Data set used in glacier algae and filamentous cyanobacteria models
This is a data set for using the glacier algae and filamentous cyanobacteria models (Onuma et al., under review). The content is as below. - data: observed data (bio-volume, mineral weight, EC, pH and meteorological conditions) on the bare ice surface in Qaanaaq Ice Cap (CSV files). And, model input...
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Online Access: | https://dx.doi.org/10.5281/zenodo.5865486 https://zenodo.org/record/5865486 |
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ftdatacite:10.5281/zenodo.5865486 2023-05-15T16:20:58+02:00 Data set used in glacier algae and filamentous cyanobacteria models Onuma, Yukihiko Takeuchi, Nozomu Yoshimura, Kei Uetake, Jun Niwano, Masashi Sota Tanaka Nagatsuka, Naoko Aoki, Teruo 2022 https://dx.doi.org/10.5281/zenodo.5865486 https://zenodo.org/record/5865486 unknown Zenodo https://dx.doi.org/10.5281/zenodo.5865485 Restricted Access info:eu-repo/semantics/restrictedAccess numerical modelling, algae, cyanobacteria, Greenland, glacier Dataset dataset 2022 ftdatacite https://doi.org/10.5281/zenodo.5865486 https://doi.org/10.5281/zenodo.5865485 2022-02-09T12:33:28Z This is a data set for using the glacier algae and filamentous cyanobacteria models (Onuma et al., under review). The content is as below. - data: observed data (bio-volume, mineral weight, EC, pH and meteorological conditions) on the bare ice surface in Qaanaaq Ice Cap (CSV files). And, model input and output data (CSV files). - python: programs for the visualization (python scripts) - figure: png files created by the python scripts Dataset glacier Greenland Ice cap Qaanaaq DataCite Metadata Store (German National Library of Science and Technology) Greenland Qaanaaq ENVELOPE(-69.232,-69.232,77.467,77.467) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
numerical modelling, algae, cyanobacteria, Greenland, glacier |
spellingShingle |
numerical modelling, algae, cyanobacteria, Greenland, glacier Onuma, Yukihiko Takeuchi, Nozomu Yoshimura, Kei Uetake, Jun Niwano, Masashi Sota Tanaka Nagatsuka, Naoko Aoki, Teruo Data set used in glacier algae and filamentous cyanobacteria models |
topic_facet |
numerical modelling, algae, cyanobacteria, Greenland, glacier |
description |
This is a data set for using the glacier algae and filamentous cyanobacteria models (Onuma et al., under review). The content is as below. - data: observed data (bio-volume, mineral weight, EC, pH and meteorological conditions) on the bare ice surface in Qaanaaq Ice Cap (CSV files). And, model input and output data (CSV files). - python: programs for the visualization (python scripts) - figure: png files created by the python scripts |
format |
Dataset |
author |
Onuma, Yukihiko Takeuchi, Nozomu Yoshimura, Kei Uetake, Jun Niwano, Masashi Sota Tanaka Nagatsuka, Naoko Aoki, Teruo |
author_facet |
Onuma, Yukihiko Takeuchi, Nozomu Yoshimura, Kei Uetake, Jun Niwano, Masashi Sota Tanaka Nagatsuka, Naoko Aoki, Teruo |
author_sort |
Onuma, Yukihiko |
title |
Data set used in glacier algae and filamentous cyanobacteria models |
title_short |
Data set used in glacier algae and filamentous cyanobacteria models |
title_full |
Data set used in glacier algae and filamentous cyanobacteria models |
title_fullStr |
Data set used in glacier algae and filamentous cyanobacteria models |
title_full_unstemmed |
Data set used in glacier algae and filamentous cyanobacteria models |
title_sort |
data set used in glacier algae and filamentous cyanobacteria models |
publisher |
Zenodo |
publishDate |
2022 |
url |
https://dx.doi.org/10.5281/zenodo.5865486 https://zenodo.org/record/5865486 |
long_lat |
ENVELOPE(-69.232,-69.232,77.467,77.467) |
geographic |
Greenland Qaanaaq |
geographic_facet |
Greenland Qaanaaq |
genre |
glacier Greenland Ice cap Qaanaaq |
genre_facet |
glacier Greenland Ice cap Qaanaaq |
op_relation |
https://dx.doi.org/10.5281/zenodo.5865485 |
op_rights |
Restricted Access info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.5281/zenodo.5865486 https://doi.org/10.5281/zenodo.5865485 |
_version_ |
1766008989742530560 |