1 to 10 of 15 Results
May 21, 2025
Tamm, Artur, 2025, "Short-range order structures of Ni-based FCC ternary and quaternary alloys", https://doi.org/10.23673/RE-518, DATADOI, V1
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. |
Baloglu, Ahmet Burak; Kodu, Margus; Kozlova, Jekaterina; Kahro, Tauno; Jaaniso, Raivo, 2024, "Graphene-mediated blister-based laser-induced forward transfer of thin and ultra-thin ZrO2", https://doi.org/10.23673/RE-468, DATADOI, V1
The dataset includes data from both the manuscript and the supplementary materials of the original paper, which shares the same title as this dataset. 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 on... |
Feb 1, 2023
Rahu, Jorma; Toll, Velle, 2023, "Lifetime of anthropogenic aerosol perturbations on clouds seen from geostationary SEVIRI satellite data", https://doi.org/10.23673/RE-380, DATADOI, V1
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 sourc... |
Dec 5, 2021
Trofimov, Heido; Toll, Velle, 2021, "Pollution track days", https://doi.org/10.23673/RE-299, DATADOI, V1
Dates of polluted cloud tracks identified in MODIS satellite data. |
May 17, 2021
Rahu, Jorma; Toll, Velle, 2021, "Anthropogenic aerosol impacts on clouds from SEVIRI satellite data", https://doi.org/10.23673/RE-283, DATADOI, V1
Anthropogenic aerosols offset an unknown fraction of greenhouse gas warming. We use geostationary satellite data to analyse continental polluted cloud tracks originating from isolated heavy industrial pollution sources in the European part of Russia. We study the temporal evolution of the cloud water response to aerosols. This item includes the dat... |
May 15, 2020
Trofimov, Heido; Toll, Velle, 2020, "Large-scale polluted cloud tracks", https://doi.org/10.15155/RE-140, DATADOI, V1
Polluted cloud tracks identified in MODIS satellite data. |
Jan 9, 2018
Kulmala, Markku; Tammet, Hannes, 2018, "Hyytiala08_10aerosol", https://doi.org/10.15155/REPO-3, DATADOI, V1
The dataset Hyytiala08_10aerosol contains results of routine measurements of atmospheric aerosols carried on in a well equipped boreal research station during 3 years. The particle size range from 3 nm to 15μm is split into 60 fractions and the records of distribution function are presented for 21682 hours of measurements. The dataset provides scie... |
Feb 28, 2017
Hõrrak, Urmas; Iher, Hilja; Komsaare, Kaupo; Tamm, Eduard; Tammet, Hannes, 2017, "Dataset of air ion and aerosol measurements. Tahkuse 2004-2014", https://doi.org/10.15155/REPO-14, DATADOI, V1
The present dataset of air ion mobility and aerosol particle size distributions is a follow-up of the dataset Tahkuse_1993_1994, http://datadoi.ut.ee/handle/33/22. It makes available results of routine measurements in Tahkuse Air Monitoring Station from 01.01.2004 to 31.12.2014. The station is located in the Sepa farmhouse in Tahkuse village about... |
Feb 28, 2017
Tammet, Hannes, 2017, "ATMEL2007", https://doi.org/10.15155/REPO-1, DATADOI, V1
The joint dataset ATMEL2007A (Tammet, 2009) provides scientists with a tool for studying the correlations and trends in fair-weather atmospheric electricity, air pollution effects, and trends in global climate on a broader basis. It includes hourly averages of digitally available data from 12 stations including 7 stations of the former World Data C... |
Feb 28, 2017
Tammet, Hannes, 2017, "Nanoion 2010-11", https://doi.org/10.15155/REPO-2, DATADOI, V1
The dataset provides measurements of the mobility and size distributions of charged molecular clusters and finest aerosol particles naturally found in atmospheric air. The genesis and subsequent evolution of nanoparticles is a key to understanding the formation of atmospheric aerosols, which is an essential factor of the Earth's climate. The partic... |
