Paleontology/Paleoecology
The following dataset(s) are “paleo-” focused. “Paleo-” is a latin prefix meaning “old” or “ancient,” especially in reference to former geologic time periods. This section will feature datasets from the paleontology and paleoecology branches of science.
Paleontology is the study of the history of life on Earth as based on fossils. Fossils are the remains of plants, animals, fungi, bacteria, and single-celled living things that have been replaced by rock material or impressions of organisms preserved in rock.
Paleoecology is the study of interactions between once-living organisms and their environmental surroundings. Interactions between organisms can take a variety of forms, including competition between similar organisms for resources, predation of one organism by another, and symbiosis between different organisms to enable each organism to survive and reproduce. Read more here.
Using sediment core data to better understand the woolly mammoth extinction

The Data
This dataset is brought to you by Matthew Wooller (he/him), an interdisciplinary scientist who works on applying stable isotope techniques to understand the influence of changing environmental conditions on past and present ecosystems. Isotopes (of C,N,O,H and Sr) feature as the primary analytical tools that Dr. Wooller uses to study a wide range of environmental and ecological questions.
The full paper associated with this dataset is available here.
What We Know
Even though most mainland woolly mammoth (Mammuthus primigenius) populations went extinct on mainland North America around 14,000 years ago, some populations survived on several small Beringian islands for thousands of years later. Specifically, woolly mammoth populations on St. Paul Island were likely alive until about 6,000 years ago. Normally, extinction happens because of environmental change, human impacts, or a combination of both. But, St. Paul Island wasn’t populated by humans until the 1700s, so these researchers were able to study when and why these mammals went extinct specifically from environmental change. The prevailing hypotheses as to why these animals died out were that there was a change in vegetation or an increase in snowpack; these authors used sediment core proxy methods and radio carbon dating of 14 newly discovered mammoth remains to better understand what happened.
What we found out
The authors were able to pretty precisely pinpoint when the extinction happened: 5,600 +- 100 years ago. All five of the independent indicators that the team measured (sedimentary ancient DNA, 3 different fungi, and the radio carbon dating) agreed, and this study is the most robust and precise estimate of an extinction ever recorded.

The major drivers behind this extinction were all related to freshwater availability on the island: lake shallowing, increased water turbidity, and increased salinity. Without fresh water, of course, mammoths would be unable to survive. Understanding why the freshwater decreased is a more difficult endeavor, and the authors hypothesized that it was related to sea level rise, climate change, and overuse of the freshwater resource by the mammoths.
The St. Paul mammoth demise is now one of the best-dated prehistoric extinctions, highlighting freshwater limitation as an overlooked extinction driver and underscoring the vulnerability of small island populations to environmental change, even in the absence of human influence.
What’s in the Data
This dataset has been semantically annoted, which means the definitions to the variables are well marked and traceable to other datasets containing similar information. Mouse over the green checkmark on the attribute tables to learn more about the measurement and be taken to similar data!
The different data files are:
- AgeModel.csv - data describing the sample on which carbon dating was performed
- Chiro.csv - collected data from from the chironomidae family and other insect matter
- Cladoceran.csv - collected data regarding samples from the order of small crusteceans Cladoceran
- CN.csv - carbon-nitrogen ratio with delta-thirteen-C and delta-fifteen-N
- Diatoms.csv - data regarding the group Diatom, the most common type of algae/phytoplankton
- MCD.csv - data surrounding the calculation of mean composite depths from the various cores
- Pollen_Sporormiella.csv - samples drawn from pollen and Sporormiella, a genus of fungi
- Results14c.csv - data from collected samples sent to the Kack Carbon Cycle AMS Facility in UCI
- Tephras_LOI.csv - data surrounding tephras samples, a fragmental material produced by a volcanic eruption and loss of ignition