AndreaBozzo/ceres-open-data-index huggingface dataset:
Called genotypes (chromosome 1) from Illumina whole-genome sequencing of an Indica x Japonica rice F2 population

[Lien vers la fiche source] Motivation: Genotyping of bi-parental populations can be performed with low-coverage next-generation sequencing (LC-NGS). This allows the creation of highly saturated genetic maps at reasonable cost, precisely localized recombination breakpoints (i.e., the crossovers), and minimized mapping intervals for quantitative-trait locus analysis. LC-NGS data usually need to be imputed. Here we present imputed genotypes for rice chromosome 1 obtained from Illumina whole-genome low-coverage sequencing of an Indica x Japonica rice F2 bi-parental population (n = 222). The parents are IR64 (indica) and Azucena (tropical japonica). The genotypes were called with FreeBayes, using a SnakeMake pipeline.
Isotopic characterisation of waters and tree ring cellulose along the Rhône (2000-2010)

[Lien vers la fiche source] Individual isotopic data points from point samples of water sources (river water, soil water, groundwater), as well as those extracted from tree-ring cellulose over decadal time series from Fraxinus and Populus trees in Rhône floodplains at Pierre-Bénite, Péage-de-Roussillon, Donzère-Mondragon, Mas Thibert, over the period 2000-2010.
Source Water Isotope Identification Toolkit (SWIIT) for detecting historical water use by forest trees in Mediterranean climates (2016)

[Lien vers la fiche source] A toolkit was developed for retrospective analysis of source waters to riparian trees. It was used to assess the variability of water source utilization at different temporal resolutions (subannual and annual) for species with contrasting rooting depths, and investigate the variation of water source utilization across a strong hydroclimatic gradient along the Rhône River.
Evaluation des polluants organiques présents dans les sédiments de casiers Girardon du Rhône (2018)

[Lien vers la fiche source] Secteur de Peyraud sur le Vieux Rhône de Péage-de-Roussillon (PK 61.5) permettant de cibler des marges fluviatiles (casier Girardon, lônes) où une caractérisation de la subsurface a été réalisée d’un point de vue ETM et physique (structure sur profil géophysique, granulométrie, susceptibilité magnétique). Les sites ont été caractérisés pour des polluants organiques (PCCD/F, PCBs, RFBs), des valeurs agronomiques et des éléments nécessaires à la compréhension des phases porteuses des polluants (teneur en COT, N, P, CEC).
R script and replication data for: A simple and practical method to increase the infectivity of wild isolates of Plasmodium falciparum to mosquito vectors

[Lien vers la fiche source] Populations of the most important human malaria vectors in Africa offer instances of ongoing adaptations to new ecological niches set by human actions in the context of global change, with the dramatic consequence of emerging and re-emerging sustained malaria transmission in new spaces and times. Hence, patent adaptations to permanent irrigated schemes, urban settlements and wide insecticides use lead to the conspicuous extension of the repartition area of Anopheles species, and set the scene for the emergence or re-emergence of sustained malaria transmission. Physiological mechanisms allowing malaria mosquitoes to colonize new human-made ecological niches are under scrutiny, however, less attention is given to behavioral modifications triggered by -or in response to-relevant environmental cues characterizing the new ecological niches. A simple, field applicable method is presented for improving parasite infectivity by concentrating Plasmodium falciparum gametocytes. Anopheles gambiae received one of the following 5 blood treatments through DMFA: (i) whole blood (WB) samples from naturally-infected donors; (ii) donor blood whose plasma was replaced with the same volume of malaria-naive AB+ serum (1:1 control); (iii) plasma replaced with a volume of malaria-naïve AB+ serum equivalent to half (2:1), or to a quarter (4:1), of the initial plasma volume; and (v) donor blood whose plasma was fully removed (RBC). The experiment was repeated 4 times using 4 distinct wild parasite isolates. Seven days post-infection, a total of 1 095 midguts were examined for oocyst presence. This is an R script to replicate the analyses from the article entitled "A simple and practical method to increase the infectivity of wild isolates of Plasmodium falciparum to mosquito vectors" by Seydou Bienvenu Ouattara, Domonbabele F. D. S. Hien, Ekôbié T. Nao, Anna Cohuet, Isabelle Morlais, Rakiswendé Serge Yerbanga, Rock Kounbobr Dabiré, Jean Bosco Ouédraogo, Karine Mouline and Thierry Lefèvre Code developed by Bienvenu Seydou Ouattara and Thierry Lefevre: seydoubienvenu@yahoo.fr; thierry.lefevre@ird.fr
MOOSE_GE cruises: phytoplankton pigments

[Lien vers la fiche source] The MOOSE-GE cruises aim to provide an annual summer snapshot of the North-Western Mediterranean Sea basin, to observe changes in water mass properties, biogeochemical content and changes in planktonic biodiversity. These cruises are part of the national MOOSE program (Mediterranean Ocean Observing System for the Environment) funded by CNRS-INSU and the Research Infrastructure ILICO (French Ministry). Each year, samples are analyzed for phytoplankton pigments by the national analytical service, SAPIGH. The SAPIGH platform (based at IMEV, Villefranche/Mer) is certified by INSU-CNRS. It is dedicated to HPLC (High Performance Liquid Chromatography) measurement of phytoplankton pigments (chlorophylls and carotenoids) in the marine environment (https://lov.imev-mer.fr/web/facilities/sapigh/).
NDP SPM Grid Group Polygons

The "NDP SPM Grid Group Polygons" data table provides the geographic areas supplied by the primary substations, grid groups and GSPs in SPM. The table gives the following information: 1. Geo point for each substation 2. Geo shape for each substation 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 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 Network Development Plan dataset. To access our full suite of Data Triage documentation, visit [the SP Energy Networks Data & Information page]. [Download dataset metadata (JSON)]
NDP SPM Primary Group Polygons

The "NDP SPM Primary Group Polygons" data table provides the geographic areas supplied by the primary substations, grid groups and GSPs in SPM. The table gives the following information: 1. Geo point for each primary group 2. Geo shape for each primary group 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 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 Network Development Plan dataset. To access our full suite of Data Triage documentation, visit [the SP Energy Networks Data & Information page]. [Download dataset metadata (JSON)]
La nomenclature des familles professionnelles 2021

### Données Les familles professionnelles (FAP) sont une des principales nomenclatures de métiers. Elle résulte alors d’un rapprochement entre deux nomenclatures : * celle des [professions et catégories socioprofessionnelles (PCS)], utilisée par l’institut national des statistiques et des études économiques (Insee) dans les différentes sources sur l’emploi pour codifier les professions ; * celle du [répertoire opérationnel des métiers et des emplois (Rome)], utilisée par Pôle emploi pour coder les postes recherchés par les demandeurs d'emploi ainsi que les offres déposées par les entreprises, dans une logique opérationnelle de placement. Alors que la PCS établit une hiérarchie sociale entre les métiers, le Rome constitue davantage un répertoire des postes. Les FAP regroupent les professions qui font appel à des compétences communes sur la base de « gestes professionnels » proches. Cette nomenclature offre une grille de lecture des métiers qui permet d’analyser les données du marché du travail provenant de différentes sources et ainsi faciliter la compréhension du fonctionnement du marché du travail. La nomenclature PCS connaît une importante refonte en 2020, qui implique à la fois des changements structurels sur la nomenclature et des changements profonds du processus de collecte. La nomenclature des familles professionnelles doit ainsi s’adapter. Plus d'informations [sur notre site internet]
Property tie lines

Property tie lines are graphical indicators that two or more lots are being treated by the BC Assessment Authority as one large parcel (these lots will have the same owner and share one assessment roll number). Property tie lines is one dataset among many that provide information about property. Other related datasets can be found by [ filtering on the property keyword]. ### Data currency This data in City systems is updated frequently in the normal course of business, however priorities and resources determine how fast a change in reality is reflected in the database. The extract on this website is updated weekly. ### Data accuracy Much of the City's land base is created using survey accuracy however some features are not as precise.
Traces géophysiques (GPR) dans les annexes fluviatiles et les retenues de barrages du Rhône (2015-2022)

[Lien vers la fiche source] Tracés des profils géophysiques réalisés à l'aide du ground penetrating radar (GPR) sur 11 annexes fluviatiles et retenues de barrages du Rhône entre 2015 et 2022 (ARS - Arras, BEA - Beaucaire, BLN - Baix-le-Logis-Neuf, BRE - Ile du Beurre, DZM - Donzère-Mondragon, JON - Jons, MTE - La Morte, PBN - Pierre-Bénite, PDR - Péage-de-Roussillon, PCC - Mötz-Chautagne, SLB - Sault-Brénaz). Le but de ces relevés est d'évaluer l'épaisseur des différentes couches sédimentaires dans les premiers mètres sous la surface (profondeur max = 5 m) notamment afin de localiser des zones de carottage représentatives de l'environnement de dépôt.
Number of arthropods found in plantain plots associated with usual crops in Njombé, Littoral Region, Cameroun in 2017. Replication data for "Effects of 12 crops associated with plantain on arthropods trophic groups and Cosmopolites sordidus abundance".

[Lien vers la fiche source] Excel file including description (plant traits and agricultural practices) of 12 crops associated with plantain and the abundance of detritivores, herbivores, omnivores, predators and C. sordidus for each crop association. The objective of the study was to assess the effect of associated crops on weevils regulation in plantain fields. Arthropods were trapped in yellow pitfalls in an experimental plot.
Supplemental dataset used for transcriptomic analysis of HrpG* regulon in 17 Xanthomonas strains

[Lien vers la fiche source] This dataset includes generated genome annotation for the 17 strains as Data S1, and comparative statistics and orthogroup analyses for these genomes, performed using OrthoFinder, as Data S2. R scripts utilized for analyzing the data, are stored in a code repository in Data S5. Comparative statistics and orthogroup information for 675 publicly available Xanthomonas genomes which include a type T3SS are detailed in Data S6, along with their respective genome accession numbers. Raw DESeq2 results and MultiQCs of read mapping, PCA, MA and Volcano plots are available in Data S3. Finally, information on the coverage of hrpG*/hrpG transcript reads against the endogenous hrpG gene is available id Data S4.
Historic Geomac Perimeters, All Years, 2000-2018

This geospatial dataset contains wildfire perimeters from 2000 - 2018 derived from the GeoMAC application. The Geospatial Multi-Agency Coordination Group, or GeoMAC, is an internet-based mapping tool originally designed for fire managers to access online maps of current fire locations and perimeters in the US. Perimeters are submitted to GeoMAC by field offices. The GeoMAC team attributes the perimeters using various sources, and then posts them on the GeoMAC website and to an HTTP site for downloading. This file contains all the latest fire perimeters that were processed by the GeoMAC team between 2000 and 2018. The projection is geographic and the datum is NAD83. Formerly known as: Historical WildFire Perimeters.
National Transit Map Agencies

The National Transit Map - Agencies dataset was compiled on January 13, 2024 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The National Transit Map (NTM) is a nationwide catalog of fixed-guideway and fixed-route transit service in America. It is compiled using General Transit Feed Specification (GTFS) Schedule data. The GTFS Schedule documentation is available at, [https://gtfs.org/schedule/]. The NTM Agencies dataset represents the physical addresses of participating transit agencies. Regarding data coverage and licenses, starting in Report Year 2023, the Federal Transit Administration (FTA) has required National Transit Database (NTD) Reporters to submit General Transit Feed Specification (GTFS) data. Reporters will submit GTFS during their reporting period, which is determined by their fiscal year end date. All GTFS data submitted to the NTD will enter the public domain. Prior to the GTFS requirement, transit agencies voluntarily participated in the NTM and granted the U.S. Department of Transportation (USDOT) a Creative Commons Attribution 3.0 United States (CC-BY-3.0) license. The CC-BY-3.0 license is available at, [https://creativecommons.org/licenses/by/3.0/us/legalcode]. POC: [NationalTransitMap@dot.gov]
Les nominations équilibrées dans les emplois supérieurs

> Les collectivités territoriales doivent respecter un principe de mixité dans les nominations aux emplois fonctionnels. > > En application de l'article L.132-5 du code général de la fonction publique, les régions, les départements, les établissements publics de coopération intercommunale, les communes de plus de 40 000 habitants, doivent nommer au moins 40% de personnes de chaque sexe dans leurs emplois fonctionnels de direction ainsi que ceux d'experts de haut niveau et de directeur de projet. > Cette obligation de nominations équilibrées s'apprécie sur la base d'un cycle de 4 primo-nominations, sur la seule durée du mandat de l'exécutif local. > Une contribution forfaitaire sera due si le quota de 40% n'est pas respecté tant pour le flux (un cycle achevé de primo-nominations) que pour le stock (le nombre d'emplois fonctionnels au décembre de l'année considérée). > > Références * Article 3 de la loi n°2023-623 du 19 juillet 2023, * Décret n°2012-601 du 30 avril 2012 modifié relatif aux modalités de nominations équilibrées; * Décret n°2022 du 21 janvier 2022
National Solar Radiation Database (NSRDB)

The National Solar Radiation Database (NSRDB) is a serially complete collection of meteorological and solar irradiance data sets for the United States and a growing list of international locations for 1998-2017. The NSRDB provides foundational information to support U.S. Department of Energy programs, research, and the general public. The NSRDB provides time-series data at 30 minute resolution of resource averaged over surface cells of 0.038 degrees in both latitude and longitude, or nominally 4 km in size. The solar radiation values represent the resource available to solar energy systems. The data was created using cloud properties which are generated using the AVHRR Pathfinder Atmospheres-Extended (PATMOS-x) algorithms developed by the University of Wisconsin. Fast all-sky radiation model for solar applications (FARMS) in conjunction with the cloud properties, and aerosol optical depth (AOD) and precipitable water vapor (PWV) from ancillary source are used to estimate solar irradiance (GHI, DNI, and DHI). The Global Horizontal Irradiance (GHI) is computed for clear skies using the REST2 model. For cloud scenes identified by the cloud mask, FARMS is used to compute GHI. The Direct Normal Irradiance (DNI) for cloud scenes is then computed using NLR's DISC model (uses empirical relationships between the global and direct clearness indices to estimate the direct beam component of irradiance). The PATMOS-X model uses half-hourly radiance images in visible and infrared channels from the Geostationary Operational Environmental Satellite (GOES) series of geostationary weather satellites. Ancillary variables needed to run REST2 and FARMS (e.g., aerosol optical depth, precipitable water vapor, and albedo) are derived from NASA's Modern Era-Retrospective Analysis (MERRA-2) dataset. Temperature and wind speed data are also derived from MERRA-2 and provided for use in NLR's System Advisor Model (SAM) to compute PV generation.
Data for the article "Trait-environment relationships depend on species life history" (Delalandre et al., Journal of Vegetation Science, 2023)

[Lien vers la fiche source] This dataset contains data used for the article "Trait-environment relationships depend on species life history" (Delalandre et al., Journal of Vegetation Science, 2023). The corresponding R scripts can be found on GitHub: https://github.com/LDelalandre/DelalandreJVS2023 (2023-10-09)
Genotypic and phenotypic data of ancestral and descendant populations of Viola arvensis in four location of the Parisian region

[Lien vers la fiche source] This dataset was obtain while genotyping using microsatellites and phenotyping ancestral and descendant populations of four locations of the field pansy (Viola arvensis). Ancestral populations was obtained from seedbanks and were collected in the field in 90's-2000's and descendant were collected in the field in 2021. A first generation was grown in common garden in 2021 and genotyped (genotypes.csv). Using mother from the first generation, a second generation composed of families of 5 siblings was grown in controlled greenhouses in 2022. We phenotyped this second generation (vegetative_traits.csv, floral_traits.csv, floral_display.csv, nectar.csv, seeds.csv, visit_pollinators.csv). Measurements were made following the methods described in this paper https://doi.org/10.1111/nph.19422.
Data on riparian plant communities on gravel bars in the Rhône, Drôme and Ain rivers

[Lien vers la fiche source] Data were collected in five river reaches: unregulated reach with active bedload transport (Drôme River, DRM), regulated reach with active bedload transport (Ain River, AIN), regulated reach with stabilized baseflow and active bedload transport (Rhône River, Miribel-Jonage bypassed reach, MRJ), regulated reach with stabilized baseflow and inactive bedload transport, with riparian vegetation management by brush clearing (Rhône River, Pierre-Bénite bypassed reach, PBN) or plowing (Rhône River, Donzère-Mondragon bypassed reach, DZM). For each river reach, two gravel bars were sampled during the summers of 2017 and 2018. On each gravel bar, the vegetation was surveyed within twelve 5 x 5 m quadrats (25 m²) positioned along three transects (four quadrats per transect) oriented perpendicularly to the river.
Point numérique - CC Grand Chambord

Le jeu de données répertorie les divers points numériques présents sur le territoire de la Communauté de Communes du Grand Chambord. Ces points numériques peuvent englober des emplacements équipés de technologies spécifiques, tels que des bornes Wi-Fi, des stations de recharge pour dispositifs électroniques, des cybercafés, ou d'autres infrastructures numériques destinées à la population locale. Enrichissement L'enrichissement du jeu de données est encouragé, et les structures intéressées à ajouter leurs informations sont invitées à nous contacter : [conseillernumerique@grandchambord.fr]. Questions Pour toute demande de modification ou pour obtenir des informations supplémentaires, il est recommandé de contacter le conseiller numérique de la Communauté de Communes du Grand Chambord à l'adresse suivante : [conseillernumerique@grandchambord.fr]. Cette démarche vise à assurer la précision et l'actualisation continue du jeu de données, tout en favorisant la collaboration entre les acteurs locaux et les services numériques disponibles sur le territoire.
Espaces, sites et itinéraires de pratiques inscrits au Plan Départemental (PDESI)

Espaces, sites et itinéraires de pratiques inscrits au Plan Départemental (PDESI). La loi 2000-627 du 6 juillet 2000 a confié aux départements la compétence du développement maîtrisé des sports de nature sur leur territoire en leur permettant d’agir grâce à un outil, le « Plan Départemental des Espaces, Sites et Itinéraires relatifs aux sports de nature (PDESI) », dont la finalité est d’identifier, de valoriser et de pérenniser des sites de pratique dans le respect du droit de la propriété privée et de la protection de l’environnement. La conciliation avec les autres usages des espaces naturels est au coeur de la démarche PDESI. Les espaces, sites et itinéraires (ESI) inscrits au PDESI ou en cours d’instruction sont ici représentés. Un ESI est identifié par un numéro métier unique. Il peut comporter des composantes géographiques de nature différentes (points, lignes ou polygones), et peut donc être présent dans les différentes couches. Pour exemple, l’ESI n° 1539 Grotte de Julio et composé de : * plusieurs ponctuels (sites) matérialisant le parking et les entrées * 2 lignes (itinéraires) matérialisant les voies d’accès du parking aux entrées.