Correspondence between empirical estimates of Ptros in samples and predictions of the “lazy Ptros by PT calculator” (the highest and the lowest PT in samples from regional sets are used as P(T|tros) and P(T|edu) parameters of Eq 3).

Dots–estimates, solid line–linear regression, dashed line–Y = X line. (TIF)

Bibliographic Details
Main Authors: Vadim Khaitov (2589874), Julia Marchenko (11177903), Marina Katolikova (2589880), Risto Väinölä (2589886), Sarah E. Kingston (3608393), David B. Carlon (11177906), Michael Gantsevich (2589877), Petr Strelkov (2589883)
Format: Still Image
Language:unknown
Published: 2021
Subjects:
Online Access:https://doi.org/10.1371/journal.pone.0249587.s004
id ftsmithonian:oai:figshare.com:article/15045764
record_format openpolar
spelling ftsmithonian:oai:figshare.com:article/15045764 2023-05-15T14:57:27+02:00 Correspondence between empirical estimates of Ptros in samples and predictions of the “lazy Ptros by PT calculator” (the highest and the lowest PT in samples from regional sets are used as P(T|tros) and P(T|edu) parameters of Eq 3). Vadim Khaitov (2589874) Julia Marchenko (11177903) Marina Katolikova (2589880) Risto Väinölä (2589886) Sarah E. Kingston (3608393) David B. Carlon (11177906) Michael Gantsevich (2589877) Petr Strelkov (2589883) 2021-07-23T17:34:32Z https://doi.org/10.1371/journal.pone.0249587.s004 unknown https://figshare.com/articles/figure/Correspondence_between_empirical_estimates_of_i_Ptros_i_in_samples_and_predictions_of_the_lazy_i_Ptros_i_by_i_PT_i_calculator_the_highest_and_the_lowest_i_PT_i_in_samples_from_regional_sets_are_used_as_i_P_T_tros_i_and_i_P_T_edu_i_parameter/15045764 doi:10.1371/journal.pone.0249587.s004 CC BY 4.0 CC-BY Evolutionary Biology Ecology Inorganic Chemistry Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified morphotype trossulu White Sea semi-diagnostic conchological character Arctic Barents Sea species identification mussels Mytilus edulis L Baltic Sea unstudied contact zones Image Figure 2021 ftsmithonian https://doi.org/10.1371/journal.pone.0249587.s004 2021-07-25T16:24:03Z Dots–estimates, solid line–linear regression, dashed line–Y = X line. (TIF) Still Image Arctic Barents Sea White Sea Unknown Arctic Barents Sea White Sea
institution Open Polar
collection Unknown
op_collection_id ftsmithonian
language unknown
topic Evolutionary Biology
Ecology
Inorganic Chemistry
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
morphotype
trossulu
White Sea
semi-diagnostic conchological character
Arctic Barents Sea
species identification
mussels Mytilus edulis L
Baltic Sea
unstudied contact zones
spellingShingle Evolutionary Biology
Ecology
Inorganic Chemistry
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
morphotype
trossulu
White Sea
semi-diagnostic conchological character
Arctic Barents Sea
species identification
mussels Mytilus edulis L
Baltic Sea
unstudied contact zones
Vadim Khaitov (2589874)
Julia Marchenko (11177903)
Marina Katolikova (2589880)
Risto Väinölä (2589886)
Sarah E. Kingston (3608393)
David B. Carlon (11177906)
Michael Gantsevich (2589877)
Petr Strelkov (2589883)
Correspondence between empirical estimates of Ptros in samples and predictions of the “lazy Ptros by PT calculator” (the highest and the lowest PT in samples from regional sets are used as P(T|tros) and P(T|edu) parameters of Eq 3).
topic_facet Evolutionary Biology
Ecology
Inorganic Chemistry
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
morphotype
trossulu
White Sea
semi-diagnostic conchological character
Arctic Barents Sea
species identification
mussels Mytilus edulis L
Baltic Sea
unstudied contact zones
description Dots–estimates, solid line–linear regression, dashed line–Y = X line. (TIF)
format Still Image
author Vadim Khaitov (2589874)
Julia Marchenko (11177903)
Marina Katolikova (2589880)
Risto Väinölä (2589886)
Sarah E. Kingston (3608393)
David B. Carlon (11177906)
Michael Gantsevich (2589877)
Petr Strelkov (2589883)
author_facet Vadim Khaitov (2589874)
Julia Marchenko (11177903)
Marina Katolikova (2589880)
Risto Väinölä (2589886)
Sarah E. Kingston (3608393)
David B. Carlon (11177906)
Michael Gantsevich (2589877)
Petr Strelkov (2589883)
author_sort Vadim Khaitov (2589874)
title Correspondence between empirical estimates of Ptros in samples and predictions of the “lazy Ptros by PT calculator” (the highest and the lowest PT in samples from regional sets are used as P(T|tros) and P(T|edu) parameters of Eq 3).
title_short Correspondence between empirical estimates of Ptros in samples and predictions of the “lazy Ptros by PT calculator” (the highest and the lowest PT in samples from regional sets are used as P(T|tros) and P(T|edu) parameters of Eq 3).
title_full Correspondence between empirical estimates of Ptros in samples and predictions of the “lazy Ptros by PT calculator” (the highest and the lowest PT in samples from regional sets are used as P(T|tros) and P(T|edu) parameters of Eq 3).
title_fullStr Correspondence between empirical estimates of Ptros in samples and predictions of the “lazy Ptros by PT calculator” (the highest and the lowest PT in samples from regional sets are used as P(T|tros) and P(T|edu) parameters of Eq 3).
title_full_unstemmed Correspondence between empirical estimates of Ptros in samples and predictions of the “lazy Ptros by PT calculator” (the highest and the lowest PT in samples from regional sets are used as P(T|tros) and P(T|edu) parameters of Eq 3).
title_sort correspondence between empirical estimates of ptros in samples and predictions of the “lazy ptros by pt calculator” (the highest and the lowest pt in samples from regional sets are used as p(t|tros) and p(t|edu) parameters of eq 3).
publishDate 2021
url https://doi.org/10.1371/journal.pone.0249587.s004
geographic Arctic
Barents Sea
White Sea
geographic_facet Arctic
Barents Sea
White Sea
genre Arctic
Barents Sea
White Sea
genre_facet Arctic
Barents Sea
White Sea
op_relation https://figshare.com/articles/figure/Correspondence_between_empirical_estimates_of_i_Ptros_i_in_samples_and_predictions_of_the_lazy_i_Ptros_i_by_i_PT_i_calculator_the_highest_and_the_lowest_i_PT_i_in_samples_from_regional_sets_are_used_as_i_P_T_tros_i_and_i_P_T_edu_i_parameter/15045764
doi:10.1371/journal.pone.0249587.s004
op_rights CC BY 4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.1371/journal.pone.0249587.s004
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