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42
datasets available to search
ShareScore release 0.9.0
Dataset results
42 results for “Frequency prediction”
Assessing the Predictive Value of High Frequency Algorithm of PURE EP for Low Amplitude Signal Detection
ClinicalTrials.gov study NCT05450302. IPD Sharing: NO. Countries: 1. Publications: 2.
Data from: Contemporary evolution of sea urchin gamete-recognition proteins: experimental evidence of density-dependent gamete performance predicts shifts in allele frequencies over time
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Data from: Exploiting Poisson additivity to predict fire frequency from maps of fire weather and land cover in boreal forests of Québec, Canada
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Data from: Does body size predict the buzz-pollination frequencies used by bees?
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Data from: Mitogenomes and relatedness do not predict frequency of tool-use by sea otters
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Relative species abundance successfully predicts nestedness and interaction frequency of monthly pollination networks in an alpine meadow
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Data from: Plasticity-led evolution: evaluating the key prediction of frequency-dependent adaptation
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The expression of care: alloparental care frequency predicts neural control of facial muscles in primates
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Data from: The rate of transient beta frequency events predicts behavior across tasks and species
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Does a tradeoff between temporal stability and sampling frequency contribute to prediction accuracy of alternative stable states of soil moisture?
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Baseline Frequency of Inflammatory Cxcl9 Expressing Tumor-Associated Macrophages Predicts Response to Avelumab (anti-PDL-1) Treatment
GEO Series GSE150970. Mus musculus. 30 samples. Type: Expression profiling by high throughput sequencing.
High-frequency recurrence index for predicting multiple recurrences in non-muscle-invasive bladder cancer (Validation cohort)
GEO Series GSE294705. Homo sapiens. 94 samples. Type: Expression profiling by high throughput sequencing.
Leukocyte gene expression predicts human temporal lobe epilepsy seizure frequency
GEO Series GSE217726. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.
Ultra-high-frequency ECG for Prediction of Left Ventricular Remodeling
ClinicalTrials.gov study NCT04908033. IPD Sharing: Not stated. Countries: 1. Publications: 0.
High-Frequency QRS for Predicting Microvascular Dysfunction and Adverse Events After PCI in Acute Myocardial Infarction
ClinicalTrials.gov study NCT07138638. IPD Sharing: NO. Countries: 1. Publications: 0.
pRedicting the Long-term rEsponse of High Frequency sPinal cOrd sTimulation in Patients With Failed Back Surgery Syndrome.
ClinicalTrials.gov study NCT04500691. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Predicting Breast Flap Necrosis by Spatial Frequency Domain Imaging
ClinicalTrials.gov study NCT02273076. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Pretreatment MRI Predicting Outcome After Radio-frequency Ablation of HCC
ClinicalTrials.gov study NCT02051283. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Predictive Value of Seizure Frequency at Onset for Long-Term Seizure Control
ClinicalTrials.gov study NCT07343609. IPD Sharing: NO. Countries: 0. Publications: 0.
A KNOWLEDGE DISCOVERY STRATEGY FOR RELATING SEA SURFACE TEMPERATURES TO FREQUENCIES OF TROPICAL STORMS AND GENERATING PREDICTIONS OF HURRICANES UNDER 21ST-CENTURY GLOBAL WARMING SCENARIOS
A KNOWLEDGE DISCOVERY STRATEGY FOR RELATING SEA SURFACE TEMPERATURES TO FREQUENCIES OF TROPICAL STORMS AND GENERATING PREDICTIONS OF HURRICANES UNDER 21ST-CENTURY GLOBAL WARMING SCENARIOS CAITLIN RACE*, MICHAEL STEINBACH*, AUROOP GANGULY**, FRED SEMAZZI***, AND VIPIN KUMAR* Abstract. The connections among greenhouse-gas emissions scenarios, global warming, and frequencies of hurricanes or tropical cyclones are among the least understood in climate science but among the most fiercely debated in the context of adaptation decisions or mitigation policies. Here we show that a knowledge discovery strategy, which leverages observations and climate model simulations, offers the promise of developing credible projections of tropical cyclones based on sea surface temperatures (SST) in a warming environment. While this study motivates the development of new methodologies in statistics and data mining, the ability to solve challenging climate science problems with innovative combinations of traditional and state-of-the-art methods is demonstrated. Here we develop new insights, albeit in a proof-of-concept sense, on the relationship between sea surface temperatures and hurricane frequencies, and generate the most likely projections with uncertainty bounds for storm counts in the 21st-century warming environment based in turn on the Intergovernmental Panel on Climate Change Special Report on Emissions Scenarios. Our preliminary insights point to the benefits that can be achieved for climate science and impacts analysis, as well as adaptation and mitigation policies, by a solution strategy that remains tailored to the climate domain and complements physics-based climate model simulations with a combination of existing and new computational and data science approaches.
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.