Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
| 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 10.1 MB | |
| Created: | Sep 09, 2025 at 4:47 a.m. (UTC) | |
| Last updated: | Sep 09, 2025 at 5:01 a.m. (UTC) | |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
|---|---|
| Views: | 48 |
| Downloads: | 0 |
| +1 Votes: | Be the first one to this. |
| Comments: | No comments (yet) |
Abstract
This dataset contains hand-labeled classifications of baseflow-dominant (BFD) periods from 182 USGS stream gages across the continental United States, representing the first systematically developed ground-truth dataset for baseflow period identification. The dataset encompasses daily streamflow records spanning from 1890-2024, with each record classified as either baseflow-dominant (BFD=1) or non-baseflow-dominant (BFD=0) based on expert hydrological analysis using graphical hydrograph separation principles. BFD periods were identified as flow conditions occurring without quickflow contributions, focusing on streamflow magnitude relative to long-term averages, hydrograph stability during recession periods, and characteristic slope patterns of baseflow behavior. Quality assurance included independent labeling by multiple experts to ensure consistency and reliability. This benchmark dataset enables systematic evaluation of automated BFD identification algorithms, supports machine learning model development, and facilitates continental-scale hydrological research for improved low-flow forecasting and groundwater-surface water interaction assessments.
Subject Keywords
Coverage
Spatial
Content
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment