Data and parameters designed to estimate deer abundances from multiple abundance indices and posterior summaries of coefficients from the model which used MaxS instead of SD50 in Table 1 as snow effect.

(DOCX)

Bibliographic Details
Main Authors:	Inoue Mizuki (613965), Hiroki Itô (3845638), Michimasa Yamasaki (2928024), Shigeru Fukumoto (8992274), Yuuki Okamoto (8992277), Masaya Katsuki (8992280), Keitaro Fukushima (4222753), Masaru Sakai (1669627), Shota Sakaguchi (3255555), Daisuke Fujiki (2671789), Hikaru Nakagawa (8992283), Masae Iwamoto Ishihara (8992286), Atsushi Takayanagi (774027)
Format:	Other Non-Article Part of Journal/Newspaper
Language:	unknown
Published:	2020
Subjects:	Ecology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified deer abundance block count surveys wildlife protection areas deer population trends Canis lupus hodophilax road count surveys population dynamics nuisance control Canis lupus
Online Access:	https://doi.org/10.1371/journal.pone.0225872.s005

id	ftpurdueuniv:oai:figshare.com:article/12509336
record_format	openpolar
spelling	ftpurdueuniv:oai:figshare.com:article/12509336 2023-05-15T15:49:34+02:00 Data and parameters designed to estimate deer abundances from multiple abundance indices and posterior summaries of coefficients from the model which used MaxS instead of SD50 in Table 1 as snow effect. Inoue Mizuki (613965) Hiroki Itô (3845638) Michimasa Yamasaki (2928024) Shigeru Fukumoto (8992274) Yuuki Okamoto (8992277) Masaya Katsuki (8992280) Keitaro Fukushima (4222753) Masaru Sakai (1669627) Shota Sakaguchi (3255555) Daisuke Fujiki (2671789) Hikaru Nakagawa (8992283) Masae Iwamoto Ishihara (8992286) Atsushi Takayanagi (774027) 2020-06-18T20:00:17Z https://doi.org/10.1371/journal.pone.0225872.s005 unknown https://figshare.com/articles/Data_and_parameters_designed_to_estimate_deer_abundances_from_multiple_abundance_indices_and_posterior_summaries_of_coefficients_from_the_model_which_used_MaxS_instead_of_SD50_in_Table_1_as_snow_effect_/12509336 doi:10.1371/journal.pone.0225872.s005 CC BY 4.0 CC-BY Ecology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified deer abundance block count surveys wildlife protection areas deer population trends Canis lupus hodophilax road count surveys population dynamics nuisance control Text Journal contribution 2020 ftpurdueuniv https://doi.org/10.1371/journal.pone.0225872.s005 2020-06-25T10:26:42Z (DOCX) Other Non-Article Part of Journal/Newspaper Canis lupus Purdue University: e-Pubs
institution	Open Polar
collection	Purdue University: e-Pubs
op_collection_id	ftpurdueuniv
language	unknown
topic	Ecology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified deer abundance block count surveys wildlife protection areas deer population trends Canis lupus hodophilax road count surveys population dynamics nuisance control
spellingShingle	Ecology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified deer abundance block count surveys wildlife protection areas deer population trends Canis lupus hodophilax road count surveys population dynamics nuisance control Inoue Mizuki (613965) Hiroki Itô (3845638) Michimasa Yamasaki (2928024) Shigeru Fukumoto (8992274) Yuuki Okamoto (8992277) Masaya Katsuki (8992280) Keitaro Fukushima (4222753) Masaru Sakai (1669627) Shota Sakaguchi (3255555) Daisuke Fujiki (2671789) Hikaru Nakagawa (8992283) Masae Iwamoto Ishihara (8992286) Atsushi Takayanagi (774027) Data and parameters designed to estimate deer abundances from multiple abundance indices and posterior summaries of coefficients from the model which used MaxS instead of SD50 in Table 1 as snow effect.
topic_facet	Ecology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified deer abundance block count surveys wildlife protection areas deer population trends Canis lupus hodophilax road count surveys population dynamics nuisance control
description	(DOCX)
format	Other Non-Article Part of Journal/Newspaper
author	Inoue Mizuki (613965) Hiroki Itô (3845638) Michimasa Yamasaki (2928024) Shigeru Fukumoto (8992274) Yuuki Okamoto (8992277) Masaya Katsuki (8992280) Keitaro Fukushima (4222753) Masaru Sakai (1669627) Shota Sakaguchi (3255555) Daisuke Fujiki (2671789) Hikaru Nakagawa (8992283) Masae Iwamoto Ishihara (8992286) Atsushi Takayanagi (774027)
author_facet	Inoue Mizuki (613965) Hiroki Itô (3845638) Michimasa Yamasaki (2928024) Shigeru Fukumoto (8992274) Yuuki Okamoto (8992277) Masaya Katsuki (8992280) Keitaro Fukushima (4222753) Masaru Sakai (1669627) Shota Sakaguchi (3255555) Daisuke Fujiki (2671789) Hikaru Nakagawa (8992283) Masae Iwamoto Ishihara (8992286) Atsushi Takayanagi (774027)
author_sort	Inoue Mizuki (613965)
title	Data and parameters designed to estimate deer abundances from multiple abundance indices and posterior summaries of coefficients from the model which used MaxS instead of SD50 in Table 1 as snow effect.
title_short	Data and parameters designed to estimate deer abundances from multiple abundance indices and posterior summaries of coefficients from the model which used MaxS instead of SD50 in Table 1 as snow effect.
title_full	Data and parameters designed to estimate deer abundances from multiple abundance indices and posterior summaries of coefficients from the model which used MaxS instead of SD50 in Table 1 as snow effect.
title_fullStr	Data and parameters designed to estimate deer abundances from multiple abundance indices and posterior summaries of coefficients from the model which used MaxS instead of SD50 in Table 1 as snow effect.
title_full_unstemmed	Data and parameters designed to estimate deer abundances from multiple abundance indices and posterior summaries of coefficients from the model which used MaxS instead of SD50 in Table 1 as snow effect.
title_sort	data and parameters designed to estimate deer abundances from multiple abundance indices and posterior summaries of coefficients from the model which used maxs instead of sd50 in table 1 as snow effect.
publishDate	2020
url	https://doi.org/10.1371/journal.pone.0225872.s005
genre	Canis lupus
genre_facet	Canis lupus
op_relation	https://figshare.com/articles/Data_and_parameters_designed_to_estimate_deer_abundances_from_multiple_abundance_indices_and_posterior_summaries_of_coefficients_from_the_model_which_used_MaxS_instead_of_SD50_in_Table_1_as_snow_effect_/12509336 doi:10.1371/journal.pone.0225872.s005
op_rights	CC BY 4.0
op_rightsnorm	CC-BY
op_doi	https://doi.org/10.1371/journal.pone.0225872.s005
_version_	1766384602261225472

Data and parameters designed to estimate deer abundances from multiple abundance indices and posterior summaries of coefficients from the model which used MaxS instead of SD50 in Table 1 as snow effect.

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