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Datasets and Codes for "Relative Moment Tensor Inversion for Microseismicity: Application to Clustered Earthquakes in the Cascadia Forearc"

<p>This Zenodo record contains the supplementary datasets and code for the paper titled "Relative Moment Tensor Inversion for Microseismicity: Application to Clustered Earthquakes in the Cascadia Forearc."<br><br></p> <p><strong>Datasets</strong></p> <ul> <li>phases.txt<br>&nbsp; &nbsp; Contains phases used for the event location and moment tensor inversion.<br>&nbsp; &nbsp; Format: ID, &nbsp; &nbsp;station, &nbsp; &nbsp;phase, &nbsp; &nbsp;year, &nbsp; &nbsp;month, &nbsp; &nbsp;day, &nbsp; &nbsp;secday<br>&nbsp; &nbsp; ID: Event identifier (same for all files)<br>&nbsp; &nbsp; station: Station name<br>&nbsp; &nbsp; phase: 1 for P-wave or 2 for S-wave<br>&nbsp; &nbsp; secday: Seconds in the day</li> <li>polarity.txt<br>&nbsp; &nbsp; Contains first motion P polarity used in the study.<br>&nbsp; &nbsp; Format: ID, station, polarity, trust, type<br>&nbsp; &nbsp; polarity: 1 for up or -1 for down<br>&nbsp; &nbsp; trust: Value between 0 and 1, indicating confidence level.<br>&nbsp; &nbsp; type: E for emergent or I for impulsive<br>&nbsp; &nbsp; Note that the arrival type has been automatically assigned and not double-checked.</li> <li>relocation.txt<br>&nbsp; &nbsp; HypoDD relocation file (see hypoDD manual for full description).<br>&nbsp; &nbsp; Format: ID, LAT, LON, DEPTH, X, Y, Z, EX, EY, EZ, YR, MO, DY, HR, MI, SC,&nbsp;MAG, NCCP, NCCS, NCTP, NCTS, RCC, RCT, CID</li> <li>MT_soluton.txt<br>&nbsp; &nbsp; Contains all double-couple moment tensor solutions.<br>&nbsp; &nbsp; Format: ID, strike, dip, rake, mag, kagan_std<br>&nbsp; &nbsp; mag: Moment magnitude (Mw); "None" if the event is not considered stable<br>&nbsp; &nbsp; kagan_std: Quality interpretation of the moment tensors using Kagan angle standard deviation, as described in the main paper.</li> </ul> <p>&nbsp;</p> <p><strong>Codes</strong></p> <p>Future development of the relative moment tensor algorithm will be conducted on GitHub as part of the Marie-Sklodowska-Curie Action relMT funded by the European Union (https://github.com/wasjabloch/relMT)</p> <p>Here are the files in&nbsp; Codes.zip:</p> <ul> <li>synthetics.zip<br>&nbsp; &nbsp; Contains codes for performing and testing synthetic moment tensor inversion.</li> <li>relMT.zip<br>&nbsp; &nbsp; Contains the code for performing moment tensor inversion on real data.</li> <li>intrustion.txt<br>&nbsp; &nbsp; Contains instructions for setting up and running the codes.</li> <li>environment_MAC.yml<br>&nbsp; &nbsp; File to create the python environment on a MAC or LINUX machine.</li> <li>environment_WINDOWS.yml<br>&nbsp; &nbsp; File to create the python environment on a WINDOWS machine.</li> </ul>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4