21 to 30 of 4,524 Results
Jan 7, 2026 -
Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China Sea
Comma Separated Values - 5.7 MB -
MD5: 21f3fb070fa3ba9df660592c9ffc3952
Tide gauge data - Singapore (from UHSLC) |
Jan 7, 2026 -
Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China Sea
Comma Separated Values - 4.4 MB -
MD5: 081bcca12bad0442fa7420bc51b47807
Tide gauge data - Vung Tau (from UHSLC) |
Jan 7, 2026 -
Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China Sea
MATLAB Source Code - 1.3 KB -
MD5: ac2fefd27da0aab828622860134b408c
Matlab code for harmonic analysis - Chapter 3 |
Jan 7, 2026 -
Replication Data for: Investigating extreme sea levels and compound flooding in Singapore and the South China Sea
MATLAB Source Code - 1.3 KB -
MD5: 391cb2d0dc3c25ad458b886d2171c36b
Matlab code for harmonic analysis - Chapter 2 |
Jan 7, 2026
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Nov 4, 2025 - JIAO Lijing
Jiao, Lijing, 2025, "Replication data for: Microbial ecology of the naturalized streams of Sembawang hot spring, Singapore", https://doi.org/10.21979/N9/XTA7NW, DR-NTU (Data), V3
This dataset comprises a database of microbiomes from the Sembawang hot spring, including raw sequencing data (amplicon and metagenomics), fluorescence in situ hybridization (FISH) images and associated codes used in the thesis to ensure reproducibility of the research |
Oct 31, 2025 - Marine biogeochemistry group
Martin, Patrick, 2025, "Replication Data for: Ocean acidification in Southeast Asia: a multiannual time series of carbonate system variability in the central Sunda Shelf Sea", https://doi.org/10.21979/N9/WPDJO6, DR-NTU (Data), V2
This dataset contains time series data and analysis codes for seawater carbonate system parameters and other ancillary biogeochemical and physical variables of seawater in the Singapore Strait |
Plain Text - 63.9 KB -
MD5: 94ccacafeba2d9b96f1a8b7bdabf7ed8
Latest updated time series dataset. Used for the revised version of the paper |
Jupyter Notebook - 7.4 MB -
MD5: 29f48fd2284686d8b4a75ddc5b0d1dca
Latest updated version of the analysis code. Used for the revised version of the paper |
Plain Text - 3.2 KB -
MD5: ba71699b216afba14d23aa17852ccdc7
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