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Dataset results
119 results for “time series analysis”
Supplementary materials to "Brakenhoff et al., Application of time series analysis to estimate drawdown from multiple well fields."
<p>This repository contains the supplementary material that allow to reproduce all the results from the study submitted to Frontiers journal.</p> <p> </p>
Data from: Using time series analysis to characterize evolutionary and plastic responses to environmental change: a case study of a shift toward earlier migration date in sockeye salmon
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Nonlinear time series analysis of the interaction between the citrus whitefly and the whitefly-specialist ladybird
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Data from: Time-series analysis reveals genetic responses to intensive management of razorback sucker (Xyrauchen texanus)
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Manhattan, New York City, 2020 Traffic Time Series + R Code for Analysis
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Data from: Evolutionary time-series analysis reveals the signature of frequency-dependent selection on a female mating polymorphism
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Forecasting hourly emergency department arrival using time series analysis
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Data from: Novel Fourier quadrature transforms and analytic signal representations for nonlinear and non-stationary time series analysis
The Hilbert transform (HT) and associated Gabor analytic signal (GAS) representation are well-known and widely used mathematical formulations for modeling and analysis of signals in various applications. In this study, like the HT, to obtain quadrature component of a signal, we propose novel discrete Fourier cosine quadrature transforms (FCQTs) and discrete Fourier sine quadrature transforms (FSQTs), designated as Fourier quadrature transforms (FQTs). Using these FQTs, we propose sixteen Fourier quadrature analytic signal (FQAS) representations with following properties: (1) real part of eight FQAS representations is the original signal and imaginary part of each representation is FCQT of real part, (2) imaginary part of eight FQAS representations is the original signal and real part of each representation is FSQT of imaginary part, (3) like the GAS, Fourier spectrum of the all FQAS representations has only positive frequencies, however unlike the GAS, real and imaginary parts of FQAS representations are not orthogonal. The Fourier decomposition method (FDM) is an adaptive data analysis approach to decompose a signal into a set Fourier intrinsic band functions. This study also proposes new formulations of the FDM using discrete cosine transform with GAS and FQAS representations, and demonstrate its efficacy for improved time-frequency-energy representation and analysis of many real-life nonlinear and non-stationary signals.
Data from: Novel Fourier quadrature transforms and analytic signal representations for nonlinear and non-stationary time series analysis
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Time series micro RNA analysis of immature T-cells and reMAIT cells by microarrays
GEO Series GSE88936. Homo sapiens. 8 samples. Type: Non-coding RNA profiling by array.
Discovery of progenitor signatures by time series synexpression analysis during Drosophila cell immortalization [RNA-Seq]
GEO Series GSE73353. Drosophila melanogaster. 32 samples. Type: Expression profiling by high throughput sequencing.
Time-series transcriptomic analysis of murine colon undergoing AOM-DSS tumorigenesis with and without LXR activation
GEO Series GSE180078. Mus musculus. 26 samples. Type: Expression profiling by high throughput sequencing.
Time series single-cell transcriptomic analysis of AEC2 directed differentiation
GEO Series GSE137811. Homo sapiens. 14 samples. Type: Expression profiling by high throughput sequencing.
Time series analysis of retinoblastoma patient derived mesenchymal stem cells differentiated to osteogenic lineage
GEO Series GSE245585. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.
Time series DNA methylation analysis of immature T-cells and reMAIT cells by using methylation array
GEO Series GSE88937. Homo sapiens. 9 samples. Type: Methylation profiling by genome tiling array.
Time-series RNAseq analysis following lateral root induction by gravistimulation
GEO Series GSE199142. Arabidopsis thaliana. 36 samples. Type: Expression profiling by high throughput sequencing.
Time series analysis of transcriptomic responses to iron and zinc stress in Sorghum
GEO Series GSE292584. Sorghum bicolor. 177 samples. Type: Expression profiling by high throughput sequencing.
A Time-series transcriptome analysis of Rosiglitazone effects in mice neonatal cardiomyocytes.
GEO Series GSE117198. Rattus norvegicus albus. 14 samples. Type: Expression profiling by high throughput sequencing.
Time series transcriptomic analysis of sepsis-induced myocardial injury in mice
GEO Series GSE171546. Mus musculus. 20 samples. Type: Expression profiling by high throughput sequencing.
How cyanobacteria pose new problems to old methods: Challenges in microarray time series analysis
GEO Series GSE45667. Synechocystis sp. PCC 6803. 12 samples. Type: Expression profiling by array.
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.