cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15454/bicrfx/7b5utk
title: diallel_wood_2021.zip

description: This directory contains all spectra collected on half-diallel wood samples in 2021. Spectra are splitted in two files, one for each block. The correspondence between spectrum number and genotype information is in `tableau manip NIRS-bois_2021.xlsx` table.
DOI: 10.15454/bicrfx/7tszdr
title: diallel_layout_coord.tab

description: This table provides field coordinates of half-diallel trial in Villeneuve-lès-Maguelone.
DOI: 10.15454/bicrfx/8fdm8l
title: gpp3mat.sh

description: This is a bash script associated with `GP-PP_intra-pop_pred_3mat-lme4GS` for launching several scripts in a SLURM cluster.
DOI: 10.15454/bicrfx/8jjvzl
title: extract_BLUPs-genocross_spectra_lme4.Rmd

description: This script takes as input `nirs_all-pre-process_diallel-p279_common-genos.Rdata`, and all spectra averaged at plot level such as `wood_diallel_2020_nirs-list-2-blocks.Rdata`. It applies different mixed models, combining one or several years and one or several tissues, for each population. For each model tested, it generates three files: one with spectra BLUP, one with heritability along the wavelengths, and variance components along the wavelengths. Genetic effect was modelled with genotype and cross effects, these effects were summed to constitute spectra BLUPs.
DOI: 10.15454/bicrfx/9yan1e
title: results_GPP.3mat-lme4GS_diallel.cross_15-traits.tab

description: This table recapitulates genomic-phenomic prediction results using three matrices with lme4GS method for half-diallel population from "GP-PP_intra-pop_pred_3mat-lme4GS.Rmd" script.
DOI: 10.15454/bicrfx/awy7mu
title: study_coinertia_geno_rel-matrices.Rmd

description: This script takes as input marker data from both diversity panel and half-diallel populations: `geno-p279_formated.tsv` and `geno-diallel_formated.tsv`; genotypic values from both populations: `BLUPs-p279_formated-scaled.tsv` and `BLUPs-diallel_formated-scaled.tsv`; spectra BLUPs from the script `extract_BLUPs-geno_spectra_lme4.Rmd`. It computes PCA analysis for a given year and pre-process and save PCA components.
DOI: 10.15454/bicrfx/bb1gvk
title: GP-PP_intra-pop_pred_lme4GS.Rmd

description: This script is associated with `gpp.sh` bash script for launching genomic or phenomic prediction for all modalities: six pre-processes, two tissues, three years and two populations. It takes as input genotypic values for the 15 traits studied (`BLUPs-p279_formated-scaled.tsv` or `BLUPs-diallel_formated-scaled.tsv`) and marker or phenomic data. Results for all modalities are saved separately in a common directory.
DOI: 10.15454/bicrfx/c5huqq
title: wood_spectrum_pre-process_p279_2020.Rmd

description: This script takes as input `p279_wood_2020`, `tableau manip NIRS-bois_final.xlsx`, `origin_CC279.xlsx` and `ids_279.xlsx`. It applies corrections (remove of jump, cut at the end of the spectrum), and pre-processes for the diversity panel population and 2020 wood spectra. It generates a file containing all pre-process spectra at plot level: `wood_p279_2020_nirs-list-2-blocks.Rdata` and spectra at genotype level: `wood_p279_2020_all_spectra.Rdata`.
DOI: 10.15454/bicrfx/dasu3o
title: extract_BLUPs-geno_spectra_lme4.Rmd

description: This script takes as input `nirs_all-pre-process_diallel-p279_common-genos.Rdata`, and all spectra averaged at plot level such as `wood_diallel_2020_nirs-list-2-blocks.Rdata`. It applies different mixed models, combining one or several years and one or several tissues, for each population. For each model tested, it generates three files: one with spectra BLUP, one with heritability along the wavelengths, and variance components along the wavelengths. Genetic effect was modelled with a genotype effect, i.e., no information about cross or subpopulation was added in the model.
DOI: 10.15454/bicrfx/dtjbjc
title: ortho.nirs.R

description: This is a R-script containing ortho.nirs function for computing orthogonalization of NIRS data, using REP-ASCA method.
DOI: 10.15454/bicrfx/eljsnu
title: tableau manip NIRS-feuille_2021.xlsx

description: This table makes the correspondence between spectrum number for leaf tissue and 2021 and genotype information (genotype name, block, coordinates in the field).
DOI: 10.15454/bicrfx/erxt8a
title: diallel_wood_2020_all.zip

description: This directory contains all spectra collected on half-diallel wood samples in 2020. This directory contains two sub-directories with original wood spectra and remade wood spectra for one block. The correspondence between spectrum number and genotype information is in "tableau manip NIRS-bois_2021.xlsx" table, in "Diallel-blocB-2020" sheet and in ."tableau manip NIRS-bois_final.xlsx" table.
DOI: 10.15454/bicrfx/f70owv
title: leaves_spectrum_pre-process_diallel_2021.Rmd

description: This script takes as input `diallel_leaves_2021` and `tableau manip NIRS-feuille_2021.xlsx`. It applies corrections (remove of jump, cut at the end of the spectrum, remove outlier spectra, average the four spectra per plot), and pre-processes for the half-diallel population and 2021 leaves spectra. It generates a file containing all pre-process spectra at plot level: `leaves_diallel_2021_nirs-list-2-blocks.Rdata` and spectra at genotype level: `leaves_diallel_2021_all_spectra.Rdata`.
DOI: 10.15454/bicrfx/fadc0d
title: wood_spectrum_pre-process_diallel_2020.Rmd

description: This script takes as input `diallel_wood_2020` and `tableau manip NIRS-bois_final.xlsx`. It applies corrections (remove of jump, cut at the end of the spectrum, remove outlier spectra, average the four spectra per plot), and pre-processes for the half-diallel population and 2020 wood spectra. It generates a file containing all pre-process spectra at plot level: `wood_diallel_2020_nirs-list-2-blocks.Rdata` and spectra at genotype level: `wood_diallel_2020_all_spectra.Rdata`.
DOI: 10.15454/bicrfx/fgeojn
title: GP-PP_intra-pop_pred_3mat-lme4GS.Rmd

description: This script is associated with `gpp3mat.sh` for launching multi-matrix predictions for with three variance-covariance matrices for different modalities: SNPs + wood NIRS + leaf NIRS. It takes as input genotypic values for the 15 traits studied (`BLUPs-p279_formated-scaled.tsv` or `BLUPs-diallel_formated-scaled.tsv`), marker and phenomic data. Results for all modalities are saved separately in a common directory.
DOI: 10.15454/bicrfx/flwisp
title: 0_ReadMe.md

description: :unav
DOI: 10.15454/bicrfx/fsenjg
title: results_GPP.2mat-lme4GS_diallel.cross_15-traits.tab

description: This table recapitulates genomic and phenomic prediction results using two matrices with lme4GS method for half-diallel population from "GP-PP_intra-pop_pred_2mat-lme4GS.Rmd" script.
DOI: 10.15454/bicrfx/fu7lqt
title: p279_leaves_2020.zip

description: This directory contains all spectra collected on diversity panel leaf samples in 2020. The correspondence between spectrum number and genotype information is in `tableau manip NIRS-feuilles_final.xlsx` table.
DOI: 10.15454/bicrfx/gdn37b
title: extract_BLUPs-genocross-geno_spectra_lme4.Rmd

description: This script takes as input `nirs_all-pre-process_diallel-p279_common-genos.Rdata`, and all spectra averaged at plot level such as `wood_diallel_2020_nirs-list-2-blocks.Rdata`. It applies different mixed models, combining one or several years and one or several tissues, for each population. For each model tested, it generates three files: one with spectra BLUP, one with heritability along the wavelengths, and variance components along the wavelengths. Genetic effect was modelled with genotype and cross effects, but only genotype effect was used to constitute spectra BLUPs.
DOI: 10.15454/bicrfx/gtxngq
title: diallel_leaves_2020.zip

description: This directory contains all spectra collected on half-diallel leaf samples in 2020. Spectra are splitted in two files, one for each block. The correspondence between spectrum number and genotype information is in `tableau manip NIRS-feuilles_final.xlsx` table.
DOI: 10.15454/bicrfx/jqsdub
title: tableau manip NIRS-bois_final.xlsx

description: This table makes the correspondence between spectrum number for wood tissue and 2020 and genotype information (genotype name, block, coordinates in the field).
DOI: 10.15454/bicrfx/jxtip4
title: results_GP-PP.1mat-lme4GS_p279.subpop_15-traits.tab

description: This table recapitulates genomic and phenomic prediction results using one matrix with glmnet method for diversity panel population from "GP-PP_intra-pop_pred_glmnet.Rmd" script.
DOI: 10.15454/bicrfx/k2jj9z
title: study_multi-year-coinertia_rel-matrices.Rmd

description: This script takes as input PCA outputs generated in the three previous scripts coinertia analysis. It computes co-inertia analysis for different years, BLUP models and for both populations. It generates Figure 2, Figure S2 and S3.
DOI: 10.15454/bicrfx/l4zflm
title: study_coinertia_genocross-geno_rel-matrices.Rmd

description: This script takes as input marker data from both diversity panel and half-diallel populations: `geno-p279_formated.tsv` and `geno-diallel_formated.tsv`; genotypic values from both populations: `BLUPs-p279_formated-scaled.tsv` and `BLUPs-diallel_formated-scaled.tsv`; spectra BLUPs from the script `extract_BLUPs-genocross-geno_spectra_lme4.Rmd`. It computes PCA analysis for a given year and pre-process and save PCA components.
DOI: 10.15454/bicrfx/ldt8hy
title: tableau manip NIRS-bois_2021.xlsx

description: This table makes the correspondence between spectrum number for wood tissue and 2021 and genotype information (genotype name, block, coordinates in the field).
DOI: 10.15454/bicrfx/lge4g4
title: half-diallel_analysis_functions.R

description: This is a R-script gathering useful functions for half-diallel analysis.
DOI: 10.15454/bicrfx/lvkrj1
title: leaves_spectrum_pre-process_p279_2021.Rmd

description: This script takes as input `p279_leaves_2021`, `tableau manip NIRS-feuilles_final.xlsx`, `origin_CC279.xlsx` and `ids_279.xlsx`. It applies corrections (remove of jump, cut at the end of the spectrum), and pre-processes for the diversity panel population and 2021 leaves spectra. It generates a file containing all pre-process spectra at plot level: `leaves_p279_2021_nirs-list-2-blocks.Rdata` and spectra at genotype level: `leaves_p279_2021_all_spectra.Rdata`.
DOI: 10.15454/bicrfx/mv6rcj
title: wood_spectrum_pre-process_diallel_2020.Rmd

description: This script takes as input `diallel_wood_2020_all` and `tableau manip NIRS-bois_final.xlsx`. It applies corrections (remove of jump, cut at the end of the spectrum, remove outlier spectra, average the four spectra per plot), and pre-processes for the half-diallel population and 2020 wood spectra. It generates a file containing all pre-process spectra at plot level: `wood_diallel_2020_nirs-list-2-blocks.Rdata` and spectra at genotype level: `wood_diallel_2020_all_spectra.Rdata`.
DOI: 10.15454/bicrfx/n2979d
title: GP-PP_intra-pop_pred_glmnet.Rmd

description: This script is associated with `gpp.sh` bash script for launching genomic or phenomic prediction for all modalities: six pre-processes, two tissues, three years and two populations. It takes as input genotypic values for the 15 traits studied (`BLUPs-p279_formated-scaled.tsv` or `BLUPs-diallel_formated-scaled.tsv`) and marker or phenomic data. Results for all modalities are saved separately in a common directory.
DOI: 10.15454/bicrfx/nnabpd
title: PS_functions.R

description: This is a R-script containing useful functions to read ASD files from spectrometer.
DOI: 10.15454/bicrfx/nsof7m
title: prelim-analysis_results_phenom-pred.Rmd

description: This script takes as input results of phenomic and genomic predictions. It compares rrBLUP and GBLUP/HBLUP methods, as well as using base or BLUP spectra. It generates the Figure 3 and S6.
DOI: 10.15454/bicrfx/oadf2p
title: study_coinertia_genocross_rel-matrices.Rmd

description: This script takes as input marker data from both diversity panel and half-diallel populations: `geno-p279_formated.tsv` and `geno-diallel_formated.tsv`; genotypic values from both populations: `BLUPs-p279_formated-scaled.tsv` and `BLUPs-diallel_formated-scaled.tsv`; spectra BLUPs from the script `extract_BLUPs-genocross_spectra_lme4.Rmd`. It computes PCA analysis for a given year and pre-process and save PCA components.
DOI: 10.15454/bicrfx/ouikv9
title: p279_wood_2020.zip

description: This directory contains all spectra collected on diversity panel wood samples in 2020. The correspondence between spectrum number and genotype information is in `tableau manip NIRS-bois_final.xlsx` table.
DOI: 10.15454/bicrfx/pitffc
title: diallel_wood_2020.zip

description: This directory contains all spectra collected on half-diallel wood samples in 2020. The correspondence between spectrum number and genotype information is in `tableau manip NIRS-bois_final.xlsx` table.
DOI: 10.15454/bicrfx/r8fwhe
title: results_GP-PP.1mat-lme4GS_diallel.cross_15-traits.tab

description: This table recapitulates genomic and phenomic prediction results using one matrix with lme4GS method for half-diallel population from "GP-PP_intra-pop_pred_lme4GS.Rmd" script.
DOI: 10.15454/bicrfx/rvfvzh
title: analyze_genom-phenom-pred_results.Rmd

description: This script takes as input results of phenomic and genomic predictions. It combines these results and save them into tables: `results_GP-PP.1mat-RR-glmnet_p279.subpop_15-traits.tsv`, `results_GP-PP.1mat-RR-glmnet_diallel.cross_15-traits.tsv`, `results_GPP.2mat-lme4GS_p279.subpop_15-traits.tsv`, `results_GPP.2mat-lme4GS_diallel.cross_15-traits.tsv`, `results_GPP.3mat-lme4GS_p279.subpop_15-traits.tsv` and `results_GPP.3mat-lme4GS_diallel.cross_15-traits.tsv`. It compares phenomic prediction modalities (pre-processes, tissues, years) and generates Figure S4.
DOI: 10.15454/bicrfx/sgaol5
title: wood_spectrum_pre-process_diallel_2021.Rmd

description: This script takes as input `diallel_wood_2021` and `tableau manip NIRS-bois_2021.xlsx`. It applies corrections (remove of jump, cut at the end of the spectrum, remove outlier spectra, average the four spectra per plot), and pre-processes for the half-diallel population and 2021 wood spectra. It generates a file containing all pre-process spectra at plot level: `wood_diallel_2021_nirs-list-2-blocks.Rdata` and spectra at genotype level: `wood_diallel_2021_all_spectra.Rdata`.
DOI: 10.15454/bicrfx/sgjuc9
title: origin_CC279.tab

description: This table classifies diversity panel genotypes into the three subpopulations: WW (wine west), WE (wine east) and TE (table east), based on both the original SSR classification by Nicolas et al. 2016 and the SNP classification by Flutre et al. 2020.
DOI: 10.15454/bicrfx/suej28
title: wood_spectrum_pre-process_p279_2021.Rmd

description: This script takes as input `p279_wood_2021`, `tableau manip NIRS-bois_2021.xlsx`, `origin_CC279.xlsx` and `ids_279.xlsx`. It applies corrections (remove of jump, cut at the end of the spectrum), and pre-processes for the diversity panel population and 2021 wood spectra. It generates a file containing all pre-process spectra at plot level: `wood_p279_2021_nirs-list-2-blocks.Rdata` and spectra at genotype level: `wood_p279_2021_all_spectra.Rdata`.
DOI: 10.15454/bicrfx/tdenbi
title: 0_ReadMe.html

description: :unav
DOI: 10.15454/bicrfx/tnyw6l
title: compare_genom-phenom-pred_results.Rmd

description: This script takes as input the tables `results_GP-PP.1mat-RR-glmnet_p279.subpop_15-traits.tsv`, `results_GP-PP.1mat-RR-glmnet_diallel.cross_15-traits.tsv`, `results_GPP.2mat-lme4GS_p279.subpop_15-traits.tsv`, `results_GPP.2mat-lme4GS_diallel.cross_15-traits.tsv`, `results_GPP.3mat-lme4GS_p279.subpop_15-traits.tsv` and `results_GPP.3mat-lme4GS_diallel.cross_15-traits.tsv`. It generates the Figure 5, 6, S7 and S8.
DOI: 10.15454/bicrfx/tqwso4
title: get_colours_diallel.R

description: This is a small R-script with a function defining a specific color for each half-diallel cross, panel subpopulation and half-diallel parent.
DOI: 10.15454/bicrfx/veov96
title: GP-PP_intra-pop_pred_2mat-lme4GS.Rmd

description: This script is associated with `gpp2mat.sh` for launching multi-matrix predictions for with two variance-covariance matrices for different modalities: SNPs + wood NIRS, SNPs + leaf NIRS or wood NIRS + leaf NIRS. It takes as input genotypic values for the 15 traits studied (`BLUPs-p279_formated-scaled.tsv` or `BLUPs-diallel_formated-scaled.tsv`) and marker or phenomic data. Results for all modalities are saved separately in a common directory.
DOI: 10.15454/bicrfx/w8c0ni
title: tableau manip NIRS-feuilles_final.xlsx

description: This table makes the correspondence between spectrum number for leaf tissue and 2020 and genotype information (genotype name, block, coordinates in the field).
DOI: 10.15454/bicrfx/whbfes
title: leaves_spectrum_pre-process_p279_2020.Rmd

description: This script takes as input `p279_leaves_2020`, `tableau manip NIRS-feuilles_final.xlsx`, `origin_CC279.xlsx` and `ids_279.xlsx`. It applies corrections (remove of jump, cut at the end of the spectrum), and pre-processes for the diversity panel population and 2020 leaves spectra. It generates a file containing all pre-process spectra at plot level: `leaves_p279_2020_nirs-list-2-blocks.Rdata` and spectra at genotype level: `leaves_p279_2020_all_spectra.Rdata`.
DOI: 10.15454/bicrfx/wm9l6e
title: results_GPP.3mat-lme4GS_p279.subpop_15-traits.tab

description: This table recapitulates genomic-phenomic prediction results using three matrices with lme4GS method for diversity panel population from "GP-PP_intra-pop_pred_3mat-lme4GS.Rmd" script.
DOI: 10.15454/bicrfx/wnhap4
title: computeRV.r

description: This is a R-script containing the function computeRV which calculates the RV coefficient from two matrices.
DOI: 10.15454/bicrfx/xxximx
title: diallel_leaves_2021.zip

description: This directory contains all spectra collected on half-diallel leaf samples in 2021. Spectra are splitted in two files, one for each block, and one supplementary file for spectra that have been remade. The correspondence between spectrum number and genotype information is in `tableau manip NIRS-feuille_2021.xlsx` table.
DOI: 10.15454/bivuoq/2pbzs9
title: metabar_mixed_model_Observed_emmeans_contrasts_tukey_2020-11-10_16-20-02.tab

description: :unav
DOI: 10.15454/bivuoq/33dcmu
title: metabar_mixed_model_Staphylococcus_emmeans_contrasts_tukey_2020-11-10_16-25-08.tab

description: :unav
DOI: 10.15454/bivuoq/3dwmw6
title: metabar_mixed_model_Salinivibrio_emmeans_contrasts_tukey_2020-11-10_16-27-10.tab

description: :unav
DOI: 10.15454/bivuoq/44fwuf
title: metabar_mixed_model_Staphylococcus_anova_2020-11-10_16-24-48.txt

description: :unav
DOI: 10.15454/bivuoq/4iretf
title: metabar_mixed_model_Aliivibrio_anova_2020-11-10_16-27-51.txt

description: :unav
DOI: 10.15454/bivuoq/6f7k36
title: chemical_mixed_model_TVBN_emmeans_contrasts_tukey_2020-11-09_21-52-09.tab

description: :unav
DOI: 10.15454/bivuoq/8knxuw
title: chemical_mixed_model_drymatter_anova_2020-11-09_21-53-19.txt

description: :unav
DOI: 10.15454/bivuoq/b2bhjs
title: metabar_mixed_model_Photobacterium_emmeans_contrasts_tukey_2020-11-10_16-28-45.tab

description: :unav
DOI: 10.15454/bivuoq/btcprs
title: metabar_mixed_model_Shannon_anova_2020-11-10_16-20-12.txt

description: :unav
DOI: 10.15454/bivuoq/ccjx6o
title: metabar_mixed_model_Psychrobacter_emmeans_contrasts_tukey_2020-11-10_16-30-15.tab

description: :unav
DOI: 10.15454/bivuoq/d1sj3j
title: tax_table.tab

description: Taxonomic table of CSS samples microbiota. This file is usable on R Phyloseq package
DOI: 10.15454/bivuoq/df5i1m
title: metabar_mixed_model_Shewanella_emmeans_contrasts_tukey_2020-11-10_16-29-17.tab

description: :unav
DOI: 10.15454/bivuoq/ejtpgd
title: chemical_mixed_model_phenols_emmeans_contrasts_tukey_2020-11-09_21-54-20.tab

description: :unav
DOI: 10.15454/bivuoq/fkpljy
title: tree.nwk

description: Phylogenetic tree of CSS samples microbiota. This file is usable on R Phyloseq package
DOI: 10.15454/bivuoq/g41dt7
title: metabar_mixed_model_Observed_anova_2020-11-10_16-19-43.txt

description: :unav
DOI: 10.15454/bivuoq/gbqutb
title: metabar_mixed_model_Serratia_emmeans_contrasts_tukey_2020-11-10_16-26-09.tab

description: :unav
DOI: 10.15454/bivuoq/gl4g3c
title: metabar_mixed_model_Aliivibrio_emmeans_contrasts_tukey_2020-11-10_16-28-13.tab

description: :unav
DOI: 10.15454/bivuoq/hbyljf
title: metabar_mixed_model_Carnobacterium_emmeans_contrasts_tukey_2020-11-10_16-23-36.tab

description: :unav
DOI: 10.15454/bivuoq/hmlkmz
title: metabar_mixed_model_Shewanella_anova_2020-11-10_16-28-57.txt

description: :unav
DOI: 10.15454/bivuoq/iv16i2
title: chemical_mixed_model_fat_emmeans_contrasts_tukey_2020-11-09_21-53-38.tab

description: :unav
DOI: 10.15454/bivuoq/jhqye6
title: chemical_mixed_model_phenols_anova_2020-11-09_21-54-11.txt

description: :unav
DOI: 10.15454/bivuoq/kbm77u
title: metabar_mixed_model_Psychrobacter_anova_2020-11-10_16-29-56.txt

description: :unav
DOI: 10.15454/bivuoq/khyq85
title: metabar_mixed_model_Carnobacterium_anova_2020-11-10_16-23-17.txt

description: :unav
DOI: 10.15454/bivuoq/kspsqw
title: chemical_mixed_model_TVBN_anova_2020-11-09_21-51-23.txt

description: :unav
DOI: 10.15454/bivuoq/ljajgt
title: metabar_mixed_model_Pseudomonas_emmeans_contrasts_tukey_2020-11-10_16-31-14.tab

description: :unav
DOI: 10.15454/bivuoq/m62uoi
title: chemical_mixed_model_salt_emmeans_contrasts_tukey_2020-11-09_21-53-55.tab

description: :unav
DOI: 10.15454/bivuoq/noago9
title: metabar_mixed_model_Pseudomonas_anova_2020-11-10_16-30-54.txt

description: :unav
DOI: 10.15454/bivuoq/ofb82d
title: chemical_mixed_model_TMA_anova_2020-11-09_21-52-29.txt

description: :unav
DOI: 10.15454/bivuoq/oifvzt
title: metabar_mixed_model_Lactobacillus_anova_2020-11-10_16-23-47.txt

description: :unav
DOI: 10.15454/bivuoq/orldvj
title: metabar_mixed_model_Shannon_emmeans_contrasts_tukey_2020-11-10_16-20-31.tab

description: :unav
DOI: 10.15454/bivuoq/pzbto0
title: Sample_data.tab

description: Metadata table of CSS samples microbiota. This file is usable on R Phyloseq package
DOI: 10.15454/bivuoq/q4bagf
title: chemical_mixed_model_TMA_emmeans_contrasts_tukey_2020-11-09_21-53-08.tab

description: :unav
DOI: 10.15454/bivuoq/sjty0u
title: metabar_mixed_model_Photobacterium_anova_2020-11-10_16-28-25.txt

description: :unav
DOI: 10.15454/bivuoq/synsd4
title: metabar_mixed_model_Salinivibrio_anova_2020-11-10_16-26-50.txt

description: :unav
DOI: 10.15454/bivuoq/tesnqj
title: chemical_mixed_model_salt_anova_2020-11-09_21-53-46.txt

description: :unav
DOI: 10.15454/bivuoq/tyy0fz
title: metabar_mixed_model_Vibrio_anova_2020-11-10_16-27-21.txt

description: :unav
DOI: 10.15454/bivuoq/udcaew
title: Data_chemistry.tab

description: Evolution of TVBN (mgN/100g), TMA (mgN/100g), dry matter content (%), total fat (g/100g), salt content (g/100g), total phenols (mg/100g), of 45 CSS products during 28 days of storage.
DOI: 10.15454/bivuoq/vmswic
title: metabar_mixed_model_Lactobacillus_emmeans_contrasts_tukey_2020-11-10_16-24-07.tab

description: :unav
DOI: 10.15454/bivuoq/vpf2m2
title: chemical_mixed_model_fat_anova_2020-11-09_21-53-32.txt

description: :unav
DOI: 10.15454/bivuoq/wmgawh
title: metabar_mixed_model_Vibrio_emmeans_contrasts_tukey_2020-11-10_16-27-40.tab

description: :unav
DOI: 10.15454/bivuoq/xqsnup
title: metabar_mixed_model_Serratia_anova_2020-11-10_16-25-49.txt

description: :unav
DOI: 10.15454/bivuoq/yx61mr
title: metabar_mixed_model_Pantoea_anova_2020-11-10_16-25-19.txt

description: :unav
DOI: 10.15454/bivuoq/yytxhq
title: metabar_mixed_model_Pantoea_emmeans_contrasts_tukey_2020-11-10_16-25-38.tab

description: :unav
DOI: 10.15454/bivuoq/z2hbla
title: chemical_mixed_model_drymatter_emmeans_contrasts_tukey_2020-11-09_21-53-24.tab

description: :unav
DOI: 10.15454/bivuoq/zqc2kz
title: OTU_table.tab

description: OTU table of CSS samples microbiota. This file is usable on R Phyloseq package
DOI: 10.15454/bjfuev/55mp05
title: Total_HAP_CE.Rmd

description: Rmarkdown script
DOI: 10.15454/bmelny/fjains
title: dataPaper.zip

description: :unav
DOI: 10.15454/bmgbz8/pauhh9
title: Donnees_croissance_arbres_chataigners_Saint-Caprais_ISO-19115.xml
DOI: 10.15454/bmh6ym/5zmst7
title: rpg_complete_2018_d05.zip

description: :unav