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Data files for: Predictable Shorebird Departure Patterns from a Staging Site can Inform Collision Risks and Mitigation of Wind Energy Developments
| Description: | Data files containing 1) Chaplin and Reed Lakes Local Telemetry Tower Array Information (2015-2017) 2) Summary of Radiotagged Sanderling tagging, staging and migration data at Chaplin and Reed Lakes, Saskatchewan (2015-2017) 3) Weather Data associated with Sanderling Departures, Arrivals, and 3 Days prior to Movements (2015-2017) 4) Departing Flock Visual Observations at Chaplin Lake, Saskatchewan (2017) |
| Notes: | Item exited embargo and became publicly available on 2019-09-01 |
| Authors: | Howell, Jessica E.; University of Saskatchewan Morrissey, Christy A.; University of Saskatchewan;  0000-0001-8128-4209McKellar, Ann E.; Environment and Climate Change Canada Espie, Rick H.M.; Saskatchewan Ministry of Environment |
| Keywords: | Motus Wildlife Telemetry Sanderling Radiotelemetry Migration Chaplin Lake |
| Field of Research: | Biological sciences > Zoology > Animal behaviour
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| Publication Date: | 2019-09-01 |
| Publisher: | Federated Research Data Repository / dépôt fédéré de données de recherche |
| Funder: | Natural Sciences and Engineering Research Council of Canada (NSERC) Ministry of Environment - Saskatchewan Environment and Climate Change Canada (ECCC) |
| URI: | https://doi.org/10.20383/101.0169 |
| Related Identifiers: |
This dataset is a supplement to
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| Geographic Coverage: | Place Name Chaplin Lake Province / Province / Territory Saskatchewan Territory Country Canada Place Name Reed Lake Province / Province / Territory Saskatchewan Territory Country Canada |
| Geographic Point: | Latitude 50.4628 Longitude -106.6546 |
| Appears in Collections: | Morrissey Ecotox Lab |
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Access to this dataset is subject to the following terms:
Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Citation
Howell, J., Morrissey, C., McKellar, A., Espie, R. (2019). Data files for: Predictable Shorebird Departure Patterns from a Staging Site can Inform Collision Risks and Mitigation of Wind Energy Developments. Federated Research Data Repository. https://doi.org/10.20383/101.0169
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