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6,452
datasets available to search
ShareScore release 0.9.0
Dataset results
6,452 results for “Application”
The effect of phosphorus use efficiency affected by humic acid application on root gene expression in Rosa rugosa
GEO Series GSE311024. Rosa rugosa. 9 samples. Type: Expression profiling by high throughput sequencing.
Application of CGH-array for the detection of genomic rearrangements responsible for sindromic mental retardation of unknown cause
GEO Series GSE62439. Homo sapiens. 4 samples. Type: Genome variation profiling by array.
Complete genome sequence of Escherichia coli C - old model organism with a new application in biofilm research
GEO Series GSE125110. Escherichia coli. 6 samples. Type: Expression profiling by high throughput sequencing.
Applications of zebrafish embryo models to predict developmental toxicity for agrochemical product development
GEO Series GSE254415. Danio rerio. 224 samples. Type: Expression profiling by high throughput sequencing.
Application of BiodegPhyloChip for expression profiling of functional genes from diverse contaminated habitats
GEO Series GSE38004. synthetic construct; soil metagenome. 12 samples. Type: Genome variation profiling by array; Expression profiling by array.
Application of machine learning (ML) / deep learning (DL) using multiple epigenetic features reveals H3K27Ac as driver of gene expression prediction across patients with glioblastoma [ATAC-seq]
GEO Series GSE296947. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Clinical application of autologous tumor infiltrating lymphocytes combined with anti-PD-1 antibody in the treatment of advanced hepatocellular carcinoma
GEO Series GSE220670. Homo sapiens. 5 samples. Type: Expression profiling by high throughput sequencing.
Simulating cell-free chromatin using preclinical cancer models for liquid biopsy applications [ATAC-Seq]
GEO Series GSE242166. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Application of Array CGH technique for the clinical diagnosis of developmental delay and congenital malformations in Saudi Arabia [400k]
GEO Series GSE182081. Homo sapiens. 52 samples. Type: Genome variation profiling by genome tiling array.
Combined application of whole transcriptome sequencing and ceRNA theory: lncRNA LOC110519952 participates in glucose transport under hypoxia stress in rainbow trout (Oncorhynchus mykiss) by regulating
GEO Series GSE239806. Oncorhynchus mykiss. 9 samples. Type: Expression profiling by high throughput sequencing.
Pheno-RNA, a method to identify genes linked to a specific phenotype: application to cellular transformation
GEO Series GSE149141. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.
Recurrent application of dietary restriction reduces tumor load and increases lifespan in an intestinal cancer model
GEO Series GSE134485. insect gut metagenome; Drosophila melanogaster. 110 samples. Type: Expression profiling by high throughput sequencing; Other.
Transcriptomic analysis of grapevine in response to ABA application reveals its diverse regulations during cold acclimation and deacclimation
GEO Series GSE184114. Vitis vinifera. 74 samples. Type: Expression profiling by high throughput sequencing.
Application of machine learning (ML) / deep learning (DL) using multiple epigenetic features reveals H3K27Ac as driver of gene expression prediction across patients with glioblastoma [RNA-Seq]
GEO Series GSE296945. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
Therapeutically Applicable Research to Generate Effective Treatments (TARGET)
The Therapeutically Applicable Research to Generate Effective Treatments (TARGET) program applies a comprehensive genomic approach to determine molecular changes that drive childhood cancers. The goal of the program is to use data to guide the development of effective, less toxic therapies. TARGET is organized into a collaborative network of disease-specific project teams.
Fig. 9 in A 3D interactive method for estimating body segmental parameters in animals: Application to the turning and running performance of Tyrannosaurus rex
Fig. 9. Mass sets used for the Tyrannosaurus turning body analysis; shown for Models 1, 30, and 3.
Constrained Application Protocol (CoAP) Internet of Things Protocol Dataset
<p><strong>Implementation of Constrained Application Protocol on IoT using Constrained RESTful Environments Constrained Device.</strong><br> <em>status : on repository</em></p> <p>This study discusses the implementation of the Constrained Application Protocol (CoAP) using Constrained RESTful Environments (CoRE) on RFC 7252 which is used as a research parameter.</p> <p>The implementation of this Limited Application Protocol uses Internet of Things (IoT) technology. The testing technique is carried out offline and the device used is based on the constrained device. Network performance testing parameters in this study are UDP throughput, UDP delay, UDP packet loss and UDP packet delivery ratio. Testing network performance with LED and Buzzer output produces the largest average UDP throughput, namely 4.5737 Kbps while the smallest average throughput is 1.2293 Kbps, the largest average UDP delay result is 2 seconds and the smallest average is 0.6 seconds, then the average UDP packet loss yield is 0% while the average successful packet delivery ratio is 100%. From the results of this test, the Constrained Application Protocol (CoAP) has smaller network performance results than the HyperText Transfer Protocol (HTTP) to be implemented in Internet of Things (IoT) technology.</p>
The design, pharmacology, and toxicology exploring of a novel chemically modified siRNA targeting hepatic angiotensinogen with potential application for hypertension treatment
Open the record for dataset details and reuse information.
Dataset - Heavy-oxide glasses with superior mechanical assets for nonlinear fiber applications in the mid-infrared
<p>Dataset related to article:</p> <p>Heavy-oxide glasses with superior mechanical assets for nonlinear fiber applications in the mid-infrared. Clément Strutynski, Florian Calzavara, Théo Guerineau, Laura Loi, Romain Laberdesque, Jean-Michel Rampnoux, Steeve Morency, Yannick Ledemi, Yannick Petit, Marc Dussauze, Frédéric Désévédavy, Frédéric Smektala, Sylvain Danto, Lionel Canioni, Younes Messaddeq, Evelyne Fargin, Thierry Cardinal. Optical Materials Express. 2021, volume 11, issue 5, pp. 1420-1430</p> <p><a href="https://doi.org/10.1364/ome.417699">https://doi.org/10.1364/ome.417699</a> </p> <p>The data were measured internally with instrumentations belonging to the tem in Bordeaux.</p> <ul> <li>UV-Visible-NIR transmission spectra of the glass were recorded in the 0.2 µm - 3.3 µm range using an Agilent Cary 5000 UV-Vis-NIR spectrometer. Transmission in the Mid-IR was collected using a Bruker FTIR</li> <li>Optical losses measurements of single-index fibers were carried out using the cutback method on several meters-long samples.</li> <li>The Raman gain cross-section was calculated from spontaneous scattering spectra measured in in VV (vertical polarization for the excitation and the analysis) configuration using a micro-Raman setup.</li> </ul> <p>A spectroscopic phase modulated ellipsometric measurement had thus been performed with an UVISEL apparatus (HORIBA Jobin-Yvon) to determine the refractive index n of the GGBLaY glass, after a fine calibration of the ellipsometre with the reference Silica glass over the spectral range between 0.260 µm to 2 µm thanks to the comparison to literature.</p>
Dataset for paper [Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique]
<p>Since radiology reports needed for clinical practice and research are written and stored in free-text narrations, extraction of relative information for further analysis is difficult. In these circumstances, natural language processing (NLP) techniques can facilitate automatic information extraction and transformation of free-text formats to structured data. In recent years, deep learning (DL)-based models have been adapted for NLP experiments with promising results. Despite the significant potential of DL models based on artificial neural networks (ANN) and convolutional neural networks (CNN), the models face some limitations to implement in clinical practice. Transformers, another new DL architecture, have been increasingly applied to improve the process. Therefore, in this study, we propose a transformer-based fine-grained named entity recognition (NER) architecture for clinical information extraction. We collected 88 abdominopelvic sonography reports in free-text formats and annotated them based on our developed information schema. The text-to-text transfer transformer model (T5) and Scifive, a pre-trained domain-specific adaptation of the T5 model, were applied for fine-tuning to extract entities and relations and transform the input into a structured format. Our transformer-based model in this study outperformed previously applied approaches such as ANN and CNN models based on ROUGE-1, ROUGE-2, ROUGE-L, and BLEU scores of 0.816, 0.668, 0.528, and 0.743, respectively, while providing an interpretable structured report.</p>
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.