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91.-95. nimetus 143-st
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Data of Iron-Containing Nitrogen-Doped Carbon Nanomaterials Prepared via NaCl Template as Efficient Electrocatalysts for the Oxygen Reduction Reaction
(Institute of Chemistry, University of Tartu, Ravila 14a, 50411 Tartu, Estonia, 2022)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", ... -
Data of oxygen reduction reaction on Pd nanocatalysts prepared by plasma-assisted synthesis on different carbon nanomaterials
(Institute of Chemistry, University of Tartu, Ravila 14a, 50411 Tartu, Estonia, 2022)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 ... -
A conundrum of r-protein stability: unbalanced stoichiometry of r-proteins during stationary phase in Escherichia coli - Supplementary materials
(University of Tartu, 2022)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 ... -
ArtSeg-CHO-M4R: artifact segmentation in microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells.
(University of Tartu, Institute of Computer Sciences, 2022-01-24)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 ... -
UT-GPCR001 microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells
(University of Tartu, Institute of Chemistry, Chair of Bioorganic chemistry, 2022)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 ...