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.

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).

This data set provides the results of a conservation prioritization analysis for wadeable streams in Missouri, USA. Higher values (Maximum of 1) represent higher conservation value. Conservation values were derived using Zonation conservation planning software which used species distribution models, a prioritization algorithm (either Core-Area or Additive Benefit), species weighting (None, Vulnerability, or Listing Status), connecitivity (Yes or No), and masks representing different conservation networks (None, Priority Watersheds, Conservation Opportunity Areas, and Existing Conservation Network). For more information see "An Assessment of Stream Fish Vulnerability and an Evaluation of Conservation Networks in Missouri" by Nicholas Sievert, 2014, University of Missouri-Columbia, Thesis.

This data set provides the results of a conservation prioritization analysis for wadeable streams in Missouri, USA. Higher values (Maximum of 1) represent higher conservation value. Conservation values were derived using Zonation conservation planning software which used species distribution models, a prioritization algorithm (either Core-Area or Additive Benefit), species weighting (None, Vulnerability, or Listing Status), connecitivity (Yes or No), and masks representing different conservation networks (None, Priority Watersheds, Conservation Opportunity Areas, and Existing Conservation Network). For more information see "An Assessment of Stream Fish Vulnerability and an Evaluation of Conservation Networks in Missouri" by Nicholas Sievert, 2014, University of Missouri-Columbia, Thesis.

The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. These data have been used to create a variety of products, one of which is a data set used to classify aquatic areas. The 2020 aquatic areas data sets were created by first generalizing the available land cover/use data into a land/water data set, then reinterpreting the areas classified as water to determine the type of aquatic area. Area coverage for this data set is the Upper Mississippi River between Minneapolis, MN and Cairo, IL, and the Illinois River from its confluence with the Mississippi to Joliet, IL.

Degradation of streams and associated riparian habitat across the Missouri River Headwaters Basin has motivated several stream restoration projects across the watershed. Many of these projects install a series of beaver dam analogues (BDAs) to aggrade incised streams, elevate local water tables, and create natural surface water storage by reconnecting streams with their floodplains. Satellite imagery can provide a spatially continuous mechanism to monitor the effects of these in-stream structures on stream surface area. However, remote sensing-based approaches to map narrow (e.g., <5 m wide) linear features such as streams have been under-developed relative to efforts to map other types of aquatic systems, such as wetlands or lakes. We mapped pre- and post-restoration (one to three years post-restoration) stream surface area and riparian greenness at four stream restoration sites using Worldview-2 and 3 images as well as a QuickBird-2 image. We found that panchromatic brightness and eCognition-based outputs (0.5 m resolution) provided high-accuracy maps of stream surface area (overall accuracy ranged from 91% to 99%) for streams as narrow as 1.5 m wide. Using image pairs, we were able to document increases in stream surface area immediately upstream of BDAs as well as increases in stream surface area along the restoration reach at Robb Creek, Alkali Creek and Long Creek (South). Although Long Creek (North) did not show a net increase in stream surface area along the restoration reach, we did observe an increase in riparian greenness, suggesting increased water retention adjacent to the stream. As high-resolution imagery becomes more widely collected and available, improvements in our ability to provide spatially continuous monitoring of stream systems can effectively complement more traditional field-based and gage-based datasets to inform watershed management.

This produced dataset includes spatially aggregated records of measurements and observations from public and private organizations across the Upper Missouri River Basin. For this dataset the Upper Missouri River Basin is defined as Hydrologic Unit Code 1002-1013, and includes portions of the states of Montana, Wyoming, North Dakota, and South Dakota. Streamflow observations, defined as this dataset as the identification of flowing, dry, or pooled streamflow conditions, are an essential part of understanding the relationship between streamflow permanence and climatic and physical factors. For the purpose of this investigation, all streamflow observations were identified as perennial, non-perennial, or pooled to be used in the PROSPER (PRObability of Streamflow PERmanence) model.

The U.S. Geological Survey (USGS), in cooperation with the Missouri Department of Natural Resources (MDNR), collects data pertaining to the surface-water resources of Missouri. These data are collected as part of the Missouri Ambient Water-Quality Monitoring Network (AWQMN) and are stored and maintained by the USGS National Water Information System (NWIS) database. These data constitute a valuable source of reliable, impartial, and timely information for developing an improved understanding of the water resources of the State. Water-quality data collected between water years 1993 and 2017 were analyzed for long term trends and the network was investigated to identify data gaps or redundant data to assist MDNR on how to optimize the network in the future. This is a companion data release product to the Scientific Investigation Report: Richards, J.M., and Barr, M.N., 2021, General water-quality conditions, long-term trends, and network analysis at selected sites within the Ambient Water-Quality Monitoring Network in Missouri, water years 1993–2017: U.S. Geological Survey Scientific Investigations Report 2021–5079, 75 p., https://doi.org/10.3133/sir20215079. The following selected tables are included in this data release in compressed (.zip) format: AWQMN_EGRET_data.xlsx -- Data retrieved from the USGS National Water Information System database that was quality assured and conditioned for network analysis of the Missouri Ambient Water-Quality Monitoring Network AWQMN_R-QWTREND_data.xlsx -- Data retrieved from the USGS National Water Information System database that was quality assured and conditioned for analysis of flow-weighted trends for selected sites in the Missouri Ambient Water-Quality Monitoring Network AWQMN_R-QWTREND_outliers.xlsx -- Data flagged as outliers during analysis of flow-weighted trends for selected sites in the Missouri Ambient Water-Quality Monitoring Network AWQMN_R-QWTREND_outliers_quarterly.xlsx -- Data flagged as outliers during analysis of flow-weighted trends using a simulated quarterly sampling frequency dataset for selected sites in the Missouri Ambient Water-Quality Monitoring Network AWQMN_descriptive_statistics_WY1993-2017.xlsx -- Descriptive statistics for selected water-quality parameters at selected sites in the Missouri Ambient Water-Quality Monitoring Network The following selected graphics are included in this data release in .pdf format. Also included in this data release are web pages accessible for people with disabilities provided in compressed .zip format. The web pages present the same information as the .pdf files: Annual and seasonal discharge trends.pdf -- Graphics of discharge trends produced from the EGRET software for selected sites in the Missouri Ambient Water-Quality Monitoring Network. Graphics provided to support the interpretations in the Scientific Investigations Report. Annual_and_seasonal_discharge_trends_htm.zip -- Compressed web page presenting graphics of discharge trends produced from the EGRET software for selected sites in the Missouri Ambient Water-Quality Monitoring Network. Graphics provided to support the interpretations in the Scientific Investigations Report. Graphics of simulated quarterly sampling frequency trends.pdf -- Graphics of results of simulated quarterly sampling frequency trends produced by the R-QWTREND software at selected sites in the Missouri Ambient Water-Quality Monitoring Network. Graphics provided to support the interpretations in the Scientific Investigations Report. Graphics_of_simulated_quarterly_sampling_frequency_trends_htm.zip -- Compressed web page presenting graphics of results of simulated quarterly sampling frequency trends produced by the R-QWTREND software at selected sites in the Missouri Ambient Water-Quality Monitoring Network. Graphics provided to support the interpretations in the Scientific Investigations Report. Graphics of median parameter values.pdf -- Graphics of median values for selected parameters at selected

The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. These data have been used to create a variety of products, one of which is a data set used to classify aquatic areas. The 2020 aquatic areas data sets were created by first generalizing the available land cover/use data into a land/water data set, then reinterpreting the areas classified as water to determine the type of aquatic area. Area coverage for this data set is the Upper Mississippi River between Minneapolis, MN and Cairo, IL, and the Illinois River from its confluence with the Mississippi to Joliet, IL.