ABSTRACT:

This collection includes data collected at Red Canyon Ranch and along Red Canyon Creek as part of a NSF-funded project to study the impacts of beaver dam analogues (BDAs) on hydrological processes and geomorphological change.

This collection includes:
-Drone imagery collected in July 2021, July 2022, and July 2023
-Water table observations from four transects of three wells each (12 wells total), May 2022 through July 2023
-Watershed model code to predict streamflow at the watershed outlet

ABSTRACT:

Orthoimagery collected via unoccupied aerial vehicle at Red Canyon Ranch. The imagery is split into two pieces - one on the lower section of Red Canyon Creek (LRCC), and one in the middle section of Red Canyon Creek (MRCC). Imagery was collected on July 13 and 14, 2021. Imagery was post-processed in Pix4D software to create a stitched orthoimage. At the time the imagery was collected, three beaver dam analogues (BDAs) were present along the lower section of Red Canyon Creek.

This material is based upon work supported by the National Science Foundation under Grant Number 2208396. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

ABSTRACT:

Orthoimagery collected via unoccupied aerial vehicle at Red Canyon Ranch. The imagery is split into two pieces - one on the lower section of Red Canyon Creek (LRCC), and one in the middle section of Red Canyon Creek (MRCC). Imagery was collected on July 25 and 26, 2023. Imagery was post-processed in Pix4D software to create a stitched orthoimage. At the time the imagery was collected, 45 beaver dam analogues (BDAs) were present along the lower section of Red Canyon Creek.

This material is based upon work supported by the National Science Foundation under Grant Number 2208396. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

ABSTRACT:

Orthoimagery collected via unoccupied aerial vehicle at Red Canyon Ranch. The imagery is split into two pieces - one on the lower section of Red Canyon Creek (LRCC), and one in the middle section of Red Canyon Creek (MRCC). Imagery was collected on July 25, 27, and 28, 2022. Imagery was post-processed in Pix4D software to create a stitched orthoimage. At the time the imagery was collected, 45 beaver dam analogues (BDAs) were present along the lower section of Red Canyon Creek.

RGB imagery was collected on July 27, 2022 at LRCC.

This material is based upon work supported by the National Science Foundation under Grant Number 2208396. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

ABSTRACT:

This dataset contains groundwater table observations from 12 wells located along Red Canyon Creek at Red Canyon Ranch. Observations were made from May 2022 through end of July 2023 along four transects (3 wells per transect). Two transects were located along a reach containing BDAs, while two transects were located above the BDA section in an unrestored portion of Red Canyon Creek, to remove the impact of BDAs on the water table observations. Each transect was located approximately 40 meters apart.

Well naming convention, locations, brief explanation of baro correction for atmospheric pressure, and 15-minute water table observations are provided in the below EXCEL file.

Water table depths were observed using Van Essen TD-divers.

Wells were drilled with a GeoProbe and consist of 5 cm diameter schedule 40 PVC. The lowest 1.5 m of each well was screened. Casings were capped with bentonite and packed with sand. Well depths were approx. 3 to 4 m.

ABSTRACT:

Watershed model code written in MATLAB (v. 2023A) to predict streamflow along Red Canyon Creek, at the watershed outlet.

The main file to run the model is a_RCC_model_aug2023_v3.m

This main file calls datasets with weather data, snow depth observations (from a local SNOTEL site), and streamflow data.

All files and functions are explained in the main m-file.

ABSTRACT:

This dataset contains an anonymized version of the data presented in the publication "The Current State of Undergraduate Hydrology Courses: A Path Forward" by Kelleher, Gannon, and Ciruzzi. The dataset contains an EXCEL file with metadata as well as several sheets with anonymized information extracted from 43 syllabi. Further details are contained in the manuscript.