Author Information

Benjamin PuckettFollow

Is this project an undergraduate, graduate, or faculty project?

Undergraduate

Project Type

individual

Campus

Worldwide

Authors' Class Standing

Benjamin Puckett, Sophomore

Lead Presenter's Name

Benjamin Puckett

Lead Presenter's College

WW College of Arts and Sciences

Faculty Mentor Name

Beverly Wood

Abstract

Naturally occurring events are vital in the forward movement of scientific research. Data collected from NASA on meteorite landings helps researchers identify and locate these fallen objects from space. However, obtaining this data is a complex process and there are faults within the methods used. This paper explores a particular data collection method for meteorite landings and compares it to another dataset where the two are surprisingly similar. The patterns revealed by combining two datasets show that there are limits or borders to how a dataset can and should be used. With meteorite landings, the internet-reliant data collection method provides a road-map for expanding this data, improving ethics, and making way for more accurate scientific discoveries.

Did this research project receive funding support (Spark, SURF, Research Abroad, Student Internal Grants, Collaborative, Climbing, or Ignite Grants) from the Office of Undergraduate Research?

No

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Meteorite Landings and the Role of Internet-Reliant Data

Naturally occurring events are vital in the forward movement of scientific research. Data collected from NASA on meteorite landings helps researchers identify and locate these fallen objects from space. However, obtaining this data is a complex process and there are faults within the methods used. This paper explores a particular data collection method for meteorite landings and compares it to another dataset where the two are surprisingly similar. The patterns revealed by combining two datasets show that there are limits or borders to how a dataset can and should be used. With meteorite landings, the internet-reliant data collection method provides a road-map for expanding this data, improving ethics, and making way for more accurate scientific discoveries.

 

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