These are cost tables associated with the Neosho river, White river, and Current river drainages located on the border of Missouri, Arkansas, and Oklahoma. All of these watersheds drain directly into neighboring states and are not directly connected to other watersheds in the state of Missouri. This represents 20 of the total 109 cost tables. These data are intended to to be used in the Missouri Stream Conservation and Connectivity Prioritization Tool and are not suitable stand-alone products outside of the context of the application. Cost tables are saved by origin stream priority geographies. Metadata in support of the cost tables is located in the cost table data dictionary (A_DataDictionary_CostTableFields.csv). A list of all files located on this page can be found in the file list (A_DataDictionary_FileList_ChildItem.csv) and a list of all fields and a list of all navigation file fields and their descriptions can be found in the navigation fields file (A_DataDictionary_NavigationFileFields.csv).

The Missouri Stream Conservation and Connectivity Prioritization Tool contains data tabulating costs to traverse between 10,357 origin and 50,135 destination stream reaches throughout the Central Plains and Ozarks aquatic subregions in Missouri. These data are intended to be used in the Missouri Stream Conservation and Connectivity Prioritization Tool and are not suitable stand-alone products outside of the context of the application. Cost tables listed here include watersheds that are directly connected to other watersheds within the state of Missouri and generally represent the northern 66% of the state. These watersheds are grouped together because they represent a continuous network of streams within the state. This represents 89 of the total 109 cost tables. Additional support files include a list of files provided on this landing page (A_DataDictionary_FileList_ParentItem.csv); a description of navigation files and their fields (A_DataDictionary_NavigationFileFields.csv), a description of cost table fields (A_DataDictionary_CostTableFields.csv), and a list of Missouri fish species and associated functional ecology (B_Species_List_AUTECOLOGY_2_FishGroups_DataRelease.csv).

The Missouri Stream Conservation and Connectivity Prioritization Tool contains data tabulating costs to traverse between 10,357 origin and 50,135 destination stream reaches throughout the Central Plains and Ozarks aquatic subregions in Missouri. These data are intended to be used in the Missouri Stream Conservation and Connectivity Prioritization Tool and are not suitable stand-alone products outside of the context of the application. Cost tables listed here include watersheds that are directly connected to other watersheds within the state of Missouri and generally represent the northern 66% of the state. These watersheds are grouped together because they represent a continuous network of streams within the state. This represents 89 of the total 109 cost tables. Additional support files include a list of files provided on this landing page (A_DataDictionary_FileList_ParentItem.csv); a description of navigation files and their fields (A_DataDictionary_NavigationFileFields.csv), a description of cost table fields (A_DataDictionary_CostTableFields.csv), and a list of Missouri fish species and associated functional ecology (B_Species_List_AUTECOLOGY_2_FishGroups_DataRelease.csv).

The Missouri Stream Conservation and Connectivity Prioritization Tool contains data tabulating costs to traverse between 10,357 origin and 50,135 destination stream reaches throughout the Central Plains and Ozarks aquatic subregions in Missouri. Below are links to data associated with the more northern drainages and also the southern drainages. These data are intended to be used in the Missouri Stream Conservation and Connectivity Prioritization Tool and are not suitable stand-alone products outside of the context of the application.

As part of the U.S. Geological Survey's (USGS) National Water-Quality Assessment Program (NAWQA), an investigation of the Missouri River Basin is being conducted to document trends in surface-water quality, specifically for trends in nutrients and suspended sediment. Surface-water samples were collected from streams at specific sampling stations. Water-quality characteristics at each station are influenced by the natural and cultural characteristics of the drainage area upstream from the sampling station. Efficient quantification of the drainage area characteristics requires a digital map of the drainage area boundary that may be processed, together with other digital thematic maps (such as geology or land use), in a geographic information system (GIS). Digital drainage-area boundary data for one stream-sampling station in the Missouri River Basin (MRB4) study area is included in this data release. The drainage divides were identified chiefly using 1:24,000-scale hypsography.

As part of the U.S. Geological Survey's (USGS) National Water-Quality Assessment Program (NAWQA), an investigation of the Missouri River Basin is being conducted to document trends in surface-water quality, specifically for trends in nutrients and suspended sediment. Surface-water samples were collected from streams at specific sampling stations. Water-quality characteristics at each station are influenced by the natural and cultural characteristics of the drainage area upstream from the sampling station. Efficient quantification of the drainage area characteristics requires a digital map of the drainage area boundary that may be processed, together with other digital thematic maps (such as geology or land use), in a geographic information system (GIS). Digital drainage-area boundary data for one stream-sampling station in the Missouri River Basin (MRB4) study area is included in this data release. The drainage divides were identified chiefly using 1:24,000-scale hypsography.

This tabular data set represents base flow index (BFI) compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is the "Base-flow index grid for the conterminous United States" produced by the United States Geological Survey (Wolock, 2003). Units are percent. Base flow is the component of streamflow that can be attributed to ground-water discharge into streams. The BFI is the ratio of base flow to total flow, expressed as a percentage. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).

This tabular data set represents base flow index (BFI) compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is the "Base-flow index grid for the conterminous United States" produced by the United States Geological Survey (Wolock, 2003). Units are percent. Base flow is the component of streamflow that can be attributed to ground-water discharge into streams. The BFI is the ratio of base flow to total flow, expressed as a percentage. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).

In 2013, the first of several Regional Stream Quality Assessments (RSQA) was done in the Midwest United States. The Midwest Stream Quality Assessment (MSQA) was a collaborative study by the U.S. Geological Survey (USGS) National Water Quality Assessment (NAWQA), the USGS Columbia Environmental Research Center, and the U.S. Environmental Protection Agency (USEPA) National Rivers and Streams Assessment (NRSA). One of the objectives of the RSQA, and thus the MSQA, is to characterize the relationships between water-quality stressors and stream ecology and to determine the relative effects of these stressors on aquatic biota within the streams (U.S. Geological Survey, 2012). To meet this objective, a framework of fundamental geospatial data was required to develop physical and anthropogenic characteristics of the study region, sampled sites and corresponding watersheds, and riparian zones. The riparian-zone boundaries were created from stream centerlines digitized from imagery (hereinafter the "digitized riparian reach") that were buffered by 50 meters on each side of the stream centerline. The length of the digitized riparian reach was calculated as the distance in kilometers equal to the base-10 logarithm of the geospatially-derived watershed area, in kilometers squared (Johnson and Zelt, 2005). This dataset represents the riparian zones in the MSQA, and is one of the four fundamental geospatial data layers that were developed for the Midwest study.

This tabular data set represents the percent of land cover classes from the 2011 National Land Cover Dataset compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is the "National Land Cover Database 2011" produced by the United States Geological Survey (Homer and others, 2011). Units are percent. The "National Land Cover Database 2011" (NLCD 2011) is a 16-class (additional four classes in Alaska only) land cover classification scheme that has been applied consistently across all 50 United States and Puerto Rico at a spatial resolution of 30 meters. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).