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171 to 180 of 55,857 Results
ModelOutput.tab
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==
shap_analysis.py
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
spatial_validation.py
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
temporal_bias_violin.py
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
temporal_bin_accuracy_bar.py
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
temporal_scatter_by_bin.py
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
Validation.ipynb
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
Synthetic Population for California, US (ver. 2.5.0)
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 (...
activity_types.tab
May 14, 2026 - Synthetic Population for California, US (ver. 2.5.0)
Tabular Data - 97 B - 2 Variables, 8 Observations - UNF:6:i+YB7Rre5h9cv3VjPNxfew==
This is a lookup file that defines the different activity type identifiers (integer) supported in our v.2.4.0 and v2.5.0 synthetic populations, along with the activity type verbiage so that when looking at location assignments or the population network, it is clear what activity the person is doing at that time.
ca_activity_assignment_day.csv.xz
May 14, 2026 - Synthetic Population for California, US (ver. 2.5.0)
XZ Archive - 458.8 MB - MD5: 93ec96cb8d30df5ddcb02220027162c3
ca_activity_assignment_day.csv.xz contains the activity sequences for the synthetic people in the synthetic representation of California. This does not contain the locations where these activities are performed -- ca_location_assignment_day.csv.xz has the mapping of activities to locations.
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