Process-guided deep learning water temperature predictions: 6 Model evaluation (test data and RMSE)
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1810.02880.pdf
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Dates
Metadata Created Date | June 1, 2023 |
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Metadata Updated Date | June 15, 2024 |
Metadata Source
- Data.json Data.json Metadata
Harvested from DOI EDI
Additional Metadata
Resource Type | Dataset |
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Metadata Created Date | June 1, 2023 |
Metadata Updated Date | June 15, 2024 |
Publisher | Climate Adaptation Science Centers |
Maintainer | |
@Id | http://datainventory.doi.gov/id/dataset/eda9bcfd405808d0d2678630b50bfdf8 |
Identifier | 9398d538-2097-4924-b252-54ae9eb5422a |
Data Last Modified | 2020-08-20 |
Category | geospatial |
Public Access Level | public |
Bureau Code | 010:00 |
Metadata Context | https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld |
Metadata Catalog ID | https://datainventory.doi.gov/data.json |
Schema Version | https://project-open-data.cio.gov/v1.1/schema |
Catalog Describedby | https://project-open-data.cio.gov/v1.1/schema/catalog.json |
Harvest Object Id | 90915015-2170-43ab-b5ac-06bbf72c274a |
Harvest Source Id | 52bfcc16-6e15-478f-809a-b1bc76f1aeda |
Harvest Source Title | DOI EDI |
Metadata Type | geospatial |
Old Spatial | -94.2609062308,42.5692312673,-87.9475441739,48.6427837912 |
Source Datajson Identifier | True |
Source Hash | d0590c5fbd46bb238524b46117fdde5105c87c137bfc52785048b184e24b044d |
Source Schema Version | 1.1 |
Spatial | {"type": "Polygon", "coordinates": -94.2609062308, 42.5692312673, -94.2609062308, 48.6427837912, -87.9475441739, 48.6427837912, -87.9475441739, 42.5692312673, -94.2609062308, 42.5692312673} |
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