Summary & Purpose

Soil physical properties, analytical measures and photographs were taken on soils within the Reynolds Creek Experimental Watershed (RCEW), which is an extensively monitored catchment within southwestern Idaho. Samples were collected over a full range of elevation (1187 to 2111 m), vegetation, lithology (granite, basalt, rhyolite, and colluvium), and climate that varies between mean annual temperature (MAT) precipitation (MAP) from 4.7 to 9.2 °C and 233 to 972 mm, respectively. Soils were collected from profiles by genetic horizons and predetermined depth down to ~1 m or mobile-immobile regolith interface. Here, we provide a spatially extensive soil dataset for 93 soil profiles and 560 sub-samples. We make available a complete soil dataset in conjunctions with the System for Earth Sample Registration (SESAR), where all samples have a unique International Geo Sample Number (IGSN).

Date of Publication or Submission

7-16-2018

DOI

https://doi.org/10.18122/reynoldscreek/11/boisestate

Funding Citation

This study was conducted in collaboration and cooperation with the USDA Agriculture Research Service, Northwest Watershed Research Center, Boise, Idaho, and landowners within the Reynolds Creek Critical Zone Observatory (RC CZO). Support for this research was provided by NSF for RC CZO Cooperative agreement NSF EAR-1331872 (Kathleen Lohse, Principal Investigator; Nancy Glenn, Co-Principal Investigator; Alejandro Flores, Co-Principal Investigator; Shawn Benner, Co-Principal Investigator; Mark Seyfried, Co-Principal Investigator). Data are available at the criticalzone.org data portal. Every sample at RC CZO is registered with an International Geo Sample Number through System for Earth Sample Registration (SESAR). Gordon Gulch data collection was funded by the Keck Geology Consortium, the National Science Foundation (NSF EAR-1062720), University of Connecticut Research Foundation, and NSF Boulder Creek Critical Zone Observatory (NSF EAR-072496). The authors declare no financial conflicts.

Data Source Credits

Patton, Nicholas R.; Lohse, Kathleen A.; Seyfried, M.S.; Will, Ryan M.; and Benner, Shawn. (2018). Dataset for Coarse Fraction Adjusted Bulk Density Estimates for Dryland Soils Derived from Felsic and Mafic Parent Materials [Data set]. Retrieved from https://doi.org/10.18122/B22M6Q. Patton, Nicholas R.; Lohse, Kathleen A.; Godsey, Sarah E.; Seyfried, Mark S.; and Crosby, Benjamin T.. (2017). Dataset for Predicting Soil Thickness on Soil Mantled Hillslopes [Data set]. Retrieved from https://doi.org/10.18122/B2PM69. Patton, N. R., K. A. Lohse, M. Seyfried, A. G. Radke, and S. E. Godsey. (2018). Dataset: Soil properties of Reynolds Mountain East a subcatchment of Reynolds Creek, Idaho. (Boise State University Scholar Works) https://doi.org/10.18122/B29T3T. Patton, N. R., K. A. Lohse, M. Seyfried, and M. D. Murdock. (2018). Dataset: Soil properties of Johnston Draw a subcatchment of Reynolds Creek, Idaho. (Boise State University ScholarWorks) https://doi.org/10.18122/B2612K. Patton, N. R., K. A. Lohse, S. E. Godsey, S. B. Parsons, and M. Seyfried. (2018). Dataset for topographic controls on total soil carbon in semi-arid environments (Boise State University ScholarWorks) https://doi.org/10.18122/B2XT55.

Single Dataset or Series?

Single Dataset

Data Format

XML

Time Period

June 2010-October 2016

Privacy and Confidentiality Statement

Boise State is explicitly compliant with federal and state laws surrounding data privacy including the protection of personal financial information through the Gramm-Leach-Bliley Act, personal medical information through HIPAA, HITECH and other regulations. All human subject data (e.g., surveys) has been collected and managed only by personnel with adequate human subject protection certification.

Use Restrictions

1. Use our data freely. All CZO Data Products* except those labelled Private** are released to the public and may be freely copied, distributed, edited, remixed, and built upon under the condition that you give acknowledgement as described below. 2. Give proper acknowledgement. Publications, models and data products that make use of these datasets must include proper acknowledgement, including citing datasets in a similar way to citing a journal article (i.e. author, title, year of publication, name of CZO “publisher”, edition or version, and URL or DOI access information. See http://www.datacite.org/whycitedata). 3. Let us know how you will use the data. The dataset creators would appreciate hearing of any plans to use the dataset. Consider consultation or collaboration with dataset creators. *CZO Data Products. Defined as a data collected with any monetary or logistical support from a CZO.

Disclaimer of Warranty

BOISE STATE UNIVERSITY MAKES NO REPRESENTATIONS ABOUT THE SUITABILITY OF THE INFORMATION CONTAINED IN OR PROVIDED AS PART OF THE SYSTEM FOR ANY PURPOSE. ALL SUCH INFORMATION IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND. BOISE STATE UNIVERSITY HEREBY DISCLAIMS ALL WARRANTIES AND CONDITIONS WITH REGARD TO THIS INFORMATION, INCLUDING ALL WARRANTIES AND CONDITIONS OF MERCHANTABILITY, WHETHER EXPRESS, IMPLIED OR STATUTORY, FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT. IN NO EVENT SHALL BOISE STATE UNIVERSITY BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF INFORMATION AVAILABLE FROM THE SYSTEM. THE INFORMATION PROVIDED BY THE SYSTEM COULD INCLUDE TECHNICAL INACCURACIES OR TYPOGRAPHICAL ERRORS. CHANGES ARE PERIODICALLY ADDED TO THE INFORMATION HEREIN. COMPANY AND/OR ITS RESPECTIVE SUPPLIERS MAY MAKE IMPROVEMENTS AND/OR CHANGES IN THE PRODUCT(S) AND/OR THE PROGRAM(S) DESCRIBED HEREIN AT ANY TIME, WITH OR WITHOUT NOTICE TO YOU. BOISE STATE UNIVERSITY DOES NOT MAKE ANY ASSURANCES WITH REGARD TO THE ACCURACY OF THE RESULTS OR OUTPUT THAT DERIVES FROM USE OF THE SYSTEM.

Comments

Dataset Update 7/12/2019: Patton_DOI_ReynoldsCreek_03072019.xls is an updated file. Items highlighted in yellow indicate changes since previous update.

Curvature is the rate of change in slope from a fixed point on a landscape in all directions, and is extremely sensitive to any changes in elevation, procedures, or processing. These data have been amended to include additional metadata descriptions of how curvature was calculated for this dataset. A column for the name of the catchment used to derive statistics from has been added, and reported curvature values have been re-calculated to remove the negative curvature convention.

Download

Share

 
COinS