Dataset Listing

Shale Hills - Vegetation - Root Length Density (2013)

Level 1 - Quality-controlled data.

Variables:  ID number, SampleID, location, depth (cm), Increment Height (m), Increment Volume (m3), Length (mm), Length (m), Root Density (m/m3)

Standard Variables:  Depth|Recorder code|Height|Volume|Length|Soil organic matter (SOM)

Date Range:  (2013-07-01 to 2013-08-31)

Dataset Creators/Authors:  Eissenstat, David M.

Contact:  Dr. David Eissenstat, Professor of Woody Plant Physiology, Dept. of Ecosystem Science and Management, The Pennsylvania State University, 201 Forest Resources Building, University Park, PA, 16802, 814.863.3371,

Field Area:   Susquehanna Shale Hills Critical Zone Observatory

Keywords & XML
  • Description

    Root length density from fine roots (first and second order) from 36 cores collected in July 2013, seperated by depth increments. Approximate locations of cores based on tree ID from tree survey list are as follows:
    (Position-Core nest-Curvature Type, TreeID)
    RT-A-Planar, 1180
    RT-B-Planar, 1181
    RT-A-Swale, 990
    RT-B-Swale, 994
    MS-A-Swale, 1186
    MS-B-Swale, 1242
    MS-A-Planar, 1072
    MS-B-Planar, 1054
    VF-A-Swale, 1221
    VF-B-Swale, 1207
    VF-A-Planar, 1129
    VF-B-Planar, 1059 & 1058
  • Keywords

    root length, root density, tree, slope position, rooting depth, root distribution, soil cores

    XML Metadata

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

  • Citation for This Dataset

    The following acknowledgment should accompany any publication or citation of these data: Logistical support and/or data were provided by the NSF-supported Shale Hills Susquehanna Critical Zone Observatory.

    Citation for This Webpage

    Eissenstat, David M. (2013). "CZO Dataset: Shale Hills - Vegetation (2013) - Root Length Density." Retrieved 25 Feb 2020, from


Shale Hills - Root Length Density - July 2013

(xlsx)   Data Level 1,  Metadata

Shale Hills - Root Length Denisty - Tower Site - August 2013

(xlsx)   Data Level 1,  Metadata

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

Explore Further

data |

Explore Further