Ikari, Matt J (2020): (Table 3) Velocity-dependent friction parameters for DFDP-1A and DFDP-1B core samples at 100 MPa and 160 °C [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.918328, In: Ikari, MJ (2020): Laboratory friction measurements of the Alpine Fault, New Zealand [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.918375
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Published: 2020-06-04 • DOI registered: 2020-07-07
Related to:
Ikari, Matt J; Trütner, S; Carpenter, Brett M; Kopf, Achim J (2015): Shear behavior of DFDP-1 borehole samples from the Alpine Fault, New Zealand, under a wide range of experimental conditions. International Journal of Earth Sciences, 104(6), 1523-1535, https://doi.org/10.1007/s00531-014-1115-5
Coverage:
Latitude: -43.316071 * Longitude: 170.325497
Minimum DEPTH, sediment/rock: 76.2 m * Maximum DEPTH, sediment/rock: 136.9 m
Event(s):
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Event label | Event | Ikari, Matt J | |||
| 2 | Experiment | Exp | Ikari, Matt J | |||
| 3 | Sample code/label | Sample label | Ikari, Matt J | |||
| 4 | DEPTH, sediment/rock | Depth sed | m | Ikari, Matt J | Geocode | |
| 5 | Sliding velocity | V | µm/s | Ikari, Matt J | Vo | |
| 6 | Sliding velocity | V | µm/s | Ikari, Matt J | V | |
| 7 | Constant | Const | Ikari, Matt J | a | ||
| 8 | Constant | Const | Ikari, Matt J | b1 | ||
| 9 | Critical slip distance | Dc | µm | Ikari, Matt J | Dc1 | |
| 10 | Constant | Const | Ikari, Matt J | b2 | ||
| 11 | Critical slip distance | Dc | µm | Ikari, Matt J | Dc2 | |
| 12 | Parameter | Parameter | arbitrary units | Ikari, Matt J | a-b | |
| 13 | Standard deviation | Std dev | ± | Ikari, Matt J | a | |
| 14 | Standard deviation | Std dev | ± | Ikari, Matt J | b1 | |
| 15 | Standard deviation | Std dev | ± | Ikari, Matt J | Dc1 | |
| 16 | Standard deviation | Std dev | ± | Ikari, Matt J | b2 | |
| 17 | Standard deviation | Std dev | ± | Ikari, Matt J | Dc2 |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
412 data points
