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| Type: | Resource | |
| Storage: | The size of this resource is 13.5 MB | |
| Created: | Jun 25, 2025 at 8:51 p.m. (UTC) | |
| Last updated: | Apr 16, 2026 at 1:59 p.m. (UTC) (Metadata update) | |
| Published date: | Apr 16, 2026 at 1:59 p.m. (UTC) | |
| DOI: | 10.4211/hs.7ba0650cdac54104b2cd81098ab0cf0a | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 52 |
| Downloads: | 2 |
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Abstract
Johnston Draw is a 1.8-km2 watershed in southwestern Idaho, USA (outlet location: 43.1226, -116.776) located within the Reynolds Creek Critical Zone Observatory in western Idaho, a research center with cattle grazing. Elevation ranges from approximately 1490m to 1850m. The mean annual precipitation in the watershed is 550 mm/yr with rainfall occurring at the lower elevations and snowfall, resulting in large drifts, at the higher elevations (Godsey et al., 2018). Mean annual temperatures range from 8.9C at the bottom of watershed and 4.7C near the top.
These data were collected in support of the sampling goals of the Aquatic Intermittency effects on Microbiomes in Streams (AIMS) Project. These sensors were set to collect temperature and conductivity data every 15 minutes. Each .csv file is associated with a single site for a single year.
Naming convention
Guide to interpreting file names using STIC_MW_JDR_JDR28_HS_.2023csv as an example:
- "STIC_MW_JDR_" = same for all sites, indicating it is STIC data from the Mountian West region and the Johnston Draw watershed.
- "JDR28" = site code, corresponding to the location of the STIC within the watershed
- "HS" = sublocation, corresponding to the placement of the STIC at that site. All data in this resource was collected from sensors with a "HS" sublocation, meaning the STIC was placed at a high spot in the stream thalweg, and a wet reading is interpreted as an indicator of flowing surface water connection within the stream network.
- "2023" = year of STIC data included in file.
Methodological details:
STIC sensors were deployed in 2021 following the methods described here: http://www.hydroshare.org/resource/c82a87a6c63445029d35131260241386
STIC sensors were calibrated following the methods described here: http://www.hydroshare.org/resource/9f2027c779d64149be32bdb9eede54f2
A detailed description of the processing and classification workflow is available in Zipper et al: https://eartharxiv.org/repository/view/4909/
Due to data logger errors, maintenance, etc. there are not data for all sites at all timesteps.
Further information for all data fields can be found in the "Data Types" tab of this ReadME. Sensors recorded relative conductivity (here, condUncal) and used in conjunction with multi-point lab calibration curves to calculate wetdry and SpC fields. The lowest point on the standard curve was water with an SpC of 0, which represented the lowest possible condUncal that would yield a "wet" value. This zero was used as a threshold, and wetdry was calculated such that anything below this threshold was "dry" (wetdry = 0) and anything above was "wet" (wetdry = 1). Additionally, the rest of the standard curve was used to build a relationship between condUncal and SpC, and this linear model was applied to the condUncal to calculate SpC.
The qual_rating flags are (Details in Zipper et al):
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.
The QAQC flags are denoted as follows; if multiple flags were generated, they were concatenated:
NA : no flags, data passes checks
C : calibration curve yielded a negative value for SpC, changed to a value of 0 manually
O : SpC value is higher than the highest measured Calibration point, and is therefore off the calibration curve
D : wetdry reading flagged as a potential anomaly (i.e., short period of dry surrounded by long period of wet, calculated using a moving window z-score of condUncal values)
T : wetdry reading interpreted from temperature data
Subject Keywords
Coverage
Spatial
Temporal
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Content
Related Resources
| The content of this resource can be executed by | Godsey, S., C. Wheeler, S. Zipper (2024). AIMS SOP STIC Deployment and Maintenance, HydroShare, http://www.hydroshare.org/resource/c82a87a6c63445029d35131260241386 |
| The content of this resource can be executed by | Burke, E., J. Wilhelm, S. Zipper, C. Brown (2024). AIMS SOP STIC Calibration, HydroShare, http://www.hydroshare.org/resource/9f2027c779d64149be32bdb9eede54f2 |
| The content of this resource references | Kraft, M., M. Sclafani, M. Busch, K. Lohse, S. Godsey (2025). Johnston Draw, ID Environmental Data (AIMS_MW_JDR_ENVI), HydroShare, http://www.hydroshare.org/resource/e3d9bef2ced54f23b3d720df9934bba3 |
| Title | Owners | Sharing Status | My Permission |
|---|---|---|---|
| Hydrologic controls on diel dissolved oxygen regimes in non-perennial streams | Connor Brown | Discoverable & Shareable | Open Access |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| U.S. National Science Foundation | Aquatic Intermittency Effects of Microbiomes on Streams | 2019603 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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