Data:AI&ML Challenge Dataset: Difference between revisions
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{{Data description | {{Data description | ||
|One-line data description=Dataset for | |One-line data description=Machine Learning Challenge Dataset for the Seabed | ||
|Extended data description=Data | |Extended data description=Data for use with ML, dealing with the sediment/rock substrates of NE USA Margin. Training data from seabed observations should be spatially extended over the entire area in an intelligent way. To aid that environmental Feature Layers are employed to train various Machine Learning methods on the sample data then the results are extended across all the vacant areas. The result predicts what the seabed is made of, so that survey operations (including research) can be planned, or biogeochemical budgets can be calculated. | ||
|Upload image dataset=AI&ML Logo.png | |Upload image dataset=AI&ML Logo.png | ||
|Caption dataset image=CSDMS AI&ML Initative | |||
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{{Data format | {{Data format | ||
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{{Dataset coverage | {{Dataset coverage | ||
|Data spatial coverage=NE USA Margin | |Data spatial coverage=NE USA Continental Margin | ||
|Data temporal coverage=Time averaged | |Data temporal coverage=Time averaged | ||
|Data time period covered=Post 1930 | |Data time period covered=Post 1930 | ||
Revision as of 11:11, 21 May 2019
AI&ML Challenge Dataset dataset information page
Short Description
| CSDMS AI&ML Initative |
Statement: Machine Learning Challenge Dataset for the Seabed
Abstract: Data for use with ML, dealing with the sediment/rock substrates of NE USA Margin. Training data from seabed observations should be spatially extended over the entire area in an intelligent way. To aid that environmental Feature Layers are employed to train various Machine Learning methods on the sample data then the results are extended across all the vacant areas. The result predicts what the seabed is made of, so that survey operations (including research) can be planned, or biogeochemical budgets can be calculated.
Data format
| Data type: | Substrates |
| Data origin: | Measured |
| Data format: | |
| Other format: | zip |
| Data resolution: | ~1km |
| Datum: | WGS84 |
Data Coverage
Spatial data coverage: NE USA Continental Margin
Temporal data coverage: Time averaged
Time period covered: Post 1930
Availability
Download data: http://instaar.colorado.edu/~jenkinsc/CSDMS AI&ML/DataChallenge/DataChallenge 4AI&ML.zip
Data source: http://instaar.colorado.edu/~jenkinsc
