Data product containing Little Granite Creek and Hayden Creek bedload transport data and corresponding SAS code for "A tutorial on the piecewise regression approach applied to bedload transport data"

Metadata:

• Identification_Information
• Data_Quality_Information
• Entity_and_Attribute_Information
• Distribution_Information
• Metadata_Reference_Information

Identification_Information:

Citation:

Citation_Information:

Originator: Ryan-Burkett, Sandra E.

Originator: Porth, Laurie S.

Publication_Date: 2007

Title:

Data product containing Little Granite Creek and Hayden Creek bedload transport data and corresponding SAS code for "A tutorial on the piecewise regression approach applied to bedload transport data"

Geospatial_Data_Presentation_Form: tabular digital data

Publication_Information:

Publication_Place: Fort Collins, CO

Publisher: USDA Forest Service, Rocky Mountain Research Station

Online_Linkage: https://doi.org/10.2737/RDS-2007-0004

Description:

Abstract:

This data publication contains the data and SAS code corresponding to the examples provided in the publication "A tutorial on the piecewise regression approach applied to bedload transport data" by Sandra Ryan and Laurie Porth in 2007 (see cross-reference section). The data include rates of bedload transport and discharge recorded from 1985-1993 and 1997 at Little Granite Creek near Jackson, Wyoming as well as the bedload transport and discharge recorded during snowmelt runoff in 1998 and 1999 at Hayden Creek near Salida, Colorado. The SAS code demonstrates how to apply a piecewise linear regression model to these data, as well as bootstrapping techniques to obtain confidence limits for piecewise linear regression parameter estimates.

Purpose:

These data were collected to measure rates of bedload transport in coarse grained channels.

Supplemental_Information:

Original metadata date was 05/31/2007. Metadata modified on 03/19/2013 to adjust citation to include the addition of a DOI (digital object identifier) and other minor edits.

Minor metadata updates on 12/20/2016.

Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 1985

Ending_Date: 1999

Currentness_Reference:

ground condition

Status:

Progress: Complete

Maintenance_and_Update_Frequency: None planned

Spatial_Domain:

Description_of_Geographic_Extent:

Little Granite Creek is near Jackson, Wyoming and Hayden Creek is near Salida, Colorado. The bounding coordinates below encompass both areas.

Bounding_Coordinates:

West_Bounding_Coordinate: -111

East_Bounding_Coordinate: -105

North_Bounding_Coordinate: 43.5

South_Bounding_Coordinate: 37.5

Bounding_Altitudes:

Altitude_Minimum: 6390

Altitude_Maximum: 10921

Altitude_Distance_Units: feet

Keywords:

Theme:

Theme_Keyword_Thesaurus: ISO 19115 Topic Category

Theme_Keyword: environment

Theme_Keyword: geoscientificInformation

Theme_Keyword: inlandWaters

Theme:

Theme_Keyword_Thesaurus: National Research & Development Taxonomy

Theme_Keyword: Ecology, Ecosystems, & Environment

Theme_Keyword: Hydrology, watersheds, sedimentation

Theme:

Theme_Keyword_Thesaurus: None

Theme_Keyword: piecewise linear regression

Theme_Keyword: breakpoint

Theme_Keyword: bedload transport

Theme_Keyword: bootstrapping

Place:

Place_Keyword_Thesaurus: None

Place_Keyword: Little Granite Creek

Place_Keyword: Wyoming

Place_Keyword: Hayden Creek

Place_Keyword: Colorado

Access_Constraints: None

Use_Constraints:

These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:

Ryan, Sandra E.; Porth, Laurie S. 2007. Data product containing Little Granite Creek and Hayden Creek bedload transport data and corresponding SAS code for "A tutorial on the piecewise regression approach applied to bedload transport data". Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. https://doi.org/10.2737/RDS-2007-0004

Browse_Graphic:

Browse_Graphic_File_Name: Bootstrapping_BCaCIs_SAS_output.pdf

Browse_Graphic_File_Description:

Contains the SAS output from Bootstrapping_BCaCIs.sas, which demonstrates how to get bootstrapped parameter estimates for a piecewise linear regression model applied to both Hayden Creek and Little Granite Creek bedload transport and discharge data.

Browse_Graphic_File_Type: PDF

Browse_Graphic:

Browse_Graphic_File_Name: Brkpt_Tutorial_SAS_output.pdf

Browse_Graphic_File_Description:

Contains the SAS output from Brkpt_Tutorial_HAYDEN.sas, which demonstrates the fitting of a piecewise linear regression model to Hayden Creek bedload transport and discharge data.

Browse_Graphic_File_Type: PDF

Browse_Graphic:

Browse_Graphic_File_Name: Brkpt_Tutorial_LTLGRAN_SAS_output.pdf

Browse_Graphic_File_Description:

Contains the SAS output from Brkpt_Tutorial_LTLGRAN.sas, which demonstrates the fitting of a piecewise linear regression model to Little Granite Creek bedload transport and discharge data.

Browse_Graphic_File_Type: PDF

Data_Set_Credit:

Data from 1985-1993 at Little Granite Creek were collected by William Emmett and staff from the US Geological Survey. Data from Little Granite Creek in 1997 and data from Hayden Creek were collected by Sandra Ryan.

Native_Data_Set_Environment:

The data were originally entered in Microsoft Excel spreadsheets, and were then converted to comma-delimited ASCII text files.

Cross_Reference:

Citation_Information:

Originator: Ryan, Sandra E.

Originator: Porth, Laurie S.

Publication_Date: 2007

Title:

A tutorial on the piecewise regression approach applied to bedload transport data

Geospatial_Data_Presentation_Form: document

Series_Information:

Series_Name: General Technical Report

Issue_Identification: RMRS-GTR-189

Publication_Information:

Publication_Place: Fort Collins, CO

Publisher: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station

Other_Citation_Details:

41 p.

Online_Linkage: https://www.treesearch.fs.fed.us/pubs/27004

Cross_Reference:

Citation_Information:

Originator: Ryan, Sandra E.

Originator: Porth, Laurie S.

Originator: Troendle, C.A.

Publication_Date: 2005

Title:

Coarse sediment transport in mountain streams in Colorado and Wyoming, USA

Geospatial_Data_Presentation_Form: journal article

Series_Information:

Series_Name: Earth Surf. Process. and Landforms

Issue_Identification: 30(3)

Other_Citation_Details:

Pages 269-288, DOI: 10.1002/esp.1128

Online_Linkage: https://doi.org/10.1002/esp.1128

Analytical_Tool:

Analytical_Tool_Description:

SAS is a software package that can be used to perform statistical analyses.

The data referenced in this document DO NOT require SAS, however the analyses examples included in this data publication are written in SAS. The following is a list of SAS files available:

Bootstrapping_BCaCIs.sas - which demonstrates how to get bootstrapped parameter estimates for a piecewise linear regression model fit to both Hayden Creek and Little Granite Creek bedload transport and discharge data.

Brkpt_Tutorial_HAYDEN.sas - which demonstrates how to apply a piecewise linear regression model to Hayden Creek bedload transport and discharge data.

Brkpt_Tutorial_LTLGRAN.sas - which demonstrates how to apply a piecewise linear regression model to Little Granite Creek bedload transport and discharge data.

Tool_Access_Information:

Online_Linkage: //www.sas.com

Tool_Access_Instructions:

SAS files have the extension '.sas'. These files contain SAS code, but are really just ASCII text files that can be viewed by nearly any software package.

Data_Quality_Information:

Attribute_Accuracy:

Attribute_Accuracy_Report:

Discharge values were determined from stage-discharge relationships developed between the stage observed at staff plates at gauging stations and discharge measured at the bedload sampling location. In both cases, the gauge is located within 50 meters of the sediment collection site. Generally, the calculated discharge values provided in the dataset are within 5% of measured values.

Accuracy of individual bedload values are unknown because there is no currently accepted means for determining true rates of bedload transport. The user is referred to the following USGS publication on the state of technology in bedload measurement:

Ryan, S.E., Bunte, K., and Potyondy, J.P., 2005. Breakout Session 2: Bedload Transport Measurement, Data Uncertainty, and New Technologies. Proceedings of the Federal Interagency Sediment Monitoring Instrument and Analysis Research Workshop, September 9-11, 2003, Flagstaff, AZ. USGS Circular 1276. pp. 16-28.

Logical_Consistency_Report:

Bedload and discharge data were graphed and visually examined for outliers. Discharge values that were substantially off the stage-discharge rating curve were assumed to be in error and were removed from the fitting of the rating curve. Bedload measurements can be highly erratic due to the nature of changing sediment supply. Outlying values can occur that are not in error and likely reflect transport conditions at the time the sample was collected. Bedload values were removed only when there were obvious analysis errors, such as portions of the sample were lost during processing.

Completeness_Report:

Lineage:

Methodology:

Methodology_Type: Field

Methodology_Description:

Bedload data were collected using a hand-held Helley-Smith bedload sampler from platforms suspended above the channel. Measurements were obtained from approximately 10 equally-spaced positions in the cross-section (depending on the width of the channel). One bedload sample was collected during each site visit and consists of material collected at each position over 2 traverses of the channel width. The sampler was held in place for 1 or 2 minutes at each position; depending on the rate at which the bag filled; sampling time per position was always the same on any given visit to the site. Material from individual positions were later combined (mathematically) to determine the mean rate of bedload transport through the cross-section. Each composite sample represents a spatially and temporally averaged rate measured over 20 to 40 minutes.

The Helley-Smith sampler deployed at Hayden Creek was constructed of 16 gauge sheetmetal and had a 76 x 76 millimeter (3 x 3 inches) orifice, 3.22 expansion ratio, and a 0.25 millimeter mesh catch bag. The sampler used at Little Granite Creek had similar dimenstions, but was constructed of 1/4 inch cast aluminum. The upper size limit of the samples from both samplers therefore restricted to grains smaller than about 76 millimeters.

Discharge was measured at the sampling cross-section using standard methods. Average sub-section velocity was measured at each vertical with Price AA or mini current meters. Discharge was calculated from the average velocity, interval width, and total depth measurements for channel subsections, which were then summed to obtain total discharge for the cross-section.

Process_Step:

Process_Description:

Bedload samples were dried and sieved using standard sedimentological methods. Large organic matter was picked from the sample during processing and excluded from the total sample weight. Samples were separated into grain size classes using full phi sieves ranging from 0.25 to 64 millimeters. Rates of transport for particles finer than 4 millimeters are not presented separately in the dataset.

Transport rate was calculated, the same year the bedload material was collected, using the total weight of the sample (in kilograms) divided by the total sampling time and width of the sampler to obtain the unit bedload transport rate (in kilograms/meters/second = kg m-1 s-1). This value is multiplied by the width of the channel to obtain the mean transport rate (in kilograms/second = kg s-1) through the cross-section.

Process_Date: Unknown

Entity_and_Attribute_Information:

Overview_Description:

Entity_and_Attribute_Overview:

The data sets LTLGRAN_bedloadtransport.csv and HAYDEN_bedloadtransport.csv contain:

DATE = Date of measurement (mm/dd/yy, where mm=month, dd=day, and yy=year);
YEAR= Year of measurement;
X = Flow (cubic meters / second); and
Y = Bedload (kilograms / second).

Entity_and_Attribute_Detail_Citation:

Ryan S.E.; Porth L.S. 2007. A tutorial on the piecewise regression approach applied to bedload transport data. Gen. Tech. Rep. RMRS-GTR-189. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 41p.

Distribution_Information:

Distributor:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: USDA Forest Service, Research and Development

Contact_Position: Research Data Archivist

Contact_Address:

Address_Type: mailing and physical

Address: 240 West Prospect Road

City: Fort Collins

State_or_Province: CO

Postal_Code: 80526

Country: USA

Contact_Voice_Telephone: see Contact Instructions

Contact Instructions: This contact information was current as of December 2016. For current information see Contact Us page on: https://doi.org/10.2737/RDS.

Resource_Description: RDS-2007-0004

Distribution_Liability:

This metadata document has been reviewed for accuracy and completeness. The data are considered to satisfy the Rocky Mountain Research Station's quality standards relative to the purpose for which the data were collected. However, the Forest Service cannot assure the reliability or suitability of these data for a particular purpose. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the Forest Service for a user's application of these data or related materials.

The metadata, data, or related materials may be updated without notification. If a user believes errors are present in the metadata, data or related materials, please use the information in (1) Identification Information: Point of Contact, (2) Metadata Reference: Metadata Contact, or (3) Distribution Information: Distributor to notify the Forest Service of the issues. Additional information is available at https://www.fs.fed.us/qoi.

Standard_Order_Process:

Digital_Form:

Digital_Transfer_Information:

Format_Name: ASCII

Format_Version_Number: See Format Specification

Format_Specification:

Comma-delimited ASCII text file

File_Decompression_Technique: Files zipped with Winzip 14.0

Digital_Transfer_Option:

Online_Option:

Computer_Contact_Information:

Network_Address:

Network_Resource_Name: https://doi.org/10.2737/RDS-2007-0004

Fees: none

Metadata_Reference_Information:

Metadata_Date: 20161220

Metadata_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: USDA Forest Service, Research and Development

Contact_Position: Research Data Archivist

Contact_Address:

Address_Type: mailing and physical

Address: 240 West Prospect Road

City: Fort Collins

State_or_Province: CO

Postal_Code: 80526

Country: USA

Contact_Voice_Telephone: see Contact Instructions

Contact Instructions: This contact information was current as of December 2016. For current information see Contact Us page on: https://doi.org/10.2737/RDS.

Metadata_Standard_Name: Content Standard for National Biological Information Infrastructure Metadata

Metadata_Standard_Version: FGDC-STD-001.1-1999