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.

GIS shapefiles of cumulative watersheds models based on NETN's long-term water quality monitoring stations. Holdings include step-by-step instructions on how they were produced. Cumulative watersheds are one of several physical characteristics compiled and entered into the NETN water database (NETN_H2O) and represent the geographic extent from which surface water may have traveled to reach the monitoring site. Periodicity, flood attenuation, chemical buffering capacity, nutrient load, contaminants, invasive species, and water volume are just a few of the metrics that can be better understood when viewed from a cumulative watershed context. In addition to the watershed files, a Standard Operating Proceedure (SOP) documenting the geoprocessing steps required to calculate the area or region from which all surface water drains to NETN’s water quality monitoring sites (i.e. cumulative watershed) is also included. The process steps documented in this SOP were adapted from a University of Virginia Scholar’s Lab lecture assignment of unknown authorship titled “GIS Watershed Delineation Exercise”, circa 2012.

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.

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 4 resource surveys (coastal, rivers and streams, lakes and reservoirs, and wetlands) each have datasets covering the biological, chemical, physical habitat, hydrologic and watershed data.

This dataset contains water quality data and associated site information including landuse/landcover descriptions for the 2011 NWCA wetland sites at which a water sample was successfully obtained. This dataset is associated with the following publication: Trebitz, A., J. Nestlerode, and A. Herlihy. USA-scale patterns in wetland water quality as determined from the 2011 National Wetland Condition Assessment. ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 191(262): 24 p., (2019).

Scanned images of hand written Water Quality monitoring data forms. Organized by year and month. See most recent protocol for more information on data collection methods.

Wadeable stream habitat data from four long-term monitoring programs (AIM, AREMP, NRSA, PIBO MP) were obtained, pre-processed, transformed, and combined using R code following the Stream Habitat Metrics Integration (SHMI) Data Exchange Standard (Scully et al., 2023b). The dataset includes 26 stream habitat metrics collected between 2000 and 2022 across the United States at ~12,000 locations from ~19,000 data collection events for a total of ~200,000 measurements. Measurements include reach characteristics (sampled reach length, channel gradient, sinuosity), channel dimensions (bankfull width and height, average bankfull width to depth ratio, mean thalweg depth, average wetted width), channel substrate particle sizes (percent fines, percent bedrock, fine sediment percentiles), pools (residual pool depth, pool tail fines), bank characterizations (angle), and water quality/chemistry (specific conductance, pH, specific conductance, turbidity, total nitrogen, total phosphorous). The dataset consists of 4 csv files: 'RecordLevel.csv', 'Location.csv', 'Event.csv', and 'MeasurementOrFact.csv'. The 4 csv data tables may be linked in a database structure using the 'entity relationship diagram.jpg' or by linking the following: Join RecordLevel primary key 'datasetID' to Location foreign key 'datasetID'. Join Location primary key 'locationID to Event foreign key 'locationID'. Join Event primary key 'eventID' to MeasurementOrFact foreign key 'eventID'. An analysis-ready file ('AnalysisStreamHabitatMonitoringMetricDataset.csv') is also published for user convenience.

Wadeable stream habitat data from four long-term monitoring programs (AIM, AREMP, NRSA, PIBO MP) were obtained, pre-processed, transformed, and combined using R code following the Stream Habitat Metrics Integration (SHMI) Data Exchange Standard (Scully et al., 2023b). The dataset includes 26 stream habitat metrics collected between 2000 and 2022 across the United States at ~12,000 locations from ~19,000 data collection events for a total of ~200,000 measurements. Measurements include reach characteristics (sampled reach length, channel gradient, sinuosity), channel dimensions (bankfull width and height, average bankfull width to depth ratio, mean thalweg depth, average wetted width), channel substrate particle sizes (percent fines, percent bedrock, fine sediment percentiles), pools (residual pool depth, pool tail fines), bank characterizations (angle), and water quality/chemistry (specific conductance, pH, specific conductance, turbidity, total nitrogen, total phosphorous). The dataset consists of 4 csv files: 'RecordLevel.csv', 'Location.csv', 'Event.csv', and 'MeasurementOrFact.csv'. The 4 csv data tables may be linked in a database structure using the 'entity relationship diagram.jpg' or by linking the following: Join RecordLevel primary key 'datasetID' to Location foreign key 'datasetID'. Join Location primary key 'locationID to Event foreign key 'locationID'. Join Event primary key 'eventID' to MeasurementOrFact foreign key 'eventID'. An analysis-ready file ('AnalysisStreamHabitatMonitoringMetricDataset.csv') is also published for user convenience.

Wadeable stream habitat data from four long-term monitoring programs (AIM, AREMP, NRSA, PIBO MP) were obtained, pre-processed, transformed, and combined using R code following the Stream Habitat Metrics Integration (SHMI) Data Exchange Standard (Scully et al., 2023b). The dataset includes 26 stream habitat metrics collected between 2000 and 2022 across the United States at ~12,000 locations from ~19,000 data collection events for a total of ~200,000 measurements. Measurements include reach characteristics (sampled reach length, channel gradient, sinuosity), channel dimensions (bankfull width and height, average bankfull width to depth ratio, mean thalweg depth, average wetted width), channel substrate particle sizes (percent fines, percent bedrock, fine sediment percentiles), pools (residual pool depth, pool tail fines), bank characterizations (angle), and water quality/chemistry (specific conductance, pH, specific conductance, turbidity, total nitrogen, total phosphorous). The dataset consists of 4 csv files: 'RecordLevel.csv', 'Location.csv', 'Event.csv', and 'MeasurementOrFact.csv'. The 4 csv data tables may be linked in a database structure using the 'entity relationship diagram.jpg' or by linking the following: Join RecordLevel primary key 'datasetID' to Location foreign key 'datasetID'. Join Location primary key 'locationID to Event foreign key 'locationID'. Join Event primary key 'eventID' to MeasurementOrFact foreign key 'eventID'. An analysis-ready file ('AnalysisStreamHabitatMonitoringMetricDataset.csv') is also published for user convenience.