cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15454/q7vkt5/t5esbf
title: procs
DOI: 10.35078/drfidi/2f5qsd
title: José Luiz Pacheco E.jpg

description: :unav
DOI: 10.15454/q7vkt5/t5o0xr
title: format.ased
DOI: 10.15454/q7vkt5/tbnguh
title: procs
DOI: 10.35078/drfidi/iyphq0
title: Cenilo Oliveira A.jpg

description: :unav
DOI: 10.15454/q7vkt5/tds9tx
title: parm.txt
DOI: 10.15454/q7vkt5/te0tas
title: proc
DOI: 10.35078/drfidi/6gdpdh
title: Vacaria de Cima A.jpg

description: :unav
DOI: 10.15454/q7vkt5/tk8e3a
title: acqus
DOI: 10.15454/q7vkt5/tlisui
title: procs
DOI: 10.15454/q7vkt5/tmhd8m
title: outd
DOI: 10.35078/drfidi/xfsa60
title: Timóteo G. dos Santos A.jpg

description: :unav
DOI: 10.15454/q7vkt5/tn9thj
title: outd
DOI: 10.35078/drfidi/odp3ku
title: Funil B.jpg

description: :unav
DOI: 10.15454/q7vkt5/to5j1d
title: 1r
DOI: 10.15454/q7vkt5/tpfpzk
title: 1r
DOI: 10.35078/drfidi/o8976a
title: Martinha P. Santos C.jpg

description: :unav
DOI: 10.15454/q7vkt5/tr90nw
title: acqus
DOI: 10.35078/drfidi/mwaj0s
title: Edito Ferreira Santos C.jpg

description: :unav
DOI: 10.15454/q7vkt5/trgjxr
title: fid
DOI: 10.15454/q7vkt5/ttjhgc
title: proc
DOI: 10.35078/drfidi/cblroo
title: Domingos Gomes de Araújo A.jpg

description: :unav
DOI: 10.15454/q7vkt5/tw7gei
title: acqus
DOI: 10.15454/q7vkt5/tw8mih
title: auditp.txt
DOI: 10.35078/drfidi/fzfcbc
title: DICIONARIO_KARDEX_PROGRAMA_CONTROLE_DOENÇA_CHAGAS.pdf

description: Dicionário para interpretação da ficha epidemiologica (Kardex)
DOI: 10.15454/q7vkt5/twb74n
title: auditp.txt
DOI: 10.15454/q7vkt5/twmlli
title: procs
DOI: 10.15454/q7vkt5/txsfnn
title: auditp.txt
DOI: 10.15454/q7vkt5/u8engz
title: outd
DOI: 10.15454/q7vkt5/uaengc
title: fq1list
DOI: 10.15454/q7vkt5/ufeytu
title: audita.txt
DOI: 10.15454/q7vkt5/uftbbd
title: peaks
DOI: 10.15454/q7vkt5/ug2yhr
title: 1i
DOI: 10.15454/q7vkt5/uhsz7s
title: 1r
DOI: 10.15454/q7vkt5/uiglqy
title: auditp.txt
DOI: 10.15454/q7vkt5/umqjac
title: acqu
DOI: 10.15454/q7vkt5/umrb8r
title: 1i
DOI: 10.15454/q7vkt5/undswy
title: title
DOI: 10.15454/q7vkt5/uqqoa5
title: audita.txt
DOI: 10.15454/q7vkt5/usnnjq
title: shimvalues
DOI: 10.15454/q7vkt5/utg5k9
title: integrals.txt
DOI: 10.15454/q7vkt5/uwymdo
title: 1r
DOI: 10.15454/q7vkt5/uzclw7
title: auditp.txt
DOI: 10.15454/q7vkt5/uzqzf7
title: audita.txt
DOI: 10.15454/q7vkt5/uzuw4j
title: fid
DOI: 10.15454/q7vkt5/v0un80
title: scon2
DOI: 10.15454/q7vkt5/v7a9yo
title: scon2
DOI: 10.15454/q7vkt5/v8kp1f
title: shimvalues
DOI: 10.15454/q7vkt5/v8z1nz
title: peaks
DOI: 10.15454/q7vkt5/vavzik
title: fid
DOI: 10.15454/q7vkt5/vdmehn
title: outd
DOI: 10.15454/q7vkt5/ven13g
title: scon2
DOI: 10.15454/q7vkt5/vey4x3
title: fid
DOI: 10.15454/q7vkt5/vgjjmc
title: peakrng
DOI: 10.15454/q7vkt5/vhl1jo
title: 1r
DOI: 10.15454/q7vkt5/vhth6q
title: 1r
DOI: 10.15454/q7vkt5/vijevc
title: peaklist.xml
DOI: 10.15454/q7vkt5/vixcrp
title: acqu
DOI: 10.15454/q7vkt5/vj16le
title: intrng
DOI: 10.15454/q7vkt5/vjcx21
title: fid
DOI: 10.15454/q7vkt5/vm0962
title: peaklist.xml
DOI: 10.15454/q7vkt5/vnhpfg
title: auditp.txt
DOI: 10.15454/q7vkt5/vp4mkc
title: audita.txt
DOI: 10.15454/q7vkt5/vp9xzx
title: peaklist.xml
DOI: 10.15454/q7vkt5/vregb1
title: procs
DOI: 10.15454/q7vkt5/vrfy1e
title: scon2
DOI: 10.15454/q7vkt5/vvw115
title: fid
DOI: 10.15454/q7vkt5/vwpcss
title: proc
DOI: 10.15454/q7vkt5/w4ihwo
title: acqus
DOI: 10.15454/q7vkt5/w5iaij
title: acqus
DOI: 10.15454/q7vkt5/w85k7p
title: outd
DOI: 10.15454/q7vkt5/w8azxo
title: shimvalues
DOI: 10.15454/q7vkt5/wacnoo
title: fq1list
DOI: 10.15454/q7vkt5/wb3xfk
title: acqu
DOI: 10.15454/q7vkt5/wdpwbo
title: acqu
DOI: 10.15454/q7vkt5/wfpucm
title: acqu
DOI: 10.15454/q7vkt5/wfxwaf
title: proc
DOI: 10.15454/q7vkt5/wfzgdj
title: assocs
DOI: 10.15454/q7vkt5/whrmpe
title: peaks
DOI: 10.15454/q7vkt5/whvp2a
title: shimvalues
DOI: 10.15454/q7vkt5/wied4z
title: proc
DOI: 10.15454/q7vkt5/wj8kkq
title: scon2
DOI: 10.15454/q7vkt5/wjyghv
title: proc
DOI: 10.15454/q7vkt5/wmfzms
title: integrals.txt
DOI: 10.15454/q7vkt5/wrvy94
title: peaks
DOI: 10.15454/q7vkt5/wu8lw4
title: fid
DOI: 10.15454/q7vkt5/wv4mzj
title: auditp.txt
DOI: 10.15454/q7vkt5/wwoixi
title: shimvalues
DOI: 10.15454/q7vkt5/wz1yik
title: fid
DOI: 10.15454/q7vkt5/wzpnyj
title: parm.txt
DOI: 10.15454/q7vkt5/x38vne
title: fid
DOI: 10.15454/q7vkt5/x7iiik
title: outd
DOI: 10.15454/q7vkt5/x7rhch
title: acqus
DOI: 10.15454/q7vkt5/x8bwvg
title: acqu
DOI: 10.15454/q7vkt5/xbn9fu
title: peaks
DOI: 10.15454/q7vkt5/xfnczl
title: 1r
DOI: 10.15454/q7vkt5/xgsiyq
title: peaklist.xml
DOI: 10.15454/q7vkt5/xgy9e6
title: fid
DOI: 10.15454/q7vkt5/xicxci
title: scon2
DOI: 10.15454/q7vkt5/xjm4vx
title: procs
DOI: 10.15454/q7vkt5/xlluxn
title: peakrng
DOI: 10.15454/q7vkt5/xm1xko
title: proc
DOI: 10.15454/q7vkt5/xmx0fl
title: peaklist.xml
DOI: 10.15454/q7vkt5/xofggy
title: fid
DOI: 10.15454/q7vkt5/xrdegn
title: audita.txt
DOI: 10.15454/q7vkt5/xrirtr
title: integrals.txt
DOI: 10.15454/q7vkt5/xvdpqk
title: integrals.txt
DOI: 10.15454/q7vkt5/xw4nek
title: peaklist.xml
DOI: 10.15454/q7vkt5/xwa2z1
title: proc
DOI: 10.15454/q7vkt5/xykcii
title: outd
DOI: 10.15454/q7vkt5/ybg06w
title: outd
DOI: 10.15454/q7vkt5/yccvwz
title: auditp.txt
DOI: 10.15454/q7vkt5/yd05mj
title: proc
DOI: 10.15454/q7vkt5/yha285
title: proc
DOI: 10.15454/q7vkt5/yhu6wo
title: fid
DOI: 10.15454/q7vkt5/ykbswh
title: proc
DOI: 10.15454/q7vkt5/ylrxqo
title: acqus
DOI: 10.15454/q7vkt5/yotj9n
title: auditp.txt
DOI: 10.15454/q7vkt5/ysbabg
title: fid
DOI: 10.15454/q7vkt5/yvwjly
title: 1i
DOI: 10.15454/q7vkt5/ywnxfv
title: outd
DOI: 10.15454/q7vkt5/z2vuwg
title: fid
DOI: 10.15454/q7vkt5/zbjqbz
title: proc
DOI: 10.15454/q7vkt5/zfopgu
title: acqus
DOI: 10.15454/q7vkt5/zg9bpc
title: acqus
DOI: 10.15454/q7vkt5/zh1vul
title: proc
DOI: 10.15454/q7vkt5/zi0nfy
title: 1i
DOI: 10.15454/q7vkt5/ziwh7t
title: shimvalues
DOI: 10.15454/q7vkt5/zj3lus
title: thumb.png
DOI: 10.15454/q7vkt5/zlem5v
title: peaks
DOI: 10.15454/q7vkt5/zn5mui
title: acqu
DOI: 10.15454/q7vkt5/zqppku
title: integrals.txt
DOI: 10.15454/q7vkt5/zrslbk
title: scon2
DOI: 10.7284/137024
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise PS1910 using a Hawaii UHDAS instrument system onboard the platform RV Point Sur

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.15454/q7vkt5/zvgjea
title: shimvalues
DOI: 10.15454/q7vkt5/zxbkdx
title: Impact_of_oxidative_stress_on_Pseudomonas_Graminis-NMR_dataset.nozip

description: After download, please change the nozip file extension to zip and use your favorite unzip software.
DOI: 10.15454/q7vkt5/zyoijg
title: parm.txt
DOI: 10.7284/137029
title: Fluorometer data collected during research cruise PS1910 using a Turner 10-AU instrument system onboard the platform RV Point Sur

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.15454/q7vkt5/zyqpp8
title: popt.array
DOI: 10.15454/q7vkt5/zzie6x
title: 1r
DOI: 10.7284/137030
title: GNSS (Global Navigation Satellite System) data collected during research cruise PS1910 using a Trimble BX982 instrument system onboard the platform RV Point Sur

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/137031
title: GNSS (Global Navigation Satellite System) data collected during research cruise PS1910 using a Trimble SPS351 instrument system onboard the platform RV Point Sur

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.15454/qbnhad/ucbbzw
title: Data_Paper_Berger-1.tab

description: :unav
DOI: 10.15454/qbqfcx/3x08tc
title: DataSet_UT_species.tab
DOI: 10.15454/qbqfcx/6yrezh
title: Species_GrainLegumes_WoS_Query.txt

description: Search query applied on the WoS
DOI: 10.7284/137026
title: Gyrocompass data collected during research cruise PS1910 using a Sperry MK-37 instrument system onboard the platform RV Point Sur

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/137027
title: Meteorological Station data collected during research cruise PS1910 using a RM Young 92000 instrument system onboard the platform RV Point Sur

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.15454/qckbkf/5eevhn
title: C6A8h24.las

description: :unav
DOI: 10.15454/qckbkf/e7phau
title: C6E9h09.las

description: :unav
DOI: 10.15454/qckbkf/gky9gh
title: C6E9h30.las

description: :unav
DOI: 10.7284/137028
title: Meteorological Station data collected during research cruise PS1910 using a RM Young 92000 instrument system onboard the platform RV Point Sur

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.15454/qckbkf/uo3sag
title: C6A7h36.las

description: :unav
DOI: 10.15454/qedx2v/0axtdj
title: 2_genetic_mapping_functions.R

description: This R script contains three useful functions for genetic map building. The first one is 'GenoClass2GeneDose" that convert genotypic class in "abxcd" format into gene-dose. The second one is 'GeneMappingOutlierFiltering" which detects outlying markers according to their physical and genetic position. The third one is 'flip_chromosome' which returns the chromosome direction. These fonctions are used in "create_genetic_map_lepmap_SxG.Rmd"
DOI: 10.15454/qedx2v/9zn5p6
title: 4_SxG_GBS_genedose.tsv

description: Text file with genotypes coded in biallelic additive gene doses (0,1,2) for the 188 offsprings and the 3,961 markers mapped on the consensus genetic map. The 3,961 fully-informative markers (abxcd segregation) without missing data from the "SxG_GBS.loc" file were numerically recoded into biallelic additive doses according to the initial biallelic segregation (in the vcf file) and to the phase (available in « 1_SxG-SNP-clean-phased-markers.tab »), with the "3_analyse_map_quality.Rmd" script.
DOI: 10.7284/137032
title: TSG (Thermosalinograph) data collected during research cruise PS1910 using a Sea-Bird SBE-21 instrument system onboard the platform RV Point Sur

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.15454/qedx2v/awnvse
title: 0_ReadMe.html

description: This document describes the input files, scripts and output files generated for SNP genotypic data in Syrah x Grenache bi-parental population publication and is in html format.
DOI: 10.15454/qedx2v/bt5u9w
title: map_step4.sh

description: Bash script used for submitting the job on the SGE cluster with "OrderMarkers2" function from Lep-MAP3, during the "2_create_genetic_map_lepmap.Rmd" script. It performed the last (fourth) ordering of markers, computed for each chromosome separately and repeated 20 times. Markers which were uncorrectly assigned to a chromosome, outliers from the first and second filtering steps and markers at the same genetic position were removed. Then, within each chromosome, the marker order with the highest likelihood was kept.
DOI: 10.15454/qedx2v/ekppd0
title: map_step3.sh

description: Bash script used for submitting the job on the SGE cluster with "OrderMarkers2" function from Lep-MAP3, during the "2_create_genetic_map_lepmap.Rmd" script. It performed the third ordering of markers, computed for each chromosome separately and repeated 10 times. Markers which were uncorrectly assigned to a chromosome and outliers from the first and second filtering steps were removed. Then, within each chromosome, the marker order with the highest likelihood was kept.
DOI: 10.15454/qedx2v/kodxx3
title: 2_conversion_table_SxG-geno-names.tab

description: This table contains 2 columns: "geno" with genotype names that we use for phenotypic anaysis and "clone.acc.code" which is the clone accession code, defined by the official identifiers from the RFCV database (Réseau Français des Conservatoires de Vigne, https://bioweb.supagro.inra.fr/collections_vigne/Home.php).
DOI: 10.15454/qedx2v/ktveuf
title: 4_SxG_GBS.loc

description: Text file with genotypes in Joinmap format, for the 188 offsprings and the 3,961 markers mapped on the Syrah x Grenache consensus genetic map produced with "2_create_genetic_map_lepmap_SxG.Rmd" and checked with "3_analyse_map_quality.Rmd". Segregation type is "abxab" for all markers. The first column is the marker name (formatted as chromosome_physical-position), the second one is the segregation type, the third one is the phase, and the remaining columns are genotypic classes at this marker for each offspring. Offsprings are ordered according to "SxG_GBS.qua" file.
DOI: 10.15454/qedx2v/mdajnb
title: 0_ReadMe.md

description: This document describes the input files, scripts and output files generated for SNP genotypic data in Syrah x Grenache bi-parental population publication and is in markdown format.
DOI: 10.15454/qedx2v/mucqcp
title: map_step2.sh

description: Bash script used for submitting the job on the SGE cluster with "OrderMarkers2" function from Lep-MAP3, during the "2_create_genetic_map_lepmap.Rmd" script. It performed the second ordering of markers, computed for each chromosome separately and repeated 5 times. Markers which were uncorrectly assigned to a chromosome and outliers from the first filtering step were removed. Then, within each chromosome, the marker order with the highest likelihood was kept.
DOI: 10.15454/qedx2v/o84ffw
title: 1_FruitSelGen-grape-VITVI-PN40024-12x-v2-montpellier_SxG_raw-snps_gatk-filter_fimpute_filter-mendel_filter-segreg.vcf

description: Text file with genotypes in vcf format, for 188 offsprings + 2 parents + 2 grand-parents and 17,298 SNP markers, obtained as follows. Genotyping was done by sequencing after genomic reduction, using RAD-sequencing technology with ApeKI restriction enzyme (Elshire et al, 2011), as described in Flutre et al (2020). Keygene N.V. owns patents and patent applications protecting its Sequence Based Genotyping technologies. SNP and genotype calling were performed using GATK (DePristo et al, 2011) after sequence reads were mapped with BWA (Li, 2013) onto the PN40024 12X.v2 reference sequence (Canaguier et al, 2017). A first filtering was applied, to discard indels, keep only bi-allelic SNPs without Mendelian violations, set as missing SNP genotypes with less than 10 reads or quality below 20, and discard SNPs with more than 30% missing data. This yielded a final number of 17,298 SNPs. Imputation was performed with FImpute (Sargolzaei et al, 2014).
DOI: 10.15454/qedx2v/ql5kto
title: 4_SxG_GBS.qua

description: Text file with a single fake phenotype in Joinmap format, produced with "2_create_genetic_map_lepmap_SxG.Rmd" for running R/qtl.
DOI: 10.15454/qedx2v/qmiqnt
title: 1_SxG-SNP-clean-phased-markers.tab

description: Text file with cleaned markers, phase and segregation in Joinmap format, for the 15,434 SNP markers left after removing those unlinked with Carthagene. Columns are: SNP marker, segregation type and phase. To remove unlinked markers (1,864 markers), we performed parental and consensus grouping with Carthagene (de Givry et al, 2005) as in Tello et al. (2019), with a LOD threshold of 8 and a distance threshold of 30 cM.
DOI: 10.15454/qedx2v/tuzjeb
title: map_step1.sh

description: Bash script used for submitting the job on the SGE cluster with "OrderMarkers2" function from Lep-MAP3, during the "2_create_genetic_map_lepmap.Rmd" script. It performed the first ordering of markers, computed for each chromosome separately and repeated 5 times. Markers which were uncorrectly assigned to a chromosome were removed. Then, within each chromosome, the marker order with the highest likelihood was kept.
DOI: 10.15454/qedx2v/v6so6u
title: 2_create_genetic_map_lepmap_SxG.Rmd

description: R and bash script that we used to produce the Syrah x Grenache consensus genetic map with Lep-MAP3 (Rastas et al., 2017), from the SNP data filtered by grouping with Carthagene. It takes as inputs the cleaned vcf file and the pedigree file produced with «create_files_for_lepmap.Rmd». Highly distorted and non-informative markers were removed (parameters removeNonInformative=1 and dataTolerance=0.001). Then markers were separated into 19 linkage groups with SeparateChromosome2 function, with a LOD threshold of 25 and a minimum marker number of 100. Singular markers were assigned to linkage groups with JoinSingles2All function. Markers assigned to wrong linkage groups according to their physical position were removed (7 markers). We applied the ordering function OrderMarkers2 5 or 10 times for each linkage group and kept the replicate with the largest likelihood. We performed a local polynomial regression (loess) of the genetic distance on the physical distance (span=0.8) to detect and remove markers with outlying genetic positions, e.g., markers far from others and not in the sigmoid shape (+/- 40 SE). These ordering and outlier detection steps were run 3 times (bash scripts "map_step1.sh", "map_step2.sh" and "map_step3.sh" given below). Duplicated markers with the same segregation were removed and a last ordering step was done (see bash script "map_step4.sh" given below) in order to produce the "SxG_GBS_lepmap_raw.map" (then, linkage group names need to be added in order to generate "SxG_GBS_lepmap.map") and "SxG_GBS_lepmap.loc" files with 3,964 markers. A "SxG_GBS.qua" file (given below) with a single fake phenotype was also produced for use in "3_analyse_map_quality.Rmd"
DOI: 10.15454/qedx2v/vt6gor
title: 1_create_files_for_lepmap.Rmd

description: R script that we used to produce the cleaned vcf file and the pedigree file needed to run the « 2_create_genetic_map_lepmap_SxG.Rmd » script. It takes as inputs the « 1_FruitSelGen-grape-VITVI-PN40024-12x-v2-montpellier_SxG_raw-snps_gatk-filter_fimpute_filter-mendel_filter-segreg.vcf » and the « 1_SxG-SNP-clean-phased-markers.tab » files given below.
DOI: 10.15454/qedx2v/w7znof
title: 4_SxG_GBS.map

description: Text file in Joinmap format with the Syrah x Grenache consensus genetic map comprised of 3,961 markers, produced with "2_create_genetic_map_lepmap_SxG.Rmd" and checked with "3_analyse_map_quality.Rmd".
DOI: 10.15454/qedx2v/zgu8w5
title: 3_analyse_map_quality.Rmd

description: R script that we used to produce different statistical tests and diagnostic plots to check map quality. It takes as input the 3 files created with "2_create_genetic_map_lepmap_SxG.Rmd" ("SxG_GBS_lepmap.loc", "SxG_GBS_lepmap.map", "SxG_GBS.qua"). Map quality was analyzed with R/qtl functions (Broman et al. 2003): droponemarker for dropping one marker at a time and rf for plotting two-point recombination fractions and LOD scores. Genotyping error rate was also estimated. We had to remove three outlier markers by hand because they were on the Unknown chromosome. The resulting map had 3,961 fully-informative markers (abxcd segregation) without missing data. This script produces 2 output files: "SxG_GBS.loc" and "SxG_GBS_lepmap_v2.map" (which also need to be modified by hand in order to generate "SxG_GBS.map").
DOI: 10.15454/qei1oo/51oddp
title: BaseTraits.pdf

description: Description du jeu de données et des variables
DOI: 10.15454/qei1oo/lvo73i
title: BaseTraits.tab

description: Fichier de données au format .csv
DOI: 10.15454/qei1oo/tntvpl
title: BaseTraits-1.tab

description: Classeur Excel
DOI: 10.15454/qfuiil/fnf1sb
title: rpg_complete_2019_d72.zip

description: :unav
DOI: 10.15454/qkwvnd/vzxfqn
title: rpg_complete_2019_d91.zip

description: :unav
DOI: 10.15454/qle7ea/6bwjue
title: Compo_chimique_DIGZ_Ligneux.xlsx

description: teneurs en matière sèche (TMS), matières minérales (MM), matières azotées totales (MAT), fibres NDF-ADF-ADL, tanins condensés (TANc) et digestibilité in vitro de la matière sèche (DIGz)
DOI: 10.15454/qle7ea/h6d8cm
title: Compo_chimique_DIGZ_Ligneux.xlsx

description: teneurs en matière sèche (TMS), matières minérales (MM), matières azotées totales (MAT), fibres NDF-ADF-ADL, tanins condensés (TANc) et digestibilité in vitro de la matière sèche (DIGz)
DOI: 10.15454/qle7ea/omcwyo
title: Compo_mineraux_Ligneux.xlsx

description: teneurs en minéraux (P, Ca, Mg, Na, K, Cu, Fe, Mn, Zn)
DOI: 10.15454/qle7ea/viost6
title: Compo_mineraux_Ligneux-1.xlsx

description: teneurs en minéraux (P, Ca, Mg, Na, K, Cu, Fe, Mn, Zn)
DOI: 10.15454/qmzjku/iappeg
title: GISCOOP_CASTILLONVILLE9233M3_pla33_1992-2013.tab
DOI: 10.15454/qmzjku/n77sr2
title: ISLANDES_BOULEAU_2012.xls
DOI: 10.15454/qmzjku/nc1lrr
title: GISCOOP_CASTILLONVILLE9233M3_pla32_1992-2013.tab
DOI: 10.15454/qoor15/gr1cse
title: rpg_complete_2019_d03.zip

description: :unav
DOI: 10.15454/qqdalg/0hxruw
title: comparaison_modeles.csv

description: :unav
DOI: 10.15454/qqdalg/45iaot
title: cordata.tab

description: correlation dataset
DOI: 10.15454/qqdalg/fuymjv
title: graph_phéno.png

description: :unav
DOI: 10.15454/qqdalg/os4ia2
title: grenache_near1sep.RData

description: :unav
DOI: 10.15454/qqdalg/rzuzfv
title: grenache_proche1sep_ic.RData

description: :unav
DOI: 10.15454/qqdalg/xa24gv
title: grenache_ic_recolte.RData

description: :unav
DOI: 10.15468/dl.kf38bm
title: Occurrence Download

description: A dataset containing 25689 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Diabrotica undecimpunctata Mannerheim, 1843",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 25689 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084927-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gntrrh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Geocrinia alba Wardell-Johnson & Roberts, 1989)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084930-240626123714530/datasets/export for details.
DOI: 10.15468/dl.ytkcrg
title: Occurrence Download

description: A dataset containing 229 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leia bilineata (Winnertz, 1863)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 229 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084932-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r67jdg
title: Occurrence Download

description: A dataset containing 3987 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fraxinus velutina Torr."
 ]
}

 The dataset includes 3987 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084933-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tcapfv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Craspedaria delphinuloides (R.T.Lowe, 1860))",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084935-240626123714530/datasets/export for details.