91 to 100 of 148 Results
Plain Text - 12,2 KB -
MD5: 7d7d82b6474d0e997ba205a0b2fdf114
Laboratory experimental data: areas of leaf samples following paired-choice tests (in presence of a locust). |
Plain Text - 1,9 KB -
MD5: 5cc635f66b54a3495e135cf592c92878
Field experimental data: the level of damage at the plant-scale (PSLD) measured in Herbivory Cages. |
Plain Text - 1,6 KB -
MD5: 3d64d3e1a2b5f6016c2b7ed4a8bfb21b
Plant biological data: trait values per repeat x accession for LNC. |
R Source Code - 18,6 KB -
MD5: 071a44066d29b88431f8b05836d91dc9
R script to perform for all statistical analyses reported in this study. |
Plain Text - 1,4 KB -
MD5: 1ac3acc480e6673e608d1b530b87a12c
Plant biological data: mean trait values per accession for SLA, LDMC, SRS, LNC, LPrC, and LChC. |
Plain Text - 2,7 KB -
MD5: a272a81d71831702bfa800d0780cf3e9
Plant biological data: trait values per repeat x accession for SLA, LDMC, and SRS. |
9 nov. 2022
Vernier, Camille; Barthes, Nicolas; Chapuis, Marie-Pierre; Foucaud, Julien; Huguenin, Joris; Lemenager, Nicolas; Piou, Cyril, 2022, "Original data used in Vernier et al.'s work: "Faeces' odours attract gregarious locust hoppers"", https://doi.org/10.18167/DVN1/D3OP8O, CIRAD Dataverse, V1, UNF:6:R/QcjJUh0JNkL7XCE6g8uw== [fileUNF]
Data of behavioral assays and chemical analyses. R scripts and .csv files. |
9 nov. 2022 -
Original data used in Vernier et al.'s work: "Faeces' odours attract gregarious locust hoppers"
Tabular Data - 9,6 KB - 1 Variables, 173 Observations - UNF:6:SD8cOUbHDbvrW3cVZpJFng==
Behavioral assays data. |
9 nov. 2022 -
Original data used in Vernier et al.'s work: "Faeces' odours attract gregarious locust hoppers"
Comma Separated Values - 55,3 KB -
MD5: 405f4884b31c5a813d524ed71e0bae62
Chemical analyses (GC-MS) data. |
9 nov. 2022 -
Original data used in Vernier et al.'s work: "Faeces' odours attract gregarious locust hoppers"
Comma Separated Values - 20,0 KB -
MD5: b20183ac349db0281cae41b9b7cacf7f
Filtered VOCs, to be analyzed by L3_GCMS_analysis.R.
Data generated byL3_GCMS_filters.R script. |