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2,281 to 2,290 of 3,263 Results
Judith Hubbard (Nanyang Technological University)
Dec 16, 2020Asian School of the Environment (ASE)
Research topics: • Active-source imaging of the Main Frontal Thrust, Nepal. • Interpreting seismic velocities and faulting in the fold-and-thrust belt in eastern Bangladesh. • The expected geodetic signal above large-scale regional décollements systems. • The structural geology a...
Time to depth seismic conversion Matlab function
Dec 15, 2020 - Bangladesh decollement
Burgi, Paula, 2020, "Time to depth seismic conversion Matlab function", https://doi.org/10.21979/N9/42WMQB, DR-NTU (Data), V1
This function converts a seismic reflection image from two-way travel time (s) to depth (km). This function is best-used when the available information is a image of a seismic reflection line (rather than, e.g. SEG-Y), and only approximate/scarce velocity information is provided.
Seismic velocity vs. TWTT for Bangladesh, data and best-fit
Dec 15, 2020 - Bangladesh decollement
Burgi, Paula, 2020, "Seismic velocity vs. TWTT for Bangladesh, data and best-fit", https://doi.org/10.21979/N9/S9JL4B, DR-NTU (Data), V1
Matlab structure containing each regional velocity fit shown in Figure 5c (P-wave velocities vs. two-way travel time, TWTT). All fields within the Matlab structure file are N x 2, where the first column is P-wave velocity (m/s) and the second column is TWTT (s). Fields beginning...
Uninterpreted seismic reflection profiles (time)
Uninterpreted seismic reflection profiles (time)
Dec 15, 2020 - Bangladesh decollement
Burgi, Paula, 2020, "Uninterpreted seismic reflection profiles (time)", https://doi.org/10.21979/N9/G4LTXI, DR-NTU (Data), V1
Seven previously unpublished seismic reflection profiles from Bangladesh: L12, L13, L14, L15, L19, L20, L21. Profiles are in TWTT, at full resolution and unedited. Names (L12,L13,etc.) correspond to the line labels in Figure 6b of Bürgi et al.
Bangladesh decollement(Nanyang Technological University)
Dec 15, 2020Judith Hubbard
Cross sections of 8 to 9 mixed assets after hypothesis testing
Dec 14, 2020 - Identifying Actionable Serial Correlations in Financial Markets
Cheong, Siew Ann, 2020, "Cross sections of 8 to 9 mixed assets after hypothesis testing", https://doi.org/10.21979/N9/FR745X, DR-NTU (Data), V1
Set 1 = (A) gold, (B) silver, (C) palladium, (D) S\&P 500, (E) Hang Seng, (F) platinum, (G) Dow Jones, (H) Nikkei, and (I) NASDAQ, prices between Apr 2, 1990 and Jan 28, 2018. Set 2 = (A) 5-year US bond, (B) 10-year US bond, (C) 2-year US bond, (D) 6-month US bond, (E) wheat, (F)...
Second cross section of 10 DJI component stocks: intermediate files for hypothesis testing
Dec 14, 2020 - Identifying Actionable Serial Correlations in Financial Markets
Cheong, Siew Ann, 2020, "Second cross section of 10 DJI component stocks: intermediate files for hypothesis testing", https://doi.org/10.21979/N9/FDIDAM, DR-NTU (Data), V1
Python npy files
Cross section of 5 DJI component stocks
Dec 14, 2020 - Identifying Actionable Serial Correlations in Financial Markets
Cheong, Siew Ann, 2020, "Cross section of 5 DJI component stocks", https://doi.org/10.21979/N9/KGGAMP, DR-NTU (Data), V1
['A', 'B', 'C', 'D', 'E', 'STC', 'STC5', 'TC5', 'fTC5', 'fTC5null', 'lmax', 'lmin', 'nSTCempty', 'setTC5', 'sigseqp001', 'sigseqp005', 'sigseqp005n5']
First cross section of 10 DJI component stocks: Intermediate data files for hypothesis testing
Dec 14, 2020 - Identifying Actionable Serial Correlations in Financial Markets
Cheong, Siew Ann, 2020, "First cross section of 10 DJI component stocks: Intermediate data files for hypothesis testing", https://doi.org/10.21979/N9/JCIKFR, DR-NTU (Data), V1
To be used for Python script for hypothesis testing.
First cross section of 10 DJI component stocks
Dec 14, 2020 - Identifying Actionable Serial Correlations in Financial Markets
Cheong, Siew Ann, 2020, "First cross section of 10 DJI component stocks", https://doi.org/10.21979/N9/GHMOKN, DR-NTU (Data), V1
X1 = GE, X2 = CSCO, X3 = HD, X4 = JPM, X5 = MMM, X6 = MRK, X7 = UTX, X8 = BA, X9 = VZ, X10 = XOM
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