This product consists of 29 datasets of tabular data and associated metadata for watershed characteristics of 1,530 study sites of the Surface Water Trends (SWT) project of the U.S. Geological Survey’s (USGS) National Water Quality Program (NWQP). The project is conducting national studies of trends in water quality of streams and rivers for periods ranging from 10 to 40 years, between 1972 and 2012. The data here include both static and time-series characteristics. Static data include primarily physical characteristics which have changed little over this period, such as geology, soils, and topography. Time-series data represent characteristics which may or may not have changed over time, such as land use, agricultural practices, precipitation, hydrologic modifications, atmospheric deposition, and population changes.

This product consists of 29 datasets of tabular data and associated metadata for watershed characteristics of 1,530 study sites of the Surface Water Trends (SWT) project of the U.S. Geological Survey’s (USGS) National Water Quality Program (NWQP). The project is conducting national studies of trends in water quality of streams and rivers for periods ranging from 10 to 40 years, between 1972 and 2012. The data here include both static and time-series characteristics. Static data include primarily physical characteristics which have changed little over this period, such as geology, soils, and topography. Time-series data represent characteristics which may or may not have changed over time, such as land use, agricultural practices, precipitation, hydrologic modifications, atmospheric deposition, and population changes.

Scanned images of hand written 'Rapid Bioassessment Protocol for Use in Streams and Wadeable Rivers' data forms. Organized by year, within year alphabetized by Park and Site. See most recent protocol for more information on data collection methods.

Hourly water level data collected during the growing season in the eight sentinel sites located on Mount Desert Island in Acadia National Park. Dataset also contains hourly precipitation. All units are in cm.

Hourly water level data collected during the growing season in the eight sentinel sites located on Mount Desert Island in Acadia National Park. Dataset also contains hourly precipitation. All units are in cm.

This database contains water monitoring data collected by NETN in the CVDT format used by data visualization and other systems. This version of the data is not intended to be an archive.

The U.S. Geological Survey (USGS), in cooperation with the Missouri Department of Natural Resources (MDNR), collects data pertaining to the surface-water resources of Missouri. These data are collected as part of the Missouri Ambient Water-Quality Monitoring Network (AWQMN) and are stored and maintained by the USGS National Water Information System (NWIS) database. These data constitute a valuable source of reliable, impartial, and timely information for developing an improved understanding of the water resources of the State. Water-quality data collected between 1993 and 2017 were analyzed for long term trends and the network was investigated to identify data gaps or redundant data to assist MDNR on how to optimize the network in the future. This is a companion data release product to the Scientific Investigation Report: Richards, J.M., and Barr, M.N., 2021, General water-quality conditions, long-term trends, and network analysis at selected sites within the Ambient Water-Quality Monitoring Network in Missouri, water years 1993–2017: U.S. Geological Survey Scientific Investigations Report 2021–5079, 75 p., https://doi.org/10.3133/sir20215079. The following selected tables are included in this data release in compressed (.zip) format: AWQMN_EGRET_data.xlsx -- Data retrieved from the USGS National Water Information System database that was quality assured and conditioned for network analysis of the Missouri AWQMN AWQMN_R-QWTREND_data.xlsx -- Data retrieved from the USGS National Water Information System database that was quality assured and conditioned for analysis of flow-weighted trends for selected sites in the Missouri AWQMN AWQMN_R-QWTREND_outliers.xlsx -- Data flagged as outliers during analysis of flow-weighted trends for selected sites in the Missouri AWQMN AWQMN_R-QWTREND_outliers_quarterly.xlsx -- Data flagged as outliers during analysis of flow-weighted trends using a simulated quarterly sampling frequency dataset for selected sites in the Missouri AWQMN AWQMN_descriptive_statistics_WY1993-2017.xlsx -- Descriptive statistics for selected water-quality parameters at selected sites in the Missouri AWQMN

General repository for spatial data and methods used to create bathymetric maps for the water bodies included in NETN's water quality monitoring protocol. Objective of these surveys was to collect depth data of sufficient density to derive a bathymetric map of the lakes and ponds undergoing monitoring by the Network. Basic methods involved superimposing a grid on the pond, navigating to each grid point, drill a hole in the ice and take a depth measurement. The balance of effort and suitable model resolution resulted in the use a varying grid sizes between the water bodies. Grid points were calculated in ArcGIS by applying the free Repeating Shapes tool (http://www.jennessent.com/arcgis/repeat_shapes.htm) to the target waterbody's shoreline polygon. A Trimble RTK (R8 base/rover receivers and a TSC3 Controller) was used to navigate to each of the grid points. A 4 1/2" ice auger connected to a portable drill was then used to make a hole in the ice and a weighted vinyl tape was used to measure the depth to the nearest cm. In some circumstances it was deemed necessary to record more depths: 1) near the edges of the pond where the grid was not an ideal fit and 2) around what was determined to be the deepest part of the pond. We used a combination of tabular and spatial data processing steps to convert depth sampling data to create a digital bathymetric map. Detailed procedures are attached as holdings.