AndreaBozzo/ceres-open-data-index huggingface dataset:
Arbres - Tours Métropole Val de Loire

Géolocalisation des arbres des villes de la Métropole avec sa fiche descriptive. Cela inclut les arbres d’alignement (dans les rues), ceux des espaces verts et des équipements publics municipaux. Elle n’inclut pas les bosquets, les ensembles forestiers, les arbres du domaine privé etc. La localisation n'est cependant pas précise. La saisie se fait à partir d'une tablette sur le terrain et non précise. Cette dernière peut être repositionnée à partir de plans topographiques quand nous en avons. A NOTER : La géolocalisation des arbres est en cours.
Spatiotemporal quantification of sodium concentration in carrot

[Lien vers la fiche source] The images presented in this dataset are quantitative sodium MRI scans. They illustrate the methodological development described in the article published in Food Research International: "Spatiotemporal quantification of sodium concentration in food using magnetic resonance imaging." They demonstrate the effectiveness of RF B1⁺ field inhomogeneity correction on a homogeneous phantom. They also show the evolution of salt distribution in carrot over a 4.5-hour period following two salting methods: salting in water and surface salting with fleur de sel. Finally, the four spatiotemporal datasets shared here were used to build a diffusion model of sodium in this food product. The objectives of the scientific article were to present the development of a quantitative sodium MRI method that accounts for RF field inhomogeneities, in the specific context of an object in which sodium is diffusing. These data may be valuable to anyone interested in developing quantitative MRI methods. The data were acquired using the AgroResonance platform, as part of the Sal&Mieux project funded by the ANR (ANR-19-CE21-0009). The images are sodium nucleus MRI scans acquired at 9.4T, at room temperature. The sequence used is a Spiral, with a spatial resolution of 0.5×0.5×5 mm. All of this information is detailed in the article published in Food Research International: "Spatiotemporal quantification of sodium concentration in food using magnetic resonance imaging" [https://doi.org/10.1016/j.foodres.2025.116416] .
Les études de l'observatoire du numérique

L’Observatoire du numérique vise à analyser le taux d’équipement de la population Réunionnaise en outils digitaux et à étudier leurs usages. L'étude de cette transition, souvent qualifiée de digitalisation de la société, permet à la collectivité d’évaluer la pertinence de ses dispositifs existants et, le cas échéant, d’en concevoir de nouveaux pour mieux répondre aux besoins des citoyens. L'observatoire porte sur trois types de public : Les individus et les ménages dans un premier temps et les entreprises dans un second temps. L'observatoire à démarrer en 2023 et se terminera en 2026 en faisant un focus sur chaque public en alternance.
Land cover maps for the district of Murewa in Zimbabwe, for the year 2023

[Lien vers la fiche source] This dataset consists of land cover maps for the district of Murewa in Zimbabwe, for the year 2023. The dataset was created as part of the RAIZ (Resilience building through agroecological intensification in Zimbabwe) project FOOD/2021/424- 933 (https://raiz.org.zw/), founded by the European Union. The land cover maps were generated using PlanetScope mosaics provided by the NICFI Program. Monthly mosaics, covering the period from June 2022 to June 2023, are provided at a 5m spatial resolution. A deep learning model based on a 3D convolutional neural network (CNN) was used to process the satellite images. The images of the different dates are concatenated, and patches of 17x17 pixels are used as input, with the model predicting the class of the central pixel. This approach enables the model to learn spatial patterns in the images as well as temporal information. The inputs to the model included all available bands (blue, green, red, and near infrared) as well as the Normalized Difference Vegetation Index (NDVI). Land Use Classes: • Dense Woodlands (0): Areas with a dense canopy where grass is not visible from above. Trees are typically over 2 meters tall. • Cropland (1): Land used for agricultural purposes, including fields and farms for crop cultivation. • Grassland (2): Areas dominated by grass, with occasional shrubs and trees covering less than 20% of the area. These are primarily open grasslands. • Open Woodlands (3): Savanna woodlands with a sparse canopy of trees (over 2 meters tall) and scattered shrubs. • Mineral Soils (4): Rocky areas, including granitic mountains and hills, locally referred to as "Dwalas." • Built-up Surface (5): Urbanized areas that include buildings, roads, and other man-made structures. • Bare soil (6): Areas characterized by exposed earth with minimal to no vegetation • Grassland Vlei (7): Wet grassland areas, typically found in low-lying or floodplain regions, where water accumulates seasonally. • Water (8): Bodies of water such as rivers, lakes, and ponds.
All DNO Licence Area Boundaries

Our All DNO Licence Area Boundaries dataset contains shapefiles outlining the various licence area boundaries for Distribution Network Operators (DNOs) within England, Scotland and Wales. If you are unsure of any of the column meanings, please hover over the column heading for a description. Related Feature Pages [Portal Wide Map] - Our Portal Wide Map visualises multiple datasets preloaded onto one map to provide a starting point for our users. 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 NOT require a login to view Any data caveats for the dataset are listed below - None
MFront implementation of a BCC crystal plasticity law coupled to phase-field damage

[Lien vers la fiche source] A crystal plasticity and phase-field fracture material law is implemented in the MFront code generator (https://tfel.sourceforge.net/). This constitutive behavior is specifically designed for BCC materials. The material behavior and parameters are described in the companion paper: Scherer, Jean-Michel, Ramesh, Mythreyi, Bourdin, Blaise, Bhattacharya, Kaushik. Grain-size dependence of plastic-brittle transgranular fracture. (2025) Journal of the Mechanics and Physics of Solids (https://doi.org/10.1016/j.jmps.2025.106116). The resolution scheme, materials parameters and state variables are described in the README file. The .mfront file should be compiled using the following command: mfront --obuild --interface=generic BCC_CrystalPlasticity_PhaseFieldFracture.mfront
Cassiopée: tools for designing fish crossing devices for upstream and downstream migrations, and hydraulic calculation tools for environmental and agricultural engineering. Version 4.19.1

[Lien vers la fiche source] Cassiopée is a software dedicated to rivers hydraulics with especially some help for sizing fish passes, agricultural hydraulics and open-channel hydraulics in general. It comes in the form of independent calculation modules allowing one to solve a given problem. Calculation modules may be chained (parameters or calculation results may be "linked" from one module to another) in order to build complex calculation chains. Users may locally save the modules they use, in order to reuse them later. Available in French and English, “Cassiopée” is an open source and free software accessible online at [https://cassiopee.g-eau.fr] or as [an offline application for Windows, Linux, macOS and Android].
Dung beetles, but not rodents, contribute to Brown Bear faeces removal, disaggregation and secondary seed dispersal.

[Lien vers la fiche source] Seed dispersal by endozoochory is essential to plant dynamics, but once released in the faeces, the seeds face a hostile environment that is not always favourable to germination. Indeed, faeces may contain inhibitors, high seed density and be densely structured. However, faeces visitors such as vertebrates and invertebrates may play an essential role in secondary seed dispersal (SSD) and limit the chemical and physical constraints of the faeces. In this study, we designed a field experiment in the French Pyrénées mountains to disentangle the relative role of vertebrate and invertebrate on Brown Bear (Ursus arctos) faeces removal, disaggregation and secondary dispersal of small and medium-sized seeds. For this purpose, we used 30 fresh faeces and separated each of them into three sub-samples submitted to different treatments allowing total access to any visitor, access restricted to invertebrates and no access respectively. We inserted eight raspberry (Rubus idaeus) and five blueberry (Vaccinium myrtillus) seeds in each sub-sample to assess SSD. In parallel, we used camera and pitfall traps to catch vertebrate and invertebrate visitors, respectively. After ten days we weighted the fecal matter removed, counted the remaining seeds and assessed the faeces disaggregation based on visual examination and objective criteria. We observed a significant effect of invertebrates on faeces removal, disaggregation and secondary dispersal of both seed species. Vertebrates did not visit the faeces. Dung beetles caught in pitfall traps appear as the main disaggregation agent in this area. We also pinpointed that diet composition and structure of Brown Bear faeces affect their disaggregation and subsequent SDD. Our study in a temperate mountainous area identifies dung beetles as key agents in the disaggregation and secondary dispersal of small and medium-sized seeds. Diet composition and the fecal matter trapping the seeds affect seed fate by modulating dung beetle activity. By releasing variable fecal contents, omnivorous primary dispersal vectors have an even more complex effect on seed fate than expected.
Replication data for : Decoding ladybird's colours: structural mechanisms of colour production and pigment modulation", Carrada et al., PLOS-ONE 2025

[Lien vers la fiche source] This dataset consists of Replication Data for: "Decoding ladybird's colours: structural mechanisms of colour production and pigment modulation", Carrada et al., PLOS-ONE 2025. The files correspond to optical measurements made on the elytra of ladybirds of the species Adalia Bipunctata (L.) and Calvia Quatordecimguttata (L.), in particular the reflectance spectra and the Raman spectra. All metadata can be found in the raw spectrometer files. In order to compare the signal intensities in each set, the reflectance spectra were normalised with respect to the measurement time.
Traffic intersections by main street and cross street (2025)

The location of traffic intersections in Riyadh city for the year 2025. 1.Methodology Traffic intersections are mapped using the crossroads geolocation file. 2.Detailed breakdown * Intersection code: a unique identifier for individual intersections within a traffic network * Intersection description: information about intersections, aiding in analyzing traffic patterns, identifying safety concerns, and planning improvements * Main street code: a unique identifier for individual main streets within a traffic network * Main street: refers to most used or recognizable street of the intersection network * Cross street code: a unique identifier for individual cross streets within a traffic network * Cross street: the name of the streets which are intersecting with the main street which provides information about the secondary street that forms the crossroads with the primary street * Geographical coordinates (only visible in the downloaded version). * Comments: The Open Data Team comments on the metadata published 3.Updates 2025.05.06 * The Intersection description has been modified to use the following structure (main street - cross street). * The following records have been deleted: "272,1486,Dismantled -Al Imam Saud Ibn Faysal Rd -By- Prince Turki ibn Abdulaziz al awal", "341,1592,Dismantled-Abdullah Ibn Shawin -By- Al imam Saud Ibn Faysal Rd" intersections have been dismantled and do not exist anymore. * The record "452,5068,Dirab Road and Station 16 A & B (East side)" has been replaced by two new records (Intersection code "506801" & "506802"). * The record "592,103101,Al Imam Abdullah Ibn Saud Ibn Abdulaziz Rd By Khalid Bin Walid Road" is deleted as the intersection is already listed under the intersection code "1031". * The record "593,111301,Al Madinah Al Munawwarah Road And AL FARAZDAQ" is deleted as the intersection is already listed under the Code "1113". * Other changes can be found in the 'Comments' column, which summarizes all modifications related to each record. DsetIdx: >>179.
Population by citizenship, gender and region (2010-2022)

Population (number of individuals) with a focus on Ar Riyadh Region, Ar Diriyah and Ar Riyadh governorates compared to the other governorates of Ar Riyadh Region, the other governorates in the Kingdom, and the whole Kingdom from the year 2010 to 2022. 1.Methodology The population data are taken from Gastat and aggregated at three levels: * The Administrative Region, * The Governorate, * The City. The City level is not represented, as data is always aggregated at most to the Governorate level. This is due to the heterogeneity of availability of the information at the City level. Further, this dataset presents a breakdown for Ar Riyadh and Ad Diriyah at the governorate level. Similarly, a breakdown exists at the Regional level, distinguishing Ar Riaydh and the other Regions. This presentation highlights the importance of Riyadh at both the governorate and region levels in the Kingdom. At the Administrative Region level, * For Ar Riyadh Region, aggregation is provided at the Governorate Region for Ad Diriyah, Ar Riyadh, and the remaining governorates of Ar Riyadh Region combined under the label “Others (not Diri. And Riy.). * For the regions other than Ar-Riyadh Region, all governorates are aggregated together, * Finally, the aggregate for the KSA "Total (KSA Govs.)" is provided in full for Ad Diriyah, Ar Riyadh, and all governorates other than Ad Diriyah and Ar Riyadh "Others (not Diri. and Riy.)", for all governorates in the Kingdom excluding Ar Riyadh Regions' governorates "Total (Govs. not Ar Riyadh Region)". 2.Definition(s) * Population: All individuals residing within the Kingdom's territory at a given date, including both Saudi citizens and permanent/temporary non-Saudi residents. Source: https://www.stats.gov.sa/en/term-details?id=2583312). * Administrative Region: the 13 administrative regions of the Kingdom, which are administered by a government body directly affiliated with the Ministry of Interior (e.g. Ar Riyadh, Makkah). Every administrative region has a designated capital city. 3.Detailed breakdown * Region code: An identifier of the Region, not official (visible only in the downloadable version of the dataset). * Region: The first level of administrative division within the Kingdom. After aggregation, ‘Ar Riaydh’, ‘Others (not Ar Riyadh Region)’ (aggregating every case where region is not Riyadh), Total (KSA Regions) (aggregating all regions) remains. * Citizenship: Saudi and Non-Saudi population. * Gender: Male and female * Comments: The Open Data Team comments on the metadata published DsetIdx: >>181.
Registre national des installations de production et de stockage d'électricité en Pays de la Loire (au 31 décembre 2020)

Ce registre présente les installations de production et de stockage d'électricité raccordées directement ou indirectement aux réseaux publics d’électricité en France métropolitaine et dans les zones non interconnectées (ZNI) au 31 décembre 2020. Liste des producteurs de données : * RTE * Enedis * EDF SEI * ELD : * * AIRE SUR L ADOUR * AISNE * BEAUVOIS EN CAMBRESIS * BONNEVILLE * BRIANCON (EDSB) * CARMAUSIN * CARMAUX * CARNIN * CAZOULS * COMM COMUNE D'ARIGNAC * COOPERATIVE D'ELECTRICITE DE ST-MARTIN DE LONDRES * DALOU * ELEKTRA BIRSECK * ENERGIES & SERVICES UCKANGE * ENERGIES ET SERVICES CREUTZWALD * ENERGIES ET SERVICES HOMBOURG HAUT * ENERGIES ET SERVICES SCHOENECK * ENERGIES SERVICES LANNEMEZAN * ENERGIES SERVICES MARANGE SILVANGE * ERSTEIN * FONTAINE AU PIRE * GAZ ELECTRICITE DE GRENOBLE * GEDIA-REGIES MUNICIPALES DE GAZ ET D'ELECTRITE DE DREUX * LA BRESSE * LA CHAMBRE * LA CHAPELLE * LASSIGNY * LAVAUR * LES HOUCHES * MERCUS GARRABET * MERENS LES VALS * MONTATAIRE * MONTOIS LA MONTAGNE * MONTVALEZAN * PERONNE (GAZELEC) * PRATS DE MOLLO LA PRESTE * QUIE * RCEM - REGIE COMMUNALE DE DISTRIBUTION D'ELECTRICTE ET D'EAU - MITRY MORY * REGIE DE THONES * REGIE D'ELECTRICITE DE BITCHE * REGIE D'ELECTRICITE DE SAINT QUIRC * REGIE D'ELECTRICITE DE TARASCON * REGIE DU SIEDS (SYNDICAT INTERCOMMUNAL D'ENERGIE DES DEUX SEVRES) * REGIE DU SYNDICAT D'ELECTRICITE DE ST ANDRE DE CORCY * REGIE DU SYNDICAT ELECTRIQUE INTERCOMMUNAL DU PAYS CHARTRAIN * REGIE MUNICIPALE DE COLMAR * REGIE MUNICIPALE D'ELECTRICITE DE SAVERDUN * REGIE MUNICIPALE D'ELECTRICITE DE ST MARTIN S/CHAMBRE * REGIE MUNICIPALE D'ENERGIE ELECTRIQUE DE QUILLAN * REGIES MUNICIPALES DE CAPVERN * SA ELECTRICITE DE STRASBOURG * SAINT AVOLD * SAINT AVRE * SAINT LEONARD DE NOBLAT * SAINT PAUL CAP DE JOUX * SAINTE FOY TARENTAISE * SAINTE MARIE AUX CHENES * SAINTE MARIE DE CUINES * SALINS LES BAINS * SALLANCHES * SARRE UNION * SCICAE RAY CENDRECOURT * SEM ENERGIE ET SERVICES DE SEYSSEL * SICAE DE LA SOMME ET DU CAMBRAISIS * SICAE ELY * SICAE LA FERTE ALAIS * SICAE PRECY ST MARTIN * SICAE SAUSSERON * SICAE-OISE * SICAP * SIVU D'ELECTRICITE DES COMMUNES DE LUZ-SAINT-SAUVEUR, ESQUIEZE-SERE ET ESTERRE * SOCIETE DES REGIES DE L'ARC * SOREGIES * SUD DE LA REOLE * SYMI SYNDICAT D ELECTRICITE SYNERGIE MAUR * SYNDICAT INTERCOMMUNAL D'ELECTRICITE * TIGNES * URM * VARILHES * VILLAROGER * VILLIERS SUR MARNE Les données des autres gestionnaires de réseaux seront intégrées au fur et à mesure de leur disponibilité. Les informations relatives aux installations de moins de 36 kW sont rendues publiques après agrégation, tel que défini dans l'arrêté du 7 juillet 2016. Dans le respect des obligations règlementaires de l'article 179 de la LTECV, la maille territoriale la plus fine autorisée est la maille IRIS, et le pas temporel est annuel. Attention : Pour le périmètre EDF SEI, l'état du parc à fin décembre 2020 n'intègre pas encore les modifications d'installations ayant eu lieu courant 2018, 2019 et 2020; ces modifications seront prochainement prises en compte.
Historique – chantiers à Paris en 2020

Historique – chantiers à Paris en 2020 Jeu de données des chantiers en cours en 2020, de la Ville de Paris, des opérateurs de réseaux ainsi que des chantiers privés qui occupent l'espace public parisien. Chaque enregistrement désigne une emprise de chantier. Un chantier peut contenir plusieurs emprises. L’emprise d’un chantier désigne une surface occupée temporairement par des travaux sur l’espace public. Elle correspond à l’espace déclaré par le demandeur (particulier riverain, concessionnaire de service public, maître d'œuvre ou conducteur de travaux, entreprise de BTP...) à l’occasion d’une demande d’autorisation d’occupation temporaire du domaine public. Ce jeu de données contient : * Les chantiers de la Ville de Paris, * Les chantiers des opérateurs de réseau (eau de Paris, chauffage, électricité, gaz, climatisation, RATP, opérateurs télécom, etc), * Les chantiers privés qui occupent l'espace public (ex : échafaudages). * Il comprend aussi des indications sur l'encombrement temporaire que cela engendre sur l'espace public, les mobilités et le type de stationnement. Le jeu de données comprend les emprises : * des chantiers réalisés en 2020 * des chantiers démarrés en 2020 * des chantiers achevés en 2020 * des chantiers démarrés avant 2020 et non achevés en 2020
Gemeinderechnungen 2023

Der Datensatz enthält die Jahresberichte der politischen Gemeinden im Kanton Thurgau, bestehend aus den Kontensalden per 31.12. des entsprechenden Jahres für Erfolgsrechnung, Investitionsrechnung und Bilanz. Die Konten sind auf 4. Stelle verdichtet, die Funktionen auf 3. Stelle. Die Einteilung der Konten basiert auf dem Kontenplan, wie er in der Fachempfehlung 03 des Schweizerischen Rechnungslegungsgremiums für den öffentlichen Sektor (SRS-CSPCP) vorgesehen ist. Der Kontenplan umfasst eine vierstellige Struktur und wird regelmäßig (im Prinzip jährlich) aktualisiert. Die aktuellste Version kann hier eingesehen werden: [Harmonisierter Kontenplan | SRS-CSPCP]. Datenquelle: Finanzverwaltung Kanton Thurgau
Bodentemperatur und Bodenfeuchte Mitmachgarten Ochsenfurt

Sensortyp: Tektelic Kiwi agriculture sensor Bodentemperatur- und Bodenfeuchte-Sensor im Mitmachgarten Ochsenfurt. Mithilfe dieser Sensoren werden Bodentemperatur und die Bodenfeuchte an verschiedenen Stellen im Garten gemessen: ## In den Beeten - Wasserbedürftiges Staudenbeet (647FDA000001345F) - Trockenheitsresistentes Staudenbeet (647FDA0000013479) - bepflanzte Hochbeete (647FDA0000013473) ## An den Bäumen: - Blumenesche (647FDA0000013426) - Ahorn (647FDA00000127B6) ## Unter den Wegflächen: - unter der Terrasse (647FDA000001341D) - unter dem Pflaster (647FDA00000127FD) - unter dem Kiesweg am Nebeneingang (647FDA0000013427) - unter dem Kiesweg am Scheunentor (647FDA0000013471) Durch die Sensoren in den Beeten und an den Bäumen kann der Wasserbedarf der Pflanzen bestimmt werden. Die Sensoren unter den Wegflächen zeigen, wie viel Feuchtigkeit in der Erde unter den unterschiedlich stark versiegelten Flächen vorhanden ist.
Registro red centros tecnológicos Castilla y León

La Junta de Castilla y León, a través del Decreto 19/2024, ha establecido un marco para la creación y regulación del Registro de Centros Tecnológicos de la Comunidad. Este decreto define los requisitos y procedimientos necesarios para que los centros tecnológicos puedan ser reconocidos oficialmente e inscritos en este Registro, reforzando así su papel en el desarrollo tecnológico y la competitividad de Castilla y León. Los Centros Tecnológicos inscritos en este Registro forman la Red de Centros Tecnológicos reconocida por la Junta de Castilla y León, independientemente de otras redes o registros nacionales e internacionales a los que puedan estar adheridos. La Red tiene como objetivos impulsar la visibilidad y actividad de los centros tecnológicos, promover la transferencia de conocimiento y tecnología, y fomentar la creación de empresas tecnológicas y el talento dentro de la Comunidad. Para cada centro inscrito en el registro se proporciona la siguiente información: * Razón social. * Dirección postal, web, correo electrónico, teléfono y otros datos de contacto. * Áreas de Investigación y ámbitos de aplicación. * Fecha de inscripción en el registro.
Lufttemperatur und Luftfeuchte Mitmachgarten Ochsenfurt

Sensortyp: Dragino S31 Lufttemperatur- und Luftfeuchte-Sensor im Mitmachgarten Ochsenfurt. Mithilfe dieses Sensors werden Lufttemperatur und Luftfeuchte an verschiedenen Orten gemessen: - unter der Blumenesche, ein neu gepflanzter Baum (Sensor ID A8404125375A8010) - unter dem Ahorn, ein großer Bestandsbaum (Sensor ID A84041957F5A8002) - an einer unbegrünten Fassade (Sensor ID A84041AB1D5A8012) - an einer begrünten Fassade (Sensor ID A8404109865A8014) Die Werte sollen die Auswirkungen und Kühleffekte von Begrünung und Verschattung zeigen.
Oberflächentemperatur Mitmachgarten Ochsenfurt

Sensortyp: LHT65 Oberflächentemperatur-Sensor im Mitmachgarten Ochsenfurt. Die Lufttemperatur wird an drei Stellen im Garten in 10 cm und 150 cm Höhe über dem Boden gemessen, wobei sie vom jeweiligen Bodenbelag beeinflusst wird: - Terrasse (A840410A785A6097) - Pflaster (A84041A5B45A6098) - Kies (A84041F6085A60AE) Es werden die drei versiegelten Flächen betrachtet, um die Erhöhung der Lufttemperatur durch Sonneneinstrahlung aufzuzeigen.
Wasserfüllstand Mitmachgarten Ochsenfurt

Sensortyp: Milesight EM500 Die zwei Regentonnen im Garten sind jeweils mit einem Wasserfüllstands-Sensor ausgestattet, um die vorhandene Wassermenge nachvollziehen zu können. - Eichenfass an der Scheune, bewässert das Wasserbedürftige Staudenbeet (24E124126E472401) - Fassadentonne an der Hauswand, bewässert die Fassadenbegrünung und die Hochbeete (24E124126E110312)