cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15454/sqqtuu
title: On-site substrate characterization in the anaerobic digestion context: a dataset of near infrared spectra acquired with four different optical systems on freeze-dried and ground organic wastes

description: The near infrared spectra of thirty-three freeze-dried and ground organic waste samples of various biochemical composition were collected on four optical systems, including a laboratory spectrometer (Buchi FT-NIR NirFlex N-500), a transportable spectrometer (ARCoptix FT-NIR Rocket) with two measurement configurations (an immersed probe, and a polarized light system (PoLis)) and a micro-spectrometer (Si-ware FT-NIR NeoSpectra). The provided data contains one file per spectroscopic system including the reflectance or absorbance spectra with the corresponding sample name and wavelengths (nm). A reference data file displaying carbohydrates, lipid and nitrogen content, biochemical methane potential and chemical oxygen demand for each sample is also provided. This data enables the comparison of the optical systems for predictive model calibration based for example on Partial Least Square Regression (PLS-R), but could be used more broadly to test new chemometrics methods. For example, the data could be used to evaluate different transfer functions between spectroscopic systems.
DOI: 10.15454/tihhyp
title: SMOS-IC v2

description: The SMOS-IC v2 product includes both a soil moisture (SM) and a L-band vegetation optical depth (L-VOD) data set which are currently at the basis of several studies evaluating the impact of climate and anthropogenic activities on aboveground carbon stocks. Since the release of the first version, the algorithm has been significantly changed in support to key applications. It has a spatial resolution is around 0.25° and a daily temporal resolution. All the details concerning the SMOS-IC v2 product can be found in: Jean-Pierre Wigneron, Xiaojun Li, Frédéric Frappart, Lei Fan, Amen Al-Yaari, Gabrielle De Lannoy, Xiangzhuo Liu, Mengjia Wang, Erwan Le Masson, Christophe Moisy, SMOS-IC data record of soil moisture and L-VOD: Historical development, applications and perspectives, Remote Sensing of Environment, Volume 254, 2021, 112238, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2020.112238. (https://www.sciencedirect.com/science/article/pii/S0034425720306118)
DOI: 10.15468/dl.3u783h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Poyntonophrynus fenoulheti (Hewitt & Methuen, 1912)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.7576 -24.3688,20.529 -24.0715,20.509 -24.0715,20.509 -28.5786,25.5395 -28.5786,25.5395 -24.0715,25.1306 -24.0715,24.9333 -24.4571,23.8962 -24.2467,22.8065 -24.295,22.3719 -24.7207,22.2323 -25.547,22.0387 -25.7188,21.7833 -25.7784,21.5388 -25.7113,21.3553 -25.5415,20.7576 -24.3688))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035113-250525065834625/datasets/export for details.
DOI: 10.15454/nzagmw
title: Numerical simulation program based on Carver-Richards equations for the calculation of the transverse relaxation rate of simple sugars solutions

description: This Scilab program calculates the transverse relaxation rate of sugar solutions modeling the fruit vacuolar content by taking into account various parameters such as the intensity of the magnetic field, the echo time, the temperature and the pH of the sample, the concentration (fraction of the number of exchangeable protons in the solute). The difference in chemical shift, the relaxation times of the solvent (T2a) and of the pure solute (T2b) must be entered.
DOI: 10.15454/onsgcg
title: Preparation Of Composites Based On Polyhydroxyalcanoates (PHBV) And Agro-Waste

description: Agro-waste and fibrous solid residues obtained from the processing of agricultural products have been exploited to obtain new polymeric composites, where the residues act as filler for the polymeric matrix. The agro-waste residues were i) white and red (Garganega and Merlot) grape pomace and shoots (in collaboration with the University of Montpellier), ii) residues derived after extraction of active molecules, such as polyphenols, from grape pomace, iii) residues derived from the potato starch extraction. Residues, after a characterization by thermogravimetric analysis in order to evaluate their thermal stability at the polymer processing temperatures (180-200°C), have been dried in an oven at 60°C for 24 h and milled. Then, the composite preparation has been carried out by melt mixing in a Brabender mixer the residues with the renewable and biodegradable PHBV polymer, following a green approach (solvent-less process). The solid residues, derived from winery waste (pomace and shoots) and from solvent and pressurised-liquid extractions, were mixed in a content variable between 5 and 20% by weight. The composites showed thermal and mechanical properties that were only slightly modified with respect to those of the matrix despite the presence of a significant percentage of a second component, that acted as a filler. The added residue was compatible with the polymeric matrix and does not present main problems in processing: therefore, the composites could find application in horticulture sector or the packaging area. Analogously to winery residues, the potato residue was included as a filler into PHBV matrix up to 40 wt%. The thermal properties were not affected by the filler presence. In particular, the potato residue does not interfere with the crystallization and melting behaviour of PHBV. The mechanical properties decreased but not proportionally to the very high amount of filler: even if the polymeric matrix amount was almost halved, the biocomposites still presented properties suitable for practical applications. The use of both pomace and potato residues in biocomposites could, therefore, bring both to the reduction of the cost of the final material, as a lower amount of costly PHBV is used, and to the improvement of a few material properties, as well as to the full valorisation of agro-wastes and the production of a new materials that are potentially biodegradable.
DOI: 10.15454/pnbeam
title: Microhaplotype genotyping-by-sequencing of 98 highly polymorphic markers in three chestnut tree species

description: Chestnut species have large ecological, cultural and economic importance. Developing genetic markers for these species is of interest for conservation, breeding or evolutionary studies. We designed 192 primer pairs targeting microsatellites detected in the Castanea mollissima reference genome and tested them on C. sativa and C. crenata. We PCR amplified 3×50 microsatellites in 109 chestnut trees. Microhaplotype calling accounting for all polymorphisms resulted in a total of 98 high confidence polymorphic markers.
DOI: 10.15454/qbqfcx
title: Grain-Legumes Species WoS DataSet 1980-2018

description: The text file corresponds to the search query capturing the main grain-legumes species cultivated in temperate climate (both soya and pulses) to be applied on the WoS (Web of Knowledge). This search query is restricted to the main types of scientific literature documents, namely the types: article, book, book chapter, and review. This translated into the query DT = ("Article" OR "Book" OR "Book Chapter" OR "Review"); the time range selected is 1980-2018 (PY = "1980-2018"). Names used (latin or uses names) are the ones to designate the main grain-legume species and varieties cultivated in temperate climates. UT file corresponds to the results of this search query (UT refers to a WoS unique identifier for each record retrieved) after a post-processing step which eliminated the records captured by the Wos KeyWord Plus : ie, the UT file correspond to records containing terms of the search query only in title, abstract, and (regular) keywords. See the related publication for more information.
DOI: 10.15454/sfaxaa
title: MRI images of underground organs of potato plants grown under two water regimes

description: This dataset contains MRI images in DICOM format (consisting of a header with acquisition parameters and image data sets packed into a single file) that support the findings of the manuscript “A global non-invasive methodology for the phenotyping of potato under water deficit conditions using imaging, physiological and molecular tools” submitted to Plant Methods for publication. Images were recorded on a 1.5 T MRI scanner (Magnetom Avanto, Siemens, Erlangen, Germany) equipped with a circular polarized head array coil as described in the article. Images of the underground organs of potato plants acquired using 3D Fast Spin Echo (FSE) sequence are found in two main folder corresponding to each water regimes applied during plant growth (Control and MWD). In each conditions, four plants were analyzed (P1 to P4). For each plants, 192 images are saved in 7 folders corresponding to each MRI measurement session and named according to the number of days after shoot emergence (xx-DASE). Solanum tuberosum; Magnetic Resonance Imaging; in situ measurements; tuber; drought; water stress;
DOI: 10.15454/shliha
title: Data for Grapevines Under Drought Do Not Express Esca Leaf Symptoms

description: Raw dataset for "Grapevines under drought do not express esca leaf symptoms". Four different data .xlsx files and four .txt data description comprehending all the data necessary for tables, statistical tests, and figures presented in the main (submitted) manuscript.
DOI: 10.15454/oaxqx8
title: Compilation of data on soil organic carbon stocks and N2O emissions from published long term fields trials

description: This dataset was produced within the Landmark project to assess the accuracy of the DEXI climate regulation model. This was done by simulating the response of the soil organic carbon stock or N2O emissions from agricultural soils in long-term experiments (LTEs) and comparing the model outcomes to reported changes. LTEs were chosen because they facilitate the assessment of a range of different management practices on the component parts of the climate regulation function over a decadal timescale. The geographical location of the LTEs was limited to Europe, since the model has been developed specifically to make simulations across Europe. For this purpose, the database constructed by Sandén et al. (2018) was used. This database contains publications on 251 European LTEs in which the effect of alternative management practices on soil quality were assessed. From these, 78 LTEs reported on changes in SOC stocks and 40 reported on changes in N2O emission or NO3- leaching. A large portion of these LTEs studied the effect of tillage (n = 18 for N2O, n = 33 for C stocks). As the effect of tillage on these soil properties has been summarized in multiple meta-studies, it was chosen not to run all these studies separately by the model, but instead, model performance was assessed based on these meta-analyses (Luo et al., 2010; Powlson et al., 2014). After excluding studies on the effect of tillage and studies using parameters that are not simulated by the model, the number of studies we retained to test the model was 6 for N2O emissions, 2 for NO3- leaching and 12 for changes in SOC stocks. This includes one additional study on NO3- leaching (Hansen and Djurhuus, 1997) and one on C sequestration (Spiegel et al., 2018) that were added to the dataset. (2019-04-01) Hansen, E. M., and Djurhuus, J. (1997). Nitrate leaching as influenced by soil tillage and catch crop. Soil Tillage Res. 41, 203–219. doi:10.1016/S0167-1987(96)01097-5. Luo, Z., Wang, E., and Sun, O. J. (2010). Can no-tillage stimulate carbon sequestration in agricultural soils? A meta-analysis of paired experiments. Agric. Ecosyst. Environ. 139, 224–231. doi:10.1016/j.agee.2010.08.006. Powlson, D. S., Stirling, C. M., Jat, M. L., Gerard, B. G., Palm, C. A., Sanchez, P. A., et al. (2014). Limited potential of no-till agriculture for climate change mitigation. Nat. Clim. Chang. 4, 678–683. doi:10.1038/nclimate2292. Sandén, T., Spiegel, H., Stüger, H.-P., Schlatter, N., Haslmayr, H.-P., Zavattaro, L., et al. (2018). European long-term field experiments: knowledge gained about alternative management practices. Soil Use Manag. 34, 167–176. doi:10.1111/sum.12421. Spiegel, H., Sandén, T., Dersch, G., Baumgarten, A., Gründling, R., and Franko, U. (2018). “Soil Organic Matter and Nutrient Dynamics Following Different Management of Crop Residues at Two Sites in Austria,” in Soil Management and Climate Change (Elsevier), 253–265. doi:10.1016/B978-0-12-812128-3.00017-3.
DOI: 10.15454/ohxvjy
title: OLA's Database Datatypes modeling diagrams

description: The OLA database contains data collected on 4 peri-alpine lakes (Lakes Aiguebelette, Annecy, Bourget, Geneva/Léman) and 24 high-altitude lakes of the northen French Alps and Pyrenees mountains. The OLA database was designed according to a relational model. Each type of data is modeling in the same way, so generic as possible. The modeling of each type of data is provided here in the form of relational diagrams. The modeling schemes here relate to physical- chemistry, phytoplankton, zooplankton, chlorophyll, primary production, multiparameter probes and general sampling conditions. A general diagram (OLA_DATABASE-API-Modeling.pdf) completes these diagrams by data type, making it possible to see the relationships and constraints between the different tables of the model.
DOI: 10.15454/pg4vuh
title: Ontology for Experimental Phenotypic Objects

description: The Ontology for Experimental Phenotypic Objects (OEPO), allows assigning types (e.g. Experimental organization and context, Environment type, Germplasm, Physical Object) to objects involved in phenotyping experiments and defining specialization hierarchy between them according to the specificities of the installations and experiments.
DOI: 10.15454/sgo7eu
title: Physico-chemical parameters of river water in Oir and its tributaries (Manche county - France)

description: The data consist of physico-chemical parameters of river water in Oir and its tributaries, collected since 2001. The parameters are water temperature (°C), hydrogen potential (pH), conductivity, turbidity, nitrates (NO3-), nitrites (NO2-), ammonium (NH4+) and ortophosphates (PO4 ---). This data is collected as part of the French Environmental Research Observatory (ERO) on Diadromous Fish in Coastal rivers (DiaPFC). ORE DiaPFC is a research infrastructure dedicated to the study of diadromous fish populations under the influence of anthropic pressure (e.g. agriculture) and environmental changes (e.g. climate). The river Oir is located at the southern edge of Normandy in the Manche county (latitude: from 48.6840 to 48.5985; longitude: from -1.2949 to -1.0994), it is a tributary of the river Sélune, a coastal river that flows into the Bay of Mont Saint-Michel. The river Oir is 21km long with a 85.4 km2 catchment area. The elevation ranges from 9 to 80 metres, the mean gradient is 1.1% and the mean discharge is 1.1m3/s. The geology of the catchment is characterised by sedimentary schists and metamorphic hornfels with granite inclusions, and land use is dominated by agricultural activities, e.g. crops and livestock.
DOI: 10.15454/nxyh6g
title: Global gridded dataset about supply and demand for nitrogen and phosphorus for cereals

description: Files of demand (D) and supply (S) for nitrogen (N) and phosphorus (P) when N and P are considered as independent. All variables are in kg(N or P)/ha/yr. Dimension called "nmonte" correspond to monte-carlo simulations used to assess the uncertainty. D_N, D_P and S_P depend on crop while S_N does not. These variables are used in the computation of supply/demand ratios for nutrients considered as independent (Eq.1-2 of the associated publication) and for nutrients considered in interaction (Eq.7-8). They can also be used to compute nutrient limitations in crossed fertilization experiments (Eq.3-6 with A_N=30kgN/ha/yr and A_P=5kgP/ha/yr, as in the associated publication).
DOI: 10.15454/owpapv
title: Supplemental tables and figures for Lardy et al., 2021. Refinement of International Recommendations for Cubicles, Based on the Identification of Associations between Cubicle Characteristics and Dairy Cow Welfare Measures. Journal of Dairy Science

description: This dataset contains Supplemental tables and figures for Lardy et al., 2021. Refinement of International Recommendations for Cubicles, Based on the Identification of Associations between Cubicle Characteristics and Dairy Cow Welfare Measures. Journal of Dairy Science
DOI: 10.15454/q0njqn
title: RPG complété 2018 département 34

description: RPG complété 2018. Complète le RPG campagne 2018 pour le département 34. (contient les parcelles agricoles hors RPG) Données géographiques (vectorielles, shapefile), parcellaires. Sources : IGN, OSO/Cesbio. Traitements : INRAE US ODR, 2020.
DOI: 10.15454/qhftmx
title: French Crop Usage Thesaurus

description: Les sources utilisées sont le registre parcellaire, le larousse agricole, wikipédia, le catalogue officiel des espèces et variétés de plantes cultivées en France du GEVES, les fiches "les plantes fourragères pour les pairies" du GNIS, la base Ephy, la liste des cultures à utiliser pour renseigner le descriptif des parcelles et les statistiques agricoles annuelle de l'Agreste. Concernant les légumes et leur classification nous avons cherché les points communs entre plusieurs sources: Wikipedia, Bonduelle, FranceAgriMer, Encyclopedia Universalis, AM Nagelseim, la ferme du Bec Hellouin. A notre qu'il n'existe pas de consensus sur la classification des légumes. Cette classification est utilisée pour organiser les Bulletins de Santé du Végétal (BSV) et les fiches GECO. Cette classification n'est pas complète et aura besoin d'évoluer au cours du temps en fonction des besoins. L'auteur est catherine roussey de l'INRAE catherine.roussey@inrae.fr
DOI: 10.15454/r4nesa
title: Dataset - Insect herbivory on urban trees: Complementary effect of tree neighbours and predation

description: This dataset contains the raw csv file of the data used in the paper "Insect herbivory on urban trees: Complementary effect of tree neighbours and predation", a glossary.docx file containing the glossary associated with the dataset and the RMarkdown file with the script and analysis used in the paper.
DOI: 10.15454/ngbspc
title: The first horse gut microbiome gene catalog reveals that rare microbiome ensures better cardiovascular fitness during endurance racing

description: Emerging evidence indicates that the gut microbiome contributes to endurance exercise performance, but the extent of their functional and metabolic potential remains unknown. Using elite endurance horses as a model system for exercise responsiveness, we built the first equine gut microbial gene catalog comprising more than 25 million non-redundant genes representing 4,696 genera spanning 95 phyla. The unprecedented resolution unrevealed functional pathways relevant for both the structure of the microbiome and the host health and recovered 369 novel metagenome-assembled bacterial genomes, providing useful reference for future studies. Integration of microbial and host omic datasets suggested that microbiomes harboring rare species were functionally dissimilar from those enriched in Lachnospiraceae taxa. Moreover, they offered expanded metabolic pathways to fine-tune the cardiovascular capacity through mitochondria-mediated mechanisms. The results identify an associative link between horse endurance capability and its microbiome gene function, laying the basis for nutritional interventions that could benefit endurance athletes.
DOI: 10.15454/pnqquq
title: Genomic prediction between half-diallel and diversity panel populations in grapevine - phenotypic data and R scripts

description: Data and script analysis for across-population genomic prediction between diversity panel and half-diallel population in grapevine.
DOI: 10.15454/sctmiu
title: Phenological data of 26 varieties of apple, apricot, cherry trees and peach trees in a French orchard of Loire Valley since 2016

description: These datasets contain phenological observations on 7 apple, apricot, cherry varieties or mutants and 5 peach varieties evaluated since 2016. These data come from observations carried out since 2016 on the "La Rétuzière" estate belonging to the Horticulture Experimental Facility based in the Loire Valley in France. These datasets are evolving and enriched each year.
DOI: 10.15454/tq0xng
title: An appraisal of the role of compositional and ripening parameters on CO2 diffusivity in semi-hard cheese - CO2 diffusivity in semi-hard cheese in relation to moisture content

description: value unavailable
DOI: 10.15454/oi3vdq
title: Dataverse to JupyterHub connector

description: This React based connector enables data upload from a Dataverse server to a Jupyter server. Using dataverse External Tools, the connector acts as a relay between the two applications.
DOI: 10.15454/twfdyw
title: Dataset for MetaGWAS analysis of tomato fruit quality

description: This dataset corresponds to the data and script used for a meta-analysis of genome-wide association studies in tomato for main flavor-related traits. They are based on re-analysis of original data provided in Sauvage et al (2014), Bauchet et al (2017) and Tieman et al (2017). Each file corresponds to one trait containing the following information: SNP, Chromosome (CHR), Position (POS), Reference allele (AL1), Alternative allele (AL2), Betavalue of meta-analysis (BETA), standard error of meta-analysis (SE), Meta-analysis P value(PVALUE), Study direction (Direction), Heterogeneity (HetIsq) and heterogeneity P value (HetPVal). We also provide the script containing the central command lines to perform an imputation-driven meta-analysis. These files contain all the information that are required to perform a further meta-analysis. references Sauvage, C. et al. Plant Physiol. 165, 1120–1132 (2014). Bauchet, G. et al. New Phytol. 215, 624–641 (2017). Tieman, D. et al. Science 355, 391–394 (2017). All SNP positions were provided according to SL2.50 reference genome
DOI: 10.15454/ul0olw
title: Supplementary tables to manuscript: “Different patterns in leaf-associated viromes and mycobiomes of wild plant populations between cultivated and unmanaged environments”

description: Supplementary tables to manuscript in Chapter 3.
DOI: 10.15454/prpmd1
title: PGD structure URFM

description: Plan de Gestion de Données pour l'unité URFM.
DOI: 10.15454/rurzxn
title: Statistiques sur les stocks de carbone (0-30 cm) des sols du réseau RMQS

description: Les données présentées constituent les statistiques descriptives des stocks de carbone sur 0-30 cm, pour sept grands types d’occupation du sol, sur le territoire métropolitain (Corse inclue), de façon globale et par région administrative. L’estimation des stocks exclut les horizons organiques constituant la litière. Les variances d’échantillonnage (nommée varSTSI) et l’écart type sur l’estimation de la moyenne (nommée erreur sur la moyenne) ont été calculés d’après Saby et al. (2014). Les autres variables sont calculées de façon classique. Les stocks sont exprimés en kg/m²