Dataset Listing

Jemez River Basin - Precipitation Chemistry (2011-2018)

Valles Caldera Precipitation Chemistry and Isotope Data

Variables:  pH, Temperature, Electrical conductivity, Oxygen dissolved, Carbon dissolved inorganic, Carbon dissolved organic, Nitrogen total dissolved, Fluoride dissolved, Chloride dissolved, Nitrogen dissolved nitrite (NO2), Bromide dissolved, Phosphorus dissolved, Nitrogen dissolved nitrate (NO3), Sulfate dissolved, Phosphorus orthophosphate dissolved, Beryllium dissolved, Boron dissolved, Sodium dissolved, Magnesium dissolved, Aluminum dissolved, Silicon dissolved, Potassium dissolved, Calcium dissolved, Titanium dissolved, Vanadium dissolved, Chromium dissolved, Manganese dissolved, Iron dissolved, Cobalt dissolved, Nickel dissolved, Copper dissolved, Zinc dissolved, Germanium dissolved, Arsenic dissolved, Selenium dissolved, Strontium dissolved, Yttrium dissolved, Zirconium dissolved, Molybdenum dissolved, Silver dissolved, Cadmium dissolved, Tin dissolved, Antimony dissolved, Barium dissolved, Lanthanum dissolved, Cerium dissolved, Praseodymium dissolved, Neodymium dissolved, Samarium dissolved, Europium dissolved, Gadolinium dissolved, Terbium dissolved, Dysprosium dissolved, Holmium dissolved, Erbium dissolved, Thulium dissolved, Ytterbium dissolved, Lutetium dissolved, Thallium dissolved, Lead dissolved, Uranium dissolved, Mercury dissolved, delta-13C of DIC, delta-1D of H2O, delta-18O of H2O, Nitrogen NH4

Date Range:  (2011-03-08 to 2018-09-23)

Dataset Creators/Authors:  Jennifer McIntosh; Jon Chorover; Peter Troch; Paul Brooks; Mary Key Amistadi; Timothy Corley; Xavier Zapata-Rios; Mark Losleben; Katherine Condon; Shawn Alexander Pedron

Contact:  Jennifer McIntosh, Hydrology and Water Resources Department, University of Arizona, 1133 E. James E. Rogers Way, Tucson, AZ 85721, jenmc@email.arizona.edu; Jon Chorover, Department of Soil, Water and Environmental Science, University of Arizona, 1177 E. 4th Street, Tucson, AZ 85721, chorover@email.arizona.edu.

Field Area:   Jemez River Basin

Description
Keywords & XML
Citation
Acknowledgements
  • Description

    Precipitation (snow and rain) samples were collected around Redondo Peak using 3 bulk rainfall samplers (next to the Lower La Jara Flume under canopy coverage to sample throughfall, next to the Upper Jaramillo Flume in open space, and next to the ZOB meteorological station in open space), 2 automatic rain samplers installed in open space (one next to the Head Quarters meteorological station and one nearby the Upper Jaramillo flume), and 2 snow lysimeters and snow profile samples from various locations. Precipitation samples were analyzed for anions, cations, dissolved organic and inorganic carbon and total nitrogen, stable water isotopes, alkalinity and nutrients.

    Comments
    Data are provisional and may be subject to revision. Routine collection of samples: Scott Compton, Mark Losleben, Katherine Condon.
  • Keywords

    pH, Temperature, Oxygen, Electrical conductivity, Carbon, Nitrogen, Fluoride, Chloride, Nitrite, NO2, Bromide, Nitrate, NO3, Sulfate, Phosphorus, Beryllium, Boron, Sodium, Magnesium, Aluminum, Silicon, Potassium, Calcium, Titanium, Vanadium, Chromium, Manganese, Iron, Cobalt, Nickel, Copper, Zinc, Germanium, Arsenic, Selenium, Strontium, Yttrium, Zirconium, Molybdenum, Silver, Cadmium, Tin, Antimony, Barium, Lanthanum, Cerium, Praseodymium, Neodymium, Samarium, Europium, Gadolinium, Terbium, Dysprosium, Holmium, Erbium, Thulium, Ytterbium, Lutetium, Thallium, Lead, Uranium, Mercury, delta-13C, delta-D, delta-18O, NH4, Orthophosphate, Precipitation, Snow, Water Chemistry, cations, anions, metals, Valles Caldera, Jemez Mountains, New Mexico

    XML Metadata

    criticalzone.org/national/data/xml-metadata-test/5492/

    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 Jemez River Basin and Santa Catalina Mountains Critical Zone Observatory EAR-0724958 and EAR-1331408. Please contact investigator for detail info and let him/her know how you are planning to use this dataset.

    Citation for This Webpage

    Jennifer McIntosh; Jon Chorover; Peter Troch; Paul Brooks; Mary Key Amistadi; Timothy Corley; Xavier Zapata-Rios; Mark Losleben; Katherine Condon; Shawn Alexander Pedron (2018). "CZO Dataset: Jemez River Basin - Precipitation Chemistry (2011-2018)." Retrieved 16 Jun 2019, from http://criticalzone.org/national/data/dataset/5492/

  • Acknowledgements

    Funding

    National Science Foundation EAR-0724958
    National Science Foundation EAR-1331408

Data

Sites - Methods

(mez/)   Data Level 0

Jemez River Basin - Precipitation Chemistry 2011

(.csv)   Data Level 1,  Metadata

Jemez River Basin - Precipitation Chemistry 2012

(.csv)   Data Level 1,  Metadata

Jemez River Basin - Precipitation Chemistry 2013

(.csv)   Data Level 1,  Metadata

Jemez River Basin - Precipitation Chemistry 2014

(.csv)   Data Level 1,  Metadata

Jemez River Basin - Precipitation Chemistry 2015

(.csv)   Data Level 1,  Metadata

Jemez River Basin - Precipitation Chemistry 2016

(.csv)   Data Level 1,  Metadata

Jemez River Basin - Precipitation Chemistry 2017

(.csv)   Data Level 1,  Metadata

Jemez River Basin - Precipitation Chemistry 2018

(.csv)   Data Level 1,  Metadata,  [Private]

Data Use Policy
Data Sharing Policy
Research Groups/Foci
  • 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.

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    *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†.

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    * 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.

  • Research Groups/Foci