Spatial and thermal blanding's turtle data

Declining reptilian populations have been a growing concern over the last couple of decades. One such declining species of concern, the Blanding’s turtle (Emydoidea blandingii), occurs as isolated populations in North American prairie-wetlands and is at risk of extirpation due to habitat loss and fragmentation, and increased predator (e.g. racoons, coyotes) populations due to supplemented resources in urban environments. To help mitigate declining populations, wildlife managers have invested in the conservation of this species through head-starting (i.e. reared in ex-situ) and juvenile release programs to augment wild Blanding’s turtle populations. However, much of their spatial and winter/thermal ecology is understudied, and data for juveniles, and juveniles reared in ex-situ is especially scarce, yet this information is imperative to understanding shortfalls and improving head-starting efforts in the future. In spring 2016 (RR2016) and 2017 (RR2017) we released a cohort (n=12 each yea..., Collection
Morphometric data 
Carapace length was measured using a pair of digital calipers. Mass was recorded via a digital animal weighing scale. Percent fat was calculated using the following formula from Newman et al. 2019 (see. Cann and Weber et al. 2020) fat % = 2.025 + (3.978 × 10-4 × (CL3 ⁄mass)) − (1.152 × 10-3 × mass), where CL = carapace length.
Morphometric data filename: Morphometrics_allCohorts
Spatial data
In quotes are from the manuscript itself:

Juveniles in RR2016 [Recently Released group 2016] were tracked once weekly from May 2016 to November 2016 for spatial analyses, and then bi-monthly as weather allowed to April 2017 for estimated emergence from brumation. Juveniles in RR2017 [Recently Released group 2017] were tracked two to three times weekly from May 2017 to November 2017 for spatial analyses, and then bi-monthly as weather allowed until April 2018 for estimated emergence from brumation. Juveniles in RR2016 were tracked further in tandem with juveniles in RR2..., We used Microsoft 365 Excel to open and view the .csv files used. For all analyses done on the .csv files we used Statistica version 13.0 (TIBCO Software Inc., 2017) which is proprietary. An open-source alternative that can be used is R from the cran.r-project.org website.