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Women in Spanish-Language Periodicals
No full textThis rich dataset captures over 2,000 record sets related to Women and Gender in Spanish-language periodicals published in the United States between 1808 and 1960. Some of the topics include feminism, women’s rights, motherhood, religion, social issues, cultural identity, among others. Este exhaustivo conjunto de datos captura más de 2.000 récords relacionados con mujeres y género publicados en periódicos en los Estados Unidos entre 1808 y 1960. Algunos de los temas incluyen feminismo, derechos de las mujeres, maternidad, religión, problemas sociales, identidad cultural, entre otros. (2022-04-26
Non-Clinician Involvement in Online Interprofessional Health Sciences Education: Educator Experiences and Attitudes
No full textThis dataset is from a study to assess educator views on the knowledge, skills, and abilities needed by IPE facilitators and to explore their attitudes toward and experiences with non-clinician facilitators of online IPE activities, particularly health sciences librarians. The following research questions guided this study: 1) What knowledge, skills, and abilities do health sciences educators deem necessary for facilitators of IPE activities? 2) What are health sciences educators’ experiences with and attitudes toward non-clinician facilitators of IPE activities? 3) What are health sciences educators’ experiences with and attitudes toward health sciences librarians in particular as facilitators of IPE activities? 4) How do these factors differ for in-person as compared to online settings? Methods: This qualitative study was carried out utilizing a novel questionnaire that included both multiple-choice and free-text questions. The latter were grounded in critical incident technique (CIT), a research methodology that uses direct observations of human behavior to solve practical problems. CIT research asks participants to recall and describe a time when a phenomenon of interest occurred. It was utilized in this study to identify what general factors, and what characteristics of facilitators, are associated with successful IPE activities. The questionnaire was distributed electronically to the study’s population of health sciences administrators, faculty, and staff in Texas who were involved with IPE. There were 48 responses. This dataset consists of the raw responses to the questionnaire as well as aggregate data from the TX IPE online directory on 10/18/2021
Simulated Reservoir Firm Yield
No full text“Firm yield” (FY) is a fundamental metric in Water Availability Model used to quantify surface water availability with respect to reservoirs and has been applied widely for water planning purposes. The multi-model simulated firm yield in the Historical Period (1980 – 2019), Period 1 (2020 – 2059), and Period 2 (2060 – 2099) are presented in the dataset for six reservoirs over the Upper Trinity River Basin, Texas
GrowClust3D.jl: A Julia Package for the Relative Relocation of Earthquake Hypocenters Using 3D Velocity Models
No full textGrowClust3D.jl: A Julia Package for the Relative Relocation of Earthquake Hypocenters Using 3D Velocity Model
Analysis Code
No full textAnalysis code for Beyond Face Value: Assessing the Factor Structure of an Eye-Tracking based Attention Bias Tas
Data for: Leveraging Sound and Wrist Motion to Detect Activities of Daily Living with Commodity Smartwatches
No full textTwo annotated datasets capturing synchronized inertial and acoustic data collected from an off-the-shelf smartwatch. One dataset consists of data captured as 15 participants performed various activities of daily living in their own homes; the other dataset was compiled from 5 participants performing activities completely in-the-wild and without any supervision; ground truth was established from video evidence captured with a wearable camera.
Abstract: Automatically recognizing a broad spectrum of human activities is key to realizing many compelling applications in health, personal assistance, human-computer interaction and smart environments. However, in real-world settings, approaches to human action perception have been largely constrained to detecting mobility states, e.g., walking, running, standing. In this work, we explore the use of inertial-acoustic sensing provided by off-the-shelf commodity smartwatches for detecting activities of daily living (ADLs). We conduct a semi-naturalistic study with a diverse set of 15 participants in their own homes and show that acoustic and inertial sensor data can be combined to recognize 23 activities such as writing, cooking, and cleaning with high accuracy. We further conduct a completely in-the-wild study with 5 participants to better evaluate the feasibility of our system in practical unconstrained scenarios. We comprehensively studied various baseline machine learning and deep learning models with three different fusion strategies, demonstrating the benefit of combining inertial and acoustic data for ADL recognition. Our analysis underscores the feasibility of high-performing recognition of daily activities using inertial-acoustic data from practical off-the-shelf wrist-worn devices while also uncovering challenges faced in unconstrained settings. We encourage researchers to use our public
dataset to further push the boundary of ADL recognition in-the-wild.
IRB approved under ID: 2016020035-MODCR0
Grid model energy, emissions, and economics results
No full textThese data include the annual energy results, by fuel type, for each model run scenario as well as annual emissions and economics results
MAGNets
No full textThis repository contains the code files, test networks, and example scripts for release v0.1.7 of Python package MAGNets: Model reduction and AGgregation of water distribution Network
Emotion Dynamics Feature Extraction Munging
No full textScripts for cleaning the data for the manuscript "Complex emotion dynamics contribute to the prediction of depression: A machine learning and time series feature extraction approach". Data are not currently available as they were obtained via data sharing agreemen