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91 to 100 of 142 Results
Feb 24, 2022 - Yang Liudongqing
Yang, Liudongqing, 2022, "Replication Data for: Atmospheric Chemistry of Organic Aerosols: A Singapore Case Study", https://doi.org/10.21979/N9/CNHTJL, DR-NTU (Data), V1, UNF:6:9ID1jV5W92/WFmJ9xr4Igg== [fileUNF]
This dataset contains chemical and optical measurements of PM2.5 aerosols collected in Singapore. This dataset is part of a PhD thesis submitted to NTU.
Feb 23, 2022 - Evaluating and ranking Southeast Asia’s exposure to explosive volcanic hazards
Jenkins, Susanna, 2022, "SM3: Exposure results", https://doi.org/10.21979/N9/OUJPZQ, DR-NTU (Data), V1, UNF:6:FDcNVhI6lRRe/OpeZXvxZw== [fileUNF]
SM3 is a table containing the results of the exposure analysis serving as raw data for all figures and tables presented in the associated paper: Jenkins, S.F., Biass, S., Williams, G.T., Hayes, J.L., Tennant, E., Yang, Q., Burgos, V., Meredith, E.S., Lerner, G.A., Syarifuddin, M....
Feb 22, 2022 - Evaluating and ranking Southeast Asia’s exposure to explosive volcanic hazards
Jenkins, Susanna, 2022, "SM2: Eruption Frequency-Magnitude", https://doi.org/10.21979/N9/CGKS6C, DR-NTU (Data), V1, UNF:6:T+beI+7tF3PekU7mZCjrXg== [fileUNF]
SM2 is an Excel file containing the calculated annual probability of occurrence for eruptions of VEI [3, 4, 5] for each volcano, as estimated by the method of Hayes et al. (in prep.). For each VEI, the 10%, 50% and 90% probabilities of the distribution are shown. The estimates re...
Feb 22, 2022 - Evaluating and ranking Southeast Asia’s exposure to explosive volcanic hazards
Jenkins, Susanna, 2022, "SM1 - Hazard model outputs", https://doi.org/10.21979/N9/B80UMQ, DR-NTU (Data), V1
'SM1 - Hazard model outputs' includes a .zip file with all of the hazard model outputs from the paper 'Evaluating and ranking Southeast Asia's exposure to explosive volcanic hazards' and a .pdf file describing the data: 'SM1 - Hazard model outputs - description'.
Dec 1, 2021 - ZHOU Yongli
Zhou, Yongli, 2021, "Replication Data for: Biogeochemical cycling and environmental footprints of peatland-derived dissolved organic carbon in the Sunda Shelf Sea, Southeast Asia", https://doi.org/10.21979/N9/USA4VT, DR-NTU (Data), V4, UNF:6:8/wYEOhzYcibITUgmz/lSw== [fileUNF]
This dataset contains the supplementary dataset, raw data files, and MATLAB scripts for data analysis for the Ph.D thesis.
Nov 26, 2021 - DOC_Project
Sanwlani, Nivedita, 2021, "DOC NTU Climatology Trends", https://doi.org/10.21979/N9/PTICO7, DR-NTU (Data), V3
Source Codes, satellite-derived output files, output stats, and associated time-series data in excel and .txt for MODIS-derived DOC Climatology and Trends analysis from 2002-2021.
Oct 27, 2021 - Williams George Thomas
Williams George Thomas, 2021, "Replication Data for: Remotely assessing tephra fall building damage and vulnerability: Kelud Volcano, Indonesia", https://doi.org/10.21979/N9/KNLMBU, DR-NTU (Data), V1, UNF:6:fUcrc7ABKdwoOvCL+49q+Q== [fileUNF]
R Markdown file and raw data used to produce vulnerability models within the paper: Remotely assessing tephra fall building damage and vulnerability: Kelud Volcano, Indonesia
Oct 27, 2021 - Williams George Thomas
Williams George Thomas, 2021, "Replication Data for: Tephra cushioning of ballistic impacts: Quantifying building vulnerability through pneumatic cannon experiments and multiple fragility curve fitting approaches", https://doi.org/10.21979/N9/8XERMI, DR-NTU (Data), V1, UNF:6:sk3cIrexDPim07VWJpQybQ== [fileUNF]
Replication Data for: Tephra cushioning of ballistic impacts: Quantifying building vulnerability through pneumatic cannon experiments and multiple fragility curve fitting approaches
Oct 27, 2021 - Williams George Thomas
Williams George Thomas, 2021, "Replication Data for: How rainfall influences tephra fall loading — an experimental approach", https://doi.org/10.21979/N9/48FOZP, DR-NTU (Data), V1, UNF:6:ti1mBuk37H8SG8RTjjiDcA== [fileUNF]
Replication Data for: How rainfall influences tephra fall loading — an experimental approach
Sep 27, 2021 - Ong Xin Rui
Ong, Xin Rui; Hemprich-Bennett, David; Gray, Claudia L; Kemp, Victoria; Chung, Arthur Yc; Slade, Eleanor M, 2021, "Dung beetle community composition data", https://doi.org/10.21979/N9/MZ7RPY, DR-NTU (Data), V1, UNF:6:+4wEDDKLk2S7FNRBQwu0oA== [fileUNF]
Data was collected using either dung-baited pitfall traps or flight interception traps. Each row represents one trap, with the author/study information, name of study site, sampling period, trap type and habitat type. Dung beetle species and their abundances are listed. See metad...
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