Fragilariopsis kerguelensis images from sediment core PS1768-8 ...
Background: Light microscopic analysis of diatom frustules is widely used both in basic and applied research, notably taxonomy, morphometrics, water quality monitoring and paleo-environmental studies. In these applications, usually large numbers of frustules need to be identified and / or measured....
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ftdatacite:10.1594/pangaea.833665 2023-10-01T03:52:07+02:00 Fragilariopsis kerguelensis images from sediment core PS1768-8 ... Kloster, Michael Kauer, Gerhard Beszteri, Bánk 2014 application/zip https://dx.doi.org/10.1594/pangaea.833665 https://doi.pangaea.de/10.1594/PANGAEA.833665 en eng PANGAEA https://dx.doi.org/10.1186/1471-2105-15-218 Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 Gravity corer Kiel type ANT-VIII/3 Polarstern Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas SPP1158 Dataset Supplementary Dataset dataset 2014 ftdatacite https://doi.org/10.1594/pangaea.83366510.1186/1471-2105-15-218 2023-09-04T14:52:34Z Background: Light microscopic analysis of diatom frustules is widely used both in basic and applied research, notably taxonomy, morphometrics, water quality monitoring and paleo-environmental studies. In these applications, usually large numbers of frustules need to be identified and / or measured. Although there is a need for automation in these applications, and image processing and analysis methods supporting these tasks have previously been developed, they did not become widespread in diatom analysis. While methodological reports for a wide variety of methods for image segmentation, diatom identification and feature extraction are available, no single implementation combining a subset of these into a readily applicable workflow accessible to diatomists exists.Results: The newly developed tool SHERPA offers a versatile image processing workflow focused on the identification and measurement of object outlines, handling all steps from image segmentation over object identification to feature extraction, and ... : Extended focus depth light microscopic images of valves of the diatom Fragilariopsis kerguelensis from sediment core PS1768-8 at 20 cm depth. These images were used as a test data set for the diatom image analysis tool SHERPA (SHape Recognition, Processing and Analysis, http://www.awi.de/en/science/biosciences/polar-biological-oceanography/main-research-focus/hustedt-diatom-study-centre/sherpa.html). ... Dataset Antarc* Antarctic Arctic Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic Antarctic |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
English |
topic |
Gravity corer Kiel type ANT-VIII/3 Polarstern Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas SPP1158 |
spellingShingle |
Gravity corer Kiel type ANT-VIII/3 Polarstern Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas SPP1158 Kloster, Michael Kauer, Gerhard Beszteri, Bánk Fragilariopsis kerguelensis images from sediment core PS1768-8 ... |
topic_facet |
Gravity corer Kiel type ANT-VIII/3 Polarstern Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas SPP1158 |
description |
Background: Light microscopic analysis of diatom frustules is widely used both in basic and applied research, notably taxonomy, morphometrics, water quality monitoring and paleo-environmental studies. In these applications, usually large numbers of frustules need to be identified and / or measured. Although there is a need for automation in these applications, and image processing and analysis methods supporting these tasks have previously been developed, they did not become widespread in diatom analysis. While methodological reports for a wide variety of methods for image segmentation, diatom identification and feature extraction are available, no single implementation combining a subset of these into a readily applicable workflow accessible to diatomists exists.Results: The newly developed tool SHERPA offers a versatile image processing workflow focused on the identification and measurement of object outlines, handling all steps from image segmentation over object identification to feature extraction, and ... : Extended focus depth light microscopic images of valves of the diatom Fragilariopsis kerguelensis from sediment core PS1768-8 at 20 cm depth. These images were used as a test data set for the diatom image analysis tool SHERPA (SHape Recognition, Processing and Analysis, http://www.awi.de/en/science/biosciences/polar-biological-oceanography/main-research-focus/hustedt-diatom-study-centre/sherpa.html). ... |
format |
Dataset |
author |
Kloster, Michael Kauer, Gerhard Beszteri, Bánk |
author_facet |
Kloster, Michael Kauer, Gerhard Beszteri, Bánk |
author_sort |
Kloster, Michael |
title |
Fragilariopsis kerguelensis images from sediment core PS1768-8 ... |
title_short |
Fragilariopsis kerguelensis images from sediment core PS1768-8 ... |
title_full |
Fragilariopsis kerguelensis images from sediment core PS1768-8 ... |
title_fullStr |
Fragilariopsis kerguelensis images from sediment core PS1768-8 ... |
title_full_unstemmed |
Fragilariopsis kerguelensis images from sediment core PS1768-8 ... |
title_sort |
fragilariopsis kerguelensis images from sediment core ps1768-8 ... |
publisher |
PANGAEA |
publishDate |
2014 |
url |
https://dx.doi.org/10.1594/pangaea.833665 https://doi.pangaea.de/10.1594/PANGAEA.833665 |
geographic |
Arctic Antarctic |
geographic_facet |
Arctic Antarctic |
genre |
Antarc* Antarctic Arctic Sea ice |
genre_facet |
Antarc* Antarctic Arctic Sea ice |
op_relation |
https://dx.doi.org/10.1186/1471-2105-15-218 |
op_rights |
Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 |
op_doi |
https://doi.org/10.1594/pangaea.83366510.1186/1471-2105-15-218 |
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1778517717406449664 |