Pollen data from seven lakes in the Klamath Mountains, California: a case study for paleoecological reconstruction
The dataset include raw pollen counts, age model data, and pollen accumulation rates with uncertainty estimates for seven lake sites in the Klamath Mountains, California, USA. The raw pollen counts reflect the relative abundance of major taxa from the vegetation surrounding each lake site (n=7) at 5 different time periods. The age model data provides a Bayesian-based estimate of the sediment's age and the associated uncertainty where pollen samples were also collected and counted (~1850, 1880, 1930, 1970, 2018 AD). Lastly, the pollen accumulation rates dataset encompasses the pollen accumulation rates for each taxa at each time step across all lakes plus the cumulative uncertainty with each calculation, as estimated by a Monte Carlo approach. In sum, these underlying data allow for reproduction of key values (e.g. pollen accumulation rates) and provide a complete dataset for future research questions.
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"010:12"
]
|
| contactPoint |
{
"fn": "Clarke Knight",
"@type": "vcard:Contact",
"hasEmail": "mailto:cknight@usgs.gov"
}
|
| description | The dataset include raw pollen counts, age model data, and pollen accumulation rates with uncertainty estimates for seven lake sites in the Klamath Mountains, California, USA. The raw pollen counts reflect the relative abundance of major taxa from the vegetation surrounding each lake site (n=7) at 5 different time periods. The age model data provides a Bayesian-based estimate of the sediment's age and the associated uncertainty where pollen samples were also collected and counted (~1850, 1880, 1930, 1970, 2018 AD). Lastly, the pollen accumulation rates dataset encompasses the pollen accumulation rates for each taxa at each time step across all lakes plus the cumulative uncertainty with each calculation, as estimated by a Monte Carlo approach. In sum, these underlying data allow for reproduction of key values (e.g. pollen accumulation rates) and provide a complete dataset for future research questions. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Digital Data",
"format": "XML",
"accessURL": "https://doi.org/10.5066/P9HX7X5B",
"mediaType": "application/http",
"description": "Landing page for access to the data"
},
{
"@type": "dcat:Distribution",
"title": "Original Metadata",
"format": "XML",
"mediaType": "text/xml",
"description": "The metadata original format",
"downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.62962019d34ec53d276ba8e4.xml"
}
]
|
| identifier | http://datainventory.doi.gov/id/dataset/USGS_62962019d34ec53d276ba8e4 |
| keyword |
[
"USGS:62962019d34ec53d276ba8e4",
"biota",
"pollen"
]
|
| modified | 2022-08-10T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
"@type": "org:Organization"
}
|
| spatial | -123.9800, 40.0100, -123.1200, 41.6500 |
| theme |
[
"geospatial"
]
|
| title | Pollen data from seven lakes in the Klamath Mountains, California: a case study for paleoecological reconstruction |
