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96
datasets available to search
ShareScore release 0.9.0
Dataset results
96 results for “Time processing”
Wound healing process after ventricular resection in zebrafish: time course (zebrafish)
GEO Series GSE72348. Danio rerio. 9 samples. Type: Expression profiling by array.
Time-series reveals processes underlying colon inflammation and repair
GEO Series GSE131032. Mus musculus. 26 samples. Type: Expression profiling by high throughput sequencing.
miRNA expression in a time-series EMT process of 0h, 24h and 96h via next-generation sequencing
GEO Series GSE87358. Homo sapiens. 12 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Wound healing process after TBI in zebrafish: time course (zebrafish)
GEO Series GSE56375. Danio rerio. 9 samples. Type: Expression profiling by array.
Cognitive Process-based Real-time fMRI Neurofeedback in MDD and Rumination
ClinicalTrials.gov study NCT04941066. IPD Sharing: NO. Countries: 1. Publications: 0.
Effect of Ilex Paraguariensis Harvest Time and Consumption Method of Processed Yerba Mate on the Lipid Profile
ClinicalTrials.gov study NCT06896175. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
The Effect of Vaginal Speculum Type and Retention Time on Pregnancy Outcomes During The Embryo Transfer Process
ClinicalTrials.gov study NCT06619379. IPD Sharing: YES. Countries: 1. Publications: 0.
Rapid Processing and Immunohistochemistry Method for Optimising Diagnosis Time in Solid Organ Donors, Suspected Malignancy
ClinicalTrials.gov study NCT06734091. IPD Sharing: NO. Countries: 1. Publications: 0.
The Effect of Virtual Reality Glasses on Fear of Birth, Delivery Time and Non-Stress Test Results in Pregnancy in the Process of Labor
ClinicalTrials.gov study NCT05723666. IPD Sharing: NO. Countries: 1. Publications: 0.
A time-course transcriptomic analysis during the cork growing season highlights the regulatory and developmental processes from phellogen to phellem formation
GEO Series GSE155544. Quercus suber. 11 samples. Type: Expression profiling by high throughput sequencing.
DNA microarrays (time course) in the iPS process treated with microRNA clusters
GEO Series GSE23104. Mus musculus. 12 samples. Type: Expression profiling by array.
SCALABLE TIME SERIES CHANGE DETECTION FOR BIOMASS MONITORING USING GAUSSIAN PROCESS
SCALABLE TIME SERIES CHANGE DETECTION FOR BIOMASS MONITORING USING GAUSSIAN PROCESS VARUN CHANDOLA* AND RANGA RAJU VATSAVAI* Abstract. Biomass monitoring, specifically, detecting changes in the biomass or vegetation of a geographical region, is vital for studying the carbon cycle of the system and has significant implications in the context of understanding climate change and its impacts. Recently, several time series change detection methods have been proposed to identify land cover changes in temporal profiles (time series) of vegetation collected using remote sensing instruments. In this paper, we adapt Gaussian process regression to detect changes in such time series in an online fashion. While Gaussian process (GP) has been widely used as a kernel based learning method for regression and classification, their applicability to massive spatio-temporal data sets, such as remote sensing data, has been limited owing to the high computational costs involved. In our previous work we proposed an efficient Toeplitz matrix based solution for scalable GP parameter estimation. In this paper we apply these solutions to a GP based change detection algorithm. The proposed change detection algorithm requires a memory footprint which is linear in the length of the input time series and runs in time which is quadratic to the length of the input time series. Experimental results show that both serial and parallel implementations of our proposed method achieve significant speedups over the serial implementation. Finally, we demonstrate the effectiveness of the proposed change detection method in identifying changes in Normalized Difference Vegetation Index (NDVI) data.
Transcriptome analysis of apple peel samples at different time points in the process of changing from green to red under light conditions after unbagging
GEO Series GSE185089. Malus domestica. 9 samples. Type: Expression profiling by high throughput sequencing.
ADHD200 preprocessed regional time series processed with NIAK and the ROI1000 brain parcellation
<p>See README.md.</p>
Real Time Identity Processes data
<p>Datasets for the Special Issue "Real-Time Identity Processes" in the journal "Identity : a journal for theory and research". These datas were use for Spearman's rho correlations and Linear Mixed Models.</p>
Modeling non-Gaussian time-varying vector autoregressive process
We present a novel and general methodology for modeling time-varying vector autoregressive processes which are widely used in many areas such as modeling of chemical processes, mobile communication channels and biomedical signals. In the literature, most work utilize multivariate Gaussian models for the mentioned applications, mainly due to the lack of efficient analytical tools for modeling with non-Gaussian distributions. In this paper, we propose a particle filtering approach which can model non-Gaussian autoregressive processes having cross-correlations among them. Moreover, time-varying parameters of the process can be modeled as the most general case by using this sequential Bayesian estimation method. Simulation results justify the performance of the proposed technique, which potentially can model also Gaussian processes as a sub-case.
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.