Sarno, Caitlyn T; Benitez-Nelson, Claudia R; Ziolkowski, Lori A; Hendy, Ingrid L; Davis, Catherine V; Tappa, Eric; Thunell, Robert C (2020): Organic Carbon and Nitrogen Data for Floods, Turbidites, and Droughts over the past 2000 years in the Santa Barbara Basin, CA [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.918008, In: Sarno, CT et al. (2020): Geochemical Data for Floods, Turbidites, and Droughts over the past 2000 years in the Santa Barbara Basin, CA [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.917989
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Related to:
Sarno, Caitlyn T; Benitez-Nelson, Claudia R; Ziolkowski, Lori A; Hendy, Ingrid L; Davis, Catherine V; Tappa, Eric; Thunell, Robert C (2020): The Impacts of Flood, Drought, and Turbidites on Organic Carbon Burial Over the Past 2,000 years in the Santa Barbara Basin, California. Paleoceanography and Paleoclimatology, 35(7), https://doi.org/10.1029/2020PA003849
Coverage:
Latitude: 34.283167 * Longitude: -120.040167
Minimum DEPTH, sediment/rock: 0.014 m * Maximum DEPTH, sediment/rock: 1.270 m
Event(s):
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Type | Type | Sarno, Caitlyn T | X-ray fluorescence after Hendy et al. (2015) | Event type | |
| 2 | Age | Age | a AD/CE | Sarno, Caitlyn T | ||
| 3 | AGE | Age | ka BP | Sarno, Caitlyn T | Geocode | |
| 4 | Core | Core | Sarno, Caitlyn T | |||
| 5 | Section | Sect | Sarno, Caitlyn T | |||
| 6 | DEPTH, sediment/rock | Depth sed | m | Sarno, Caitlyn T | Geocode | |
| 7 | Carbon, organic, total | TOC | % | Sarno, Caitlyn T | ||
| 8 | Nitrogen, organic | N org | % | Sarno, Caitlyn T | ||
| 9 | Carbon/Nitrogen ratio | C/N | mol/mol | Sarno, Caitlyn T | ||
| 10 | Carbon, organic, total | TOC | % | Sarno, Caitlyn T | Average per Event | |
| 11 | Nitrogen, organic | N org | % | Sarno, Caitlyn T | per Event | |
| 12 | Carbon/Nitrogen ratio | C/N | mol/mol | Sarno, Caitlyn T | per Event |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
1500 data points