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Publication Year: 2023

21 to 30 of 2 408 Results

Original data for " Chapuis MP et al. (2023). Evaluation of 96-well high-throughput DNA extraction methods for 16S rRNA gene metabarcoding. Molecular Ecology Resources, 23, 1509–1525" 1 mars 2024 - UMR CBGP Chapuis, Marie-Pierre; Benoit, Laure; Galan, Maxime, 2023, "Original data for " Chapuis MP et al. (2023). Evaluation of 96-well high-throughput DNA extraction methods for 16S rRNA gene metabarcoding. Molecular Ecology Resources, 23, 1509–1525"", https://doi.org/10.18167/DVN1/D31UAV, CIRAD Dataverse, V2, UNF:6:3cpS5HiYLk+POaq90NQuug== [fileUNF] Shell script for preprocessing of raw sequences ; R scripts for data filtering, reduction and analysis ; abundance table data.
fastqCombinePairedEnd.py 1 mars 2024 - Original data for " Chapuis MP et al. (2023). Evaluation of 96-well high-throughput DNA extraction methods for 16S rRNA gene metabarcoding. Molecular Ecology Resources, 23, 1509–1525" Python Source Code - 4,1 KB - MD5: a8615acfbf0737600ce065ffb8c8b83f Executable file required for using the Shell script "Preprocess_1step_forFrogs.sh"
Preprocess_1step_forFrogs.sh 1 mars 2024 - Original data for " Chapuis MP et al. (2023). Evaluation of 96-well high-throughput DNA extraction methods for 16S rRNA gene metabarcoding. Molecular Ecology Resources, 23, 1509–1525" Shell Script - 13,2 KB - MD5: 930c4ed891ebdbdcccfab0b01dd893b5 Shell script for preprocessing of raw sequences (before running Frogs) : From demultiplexed fastq.gz files produced from an Illumina MiSeq amplicon library, this script cuts reads from 3' primers (with cutadapt), trims on length longer reads (with fastx_trimmer), then merges read...
remove_void.awk 1 mars 2024 - Original data for " Chapuis MP et al. (2023). Evaluation of 96-well high-throughput DNA extraction methods for 16S rRNA gene metabarcoding. Molecular Ecology Resources, 23, 1509–1525" application/x-awk - 329 B - MD5: 3e02ca2e3e65e7294e2e88d9033006eb Executable file required for using the Shell script "Preprocess_1step_forFrogs.sh"
Mayotte - 2022 - DHM from Pleiades stereoscopic images 24 janv. 2024 - UMR TETIS Dupuy, Stéphane, 2023, "Mayotte - 2022 - DHM from Pleiades stereoscopic images", https://doi.org/10.18167/DVN1/4EAKVD, CIRAD Dataverse, V2 The data published here are derived from Pleiades images acquired by the Dinamis system. These data are produced for the Biotamaya project. - The DSM (Digital Surface Model) is calculated from Pleiades images acquired in stereoscopic mode. The images were acquired in 2022 (betwee...
Mayotte_DHM_2022_Stereo_Pleiades_v2.tar.gz 24 janv. 2024 - Mayotte - 2022 - DHM from Pleiades stereoscopic images Gzip Archive - 1,2 GB - MD5: 05df8ded2395bbd531a3da9dee3213c3 Data Digital Height Model - TIF format // EPSG code (projection) : 32738
Data for "Mulch application as the overarching factor explaining increase in soil organic carbon stocks under conservation agriculture in two 8-year-old experiments in Zimbabwe" 8 janv. 2024 - UPR AIDA Shumba, Armwell; Chikowo, Regis; Thierfelder, Christian; Corbeels, Marc; Six, Johan; Cardinael, Rémi, 2023, "Data for "Mulch application as the overarching factor explaining increase in soil organic carbon stocks under conservation agriculture in two 8-year-old experiments in Zimbabwe"", https://doi.org/10.18167/DVN1/VPOCHN, CIRAD Dataverse, V2 These are the raw data of the paper "Mulch application as the overarching factor explaining increase in soil organic carbon stocks under conservation agriculture in two 8-year-old experiments in Zimbabwe” authored by Armwell Shumba, Regis Chikowo, Christian Thierfelder, Marc Corb...
Shumba_et_al_Raw_data_SOC_paper_vf.xlsx 8 janv. 2024 - Data for "Mulch application as the overarching factor explaining increase in soil organic carbon stocks under conservation agriculture in two 8-year-old experiments in Zimbabwe" MS Excel Spreadsheet - 32,8 MB - MD5: 54c89d2cfa6c2f181870879a6cc07c1e
2023-12-26_Trinite.csv 26 déc. 2023 - Trinite Forest Censuses Comma Separated Values - 2,7 MB - MD5: 9ede88c68c9464354f64d39260f73537 DataForest census
2023-12-26_Risquetout.csv 26 déc. 2023 - Risquetout Forest Censuses Comma Separated Values - 13,0 MB - MD5: c1820363dea246afef388367e2fe83bc DataForest census

Original data for " Chapuis MP et al. (2023). Evaluation of 96-well high-throughput DNA extraction methods for 16S rRNA gene metabarcoding. Molecular Ecology Resources, 23, 1509–1525"

1 mars 2024 - UMR CBGP

Chapuis, Marie-Pierre; Benoit, Laure; Galan, Maxime, 2023, "Original data for " Chapuis MP et al. (2023). Evaluation of 96-well high-throughput DNA extraction methods for 16S rRNA gene metabarcoding. Molecular Ecology Resources, 23, 1509–1525"", https://doi.org/10.18167/DVN1/D31UAV, CIRAD Dataverse, V2, UNF:6:3cpS5HiYLk+POaq90NQuug== [fileUNF]

Shell script for preprocessing of raw sequences ; R scripts for data filtering, reduction and analysis ; abundance table data.

fastqCombinePairedEnd.py

1 mars 2024 - Original data for " Chapuis MP et al. (2023). Evaluation of 96-well high-throughput DNA extraction methods for 16S rRNA gene metabarcoding. Molecular Ecology Resources, 23, 1509–1525"

Python Source Code - 4,1 KB -

Executable file required for using the Shell script "Preprocess_1step_forFrogs.sh"

Preprocess_1step_forFrogs.sh

1 mars 2024 - Original data for " Chapuis MP et al. (2023). Evaluation of 96-well high-throughput DNA extraction methods for 16S rRNA gene metabarcoding. Molecular Ecology Resources, 23, 1509–1525"

Shell Script - 13,2 KB -

Shell script for preprocessing of raw sequences (before running Frogs) : From demultiplexed fastq.gz files produced from an Illumina MiSeq amplicon library, this script cuts reads from 3' primers (with cutadapt), trims on length longer reads (with fastx_trimmer), then merges read...

remove_void.awk

1 mars 2024 - Original data for " Chapuis MP et al. (2023). Evaluation of 96-well high-throughput DNA extraction methods for 16S rRNA gene metabarcoding. Molecular Ecology Resources, 23, 1509–1525"

application/x-awk - 329 B -

Executable file required for using the Shell script "Preprocess_1step_forFrogs.sh"

Mayotte - 2022 - DHM from Pleiades stereoscopic images

24 janv. 2024 - UMR TETIS

Dupuy, Stéphane, 2023, "Mayotte - 2022 - DHM from Pleiades stereoscopic images", https://doi.org/10.18167/DVN1/4EAKVD, CIRAD Dataverse, V2

The data published here are derived from Pleiades images acquired by the Dinamis system. These data are produced for the Biotamaya project. - The DSM (Digital Surface Model) is calculated from Pleiades images acquired in stereoscopic mode. The images were acquired in 2022 (betwee...

Mayotte_DHM_2022_Stereo_Pleiades_v2.tar.gz

24 janv. 2024 - Mayotte - 2022 - DHM from Pleiades stereoscopic images

Gzip Archive - 1,2 GB -

Data

Digital Height Model - TIF format // EPSG code (projection) : 32738

Data for "Mulch application as the overarching factor explaining increase in soil organic carbon stocks under conservation agriculture in two 8-year-old experiments in Zimbabwe"

8 janv. 2024 - UPR AIDA

Shumba, Armwell; Chikowo, Regis; Thierfelder, Christian; Corbeels, Marc; Six, Johan; Cardinael, Rémi, 2023, "Data for "Mulch application as the overarching factor explaining increase in soil organic carbon stocks under conservation agriculture in two 8-year-old experiments in Zimbabwe"", https://doi.org/10.18167/DVN1/VPOCHN, CIRAD Dataverse, V2

These are the raw data of the paper "Mulch application as the overarching factor explaining increase in soil organic carbon stocks under conservation agriculture in two 8-year-old experiments in Zimbabwe” authored by Armwell Shumba, Regis Chikowo, Christian Thierfelder, Marc Corb...

Shumba_et_al_Raw_data_SOC_paper_vf.xlsx

8 janv. 2024 - Data for "Mulch application as the overarching factor explaining increase in soil organic carbon stocks under conservation agriculture in two 8-year-old experiments in Zimbabwe"

MS Excel Spreadsheet - 32,8 MB -

2023-12-26_Trinite.csv

26 déc. 2023 - Trinite Forest Censuses

Comma Separated Values - 2,7 MB -

DataForest census

2023-12-26_Risquetout.csv

26 déc. 2023 - Risquetout Forest Censuses

Comma Separated Values - 13,0 MB -

DataForest census

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