The DOI matches its Crossref record; 103 of the 103 references it cites were found in a registry or an index.
The Neotoma Paleoecology Database, a multiproxy, international, community-curated data resource
Open accessAbstract
The Neotoma Paleoecology Database is a community-curated data resource that supports interdisciplinary global change research by enabling broad-scale studies of taxon and community diversity, distributions, and dynamics during the large environmental changes of the past. By consolidating many kinds of data into a common repository, Neotoma lowers costs of paleodata management, makes paleoecological data openly available, and offers a high-quality, curated resource. Neotoma’s distributed scientific governance model is flexible and scalable, with many open pathways for participation by new members, data contributors, stewards, and research communities. The Neotoma data model supports, or can be extended to support, any kind of paleoecological or paleoenvironmental data from sedimentary archives. Data additions to Neotoma are growing and now include >3.8 million observations, >17,000 datasets, and >9200 sites. Dataset types currently include fossil pollen, vertebrates, diatoms, ostracodes, macroinvertebrates, plant macrofossils, insects, testate amoebae, geochronological data, and the recently added organic biomarkers, stable isotopes, and specimen-level data. Multiple avenues exist to obtain Neotoma data, including the Explorer map-based interface, an application programming interface, the neotoma R package, and digital object identifiers. As the volume and variety of scientific data grow, community-curated data resources such as Neotoma have become foundational infrastructure for big data science.
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Citations
Cites
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Self-citationA Reconstruction of Regional and Global Temperature for the Past 11,300 Years
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Cited by
Pollen-based climate reconstruction techniques for late Quaternary studies
Chevalier, M., Davis, B. A. S., Heiri, O., Seppä, H., Chase, B. M., Gajewski, K., Lacourse, T., Telford, R. J., Finsinger, W., Guiot, J., et al. (2020) · Earth-Science Reviews · doi:10.1016/j.earscirev.2020.103384 · Cited by 369
Self-citationSituating Ecology as a Big-Data Science: Current Advances, Challenges, and Solutions
Farley, S. S., Dawson, A., Goring, S. J., & Williams, J. W. (2018) · BioScience · doi:10.1093/biosci/biy068 · Cited by 331
Self-citationRapid expansion of northern peatlands and doubled estimate of carbon storage
Nichols, J. E., & Peteet, D. M. (2019) · Nature Geoscience · doi:10.1038/s41561-019-0454-z · Cited by 258
Self-citationThe r package divDyn for quantifying diversity dynamics using fossil sampling data
(2019) · doi:10.1111/2041-210x.13161 · Cited by 180
The resilience of Amazon tree cover to past and present drying
Kukla, T., Ahlström, A., Maezumi, S. Y., Chevalier, M., Lu, Z., Winnick, M. J., & Chamberlain, C. P. (2021) · Global and Planetary Change · doi:10.1016/j.gloplacha.2021.103520 · Cited by 34
Metadata
- Authors
- Williams, J. W., Grimm, E. C., Blois, J. L., Charles, D. F., Davis, E. B., Goring, S. J., Graham, R. W., Smith, A. J., Anderson, M., Arroyo-Cabrales, J., Ashworth, A. C., Betancourt, J. L., Bills, B. W., Booth, R. K., Buckland, P. I., Curry, B. B., Giesecke, T., Jackson, S. T., Latorre, C., Nichols, J., Purdum, T., Roth, R. E., Stryker, M., & Takahara, H.
- Venue
- Quaternary Research
- Publisher
- Cambridge University Press (CUP)
- Published
- 2018-01
- Volume
- 89
- Issue
- 1
- Pages
- 156-177
- ISSN
- 0033-5894 (ISSN-L)
- 1096-0287
- OpenAlex
- W2785210185
- Cited by
- 431
- References
- 103
- FWCI
- 47.00
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Williams, J. W., Grimm, E. C., Blois, J. L., Charles, D. F., Davis, E. B., Goring, S. J., Graham, R. W., Smith, A. J., Anderson, M., Arroyo-Cabrales, J., Ashworth, A. C., Betancourt, J. L., Bills, B. W., Booth, R. K., Buckland, P. I., Curry, B. B., Giesecke, T., Jackson, S. T., Latorre, C., . . . Takahara, H. (2018). The Neotoma Paleoecology Database, a multiproxy, international, community-curated data resource. Quaternary Research. https://doi.org/10.1017/qua.2017.105
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
