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.
17
datasets available to search
ShareScore release 0.7.1
Dataset results
17 results for “Computational biology”
Dataset supporting the paper: Symbolic Versus Numerical Computation and Visualization of Parameter Regions for Multistationarity of Biological Networks
<p>Dataset supporting the paper:</p> <p>Matthew England, Hassan Errami, Dima Grigoriev, Ovidiu Radulescu, Thomas Sturm, and Andreas Weber. Symbolic Versus Numerical Computation and Visualization of Parameter Regions for Multistationarity of Biological Networks. In Proceedings of CASC ’17, Beijing, China, September 18-22 2017, 15 pages. Springer, 2017.</p> <p>The files whose name starts with "SamplePoints" are text files containing the data that produced the plots in the paper.</p> <p>The files whose name starts with "Sys" show the Maple computations used to produce the data. The mw files are to be run with the Maple Computer Algebra System (https://www.maplesoft.com/products/maple/). Pdf printouts of these have also been included for those who do not have access to Maple.</p> <p> </p>
Raw data acquired necessary to produce the plots introduced in the scientific paper: "Upper-limb kinematic reconstruction during stroke robot-aided therapy" (Medical & Biological Engineering & Computing)
<p>These files contain the raw data acquired necessary to produce the plots introduced the Figure 6 of the scientific paper: “Upper-limb kinematic reconstruction during stroke robot-aided therapy” (Medical & Biological Engineering & Computing).</p> <p>Fig. 6 shows the data recorded from two patients performing five forward/backward movements at InMotion2 robot before and after rehabilitation treatment. Mean values of the five execution have been reported in Fig. 6.</p>
Serum albumin domain structures in human blood serum by mass spectrometry and computational biology
<p>Contact prediction data generated by EPC-map used in the paper "Serum Albumin Domain Structures in Human Blood Serum by Mass Spectrometry and Computational Biology" by Rappsilber et al.</p>
Supplementary data and code to "Known allosteric proteins have central roles in genetic disease" by G. Abrusan, D. Ascher and M. Inouye, PLOS Computational Biology 18(2):e1009806.
<p>Scripts and data to reproduce the figures and supplementary figures of "G. Abrusan, D. Ascher and M. Inouye (2022) Known allosteric proteins have central roles in genetic disease." PLOS Computational Biology 18(2):e1009806. https://doi.org/10.1371/journal.pcbi.1009806.</p>
Biology and Computational Biology Papers in Pubmed, 1997-2014
<p>Downloaded from Pubmed on 12 February, 2016</p> <p>Bio:<br /> ("Biology"[Mesh]) NOT (Review[ptyp] OR Comment[ptyp] OR Editorial[ptyp] OR Letter[ptyp] OR Case Reports[ptyp] OR News[ptyp] OR "Biography" [Publication Type]) AND ("1997/01/01"[PDAT] : "2014/12/31"[PDAT]) AND english[language]</p> <p>Comp:<br /> ("Computational Biology"[Majr]) NOT (Review[ptyp] OR Comment[ptyp] OR Editorial[ptyp] OR Letter[ptyp] OR Case Reports[ptyp] OR News[ptyp] OR "Biography" [Publication Type]) AND ("1997/01/01"[PDAT] : "2014/12/31"[PDAT]) AND english[language]</p>
Dataset of "Tracking Urban Human Activity from Mobile Phone Calling Patterns" PLOS Computational Biology paper
<p>This are the dataset file for "Tracking Urban Human Activity from Mobile Phone Calling Patterns", to be published in PLOS Computational Biology.</p> <p>The files contain probability distributions of finding a first, last, or any call as a function of time, derived from anonymized call detail records for a 12 months period in the year 2007 from a mobile phone service provider in a European country. The first data file contains the data obtained fom 30 different cities. the second for the six most populated cities, splitting the data into different age and gender groups.</p> <p>Details in README files.</p>
Computational biology and how this field supports new drug discovery
<p>PechaKucha 20x20 is a simple presentation format where you show 20 images, each for 20 seconds. The images advance automatically and this presentation will explore the use of computational modeling supports the early stage of drug discovery. https://www.pechakucha.org/presentations/drug-discovery-and-computational-biology</p>
Raw data: Jiang et al. Plos Computational Biology
<p>Raw data files associated with the publication</p> <p>Fine-grained, Nonlinear Registration of Live Cell Movies Reveals Spatiotemporal Organization of Diffuse Molecular Processes</p> <p>Xuexia Jiang, Tadamoto Isogai, Joseph Chi, Gaudenz Danuser*</p> <p>Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX 75390, USA</p> <p>*Correspondence: Gaudenz.Danuser@UTSouthwestern.edu</p> <p>The data is organized figure by figure. Time lapse image sequences are contained in folders of .tif series.</p>
Data for "Heuristic algorithms in Evolutionary Computations and modular organization of biological macromolecules: applications to in vitro evolution"
<p>This publication contains data for the construction of the figures and tables for the paper "Heuristic algorithms in Evolutionary Computations and modular organization of biological macromolecules: applications to in vitro evolution" accepted to publication in PLOS ONE.</p>
Dataset for: Biological neurons act as generalization filters in reservoir computing
<p>This dataset contains the fluorescence traces from calcium imaging.<br> The data are provided in csv format, wherein the value represents relative fluorescent unit (⊿F/F) of neuron i (arranged in columns) at t-th frame (arranged in rows).<br> The time resolution of the recording is 50 ms/frame.</p> <p>A journal paper is to be published in PNAS with full details of materials and methods.<br> https://www.pnas.org/doi/abs/10.1073/pnas.2217008120</p> <p><br> File naming convention <br> ・"Spon.csv" is a data obtained in a spontaneous activity recording.<br> ・The other file s are named according to the delivered stimulus.<br> ・For the static pattern recognition task, "StimA", "StimB", and "StimC" correspond to the stimulation of the top, middle, and bottom regions in Figure 1B.<br> ・"_half" and "_quarter" refers to stimulations with reduced areas, described in Figure S2A.<br> ・For the speech recognition task, "f1" and "m1" represent the gender of the speakers, and "zero", "one", ... are spoken digits.<br> ・"_reverse" refers to a stimulation to a temporally-reversed input. </p>
Integrative computational biology and molecular determinants of rectal cancer resistance to chemoradiotherapies
GEO Series GSE45404. Homo sapiens. 80 samples. Type: Expression profiling by array.
Impact of the COVID-19 pandemic on computational biology ECRs: survey data 2020 and 2021
<p>The COVID-19 pandemic has caused unprecedented disruption to every aspect of human life, significantly impacting the physical, mental, and financial well-being of individuals worldwide. This data was collected via online surveys in 2020 and 2021 to explore the impact of the COVID-19 pandemic on computational biologists and bioinformatics early career researchers (ECRs).</p>
Exploratory Research on Constructing a Computational Biological Model Based on NGS for MRD After Breast Cancer Surgery
ClinicalTrials.gov study NCT06595966. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Aerobicity stimulon in Escherichia coli revealed using multi-scale computational systems biology of adapted respiratory variants
GEO Series GSE291717. Escherichia coli str. K-12 substr. MG1655. 40 samples. Type: Expression profiling by high throughput sequencing.
Circulating miR 218-5p, alone or in combination, predicts corticosteroid failure in ulcerative colitis. Study through computational strategies based on Systems Biology.
GEO Series GSE122618. Homo sapiens. 46 samples. Type: Non-coding RNA profiling by high throughput sequencing.
An integrative computational systems biology approach identifies differentially regulated dynamic transcriptome signatures which drive the initiation of human T helper cell differentiation
GEO Series GSE32959. Homo sapiens. 37 samples. Type: Expression profiling by array.
Evning Exposure to Computer Screen Disrupts Sleep, Attention and Biological Rhythms
ClinicalTrials.gov study NCT02957383. IPD Sharing: NO. Countries: 0. Publications: 0.
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.