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Jülich DATA (Forschungszentrum Jülich GmbH)
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501 to 510 of 20,114 Results
WG64B03_SFM_ox_final-state.xye
Unknown - 477.4 KB - SHA-256: 5e62e6f35637d35578ed332c74b936641d555810b1a3552ca719267c42172777
WG64B_ox_HT1_25-850C.csv
Comma Separated Values - 3.7 KB - SHA-256: 1ca57e68d08920ce637dc93ebdbed578fb2a089aea3f8eaab3427cfdefb8d572
WG64B_ox_HT1_900-25C.csv
Comma Separated Values - 6.5 KB - SHA-256: bb690daaab1d9b2e1ec0ccefa4b05609427f5ec49aa97b089450dc4bd994ffc4
High-Temperature Conversion(IET-1)
Oct 10, 2025Institute of Energy Technologies – Fundamental Electrochemistry (IET-1)
Replication Data for: From Fibers to Cells: Fourier-Based Registration Enables Virtual Cresyl Violet Staining From 3D Polarized Light Imaging
Oct 10, 2025 - Institute of Neuroscience and Medicine – Structural and functional organisation of the brain (INM-1)
Oberstrass, Alexander; Vaca-Cerda, Esteban; Upschulte, Eric; Niu, Meiqi; Palomero-Gallagher, Nicola; Graessel, David; Schiffer, Christian; Axer, Markus; Amunts, Katrin; Dickscheid, Timo, 2025, "Replication Data for: From Fibers to Cells: Fourier-Based Registration Enables Virtual Cresyl Violet Staining From 3D Polarized Light Imaging", https://doi.org/10.26165/JUELICH-DATA/ZOBFV7, Jülich DATA, V3
This dataset contains replication data for the article "From Fibers to Cells: Fourier-Based Registration Enables Virtual Cresyl Violet Staining From 3D Polarized Light Imaging". It comprises 31 square regions of interest (ROIs, 4096 × 4096 px, 1.3 µm/px ≈ 5.3 mm), extracted from...
0027_model-gramreg_virtual.h5
Hierarchical Data Format - 64.1 MB - SHA-256: 9bd1554455575c62d2e545139d294b668269dbb7fccff1942a4d2f51d9f874ee
0028_model-gramreg_virtual.h5
Hierarchical Data Format - 64.1 MB - SHA-256: 62198de1988bbeab7d7aecd000fdae08210ba8a9efc009dd032f50c5032a82b2
0029_model-gramreg_virtual.h5
Hierarchical Data Format - 64.1 MB - SHA-256: 64e7cfeb3810b709a3c422f0b595eca3c0c3d450967377f8f26c07eb0355e281
0030_model-gramreg_virtual.h5
Hierarchical Data Format - 64.1 MB - SHA-256: 439110210f615af55d5fd2cc2d2e8d5abe221737ef73b5ad779cea4ff9dd1edb
section-0559_direction.tif
TIFF Image - 1.6 GB - SHA-256: 54acbe6632cac4d35db3a9c25380157154881d130de75b4323ab88de7c507e94
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