[Supplementary Materials] Farming the World's drylands: ethnographic-based models highlight the key role of traditional knowledge for sustainable food production

The present documents are the primary data used on the paper in preparation "Farming the World's drylands: ethnographic-based models highlight the key role of traditional knowledge for sustainable food production": 1) SI Dataset S1(SI1-eHRAF-dataset.csv): Full cross-cultural dataset,...

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Detalles Bibliográficos
Autores: Ruiz-Giralt, Abel, Biagetti, Stefano, Madella, Marco, Lancelotti, Carla
Tipo de recurso: conjunto de datos
Fecha de publicación:2022
País:España
Institución:Consorci de Serveis Universitaris de Catalunya (CSUC)
Repositorio:CORA.Repositori de Dades de Recerca
OAI Identifier:oai:dnet:cora.rdr____::3c255355cadc3903f2394429aa0a8152
Acceso en línea:https://doi.org/10.34810/DATA250
Access Level:acceso abierto
Palabra clave:Earth and Environmental Sciences
Traditional ecological knowledge
Drylands agriculture
Sorghum
Millets
Modelling
Ethnography
Descripción
Sumario:The present documents are the primary data used on the paper in preparation "Farming the World's drylands: ethnographic-based models highlight the key role of traditional knowledge for sustainable food production": 1) SI Dataset S1(SI1-eHRAF-dataset.csv): Full cross-cultural dataset, according to the data provided by eHRAF and added external sources, on traditional cultivation practices of finger millet, pearl millet and sorghum worldwide. Data has been normalised according to the Standard Cross-Cultural Sample Codebook (3). 2) SI Dataset S2 (SI2-interviews.csv): Data resulting form the ethnographic interviews, processed and normalized according to the Standard Cross-Cultural Sample Codebook (3).