Data · dataset · 2024
The inversion results of tweek atmospherics near Duke Forest, during January to April, 2010
Listed in ScienceDB
Description
The inversion ionosphere parameters based on the automatic model for tweek atmospherics (Zhang et al., 2023) recorded by the VLF sensor in Duke Forest during January to April, 2010.Format: (.mat) file for matlabDescription: 182,204 1st-order tweeks in total, each record (row) is a tweek inversion result, columns are arranged as:Occurrence time for each tweek signal (start time, in matlab datenum format, please refer to: (Not recommended; use datetime or duration) Convert date and time to serial date number - MATLAB datenum - MathWorks Deutschland)Reflection height of the tweek signal (Unit: [km])The electron density at the reflection height (Unit: [cm-3])Horizontal propagation distance of the tweek signal (Unit: [km])The source lightning location [latitude, longitude] ([0,0] means the source cannot be traced)Whether the source lightning is traceable (0 for N, 1 for Y)(Note: to trace the source lightning, the NLDN lists are used to compare the lightning stroke time and the start time of the tweek signals) Reference:Zhang, M., Lu, G. P., Huang, H. L., Cheng, Z. W., Chen, Y. Z., Cummer, S. A., Zheng, J. Y., and Lei, J. H. (2023).
Automatic recognition of tweek atmospherics and plasma diagnostics in the lower ionosphere with the machine learning method. Earth Planet. Phys., 7(3), 1–7. doi.org/10.26464/epp2023039
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.16787 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Tropospheric and stratospheric physics 76%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.16787 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:field:370109 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (76%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |