Jülich DATA

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Jülich DATA is the central institutional repository for research data of Forschungszentrum Jülich.

It serves as a platform for all research data generated at Forschungszentrum Jülich or created in this context. Please feel welcome to index your research data here.

This service is managed by the Central Library. Please see our guide about how to use this service or feel free to reach out via email to forschungsdaten@fz-juelich.de.

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18,331 to 18,340 of 20,114 Results

XPS_Si2s_i09-193503_Pos10_hv246099.TXT Mar 29, 2022 - Replication Data for: Vertical structure of Sb-intercalated quasifreestanding graphene on SiC(0001) Plain Text - 2.8 KB - SHA-256: e816d6722d7379eb9c838cd6a511283a9d1beb07d577d9b3b56e42385be213d5
Open Access Monitor: OA-Zeitschriftenliste DFG-Anträge Mar 29, 2022 - Central Library Pollack, Philipp; Barbers, Irene; Lindstrot, Barbara; Stanzel, Franziska, 2021, "Open Access Monitor: OA-Zeitschriftenliste DFG-Anträge", https://doi.org/10.26165/JUELICH-DATA/HS8RFY, Jülich DATA, V4 Die Liste setzt sich zusammen aus Zeitschriften aus dem "DOAJ" und aus der "Bielefelder Liste" ISSN-Gold-OA. Mirror Journals wurden entfernt. Die Liste dient in der Webanwendung des Open Access Monitors als Filter für Auswertungen zur Unterstützung von Antragstellungen zum DFG Fö...
OAM_OA-Zeitschriften_DFG-Anträge_2022.csv Mar 29, 2022 - Open Access Monitor: OA-Zeitschriftenliste DFG-Anträge Comma Separated Values - 2.8 MB - SHA-256: 51356edb147190e53e7cf406baeaad241589dc1573d2dc0e60cc8bf5c400d9b5 Updated list with input from ISSN-GOLD-OA 5.0
Advancing AI-based pan-European groundwater monitoring Mar 28, 2022 - Campus Collection 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...
Example_script_for_the_implementation_of_LSTM_TL.ipynb Mar 28, 2022 - Advancing AI-based pan-European groundwater monitoring Jupyter Notebook - 82.0 KB - SHA-256: 9fae22a6005caf9cb3361e20ba0bd5954550e833e3444ef24a917abe41a77b5b A Jupyter Notebook showing an example about the implementation of LSTM-TL
Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance Mar 23, 2022 - Institute of Bio- and Geosciences – Plant Sciences (IBG-2) 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...
Delta_Reflectance_Summer.csv Mar 23, 2022 - Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance Comma Separated Values - 165.3 KB - SHA-256: 36e448158244da412a82acbf566721543545f0053ff58425cd45177d80f441f0
Difference_Reflectance_Summer.csv Mar 23, 2022 - Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance Comma Separated Values - 165.1 KB - SHA-256: 19eeb63469fe47b1febd5bbe6221b4f768d40fbbd3f6bed11fe57d2e2d903013
Diurnal_day1_winter_FLOX_data.csv Mar 23, 2022 - Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance Comma Separated Values - 63.8 KB - SHA-256: aed65b3590ec26489cc6112e5131fb6e67cd8784ef9f533be6ffbab8e119580d
Diurnal_day1_winter_LIFT_data.csv Mar 23, 2022 - Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance Comma Separated Values - 36.2 KB - SHA-256: 081b9a118deb28b68c660812d49c01f6efc6fe89f32e72a28c4149c1741bf143

XPS_Si2s_i09-193503_Pos10_hv246099.TXT

Mar 29, 2022 - Replication Data for: Vertical structure of Sb-intercalated quasifreestanding graphene on SiC(0001)

Plain Text - 2.8 KB - SHA-256: e816d6722d7379eb9c838cd6a511283a9d1beb07d577d9b3b56e42385be213d5

Open Access Monitor: OA-Zeitschriftenliste DFG-Anträge

Mar 29, 2022 - Central Library

Pollack, Philipp; Barbers, Irene; Lindstrot, Barbara; Stanzel, Franziska, 2021, "Open Access Monitor: OA-Zeitschriftenliste DFG-Anträge", https://doi.org/10.26165/JUELICH-DATA/HS8RFY, Jülich DATA, V4

Die Liste setzt sich zusammen aus Zeitschriften aus dem "DOAJ" und aus der "Bielefelder Liste" ISSN-Gold-OA. Mirror Journals wurden entfernt. Die Liste dient in der Webanwendung des Open Access Monitors als Filter für Auswertungen zur Unterstützung von Antragstellungen zum DFG Fö...

OAM_OA-Zeitschriften_DFG-Anträge_2022.csv

Mar 29, 2022 - Open Access Monitor: OA-Zeitschriftenliste DFG-Anträge

Comma Separated Values - 2.8 MB - SHA-256: 51356edb147190e53e7cf406baeaad241589dc1573d2dc0e60cc8bf5c400d9b5

Updated list with input from ISSN-GOLD-OA 5.0

Advancing AI-based pan-European groundwater monitoring

Mar 28, 2022 - Campus Collection

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...

Example_script_for_the_implementation_of_LSTM_TL.ipynb

Mar 28, 2022 - Advancing AI-based pan-European groundwater monitoring

Jupyter Notebook - 82.0 KB - SHA-256: 9fae22a6005caf9cb3361e20ba0bd5954550e833e3444ef24a917abe41a77b5b

A Jupyter Notebook showing an example about the implementation of LSTM-TL

Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance

Mar 23, 2022 - Institute of Bio- and Geosciences – Plant Sciences (IBG-2)

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...

Delta_Reflectance_Summer.csv

Mar 23, 2022 - Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance

Comma Separated Values - 165.3 KB - SHA-256: 36e448158244da412a82acbf566721543545f0053ff58425cd45177d80f441f0

Difference_Reflectance_Summer.csv

Mar 23, 2022 - Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance

Comma Separated Values - 165.1 KB - SHA-256: 19eeb63469fe47b1febd5bbe6221b4f768d40fbbd3f6bed11fe57d2e2d903013

Diurnal_day1_winter_FLOX_data.csv

Mar 23, 2022 - Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance

Comma Separated Values - 63.8 KB - SHA-256: aed65b3590ec26489cc6112e5131fb6e67cd8784ef9f533be6ffbab8e119580d

Diurnal_day1_winter_LIFT_data.csv

Mar 23, 2022 - Dataset for the Arabidopsis npq study using active and passive fluorescence and reflectance

Comma Separated Values - 36.2 KB - SHA-256: 081b9a118deb28b68c660812d49c01f6efc6fe89f32e72a28c4149c1741bf143

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