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1,221 to 1,230 of 11,071 Results
DV_Data_CKC.zip
Jun 28, 2024 - Label-free and fluorescent imaging data of microparticle association with Salmon Keratocytes
ZIP Archive - 14.2 GB - MD5: c924a319db219023f331dae82dcecee0
DV_Data_SKC.zip
Jun 28, 2024 - Label-free and fluorescent imaging data of microparticle association with Salmon Keratocytes
ZIP Archive - 38.5 GB - MD5: c6ca53e1ae8e00d69f3672f4fd123e8e
Nanolive_Data_CKC.zip
Jun 28, 2024 - Label-free and fluorescent imaging data of microparticle association with Salmon Keratocytes
ZIP Archive - 4.5 GB - MD5: 522fab2fa9ebdd169e34f3ee24288584
Nanonlive_Data_SKC.zip
Jun 28, 2024 - Label-free and fluorescent imaging data of microparticle association with Salmon Keratocytes
ZIP Archive - 20.8 GB - MD5: bf0fbbdfe413f5f9e8ee2c3a2273e6cb
Replication Data for: Spirocyclic pyrrolidinyl nitroxides with exo-methylene substituents
May 31, 2024
Sowiński, Mateusz P.; Warnke, Anna-Luisa; Lund, Bjarte A.; Skagseth, Susann; Cordes, David B.; Lovett, Janet E.; Haugland, Marius M., 2024, "Replication Data for: Spirocyclic pyrrolidinyl nitroxides with exo-methylene substituents", https://doi.org/10.18710/PIZ7H1, DataverseNO, V1
Nitroxides are stable organic radicals with exceptionally long lifetimes, which render them uniquely suitable as observable probes or polarising agents for spectroscopic investigation of biomolecular structure and dynamics. Radical-based probes for biological applications are ide...
00_readme.txt
May 31, 2024 - Replication Data for: Spirocyclic pyrrolidinyl nitroxides with exo-methylene substituents
Plain Text - 9.4 KB - MD5: b5f622150f8f5e815602c9e669cc142b
Manual and navigation of the dataset.
exo_methylene_spiro_nitroxides_dataset.zip
May 31, 2024 - Replication Data for: Spirocyclic pyrrolidinyl nitroxides with exo-methylene substituents
ZIP Archive - 36.9 MB - MD5: a9cafd2f3db234c5bc72a18d19f18324
Complete dataset with compounds list.
UNN-LC High-Resolution Histopathological Lung Tissue Patch Dataset
May 15, 2024
Shvetsov, Nikita; Kilvær, Thomas Karsten; Dalen, Stig Manfred, 2024, "UNN-LC High-Resolution Histopathological Lung Tissue Patch Dataset", https://doi.org/10.18710/ZZASBA, DataverseNO, V1
The UNN-LC High-Resolution Histopathological Lung Tissue Patch Dataset is a collection of image patches designed for computational prognostic evaluation of lung cancer. Compiled from a subset of 194 whole-slide images (WSIs) from the University Hospital of North Norway, this data...
00_README.txt
May 15, 2024 - UNN-LC High-Resolution Histopathological Lung Tissue Patch Dataset
Plain Text - 8.3 KB - MD5: 067d3506d80c4739c956c34a8ca91613
test_datasheet.csv
May 15, 2024 - UNN-LC High-Resolution Histopathological Lung Tissue Patch Dataset
Comma Separated Values - 112.5 KB - MD5: 8fdb95abd963945681e1638c998bbfe6
Comma separated table with "slide_id", "label", "img_name", and "split" columns for test subset
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