Asian School of the Environment (ASE)

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3,251 to 3,260 of 4,422 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
Pest_analysis.R Mar 12, 2023 - Dataset for: Local scale crop compositional heterogeneity suppresses the abundance of a major lepidopteran pest of cruciferous vegetables R Syntax - 8.8 KB - MD5: 5bf4deef703bb734319aab65448f42d1
Pest_data_Priyadarshana et al. 2023.tab Mar 12, 2023 - Dataset for: Local scale crop compositional heterogeneity suppresses the abundance of a major lepidopteran pest of cruciferous vegetables Tabular Data - 1.2 KB - 1 Variables, 19 Observations - UNF:6:LN1NzRCEqQEhOmHs8JLP/A==
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.
readme.docx Feb 27, 2023 - Seismic receiver function data of Aceh, Indonesia MS Word - 15.4 KB - MD5: fa0fcac34157b8c390cafee6fd26bb3f
AcehRFs.zip Feb 24, 2023 - Seismic receiver function data of Aceh, Indonesia ZIP Archive - 58.3 MB - MD5: 4ef9140047680920e3ab4c7c29b0fbf2
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.
Raw Data and Source Code.zip Feb 2, 2023 - Replication Data for: Quantifying photodegradation of peatland-derived dissolved organic carbon in the coastal ocean of Southeast Asia ZIP Archive - 150.1 MB - MD5: 870e58eadbc1366b635cfadc419b58e6
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"
SG01_rawdata.zip Jan 6, 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 ZIP Archive - 948.7 MB - MD5: 6ae55f1b05585df5d4f5171e0acd73d3 Singapore infrasound recordings (SG01) 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"

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

Pest_analysis.R

Mar 12, 2023 - Dataset for: Local scale crop compositional heterogeneity suppresses the abundance of a major lepidopteran pest of cruciferous vegetables

R Syntax - 8.8 KB -

Pest_data_Priyadarshana et al. 2023.tab

Mar 12, 2023 - Dataset for: Local scale crop compositional heterogeneity suppresses the abundance of a major lepidopteran pest of cruciferous vegetables

Tabular Data - 1.2 KB - 1 Variables, 19 Observations -

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.

readme.docx

Feb 27, 2023 - Seismic receiver function data of Aceh, Indonesia

MS Word - 15.4 KB -

AcehRFs.zip

Feb 24, 2023 - Seismic receiver function data of Aceh, Indonesia

ZIP Archive - 58.3 MB -

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.

Raw Data and Source Code.zip

Feb 2, 2023 - Replication Data for: Quantifying photodegradation of peatland-derived dissolved organic carbon in the coastal ocean of Southeast Asia

ZIP Archive - 150.1 MB -

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"

SG01_rawdata.zip

Jan 6, 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

ZIP Archive - 948.7 MB -

Singapore infrasound recordings (SG01) 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"

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