Dataset Listing

Shale Hills, Boulder, Luquillo, JRB-SCM, Calhoun - Soil Geochemistry (2001-2013)

Level 1 - Quality Controlled Data

Variables:  City, State, Country, Mean Annual Precipitation, Mean Annual Temperature, Latitude, Longitude, Elevation, Slope Degree, Aspect, Landscape Position, Land use, Vegetation, Parent Lithology, Exposure Age, Erosion Rate, Depth to Bedrock, Soil Taxonomy, SSURGO_ID, Sample Medium, Sampling Date and Time, Sampling Depth (cm), Collection Method, Method of Preparation, Method of Analysis, Analysis Date, Laboratory Conducting Analysis, Textual Information, Numeric Information, Persons, Institutions, Publications

Standard Variables:  Digital elevation model|Bedrock type|Elevation|Erosion rate|land classification|Latitude|Longitude|Precipitation|Temperature|Geologic unit|Recorder code|Depth, soil|Slope|Soil classification|Vegetation type

Date Range:  (2001-2013)

Dataset Creators/Authors:  Niu, Xianzeng; Williams, Jennifer; Brantley, Susan L.; Miller, Doug; Bills, Brian

Contact:  Dr. Susan Brantley, Professor of Geosciences, The Pennsylvania State University, 2217 Earth and Environmental Systems Institute, University Park, PA, 16802, 814.865.1619,

Field Area:   Susquehanna Shale Hills Critical Zone Observatory | Bisley | Boulder Creek Watershed | Northeastern Puerto Rico and the Luquillo Mountains | Santa Catalina Mountains

Keywords & XML
  • Description

    The chemical database includes chemical analysis and characterization for regolith and rock samples collected from the Susqhuehanna Shale Hills CZO, the Boulder Creek CZO, the Luquillo CZO, and the Jemez River-Santa Catalina CZO, as well as other sites in the United States and abroad. Additionally, the database provides contextual information for the chemical data, including site characterization and sampling collection, preparation, and analysis methods. Eventually, pore water, gas, and biota analyses will be included.
    To access data within CZchemDB, please follow this sequence of steps: Download zip file > Extract all elements into the same folder > from that folder, Open CZchemDB_V10_FrontEndApp > you should receive a pop-up window "Success" all access tables were successfully reconnected > Click OK > How to Use CZchemDB form will be displayed which provides instructions to search the database. Methods vary amongst samples and are noted in the database. This is a macro-enabled Microsoft ACCESS file. Your computer security must be set to medium to allow macros to be enabled. IMPORTANT: Upon opening file, click “Options” and enable content when Security Warning appears. If you are interested in adding to the database, please use the template included in this zip file. If any questions arise, contact Jennifer Williams,, to facilitate your data entry. The database is currently protected from public data entry access.
  • Keywords

    soil, geochemistry, soil chemistry, water chemistry

    XML Metadata

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

  • Citation for This Dataset

    Publications are noted in the database. To cite this database, please cite “Niu et al. (2011) CZChemDB and EarthChem: Advancing Management and Access of Critical Zone Geochemical Data, submitted to Applied Geochemisty”. 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

    Niu, Xianzeng; Williams, Jennifer; Brantley, Susan L.; Miller, Doug; Bills, Brian (2013). "CZO Dataset: Shale Hills, Boulder, Luquillo, JRB-SCM, Calhoun - Soil Geochemistry (2001-2013)." Retrieved 02 Apr 2020, from

  • Publications

    Primary Publications


    CZChemDB and EarthChem: Advancing management and access of critical zone geochemical data. Niu, X., Lehnert, K. A.. Williams, J., Brantley, S. L. (2011): Applied Geochemistry 26:S108–S111,

  • Acknowledgements


    National Science Foundation EAR 0819857


Shale Hills, Boulder, Luquillo, JRB-SCM CZO & more - CZChemDB

(.zip)   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

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