatile organic compounds (PPM) indicators #### * Thermocouple sensor readings (°C) #### * Triosys sensor data (temperature °C, humidity %) #### * Pyranometer measurements (W/m², kWh/m²) #### * Solar shading percentage (%) #### * Light intensity (lux) #### * Electricity meter readings (general, main, power outlets, kitchen, heating) Can be used to replicate the workflow provided in Data_production_Workflow_20250521_MB.ipynb. Can also be used to compare whole datasets to own data or collected data.
Raw data of sensors placed and around Maison en Terre, from E-colos project. (From august 2024 to may 2025)

[Lien vers la fiche source] Raw data files for Maison en Terre, directly obtained from influxDB servers, in CSV format. Contains all 52 distincts measurments, with outliers removed. #### All 52 measurements include, in a file called Raw_data: #### * Interior CO₂ (north and south), CO₂ (PPM) #### * Micro-particles (µg/m3) #### * Interior temperature (north and south), percieved temperature and temperature (°C) #### * Interior humidity (north and south), absolute and relative humidity (%) #### * Pyranometer measurements (W/m², kWh/m²) #### * Azimuth and solar elevation #### * Weather station temperature and sensor state (°C, boolean) #### * Front, left, right and maximum light intensity (lux) #### * Wind speed (m/s) #### * Rain #### * Convectors, light, outlets and ventilation energy consumption #### * Convectors, light, outlets and ventilation power #### * Volatile Organic Compounds (PPM) #### * Roof, south walls and walls temperature (°C) Can be used to replicate the workflow provided in Data_production_Workflow_20250521_MB.ipynb. Can also be used to compare whole datasets to own data or collected data.
Raw data of sensors placed and around Maison en Terre, from E-colos project (From november 2018 to august 2024)

[Lien vers la fiche source] Raw data files for Maison en Terre, directly obtained from influxDB servers, in CSV format. Contains all 52 distincts measurments, with outliers removed. Data from november 2018 to august 2024. #### All 52 measurements include, in a file called Ecolos_Processed_V1: #### * Interior CO₂ (north and south), CO₂ (PPM) #### * Micro-particles (µg/m3) #### * Interior temperature (north and south), percieved temperature and temperature (°C) #### * Interior humidity (north and south), absolute and relative humidity (%) #### * Pyranometer measurements (W/m², kWh/m²) #### * Azimuth and solar elevation #### * Weather station temperature and sensor state (°C, boolean) #### * Front, left, right and maximum light intensity (lux) #### * Wind speed (m/s) #### * Rain #### * Convectors, light, outlets and ventilation energy consumption #### * Convectors, light, outlets and ventilation power #### * Volatile Organic Compounds (PPM) #### * Roof, south walls and walls temperature (°C) Can be used to replicate the workflow provided in Data_production_Workflow_20250521_MB.ipynb. Can also be used to compare whole datasets to own data or collected data.
Workflow for transforming frequency to 5min per 5min

[Lien vers la fiche source] Jupyter notebook serving as a workflow and code for transforming data. If referring to the workflow, data frequency for 2018-2019 was 1sec, then 1min etc. For data since 2020, the frequency is set to 5min. This file serves as the transformation from this frequency to a 5min one. PLEASE refer yourself to the README file, and download the Processed files.
Workflow for Maison en Terre netCDF creation and replication -  Seperated by years

[Lien vers la fiche source] Jupyter notebook of Maison en terre data. This workflow contains all steps to recreate netCDF files seperated by years, meaning that there will be a file for 2018 to 2025. IF wanting to use this workflow, PLEASE ENSURE you have dowloaded the "Processed files" from RDG. Each files contains all 52 measurements, seperated by years and are organized by themes. You can find: * Air quality: Interior CO₂ (north and south), CO₂ (PPM) and micro-particles (µg/m³) * Climatic parameters: Interior temperature (north and south), perceived temperature and temperature (°C), interior humidity (north and south), absolute and relative humidity (%), pyranometer measurements (W/m², kWh/m²), azimuth and solar elevation, weather station temperature and sensor state (°C, boolean), front, left, right and maximum light intensity (lux), wind speed (m/s) and rain. * Energetic performance: Connectors, light, outlets and ventilation energy consumption. Connectors, light, outlets and ventilation power (W). * Maison en terre structure: Roof, south walls and walls temperature (°C). The obtained netCDF files can be used to analyze the environmental impact on office workers. The workflow in itself can be used to replicate the corresponding file, but also a good idea on how to create netCDF files if wanting to replicate.
Workflow for Maison en Terre netCDF creation and replication

[Lien vers la fiche source] Jupyter notebook of Maison en terre data. This workflow contains all steps to recreate a global netCDF file. The global netCDF file contains all 52 measurements, regardless of year and dates. IF wanting to use this workflow, PLEASE ENSURE you have dowloaded the "Processed files" from RDG. All 52 measurements included are organized by themes. You can find: * Air quality: Interior CO₂ (north and south), CO₂ (PPM) and micro-particles (µg/m³) * Climatic parameters: Interior temperature (north and south), perceived temperature and temperature (°C), interior humidity (north and south), absolute and relative humidity (%), pyranometer measurements (W/m², kWh/m²), azimuth and solar elevation, weather station temperature and sensor state (°C, boolean), front, left, right and maximum light intensity (lux), wind speed (m/s) and rain. * Energetic performance: Connectors, light, outlets and ventilation energy consumption. Connectors, light, outlets and ventilation power (W). * Maison en terre structure: Roof, south walls and walls temperature (°C). The obtained netCDF file can be used to analyze the environmental impact on office workers. The workflow in itself can be used to replicate the corresponding file, but also a good idea on how to create netCDF file if wanting to replicate.
Processed netCDF files of Maison en Terre data - Before frequency transformation

[Lien vers la fiche source] Processed netCDF files for Maison en Terre data, obtained after processing the workflow found in Data_Production. Contains all 52 distincts measurments, with outliers removed. #### All 52 measurements include, in seperated files: #### * Interior CO₂ (north and south), CO₂ (PPM) #### * Micro-particles (µg/m3) #### * Interior temperature (north and south), percieved temperature and temperature (°C) #### * Interior humidity (north and south), absolute and relative humidity (%) #### * Pyranometer measurements (W/m², kWh/m²) #### * Azimuth and solar elevation #### * Weather station temperature and sensor state (°C, boolean) #### * Front, left, right and maximum light intensity (lux) #### * Wind speed (m/s) #### * Rain #### * Convectors, light, outlets and ventilation energy consumption #### * Convectors, light, outlets and ventilation power #### * Volatile Organic Compounds (PPM) #### * Roof, south walls and walls temperature (°C) Can be used to continue the workflow with the 5min transformation file. (Workflow for transforming frequency to 5min per 5min) Can also be used to compare whole datasets to own data or collected data.
netCDF files of Maison en Terre data.

[Lien vers la fiche source] Fully processed and cleaned up netCDF files for Maison en Terre data. They are fully organized by themes, for better replication and understanding of every community. You will find, in this ZIP file: * All files from 2018 to 2025, with each file for a year of data (Exception for 2018 that only has from 2018-11-16 to 2018-12-31 and 2025 that only has from 2025-01-01 to 2025-05-15). * Global netCDF file with all years, from 2018 to 2025. * All netCDF files are organized following this list: * * Air quality: Interior CO₂ (north and south), CO₂ (PPM) and micro-particles (µg/m³) * Climatic parameters: Interior temperature (north and south), perceived temperature and temperature (°C), interior humidity (north and south), absolute and relative humidity (%), pyranometer measurements (W/m², kWh/m²), azimuth and solar elevation, weather station temperature and sensor state (°C, boolean), front, left, right and maximum light intensity (lux), wind speed (m/s) and rain. * Energetic performance: Connectors, light, outlets and ventilation energy consumption. Connectors, light, outlets and ventilation power (W). * Maison en terre structure: Roof, south walls and walls temperature (°C). All these netCDF files can be used to compare with own data, and are targeted towards students, researchers, and environmental office workers. These netCDF files are also a good alternative if not wanting to replicate the whole workflow and stick to aleardy processed data.
Afvalophaalkalender IVAGO woongebied Gent 2026-2027

Dit is de IVAGO-inzamelkalender voor 2027. Hiervoor voegen we een tabel met de codes van de ophaalrondes samen met een bestand dat de afvalsoorten aan de ophaalrondes koppelt. bv. op 15/09/2026 haalt IVAGO in de ronde Z1B Glas, papier, PMD en Restafval op.
Workflow for BBC room netCDF creation and replication -  Seperated by years

[Lien vers la fiche source] Jupyter notebook of the BBC room data. This workflow contains all steps to recreate a global netCDF file. The global netCDF file contains all 39 measurements, regardless of year and dates. IF wanting to use this workflow, PLEASE ENSURE you have dowloaded the "Processed files" from RDG. All 39 measurements included are organized by themes. You can find: Office environement: Ambiant values (Temperature, humidity and CO2), Indicators (Presence, ventilation, VOC and heating), Doors and windows (Opened of closed, only starting in 2020) Specialized office values Relative temperature, humidity and CO2 concentration Specialized sensors:Thermocouples sensors(TC1-4, temperature), Triosys 1-2 measuring temperature and triosys 1 measuring humidity. Solar measurements: Adjustable sunshade (south, southeast, east, southwest and west), starting in 2020. Pyranometer energy and irradiance. Illuminance: North and south. Energy: General, heating, kitchen, main and outlets meter. The obtained netCDF file can be used to analyze the environmental impact on office workers. The workflow in itself can be used to replicate the corresponding file, but also a good idea on how to create netCDF file if wanting to replicate.