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Project Citation: 

US Department of Agriculture, and US Forest Service. Geographic determination data for southern Oregon Pinus ponderosa using DART TOFMS, ICP-MS, and LIBS handheld analyzer. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2026-05-31. https://doi.org/10.3886/E248784V1

Project Description

Project Title:  View help for Project Title Geographic determination data for southern Oregon Pinus ponderosa using DART TOFMS, ICP-MS, and LIBS handheld analyzer
Summary:  View help for Summary This data publication contains analytical data from direct analysis in real time time-of-flight mass spectrometry (DART TOFMS), inductively coupled plasma mass spectrometry (ICP-MS), and handheld laser-induced breakdown spectroscopy (LIBS) collected from five populations of Pinus ponderosa located 14 to 72 kilometers apart in Oregon between October 2021 and February 2025. These data were generated to assess the effectiveness of these techniques paired with machine learning models in determining the geographical provenance of timber. The data support research into forensic wood identification and environmental forensics by providing mass spectral and elemental composition data for comparative analysis. These data can be used to explore classification models, develop geographic reference databases, and evaluate alternative approaches for timber provenance determination. This data publication includes tabular digital data including: 1) the geographic coordinates and final ash mass for 107 Pinus ponderosa core samples, 2) ICP-MS data for 107 Pinus ponderosa wood core samples (normalized), 3) recorded DART TOFMS spectra data including the mass-to-charge ratio and corresponding relative intensity, and 4) recorded LIBS spectra data including wavelength and corresponding intensity.
Original Distribution URL:  View help for Original Distribution URL https://www.fs.usda.gov/rds/archive/catalog/RDS-2025-0009

Scope of Project

Subject Terms:  View help for Subject Terms location; environment; Ecology; Ecosystems; Environment; Hydrology; watersheds; sedimentation; Forest Products; Wood chemistry; timber provenance; machine learning; spectrometry; spectroscopy; Oregon; Jacksonville; Klamath Falls; Ashland
Geographic Coverage:  View help for Geographic Coverage Oregon, Klamath Falls, Jacksonville
Time Period(s):  View help for Time Period(s) 10/1/2021 – 2/1/2025
Data Type(s):  View help for Data Type(s) geographic information system (GIS) data; observational data
Collection Notes:  View help for Collection Notes DOI: https://doi.org/10.2737/RDS-2025-0009 Authors: Price, Erin R. ; Cano, Kierra R. ; Celani, Caelin P. ; Carneiro, Helder V. ; Booksh, Karl S. ; Jordan, James A. ; McClure, Pamela J. ; Pinedo, Megahn H. ; Ketterer, Michael E. ; Elliott, Kent M. ; Coplen, Tyler B. ; Espinoza, Edgard O. Publication year: 2025 (Downloaded 2026-05-30)


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