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Scientists from the Centre for Climate Research (Institute of Physics University of Tartu) have discovered anthropogenic glaciation events of supercooled liquid water clouds downwind of industrial air pollution sources. This collection serves as a metadata record for glaciation events and makes available the data and software necessary to replicate... |
May 21, 2025 - Füüsika andmed
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. |
Gzip Archive - 10.8 MB -
MD5: 0190ef06b020998a3e33409be87f1335
Compressed archive containing structures and descriptions |
Plain Text - 294 B -
MD5: d1685c37b596920dc9462f133eade98c
For citations |
Plain Text - 18.2 KB -
MD5: 9a788123ae6c2a2d9b2b4cf673e950e7
License of the dataset |
HTML - 10.3 KB -
MD5: f17daa89611aaa7b2ce905b88dcdad9c
2026. aasta migratsiooni käigus varasemast DataDOI süsteemist üle kantud kasutusstatistika kajastab tegevust eelmises DSpace-põhises süsteemis ega näita Dataverse’i uusi kasutusandmeid.
Usage statistics carried over from the previous DataDOI system as part of the 2026 migration reflect activity in the former DSpace-based system and do not represent... |
Plain Text - 2.3 KB -
MD5: 78b952fb90c1ffaf42d16cbb3d28b0c1
README-file |
Oct 31, 2024 - Anthropogenic glaciation of supercooled liquid water clouds
Keernik, Hannes; Toll, Velle, 2024, "Python code for processing MODIS satellite data to study anthropogenic glaciation of supercooled liquid-water clouds", https://doi.org/10.23673/RE-488, DATADOI, V1
The given python code is used to analyse anthropogenic glaciation of supercooled liquid-water clouds downwind of strong industrial point sources of air pollution using Terra MODIS satellite data. |
Oct 31, 2024 -
Python code for processing MODIS satellite data to study anthropogenic glaciation of supercooled liquid-water clouds
ZIP Archive - 554.1 MB -
MD5: b1c516d8ac595bcbfeabbdeb1d4a669c
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