Metrics
1,361,605 Downloads
Contact Share
Featured Dataverses

In order to use this feature you must have at least one published or linked 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

101 to 110 of 174 Results
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".
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".
Replication Data for: Regression analysis of interval-censored competing risks data with missing causes of failure: a direct likelihood approach
May 12, 2026 - Liming XIANG
Xiang, Liming, 2026, "Replication Data for: Regression analysis of interval-censored competing risks data with missing causes of failure: a direct likelihood approach", https://doi.org/10.21979/N9/MPYZO1, DR-NTU (Data), V1
This dataset contains the MATLAB code used to generate the simulation results reported in the paper "Regression analysis of interval-censored competing risks data with missing causes of failure: a direct likelihood approach".
Replication Data for: Flexible modeling of left-truncated and interval-censored competing risks data with missing event types
May 12, 2026 - Liming XIANG
Xiang, Liming, 2026, "Replication Data for: Flexible modeling of left-truncated and interval-censored competing risks data with missing event types", https://doi.org/10.21979/N9/HCO7AV, DR-NTU (Data), V1
This dataset contains the MATLAB code used to generate the simulation results reported in the paper "Flexible modeling of left-truncated and interval-censored competing risks data with missing event types".
Replication Data for: Learning association from multiple intermediate events for dynamic prediction of survival: an application to cardiovascular disease prognosis
May 12, 2026 - Liming XIANG
Xiang, Liming, 2026, "Replication Data for: Learning association from multiple intermediate events for dynamic prediction of survival: an application to cardiovascular disease prognosis", https://doi.org/10.21979/N9/TQODZO, DR-NTU (Data), V1
This dataset contains simulation results and R code used to generate the results in the paper "Learning association from multiple intermediate events for dynamic prediction of survival: an application to cardiovascular disease prognosis".
Dataset for: A Meta-analysis on the Prevalence of Lifetime Psychiatric Morbidity Among Transgender Individuals
May 12, 2026 - CHEN Shen-Hsing Annabel
Aw, Jian Xin Timothy; Chan, Christo Cross; Chai, Mayanee; Chen, S. H. Annabel, 2026, "Dataset for: A Meta-analysis on the Prevalence of Lifetime Psychiatric Morbidity Among Transgender Individuals", https://doi.org/10.21979/N9/OSMJO2, DR-NTU (Data), V1, UNF:6:+rcm0DrfJd9DPpMuA2H1cQ== [fileUNF]
Dataset used for meta-analysis of prevalence studies of psychiatric morbidity in the transgender population
Replication Data for: Lithosphere-asthenosphere interactions across the Indo-Burma subduction zone from Sp receiver functions
May 9, 2026 - TONG Ping
Tong, Ping, 2026, "Replication Data for: Lithosphere-asthenosphere interactions across the Indo-Burma subduction zone from Sp receiver functions", https://doi.org/10.21979/N9/Z7VCK6, DR-NTU (Data), V1
Seismic Waveforms Recorded in Myanmar
Replication Data for: An Investigation into the Occupational Safety of Using Fe3O4 Silica-Coated Magnetic Particles for Fingerprint Dusting
May 4, 2026 - TAN Li Yi
Tan, Li Yi, 2026, "Replication Data for: An Investigation into the Occupational Safety of Using Fe3O4 Silica-Coated Magnetic Particles for Fingerprint Dusting", https://doi.org/10.21979/N9/0EBMNO, DR-NTU (Data), V1, UNF:6:BFfoThAzHZSoffSc35HA7Q== [fileUNF]
Replication Data for: An Investigation into the Occupational Safety of Using Fe3O4 Silica-Coated Magnetic Particles for Fingerprint Dusting
Final Data for: Controlling an altermagnetic spin density wave in the kagome magnet CsCr3Sb5
Apr 30, 2026 - Bent WEBER
Huang, Zihao; Weber, Bent, 2026, "Final Data for: Controlling an altermagnetic spin density wave in the kagome magnet CsCr3Sb5", https://doi.org/10.21979/N9/JBLUVG, DR-NTU (Data), V2
This file contains all source data in main text
Replication Data for: Lysosome-Acidifying Nanoparticles Rescue A30P α-Synuclein Induced Neuronal Death in Cellular and Drosophila Models of Parkinson's Disease
Apr 29, 2026 - Mengda REN
Lo, Chih Hung; Ren, Mengda; Loi, Gavin Wen Zhao; Saipuljumri, Eka Norfaishanty; Indajang, Jonathan; Lim, Kah Leong; Zeng, Jialiu, 2026, "Replication Data for: Lysosome-Acidifying Nanoparticles Rescue A30P α-Synuclein Induced Neuronal Death in Cellular and Drosophila Models of Parkinson's Disease", https://doi.org/10.21979/N9/SBCIPP, DR-NTU (Data), V1, UNF:6:LEO4c+Jaez4Egr2Ht866VQ== [fileUNF]
Source data for Lo, C. H., et al. (2026). "Lysosome-Acidifying Nanoparticles Rescue A30P α-Synuclein Induced Neuronal Death in Cellular and Drosophila Models of Parkinson's Disease." Advanced Healthcare Materials n/a(n/a): e02906. https://doi.org/10.1002/adhm.202502906
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.