Data

Climate change is expected to alter the distributions and community composition of stream fishes in the Great Lakes region in the 21st century, in part as a result of altered hydrological systems (stream temperature, streamflow, and habitat). Resource managers need information and tools to understand where fish species and stream habitats are expected to change under future conditions...

This dataset describes the storm event mean concentrations and loads of total and dissolved forms of phosphorus and nitrogen from paired samples collected in the control and test catchment during the calibration and treatment phase of a leaf removal study in Madison, Wisconsin, USA. Samples were collected in spring 2013 through fall 2015 and are parsed by season where spring represents...

The U.S. Geological Survey, National Park Service, St. Cloud State University, and the University of St. Thomas conducted a cooperative study to investigate the occurrence of chemicals of emerging concern (CECs) and potential effects to aquatic biota in select tributaries of the St. Croix River in Minnesota and Wisconsin. In 2011, treated wastewater effluent samples were collected from...

The U.S. Geological Survey (USGS), in cooperation with the U.S. Fish and Wildlife Service (USFWS) and St. Cloud State University (SCSU), identified the occurrence of contaminants of emerging concern (CECs) in water and bottom sediment collected in 2014 at 65 sites throughout the Great Lakes Basin. The 2014 effort is part of a long-term study that began in 2010. Included in this directory...

The U.S. Geological Survey (USGS), in cooperation with the U.S. Fish and Wildlife Service (USFWS) and the U.S. Environmental Protection Agency (EPA), identified the occurrence of contaminants of emerging concern (CECs) in water and bottom sediment collected in 2013 at 57 sites throughout the Great Lakes Basin. The 2013 effort is part of a long-term study that began in 2010. Included in...

Real-time, daily, peak-flow, field measurements, and statistics of current and historical data that describe stream levels, streamflow (discharge), reservoir and lake levels, surface-water quality, and rainfall in Wisconsin. Surface-water data are collected and stored as either discrete field-water-level measurements or as continuous time-series data from automated recorders.

Data from wells, springs, test holes, tunnels, drains, and excavations in Wisconsin; well location data includes information such as latitude and longitude, well depth, and aquifer. Groundwater level data are collected and stored as either discrete field-water-level measurements or as continuous time-series data from automated recorders.

Chemical, physical, and biological properties of water, sediment, and tissue samples from Wisconsin. Water-quality data are collected as either discrete field measurements or as continuous time-series data from automated recorders that continuously record physical and chemical characteristics including pH, specific conductance, temperature, and dissolved oxygen.

Water-use data is collected by area type (state, county, watershed, or aquifer) and source (such as rivers or groundwater), and category (such as public supply or irrigation). Water-use data has been reported every five years since 1950. The USGS works in cooperation with local, State, and Federal agencies as well as academic and private organizations to collect and report withdrawals.

Real-time water levels and long-term statistics for lakes and reservoirs in Wisconsin. Lake data are collected and stored as continuous time-series data from automated recorders.

The Real-Time Groundwater Level Network contains data typically recorded at 15-60 minute intervals, stored onsite, and then transmitted to USGS offices every 1 to 4 hours, depending on the data relay technique used. Recording and transmission times may be more frequent during critical events. All real-time data are provisional and subject to revision.