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11 to 20 of 2 420 Results
22 avr. 2024 - GuyaforONF
Brunaux, Olivier; Bézard, Vincent, 2023, "Montagne Tortue Forest Censuses", https://doi.org/10.18167/DVN1/AARUOJ, CIRAD Dataverse, V3, UNF:6:rHIwuwiI2lj3ZVoGRlC39g== [fileUNF]
Forest censuses data from the Montagne Tortue forest, ONF, east French Guiana in the Guyafor network. Guyafor Data Dictionary
Comma Separated Values - 2,6 KB - MD5: 48d44aa42a445e2c208fce04328963ad
Documentation
22 avr. 2024 - GuyaforONF
Brunaux, Olivier; Breton, Thierry, 2023, "BAFOG Forest Censuses", https://doi.org/10.18167/DVN1/YVNJLK, CIRAD Dataverse, V3, UNF:6:U0hQzzaBJEwelyV/KyBW4g== [fileUNF]
Forest censuses data from the Bafog research station, ONF, west French Guiana in the Guyafor network. Data covers more than 50 years (from 1968). Guyafor Data Dictionary
22 avr. 2024 - BAFOG Forest Censuses
Comma Separated Values - 253,0 KB - MD5: 2cd674092d6e31f4b4c1f8ce7a9b0366
Documentation
22 avr. 2024 - GuyaforNouragues
Jaouen, Gaëlle, 2023, "Nouragues forest permanent plots details", https://doi.org/10.18167/DVN1/HXKS4E, CIRAD Dataverse, V2, UNF:6:/Mz/xaPvKVptKKIwbtscdA== [fileUNF]
Nouragues Scientific Station. Plots size, location and type. Guyafor network
Comma Separated Values - 18,3 KB - MD5: ad430820c8bc5808f014a8719b34f298
Documentation
6 mars 2024 - UMR TETIS
Rumiano, Florent; Tran, Annelise; Degenne, Pascal; Dufleit, Victor; Caron, Alexandre; Miguel, Eve, 2023, "Spatial models of animal mobility: buffalo and cattle in Southern Africa", https://doi.org/10.18167/DVN1/T8DX7U, CIRAD Dataverse, V2
A spatial model of animal mobility has been developed for buffalo and cattle at the interface between protected areas and rural communal lands in southern Africa. It simulates the movements of African buffalo (Syncerus caffer caffer) and domestic cattle (Bos taurus, Bos indicus)...
Gzip Archive - 62,4 MB - MD5: c35200c5680375204bb474d1fae28bde
Ocelet codes and instructions
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.
Python Source Code - 4,1 KB - MD5: a8615acfbf0737600ce065ffb8c8b83f
Executable file required for using the Shell script "Preprocess_1step_forFrogs.sh"
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