681 to 690 of 796 Results
Apr 7, 2021 - Center for Advanced Medical Analytics (CAMA)
Zimmet, Amanda M; Sullivan, Brynne A; Fairchild, Karen D; Moorman, J Randall; Isler, Joseph R; Wallman-Stokes, Aaron W; Sahni, Rakesh; Vesoulis, Zachary A; Ratcliffe, Sarah J; Lake, Douglas E, 2021, "Data Associated with the Publication: Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms", https://doi.org/10.18130/V3/7UAPHU, University of Virginia Dataverse, V1
This repository contains the dataset and code for the manuscript: Zimmet AM, Sullivan BA, Fairchild KD, Moorman JR, Isler JR, Wallman-Stokes AW, Sahni R, Vesoulis ZA, Ratcliffe SJ, & Lake DE. Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms. Pediatric Research 2021. https://doi.org/10.1038/s41390-021-01428-3... |
Mar 31, 2021 - School of Medicine
Niestroy, Justin; Levinson, Maxwell; Al Manir, Sadnan; Clark, Timothy; Fairchild, Karen; Lake, Doug; Moorman, Randall, 2021, "Evidence for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis", https://doi.org/10.18130/V3/HHTAYI, University of Virginia Dataverse, V1
Evidence graph supporting "Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis". |
Mar 26, 2021 - Center for Advanced Medical Analytics (CAMA)
Niestroy, Justin; Levinson, Maxwell; Al Manir, Sadnan; Clark, Timothy; Fairchild, Karen; Lake, Doug; Moorman, Randall, 2021, "Replication Data for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis", https://doi.org/10.18130/V3/VJXODP, University of Virginia Dataverse, V2, UNF:6:GqW9E/3oO1FhDufqdm3q5w== [fileUNF]
Replication Data for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis |
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 - LibraData: UVa's Scholarly Research
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 - LibraData: UVa's Scholarly Research
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 |
