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Data from: Predicting the composition of solid waste at the county scale

Grassel, Joshua T.1; Bingham, Darren R.2; Hasan, Kazi W.3; Rengarajan, Nivedita4; Escobedo, Adolfo R.1; Rushforth, Richard R.2; Buch, Rajesh3

Published Jul 01, 2025 on Dryad. https://doi.org/10.5061/dryad.k3j9kd5kq

Data files

Jul 01, 2025 version files 37.92 KB

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Abstract

This repository contains compiled data from published waste characterization studies with intent for training waste composition prediction models. The data is first used in a study published in the journal Waste Management titled "Predicting the composition of solid waste at the county scale". The data available is contained in reports that we refer to as waste characterization studies; these reports are often titled similarly. The data is pulled from these reports, where each data point is an estimated percentage breakdown of the waste stream into various material categories for a particular geographic area and year. Some reports provide multiple data points, such as data for each county within a state. The project team manually extracted this data from the publicly available report PDFs. Since different reports often use unique sets of material categories, the team translated the data into a standardized characterization. This process is detailed in the aforementioned paper.