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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Bibliographic Details
Main Authors: Kloster, Michael, Kauer, Gerhard, Beszteri, Bánk
Format: Dataset
Language:English
Published: PANGAEA 2014
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.833665
https://doi.pangaea.de/10.1594/PANGAEA.833665
id ftdatacite:10.1594/pangaea.833665
record_format openpolar
spelling 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
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id 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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