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2,129 results for “scores”
Lower face images labeled with corresponding motion sickness scores
<p>This is the dataset associated with the manuscript "Detecting in-car VR Motion Sickness from Lower Face Action Units". This dataset includes 1) all lower face images captured by the HP Omnicept VR headset during a motion sickness induction study; 2) Each image is labeled with a corresponding motion sickness score reported by a participant immediately after each motion sickness induction block finished</p> <p>For example,</p> <p>if the name of an image is 1-0_2, then it means that the participant whose ID=1 reported a motion sickness score=2 after the 1st motion sickness induction block finished;</p> <p>if the name of an image is 1-1_4, then it means that the participant whose ID=1 reported a motion sickness score=4 after the 2nd motion sickness induction block finished.</p>
Data and software from: Decomposition of skill scores for conditional verification – Impact of AMO phases on the predictability of decadal temperature forecasts
<p>Data and software from "Decomposition of skill scores for conditional verification – Impact of AMO phases on the predictability of decadal temperature forecasts"</p> <ul> <li>synthetic data and score computation routine</li> <li>data from MiKlip decadal prediction systems preop-dcpp-HR, preop-LR and observational HadCRUT4 data used for the conditional verification</li> <li>AMO calculation routine</li> <li>AMO data and phases defining the ocean state used in the conditional verification</li> </ul> <p>The computation routines from the conditional verification of decadal predcition systems is publicly available as the Freva plug-in "ProblEMS" at <a href="https://doi.org/10.5281/zenodo.10469658">https://doi.org/10.5281/zenodo.10469658</a></p> <p> </p>
Models and CAR scores reported in R. Kyle Bocinsky, Johnathan Rush, Keith W. Kintigh, and Timothy A. Kohler. Exploration and exploitation in the macrohistory of the prehispanic Pueblo Southwest. Science Advances.
<p>These are the models and CAR scores presented in reported in</p> <p>R. Kyle Bocinsky, Johnathan Rush, Keith W. Kintigh, and Timothy A. Kohler. Exploration and exploitation in the macrohistory of the prehispanic Pueblo Southwest. <em>Science Advances</em>, 2:e1501532.</p> <p>These files are R data sets. See the <a href="https://github.com/bocinsky/paleocar"><strong>paleocar</strong> package</a> for information on how to extract model uncertainty and other data from these data files.</p>
Data set Interoceptive Accuracy Scores from the Heartbeat Counting Task
<p>Interoception, the capacity to perceive internal bodily states, is thought to influence cognitive, affective and interpersonal functioning. It is frequently assessed using the heartbeat counting task, introduced recently in interoceptive research. In this task participants are requested to count their heartbeats without relying on external cues. Interoceptive Accuracy (i.e., IAcc) scores are then computed based on absolute comparisons between actual and reported heartbeats. We uploaded here a large data set that includes the reported and actual number of heartbeats of N = 572 participants who performed the heartbeat counting task for three time intervals of 25s, 35s, and 45s. </p>
Phenotype-Informed Noncoding Element Scoring
<p>Functional characterization of the noncoding genome is essential for the biological understanding of gene regulation and disease. Here, we introduce the computational framework PINES (Phenotype-Informed Noncoding Element Scoring) which predicts the functional impact of noncoding variants by integrating epigenetic annotations in a phenotype-dependent manner. A unique feature of PINES is that analyses may be customized towards genomic annotations from cell types of the highest relevance given the phenotype of interest. We illustrate that PINES identifies functional noncoding variation more accurately than methods that do not use phenotype-weighted knowledge, while at the same time being flexible and easy to use via a dedicated web portal.</p>
TAD-fusion score: discovery and ranking the contribution of deletions to genome structure
<p>Datasets and code of the manuscript:</p> <p>Huynh L. & Hormozdiari F., TAD-fusion score: discovery and ranking the contribution of deletions to genome structure.</p> <p> </p>
Correlating Movies score and Unemployed rate
<p>A study showing the relationship between the unemployed and the average rating of movies in the same years</p>
Illicit drugs in wastewater - SCORE initiative
<p>Members and partners of the Sewage analyses CORe group Europe - (SCORE) measured five illicit drug residues in wastewater 2011-2017 (every year one week). The data set covers in total 143 wastewater treatment plants in 120 cities from 37 countries, which were monitored at least once.</p>
Database of retrosynthesis, SA-score and Ei values for AI-Design of ET MALDI matrices
Open the record for dataset details and reuse information.
iNaturalist: iNat images from GBIF (20 per taxon) with scoring
<p></p>http://www.inaturalist.org/ is a place where you can record what you see in nature, meet other nature lovers, and learn about the natural world. Images and data published on EOL originate from iNaturalist Research Grade observations.<p></p>100-select-20: From a pool of 100 images/taxon select 20
A Comparative Study of RIPASA and Modified Alvarado Scoring System for the Diagnosis of Acute Appendicitis
<p>This dataset supports the findings of the study titled "Diagnosing Appendicitis with Precision: A Comparative Analysis of Modified Alvarado and RIPASA Scoring Systems in a Northern Divisional Hospital of Bangladesh" and has been de-identified to protect participant confidentiality. The data are accessible on Zenodo but require permission for reuse. Interested researchers are requested to contact the corresponding author to obtain permission before using the dataset in their own work. Please provide details of the intended research purpose when making a request.</p> <p><strong>Terms of Use</strong><br>Data access is granted for research purposes only and requires prior written approval from the corresponding author Dr. Nafisa Naz. By requesting access, researchers agree to comply with ethical and legal guidelines as applicable.</p>
Variable prediction accuracy of polygenic scores within an ancestry group
<p class="formanuscript">Fields as diverse as human genetics and sociology are increasingly using polygenic scores based on genome-wide association studies (GWAS) for phenotypic prediction. However, recent work has shown that polygenic scores have limited portability across groups of different genetic ancestries, restricting the contexts in which they can be used reliably and potentially creating serious inequities in future clinical applications. Using the UK Biobank data, we demonstrate that even within a single ancestry group (i.e., when there are negligible differences in linkage disequilibrium or in causal alleles frequencies), the prediction accuracy of polygenic scores can depend on characteristics such as the socio-economic status, age or sex of the individuals in which the GWAS and the prediction were conducted, as well as on the GWAS design. Our findings highlight both the complexities of interpreting polygenic scores and underappreciated obstacles to their broad use.</p>
Delphi method scoring for consensus statement for occupational heat safety
<p>The purpose of this consensus document was to develop feasible, evidence-based occupational heat safety recommendations to protect U.S workers that experience heat stress. Heat safety recommendations were created to protect worker health and to avoid productivity losses associated with occupational heat stress. Recommendations were tailored to be utilized by safety managers, industrial hygienists, and the employers who bear responsibility for implementing heat safety plans. An interdisciplinary roundtable comprised of 51 experts was assembled to create a narrative review summarizing current data and gaps in knowledge within eight heat safety topics: (1) heat hygiene, (2) hydration, (3) heat acclimatization, (4) environmental monitoring, (5) physiological monitoring, (6) body cooling, (7) textiles and personal protective gear, and (8) emergency action plan implementation. The consensus-based recommendations for each topic were created using the Delphi method and evaluated based on scientific evidence, feasibility and clarity. The current document presents 40 occupational heat safety recommendations across all eight topics. Establishing these recommendations will help organizations and employers create effective heat safety plans for their workplace, address factors that limit the implementation of heat safety best-practices and protect worker health and productivity.</p>
Functional near-infrared spectroscopy visually evoked measurements and Autism Questionnaire score in adults and children
<p><strong>Functional near-infrared spectroscopy (fNIRS) visually-evoked data collected from healthy adults and children. We recruited a total of 40 adult participants (20 women, age: 31.05 ± 3.94 (SD) years) and 19 children (5 girls, age: 7.20 ± 3.01 (SD) years). Adult participants filled in the Autistic-traits Quotient (AQ) questionnaire, a 50-items self-administered report validated for the Italian version. The items consist of descriptive statements assessing personal preferences and typical behavior. Since child self-report might be affected by reading and comprehension difficulties, the children's version of Autism Spectrum Quotient (Italian version of AQ-child) was completed by parents. To measure changes in total Hb (THb) concentration and relative oxygenation levels (OHb and DHb) in the occipital cortex during the task, we used a continuous-wave NIRS system with 8 red light-sources operating at 760 nm and 850 nm, and 7 detectors, forming an array of 22 multi-distant channels. </strong></p> <p> </p> <p><strong>The dataset includes 2 '.zip' files containing artifact-free visually-evoked transients HDF data, exported from Homer 3 (https://github.com/BUNPC/Homer3) in '.txt' format. Subfolders correspond to different stimulation conditions, for details refer to this paper [preprint coming soon].</strong></p> <p><strong>Each txt file is named with the corresponding subject code and contains two events [tagged as 1 (baseline) and 2 (stimulus)]. </strong></p> <p><strong>The file 'annotations.csv' contains the following fields:</strong></p> <p><strong>Code [Subjects id name, that corresponds to the filename in the recording folders]</strong></p> <p><strong>Sex [M or F]</strong></p> <p><strong>Valid [1 or 0, 0 means excluded subject]</strong></p> <p><strong>Age [int]</strong></p> <p><strong>CH_exclude [list of excluded channels]</strong></p> <p><strong>CH_Red [ list of channels that did not passed the calibration step]</strong></p> <p><strong>Category [adult or child] </strong></p> <p><strong>Cartoon_fixed [cartoon name]</strong></p> <p><strong>Cartoon_chosen [cartoon name]</strong></p> <p><strong>AQ [global AQ score] </strong></p> <p><strong>AQ_S [ AQ subscale social ] </strong></p> <p><strong>AQ_C [ AQ subscale communication ] </strong></p> <p><strong>AQ_A [ AQ subscale attention] </strong></p> <p><strong>AQ_D [ AQ subscale detail] </strong></p> <p><strong>AQ_I [ AQ subscale imagination] </strong><br> </p> <p> </p> <p> </p> <p> </p>
List of known SNP positions (based on SNP chip data) for base quality score recalibration of alignments for whole-genome resequencing and whole-genome bisulfite sequencing data from great tits (Parus major)
<p>The profiling of epigenetic marks like DNA methylation has become a central aspect of studies in evolution and ecology. Bisulfite sequencing is commonly used for assessing genome-wide DNA methylation at single nucleotide resolution but these data can also provide information on genetic variants like single nucleotide polymorphisms (SNPs). However, bisulfite conversion causes unmethylated cytosines to appear as thymines, complicating the alignment and subsequent SNP calling. Several tools have been developed to overcome this challenge, but there is no independent evaluation of such tools for non-model species, which often lack genomic references. Here, we used whole-genome bisulfite sequencing (WGBS) data from four female great tits (<i>Parus major</i>) to evaluate the performance of seven tools for SNP calling from bisulfite sequencing data. We used SNPs from whole-genome resequencing data of the same samples as baseline SNPs to assess common performance metrics like sensitivity, precision, and the number of true positive, false positive, and false negative SNPs for the full range of variant and genotype quality values. We found clear differences between the tools in either optimizing precision (Bis-SNP), sensitivity (biscuit), or a compromise between both (all other tools). Overall, the choice of SNP caller strongly depends on which performance parameter should be maximized and whether ascertainment bias should be minimized to optimize downstream analysis, highlighting the need for studies that assess such differences.</p>
Cross-sectional and prospective data on Framingham risk score, allostatic load, and ankle brachial index among Puerto Rican adults from the Boston Puerto Rican Health Study
<p><strong>Background</strong><br> Puerto Ricans have higher odds of peripheral artery disease (PAD) compared with Mexican Americans. Limited studies have examined relationships between clinical risk assessment scores with PAD assessments.</p> <p><strong>Methods</strong><br> Using 2004-2015 data from the Boston Puerto Rican Health Study (BPRHS) (n = 370-583), cross-sectional, 5-y change and patterns of change in Framingham Risk Score (FRS) and allostatic load (AL) with ankle brachial index (ABI) at 5-y follow-up was assessed among Puerto Rican adults (45-75 y). Analysis were conducted in 2020. FRS and AL were calculated at baseline, 2-y and 5-y follow-up. Multivariable linear regression models examined cross-sectional and 5-y changes in FRS and AL with ABI at 5-y. Latent growth mixture modeling identified trajectories of FRS and AL over 5-y, and multivariable linear regression models were used to test associations between trajectory groups at 5-y.</p> <p><strong>Results</strong><br> Greater FRS at 5-y and increases in FRS from baseline were associated with lower ABI at 5-y (β = -0.149, p = 0.010; β = -0.171, p = 0.038, respectively). AL was not associated with ABI in cross-sectional or change analyses. Participants in low-ascending (vs. no change) FRS trajectory, and participants in moderate-ascending (vs. low-ascending) AL trajectory, had lower 5-y ABI (β = -0.025, p = 0.044; β = -0.016, p = 0.023, respectively).</p> <p><strong>Conclusions</strong><br> FRS was a better overall predictor of ABI, compared with AL. FRS may be a clinically feasible measure of PAD risk in Puerto Ricans, an understudied population. Additional research examining relationships between FRS and AL and development of PAD is warranted.</p>
SCOPe dataset with pairwise TM-score
<p>This dataset is the full set of all 15176 SCOPe domains from the ASTRAL subset (i.e., non-redundant set with <40% sequence identity) of SCOPe database version 2.08.</p> <p><br> Files:<br> list - list of domains ranked in ascending order of sequence length<br> astral.fasta - FASTA sequence converted from PDB file. The sequence header<br> includes the SCOPe domain ID and the SCOPe classification.<br> For example, >d2oj5b1 b.83.1.0 means<br> PDB ID 2oj5 chain B domain 1<br> Class: b<br> Fold: b.83<br> Superfamily: b.83.1<br> Family: b.83.1.0<br> CA.zip - CA coordinate of PDB files. Suitable for TM-align<br> pdb.zip - full atomic structure of PDB files.<br> TMfast.txt.gz - TM-score calculated by TMalign -fast<br> domain1 domain2 TMscore1 TMscore2 <br> </p>
SCore - Prototyp 3 - Erprobung des Forschungsszenarios "Urbane Grünflächen" - UGF-3_Fall-10
<p>Dieses Datenset enthält Materialien (Videos, Protokolle und Fallbeschreibungen) aus der dritten prototypischen Durchführung des Forschungsszenarios "Urbane Grünflächen" im Teilprojekt <a href="http://www.360total.de/score/">SCoRe-VideoLearning</a> des <a href="https://scoreforschung.com/ueber/">Score-Projektes</a>. Aufgrund der hohen Datenmengen, bezieht sich dieses Set lediglich auf einen Fall, in welche sich Studierende videografisch forschend mit urbanen Grünflächen auseinandersetzten und dabei die Merkmale der Grünfläche hinsichtlich urbanen Nutzungsmöglichkeiten und der biologischen Vielfalt untersuchten. Dazu wurden die Grünflächen zunächst ausgewählt und in Bezug auf verschiedene vorgegebene Ordnungskriterien beschrieben und bewertet (Fallbeschreibung). Zur Produktion der Videoforschungsdaten - als Basismaterial der empirischen Untersuchung - waren die Studierenden angehalten ein Produktionsprotokoll während aller drei Produktionsphasen der Videografie (Vorproduktion, Produktion im Feld sowie Nachproduktion) auszufüllen und somit für sich sowie andere analysierende Studierende die Entscheidungsprozesse zur Gestaltung der Videoforschungsdaten zu explizieren und zu dokumentieren.. Diese Protokolle bilden entsprechend die Grundlagen für Gütekriterien qualitativer Forschungsdaten: Transparenz und intersubjektive Nachvollziehbarkeit (vgl. <a href="https://scoreforschung.files.wordpress.com/2022/03/score-vl-wirkungsbericht-3-zur-summativen-evaluation-des-prototypen-3_mhh-2.pdf">Wirkungsbericht 3</a>).</p>
SCore - Prototyp 3 - Erprobung des Forschungsszenarios "Urbane Grünflächen" - UGF-3_'Fall_13
<p>Dieses Datenset enthält Materialien (Videos, Protokolle und Fallbeschreibungen) aus der dritten prototypischen Durchführung des Forschungsszenarios "Urbane Grünflächen" im Teilprojekt <a href="http://www.360total.de/score/">SCoRe-VideoLearning</a> des <a href="https://scoreforschung.com/ueber/">Score-Projektes</a>. Aufgrund der hohen Datenmengen, bezieht sich dieses Set lediglich auf einen Fall, in welche sich Studierende videografisch forschend mit urbanen Grünflächen auseinandersetzten und dabei die Merkmale der Grünfläche hinsichtlich urbanen Nutzungsmöglichkeiten und der biologischen Vielfalt untersuchten. Dazu wurden die Grünflächen zunächst ausgewählt und in Bezug auf verschiedene vorgegebene Ordnungskriterien beschrieben und bewertet (Fallbeschreibung). Zur Produktion der Videoforschungsdaten - als Basismaterial der empirischen Untersuchung - waren die Studierenden angehalten ein Produktionsprotokoll während aller drei Produktionsphasen der Videografie (Vorproduktion, Produktion im Feld sowie Nachproduktion) auszufüllen und somit für sich sowie andere analysierende Studierende die Entscheidungsprozesse zur Gestaltung der Videoforschungsdaten zu explizieren und zu dokumentieren.. Diese Protokolle bilden entsprechend die Grundlagen für Gütekriterien qualitativer Forschungsdaten: Transparenz und intersubjektive Nachvollziehbarkeit (vgl. <a href="https://scoreforschung.files.wordpress.com/2022/03/score-vl-wirkungsbericht-3-zur-summativen-evaluation-des-prototypen-3_mhh-2.pdf">Wirkungsbericht 3</a>).</p>
Data for: Advances and critical assessment of machine learning techniques for prediction of docking scores
<p class="MsoNormal"><span>Semi-flexible docking was performed using AutoDock Vina 1.2.2 software on the SARS-CoV-2 main protease M<sup>pro</sup> (PDB ID: 6WQF). <br></span></p> <p class="MsoNormal"><span>Two data sets are provided in the xyz format containing the AutoDock Vina docking scores. These files were used as input and/or reference in the machine learning models using TensorFlow, XGBoost, and SchNetPack to study their docking scores prediction capability. The first data set originally contained 60,411 in-vivo labeled compounds selected for the training of ML models. The second data set,denoted as in-vitro-only, originally contained 175,696 compounds active or assumed to be active at 10 μM or less in a direct binding assay. These sets were downloaded on the 10th of December 2021 from the ZINC15 database. Four compounds in the in-vivo set and 12 in the in-vitro-only set were left out of consideration due to presence of Si atoms. Compounds with no charges assigned in mol2 files were excluded as well (523 compounds in the in-vivo and 1,666 in the in-vitro-only set). Gasteiger charges were reassigned to the remaining compounds using OpenBabel. In addition, four in-vitro-only compounds with docking scores greater than 1 kcal/mol have been rejected.</span></p> <p class="MsoNormal"><span>The provided in-vivo and the in-vitro-only sets contain 59,884 (in-vivo.xyz) and 174,014 (in-vitro-only.xyz) compounds, respectively. Compounds in both sets contain the following elements: H, C, N, O, F, P, S, Cl, Br, and I. The in-vivo compound set was used as the primary data set for the training of the ML models in the referencing study. <br></span></p> <p class="MsoNormal"><span>The file in-vivo-splits-data.csv contains the exact composition of all (random) 80-5-15 train-validation-test splits used in the study, labeled I, II, III, IV, and V. Eight additional random subsets in each of the in-vivo 80-5-15 splits were created to monitor the training process convergence. These subsets were constructed in such a manner, that each subset contains all compounds from the previous subset (starting with the 10-5-15 subset) and was enlarged by one eighth of the entire (80-5-15) train set of a given split. These subsets are further referred to as in_vivo_10_(I, II, ..., V), in_vivo_20_(I, II, ..., V),..., in_vivo_80_(I, II, ... V). </span></p>
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.