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486
datasets available to search
ShareScore release 0.9.0
Dataset results
486 results for “Hierarchical”
BSSE_QGF_61757 L001-L009 (Single-cell mRNA profiling reveals the hierarchical response of miRNA targets to miRNA induction)
<p>Fastq files from sequencing of sample BSSE_QGF_61757 L001 to L009</p> <p>Publication: https://doi.org/10.15252/msb.20188266</p>
BSSE_QGF_61756 (Single-cell mRNA profiling reveals the hierarchical response of miRNA targets to miRNA induction)
<p>Fastq files from sequencing of sample BSSE_QGF_61756</p> <p>Publication: https://doi.org/10.15252/msb.20188266</p>
BSSE_QGF_61759 (Single-cell mRNA profiling reveals the hierarchical response of miRNA targets to miRNA induction)
<p>Fastq files from sequencing of sample BSSE_QGF_61759</p> <p>Publication: https://doi.org/10.15252/msb.20188266</p>
BSSE_QGF_61758 (Single-cell mRNA profiling reveals the hierarchical response of miRNA targets to miRNA induction)
<p>Fastq files from sequencing of sample BSSE_QGF_61758</p> <p>Publication: https://doi.org/10.15252/msb.20188266</p>
Data from: A hierarchical model for external electrical control of an insect, accounting for inter-individual variation of muscle force properties
<p>Cyborg control of insect movement is promising for developing miniature, high-mobility, and efficient biohybrid robots. However, considering the inter-individual variation of the insect neuromuscular apparatus and its neural control is challenging. We propose a hierarchical model including inter-individual variation of muscle properties of three leg muscles 14 involved in propulsion (retractor coxae), joint stiffness (pro- and retractor coxae), and stance-swing transition (protractor coxae and levator trochanteris) in the stick insect Carausius morosus. To estimate mechanical effects induced by external muscle stimulation, the model is based on the systematic evaluation of joint torques as functions of electrical stimulation parameters. A nearly linear relationship between the stimulus burst duration and generated torque was observed. This stimulus-torque characteristic holds for burst durations of up to 500ms, corresponding to the stance and swing phase durations of medium to fast walking stick insects. Hierarchical Bayesian modeling revealed that linearity of the stimulus-torque characteristic was invariant, with individually varying slopes. Individual prediction of joint torques provides significant benefits for precise cyborg control.</p>
FT-IR data set for hierarchical cluster-based deep learning
<p>FT-IR of raw materials described in Kristoffersen et al. (2019) doi:<a href="https://doi.org/10.1016/j.talanta.2019.06.084">10.1016/j.talanta.2019.06.084</a>. Predicts average molecular weight after hydrolysis. The data is pre-processed using Savitzky-Golay 2nd derivative smoothing (with window width 11 pt and 3rd order polynomial smoothing) followed by extended multiplicative signal correction (EMSC). </p>
A hierarchical N-mixture model to estimate behavioral variation and a case study of Neotropical birds
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zigzag: A Hierarchical Bayesian Mixture Model for Inferring the Expression State of Genes in Transcriptomes
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Developing hierarchical density-structured models to study the national-scale dynamics of an arable weed
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Data from: A hierarchical population model for the estimation of latent prey abundance and demographic rates of a nomadic predator
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Coupled stochastic modelling of hierarchical channel network dynamics and metapopulation persistency - Dataset
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Deciphering the explanatory potential of blood pressure variables on post-operative length of stay through hierarchical clustering: A retrospective monocentric study
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Data from: Carbonate shelf development and early Paleozoic benthic diversity in Baltica: A hierarchical diversity partitioning approach using brachiopod data
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Data from: Hierarchical variation in phenotypic flexibility across timescales and associated survival selection shape the dynamics of partial seasonal migration
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Dataset and R code from: Positive and negative effects of land abandonment on butterfly communities revealed by a hierarchical sampling design across climatic regions
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Anonymized source data files for figures in: Recurrent processes support a cascade of hierarchical decisions
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A hierarchical model for eDNA fate and transport dynamics accommodating low concentration samples
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Private QTLs underlie the genetic architecture of hierarchical size traits in <em>Drosophila</em>
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Estimating wildlife populations and their dynamics using multiple data sources and a hierarchical integrated model: the case of California's black bears
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Data from: Unraveling hierarchical genetic structure in a marine metapopulation: a comparison of three high-throughput genotyping approaches
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ScienceDex guides
Understand access before you commit
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.