Ikari, Matt J (2020): Table 3: Fits to the frictional healing and creep relaxation measurements [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.919908, In: Ikari, MJ (2020): Frictional Healing Measurements on SAFOD Samples [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.919909
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Published: 2020-07-07 • DOI registered: 2020-08-07
Related to:
Ikari, Matt J; Carpenter, Brett M; Vogt, Christoph; Kopf, Achim J (2016): Elevated time-dependent strengthening rates observed in San Andreas Fault drilling samples. Earth and Planetary Science Letters, 450, 164-172, https://doi.org/10.1016/j.epsl.2016.06.036
Coverage:
Latitude: 35.974258 * Longitude: -120.552107
Event(s):
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Sample code/label | Sample label | Ikari, Matt J | |||
| 2 | Identification | ID | Ikari, Matt J | SAFOD Phase III ID | ||
| 3 | Sample type | Samp type | Ikari, Matt J | |||
| 4 | Healing rate | beta | 1/decade | Ikari, Matt J | Log-linear (10-3000 s) | |
| 5 | Coefficient of determination | R**2 | Ikari, Matt J | Healing Rate R**2, Log-linear (10-3000 s) | ||
| 6 | Relaxation rate | beta c | 1/decade | Ikari, Matt J | Log-linear (10-3000 s) | |
| 7 | Coefficient of determination | R**2 | Ikari, Matt J | Relaxation Rate R**2, Log-linear (10-3000 s) | ||
| 8 | Healing rate | beta | 1/decade | Ikari, Matt J | Log-linear (10-340000 s) | |
| 9 | Coefficient of determination | R**2 | Ikari, Matt J | Healing Rate R**2, Log-linear (10-340000 s) | ||
| 10 | Relaxation rate | beta c | 1/decade | Ikari, Matt J | Log-linear (10-340000 s) | |
| 11 | Coefficient of determination | R**2 | Ikari, Matt J | Relaxation Rate R**2, Log-linear (10-340000 s) | ||
| 12 | Healing coefficient | A | 1/s | Ikari, Matt J | Power Law | |
| 13 | Healing exponent | ω | Ikari, Matt J | Power Law | ||
| 14 | Coefficient of determination | R**2 | Ikari, Matt J | Power Law |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
98 data points
