Climatological data were collected from a ridgetop climate station east of Niwot Ridge (B1 at 2591 m) throughout the year using an Omnidata DP219 datapod. This instrument has a sample interval of 10 minutes and maximum and minimum values are instantaneously recorded. Averages are means of 144 values and totals are totals of 144 values. Parameters measured were evapotranspiration, solar radiation, maximum temperature, minimum temperature, and mean temperature.
The lower detection limit for the DP219 temperature sensors is -17.8 degrees Celsius. Thus, if the maximum temperature was listed as -17.8 degrees Celsius, then the maximum, minimum, and average temperatures were all less than or equal to -17.8 degrees Celsius. If the maximum temperature was listed as being greater than -17.8 degrees Celsius and the minimum temperature was listed as -17.8 degrees Celsius, then the minimum and average temperatures were less than or equal to their recorded values. The instrument station was vandalized sometime between 21 June 1992 and 8 February 1993 and all data for that period were lost. Instrumentation was not replaced until 12 May 1993. The instrument station was vandalized on 20 December 2000. Instrumentation was not replaced until 08 May 2002.Metadata for other B1 data sources:http://niwot.colorado.edu/exec/meta_data/b-1hobo.hourly.jm.meta.txthttp://niwot.colorado.edu/meta_data/b-1mtape.ml.meta.txthttp://niwot.colorado.edu/exec/meta_data/b-1preci.ml.meta.txtPod storage filled on 23 February 1997, so no data from then until 16 May 1997.
NOTE: While we strive to produce high-quality accurate data, sometimes errors may occur and data is subject to revision at any time. If you notice an error, please contact the data manager at email@example.com
B1, Meteorological, Met, Air Temperature, Climate, Air T, Solar Radiation, Evapotranspiration
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Citation for This Webpage
Mark Losleben (2000). "CZO Dataset: B1 Historical Site - Air Temperature, Solar Radiation (1987-2000) - B1 Historical AirT Site (B1_Hist_AirT)." Retrieved 08 Apr 2020, from http://criticalzone.org/boulder/data/dataset/6521/
Data Use Policy
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
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.
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