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Virginia Pavement Performance
No full textAsphalt Pavement Condition data from Virginia Department of Transportation pavement management data of asphalt resurfacing treatment sites with structural measures for the segments. Data includes asphalt mixture resurfacing treatments on bituminous pavement structures
NASA-TLX Workload Ratings Collected with Multiple Response Types in a UAS Search-Tracking Task
No full textThis dataset contains ratings human subjects made using the NASA Task Load Index (NASA-TLX) that were collected as part of a within-subjects study where participants tracked points searched by an Unmanned Aerial System (UAS) in video simulations. Participants were 36 graduate engineering students (aged 22–30) who completed 36 simulation trials under different task conditions: simulation speed, cursor noise, viewing radius, path visibility, and the number of searched points. After each trial, participants provided workload assessments across the six NASA-TLX dimensions: mental demand, physical demand, temporal demand, performance, effort, and frustration. These were collected using three different response types for the same trial geometry: numerical entry (ask), onscreen rotary knobs, and onscreen sliders. Dependent measures include individual NASA-TLX ratings and individual performance in the tracking task. In total, 23,328 observations were collected. This dataset supports research on workload measurement, psychometrics, interface design, and human-system interaction in dynamic monitoring tasks
SMAP 400m downscaled soil moisture daily data
No full textThe 400m resolution global SMAP downscaled soil moisture data was produced from a VIS/IR downscaling algorithm based on the vegetation modulated thermal inertia relationship between SM and change in LST
Replication Data for: Expert-Grounded Prompt Engineering for Extracting Lattice Constants of High Entropy Alloys from Scientific Publications using Large Language Models
No full textRaw data and code snapshot for Expert-Grounded Prompt Engineering for Extracting Lattice Constants of High Entropy Alloys from Scientific Publications using Large Language Models
High thermoelectric power factor in Ni-Fe alloy for active cooling applications
No full textData as a part of data sharing for journal publicatio
NTLS Microscope
No full textThe NTLS Microscope is a 3D-printed microscope that enables engineering students to learn the underlying principles that govern microscope design while providing science classes with additional resources. The NTLS microscope is part of a larger initiative by the National Technology Leadership Society (NTLS), a coalition of twelve national teacher educator associations. The goal is to facilitate use of makerspaces to enhance science and engineering in schools. The microscope currently produces high resolution images at up to 100X magnification. It may be used either as a traditional optical microscope or with as a digital microscope with a USB camera
Sub Saharan Africa Surgical Outcomes Dataset: Site 1
No full textThis dataset includes 598 intraoperative anesthesia records from an academic center in sub-Saharan Africa. The team photographed completed intraoperative anesthesia records using a smartphone, de-identified the images, and securely uploaded them to a HIPAA-compliant server. The team collected the following comprehensive intraoperative data: demographic data, medication data, hemodynamic data, physiological data, anesthesia type, surgery type, postoperative length of stay, and 30-day postoperative mortality. This dataset can be used to identify patterns of intraoperative anesthesia practice and predict postoperative length of stay and risk of mortality based on intraoperative variables.
Intraoperative anesthesia data encompasses a wide range of information that is essential for patient care during surgical procedures. However, capturing this depth of information is particularly challenging in low- and middle-income countries (LMICs), where the current electronic intraoperative anesthesia datasets are often limited in scope. As a result, a significant number of key data elements, which could be vital for clinical decision-making and research, are either missing or not available. This limitation hinders the ability to fully understand and improve patient outcomes in LMICs, so this dataset fills a critical gap by developing a method to include all data elements from the intraoperative anesthesia records.
This data is patient data, but is not HIPAA regulated, and has been approved by all parties and Institutional Review Boards (IRBs) for public release
Cell Maps for Artificial Intelligence - June 2025 Data Release (Beta)
No full textDescription
This dataset is a revision of the June 2025 Data Release of Cell Maps for Artificial Intelligence (CM4AI; CM4AI.org), the Functional Genomics Grand Challenge in the NIH Bridge2AI program. This revision includes adding RGB immunofluorescent images, corrections to ro-crate metadata, and changes to naming conventions.
This Beta release includes perturb-seq data in undifferentiated KOLF2.1J iPSCs; SEC-MS data in undifferentiated KOLF2.1J iPSCs, iPSC-derived NPCs, neurons, cardiomyocytes, and treated and untreated MDA-MB468 breast cancer cells; and IF images in MDA-MB-468 breast cancer cells in the presence and absence of chemotherapy (vorinostat and paclitaxel).
External Data Links
Access external data resources related to this dataset:
Sequence Read Archive (SRA) Data: Embargoed
Mass Spectrometry Data (Human iPSCs): MassIVE Repository
Mass Spectrometry Data (Human Cancer Cells): MassIVE Repository
Data Governance & Ethics
Human Subjects: No
De-identified Samples: Yes
FDA Regulated: No
Data Governance Committee: Jillian Parker ([email protected])
Ethical Review: Vardit Ravitsky ([email protected]) and Jean-Christophe Belisle-Pipon ([email protected])
Completeness
These data are not yet in completed final form:
Some datasets are under temporary pre-publication embargo
Protein-protein interaction (SEC-MS), protein localization (IF imaging), and CRISPRi perturbSeq data interrogate sets of proteins which incompletely overlap
Computed cell maps not included in this release
Maintenance Plan
Dataset will be regularly updated and augmented through the end of the project in November 2026
Updates on a quarterly basis
Long term preservation in the University of Virginia Dataverse, supported by committed institutional funds
Intended Use
This dataset is intended for:
AI-ready datasets to support research in functional genomics
AI model training
Cellular process analysis
Cell architectural changes and interactions in presence of specific disease processes, treatment conditions, or genetic perturbations
Limitations
Researchers should be aware of inherent limitations:
This is an interim release
Does not contain predicted cell maps, which will be added in future releases
The current release is most suitable for bioinformatics analysis of the individual datasets
Requires domain expertise for meaningful analysis
Prohibited Uses
These laboratory data are not to be used in clinical decision-making or in any context involving patient care without appropriate regulatory oversight and approval
Potential Sources of Bias
Users should be aware of potential biases:
Data in this release was derived from commercially available de-identified human cell lines
Does not represent all biological variants which may be seen in the population at large
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Sub Saharan Africa Surgical Outcomes Datasheet
No full textA datasheet for the Sub Saharan Africa Surgical Outcomes Dataset from the paper "Datasheets for Datasets" https://doi.org/10.48550/arXiv.1803.09010.
Provides a Q&A of the most common and pertinent questions concerning this dataset
The Haven - Charlottesville - Virginia - 3D Dataset
No full text3D dataset record for The Haven homeless shelter and housing resource center at First St and Market St in Charlottesville, Va; The Haven occupies the site of the former First Christian Church built ca. 1830s, a non-denominational Christian church in Charlottesville; the site was 3D scanned by students of UVA ARH5600 : 3D Cultural Heritage Informatics class in collaboration with The Haven and The Building Goodness Foundation; students focused on the main church portion of the site as well as the main level of the adjacent annex office building