AndreaBozzo/ceres-open-data-index huggingface dataset:
Data on the Genetic Diversity Study of the African Olive (Canarium schweinfurthii, Burseraceae) in Africa for Climate Change Adaptation

[Lien vers la fiche source] In Africa, the decline of numerous tree species due to rapid population growth, deforestation, and climate change is a major concern. Several native multi-purpose agroforestry species are at risk of losing genetic diversity, which may lead to their extinction. This is the case for Canarium schweinfurthii of the Burseraceae family, one of the most overexploited species for its multiple uses in West and Central Africa. It is essential to develop sustainable conservation strategies for this species, focusing particularly on the sustainable management of its genetic resources. The aim of the study is to contribute to the conservation and sustainable management of Canarium schweinfurthii. Data were collected from trees in various phytogeographical zones in Africa to document and map the spatial distribution of its genetic diversity for sustainable management. These data include information on: 1. the geographic coordinates, dendrometry, ethnobotany, and type of plant material (leaf or cambium) collected from tree individuals for the extraction of genetic material (DNA); 2. the genetic sequences (base arrangement and orientation) of microsatellite markers developed through QDD software from a sample named "CS19"; 3. the genetic sequences of microsatellite markers developed through QDD software from a sample named "CS45"; 4. the genetic sequences of 13 polymorphic microsatellite markers selected and used for the study of genetic structure; 5. the amplification data of these markers on 98 selected individuals. Below you will find documents and links to external repository content: 1. [Script PERL]; 2. [PERL script for pairing]; Applications for access and research permits (ABS Agreement of the Nagoya Protocol) have been submitted to the Nagoya focal points of the countries concerned by the authors from the various countries and are in the process of being obtained.
Reaching V2(PO4)3 by sodium extraction from single-phase NaxV2(PO4)3 (1 < x < 3) positive electrode materials

[Lien vers la fiche source] Dataset production context : In the present work, we report on single-phase NaxV2(PO4)3 compositions (1.5 ≤ x ≤ 2.5) of the Na super ionic conductor type, obtained from a straightforward synthesis route. Typically, chemically prepared c-Na2V2(PO4)3, obtained by annealing an equimolar mixture of Na3V2(PO4)3 and NaV2(PO4)3, exhibits a specific sodium-ion distribution (occupancy of the Na(1) site of only 0.66(4)), whereas that of the electrochemically obtained e-Na2V2(PO4)3 (from Na3V2(PO4)3) is close to 1. Unlike conventional Na3V2(PO4)3, when used as positive electrode materials in Na-ion batteries, the NaxV2(PO4)3 compositions lead to unusual single-phase Na^{+} extraction/insertion mechanisms with continuous voltage changes upon Na^{+} extraction/insertion. We demonstrate that the average equilibrium operating voltage observed upon Na^{+} deintercalation from single-phase Na2V2(PO4)3 is increased up to an average value of ~3.70 V versus Na^{+}/Na (thanks to the activation of the V^{4+}/V^{5+} redox couple) compared to 3.37 V versus Na^{+}/Na in conventional Na3V2(PO4)3, thus leading to an increase in the theoretical energy density from 396.3 Wh kg^{–1} to 458.1 Wh kg^{–1}. Electrochemical and chemical Na^{+} deintercalation from c-Na2V2(PO4)3 enables complete Na-ion extraction, increasing energy density. All these data are taken from the work of M. Sunkyu Park, Kriti Choudhary and were used to produce the article (cited below) in its initial version.
Fiches de diagnostic par régime hydrologique des modèles hydrologiques de surface du projet Explore2

[Lien vers la fiche source] Un diagnostic des modèles hydrologiques mobilisés dans le projet Explore2 a fait l’objet d’un rapport détaillé [(Sauquet et al., 2023)]. L’objectif n’était pas de mettre en compétition les modèles hydrologiques mais bien d’aider, autant que possible, à faire un choix éclairé sur le groupement de modèles à privilégier pour caractériser le devenir des caractéristiques hydrologiques d’un cours d’eau sous un climat modifié. Ce diagnostic repose sur une sélection de critères numériques qui permettent d’évaluer la capacité des modèles à reconstituer les différentes phases des régimes hydrologiques et à fournir des débits fiables en extrapolation spatiale (en dehors des points d’évaluation). Des fiches de synthèse ont été établies regroupant les résultats aux stations de référence par régime hydrologique : Pluvial modérément contrasté, Pluvial contrasté, Pluvio−nival, Nivo−pluvial, Nival & nivo−glaciaire. [Une notice de lecture accompagne ces fiches].
Fiches de diagnostic régional des modèles hydrogéologiques du projet Explore2

[Lien vers la fiche source] Un diagnostic des modèles hydrogéologiques mobilisés dans le projet Explore2 a fait l’objet d’un rapport détaillé [(Sauquet et al., 2023)]. Ce diagnostic repose sur une sélection de critères numériques qui permettent d’évaluer la capacité des modèles à reconstituer les niveaux piézométriques. Des fiches de synthèse ont été établies à l’échelle régionale pour les hauteurs piézométriques et sont téléchargeables sur le portail [DRIAS les futurs de l’eau]. [Une notice de lecture accompagne ces fiches].
Fiches de diagnostic régional des modèles hydrologiques de surface du projet Explore2

[Lien vers la fiche source] Un diagnostic des modèles hydrologiques mobilisés dans le projet Explore2 a fait l’objet d’un rapport détaillé [(Sauquet et al., 2023)]. L’objectif n’était pas de mettre en compétition les modèles hydrologiques mais bien d’aider, autant que possible, à faire un choix éclairé sur le groupement de modèles à privilégier pour caractériser le devenir des caractéristiques hydrologiques d’un cours d’eau sous un climat modifié. Ce diagnostic repose sur une sélection de critères numériques qui permettent d’évaluer la capacité des modèles à reconstituer les différentes phases des régimes hydrologiques et à fournir des débits fiables en extrapolation spatiale (en dehors des points d’évaluation). Des fiches de synthèse ont été établies aux points d’évaluation et à l’échelle régionale et sont téléchargeables sur le portail [DRIAS les futurs de l’eau]. [Une notice de lecture accompagne ces fiches].
Genomics of white and black fonio millets : passport data, snp and kmer files.

[Lien vers la fiche source] Crop evolutionary history and domestication processes are key issues for better conservation and effective use of crop genetic diversity. In Western Africa, two small indigenous grain cereals are found, black and white fonio (Digitaria exilis and Digitaria iburua respectively). The relationship between these two cultivated crops and wild Digitaria species is still unclear. We analysed whole genome sequences of 265 accessions comprising the two cultivated species and their closely wild relatives. We used different complementary methods and genomic approaches to unravel the domestication history of these fonio millets, which is key to support a process of valorisation of these native species while preserving the diversity necessary for future adaptations. We provide here the passport data, the vcf files, and the kmer files used to perform the analyses. Codes can be accessed in the [CIRAD GitLab repository] Two compressed VCF files are provided. They contain high quality biallelic SNPs. One is filtered for Minor Allele Frequency (MAF) at 5%. Both vcf.gz are associated to their corresponding index file .tbi Different extensions for the kmer analysis files are provided and correspond to the 1,000,000 k-mer presence/absence table for each individual.
French-speaking homework schools subsidised by the “Office de la Naissance et de l'Enfance (ONE)” and located on the territory of the City of Brussels

French-speaking homework schools subsidised by the “Office de la Naissance et de l'Enfance (ONE)” and located on the territory of the City of Brussels A homework school subsidised by the “Office de la Naissance et de l'Enfance (ONE)” is a facility for children and young people aged 6 to 18, open after school hours and independent of schools. More info : [https://my.one.be/information/ecoles-de-devoirs] [ ]
Physico-chemical parameters of river water in Nivelle and its tributaries (Pyrénées Atlantiques county - France)

[Lien vers la fiche source] The data consist of physico-chemical parameters of river water in Nivelle and its tributaries, collected since 2009. The parameters are water temperature (°C), hydrogen potential (pH), conductivity, turbidity, nitrates (NO3-), ammonium (NH4+) and ortophosphates (PO4 ---). This data is collected as part of the French Environmental Research Observatory (ERO) on Diadromous Fish in Coastal rivers (DiaPFC). ORE DiaPFC is a research infrastructure dedicated to the study of diadromous fish populations under the influence of anthropic pressure (e.g. agriculture) and environmental changes (e.g. climate). The Nivelle is a 39 km long coastal stream of Pays Basque. It has its source in Spain and flows into the Bay of Biscay at Saint-Jean-de-Luz. Its drainage basin has a surface area of 238 km2, and is dominated by marly-calcareous formations. It is essentially agro-pastoral with more than 50% of the land area made of moors (Dumas, 2003). The oceanic climate, mild and wet (1700 mm year-1 in St-Pée-sur-Nivelle), provides a mean annual discharge of 5.4m3/s downstream from the confluence of the main tributary, the Lurgorrieta, and 9m3/s at the mouth.
DataDrees_Badiane

La base de données interadministrative des ESMS (BADIANE) est un fichier à vocation d’études et de recherches, rassemblant des informations relatives au fonctionnement, à l’activité, au personnel et au public accueilli dans les structures médico-sociales. Le champ de cette base statistique vise à couvrir dans un premier temps les structures intervenant auprès des personnes âgées ; il sera dans un second temps élargi aux structures intervenant auprès des adultes et enfant handicapés. La base de données est annuelle et permet ainsi le suivi régulier de données représentatives des structures au niveau national et au niveau territorial. La base ne couvre actuellement que le champ des établissements d’hébergement pour personnes âgées dépendantes (Ehpad).
SPD Operational Flexibility Requirements 2024-2028

The "Operational Flexibility Requirements 2024-2028 Heat Map" data table provides an indication of potential short and longer term operational flexibility requirements on our network in upcoming years. This allows potential customers and flexibility service providers to interactively view the estimated overall MWh opportunity available in specific constrained areas to evaluate their eligibility for flexibility tender participation in upcoming months or years. The table gives the following information: 1. Flexible capacity that is required per substation 2. The year flexibility is required 3. Substation within zone where flexibility is required 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 Flexibility Market Prospectus dataset. To access our full suite of Data Triage documentation, visit the [SP Energy Networks Data & Information]. [Download dataset metadata (JSON)]
Données de frise chronologique pour la Zone Atelier Bassin de la Moselle

[Lien vers la fiche source] Des données hétérogènes décrivant l'évolution de la Zone Atelier Bassin de la Moselle ont été collectées, réunies, puis représentées sous la forme d'une frise chronologique à l'occasion de la rédaction du chapitre ZAM de l'ouvrage "Zones Ateliers, Un réseau de co-recherches sur les socio-écosystèmes : historique et perspectives". Ces données sont organisées selon les classes suivantes : "Faits externes', "Construction et développement", "Gouvernance et communication", "Thèmes de recherche", "Disciplines mobilisée", acteurs de la "Transdiciplinarité". Le protocole suivi est identique pour toutes les Zones Ateliers.
Compromisos del Pacto para la Recuperación Económica, el Empleo y la Cohesión Social

86 medidas del Pacto para la Recuperación Económica, el Empleo y la Cohesión Social. Se centran en cinco grandes ejes: sanidad de calidad y equidad, economía y empleo, protección social, servicios públicos y financiación de la Comunidad tanto a nivel nacional como en la Unión Europea. El objetivo es garantizar la estabilidad política, económica y social para impulsar el futuro de Castilla y León tras la crisis sanitaria provocada por la COVID-19. En cada compromiso se indica a qué eje (bloque) pertenece, las consejerías y órganos responsables, y el estado de ejecución junto con las fechas de inicio y de finalización, en su caso. Compromisos del pacto de recuperación económica
Les types de climats en France, une construction spatiale

[Lien vers la fiche source] English: Taking into account measurements made by Météo-France recording stations, a data set related to temperature and precipitation is worked out for a 30 years period (1971-2000), it includes 14 variables able to characterize the climates and their specific variability. An original method, so called local interpolation, allows the representation of each of the 14 variables as a continuous field and stores them in the form of GIS data layers. This data is then processed by Coupling Correspondence Analysis and Ascending Hierarchical Classification in order to obtain a typology where 8 climates are identified and mapped on the French continental territory.
Sensitivity Factors (Export)

## Introduction This dataset provides Sensitivity Factors (SFs) for UK Power Networks' three licence areas. SFs represent the marginal impact of a power injection at a node on the network to branches (lines or transformers) elsewhere. They provide a simplified, linearised way of modelling the marginal impact of a MW generated in one part of the network on key constraints and are therefore widely used to model distributed energy resources (DERs) on the network. This analysis can be critical to developers assessing new projects. This dataset is calculated under an Export scenario of maximum generation and minimum demand. Please see the [SFs (Import) dataset] for sensitivity factors conducted under maximum demand, minimum generation conditions. ## Methodology SFs are calculated in PowerFactory based on an AC load flow. When calculating SFs for lines/cables/circuits, SFs are calculated between the node, which is where the import/export of power will take place, and the branch, which is where the change in power will be felt. For example, 1 MW injected at the node would have 0.8 MW decrease at the branch if the SF between the node and branch is -0.8. For transformers, we model between the HV node and the LV node. The SF values given are a fraction, dP/dP, that is, the increase or decrease in MW flow along the branch, resulting from a 1 MW active power injection at the node. The SFs are calculated under static network conditions and in intact running arrangements. They are a useful approximation of network suitable for modelling purposes, but do not reflect the real-time variability resulting from changing running arrangements and network loading. SFs are calculated on a per-Grid Supply Point basis: SFs are not provided between nodes and branches in different Grid Supply Points. ## Interoperability This dataset is interoperable with our [Long Term Development Statement (LTDS) publications]. Nodes can be matched with LV or HV node names in [Tables 2a] and [2b], while branches can be linked with the lines reported in [Table 1] and transformers in [Tables 2a] and [2b]. Using these datasets, users can retrieve asset ratings to assist curtailment studies. ## Quality Control Statement This dataset is subjected to algorithmic tests to ensure the data is clean. In addition, interoperability tests ensure that the dataset can be linked with tables from the Long Term Development Statement, also available on the Open Data Portal. ## Assurance Statement Sensitivity Factors are produced by UK Power Networks engineers, based on up-to-date PowerFactory models. The data is also reviewed by DSO data scientists before publication on the Open Data Portal. ## 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.
Sensitivity Factors (Import)

## Introduction This dataset provides Sensitivity Factors (SFs) for UK Power Networks' three licence areas. SFs represent the marginal impact of a power injection at a node on the network to branches (lines or transformers) elsewhere. They provide a simplified, linearised way of modelling the marginal impact of a MW generated in one part of the network on key constraints and are therefore widely used to model distributed energy resources (DERs) on the network. This analysis can be critical to developers assessing new projects. This dataset is calculated under an Import scenario of maximum demand and minimum generation. Please see the [SFs (Export) dataset] for sensitivity factors conducted under maximum generation, minimum demand conditions. ## Methodology: SFs are calculated in PowerFactory based on an AC load flow. When calculating SFs for lines/cables/circuits, SFs are calculated between the node, which is where the import/export of power will take place, and the branch, which is where the change in power will be felt. For example, 1 MW injected at the node would have 0.8 MW decrease at the branch if the SF between the node and branch is -0.8. For transformers, we model between the HV node and the LV node. The SF values given are a fraction, dP/dP, that is, the increase or decrease in MW flow along the branch, resulting from a 1 MW active power injection at the node. The SFs are calculated under static network conditions and in intact running arrangements. They are a useful approximation of network suitable for modelling purposes, but do not reflect the real-time variability resulting from changing running arrangements and network loading. SFs are calculated on a per-Grid Supply Point basis: SFs are not provided between nodes and branches in different Grid Supply Points. ## Interoperability: This dataset is interoperable with our [Long Term Development Statement (LTDS) publications]. Nodes can be matched with LV or HV node names in [Tables 2a] and [2b], while branches can be linked with the lines reported in [Table 1] and transformers in [Tables 2a] and [2b]. Using these datasets, users can retrieve asset ratings to assist curtailment studies. ## Quality Control Statement This dataset is subjected to algorithmic tests to ensure the data is clean. In addition, interoperability tests ensure that the dataset can be linked with tables from the Long Term Development Statement, also available on the Open Data Portal. ## Assurance Statement Sensitivity Factors are produced by UK Power Networks engineers, based on up-to-date PowerFactory models. The data is also reviewed by DSO data scientists before publication on the Open Data Portal. 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.
Evaluation of the precision and accuracy of models of enteric methane emissions from ruminants using Bayesian inference_Code_Supplementary_material

[Lien vers la fiche source] This folder contains a list of extant empirical models of enteric methane production of ruminants, the supplementary material and the Python code associated to the research article "Evaluation of the precision and accuracy of models of enteric methane emissions from ruminants using Bayesian inference". This study aimed to compare the predictive accuracy and precision of ten total enteric methane production models, incorporating uncertainty using Bayesian inference.
Données de frise chronologique pour la Zone Atelier Plaine et Val de Sèvre

[Lien vers la fiche source] Des données hétérogènes décrivant l'évolution de la Zone Atelier Plaine et Val de Sèvre ont été collectées, réunies, puis représentées sous la forme d'une frise chronologique à l'occasion de la rédaction du chapitre ZAPVS de l'ouvrage "Zones Ateliers, Un réseau de co-recherches sur les socio-écosystèmes : historique et perspectives". Ces données sont organisées selon les classes suivantes : "Faits externes', "Construction et développement", "Gouvernance et communication", "Thèmes de recherche", "Disciplines mobilisée", acteurs de la "Transdiciplinarité". Le protocole suivi est identique pour toutes les Zones Ateliers.
Data for fast-charging of lithium iron phosphate battery with ohmic-drop compensation method

[Lien vers la fiche source] In this study, fast-charging of lithium iron phosphate batteries is investigated with ohmic-drop compensation method. The Li-ion batteries used are C-LiFePO4 cylinder cells manufactured by PHET (model: IFR13N0-PE1150). The nominal voltage for this battery is about 3.3 V at open-circuit. The nominal capacity of these batteries is 1.1Ah. Each file contains either data from charge or discharge at different C-rate: • Charge(XC)_X. This file contains the experimental raw data of the charge at XC • Discharge(XC)_X. This file contains the experimental raw data of the discharge at XC
Habitat sharing and interspecies interactions in caves used by bats in the Republic of Congo

[Lien vers la fiche source] The first file shows the raw results of the camera traps after processing with Megadetector and Timelapse. The second file selects only positive detections with an independent detection time of 30 min. The R scripts allow you to redo all the analyses and figures based on the raw data file (follow the script number). The figures and analyses presented in the article can also be redone using scripts 3 and 4 with the help of cleaned data.
Jardiner ma ville

Localisation des espaces dédiés "Jardiner ma ville" sur le Territoire de la Ville de Boulogne-Billancourt GPSO offre aux habitants la possibilité de jardiner et d'entretenir un bout d'espace public. Vous avez la main verte et souhaitez participer à l'amélioration de votre cadre de vie et contribuer à plus de nature en ville ? Vous pouvez également soumettre votre projet de végétalisation de manière spontanée. Un espace ferait un parterre ou un potager idéal ? Vous souhaitez embellir votre rue ? Répondez à l'appel à candidature lancé par GPSO. Votre projet est à adresser par mail à gpso@seineouest.fr Numéro d’appel gratuit : 0 800 10 10 21 https://www.seineouest.fr/jardiner-ma-ville