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AI_5306_Jõelähtme_animal_remains_by_grave.xlsx
Nov 4, 2024 - Dataset of zooarchaeological records from Jõelähtme stone-­cist cemetery
MS Excel Spreadsheet - 86.3 KB - MD5: a3cc186c45a352424f6edb52662a6471
Animal remains by grave
AI_5306_Jõelähtme_animal_remains.xlsx
Nov 4, 2024 - Dataset of zooarchaeological records from Jõelähtme stone-­cist cemetery
MS Excel Spreadsheet - 242.4 KB - MD5: 379e1e16aa6c36fd505de459ba5a96ec
Animal remains
AI_5306_Jõelähtme_summary.xlsx
Nov 4, 2024 - Dataset of zooarchaeological records from Jõelähtme stone-­cist cemetery
MS Excel Spreadsheet - 16.3 KB - MD5: 8c71fde2653103a73ea46b3692007c4e
Summary
migratsioonieelne_statistika.html
Nov 4, 2024 - Dataset of zooarchaeological records from Jõelähtme stone-­cist cemetery
HTML - 10.7 KB - MD5: 29504ad298e687bcb0955ba8a1891994
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...
README.txt
Nov 4, 2024 - Dataset of zooarchaeological records from Jõelähtme stone-­cist cemetery
Plain Text - 6.8 KB - MD5: 97c43a5682d0eae31d8cce45fec86777
Readme-file
Python code for processing MODIS satellite data to study anthropogenic glaciation of supercooled liquid-water clouds
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.
input.zip
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
migratsioonieelne_statistika.html
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...
output.zip
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
requirements.txt
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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