Neotoma Paleoecological Database


Dataset Archiving
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Twin pollen surface sample dataset - Neotoma Dataset 2725

Neotoma Dataset 2725

Twin pollen surface sample dataset

Links: View on Neotoma Explorer | Download JSON | Download zipped CSV

Constituent Database: North American Pollen Database

Dataset Type: pollen surface sample

Latitude: 44.567222

Longitude: -88.989444

Age Range: No relevant chronology.

Description: Surrounding vegetation: hemlock, sugar maple, yellow birch.


Affiliated Researchers

Name Affiliation Contribution
Grimm, Eric Christopher University of Minnesota, Department of Earth Sciences, 310 Pillsbury Drive SE, Minneapolis, Minnesota 55455-0231, USA DataCurator
Webb, Thompson III Geological Sciences, Brown University, Providence, RI 02912-1846, UNITED STATES DataCollector
Webb, Thompson III Geological Sciences, Brown University, Providence, RI 02912-1846, UNITED STATES ProjectLeader
Webb, Thompson III Geological Sciences, Brown University, Providence, RI 02912-1846, UNITED STATES Researcher

Publications

publicationid citation
453 Webb, T., III. 1970. The late- and post-glacial sequence of climatic events in Wisconsin and east-central Minnesota: quantitative estimates derived from fossil pollen spectra by multivariate statistical analysis. Dissertation. University of Wisconsin, Madison, Wisconsin, USA.

Data Citation

APA

Webb, Thompson III. 2013. Twin pollen surface sample dataset. In, North American Pollen Database. Neotoma Paleoecological Database. URL: http://apps.neotomadb.org/explorer/?datasetid=2725

BibTeX

@inbook{
  author={Webb, Thompson III},
  year={2013},
  title={Twin pollen surface sample dataset},
  booktitle={North American Pollen Database},
  publisher={Neotoma Paleoecological Database},
  url={http://apps.neotomadb.org/explorer/?datasetid=2725}
}

Other Associated Datasets

Other Datasets at Same Site:

No other datasets at this site.

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Funded by:
National Science Foundation
Directorate for Geosciences
Division of Earth Sciences
EarthCube
Integrative Activities
National Sciences Foundation