Metrics
1,221,104 Downloads
Contact Share

Find and cite data across all research fields.
Choose LibraData below to share and archive your data

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

671 to 680 of 761 Results
Votaciones senatoriales de 1ra Sesión Ordinaria de la 19ma Asamblea Legislativa de Puerto Rico
Jul 24, 2021 - LibraData: UVa's Scholarly Research
Santiago Calderón, José Bayoán, 2021, "Votaciones senatoriales de 1ra Sesión Ordinaria de la 19ma Asamblea Legislativa de Puerto Rico", https://doi.org/10.18130/V3/R4DZTQ, University of Virginia Dataverse, V1, UNF:6:m6PYyWL5yuGfUBUtqqTRFw== [fileUNF]
Votaciones senatoriales de 1ra Sesión Ordinaria de la 19ma Asamblea Legislativa de Puerto Rico. Fuente de información incluye: https://www.senado.pr.gov (https://www.senado.pr.gov/Pages/VotacionMedidas.aspx - votos), https://openstates.org/graphql (para conseguir el rid de las medidas) y https://sutra.oslpr.org/osl/esutra/ (para la información de l...
Resultados de la Elección General de Puerto Rico 2020 (Escrutinio General)
May 9, 2021 - LibraData: UVa's Scholarly Research
Santiago Calderón, José Bayoán, 2021, "Resultados de la Elección General de Puerto Rico 2020 (Escrutinio General)", https://doi.org/10.18130/V3/151ON0, University of Virginia Dataverse, V1, UNF:6:VauoRofrvw94upRkJyrmPA== [fileUNF]
Los archivos presentados contienen la información de las actas del escrutinio general de la elección general del 2020 de Puerto Rico. La información se recopiló de la Comisión Estatal de Elecciones de Puerto Rico: http://elecciones2020.ceepur.org. La información sobre los centros de votación se obtuvo de los documentos provistos: https://www.ceepur...
Diverse Humoral Immune Responses in Younger and Older Adult COVID-19 Patients: Datasets
May 4, 2021 - LibraData: UVa's Scholarly Research
Sasson, Jennifer; Campo, Joseph J; Carpenter, Rebecca; Young, Mary K.; Young, Arlo Z; Trappl-Kimmons, Krista; Oberai, Amit; Hung, Christopher; Edgar, Joshua; Teng, Andy A.; Pablo, Jozelyn V.; Liang, Xiaowu; Yee, Angela; William A. Petri Jr.; Camerini, David, 2021, "Diverse Humoral Immune Responses in Younger and Older Adult COVID-19 Patients: Datasets", https://doi.org/10.18130/V3/2ZLOWA, University of Virginia Dataverse, V1, UNF:6:kEh2P3hG722WuktIpECH1A== [fileUNF]
Protein array IgG, IgA, IgM signal intensity normalized data. This data set also contains clinical metadata and cytokine/chemokine/growth factor data used in the study.
Data Associated with the Publication: Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms
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...
Evidence for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis
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".
Replication Data for: 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
Data for Random Forests for Early Planet Growth Emulation
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.
Model and data for "Extending energy system modelling to include extreme weather risks and application to hurricane events in Puerto Rico"
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...
Replication Data for: From Programming to Products: Softalk Magazine and the Rise of the Personal Computer User
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.
A Humanist's Cookbook for Natural Language Processing in Python
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).
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.