Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

61 to 70 of 145 Results
mygridref.gri
23 avr. 2024 - Multi-scale analyses of past climate change and management impacts on desert locust gregarization risk.
Unknown - 19,9 KB - MD5: 2347cf45694ac46f6ff3eb36a7046d75
pr_annual_values_1980_2018_clcpro_res50.RData
23 avr. 2024 - Multi-scale analyses of past climate change and management impacts on desert locust gregarization risk.
R Data - 760,0 KB - MD5: 48a735db28324ac3c4a9aa5c3bf689ff
pr_monthly_values_1980_2018_clcpro_res50.RData
23 avr. 2024 - Multi-scale analyses of past climate change and management impacts on desert locust gregarization risk.
Gzip Archive - 2,7 MB - MD5: 72cbae8126a1e7827e6d14db3b413971
results_decompo_CHELSA_pr_res50.RData
23 avr. 2024 - Multi-scale analyses of past climate change and management impacts on desert locust gregarization risk.
R Data - 452,5 KB - MD5: aae1ca002f79be5ef513d8acc97bb4d7
results_decompo_CHELSA_tas_res50.RData
23 avr. 2024 - Multi-scale analyses of past climate change and management impacts on desert locust gregarization risk.
R Data - 442,1 KB - MD5: a8d8c58b4106c3554dac52b967eb7560
tas_annual_values_1980_2018_clcpro_res50.RData
23 avr. 2024 - Multi-scale analyses of past climate change and management impacts on desert locust gregarization risk.
Gzip Archive - 367,5 KB - MD5: 0d9618a6c06dc204c265275193c6613c
tas_monthly_values_1980_2018_clcpro_res50.RData
23 avr. 2024 - Multi-scale analyses of past climate change and management impacts on desert locust gregarization risk.
Gzip Archive - 2,1 MB - MD5: 687934bbc386eeaa8eba2336489c7163
uniqOcc_clcpro_df_recession_res50.RData
23 avr. 2024 - Multi-scale analyses of past climate change and management impacts on desert locust gregarization risk.
R Data - 469,2 KB - MD5: 1b290cb8cab33e72451425611b8c19eb
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"
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
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"
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.