SOCRATES and CAPRICORN-2 Single Particle INP Composition via STEM/EDS
To Access Resource:
Questions? Email Resource Support Contact:
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EOL Data Support
datahelp@eol.ucar.edu
UCAR/NCAR - Earth Observing Laboratory
Temporal Range
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Begin: 2018-01-23T00:00:00Z End: 2018-02-18T23:59:59Z
Resource Type | dataset |
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Temporal Range Begin | 2018-01-23T00:00:00Z |
Temporal Range End | 2018-02-18T23:59:59Z |
Temporal Resolution | N/A |
Bounding Box North Lat | -42.50000 |
Bounding Box South Lat | -62.10000 |
Bounding Box West Long | 133.80000 |
Bounding Box East Long | 163.10000 |
Spatial Representation | N/A |
Spatial Resolution | N/A |
Related Links |
Documentation #1 : Readme_TEMINP.pdf |
Additional Information | N/A |
Resource Format |
CSV: Comma Separated Value (text/csv) |
Standardized Resource Format |
ASCII |
Asset Size |
1 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 | UCAR/NCAR - Earth Observing Laboratory |
Distributor |
UCAR/NCAR - Earth Observing Laboratory |
Metadata Contact Name | EOL Data Support |
Metadata Contact Email | datahelp@eol.ucar.edu |
Metadata Contact Organization | UCAR/NCAR - Earth Observing Laboratory |
Author |
Paul J. DeMott |
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Publisher |
UCAR/NCAR - Earth Observing Laboratory |
Publication Date | 2021-01-27T16:55:19 |
Digital Object Identifier (DOI) | https://doi.org/10.26023/THHB-X79P-A006 |
Alternate Identifier |
552.133 |
Resource Version | 1.0 |
Topic Category |
climatologyMeteorologyAtmosphere |
Progress | completed |
Metadata Date | 2024-05-13T22:30:51Z |
Metadata Record Identifier | edu.ucar.eol::552.133 |
Metadata Language | eng; USA |
Suggested Citation | Paul J. DeMott. (2021). SOCRATES and CAPRICORN-2 Single Particle INP Composition via STEM/EDS. 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.26023/THHB-X79P-A006. Accessed 07 September 2024. |
Harvest Source
- ISO-19139 ISO-19139 Metadata