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cracsoc:10.1021/acs.est.9b05000.s001
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openpolar
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cracsoc:10.1021/acs.est.9b05000.s001 2024-02-27T08:36:46+00:00 Deep Learning Prediction of Polycyclic Aromatic Hydrocarbons in the High Arctic 2020-04-07T21:01:56Z http://dx.doi.org/10.1021/acs.est.9b05000.s001 unknown American Chemical Society (ACS) component 2020 cracsoc https://doi.org/10.1021/acs.est.9b05000.s001 2024-01-30T08:07:13Z Other/Unknown Material Arctic ACS Publications Arctic
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institution |
Open Polar
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collection |
ACS Publications
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op_collection_id |
cracsoc
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language |
unknown
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format |
Other/Unknown Material
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title |
Deep Learning Prediction of Polycyclic Aromatic Hydrocarbons in the High Arctic
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spellingShingle |
Deep Learning Prediction of Polycyclic Aromatic Hydrocarbons in the High Arctic
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title_short |
Deep Learning Prediction of Polycyclic Aromatic Hydrocarbons in the High Arctic
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title_full |
Deep Learning Prediction of Polycyclic Aromatic Hydrocarbons in the High Arctic
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title_fullStr |
Deep Learning Prediction of Polycyclic Aromatic Hydrocarbons in the High Arctic
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title_full_unstemmed |
Deep Learning Prediction of Polycyclic Aromatic Hydrocarbons in the High Arctic
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title_sort |
deep learning prediction of polycyclic aromatic hydrocarbons in the high arctic
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publisher |
American Chemical Society (ACS)
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publishDate |
2020
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url |
http://dx.doi.org/10.1021/acs.est.9b05000.s001
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geographic |
Arctic
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geographic_facet |
Arctic
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genre |
Arctic
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genre_facet |
Arctic
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op_doi |
https://doi.org/10.1021/acs.est.9b05000.s001
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_version_ |
1792043686614269952
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