341 to 350 of 22,919 Results
Jan 27, 2026 -
FZJ 1056 cm² PEM electrolysis stack
Unknown - 86.1 KB - SHA-256: 441b983fb1b9fd1ede3a21af1ae5cd374701e18969f0310dceebaf988ef4ef4b
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Jan 27, 2026 -
FZJ 1056 cm² PEM electrolysis stack
Adobe PDF - 255.8 KB - SHA-256: b4e409172067504224df4985d60f8255ea2250e42c59d97fbacd7b0dd789ada3
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Jan 27, 2026 -
FZJ 1056 cm² PEM electrolysis stack
Unknown - 560.8 KB - SHA-256: 17d2368dbcec00215afaf98302152833df2f18ae4bba31413a8638a12a29d7ae
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Jan 27, 2026 -
FZJ 1056 cm² PEM electrolysis stack
Adobe PDF - 249.5 KB - SHA-256: c6d15b01dafdcaa82a4ce661161c0168ef832648568fca9ed462678b950b5ce0
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Jan 27, 2026 -
FZJ 1056 cm² PEM electrolysis stack
Unknown - 298.6 KB - SHA-256: d0ea436430d593aca9608e0ca2acba65aa19e13413acf2391de2ca7d042c6830
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Jan 27, 2026 -
FZJ 1056 cm² PEM electrolysis stack
Unknown - 11.0 KB - SHA-256: f684a376857e01be0b343a80c47712299beac3d4d983d1fe3b55cf43ba0421fe
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Jan 27, 2026 -
FZJ 1056 cm² PEM electrolysis stack
Unknown - 7.7 KB - SHA-256: 41cc52ca4f8265754a81dd735e559b477d5120fb907cca1f17855ebc6e37c138
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Jan 27, 2026 -
FZJ 1056 cm² PEM electrolysis stack
Unknown - 3.6 MB - SHA-256: de670e819a0d0200c23f567727645d24392622aa345001f37a278f6f6ee26a3c
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Jan 26, 2026 - Institute of Energy Technologies – Electrochemical Process Engineering (IET-4)
Seidenberg, Raphael; Gohlke, Clara; Diebold, Raphael; Seidl, Vera; Mechler, Anna; Mitsos, Alexander; Bongartz, Dominik, 2026, "Dataset for Publication: Bayesian Optimization of Electrode Conditioning of Ni(-Fe) Electrodes for the Alkaline Oxygen Evolution Reaction", https://doi.org/10.26165/JUELICH-DATA/W31JPG, Jülich DATA, V1
No files in this entry. Find the original files under the following doi: https://doi.org/10.5281/zenodo.15877929 |
Jan 26, 2026 - Institute of Climate and Energy Systems (ICE) – Jülich Systems Analysis (ICE-2)
Göpfert, Jan; Kuckertz, Patrick; Weinand, Jann M.; Stolten, Detlef, 2026, "Wiki-Quantities and Wiki-Measurements: Datasets of Quantities and their Measurement Context from Wikipedia", https://doi.org/10.26165/JUELICH-DATA/ABTNID, Jülich DATA, V1
The task of extracting quantitative information from text is typically approached in a pipeline manner, where quantities are identified before their individual measurement context is extracted. To support the development and evaluation of systems for measurement extraction, we pr... |


