ECE-2018-09-01063-CAPTUREMATRIX

• Main Authors: Santostasi, Nina Luisa, Ciucci, Paolo, Caniglia, Romolo, Fabbri, Elena, Molinari, Luigi, Reggioni, Willy, Gimenez, Olivier
• Format: Dataset
• Language: unknown
• Published: Dryad Digital Repository 2019
• Subjects: hidden Markov models; capture-recapture; hybridization; Viterbi algorithm; Norhtern Apennines; Italy; Canis lupus
• Online Access: https://dx.doi.org/10.5061/dryad.8g8r675/1; https://datadryad.org/resource/doi:10.5061/dryad.8g8r675/1

The data are a capture matrix with five columns (2 months capture occasions) and 39 rows (individuals). Each row is the capture history of one individual. The numbers code the events: 0=non-detected, 1=detected and assigned to state "Wolf", 2=detected and assigned to state "Hybrid", 3=detected and not assigned to any state ("Uncertain"). The data are coded as if the assignment is performed only once (on first detection) and never again.