AndreaBozzo/ceres-open-data-index huggingface dataset:
Vertical Complexity Index - Airborne LiDAR data of Mormal forest - IMPRINT

[Lien vers la fiche source] Data from the ANR IMPRINT Project (2019-2023) : Vertical Complexity Index (VCI), raster data (resolution = 10 m). This indicator is obtained using airborne LiDAR data from the Mormal forest which were carried out in June-July 2021. VCI quantifies the vertical layering of the vegetation (van Ewijk et al., 2011). It is a fixed normalisation of the Shannon Index, ranging from 0 and 1 : - values close to 0 = a very uneven distribution of vegetation points => most vegetation points are located at the same height, within a single layer, - values close to 1 = a very even distribution of vegetation points throughout the profile => most height bins have an equal amount of vegetation, suggesting many overlapping layers.
Subventions versées par le Département de Loire-Atlantique

Subventions versées par le Département de Loire-Atlantique depuis 2008 (données 2021 manquantes). De 2008 à 2020, seules les subventions versées aux associations sont publiées. Les données à partir de 2020 respectent le[ schéma national.] Pour les données avant 2019 : * la date de la convention est au 1e janvier afin d'avoir un format de date AAAA-MM-JJ (date non répertoriée au moment de la publication initiale des données) * toutes les subventions sont prises en comptes dès le premier euro * les objets n'étaient pas référencés en détail
A collection of datasets on forest biodiversity and microclimates in France (2019-2023)

[Lien vers la fiche source] All the data stored in this collection of datasets was collected during the period 2019-2023 within the framework of the project number ANR-19-CE32-0005 entitled "Impacts of Microclimatic Processes on foRest bIodiversity redistributioN under macroclimaTe warming" (IMPRINT) funded by the Agence nationale de la recherche (ANR). The project aims to model forest microclimates at fine spatiotemporal resolution and link it to understory biodiversity data. The different datasets available in that collection contain (i) biodiversity surveys (vascular plants, bryophytes and soil artropods), (ii) in-situ microclimate records (both air and soil temperature near the ground surface), (iii) ground-truth measurements of stand characteristics (maximum height, stem diameter, species identity and status) and (iv) high-resolution airborne LiDAR images, all collected across three deciduous state forests in France (Aigoual, Blois and Mormal). Mormal is a lowland forest dominated by beech (Fagus sylvatica) and/or pedunculate oak (Quercus robur) stands, Blois is a lowland forest dominated by pure sessile oak stands (Quercus petraea), and Aigoual is a mountain forest dominated by pure beech stands. All three are state forests managed by the ONF (Office National des Forêts, i.e. French forest office), mostly as even-aged “high forests”, except for a few coppices in Aigoual as well as some stands not managed for accessibility or conservation reasons.
SPM DFES Substation Polygons Primary Substation

The "SPM DFES Substation Polygons Primary Substation" data table provides geographic areas supplied by the primary substations in SPM. The table gives the following information: 1. Level of each substation 2. Geo point per substation 3. Geo shape per substation For additional information on column definitions, please click the Dataset schema link below. ### Disclaimer Whilst all reasonable care has been taken in the preparation of this data, SP Energy Networks does not accept any responsibility or liability for the accuracy or completeness of this data, and is not liable for any loss that may be attributed to the use of this data. For the avoidance of doubt, this data should not be used for safety critical purposes without the use of appropriate safety checks and services e.g. LineSearchBeforeUDig etc. Please raise any potential issues with the data which you have received via the feedback form available at the Feedback tab above (must be logged in to see this). The boundaries change periodically as our network evolves, e.g. if we add a new primary substation or interconnect primary substations. These are the polygons that reflect the network at the time the DFES is published; other publications have their own sets of polygons where applicable. ### Data Triage As part of our commitment to enhancing the transparency, and accessibility of the data we share, we publish the results of our Data Triage process. Our Data Triage documentation includes our Risk Assessments; detailing any controls we have implemented to prevent exposure of sensitive information. Click [here]to access the Data Triage documentation for the Distribution Future Energy Scenarios dataset. To access our full suite of Data Triage documentation, visit [the SP Energy Networks Data & Information page]. [Download dataset metadata (JSON)]
ENC MCO - Valeurs nationales de coûts 2022

Les résultats complets de l'ENC 2022 sont disponibles dans les pièces jointes. Les fichiers Excel contiennent les coûts moyens 2022 par GHM et GHS et différents indicateurs permettent d'évaluer la fiabilité des estimations de coûts. Le guide pratique expose les nouveautés du fichier Excel et la démarche d'analyse d'un coût. La note de fin de campagne présente l'échantillon, les nouveautés du recueil et la méthode d'estimation des coûts.
Neu erstellte Wohnungen nach Anzahl Zimmer nach Politischer Gemeinde

Der Datensatz enthält die neu erstellten Wohnungen nach Anzahl Zimmern in den Politischen Gemeinden des Kantons Thurgau ab dem Jahr 2013. Quellenangabe: Bundesamt für Statistik, Bau- und Wohnbaustatistik Mehr Informationen zu den Daten finden Sie [hier].
Plant Area Index - Airborne LiDAR data of Mormal forest - IMPRINT

[Lien vers la fiche source] Data from the ANR IMPRINT Project (2019-2023) : Plant Area Index (PAI), raster data (resolution = 10 m). This indicator is obtained using LiDAR data from the Mormal forest which were carried out between the 16th June 2021 and the 18th July 2021. The PAI gives information on the distribution of vegetation along a vertical profile. It is an estimation of the total plant area (leaves and woody structures) per unit ground surface area participating in light occlusion, and is based on the Beer-Lambert Law considering that light pulses will be attenuated through canopy cover (Vincent et al., 2015; Lenoir et al., 2022).
SPM DFES LCT Totals by Local Authority

The "SPM DFES LCT Totals by Local Authority" data table provides the forecast numbers of heat pumps, EVs, and residential EVs only, aggregated to local authority level. Reports and methodology documents can be found in the DFES section of our website: [Distribution Future Energy Scenarios - SP Energy Networks] The table gives the following information: 1. Forecast totals by technology type for each local authority For additional information on column definitions, please click on the Dataset schema link below. ### Disclaimer Whilst all reasonable care has been taken in the preparation of this data, SP Energy Networks does not accept any responsibility or liability for the accuracy or completeness of this data, and is not liable for any loss that may be attributed to the use of this data. For the avoidance of doubt, this data should not be used for safety critical purposes without the use of appropriate safety checks and services e.g. LineSearchBeforeUDig etc. Please raise any potential issues with the data which you have received via the feedback form available at the Feedback tab above (must be logged in to see this). ### Data Triage As part of our commitment to enhancing the transparency, and accessibility of the data we share, we publish the results of our Data Triage process. Our Data Triage documentation includes our Risk Assessments; detailing any controls we have implemented to prevent exposure of sensitive information. Click [here]to access the Data Triage documentation for the Distribution Future Energy Scenarios dataset. To access our full suite of Data Triage documentation, visit [the SP Energy Networks Data & Information page]. [Download dataset metadata (JSON)]
Plant Area Index - Airborne LiDAR data of Blois forest - IMPRINT

[Lien vers la fiche source] Data from the ANR IMPRINT Project (2019-2023) : Plant Area Index (PAI), raster data (resolution = 10 m). This indicator is obtained using airborne LiDAR data from the Blois forest which were carried out on the 17th of June 2021. The PAI gives information on the distribution of vegetation along a vertical profile. It is an estimation of the total plant area (leaves and woody structures) per unit ground surface area participating in light occlusion, and is based on the Beer-Lambert Law considering that light pulses will be attenuated through canopy cover (Vincent et al., 2015; Lenoir et al., 2022).
SPD DFES LCT Totals by Local Authority

The "SPD DFES LCT Totals by Local Authority" data table provides the forecast numbers of heat pumps, EVs, and residential EVs only, aggregated to local authority level. Reports and methodology documents can be found in the DFES section of our website: [Distribution Future Energy Scenarios - SP Energy Networks] The table gives the following information: 1. Forecast totals by technology type for each local authority For additional information on column definitions, please click on the Dataset schema link below. ### Disclaimer Whilst all reasonable care has been taken in the preparation of this data, SP Energy Networks does not accept any responsibility or liability for the accuracy or completeness of this data, and is not liable for any loss that may be attributed to the use of this data. For the avoidance of doubt, this data should not be used for safety critical purposes without the use of appropriate safety checks and services e.g. LineSearchBeforeUDig etc. Please raise any potential issues with the data which you have received via the feedback form available at the Feedback tab above (must be logged in to see this). ### Data Triage As part of our commitment to enhancing the transparency, and accessibility of the data we share, we publish the results of our Data Triage process. Our Data Triage documentation includes our Risk Assessments; detailing any controls we have implemented to prevent exposure of sensitive information. Click [here]to access the Data Triage documentation for the Distribution Future Energy Scenarios dataset. To access our full suite of Data Triage documentation, visit [the SP Energy Networks Data & Information page]. [Download dataset metadata (JSON)]
Plant Area Index - Airborne LiDAR data of Aigoual forest - IMPRINT

[Lien vers la fiche source] Data from the ANR IMPRINT Project (2019-2023) : Plant Area Index (PAI), raster data (resolution = 10 m). This indicator is obtained using LiDAR data from the Aigoual forest which were carried out on the 18th of July 2021. We cover a subset of the Aigoual forest, a central part covering both the Lozère and Gard departments. The PAI gives information on the distribution of vegetation along a vertical profile. It is an estimation of the total plant area (leaves and woody structures) per unit ground surface area participating in light occlusion, and is based on the Beer-Lambert Law considering that light pulses will be attenuated through canopy cover (Vincent et al., 2015; Lenoir et al., 2022).
SPM DFES Totals by Substation

The "SPM DFES Totals by Substation" data table provides the forecast numbers of heat pumps, EVs, and residential EVs only, aggregated to local authority level. Reports and methodology documents can be found in the DFES section of our website: [Distribution Future Energy Scenarios - SP Energy Networks] The table gives the following information: 1. Forecast totals by technology type for each substation For additional information on column definitions, please click the Dataset schema link below. ### Disclaimer Whilst all reasonable care has been taken in the preparation of this data, SP Energy Networks does not accept any responsibility or liability for the accuracy or completeness of this data, and is not liable for any loss that may be attributed to the use of this data. For the avoidance of doubt, this data should not be used for safety critical purposes without the use of appropriate safety checks and services e.g. LineSearchBeforeUDig etc. Please raise any potential issues with the data which you have received via the feedback form available at the Feedback tab above (must be logged in to see this). ### Data Triage As part of our commitment to enhancing the transparency, and accessibility of the data we share, we publish the results of our Data Triage process. Our Data Triage documentation includes our Risk Assessments; detailing any controls we have implemented to prevent exposure of sensitive information. Click [here]to access the Data Triage documentation for the Distribution Future Energy Scenarios dataset. To access our full suite of Data Triage documentation, visit [the SP Energy Networks Data & Information page]. [Download dataset metadata (JSON)]
SPD DFES Totals by Substation

The "SPD DFES Totals by Substation" data table provides a geographically granular view of key metrics presented at both primary substation level and also at Grid Supply Point (GSP) level. It provides data for 88 GSPs (132/33kV transformers providing 33kV (or EHV (Extra High Voltage)) network). This is a complete view of all substations that supply multiple demand customers (i.e. single-customer sites are excluded from the forecasts). Reports and methodology documents can be found in the DFES section of our website: [Distribution Future Energy Scenarios - SP Energy Networks] The table gives the following information: 1. Forecast totals by technology type for each substation For additional information on column definitions, please click the Dataset schema link below. ### Disclaimer Whilst all reasonable care has been taken in the preparation of this data, SP Energy Networks does not accept any responsibility or liability for the accuracy or completeness of this data, and is not liable for any loss that may be attributed to the use of this data. For the avoidance of doubt, this data should not be used for safety critical purposes without the use of appropriate safety checks and services e.g. LineSearchBeforeUDig etc. Please raise any potential issues with the data which you have received via the feedback form available at the Feedback tab above (must be logged in to see this). The data corresponds to the previous NG Electricity System Operator's Future Energy Scenarios (FES) release. ### Data Triage As part of our commitment to enhancing the transparency, and accessibility of the data we share, we publish the results of our Data Triage process. Our Data Triage documentation includes our Risk Assessments; detailing any controls we have implemented to prevent exposure of sensitive information. Click [here]to access the Data Triage documentation for the Distribution Future Energy Scenarios dataset. To access our full suite of Data Triage documentation, visit [the SP Energy Networks Data & Information page]. [Download dataset metadata (JSON)]
SPM DFES Breakdown by Licence

The "SPM DFES Breakdown by Licence" data table provides a detailed breakdown of peak demand and installed generation capacity by technology type at a licence level. Reports and methodology documents can be found in the DFES section of our website: [Distribution Future Energy Scenarios - SP Energy Networks] The table gives the following information: 1. Generation capacity by technology type 2. Scenario associated 3. Year associated For additional information on column definitions, please click on the Dataset schema link below. ### Disclaimer Whilst all reasonable care has been taken in the preparation of this data, SP Energy Networks does not accept any responsibility or liability for the accuracy or completeness of this data, and is not liable for any loss that may be attributed to the use of this data. For the avoidance of doubt, this data should not be used for safety critical purposes without the use of appropriate safety checks and services e.g. LineSearchBeforeUDig etc. Please raise any potential issues with the data which you have received via the feedback form available at the Feedback tab above (must be logged in to see this). The date corresponds to the previous NG Electricity System Operator's Future Energy Scenarios (FES) release. ### Data Triage As part of our commitment to enhancing the transparency, and accessibility of the data we share, we publish the results of our Data Triage process. Our Data Triage documentation includes our Risk Assessments; detailing any controls we have implemented to prevent exposure of sensitive information. Click [here]to access the Data Triage documentation for the Distribution Future Energy Scenarios dataset. To access our full suite of Data Triage documentation, visit [the SP Energy Networks Data & Information page]. [Download dataset metadata (JSON)]
SPD DFES Breakdown by Licence

The "SPD DFES Breakdown by Licence" data table provides a detailed breakdown of peak demand and installed generation capacity by technology type at a licence level. Reports and methodology documents can be found in the DFES section of our website: [Distribution Future Energy Scenarios - SP Energy Networks] The table gives the following information: 1. Generation capacity by technology type 2. Scenario associated 3. Year associated For additional information on column definitions, please click on the Dataset schema link below. ### Disclaimer Whilst all reasonable care has been taken in the preparation of this data, SP Energy Networks does not accept any responsibility or liability for the accuracy or completeness of this data, and is not liable for any loss that may be attributed to the use of this data. For the avoidance of doubt, this data should not be used for safety critical purposes without the use of appropriate safety checks and services e.g. LineSearchBeforeUDig etc. Please raise any potential issues with the data which you have received via the feedback form available at the Feedback tab above (must be logged in to see this). The date corresponds to the previous NG Electricity System Operator's Future Energy Scenarios (FES) release. ### Data Triage As part of our commitment to enhancing the transparency, and accessibility of the data we share, we publish the results of our Data Triage process. Our Data Triage documentation includes our Risk Assessments; detailing any controls we have implemented to prevent exposure of sensitive information. Click [here]to access the Data Triage documentation for the Distribution Future Energy Scenarios dataset. To access our full suite of Data Triage documentation, visit [the SP Energy Networks Data & Information page]. [Download dataset metadata (JSON)]
Subventions depuis 2017

Liste des subventions supérieures à 23 000€ attribuées par l'Agglomération Montargoise depuis 2017, conformément à la publication, le 7 mai 2017, du décret n°2017-779 du 5 mai 2017, relatif à l’accès sous forme électronique aux données des conventions de subvention et de l’arrêté du 17 novembre 2017 relatif aux conditions de mises à disposition des données essentielles des conventions de subvention. Jeu de données conforme au standard du Schéma Commun des Données Locales (https://schema.data.gouv.fr/scdl/subventions/)
SPM DFES Substation Polygons Grid Supply Point

The "SPM DFES Substation Polygons Grid Supply Point" data table provides geographic areas supplied by the grid supply points in SPM. The table gives the following information: 1. Level of each substation 2. Geo point per substation 3. Geo shape per substation For additional information on column definitions, please click the Dataset schema link below. ### Disclaimer Whilst all reasonable care has been taken in the preparation of this data, SP Energy Networks does not accept any responsibility or liability for the accuracy or completeness of this data, and is not liable for any loss that may be attributed to the use of this data. For the avoidance of doubt, this data should not be used for safety critical purposes without the use of appropriate safety checks and services e.g. LineSearchBeforeUDig etc. Please raise any potential issues with the data which you have received via the feedback form available at the Feedback tab above (must be logged in to see this). The boundaries change periodically as our network evolves, e.g. if we add a new primary substation or interconnect primary substations. These are the polygons that reflect the network at the time the DFES is published; other publications have their own sets of polygons where applicable. ### Data Triage As part of our commitment to enhancing the transparency, and accessibility of the data we share, we publish the results of our Data Triage process. Our Data Triage documentation includes our Risk Assessments; detailing any controls we have implemented to prevent exposure of sensitive information. Click [here]to access the Data Triage documentation for the Distribution Future Energy Scenarios dataset. To access our full suite of Data Triage documentation, visit [the SP Energy Networks Data & Information page]. [Download dataset metadata (JSON)]
SPM DFES Substation Polygons Grid Group

The "SPM DFES Substation Polygons Grid Group" data table provides geographic areas supplied by the grid groups in SPM. The table gives the following information: 1. Level of each substation 2. Geo point per substation 3. Geo shape per substation For additional information on column definitions, please click the Dataset schema link below. ### Disclaimer Whilst all reasonable care has been taken in the preparation of this data, SP Energy Networks does not accept any responsibility or liability for the accuracy or completeness of this data, and is not liable for any loss that may be attributed to the use of this data. For the avoidance of doubt, this data should not be used for safety critical purposes without the use of appropriate safety checks and services e.g. LineSearchBeforeUDig etc. Please raise any potential issues with the data which you have received via the feedback form available at the Feedback tab above (must be logged in to see this). The boundaries change periodically as our network evolves, e.g. if we add a new primary substation or interconnect primary substations. These are the polygons that reflect the network at the time the DFES is published; other publications have their own sets of polygons where applicable. ### Data Triage As part of our commitment to enhancing the transparency, and accessibility of the data we share, we publish the results of our Data Triage process. Our Data Triage documentation includes our Risk Assessments; detailing any controls we have implemented to prevent exposure of sensitive information. Click [here]to access the Data Triage documentation for the Distribution Future Energy Scenarios dataset. To access our full suite of Data Triage documentation, visit [the SP Energy Networks Data & Information page]. [Download dataset metadata (JSON)]