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An updated X-ray diffractogram library of geologic materials

Dates

Publication Date
Time Period
2021-05-12

Citation

Kane, T.J., Campbell, K.M., and Eberl, D.D., 2021, An updated X-ray diffractogram library of geologic materials: U.S. Geological Survey data release, https://doi.org/10.5066/P9ID8IX1.

Summary

The X-ray diffraction (XRD) pattern library presented here is intended for qualitative or quantitative mineralogical analysis of geologic materials. The original collection of 169 reference diffractograms was released by Eberl (2003) as a part of RockJock, a USGS program for quantitative analysis of mineralogy, which included patterns of many of the major rock-forming minerals needed to analyze a wide variety of rocks, sediments, soils, and other geologic materials. The library was generated from mineral samples collected from the environment or synthesized in the laboratory. In the case of geologic samples, every effort was made to collect as pure a mineral specimen as possible. The purpose of this data release is to update the patterns [...]

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Attached Files

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vertrel_mixtures_results.csv 172 Bytes text/csv
RockMix_noVertrel.tif thumbnail 3.7 MB image/geotiff
RockMix_wVertrel.tif thumbnail 3.7 MB image/geotiff
RJ_ComparisonMaterials_values.csv 13.64 KB text/csv
vertrel_mixtures_data.csv 39.67 KB text/csv
RJ_ComparisonMaterials_purePatterns.csv 1.72 MB text/csv
RJ_ComparisonMaterials_spikePatterns.csv 1.68 MB text/csv

Purpose

The purpose of this dataset is to provide an updated library of X-ray powder diffraction data intended for qualitative or full-pattern quantitative mineralogical analysis of geologic materials. These data are meant to accompany RockJock, a USGS program for quantitative analysis of mineralogy. However, this library of diffractograms may be used effectively for quantitative mineralogical analysis of geologic materials using other programs that utilize full-pattern summation. Please note that the precision of the values contained in the CSVs is correct in each file. However, trailing zeros are truncated when these files are opened in Microsoft Excel, giving a false impression of analytical precision. Please take caution when working with these data in Excel.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9ID8IX1

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