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Dataset results
2,129 results for “scores”
GREEN-VARAN scores resources (CADD GRCh38)
<p>Processed CADD scores to be used with GREEN-VARAN</p> <p>This dataset contains the GRCh38 version for CADD v.1.5.</p> <p>See: <a href="https://cadd.gs.washington.edu/">https://cadd.gs.washington.edu/</a></p> <p>If you use CADD score annotations with GREEN-VARAN don't forget to cite also the original CADD paper.</p>
GREEN-VARAN scores resources (FIRE GRCh37)
<p>Processed FIRE scores to be used with GREEN-VARAN</p> <p>This dataset contains the GRCh37 version for FIRE.</p> <p>See: <a href="https://sites.google.com/site/fireregulatoryvariation/">https://sites.google.com/site/fireregulatoryvariation/</a></p> <p>If you use FIRE score annotations with GREEN-VARAN don't forget to cite also the original FIRE paper.</p>
GREEN-VARAN scores resources (FATHMM-MKL GRCh38)
<p>Processed FATHMM-MKL scores to be used with GREEN-VARAN</p> <p>This dataset contains the GRCh38 version for FATHMM-MKL v2.3 non-coding annotations.</p> <p>See: <a href="http://fathmm.biocompute.org.uk/">http://fathmm.biocompute.org.uk/</a></p> <p>If you use FATHMM-MKL score annotations with GREEN-VARAN don't forget to cite also the original FATHMM-MKL paper.</p>
Eigen scores for human genome assembly GRCh37 Part 1 (Chr1 - Chr3)
<p>Eigen is a spectral approach to the functional annotation of genetic variants in coding and noncoding regions. Eigen makes use of a variety of functional annotations in both coding and noncoding regions (such as protein function scores, evolutionary conservation scores, and epigenetic annotations from ENCODE and Roadmap Epigenomics projects), and combines them into one single measure of functional importance. Eigen is an unsupervised approach, and, unlike many existing methods, is not based on any labelled training data. Eigen produces estimates of predictive accuracy for each functional annotation score, and subsequently uses these estimates of accuracy to derive the aggregate functional score for variants of interest as a weighted linear combination of individual annotations.</p>
Eigen scores for human genome assembly GRCh37 Part 4 (Chr17 - Chr22)
<p>Eigen is a spectral approach to the functional annotation of genetic variants in coding and noncoding regions. Eigen makes use of a variety of functional annotations in both coding and noncoding regions (such as protein function scores, evolutionary conservation scores, and epigenetic annotations from ENCODE and Roadmap Epigenomics projects), and combines them into one single measure of functional importance. Eigen is an unsupervised approach, and, unlike many existing methods, is not based on any labelled training data. Eigen produces estimates of predictive accuracy for each functional annotation score, and subsequently uses these estimates of accuracy to derive the aggregate functional score for variants of interest as a weighted linear combination of individual annotations.</p>
Oral Music of the Maghreb and the Mashriq and the digital encoding of scores / transcriptions
<p>2<sup>nd</sup> Lecture</p>
Analysis and Visualization of World Happiness Score 2015 - 2020
<p>This is a project about analysis and visualization of word happiness scores from 2015 to 2020. Data source: World happiness score is from kaggle:<a href="https://www.kaggle.com/mathurinache/world-happiness-report">https://www.kaggle.com/mathurinache/world-happiness-report</a> and original from the World Happiness Report: <a href="https://worldhappiness.report/">https://worldhappiness.report/</a>. It's about 153 countries' happiness scores between 2015 to 2020, a total of 11665 data points. The project will talk about the following questions: </p> <p>1, What countries have a high happiness score?</p> <p>2, What regions have a high happiness score?</p> <p>3, What indexes have a high correlation with happiness score?</p> <p>4, What do happy countries have in common?</p> <p>5, What countries are doing well to improve their happiness from 2015 to 2020</p>
Jumping Competition, Judges Scores in Breeding Shows and Principal Components of Accelerometric data
<p>Data for :</p> <p>"Genetic consistency between gait analysis by accelerometry and evaluation scores at breeding shows for the selection of<br> jumping competition horses" submitted PloS One</p> <p>The format is the format of WOMBAT software ( Meyer K. WOMBAT—A tool for mixed model analyses in quantitative genetics by restricted maximum likelihood (REML). Journal of Zhejiang University Science B. 2007;8(11):815-21. doi: 10.1631/jzus.2007.B0815. PubMed PMID: PMC2064953. ). By column:</p> <p>- trait</p> <p>- animal ID</p> <p>- permanent environmental ID</p> <p>- permanent environmental ID</p> <p>- sex</p> <p>- event (for accelerometric traits)</p> <p>- sex (for accelerometric traits)</p> <p>- age (for accelerometric traits)</p> <p>- breed</p> <p>- type of gait (Medium/working for the different gaits)</p> <p>- sex (for judge scores)</p> <p>- age (for judge scores)</p> <p>- year (for judge scores)</p> <p>- local/regional/national type(for judge scores)</p> <p>- category (for judge scores)</p> <p>- event (for judge scores)</p> <p>- combination of year and age (for jumping performance)</p> <p>- sex (for jumping performance)</p> <p>- velocity (for accelerometric data)</p> <p>- Height at withers (for accelerometric data)</p> <p>- performance</p> <p>List of traits :</p> <p>1 to 3 : Principal Components (PCs) for Trot</p> <p>4 to 6 PCs for canter</p> <p>7 : annual jumping competition performance</p> <p>8 Neck</p> <p>9 Forehand (shoulder, forearm)</p> <p>10 Withers-Back-Loins</p> <p>11 Hindquarters (croup, pelvis, thigh)</p> <p>12 Joints</p> <p>13 Forelimb</p> <p>14 Hindlimb</p> <p>15 Impression</p> <p>16 Chic</p> <p>17 Trot</p> <p>18 Canter</p> <p>19 Walk</p> <p>20 -27 : unused</p> <p>28 -30 PCs for walk</p> <p>31 : height at withers (for accelerometric data)</p> <p> </p>
Data and Code: No support for the genetic hypothesis of the Black-white achievement gap using polygenic scores and tests for divergent selection
<p>Data and Code for article "No support for the genetic hypothesis of the Black-white achievement gap using polygenic scores and tests for divergent selection"</p>
Color scores, COI haplotypes and SNP data for Phelotrupes auratus individuals
<p>We studied the population genetic structure underlying the geographic variation in the structural color of the geotrupid dung beetle, <i>Phelotrupes auratus</i>,<i> </i>which exhibits metallic body colors of different reflectance wavelengths perceived as red, green, and indigo. These forms occur parapatrically in an area of Japan. The color variation was not related to variation in climatic factors. Using single-nucleotide polymorphisms (SNPs) from restriction-site associated DNA sequences, we discriminated five groups of populations (west/red, south/green, south/indigo, south/red, and east/red) by a combination of genetic clusters (west, south, and east) and three color forms. There were three transition zones for the color forms: two between the red and green forms were hybrid zones with steep genetic clines, which implies the existence of barriers to gene flow between regions with different colors. The remaining transition zone between the green and indigo forms lacked genetic differentiation, despite the evident color changes, which implies regionally specific selection on the different colors. In a genome-wide association study, we identified four SNPs that were associated with the red/green or indigo color and were not linked with one another, which implies that the coloration was controlled by multiple loci, each affecting the expression of a different color range. These loci may have controlled the transitions between different combinations of colors. Our study demonstrates that geographic color variation within a species can be maintained by nonuniform interactions among barriers to gene flow, locally specific selection on different colors, and the effects of different color loci.</p>
Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event TEST_EVENT Preliminary
Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event TEST_EVENT Preliminary. A reference to these calculations can be found here: nicepaper
Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event TEST_EVENT Preliminary
Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event TEST_EVENT Preliminary. A reference to these calculations can be found here: nicepaper
Comparing Non-invasive Diabetes Risk Scores for Detecting Patients in Clinical Practice
<p>The Cork and Kerry Diabetes and Heart Disease Study (Phase II – Mitchelstown Cohort) was a single centre study conducted between 2010 and 2011. A random sample was recruited from a large primary care centre in Mitchelstown, County Cork, Ireland. The Livinghealth Clinic serves a population of approximately 20,000 Caucasian-European subjects, with a mix of urban and rural residents. Stratified sampling was employed to recruit equal numbers of men and women from all registered attending patients in the 46–73-year age group. In total, 3,807 potential participants were selected from the practice list. Following the exclusion of duplicates, deaths and subjects incapable of consenting or attending appointment, 3,051 were invited to participate in the study and of these, 2,047 (49% male) completed the questionnaire and physical examination components of the baseline assessment (response rate: 67%). Individuals with pre-existing cardiovascular disease or T2DM were not excluded from the cohort.</p>
Figure 1. The mean scores at the end of the school year test
<p>The test at the end of school year showed that the mean score is 73.16 ± 4.09 (100 total) in the control group and 78.37 ± 5.01 in the experimental group respectively as illustrated in Figure 1.</p>
Results of the paper "Composition Identification in Ottoman-Turkish Makam Music Using Transposition-Invariant Partial Audio-Score Alignment"
<p>This repository contains the composition identification and tonic identification results along with the statistical significance values presented in the paper:</p> <p>Şentürk, S., & Serra X. (2016). <strong>Composition Identification in Ottoman-Turkish Makam Music Using Transposition-Invariant Partial Audio-Score Alignment.</strong> In Proceedings of 13th Sound and Music Computing Conference (SMC 2016), (pp. XX–XX)., Hamburg, Germany.</p> <p>Please cite the publication above in any work using this dataset.</p> <p>For the details of the results, please refer to the paper. For any further information please contact the authors.</p> <p>This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.</p>
Dataset 1: All homozygous mutant embryo phenotypes from lethal and sub-viable lines scored by DMDD to date (Nov 2016)
<p>The table lists the annotation data from homozygous mutant embryos that is the basis of the study. For every annotation the gene symbol, MGI_ID, allele symbol, DMDD_ID, MP term, ID and name is listed. In some cases the same MP term is listed more than once for a specific embryo (DMDD_ID), indicating the phenotypic abnormality was observed more than once in that embryo.</p>
Dataset 2: All wild type embryo phenotypes from lethal and sub-viable lines scored by DMDD to date (Nov 2016)
<p>The table lists the annotation data from wild type embryos that is the basis of the study. For every annotation the gene symbol, MGI_ID, allele symbol, DMDD_ID, MP term, ID and name is listed. In some cases the same MP term is listed more than once for a specific embryo (DMDD_ID), indicating the phenotypic abnormality was observed more than once in that embryo.</p>
Ludwig van Beethoven – Piano Sonatas (A corpus of annotated scores)
No description provided.
Frédéric Chopin – Mazurkas (A corpus of annotated scores)
https://dcmlab.github.io/chopin_mazurkas/
Antonín Dvořák – Silhouettes (A corpus of annotated scores)
https://dcmlab.github.io/dvorak_silhouettes/
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.