Comprehensive Water Science Data Collection, Management, Editing, Processing and Analysis Software

Over twenty-five years of field and data experience have gone into developing our StreamTrac enterprise software.  Simply stated, this multi-user tool is the Water Quality monitoring data platform that is setting the standard.  Based on Microsoft’s ODBC (Open Database Connectivity) format, StreamTrac has an open, robust and widely used architecture with significant expansion flexibility for large monitoring networks. It seamlessly collects, consolidates and manages all your water quality data including:

Electronic field notes, manual observations and site meta data Raw continuously monitored data, diagnostics parameters Lab data from auto samples and grab samples Edited data generated by the full suite of powerful editing tools including dynamic editing notes and author tracking Processed data generated by flexible and powerful math functions, rating tools and regression libraries. Report ready data analyses, graphs, tables, regressions and statistics

If you are like most hydrologists, technicians and data managers you struggle with large numbers of inconveniently indexed and cross-referenced data files from a variety of programs in a variety of formats.  Often field notes are only available in hardcopy and are not easily backed up or dynamically linked to data.  Traditional software tools are inadequate, inefficient, and cumbersome.  Annual data reports are very time consuming and typically not in user friendly formats for sharing with stakeholders.

Imagine the power of linking field notes, raw data, lab data, plots, analyses, editing notes, author tracking, SQL sorting, load calculations etc. on one platform capable of supporting large networks of stations with decades of data.  Imagine automated  data storage and file management.  Imagine all this data and information is seamlessly at your fingertips and easily archived and retrieved.

Imagine powerful integrated editing tools that allow you to quickly correct and edit data segments while maintaining dynamic editing notes and tracking editing authorship.  Imagine powerful event based analysis tools that provide the ability to rapidly compare and evaluate various hydrographs, sediment loads and statistics from numerous stations and/or numerous hydro years. The list goes on and on.