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@cossatot
cossatot / ISC-GEM_compact_6+.geojson
Created Oct 12, 2018
ISC-GEM v.4, events above M6
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cossatot / ISC-GEM_compact.csv
Created Oct 12, 2018
ISC GEM v. 4 catalog, subset of columns
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date,lat,lon,mw,depth,color,eventid
1900-07-2906:59:00.00,-10.0,165.0,7.58,0.0,#440154,16957713
1900-10-0912:28:00.00,60.0,-142.0,7.69,0.0,#440154,16957718
1900-10-2909:11:00.00,11.0,-66.0,7.69,0.0,#440154,16957719
1901-08-0913:01:00.00,-22.0,170.0,7.92,0.0,#440154,16957737
1901-08-0918:33:00.00,40.0,144.0,7.47,0.0,#440154,16957736
1902-04-1902:23:00.00,14.0,-91.0,7.47,0.0,#440154,16957763
1902-08-2203:00:00.00,40.0,77.0,7.69,0.0,#440154,16957769
1902-09-2201:46:00.00,18.0,146.0,7.47,0.0,#440154,16957777
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cossatot / evenly_truncated_mfd_debug.ipynb
Created Jul 31, 2018
Diagnosing rate problems with evenly-distributed MFDs
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cossatot / eq_slip_rate_variability.ipynb
Last active Jan 9, 2018
Jupyter python notebook (and blog post) demonstrating how the stochasticity of earthquake recurrence can influence slip rate estimates
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cossatot / # matplotlib - 2017-12-25_13-48-44.txt
Created Dec 25, 2017
matplotlib (homebrew/science/matplotlib) on macOS 10.13.2 - Homebrew build logs
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Homebrew build logs for homebrew/science/matplotlib on macOS 10.13.2
Build date: 2017-12-25 13:48:44
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cossatot / transect_line.geojson
Created Sep 17, 2017
GeoJSON file giving a transect through the Himalaya for a critical wedge inversion
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cossatot / bayes_wedge_inversion.ipynb
Last active Sep 17, 2017
Jupyter notebook for a Bayesian inversion of critical wedge parameters
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cossatot / himalaya_topo_data_wgs84.csv
Created Sep 17, 2017
Topographic data from a transect across the Nepal Himalaya for a Coulomb wedge inversion
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86.71614847,28.61504201,4466
86.71823181,28.61504201,4429
86.72031514,28.61504201,4406
86.70364847,28.61295867,4311
86.70573181,28.61295867,4306
86.70781514,28.61295867,4313
86.70989847,28.61295867,4322
86.71198181,28.61295867,4332
86.71406514,28.61295867,4345
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cossatot / gcmt_2017_09_07
Created Sep 11, 2017
Global CMT catalog as of 2017-09-07
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Event,Longitude,Latitude,Depth,Datetime,Date,Time,Mw,Ms,Mb,Lat_err,Lon_err,Depth_err,Time_err,Strike_2,Dip_1,Rake_1,Strike_2,Dip_2,Rake_2,Mrr,Mtt,Mpp,Mrt,Mrp,Mtp,Mrr_err,Mtt_err,Mpp_err,Mrt_err,Mrp_err,Mtp_err,Scalar_moment,T,T_azimuth,T_plunge,N,N_azimuth,N_plunge,P,P_azimuth,P_plunge,Reference_longitude,Reference_latitude,Reference_depth,Reference_date,Reference_time,Reference_datetime,Body_wave_components,Body_wave_stations,Body_wave_period,Surface_wave_components,Surface_wave_stations,Surface_wave_period,Mantle_wave_components,Mantle_wave_stations,Mantle_wave_period,CMT_Version,CMT_Type,Depth_inversion_type,Geog_location,Hypocenter_reference_catalog,CMT_Timestamp,Moment_rate_function,Moment_rate_half_duration,Focal_mech
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cossatot / eq-clustering-notebook.ipynb
Created Jun 16, 2017
Jupyter notebook demonstrating a simple oscillator model of earthquake clustering
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