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21 to 30 of 534 Results
Electric-field Control of Coherent Ferron Oscillation
Jul 3, 2026 - Sambhu JANA
Jana, Sambhu; Singh, Ranjan, 2026, "Electric-field Control of Coherent Ferron Oscillation", https://doi.org/10.21979/N9/FU473G, DR-NTU (Data), V1
All the raw data available here were used in the published Nature Physics paper
Replication Data for: Observation of 𝜋/3 and 2⁢𝜋/3 modes in an acoustic Floquet system
Jun 26, 2026 - CHENG Zheyu
Cheng, Zheyu, 2026, "Replication Data for: Observation of 𝜋/3 and 2⁢𝜋/3 modes in an acoustic Floquet system", https://doi.org/10.21979/N9/1R5FKL, DR-NTU (Data), V1
This repository contains the data and code used for the analyses presented in the manuscript "Zheng-bo Cheng, Hong-xiang Sun, Shou-qi Yuan, Zheyu Cheng, and Baile Zhang, Observation of 𝜋/3 and 2⁢𝜋/3 modes in an acoustic Floquet system. https://doi.org/10.1103/k7y2-13x5"
SI Data for: Pixelated quantum-dot superlattice LEDs
Jun 11, 2026 - YU Yue
Yu, Yue, 2026, "SI Data for: Pixelated quantum-dot superlattice LEDs", https://doi.org/10.21979/N9/HOOWBQ, DR-NTU (Data), V1, UNF:6:ny+BFtTVo3ZS+Kc8ueRn+Q== [fileUNF]
Replication SI Data for the journal article entitled "Pixelated quantum-dot superlattice LEDs "
Related Data for: Ferron-driven photoferroic hysteresis in van der Waals CuInP2S6
May 24, 2026 - Sambhu JANA
Jana, Sambhu, 2026, "Related Data for: Ferron-driven photoferroic hysteresis in van der Waals CuInP2S6", https://doi.org/10.21979/N9/UYX5YD, DR-NTU (Data), V1
All the data related to the paper titled “Ferron-Driven Photoferroic Hysteresis in Van der Waals CuInP₂S₆” have been uploaded here.
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".
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
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