Automated Organization Profile

Zhu

Current S-Index

8.1

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.6

Average Dataset Index per dataset

Total Datasets

5

Total datasets in this organization

Average FAIR Score

70.8%

Average FAIR Score per dataset

Total Citations

0

Total citations to the organization's datasets

Total Mentions

0

Total mentions of the organization's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Drought assessment of China in 2002–2017 based on a Detrended Combined Climatological Deviation Index

Detrended-CCDI.zip:The monthly drought results were identified by Detrended-CCDI from April 2002 to August 2017.Detrended-CCDI was calculated using GRACE data and precipitation data after the seasonal decomposition of time series based on the Loess (STL) method. Drought frenquency.zip:Drought frequency is the “n/m” ratio per pixel. “n” is the number of consecutive months (more than or equal to 3 months) in which Detrended-CCDI was less than or equal to -0.53, and “m” is the total number of months in the study period. Drought trend.zip:Drought trend was obtained using the modified Mann-Kendall (MMK) trend test method. Regional drought events.zip:A regional drought event is defined when the area where Detrended-CCDI is less than or equal to - 0.53 exceeds 100,000 km2 and the duration is more than 3 months. The severity of drought events is expressed by the average cumulative value of monthly Detrended-CCDI pixels.

Authors

  • Xiaoyun
0 Citations0 Mentions69% FAIR1.5 Dataset Index
10.5281/zenodo.5513347September 2021

Drought assessment of China in 2002–2017 based on a Detrended Combined Climatological Deviation Index

Detrended-CCDI.zip:The monthly drought results were identified by Detrended-CCDI from April 2002 to August 2017.Detrended-CCDI was calculated using GRACE data and precipitation data after the seasonal decomposition of time series based on the Loess (STL) method. Drought frenquency.zip:Drought frequency is the “n/m” ratio per pixel. “n” is the number of consecutive months (more than or equal to 3 months) in which Detrended-CCDI was less than or equal to -0.53, and “m” is the total number of months in the study period. Drought trend.zip:Drought trend was obtained using the modified Mann-Kendall (MMK) trend test method. Regional drought events.zip:A regional drought event is defined when the area where Detrended-CCDI is less than or equal to - 0.53 exceeds 100,000 km2 and the duration is more than 3 months. The severity of drought events is expressed by the average cumulative value of monthly Detrended-CCDI pixels. The China Flood and Drought Disaster Bulletin.zip:2002-2017 the China Flood and Drought Disaster Bulletins were from Ministry of Water Resources of the People's Republic of China

Authors

  • Xiaoyun
0 Citations0 Mentions69% FAIR1.5 Dataset Index
10.5281/zenodo.5513346September 2021

Drought assessment of China in 2002–2017 based on a Detrended Combined Climatological Deviation Index

Detrended-CCDI.zip:The monthly drought results were identified by Detrended-CCDI from April 2002 to August 2017.Detrended-CCDI was calculated using GRACE data and precipitation data after the seasonal decomposition of time series based on the Loess (STL) method. Drought frenquency.zip:Drought frequency is the “n/m” ratio per pixel. “n” is the number of consecutive months (more than or equal to 3 months) in which Detrended-CCDI was less than or equal to -0.53, and “m” is the total number of months in the study period. Drought trend.zip:Drought trend was obtained using the modified Mann-Kendall (MMK) trend test method. Regional drought events.zip:A regional drought event is defined when the area where Detrended-CCDI is less than or equal to - 0.53 exceeds 100,000 km2 and the duration is more than 3 months. The severity of drought events is expressed by the average cumulative value of monthly Detrended-CCDI pixels. The China Flood and Drought Disaster Bulletin.zip:2002-2017 the China Flood and Drought Disaster Bulletins were from Ministry of Water Resources of the People's Republic of China

Authors

  • Xiaoyun
0 Citations0 Mentions69% FAIR1.5 Dataset Index
10.5281/zenodo.5513475September 2021

Data For The Paper "Small-Scale Variabilities In The Electric Field And The Particle Precipitation And Their Impacts On Joule Heating"

This dataset works specifically for the paper Zhu et al., (2018), Small-scale variabilities in the electric field and the particle precipitation and their impacts on Joule heating. Notes:1) fig1 file for data generating fig 12) fig2 zip for data generating fig 2 3) fig3 file for data generating fig 34) fig4 zip for data generating fig 4 (In that zip file, Run 1 for fig 4a, Run2 for fig 4b, Run3 for fig 4c)

Authors

  • , Qingyu
0 Citations0 Mentions73% FAIR1.8 Dataset Index
10.5281/zenodo.1202418March 2018

Data For The Paper "Small-Scale Variabilities In The Electric Field And The Particle Precipitation And Their Impacts On Joule Heating"

This dataset works specifically for the paper Zhu et al., (2018), Small-scale variabilities in the electric field and the particle precipitation and their impacts on Joule heating. Notes:1) fig1 file for data generating fig 12) fig2 zip for data generating fig 2 3) fig3 file for data generating fig 34) fig4 zip for data generating fig 4 (In that zip file, Run 1 for fig 4a, Run2 for fig 4b, Run3 for fig 4c)

Authors

  • , Qingyu
0 Citations0 Mentions73% FAIR1.8 Dataset Index
10.5281/zenodo.1202417March 2018