cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/jyxphz
title: Life Cycle Inventory of agricultural tractors

description: This dataset presents two Life Cycle Inventory (LCI) data of an agricultural tractor. The inventory takes into account the raw materials needed for the tractor manufacturing and maintenance over its lifetime as well as the energy and infrastructure needed for manufacturing. Calculations were made based on a tractor of 7300 kg with the following characteristics : 155 CV, 6 cylinders, four-wheel drive. Two LCI are produced : a LCI for a 7200 h lifetime tractor, representative of an accounting depreciation, and a LCI for a 12000h lifetime tractor, representative of the whole service life of the tractor (first use to final disposal). The functional unit is 1 kg of tractor (kg) or 1 piece (p) of tractor during its lifetime.
DOI: 10.57745/k9fvcy
title: Catalogue des données des SI du Cati SICPA

description: Lien vers les catalogues des données référencées dans le thésaurus INRAE et les ontologies ATOL et AHOL.
DOI: 10.57745/jjrnnj
title: Age effect on 2019 BLUP data miscanthus

description: It includes the BLUPs of genotype effects (BLUP_A19_G), interactions of genotype with age 4 (BLUP_A19_I4) and interactions of genotype with age 5 (BLUP_A19_I5). It also contains the corresponding QTLs: QTL_A19_G, QTL_A19_I3 and QTL_A19_I4, respectively.
DOI: 10.57745/koshch
title: THE HORSE HOLOBIONT IN A STRESSFUL WORLD FROM MICROBES TO ECOSYSTEMS

description: Manuscript Habilitation à diriger des recherches
DOI: 10.57745/jvooy8
title: Positional 13C-enrichment approaches for TMS derivatives from GC-MS analyses (isotopic corrections and calculations)

description: A P2M2 (IGEPP's Metabolic Profiling and Metabolomic Platform) workflow was built based on GC-MS raw data containing multiple ions from each TMS-derivative of interest to: i) correct for natural abundance, ii) calculate carbon isotopologue distributions and mean 13C enrichment, iii) calculate some positional 13C-enrichments. This workflow is specifically dedicated to the analysis of multiple mass fragments from a same metabolite (TMS-derivative) in order to calculate positional 13C enrichments. The corrective method is publicly available and can be run directly from GC-MS source files using the following workflow : Conversion GCMS PostRun Analysis to IsoCor Isotopic studies &gt; Isotope Correction for mass spectrometry labeling experiments Calculations of positional 13C-enrichments The sources are available on the GitHub repository of the P2M2 platform. The workflow is composed of three items: "Conversion GCMS postrun analysis to IsoCor" , "Isotope Correction for mass spectrometry labeling experiments" and “Calculations of positional 13C-enrichments”. The first item (gcms2isocor) allows to convert GCMS raw data into a table suitable for IsoCor. For this purpose,the input files must contain a column "Name" filled with each carbon isotopologue of each fragment considered and a column "Area" filled with the area of the integrated peak. The name of each mass fragment analysed in the method file must be written exactly as depicted in the GCMS_example_file . This will ensure that the combination between the chemical formula of the metabolite backbone and the chemical formula of the TMS backbone is correct and clearly identified by IsoCor. Additionally, it will prevent the production of similar “metabolite” with IsoCor arising from different m/z. The identification of chemical structures for each fragment reported in the dataset has been manually curated with respect to known fragmentation patterns and 13C positional studies (see the reference publication). As an example, the name "ProlineC2C5m142_TMS_m0" and "ProlineC2C5m216_2TMSMINUSCH3_m0" are for the GC-MS fragments containing both the C2-C3-C4-C5 carbon skeleton of proline_2TMS derivative but which differed with respect to the m/z monitored (142 or 216) and its subsequently derivative backbone (TMS or 2TMSMINUSCH3). If this first step of the workflow is bypassed, the users are solely responsible for the scientific credibility of the results generated. The second item allows to correct for the abundance of naturally occurring isotopes using IsoCor software. Please run IsoCor with the three files “Isotopes.dat”, “Metabolites.dat” and “Derivatives.dat” from the dataset. The third item allows to calculate all positional 13C-enrichments depending on the fragments contained in the original data. It is possible to edit calculation rules if some fragments are prefered, otherwise all combinations of calculations will be performed. The results can be directly inspected visually and downloaded as a .txt format.
DOI: 10.57745/kvaguh
title: Centrifuge modelling database for dynamic response of homogeneous embankments resting on liquefiable sand layer containing fines

description: This is a dataset includes detailed information on accelerations, pore pressures, and displacements of two centrifuge models. These physical model reproduce a homogenous embankment constructed on liquefiable ground taking into account the presence of fines in the liquefiable layer. The liquefiable layer was prepared by a mixture of sand and non-plastic and the physical model was subjected to a sequence of seismic signals.
DOI: 10.57745/ji8hj3
title: Seasonal Physico-Chemical and High-Frequency Monitoring of Lake Tignes for Mecanistic Model Calibration and Climate Change Impact Assessment (2022-2023)

description: This dataset, collected by CARRTEL-INRAE in collaboration with the municipality of Tignes, is part of a study on climate change impacts on the thermal structure and water quality of Lake Tignes. Monthly physico-chemical measurements (temperature, conductivity, pH, salinity, oxygen concentration, and oxygen saturation) were conducted from May 2022 to March 2023 at the deepest points of the lake's two basins using a KorEXO multi-parameter probe. Additional high-frequency data on temperature, oxygen, and light were gathered at various depths near the outlet sub-basin from May 2022 to September 2023. Laboratory analyses focused on the chemical composition of the water in the euphotic and deeper layers (e.g., nutrients, ions, chlorophylls, and pigments) following standardized protocols. Phytoplankton community counts were also conducted. Lake tributary parameters were measured with a multiparameter probe. Detailed methodology and data descriptions are available in the scientific report: Prospective et effets du changement climatique sur le lac de Tignes (CARRTEL, 2024, ⟨hal-04722121⟩).
DOI: 10.57745/kjgoyz
title: Data and scripts for "Viral and immune dynamics of genital human papillomavirus infections in young women with high temporal resolution"

description: These files correspond to scripts and data associated with the publication "Viral and immune dynamics of human papillomavirus genital infections in young women" generated in the context of the EVOLPROOF ERC project. They correspond to virus load, cytokines density, antibody titers, and immune cell populations measured in young women followed longitudinally.
DOI: 10.57745/kqsgbk
title: MassiveFold data for target T1218 - T260

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/icgrpm
title: Powerpoint de présentation du dispositif des 60 placettes permanentes

description: powerpoint de présentation du dispositif des 60 placettes permanentes installées en forêt de Chantilly dans le cadre du programme de recherche "Ensemble sauvons la forêt de Chantilly"
DOI: 10.57745/jrb0of
title: Energetically accurate lipid-protein association for incorporation into membranes of any form: a generalized implicit framework

description: This dataset contains the input, configuration and output files described in Lanrezac & Baaden 2023. It also contains binaries or UnityMol, MDDriver and BioSpring, which are the programs used to in this interactive simulations.
DOI: 10.57745/kkay1i
title: Data on the legume-based ingredients of food products retrieved from MINTEL-GNPD over 2010-2020

description: Jeux de données demandé par éditeur pour révision article
DOI: 10.57745/kd9uzd
title: Replication data for "Modeling and analysis of rooftop solar potential in highland and lowland territories: Impact of mountainous topography"

description: This dataset contains municipal solar resource data, generated using the toscana tool. Dataset description Each file corresponds to a specific village. Two types of files are available in this dataset : a solar cadastre in raster format, representing the annual solar irradiation (in kWh/m²) received by the surfaces, and a file containing the average annual solar irradiation per building (in kWh/m²) in shapefile format. Study context This dataset was created within the frame of a study analyzing the impact of topography on rooftop solar potential. In this study, 92 French villages were simulated, that are located in the Alps and in the Rhône Valley. This study has made the object of a publication in Solar Energy, 2024, doi.org/10.1016/j.solener.2024.112632 To extend the research, the dataset was supplemented with 100 additional villages to investigate the combined effect of topography and local parameters, such as local climate, urban planning, dataset, and variations in topographic features. These other villages are located in the French Pyrenees, in mountainous regions of foreign countries (Spain, Italy, Switzerland, Germany) and in French lowland areas other than the Rhône Valley. The data are categorized by village, and villages are further classified based on their geographical location. French mountain villages are stored in the "Alps" or "Pyrenees" folders, while lowland villages are found in "Rhône_Valley" and "Other_plain_villages" folders. Foreign mountain villages are in the "Foreign_mountain_villages" folder and further subdivided by country. Methodology The metholodology used to obtain municipal solar resource data is described in detail in a publication ( https://doi.org/10.1016/j.solener.2024.112632) and in the documentation of the toscana package, available on GitHub at the following address : https://github.com/locie/toscana/tree/main/doc/_build. The BDTOPO database is used to retrieve the municipal boundaries and building footprints, while the EU-DEM database is used to provide the DEM. QGIS functions are used to process geographical data, create a DSM and divide the territory into tiles to reduce the computational time. Meteorological data (Typical Meteorological Year) are retrieved from PVGIS for each tile and averaged weather files are used in the simulations to account for the difference in spatial resolution between the tiles and the meteorological database. Solar energy simulations are conducted using the SEBE algorithm for each tile. Finally, QGIS functions are applied to process and generate the final output files.
DOI: 10.57745/kphhao
title: Dataset of NMR Profiles and T2 for 10 herbaceous species grown on rhizotron along with morphological and ecophysiological data

description: This dataset contains NMR (Profiles and T2 decay curves) and ecophysiological data acquired on 10 well-watered herbaceous species grown on rhizotron. Data were acquired using NMR MOUSE® spectrometer as described in the first article, 10.3390/plants10040782, based on 3 species and dealing with the state of water. In the present analysis, our aim was to understand the dynamics of root water quantity and mobility within roots during nychthemeral cycles for ten herbaceous species with contrasting root traits. The study was submitted to Plant and Soil journal for publication. The ReadMe file describes data organization in each workbook
DOI: 10.57745/jrcnej
title: Experimental (n, n' gamma) cross sections for isotopes 182,184 and 186W

description: This package publishes a series of (n, n' gamma) cross sections for isotopes 182,184 and 186W.
DOI: 10.15468/dl.5t3g8r
title: Occurrence Download

description: A dataset containing 521 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dendropsophus bokermanni (Goin, 1960)"
 ]
}

 The dataset includes 521 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121875-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q76yxq
title: Occurrence Download

description: A dataset containing 175681 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample"
 ]
 },
 "Continent is South America",
 {
 "or" : [
 "Country is Colombia",
 "Country is Ecuador"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Anura"
 ]
}

 The dataset includes 175681 records from 278 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0200117-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f7zudw
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pimenta samanensis (Alain) Peguero"
 ]
}

 The dataset includes 20 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017263-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9k8s2d
title: Occurrence Download

description: A dataset containing 113035 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Argentina",
 "Country is Brazil",
 "Country is Paraguay"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Nannopterum brasilianum (J.F.Gmelin, 1789)"
 ]
}

 The dataset includes 113035 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0267427-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qvttfa
title: Occurrence Download

description: A dataset containing 380 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pteronotropis euryzonus (Suttkus, 1955)"
 ]
}

 The dataset includes 380 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0340557-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k95u75
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Antigonon leptopus Hook. & Arn."
 ]
}

 The dataset includes 51 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019186-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eyebjw
title: Occurrence Download

description: A dataset containing 4877 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gyromitra esculenta Pers. ex Fr., Leucangium carthusianum (Tul. & C.Tul.) Paol., Helvella queletiana Sacc. & Traverso)",
 "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 4877 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0164344-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b9wm2c
title: Occurrence Download

description: A dataset containing 5613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Microbotryum Lév."
 ]
}

 The dataset includes 5613 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0434552-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hpvm9c
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psidium acranthum Urb."
 ]
}

 The dataset includes 25 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017265-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5safrw
title: Occurrence Download

description: A dataset containing 748 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hackelia mexicana (Cham. & Schltdl.) I.M.Johnst."
 ]
}

 The dataset includes 748 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0203826-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3twjx
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "Geometry POLYGON((-55.21729 -27.09948,-46.86768 -27.09948,-46.86768 -21.45435,-55.21729 -21.45435,-55.21729 -27.09948))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hemitriccus orbitatus (Wied-Neuwied, 1831)"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0204500-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kqk4uw
title: Occurrence Download

description: A dataset containing 1583 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lespedeza tomentosa (Thunb.) Siebold ex Maxim."
 ]
}

 The dataset includes 1583 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0340540-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ttgj8
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mosiera gracilipes (Alain) Salywon"
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017262-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mzxayh
title: Occurrence Download

description: A dataset containing 492313 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((35.62496433333334 32.397476, 35.62496433333334 48.88410666666667, 2.179608666666667 48.88410666666667, 2.179608666666667 32.397476, 35.62496433333334 32.397476))",
 "EventDate is 2019-10-01,2019-10-31"
 ]
}

 The dataset includes 492313 records from 488 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009533-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wjnnr2
title: Occurrence Download

description: A dataset containing 424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 1950-1990",
 "HasCoordinate is true",
 "TaxonKey is Rhinolophus mehelyi Matschie, 1901",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 424 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010792-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdyry6
title: Occurrence Download

description: A dataset containing 25300 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is COL",
 "TaxonKey is Melanerpes formicivorus (Swainson, 1827)"
 ]
}

 The dataset includes 25300 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0321878-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4cwqsw
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ponticola ratan (Nordmann, 1840)"
 ]
}

 The dataset includes 26 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0340555-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3w84tm
title: Occurrence Download

description: A dataset containing 664 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Asparagus densiflorus (Kunth) Jessop",
 "HasCoordinate is true"
 ]
}

 The dataset includes 664 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022130-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.