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6,651 to 6,660 of 6,936 Results

LSTM_E1_6_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis Network Common Data Form - 167.9 MB - SHA-256: c467a57278ff013e20c4f22fa7163d9f3bec5c372177cd94170dd480a4e3958e Monthly water table depth anomalies generated from the proposed LSTM networks of E1.6 (evapotranspiration anomaly and soil moisture anomaly)
LSTM_E1_7_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis Network Common Data Form - 167.9 MB - SHA-256: 16ee2fe91b1129b2a79cc76f21d53d62bb566fd33b7d6d8ef8559748e8aadf04 Monthly water table depth anomalies generated from the proposed LSTM networks of E1.7 (precipitation anomaly, evapotranspiration anomaly and soil moisture anomaly)
LSTM_E2_1_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis Network Common Data Form - 167.9 MB - SHA-256: b7ec5b5accae616765f768c0becd8e2ad6fab4eb1daaaaee9d0af7ee64cdc357 Monthly water table depth anomalies generated from the proposed LSTM networks of E2.1 (precipitation anomaly, soil moisture anomaly and scaled yearly averaged snow water equivalent)
LSTM_E2_2_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis Network Common Data Form - 167.9 MB - SHA-256: 005b78e53e7a65064e34348b66ff975a8880336d85f8bb383aaa9d8728c7e4d7 Monthly water table depth anomalies generated from the proposed LSTM networks of E2.2 (precipitation anomaly and soil moisture anomaly at the selected pixels and adjacent pixels)
LSTM_E2_3_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis Network Common Data Form - 167.9 MB - SHA-256: d090fd16b6a96db6e91c6f418d3ac8fa4e793d0c1145269fce502124c7b80b25 Monthly water table depth anomalies generated from the proposed LSTM networks of E2.3 (precipitation anomaly and soil moisture anomaly at the selected pixels close to rivers and river stage anomaly at the adjacent pixels)
TSMP_G2A_monthly_evapotranspiration_anomaly_FZJ-IBG3_TSMP_0.1_degree_v1.1996_2016.nc Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis Network Common Data Form - 167.9 MB - SHA-256: a1260d6aed328110afbf60df25cd63a48ede47973954ce3eaea09c136a81a5b8 Monthly evapotranspiration anomalies calculated from the TSMP-G2A data set
TSMP_G2A_monthly_soil_moisture_anomaly_FZJ-IBG3_TSMP_0.1_degree_v1.1996_2016.nc Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis Network Common Data Form - 167.9 MB - SHA-256: 6290fd173e798af8c3aa343c1f44445997042ffbe93dd27c78c3e05dc06eb436 Monthly soil moisture anomalies calculated from the TSMP-G2A data set
fig5c.dat Dec 13, 2021 - Data used in: Nanoscale tip positioning with a multi-tip scanning tunneling microscope using topography images Fixed Field Text Data - 476 B - SHA-256: 9aa353cd982f7ec0ee433b2d06de8e506f131252fb2e2b008a31507bc0c70d0d Four-point resistance data used to produce figure 5c. ASCII format.
fig5c_inset.dat Dec 13, 2021 - Data used in: Nanoscale tip positioning with a multi-tip scanning tunneling microscope using topography images Fixed Field Text Data - 193.0 KB - SHA-256: 9058c5523dfc8bf11c86ecd1af29aca1523c82a4db2e96b9edfe9b744bae0680 I-V measurement data used to produce the inset of figure 5c. ASCII format.
Fig_3a.dat Sep 11, 2021 - Data used in: Lifting the Spin-Momentum Locking in Ultra-Thin Topological Insulator Films Fixed Field Text Data - 145 B - SHA-256: e262508ffccacb1a18d67f3a9a83f03999e5a53ad26d40265b65427f84cac675 Experimental and model conductivity data used to produce figure 3a. ASCII format.

LSTM_E1_6_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc

Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis

Network Common Data Form - 167.9 MB - SHA-256: c467a57278ff013e20c4f22fa7163d9f3bec5c372177cd94170dd480a4e3958e

Monthly water table depth anomalies generated from the proposed LSTM networks of E1.6 (evapotranspiration anomaly and soil moisture anomaly)

LSTM_E1_7_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc

Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis

Network Common Data Form - 167.9 MB - SHA-256: 16ee2fe91b1129b2a79cc76f21d53d62bb566fd33b7d6d8ef8559748e8aadf04

Monthly water table depth anomalies generated from the proposed LSTM networks of E1.7 (precipitation anomaly, evapotranspiration anomaly and soil moisture anomaly)

LSTM_E2_1_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc

Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis

Network Common Data Form - 167.9 MB - SHA-256: b7ec5b5accae616765f768c0becd8e2ad6fab4eb1daaaaee9d0af7ee64cdc357

Monthly water table depth anomalies generated from the proposed LSTM networks of E2.1 (precipitation anomaly, soil moisture anomaly and scaled yearly averaged snow water equivalent)

LSTM_E2_2_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc

Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis

Network Common Data Form - 167.9 MB - SHA-256: 005b78e53e7a65064e34348b66ff975a8880336d85f8bb383aaa9d8728c7e4d7

Monthly water table depth anomalies generated from the proposed LSTM networks of E2.2 (precipitation anomaly and soil moisture anomaly at the selected pixels and adjacent pixels)

LSTM_E2_3_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc

Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis

Network Common Data Form - 167.9 MB - SHA-256: d090fd16b6a96db6e91c6f418d3ac8fa4e793d0c1145269fce502124c7b80b25

Monthly water table depth anomalies generated from the proposed LSTM networks of E2.3 (precipitation anomaly and soil moisture anomaly at the selected pixels close to rivers and river stage anomaly at the adjacent pixels)

TSMP_G2A_monthly_evapotranspiration_anomaly_FZJ-IBG3_TSMP_0.1_degree_v1.1996_2016.nc

Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis

Network Common Data Form - 167.9 MB - SHA-256: a1260d6aed328110afbf60df25cd63a48ede47973954ce3eaea09c136a81a5b8

Monthly evapotranspiration anomalies calculated from the TSMP-G2A data set

TSMP_G2A_monthly_soil_moisture_anomaly_FZJ-IBG3_TSMP_0.1_degree_v1.1996_2016.nc

Dec 13, 2021 - An Indirect Approach Based on Long Short-Term Memory Networks to Estimate Groundwater Table Depth Anomalies Across Europe With an Application for Drought Analysis

Network Common Data Form - 167.9 MB - SHA-256: 6290fd173e798af8c3aa343c1f44445997042ffbe93dd27c78c3e05dc06eb436

Monthly soil moisture anomalies calculated from the TSMP-G2A data set

fig5c.dat

Dec 13, 2021 - Data used in: Nanoscale tip positioning with a multi-tip scanning tunneling microscope using topography images

Fixed Field Text Data - 476 B - SHA-256: 9aa353cd982f7ec0ee433b2d06de8e506f131252fb2e2b008a31507bc0c70d0d

Four-point resistance data used to produce figure 5c. ASCII format.

fig5c_inset.dat

Dec 13, 2021 - Data used in: Nanoscale tip positioning with a multi-tip scanning tunneling microscope using topography images

Fixed Field Text Data - 193.0 KB - SHA-256: 9058c5523dfc8bf11c86ecd1af29aca1523c82a4db2e96b9edfe9b744bae0680

I-V measurement data used to produce the inset of figure 5c. ASCII format.

Fig_3a.dat

Sep 11, 2021 - Data used in: Lifting the Spin-Momentum Locking in Ultra-Thin Topological Insulator Films

Fixed Field Text Data - 145 B - SHA-256: e262508ffccacb1a18d67f3a9a83f03999e5a53ad26d40265b65427f84cac675

Experimental and model conductivity data used to produce figure 3a. ASCII format.

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