Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...

Data and Code release: STICr: An open-source package and workflow for Stream Temperature, Intermittency, and Conductivity (STIC) data
Authors:
Owners: This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
Type: Resource
Storage: The size of this resource is 37.1 MB
Created: Mar 25, 2025 at 6:14 p.m.
Last updated: Apr 10, 2025 at 2:31 p.m.
Citation: See how to cite this resource
Sharing Status: Public
Views: 24
Downloads: 0
+1 Votes: Be the first one to 
 this.
Comments: No comments (yet)

Abstract

This resource contains the data and code associated with the manuscript "STICr: An open-source package and workflow for Stream Temperature, Intermittency, and Conductivity (STIC) data" by Zipper et al.

Full citation:
[ADD HERE]

Paper abstract:
Non-perennial streams constitute over half the world’s stream miles but are not commonly included in streamflow monitoring networks. Stream Temperature, Intermittency, and Conductivity (STIC) loggers are widely used for characterizing flow presence or absence in non-perennial streams. To facilitate ‘FAIR’ (findable, accessible, interoperable, and reusable) stream intermittency science, we present an open-source R package, STICr, for processing STIC logger data. STICr includes functions to tidy data, calibrate sensors, classify data into wet/dry readings, and perform quality checks and validation. We also show a reproducible STICr-based workflow for an interdisciplinary project spanning multiple watersheds, years, and research groups. In South Fork Kings Creek (Konza Prairie, Kansas, USA), we show that stream intermittency is driven by the balance between monthly precipitation inputs, seasonal evapotranspiration fluxes, and underlying geology. Overall, STICr can be used to create FAIR stream intermittency data and enable advances in hydrologic and ecosystem science.

Subject Keywords

Content

README.md

Resource description

Contents

  • raw_hobo_data.csv = Example raw HOBO data exported from HoboWare.
  • STICr-main-b87aea4.zip = zipped version of STICr package at the time of manuscript publication (v1.0, commit b87aea430321eb857566ed72cd6bc6ecb4c47fb1).
    • The development version of STICr is available on GitHub: https://github.com/HEAL-KGS/STICr
    • The release version of STICr is available on CRAN: https://cran.r-project.org/package=STICr
  • AIMS_STIC_GP-main-96ff115.zip = Zipped version of repository with data/code used to generate figures in manuscript (commit 96ff115).
    • GitHub repository link: https://github.com/samzipper/AIMS_STIC_GP
    • The full collection of STIC data from Konza Prairie is available in this related resource: Zipper, S., C. Wheeler, A. Sommerville (2024). Kings Creek (Konza Prairie) Stream Temperature, Intermittency, and Conductivity Data (AIMS_GP_KNZ_approach1_STIC), HydroShare, http://www.hydroshare.org/resource/77d68de62d6942ceab6859fc5541fd61
  • AIMS_stic_pipeline-main-20758c8.zip = Zipped version of repository with AIMS STIC processing pipeline described in manuscript (commit 20758c8).
    • GitHub repository link: https://github.com/HEAL-KGS/AIMS_stic_pipeline

Related Resources

This resource conforms to established standard described by Burke, E., J. Wilhelm, S. Zipper, C. Brown (2024). AIMS SOP STIC Calibration, HydroShare, http://www.hydroshare.org/resource/9f2027c779d64149be32bdb9eede54f2
This resource conforms to established standard described by Godsey, S., C. Wheeler, S. Zipper (2024). AIMS SOP STIC Deployment and Maintenance, HydroShare, http://www.hydroshare.org/resource/c82a87a6c63445029d3513126024138
The content of this resource references Zipper, S., C. Wheeler, A. Sommerville (2024). Kings Creek (Konza Prairie) Stream Temperature, Intermittency, and Conductivity Data (AIMS_GP_KNZ_approach1_STIC), HydroShare, http://www.hydroshare.org/resource/77d68de62d6942ceab6859fc5541fd61

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
U.S. National Science Foundation Aquatic Intermittency Effects of Microbiomes on Streams 2019603

How to Cite

Zipper, S. (2025). Data and Code release: STICr: An open-source package and workflow for Stream Temperature, Intermittency, and Conductivity (STIC) data, HydroShare, http://www.hydroshare.org/resource/6044c6b7204e4013873f13b1a502e4a0

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

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

Comments

There are currently no comments

New Comment

required