Assessment Report-Sourced Surface Sediment Geochemical Sample (ARSSG) database
This database contains assessment report-source surface sediment geochemical (ARSSG) data (e.g. soil, silt, stream sediment, and till) mainly from the Interior Plateau, and includes location coordinates, sampling parameters and notes, laboratory information, sample preparation methods, and analytical methods. Containing information from about 120 assessment reports, the database includes results from more than 34,000 samples, with 1,446,000 determinations from 13 laboratories. The data are provided as a GeoPackage, which can be imported directly into most GIS, and as a set of CSV files. A May 2020 update to the ARSSG database more than doubles the number of samples available to more than 108,000 samples, with 4,347,398 determinations, from 391 assessment reports. The November 2020 update brings the number of samples to 143,346 from 483 assessment reports.
Datasets available for download
Additional Info
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| Last Updated | October 19, 2025, 23:25 (UTC) |
| Created | October 19, 2025, 23:25 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Title
Title for the Dataset.
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Assessment Report-Sourced Surface Sediment Geochemical Sample (ARSSG) database |
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Description
A description of the dataset.
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This database contains assessment report-source surface sediment geochemical (ARSSG) data (e.g. soil, silt, stream sediment, and till) mainly from the Interior Plateau, and includes location coordinates, sampling parameters and notes, laboratory information, sample preparation methods, and analytical methods. Containing information from about 120 assessment reports, the database includes results from more than 34,000 samples, with 1,446,000 determinations from 13 laboratories. The data are provided as a GeoPackage, which can be imported directly into most GIS, and as a set of CSV files. A May 2020 update to the ARSSG database more than doubles the number of samples available to more than 108,000 samples, with 4,347,398 determinations, from 391 assessment reports. The November 2020 update brings the number of samples to 143,346 from 483 assessment reports. |
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Tags / Keywords
Keywords/tags categorizing the dataset.
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Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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Dataset Size
Dataset size in megabytes.
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Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
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Published Date
Published date of the dataset.
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2021-02-02 |
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Time Period Data Span (start date)
Start date of the data in the dataset.
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Time Period Data Span (end date)
End date of time data in the dataset.
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GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
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Access category
Type of access granted for the dataset (open, closed, service, etc).
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License
License used to access the dataset.
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Access Only |
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Limits on use
Limits on use of data.
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Location
Location of the dataset.
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https://catalogue.data.gov.bc.ca/dataset/assessment-report-sourced-surface-sediment-geochemical-sample-arssg-database |
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Data Service
Data service for accessing a dataset.
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Owner
Owner of the dataset.
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BC Geological Survey |
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Contact Point
Who to contact regarding access?
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Yao Cui |
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Contact Point Email
The email to contact regarding access?
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[email protected] |
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Publisher
Publisher of the dataset.
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Publisher Email
Email of the publisher.
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Author
Author of the dataset.
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Author Email
Email of the author.
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Accessed At
Date the data and metadata was accessed.
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Identifier
Unique identifier for the dataset.
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Language
Language(s) of the dataset
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Link to dataset description
A URL to an external document describing the dataset.
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Persistent Identifier
Data is identified by a persistent identifier.
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Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
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Contains data about individuals
Does the data hold data about individuals?
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Contains data about identifiable individuals
Does the data hold identifiable data about individual?
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Contains Indigenous Data
Does the data hold data about Indigenous communities?
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Portal Type
Platform type of the source portal.
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Version
Version of the datatset
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None |
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Source
Source of the dataset.
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https://www2.gov.bc.ca/gov/content?id=E1DC806086E34F3EB2FF4C6FDA08F427 |
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Version notes
Version notes about the dataset.
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Is version of another dataset
Link to dataset that it is a version of.
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Other versions
Link to datasets that are versions of it.
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Provenance Text
Provenance Text of the data.
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The database is sourced from Mineral Assessment Reports located at: https://www2.gov.bc.ca/gov/content?id=BB21FF391EBA4E7280EA3E92DE6487D2. The initial publication for this database is: Norris, J., and Fortin, G., 2019. Assessment report-sourced surface sediment geochemical database: Development and initial data release from the Interior Plateau. British Columbia Ministry of Energy, Mines and Petroleum Resources, British Columbia Geological Survey GeoFile 2019-04, 9p. |
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Provenance URL
Provenance URL of the data.
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Temporal resolution
Describes how granular the date/time data in the dataset is.
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GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
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GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
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Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
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Community Permission
Community permission (who gave permission).
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The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
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Number of data rows
If tabular dataset, total number of rows.
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Number of data columns
If tabular dataset, total number of unique columns.
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Number of data cells
If tabular dataset, total number of cells with data.
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Number of data relations
If RDF dataset, total number of triples.
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Number of entities
If RDF dataset, total number of entities.
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Number of data properties
If RDF dataset, total number of unique properties used by the triples.
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Data quality
Describes the quality of the data in the dataset.
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Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.
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