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1935. University of Richmond. Digital Scholarship Lab. GeoJSON containing digitized polygons showing graded neighborhoods as designated by the Home Owners' Loan Corporation (HOLC) in 1935. Polygons were... University of Richmond. Digital Scholarship Lab.
2024. Aljubran, Mohammad J. and Horne, Roland N. This is a temperature-at-depth model for the conterminous Untied States, at 0 kilometers. It involves multiple physical quantities, such as bottomh...
2024. Aljubran, Mohammad J. and Horne, Roland N. This is a temperature-at-depth model for the conterminous Untied States, at 1 kilometer. It involves multiple physical quantities, such as bottomho...
2024. Aljubran, Mohammad J. and Horne, Roland N. This is a temperature-at-depth model for the conterminous Untied States, at 2 kilometers. It involves multiple physical quantities, such as bottomh...
2024. Aljubran, Mohammad J. and Horne, Roland N. This is a temperature-at-depth model for the conterminous Untied States, at 3 kilometers. It involves multiple physical quantities, such as bottomh...
2024. Aljubran, Mohammad J. and Horne, Roland N. This is a temperature-at-depth model for the conterminous Untied States, at 0 kilometers. It involves multiple physical quantities, such as bottomh...
2024. Aljubran, Mohammad J. and Horne, Roland N. This is a temperature-at-depth model for the conterminous Untied States, at 5 kilometers. It involves multiple physical quantities, such as bottomh...
2024. Aljubran, Mohammad J. and Horne, Roland N. This is a temperature-at-depth model for the conterminous Untied States, at 6 kilometers. It involves multiple physical quantities, such as bottomh...
2024. Aljubran, Mohammad J. and Horne, Roland N. This is a temperature-at-depth model for the conterminous Untied States, at 7 kilometers. It involves multiple physical quantities, such as bottomh...
Aljubran, Mohammad J. and Horne, Roland N. This study presents a data-driven spatial interpolation algorithm based on graph neural networks to develop national temperature-at-depth maps for ...