Variables: Julian Day, Decimal Time of Day, Electrical Conductivity (dS/m), Electrical Conductivity (dS/m), Electrical Conductivity (dS/m), Electrical Conductivity (dS/m), Electrical Conductivity (dS/m), Electrical Conductivity (dS/m), Electrical Conductivity (dS/m), Electrical Conductivity (dS/m)
Date Range: (2009-2013)
Dataset Creators/Authors: Lin, Henry
Contact: Dr. Henry Lin, Crop and Soil Science, The Pennsylvania State University, 444 Agricultural Sciences and Industries Building, University Park, PA. 814-865-6726 firstname.lastname@example.org
soil, water, hydrology, hydropedology, soil science, soil temperature
XML is in ISO-19115 geographic metadata format, compatible with ESRI Geoportal Server.
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.
Lin, Henry (2013). "CZO Dataset: Shale Hills - Hydropedologic Properties, Electrical Conductivity (2009-2013)." Retrieved 17 Jul 2019, from http://criticalzone.org/shale-hills/data/dataset/2602/
Soil moisture patterns in a forested catchment: A hydropedological perspective. Lin, H.S., Kogelmann, W., Walker, C., and Bruns, M.A. (2006): Geoderma 131:345-368.
Controls and Frequency of Preferential Flow Occurrence: A 175-event Analysis. Graham, C., and Lin, H.S. (2011): Vadose Zone Journal 10:816-831
Opening the "Black Box": Water Chemistry Reveals Hydrological Controls on Weathering in the Susquehanna Shale Hills Critical Zone Observatory . Jin, L., Andrews, D.M., Holmes, G.H., Lin, H., and Brantley, S.L. (2011): Vadose Zone Journal 10:928-942,
Evidence of Subsurface Preferential Flow Using Soil Hydrologic Monitoring in the Shale Hills Catchment . Lin, H.S., and Zhou, X. (2008): European Journal of Soil Science 59:34–49.
Temporal stability of soil moisture spatial pattern and subsurface preferential flow pathways in the Shale Hills Catchment. Lin, H.S. (2006): Vadose Zone Journal 5:317-340.
Temporal Dynamics of Soil Moisture Spatial Variability in the Shale Hills Critical Zone Observatory. Takagi, K. and H.S. Lin. (2011): Vadose Zone Journal 10:832-842,
(html) Data Level 1, Metadata
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.
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