2,691 to 2,700 of 13,070 Results
Jun 28, 2021 -
Replication Data for: Eye Behavior during Syntactic Movement Evidence for Processing Approach to Persian Syntax
ZIP Archive - 929.6 KB -
MD5: 09681e60e29be539933fc9de3add114f
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Jun 28, 2021 -
Replication Data for: Eye Behavior during Syntactic Movement Evidence for Processing Approach to Persian Syntax
Adobe PDF - 355.6 KB -
MD5: f9d4b6a66c58b38449d548e8a745209c
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Jun 28, 2021 -
Replication Data for: Eye Behavior during Syntactic Movement Evidence for Processing Approach to Persian Syntax
ZIP Archive - 1.0 MB -
MD5: d36cea928d14f01f03e30c307308c117
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Jun 28, 2021 - University of Bergen
Kolstø, Håkon Midthun, 2021, "Replication Data for: MMS Observations of an Expanding Oxygen Wave in Magnetic Reconnection", https://doi.org/10.18710/0PBOGL, DataverseNO, V1
Particle-in-cell (PIC) simulation for space plasma physics that is used in the article 'MMS Observations of an Expanding Oxygen Wave in Magnetic Reconnection'. Magnetic reconnection is one of the most important energy release and transport processes in plasmas. In the case of the Earth's magnetosphere, magnetic reconnection is the primary mechanism... |
Jun 28, 2021 -
Replication Data for: MMS Observations of an Expanding Oxygen Wave in Magnetic Reconnection
Plain Text - 5.4 KB -
MD5: 3c6d82d7123c90e3533aee33ede1e4dc
File containing an overview of data |
Jun 28, 2021 -
Replication Data for: MMS Observations of an Expanding Oxygen Wave in Magnetic Reconnection
Python Source Code - 9.2 KB -
MD5: 5eb12bba22817a592ef72c3004860877
Python script for reading the data |
Jun 28, 2021 -
Replication Data for: MMS Observations of an Expanding Oxygen Wave in Magnetic Reconnection
Fixed Field Text Data - 1.8 GB -
MD5: 37786676d4a88cf46b796b0af522f24a
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Jun 28, 2021 -
Replication Data for: MMS Observations of an Expanding Oxygen Wave in Magnetic Reconnection
Fixed Field Text Data - 1.8 GB -
MD5: 36d5c6e40b97e456f5ea5ba48cc69e7b
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Jun 28, 2021 -
Replication Data for: MMS Observations of an Expanding Oxygen Wave in Magnetic Reconnection
Fixed Field Text Data - 1.8 GB -
MD5: 519a39dfa05739a1f5324a94ee096a40
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Jun 25, 2021 - UiT The Arctic University of Norway
Opstad, Ida S.; Godtliebsen, Gustav; Sekh, Arif Ahmed, 2021, "Replication Data for: Physics based machine learning for sub-cellular segmentation in living cells", https://doi.org/10.18710/IDCUCI, DataverseNO, V1
Abstract: Segmenting sub-cellular structures in living cells from fluorescence microscopy images is a ground truth (GT) hard problem. The microscope’s 3-dimensional blurring function, finite optical resolution due to light diffraction, finite pixel resolution, and complex morphological manifestations of the structures, all contribute to GT-hardness... |
