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Part 1: Document Description
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Citation |
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Title: |
Data for: Measurement Campaign of Gaseous CO2 Concentrations in a Karst Cave with Aqueous Concentrations in a Stagnant Water Column 2021-2022. |
Identification Number: |
doi:10.18419/darus-3271 |
Distributor: |
DaRUS |
Date of Distribution: |
2023-02-13 |
Version: |
1 |
Bibliographic Citation: |
Keim, Leon; Class, Holger; Schirmer, Larissa; Wendel, Kai; Strauch, Bettina; Zimmer, Martin, 2023, "Data for: Measurement Campaign of Gaseous CO2 Concentrations in a Karst Cave with Aqueous Concentrations in a Stagnant Water Column 2021-2022.", https://doi.org/10.18419/DARUS-3271, DaRUS, V1 |
Citation |
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Title: |
Data for: Measurement Campaign of Gaseous CO2 Concentrations in a Karst Cave with Aqueous Concentrations in a Stagnant Water Column 2021-2022. |
Identification Number: |
doi:10.18419/darus-3271 |
Authoring Entity: |
Keim, Leon (Universität Stuttgart) |
Class, Holger (Universität Stuttgart) |
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Schirmer, Larissa (Universität Stuttgart) |
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Wendel, Kai (Universität Stuttgart) |
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Strauch, Bettina (GFZ German Research Centre for Geosciences) |
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Zimmer, Martin (GFZ German Research Centre for Geosciences) |
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Software used in Production: |
Python |
Grant Number: |
EXC 2075 - 390740016 |
Grant Number: |
327154368 - SFB 1313 |
Distributor: |
DaRUS |
Access Authority: |
Keim, Leon |
Depositor: |
Keim, Leon |
Date of Deposit: |
2022-11-22 |
Holdings Information: |
https://doi.org/10.18419/DARUS-3271 |
Study Scope |
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Keywords: |
Computer and Information Science, Earth and Environmental Sciences, Engineering, Karst, DuMuX, CO2-dissolution, convective-mixing, CO2 |
Abstract: |
This dataset contains data generated during the measurement campaign inside the karst cave. The CO2 sensors in the cave air will continue to measure (as of Feb. 2023). </br> For details on the site etc. see</br> <a href="https://doi.org/10.3390/geosciences13020051">https://doi.org/10.3390/geosciences13020051</a> </br></br> To create the graphs in the <a href="https://doi.org/10.3390/geosciences13020051">Class et al. 2023</a> </br> Download <b>cave-data.tar.xz</b>, make sure you have the dependencies shown in <b>requirements_paper_2022.txt</b>. Then one can recreate the graphs by running the jupyter-notebook in that directory. </br></br> Structure of the dataset: <ul> <li><b>cave-data.tar.xz</b>: contains the data produced during the measurement campaign. Additionally, all the figures of (todo: add paper doi) are created here.</li> <li> <b>grid_const.tar.gz</b>: contains the data generated by the grid study with constant CO2 concentration at the top. </li> <li><b>grid_data.tar.gz</b>: contains the data generated by the grid study with measured CO2 concentration at the top </li> <li><b>3D.tar.gz</b>: contains data generated by the 2D and 3D comparison</li> <li><b>cave_sims.tar.gz</b>: contains details on the simulation of the whole column. Specifically, figures and a video on the development of vortex cascades.</li> <li><b>requirements_paper_2022.txt</b>: contains python modules for the post-processing.</li> </ul> The main focus of this dataset lies on the data generated in the cave. Items in <b>cave-data.tar.xz</b> are: <ul> <li><b>Raw_data</b> contains the CO2(g) and pressure measurements in csv files.</li> <li><b>DWD_data</b> contains the pressure,temperature and precipitation data from the DWD ('Deutscher Wetterdienst'). Pressure/temperature is measured in Stötten (30km apart) and precipitation is measured in Westerheim (5km apart).</li> <li><b>Control_data_temperature</b> contains the temperature data from additional temperature sensors. This data is used for comparison only.</li> <li><b>Control_data_CO2</b> contains the CO2(g) data from additional CO2(g) sensors. This data is used for comparison only.</li> <li><b>Sim_data</b> contains results from various simulations.</li> <li>The script <b> Cave_measures_sim_plot.ipynb </b> contains the code to process and visualize the data. Furthermore, the titration results are directly written into the script.</li> </ul> |
Methodology and Processing |
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Sources Statement |
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Data Sources: |
DWD Climate Data Center (CDC): Historical monthly precipitation observations for Germany, version v21.3, 2021. |
<br>DWD Climate Data Center (CDC): Recent monthly precipitation observations for Germany, quality control not completed yet, version recent, last accessed: 2022-11-22. |
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<br>DWD Climate Data Center (CDC): Recent sub daily pressure observations for Germany, quality control not completed yet, version recent, last accessed: 2022-11-11. |
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<br>DWD Climate Data Center (CDC): Recent daily precipitation observations for Germany, quality control not completed yet, version recent, last accessed: 2022-12-23. |
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<br>DWD Climate Data Center (CDC): Recent daily station observations (temperature, pressure, precipitation, sunshine duration, etc.) for Germany, quality control not completed yet, version recent, last accessed: 2023-01-23 |
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Data Access |
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Other Study Description Materials |
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Related Studies |
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Keim, Leon; Class, Holger; Schirmer, Larissa; Strauch, Bettina; Wendel, Kai; Zimmer, Martin, 2023, "Code for: Seasonal Dynamics of Gaseous CO2 Concentrations in a Karst Cave Correspond With Aqueous Concentrations in a Stagnant Water Column", <a href="https://doi.org/10.18419/darus-3276">https://doi.org/10.18419/darus-3276</a> |
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Related Publications |
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Citation |
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Title: |
Class, H.; Keim, L.; Schirmer, L.; Strauch, B.; Wendel, K.; Zimmer, M. Seasonal Dynamics of Gaseous CO2 Concentrations in a Karst Cave Correspond with Aqueous Concentrations in a Stagnant Water Column. Geosciences 2023, 13, 51. |
Identification Number: |
10.3390/geosciences13020051 |
Bibliographic Citation: |
Class, H.; Keim, L.; Schirmer, L.; Strauch, B.; Wendel, K.; Zimmer, M. Seasonal Dynamics of Gaseous CO2 Concentrations in a Karst Cave Correspond with Aqueous Concentrations in a Stagnant Water Column. Geosciences 2023, 13, 51. |
Label: |
3D.tar.gz |
Notes: |
application/gzip |
Label: |
cave-data.tar.xz |
Notes: |
application/x-xz |
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cave_sims.tar.gz |
Notes: |
application/gzip |
Label: |
grid_const.tar.gz |
Notes: |
application/gzip |
Label: |
grid_data.tar.gz |
Notes: |
application/gzip |
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requirements_paper_2022.txt |
Notes: |
text/plain |