cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16754980
title: Data and scripts from common garden and reciprocal transplant experiments investigating traits associated with altitude and temperature in Heliconius erato and Heliconius melpomene

description: Two Excel files contain the data:

CGE_all_data.xlsx: This excel file contains data collected on two species of Heliconius butterflies (Heliconius erato and Heliconius melpomene) reared under lab conditions (21 degrees celcius) - The Common Garden Experiemtn. Individuals were offspring of wild-caught females (Mother_Collection_Information) collected in across an elevational gradient (between 300 and 1500 masl). Data was collected on developmental parameters (CGE_development_data) including survival, developmental time and weight. Once emerged as adults individuals were tested for time to cold knockdown at 5 degrees celcius and recovery and time to heat knockdown at 39 degrees celcius and recovery (CGE_Thermal_tolerance). Wings were then removed and their size and colour parameters measured (RTE_Wing_data)

RTE_Data_all.xlsx: This excel file contains data collected on two species of Heliconius butterflies (Heliconius erato and Heliconius melpomene) reared under two temperature conditions (19 and 25 degrees celcius) - The Reciprocal Trnasplant Experiment. Individuals were offspring of wild-caught females (Mother_Collection_Information) collected in 2 elevational ranges (300-600 masl as "low" and 1100-1500 masl as "high"). Data was collected on developmental parameters (RTE_development_data) including survival, developmental time and weight. Once emerged as adults individuals were either tested for time to cold knockdown at 5 degrees celcius and recovery (RTE_Cold_tests) or time to heat knockdown at 39 degrees celcius (RTE_Heat_tests). Wings were then removed and their colour parameters measured (RTE_Wing_data)

Two associated R scripts that were used the analyse the data from the experiments:

modelling_protocol.R: R script used to fit the Linear Mixed-Effect or Generalised Linear Mixed-Effect Models to the data and calculate effet sizes

WingColour_image_processing.R; R script used to analyse the wing images to calculate the percentage of the wing that was black and the reflectance of the red patch.
DOI: 10.5281/zenodo.16754981
title: Data and scripts from common garden and reciprocal transplant experiments investigating traits associated with altitude and temperature in Heliconius erato and Heliconius melpomene

description: Two Excel files contain the data:

CGE_all_data.xlsx: This excel file contains data collected on two species of Heliconius butterflies (Heliconius erato and Heliconius melpomene) reared under lab conditions (21 degrees celcius) - The Common Garden Experiemtn. Individuals were offspring of wild-caught females (Mother_Collection_Information) collected in across an elevational gradient (between 300 and 1500 masl). Data was collected on developmental parameters (CGE_development_data) including survival, developmental time and weight. Once emerged as adults individuals were tested for time to cold knockdown at 5 degrees celcius and recovery and time to heat knockdown at 39 degrees celcius and recovery (CGE_Thermal_tolerance). Wings were then removed and their size and colour parameters measured (RTE_Wing_data)

RTE_Data_all.xlsx: This excel file contains data collected on two species of Heliconius butterflies (Heliconius erato and Heliconius melpomene) reared under two temperature conditions (19 and 25 degrees celcius) - The Reciprocal Trnasplant Experiment. Individuals were offspring of wild-caught females (Mother_Collection_Information) collected in 2 elevational ranges (300-600 masl as "low" and 1100-1500 masl as "high"). Data was collected on developmental parameters (RTE_development_data) including survival, developmental time and weight. Once emerged as adults individuals were either tested for time to cold knockdown at 5 degrees celcius and recovery (RTE_Cold_tests) or time to heat knockdown at 39 degrees celcius (RTE_Heat_tests). Wings were then removed and their colour parameters measured (RTE_Wing_data)

Two associated R scripts that were used the analyse the data from the experiments:

modelling_protocol.R: R script used to fit the Linear Mixed-Effect or Generalised Linear Mixed-Effect Models to the data and calculate effet sizes

WingColour_image_processing.R; R script used to analyse the wing images to calculate the percentage of the wing that was black and the reflectance of the red patch.
DOI: 10.15468/dl.4burkm
title: Occurrence Download

description: A dataset containing 28940 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-90.15621 38.49156,-94.22261 26.78127,-79.14239 24.30984,-75.65722 30.99273,-74.55334 38.56651,-90.15621 38.49156))",
 "HasGeospatialIssue is false",
 "TaxonKey is Liquidambar styraciflua"
 ]
}

 The dataset includes 28940 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050324-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d3qxw3
title: Occurrence Download

description: A dataset containing 905 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bursera morelensis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 905 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050328-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpwpsn
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Mantella expectata Busse & Böhme, 1992"
 ]
}

 The dataset includes 55 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027221-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u6fabf
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Baccharis multipaniculata A.S.Oliveira & Deble"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0145574-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z5k839
title: Occurrence Download

description: A dataset containing 540 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myotis bocagii (Peters, 1870)"
 ]
}

 The dataset includes 540 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0354907-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x35x4z
title: Occurrence Download

description: A dataset containing 854543 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lolium L."
 ]
}

 The dataset includes 854543 records from 1261 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0168786-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qgehpb
title: Occurrence Download

description: A dataset containing 19507 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thamnophilus ruficapillus Vieillot, 1816",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 19507 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027204-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6qbrat
title: Occurrence Download

description: A dataset containing 19486 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thlypopsis superciliaris (Lafresnaye, 1840)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 19486 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027212-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4rp826
title: Occurrence Download

description: A dataset containing 5868 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Utricularia poconensis E.Fromm-Trinta, Utricularia punctata Wall., Utricularia purpurea Walter, Utricularia quinquedentata F.Muell. ex P.Taylor, Utricularia radiata Small, Utricularia raynalii P.Taylor, Utricularia reflexa Oliv., Utricularia reniformis A.St.-Hil., Utricularia resupinata B.D.Greene ex Hitchc., Utricularia rhododactylos P.Taylor, Utricularia rigida Benj., Utricularia smithiana Wight, Utricularia spruceana Benth. ex Oliv., Utricularia stellaris L.fil., Utricularia striata Le Conte, Utricularia ×stygia G.Thor, Utricularia subulata L., Utricularia tenella R.Br., Utricularia tenuissima Tutin, Utricularia tetraloba P.Taylor, Utricularia trichophylla Spruce ex Oliv., Utricularia triflora P.Taylor, Utricularia tubulata F.Muell., Utricularia viscosa Spruce ex Oliv.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation, Material sample, Literature Occurrence, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 5868 records from 197 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0193022-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15454/av5rt2
title: Walnut Trait Ontology

description: This ontology gathers phenotypical traits and variables for walnut evaluation. These traits deal with phenology, in-shell walnut and kernel. They come from Descriptors for walnuts, IPGRI, 1994 or have been adapted or developed by Eric Germain.
DOI: 10.15454/avhyvm
title: Historical occurrences of diadromous fishes in French rivers between 1750 and 1980

description: The dataset provides historical occurrences of diadromous fishes in French rivers between 1750 and 1980. The dataset contains 1830 observations of 8 diadromous taxa, collected from historical sources by the Fluvial Hydroecology team (HEF) (HYCAR Research Unit - INRAE-Antony) since 2007. Data are available under a CC-BY 4.0 licence on the GBIF website.
DOI: 10.15454/bp9pbl
title: Données d'enquête sur les formations en relation avec les principes FAIR

description: Données issues d'un questionnaire d’enquête rédigé et diffusé à l’ensemble des partenaires du projet FooSIN pour identifier les formations entièrement dédiées aux principes FAIR, ou intégrées à des formations plus larges, en français ou anglais. L'enquête a été ouverte entre les 3 juin 2020 et le 25 février 2021. Dix-neuf enregistrements ont été saisis directement par des organisateurs de formations et vingt-huit enregistrements par l’équipe projet. Ils décrivent des formations identifiées à partir de requêtes sur internet, ou de sites de référence sur la science ouverte. Les formations axées sur l’analyse et la visualisation des données, ciblant un niveau expert (data scientists), n’ont pas été retenues.
DOI: 10.15454/bzg0r7
title: Allergy and Grain-Legumes WoS DataSet 1980-2018

description: The text file corresponds to the search query capturing the main research on allergy theme on grain-legumes (both soya and pulses, see Species Grain-Legumes WoS dataset) 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"). Allergy theme concerns on allergy linked to the use of legumes in food. 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/bzvxg0
title: RPG complété 2018 département 43

description: RPG complété 2018. Complète le RPG campagne 2018 pour le département 43. (contient les parcelles agricoles hors RPG) Données géographiques (vectorielles, shapefile), parcellaires. Sources : IGN, OSO/Cesbio. Traitements : INRAE US ODR, 2020.
DOI: 10.15454/c9laef
title: ODAM Virtual Disk Image (VDI) for Oracle VM VirtualBox - Zipped with 7zip.

description: ODAM (Open Data for Access and Mining) is an Experiment Data Table Management System (EDTMS) that implements a simple way to make research data broadly accessible and fully available for reuse, including by script languages such as R and Python. The main purpose is to make a dataset accessible online with minimal effort from the data provider, and to allow any data scientists or researchers to be able to explore the dataset and then extract a subpart or the totality of the data according to their needs.
DOI: 10.15454/dsyxmj
title: Turn-on power measurements on B3-EM001-S4 RAIN transponder

description: Turn-on power measurements on B3-EM001-S4 RAIN transponder and associated environmental data
DOI: 10.15454/afhknw
title: RPG complété 2018 département 07

description: RPG complété 2018. Complète le RPG campagne 2018 pour le département 07. (contient les parcelles agricoles hors RPG) Données géographiques (vectorielles, shapefile), parcellaires. Sources : IGN, OSO/Cesbio. Traitements : INRAE US ODR, 2020.
DOI: 10.15454/cmqoux
title: RPG complété 2018 département 54

description: RPG complété 2018. Complète le RPG campagne 2018 pour le département 54. (contient les parcelles agricoles hors RPG) Données géographiques (vectorielles, shapefile), parcellaires. Sources : IGN, OSO/Cesbio. Traitements : INRAE US ODR, 2020
DOI: 10.15454/cngeua
title: RPG complété 2018 département 19

description: RPG complété 2018. Complète le RPG campagne 2018 pour le département 19. (contient les parcelles agricoles hors RPG) Données géographiques (vectorielles, shapefile), parcellaires. Sources : IGN, OSO/Cesbio. Traitements : INRAE US ODR, 2020.
DOI: 10.15454/cnytlq
title: R code, partial dataset and results for: Modelling the impacts of agricultural landscape changes: A bibliometric review

description: This dataset include 514 scientific papers, which were used to review the litterature on impact modelling of agricultural landscapes. This study was published in Environmental Modelling and Software [Hossard, L., Chopin, P., in press. Modelling agricultural changes and impacts at landscape scale: A bibliometric review, Environmental Modelling and Software]. The literature search was conducted in April 2017 and involved entering keywords in the Clarivate Analytics’ Web of Science without a time frame limitation. The search was limited to the “Article” document type and to the “English” language. For “Topics”, the following search equation was used: “model* AND (agri* or agro* or crop* or farm*) AND (landscape* OR watershed* OR (water NEAR catchment*)) AND (scenar* OR alternative*)”. This initial search yielded 1,975 hits. We then excluded papers based on article abstracts when they did not match our selection criteria, which were: (1) use of a model, i.e. a simplified representation of the system, as a tool to design or assess future agricultural landscape(s), (2) a focus on agricultural systems (including farming practices and/or agricultural organisation, explaining why we chose not to use “land use*” as a key word), (3) resolution at landscape scale (i.e. beyond the farm level) and (4) with outcomes on alternative agricultural systems (thus excluding papers focusing only on the effects of climate change). We also manually excluded general papers lacking a case study application, e.g. reviews without case study (12 papers) (Figure 1). Our final dataset thus comprised 514 individual papers. The json file (EMS_public.jon) presented here, based on a Zotero extraction and excluding proprietary data (e.g., abstracts), includes: article ID, title, journal, page, volume, issue, country, authors and year of publication. Data can be viewed with Firefox, Zotero, or with the R software, using the package jsonlite (Ooms, 2014). The R code, run with R 3.3.3 (Mac), was used to identify the optimal number of topics for our 514 papers dataset, and perform the LDA analyses (number of groups, top words, distribution of topics for each paper, etc.). Note that the full database (including abstracts) is necessary to run this code. Only a partial database is included here, as the full one includes proprietary data. The excel file (all.art.final.topics.Threshold_0.15.xls) displays the results of our LDA analysis, as provided by the R code on the 514 papers database. It includes: the article number (corresponding to the ID of EMS_public.json), the article title, the number of occurences of words related to Topics 2, 1, 4, and 3, the Best topic (considering a dominancy threshold of 0.15), and the year of publication. Reference Ooms, J., 2014. The jsonlite Package: a practical and consistent mapping between JSON Data and R objects. arXiv:1403.2805 [stat.CO] URL https://arxiv.org/abs/1403.2805 (accessed, December 2017).
DOI: 10.15454/cvzx7q
title: Future daily and annual thermal comfort of dairy cows and associated uncertainty

description: The thermal comfort of dairy cows was evaluated on the basis of the calculation of the temperature-humidity index (THI, calculated in 8 ways described in Dikmen and Hansen, 2009) and the attribution of a comfort class (no stress, mild stress, moderate stress, severe stress, emergency) according to the THI value and Collier et al. (2012) thresholds. To compute daily THI (provided in THI files), we used climatic data from two climate simulation exercises: Jouzel simulations (2014) and DRIAS simulations (2020), downloaded from the SICLIMA portal where only simulations from French laboratories are available. These climate simulation exercises provide daily climate variables from 1950 to 2100, on a spatial grid of 8 km side. In total, twelve climate simulations were considered, which correspond to the crossing of different global climate models (GCM), regional climate models (RCM) and representative concentration pathways (RCP). Daily average temperature and relative humidity were downloaded for four 30-year time horizons defined as: 'Reference': 1976-2005, 'H1': 2021-2050, 'H2': 2041-2070 and 'H3': 2071-2100. The indicator we used is the number of days per year that the animals are in each thermal comfort class (provided in D1 files). These number of days were then aggregated by simulation exercice, SAFRAN grid point, RCP and time horizon. Three types of aggregation (provided in D2 files) have been calculated corresponding to the median and the 5th and 95th percentiles of the distribution of these numbers of days according to the GCM and RCM of the simulation exercise and the 30 years of the considered time horizon. Maps (provided in D3 files) were generated for each of these aggregations and a shiny application was developed to allow the visualization of these maps. It is stored in the associated dataset "A shiny application to visualize the evolution of thermal comfort of dairy cows under climate change".
DOI: 10.15454/e6c05s
title: Genotyping data for ROH detection in pigs

description: Genotyping data for ROH detection in pigs.
DOI: 10.15454/eusw2j
title: Case Study Murals for sustainability assessment

description: For the development of the sustainability assessment framework in WP5, to gather information on sustainability challenges and potential hot spots in the six FAIRCHAIN Case Studies, a Mural was created for each case study. Each Mural contains identified potential hot spots linked to the current situation and to the new intermediate value chain, covering all three dimensions of sustainability (environmental, social, and economic sustainability). The Murals were used in the interaction with the case studies and were refined successively between 2021-03-11 and 2022-01--31
DOI: 10.15454/bnkfvc
title: Feeding and Grain-Legumes WoS DataSet 1980-2018

description: The text file corresponds to the search query capturing the main livestock feeding research theme on grain-legumes (both soya and pulses, see Species Grain-Legumes WoS dataset) 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"). Feeding theme refers to feeding practices and animal nutrition. 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/c1vvv9
title: Data collected in the context of process performance indicators

description: Data collected from partners and literature are summarized in the context of D2.4. They are used to monitor the process performance indicators
DOI: 10.15454/c3qy4b
title: Tree root elongation and mortality data from the French Alps

description: 4 year dataset of monthly measurements of tree root elongation and mortality
DOI: 10.15454/cac5cp
title: CIRCASA DELIVERABLE D1.2: “Main features and use cases of the knowledge information system”

description: This document gathers the requirements for the Knowledge Information System (Deliverable D1.4)