Snow bunting winter banding data and associated daily weather variables for each individual capture

Snow bunting winter (Nov 1 to Mar 20) banding data (including age, sex, banding location, body mass, wing chord, fat score and time of capture) merged to associated daily weather data (including mean temperature, minimal temperature, maximal temperature, snow depth, total snowfall, absolute humidity...

Full description

Bibliographic Details
Main Authors: Laplante, Marie-Pier, McKinnon, Emily, Love, Oliver P., Vézina, François
Format: Dataset
Language:unknown
Published: Dryad Digital Repository 2019
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.f7h4614/1
https://datadryad.org/resource/doi:10.5061/dryad.f7h4614/1
Description
Summary:Snow bunting winter (Nov 1 to Mar 20) banding data (including age, sex, banding location, body mass, wing chord, fat score and time of capture) merged to associated daily weather data (including mean temperature, minimal temperature, maximal temperature, snow depth, total snowfall, absolute humidity, maximal wing gust and cloud cover (for the period 2009-2015 for 8 locations in eastern Canada. Banding data were obtained from both the Canadian bird banding office and the citizen science project Canadian Snow Bunting Network. Daily weather variables were merged to banding data and were extracted from the following three sources : 1) environment and climate change weather office online, 2) ministère du développement durable de l'environnement et de la lutte contre les changements climatiques et 3) National snow and ice data center. Only individual record for which a complete set of information was available for every individual (i.e. sex, age, wing chord, fat score, body mass, time of capture) and only banding entries with an associated complete set of weather variables were kept in the dataset. Excel was used to calculate weather averaged over the three days preceding capture. R Software (3.2.1) was used to create the datafile and do all other manipulations.