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.
1,007
datasets available to search
ShareScore release 0.9.0
Dataset results
1,007 results for “single use”
Revealing the Reovirus T1L-NgR1 binding interface using single-molecule approaches
<p>Initial topology, parameter and coordinate files of the molecular dynamics (MD) simulation of <em>human and mouse NgR1 in complex with two σ3 subunits</em>. We used AMBER for the equilibration phase and GROMACS (2022.3) for the production as molecular engines (input_gromacs.mdp). For each system we run three independent replicas of 2.5 µs. Water molecules and ion atoms were removed from the original trajectories and topology prior to upload. All replicas were previously aligned to chain A (NgR1):</p> <ul> <li>system 1: human NgR1 in complex with two σ3 subunits</li> <li>system 2: murine NgR1 in complex with two σ3 subunits</li> </ul>
Source data for the publication "Single-shot latched readout of a quantum dot qubit using barrier gate pulsing"
<p>This repository contains data and source code for the publication "Single-shot latched readout of a quantum dot qubit using barrier gate pulsing."</p>
Quantification of preferential flow in single fracture using electrical monitoring
Open the record for dataset details and reuse information.
Observation of robust energy transfer in the photosynthetic protein allophycocyanin using single-molecule pump-probe spectroscopy - single-molecule photon stream
<p>Photon stream used in the article "<em>Observation of robust energy transfer in the photosynthetic protein allophycocyanin using single-molecule pump-probe spectroscopy" </em> to analyze single-molecule fluorescence emission. Detected emission for single-molecule pump-probe experiments with an associated instrument response function (IRF) and background fluoresence (BG). Each detected photon is described by its time within the collected photon stream and its time relative to the excitation laser. Data is organized by sample and by date. Also included is an .xlsx document with fitted timescales for all included molecules and Matalb structure titled 'FinalDataAndStatistics.mat', which includes the final data, and statistics for the data used within the paper.</p>
Data for: Single-blind determination of methane detection limits and quantification accuracy using aircraft-based LiDAR
<p>Methane detection limits, emission rate quantification accuracy, and potential cross-species interference are assessed for Bridger Photonics' Gas Mapping LiDAR (GML) system utilizing data collected during laboratory testing and single-blind controlled release testing. Laboratory testing identified no significant interference in the path-integrated methane measurement from the gas species tested (ethylene, ethane, propane, n-butane, i-butane, and carbon dioxide). The controlled release study, comprised of 650 individual measurement passes, represents the largest dataset collected to date to characterize GML with respect to point-source emissions. Binomial regression is utilized to create detection curves illustrating the likelihood of detecting an emission of a given size under different wind conditions and for different flight altitudes. Wind-normalized methane detection limits (90% detection rate) of 0.25 (kg/h)/(m/s) and 0.41 (kg/h)/(m/s) are observed at a flight altitude of 500 feet and 675 feet above ground level, respectively. Quantification accuracy is also assessed for emissions ranging from 0.15 to 1400 kg/h. When emission rate estimates were generated using wind from High-Resolution Rapid Refresh (HRRR) model (the primary wind source that Bridger uses for their commercial operations), linear regression indicates bias of 8.1% (R2 = 0.89). For 95% of controlled releases above Bridger's stated production-sector detection sensitivity (3 kg/h with 90% probability of detection), accuracy of individual emission rate estimates produced using HRRR wind ranged from -64.1% to 87.0%. Across all controlled releases 38.1% of estimates had error within +/- 20%, and 87.3% of measurements were within a factor of two (-50% to +100% error). At low wind speed (less than 2 m/s) and low emission rates (less than 3 kg/h) emission estimates are biased high; however, when removed do not impact the regression significantly. The aggregate quantification error including all detected emission events was +8.2% using the HRRR wind source. The resulting detection curves and quantification accuracy illustrate important implications which must be considered when using measurements from GML or other remote emission measurement techniques to inform or validate inventory models, or to audit reported emission levels from oil and gas systems.</p>
Discretized bulk data by the discretization step of rFASTCORMICS used in in the publication scFASTCORMICS: A contextualization algorithm to reconstruct metabolic multi-cell population models from single-cell RNAseq data
<p>Bulk data RNAseq data were downloaded from GEO, GTEX, and other sources (see below) and discretized by the discretization step of rFASTCORMICS (Pacheco et al, 2019) used in the optimization step in scFASTCORMICS:</p> <p>CRC bulk RNAseq data were obtained from Lee et al(2020) <br> CRC control (NM) was downloaded from GSE81861 (GTEX, Healthy colon from)</p> <p>Pancreatic Human islet bulk RNAseq data was downloaded from EBI Expression Atlas (Pancreatic islet cells)</p> <p>Immune cells in pancreatic carcinoma bulk data were obtained from GEO (GSE156278)</p> <p>liver and breast cancer bulk RNAseq data were obtained from the TCGA (GSE62944)</p> <p> </p> <p>rFASTCORMICS and tutorial on rFASTCORMICS can be found: https://github.com/sysbiolux</p> <p> </p> <p> </p> <p> </p> <p><br> </p>
Single-cell RNA-seq count data used in differential expression benchmark study
<p>Count matrices and meta data tables from simulated and real world immune cell single-cell RNA-seq experiments.</p> <p>All files are in Rds format and can be read by R using "readRDS()". </p> <ul> <li>10k_*: These files contain a filtered version of the 10k Human PBMCs, 3' v3.1 data <a href="https://www.10xgenomics.com/resources/datasets/10k-human-pbmcs-3-v3-1-chromium-controller-3-1-high">published</a> by 10x Genomics</li> <li>blueprint_data.Rds: This file contains the bulk RNA-seq data downloaded from <a href="http://dcc.blueprint-epigenome.eu">BLUEPRINT</a></li> <li>blueprint_immune_comparisons.Rds: Results from running three bulk RNA-seq differential expression methods</li> <li>sim_data*: These files contain the count matrices and meta data tables for the simulated data. Every file contains a list of 13 replicates.</li> </ul> <p> </p>
Fibertools: fast and accurate m6A calling using single-molecule long-read sequencing (ML data)
<p>Fibertools is a convolutional neural network that permits the fast and accurate identification of endogenous and exogenous N6-methyladenine (m6A)-marked bases using single-molecule long-read sequencing.<strong> </strong>This dataset (ML data) provides training and validation data for training fibertools supervised and semi-supervised CNN models for three long-read chemistries.</p>
Development of a Predictive Model for In-Hospital Mortality in COVID-19 Patients Using CAR, IL-6, IL-6/LY, and NLR: A Single-Center Study in Indonesia
<p>Figure 1. ROC Curve of CAR, IL-6, IL-6/LY, and NLR</p> <p> </p> <p>Figure 2. Kaplan Meier curve of (a) CAR (b) IL-6 (c) IL-6/LY (d) NLR blue line represents group above cut off and green one represents group below cut-off</p> <p> </p>
Data and code info for: Reducing single-use cutlery with green nudges: Evidence from China's food delivery industry
<p>The rising consumer demand for online food delivery has significantly increased the consumption of disposable cutlery, leading to much greater plastic pollution worldwide. This study investigates the impact of green nudges on single-use cutlery consumption in China. Collaborating with Alibaba's food delivery platform Eleme (similar to Uber Eats and DoorDash), we analyzed detailed customer-level data and found that the green nudges — changing the default to "No Cutlery" and rewarding consumers with "green points" — increased the share of "No Cutlery" orders by 648%. The aggregate environmental benefits are significant: if the green nudges were applied to all of China, more than 21.75 billion sets of single-use cutlery could be saved every year, equivalent to a 20.4% of plastic waste reduction in the food delivery industry or a 6.12% reduction in China's total municipal plastic waste.</p>
Characterising neutrophil subtypes in cancer using human and murine single-cell RNA sequencing datasets
<p>Single cell RNA sequencing data generated by 10xGenomics for Neutrophils derived from colorectal cancer (CRC) KPN tumours (CRC_KPN_counts.csv) and normalised counts (CRC_KPN_NormalisedCounts.csv) as well as from other mouse models of CRC carrying AKPT, BPN, BP and KP mutations (CRC_other_counts.csv and CRC_other_NormalisedCounts.csv), together with the relevant metadata (CRC_KPN_metadata.csv and CRC_other_metadata.csv).</p>
Single-copy orthologous genes used for Ricefish phylogeny
<p>Ortholog set</p> <p> We generated a reference set consisting of 8390 single-copy protein-coding genes derived from OrthoDB v.9.1 (Waterhouse et al., 2013) available for the following species: <em>Austrofundulus limnaeus, Centrocoris variegatus, Fundulus heteroclitus, Kryptolebias marmoratus, Nothobranchius furzeri, Oryzias latipes, O. melastigma, Poecilia formosa, P. latipinna ,P. mexicana, P. reticulata</em> and <em>Xiphophorus maculatus </em>(NCBI Accession numbers in Table S7). The hierarchical split was set to Actinopterygii (ID 7898). We used the script “make-ogs-corresponding.pl” to check for inconsistencies between the amino acid sequences and the corresponding nucleotide sequences and removed 96 problematic genes (Tab. S7). </p> <p>Identification of orthologs for transcripts and genome and alignment of single-copy genes</p> <p> Ortholog identification among 16 ricefish species and four outgroups (DS1, supplementary tables Tab. S1a) was carried out with Orthograph v0.7.1 (Petersen et al., 2017). Forward search for candidate transcript was left at default. Best reciprocal hit: Ortholog candidate genes needed at least one hit in either <em>O. latipes</em> or <em>O. melastigma </em>and we allowed concatenation of hits if they met the criteria and did not overlap. Max-blast-searches were set to 50, blast-max-hits were also set to 50. “U” in the amino acid sequences was changed to “X” to avoid issues in downstream analysis. The results of the orthology prediction were summarized for all species using a custom perl script coming with the orthograph package. Sequences of only those orthologs with all species present were aligned using MAFFT v7.221 with the L-INS-I algorithm on amino acid level (Katoh & Standley, 2013). 915 orthologs with outliers were identified according to Misof et al. 2014 and were subsequently removed from further analysis. We used the amino-acid alignments as blue print to generate corresponding nucleotide alignments with a modified version of Pal2Nal v14 (Misof et al., 2014; Suyama et al., 2006). To check each amino acid alignment for ambiguously aligned regions, we ran ALISCORE v2.0 with the maximal number of possible sequence selected pairs to analyze (-r) (Kück et al., 2010; Misof et al., 2014; Misof & Misof, 2009). Sites which needed masking were cut out using ALICUT v2.3 (Kück, 2009) from the amino acid alignments and correspondingly also from the nucleotide alignments. For further analyses we only proceeded with the data set on nucleotide level.</p>
Data used in paper "Deciphering driver regulators of cell fate decisions from single-cell transcriptomics data with CEFCON"
<p>This directory contains the data resources of the following paper:</p> <p>"Deciphering driver regulators of cell fate decisions from single-cell transcriptomics data with CEFCON"</p>
Data compilation for "Label-free Imaging of Catalytic H2O2 Decomposition on Single Colloidal Pt Nanoparticles using Nanofluidic Scattering Microscopy"
<p>Data compilation for "Label-free Imaging of Catalytic H2O2 Decomposition on Single Colloidal Pt Nanoparticles using Nanofluidic Scattering Microscopy"</p> <p>This data set contains raw and evaluated data for the publication mentioned above and is structured into three parts which are packed as .zip files. The file labeled with MAIN 1 contains data for the figures 1 to 3 and MAIN 2 for figures 4 to 6 of the main manuscript. The file labeled with SI contains all data related to the supplementary information.</p> <p>The data itself has three main types. There are .tif images which contain the raw darkfield microscopy images, usually as image stack of several single pictures. Some of these .tif images have been processed according to the description in the publication and single frames exported as .png images.<br> The .xlsx files contain the evaluated data that has been extracted from the microscopic images and was used to draw the corresponding graphs in the publication. The individual tables and the respective columns/rows have a basic labeling identifying their contents.<br> In addition, the data set also contains SEM/TEM images that show mainly the platinum particles used in the experiments. There is also one Comsol simulation for the flow in a nanochannel that is being filled with a bubble, which was created with Comsol 5.5.</p>
Full Early Atrial Diagnostics in Single Chamber ICD Patients Using the DX Lead and Home Monitoring in Brazil.
ClinicalTrials.gov study NCT04869527. IPD Sharing: NO. Countries: 1. Publications: 0.
Screening of Valvular Heart Disease Using Single-channel Electrocardiogram
ClinicalTrials.gov study NCT07099417. IPD Sharing: NO. Countries: 1. Publications: 2.
Single Dose Preoperative Gabapentin Use in Minimally Invasive Hysterectomy for Acute Pain Management
ClinicalTrials.gov study NCT02703259. IPD Sharing: NO. Countries: 1. Publications: 7.
A Single-center, Feasibility Study to Evaluate the Use and Safety of the Percutaneous Ultrasound Gastrostomy Technique
ClinicalTrials.gov study NCT03575754. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Single Session Class to Reduce Opioid Use in Chronic Pain
ClinicalTrials.gov study NCT03950791. IPD Sharing: NO. Countries: 1. Publications: 1.
Inpatient Single Dose Interventions for Alcohol Use Disorder
ClinicalTrials.gov study NCT04562779. IPD Sharing: NO. Countries: 1. Publications: 1.
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.