Dataset Listing

Calhoun Experimental Watersheds 2, 3, 4 - Soil Moisture, Soil Redox Potential (2014-2015)

Variables:  specific conductance (soil conductivity)

Standard Variables:  Specific conductance

Date Range:  (2014-11-01 to 2015-09-30. Measurements made every 2 months)

Dataset Creators/Authors:  Caitlin Hodges; Daniel Markewitz; Aaron Thompson

Contact:  Caitlin Hodges, University of Georgia, Department of Crop and Soil Sciences, 3111 Miller Plant Science Bldg, Athens, GA 30602,

Field Area:   Calhoun Experimental Forest and Eco-hydrology Experiments

Keywords & XML
  • Description

    These are the output data from surveys of watersheds 2, 3, and 4 with a Dualem 2 electromagnetic induction (EMI) probe. The probe was carried along the contour of the slope and recorded georeferenced measurements of specific conductance every one to two seconds. These measurements were started in November of 2014 and continued to be made every two months for a year after (November 2014 – September 2015) by Caitlin Hodges. EMI provides information on soil specific conductance, which can then be used to infer soil moisture and texture conditions. When repeated measurements are made, soil moisture changes over time can be observed. This raw data is best utilized by importing into ArcMap and interpolating the specific conductivity measurements to generate a 2D map of soil conductivity. Hodges used the data to inform her installation of her rusted steel redox indicators in the watersheds to assess soil redox potential in the watersheds (first deployment, October 2015).
  • Keywords

    EMI, soil moisture, soil, Calhoun, iron redox, electromagnetic induction

    XML Metadata

    XML is in ISO-19115 geographic metadata format, compatible with ESRI Geoportal Server.

  • Citation for This Webpage

    Caitlin Hodges; Daniel Markewitz; Aaron Thompson (2015). "CZO Dataset: Calhoun Experimental Watersheds 2, 3, 4 - Soil Moisture, Soil Redox Potential (2014-2015)." Retrieved 05 Apr 2020, from


Calhoun Experimental Watersheds 2, 3, 4 - soil moisture, soil redox, electromagnetic induction

(xlsx)   Data Level 0,  [Private]

Data Use Policy
Data Sharing Policy
  • Data Use Policy

    DRAFT v.0.4.0

    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. Non-CZO data products — like those produced by USGS or NOAA — have their own use policies, which should be followed.

    2. Give proper citation and acknowledgement. Publications, models and data products that make use of these datasets must include proper citation and acknowledgement. Most importantly, provide a citation in a similar way as a journal article (i.e. author, title, year of publication, name of CZO “publisher”, edition or version, and URL or DOI access information. See Also include at least a brief acknowledgement such as: “Data were provided by the NSF-supported Southern Sierra Critical Zone Observatory” (replace with the appropriate observatory name).

    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.

    **Private. Most private data will be released to the public within 1-2 years, with some exceptionally challenging datasets up to 4 years. To inquire about potential earlier use, please contact us.

  • Data Sharing Policy

    DRAFT v.0.2.5

    All CZO investigators and collaborators who receive material or logistical support from a CZO agree to:

    1. Share data privately within 1 year. CZO investigators and collaborators agree to provide CZO Data Products* — including data files and metadata for raw, quality controlled and/or derived data — to CZO data managers within one year of collection of samples, in situ or experimental data. By default, data values will be held in a Private CZO Repository**, but metadata will be made public and will provide full attribution to the Dataset Creators†.

    2. Release data to public within 2 years. CZO Dataset Creators will be encouraged after one year to release data for public access. Dataset Creators may chose to publish or release data sooner.

    3. Request, in writing, data privacy up to 4 years. CZO PIs will review short written applications to extend data privacy beyond 2 years and up to 4 years from time of collection. Extensions beyond 3 years should not be the norm, and will be granted only for compelling cases.

    4. Consult with creators of private CZO datasets prior to use. In order to enable the collaborative vision of the CZO program, data in private CZO repositories will be available to other investigators and collaborators within that CZO. Releasing or publishing any derivative of such private data without explicit consent from the dataset creators will be considered a serious scientific ethics violation.

    * CZO Data Products. Defined as data collected with any monetary or logistical support from a CZO. Logistical support includes the use of any CZO sensors, sampling infrastructure, equipment, vehicles, or labor from a supported investigator, student or staff person. CZO Data Products can acknowledge multiple additional sources of support.

    ** Private CZO Repository. Defined as a password-protected directory on each CZO’s data server. Files will be accessible by all investigators and collaborators within the given CZO and logins will be maintained by that local CZO’s data managers. Although data values will not be accessible by the public or ingested into any central data system (i.e. CUAHSI HIS), metadata will be fully discoverable by the public. This provides the dual benefit of giving attribution and credit to dataset creators and the CZO in general, while maintaining protection of intellectual property while publications are pending.

    † Dataset Creators. Defined as the people who are responsible for designing, collecting, analyzing and providing quality assurance for a dataset. The creators of a dataset are analogous to the authors of a publication, and datasets should be cited in an analogous manner following the emerging international guidelines described at