[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,...
| Autores: | , , , |
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| Formato: | conjunto de datos |
| Fecha de publicación: | 2022 |
| País: | España |
| Recursos: | Consorci de Serveis Universitaris de Catalunya (CSUC) |
| Repositorio: | CORA.Repositori de Dades de Recerca |
| OAI Identifier: | oai:dnet:cora.rdr____::3c255355cadc3903f2394429aa0a8152 |
| Acesso em linha: | https://doi.org/10.34810/DATA250 |
| Access Level: | acceso abierto |
| Palavra-chave: | Earth and Environmental Sciences Traditional ecological knowledge Drylands agriculture Sorghum Millets Modelling Ethnography |
| Resumo: | 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). |
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