Creating the all-in-one resource for sasquatch research.
Perform your own analysis.
The Dataset
Part 1 of the Sasquatch Data Project is the quest to create an open-source, all-encompassing dataset of sasquatch witness reports.
Running analyses on the current sasquatch data should be easy, so we’ve parsed every report and formatted for data analysis. The dataset will be available in both a .csv and .xlsx file types.
Data Quality
Sighting reports are currently sourced from the Bigfoot Field Researchers Organization (BFRO). Reports will also come from the North American Wood Ape Conservancy (NAWAC) and more.
We are always open to adding to the dataset from reputable sources, so if that’s you, contact us.
Beyond Data
It is our mission to eventually construct a Python library and exploratory Excel resource just for sasquatch researchers. Coding is difficult, but we’re going to make it highly accessible so anyone can easily conduct their own scientific exploration. Bigfoot.py is coming to a command line near you soon.
“We” are a one-woman show.
The Sasquatch Data Project is founded and run by researcher, Terrestrial. Terrestrial’s interest in bigfoot began at the early age of 5 and has only grown since.
Terrestrial has a Bachelor of Science in Earth & Atmospheric Sciences from the Georgia Institute of Technology and is currently pursuing a Blue Ridge Naturalist certification. While an undergrad at Georgia Tech, she played an integral role in categorizing, identifying, and measuring ground-ice features on dwarf planet Ceres as part of NASA’s Dawn Mission. She first-authored a paper published in JGR: Planets and co-authored a number of papers while working on this mission.
In 2023 she decided to retire as a professional Twitch gaming live-streamer and devote her time into creating the ultimate data resource for sasquatch research, the SDP Dataset. While the Sasquatch Data Project remains her primary focus, she is also engaged in collaborative projects with field investigators, transforming field notes and witness interviews into structured datasets and performing in-depth analyses. She is also actively involved in interdisciplinary research at North Carolina State University.
Terrestrial has also appeared on the following podcasts and live-streams: