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DATADOI on multidistsiplinaarne avatud repositoorium teadusandmete jagamiseks ja avaldamiseks, mis põhineb avatud lähtekoodiga Dataverse tarkvaral.

Andmed tuleks talletada selle asutuse kollektsiooni, millega vähemalt üks kaasautoritest on seotud. DATADOI sisaldab praegu institutsionaalseid kollektsioone Tartu Ülikoolile, Tallinna Ülikoolile, Estonian Business Schoolile ja Eesti Teadusagentuurile.

Kui sobivat kollektsiooni veel ei ole, võtke ühendust DATADOI meeskonnaga aadressil datadoi@datadoi.ee.

DATADOI is a multidisciplinary open repository for sharing and publishing research data, based on the open-source Dataverse software.

Data should be deposited in the institutional collection assigned to the institution with which at least one of the contributors is affiliated. DATADOI currently includes institutional collections for the University of Tartu, Tallinn University, Estonian Business School, and the Estonian Research Council.

If a suitable collection does not yet exist, please contact the DATADOI team at datadoi@datadoi.ee.

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2,021 to 2,030 of 3,476 Results
ArtSeg-CHO-M4R: artifact segmentation in microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells.
Jan 24, 2022 - Arvutiteaduse andmed
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
UT-GPCR001 microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells
Jan 19, 2022 - Keemia instituudi andmed
Tahk, Maris-Johanna; Torp, Jane; Ali, Mohammed A.S.; Fishman, Dmytro; Parts, Leopold; Grätz, Lukas; Müller, Christoph; Keller, Max; Veikšina, Santa; Laasfeld, Tõnis; Rinken, Ago, 2022, "UT-GPCR001 microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells", https://doi.org/10.23673/RE-306, DATADOI, V1
The "UT-GPCR001 microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells" dataset contains the raw microscopy images of the experiments along with images processed using the random forest algorithm and U-Net3 based deep convolutional neural networks for cell segmentation from bright-field images. The dataset contains experime...
200130_183419_CHO-K1-hM4R-UR-CG072-competition_full.zip
Jan 19, 2022 - UT-GPCR001 microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells
ZIP Archive - 4.2 GB - MD5: 889152851e22a51c02e8a5eaf00c8eab
200131_180737_CHO-K1-hM4R-UR-CG072-competition_full.zip
Jan 19, 2022 - UT-GPCR001 microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells
ZIP Archive - 4.2 GB - MD5: 6f31c1141233138688ad137a96d253fa
200201_151446_CHO-K1-hM4R-UR-CG072-kinetics_full.zip
Jan 19, 2022 - UT-GPCR001 microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells
ZIP Archive - 14.4 GB - MD5: 8ef70fe948e5999935943f394764856d
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