Asian School of the Environment (ASE)

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121 to 130 of 149 Results

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) 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seismic reflection profiles (time)", https://doi.org/10.21979/N9/G4LTXI, DR-NTU (Data), V1 Seven previously unpublished seismic reflection profiles from Bangladesh: L12, L13, L14, L15, L19, L20, L21.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.
Correlation between GNSS-TEC and eruption magnitude supports the use of ionospheric sensing to complement volcanic hazard assessment Nov 26, 2020 - Manta Fabio Manta, Fabio; Occhipinti, Giovanni; Hill, Emma; Perttu, Anna; Assink, Jelle; Taisne, Benoit, 2020, "Correlation between GNSS-TEC and eruption magnitude supports the use of ionospheric sensing to complement volcanic hazard assessment", https://doi.org/10.21979/N9/GIP5TJ, DR-NTU (Data), V1 This dataset contains all the outputs obtained during the GNSS data processing aiming to explore the relationship between the power of volcanic explosion and ionospheric TEC perturbation. This dataset also contain the codes used to process the data
Related data for: Rapid identification of tsunamigenic earthquakes using GNSS ionospheric sounding Nov 26, 2020 - Manta Fabio Manta, Fabio; Emma Hill; Lujia Feng; Giovanni Occhipinti, 2020, "Related data for: Rapid identification of tsunamigenic earthquakes using GNSS ionospheric sounding", https://doi.org/10.21979/N9/3KUEM5, DR-NTU (Data), V2, UNF:6:jPra5s5ZponYgqUGFALotw== [fileUNF] This dataset contains all the outputs obtained during the GNSS data processing aiming to explore the signature of tsunamigenic earthquake in the ionospheric TEC. This dataset also contain the codes used to process the data
Assessing the risk from natural 'Black Swans' through the lens of Counterfactual Analysis Oct 14, 2020 - Yolanda C Lin Lin, Yolanda Chia-Yi, 2020, "Assessing the risk from natural 'Black Swans' through the lens of Counterfactual Analysis", https://doi.org/10.21979/N9/MVCHXR, DR-NTU (Data), V1, UNF:6:Xaf6E1hAFLQkddTrK4g6Lg== [fileUNF] Dataset related to the study on assessing risk from natural "black swan" events through the lens of counterfactual analysis, as demonstrated by multiple case studies on past events in Singapore.
Replication Data for: A 15 year slow‐slip event on the Sunda megathrust offshore Sumatra Sep 7, 2020 - Emma Mary HILL Tsang Louisa L. H.; Meltzner Aron J.; Philibosian Belle; Hill Emma M.; Freymueller Jeffrey T.; Sieh Kerry, 2020, "Replication Data for: A 15 year slow‐slip event on the Sunda megathrust offshore Sumatra", https://doi.org/10.21979/N9/UKRXZ4, DR-NTU (Data), V1 Surface projection of the slip model for the 1966-1981 slow-slip event (SSE) in the Sumatran subduction zone
Replication data for: Sub-annual fluorescence measurements of coral skeleton: relationship between skeletal luminescence and terrestrial humic-like substances May 27, 2020 - Nikita Kaushal Kaushal, Nikita, 2020, "Replication data for: Sub-annual fluorescence measurements of coral skeleton: relationship between skeletal luminescence and terrestrial humic-like substances", https://doi.org/10.21979/N9/NIFEYH, DR-NTU (Data), V1 A] Luminescence dataset: 1. Coral luminescence green-to-blue ratios B] Fluorescence datasets: 1. Raw datafiles from Horiba Scientific 2. FluoroMax-4 spectrofluorometer Sample weights C] MATLAB code: 1. EEM's 2. Fluorescence-luminescence correlation analysis
Google Earth Engine code Apr 16, 2020 - Mapping Oil Palm GEE Lee, Ser Huay Janice Teresa, 2020, "Google Earth Engine code", https://doi.org/10.21979/N9/1T6AGL, DR-NTU (Data), V1 Code used in Google Earth Engine to collect, process and classify radar and optical imagery. Github depository: link
Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from expert assessment Mar 30, 2020 - Timothy Adam Shaw Shaw, Timothy Adam; Horton, Benjamin Peter, 2020, "Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from expert assessment", https://doi.org/10.21979/N9/JBCF2Q, DR-NTU (Data), V1, UNF:6:gi+pBadty7560O3sZeGssg== [fileUNF] Raw data used in compilation of the estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from expert assessment

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)

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.

Correlation between GNSS-TEC and eruption magnitude supports the use of ionospheric sensing to complement volcanic hazard assessment

Nov 26, 2020 - Manta Fabio

Manta, Fabio; Occhipinti, Giovanni; Hill, Emma; Perttu, Anna; Assink, Jelle; Taisne, Benoit, 2020, "Correlation between GNSS-TEC and eruption magnitude supports the use of ionospheric sensing to complement volcanic hazard assessment", https://doi.org/10.21979/N9/GIP5TJ, DR-NTU (Data), V1

This dataset contains all the outputs obtained during the GNSS data processing aiming to explore the relationship between the power of volcanic explosion and ionospheric TEC perturbation. This dataset also contain the codes used to process the data

Related data for: Rapid identification of tsunamigenic earthquakes using GNSS ionospheric sounding

Nov 26, 2020 - Manta Fabio

Manta, Fabio; Emma Hill; Lujia Feng; Giovanni Occhipinti, 2020, "Related data for: Rapid identification of tsunamigenic earthquakes using GNSS ionospheric sounding", https://doi.org/10.21979/N9/3KUEM5, DR-NTU (Data), V2, UNF:6:jPra5s5ZponYgqUGFALotw== [fileUNF]

This dataset contains all the outputs obtained during the GNSS data processing aiming to explore the signature of tsunamigenic earthquake in the ionospheric TEC. This dataset also contain the codes used to process the data

Assessing the risk from natural 'Black Swans' through the lens of Counterfactual Analysis

Oct 14, 2020 - Yolanda C Lin

Lin, Yolanda Chia-Yi, 2020, "Assessing the risk from natural 'Black Swans' through the lens of Counterfactual Analysis", https://doi.org/10.21979/N9/MVCHXR, DR-NTU (Data), V1, UNF:6:Xaf6E1hAFLQkddTrK4g6Lg== [fileUNF]

Dataset related to the study on assessing risk from natural "black swan" events through the lens of counterfactual analysis, as demonstrated by multiple case studies on past events in Singapore.

Replication Data for: A 15 year slow‐slip event on the Sunda megathrust offshore Sumatra

Sep 7, 2020 - Emma Mary HILL

Tsang Louisa L. H.; Meltzner Aron J.; Philibosian Belle; Hill Emma M.; Freymueller Jeffrey T.; Sieh Kerry, 2020, "Replication Data for: A 15 year slow‐slip event on the Sunda megathrust offshore Sumatra", https://doi.org/10.21979/N9/UKRXZ4, DR-NTU (Data), V1

Surface projection of the slip model for the 1966-1981 slow-slip event (SSE) in the Sumatran subduction zone

Replication data for: Sub-annual fluorescence measurements of coral skeleton: relationship between skeletal luminescence and terrestrial humic-like substances

May 27, 2020 - Nikita Kaushal

Kaushal, Nikita, 2020, "Replication data for: Sub-annual fluorescence measurements of coral skeleton: relationship between skeletal luminescence and terrestrial humic-like substances", https://doi.org/10.21979/N9/NIFEYH, DR-NTU (Data), V1

A] Luminescence dataset: 1. Coral luminescence green-to-blue ratios B] Fluorescence datasets: 1. Raw datafiles from Horiba Scientific 2. FluoroMax-4 spectrofluorometer Sample weights C] MATLAB code: 1. EEM's 2. Fluorescence-luminescence correlation analysis

Google Earth Engine code

Apr 16, 2020 - Mapping Oil Palm GEE

Lee, Ser Huay Janice Teresa, 2020, "Google Earth Engine code", https://doi.org/10.21979/N9/1T6AGL, DR-NTU (Data), V1

Code used in Google Earth Engine to collect, process and classify radar and optical imagery. Github depository: link

Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from expert assessment

Mar 30, 2020 - Timothy Adam Shaw

Shaw, Timothy Adam; Horton, Benjamin Peter, 2020, "Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from expert assessment", https://doi.org/10.21979/N9/JBCF2Q, DR-NTU (Data), V1, UNF:6:gi+pBadty7560O3sZeGssg== [fileUNF]

Raw data used in compilation of the estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from expert assessment

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