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121 to 130 of 235 Results
Jul 16, 2024 - Assessing volcanic hazard and exposure in a data poor context
Jenkins, Susanna, 2024, "Appendix F: Vent locations and spatial density maps – Cabo Verde", https://doi.org/10.21979/N9/3NMHHV, DR-NTU (Data), V1
Vent locations (as text files) and spatial density maps (as kmz and geotif) for Brava, Santo Antao, and Fogo (post-1680 and all vents separately). A pdf description of the metadata are provided.
Jul 16, 2024 - Assessing volcanic hazard and exposure in a data poor context
Jenkins, Susanna, 2024, "Appendix G: Exposure data", https://doi.org/10.21979/N9/0I3HZZ, DR-NTU (Data), V1, UNF:6:kjK2W9HNAXincKD7FyaqaQ== [fileUNF]
Exposure data (excel file) and metadata description for all hazards, thresholds, categories, and volcanoes
Jul 10, 2024 - Theresia Handayani MINA
Mina, Theresia Handayani; Shua, Irving Yu Le; Dewinta, Rahmania Putri; Teo, Pey Sze; Low, Dorrain Yanwen; Bhaskaran, Kalpana; Loh, Win Nie; Lim, Yen Peng; Chambers, John Campbell, 2024, "Related Data for: The development and validation of a macronutrient and taste preference ranking task in multiethnic Asian population", https://doi.org/10.21979/N9/5WZKV9, DR-NTU (Data), V1, UNF:6:Br9njaBiEAO6shhoDON/PQ== [fileUNF]
Here we present: i) an anonymised MTPRT dataset, not yet scored; ii) dictionary file suitable for scoring R script; iii) MTPRT scoring R script and iv) an anonymised MTPRT dataset, already scored. These files were used for the analysis in https://doi.org/10.1016/j.foodqual.2024.1...
Jul 9, 2024 - CHEONG Siew Ann
Cheong, Siew Ann, 2024, "Data-Driven Approach to Understanding Complex Urban Phe-nomena: A Preliminary Study on the Gentrification of H Street NE in Washington DC", https://doi.org/10.21979/N9/N9F5ZU, DR-NTU (Data), V1
Python scripts and secondary data sets used in our study of the gentrification of H Street NE in Washington DC.
Jul 9, 2024 - Edmund LEE Wei Jian
Lee, Edmund Wei Jian, 2024, "Health Apps and Wearables Use in ASEAN", https://doi.org/10.21979/N9/K3AWVT, DR-NTU (Data), V1, UNF:6:UmMNQkgWI9mN/b/jkMCyrQ== [fileUNF]
This is a large scale survey data of health apps and wearables use among selected ASEAN nations
Jul 9, 2024 - NRF Project Grant SBP01
Liang, Zhao-Xun, 2024, "Data for Project: Heterologous Production Of Cannabinoids In Proprietary Streptomyces Hosts", https://doi.org/10.21979/N9/I4TNKA, DR-NTU (Data), V1
Enclosed here are genome sequencing data for the two microbial chassis, protocols, methods, and other chemical and biochemical data.
Jul 6, 2024 - Digital Signal Processing Laboratory
Lam, Bhan; Ong, Zhen-Ting; Ooi, Kenneth; Boey, Vanessa; Lee, Irene; Gan, Woon-Seng, 2024, "Replication Data for: Automating Urban Soundscape Enhancements with AI: In-situ Assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas", https://doi.org/10.21979/N9/NEH5TR, DR-NTU (Data), V1, UNF:6:9KOXblQ6z2TXvHhC2clk1w== [fileUNF]
This dataset contains the following data tables: amss_insitu_participant_data.csv: Participant responses to site evaluation comb_obj_insitu_session_data.csv: Per session combined objective acoustic measurement and subjective response data The variables contained in each data tabl...
Jul 3, 2024 - Safe ML
Yuhas, Michael John; Easwaran, Arvind, 2024, "Replication Data for: Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems", https://doi.org/10.21979/N9/YIOFK8, DR-NTU (Data), V2
Replication Data for: Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems
Jul 3, 2024 - Paul Wen LIU
Liu, Paul Wen, 2024, "An investigation of the structural and electronic origins of enhanced chemical looping air separation performance of B-site substituted SrFe1-xCoxO3-δ perovskites", https://doi.org/10.21979/N9/OGIWAS, DR-NTU (Data), V1
This dataset provides the research data for the manuscript "An investigation of the structural and electronic origins of enhanced chemical looping air separation performance of B-site substituted SrFe1-xCoxO3-δ perovskites".
Jul 2, 2024 - QIN Xiaosheng
Muthuvel, Dineshkumar, 2024, "Future annual extreme precipitation indices for South East Asia", https://doi.org/10.21979/N9/7ELP0O, DR-NTU (Data), V1, UNF:6:qvuBjyMn1EN7e0wf87BVTw== [fileUNF]
Future annual extreme precipitation indices for South East Asian countries have been provided. Variables used: R95p: total precipitation when rain > 95th percentile (mm) Rx5Day: maximum 5-day precipitation (mm) R10mm: number of heavy precipitation days 10 >= rain < 20 mm (days) C...
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