55,571 to 55,580 of 72,668 Results
Dec 1, 2020 -
The Neuroscience of Love
MPEG-4 Video - 31.6 MB -
MD5: d176a7434d62f6de07249fd3b9e55c68
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Dec 1, 2020 -
The Neuroscience of Love
MPEG-4 Video - 53.9 MB -
MD5: 439a438d526f90d65bbafeca22f5f251
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Dec 1, 2020 -
The Neuroscience of Love
MPEG-4 Video - 63.7 MB -
MD5: b4a2cbca497d3f08b540d8a39cda08ff
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Dec 1, 2020 -
The Neuroscience of Love
MPEG-4 Video - 47.5 MB -
MD5: b1546df3b3bad1b2b32a47d2813bb819
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Nov 26, 2020 - Manta Fabio
Manta, Fabio; Occhipinti, Giovanni; Hill, Emma; Perttu, Anna; Assink, Jelle; Taisne, Benoit, 2020, "Correlation between GNSS-TEC and eruption magnitude supports the use of ionospheric sensing to complement volcanic hazard assessment", https://doi.org/10.21979/N9/GIP5TJ, DR-NTU (Data), V1
This dataset contains all the outputs obtained during the GNSS data processing aiming to explore the relationship between the power of volcanic explosion and ionospheric TEC perturbation. This dataset also contain the codes used to process the data |
Nov 26, 2020 -
Correlation between GNSS-TEC and eruption magnitude supports the use of ionospheric sensing to complement volcanic hazard assessment
MATLAB Source Code - 948 B -
MD5: 29855063f663be3c5cd0ca79ef16c712
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Nov 26, 2020 -
Correlation between GNSS-TEC and eruption magnitude supports the use of ionospheric sensing to complement volcanic hazard assessment
MATLAB Source Code - 470 B -
MD5: 426775c6da1c686312bf6eee32d5a8da
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Nov 26, 2020 -
Correlation between GNSS-TEC and eruption magnitude supports the use of ionospheric sensing to complement volcanic hazard assessment
MATLAB Source Code - 1.8 KB -
MD5: 00d354953a679988a617a16dc690afd8
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Nov 26, 2020 -
Correlation between GNSS-TEC and eruption magnitude supports the use of ionospheric sensing to complement volcanic hazard assessment
MATLAB Data - 622.8 KB -
MD5: 651a777230868fe5aabe15fe8c862d43
output_20030713_week |
Nov 26, 2020 -
Correlation between GNSS-TEC and eruption magnitude supports the use of ionospheric sensing to complement volcanic hazard assessment
MATLAB Data - 609.1 KB -
MD5: ae1b89894fb4d50061601a8f3789a4b8
output_20030713_week |
