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Folders: ROOT > ScienceBase Catalog > Chesapeake Stream Team > 1. Shenandoah Valley and Ridge pasture ( Show direct descendants )
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ROOT _ScienceBase Catalog __Chesapeake Stream Team ___1. Shenandoah Valley and Ridge pasture Filters
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The data presented in this data release includes 11 field/water quality parameters, concentrations of 16 nutrients/anions, dissolved organic carbon, 14 organic contaminants, net estrogenicity concentrations, and 51 inorganic constituents in surface water collected twice from 28 stream sites and collected once from 2 stream sites in the Shenandoah Valley (Virginia and West Virginia, USA), in the summer of 2021 (Table_1_Sites and Table_2_Methods). The estrogenicity, inorganic, and organic chemical characteristics of river waters were analyzed using 19 separate analytical methods at 5 laboratories (Table_2_Methods). Surface water was analyzed for water quality and nutrients (Table_3_WQ_Nutrients_Anions_DOC), toxic...
From 16 June to 30 July, 2021, a Virginia Tech team of 4-6 sampled the fish community in 30 Shenandoah Valley streams (Virginia and West Virginia, USA) as part of a larger stream-health study including other teams who surveyed geomorphology, water quality, flow, temperature, macroinvertebrates, and fish health at the same 30 streams. The fish community team also sampled three additional bonus streams (SiteID's FOLL, NAKE, and TUMB) during 19-22 August, 2021. These 33 streams had upstream drainage areas of 7 to 46 sq. km and included 4 James River tributaries (SiteID's POAG, MLRB, CEDR, PISG), one Potomac River tributary (HARL), and 28 Shenandoah River tributaries. At each stream, we sampled fish from two reaches...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Augusta,
Berkeley,
Clarke,
Ecology,
Jefferson,
U. S. Geological Survey (USGS) scientists completed a data collection campaign from the 26th of June to the 13th of August in 2021, using various methods to record geomorphic and habitat indicators throughout streams in the Shenandoah Valley. Field methods included GNSS surveys, gravelometer-based pebble count readings, visual assessments, and riparian analyses. This metadata record contains all raw observations from the campaign as well as numerous summary metrics to be used in model development. Those "model-ready" data can be found in Shenandoah_Model_Deliverable.csv in the parent item, while the two child items containing raw in-channel observations and raw survey data. Attached to this release is a data dictionary...
Categories: Data;
Tags: Chesapeake Bay,
Chesapeake Bay,
GPS measurement,
Shenandoah Valley,
U.S. Geological Survey,
This data release contains summary metrics describing stream stage, stream water temperature, and short-term climate conditions (daily precipitation and air temperature) for 30 streams spanning gradients of forest and pasture land uses and agricultural best management practice implementation in the Shenandoah Valley region of Virginia and West Virginia, USA. This setting is the first of four settings or "typologies" that will be assessed for the USGS Chesapeake Stream Team project. High-frequency stage and water temperature (5-minute data), and air temperature (30-minute data) were measured by the U.S. Geological Survey (USGS) from May 2021 to December 2021 and are available on the USGS National Water Information...
Categories: Data;
Tags: Aquatic Biology,
Chesapeake Bay watershed,
Ecology,
Hydrology,
Land Use Change,
From 20 May - 8 June 2021, a Virginia Tech team of 2-3 sampled the macroinvertebrate community in 30 Shenandoah Valley streams (Virginia and West Virginia, USA) as part of a larger stream-health study including other teams who surveyed geomorphology, water quality, flow, temperature,fish community, and fish health at the same 30 streams. The macroinvertebrate community team also characterized the habitat units sampled for macroinvertebrates. At each stream, we sampled macroinvertebrates in two ways:1) in each stream we took 5 slack samples in riffles according to NAWQA protocol, and 2) we selected the most available and productive habitat where we used the Slack sampler to collect 5 additional samples in wood debris...
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