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row_uid large_string | analyte large_string | value float64 | source_file large_string |
|---|---|---|---|
AnalyticMethod_Biblio.csv::0 | AM_PUB_YEAR | 1,996 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::1 | AM_PUB_YEAR | 2,017 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::2 | AM_PUB_YEAR | 2,017 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::3 | AM_PUB_YEAR | 2,017 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::4 | AM_PUB_YEAR | 2,017 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::5 | AM_PUB_YEAR | 2,017 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::6 | AM_PUB_YEAR | 2,017 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::7 | AM_PUB_YEAR | 2,017 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::8 | AM_PUB_YEAR | 2,015 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::9 | AM_PUB_YEAR | 2,015 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::10 | AM_PUB_YEAR | 2,015 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::11 | AM_PUB_YEAR | 2,015 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::12 | AM_PUB_YEAR | 2,015 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::13 | AM_PUB_YEAR | 2,015 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::14 | AM_PUB_YEAR | 2,015 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::15 | AM_PUB_YEAR | 1,987 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::16 | AM_PUB_YEAR | 1,996 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::17 | AM_PUB_YEAR | 1,987 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::18 | AM_PUB_YEAR | 2,002 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::19 | AM_PUB_YEAR | 2,002 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::20 | AM_PUB_YEAR | 2,002 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::21 | AM_PUB_YEAR | 2,002 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::22 | AM_PUB_YEAR | 2,002 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::23 | AM_PUB_YEAR | 1,981 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::24 | AM_PUB_YEAR | 1,993 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::25 | AM_PUB_YEAR | 2,002 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::26 | AM_PUB_YEAR | 1,987 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::27 | AM_PUB_YEAR | 1,984 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::28 | AM_PUB_YEAR | 1,977 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::29 | AM_PUB_YEAR | 2,002 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::30 | AM_PUB_YEAR | 1,975 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::31 | AM_PUB_YEAR | 1,990 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::32 | AM_PUB_YEAR | 1,976 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::33 | AM_PUB_YEAR | 1,987 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::34 | AM_PUB_YEAR | 1,970 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::35 | AM_PUB_YEAR | 2,002 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::36 | AM_PUB_YEAR | 2,002 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::37 | AM_PUB_YEAR | 1,996 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::38 | AM_PUB_YEAR | 1,996 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::39 | AM_PUB_YEAR | 1,986 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::40 | AM_PUB_YEAR | 1,986 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::41 | AM_PUB_YEAR | 1,986 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::42 | AM_PUB_YEAR | 1,986 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::43 | AM_PUB_YEAR | 1,986 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::44 | AM_PUB_YEAR | 1,986 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::45 | AM_PUB_YEAR | 1,990 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::46 | AM_PUB_YEAR | 1,996 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::47 | AM_PUB_YEAR | 1,996 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::48 | AM_PUB_YEAR | 1,996 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::49 | AM_PUB_YEAR | 1,996 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::50 | AM_PUB_YEAR | 2,007 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::51 | AM_PUB_YEAR | 1,975 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::52 | AM_PUB_YEAR | 2,002 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::53 | AM_PUB_YEAR | 1,987 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::54 | AM_PUB_YEAR | 2,002 | AnalyticMethod_Biblio.csv |
AnalyticMethod_Biblio.csv::55 | AM_PUB_YEAR | 2,002 | AnalyticMethod_Biblio.csv |
BV_Ag_Mo.csv::0 | Ag_ppm | 12.5 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::1 | Ag_ppm | 9.4 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::2 | Ag_ppm | 13.1 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::3 | Ag_ppm | 13.6 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::4 | Ag_ppm | 95.5 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::5 | Ag_ppm | 23.6 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::6 | Ag_ppm | 10.7 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::7 | Ag_ppm | 1.5 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::8 | Ag_ppm | 11.5 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::9 | Ag_ppm | 8.4 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::10 | Ag_ppm | 17.1 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::11 | Ag_ppm | 9.2 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::12 | Ag_ppm | 9 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::13 | Ag_ppm | 7.5 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::14 | Ag_ppm | 6.1 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::15 | Ag_ppm | 8.7 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::16 | Ag_ppm | 20.1 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::17 | Ag_ppm | 32.9 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::18 | Ag_ppm | 26.6 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::19 | Ag_ppm | 39.2 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::20 | Ag_ppm | 19.4 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::21 | Ag_ppm | 8.8 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::22 | Ag_ppm | 2.6 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::23 | Ag_ppm | 22 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::24 | Ag_ppm | 20.2 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::25 | Ag_ppm | 1.3 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::26 | Ag_ppm | 0.6 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::27 | Ag_ppm | 1 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::28 | Ag_ppm | 1.3 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::29 | Ag_ppm | 5 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::30 | Ag_ppm | 5.6 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::31 | Ag_ppm | 5 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::32 | Ag_ppm | 50 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::33 | Ag_ppm | 1.5 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::34 | Ag_ppm | 5 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::35 | Ag_ppm | 0.3 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::36 | Ag_ppm | 0.2 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::37 | Ag_ppm | 0.1 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::38 | Ag_ppm | 0.5 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::39 | Ag_ppm | 0.1 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::40 | Ag_ppm | 1.5 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::41 | Ag_ppm | 0.6 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::42 | Ag_ppm | 50 | BV_Ag_Mo.csv |
BV_Ag_Mo.csv::43 | Ag_ppm | 70 | BV_Ag_Mo.csv |
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NGDOD — National Geochemical Database on Ore Deposits: Legacy Data
1,558,396 samples, 5,398,750 measurements. Nearly 30,000 historic ore and ore-related rock samples from U.S. mineral deposits and mining districts, covering 15 mineral system types and 42 mineral deposit types. Modernized from the USGS ScienceBase data release into two linked GeoParquet tables for AI, API, and GIS use.
Scope
No geological reinterpretation or machine-learning modelling was performed — this is a structural modernization only, preserving the original geochemical measurements, spatial information, and provenance.
Contents
geoparquet/samples.parquet— one row per sample: identifying/metadata columns (including mineral system/deposit type where present), latitude, longitude, point geometry (EPSG:4326)geoparquet/measurements.parquet— long format: one row per (sample, analyte), join back to samples onrow_uidmetadata.json— provenance, citation, counts, standardization notes, known caveats
Why two tables instead of one wide table
The legacy database mixes many analytical methods with inconsistent per-method columns across historic submissions. Splitting sample metadata from analyte measurements (long format) avoids hundreds of mostly-empty columns and is the standard structure for programmatic geochemistry access.
Caveats
Analyte vs. identifying/metadata columns were split per source table using keyword heuristics on column names (see ID_COLUMN_HINTS in the build notebook), not a hand-verified data dictionary — cross-check analyte column meanings against USGS documentation files bundled in the raw download before treating this as authoritative for a specific element or deposit type.
Source & Citation
Granitto, M., Hofstra, A.H., Schmidt, D.E., and Khoury, R.M., 2021, National Geochemical Database on Ore Deposits: Legacy data: U.S. Geological Survey data release, https://doi.org/10.5066/P944U7S5
License
CC0 1.0 Universal
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