Dataset Listing

Shale Hills - Soil Moisture - Shale Hills RTH Soil Moisture Data (2009-2012)

Level 1 - Quality-Controlled Data

Variables:  Timestamp, volumetric water content (m3/m3), volumetric water content (m3/m3), volumetric water content (m3/m3), volumetric water content (m3/m3), volumetric water content (m3/m3), volumetric water content (m3/m3), volumetric water content (m3/m3), volumetric water content (m3/m3), volumetric water content (m3/m3)

Date Range:  (2009-2012)

Dataset Creators/Authors:  Duffy, Christopher J.

Contact:  Dr. Christopher J. Duffy, Professor of Civil & Environmental Engineering, The Pennsylvania State University, 212 Sackett Building, University Park, PA 16802, (814) 863-4384 cxd11@psu.edu.

Field Area:   Susquehanna Shale Hills Critical Zone Observatory

Description
Keywords & XML
Citation
  • Description

    Quality assured soil moisture from three sets of nested (depths 0.1, 0.3 and 0.5 m) soil moisture probes (sensor: Decagon Echo2) at RTH2 network. Sensor were grouped 1-3 (lat:40.6653204 long:-77.9031097; ground elevation: 279.87 m),4-6 (lat:40.6653006 long:-77.9032492; ground elevation: 279.76 m), 7-9 (lat:40.6652192 long:-77.9031565; ground elevation: 277.15 m), with sensors 1,4 and 7 located at a depth 0.1 m and sensors 3,6 and 9 at a depth of 0.5 m. The Real-Time Hydrology Network provides integrated observation from bedrock to boundary layer of the Shale Hills Susquehanna Critical Zone Observatory watershed. "Off-the-shelf” Internet Protocol (IP) compliant climate stations, eddy covariance flux stations, stream gauging, soil moisture profilers, and pressure transducers for monitoring groundwater levels comprise a series of real-time Internet-accessible sensor arrays that support research and educational efforts investigating interactions between the atmosphere,
    surface and subsurface terrestrial processes, and the riverine hydrologic system. Quality assured soil moisture from three sets of nested (depths 0.1, 0.3 and 0.5 m) soil moisture probes (sensor: Decagon Echo2) at RTH3 network. Sensor were grouped 1-3 (lat:40.6645848 long:-77.9054530; ground elevation: 266.06 m),4-6 (lat:40.6645169 long:-77.9055588; ground elevation: 265.16 m), 7-9 (lat:40.6645108 long:-77.9053428; ground elevation: 265.84 m), with sensors 1,4 and 7 located at a depth 0.1 m and sensors 3,6 and 9 at a depth of 0.5 m. The Real-Time Hydrology Network provides integrated observation from bedrock to boundary layer of the Shale Hills Susquehanna Critical Zone Observatory watershed. "Off-the-shelf” Internet Protocol (IP) compliant climate stations, eddy covariance flux stations, stream gauging, soil moisture profilers, and pressure transducers for monitoring groundwater levels comprise a series of real-time Internet-accessible sensor arrays that support research and educational efforts investigating interactions between the atmosphere,
    surface and subsurface terrestrial processes, and the riverine hydrologic system.
  • Keywords

    hydrology, soil, water, moisture

    XML Metadata

    criticalzone.org/national/data/xml-metadata-test/3615/

    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

    Duffy, Christopher J. (2012). "CZO Dataset: Shale Hills - Soil Moisture (2009-2012) - Shale Hills RTH Soil Moisture Data." Retrieved 21 Apr 2019, from http://criticalzone.org/national/data/dataset/3615/

Data

Shale Hills - RTH2 Soil Moisture - 2009 -2011

(xlsx)   Data Level 1,  Metadata

Shale Hills - RTH2 Soil Moisture - 2009

(.dat)   Data Level 1,  Metadata

Shale Hills - RTH2 Soil Moisture - 2010

(.dat)   Data Level 1,  Metadata

Shale Hills - RTH2 Soil Moisture - 2011

(.dat)   Data Level 1,  Metadata

Shale Hills - RTH3 Soil Moisture - 2009 - 2012

(xlsx)   Data Level 1,  Metadata

Shale Hills - RTH3 Soil Moisture - 2009

(.dat)   Data Level 1,  Metadata

Shale Hills - RTH3 Soil Moisture - 2010

(.dat)   Data Level 1,  Metadata

Shale Hills - RTH3 Soil Moisture - 2011

(.dat)   Data Level 1,  Metadata

Shale Hills - RTH3 Soil Moisture - 2012

(.dat)   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.

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