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)
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2021
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Online Access: | https://doi.org/10.1371/journal.pone.0249587.s004 |
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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 |
_version_ |
1766329547132764160 |