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211
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ShareScore release 0.9.0
Dataset results
211 results for “HAR”
Harnessing the microbiome to regulate systemic innate immunity I
GEO Series GSE236817. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Harnessing proximal T cell signaling molecules for enhanced CAR T cell activity
GEO Series GSE270399. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Harnessing T-cell exhaustion and trogocytosis to isolate patient-derived tumor-specific TCR
GEO Series GSE246651. Homo sapiens. 28 samples. Type: Other.
A bioactive hydrogel harnessing the regenerative potential of notochordal cells serves as instructive cell carrier for nucleus pulposus repair [scRNA-seq dog]
GEO Series GSE313238. Canis lupus familiaris. 6 samples. Type: Expression profiling by high throughput sequencing.
Harnessing TFEB to treat abdominal aortic aneurysm
GEO Series GSE137577. Homo sapiens. 12 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Harnessing Notch Signaling to Enhance the Generation and Functionality of Human Conventional Type I Dendritic Cells for Cancer Immunotherapy Applications
GEO Series GSE273410. Homo sapiens. 11 samples. Type: Expression profiling by high throughput sequencing.
Harnessing Self-Labeling Enzymes for Selective and Concurrent A-to-I and C-to-U RNA Base Editing
GEO Series GSE160945. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
Post-transcriptional regulation can harness genome instability and provide phenotypic robustness during fitness gain in the human parasite Leishmania donovani
GEO Series GSE165615. Leishmania donovani. 15 samples. Type: Expression profiling by high throughput sequencing.
Data from: Harnessing olfactory bulb oscillations to perform fully brain-based sleep-scoring and real-time monitoring of anesthesia depth
Real-time tracking of vigilance states related to both sleep or anaesthesia has been a goal for over a century. However, sleep scoring cannot currently be performed with brain signals alone, despite the deep neuromodulatory transformations that accompany sleep state changes. Therefore, at heart, the operational distinction between sleep and wake is that of immobility and movement, despite numerous situations in which this one-to-one mapping fails. Here we demonstrate, using local field potential (LFP) recordings in freely moving mice, that gamma (50–70 Hz) power in the olfactory bulb (OB) allows for clear classification of sleep and wake, thus providing a brain-based criterion to distinguish these two vigilance states without relying on motor activity. Coupled with hippocampal theta activity, it allows the elaboration of a sleep scoring algorithm that relies on brain activity alone. This method reaches over 90% homology with classical methods based on muscular activity (electromyography [EMG]) and video tracking. Moreover, contrary to EMG, OB gamma power allows correct discrimination between sleep and immobility in ambiguous situations such as fear-related freezing. We use the instantaneous power of hippocampal theta oscillation and OB gamma oscillation to construct a 2D phase space that is highly robust throughout time, across individual mice and mouse strains, and under classical drug treatment. Dynamic analysis of trajectories within this space yields a novel characterisation of sleep/wake transitions: whereas waking up is a fast and direct transition that can be modelled by a ballistic trajectory, falling asleep is best described as a stochastic and gradual state change. Finally, we demonstrate that OB oscillations also allow us to track other vigilance states. Non-REM (NREM) and rapid eye movement (REM) sleep can be distinguished with high accuracy based on beta (10–15 Hz) power. More importantly, we show that depth of anaesthesia can be tracked in real time using OB gamma power. Indeed, the gamma power predicts and anticipates the motor response to stimulation both in the steady state under constant anaesthetic and dynamically during the recovery period. Altogether, this methodology opens the avenue for multi-timescale characterisation of brain states and provides an unprecedented window onto levels of vigilance.
Spatially-diverse High-dimensional Channel State Information (CSI) based Dataset for Human Activity Recognition (HAR)
<p><strong>Introduction</strong></p> <p>The data collection for this novel channel state information (CSI)-based human activity recognition (HAR) dataset was conducted in a rigorously controlled laboratory environment. The space, measuring 5 meters x 8 meters x 3 meters, served as a well-defined testing ground. Four strategically positioned ESP32 devices formed transceiver pairs in a diagonal network, functioning as both transmitters and receivers, which are separated by a distance of 1.5 meters. The transmitters, powered by external power banks for consistent operation, were mounted on tripods at a height of 1.5 meters on the north and east corners. Their corresponding receivers, connected to laptops via USB for real-time CSI data acquisition, were positioned on the south and west corners.</p> <p>This dataset captures a wider range of activities (including subtle movements) and accounts for variations in body type and environmental conditions. It achieves this by collecting CSI data in a controlled environment using multiple transmitter-receiver pairs positioned at different orientations. This setup captures CSI information across 166 subcarriers used in Wi-Fi Wi-Fi IEEE 802.11n on channel 11, providing a richer and more nuanced view of human movement compared to traditional datasets. This data is expected to lead to the development of more robust and generalizable HAR models with higher accuracy and real-world applicability.</p> <p><strong>Description of Dataset</strong></p> <p>The dataset is housed within a directory named "SHD-HAR-Dataset-main" in the repository. This directory is further divided into "raw" and "amplitude" subdirectories. Data in "raw" and "amplitude" directories is further categorized based on participant orientation relative to the transceivers ("front/side"). It's important to note that the samples are synchronized between the "front" and "side" folders. This is because both devices collected data simultaneously for a particular activity. To summarize, the file "activityX.csv" in the "front" folder was collected at the same time as the corresponding "activityX.csv" file in the "side" folder, where "X" represents a unique identifier for each sample. </p> <p>The "raw" directory stores the unprocessed CSI data for each activity sample. These samples are stored as individual CSV files ("activityX.csv") containing 300-450 packets of CSI data obtained within 5 seconds. Each packet encompasses 25 distinct data fields, resulting in a total of 300-450 x 25 data entries per activity stored within the ".csv" file. </p> <p>The "amplitude" directory contains the processed signal amplitude data for 166 subcarriers. This directory mirrors the structure of the "raw" directory, with subdirectories for "front" and "side" orientations and "activityX.csv" files for each sample. However, the data within these files is transformed into a 300-450 x 166 matrix, representing the extracted signal amplitudes from the original CSI data. This format significantly reduces dimensionality while preserving key information for HAR analysis.</p>
KONTЕYNЕR IDISHLARDAGI HAR HIL TUPROQLI OZUQA SUBSTRATLARINING TOJIK KOVRAGI (FERULA TADSHICORUM) URUG'LARI UNUVCHANLIGIGA TA'SIRI
<p><em><span>Ushbu maqolada Ferula tadshikorum dorivorlik xususiyatlari va ildizidan olinadigan shirasiga talab yuqori bo‘lgan turlardan biri bo‘lib hisoblanadi. Mazkur turni respublikaning turli tuproq-iqlim sharoitiga introduksiya qilish dolzarb masalalardan hisoblanadi. Shunga ko‘ra 2023–2024 yillar davomida Surxondaryo viloyatining Bobotog‘ o‘rmon xo‘jaligida joylashgan . Ferula tadshikorum dorivor o‘simligini etishtirishning yuqori darajadagi agrotexnologiyasini ishlab chiqish uchun yopiq konteynerlarda 3 xil variantlarda to‘ldirilgan substrat aralashmasi, ya'ni: kokos substrati, tuproq va kokos substrati va o‘rta tusli bo‘z tuproqqa yanvar oyining uchinchi dekadasida havo harorati +4+12˚</span></em><em><span>С</span></em><em><span> bo‘lganda o‘simlikning 1-2 donadan urug‘lari 3-4 sm chuqurlikda ochiq sharoitda ekildi. Ferula tadshikorum dorivor o‘simligi urug‘larini optimal ekish muddati, ozuqa substratlari va unib chiqqan individlarni ko‘chirib o‘tqazish variantlari aniqlandi. </span></em></p>
Harnessing Natural Language Processing to Deciphers Ancient Temple Texts
<p>This paper explores the use of Natural Language Processing (NLP) and Optical Character Recognition (OCR) to digitize and translate ancient Indian temple inscriptions. By applying machine learning to ancient languages like Sanskrit and Tamil, the research offers methods to decode and reconstruct eroded texts. Semantic analysis tools are also used to uncover the cultural and historical significance of the inscriptions. This interdisciplinary approach combines data science with cultural preservation, providing new ways to understand ancient texts.</p>
Data from: Harnessing the NEON data revolution to advance open environmental science with a diverse and data-capable community
<p>It is a critical time to reflect on the National Ecological Observatory Network (NEON) science to date as well as envision what research can be done right now with NEON (and other) data and what training is needed to enable a diverse user community. NEON became fully operational in May 2019 and has pivoted from planning and construction to operation and maintenance. In this overview, the history of and foundational thinking around NEON are discussed. A framework of open science is described with a discussion of how NEON can be situated as part of a larger data constellation—across existing networks and different suites of ecological measurements and sensors. Next, a synthesis of early NEON science, based on > 100 existing publications, funded proposal efforts, and emergent science at the very first NEON Science Summit (hosted by Earth Lab at the University of Colorado Boulder in October 2019) is provided. Key questions that the ecology community will address with NEON data in the next 10 years are outlined, from understanding drivers of biodiversity across spatial and temporal scales to defining complex feedback mechanisms in human-environmental systems. Last, the essential elements needed to engage and support a diverse and inclusive NEON user community are highlighted: training resources and tools that are openly available, funding for broad community engagement initiatives, and a mechanism to share and advertise those opportunities. NEON users require both the skills to work with NEON data and the ecological or environmental science domain knowledge to understand and interpret them. This paper synthesizes early directions in the community's use of NEON data, and opportunities for the next 10 years of NEON operations in emergent science themes, open science best practices, education and training, and community building.</p>
Parade harness for a horse
Inventory number: MT-E/1430/2 b District Museum in Tarnów https://muzea.malopolska.pl/en/objects-list/1435 Source: Objaverse 1.0 / Sketchfab
Wmid-436a3d - Harness fitting
A complete copper alloy terret ring or harness fitting of the Late Iron Age to Early Roman period, dating from c. BC 150 - c. AD 100. The ring is circular in plan and broadly circular in section. It is convex on the outside edge and flattened slightly on the inner edge. The ring is heavily abraded all over the surface, but abrasion is less on the inner edge. There is no further decoration on the surface of the object. For more information, please visit the online database record available at: https://finds.org.uk/database/artefacts/record/id/1059844. Source: Objaverse 1.0 / Sketchfab
Harnessing Allo-immunity to Enhance Immune Checkpoint Inhibitor Responses in Advanced NSCLC
ClinicalTrials.gov study NCT06064279. IPD Sharing: YES. Countries: 1. Publications: 0.
Campus Life Study: Harnessing Generativity Among Young Adults
ClinicalTrials.gov study NCT04207528. IPD Sharing: NO. Countries: 1. Publications: 0.
Harnessing Macrophage Lysosomal Lipid Metabolism in Obesity (ATM)
ClinicalTrials.gov study NCT06571474. IPD Sharing: NO. Countries: 1. Publications: 0.
Harnessing Analysis RNA Expression and Molecular Subtype to Optimize Novel TherapY MBCA
ClinicalTrials.gov study NCT03769415. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Pilot Evaluation of the NimbleHeart Harness System in Cardiac Rehabilitation (PEN-CR)
ClinicalTrials.gov study NCT02542163. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ScienceDex guides
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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.