Asian School of the Environment (ASE)

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91 to 100 of 219 Results

Dataset for: Local scale crop compositional heterogeneity suppresses the abundance of a major lepidopteran pest of cruciferous vegetables Mar 12, 2023 - Thilakarathna Mudiyanselage Tharaka Sudesh PRIYADARSHANA Priyadarshana, Tharaka S.; Lee, Myung-Bok; Slade, Eleanor. M; Goodale, Eben, 2023, "Dataset for: Local scale crop compositional heterogeneity suppresses the abundance of a major lepidopteran pest of cruciferous vegetables", https://doi.org/10.21979/N9/NKOVPF, DR-NTU (Data), V1, UNF:6:LN1NzRCEqQEhOmHs8JLP/A== [fileUNF] This includes the data and R-codes for the statistics
Thilakarathna Mudiyanselage Tharaka Sudesh PRIYADARSHANA(Nanyang Technological University) Mar 12, 2023 Appointment: PhD Student
Seismic receiver function data of Aceh, Indonesia Feb 27, 2023 - Feng Mingye Feng, Mingye; Wei, Shengji, 2023, "Seismic receiver function data of Aceh, Indonesia", https://doi.org/10.21979/N9/KVO4JM, DR-NTU (Data), V2 This dataset archives P-wave receiver functions derived from seismograms of 155 Z-land short-period nodal stations and 2 broadband stations deployed in Aceh, northern Sumatra.
Feng Mingye(Nanyang Technological University) Feb 24, 2023 Appointment: Visiting PhD Student (Graduated)
Replication Data for: Quantifying photodegradation of peatland-derived dissolved organic carbon in the coastal ocean of Southeast Asia Feb 2, 2023 - ZHOU Yongli Zhou, Yongli, 2022, "Replication Data for: Quantifying photodegradation of peatland-derived dissolved organic carbon in the coastal ocean of Southeast Asia", https://doi.org/10.21979/N9/XQSOEN, DR-NTU (Data), V3, UNF:6:fb2uO1YUwibntxgL1r5RpA== [fileUNF] Data set and source code for running the model simulation in this study.
SuPreMeChiF – a New Approach to Detect Subtle Changes in Continuous Monitoring Data, with a case study of COVID-19 impact in Singapore through seismic and infrasound recordings Jan 6, 2023 - Study around COVID-19 lockdown Luo, Yizhou, 2023, "SuPreMeChiF – a New Approach to Detect Subtle Changes in Continuous Monitoring Data, with a case study of COVID-19 impact in Singapore through seismic and infrasound recordings", https://doi.org/10.21979/N9/1ZRELD, DR-NTU (Data), V1 This dataset contains infrasound recordings used for analysis for the paper "SuPreMeChiF – a New Approach to Detect Subtle Changes in Continuous Monitoring Data, with a case study of COVID-19 impact in Singapore through seismic and infrasound recordings"
Study around COVID-19 lockdown(Nanyang Technological University) Jan 6, 2023Singapore INfrasound Group
ESM_1: Database of Potentially Active Volcanoes Sep 20, 2022 - Regional probability of unexpected eruptions from potentially active volcanoes Burgos, Vanesa, 2022, "ESM_1: Database of Potentially Active Volcanoes", https://doi.org/10.21979/N9/4JLCSO, DR-NTU (Data), V1, UNF:6:uT+hXixKzsD3OfpzZCTYKg== [fileUNF] ESM_1 is an excel file containing the database of potentially active volcanoes from the associated paper Burgos, V., Jenkins, S., Bebbington, M., Newhall, C., Taisne, B., In Preparation. Regional probability of unexpected eruptions from potentially active volcanoes, submitted to...
ESM_2: Population exposure Sep 20, 2022 - Regional probability of unexpected eruptions from potentially active volcanoes Burgos, Vanesa, 2022, "ESM_2: Population exposure", https://doi.org/10.21979/N9/KG70CC, DR-NTU (Data), V1, UNF:6:xMv/Tg7hLh30py7W5RC8LQ== [fileUNF] ESM_2 is an excel file containing calculated population exposure to potentially active volcanoes from the associated paper Burgos, V., Jenkins, S., Bebbington, M., Newhall, C., Taisne, B., In Preparation. Regional probability of unexpected eruptions from potentially active volcan...
Regional probability of unexpected eruptions from potentially active volcanoes(Nanyang Technological University) Sep 20, 2022Vanesa Burgos Delgado Dataverse containing Supplementary Material from: Burgos, V., Jenkins, S.F., Bebbington, M. et al. What is the probability of unexpected eruptions from potentially active volcanoes or regions?. Bull Volcanol 84, 97 (2022). https://doi.org/10.1007/s00445-022-01605-0

Dataset for: Local scale crop compositional heterogeneity suppresses the abundance of a major lepidopteran pest of cruciferous vegetables

Mar 12, 2023 - Thilakarathna Mudiyanselage Tharaka Sudesh PRIYADARSHANA

Priyadarshana, Tharaka S.; Lee, Myung-Bok; Slade, Eleanor. M; Goodale, Eben, 2023, "Dataset for: Local scale crop compositional heterogeneity suppresses the abundance of a major lepidopteran pest of cruciferous vegetables", https://doi.org/10.21979/N9/NKOVPF, DR-NTU (Data), V1, UNF:6:LN1NzRCEqQEhOmHs8JLP/A== [fileUNF]

This includes the data and R-codes for the statistics

Thilakarathna Mudiyanselage Tharaka Sudesh PRIYADARSHANA(Nanyang Technological University)

Mar 12, 2023

Appointment: PhD Student

Seismic receiver function data of Aceh, Indonesia

Feb 27, 2023 - Feng Mingye

Feng, Mingye; Wei, Shengji, 2023, "Seismic receiver function data of Aceh, Indonesia", https://doi.org/10.21979/N9/KVO4JM, DR-NTU (Data), V2

This dataset archives P-wave receiver functions derived from seismograms of 155 Z-land short-period nodal stations and 2 broadband stations deployed in Aceh, northern Sumatra.

Feng Mingye(Nanyang Technological University)

Feb 24, 2023

Appointment: Visiting PhD Student (Graduated)

Replication Data for: Quantifying photodegradation of peatland-derived dissolved organic carbon in the coastal ocean of Southeast Asia

Feb 2, 2023 - ZHOU Yongli

Zhou, Yongli, 2022, "Replication Data for: Quantifying photodegradation of peatland-derived dissolved organic carbon in the coastal ocean of Southeast Asia", https://doi.org/10.21979/N9/XQSOEN, DR-NTU (Data), V3, UNF:6:fb2uO1YUwibntxgL1r5RpA== [fileUNF]

Data set and source code for running the model simulation in this study.

SuPreMeChiF – a New Approach to Detect Subtle Changes in Continuous Monitoring Data, with a case study of COVID-19 impact in Singapore through seismic and infrasound recordings

Jan 6, 2023 - Study around COVID-19 lockdown

Luo, Yizhou, 2023, "SuPreMeChiF – a New Approach to Detect Subtle Changes in Continuous Monitoring Data, with a case study of COVID-19 impact in Singapore through seismic and infrasound recordings", https://doi.org/10.21979/N9/1ZRELD, DR-NTU (Data), V1

This dataset contains infrasound recordings used for analysis for the paper "SuPreMeChiF – a New Approach to Detect Subtle Changes in Continuous Monitoring Data, with a case study of COVID-19 impact in Singapore through seismic and infrasound recordings"

Study around COVID-19 lockdown(Nanyang Technological University)

Jan 6, 2023Singapore INfrasound Group

ESM_1: Database of Potentially Active Volcanoes

Sep 20, 2022 - Regional probability of unexpected eruptions from potentially active volcanoes

Burgos, Vanesa, 2022, "ESM_1: Database of Potentially Active Volcanoes", https://doi.org/10.21979/N9/4JLCSO, DR-NTU (Data), V1, UNF:6:uT+hXixKzsD3OfpzZCTYKg== [fileUNF]

ESM_1 is an excel file containing the database of potentially active volcanoes from the associated paper Burgos, V., Jenkins, S., Bebbington, M., Newhall, C., Taisne, B., In Preparation. Regional probability of unexpected eruptions from potentially active volcanoes, submitted to...

ESM_2: Population exposure

Sep 20, 2022 - Regional probability of unexpected eruptions from potentially active volcanoes

Burgos, Vanesa, 2022, "ESM_2: Population exposure", https://doi.org/10.21979/N9/KG70CC, DR-NTU (Data), V1, UNF:6:xMv/Tg7hLh30py7W5RC8LQ== [fileUNF]

ESM_2 is an excel file containing calculated population exposure to potentially active volcanoes from the associated paper Burgos, V., Jenkins, S., Bebbington, M., Newhall, C., Taisne, B., In Preparation. Regional probability of unexpected eruptions from potentially active volcan...

Regional probability of unexpected eruptions from potentially active volcanoes(Nanyang Technological University)

Sep 20, 2022Vanesa Burgos Delgado

Dataverse containing Supplementary Material from: Burgos, V., Jenkins, S.F., Bebbington, M. et al. What is the probability of unexpected eruptions from potentially active volcanoes or regions?. Bull Volcanol 84, 97 (2022). https://doi.org/10.1007/s00445-022-01605-0

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