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31 to 40 of 57 Results
ArtSeg-CHO-M4R: artifact segmentation in microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells.
Jan 24, 2022
Ali, Mohammed A. S.; Hollo, Kaspar; Laasfeld, Tõnis; Torp, Jane; Tahk, Maris-Johanna; Rinken, Ago; Palo, Kaupo; Parts, Leopold; Fishman, Dmytro, 2022, "ArtSeg-CHO-M4R: artifact segmentation in microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells.", https://doi.org/10.23673/RE-307, DATADOI, V1
The "ArtSeg-CHO-M4R, artifact segmentation in microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells" dataset contains microscopy images along with the ground truth binary masks for artifact segmentation from brightfield images. The dataset consists of three main directories for train, validation, and test splits. The image...
ArtSeg-CHO-M4R_test.zip
Jan 24, 2022 - ArtSeg-CHO-M4R: artifact segmentation in microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells.
ZIP Archive - 353.6 MB - MD5: 2bfba2ed31260663f37d738a2c433683
Test split of the ArtSeg-CHO-M4R dataset
ArtSeg-CHO-M4R_train.zip
Jan 24, 2022 - ArtSeg-CHO-M4R: artifact segmentation in microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells.
ZIP Archive - 868.6 MB - MD5: 5dc5f1720ff4b3c12754aaf4946e2cf7
Training split of the ArtSeg-CHO-M4R dataset
ArtSeg-CHO-M4R_validation.zip
Jan 24, 2022 - ArtSeg-CHO-M4R: artifact segmentation in microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells.
ZIP Archive - 246.4 MB - MD5: f6101014b4754a6bfa8fa68cca21726d
Validation split of the ArtSeg-CHO-M4R dataset
migratsioonieelne_statistika.html
Jan 24, 2022 - ArtSeg-CHO-M4R: artifact segmentation in microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells.
HTML - 700 B - MD5: 79da7ba44461b593b4f6afc1f09853c4
2026. aasta migratsiooni käigus varasemast DataDOI süsteemist üle kantud kasutusstatistika kajastab tegevust eelmises DSpace-põhises süsteemis ega näita Dataverse’i uusi kasutusandmeid. Usage statistics carried over from the previous DataDOI system as part of the 2026 migration reflect activity in the former DSpace-based system and do not represent...
README.txt
Jan 24, 2022 - ArtSeg-CHO-M4R: artifact segmentation in microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells.
Plain Text - 3.8 KB - MD5: f629ed3253c97c7b94ee700396f04527
HPC Cloud traces for better cloud service reliability
Dec 7, 2021
Dehury, Chinmaya Kumar; Chhetri, Tek Raj; Lind, Artjom; Srirama, Satish Narayana; Fensel, Anna, 2021, "HPC Cloud traces for better cloud service reliability", https://doi.org/10.23673/RE-300, DATADOI, V1
This data is in support of the research on "A combined system metrics approach to cloud service reliability using artificial intelligence" (doi: 10.20944/preprints202111.0548.v1)
Anonymised_data_V1.zip
Dec 7, 2021 - HPC Cloud traces for better cloud service reliability
ZIP Archive - 108.4 MB - MD5: c666a71f98376ba80b3a3112ecdd47ad
Contains the actual data in CSV and the code to anonymise the sesitive data.
migratsioonieelne_statistika.html
Dec 7, 2021 - HPC Cloud traces for better cloud service reliability
HTML - 1.4 KB - MD5: 72348ee90b7662e869e642f00d89cc96
2026. aasta migratsiooni käigus varasemast DataDOI süsteemist üle kantud kasutusstatistika kajastab tegevust eelmises DSpace-põhises süsteemis ega näita Dataverse’i uusi kasutusandmeid. Usage statistics carried over from the previous DataDOI system as part of the 2026 migration reflect activity in the former DSpace-based system and do not represent...
README_DATA.txt
Dec 7, 2021 - HPC Cloud traces for better cloud service reliability
Plain Text - 2.7 KB - MD5: f39cf0e1384e3bd39d931aefce86c262
Readme for the actual data present in "Anonymize_data_V2" zip file.
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