Data Documentation and Metadata session from the 2015 Virginia Data Management Bootcamp. Introduces non-structural (data dictionaries, read me files, code books) and structured ways (XML schemas) to document research data.

The Fraction Orange is a sphere partitioned into two hemispheres; one hemisphere is further partitioned into fourths, eighths, and sixteenths of the whole; the other hemisphere is further partitioned into sixths and eighteenths. The Fraction Orange manipulative is a particularly useful tool for exploring the measurement meaning of division. It’s also useful for teaching fractions through multiple representations, like drawings of partitioned wholes and symbols of the form.

Recording of Amanda Yo's DMP recital

VCAP Dataset is the product of "Short-term cognitive change in adults from 18 to 80", an NIH-funded project directed by Dr. Timothy Salthouse between 2001 and 2019. The dataset contains longitudinal assessments from about 6000 individuals aged 19-99 years old. The availability of the dataset is curated by project transition team after the retirement of Dr. Salthouse. We request that the guestbook to be signed before downloading the datasets. It is also expected that users are committed (1) to using the data only for research purposes and not to identify any individual participant; (2) to securing the data using appropriate computer technology; and (3) to citing the VCAP appropriately if the use of data leads to new publications or other products.

Datasets and code for the Social Impact Data Commons Transportation data area.

2021 Count of Housing Units and Group Quarters per Census Block in the U.S.

Minimal anonymized data set for replication of study findings

EoE images with masks of annotated eosinophils.

scan data of The Aviator by Gutzon Borglum, data collected with a FARO Focus 3D 120 scanner

Datasets and code for the Social Impact Data Commons Health data area.

William Faulkner's pipe; scanned on 2017-01-17 by Will Rourk, Baxter Craven, Molly Schwartzburg; scanned with Creaform Zscanner 700CX; data acquired using Creaform VXElements, processed with 3D Systems Geomagic, Autodesk 3D Studio Max, 3D printed with Stratasys Mojo

new n/a data

Fralin 3d ; This item is one in a series of 4 collection items from the Fralin Museum that were 3D scanned and 3D printed for the Spring 2017 Exhibit "Collect, Care, Conserve, Curate: The Life of the Art Object"

Data from a school-level randomized controlled trial (RCT) of the Double Check professional development model, focused on improving teachers' cultural responsivity and student engagement. Data were developed to evaluate the multi-component whole-school Double Check model, testing the combined impacts of school-wide data-based decision-making, along with staff professional development on culturally responsive practices, and classroom coaching using the Double Check version of the Classroom Check-up. Detailed descriptions of this model and intervention activities can be found in Bradshaw et al (2018; a description of the model from a prior trial) and Pas et al (2022; analysis of intervention activities from the present trial). A total of 41 middle school from two states in the mid-Atlantic region of the United States participated. Schools were recruited to participate in four cohorts. The first school-years of participation for these cohorts were 2015-2016, 2016-2017, 2017-2018, and 2018-2019, respectively. Teacher recruitment sessions were generally held in the weeks leading up to beginning of the school year (during faculty professional development days). A total of 352 teachers consented to participate in the RCT. Following Fall baseline data collection for each of the four cohorts, schools were randomly assigned to receive the Double Check model (n = 19) or to the comparison group (n = 22; i.e., business as usual). Recruited schools were assigned into paired matches within their cohort based on their school-level demographic characteristics and baseline data; one school in each pair was randomly assigned to each group to ensure balance across conditions. Intervention activities took place during the first year of each school's participation in the trial. During year 2, intervention schools also received two professional development “booster” sessions. These sessions reviewed the Double Check model and components of culturally responsive teaching, and facilitated action planning for the second academic year for teachers’ implementation of culturally responsive strategies. Data collection occurred at baseline (pre-test; Fall of year 1), post-test (Spring of year 1), and follow-up (Spring of year 2). Data from all cohorts and time points are included in this submission. Follow-up data are missing for the fourth cohort of schools, as their follow-up time point coincided with Spring of 2020, when the COVID-19 pandemic interfered with data collection within schools. At the completion of the two years of participation (one intervention year, one follow up year for data collection), comparison schools received all Double Check PD materials and individual staff members received training in the coaching model.

Data acquired by ARH 5600 ; 3D Cultural Heritage Informatics students, Fall 2021; data acquired with FARO Focus 3D laser scanners - X130 and S120; Data files can be downloaded at the following locations: Coming soon. Contact Will Rourk will@virginia.edu for more info Please credit the University of Virginia Library upon use of this data

3D dataset for the Dunbar Rosenwald School building located in the New Fork community of Fluvanna County, Virginia; data collected and processed by UVA Architecture class ARH3500/7500 : 3D Cultural Heritage Informatics during the Spring 2025 semester; main data registration performed by Victoria Bitrick, undergraduate student in the Program for Historic Preservation in Architectural History at UVA, directed by Andy Johnston PhD; the Dunbar Rosenwald School is owned, managed and directed by Carmen Smith of New Fork, Fluvanna County;

Data collected during Fall semester 2022 by students of ARH 5600 : 3D Cultural Heritage Informatics; data collected with FARO Focus 3D laser scanners; data processed with FARO Scene v. 2022; Data files can be downloaded at the following locations: Coming soon. Contact Will Rourk will@virginia.edu for more info Please credit the University of Virginia Library upon use of this data

describe it

point cloud data from FARO Focus 130 3D scanner #2

This archive contains mobility data made public by Baidu and scraped from their qiangxi.baidu.com web site in February, March, and April, 2020. We have reformatted the data into a more easily computable form, comma-separated value (csv) files providing the full origin-destination matrix for each day. We are publishing this reformatted version for research purposes under Article 22 of the Copyright Law of the People's Republic of China (https://wipolex.wipo.int/en/text/466268). We make no representation as to the suitability of the data for any purpose, but nevertheless hope that it may be useful for researchers trying to calibrate models of 2019-ncov. We wish to thank Baidu especially for making these valuable data available and encourage them to continue to do so. Thanks also to Chunhong Mao for making us aware of this data source and explaining what the data represent and to James Schlitt for scraping the data.