1 to 10 of 137 Results
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 -
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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Oct 31, 2024 -
Python code for processing MODIS satellite data to study anthropogenic glaciation of supercooled liquid-water clouds
HTML - 907 B -
MD5: c07b6daef3dbee864bf87e6aa836cde2
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... |
Oct 31, 2024 -
Python code for processing MODIS satellite data to study anthropogenic glaciation of supercooled liquid-water clouds
ZIP Archive - 4.1 KB -
MD5: 3e6d8cb7d1a7b6238ecbfa1a2ef97c08
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Oct 31, 2024 -
Python code for processing MODIS satellite data to study anthropogenic glaciation of supercooled liquid-water clouds
Plain Text - 337 B -
MD5: 003feba5ed1828c989d0154625855fa7
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Oct 31, 2024 -
Python code for processing MODIS satellite data to study anthropogenic glaciation of supercooled liquid-water clouds
ZIP Archive - 8.7 KB -
MD5: e11737f80c0b78706d54a92cdcb855d8
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