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| Type: | Resource | |
| Storage: | The size of this resource is 3.0 GB | |
| Created: | Jul 05, 2025 at 7:15 p.m. (UTC) | |
| Last updated: | Sep 08, 2025 at 8:44 p.m. (UTC) | |
| Published date: | Sep 08, 2025 at 8:44 p.m. (UTC) | |
| DOI: | 10.4211/hs.0c9c4c2fe8914690af8b3c8495503d7c | |
| Citation: | See how to cite this resource | |
| Content types: | CSV Content |
| Sharing Status: | Published |
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Abstract
Stream metabolism, encompassing gross primary production and ecosystem respiration, reflects the fundamental energetic dynamics of freshwater ecosystems. These processes regulate the concentrations of dissolved gases like oxygen and carbon dioxide, which in turn shape aquatic food webs and ecosystem responses to stressors such as floods, drought, and nutrient loading. Historically difficult to quantify, stream metabolism is now measurable at high temporal resolution thanks to advances in sensor technology and modeling. The StreamPULSE dataset includes high-frequency sensor data, metadata, and modeled estimates of ecosystem metabolism. This living dataset contributes to a growing body of open-access data characterizing the metabolic pulse of stream ecosystems worldwide.
To contribute to StreamPULSE, visit data.streampulse.org. All data contributed to StreamPULSE become public after an optional embargo period. Use this publication to access annual data releases, or use data.streampulse.org to download new data as they become available.
Subject Keywords
Coverage
Spatial
Temporal
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Content
README.txt
. ├── basic_site_data.csv site-level metadata ├── daily_model_results.csv metabolism model summaries ├── grab_data.csv field data from opportunistic sampling at StreamPULSE sites ├── model_summary_data.csv metabolism model specifications and diagnostics ├── external_links.txt links to related datasets (NEON, NWIS metabolism) ├── README.txt this file ├── inputdata_neon.zip metabolism model input time series (NEON) ├── inputdata_streampulse.zip metabolism model input time series (StreamPULSE) ├── metadata.zip attribute-level metadata corresponding to each of the files listed here ├── reach_characterization_datasets.zip field data from longitudinal surveys and reach characterizations at StreamPULSE sites ├── sp_model_objects.zip trimmed streamMetabolizer output objects └── supplementary_site_metadata.zip unstructured site-level metadata added by streamPULSE contributors
Additional Metadata
| Name | Value |
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| Where are the file/attribute-level metadata? | In metadata.zip |
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 | Defining Stream Biomes to Better Understand and Forecast Stream Ecosystem Change | 1442439 |
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 |
|---|---|---|---|---|
| Kelly Addy | University of Rhode Island | |||
| Lauren DeVito | University of Florida | |||
| Karin Emanuelson | Colorado State University | Colorado, US | ||
| Amalia Handler | United States Environmental Protection Agency | |||
| Emily Taylor | University of Florida | |||
| Shai Arnon | ||||
| Sam Blackburn | ||||
| Reed Chasmar | United States Geological Survey | |||
| Robert Thomas Hensley | University of Florida | |||
| Michelle Kelly | Michigan Technological University | MI, US | ||
| Rachel Pilla | Oak Ridge National Laboratory | |||
| Jody Potter | University of New Hampshire;UNH Water Quality Analysis Lab | NH, US | ||
| Alexander J. Reisinger | University of Florida | |||
| Miguel C Leon | University of New Hampshire | PA, US | +1 (126) 729-4686 | |
| National Ecological Observatory Network | NEON | |||
| Ryan Parks | Duke University | |||
| Keridwen McLeyne Whitmore | University of North Carolina at Chapel Hill | NC, US | ||
| Matt Trentman | University of Notre Dame | |||
| Matthew Wilken | University of Notre Dame |
How to Cite
These data are available under the Open Data Commons Attribution License. In summary, you are free to use, copy, distribute, modify, and build upon the dataset, so long as you attribute any public use of the dataset, or works produced from the dataset, in the manner specified in the license. Essentially, you must keep intact and make clear the license of the dataset. Consult license text for specifics.
https://opendatacommons.org/licenses/by/1-0/
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