Low Frequency Autonomous Magnetic Field Sensors (LFAMS) Level 2 Data
To Access Resource:
Questions? Email Resource Support Contact:
-
EOL Data Support
datahelp@eol.ucar.edu
Temporal Range
-
Begin: 2018-11-03T00:00:00Z End: 2018-12-06T23:59:59Z
| Resource Type | dataset |
|---|---|
| Temporal Range Begin | 2018-11-03T00:00:00Z |
| Temporal Range End | 2018-12-06T23:59:59Z |
| Temporal Resolution | N/A |
| Bounding Box North Lat | -31.00000 |
| Bounding Box South Lat | -33.00000 |
| Bounding Box West Long | -65.00000 |
| Bounding Box East Long | -63.00000 |
| Spatial Representation |
grid |
| Spatial Resolution | N/A |
| Related Links |
Documentation #1 : README_CU_LFAMS_v2_RELAMPAGO.pdf |
| Additional Information | N/A |
| Resource Format |
CSV: Comma Separated Value (text/csv) |
| Standardized Resource Format |
ASCII |
| Asset Size |
1032 MB |
| Legal Constraints |
none |
| Access Constraints |
none |
| Software Implementation Language | N/A |
| Resource Support Name | EOL Data Support |
|---|---|
| Resource Support Email | datahelp@eol.ucar.edu |
| Resource Support Organization | N/A |
| Distributor | N/A |
| Metadata Contact Name | EOL Data Support |
| Metadata Contact Email | datahelp@eol.ucar.edu |
| Metadata Contact Organization | N/A |
| Author |
Wiebke Deierling Robert Marshall André Antunes de Sá Austin Sousa |
|---|---|
| Publisher | N/A |
| Publication Date | 2022-01-12T20:20:49 |
| Digital Object Identifier (DOI) | https://doi.org/10.26023/3Z4Y-BY1N-ZM0W |
| Alternate Identifier |
553.157 |
| Resource Version | 1.1 |
| Topic Category |
climatologyMeteorologyAtmosphere |
| Progress | completed |
| Metadata Date | 2025-10-07T21:45:35Z |
| Metadata Record Identifier | edu.ucar.eol::553.157 |
| Metadata Language | eng; USA |
| Suggested Citation | Wiebke Deierling, Robert Marshall, André Antunes de Sá, Austin Sousa. (2022). Low Frequency Autonomous Magnetic Field Sensors (LFAMS) Level 2 Data. 1.1. https://doi.org/10.26023/3Z4Y-BY1N-ZM0W. Accessed 23 October 2025. |
Harvest Source
- ISO-19139 ISO-19139 Metadata