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Part 1: Document Description
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Citation |
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Title: |
Mines Fault Detection Data |
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Identification Number: |
doi:10.7910/DVN/G8LCHB |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2022-09-23 |
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Version: |
2 |
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Bibliographic Citation: |
Klanderman, Molly; Mastin, Natalie; Hering, Amanda S.; Cath, Tzahi Y., 2022, "Mines Fault Detection Data", https://doi.org/10.7910/DVN/G8LCHB, Harvard Dataverse, V2 |
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Citation |
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Title: |
Mines Fault Detection Data |
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Identification Number: |
doi:10.7910/DVN/G8LCHB |
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Authoring Entity: |
Klanderman, Molly |
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Mastin, Natalie (Baylor University) |
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Hering, Amanda S. (Baylor University) |
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Cath, Tzahi Y. (Colorado School of Mines) |
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Grant Number: |
HDR:DSC 1924146 |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Hering, Amanda. S |
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Depositor: |
Mastin, Natalie |
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Date of Deposit: |
2022-09-22 |
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Holdings Information: |
https://doi.org/10.7910/DVN/G8LCHB |
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Study Scope |
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Keywords: |
Earth and Environmental Sciences, Mathematical Sciences |
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Abstract: |
A water quality data set from the Colorado School of Mines Wastewater Treatment Plant (Mines Park) used to predict faults. Observations are recorded every 10 minutes from April 10, 2010 at 6:10 AM to May 11, 2010 at 5:00 AM. A fault was identified on April 24, 2010 at 10:00 AM. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
This dataset is to be published under a CC BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/ |
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Other Study Description Materials |
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Label: |
mines_fault.csv |
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Text: |
CSV data file |
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Notes: |
text/csv |
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Label: |
mines_fault_diagram.png |
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Text: |
Process Diagram |
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Notes: |
image/png |
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Label: |
mines_fault.Rd |
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Text: |
R description/readme |
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Notes: |
application/octet-stream |
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Label: |
mines_fault.rda |
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Text: |
R data object |
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Notes: |
application/octet-stream |