Campus Collection

A "catch all" like collection of datasets for research data not fitting elsewhere.

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

1,811 to 1,820 of 1,841 Results

ERA5_Land_monthly_precipitation_anomaly_FZJ-IBG3_ERA5_Land_0.1_degree_v1.1981_052021.nc Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring Network Common Data Form - 323.2 MB - SHA-256: ad0ab24cc07a4a66b7e36408f4bd24c979c30dc305399d394cc4bf6039dddb12 Monthly precipitation anomalies (pr_a) derived from the ERA5 Land dataset (referred to: Muñoz Sabater, J.: ERA5-Land hourly data from 1981 to present, Copernicus Clim. Chang. Serv. Clim. Data Store, doi:10.24381/cds.e2161bac, 2021.)
ERA5_Land_monthly_soil_moisture_anomaly_FZJ-IBG3_ERA5_Land_0.1_degree_v1.1981_052021.nc Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring Network Common Data Form - 323.2 MB - SHA-256: 651e2e853d4421bed46ef7f5fab012dc1570a07f449fd0cc5d40606bb0fa4555 Monthly soil moisture anomalies (θ_a) derived from the ERA5 Land dataset (referred to: Muñoz Sabater, J.: ERA5-Land hourly data from 1981 to present, Copernicus Clim. Chang. Serv. Clim. Data Store, doi:10.24381/cds.e2161bac, 2021.)
GLEAM_monthly_soil_moisture_anomaly_FZJ-IBG3_GLEAM_0.1_degree_v1.1980_2020.nc Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring Network Common Data Form - 327.9 MB - SHA-256: af89272f98158109edaa1d23e07452328d923457a4b59f3a0a0acc099dafb5f9 Monthly soil moisture anomalies (θ_a) derived from the GLEAM dataset (referred to: Martens, B., Miralles, D. G., Lievens, H., van der Schalie, R., de Jeu, R. A. M., Fernández-Prieto, D., Beck, H. E., Dorigo, W. A. and Verhoest, N. E. C.: GLEAM v3: satellite-based land evaporati...
LSTM_m_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring Network Common Data Form - 335.9 MB - SHA-256: a79f2a29e8e09028af96db6fdc7039b8602ce65ce79d412f946761a5e15e1492 Monthly water table depth anomalies (wtd_a) estimates at pixels with water table depth (wtd) observations over Europe obtained by LSTM networks with modeling results as input
LSTM_obs_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring Network Common Data Form - 335.9 MB - SHA-256: 88fdab991dbe77b5d112190612fe9d012607efa22908d5152ae10558669c2670 Monthly water table depth anomalies (wtd_a) estimates at pixels with water table depth (wtd) observations over Europe obtained by LSTM networks trained on observations
LSTM_TL_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_TL_0.1_degree_v1.1996_2016.nc Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring Network Common Data Form - 335.9 MB - SHA-256: 93be9a8cda7a0ecdbeeb65bbdaf7a4ada323a3e2cf28b021531ec98c54c5261d Monthly water table depth anomalies (wtd_a) estimates at pixels with water table depth (wtd) observations over Europe obtained by LSTM-TL
LSTM_TL_RD1_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_TL_0.1_degree_v1.1981_2019.nc Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring Network Common Data Form - 623.8 MB - SHA-256: 8f27b8c82d6d73250112146a0223a227c88fd1cd6ac12df05eb3996ddc69400d Reconstructed European monthly water table depth anomaly (wtd_a) data RD1, obtained by LSTM-TL with ERA5 bias corrected precipitation anomalies (pr_a) and ERA5 Land soil moisture anomalies (θ_a) as input
LSTM_TL_RD2_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_TL_0.1_degree_v1.1980_2019.nc Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring Network Common Data Form - 639.7 MB - SHA-256: c60c893c86f972589f784c97b6051c3d4ed8ad09427b1a16d2889ed973adf7c9 Reconstructed European monthly water table depth anomaly (wtd_a) data RD2, obtained by LSTM-TL with ERA5 bias corrected precipitation anomalies (pr_a) and GLEAM soil moisture anomalies (θ_a) as input
LSTM_TL_RD3_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_TL_0.1_degree_v1.1995_082019.nc Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring Network Common Data Form - 394.5 MB - SHA-256: b6a76b48b023f524141fa7cc457adbc1989be928e4ab3149b540a5d328774b07 Reconstructed European monthly water table depth anomaly (wtd_a) data RD3, obtained by LSTM-TL with COSMO-REA6 precipitation anomalies (pr_a) and ERA5 Land soil moisture anomalies (θ_a) as input
LSTM_TL_RD4_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_TL_0.1_degree_v1.1995_082019.nc Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring Network Common Data Form - 394.5 MB - SHA-256: fa4354b03f608f69de350c36685c787cafd35c9dc8122e26b4ca10e3ebc0ebfd Reconstructed European monthly water table depth anomaly (wtd_a) data RD4, obtained by LSTM-TL with COSMO-REA6 precipitation anomalies (pr_a) and GLEAM soil moisture anomalies (θ_a) as input

ERA5_Land_monthly_precipitation_anomaly_FZJ-IBG3_ERA5_Land_0.1_degree_v1.1981_052021.nc

Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring

Network Common Data Form - 323.2 MB - SHA-256: ad0ab24cc07a4a66b7e36408f4bd24c979c30dc305399d394cc4bf6039dddb12

Monthly precipitation anomalies (pr_a) derived from the ERA5 Land dataset (referred to: Muñoz Sabater, J.: ERA5-Land hourly data from 1981 to present, Copernicus Clim. Chang. Serv. Clim. Data Store, doi:10.24381/cds.e2161bac, 2021.)

ERA5_Land_monthly_soil_moisture_anomaly_FZJ-IBG3_ERA5_Land_0.1_degree_v1.1981_052021.nc

Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring

Network Common Data Form - 323.2 MB - SHA-256: 651e2e853d4421bed46ef7f5fab012dc1570a07f449fd0cc5d40606bb0fa4555

Monthly soil moisture anomalies (θ_a) derived from the ERA5 Land dataset (referred to: Muñoz Sabater, J.: ERA5-Land hourly data from 1981 to present, Copernicus Clim. Chang. Serv. Clim. Data Store, doi:10.24381/cds.e2161bac, 2021.)

GLEAM_monthly_soil_moisture_anomaly_FZJ-IBG3_GLEAM_0.1_degree_v1.1980_2020.nc

Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring

Network Common Data Form - 327.9 MB - SHA-256: af89272f98158109edaa1d23e07452328d923457a4b59f3a0a0acc099dafb5f9

Monthly soil moisture anomalies (θ_a) derived from the GLEAM dataset (referred to: Martens, B., Miralles, D. G., Lievens, H., van der Schalie, R., de Jeu, R. A. M., Fernández-Prieto, D., Beck, H. E., Dorigo, W. A. and Verhoest, N. E. C.: GLEAM v3: satellite-based land evaporati...

LSTM_m_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc

Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring

Network Common Data Form - 335.9 MB - SHA-256: a79f2a29e8e09028af96db6fdc7039b8602ce65ce79d412f946761a5e15e1492

Monthly water table depth anomalies (wtd_a) estimates at pixels with water table depth (wtd) observations over Europe obtained by LSTM networks with modeling results as input

LSTM_obs_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_0.1_degree_v1.1996_2016.nc

Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring

Network Common Data Form - 335.9 MB - SHA-256: 88fdab991dbe77b5d112190612fe9d012607efa22908d5152ae10558669c2670

Monthly water table depth anomalies (wtd_a) estimates at pixels with water table depth (wtd) observations over Europe obtained by LSTM networks trained on observations

LSTM_TL_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_TL_0.1_degree_v1.1996_2016.nc

Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring

Network Common Data Form - 335.9 MB - SHA-256: 93be9a8cda7a0ecdbeeb65bbdaf7a4ada323a3e2cf28b021531ec98c54c5261d

Monthly water table depth anomalies (wtd_a) estimates at pixels with water table depth (wtd) observations over Europe obtained by LSTM-TL

LSTM_TL_RD1_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_TL_0.1_degree_v1.1981_2019.nc

Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring

Network Common Data Form - 623.8 MB - SHA-256: 8f27b8c82d6d73250112146a0223a227c88fd1cd6ac12df05eb3996ddc69400d

Reconstructed European monthly water table depth anomaly (wtd_a) data RD1, obtained by LSTM-TL with ERA5 bias corrected precipitation anomalies (pr_a) and ERA5 Land soil moisture anomalies (θ_a) as input

LSTM_TL_RD2_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_TL_0.1_degree_v1.1980_2019.nc

Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring

Network Common Data Form - 639.7 MB - SHA-256: c60c893c86f972589f784c97b6051c3d4ed8ad09427b1a16d2889ed973adf7c9

Reconstructed European monthly water table depth anomaly (wtd_a) data RD2, obtained by LSTM-TL with ERA5 bias corrected precipitation anomalies (pr_a) and GLEAM soil moisture anomalies (θ_a) as input

LSTM_TL_RD3_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_TL_0.1_degree_v1.1995_082019.nc

Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring

Network Common Data Form - 394.5 MB - SHA-256: b6a76b48b023f524141fa7cc457adbc1989be928e4ab3149b540a5d328774b07

Reconstructed European monthly water table depth anomaly (wtd_a) data RD3, obtained by LSTM-TL with COSMO-REA6 precipitation anomalies (pr_a) and ERA5 Land soil moisture anomalies (θ_a) as input

LSTM_TL_RD4_monthly_groundwater_table_depth_anomaly_FZJ-IBG3_LSTM_TL_0.1_degree_v1.1995_082019.nc

Dec 14, 2021 - Advancing AI-based pan-European groundwater monitoring

Network Common Data Form - 394.5 MB - SHA-256: fa4354b03f608f69de350c36685c787cafd35c9dc8122e26b4ca10e3ebc0ebfd

Reconstructed European monthly water table depth anomaly (wtd_a) data RD4, obtained by LSTM-TL with COSMO-REA6 precipitation anomalies (pr_a) and GLEAM soil moisture anomalies (θ_a) as input

Add Data

Share Dataverse

Link Dataverse

Reset Modifications