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South Fork Kings Creek (Konza) Stream Temperature, Intermittency, and Conductivity Data


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Created: Jul 13, 2023 at 3:18 p.m.
Last updated: Aug 15, 2023 at 7:27 p.m.
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Sharing Status: Public
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Abstract

This resource contains data from stream temperature, intermittency, and conductivity (STIC) loggers placed in the South Fork of Kings Creek in Konza Prairie (KS, USA) for May 21, 2021 to December 31, 2022 at 15 minute resolution as part of the NSF-funded Aquatic Intermittency effects on Microbiomes in Streams (AIMS) project (award IOA #2019603).

The file KNZ_SiteInfo.csv contains site locations for each sensor and has three fields:
- siteID = name of site
- lat = latitude of site
- long = longitude of site

The files KNZ_AllSTICsCleaned_20210522-20211231.csv and KNZ_AllSTICsCleaned_20220101-20221231.csv contain the 2021 and 2022 data, respectively, and have the following fields:
- datetime = date and time of reading (time zone = UTC).
- siteID = name of site for linking to file KNZ_SiteInfo.csv
- SN = serial number of STIC logger used for that reading.
- sublocation = "HS" or "LS". "HS" indicates the STIC was placed at a high spot on the thalweg, and a wet reading is interpreted as an indicator of a flowing surface water connection within the stream network. "LS" indicates the STIC was placed as a low spot in the thalweg, and a wet reading is interpreted as an indicator of water present in a pool feature.
- condUncal = uncalibrated (raw) conductivity output from the STIC
- tempC = temperature [degrees Celsius]
- SpC = specific conductviity in us/cm
- wetdry = binary classification of "wet" (water present) or "dry" (no water present) for that timestep
- qual_rating = qualitative data rating crit (described below)
- QAQC = flags from data QAQC process (described below)

Due to data logger errors, maintenance, etc. there are not data for all sites at all timesteps.

qual_rating description:
- "excellent" = STIC was (1) calibrated prior to deployment, and (2) stayed operational throughout 95% of the download period, and (3) was not displaced from streambed (i.e., the external electrodes were within 1 cm from stream bed at the time of download indicating minimal erosion/deposition), and (4) data from sensor roughly agree with field observations of wet/dry (i.e., >1000 Lux sensor reading on day of removal corresponds to field observations of water at STIC).
- "good" = (1) STIC stayed operational throughout the entire download period, and (2) the external electrodes were within 1 cm from stream bed at the time of download, and (3) data from sensor roughly agree with field observations of wet/dry, but (4) the STIC was not calibrated prior to deployment.
- "fair" = (1) STIC stayed operational throughout 75% or more of the download period, and (2) data roughly agree with field observations, and/or (3) the external electrodes were between 1-3 cm from streambed at the time of download.
- "poor" = (1) STIC stayed operational throughout less than 75% of the download period, and/or (2) the external electrodes were >3 cm from streambed at the time of download, and/or (3) data does NOT agree with field observations.

QAQC description:
- "N" = application of calibration curve resulted in negative value for SpC; this was changed to a value of 0.
- "A" = wetdry reading flagged as a potential anomaly (i.e., short period of dry surroudned by long period of wet or vice versa)
An empty field here indicates no flags were generated. If multiple flags were generated, they were concatenated.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Konza Prairie
North Latitude
39.0943°
East Longitude
-96.5610°
South Latitude
39.0730°
West Longitude
-96.5972°

Temporal

Start Date:
End Date:

Content

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Science Foundation (NSF) Aquatic Intermittency effects on Microbiomes in Streams (AIMS) IOA #2019603

Contributors

People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.

Name Organization Address Phone Author Identifiers
Amy Burgin University of Kansas KS, US
Sarah Flynn University of Kansas KS, US

How to Cite

Wheeler, C., S. Zipper (2023). South Fork Kings Creek (Konza) Stream Temperature, Intermittency, and Conductivity Data, HydroShare, http://www.hydroshare.org/resource/d9510181f4164a5eba063d75e3fd1395

This resource is shared under the Creative Commons Attribution-ShareAlike CC BY-SA.

http://creativecommons.org/licenses/by-sa/4.0/
CC-BY-SA

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