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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21,921 to 21,930 of 23,679 Results

Sb_bright field_empty.png Mar 29, 2022 - Replication Data for: Vertical structure of Sb-intercalated quasifreestanding graphene on SiC(0001) PNG Image - 1.2 MB - SHA-256: e3b4a7c4feac04bc52ef9e258ae58f901d8184766423b6beda28f9a356c11490
XPS_C1s_i09-1938498_Pos9_hv246099.TXT Mar 29, 2022 - Replication Data for: Vertical structure of Sb-intercalated quasifreestanding graphene on SiC(0001) Plain Text - 5.4 KB - SHA-256: 313b9f695cdb3c2534a93848515cc2d8b215f81135cec33befbe3d6f3db16977
XPS_Sb3d_i09-193500_Pos9_hv246099.TXT Mar 29, 2022 - Replication Data for: Vertical structure of Sb-intercalated quasifreestanding graphene on SiC(0001) Plain Text - 2.7 KB - SHA-256: 0c02cf006a6e44a69df4c1e9650de7badcd78e8c4ec7458c3f6cd6b51a4868cc
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

Sb_bright field_empty.png

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

PNG Image - 1.2 MB - SHA-256: e3b4a7c4feac04bc52ef9e258ae58f901d8184766423b6beda28f9a356c11490

XPS_C1s_i09-1938498_Pos9_hv246099.TXT

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

Plain Text - 5.4 KB - SHA-256: 313b9f695cdb3c2534a93848515cc2d8b215f81135cec33befbe3d6f3db16977

XPS_Sb3d_i09-193500_Pos9_hv246099.TXT

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

Plain Text - 2.7 KB - SHA-256: 0c02cf006a6e44a69df4c1e9650de7badcd78e8c4ec7458c3f6cd6b51a4868cc

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

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