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3,481 results for “data set”
Data sets ''Origin of Intelligence: Proteinoids and Fungi''
<p>The data from this research article ''Origin of Intelligence: Proteinoids and Fungi'' is available in Origin Pro software format for further analysis and visualization.</p>
Case study input data set for article "Stochastic planning of energy system transformation pathways under uncertain industry demands"
<p>The data set contains input data for the model EMPRISE of Fraunhofer Institute for Energy Economics and Energy System Technology IEE. </p>
Automated cell annotation in scRNA-seq data using unique marker gene sets
<p>Single-cell RNA sequencing has revolutionized the study of cellular heterogeneity, yet accurate cell type annotation remains a significant challenge. Inconsistent labels, technological variability, and limitations in transferring annotations from reference datasets hinder precise annotation. This study presents a novel approach for accurate cell type annotation in scRNA-seq data using unique marker gene sets. By manually curating cell type names and markers from 280 publications, we verified marker expression profiles across these datasets and unified nomenclatures to consistently identify 166 cell types and subtypes. Our customized algorithm, which builds on the AUCell method, achieves accurate cell labeling at single-cell resolution and surpasses the performance of reference-based tools like Azimuth, especially in distinguishing closely related subtypes. To enhance accessibility and practical utility for researchers, we have also developed a user-friendly application that automates the cell typing process, enabling efficient verification and supporting comprehensive downstream analyses. The desktop application can be accessed at <a href="https://omnibusx.com/">https://omnibusx.com</a>.</p>
Data set for the paper "Swimming ability of the Carybdea marsupialis (Cnidaria: Cubozoa: Carybdeidae): implications for its spatial distribution"
<p>This document provides data supporting the results of the scientific paper "Swimming ability of the Carybdea marsupialis (Cnidaria: Cubozoa: Carybdeidae): implications for its spatial distribution". It includes surface current data from the coast of Dénia (Spain) and swimming kinematic parameters.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 10
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 10 comprises an image series of 255 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 50 nm using the T1 detector of the SEM at high vacuum. Original pixel size was 10 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 05
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 05 comprises an image series of 500 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 50 nm using the DBS detector of the SEM at low vacuum (0.4 mbar). Original pixel size was 6 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 03
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 03 comprises an image 3D model of a <em>Giardia lamblia</em> cell adhered to the plastic substrate of a culture dish. The model was generated by segmentation of the entire cell, the cell nuclei (red) and the ventral disc cytoskeleton (yellow) in an image series of 276 images which was recorded by SBF SEM (see dataset 01). Section interval was 50 nm and pixel size 10 nm. The data folder contains the model-file (Imaris-format) and a 360° rotation of the model as video file (mp4-format).</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 02
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 02 comprises an image series of 1462 images recorded of a <em>Giardia lamblia</em> cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 10 nm using the DBS detector of the SEM at low vacuum (0.5 mbar). Original pixel size was 5 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 09
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 09 comprises an image series of 400 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 10 nm using the DBS detector of the SEM at low vacuum (0.4 mbar). Original pixel size was 10 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 08
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 08 comprises an image series of 299 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 50 nm using the DBS detector of the SEM at low vacuum (0.4 mbar). Original pixel size was 3 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 04
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 04 comprises an image series of 120 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 50 nm using the T1 detector of the SEM at high vacuum. Original pixel size was 10 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 07
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 07 comprises an image series of 318 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 10 nm using the DBS detector of the SEM at low vacuum (0.4 mbar). Original pixel size was 8 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 06
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 06 comprises an image series of 215 images recorded of a HeLa cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 10 nm using the DBS detector of the SEM at low vacuum (0.4 mbar). Original pixel size was 10 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Serial block-face scanning electron microscopy of adherent cells on thin plastic substrate – Data set 01
<p>Serial block-face (SBF) scanning electron microscopy (SEM) is used for imaging the entire internal ultrastructure of cells, tissue samples or small organisms. We developed a workflow for SBF SEM of adherent cells, such as <em>Giardia</em> parasites and HeLa cells, attached to the surface of a plastic culture dish, which preserves the interface between cells and plastic substrate. Cells were embedded <em>in situ</em> on their substrate using silicone microwells and were mounted for cross-sectioning which allowed SBF imaging of large volumes and many cells. In total we provide 10 data sets with image series from SBF SEM of <em>Giardia</em> and HeLa cells prepared with protocol variants to improve the workflow. A detailed description of the methods and the data set is provided in the download container.</p> <p>Data set 01 comprises an image series of 276 images recorded of a <em>Giardia lamblia</em> cell adhered to the plastic substrate of a culture dish. SBF SEM was done at a section interval of 50 nm using the DBS detector of the SEM at low vacuum (0.5 mbar). Original pixel size was 4 nm. The data folder contains the raw image files, processed image files (see data set description for details of the processing), a video file of a processed image file series.</p>
Prioritising GitHub Priority Labels - Data Set and Software
<p>This is the data set and software produced for the paper <em>Prioritising GitHub Priority Labels</em>, J. Caddy and C. Treude.</p> <p>The CSV file contains a manually categorised set of GitHub issue labels that are priority-related. They have been ranked and normalised into three values; "High", "Medium", and "Low" priorities. These labels have been gathered from the 5000 most-starred repositories on GitHub as of 2022-06-01.</p> <p>The Python script makes use of this data set as an example, and will retrieve the highest priority issues from all of the repositories contributed to by the author specified.</p> <p>Run the python script from the same directory as the CSV file, providing the username you wish to see the highest priority issues for as the first command line argument. Supply your GitHub Personal Access Token either at the prompt so it's not displayed, or as the second command line argument.</p>
Data set related to the manuscript "Investigating the effect of particle size distribution and complex exchange dynamics on NMR spectra of ions diffusing in disordered porous carbons through a mesoscopic model"
<p>Graphical files in the agr format for all the figures in the manuscript entitled "Investigating the effect of particle size distribution and complex exchange dynamics on NMR spectra of ions diffusing in disordered porous carbons through a mesoscopic model". XYZ files giving the particles and bulk positions in the lattices are also provided.</p>
SNP data set of Peruvian highland maize races
<p>Peruvian maize exhibits significant morphological diversity, with landraces cultivated from sea level up to 3,500 meters above sea level. Previous research based on morphological descriptors identified at least 52 Peruvian maize races, but their genetic diversity and population structure remain largely unknown. In this study, we used genotyping-by-sequencing (GBS) to infer the genetic structure and diversity of 423 maize accessions from the Genebank of La Molina National Agrarian University (UNALM). These accessions represent nine races and one sub-race, along with 15 open-pollinated lines (purple corn) and two yellow maize hybrids. We obtained 14,235 high-quality SNPs distributed along the 10 maize chromosomes. Gene diversity ranged from 0.33 (Pachia) to 0.362 (Ancashino), with Cusco showing the lowest inbreeding coefficient (0.205) and Ancashino the highest (0.274) among the landraces. Population divergence (FST) was very low (mean = 0.017), indicating extensive interbreeding among Peruvian maize varieties. Population structure analysis revealed that these 423 distinct genotypes could be grouped into 10 clusters, with some maize races clustering together. Peruvian maize races did not form monophyletic groups; instead, our phylogenetic tree identified two clades corresponding to the chronological classification of Peruvian maize races: <em>Anciently Derived or Primary Races</em> (ADPR) and <em>Lately Derived or Secondary Races</em> (LDSR). These clades also align with the geographic origins of the maize races, reflecting their mixed evolutionary backgrounds. Further investigation of Peruvian maize germplasm using modern technologies is essential to enhance their use in breeding programs, particularly in the Andean region of Peru.</p>
Data set from: Inferential reasoning in wild bumblebees
<p>The ability to make a decision by excluding alternatives (i.e., inferential reasoning) is a type of logical reasoning that allows organisms to solve problems with incomplete information. Several species of vertebrates have been shown to find hidden food using inferential reasoning abilities. Yet little is known about invertebrates' logical reasoning capabilities. In three Experiments, I examined wild-caught bumblebees' abilities to locate a "rewarded" stimulus using direct information or incomplete information—the latter requiring bees to use inferential reasoning. To do so, I adapted 3 paradigms previously used with primates—the two-cup, three-cup, and double 2-cup tasks. Bumblebees saw either 2 paper strips (Experiment 1), 3 paper strips (Experiment 2), or 2 pairs of paper strips (Experiment 3) and experienced one of them being rewarded or unrewarded. At test, they could choose between 2 (Experiment 1), 3 (Experiment 2), or 4 paper strips (Experiment 3). Bumblebees succeeded in the three tasks and their performance was consistent with inferential reasoning. These findings highlight the importance of comparative studies with invertebrates to comprehensively track the evolution of reasoning abilities, in particular, and cognition, in general.</p>
Combined data file for Jokinen et al. "Depth and intensity of the sulfate-methane transition zone control sedimentary molybdenum and uranium sequestration in a eutrophic low-salinity setting", Applied Geochemistry 122, 2020
<p>The datafile contains all the new raw data presented in the figures in the publication.</p>
Data set for study "Thermal Dynamic Models for Predicting the Indoor Temperature of Multi-Zone Buildings"
<p>Input data for the study "Thermal Dynamic Models for Predicting the Indoor Temperature of Multi-Zone Buildings"</p>
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.