Johns Hopkins Research Data Repository
Not a member yet
553 research outputs found
Sort by
Data and code for TFlux measurement associated with the publication: PCP-dependent polarized mechanics in the cortex of individual cells during convergent extension
No full textThis dataset contains MATLAB scripts and example demonstration files for the TFlux measurement in the publication: Weng, S., Devitt, C. C., Nyaoga, B. M., Alvarado, J. & Wallingford, J. B. PCP-dependent polarized mechanics in the cortex of individual cells during convergent extension. Dev. Biol. 523, 59–67 (2025). https://doi.org/10.1016/j.ydbio.2025.04.007 </a
Data and code associated with the publication: Crack paths in functionally graded plates: a phase-field simulation dataset
No full textWe introduce a phase-field fracture simulation dataset capturing crack propagation in a functionally graded plate with two circular inclusions of contrasting stiffness (hard/soft). The plate is loaded in Mode I under displacement control with the bottom edge fixed and the remaining boundaries traction-free. Four inclusion configurations (hard–hard, hard–soft, soft–hard, soft–soft) are studied. For each configuration, 1,000 realizations with randomized initial crack-tip locations are advanced through 31 quasi-static load steps using adaptive mesh refinement to efficiently resolve crack–inclusion interactions. The dataset provides displacement fields, phase-field damage, and load–displacement curves; all fields are also interpolated to a uniform 128×256 grid with predefined 900/100 train/test splits and utility scripts for generation, preprocessing, and visualization. This resource supports benchmarking and development of data-driven and physics-informed models for fracture in heterogeneous materials
Data and code associated with the publication: Rapid rebalancing of co-tuned ensemble activity in the auditory cortex
No full textSensory information is represented by small varying neuronal ensembles in sensory cortices. In the auditory cortex (AC) repeated presentations of the same sound activate differing ensembles indicating high trial-by trial variability in activity even though the sounds activate the same percept. Efficient processing of complex acoustic signals requires that these sparsely distributed neuronal ensembles actively interact in order to provide a constant percept. Thus, the differing ensembles might interact to process the incoming sound inputs. Here, we probe interactions within and across ensembles by combining in vivo 2-photon Ca2+ imaging and holographic optogenetic stimulation in awake mice to study how increased activity of single cells affects the cortical network. We stimulated a small number of neurons sharing the same frequency preference alongside the presentation of a target pure tone, further increasing their tone-evoked activity. We found that other non-stimulated co-tuned neurons decreased their tone-evoked activity when the frequency of the presented pure tone matched their tuning property, while non co-tuned neurons were unaffected. Activity decrease was greater for non-stimulated co-tuned neurons with higher frequency selectivity. Co-tuned and non co-tuned neurons were spatially intermingled. Our results show that co-tuned ensembles communicated and balanced their total activity across the larger network. The rebalanced network activity due to external stimulation remained constant. These effects suggest that co-tuned ensembles in AC interact and rapidly rebalance their activity to maintain encoding network dynamics, and that the rebalanced network is persistent
Data and code associated with the publication: Echolocating bats adjust sonar call features and head/ear position as they track moving targets in the presence of clutter
No full textThis dataset is the data that was used to create the manuscript, “Echolocating bats adjust sonar call features and head/ear position as they track moving targets in the presence of clutter”, which brings novel findings to the field of bat research https://doi.org/10.1121/10.0036252.
Dataset contains the necessary files and code scripts to recreate the data driven figures in the manuscript using Matlab standard formats (.m and .mat). Code scripts are titled Fig#_code.m and are associated with the respective figure number they recreate. There is one additional script included that is needed to run one of the figure-based scripts. Data is contained in the AudioData and VideoData folders. These data are pre-processed data from the raw audio data files and video data files that were collected during experimental trials.</p
Data and code associated with the publication: Relapse prediction using wearable data through convolutional autoencoders and clustering for patients with psychotic disorders
No full textOur work focused on developing a personalized approach using neural-network-based anomaly detection and clustering to predict relapse for patients with psychotic disorders. We used a dataset provided by e-Prevention grand challenge (https://robotics.ntua.gr/eprevention-sp-challenge/), containing physiological signals for 10 patients monitored over 2.5 years. We created 2-dimensional multivariate time-series profiles containing activity and heart rate variability metrics, extracted latent features via convolutional autoencoders, and identified relapse clusters. In this repository, we shared our aggregated 2D multivariate time-series profiles for users to understand the structure of processed data and make it easier to run our demo code
Data associated with the publication: Functional screen of Wilson Disease ATP7B variants
No full textThe current dataset includes the the associated data such as microscopy images, data quantification and detailed visual summaries to the article Functional Screen of Wilson Disease ATP7B Variants Reveals Residual Transport Activities. Calvo, J. S.; Heger, T.; Kabin, E.; Mowrey, W.R.; Del Angel, G.; Ding, W.; Lutsenko, S. Human Mutation, 2025 (1).
This investigator-initiated project is funded through an externally sponsored research agreement with Alexion, AstraZeneca Rare Disease (Boston, MA, United States). T.H. was supported by the Boehringer Ingelheim Fonds travel grant, the Lundbeck Foundation, and the Department of Molecular Biology and Genetics, Aarhus University, Denmark
PMA Democratic Republic of Congo (Kinshasa) Phase 4 Household and Female Survey (2024)
No full textPMA Democratic Republic of Congo (Kinshasa) Phase 4 Household and Female Survey collects data in 115 enumeration areas (EAs) using a multi-stage stratified cluster design with urban-rural strata. The results are representative at the national and province levels and within urban/rural strata. The final sample included 1,829 households and, 2,408 de facto females in Kinshasa who completed the interview for the cross-sectional sample. Data collection was conducted between June and August 2024.Kinshasa Phase 4 panel data collection was conducted among 3,366 women from Phase 1, Phase 2 and Phase 3 who consented to follow-up and aged 15-49y at Phase 4. 56.6% of women enrolled in the panel survey at Phase 1 between December 2019 and February 2020, 21.3% of women enrolled in the panel survey at Phase 2 between November 2020 and February 2021 and 22.1% of women enrolled in the panel survey at Phase 3 between December 2021 and April 2022. Of the 3,366 women eligible for the panel survey at Phase 4, 34% of were not reached for follow-up at Phase 4. Of those reached, 2,096 (62.3%) completed the Phase 4 survey, for a response rate of 97.5% among contacted women. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/cjvx-z226</a
PMA (2019-2024) Service Delivery Point Master Codebook
No full textPMA (2019-2024) Service Delivery Point Survey Master Codebook contains Service Delivery Point surveys conducted between 2019 and 2024 as part of the PMA grant
Data and code associated with the publication: The Effect of Global Skill Partnerships on Employment Status: Evidence from Morocco and Belgium
No full textThe dataset has the pre- and post-intervention data for the treatment and control groups for the Global Skill Partnership (GSP) in information and communications technology between Morocco and Belgium. The dataset is to be used for an impact evaluation of the GSP on employment status
Data and code associated with the publication: Resourcefulness, robustness, and recovery: Tail use during climbing in rats
No full textThis repository contains the dataset and code used in the study of rats climbing up and onto a ledge. It contains sensor data, animal behavior data, experiment control, DeepLabCut trained models, and post-processed biomechanical data of 5 Long-Evans rats performing the climbing task described in the publication “Resourcefulness, robustness, and recovery: tail use during climbing in rats”