Dataset Listing

Shale Hills - Vegetation - Leaf Area Index (2010)

Variables:  Site ID, X Coordinate, Y Coordinate, Elevation (m), LAI, LAI, LAI, LAI, LAI, LAI, LAI, LAI, LAI, LAI, LAI, LAI, LAI, LAI, LAI, LAI; PCC (%), PCC (%), PCC (%), PCC (%), PCC (%), PCC (%), PCC (%), PCC (%), PCC (%), PCC (%), PCC (%), PCC (%), PCC (%), PCC (%), PCC (%), PCC (%), PCC (%)

Date Range:  (2010-2010)

Dataset Creators/Authors:  Eissenstat, David

Contact:  Dr. David Eissenstat, Professor of Woody Plant Physiology, The Pennsylvania State University, 103 Tyson Building, University Park, PA, 16802, 814.863.4384, dme9@psu.edu.

Field Area:   Susquehanna Shale Hills Critical Zone Observatory

Description
Keywords & XML
Citation
  • Description

    Leaf Area Index (LAI) and Canopy Closure (CC) were measured from April to October of 2010 at up to 70 points in the watershed about every two weeks (twice a month). At each point, LAI and CC were measured in four directions and averaged. Soil moisture was measured at many of the same points on a regular basis. LAI was measured using a LAI-2200 instrument (LI-COR Biosciences). Canopy closure was measured with a spherical densiometer, Model C Forest Densiometers).
    Comments
    Leaf Area Index (LAI): LAI-2200, LI-COR Biosciences. Percent Canopy closure (PCC): Spherical Densiometer, Model C, Forest Densiometers. Column headings indicate date (all in year denoted in filename). E.g., "LAI520" is Leaf Area Index that used measurements from 5/20. See data file for additional information on methods used. PhenoCam project is a collaboration of Harvard University Richardson Lab, University of New Hampshire Earth System Research Center, Boston University Department of Earth & Environment, and Washington University in Saint Louis Media and Machines Lab - AMOS Project.
  • Keywords

    leaf area index, canopy closure, crown closure, spatial data

    XML Metadata

    criticalzone.org/national/data/xml-metadata-test/2649/

    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 (2010). "CZO Dataset: Shale Hills - Vegetation (2010) - Leaf Area Index." Retrieved 26 Mar 2019, from http://criticalzone.org/national/data/dataset/2649/

Data

Shale Hills - Leaf Area Index & Canopy Closure - 2010

(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 http://www.datacite.org/whycitedata). 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.

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    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 http://www.datacite.org/whycitedata.