IGS Databases and Applications

The long-term systematic collection and retention of earth science data continues to be of immeasurable value to the State of Iowa. Refinements in data collection and interpretation have evolved with improved technology, and these refinements permit improved capabilities in problem-solving and service functions of the Iowa Geological Survey (IGS).

	DATABASES
	Geologic Sample Database (GEOSAM) - Geosam is a database application for retrieving geologic, hydrologic, and well construction information for site specific locations in Iowa.

	APPLICATIONS
	Iowa UTM Coordinate Calculator - Application converts a Public Land Survey description (legal land descriptions including township, range, section and quarters) to centroid point location expressed in Universal Transverse Mercator (UTM) coordinates.
	Iowa PLSS Coordinate Calculator -Application converts Universal Transverse Mercator (UTM) coordinates or Latitude/Longitude to Public Land Survey description (PLSS). PLSS is a legal land description that includes township, range, section and quarters.

Disclaimer
These electronic data sets were developed by the Iowa Department of Natural Resources (IDNR) to carry out agency responsibilities related to management, protection, and development of Iowa's natural resources. Although efforts have been made to make it useful, IDNR assumes no responsibility for errors in the information. Similarly IDNR assumes no responsibility for the consequences of inappropriate uses or interpretations of the data made by anyone to whom this data has been made available. IDNR bears no responsibility to inform users of any changes made to this data. Anyone using this data is advised that precision implied by the data may far exceed actual precision. Comments on this data are invited and IDNR would appreciate that documented errors be brought to staff attention. The development of these data sets represents a major investment of staff time and effort. As a professional responsibility, we expect that the Iowa Department of Natural Resources will receive proper credit when you utilize these data sets.

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