351 to 360 of 1 066 Results
31 mars 2022 -
OptiReUse, a decision support tool for wastewater reuse in agriculture irrigation based on Life Cycle Assessment results
Tabular Data - 2,3 MB - 59 Variables, 2318 Observations - UNF:6:GdahnlvAM+8Z+h24Gnd2kQ==
OptiReUse Life Cycle Inventories |
11 janv. 2022 -
OptiReUse, a decision support tool for wastewater reuse in agriculture irrigation based on Life Cycle Assessment results
application/vnd.ms-excel.sheet.macroEnabled.12 - 526,0 KB -
MD5: a299fb913a005e7a0a8faec9ea1806f2
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16 déc. 2021 - UMR PVBMT
Andriamihaja, F. Cathucia; Botomanga, Alemao; Misandeau, Chantal; Ramarosandratana, Aro V.; Grisoni, Michel; Da Silva, Denis; Pailler, Thierry; Jeannoda, Vololoniaina H.; Besse, Pascale, 2021, "Raw data for Andriamihaja et al (in review). Integrative taxonomy and phylogeny of leafless Vanilla orchids from the South West Indian ocean region reveal two new Malagasy species", https://doi.org/10.18167/DVN1/3OFMLH, CIRAD Dataverse, V1, UNF:6:RbhkaYeCRisqJ5oOXysPxg== [fileUNF]
Genotyping data from 7 microsatellite loci of 49 samples of leafless Vanilla species used in the paper "Integrative taxonomy and phylogeny of leafless Vanilla orchids from the South West Indian ocean region reveal two new Malagasy species" (in review). |
Tabular Data - 5,9 KB - 18 Variables, 49 Observations - UNF:6:RbhkaYeCRisqJ5oOXysPxg==
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16 déc. 2021 - UMR PHIM
Motisi, Natacha; Papaïx, Julien; Poggi, Sylvain, 2021, "Data for: "The Dark side of shade: How microclimates drive the epidemiological mechanisms of coffee berry disease"", https://doi.org/10.18167/DVN1/KP76RE, CIRAD Dataverse, V1
Data of coffee berry disease (CBD) dynamics and of microclimates, collected over two consecutive years (2012-2013) on a smallholding coffee farm in Bamendjou in West Cameroon (5°24′0″N; 10°19′0″E, alt. 1600m), were used to assess the effect of shade and full sun on CBD epidemiolo... |
16 déc. 2021 -
Data for: "The Dark side of shade: How microclimates drive the epidemiological mechanisms of coffee berry disease"
R Syntax - 4,3 KB -
MD5: f72070c0a926a1b9ddaceaf002965aa7
codes for making figures |
16 déc. 2021 -
Data for: "The Dark side of shade: How microclimates drive the epidemiological mechanisms of coffee berry disease"
R Syntax - 34,3 KB -
MD5: 0d93d9a619f71f74c0dba53e4dfd67c3
codes for computations of the MCMC chains and for making figures |
16 déc. 2021 -
Data for: "The Dark side of shade: How microclimates drive the epidemiological mechanisms of coffee berry disease"
R Data - 16,8 KB -
MD5: a4abdda103790fffce86f9f6e871f186
data for climate variables under full sun in 2012 |
16 déc. 2021 -
Data for: "The Dark side of shade: How microclimates drive the epidemiological mechanisms of coffee berry disease"
R Data - 17,3 KB -
MD5: 52d81199e18bd7c589796cd755b6ea2b
data for climate variables under shade in 2012 |
16 déc. 2021 -
Data for: "The Dark side of shade: How microclimates drive the epidemiological mechanisms of coffee berry disease"
R Data - 17,6 KB -
MD5: 2bbf5882e579fec5a4f2d4c7b826cfb7
data for climate variables under full sun in 2013 |