Ben-Israel, Michal; Armon, Moshe; ASTER Team; Matmon, Ari (2024): MATLAB codes of sediment residence time models from samples of the lower section of the Colorado River [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.945780
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Published: 2024-12-14 • DOI registered: 2025-01-11
Supplement to:
Ben-Israel, Michal; Armon, Moshe; ASTER Team; Matmon, Ari (2022): Sediment Residence Times in Large Rivers Quantified Using a Cosmogenic Nuclides Based Transport Model and Implications for Buffering of Continental Erosion Signals. Journal of Geophysical Research: Earth Surface, 127(5), e2021JF006417, https://doi.org/10.1029/2021JF006417
Related to:
Ben-Israel, Michal; Armon, Moshe; ASTER Team; Matmon, Ari (2024): Terrestrial cosmogenic nuclides 10Be and 26Al from the lower section of the Colorado River [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.945778
Funding:
Coverage:
Median Latitude: 34.427167 * Median Longitude: -114.521267 * South-bound Latitude: 32.731200 * West-bound Longitude: -114.660800 * North-bound Latitude: 35.872900 * East-bound Longitude: -114.134000
Minimum Elevation: 40.0 m * Maximum Elevation: 200.0 m
Event(s):
Comment:
This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | File content | Content | Ben-Israel, Michal | |||
| 2 | Binary Object (MD5 Hash) | Binary (Hash) | Ben-Israel, Michal | |||
| 3 | Binary Object (Media Type) | Binary (Type) | Ben-Israel, Michal | |||
| 4 | Binary Object (File Size) | Binary (Size) | Bytes | Ben-Israel, Michal | ||
| 5 | Binary Object | Binary | Ben-Israel, Michal |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
6 data points