Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
2,129
datasets available to search
ShareScore release 0.9.0
Dataset results
2,129 results for “scores”
Data from: Influence of parameter settings in automated scoring of AFLPs on population genetic analysis
The use of procedures for the automated scoring of AFLP fragments has recently increased. Corresponding software does not only automatically score the presence or absence of AFLP fragments, but also allows an evaluation of how different settings of scoring parameters influence subsequent population genetic analyses. In this study, we used the automated scoring package RAWGENO to evaluate how five scoring parameters influence the number of polymorphic bins and estimates of pairwise genetic differentiation between populations (Fst). Steps were implemented in R to automatically run the scoring process in RAWGENO for a set of different parameter combinations. While we found the scoring parameters minimum bin width and minimum number of samples per bin to have only weak influence on pairwise Fst values, maximum bin width and bin reproducibility had much stronger effects. The minimum average bin fluorescence scoring parameter affected Fst values in an only moderate way. At a range of scoring parameters around the default settings of RAWGENO, the number of polymorphic bins as well as pairwise Fst values stayed rather constant. This study thus shows the particularities of AFLP scoring, be it either manual or automatical, can have profound effects on subsequent population genetic analysis.
final scores of mind map strategy
<p>the data shows the total score of each student, the mean scores of vocabulary and morphemes, reading, listening, speaking, and writing, and the mean hours of self medical English learning per week.</p>
Figure 2 The mean scores of vocabulary and morphemes, reading, listening, speaking, and writing.
<p><strong>Figure 2 for 'Mind Mapping improved the Effect of Medical English Learning for non-Native English Speakers in non Target Language Environment：A Randomized Controlled Trial'</strong></p>
FIGURE 2. Discriminant scores with 99 in Revision of the systematic status of Helminthoglypta walkeriana morroensis (Hemphill, 1911) (Gastropoda: Pulmonata)
FIGURE 2. Discriminant scores with 99% confidence ellipses around group centroids on the first and second canonical variates calculated to maximally separate the nine collection locations listed in Table 1. H. walkeriana groups are: MBSS (♢), MSSB (), Elfin (), LO1 (), and LO2 (). H. morroensis groups are: Bishop (×), CSLO (), SBCR (), and NPNA (). See Table 1 for site descriptions and abbreviations.
FIGURE 10. Scores for Deltamys kempi specimens from haplogroup A in A new species of Deltamys Thomas, 1917 (Rodentia: Cricetidae) endemic to the southern Brazilian Araucaria Forest and notes on the expanded phylogeographic scenario of D. kempi
FIGURE 10. Scores for Deltamys kempi specimens from haplogroup A (crosses) and B (circles) on the principal components 1 and 2 (above) and 1 and 3 (below) extracted from the variance-covariance matrix of 21 cranial measurements.
The Annotated Beethoven Corpus (ABC) (A corpus of annotated scores)
Annotated Beethoven Corpus (ABC): A dataset of harmonic analyses with standardized labels
Allele scores and frequencies of 66 microsatellite locus loci in Solenopsis invicta
<p>Allele scores and frequencies of 66 microsatellite loci in <em>Solenopsis invicta </em>samples were analyzed from 65 populations and 1,074 individuals.</p> <p>65 populations were collected from South Korea, China, Taiwan, and the United States.</p>
The Effect of Classroom Instruction Using Slide Projector on Students' Exam Scores
Open the record for dataset details and reuse information.
A database of skill scores on solar forecasting
<p><span>From an initial pool of 1,858 papers in Google Scholar (GS) and 418 papers in Web of Science (WoS), we screened the full texts of 500 papers between 2006 and 2025 and extracted data from 250 studies on both solar irradiance and PV output forecasting. The resulting database contains 5,277 observations across 11 variables, encompassing inputs, methodological, climatic, and contextual factors that differentiate forecast performance.</span></p> <p><span>The "r_subset_clean.csv" provides the database. The "LR_exported.Rmd" and the "mars_plots_all.Rmd" files provide the code to conduct the MARS and linear regressions on the data.</span></p>
Rasch analysis of the Forgotten Joint Score in patients with total hip arthroplasty
<p>Raw data associated with the scientific publication "Rasch analysis of the Forgotten Joint Score in patients with total hip arthroplasty"</p>
Appendix_verb_scores_CIEP
<p>A dataset that plots verb scores (1 to 3) in main and adverbial clauses in the sample languages covered by the CIEP.</p>
ToolBoxSF: Robustly interrogating machine learning-based scoring functions: what are they learning?
<p>This Zenodo repository provides comprehensive resources for the pre-print research paper titled "Robustly interrogating machine learning-based scoring functions: what are they learning?" Our collection includes Singularity containers containing pre-trained models, benchmark datasets, and training/test CSV files, offering valuable insights into the inner workings of machine learning-based scoring functions.</p><p>Key Components:</p><p>Singularity Containers:</p><ul><li>Machine Learning Models: Explore state-of-the-art scoring models used in the study, enabling reproducibility and in-depth analysis.</li><li>Environment Setup: Simplify model deployment and experimentation by utilizing our pre-configured environments.</li></ul><p>Benchmark Datasets:</p><ul><li>Curated benchmark datasets used in the pre-print, facilitating validation and evaluation of scoring functions.</li></ul><p>Training and Test CSV Files:</p><ul><li>Training and test data in CSV format, along with associated metadata.</li><li>Facilitate model testing and comparison using the provided data.</li></ul><p>This Zenodo collection is a valuable resource for researchers, data scientists, and machine learning enthusiasts seeking to replicate the study's findings, explore model behaviors, and conduct further investigations into machine learning-based scoring functions. Detailed documentation and usage instructions are included to support your research efforts at <a href="https://github.com/guydurant/toolboxsf">https://github.com/guydurant/toolboxs</a>f.</p><p>Citation Information: Please cite this Zenodo repository when using our resources in your work, and consider acknowledging the original pre-print when publishing research based on these materials.</p>
Supplementary Figure 1 QQ plot of rate of decline from baseline in ODI score (ODI1: 7D, ODI2: 14D, ODI3: 21D, ODI4: 30D).
<p><span>QQ plot of rate of decline from baseline in ODI score (ODI1: 7D, ODI2: 14D, ODI3: 21D, ODI4: 30D).</span></p>
Dataset for research: "MTA and Koedam Score Contributes to Cognitive Impairment in Probable Alzheimer, Vascular and Mixed Dementia: A Memory Clinic Study in Indonesia"
<p>This is a dataset for research : "MTA and Koedam Score Contributes to Cognitive Impairment in Probable Alzheimer, Vascular and Mixed Dementia: A Memory Clinic Study in Indonesia"</p> <h1><strong><span>Abstract</span></strong></h1> <p><strong><span>Background</span></strong><span>. Medial Temporal Atrophy (MTA) and Parietal Atrophy (Koedam score) have been used in clinical practice to help the diagnosis of Alzheimer’s disease. However, the role of this brain imaging marker in early detection of other type of dementia remains elusive. The study aims to investigate the association between MTA and Koedam scores with the cognitive function in dementia patients (Alzheimer, vascular and mixed dementia).</span></p> <p><strong><span>Method</span></strong><span> <span>This was a</span> cross-sectional study using<span> data from a</span> Memory Clinic in Dr. Sardjito General Hospital Yogyakarta, Indonesia. The data was collected from January 2020 until December 2022. We collected the data regarding demographic and clinical characteristics, including head MRI data and Montreal Cognitive Assessment (MoCA) score. The cut-off points of MTA score and Koedam score were determined by using Receiver Operating Curve (ROC) and Youden Index. Multivariate analysis was performed to investigate variables which were associated with the cognitive function. </span></p> <p><strong><span>Result </span></strong><span>From 61 dementia patients, 22.95% was probable Alzheimer’s disease, 59.01% was vascular dementia, and 18.03% was mixed dementia. Correlation test showed that MTA and Koedam score were negatively associated with Montreal Cognitive Assessment-Indonesian Version (MoCA-INA) score. A bivariate analysis supports the findings that patients with combination of MTA score ≥3 and Koedam score ≥2 was more likely to have poor cognitive function (OR= 11.33; p<0.05). Multivariate analysis showed higher MTA (≥3) and Koedam (≥2) scores were associated with poor cognitive function in dementia patients (OR= 13.54, 95% CI= 1.77-103.43, <em>p</em>=0.01 and OR= 5.52, 95% CI= 1.08-28.19, <em>p</em>=0.04)</span></p> <p><strong><span>Conclusion </span></strong><span>Higher MTA and Koedam score contribute to worse cognitive function in any type of dementia patients. </span></p> <p><strong><span>Keywords.</span></strong><span> Imaging Marker, Medial Temporal Atrophy (MTA), Koedam Score, Cognitive Function, Dementia</span></p>
DSMBind: SE(3) denoising score matching for unsupervised binding energy prediction and nanobody design
<p>This record provides the training and evaluation dataset for DSMBind</p> <p>Paper link: https://www.biorxiv.org/content/10.1101/2023.12.10.570461v1.abstract</p> <p>Github repo: https://github.com/wengong-jin/DSMBind</p>
TR frequency distributions and TR disparity scores
<p><span>TR frequency distributions and TR disparity scores</span></p>
Deliverable 3 - offline comparison - Zeta-scores
<p>dataset to determine the zeta score of MEtrohyve 2 intercomparison</p>
Data from: Clinical scores before and after multi-nodal DBS
<p><em>Background</em></p> <p>Mixed and complex movement disorders represent significant challenges for surgical treatment. These disease states are likely the result of combined or complex network pathologies affecting multiple pathways<sup>1-4</sup>. Until recently, attempts to treat complex movement disorders with deep brain stimulation (DBS) have primarily focused on stimulating a single deep target to address patients' most severe symptoms<sup>5-14</sup>. However, a multi-nodal targeting approach for DBS by simultaneously stimulating more than one pair of homologous nuclei could be a more effective treatment strategy. Here, we present the technique and initial case series of utilizing multi-nodal stimulation for mixed and complex movement disorders.</p> <p><em>Methods</em></p> <p>An initial cohort of fifteen mixed and complex movement disorder patients presenting to Stanford University underwent a multi-nodal stimulation approach. In these patients, the multiple (i.e. > 2) simultaneous deep targets were implanted through only 2 burr holes and connected to a single 32-channel pulse generator.</p> <p><em>Results</em></p> <p>There were no intra- or post-operative complications. With the addition of multi-nodal stimulation, complex PD patients demonstrated a significant reduction in Unified Parkinson's Disease Rating Scale (p = 0.0039) and complex tremor patients demonstrated a significant reduction in Clinical Rating Scale for Tremor (p = 0.0312).</p> <p><em>Conclusion</em></p> <p>We present the largest initial case series demonstrating the safety, feasibility, and added efficacy of single system multi-nodal DBS for treating mixed and complex movement disorders. This approach is safe, provides additional benefit, and warrants further investigation for treating mixed and complex movement disorders.</p>
Figure 1 : Présentation des individus partiels d'AFM pour la comparaison des enquêtes (extraction des scores factoriels des 5 premiers axes)
<p>Figure 1 : Présentation des individus partiels d’AFM pour la comparaison des enquêtes (extraction des scores factoriels des 5 premiers axes).</p> <p>Il s'agit de l'image en haute définition de la figure 1 publiée p. 357 de l'article de Jardin A., Noble J., 2024, Enquêter sur l’insécurité et la victimation : une comparaison systématique des grands instruments français, <em>Déviance et Société</em>, 48, 3, 331‑364 | doi : 10.3917/ds.483.0331</p> <p> </p>
raw data - Association between oxidative balance score and sarcopenia in the elderly: A cross-sectional study from NHANES
Open the record for dataset details and reuse information.
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.