Review



streams dataset  (MathWorks Inc)


Bioz Verified Symbol MathWorks Inc is a verified supplier  
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
  • 90

    Structured Review

    MathWorks Inc streams dataset
    Streams Dataset, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/streams dataset/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    streams dataset - by Bioz Stars, 2026-03
    90/100 stars

    Images



    Similar Products

    90
    geological survey network stream gage datasets
    River discharge characteristics for the <t> US Geological Survey </t> <t> (USGS) </t> gages used in the analysis. Summer (June, July and August) discharge was correlated with the summer normalized difference wetness index (NDWI) and spring snowfall (March–June) for the riparian reach adjacent to each gage, using the Spearman correlation. Temporal trends were quantified using the Mann–Kendall test for trends. Percentage discharge consumed and diverted is from the 2014 Water Plan ( DNRC, 2014 ). JJA: June, July and August. SON: September, October and November.
    Stream Gage Datasets, supplied by geological survey network, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/stream gage datasets/product/geological survey network
    Average 90 stars, based on 1 article reviews
    stream gage datasets - by Bioz Stars, 2026-03
    90/100 stars
      Buy from Supplier

    90
    Esri inc data from the detailed streams dataset
    River discharge characteristics for the <t> US Geological Survey </t> <t> (USGS) </t> gages used in the analysis. Summer (June, July and August) discharge was correlated with the summer normalized difference wetness index (NDWI) and spring snowfall (March–June) for the riparian reach adjacent to each gage, using the Spearman correlation. Temporal trends were quantified using the Mann–Kendall test for trends. Percentage discharge consumed and diverted is from the 2014 Water Plan ( DNRC, 2014 ). JJA: June, July and August. SON: September, October and November.
    Data From The Detailed Streams Dataset, supplied by Esri inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/data from the detailed streams dataset/product/Esri inc
    Average 90 stars, based on 1 article reviews
    data from the detailed streams dataset - by Bioz Stars, 2026-03
    90/100 stars
      Buy from Supplier

    90
    Esri inc national atlas of rivers and streams dataset
    River discharge characteristics for the <t> US Geological Survey </t> <t> (USGS) </t> gages used in the analysis. Summer (June, July and August) discharge was correlated with the summer normalized difference wetness index (NDWI) and spring snowfall (March–June) for the riparian reach adjacent to each gage, using the Spearman correlation. Temporal trends were quantified using the Mann–Kendall test for trends. Percentage discharge consumed and diverted is from the 2014 Water Plan ( DNRC, 2014 ). JJA: June, July and August. SON: September, October and November.
    National Atlas Of Rivers And Streams Dataset, supplied by Esri inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/national atlas of rivers and streams dataset/product/Esri inc
    Average 90 stars, based on 1 article reviews
    national atlas of rivers and streams dataset - by Bioz Stars, 2026-03
    90/100 stars
      Buy from Supplier

    90
    Esri inc spatial stream network dataset
    River discharge characteristics for the <t> US Geological Survey </t> <t> (USGS) </t> gages used in the analysis. Summer (June, July and August) discharge was correlated with the summer normalized difference wetness index (NDWI) and spring snowfall (March–June) for the riparian reach adjacent to each gage, using the Spearman correlation. Temporal trends were quantified using the Mann–Kendall test for trends. Percentage discharge consumed and diverted is from the 2014 Water Plan ( DNRC, 2014 ). JJA: June, July and August. SON: September, October and November.
    Spatial Stream Network Dataset, supplied by Esri inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/spatial stream network dataset/product/Esri inc
    Average 90 stars, based on 1 article reviews
    spatial stream network dataset - by Bioz Stars, 2026-03
    90/100 stars
      Buy from Supplier

    90
    Horizon Systems Corporation stream catchment dataset
    River discharge characteristics for the <t> US Geological Survey </t> <t> (USGS) </t> gages used in the analysis. Summer (June, July and August) discharge was correlated with the summer normalized difference wetness index (NDWI) and spring snowfall (March–June) for the riparian reach adjacent to each gage, using the Spearman correlation. Temporal trends were quantified using the Mann–Kendall test for trends. Percentage discharge consumed and diverted is from the 2014 Water Plan ( DNRC, 2014 ). JJA: June, July and August. SON: September, October and November.
    Stream Catchment Dataset, supplied by Horizon Systems Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/stream catchment dataset/product/Horizon Systems Corporation
    Average 90 stars, based on 1 article reviews
    stream catchment dataset - by Bioz Stars, 2026-03
    90/100 stars
      Buy from Supplier

    90
    geological survey network national hydrography dataset high-resolution stream layer
    River discharge characteristics for the <t> US Geological Survey </t> <t> (USGS) </t> gages used in the analysis. Summer (June, July and August) discharge was correlated with the summer normalized difference wetness index (NDWI) and spring snowfall (March–June) for the riparian reach adjacent to each gage, using the Spearman correlation. Temporal trends were quantified using the Mann–Kendall test for trends. Percentage discharge consumed and diverted is from the 2014 Water Plan ( DNRC, 2014 ). JJA: June, July and August. SON: September, October and November.
    National Hydrography Dataset High Resolution Stream Layer, supplied by geological survey network, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/national hydrography dataset high-resolution stream layer/product/geological survey network
    Average 90 stars, based on 1 article reviews
    national hydrography dataset high-resolution stream layer - by Bioz Stars, 2026-03
    90/100 stars
      Buy from Supplier

    90
    MathWorks Inc streams dataset
    River discharge characteristics for the <t> US Geological Survey </t> <t> (USGS) </t> gages used in the analysis. Summer (June, July and August) discharge was correlated with the summer normalized difference wetness index (NDWI) and spring snowfall (March–June) for the riparian reach adjacent to each gage, using the Spearman correlation. Temporal trends were quantified using the Mann–Kendall test for trends. Percentage discharge consumed and diverted is from the 2014 Water Plan ( DNRC, 2014 ). JJA: June, July and August. SON: September, October and November.
    Streams Dataset, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/streams dataset/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    streams dataset - by Bioz Stars, 2026-03
    90/100 stars
      Buy from Supplier

    Image Search Results


    River discharge characteristics for the  US Geological Survey   (USGS)  gages used in the analysis. Summer (June, July and August) discharge was correlated with the summer normalized difference wetness index (NDWI) and spring snowfall (March–June) for the riparian reach adjacent to each gage, using the Spearman correlation. Temporal trends were quantified using the Mann–Kendall test for trends. Percentage discharge consumed and diverted is from the 2014 Water Plan ( DNRC, 2014 ). JJA: June, July and August. SON: September, October and November.

    Journal: Hydrology and earth system sciences

    Article Title: Influence of multi-decadal land use, irrigation practices and climate on riparian corridors across the Upper Missouri River headwaters basin, Montana

    doi: 10.5194/hess-23-4269-2019

    Figure Lengend Snippet: River discharge characteristics for the US Geological Survey (USGS) gages used in the analysis. Summer (June, July and August) discharge was correlated with the summer normalized difference wetness index (NDWI) and spring snowfall (March–June) for the riparian reach adjacent to each gage, using the Spearman correlation. Temporal trends were quantified using the Mann–Kendall test for trends. Percentage discharge consumed and diverted is from the 2014 Water Plan ( DNRC, 2014 ). JJA: June, July and August. SON: September, October and November.

    Article Snippet: In this study we used a time series of Landsat imagery (1984–2016) together with climate datasets, agricultural datasets and US Geological Survey (USGS) stream gage datasets to explore trends over time in riparian vegetation for the major river valleys across the UMH basin.

    Techniques: