91 to 100 of 659 Results
25 janv. 2023 -
DATA4C+ - A thesaurus to define land management practices in agriculture and forestry for soil carbon storage
MS Excel Spreadsheet - 39,0 KB -
MD5: 4434b1cb17a9befa94f3b9af097e55e3
Excel file with the 224 terms defined and organized. |
14 déc. 2022 -
Maize seed treatment for fall armyworm control
Tabular Data - 987 B - 10 Variables, 15 Observations - UNF:6:kOzU0LA5tIi5aG7rNml4cA==
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14 déc. 2022 -
Maize seed treatment for fall armyworm control
Tabular Data - 719 B - 9 Variables, 11 Observations - UNF:6:CB/UbtT9tHMUysSt6G08/Q==
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Gzip Archive - 495,5 KB -
MD5: 4ed50843b90412f62979872e3d1b1ce3
Land use reference - Esri Shape format // EPSG code (projection) : 32738 |
4 déc. 2022 -
Knowledge-Attitude-Practice survey responses on anti-microbial resistance. Laos farmers. 2018.
Tabular Data - 12,3 KB - 1 Variables, 263 Observations - UNF:6:nE3eKuNC4jlwxk7sm8S8Vw==
Antibiotics found in the surveyed chicken, pig, fish and integrated farms at the time of the farm visit. Photos were taken of veterinary drugs that farmers surveyed were willing to show during the interviews. Antibiotic were identified according to the label, leaflet, or packaging... |
4 déc. 2022 -
Knowledge-Attitude-Practice survey responses on anti-microbial resistance. Laos farmers. 2018.
Adobe PDF - 300,2 KB -
MD5: d127f9cfc801674a64a086fb8b9c0fce
Description of the data processing steps. |
4 déc. 2022 -
Knowledge-Attitude-Practice survey responses on anti-microbial resistance. Laos farmers. 2018.
Tabular Data - 546,8 KB - 92 Variables, 453 Observations - UNF:6:6eKmD6YOh7emU5fPW7NO3A==
Knowlede-Attitude-Practices of Laos' farmers on Anti-microbial resistance. |
2 déc. 2022 -
Antananarivo - 2022 Land cover map
Gzip Archive - 324,5 MB -
MD5: dacde6793345d8fcd55cf4ed26171c43
Land Cover Map - version1-2 - Esri Shape format // EPSG code (projection) : 32738 |
2 déc. 2022 -
Antananarivo - 2022 Land cover map
Gzip Archive - 183,5 MB -
MD5: a8ece3570e15d6ca7d20f2ec0f9a4dc8
Land Cover Map - version2-2 - Esri Shape format // EPSG code (projection) : 32738 |
Tabular Data - 1,1 KB - 1 Variables, 39 Observations - UNF:6:YCYOQEERwlOPbFR85K9rtg==
file containing the breed name, the breed code of the animals and two individual identifiers: Animal code as used in Berthier et al 2015 and in GEO GSE197108 dataset; and Animal ID as used in the genotyping file |