Scanned images of hand written Invasive Aquatic Plant Screening Survey forms and maps. Organized by year. 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.

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.

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.

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.

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).

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).

This data package contains North Coast and Cascades Network (NCCN) Inventory and Monitoring Program discrete water quality monitoring tabular data collected during 2011-2021 at Ebey's Landing National Historic Reserve (EBLA), Lewis and Clark National Historical Park (LEWI), Mount Rainier National Park (MORA), North Cascades National Park (NOCA), and Olympic National Park (OLYM). The protocol, publications, and all other associated links can be found in the project reference at: https://irma.nps.gov/DataStore/Reference/Profile/2195538. The abundance of rivers and streams is a key characteristic of the NCCN. Ninety-four percent of NCCN is federally-designated wilderness and contains some of the most pristine aquatic habitats in the Pacific Northwest. The prevalence of these resources makes water quality a high ecological and management priority. Rivers and streams integrate the physical, chemical, and biological characteristics of the watersheds they drain. This puts them at increased risk to a variety of environmental stressors including atmospheric pollution, flow regime changes, and localized disturbances related to land management activities and recreational use. To address risks from a variety of stressors to these systems, the NCCN developed a Water Quality Monitoring Program and protocol that is focused on monitoring the wadable streams that are the most at risk for water quality impairment. Data within this package include sampling locations and event conditions, physical habitat and channel characteristics, human influence descriptors, invasive species observations, and water chemistry parameters. The associated continuous temperature data can be found in the NPS-hosted Aquarius database https://irma.nps.gov/aqwebportal.