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41 to 50 of 52 Results
Dec 15, 2022
Sokka, Andri; Mooste, Marek; Marandi, Margus; Käärik, Maike; Kozlova, Jekaterina; Kikas, Arvo; Kisand, Vambola; Treshchalov, Alexey; Tamm, Aile; Leis, Jaan; Holdcroft, Steven; Tammeveski, Kaido, 2022, "Data of polypyrrole and polythiophene modified carbon nanotube-based cathode catalysts for anion exchange membrane fuel cell", https://doi.org/10.23673/RE-366, DATADOI, V1
This dataset contains the data presented in the figures of pulbished paper "Polypyrrole and polythiophene modified carbon nanotube-based cathode catalysts for anion exchange membrane fuel cell" ChemElectroChem 9 e202200161 (https://doi.org/10.1002/celc.202200161) The electrochemical characterisation data, which was measured in University of Tartu I...
Dec 15, 2022
Bezerra, Leticia S.; Mooste, Marek; Fortunato, Guilherme V.; Cardoso, Eduardo S. F.; Lanza, Marcos R. V.; Tammeveski, Kaido; Maia, Gilberto, 2022, "Data of tuning NiCo2O4 bifunctionality with nitrogen-doped graphene nanoribbons in oxygen electrocatalysis for zinc-air battery application", https://doi.org/10.23673/RE-367, DATADOI, V1
This dataset contains the data presented in the figures of pulbished paper "Tuning NiCo2O4 bifunctionality with nitrogen-doped graphene nanoribbons in oxygen electrocatalysis for zinc-air battery application" Journal of Electroanalytical Chemistry 928 117000 (https://doi.org/10.1016/j.jelechem.2022.117000) The electrochemical characterisation data,...
Apr 20, 2022
Palm, Rasmus; Kurig, Heisi; Koppel, Miriam; Oll, Ove; Grzimek, Veronika; Lust, Enn; Russina, Margarita, 2022, "The diffusion of H2 adsorbed in three porous carbons investigated with in situ quasi-elastic neutron scattering method", https://doi.org/10.23673/RE-324, DATADOI, V1
This dataset contains data collected during quasi-elastic neutron scattering experiments on the diffusion of H2 adsorbed in three different carbide-derived carbon materials at temperatures 50-100 K and at three different H2 loading pressures. The data were collected in Helmholtz-Zentrum Berlin in Germany in March 2017 (one sample - C900) and in Dec...
Apr 20, 2022
Kumar, Yogesh; Kibena-Põldsepp, Elo; Kozlova, Jekaterina; Kikas, Arvo; Käärik, Maike; Aruväli, Jaan; Kisand, Vambola; Leis, Jaan; Tamm, Aile; Tammeveski, Kaido, 2022, "Data of bimetal phthalocyanine-modified carbon nanotube-based bifunctional catalysts for zinc-air batteries", https://doi.org/10.23673/RE-325, DATADOI, V1
This dataset contains the data presented in the figures of the published paper "Bimetal Phthalocyanine-Modified Carbon Nanotube-Based Bifunctional Catalysts for Zinc-Air Batteries" ChemElectroChem 2021, 8, 2662–2670 (https://doi.org/10.1002/celc.202100498)
Apr 20, 2022
Kumar, Yogesh; Kibena-Põldsepp, Elo; Kozlova, Jekaterina; Rähn, Mihkel; Treshchalov, Alexey; Kikas, Arvo; Kisand, Vambola; Aruväli, Jaan; Tamm, Aile; Douglin, John C.; Folkman, Scott J.; Gelmetti, Ilario; Garcés-Pineda, Felipe A.; Galán-Mascarós, José Ramón; Dekel, Dario R.; Tammeveski, Kaido, 2022, "Data of bifunctional oxygen electrocatalysis on mixed metal phthalocyanine-modified carbon nanotubes prepared via pyrolysis", https://doi.org/10.23673/RE-326, DATADOI, V1
This dataset contains the data presented in the figures of the published paper "Bifunctional Oxygen Electrocatalysis on Mixed Metal Phthalocyanine-Modified Carbon Nanotubes Prepared via Pyrolysis" ACS Appl. Mater. Interfaces 2021, 13, 35, 41507–41516 (https://doi.org/10.1021/acsami.1c06737)
Apr 13, 2022
Lüsi, Madis; Erikson, Heiki; Tammeveski, Kaido; Treshchalov, Alexey; Kikas, Arvo; Piirsoo, Helle-Mai; Kisand, Vambola; Tamm, Aile; Aruväli, Jaan; Solla-Gullón, Jose; Feliu, Juan M., 2022, "Data of oxygen reduction reaction on Pd nanoparticles supported on novel mesoporous carbon materials", https://doi.org/10.23673/RE-323, DATADOI, V1
This dataset contains the data presented in the figures of published paper "Oxygen reduction reaction on Pd nanoparticles supported on novel mesoporous carbon materials" Electrochimica Acta 394 139132 https://doi.org/10.1016/j.electacta.2021.139132
Feb 20, 2022
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)
Feb 16, 2022
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)
Jan 19, 2022
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...
Jan 16, 2022
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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