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Publication Year: 2026

71 to 80 of 126 Results

F4a1.mat Jan 11, 2026 - Replication Data for: Space-time superoscillations MATLAB Data - 59.1 MB - MD5: e663c84e0dab783942eb006237932d58 Data for Figure 4
F4a2.mat Jan 11, 2026 - Replication Data for: Space-time superoscillations MATLAB Data - 59.5 MB - MD5: 8e3c4a45b92f79b2e6a4483c45eb3d5a Data for Figure 4
F4a3.mat Jan 11, 2026 - Replication Data for: Space-time superoscillations MATLAB Data - 200.6 MB - MD5: 18f5e021248c331e727703f784ef9e30 Data for Figure 4
F4a4.mat Jan 11, 2026 - Replication Data for: Space-time superoscillations MATLAB Data - 200.2 MB - MD5: b0dfdc94ec6532f4ba1bba9a9e3c4b6d Data for Figure 4
Related Data for: Two Years to Madness: A 30-Month Journal of Human–Machine Communication and Second-Hand Reality Jan 9, 2026 - Andrew PRAHL Prahl, Andrew, 2026, "Related Data for: Two Years to Madness: A 30-Month Journal of Human–Machine Communication and Second-Hand Reality", https://doi.org/10.21979/N9/4URUZD, DR-NTU (Data), V1 This data is related to the study "Two Years to Madness: A 30-Month Journal of Human–Machine Communication and Second-Hand Reality" and includes journal entries, coding steps, memos, and consolidation into thematic analysis.
Entry 1-1 Combined Trail.xlsx Jan 9, 2026 - Related Data for: Two Years to Madness: A 30-Month Journal of Human–Machine Communication and Second-Hand Reality MS Excel Spreadsheet - 31.4 KB - MD5: 8f085be9f17252b64c2e4641345aa8e4
Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China SeaEmbargoed Jan 7, 2026 - XU Jiamin Xu, Jiamin, 2026, "Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China Sea", https://doi.org/10.21979/N9/GGWL4H, DR-NTU (Data), V2, UNF:6:Ike5okl/q+GZgw/TPn9wZA== [fileUNF] This dataset comprises a database of tide gauge data, precipitation data, and codes used in the thesis to ensure reproducibility of the research (2025)
Chapter2.REmbargoed Jan 7, 2026 - Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China Sea R Syntax - 47.5 KB - MD5: 0cdb781411516736640445e4dd725d7e R code for Chapter 2
Chapter3.REmbargoed Jan 7, 2026 - Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China Sea R Syntax - 53.6 KB - MD5: 9a5f93e8a5397e07e9518173bb06886a R code for Chapter 3
Chapter4.REmbargoed Jan 7, 2026 - Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China Sea R Syntax - 168.6 KB - MD5: 430eedeb5be7aea5fd8f52ee1f352f23 R code for Chapter 4

F4a1.mat

Jan 11, 2026 - Replication Data for: Space-time superoscillations

MATLAB Data - 59.1 MB -

Data for Figure 4

F4a2.mat

Jan 11, 2026 - Replication Data for: Space-time superoscillations

MATLAB Data - 59.5 MB -

Data for Figure 4

F4a3.mat

Jan 11, 2026 - Replication Data for: Space-time superoscillations

MATLAB Data - 200.6 MB -

Data for Figure 4

F4a4.mat

Jan 11, 2026 - Replication Data for: Space-time superoscillations

MATLAB Data - 200.2 MB -

Data for Figure 4

Related Data for: Two Years to Madness: A 30-Month Journal of Human–Machine Communication and Second-Hand Reality

Jan 9, 2026 - Andrew PRAHL

Prahl, Andrew, 2026, "Related Data for: Two Years to Madness: A 30-Month Journal of Human–Machine Communication and Second-Hand Reality", https://doi.org/10.21979/N9/4URUZD, DR-NTU (Data), V1

This data is related to the study "Two Years to Madness: A 30-Month Journal of Human–Machine Communication and Second-Hand Reality" and includes journal entries, coding steps, memos, and consolidation into thematic analysis.

Entry 1-1 Combined Trail.xlsx

Jan 9, 2026 - Related Data for: Two Years to Madness: A 30-Month Journal of Human–Machine Communication and Second-Hand Reality

MS Excel Spreadsheet - 31.4 KB -

Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China SeaEmbargoed

Jan 7, 2026 - XU Jiamin

Xu, Jiamin, 2026, "Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China Sea", https://doi.org/10.21979/N9/GGWL4H, DR-NTU (Data), V2, UNF:6:Ike5okl/q+GZgw/TPn9wZA== [fileUNF]

This dataset comprises a database of tide gauge data, precipitation data, and codes used in the thesis to ensure reproducibility of the research (2025)

Chapter2.REmbargoed

Jan 7, 2026 - Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China Sea

R Syntax - 47.5 KB -

R code for Chapter 2

Chapter3.REmbargoed

Jan 7, 2026 - Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China Sea

R Syntax - 53.6 KB -

R code for Chapter 3

Chapter4.REmbargoed

Jan 7, 2026 - Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China Sea

R Syntax - 168.6 KB -

R code for Chapter 4

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