Stream segments, aquatic organism captures, stream surveys, and road-stream crossings described by these metadata accompany a 2012 electrofishing study of the distribution and abundance of aquatic organisms (fish, lampreys, amphibians and crayfish), conducted by the U.S. Geological Survey, and the Pacific Northwest Region Aquatic and Riparian Ecosystem Monitoring Project (AREMP) of the U.S. Forest Service, in the Siuslaw National Forest in western Oregon, USA. The purpose of the study was to quantify the effectiveness of stream-road crossing restoration (culvert replacement to the stream simulation standard) in terms of numbers of fish and length of stream gained through restoration, and to quantify the continuing effects of replaced and non-replaced crossings on the probability of passage by aquatic organisms compared to stream reaches having no road crossing. The sampling design is nested in several ways; sampled stream segments (30-m electrofishing plots) were selected in a spatially balanced random sample within stream networks (contiguous spatial collections of segments within 2 km of a study culvert or road crossing). Networks themselves were randomly sampled for study from the 79 networks in the scope of inference with probability proportional to the length of stream suitable for sampling [< 25% average gradient, < 10 km2 in drainage area, and > 0.283 l.s-1 (0.01 cubic feet per second) in mean annual discharge]. The scope of inference was defined as stream within 2 km of a study crossing (303 stream-road crossings identified as potentially important to salmon and trout based on channel slope, valley bottom morphology, and stream size). At sampled segments electrofishing was used to capture aquatic organisms for identification, counting, and at a sub-sample of sites marking for capture-recapture study. Recapture passes were conducted two days after the initial electrofishing pass.

Stream segments, aquatic organism captures, stream surveys, and road-stream crossings described by these metadata accompany a 2012 electrofishing study of the distribution and abundance of aquatic organisms (fish, lampreys, amphibians and crayfish), conducted by the U.S. Geological Survey, and the Pacific Northwest Region Aquatic and Riparian Ecosystem Monitoring Project (AREMP) of the U.S. Forest Service, in the Siuslaw National Forest in western Oregon, USA. The purpose of the study was to quantify the effectiveness of stream-road crossing restoration (culvert replacement to the stream simulation standard) in terms of numbers of fish and length of stream gained through restoration, and to quantify the continuing effects of replaced and non-replaced crossings on the probability of passage by aquatic organisms compared to stream reaches having no road crossing. The sampling design is nested in several ways; sampled stream segments (30-m electrofishing plots) were selected in a spatially balanced random sample within stream networks (contiguous spatial collections of segments within 2 km of a study culvert or road crossing). Networks themselves were randomly sampled for study from the 79 networks in the scope of inference with probability proportional to the length of stream suitable for sampling [< 25% average gradient, < 10 km2 in drainage area, and > 0.283 l.s-1 (0.01 cubic feet per second) in mean annual discharge]. The scope of inference was defined as stream within 2 km of a study crossing (303 stream-road crossings identified as potentially important to salmon and trout based on channel slope, valley bottom morphology, and stream size). At sampled segments electrofishing was used to capture aquatic organisms for identification, counting, and at a sub-sample of sites marking for capture-recapture study. Recapture passes were conducted two days after the initial electrofishing pass.

Vermont List of Priority Surface Waters outside CWA Section 303(d) is divided in to 4 parts; Parts B, D, E and F. The four-part list has managed by the Vermont Department of Environmental Conservation (VT DEC) in accordance with the Vermont Surface Water Assessment and Listing Methodology. Each part is considered to be outside the scope of Clean Water Act Section 303(d). PART B. IMPAIRED SURFACE WATERS - NO TOTAL MAXIMUM DAILY LOAD DETERMINATION REQUIRED - all waters listed in Part B are assessed as impaired and do not require development of a TMDL as described in 40 CFR 130.7. Section 303d of the Federal Clean Water Act does not govern these waters. Impaired waters that do not need a TMDL are those where other pollution control requirements (such as best management practices) required by local, state or federal authority are expected to address all water-pollutant combinations and the Water Quality Standards are expected to be attained in a reasonable period of time. These waters correspond to Category 4b of EPA's Consolidated Assessment Listing Methodology. PART D. SURFACE WATERS WITH COMPLETED AND APPROVED TMDLs - all waters identified on Part D have appeared on a previous version of the Part A-303d List and also have completed and approved TMDLs in place. If future assessments show the impairment has been eliminated, the waters will remain on Part D as a means of TMDL tracking, however, the current assessment status of the water will be noted. These waters correspond to Category 4a of EPA's Consolidated Assessment Listing Methodology. PART E. SURFACE WATERS ALTERED BY EXOTIC SPECIES - waters appearing in Part E are assessed as altered. They represent situations to be given priority for management where aquatic habitat and/or other designated uses have been altered to the extent that one or more designated uses are not supported due to the presence of exotic aquatic species. This list currently includes waters altered by the proliferation of Eurasian watermilfoil, water chestnut, zebra mussels or the presence of alewives. These waters correspond to Category 4c of EPA's Consolidated Assessment Listing Methodology. PART F. SURFACE WATERS ALTERED BY FLOW REGULATION - waters appearing in Part F of the Vermont Priority Waters List are assessed as altered. They represent priority management situations where aquatic habitat and/or other designated uses have been altered by flow regulation to the extent that one or more designated uses are not supported. Alterations arise from flow fluctuation, obstructions, or other manipulations of water levels that originate from hydroelectric facilities or other dam operations or from water withdrawals for industrial or municipal water supply or snowmaking purposes. These waters correspond to Category 4c of EPA's Consolidated Assessment Listing Methodology.�

This dataset provides USFS watershed improvement activities to barriers to upstream migration. This includes improving existing passage structures or removing them entirely. Structures include culverts, dams, diversion dams. Also included are where structures have been added to purposely create barriers to protect native populations from invasive species. Data include the planned fiscal year and planned cost, the completed fiscal year, approximate completed cost, and partners involved. Each AOP activity is displayed as a single point.,

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.