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Dataset containing the values used to generate resource sel..:

Jason S. Hagani (11467251) ; Sara M. Kross (7488704) ; Michael Clark (202666)..
https://figshare.com/articles/dataset/Dataset_containing_the_values_used_to_generate_resource_selection_probability_function_models_RSPFs_excluding_location_data_/16662120. , 2021

Link: https://doi.org/10.1371/journal.pone.0257716.s001

RT Journal
T1 <Title>Dataset containing the values used to generate resource selection probability function models (RSPFs), excluding location data</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_16662120&Exemplar=1&LAN=DE
				
A1 Jason S. Hagani (11467251)
A1 Sara M. Kross (7488704)
A1 Michael Clark (202666)
A1 Rae Wynn-Grant (11467254)
A1 Mary Blair (5014973)
YR 2021
K1 Evolutionary Biology
K1 Ecology
K1 Hematology
K1 Environmental Sciences not elsewhere classified
K1 Biological Sciences not elsewhere classified
K1 ursus americanus </
K1 seen progress recently
K1 2018 – 2019
K1 12 million tourists
K1 less success educating
K1 hinder conservation efforts
K1 new york department
K1 mechanisms driving human
K1 black bear interactions
K1 black bear conflicts
K1 people regularly interact
K1 heavily urbanized areas
K1 div >< p
K1 conflict may occur
K1 mitigating unwanted human
K1 black bears (<
K1 using conflicts reported
K1 new york state
K1 reduce unwanted interactions
K1 new york
K1 unwanted interactions
K1 black bears
K1 educating residents
K1 negative interactions
K1 carnivore interactions
K1 conservation managers
K1 modeling human
K1 wildland interface
K1 united states
K1 trash mismanagement
K1 targeted plans
K1 residential areas
K1 model predictions
K1 large population
K1 highly attracted
K1 dense forest
K1 continuously validate
K1 anthropogenic sources
K1 anthropogenic factors
K1 anthropogenic data
JF https://figshare.com/articles/dataset/Dataset_containing_the_values_used_to_generate_resource_selection_probability_function_models_RSPFs_excluding_location_data_/16662120
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0257716.s001
DO https://doi.org/10.1371/journal.pone.0257716.s001
SF ELIB - SuUB Bremen

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