1 to 10 of 15 Results
7 mai 2020
Bagny Beilhe Leïla; Roudine Sacha; Quintero Perez Jose Alcides; Allinne Clementine; Daout Djavan Daout; Mauxion Rémi; Carval Dominique, 2020, "Raw data: Bagny Beilhe et al 2020: "Pest-regulating networks of the coffee berry borer (Hypothenemus hampei) in agroforestry systems. Crop Protection, 131 : 10 p."", https://doi.org/10.18167/DVN1/QVTOBA, CIRAD Dataverse, V1, UNF:6:2df1/ylVi4QJtHRD+i5t6A== [fileUNF]
Données collectées à La Dalia, Nicaragua, de 2017 à 2018. Données issues de 3 systèmes agroforestiers à base de caféiers avec des niveaux de diversification végétale différents et trois types de pratiques (conventionnelles, durables et organiques). Dans chaque ferme 20 parcelles... |
MS Excel Spreadsheet - 197,0 KB -
MD5: 4bf916254b557f76253d122ac7e1a5b7
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Tabular Data - 50,4 KB - 1 Variables, 1016 Observations - UNF:6:2df1/ylVi4QJtHRD+i5t6A==
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MS Word - 93,5 KB -
MD5: ed576afbfafcbfa003fd435a76ffd759
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MS Excel Spreadsheet - 71,6 KB -
MD5: 1bce49c6c36ace2675feea2f6f2f094d
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Plain Text - 800 B -
MD5: 4839355f86f9d27013c59853943b3418
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R Syntax - 7,0 KB -
MD5: 624788e57a70854801c35ffa3abaabfb
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5 nov. 2018
Jacques Avelino, 2018, "Raw data on coffee tree pests and diseases from surveys conducted in Costa Rica", https://doi.org/10.18167/DVN1/KUMGSQ, CIRAD Dataverse, V1
Dataset aiming at understanding the relationships between coffee pests and diseases, crop management, environment (including soil), and coffee tree characteristics from a two year survey conducted in Costa Rica at national level in 2002 and 2003 |
MS Excel Spreadsheet - 131,0 KB -
MD5: 312bf8fd0fc573ec5a91c2e844d78925
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14 juin 2018
Babin, Régis, 2018, "Raw data for Azrag et al., 2018. PlosOne. Prediction of insect pest distribution as influenced by elevation: combining field observations and temperature-dependent development models for the coffee stink bug, Antestiopsis thunbergii (Gmelin).", https://doi.org/10.18167/DVN1/WQFFPV, CIRAD Dataverse, V1, UNF:6:3jkEQqVpgYCVboPZoccQSw== [fileUNF]
Raw data for Azrag et a., 2018. PlosOne. Prediction of insect pest distribution as influenced by elevation: combining field observations and temperature-dependent development models for the coffee stink bug, Antestiopsis thunbergii (Gmelin) |