This dataverse is a collection of the School of Physical and Mathematical Sciences’ research data.

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

11 to 20 of 8,386 Results
Fig-4a.txt
May 24, 2026 - Ferron-driven Photoferroic Hysteresis in Van der Waals CuInP2S6
Plain Text - 167 B - MD5: 410e92e185da5692ddce7fb78b56c93e
Fig-4b.txt
May 24, 2026 - Ferron-driven Photoferroic Hysteresis in Van der Waals CuInP2S6
Plain Text - 10.3 KB - MD5: 37c2465fa53addbfd6905c9440f36e03
Fig-4c-f.opju
May 24, 2026 - Ferron-driven Photoferroic Hysteresis in Van der Waals CuInP2S6
Unknown - 2.7 MB - MD5: 80d9925df8922236595e04dca283914d
Replication Data for: Disease progression based feature screening for ultrahigh-dimensional survival-associated biomarkers
May 12, 2026 - Liming XIANG
Xiang, Liming, 2026, "Replication Data for: Disease progression based feature screening for ultrahigh-dimensional survival-associated biomarkers", https://doi.org/10.21979/N9/OSRVWN, DR-NTU (Data), V1
This dataset contains the R code for simulation studies reported in the paper "Disease progression based feature screening for ultrahigh-dimensional survival-associated biomarkers".
RCode_DPCRsimulation_MengXiang.R
May 12, 2026 - Replication Data for: Disease progression based feature screening for ultrahigh-dimensional survival-associated biomarkers
R Syntax - 7.0 KB - MD5: f0d7eb5a5c39f6d52021c4cf9dcd1233
Replication Data for: Analysis of Competing Risks Data with Covariates Subject to Detection Limits
May 12, 2026 - Liming XIANG
Xiang, Liming, 2026, "Replication Data for: Analysis of Competing Risks Data with Covariates Subject to Detection Limits", https://doi.org/10.21979/N9/NNUDA2, DR-NTU (Data), V1
This dataset contains a set of simulated data and the R code for simulation studies reported in the paper "Analysis of Competing Risks Data with Covariates Subject to Detection Limits".
impute functions.R
May 12, 2026 - Replication Data for: Analysis of Competing Risks Data with Covariates Subject to Detection Limits
R Syntax - 26.7 KB - MD5: 49b7f8996c3cdd6eae9f5352d5e4df32
MI for data with two censored covariates update.R
May 12, 2026 - Replication Data for: Analysis of Competing Risks Data with Covariates Subject to Detection Limits
R Syntax - 2.2 KB - MD5: acd5236e52c6aef963d0d542bfe66771
readme.docx
May 12, 2026 - Replication Data for: Analysis of Competing Risks Data with Covariates Subject to Detection Limits
MS Word - 12.5 KB - MD5: c0f34a70b1ba736dd0a0da02c74742a4
Documentation
simulate data with two censored covariates.csv
May 12, 2026 - Replication Data for: Analysis of Competing Risks Data with Covariates Subject to Detection Limits
Comma Separated Values - 25.1 KB - MD5: c63398e92dd9008631286b4b9d93014c
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.