For australian geo data look here https://github.com/unearthed/explore_australia

Mapo AI is a virtual exploration assistant that manages your mineral exploration efforts. To learn more, check out the Mapo Blog Post and Mapo White Paper.

The data folder contains mineral occurence datasets for:

1. Canada > British Columbia
2. Canada > Alberta

ariasdata.csv and arismetadata.csv

• Number of data records: 35,898
• Date of last update: Unknown

MINFILE.csv

• Number of records: 14,817
• Record last modified: 2018-11-27

To re-create MINFILE.csv, perform the following:

1. Go here: http://apps.gov.bc.ca/pub/dwds/addProducts.do
2. Search "MINFILE Mineral Occurrence Database"
3. Click + button to add database to order
4. Click "View Your Order" button
5. Slect "Geographic Long/Lat (dd)" under projection drop-down menu and "CSV" under format drop-down menu
6. Type your email address
7. Press "I accept the Terms and Conditions"
8. Press "Submit Order"
9. Receive email from [email protected] with the subject: "Your order XXXXXXX has been assembled"
10. Copy URL in the email body (i.e. https://apps.gov.bc.ca/pub/dwds/initiateDownload.do?orderId=XXXXXXX)
11. Paste URL into browser to download a ZIP file
12. Open ZIP file to extract contents
13. Open extracted folder
14. Open "MINFIL_MINERAL_FILE" folder
15. Use "MINFILE.csv" for data analysis

mrds.csv

• Number of records: 244
• Record last modified: Unknown

To re-create mrds.csv, perform the following:

1. Go here: https://mrdata.usgs.gov/mrds/geo-inventory.php
2. Click the "North America" link
3. Click the "Canada" link
4. Select "CSV" under Format menu
5. Click "Download" button
6. Look for "British Columbia" rows under the "state" column

Metallic_Mineral_Occurrence.csv

• Website
• Number of records: 385
• Record last modified: 2016-09-23

mrds.csv

• Number of records: 24
• Record last modified: Unknown

To re-create mrds.csv, perform the following:

1. Go here: https://mrdata.usgs.gov/mrds/geo-inventory.php
2. Click the "North America" link
3. Click the "Canada" link
4. Select "CSV" under Format menu
5. Click "Download" button
6. Look for "Alberta" rows under the "state" column

1. Create environment using pipenv with python 3.6.*

   pipenv --python python3.6
   

2. Enter pipenv environment

   pipenv shell
   

3. Install packages (for development)

   pipenv install -d
   

1. To explore the existing datasets, review the eda folder
2. To visualize mineral occurrence data on a map, look for: Latitude, Longitude, Depth, or Elevation values. Use the guide below to get started.

MINFILE.csv

• Relevant columns: DECIMAL_LATITUDE, DECIMAL_LONGITUDE, ELEVATION, COMMODITY_DESCRIPTION1, COMMODITY_DESCRIPTION2, COMMODITY_DESCRIPTION3, COMMODITY_DESCRIPTION4, COMMODITY_DESCRIPTION5, COMMODITY_DESCRIPTION6, COMMODITY_DESCRIPTION7, COMMODITY_DESCRIPTION8
• Missing columns: year of discovery

mrds.csv

• Relevant columns: latitude, longitude, commod1, commod2, commod3, disc_yr
• Missing columns: depth or elevation of discovery

Metallic_Mineral_Occurrence.csv

• Relevant columns: Long_NAD83, Lat_NAD83, Depth_m, Comm_1, Comm_2, Location, Ref_AGS

mrds.csv

• Relevant columns: latitude, longitude, commod1, commod2, commod3, disc_yr
• Missing columns: depth or elevation of discovery