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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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251 to 260 of 446 Results
Data of Iron-Containing Nitrogen-Doped Carbon Nanomaterials Prepared via NaCl Template as Efficient Electrocatalysts for the Oxygen Reduction Reaction
Feb 20, 2022 - Keemia instituudi andmed
Juvanen, Silver; Sarapuu, Ave; Vlassov, Sergei; Kook, Mati; Kisand, Vambola; Käärik, Maike; Treshchalov, Alexey; Aruväli, Jaan; Kozlova, Jekaterina; Tamm, Aile; Leis, Jaan; Tammeveski, Kaido, 2022, "Data of Iron-Containing Nitrogen-Doped Carbon Nanomaterials Prepared via NaCl Template as Efficient Electrocatalysts for the Oxygen Reduction Reaction", https://doi.org/10.23673/RE-315, DATADOI, V1
The dataset contains the data presented in the figures of published paper: "Iron-Containing Nitrogen-Doped Carbon Nanomaterials Prepared via NaCl Template as Efficient Electrocatalysts for Oxygen Reduction Reaction", ChemElectroChem 8 (2021) 2288-2297 (https://doi.org/10.1002/celc.202100571)
Töö- ja pereelu ühitamise uuring
Feb 16, 2022 - Eesti sotsiaalteaduslik andmearhiiv
Eomois, Ester; Põder, Kaire, 2022, "Töö- ja pereelu ühitamise uuring", https://doi.org/10.23673/RE-313, DATADOI, V1
Töö- ja pereelu ühitamise uuringul oli kaks osa. Neis esimese raames testiti soorollide, stereotüüpide ja normide teadvustamiseks loodud videosalvestise vaatamise mõju Eesti keskkoolinoortele ning teise raames töötavatele täiskasvanutele. Katse käigus näidatud lühifilm oli identne aga ankeetküsitluse käigus esitatud küsimused taustakarakteristikute...
Data of oxygen reduction reaction on Pd nanocatalysts prepared by plasma-assisted synthesis on different carbon nanomaterials
Feb 16, 2022 - Keemia instituudi andmed
Lüsi, Madis; Erikson, Heiki; Treshchalov, Alexey; Rähn, Mihkel; Merisalu, Maido; Kikas, Arvo; Kisand, Vambola; Sammelselg, Väino; Tammeveski, Kaido, 2022, "Data of oxygen reduction reaction on Pd nanocatalysts prepared by plasma-assisted synthesis on different carbon nanomaterials", https://doi.org/10.23673/RE-314, DATADOI, V1
This dataset contains the data presented in the figures of published paper "Oxygen reduction reaction on Pd nanocatalysts prepared by plasma-assisted synthesis on different carbon nanomaterials" Nanotechnology 32 035401 (https://doi.org/10.1088/1361-6528/abbd6f)
Test 19: MSI capture of Diss.Tart.239007
Feb 10, 2022 - Multispektraalfotograafia (MSI) materjalikatsetused
Vesi, Aare, 2022, "Test 19: MSI capture of Diss.Tart.239007", https://doi.org/10.23673/RE-312, DATADOI, V1
MSI capture of thesis by Bernhard Jürgens ; Tartu Ülikool, bakterioloogia kabinet; 1926; Diss.Tart.239007, page 69.
Test 18: MSI capture of Missale – TÜR, F. 7, s. 33
Feb 10, 2022 - Multispektraalfotograafia (MSI) materjalikatsetused
Vesi, Aare, 2022, "Test 18: MSI capture of Missale – TÜR, F. 7, s. 33", https://doi.org/10.23673/RE-311, DATADOI, V1
MSI capture of Missale – TÜR, F. 7, s. 33, fragment. (f. 1) Sabb. sancto; (f. 2) Fer. IV–V infra Oct. Paschae. Matricula seu catalogus illorum, qui in Academia Dorpatensi cornua deposuerunt, 1632-1665.
A conundrum of r-protein stability: unbalanced stoichiometry of r-proteins during stationary phase in Escherichia coli - Supplementary materials
Feb 1, 2022 - Molekulaar- ja rakubioloogia andmed
Reier, Kaspar; Lahtvee, Petri-Jaan; Liiv, Aivar; Remme, Jaanus, 2022, "A conundrum of r-protein stability: unbalanced stoichiometry of r-proteins during stationary phase in Escherichia coli - Supplementary materials", https://doi.org/10.23673/RE-310, DATADOI, V1
Here we show that a specific set of r-proteins are rapidly degraded after release from the rRNA. The degradation of r-proteins is an intriguing new aspect of r-protein metabolism in bacteria. The dataset represents collection of supplementary materials used in the manuscript "A conundrum of r-protein stability: unbalanced stoichiometry of r-protein...
Eyebrow angle and gaze direction as modulators of the emotional value of schematic faces: a visual mismatch response (vMMR) study (data)
Jan 28, 2022 - Psühholoogia andmed
Kask, Annika; Põldver, Nele; Kreegipuu, Kairi, 2022, "Eyebrow angle and gaze direction as modulators of the emotional value of schematic faces: a visual mismatch response (vMMR) study (data)", https://doi.org/10.23673/RE-308, DATADOI, V1
The aim of the present study was to examine if systematic manipulating with eyebrows and gaze directions expected to change the emotional value of schematic faces has an influence on the subjective and automatic discrimination of schematic faces and if this discrimination is influenced by the subjects’ emotional state. Participants (33 volunteers,...
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...
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...
UT-GPCR002 Machine learning models for CHO-K1 cell segmentation from fluorescence and bright-field microscopy images
Jan 16, 2022 - Keemia instituudi andmed
Tahk, Maris-Johanna; Torp, Jane; Ali, Mohammed A.S.; Fishman, Dmytro; Parts, Leopold; Grätz, Lukas; Müller, Christoph; Keller, Max; Veiksina, Santa; Laasfeld, Tõnis; Rinken, Ago, 2022, "UT-GPCR002 Machine learning models for CHO-K1 cell segmentation from fluorescence and bright-field microscopy images", https://doi.org/10.23673/RE-304, DATADOI, V1
The "UT-GPCR002 Machine learning models for CHO-K1 cell segmentation from fluorescence and bright-field microscopy images" dataset contains the machine learning model files for CHO-K1 cell segmentation from fluorescence and bright-field microscopy images. Random forest-based models are implemented as Ilastik projects while deep-learning models are...
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