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

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.

This data was collected by students of ARH 5600 : 3D Cultural Heritage Informatics in the Spring semester of 2021. Data files can be downloaded at the following location at Information about the files associated with this dataset can be found in the Read Me file below. Please credit the University of Virginia Library upon use of this data

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.

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

Minimal anonymized data set for replication of study findings

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"

new n/a data

This archive contains mobility data in Chinese made public by Baidu and scraped from their qiangxi.baidu.com website in February, March and April 2020. The data have been reformatted into a more easily computable form, comma-separated value (CSV) providing the full origin-destination matrix for each day.

this is the 3d dataset for The University of Virginia Rotunda, central building and former library of Thomas Jefferson's Academical Village, ca. 1822-26; the main dataset for the building was collected from 2016-2021; data was collected using FARO Focus 3D laser scanners, models S120, X130, S70 and S150; data was registered and processed with FARO Scene v. 2024; data edited, optimized and exported with Autodesk ReCap v. 2024; the building exterior data was collected by students in ARH5500, Fall 2019; most of the interior data was collected by Will Rourk in July 2020; interior spaces of the porticoes and spiral stairways were scanned by students of ARH5600, Fall 2021;

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

describe it

Includes Supplementary Table 1

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 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

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

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.

The Fractions Waffle is an interactive way for students to visualize how fractions are formed. The user is supposed to demonstrate the concept of a set or quantity when working with fractions with this manipulative. This is through the use of taking apart the Fractions Waffle’s squares. Each square is of equal size and allows the user to form different portions. The Fractions Waffle is an interactive way for students to visualize how parts can be made from a whole, and make fractions from this. This manipulative could be helpful to help students visualize and manipulate a kid friendly and enjoyable object. The Fractions Waffle demonstrates that even when you change the portions, the whole (the Waffle) stays the same, and these parts do not affect the whole in any way-it is only relational.

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