51 to 60 of 201 Results
Sep 9, 2025 - Computational Geophysics Lab
Tang, Rongjiang; Dal Zilio, Luca, 2025, "Replication Data for: PyQuake3D", https://doi.org/10.21979/N9/VUVEUX, DR-NTU (Data), V3
This repository contains the source code and input data necessary to reproduce the numerical experiments presented in the accompanying methodological paper. It includes the full PyQuake3D simulation framework (version 1.0.0), along with all input geometry and parameter files used... |
Sep 7, 2025 - TONG Ping
Tong, Ping, 2025, "Replication Data for: Crustal Structure and Seismogenic Environment for the January 2025 Mw 7.1 Southern Tibet (Dingri) Earthquake", https://doi.org/10.21979/N9/TFANS1, DR-NTU (Data), V1
On January 7, 2025, a Mw 7.1 normal-faulting earthquake occurred in the Dinggye rift zone, southern Tibetan plateau. In this study, we present high-resolution crustal S-wave isotropic and P-wave azimuthally anisotropic velocity models around the source region of this earthquake,... |
Sep 4, 2025 - S-Lab for Advanced Intelligence
Li, Xiaoming; Zuo, Wangmeng; Loy, Chen Change, 2025, "Enhanced Generative Structure Prior for Chinese Text Image Super-Resolution", https://doi.org/10.21979/N9/DTZDDZ, DR-NTU (Data), V1
Faithful text image super-resolution (SR) is challenging because each character has a unique structure and usually exhibits diverse font styles and layouts. While existing methods primarily focus on English text, less attention has been paid to more complex scripts like Chinese.... |
Sep 4, 2025 - TONG Ping
Tong, Ping, 2025, "Replication Data for: Crustal Deformation in the Sierra Nevada and Walker Lane Region Inferred From P-Wave Azimuthal Anisotropy", https://doi.org/10.21979/N9/OLPEUQ, DR-NTU (Data), V1
A new depth-dependent azimuthally anisotropic P-wave velocity (Vp) model of the Sierra Nevada and Walker Lane region |
Sep 3, 2025 - Singapore INfrasound Group
Taisne, Benoit, 2025, "Data related to the January 15th 2022 eruption of Tonga volcano", https://doi.org/10.21979/N9/T9MXZY, DR-NTU (Data), V1
Data recorded by instruments installed in different countries (Korea, New Zealand, Mexico and Singapore). The data recorded the eruption of Tonga volcano eruption of January 15th 2022. |
Aug 21, 2025 - Andrea VEROLINO
Verolino, Andrea; Watanabe, Masashi; Felix, Raquel; Conway, Christopher; Weiss, Robert; Switzer, Adam, 2025, "Replication Data for: An initial assessment of volcanic meteo-tsunami hazard in the South China Sea:what we learned and how to move forward", https://doi.org/10.21979/N9/1VNZEQ, DR-NTU (Data), V1
In this work, we simulated volcanic meteo-tsunamis from four different locations in the South China Sea, Celebes Sea and northern Philippines Sea, using different eruption intensity scenarios. The goal was to have a first assessment of volcanic meteo-tsunami hazard for countries... |
Aug 15, 2025 - Salvia Chinensine Project
Bates, Roderick Wayland, 2025, "Salvia chinensine", https://doi.org/10.21979/N9/2M5GXY, DR-NTU (Data), V1
NMR spectra data. |
Aug 13, 2025 - TEO Hau Tian
Teo, Hau Tian; Long, Yang; Zou, Hong-yu; Song, Kailin; Xue, Haoran; Ge, Yong; Yuan, Shou-qi; Sun, Hong-xiang; Zhang, Baile, 2025, "Replication Data for: Observation of Embedded Topology in a Trivial Bulk via Projective Crystal Symmetry", https://doi.org/10.21979/N9/HUNIPG, DR-NTU (Data), V1
This repository contains the data and code used for the analyses presented in the manuscript: "Observation of Embedded Topology in a Trivial Bulk via Projective Crystal Symmetry", submitted to Physical Review Letters. |
Aug 12, 2025 - Radek MACHAN
Machan, Radek, 2025, "Characterisation of the signal to noise ratio of 2-photon microscopes", https://doi.org/10.21979/N9/2JV3GA, DR-NTU (Data), V1
Data related to the paper: Characterisation of the signal to noise ratio of 2-photon microscopes by Radek Macháň, Shau Poh Chong, Khee Leong Lee & Peter Török |
Aug 12, 2025 - Elinor Siwan MEREDITH
Meredith, Elinor S.; Teng, Rui Xue Natalie; Jenkins, Susanna F.; Hayes, Josh L.; Biass, Sébastien; Handley, Heather, 2025, "Related Data for: Cities near volcanoes: Which cities are most exposed to volcanic hazards?", https://doi.org/10.21979/N9/WISBHF, DR-NTU (Data), V1, UNF:6:d7vS2IH8bfyUS5Kd6gfzBA== [fileUNF]
This dataset quantifies and ranks global cities located within 100 km of at least one Holocene volcano. Using 2020 urban polygons from the Global Human Settlement Layer (GHS-UCDB) and volcano locations from the Global Volcanism Program, we calculated exposed populations within 10... |
