This version of the database contains a number of modified and new mineral occurrences. The coordinates in the GIS digital product for version 9 and all subsequent versions are now in UTM zone 20 NAD83 coordinates.
The DATA is provided to the USER on an "as is" basis, without warranties of any kind, express or implied. The entire risk as to the quality and accuracy of the DATA is with the USER and the USER shall use his/her own judgment in making use of the DATA or drawing conclusions based upon it. DNR shall not be liable to the USER, his/her clients, servants, agents, contractors, assigns, or to any other person for any loss or damage of any kind including personal injury or death arising from the use of the DATA or accompanying written materials, or from errors, deficiencies or faults therein, whether such damage is caused by negligence or otherwise. If errors or omissions are found in the DATA, the USER will notify DNR. The terms and conditions of the license accompany the downloaded digital product.
ESRI shape files (SHP), ArcGIS File Geodatabase 10.2 (GDB), a Google Earth compatible file format (KML\KMZ) and Microsoft Excel spreadsheets (XLS) compressed in self-extracting EXE/ZIP files (more information on data formats)
SHP - 1 MB (compressed), 11 MB (uncompressed)
GDB - 1.6 MB (compressed), 13 MB (uncompressed)
KML\KMZ - 0.7 MB (compressed), 1 MB (uncompressed)
XLS - 1.5 MB (compressed), 6.2 MB (uncompressed)
The data is in six-degree Universal Transverse Mercator (UTM) projection, Zone 20, Central Meridian 63° 00' West using the North American Datum of 1983 (NAD83).
The data files have been compressed using PKZIP into a single, self-extracting EXE file.
The EXE file can also be opened in WinZip to view and extract the compressed files in the data set.
On UNIX platforms, the unzip command will extract the compressed files in the EXE.
All data sets are in six-degree Universal Transverse Mercator (UTM) Zone 20 projection using the NAD83 datum. A readme file and a copy of the licence agreement are also included with each data set.