Variables: pH, Temperature, Specific conductance, Alkalinity_ total, Oxygen-18, Deuterium, Water level, Calcium, Potassium, Magnesium, Manganese, Sodium, Silicon, Sulfur
Standard Variables: Alkalinity, total|Calcium|Deuterium|Magnesium|Manganese|Oxygen-18|pH|Potassium, dissolved|Silicon|Sodium, dissolved|Specific conductance|Sulfur|Temperature|Water level
Date Range: (2012-2012)
Dataset Creators/Authors: Karwan, Diana L.; Lazareva, Olesya
Contact: Olesya Lazareva, University of Delaware Environmental Institute, Newark DE , 19716 Diana L. Karwan, Department of Forest Resources, University of Minnesota, St. Paul, MN 55108
Field Area: Agricultural Endmember: South Branch Doe Run | Boulton Run | Transect A
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.