2 datasets found
  1. A

    SAGA: Calculate Standard Deviation (Grain Size)

    • data.amerigeoss.org
    esri rest, html
    Updated Nov 8, 2018
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    United States (2018). SAGA: Calculate Standard Deviation (Grain Size) [Dataset]. https://data.amerigeoss.org/gl/dataset/saga-calculate-standard-deviation-grain-size
    Explore at:
    html, esri restAvailable download formats
    Dataset updated
    Nov 8, 2018
    Dataset provided by
    United States
    License

    http://geospatial-usace.opendata.arcgis.com/datasets/4a170b34bced4d06a0ba41cbab51a2af/license.jsonhttp://geospatial-usace.opendata.arcgis.com/datasets/4a170b34bced4d06a0ba41cbab51a2af/license.json

    Description

    A sieve analysis (or gradation test) is a practice or procedure commonly used in civil engineering to assess the particle size distribution (also called gradation) of a granular material.

    As part of the Sediment Analysis and Geo-App (SAGA) a series of data processing web services are available to assist in computing sediment statistics based on results of sieve analysis. The Standard Deviation first computes the percentiles for D5, D16, D35, D84,D95 and then uses the formula, (D16-D84)/4)+(D5-D95)/6

    Percentiles can also be computed for classification sub-groups: Overall (OVERALL), <62.5 um (DS_FINE), 62.5-250um (DS_MED), and > 250um (DS_COARSE)

    Parameter #1: Input Sieve Size, Percent Passing, Sieve Units.

    • Semi-colon separated. ex: 75000, 100, um; 50000, 100, um; 37500, 100, um; 25000,100,um; 19000,100,um
    • A minimum of 4 sieve sizes must be used. Units supported: um, mm, inches, #, Mesh, phi
    • All sieve sizes must be numeric

    Parameter #2: Subgroup

    • Options: OVERALL, DS_COARSE, DS_MED, DS_FINE
    • The statistics are computed for the overall sample and into Coarse, Medium, and Fine sub-classes
      • Coarse (> 250 um) DS_COARSE
      • Medium (62.5 – 250 um) DS_MED
      • Fine (< 62.5 um) DS_FINE
      • OVERALL (all records)

    Parameter #3: Outunits

    • Options: phi, m, um

  2. A

    SAGA: Calculate Percentile

    • data.amerigeoss.org
    esri rest, html
    Updated Oct 1, 2018
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    United States (2018). SAGA: Calculate Percentile [Dataset]. https://data.amerigeoss.org/gl/dataset/saga-calculate-percentile
    Explore at:
    esri rest, htmlAvailable download formats
    Dataset updated
    Oct 1, 2018
    Dataset provided by
    United States
    License

    http://geospatial-usace.opendata.arcgis.com/datasets/9defaa133d434c0a8bb82d5db54e1934/license.jsonhttp://geospatial-usace.opendata.arcgis.com/datasets/9defaa133d434c0a8bb82d5db54e1934/license.json

    Description

    A sieve analysis (or gradation test) is a practice or procedure commonly used in civil engineering to assess the particle size distribution (also called gradation) of a granular material.

    As part of the Sediment Analysis and Geo-App (SAGA) a series of data processing web services are available to assist in computing sediment statistics based on results of sieve analysis. The Calculate Percentile service returns one of the following percentiles: D5, D10, D16, D35, D50, D84, D90, D95.

    Percentiles can also be computed for classification sub-groups: Overall (OVERALL), <62.5 um (DS_FINE), 62.5-250um (DS_MED), and > 250um (DS_COARSE)

    Parameter #1: Input Sieve Size, Percent Passing, Sieve Units.

    • Semi-colon separated. ex: 75000, 100, um; 50000, 100, um; 37500, 100, um; 25000,100,um; 19000,100,um
    • A minimum of 4 sieve sizes must be used. Units supported: um, mm, inches, #, Mesh, phi
    • All sieve sizes must be numeric

    Parameter #2: Percentile

    • Options: D5, D10, D16, D35, D50, D84, D90, D95

    Parameter #3: Subgroup

    • Options: OVERALL, DS_COARSE, DS_MED, DS_FINE
    • The statistics are computed for the overall sample and into Coarse, Medium, and Fine sub-classes
      • Coarse (> 250 um) DS_COARSE
      • Medium (62.5 – 250 um) DS_MED
      • Fine (< 62.5 um) DS_FINE
      • OVERALL (all records)

    Parameter #4: Outunits

    • Options: phi, m, um

    This service is part of the Sediment Analysis and Geo-App (SAGA) Toolkit.

    Looking for a comprehensive user interface to run this tool?
    Go to SAGA Online to view this geoprocessing service with data already stored in the SAGA database.

    This service can be used independently of the SAGA application and user interface, or the tool can be directly accessed through http://navigation.usace.army.mil/SEM/Analysis/GSD

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
United States (2018). SAGA: Calculate Standard Deviation (Grain Size) [Dataset]. https://data.amerigeoss.org/gl/dataset/saga-calculate-standard-deviation-grain-size

SAGA: Calculate Standard Deviation (Grain Size)

Explore at:
html, esri restAvailable download formats
Dataset updated
Nov 8, 2018
Dataset provided by
United States
License

http://geospatial-usace.opendata.arcgis.com/datasets/4a170b34bced4d06a0ba41cbab51a2af/license.jsonhttp://geospatial-usace.opendata.arcgis.com/datasets/4a170b34bced4d06a0ba41cbab51a2af/license.json

Description

A sieve analysis (or gradation test) is a practice or procedure commonly used in civil engineering to assess the particle size distribution (also called gradation) of a granular material.

As part of the Sediment Analysis and Geo-App (SAGA) a series of data processing web services are available to assist in computing sediment statistics based on results of sieve analysis. The Standard Deviation first computes the percentiles for D5, D16, D35, D84,D95 and then uses the formula, (D16-D84)/4)+(D5-D95)/6

Percentiles can also be computed for classification sub-groups: Overall (OVERALL), <62.5 um (DS_FINE), 62.5-250um (DS_MED), and > 250um (DS_COARSE)

Parameter #1: Input Sieve Size, Percent Passing, Sieve Units.

  • Semi-colon separated. ex: 75000, 100, um; 50000, 100, um; 37500, 100, um; 25000,100,um; 19000,100,um
  • A minimum of 4 sieve sizes must be used. Units supported: um, mm, inches, #, Mesh, phi
  • All sieve sizes must be numeric

Parameter #2: Subgroup

  • Options: OVERALL, DS_COARSE, DS_MED, DS_FINE
  • The statistics are computed for the overall sample and into Coarse, Medium, and Fine sub-classes
    • Coarse (> 250 um) DS_COARSE
    • Medium (62.5 – 250 um) DS_MED
    • Fine (< 62.5 um) DS_FINE
    • OVERALL (all records)

Parameter #3: Outunits

  • Options: phi, m, um

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