Dataset

Adaptive Monitoring on the Lower Winnipeg River Basin - Real-Time Data (Raw)

Map and Visualize

The Adaptive Monitoring on the Winnipeg River project is a collaboration between IISD and Aquatic Life ® to explore the use of high-frequency sensors that deliver data in near real-time via satellites and mobile data networks to better understand freshwater.


Version 3.1.0
DOI https://doi.org/10.25976/wrkf-8c70
Data Steward Email eladata@iisd-ela.org
Data Collection Organization International Institute for Sustainable Development Experimental Lakes Area (IISD-ELA); Aquatic Life Ltd.
Data Upload Organization International Institute for Sustainable Development Experimental Lakes Area (IISD-ELA)
Progress Code onGoing
Maintenance Frequency Code asNeeded
Topic Category Code inlandWaters
Keywords water quality, winnipeg river, algal blooms, nutrient loading
Spatial Extent -96.034° 50.105°, -95.874° 50.146° (W S, E N)
Temporal Extent 2021-05-28 to 2023-11-03
Date Published
Alternate Formats FGP-HNAP ISO:19115-2 (XML) , W3C DCAT (XML) , W3C DCAT (JSON-LD)

Citation

International Institute for Sustainable Development Experimental Lakes Area (IISD-ELA); Aquatic Life Ltd.. 2023-11-22. "Adaptive Monitoring on the Lower Winnipeg River Basin - Real-Time Data (Raw)" (dataset). 3.1.0. DataStream. https://doi.org/10.25976/wrkf-8c70.

Funding Sources

This program was funded in part by RBC Tech for Nature.

Data Collection Information

Data is collected on an hourly basis using AquaHive networked data loggers. The AquaHive is equipped with an In-Situ Aqua TROLL multi-parameter sonde and a s::can spectro::lyser v2 spectral sensor.

Attribution Licence (ODC-By) v1.0

You are free to share, copy, distribute, use, modify, transform, build upon, and produce works from the data as long as you attribute any public use of the data, or works produced from the data, in the manner specified in the licence. For any use or redistribution of the data, or works produced from it, you must make clear to others the licence of the data and keep intact any notices on the original data. https://opendatacommons.org/licenses/by/1-0/

Data Disclaimer

Sensor errors may occur. In some cases, erroneous data was removed, but more recent data may not have been checked for sensor errors or drift. Missing data points may also correspond to periods where the sensors were removed for the winter or for calibration.

API Access

curl -G https://api.datastream.org/v1/odata/v4/Records --data-urlencode "\\$filter=DOI eq '10.25976/wrkf-8c70'" -H "x-api-key: PRIVATE-API-KEY"

Changelog

v3.1.0

Automated Integration

Schema v2.17.3
Digest SHA3-256=9e2c6fa3f134d039e19e0fb19c5b04b90b2d028a9f14740244941459df1fc6fa
File size 7.68 KB
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v3.0.0

Changed from manual to automated data uploads

Schema v2.17.3
Digest SHA3-256=97e746a9491eaa4041f769df90ac6450f8640ed0a3823cee86b40944945cff26
File size 49 MB
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v2.0.0

Update to metadata

v1.0.0

initial submission

Schema v2.14.1
Digest SHA3-256:8d2ff87cd6173d23db7ed1572e0ffa77562c81ffd7fcda927dbdcc73b27dfd85
File size 20.18 MB
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