https://datadoi.ee/handle/33/400 2026-04-21T10:37:37Z https://datadoi.ee/handle/33/680 Short-range order structures of Ni-based FCC ternary and quaternary alloys Tamm, Artur This dataset contains structures (VASP format) of Ni-based ternary (NiCrCo) and quaternary (NiCrCoFe) equimolar alloys obtained from MC-DFT simulations. The initial structures with random ordering are included as well. 2025-01-01T00:00:00Z Tamm, Artur https://datadoi.ee/handle/33/612 Graphene-mediated blister-based laser-induced forward transfer of thin and ultra-thin ZrO2 Baloglu, Ahmet Burak; Kodu, Margus; Kozlova, Jekaterina; Kahro, Tauno; Jaaniso, Raivo Blister-based laser-induced forward transfer (BB-LIFT) is a promising high precision and resolution printing technique for the fast, solvent- and mask-free transfer of functional layered materials onto micro-devices. It utilizes a protective metal (blister) layer sandwiched between the laser-transparent substrate and the material to be transferred. The metal layer absorbs the incident laser pulse, creating a rapidly expanding blister that propels the overlying material onto a target substrate. We show that BB-LIFT of thin and ultrathin (30 and 3 nm) ZrO2 films is realized only with a “graphene release layer” applied between the Al blister layer and the ZrO2 donor layer. Without such intercalation, ZrO2 is inseparable from the blister layer due to the strong oxide bonding with aluminum oxides formed during the preparation. This dataset includes raw high-resolution scanning electron microscopy (HR-SEM) images, optical microscopy images, Raman spectroscopy data, and energy-dispersive X-ray spectroscopy (EDX) data of donor and receiver substrates used in the BB-LIFT of thin and ultra-thin ZrO2. The dataset includes data from both the manuscript and the supplementary materials of the original paper, which shares the same title as this dataset. 2024-06-01T00:00:00Z Baloglu, Ahmet Burak Kodu, Margus Kozlova, Jekaterina Kahro, Tauno Jaaniso, Raivo https://datadoi.ee/handle/33/509 Lifetime of anthropogenic aerosol perturbations on clouds seen from geostationary SEVIRI satellite data Rahu, Jorma; Toll, Velle The impacts of anthropogenic aerosols on clouds are the most uncertain drivers of anthropogenic climate forcing. Ship-track-like strong anthropogenic cloud perturbations can help reduce these uncertainties. Using geostationary SEVIRI satellite data, we show that strong cloud perturbations downwind of isolated continental anthropogenic aerosol sources can live for multiple days. This item includes the full data-set collected and analysed in the research. 2023-01-01T00:00:00Z Rahu, Jorma Toll, Velle https://datadoi.ee/handle/33/424 Pollution track days Trofimov, Heido; Toll, Velle Dates of polluted cloud tracks identified in MODIS satellite data. 2021-01-01T00:00:00Z Trofimov, Heido Toll, Velle