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211 results for “HAR”
Dataset for Spatial and polarization division multiplexing harnessing on-chip optical beam forming
<p>This dataset contains the raw data for the figures (Fig. 1, Fig. 2, Fig. 3, Fig. 4, Fig. 5, Fig. 6, Fig. S1, Fig. S2 and Fig. S3) in the publication entitled "Spatial and polarization division multiplexing harnessing on-chip optical beam forming" published by Laser & Photonics Reviews (DOI: 10.1002/lpor.202300298). Datafiles are in .txt format.</p> <p>All relevant information regarding the dataset, how it was obtained and its context is contained in the manuscript and the supporting information.</p>
Human-Actions-in-Diverse-Environments-HAR-Approach
<p>#### HADE Dataset<br> - Collected and curated for the foundation of the HAR system, comprising 1500+ videos<br> - Preprocessing techniques for suitable data format.<br> - Raw data from smartphone cameras saved as .mp4 video files.<br> - Videos: 4-5 seconds duration, 30 fps.<br> - Frames organized by subject and action names.</p> <p> </p> <p>After manual annotation, and pre-processing, we obtained the following frames/samples</p> <p>#### Actions in HADE Dataset<br> | Action # | Action Name | # of Samples |<br> |----------|---------------|--------------|<br> | 1 | Clapping | 178 |<br> | 2 | Sitting Down | 171 |<br> | 3 | Standing Up | 171 |<br> | 4 | Walking | 178 |<br> | **Total**| | **699** |</p> <p>- HADE dataset includes Clapping, Sitting Down, Standing Up, and Walking actions.<br> - Total of 699 samples.</p> <p>#### Dataset Diversity and Comparison<br> - HADE dataset stands out for broader action range and environmental diversity.<br> - Enhanced model generalizability and adaptability.<br> </p>
Harnessing genotype-phenotype nonlinearity to accelerate biological prediction
<p><strong>Description:</strong></p> <p>We are sharing phenotypic data sets used in the pub <a href="http://doi.org/10.57844/arcadia-5953-995f">“Harnessing genotype-phenotype nonlinearity to accelerate biological prediction”</a>. Contained within are a set of publicly available empirical phenotype data sets, synthetic phenotypes we generated, and the output of an autoencoder model trained on them.</p> <p>Walkthroughs for all analyses using these data are available on <a href="http://doi.org/10.5281/zenodo.8371249">GitHub</a>.</p> <p><strong>Files: </strong></p> <ul> <li><strong>“ail_cleaned_phenos.RDS”:</strong> .RDS file of mouse phenotypes from Bogue et al. 2015</li> <li><strong>“all_autoencoder_phenotype_predictions.csv“:</strong> .csv file containing accuracy statistics for all phenotype-phenotype autoencoder models analyzed in the pub</li> <li><strong>“arapheno_cleaned_phenos.RDS“:</strong> .RDS file of Arabidopsis phenotypes from Exposito-Alonso et al. 2019</li> <li><strong>“autoencoder_phenos.zip“:</strong> directory of synthetic phenotype sets used to train the autoencoder models</li> <li><strong>“dgrp_cleaned_phenos.RDS”:</strong> .RDS file of DGRP fruit fly phenotypes compiled from multiple sources, originally reported in Mackay et al. 2012</li> <li><strong>“jax_cleaned_phenos.RDS”:</strong> .RDS file of mouse phenotypes from Gonzales et al. 2018</li> <li><strong>“nematode_cleaned_phenos.RDS”:</strong> .RDS file of nematode phenotypes from Snoek et al. 2019</li> <li><strong>“phen_pleio_int_01_0_1.pk”:</strong> pickle of all synthetic phenotypes analyzed in the pub</li> <li><strong>“yeast_cleaned_phenos.RDS”:</strong> .RDS file of yeast phenotypes from Bloom et al. 2019</li> </ul> <p>A full description of how the synthetic phenotypes and autoencoder predictions were generated is available in the associated <a href="http://doi.org/10.57844/arcadia-5953-995f">pub</a>.</p>
Harnessing Digital Health to Understand Clinical Trajectories of Opioid Use Disorder
ClinicalTrials.gov study NCT04535583. IPD Sharing: YES. Countries: 1. Publications: 1.
Supporting Young Women's Reproductive Health by Harnessing Prosociality Among Drug Shopkeepers
ClinicalTrials.gov study NCT05525533. IPD Sharing: YES. Countries: 1. Publications: 3.
Stepping Into Survivorship: Harnessing Behavioral Economics to Improve Quality of Life in Ovarian Cancer
ClinicalTrials.gov study NCT03364673. IPD Sharing: NO. Countries: 1. Publications: 1.
Harnessing the Power of Text Messaging to Invigorate AMSM HIV Preventive Behavior
ClinicalTrials.gov study NCT02113956. IPD Sharing: NO. Countries: 1. Publications: 9.
SMS Turkey: Harnessing the Power of Text Messaging to Promote Smoking Cessation
ClinicalTrials.gov study NCT00912795. IPD Sharing: NO. Countries: 1. Publications: 4.
Harnessing Health IT for Self-Management Support and Medication Activation in a Medicaid Health Plan
ClinicalTrials.gov study NCT00683020. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Harnessing Mobile Technology to Reduce Mental Health Disorders in College Populations
ClinicalTrials.gov study NCT04162847. IPD Sharing: YES. Countries: 1. Publications: 2.
Harnessing the Power of Technology: MOMBA for Postpartum Smoking
ClinicalTrials.gov study NCT02237898. IPD Sharing: NO. Countries: 1. Publications: 1.
Harnessing mHealth and Social Support to Improve Diabetes Related Health Behavior for Inner-city Patients
ClinicalTrials.gov study NCT01945996. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Harnessing underutilized gene bank diversity and genomic prediction of cross usefulness to enhance resistance to Phytophthora cactorum in strawberry
Open the record for dataset details and reuse information.
Data from: Harnessing AlphaFold to reveal hERG channel conformational state secrets
Open the record for dataset details and reuse information.
Harnessing waterfleas for water reclamation: A nature-based tertiary wastewater treatment technology
Open the record for dataset details and reuse information.
Harnessing photoenzymatic reactions for unnatural biosynthesis in microorganisms
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Data from: Harnessing the oloid shape in magnetically driven robots to enable high-resolution ultrasound imaging
Open the record for dataset details and reuse information.
Viruses harness YxxØ motif to interact with host AP2M1 for replication: A vulnerable broad-spectrum antiviral target
<p>Targeting a universal host protein exploited by most viruses would be a game-changing strategy that offers broad-spectrum solution and rapid pandemic control including the current COVID-19. Here, we found a common YxxØ-motif of multiple viruses that exploits host AP2M1 for intracellular trafficking. A library chemical, <em>N</em>-(p-amylcinnamoyl)anthranilic acid (ACA), was identified to interrupt AP2M1-virus interaction and exhibit potent antiviral efficacy against a number of viruses in vitro and in vivo, including the influenza A viruses (IAVs), Zika virus (ZIKV), human immunodeficiency virus, and coronaviruses including MERS-CoV and SARS-CoV-2. YxxØ mutation, AP2M1 depletion, or disruption by ACA causes incorrect localization of viral proteins, which is exemplified by the failure of nuclear import of IAV nucleoprotein and diminished endoplasmic reticulum localization of ZIKV-NS3 and enterovirus-A71-2C proteins, thereby suppressing viral replication. Our study reveals an evolutionarily conserved mechanism of protein-protein interaction between host and virus that can serve as a broad-spectrum antiviral target.</p>
Harnessing environmental Ca2+ for extracellular protein thermostabilization
<p>Ca<sup>2+</sup> is the third-most prevalent metal ion in the environment. EF hands are common Ca<sup>2+</sup>-binding motifs found in both extracellular and intracellular proteins of eukaryotes and prokaryotes. Cytoplasmic EF hand proteins often mediate allosteric control of signal transduction pathway components in response to intracellular Ca<sup>2+</sup> concentration fluctuations by coupling Ca<sup>2+</sup> binding to changes in protein structure. We show that an extracellular structural Ca<sup>2+</sup>-binding site mediates protein thermostabilization by such conformational coupling as well. Binding Ca<sup>2+</sup> to the EF hand of the extracellular (periplasmic) <i>Escherichia coli</i> glucose-galactose binding protein thermostabilizes this protein by ~17K relative to its Ca<sup>2+</sup>-free form. Using statistical thermodynamic analysis of a fluorescent conjugate of ecGGBP that reports simultaneously on ligand binding and multiple conformational states, we found that its Ca<sup>2+</sup>-mediated stabilization is determined by conformational coupling mechanisms in two independent conformational exchange reactions. Binding to folded and unfolded states determines the maximum Ca<sup>2+</sup>-mediated stability. A disorder®order transition accompanies formation of the Ca<sup>2+</sup> complex in the folded state and dictates the minimum Ca<sup>2+</sup> concentration at which the Ca<sup>2+</sup>-bound state becomes dominant. Similar transitions also encode the structural changes necessary for Ca<sup>2+</sup>-mediated control elements in signal transduction pathways. Ca<sup>2+</sup>-mediated thermostabilization and allosteric control therefore share a fundamental conformational coupling mechanism, which may have implications for the evolution of EF hands.</p>
Data from: Invasion of two tick-borne diseases across New England: harnessing human surveillance data to capture underlying ecological invasion processes
Modelling the spatial spread of vector-borne zoonotic pathogens maintained in enzootic transmission cycles remains a major challenge. The best available spatio-temporal data on pathogen spread often take the form of human disease surveillance data. By applying a classic ecological approach—occupancy modelling—to an epidemiological question of disease spread, we used surveillance data to examine the latent ecological invasion of tick-borne pathogens. Over the last half-century, previously undescribed tick-borne pathogens including the agents of Lyme disease and human babesiosis have rapidly spread across the northeast United States. Despite their epidemiological importance, the mechanisms of tick-borne pathogen invasion and drivers underlying the distinct invasion trajectories of the co-vectored pathogens remain unresolved. Our approach allowed us to estimate the unobserved ecological processes underlying pathogen spread while accounting for imperfect detection of human cases. Our model predicts that tick-borne diseases spread in a diffusion-like manner with occasional long-distance dispersal and that babesiosis spread exhibits strong dependence on Lyme disease.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.