Fourier Transformed Infrared (FTIR) Spectroscopy Data for Soil Carbon, Extractable Carbon, Changes in Soil FTIR Spectra, FTIR Data Clustering & Discriminant Analysis

Here we report on a rapid, high throughput approach using fingerprint Fourier transformed infrared (FTIR) spectroscopy and chemometric modeling. Fingerprint FTIR incorporates all information embedded within the FTIR spectrum, thus producing a biogeochemical or ecological “fingerprint” of the soil. This methodology was applied in a highly disturbed forest ecosystem over a 19-year sampling period to detect, via spectral analysis, changes in dynamic soil properties (e.g., soil organic matter and reactive mineralogy) that can indicate changes in soil quality. Two chemometric statistical techniques (i.e., hierarchical clustering analysis [HCA] and discriminate analysis of principal components [DAPC]) were evaluated for interpreting and quantifying similarities/dissimilarities between samples utilizing the entire FTIR spectra from each sample.

This dataset is associated with the following publication: Maynard, J., and M. Johnson. Applying fingerprint Fourier transformed infrared spectroscopy and chemometrics to assess soil ecosystem disturbance and recovery. JOURNAL OF SOIL AND WATER CONSERVATION. Soil and Water Conservation Society, 73(4): 443-451, (2018).

Data and Resources

Field Value
accessLevel public
bureauCode {020:00}
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
identifier https://doi.org/10.23719/1502535
license https://pasteur.epa.gov/license/sciencehub-license.html
modified 2018-06-08
programCode {020:000}
publisher U.S. EPA Office of Research and Development (ORD)
publisher_hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
references {https://doi.org/10.2489/jswc.73.4.443}
resource-type Dataset
source_datajson_identifier true
source_hash b590b5f8249e97a081ef6d36144d65a5534924e2
source_schema_version 1.1
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • ckan
  • discriminant-analysis
  • forest-soil
  • ftir
  • geo
  • geoss
  • national
  • north-america
  • redundancy-analysis
  • remote-sensing
  • soil-carbon
  • spatial-variability
  • system-recovery
  • terrain-analysis
  • united-states
  • variation-partitioning
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer Mark Johnson
maintainer_email johnson.markg@epa.gov
metadata_created 2025-11-22T03:06:21.787211
metadata_modified 2025-11-22T03:06:21.787215
notes Here we report on a rapid, high throughput approach using fingerprint Fourier transformed infrared (FTIR) spectroscopy and chemometric modeling. Fingerprint FTIR incorporates all information embedded within the FTIR spectrum, thus producing a biogeochemical or ecological “fingerprint” of the soil. This methodology was applied in a highly disturbed forest ecosystem over a 19-year sampling period to detect, via spectral analysis, changes in dynamic soil properties (e.g., soil organic matter and reactive mineralogy) that can indicate changes in soil quality. Two chemometric statistical techniques (i.e., hierarchical clustering analysis [HCA] and discriminate analysis of principal components [DAPC]) were evaluated for interpreting and quantifying similarities/dissimilarities between samples utilizing the entire FTIR spectra from each sample. This dataset is associated with the following publication: Maynard, J., and M. Johnson. Applying fingerprint Fourier transformed infrared spectroscopy and chemometrics to assess soil ecosystem disturbance and recovery. JOURNAL OF SOIL AND WATER CONSERVATION. Soil and Water Conservation Society, 73(4): 443-451, (2018).
num_resources 1
num_tags 18
title Fourier Transformed Infrared (FTIR) Spectroscopy Data for Soil Carbon, Extractable Carbon, Changes in Soil FTIR Spectra, FTIR Data Clustering & Discriminant Analysis