Data set used in glacier algae and filamentous cyanobacteria models

This is a data set for using the glacier algae and filamentous cyanobacteriamodels (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(CSVfiles). And, model input and...

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Main Authors: Yukihiko Onuma, Nozomu Takeuchi, Kei Yoshimura, Jun Uetake, Masashi Niwano, Sota Tanaka, Naoko Nagatsuka, Teruo Aoki
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2022
Subjects:
numerical modelling
algae
cyanobacteria
Greenland
glacier
Qaanaaq
Ice cap
Online Access:https://doi.org/10.5281/zenodo.5865486
id ftzenodo:oai:zenodo.org:5865486
record_format openpolar
spelling ftzenodo:oai:zenodo.org:5865486 2024-09-09T19:41:17+00:00 Data set used in glacier algae and filamentous cyanobacteria models Yukihiko Onuma Nozomu Takeuchi Kei Yoshimura Jun Uetake Masashi Niwano Sota Tanaka Naoko Nagatsuka Teruo Aoki 2022-01-17 https://doi.org/10.5281/zenodo.5865486 unknown Zenodo https://doi.org/10.5281/zenodo.5865485 https://doi.org/10.5281/zenodo.5865486 oai:zenodo.org:5865486 info:eu-repo/semantics/restrictedAccess numerical modelling algae cyanobacteria Greenland glacier info:eu-repo/semantics/other 2022 ftzenodo https://doi.org/10.5281/zenodo.586548610.5281/zenodo.5865485 2024-07-26T13:11:17Z This is a data set for using the glacier algae and filamentous cyanobacteriamodels (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(CSVfiles). And, model input and output data (CSVfiles). - python: programs for the visualization (python scripts) - figure: png files created by the python scripts Other/Unknown Material glacier Greenland Ice cap Qaanaaq Zenodo Greenland Qaanaaq ENVELOPE(-69.232,-69.232,77.467,77.467)
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic numerical modelling
algae
cyanobacteria
Greenland
glacier
spellingShingle numerical modelling
algae
cyanobacteria
Greenland
glacier
Yukihiko Onuma
Nozomu Takeuchi
Kei Yoshimura
Jun Uetake
Masashi Niwano
Sota Tanaka
Naoko Nagatsuka
Teruo Aoki
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 cyanobacteriamodels (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(CSVfiles). And, model input and output data (CSVfiles). - python: programs for the visualization (python scripts) - figure: png files created by the python scripts
format Other/Unknown Material
author Yukihiko Onuma
Nozomu Takeuchi
Kei Yoshimura
Jun Uetake
Masashi Niwano
Sota Tanaka
Naoko Nagatsuka
Teruo Aoki
author_facet Yukihiko Onuma
Nozomu Takeuchi
Kei Yoshimura
Jun Uetake
Masashi Niwano
Sota Tanaka
Naoko Nagatsuka
Teruo Aoki
author_sort Yukihiko Onuma
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://doi.org/10.5281/zenodo.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://doi.org/10.5281/zenodo.5865485
https://doi.org/10.5281/zenodo.5865486
oai:zenodo.org:5865486
op_rights info:eu-repo/semantics/restrictedAccess
op_doi https://doi.org/10.5281/zenodo.586548610.5281/zenodo.5865485
_version_ 1809910714607861760

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