cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/vlyyfz
title: Datasets used in metaGE : Investigating genotype x environment interactions through GWAS meta-analysis (De Walsche et al.)

description: GWAS results used for the analysis of 4 multi-environment trials experiments data through metaGE meta-analysis: - The Arabidopsis dataset of Frachon et al. 2017, where GWAS analyses were performed on the local mapping population TOU-A, with a panel of 195 whole-genome sequenced accessions evaluated in six controlled micro-habitats (combinations of three soils × presence/absence of inter-specific competition, noted A to F). Each accession was genotyped at 981,278 SNPs (after quality control and a MAF threshold of 0.07) and phenotyped for bolting time. - The maize Amaizing-DROPS dataset of Millet et al. 2016, where GWAS analyses were performed on a panel of 244 maize dent lines evaluated as hybrids with a common parental line in 22 environments (combinations of location × year x treatment). Each line was genotyped at 602,356 SNPs (after quality control) and phenotyped for grain yield in the 22 environments. In addition, environmental variables were measured in each environment. - The multi-parental population maize EU-NAM Flint dataset of Bauer et al. 2013 and Lehermeier et al. 2014, which includes 11 biparental populations obtained from crosses between UH007 and 11 peripheral parents representative of the Northern Europe maize diversity. In each population, double haploid (DH) lines were produced and genotyped at 5,263 SNPs (after quality control). All populations were evaluated for biomass dry matter yield (DMY) in 4 locations. Three populations with less than 30 progenies were removed from the present analysis. GWAS analyses were performed on each combination of cross and location, resulting in 32 individual analysis. - The Wheat dataset of Robert et al. 2020, where GWAS analyses were performed on a panel of 210 wheat lines phenotyped for grain yield in 16 environments (combinations of location x year x treatment). Lines were genotyped at 108,410 SNPs (after quality control) and phenotyped for grain yield.
DOI: 10.57745/slukio
title: Horses discriminate human body odours between fear and joy contexts in a habituation-discrimination protocol.

description: Data and code associated with the paper "Horses discriminate human body odours between fear and joy contexts in a habituation-discrimination protocol" published in Scientific Reports - https://doi.org/10.1038/s41598-023-30119-8
DOI: 10.57745/umth34
title: MassiveFold data for target H1223 - T268

description: MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup can be found in `MassiveFold_CASP16_Abstract.pdf` - `README.txt` describes the contents of the main `MassiveFold.tar.gz` file - the main `MassiveFold.tar.gz file contains all the predictions, divided into 8 folders named after the conditions. It contains predictions as well as pickle files, sequence alignments, rankings and plots. The README.txt file describes the contents of this tar.gz. - the `only_pdbs_MassiveFold.tar.gz` is the result of the `gather_runs.py` script, without the pickle files. It contains a list of all the pdb files and ranking files with scores. - `gather_runs.py` allows to gather the runs, to use preferentially to the one included in the main `MassiveFold.tar.gz` at the time of the prediction phase, because it has been updated - `combined_scores.csv` file contains the CASP assessment for the target (from https://predictioncenter.org/) - `CAPRI_assessment.csv` file contains the CAPRI assessment for the target (from https://www.capri-docking.org/assessment/) - `CAPRI_scoring.pdb.gz` is a multi-pdbs containing all the MassiveFold predictions for the target. It was used for the CAPRI scoring phase.
DOI: 10.57745/vidjsw
title: Radioactivité de sources minérales naturelles du Puy de Dôme (2019-2021 / projet TIRAMISU de la ZATU)

description: La Zone Atelier Territoires Uranifères (ZATU) s’intéresse à des écosystèmes aquatiques de sources minérales présentant une radioactivité naturelle importante. Les données présentent les résultats de mesure de radionucléides (Thorium, Uranium, Radium, Polonium, Radon) dans les sources naturelles étudiées (eau et sédiment). Le territoire concerné correspond principalement au Puy de Dôme avec quelques données complémentaires d’autres départements auvergnat. Les mesures couvrent la période 2019-2021. Les laboratoires impliqués dans ces mesures sont le LPC (UMR 6533) à Clermont Ferrand, SUBATECH (UMR 6457) de Nantes et l’INC de Nice. Ces mesures ont été réalisées dans le cadre du projet TIRAMISU de la ZATU. Les techniques analytiques utilisées sont la spectrométrie gamma, la spectrométrie alpha et ICP-MS-HR.
DOI: 10.57745/ttioki
title: Harmonized disposable income dataset for Europe at subnational level

description: We present here a new dataset of per capita disposable income for 42 European countries (and more than 120,000 administrative units at the subnational level), over the 2010-2020 period (with few additional years for some countries). This dataset was created by harmonizing disparate income data (net earnings, gross income, disposable income, etc.) gathered from national statistical institutes across Europe. Disposable income was converted to constant 2015 EU27 PPP€ to adjust for the costs of living and inflation across countries and to allow comparability over time. Total population and a measure of income inequality (Gini index) are also provided for subnational administrative units. Users can download the aggregated dataset covering the whole years (Disposable_Inc_DB.gpkg) or yearly files.
DOI: 10.57745/vbcstd
title: Meloidogyne arenaria genome assembly

description: We first used guppy-v6.0.6 in super high-accuracy mode with a minimal quality score of 7 (--min_qscore 7) to base-call reads from the raw sequencing signal. Following QC, we used nanofilt (De Coster et al., 2018) to crop the 50 first and the 30 last nucleotides as these regions showed reduced per-base quality. We then selected reads that were at least 2kb long and had a quality score Q &gt; 12. This returned 10,506,836 cleaned reads for M. javanica. We assembled the genomes from ONT cleaned data using NECAT (Chen et al., 2021) with default parameters and an input genome size of 310Mb. We obtained 398 contigs with an assembly size of 305,105,593 bp and a N50 of 2,046,842. After the removal of the mitochondrial genome, we had a final assembly with 377 contigs
DOI: 10.57745/vtm1pn
title: Database of direct numerical simulations of Rayleigh-Taylor turbulence at low density contrast: 0D volume-averaged quantities

description: This database contains volume-averaged (0D) quantities representing 493 direct numerical simulations (DNS) of Rayleigh-Taylor turbulence at low density contrast. Each DNS is initialized with different initial conditions that describe the initial perturbed interface separating the two fluids. These have a simple form and can be fully characterized with only four non-dimensional numbers. The database was used to investigate the influence of the initial conditions on the development of the Rayleigh-Taylor instability and the subsequent turbulent mixing (see associated references). The simulations were performed at CEA/DAM/DIF using the code Stratospec on supercomputers. The spatial resolution is 1024² x 2048, elongated in the vertical direction, and the overall computational cost is roughly equivalent to 30 million CPU hours. The contents, simulations and quantities available in this database are described in details in the file "Documentation_RTB_database.pdf". Associated references: S. Thévenin, B.-J. Gréa, G. Kluth, and B. T. Nadiga, “Leveraging initial conditions memory for modelling Rayleigh–Taylor turbulence,” Journal of Fluid Mechanics, vol. 1009, p. A17, 2025. doi: 10.1017/jfm.2025.209. Associated preprint: https://arxiv.org/abs/2403.17832. S. Thévenin, "Contribution of machine learning to the modeling of turbulent mixing", PhD thesis, Université Paris-Saclay, 2024. URL: https://theses.fr/s299461.
DOI: 10.57745/vervnl
title: BAPPET - Base de données sur la contamination des plantes potagères par les éléments traces métalliques / An international litterature-based dataset on metallic trace element contamination in kitchen garden plants

description: La base de données BAPPET est relative au transfert d'éléments traces métalliques (ETM) dans les plantes potagères couramment cultivées dans les jardins potagers en Europe. Elle a été créée à partir de plus de 500 études scientifiques. Cette base contient des données sur les plantes (e.g. espèce, information sur la culture et la récolte, concentration en ETM), leur environnement, à savoir le sol, l'eau et l'air (e.g. concentration en ETM, paramètres agronomiques), ainsi que des informations sur le type d'expérimentation et le contexte de contamination.
DOI: 10.57745/vjzk3r
title: RPG complété 2020 Région Corse

description: RPG complété 2020. Complète le RPG campagne 2020 pour les départements de la région Corse (2A, 2B). (contient les parcelles agricoles hors RPG) Données géographiques (vectorielles, shapefile), parcellaires. Sources : IGN, OSO/Cesbio. Traitements : INRAE US ODR, 2022.
DOI: 10.57745/wij60k
title: Larix grafting experiments data

description: This dataset groups data from 3 experiments with larch (Larix sp) testing the respective influence of rootstock and scion on growth, wood properties and reproduction in homo-plastic and hetero-plastic grafting.
DOI: 10.57745/wkw8mr
title: Profiles

description: Dataset pair profiles
DOI: 10.57745/sp03o4
title: Abundance Estimates Dataset for Trout Parrs and Sea Trout in DiaPFC ORE Rivers

description: The Data Collection Framework (DCF) is a European-wide framework for collecting, managing, and using fisheries data to support scientific advice on the Common Fisheries Policy. As part of France’s national work plan, led by INRAE, mandatory data collection for sea trout has been in place since 2022. This monitoring includes stock assessments in rivers and during migrations. The goal is to improve abundance estimates of sea trout at different life stages (anadromous adults, smolts, juveniles) by standardizing estimation methods in small coastal rivers monitored by the ORE DiaPFC, particularly in the Basque Country (Nivelle) and Lower Normandy (Oir and Bresle). To achieve this, Bayesian hierarchical models are used to integrate various spatial and temporal data sources, facilitating the transfer of information between years with abundant and scarce data. Data collection relies on combined methods: smolt and adult trapping in index rivers (except for the Nivelle, where smolt monitoring is not possible) and electrofishing in September-October to assess the juvenile stock (except for the Bresle, where this monitoring is too recent). The estimates cover abundance at different life stages and associated uncertainties from the early 1980s to the present day, contributing to a better understanding of population dynamics and more effective stock management at both local and international scales
DOI: 10.57745/uhatou
title: Audio Recordings of Endangered Waterbirds : Analyzing the Impact of Environmental Noise on Bird Identification

description: This dataset contains audio recordings of songs from three endangered migratory waterbirds: the Ferruginous Duck (Aythya nyroca), the Common Pochard (Aythya ferina), and the White-headed Duck (Oxyura leucocephala). This dataset is designed to facilitate research on the impact of environmental noise on bird song recognition and classification. It can be used to develop and test algorithms for automatic bird song identification in noisy environments, which is crucial for monitoring and conservation efforts of these endangered species.
DOI: 10.57745/vhtm7a
title: Mapping between MEANS-InOut input data and LCI from reference database

description: This dataset is a mapping between MEANS-InOut input data and Life Cycle Inventories from reference databases (Agribalyse, ecoinvent). The MEANS-InOut input data are agricultural production system inputs (fertilisers, plant protection products, agricultural operations, livestock feed, ingredients to be incorporated into livestock feed, etc.). Each input is associated with one or more LCI, which represent(s) the impacts of the production of this input, and the database from which the LCI(s) is from. This version of the dataset corresponds to the following versions of the databases: Agribalyse v3.1.1 and ecoinvent v3.9. The correspondence file (named mapping_data.tab) is associated with : a document describing the input types in the MEANS-InOut software (file: Input_type_description.pdf), a document describing how the value of the input flow of a LCI for an agricultural system studied in MEANS-InOut is obtained from the value taken by this input in MEANS-InOut. (file: LCI_value_construction.pdf) Ce jeu de données établit la correspondance entre les référentiels de MEANS-InOut et des Inventaires de Cycle de Vie de base de données de référence (Agribalyse, ecoinvent). Les référentiels de MEANS-InOut sont des intrants des systèmes de production agricole (engrais, produits phytosanitaires, opérations agricoles, aliments du bétail, ingrédients à incorporer dans les aliments composés...). A chaque intrant est associé un ou plusieurs ICV, qui représentent les impacts de la production de cet intrant, et la base de données dont le ou les ICV sont issus. Cette version du jeu de données fait la correspondance avec les versions suivantes des bases de données : Agribalyse v3.1.1 et ecoinvent v3.9. Au fichier de correspondances (fichier : mapping_data.tab), sont associés : un document qui décrit les types d'intrants du logiciel MEANS-InOut (fichier : Input_type_description.pdf), un document qui décrit comment est obtenue la valeur du flux des intrants d'un ICV d'un système agricole étudié dans MEANS-InOut à partir de la valeur prise par cet un intrant dans MEANS-InOut. (fichier : LCI_value_construction.pdf)
DOI: 10.57745/vrlhc6
title: Electromagnetic and ultrasonic characteristics of concretes subjected to internal swelling reactions database

description: This database contains electrical, electromagnetic (EM), and ultrasonic (US) characterizations of two types of concrete, one subjected to alkali-aggregate reaction (AAR) and the other to delayed ettringite formation (DEF), for various saturation degrees.
DOI: 10.57745/wuii9h
title: 16S RNA metabarcoding dataset from microbiota of conventionnal broiler carcass rinses

description: The dataset provides information on the bacterial diversity of 480 conventional broiler carcasses collected in a French slaughterhouse between 2022 and 2023. It includes 16S rRNA metabarcoding data from the broiler carcass rinses, both before and after 7 days of storage at 4°C. To minimize high individual variability, the carcass rinses were pooled in groups of three to create one sample, resulting in a total of 320 sequenced samples. However, due to poor library quality, two samples were removed, leaving a total 318 sequenced samples. Amplicons from the region V3-V4 of 16S rRNA were sequenced with Illumina MiSeq technology. The aim of collecting these carcass microbial diversity data was to characterize bacterial species that are positively or negatively correlated with Campylobacter on chicken meat.
DOI: 10.15468/dl.lltmv2
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Narcissus obvallaris Salisb."
 ]
}

 The dataset includes 19 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003605-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gzh94a
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rana dalmatina Fitzinger, 1838"
 ]
}

 The dataset includes 68 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0143251-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mu39yy
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Lithocarpus paihengii Chun & Tsiang"
 ]
}

 The dataset includes 33 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0174276-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.45xv77
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parnassia scaposa Mattf."
 ]
}

 The dataset includes 18 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0331538-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ezcxd9
title: Occurrence Download

description: A dataset containing 710 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cephalophus natalensis A.Smith, 1834"
 ]
}

 The dataset includes 710 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018765-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qurdqe
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Royal Belgian Institute of Natural Sciences Belgian Marine Invertebrates collection",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 135 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0204088-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hnfv1t
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Rwanda",
 "TaxonKey is Gorilla beringei beringei"
 ]
}

 The dataset includes 22 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012435-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uzrc6n
title: Occurrence Download

description: A dataset containing 16146 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taxonomy and distribution of ecosystem types: implementation of ecosystemology principles"
 ]
}

 The dataset includes 16146 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021382-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rcu7kj
title: Occurrence Download

description: A dataset containing 293 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is A revision of European species of the genus Tetrastichus Haliday (Hymenoptera: Eulophidae) using integrative taxonomy"
 ]
}

 The dataset includes 293 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0339887-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nhss3q
title: Occurrence Download

description: A dataset containing 3382 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stipa comata Trin. & Rupr.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3382 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038737-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6emyy5
title: Occurrence Download

description: A dataset containing 1767 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ammotragus lervia (Pallas, 1777)"
 ]
}

 The dataset includes 1767 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0143231-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mkgtb7
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is A new species of Xyliphius, a rarely sampled banjo catfish (Siluriformes: Aspredinidae) from the rio Tocantins-Araguaia system"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0339950-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fngbp6
title: Occurrence Download

description: A dataset containing 2845 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cardamine udicola Jord., Carex mackenziei V.I.Krecz., Clematis tangutica (Maxim.) Korsh.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 2845 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0161953-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ghd3qp
title: Occurrence Download

description: A dataset containing 28224 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is NLD",
 "TaxonKey is Aves",
 "Year 2010-2022"
 ]
}

 The dataset includes 28224 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0194066-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.