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Dataset results
24 results for “defect identification”
Data for "Identification of Killer Defects in Kesterite Thin-Film Solar Cells"
<p>**README**</p> <p>Data for "Identification of Killer Defects in Kesterite Thin-Film Solar Cells"</p> <p>DOI: 10.1021/acsenergylett.7b01313</p> <p><br> * File Tree <br> ---<br> * DFT_CALC // Row input file for DFT calculation (VASP)<br> * XX_DEFECT_CZTS(e) // Data for CZTS (or CZTSe)<br> * XX_PRIM(ORTHO/221) // Data for bulk (primitive, orthogonal or 2X2X1 supercell)<br> * XX_Defect // Data for defect (V_S, Sn_Cu, Sn_Zn, Cu_Sn)<br> * XX_q // SCF calculation with charge state q <br> * fig // data used to draw figures<br> * 00_atomic_structure <br> * 01_charge_transition_level<br> * 02_charge_density<br> * 03_configuration_coordinate<br> * 20_SI_PHASE_DIAGRAM</p>
Explanations for "Defect Identification, Categorization, and Repair: Better Together"
<p><strong>Explanations for "Defect Identification, Categorization, and Repair: Better Together"</strong></p>
Defect Identification, Categorization, and Repair:Better Together
<p><strong>CompDefect-replication-package</strong></p> <p><strong>This repository contains source code that we used to perform experiments in "Defect Identification, Categorization, and Repair: Better Together" paper.</strong></p> <p><strong>The paper is now under view.</strong></p> <p><strong><a href="https://arxiv.org/pdf/2204.04856.pdf">https://arxiv.org/pdf/2204.04856.pdf</a></strong></p>
High Throughput Pipeline for Segmentation and Defect Identification
<p>HRTEM micrographs of gold and cadmium selenide nanoparticles and corresponding semantic segmentation maps for neural network training.</p>
Data from: Identification of genetic defects in 33 probands with Stargardt disease by WES-based bioinformatics gene panel analysis
Stargardt disease (STGD) is the most common hereditary macular degeneration in juveniles, with loss of central vision occurring in the first or second decade of life. The aim of this study is to identify the genetic defects in 33 probands with Stargardt disease. Clinical data and genomic DNA were collected from 33 probands from unrelated families with STGD. Variants in coding genes were initially screened by whole exome sequencing. Candidate variants were selected from all known genes associated with hereditary retinal dystrophy and then confirmed by Sanger sequencing. Putative pathogenic variants were further validated in available family members and controls. Potential pathogenic mutations were identified in 19 of the 33 probands (57.6%). These mutations were all present in ABCA4, but not in the other four STGD-associated genes or in genes responsible for other retinal dystrophies. Of the 19 probands, ABCA4 mutations were homozygous in one proband and compound heterozygous in 18 probands, involving 28 variants (13 novel and 15 known). Analysis of normal controls and available family members in 12 of the 19 families further support the pathogenicity of these variants. Clinical manifestation of all probands met the diagnostic criteria of STGD. This study provides an overview of a genetic basis for STGD in Chinese patients. Mutations in ABCA4 are the most common cause of STGD in this cohort. Genetic defects in approximately 42.4% of STGD patients await identification in future studies.
Data from: Identification of genetic defects in 33 probands with Stargardt disease by WES-based bioinformatics gene panel analysis
Open the record for dataset details and reuse information.
Identification and therapeutic rescue of autophagosome and glutamate receptor defects in C9ORF72 and sporadic ALS neurons
GEO Series GSE133162. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Identification and validation of miRNAs in colorectal cancer (CRC) in early age diagnosed patients without MMR defect
GEO Series GSE123040. Homo sapiens; synthetic construct. 8 samples. Type: Non-coding RNA profiling by array.
Transcriptome-wide identification of splicing defects upon XAB2 knockdown
GEO Series GSE130087. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Dyw2-DYW2_OTP100: Identification of the transcriptome defects (nuclear and organelles) of the T-DNA KO mutants of DYW2 and OTP100
GEO Series GSE100298. Arabidopsis thaliana. 12 samples. Type: Expression profiling by high throughput sequencing.
Identification of a mitochondrial defect gene signature reveals NUPR1 as a key regulator of liver cancer progression
GEO Series GSE64505. Homo sapiens. 15 samples. Type: Expression profiling by array.
Identification of Differentially Expressed Genes in Human Testis Biopsies with Defective Spermatogenesis
GEO Series GSE224929. Homo sapiens. 7 samples. Type: Expression profiling by high throughput sequencing.
Identification of mutations that cooperate with defects in B cell transcription factors to initiate leukemia
GEO Series GSE148680. Mus musculus. 64 samples. Type: Expression profiling by high throughput sequencing; Other.
Identification of Copy Number Variants in Patients with Hypoplastic Left Heart Syndrome and Other Congenital Heart Defects
GEO Series GSE66032. Homo sapiens. 70 samples. Type: Genome variation profiling by SNP array.
Identification of the causative mutation (using Whole Genome Sequencing) in Arabidopsis EMS mutants showing subcellular trafficking defects
GEO Series GSE146989. Arabidopsis thaliana. 4 samples. Type: Genome variation profiling by high throughput sequencing.
Identification of mutations that cooperate with defects in B cell transcription factors to initiate leukemia [variation]
GEO Series GSE148678. Mus musculus. 11 samples. Type: Expression profiling by high throughput sequencing; Other.
Anonymized data for paper "Cross-Project Defect Identification via Path-Based Semantic Feature Representation" submitted to ICSE 2022
<p>The project includes the dataset and code used in the submitted ICSE 2022 paper titled "# 971 Cross-Project Defect Identification via Path-Based Semantic Feature Representation"</p>
Immunodeficiency and Cancer: Identification of Congenital Immune System Defects Underlying Paediatric Lymphomas
ClinicalTrials.gov study NCT06332196. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Identification of Molecular Defects in Idiopathic Cytopenia of Undetermined Significance
ClinicalTrials.gov study NCT02804984. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Identification of Genetic Basis of Atrioventricular Conduction Defects: From Congenital Forms to Degenerative Forms
ClinicalTrials.gov study NCT02881671. IPD Sharing: NO. Countries: 1. Publications: 0.
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.