AndreaBozzo/ceres-open-data-index huggingface dataset:
Identification and Abundance of Barkley Canyon Megafauna: Daily Observations from 2012 to 2015 Using Ocean Network Canada Videos (BC, Canada)

[Lien vers la fiche source] This dataset provides comprehensive records of species identified and their daily abundance in three deep-sites (Upper Slope -400m, Wall -900m, and Axis -1000m) of the Barkley Canyon (British Columbia, Canada) from 2012 to 2015. The data was collected through video recordings from the Ocean Network Canada observatory, which are publicly accessible using their SeaTube website. The dataset includes: - a detailed list of species = "species_list_match.csv" - a corresponding table of species names = "Species_details.csv" - daily abundance counts for each sites = "Abundance_SiteName.csv" - a file that outlines the methodology used for identification and counting = "ReadMe.txt" ---------- Method: - During each daily sampling, all 5-minute recordings made between 08:00 and 08:05 were viewed using VLC 2.0.1 © software to count and identify individuals at the lowest possible taxonomic level. All videos (2 minutes fixed + 3 minutes of scanning) were utilized. Videos were deemed unusable if viewing conditions were poor or particle counts were too high. When identification was not feasible, OTUs were defined. On the three sites mentioned, a camera mounted on a tripod recorded continuously at 5-minute intervals each day of the year. During these recordings, the background was illuminated using two spotlights. The camera recorded fixedly for the initial two minutes and could rotate from 0° (stationary, upper slope, pod2) to 360° (full rotation, canyon axis pod1, except between August 2014 and January 2015) and 180° (canyon wall, pod4). The illumination and zoom parameters, adjustable via the ONC site, were not consistent across all sites and sampling periods, affecting the observed surface area, ranging from 0.5 m² (upper slope, pod2 between May 2013 and May 2014) to a maximum of 9 m² (canyon axis, pod1 between mid-2013 and February 2014). The surface area was calculated each time the camera settings were changed (usually during annual maintenance missions) using a scaling grid developed from the camera’s two lasers, fixing a width of 10 cm on the ground as measured in the camera's field of view. Image captures were taken at intervals to cover the entire surface swept by the camera during rotation, estimating the sampled surface by overlaying the scaling grid on each image. - For more details on the methodology and to understand the context in which the data were collected (scientific questions, hypotheses, and studies conducted), you can refer to Pauline Chauvet's thesis (available in open access).
Répertoire des représentants d'intérêts en Haute-Garonne (source HATVP)

Ce jeu de données propose le répertoire des Représentants d'intérêts (lobbyistes) déclarés dans le département de la Haute-Garonne. La source de ces données, partagée en Open Data, provient du [site Internet de la Haute autorité pour la transparence de la vie publique] (HATVP). Nous n'avons conservé que les données relatives aux représentants d'intérêts localisés dans le département de la Haute-Garonne en utilisant l'indicateur "code_postal" disponible dans les fichiers partagés par la HATVP, fichiers téléchargés et traités le 16 juillet 2024. Contexte : depuis le 1er juillet 2017, les acteurs socio-économiques qui exercent des actions d’influence sur les responsables publics sont tenus de s’inscrire sur le répertoire numérique des représentants d’intérêts géré par la Haute Autorité pour la transparence de la vie publique (HATVP). Ce répertoire vise à fournir une information aux citoyens sur les représentants d’intérêts et sur leurs relations avec les responsables publics lorsque sont prises des décisions publiques. L’objectif est de mieux connaître et de mesurer l’impact des représentants d'intérêts sur le processus normatif, autrement dit de « savoir qui influence la loi ». Il est ainsi possible de consulter en open data une série d’informations permettant de connaître l’identité des représentants d’intérêts inscrits au répertoire, leurs actions de représentation d’intérêts (ou "lobbying") ainsi que les moyens consacrés à ces actions. Ces informations doivent être déclarées chaque année par les représentants d’intérêts.
Méthodologie OFGL - Historique des groupements à fiscalité propre - périmètre 2024

### Présentation du jeu de données : Ce jeu de données retrace le rattachement des groupements à fiscalité propre (GFP) ayant existé entre 2012 et 2024 à un GFP 2024. La méthode de rattachement a été définie par l'OFGL et des membres de son Comité Scientifique et Technique. Elle rattache un GFP N-1 à un GFP N si plus de 60% de sa population se retrouve dans le GFP N (ou en cas de maintien du code SIREN N-1). Les GFP n'ayant pas pu être rattachés à un autre lors de leur transformation (non respect de la règle énoncée) sont aussi présentés dans le jeu de données : pour ces GFP, la variable "Code Siren 2024 collectivité" (siren_24) est donc vide. Pour un GFP 2024 donné, vous pouvez retrouver simplement la liste des GFP rattachés à son historique chaque année, dans le [module méthodologique] dédié.
High quality food bacterial genomic ressources from fermented vegetables

[Lien vers la fiche source] This dataset is associated with a collection of 39 complete bacterial genomes (157 replicons in total) of high sequencing quality and submitted in May 2024 to European Nucleotide Archive (ENA). These strains belong predominantly to homo- and hetero-lactic acid bacteria pivotal in the fermentation process of various vegetables, although other taxa (e.g. Hafnia, Rahnella, Bacillus, Enterococcus and Pseudomonas) were also considered. This dataset also includes the production of genomes for lactic acid bacteria species that have rarely been sequenced, such as Levilactobacillus cerevisiae, Levilactobacillus yonginensis or Pediococcus parvulus. The strains demonstrated optimal growth performance during vegetable fermentation and their genome was sequenced using a combination of third generation long-reads ONT and short-reads Illumina technologies. These bacterial ressources and associated genomic data were characterized during the Agence Nationale de la Recherche (ANR) Metasimfood project (https://www.metasimfood.inrae.fr/) and are subsequently made publicly available for academic research purpose on fermented foods. These strains will be used in the frame of ANR metasimfood project, as core microbial ressources for the design of microbial consortia for pant-based fermented foods. The various files of the dataset summarize either genomic data (metasimfood_genomic_data.csv) such as accession numbers, size of replicons, sequencing coverage; or metadata associated with the strains (metasimfood_metadata_strains.csv) such as isolation sources, availibility, owner's contac. Specific genomic features detection such as prophages and plasmid (metasimfood_provirus_summary.csv; metasimfood_provirus-results.csv; metasimfood_plasmid_results.csv) are also available.
GWAS on fruit quality traits using INRAE sweet cherry (P. avium) germplasm collection

[Lien vers la fiche source] This project aimed at conducting a GWAS for fruit quality traits, in a germplasm collection of sweet cherry accessions genotyped using the GBS approach. Specifically, the main objectives of this study are to: (i) examine the existing variability of 23 fruit quality traits within a sample of 116 genotypes of sweet cherry, (ii) identify genome-wide SNP markers associated with these traits by GWAS using three reference genomes and two mixed linear models, (iii) investigate the putative functions, based on searches for orthologs, of the candidate genes associated with these SNPs.
Aphid adaptation to cucurbits: sugars, cucurbitacin and phloem structure in resistant and susceptible melons

[Lien vers la fiche source] Dataset of the publication Sadon et al, 2022, "Aphid adaptation to cucurbits: sugars, cucurbitacin and phloem structure in resistant and susceptible melons. " Abundance and variability of phloem-associated metabolites in six melon genotypes. We quantified seven phloem-associated metabolites in the parental lines and the pairs of isogenic and near-isogenic lines.
Simulated daily water oxygen time series data (full water profile) for lake Geneva over the period 1850-2100, based on IPCC ssp126, ssp370 and ssp585 scenarios.

[Lien vers la fiche source] This repository includes the setup and output from model simulations performed using the 1D deterministic GLM-AED2 model on Lake Geneva to investigate long-term variations of dissolved oxygen and hypoxia regime in the lake over the period 1850–2100. Both GLM and AED2 models are open-source and publicly available: GLM model: https://github.com/AquaticEcoDynamics/glm-aed AED2 model: https://aquaticecodynamics.github.io/aed-science/ The model is constrained by IPCC scenarios SSP1-RCP2.6, SSP3-RCP7.0, and SSP5-RCP8.5 (https://data.isimip.org) and validated according to 63 years of observation data collected and stored by the Lake Observatory OLA (https://si-ola.inra.fr). The model configuration files (glm.nml, aed2.nml, aed2_phyto_pars.nml) are provided. Complete data description and method information are provided in Soares et al. (under review). Outputs represent the daily time series of dissolved oxygen concentration profiles in Lake Geneva over the historical period (1850–2020) and future projections (2021–2100) for the three scenarios.
Transmission Availability Data System (TADS)

On October 23, 2007, the NERC Board of Trustees (Board) approved the collection of the Phase I TADS data, beginning in calendar year 2008. On October 29, 2008, the Board approved the collection of Phase II TADS Non-Automatic Outage Data, beginning in 2010. TAD collects transmission outage data in a common format for: * * Bulk Electric System AC Circuits (Overhead and Underground) * Transmission Transformers (No Generator Step-up Units) * Bulk Electric System AC/DC Back-to-Back Converters * Bulk Electric System DC Circuits
Global marine heat waves: frequency, classification and distribution from 1996-2020

[Lien vers la fiche source] This dataset comprises the global frequency, classification and distribution of marine heat waves (MHWs) from 1996-2020, in Chauhan et al. 2023 (https://doi.org/10.3389/fmars.2023.1177571). The classification was done based on their attributes and using different baselines. Daily SST values were extracted from the NOAA-OISST v2 high-resolution (0.25°) dataset from 1982-2020. MHWs were detected using the method presented by Hobday et al. 2016 (https://doi.org/10.1016/j.pocean.2015.12.014), and by using the 95th percentile of the accumulated temperature distribution to flag the extreme events. A shifting baseline of 8-year rolling period was selected between the years 1982-1996, since this period shows relatively stable maximum values of temperature across different ocean regions. The shifting baseline aims to account for the decadal changes of westerly winds, temperatures and ocean gyres circulations. The classification was done using the KMeans clustering algorithm to identify the relevant features of MHWs and classify them into separate groups based on feature similarities. This algorithm takes MHW features, namely duration, maximum intensity, rate onset and rate decline, as input vectors and applies clustering in the 4-dimensional feature space where each data point represents an MHW event. Note that all the MHWs features are standardized because unequal variances can put more weight on variables with smaller variances. This record comprehends the geospatial datasets of: Average number of MHW days per year (i.e., the sum of all MHW days divided by the total number of years, 1996-2020). Average cumulative intensity per year (i.e., the sum of cumulative intensity divided by the total number of years, 1996-2020). Total number of MHW events across the different periods averaged on the total number of years (1989-2020). The period 1982-1988 was only used as an initial baseline without calculating MHWs. Spatial distribution of three MHW categories: moderate MHWs, abrupt and Intense MHWs and extreme MHWs; displaying the total number of MHW days normalized by the number of years considered (i.e., 1989-2020). Distribution of Extreme MHWs across the different periods (A) 1989-1996, (B) 1997-2004, (C) 2005-2012, (D) 2013-2020. The relative frequency (γ) is a ratio of extreme MHWs in a specific period and all extreme MHWs in the same cluster for all periods.
Origine géographique des titulaires de marchés 2018-2023

Ce jeu de données permet de retracer l’origine géographique des titulaires, cela revient à faire correspondre les données des marchés (objet, montant, durée, procédure…) avec le code postal de la structure titulaire (ou du mandataire en cas de cotraitance) pour la période 2018-2023. Informations complémentaires quant aux données : • Procédure - MAPA 0 : de 0 à 4000 €HT - MAPA1 : 4 000 à 25 000 € HT - MAPA2 : 25 000 à 90 000 € HT - MAPA3 : 90 000 à 214 000 € HT - MAPA4 : 214 000 à 5 350 000 € HT pour les travaux - Marchés formalisés : Au-delà de 214 000 € HT hors travaux ou au-delà de 5 350 000 €HT pour les travaux La mention « autre procédure » peut désigner les procédures concurrentielles avec négociation, les marchés passés sans publicité ni mise en concurrence préalable, les concours de maitrise d’œuvre et les marchés à procédure adaptée ayant pour objet des services sociaux et autres services spécifiques. • Montant : les montants renseignés correspondent aux montants réalisés nets • Marchés multi-attributaires et montant : en cas de marché multi-attributaires, le montant indiqué correspondant au montant total du marché tous attributaires confondus et non à la part bénéficiant à l’attributaire isolé.
Energy Architecture Performance Index

Explore the Energy Architecture Performance Index dataset to access information on ETI Score, System Performance, and Transition Readiness in the energy sector. Analyze data related to Spain, Kenya, Bosnia and Herzegovina, Italy, and many more countries. ETI Score, System Performance, Transition Readiness, Energy Spain, Kenya, Bosnia and Herzegovina, Italy, El Salvador, Bulgaria, Argentina, Slovenia, Benin, Kyrgyz Republic, United Arab Emirates, Ethiopia, Korea, Rep., Luxembourg, Namibia, India, Tajikistan, Switzerland, Qatar, Indonesia, Finland, Costa Rica, Slovak Republic, Singapore, Netherlands, Japan, Belgium, Australia, Denmark, Mongolia, Ukraine, Latvia, Vietnam, Haiti, Panama, Nicaragua, Guatemala, Azerbaijan, Zimbabwe, Bolivia, Mexico, Peru, Trinidad and Tobago, Egypt, Arab Rep., Oman, Mozambique, Albania, New Zealand, Cameroon, Germany, Bangladesh, Romania, Portugal, Uruguay, France, Tanzania, Colombia, Honduras, Tunisia, Nepal, Brunei Darussalam, United States, Canada, Lebanon, Republic of Moldova, Malta, Thailand, Russian Federation, Malaysia, Iran, Islamic Rep., Norway, Czech Republic, Dominican Republic, Jordan, Nigeria, Lithuania, Estonia, Venezuela, Cambodia, Kuwait, Bahrain, Ghana, Jamaica, Ecuador, Brazil, Chile, Pakistan, United Kingdom, Poland, Sweden, Iceland, Armenia, Montenegro, Paraguay, Georgia, Hungary, Zambia, Croatia, Algeria, China, Sri Lanka, Greece, Botswana, Philippines, Saudi Arabia, South Africa, Serbia, Cyprus, Ireland, Israel, Kazakhstan, Morocco, Senegal, Austria, Turkey, World Follow [data.kapsarc.org] for timely data to advance energy economics research.
CADO airplane database

[Lien vers la fiche source] This database contains data of nearly 230 airplanes. Each airplane is described by 31 parameters such as: name, IATA code and category (general, commuter, regional, short-medium, long range), geometry, mass, max speed, typical cruise mach number, typical range, typical approach speed, take-off field length, landing field length, number of engine, type of engine, typical engine model, bypass ratio, max thrust or max power. This database relies on various sources such as the manufacturer website, flight manual (if available), books, Eurocontrol aircraft performances. This data are NOT intended to be used in an operational context. They were gathered in order to provide orders of magnitude and find trends between various parameters in a preliminary aircraft design context. Please consider citing the following publication if you reuse this dataset.
Data for "Prey Switching and Natural Pest Control Potential of Carabid Communities over the Winter Wheat Cropping Season"

[Lien vers la fiche source] This repository includes carabids' molecular gut content data, taxonomy data and prey abundance data that were used for the statistical analysis in the article "Prey Switching and Natural Pest Control Potential of Carabid Communities over the Winter Wheat Cropping Season" from Sacco--Martret de Préville et al. 2024 in Insects. This repository includes: 1) Data_ARENA2: data obtained from the molecular gut content analysis of carabids by Multiplex PCR. 2) CarabidFunctionalTraits: taxonomy and functional traits of carabid species, obtained from Carabids.org and personal experiments. 3) Prey_Abundance: partial abundance data in fields of three tested prey during the molecular analysis (aphids, slugs, spiders). 4) ARENA_Rmarkdown: a document containing and commenting on the R script of the statistical analysis produced for the article.
Minimal needed resistive forces data, corrective forces data and abaci in rectilinear motion for different combinations of wheels and resilient floor coverings.

[Lien vers la fiche source] These data are the minimal resistive forces and the correctives forces for different types of wheel in rectilinear motion on various floors. 44 different wheels were tested, varying diameter (80mm, 100mm, 160mm and 200mm), tread (solid rubber, elastic-tyre, thermoplastic rubber, synthetic rubber, injected polyurethane, casted polyurethane and polyamide) and bearing (sleeve bearing, cone ball bearing and precision ball bearing). 5 differents floors were tested: a flat, smooth and horizontal steel plate and 4 resilient floor coverings (3 PVC multilayer floor coverings and 1 monolayer rubber floor covering). The resistive forces were obtained at steady state (where acceleration is zero for a constant velocity was 2,5km/h, i.e. at uniform rectilinear motion) using an original motorised test bench. Forces were measured with a six-axis force sensor. The tests were carried out, for each wheel and flooring for 5different loads: (13kg, 24kg, 37kg, 49kg and 62 kg). Average forces were then calculated from 3 round-trips. Combining these results with a mechanical model of a cart, permits to modelize the minimal pushing force to move it. The corrective forces, defined like being the difference between the resistive forces (obtained for a given couple wheel/floor on a floor covering) and the resistive forces (obtained for the same couple on the flat, smooth and horizontal steel plate), were deducted from the resistive forces results. Corrective forces abacus are the average corrective forces, for a specific tread and wheel bearing, in function of base foam hardness A/15 of floor covering, and for various loads carried by the wheel. The combination of the datas of the corrective forces abacus and of a pushing force’s model permits to evaluate the corresponding effort on floor coverings, knowing the pushing force of a four wheels manual handling equipment obtained when it moves on a steel plate. All the abaci are given (.csv files and image in .jpeg). An example of a trial for measuring resisitve forces with the test bench is shown by a short movie.
Jeux Olympiques 2024 : communes labellisées Terre de Jeux en Haute-Garonne

Ce jeu de données propose la liste des communes labellisées Terre de Jeux 2024 dans le département de la Haute-Garonne. Être labellisé [Terre de Jeux 2024] permet aux collectivités territoriales et aux structures du mouvement sportif d’accéder à plusieurs opportunités, tout au long de l’Olympiade, jusqu’en 2024. Ce dispositif unique dans l’histoire des Jeux Olympiques valorise les collectivités territoriales qui œuvrent pour une pratique du sport plus développée et inclusive, de la commune à la région, en passant par les différents acteurs du mouvement sportif. Depuis septembre 2022, les clubs sportifs peuvent utiliser le label Terre de Jeux 2024 si leur fédération est labellisée. Il leur suffit de se rapprocher de leur fédération qui leur fera parvenir le kit de communication associé et utilisable par les clubs sportifs de la fédération. Les données originales proviennent du [portail Terre de Jeux 2024 qui permet de télécharger un fichier des communes labellisées en sélectionnant un nom de département]. Seules les données relatives au département de la Haute-Garonne ont été conservées. La dernière mise à jour de ce fichier date du 14 août 2024. Important : difficile pour l'instant de s'engager sur l'exactitude de ces données car un autre fichier, publié par le Ministère de la Culture, dont la dernière mise à jour date du 19 octobre 2022 ne recensait que 24 communes labellisées. Les dernières données en provenance du portail officiel Terre de Jeux 2024 en comptent 42, au 26 février 2024. Nous avons signalé aux équipes de data.gouv.fr (le 30 novembre 2023), qui relayent les données publiées par le Ministère de la Culture, cette différence sensible entre les données disponibles. Attendons leur réponse pour corriger les données si besoin.
Dataset and R script associated to the publication of Billaud and co-authors (2024) "Unveiling Pepper Immunity’s Robustness to Temperature Shifts: Insights for Empowering Future Crops"

[Lien vers la fiche source] The dataset contains raw data and the script associated to the publication of Billaud et al. (2024) "Unveiling Pepper Immunity’s Robustness to Temperature Shifts: Insights for Empowering Future Crops" published by William BILLAUD, Judith HIRSCH, Valentin RIBAUT, Lucie TAMISIER, Anne MASSIRE, Marion SZADKOWSKI, Félicie LOPEZ-LAURI, Benoît MOURY, Véronique LEFEBVRE. This study aimed at proposing estimators of the robustness of immunity in pepper (Capsicum annuum L.). We examined robustness of the mean of immunity and robustness of the variation of immunity, as well as the deviation from the orthogonal regression (〖ODR〗_(S_i )) estimator, delivering a total of nine quantitative robustness estimators. We characterized the immunity of an INRAE core collection of accessions representative of pepper (Capsicum annuum L.) natural diversity, to two major pathogens, the oomycete Phytophthora capsici Leon. and potato virus Y. For each pathogen, the immunity of accessions was measured in two environments contrasted for temperature. The results showed that for each type of robustness and each pathogen, the impact of temperature change on immunity varied between accessions. The robustness estimators proved to be complementary and differed in terms of their heritability and ability to discriminate between accessions. A positive and significant correlation was observed between immunity and robustness. There was no significant relationship between the robustness of immunity to the two pathogens but some accessions showed both high immunity and high robustness against both pathogens. These results justified the need to consider both immunity and its robustness to environmental variations in order to select varieties adapted to current and future climate change. Robustness is also an important component of the value of sustainable cultivation and use, and should be considered when registering future varieties.