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1 to 7 of 7 Results
Sep 7, 2022
Chen, Ying-Jiun; Jan-Philipp Hanke; Markus Hoffmann; Gustav Bihlmayer; Yuriy Mokrousov; Stefan Blügel; Claus M. Schneider; Christian Tusche, 2022, "Data used in: Spanning Fermi arcs in a two-dimensional magnet", https://doi.org/10.26165/JUELICH-DATA/CXWKMJ, Jülich DATA, V1
We provide here the raw data used to produce the figures in the publication Y.J. Chen et al. XXXXXXX, XX, XXXX, DOI: XXXXXXXX. All metadata necessary to analyze the data are contained in the files.
Aug 29, 2022
Tesch, Tobias; Kollet, Stefan; Garcke, Jochen; Katragkou, Eleni; Kartsios, Stergios, 2022, "Data set of the manuscript 'Opposite signs in local and nonlocal soil moisture-precipitation couplings across Europe'", https://doi.org/10.26165/JUELICH-DATA/YO3JCM, Jülich DATA, V1
This is a data set of the manuscript 'Opposite signs in local and nonlocal soil moisture-precipitation couplings across Europe', submitted to Geophysical Research Letters. It contains data from a convection-permitting (CP) simulation across central Europe. The simulation was perf...
Mar 28, 2022
Ma, Yueling; Montzka, Carsten; Naz, Bibi; Kollet, Stefan, 2021, "Advancing AI-based pan-European groundwater monitoring", https://doi.org/10.26165/JUELICH-DATA/ZBLDIR, Jülich DATA, V2
This study proposes an AI-based methodology combining Long Short-Term Memory (LSTM) networks and transfer learning (TL) to estimate water table depth anomalies (wtd_a) at the European scale in the absence of consistent water table depth (wtd) observational data sets, which is nam...
Mar 23, 2022
Acebron, Kelvin, 2022, "Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance", https://doi.org/10.26165/JUELICH-DATA/LCUQZC, Jülich DATA, V1
This dataset contains all the main and supplementary data collected from diurnal measurements of Arabidopsis npq mutants in the summer of 2017 and winter of 2018. The dataset is composed of reflectance measurements, passive fluorescence signal (SIF) and active fluorescence signal...
Mar 22, 2022
Acebron, Kelvin, 2022, "Specim IQ Camera: Dataset for Arabidopsis Case Study", https://doi.org/10.26165/JUELICH-DATA/OM1JKZ, Jülich DATA, V1
Hyperspectral imaging is a technique used in plant phenotyping which can detect differences in plant traits. Information about the morphology and physiology of plants can be derived by calculating spectral ratios (Vegetation Indices) from hyperspectral datacube. Here we publish t...
Dec 13, 2021
Ma, Yueling; Montzka, Carsten; Bayat, Bagher; Kollet, Stefan, 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", https://doi.org/10.26165/JUELICH-DATA/AMQ6NI, Jülich DATA, V1
This study introduced a number of hydrometeorological variables in addition to precipitation anomaly (pr_a) in the construction of Long Short-Term Memory (LSTM) networks to arrive at improved water table depth anomaly (wtd_a) at individual pixels over Europe in various experiment...
May 31, 2021
Ma, Yueling; Montzka, Carsten; Bayat, Bagher; Kollet, Stefan, 2021, "Using Long Short-Term Memory networks to connect water table depth anomalies to precipitation anomalies over Europe", https://doi.org/10.26165/JUELICH-DATA/WPRA1F, Jülich DATA, V1
This study utilized spatiotemporally continuous precipitation anomaly (pr_a) and water table depth anomaly (wtd_a) from integrated hydrologic simulation results (i.e., the TSMP-G2A data set) over Europe in combination with Long Short-Term Memory (LSTM) networks to capture the tim...
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