41 to 50 of 54,532 Results
May 15, 2026 -
AI-Enabled Synthesis of Open Source Multi-Attribute, Temporal Dataset Related to Data Centers in Virginia
Python Source Code - 9.8 KB -
MD5: d26c276bcd462dd2082256b34f8fb19a
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May 15, 2026 -
AI-Enabled Synthesis of Open Source Multi-Attribute, Temporal Dataset Related to Data Centers in Virginia
Python Source Code - 6.5 KB -
MD5: 913d9a311e43a60822b35535b9eed30c
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May 15, 2026 -
AI-Enabled Synthesis of Open Source Multi-Attribute, Temporal Dataset Related to Data Centers in Virginia
Python Source Code - 4.1 KB -
MD5: 72b72d0ab2a7146fb5f5253a8b749dc7
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May 15, 2026 -
AI-Enabled Synthesis of Open Source Multi-Attribute, Temporal Dataset Related to Data Centers in Virginia
Python Source Code - 9.1 KB -
MD5: 3f4fcdd6e518d87bfae5aa9002801fd9
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May 15, 2026 -
AI-Enabled Synthesis of Open Source Multi-Attribute, Temporal Dataset Related to Data Centers in Virginia
Python Source Code - 2.7 KB -
MD5: 4fc4ca6126e4d73f3905fa1dab874a72
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May 15, 2026 -
AI-Enabled Synthesis of Open Source Multi-Attribute, Temporal Dataset Related to Data Centers in Virginia
Python Source Code - 2.9 KB -
MD5: dab7aba029ac0b869224cd71a1c14235
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May 15, 2026 -
AI-Enabled Synthesis of Open Source Multi-Attribute, Temporal Dataset Related to Data Centers in Virginia
Python Source Code - 2.7 KB -
MD5: d81035ab20771d418f6873e445503c32
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May 15, 2026 -
AI-Enabled Synthesis of Open Source Multi-Attribute, Temporal Dataset Related to Data Centers in Virginia
Jupyter Notebook - 310.2 KB -
MD5: 8dd3d88988356ed97f52a42d7410e0f3
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May 15, 2026 -
AI-Enabled Synthesis of Open Source Multi-Attribute, Temporal Dataset Related to Data Centers in Virginia
Tabular Data - 1.2 MB - 161 Variables, 382 Observations - UNF:6:Xfi38fbR1I/lROEteajzow==
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May 14, 2026 - Biocomplexity Institute & Initiative
Mortveit, Henning S.; Adiga, Abhijin; Baek, Hannah; Bhattacharya, Parantapa; Eubank, Stephen; Machi, Dustin; Marathe, Madhav; Porebski, Przemyslaw; Swarup, Samarth; Venkatramanan, Srinivasan; Wilson, Mandy; Xie, Dawen, 2026, "Synthetic Population for California, US (ver. 2.5.0)", https://doi.org/10.18130/V3/A7DQWM, University of Virginia Dataverse, V1, UNF:6:i+YB7Rre5h9cv3VjPNxfew== [fileUNF]
The synthetic population for the state of California is constructed to be statistically indistinguishable from the real population at the spatial resolution of a US block group as measured by the US Census on selected demographic variables, which in this case are age (AGEP), household income (HINCP), household size (NP), race (RAC1P) and hispanic (... |
