Additional file 1 of Machine-learning strategies for testing patterns of morphological variation in small samples: sexual dimorphism in gray wolf (Canis lupus) crania
Additional file 1. A plate of all 2D images of the C. lupus crania in both dorso-ventral and lateral views collected from the 3D scans and used as the proximal subjects of the investigation.
| Main Authors: | , |
|---|---|
| Format: | Text |
| Language: | unknown |
| Published: |
figshare
2020
|
| Subjects: | |
| Online Access: | https://dx.doi.org/10.6084/m9.figshare.12916556 https://springernature.figshare.com/articles/journal_contribution/Additional_file_1_of_Machine-learning_strategies_for_testing_patterns_of_morphological_variation_in_small_samples_sexual_dimorphism_in_gray_wolf_Canis_lupus_crania/12916556 |
| id |
ftdatacite:10.6084/m9.figshare.12916556 |
|---|---|
| record_format |
openpolar |
| spelling |
ftdatacite:10.6084/m9.figshare.12916556 2023-05-15T15:49:46+02:00 Additional file 1 of Machine-learning strategies for testing patterns of morphological variation in small samples: sexual dimorphism in gray wolf (Canis lupus) crania MacLeod, Norman Horwitz, Liora Kolska 2020 https://dx.doi.org/10.6084/m9.figshare.12916556 https://springernature.figshare.com/articles/journal_contribution/Additional_file_1_of_Machine-learning_strategies_for_testing_patterns_of_morphological_variation_in_small_samples_sexual_dimorphism_in_gray_wolf_Canis_lupus_crania/12916556 unknown figshare https://dx.doi.org/10.1186/s12915-020-00832-1 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Physiology FOS Biological sciences 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences 39999 Chemical Sciences not elsewhere classified FOS Chemical sciences Sociology FOS Sociology 19999 Mathematical Sciences not elsewhere classified FOS Mathematics 111714 Mental Health FOS Health sciences Text article-journal Journal contribution ScholarlyArticle 2020 ftdatacite https://doi.org/10.6084/m9.figshare.12916556 https://doi.org/10.1186/s12915-020-00832-1 2021-11-05T12:55:41Z Additional file 1. A plate of all 2D images of the C. lupus crania in both dorso-ventral and lateral views collected from the 3D scans and used as the proximal subjects of the investigation. Text Canis lupus gray wolf DataCite Metadata Store (German National Library of Science and Technology) |
| institution |
Open Polar |
| collection |
DataCite Metadata Store (German National Library of Science and Technology) |
| op_collection_id |
ftdatacite |
| language |
unknown |
| topic |
Physiology FOS Biological sciences 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences 39999 Chemical Sciences not elsewhere classified FOS Chemical sciences Sociology FOS Sociology 19999 Mathematical Sciences not elsewhere classified FOS Mathematics 111714 Mental Health FOS Health sciences |
| spellingShingle |
Physiology FOS Biological sciences 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences 39999 Chemical Sciences not elsewhere classified FOS Chemical sciences Sociology FOS Sociology 19999 Mathematical Sciences not elsewhere classified FOS Mathematics 111714 Mental Health FOS Health sciences MacLeod, Norman Horwitz, Liora Kolska Additional file 1 of Machine-learning strategies for testing patterns of morphological variation in small samples: sexual dimorphism in gray wolf (Canis lupus) crania |
| topic_facet |
Physiology FOS Biological sciences 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences 39999 Chemical Sciences not elsewhere classified FOS Chemical sciences Sociology FOS Sociology 19999 Mathematical Sciences not elsewhere classified FOS Mathematics 111714 Mental Health FOS Health sciences |
| description |
Additional file 1. A plate of all 2D images of the C. lupus crania in both dorso-ventral and lateral views collected from the 3D scans and used as the proximal subjects of the investigation. |
| format |
Text |
| author |
MacLeod, Norman Horwitz, Liora Kolska |
| author_facet |
MacLeod, Norman Horwitz, Liora Kolska |
| author_sort |
MacLeod, Norman |
| title |
Additional file 1 of Machine-learning strategies for testing patterns of morphological variation in small samples: sexual dimorphism in gray wolf (Canis lupus) crania |
| title_short |
Additional file 1 of Machine-learning strategies for testing patterns of morphological variation in small samples: sexual dimorphism in gray wolf (Canis lupus) crania |
| title_full |
Additional file 1 of Machine-learning strategies for testing patterns of morphological variation in small samples: sexual dimorphism in gray wolf (Canis lupus) crania |
| title_fullStr |
Additional file 1 of Machine-learning strategies for testing patterns of morphological variation in small samples: sexual dimorphism in gray wolf (Canis lupus) crania |
| title_full_unstemmed |
Additional file 1 of Machine-learning strategies for testing patterns of morphological variation in small samples: sexual dimorphism in gray wolf (Canis lupus) crania |
| title_sort |
additional file 1 of machine-learning strategies for testing patterns of morphological variation in small samples: sexual dimorphism in gray wolf (canis lupus) crania |
| publisher |
figshare |
| publishDate |
2020 |
| url |
https://dx.doi.org/10.6084/m9.figshare.12916556 https://springernature.figshare.com/articles/journal_contribution/Additional_file_1_of_Machine-learning_strategies_for_testing_patterns_of_morphological_variation_in_small_samples_sexual_dimorphism_in_gray_wolf_Canis_lupus_crania/12916556 |
| genre |
Canis lupus gray wolf |
| genre_facet |
Canis lupus gray wolf |
| op_relation |
https://dx.doi.org/10.1186/s12915-020-00832-1 |
| op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
| op_rightsnorm |
CC-BY |
| op_doi |
https://doi.org/10.6084/m9.figshare.12916556 https://doi.org/10.1186/s12915-020-00832-1 |
| _version_ |
1766384796826599424 |