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41 to 50 of 374 Results
Springer Hybrid (DEAL) 2020-2022.csv
Comma Separated Values - 106.5 KB - SHA-256: 456faee678906034eb3f4f7961903c31f998f25b90b80082a576efe136730990
Taylor Francis ZBW.csv
Comma Separated Values - 14.4 KB - SHA-256: fa09a2358495323e9f20fe3d9b34e6540d1fef0a5bb030760497fae138abbab1
Thieme 1 2019-2023.csv
Comma Separated Values - 71 B - SHA-256: 53e4da879637f92f3a783c1fba8a9bd7eb5b67c78cccc6ba354f60095e720c99
Thieme 2 2021-2025.csv
Comma Separated Values - 158 B - SHA-256: ffaa58894d97a395d1e8c16a1bed9d06c292016f16d0f34be646d85bea4c8370
Wiley Gold (DEAL) 2019-2022.csv
Comma Separated Values - 11.3 KB - SHA-256: 0cbc829822008393dab5c4690c68306f876751126f38e36db72cc18a11a096d5
Wiley Hybrid (DEAL) 2019-2022.csv
Comma Separated Values - 69.6 KB - SHA-256: 012f5dcf469abf0e72c8fb089b5ba56f02d63d0f3d91ee51e82ce808571bef03
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
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
Jupyter Notebook - 82.0 KB - SHA-256: 9fae22a6005caf9cb3361e20ba0bd5954550e833e3444ef24a917abe41a77b5b
A Jupyter Notebook showing an example about the implementation of LSTM-TL
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