Skull thickness distributions were collected from infants under 12 months of age (n=266). Data-driven age groups were established based on the variability of skull thickness with age. By providing anatomical standards and guidelines for each age and sex group, this work aims to improve consistency in infant head trauma modeling studies.
The Ankle Arthrodesis Compensation data repository is a collection of foot and ankle 3D clinical computed tomography (CT) images (.nii), associated surface files of the tibia-talus fused construct, distal tibia, talus, and calcaneus (.k and .stl), and rigid body transforms (.txt). CT images and rigid body transforms were collected directly from participants for both the treated (AD) and untreated (NonAD) limbs. Landmarks were derived from surface models, which were generated from CT scans. For a detailed description of participant selection, data collection, and data processing methods, please refer to https://doi.org/10.2106/JBJS.19.01132
This dataset contains the behavioral and neurophysiological data supporting the manuscript “Evidence that interval-counting neurons play a critical role in call recognition by Cope’s gray treefrogs.”
Together, these datasets provide a direct link between behavioral selectivity for species-specific advertisement calls and the response properties of specialized temporal processing neurons., Behavioral dataset(20240815_MixedIntervalPhonotaxis_Kamath.xlsx): Binary phonotaxis responses of female Hyla chrysoscelis collected during the 2024 breeding season. Each row represents an individual frog, and columns report responses (1 = positive phonotaxis, 0 = no response) across standard and temporally disrupted advertisement call conditions (1X, MI=2X, MI=3X, AI=2X, AI=3X)., and Neurophysiology dataset (20250815_ExtracellularICN_LIN_Kamath.xlsx): In vivo extracellular single-unit recordings from three classes of auditory midbrain neurons—interval-counting neurons (ICNs), long-interval neurons (LINs), and temporally non-selective neurons—collected between July 2024 and August 2025. Each sheet reports neuron metadata (recording date, ID, frequency sensitivity, pulse rate, pulse number threshold for ICNs) and normalized spike responses to standard and temporally disrupted stimuli (MI and AI paradigms).
This dataset contains extracellular neurophysiological recordings from long interval neurons in the midbrain of Pseudacris feriarum frogs collected from sympatric and allopatric populations (Alabama, Georgia, South Carolina). Frogs were presented with synthetic acoustic stimuli varying in pulse rate (5–70 pulses/s) to assess pulse rate selectivity. Data include neuronal responses to acoustic stimuli.
This dataset includes electrical resistivity data collected along the south shore of the Great Salt Lake to go along with the publication, "Characterization of hydrogeologic and lithologic heterogeneity along the southern shore of the Great Salt Lake, Utah, from electrical methods."
Librarian tracked all Read and Publish support activities between March 2025 through August 2025, assigning each activity to a category (Author Support, Publisher Coordination, data Management, Communication and Training, Systems and Internal Workflow) and recording time spent on each activity. The purpose of the study is to better understand the infrastructure, expertise, and library staff time needed to support institutional Read and Publish agreements.
This dataset includes three related tables used in to conduct content analysis for a scoping review of how digital tools have been used in urban forestry research published between 1998 and 2023. The main file provides metadata and key variables for the 73 reviewed documents. A second file lists all authors and their affiliations, and a third describes how each study used digital tools—whether to examine structure, function, or temporal dynamics—along with what was measured (such as canopy, species, carbon, or heat). The data were gathered through collaborative inductive and deductive coding and cleaned using standard research tools.
This dataset contains measurements of airborne particle concentrations and environmental conditions collected in clinical settings, including dental clinics and hospitals. Data were recorded using a GRIMM 1.109 (Grimm Technologies, Inc., Douglasville, GA, USA) aerosol spectrometer and TSI Q-Trak Indoor Air Quality (IAQ) Monitor (TSI Incorporated, Shoreview, MN, USA) (Appendix E) to assess indoor air quality and bioaerosol exposure. This dataset can be used to evaluate indoor air quality, particle exposure levels, and environmental conditions in healthcare environments.
This dataset contains all data and materials supporting the results and analyses presented in the manuscript "Differential Regulation of Histone H4K20 Methylation and Its Associated Enzymes in Mouse Cardiac Disease and Human Heart Failure." The Excel file contains sheets labeled with referenced figures to graphs that were generated using the raw data listed in the Excel tab. The PDF file contains supplementary tables that are included as supplementary material to the manuscript.
