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Título: | A new method for noninvasive genetic sampling of saliva in ecological research |
Autor: | Lobo, Diana; Godinho, Raquel; Álvares, Francisco; López-Bao, José V. CSIC ORCID; Rodríguez, Alejandro CSIC ORCID | Palabras clave: | Consensus genotypes Food handling Individual identification Mammals Molecular methods |
Fecha de publicación: | 2015 | Citación: | Lobo, Diana; Godinho, Raquel; Álvares, Francisco; López-Bao, José V. ; Rodríguez, Alejandro ; 2015; A new method for noninvasive genetic sampling of saliva in ecological research [Dataset]; DIGITALCSIC; http://dx.doi.org/10.20350/digitalCSIC/7386 | Resumen: | The dataset contains the results of an experiment that measures rates of species identification success and individual identification success using DNA extracted from dog saliva samples. Dog saliva was obtained from different porous materials handled by captive dogs. Porous substrates were covered with an edible bait to make them attractive to dogs. | Descripción: | The dataset includes detail of the experimental session (code, day within session, time since the onset), the experimental subjects (code, sex, weight), types of substrate and bait, and attributes of dog behaviour (chewing time, licking time and handling time). Another set of variables include the amount of saliva collected and the DNA concentration in saliva extracts. Finally, the dataset includes binary variables for species identification and individual identification using two different numbers of microsatellite loci, as well as the number of genotyping attempts needed for individual identification and the match between consensus genotypes and reference genotypes obtained from hair samples | URI: | http://hdl.handle.net/10261/123260 | DOI: | 10.20350/digitalCSIC/7386 |
Aparece en las colecciones: | (EBD) Conjuntos de datos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
Saliva dog dataset.xlsx | 26,89 kB | Microsoft Excel XML | Visualizar/Abrir | |
readme_new.txt | 1,65 kB | Text | Visualizar/Abrir |
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