211 to 220 of 415 Results
Sep 14, 2023 - LIE Stener
Lie, Stener; Bruno, Annalisa; Wong, Lydia Helena; Etgar, Lioz, 2023, "Replication Data for: Semitransparent perovskite solar cells with > 13% efficiency and 27% transperancy using plasmonic Au nanorods", https://doi.org/10.21979/N9/KQB3GN, DR-NTU (Data), V1
Related Data for: Semitransparent perovskite solar cells with> 13% efficiency and 27% transperancy using plasmonic Au nanorods |
Sep 8, 2023 - Stephen Chua
Chua, Stephen Chong Wei, 2023, "Replication Data for: Coastal response to Holocene sea-level change: a case study from Singapore", https://doi.org/10.21979/N9/UHXWSJ, DR-NTU (Data), V1, UNF:6:xYdp9nRJoAkbKmKHq8dxrw== [fileUNF]
Supplementary data files for the paper Coastal response to Holocene sea-level change: a case study from Singapore'' for submission to Marine Geology. |
Aug 30, 2023 - VHARG
Quah, Jia Yong, 2023, "Fire From Volcanic Activity : Quantifying the threat from an understudied hazard", https://doi.org/10.21979/N9/IKMFG2, DR-NTU (Data), V1, UNF:6:aobbUP6xuU8UOm6TPbmZXQ== [fileUNF]
Data associated with Quah et al., 2023. Burn zone areas (as shapefiles) and the data (csv file) for every simulated fire and fire spread event following volcanic ballistic projectile in Auckland Volcanic Field. |
Aug 29, 2023 - Charlotte BARRINGTON
Barrington, Charlotte, 2023, "Related Data for: Using wavelet coherence to aid the retrieval of volcanic SO2 from UV spectra", https://doi.org/10.21979/N9/SFYGSB, DR-NTU (Data), V1
UV spectar recorded at the Earth Observatory of Singapore used in Barrington et al. 2023 Using wavelet coherence to aid the retrieval of volcanic SO2 from UV spectra |
Aug 24, 2023 - Lujia FENG
Lindsey, Eric O.; Wang, Yu; Aung, Lin Thu; Chong, Jeng Hann; Qiu, Qiang; Mallick, Rishav; Feng, Lujia; Aung, Pyae Sone; Tin, Tha Zin Htet; Min, Saw Myat; Bradley, Kyle; Than, Oo; Oo, Kyaw Moe; Thant, Myo; Masson, Frederic; Bürgmann, Roland; Hill, Emma M., 2023, "Replication Data for: Active subduction and strain partitioning in western Myanmar revealed by a dense survey GNSS network", https://doi.org/10.21979/N9/QK3AKA, DR-NTU (Data), V1, UNF:6:U0RBjVosXMzFoyEmTSbIfg== [fileUNF]
This repository contains the data and code necessary to reproduce the results in the paper titled “Active subduction and strain partitioning in western Myanmar revealed by a dense survey GNSS network”. In particular, it contains: 1. Raw GNSS observations (RINEX format) for all si... |
