This SELLS_DATASET_readme.txt file was generated on 2021-02-03 by Sarah Sells. GENERAL INFORMATION 1. Title of Dataset: Data from: Evidence of economical territory selection in a cooperative carnivore 2. Author Information A. Principal Investigator Contact Information Name: Sarah Sells Institution: The University of Montana Address: 205 Natural Sciences Bldg, Missoula, MT 59812 Email: SarahNSells@gmail.com B. Associate or Co-investigator Contact Information Name: Kevin Podruzny Institution: Montana Fish, Wildlife and Parks Address: 1420 E. 6th St., Helena, MT 59620 Email: KPodruzny@mt.gov 3. Date of data collection: 2014-01-01 – 2019-05-20. 4. Geographic location of data collection: Montana, USA. 5. Information about funding sources that supported the collection of the data: This work was supported by revenues from the sale of Montana hunting and fishing licenses, a Federal Aid in Wildlife Restoration Grant #W-161-R-1 to MFWP, and a W.A. Franke Wildlife Biology Graduate Fellowship. SHARING/ACCESS INFORMATION 1. Licenses/restrictions placed on the data: NA. 2. Links to publications that cite or use the data: 10.1098/rspb.2021.0108 3. Links to other publicly accessible locations of the data: NA. 4. Links/relationships to ancillary data sets: NA. 5. Was data derived from another source? Yes. A. If yes, list source(s): as described in publication text. 6. Recommended citation for this dataset: Sells, S. N. 2021. Data from: Evidence of economical territory selection in a cooperative carnivore. Proceedings of the Royal Society of London B: Biological Sciences. 10.1098/rspb.2021.0108 DATA & FILE OVERVIEW 1. File List: Wolf.territory.dataset.csv: Wolf territory sizes and attributes as analyzed for 10.1098/rspb.2021.0108. Wolf_territory_analysis.R: Code for analyzing the csv file, as described in 10.1098/rspb.2021.0108. 2. Relationship between files: R code is used to analyze csv file. 3. Additional related data collected that was not included in the current data package: NA. 4. Are there multiple versions of the dataset? No. METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: see main text, 10.1098/rspb.2021.0108. 2. Methods for processing the data: see main text, 10.1098/rspb.2021.0108. 3. Instrument- or software-specific information needed to interpret the data: see main text, 10.1098/rspb.2021.0108. Program R is needed, along with R packages as cited in the R code. 4. Standards and calibration information, if appropriate: NA. 5. Environmental/experimental conditions: NA. 6. Describe any quality-assurance procedures performed on the data: Code and data preparation carefully checked. 7. People involved with sample collection, processing, analysis and/or submission: see coauthors in main text. DATA-SPECIFIC INFORMATION FOR: Wolf.territory.dataset.csv 1. Number of variables: 12 2. Number of cases/rows: 43 3. Variable List: In all cases, main text (10.1098/rspb.2021.0108) contains details: group.identity: wolf pack identifier (name given by MFWP) n.fixes: number of GPS locations received for this wolf (per <=365 days of collar deployment) wolf.id: wolf identifier (name and ID given by MFWP); duplicated ID's when data collected over >1 year (new entry at day 366 post-capture) territory.area: size of territory (km2), measured by 95% KDE ungulate.summer: density index for ungulates in summer (ungulates/km2), within the identified territory ungulate.winter: density index for ungulates in winter (ungulates/km2), within the identified territory ruggedness: terrain ruggedness index based on the Vector Ruggedness Measure, within the identified territory competitor.density: number of nearby wolf groups (within 25 km of territory boundary, mean over 2 years) group.size: size of focal wolf group (# individuals, mean over 2 years) human.density: human density index (humans per mi2 based on 2010 census), within the identified territory roads.low.use: low-use road density index (roads per km2), within the identified territory harvest.removals: wolves removed by harvest within the focal group (mean over 2 years) 4. Missing data codes: NA. 5. Specialized formats or other abbreviations used: NA.