661 to 670 of 745 Results
Mar 23, 2021 - School of Data Science
Zazzera, André; Hoffman, Kevin; Sung, Jae, 2021, "Data for Random Forests for Early Planet Growth Emulation", https://doi.org/10.18130/V3/SX7JNS, University of Virginia Dataverse, V1
Dataset for UVA MSDS/Astronomy Capstone Group, doing research on early planet formation and machine learning emulation of the processes. In particular, the pre-trained models for the random forest algorithm and a further prediction quality classifier are also contained here, for use in open-source Python packaging. |
Dec 21, 2020 - School of Engineering and Applied Science
Bennett, Jeffrey A.; DeCarolis, Joseph F.; Clarens, Andres F., 2020, "Model and data for "Extending energy system modelling to include extreme weather risks and application to hurricane events in Puerto Rico"", https://doi.org/10.18130/V3/QB0NPX, University of Virginia Dataverse, V1
This archive includes the model and data used to produce the publication "Extending energy system modelling to include extreme weather risks and application to hurricane events in Puerto Rico" by Bennett et al. The temoatools.zip file is an archived version of temoatools, the Python library used to run and analyze the simulations, along with data i... |
Dec 15, 2020
Driscoll, Kevin; Nooney, Laine; Allen, Kera, 2020, "Replication Data for: From Programming to Products: Softalk Magazine and the Rise of the Personal Computer User", https://doi.org/10.18130/V3/IHCHYM, University of Virginia Dataverse, V1, UNF:6:yKhFoCPXQu+cbQYYCqIyBw== [fileUNF]
Data, code, and documentation for reproducing the figures published in Nooney, Laine, Kevin Driscoll, and Kera Allen. “From Programming to Products: Softalk Magazine and the Rise of the Personal Computer User.” Information & Culture 55, no. 2 (June 18, 2020): 105–29. |
Nov 5, 2020
Walsh, Brandon; Draughon, Rebecca, 2020, "A Humanist's Cookbook for Natural Language Processing in Python", https://doi.org/10.18130/V3/AAFY8N, University of Virginia Dataverse, V1
Contains materials for a work in progress - "A Humanist's Cookbook for Natural Language Processing in Python." View the book [here](https://github.com/walshbr/humanists-nlp-cookbook/blob/release/toc.ipynb) (or by starting in the toc Notebook in this upload). |
rourk, will, 2020, "bucranium - architectural detail - Pavilion VII parlor", https://doi.org/10.18130/V3/VSZ4AF, University of Virginia Dataverse, V1
3D dataset for bucranium Neoclassical architectural detail from the Pavilion VII parlor, Academical Village, University of Virginia; data acquired using a Creaform ZScanner 700 CX color laser scanner and VX Elements v.6 data acquisition software |
rourk, will, 2020, "bucranium - architectural detail - Pavilion VIII parlor", https://doi.org/10.18130/V3/BJJUE7, University of Virginia Dataverse, V1
3D dataset for bucranium Neoclassical architectural detail from the Pavilion VIII parlor, Academical Village, University of Virginia; data acquired using a Creaform ZScanner 700 CX color laser scanner and VX Elements v.6 data acquisition software |
rourk, will, 2020, "bucranium - architectural detail - Pavilion V parlor", https://doi.org/10.18130/V3/CVKEMV, University of Virginia Dataverse, V1
3D dataset for bucranium Neoclassical architectural detail from the Pavilion V parlor, Academical Village, University of Virginia; data acquired using a Creaform ZScanner 700 CX color laser scanner and VX Elements v.6 data acquisition software |
rourk, will, 2020, "bucranium - architectural detail - Pavilion II parlor", https://doi.org/10.18130/V3/TEXS7K, University of Virginia Dataverse, V1
3D dataset for bucranium Neoclassical architectural detail from the Pavilion II parlor, Academical Village, University of Virginia; data acquired using a Creaform ZScanner 700 CX color laser scanner and VX Elements v.6 data acquisition software |
rourk, will, 2020, "bucranium - architectural detail - Pavilion I parlor", https://doi.org/10.18130/V3/WQ3AFX, University of Virginia Dataverse, V1
3D dataset for bucranium Neoclassical architectural detail from the Pavilion I parlor, Academical Village, University of Virginia; data acquired using a Creaform ZScanner 700 CX color laser scanner and VX Elements v.6 data acquisition software |
rourk, will, 2020, "bucranium - plaster cast Neoclassical detail", https://doi.org/10.18130/V3/9ESZUZ, University of Virginia Dataverse, V1
3D data from the laser scan of a plaster cast of a bucranium Neclassical motif in the possession of Mark Kutney, conservator for the University of Virginia. Data was acquired using a Creaform Z-Scanner 700 CX color laser scanner. Only surface dimension data was collected. Color information was not collected. |
