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.

In 2022, stream reaches at Congaree National Park (CONG) were surveyed following the methods outlined in Monitoring Wadeable Stream Habitat Conditions in Southeast Coast Network Parks (McDonald et al. 2018). On each stream reach, data were collected to provide an understanding of reach- and transect-scale geomorphology and benthic habitat characteristics. In 2021, stream reaches at Chattahoochee River National Recreation Area (CHAT) were surveyed following the same methods (McDonald et al. 2018). In 2019, stream reaches at Horseshoe Bend National Military Park (HOBE), Kennesaw Mountain National Battlefield (KEMO), and Ocmulgee Mounds National Historical Park (OCMU) were surveyed following the same methods (McDonald et al. 2018). In 2018, stream reaches at Congaree National Park (CONG) were surveyed following the same methods (McDonald et al. 2018). In 2017, stream reaches at Chattahoochee River National Recreation Area (CHAT), Kennesaw Mountain National Battlefield (KEMO), and Ocmulgee National Monument (OCMU) were surveyed following the same methods (McDonald et al. 2018). McDonald JM and Others. 2018. Monitoring wadeable stream habitat conditions in Southeast Coast Network parks: Protocol narrative. Natural Resource Report. NPS/SECN/NRR—2018/1715. National Park Service. Fort Collins, Colorado https://irma.nps.gov/DataStore/Reference/Profile/2254874

These data from Evaluation and Review of Ecology-Focused Stream Studies to Support Cooperative Monitoring, Fountain Creek Basin, Colorado were used to describe temporal trends in fish communities in the basin. Fish data were collected at U.S. Geological Survey (USGS) sites between 2003 and 2022. Datasets include fish frequency of occurrence, flathead chub catch per unit of effort, and a list of fish species collected.

These data from Evaluation and Review of Ecology-Focused Stream Studies to Support Cooperative Monitoring, Fountain Creek Basin, Colorado were used to describe temporal trends in fish communities in the basin. Fish data were collected at U.S. Geological Survey (USGS) sites between 2003 and 2022. Datasets include fish frequency of occurrence, flathead chub catch per unit of effort, and a list of fish species collected.

This package contains data collected by the Southeast Coast Network (SECN), a part of the Inventory and Monitoring Division (IMD) of the National Park Service (NPS). Data was collected under the Wadeable Stream Habitat Monitoring Protocol (McDonald et al. 2018) during the year 2023. Wadeable stream habitat monitoring surveys were conducted on two stream reaches at Kennesaw Mountain National Battlefield Park (KEMO), one stream reach at Horseshoe Bend National Military Park (HOBE), and one stream reach at Ocmulgee Mounds National Historical Park (OCMU). The data contained within describe geomorphic and habitat conditions observed within the monitored stream reaches at the time of the surveys. The geomorphic dimensions (cross-sectional morphology, channel widths, bank heights, bank angles, bank vegetative cover, and reach slope and sinuosity) of the selected stream reaches are measured to understand the natural range of variability of similar sized streams within and between the park units. Understanding the variability in channel morphology between study reaches will determine which reaches are being negatively impacted by upstream land use and land cover and provide an understanding of long-term trajectories of change along each stream reach. The habitat data provide an understanding of the habitats that are available for colonization by benthic invertebrates within each stream reach. Habitat measures selected for this protocol focus on inventorying large woody debris and bed sediment within each reach. These components of habitat have been shown to be highly influential in the distribution and character of biota within a stream. These data will also facilitate future complementary studies that can focus on the other physical factors (e.g., current, temperature, and oxygen) that influence biotic assemblages.

This package contains data collected by the Southeast Coast Network (SECN), a part of the Inventory and Monitoring Division (IMD) of the National Park Service (NPS). Data was collected under the Wadeable Stream Habitat Monitoring Protocol (McDonald et al. 2018) during the year 2023. Wadeable stream habitat monitoring surveys were conducted on two stream reaches at Kennesaw Mountain National Battlefield Park (KEMO), one stream reach at Horseshoe Bend National Military Park (HOBE), and one stream reach at Ocmulgee Mounds National Historical Park (OCMU). The data contained within describe geomorphic and habitat conditions observed within the monitored stream reaches at the time of the surveys. The geomorphic dimensions (cross-sectional morphology, channel widths, bank heights, bank angles, bank vegetative cover, and reach slope and sinuosity) of the selected stream reaches are measured to understand the natural range of variability of similar sized streams within and between the park units. Understanding the variability in channel morphology between study reaches will determine which reaches are being negatively impacted by upstream land use and land cover and provide an understanding of long-term trajectories of change along each stream reach. The habitat data provide an understanding of the habitats that are available for colonization by benthic invertebrates within each stream reach. Habitat measures selected for this protocol focus on inventorying large woody debris and bed sediment within each reach. These components of habitat have been shown to be highly influential in the distribution and character of biota within a stream. These data will also facilitate future complementary studies that can focus on the other physical factors (e.g., current, temperature, and oxygen) that influence biotic assemblages.

This dataset represents water input, measured as km2/cm: Ratio of the total area of irrigated land to precipitation within individual, local NHDPlusV2 catchments and upstream, contributing watersheds.

This dataset represents the canal density within individual, local NHDPlusV2 catchments and upstream, contributing watersheds. Attributes of the landscape layer were calculated for every local NHDPlusV2 catchment and accumulated to provide watershed-level metrics. This data set is derived from NHDPlusV2 line features classified as canal, ditch, or pipeline in the conterminous United States. Canal density describes how many kilometers of canal exist in a square kilometer. A raster was produced using the ArcGIS Line Density Tool to form the landscape layer for analysis. The (kilometer of canal/square kilometer) was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.

,This dataset represents water quality data collected from ditch and streams in a Minnesota Agricultural Watershed, High Island Creek. Data were collected from an inflatable raft with high spatial resolution resulting in water quality maps for selected portions of the watershed. These data were interpreted within the ecological context of spatial leverage to characterize watershed influences on nitrogen and carbon transport or removal from the stream. These data were used to prepare a manuscript for publication in the journal: Water Resources Research. The abstract and plain language summary from that paper is copied below.,Abstract,Many agricultural landscapes have undergone significant modifications to drain farmland and improve crop productivity. Subsurface field drainage, ditching and channelization of streams limit opportunities for biogeochemical processing of carbon and nutrients within the channel network. In this study, we used spatially rich water quality data collected from two contrasting regions of an agricultural watershed in south-central Minnesota, USA to assess how watershed features, such as channelization, tile drainage, and presence of lakes or wetlands, influence biogeochemical processing of nitrate (NO3-) and dissolved organic carbon (DOC). In the channelized upstream region, land use is predominantly agricultural (> 92%) with subsurface tile drainage commonly discharging directly to the stream channel. Further downstream, the channel is more natural with increasing lakes and wetlands, including riparian wetlands. We used the concept of reach leverage to interpret biogeochemical behavior (i.e., source vs. sink) in each region of the watershed. Results indicate variability in biogeochemical behavior between the distinct watershed regions, suggesting that channel characteristics and the presence of lentic waters play a role in regulating biogeochemical processing. The upstream, channelized region acts primarily as a conservative transporter or small source of both NO3- and DOC across sampling dates. In contrast, the lentic-influenced region exhibited shifts between source and sink behavior over time, especially for NO3-, influenced by factors such as hydrologic connectivity and discharge. These findings highlight the value of collecting spatially resolved data to enhance our understanding of biogeochemical processing which may be useful to inform effective management and conservation strategies.,Plain Language Summary,Many farmlands have been altered to drain water and increase crop production. These changes often involve straightening natural stream channels, which reduces their ability to use nutrients and carbon. In this study, we collected detailed water quality data from two different areas of an agricultural watershed in south-central Minnesota to see how features like straightened channels, drainage systems, and the presence of lakes or wetlands affect the processing of nitrate (NO3-) and dissolved organic carbon (DOC). The upstream area is mostly farmland with drainage systems that empty directly into the stream, while the downstream area has more lakes and wetlands, creating a more natural stream environment. We used a method called reach leverage to understand whether areas of the watershed were sources of NO3- and DOC, or if they removed them. Our results showed differences in nutrient processing between the two areas. The upstream, straightened region mainly transported or slightly increased NO3- and DOC, while the downstream, wetland-rich region alternated between acting as a source and a sink for NO3- depending on water flow and other factors. These findings highlight the importance of collecting detailed, location-specific data to understand nutrient processing and for developing better land and water management strategies.,,