AndreaBozzo/ceres-open-data-index huggingface dataset:
GUYADIV: A network of forest inventories across French Guiana covering 100 ha and 90,000 trees (1986 – 2018)

[Lien vers la fiche source] Data collected on the trees inventoried on the forest plots of the GUYADIV network. The first plots were installed in 1986 by Daniel Sabatier and Marie-Françoise Prévost. Since then, the network has grown with the contribution of several other scientists, notably Jean-François Molino and Julien Engel. It now includes more than 240 plots and around 100,000 trees, and has been used for numerous publications. More than 80 GUYADIV plots contribute to the Amazon Tree Diversity Network (ATDN).
Subventions aux associations

Les subventions versées aux associations par le Territoire de Grand Paris Seine Ouest, depuis 2017. Référence : Le décret n° 2017-779 du 5 mai 2017 définit les données essentielles des conventions de subvention devant être diffusées par les administrations attribuant des subventions ainsi que les modalités de diffusion de ces données Conforme au schema [https://schema.data.gouv.fr/scdl/subventions/2.1.1/]
Données C.BOXvélo

Ce jeu de données correspond aux données du service C.BOXvélo, service de parking à vélo du réseau C.vélo exploité par Citybike France pour le compte du SMTC (Syndicat Mixte des Transports en Commun de l'agglomération clermontoise). Ce jeu de données couvre le ressort territorial du SMTC. Ce jeu de données informe sur le nom des équipements, leur adresse, capacité totale et capacité restante en fonction des locations déjà effectuées, leurs coordonnées géographiques, leur statut (online = fonctionnelle, disabled = en projet ou déconnectée) et le type de box.
Network Features

This dataset presents the main characteristics of the electricity network, with an emphasis on substations, including their name, location, transformation ratio, installed power, short-circuit powers and relevant parameters for equipment sizing. The short-circuit current values used for sizing MV and HV networks are given, considering different voltage levels and fault durations. Typical operating conditions, such as the separation of half-busbars and the maximum time for protection to operate, were taken into account when defining the reference values. The minimum short-circuit situations assume contingency scenarios with lines in fault and lower power transformers in operation. 1. The information provided by E-REDES constitutes an approximation of the values relating to substations and the MV network, as they are taken from the systems and have as a reference the moment in which the information is collected. 2. Given that the connection points, the electricity distribution network and the consumption and generation values themselves are naturally very dynamic, it is safeguarded that the information made available may be subject to subsequent changes and updates, except for any omissions and/or occasional inaccuracies about the location that the information may contain. 3. The information provided by E-REDES consists only of an approximation of the available capacity of the networks at any given time, and therefore does not constitute a contractual proposal, nor does it dispense with the consultation of E-REDES for the purposes of formulating the usual requests for network connection. 4. E-REDES safeguards that the information provided does not bind to the connection to any specific point or asset on the network, or even to a specific solution within the scope of the network connection requests that may be placed, with E-REDES reserving itself the right to evaluate if, on a case-by-case basis, in light of the respective requests, the technical solution that is the most appropriate, in accordance with the principles to which it is legally obliged. 5. E-REDES is not held accountable to third parties, namely partners, service providers, contractors, users and customers, for damages that may arise as a result, directly or indirectly, of the use of this Information, in particular when carrying out interventions, calculations and/or estimates, without confirming the accuracy and updating of the data, therefore it is duly noted that consultation of this information does not prejudice the duty to promote a direct consultation with E-REDES to obtain updated information. The data provided by the E-REDES Open Data Portal is covered by open licenses (CC BY 4.0). There are no restrictions on access, under the commitment that data users cite the publisher. Therefore, we suggest that you cite the Open Data E-REDES Portal as: E-REDES – Distribuição de Eletricidade, “E-REDES Open Data Portal”. Accessed in “Data”. [Online] Available at https://e-redes.opendatasoft.com/pages/homepage/ If you share on social media, please add #PortalOpenData_E_REDES
Substation Load

This dataset shows the powers of the loads in the HV/MV substations, with the aim of identifying and justifying the main congestion and capacity restrictions in the networks. For each substation, the natural load, the non-guaranteed power, the available connection power and the non-guaranteed installed reserve power are shown. In some cases, the natural load is similar to the installed power, which does not necessarily imply full utilisation due to the contribution of distributed generation on the MV network in the respective area. 1. The information provided by E-REDES constitutes an approximation of the values relating to substations and the MV network, as they are taken from the systems and have as a reference the moment in which the information is collected. 2. Given that the connection points, the electricity distribution network and the consumption and generation values themselves are naturally very dynamic, it is safeguarded that the information made available may be subject to subsequent changes and updates, except for any omissions and/or occasional inaccuracies about the location that the information may contain. 3. The information provided by E-REDES consists only of an approximation of the available capacity of the networks at any given time, and therefore does not constitute a contractual proposal, nor does it dispense with the consultation of E-REDES for the purposes of formulating the usual requests for network connection. 4. E-REDES safeguards that the information provided does not bind to the connection to any specific point or asset on the network, or even to a specific solution within the scope of the network connection requests that may be placed, with E-REDES reserving itself the right to evaluate if, on a case-by-case basis, in light of the respective requests, the technical solution that is the most appropriate, in accordance with the principles to which it is legally obliged. 5. E-REDES is not held accountable to third parties, namely partners, service providers, contractors, users and customers, for damages that may arise as a result, directly or indirectly, of the use of this Information, in particular when carrying out interventions, calculations and/or estimates, without confirming the accuracy and updating of the data, therefore it is duly noted that consultation of this information does not prejudice the duty to promote a direct consultation with E-REDES to obtain updated information. The data provided by the E-REDES Open Data Portal is covered by open licenses (CC BY 4.0). There are no restrictions on access, under the commitment that data users cite the publisher. Therefore, we suggest that you cite the Open Data E-REDES Portal as: E-REDES – Distribuição de Eletricidade, “E-REDES Open Data Portal”. Accessed in “Data”. [Online] Available at [https://e-redes.opendatasoft.com/pages/homepage/] If you share on social media, please add #PortalOpenData_E_REDES
Large Embedded Power Stations

## Introduction Generation above 100 MW connecting or contracted to connect to UK Power Networks distribution network. Please note that, due to the effect of some legacy generators, there are five schemes above 100MW which are contained in the Appendix G, which would not be included in this generation list. This has been done to keep consistency with the signed contracts with the National Energy System Operator (NESO). ## Methodological Approach Showing all connected generation above 100MW (which are not already quoted in the Appendix G), and including all contracted generation above 100MW, be it part of a contract with NESO or still awaiting an application. ## Quality Control Statement The data is provided "as is". ## Assurance Statement The data domain owners have checked their respective data aspects. ## 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/] To view this data please register and login.
API_pip_Mission Cisse 2024-04-24 — Livrable drone multispectral + LiDAR

[Lien vers la fiche source] Livrable drone du site Cisse (Loir-et-Cher) acquis le 2024-04-24. Jeu compose d'une orthophotographie multispectrale 10 bandes (DJI Matrice 350 + DualMX, resolution 0.5 m) et d'un couple MNT/MNE LiDAR (Qube240, resolution 0.1 m). Produits traites par le pipeline D2T Metashape_Pipelines (alignement + nuage dense + ortho + DSM/DTM LiDAR). CRS horizontal EPSG:2154 (Lambert-93), altimetrique NGF-IGN69 (RAF20). Pipeline publication sprint 58 B351.
API_pip_Cisse DTM Qube240 — Acquisition 2024-04-24

[Lien vers la fiche source] DTM full-resolution du site Cisse (capteur Qube240) acquis le 2024-04-24. Produit issu du pipeline D2T Metashape_Pipelines (delivery v5 STAC). CRS horizontal EPSG:2154 (Lambert-93), altimetrique NGF-IGN69 (RAF20). La fiche decrit la donnee native full-resolution ; la couche WMS publie une version overview pour la consultation rapide.
API_pip_Cisse orthomosaic_ms DualMX — Acquisition 2024-04-24

[Lien vers la fiche source] orthomosaic_ms full-resolution du site Cisse (capteur DualMX) acquis le 2024-04-24. Produit issu du pipeline D2T Metashape_Pipelines (delivery v5 STAC). CRS horizontal EPSG:2154 (Lambert-93), altimetrique NGF-IGN69 (RAF20). La fiche decrit la donnee native full-resolution ; la couche WMS publie une version overview pour la consultation rapide.
API_pip_Cisse DSM Qube240 — Acquisition 2024-04-24

[Lien vers la fiche source] DSM full-resolution du site Cisse (capteur Qube240) acquis le 2024-04-24. Produit issu du pipeline D2T Metashape_Pipelines (delivery v5 STAC). CRS horizontal EPSG:2154 (Lambert-93), altimetrique NGF-IGN69 (RAF20). La fiche decrit la donnee native full-resolution ; la couche WMS publie une version overview pour la consultation rapide.
[Cybergeo] Extraction from the spatialised French pesticide purchase data (BNV-D) at the municipality level  2015 - 2020 (parquet)

[Lien vers la fiche source] This is an extraction from the open data version of the spatialised BNV-D covering the purchases of phytopharmaceutical products. The extraction is described in [Lision, Lungarska & Poméon (2026)] accessible here [http://journals.openedition.org/cybergeo/42638] and contains data per municipality and active ingredient or product. More details on the spatialisation methodology are provided in the methodological note of Ramalanjaona et al. (2020) accessible here [https://hal.inrae.fr/hal-03594944/]. These extractions cover the period 2015-2020.
Lernende im Kanton Schwyz

Hier finden Sie die Übersicht über sämtliche Lernenden aller Stufen. Folgende Schulstufen werden abgebildet: * Volksschulen * Sonderschulen * Sprachheilschule * Privatschulen * Berufsbildungszentren und Kaufmännische Berufsschulen * Öffentliche und private Gymnasien * Höhere Fachschulen Eine übersichtliche Darstellung der Entwicklung der Lernenden finden Sie im entsprechenden [Dashboard].
Dataset of the distribution of tick-borne microorganisms in human-biting ticks in France collected through a Citizen-science program (CiTIQUE)

[Lien vers la fiche source] The dataset concerns information on the ticks that were sent by citizens in France between 2017 to 2019, and the results of the detection of pathogens in the ticks. CiTIQUE programm (2017- ) is a national Citizen science programm ([www.citique.fr]) initiated in July 2017 by the Laboratory of Excellence ARBRE as a collaboration between INRAE (French National Research Institute for Agriculture, Food and Environment), the University of Lorraine, the “Tous Chercheurs” Laboratory, Anses (French Agency for Food, Environmental and Occupational Health & Safety), and CPIE (Permanent Center for Environment Initiatives). This program aims at understanding the ecology of ticks and tick-borne potential human pathogens that they transmit to improve disease prevention, including Lyme borreliosis. When reporting their tick bites, citizens can send the biting ticks that they found, which feed a tick bank.
Habitat suitability maps of Ixodes ricinus tick in France using multi-criteria analysis

[Lien vers la fiche source] The tick Ixodes ricinus is widely distributed across Europe and is responsible for the transmission of several pathogens to humans and animals. To create the map presented here, we used a knowledge-based method to map variations in habitat suitability for I. ricinus ticks throughout continental mainland France and Corsica. The multi-criteria decision analysis (MCDA) integrated four major biotic and abiotic factors known to influence tick populations: climate, land cover, altitude and the density of wild ungulates. For each factor, Habitat Suitability Index (HSI) values were attributed to different locations based on knowledge regarding its impact on tick populations (Lebert et al. 2022). For the MCDA, two methods of factor combination were tested, additive and multiplicative, both which were evaluated at the spatial scales of departments and local municipalities. The resulting habitat suitability maps are at a resolution of 100 m x 100 m. The map of Habitat Suitability scores for I. ricinus ticks in continental France and Corsica is based on the additive approach with departmental-level data for wild boar and roe deer.
SP ENW - UVA - Decommissioned Overhead Conductor

Dataset Classification - Open SP ENW - UVA - Decommissioned Overhead Conductor This dataset shows the spans of overhead conductor removed as part of SP Electricity North West's " Undergrounding for Visual Amenity (UVA)" programme. Alternatively, the decommissioned spans of overhead conductor can be viewed alongside the newly commissioned underground cable on a map [ HERE] While we use reasonable endeavours to ensure that the data contained within this dataset is accurate, we do not accept any responsibility or liability for the accuracy or the completeness of the content held, or for any loss which may arise from reliance on this dataset and/or its related information. If you have any query related to the SP ENW Undergrounding for Visual Amenity dataset, please contact us [ HERE] *Actual dataset content is available to registered users only – If you have not already done so, log-in or create new account below* New User? - Create your new account [ HERE] Already registered as a SP ENW Portal User? - Log-In [ HERE] Have you an ODS Portal account created elsewhere? - Log-In [ HERE]
SP ENW - UVA - Commissioned Underground Cable

Dataset Classification - Open SP ENW - UVA - Commissioned Underground Cable This dataset shows the underground cable installed as part of SP Electricity North West's " Undergrounding for Visual Amenity (UVA)" programme. Alternatively, the decommissioned spans of overhead conductor can be viewed alongside the newly commissioned underground cable on a map [ HERE] While we use reasonable endeavours to ensure that the data contained within this dataset is accurate, we do not accept any responsibility or liability for the accuracy or the completeness of the content held, or for any loss which may arise from reliance on this dataset and/or its related information. If you have any query related to the SP ENW Undergrounding for Visual Amenity dataset, please contact us [ HERE] *Actual dataset content is available to registered users only – If you have not already done so, log-in or create new account below* New User? - Create your new account [ HERE] Already registered as a SP ENW Portal User? - Log-In [ HERE] Have you an ODS Portal account created elsewhere? - Log-In [ HERE]
Multi-country field data from the INDICANTS project from 2022 to 2024

[Lien vers la fiche source] These data were collected as part of the INDICANTS project, which received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 890856. The project aimed to develop point-of-care LAMP (Loop-mediated isothermal amplification) assays for field diagnosis of four vascular banana diseases: • Fusarium wilt, caused by Fusarium oxysporum f. sp. cubense (Foc) • Moko disease and banana blood disease (BDB), caused by Ralstonia solanacearum and Ralstonia syzygii subsp. celebesensis, respectively • Xanthomonas wilt of banana (BXW), caused by Xanthomonas vasicola pv. musacearum The four LAMP protocols have been validated on field samples. MOKO disease was diagnosed by a MOKO duplex- LAMP in Jamaica and from DNA samples supplied by Ecuador. Missions in Mozambique and Indonesia have been carried out for FocTR4 LAMP, in Uganda for BXW-LAMP , Indonesia for BDB-LAMP. Samples collected in banana plantations were directly tested by LAMP in the field or in non-laboratory environment after a simplified extraction method. Reference PCR/qPCR detection were carried out by the local partners in their laboratory to compare the results. Additionally, samples from Vietnam and Comoros have been collected by the Stellenbosch University in collaboration with local partners. Stellenbosch University determined the Vegetative Compatibility. Group (VCG) of the isolated fungi, and performed both LAMP and qPCR on the samples. This table includes data for all countries on banana cultivars, their locations, the tissues sampled, and the results of LAMP and PCR/qPCR tests performed on the banana samples.
Replication Data for: A simple training-free acoustic approach for rainfall monitoring based on Power Spectral Density analysis

[Lien vers la fiche source] This is the current repository for the paper "A simple training-free acoustic approach for rainfall monitoring based on Power Spectral Density analysis". The main objective of the paper is the development of a simple acoustic metric that can be used for rainfall monitoring in combination with other traditional tools, such as satellite data. It contains 16 datasets in the CSV format related to the 8 research sites, and data was collected in different periods between 2023 and 2026: baseline datasets: consisting of the mean PSDs of dry-weather samples for each hour of the day. Columns are labeled with the frequency values of the mean PSDs, and the index consists of hours (0-23) psds datasets: consisting of the extracted PSDs of 7 rainfall events, selected for the analysis presented in the research, with additional rain gauge data (total_rain column, in millimeters), a column describing if the audio contains the sound of rain (True/False), and the rainfall event ID (1-7). PSD columns are labeled with the frequency values Additionally, it contains an interactive Jupyter Notebook with simple code, used to calculate the proposed acoustic metric presented in the research, and a brief explanation of the employed methodology, along with figures for a visual aid.
Baubewilligungen nach Gemeinde und Quartal (seit 2005)

Hinweis: Aufgrund einer Prozessänderung bei der Erfassung von Baugesuchen kann dieser Datensatz derzeit nicht aktualisiert werden. Dieser Datensatz basiert auf dem kantonalen Gebäude- und Wohnungsregister (kGWR) und gibt den jeweiligen Informationsstand zum Zeitpunkt der Auswertung wieder. Es ist möglich, dass ein eingereichtes Bauprojekt nicht bewilligt oder ein bereits bewilligtes Bauprojekt anschliessend nicht realisiert wird.
Bauprojekte nach Gemeinde und Quartal (seit 2005)

Hinweis: Aufgrund einer Prozessänderung bei der Erfassung von Baugesuchen kann dieser Datensatz derzeit nicht aktualisiert werden. Dieser Datensatz basiert auf dem kantonalen Gebäude- und Wohnungsregister (kGWR) und gibt den jeweiligen Informationsstand zum Zeitpunkt der Auswertung wieder. Er zeigt die Anzahl Bauprojekte, welche pro Jahr und Quartal eingereicht wurden (massgebend ist das Datum der Baueingabe). Es ist möglich, dass ein eingereichtes Bauprojekt nicht bewilligt oder ein bereits bewilligtes Bauprojekt anschliessend nicht realisiert wird.
Bauprojekte nach Typ der Auftraggeber und Quartal (seit 2005)

Hinweis: Aufgrund einer Prozessänderung bei der Erfassung von Baugesuchen kann dieser Datensatz derzeit nicht aktualisiert werden. Dieser Datensatz basiert auf dem kantonalen Gebäude- und Wohnungsregister (kGWR) und gibt den jeweiligen Informationsstand zum Zeitpunkt der Auswertung wieder. Er zeigt die Anzahl Bauprojekte, welche pro Jahr und Quartal eingereicht wurden (massgebend ist das Datum der Baueingabe). Es ist möglich, dass ein eingereichtes Bauprojekt nicht bewilligt oder ein bereits bewilligtes Bauprojekt anschliessend nicht realisiert wird.
Gemeinde - Vintage/Millésimé - Germany

This dataset is part of the Geographical repository maintained by Huwise. Processors and tools are using this data. They have been extracted from the Verwaltungsgebiete 1:250 000 (VG250) published by BKG, and contain data since 2017. This dataset covers Germany at the Gemeinde (municipalities) level. Data source * Verwaltungsgebiete 1:250 000, © GeoBasis-DE / BKG (2017) * Verwaltungsgebiete 1:250 000, © GeoBasis-DE / BKG (2019) * Verwaltungsgebiete 1:250 000, © GeoBasis-DE / BKG (2020) * Verwaltungsgebiete 1:250 000, © GeoBasis-DE / BKG (2021) * Verwaltungsgebiete 1:250 000, © GeoBasis-DE / BKG (2022) * Verwaltungsgebiete 1:250 000, © GeoBasis-DE / BKG (2023) * Verwaltungsgebiete 1:250 000, © GeoBasis-DE / BKG (2024) * Verwaltungsgebiete 1:250 000, © GeoBasis-DE / BKG (2025) Enhancements * Added ISO 3166-3 codes. * Simplify geometries to provide better performance across the services.
Palynologie, Sougéal, 2021 - Zone Atelier Armorique ZAAr

[Lien vers la fiche source] Ce projet vise à élargir l’aspect temporel (quatre derniers siècles) de l’évolution de la végétation dans le marais de Sougéal par la discipline palynologique. En septembre 2020, deux secteurs ont fait l’objet de carottages dans le marais de Sougéal : la mare de la Musse et la roselière d’Alisson. Dans chacun d’eux, une carotte de sédiment de 70 cm de profondeur a été remontée et échantillonnée en laboratoire en vue de l’analyse du contenu en pollen et en microfossiles non polliniques des échantillons de sédiment. Les données polliniques caractérisent l’état du couvert végétal du marais et son évolution en différents points du marais au cours des derniers siècles pour des moments successifs précisément datés (14C et 137Cs-210Pb). Les reconstitutions quantitatives du couvert végétal du marais viendront compléter les suivis pluriannuels de la végétation et les cartes établies à partir des données de télédétection.
Employee remuneration and expenses (earning over $75,000)

This dataset includes remuneration and expenses from employees earning over $75,000/year. ### Note Amounts are in Canadian dollars. Asterisk (*) next to the employee name in Year 2012 and 2013 indicates exempt employee who received optional lump sum gratuity and vacation payouts. Amounts are included in the remuneration. ### Data currency The data on this site is scheduled to be updated annually. ### Data accuracy Some expenses may not reconcile within the same reporting period. The published Statement of financial information remains the authoritative source. Based on information recorded in the source system as at December 31st for each reporting year and does not include changes during the year. ### Websites for further information * [Financial reports and information]