Asian School of the Environment (ASE)

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3,681 to 3,690 of 4,499 Results

CID_vs_Disp_Figure5.m Nov 26, 2020 - Related data for: Rapid identification of tsunamigenic earthquakes using GNSS ionospheric sounding MATLAB Source Code - 2.8 KB - MD5: e9c2a4747e603be4d3553ff305f79b46 Script to plot Figure 5
list_EQ_onlyOcean_Figure5.tab Nov 26, 2020 - Related data for: Rapid identification of tsunamigenic earthquakes using GNSS ionospheric sounding Tabular Data - 2.7 KB - 23 Variables, 22 Observations - UNF:6:jPra5s5ZponYgqUGFALotw== Data set Figure 5
readme.txt Nov 26, 2020 - Related data for: Rapid identification of tsunamigenic earthquakes using GNSS ionospheric sounding Plain Text - 3.5 KB - MD5: f29bc481ea0ec9bc525fd248df7a7de8
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.
counterfactual_SARS.pdf Oct 14, 2020 - Assessing the risk from natural 'Black Swans' through the lens of Counterfactual Analysis Adobe PDF - 139.9 KB - MD5: b029561aaaaf0723819117975d1b761b Documentation
counterfactual_SingHealth.pdf Oct 14, 2020 - Assessing the risk from natural 'Black Swans' through the lens of Counterfactual Analysis Adobe PDF - 140.4 KB - MD5: ace92492cc8442ef53762bb1ad618132 Documentation
Figure2-occupancy-hotel-new-world.tab Oct 14, 2020 - Assessing the risk from natural 'Black Swans' through the lens of Counterfactual Analysis Tabular Data - 262 B - 4 Variables, 25 Observations - UNF:6:2lI9AplhN9NEbljT0Dalzg== Data for Figure 2: occupancy of Hotel New World by hour and building location
Figure5a-lat2p33-lon102p9-m4p6-d10.tab Oct 14, 2020 - Assessing the risk from natural 'Black Swans' through the lens of Counterfactual Analysis Tabular Data - 6.1 MB - 4 Variables, 96868 Observations - UNF:6:sm/H9PooDDebqLzlKa+aNw== Data for Figure 5a, a simulated earthquake from ShakeMap of a M4.6 earthquake at a depth of 10km from a point source 2.33N, 102.90E
Figure5b-lat1p98-lon103p3-m4p6-d10.tab Oct 14, 2020 - Assessing the risk from natural 'Black Swans' through the lens of Counterfactual Analysis Tabular Data - 6.1 MB - 4 Variables, 96868 Observations - UNF:6:zkdr29+FBfD3skldj5IIqA== Data for Figure 5b, a simulated earthquake from ShakeMap of a M4.6 earthquake at a depth of 10km from a point source 1.98N, 103.30E
Figure5c-lat1p48-lon103p8-m4p6-d10.tab Oct 14, 2020 - Assessing the risk from natural 'Black Swans' through the lens of Counterfactual Analysis Tabular Data - 6.1 MB - 4 Variables, 96868 Observations - UNF:6:7++m0/xzgCMlTmRIXmrGRw== Data for Figure 5c, a simulated earthquake from ShakeMap of a M4.6 earthquake at a depth of 10km from a point source 1.48N, 103.80E

CID_vs_Disp_Figure5.m

Nov 26, 2020 - Related data for: Rapid identification of tsunamigenic earthquakes using GNSS ionospheric sounding

MATLAB Source Code - 2.8 KB -

Script to plot Figure 5

list_EQ_onlyOcean_Figure5.tab

Nov 26, 2020 - Related data for: Rapid identification of tsunamigenic earthquakes using GNSS ionospheric sounding

Tabular Data - 2.7 KB - 23 Variables, 22 Observations -

Data set Figure 5

readme.txt

Nov 26, 2020 - Related data for: Rapid identification of tsunamigenic earthquakes using GNSS ionospheric sounding

Plain Text - 3.5 KB -

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.

counterfactual_SARS.pdf

Oct 14, 2020 - Assessing the risk from natural 'Black Swans' through the lens of Counterfactual Analysis

Adobe PDF - 139.9 KB -

Documentation

counterfactual_SingHealth.pdf

Oct 14, 2020 - Assessing the risk from natural 'Black Swans' through the lens of Counterfactual Analysis

Adobe PDF - 140.4 KB -

Documentation

Figure2-occupancy-hotel-new-world.tab

Oct 14, 2020 - Assessing the risk from natural 'Black Swans' through the lens of Counterfactual Analysis

Tabular Data - 262 B - 4 Variables, 25 Observations -

Data for Figure 2: occupancy of Hotel New World by hour and building location

Figure5a-lat2p33-lon102p9-m4p6-d10.tab

Oct 14, 2020 - Assessing the risk from natural 'Black Swans' through the lens of Counterfactual Analysis

Tabular Data - 6.1 MB - 4 Variables, 96868 Observations -

Data for Figure 5a, a simulated earthquake from ShakeMap of a M4.6 earthquake at a depth of 10km from a point source 2.33N, 102.90E

Figure5b-lat1p98-lon103p3-m4p6-d10.tab

Oct 14, 2020 - Assessing the risk from natural 'Black Swans' through the lens of Counterfactual Analysis

Tabular Data - 6.1 MB - 4 Variables, 96868 Observations -

Data for Figure 5b, a simulated earthquake from ShakeMap of a M4.6 earthquake at a depth of 10km from a point source 1.98N, 103.30E

Figure5c-lat1p48-lon103p8-m4p6-d10.tab

Oct 14, 2020 - Assessing the risk from natural 'Black Swans' through the lens of Counterfactual Analysis

Tabular Data - 6.1 MB - 4 Variables, 96868 Observations -

Data for Figure 5c, a simulated earthquake from ShakeMap of a M4.6 earthquake at a depth of 10km from a point source 1.48N, 103.80E

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