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.
861
datasets available to search
ShareScore release 0.9.0
Dataset results
861 results for “comparison data”
Data for: Coarse-Grained Simulations of Columnar Ionic Liquid Crystals: Comparison with Experiments
<p>This repository contains the python scripts required for running coarse-grained simulations of columnar ionic liquid crystals, as detailed in the corresponding manuscript. The scripts have been tested with HOOMD-blue v.2.9.7 and python v.3.9.</p> <ul> <li>The script "equilibration_run_npt.py" performs the initial equilibration in the NPT ensemble using an isotropic barostat at atmospheric pressure.</li> <li>The script "production_run_nvt.py" performs the production run in the NVT ensemble.</li> </ul> <p>Both scripts take two input parameters from the command line, that is the name of the start configuration and the temperature T. For example, use the command "python3 production_run_nvt.py ILC8_303.0K_end_production.gsd 303" to load the file "ILC8_303.0K_end_production.gsd" and perform a production run at T=303K.</p> <p>In addition, we have included the final snapshots of our simulations in the .gsd format (https://gsd.readthedocs.io/). The file name indicates the specific ILC molecule and temperature, at which it was simulated. For example, the file "ILC8_303.0K_end_production.gsd" contains the final frame of the NVT simulations of the molecule ILC-8 at temperature T=303K.</p>
Raw Data for Energy Consumption Comparison of DMA-Based and FatFs Storage Systems on Wearable Devices
<p>This dataset contains raw oscilloscope measurements comparing the energy consumption of a Direct Memory Access (DMA)-based storage system versus the FatFs file system for wearable devices. The data was collected as part of the study "Direct Memory Access-Based Data Storage for Long-Term Acquisition Using Wearables in an Energy-Efficient Manner".</p> <p>The dataset includes voltage drop measurements across a 2-ohm shunt resistor, captured using an Analog Discovery 2 digital oscilloscope at a 500 kHz sampling rate. Measurements were taken under various conditions:</p> <ul> <li>Storage systems: DMA-based (proposed) and FatFs</li> <li>SD card capacities: 4 GB and 8 GB</li> <li>Write frequencies: 2 Hz and 5 Hz (referring to the frequency of writing a specific data block of 15,872 bytes)</li> <li>With and without a smoothing capacitor</li> </ul> <p>Each CSV file contains 20 million samples, equivalent to 40 seconds of data acquisition. File names encode the experimental conditions, including the storage system, write frequency, number of samples, acquisition rate, acquisition time, data format, SD card size, and absence of the smoothing capacitor.</p> <p>The data is organized into two main folders:</p> <ol> <li>"cap": Contains measurements with the smoothing capacitor</li> <li>"no_cap": Contains measurements without the smoothing capacitor</li> </ol> <p>This raw data can be used to reproduce the energy consumption and write speed analyses presented in the article, as well as for further investigation into the performance of embedded storage systems for wearable devices.</p>
A performance comparison of Dask and Spark for data-intensive neuroimaging pipelines (Interactive Gantt chart)
<p>Interactive Gantt chart for the paper "A performance comparison of Dask and Spark for data-intensive neuroimaging pipelines".</p>
Data for: Comparison of contributions to chloride in urban stormwater from winter brine and rock salt application
<p><strong>Abstract:</strong></p> <p>The use of road salt to increase roadway safety during winter storms releases high concentrations of chloride into urban and suburban stormwater. This stormwater flows into nearby streams, resulting in concentrations of chloride that can exceed water quality standards intended to protect aquatic life. As chloride pollution is not readily filtered by soil or plants, mitigation will require reductions in the amount of salt used. In this study, cities in St. Louis County, Missouri, U.S., were used as a test case for brining as a best management practice (BMP) to reduce salt use relative to the standard practice of spreading solid rock salt. The practice of brining involves the dissolution of road salt in water and the application of the resulting brine solution to roadways in advance of a forecasted winter storm. During the winters of 2016-17 and 2017-18, stormwater runoff from residential areas was monitored in paired cities to determine if the availability of brining as a BMP for salt application on residential roads would result in a decrease of chloride in stormwater and, therefore, a decrease in chloride reaching urban streams. The use of brining by city governments resulted in a 45% average reduction of chloride loads conveyed to streams, demonstrating that brining is a highly viable BMP for local municipal operations.</p> <p><strong>Publication DOI:</strong></p> <p><a href="https://doi.org/10.1021/acs.est.9b02864">https://doi.org/10.1021/acs.est.9b02864</a></p>
Experimental raw data sets associated with certified reference material BAM-P115 (titanium dioxide) for comparison of nitrogen and argon sorption, available in the universal adsorption information format (AIF)
<p>These data sets serve as models for calculating the specific surface area (BET method) using gas sorption in accordance with ISO 9277.<br>The present measurements were carried out with nitrogen at 77 Kelvin and argon at 87 Kelvin.<br>It is recommended to use the following requirements for the molecular cross-sectional area:<br>Nitrogen: 0.1620 nm²<br>Argon: 0.1420 nm²</p> <p>Expected specific surface area for nitrogen (BET): 140 to 154 m²/g<br>Expected specific surface area for argon (BET): 129 to 135 m²/g</p> <p>Titanium dioxides certified with nitrogen sorption and additionally measured with argon for research purposes were used as sample material.<br>The resulting data sets are intended to serve as comparative data for own measurements and show the differences in sorption behaviour and evaluations between nitrogen and argon.<br>These data are stored in the universal AIF format (adsorption information format), which allows flexible use of the data.</p>
Experimental raw data sets associated with certified reference material BAM-P114 (titanium dioxide) for comparison of nitrogen and argon sorption, available in the universal adsorption information format (AIF)
<p>These data sets serve as models for calculating the specific surface area (BET method) using gas sorption in accordance with ISO 9277.<br>The present measurements were carried out with nitrogen at 77 Kelvin and argon at 87 Kelvin.<br>It is recommended to use the following requirements for the molecular cross-sectional area:<br>Nitrogen: 0.1620 nm²<br>Argon: 0.1420 nm²</p> <p>Expected specific surface area for nitrogen (BET): 24 to 25 m²/g<br>Expected specific surface area for argon (BET): 20 m²/g</p> <p>Titanium dioxides certified with nitrogen sorption and additionally measured with argon for research purposes were used as sample material.<br>The resulting data sets are intended to serve as comparative data for own measurements and show the differences in sorption behaviour and evaluations between nitrogen and argon.<br>These data are stored in the universal AIF format (adsorption information format), which allows flexible use of the data.</p>
Data-Independent Acquisition Mass Spectrometry as a Tool for Metaproteomics: Interlaboratory Comparison Using a Model Microbiome
<p>Mass spectrometry (MS)-based metaproteomics is used to identify and quantify proteins in microbiome samples, with the frequently used methodology being Data-Dependent Acquisition mass spectrometry (DDA-MS). However, DDA-MS is limited in its ability to reproducibly identify and quantify lower abundant peptides and proteins. To address DDA-MS deficiencies, proteomics researchers have started using Data-Independent Acquisition Mass Spectrometry (DIA-MS) for reproducible detection and quantification of peptides and proteins. We sought to evaluate the reproducibility and accuracy of DIA-MS metaproteomic measurements relative to DDA-MS metaproteomic measurements using a mock community of known taxonomic composition. Artificial microbial communities of known composition were analyzed independently in three laboratories using DDA- and DIA-MS acquisition methods. DIA-MS yielded more protein and peptide identifications than DDA-MS in each laboratory. In addition, the protein and peptide identifications were more reproducible in all laboratories and provided an accurate quantification of proteins and taxonomic groups in the samples. We also identified some limitations of current DIA tools when applied to metaproteomic data highlighting specific needs to further improve DIA tools to enable analysis of metaproteomic datasets from complex microbiomes. Ultimately, DIA-MS represents a promising data collection strategy for MS-based metaproteomics due to its large number of detected proteins and peptides, reproducibility, deep sequencing capabilities, and accurate quantitation.</p>
Wetland sediment soil organic carbon sequestration data to support radiometric technique comparisons
<p>This workbook shows the ID, the geographical location, the year of sampling, and sediment core information in samples collected from undisturbed wetlands situated across four provinces of Canada (Alberta, Saskatchewan, Manitoba, and Ontario) from 2016 to 2019.</p>
Comparison of Fixed Single Cell RNA-seq Methods to Enable Transcriptome Profiling of Neutrophils in Clinical Samples - Time course data
<p>Monitoring neutrophil gene expression is a powerful tool for understanding disease mechanisms, developing new diagnostics, therapies and optimizing clinical trials. Neutrophils are sensitive to the processing, storage and transportation steps that are involved in clinical sample analysis. This study is the first to evaluate the capabilities of technologies from 10X Genomics, PARSE Biosciences, and HIVE (Honeycomb Biotechnologies) to generate high-quality RNA data from human blood-derived neutrophils. Our comparative analysis shows that all methods produced high quality data, importantly capturing the transcriptomes of neutrophils. 10X FLEX cell populations in particular showed a close concordance with the flow cytometry data. Here, we establish a reliable single-cell RNA sequencing workflow for neutrophils in clinical trials: we offer guidelines on sample collection to preserve RNA quality and demonstrate how each method performs in capturing sensitive cell populations in clinical practice.</p> <p><strong>This dataset includes only the 10X Flex time course data and analysis.</strong></p>
Comparison of Meteorological Data: Chios and Kardamyla, January – March 2024
<p>A comparison of the meteorological data from two nearby locations on Chios Island, <strong>Chios </strong>(town) and <strong>Kardamyla</strong>, for the months of January, February, and March 2024, reveals some interesting climatological patterns. The data includes temperature, rainfall, wind speed, and wind direction, providing a valuable overview of the weather conditions in these Aegean locations.</p> <h3>Temperature</h3> <p>The average temperature shows a steady increase in both areas over the three months:</p> <ul> <li><strong>Kardamyla</strong>: <ul> <li>January: 12.4°C</li> <li>February: 13.4°C</li> <li>March: 13.9°C</li> </ul> </li> <li><strong>Chios town</strong>: <ul> <li>January: 11.9°C</li> <li>February: 13.0°C</li> <li>March: 14.1°C</li> </ul> </li> </ul> <p>The temperatures in both areas are quite similar, with Chiostown recording slightly higher average temperatures in February and March compared to Kardamyla. This might be due to differences in local topography and exposure to wind patterns.</p> <h3>Rainfall</h3> <p>Rainfall varies across the three months, with significant precipitation recorded in both locations:</p> <ul> <li><strong>Kardamyla</strong>: <ul> <li>January: Total rainfall 87.6 mm (maximum daily: 19.2 mm)</li> <li>February: Total rainfall 70.4 mm (maximum daily: 49.4 mm on February 12)</li> <li>March: Total rainfall 63.2 mm (maximum daily: 28.2 mm on March 5)</li> </ul> </li> <li><strong>Chios town</strong>: <ul> <li>January: 54.8 mm</li> <li>February: 82.8 mm (maximum daily: 43.6 mm on February 12)</li> <li>March: 69.6 mm (maximum daily: 25.4 mm on March 5)</li> </ul> </li> </ul> <p>Both locations experienced heavy rainfall in February, with Chiostown recording a maximum daily rainfall of 43.6 mm on the 12th, close to the 49.4 mm recorded in Kardamyla on the same day. This indicates a shared weather event, likely an intense storm system affecting both areas.</p> <h3>Wind</h3> <p>Wind speeds in both locations show similar patterns of strong winds during winter and early spring, with some days registering high gusts:</p> <ul> <li><strong>Kardamyla</strong>: <ul> <li>January: Maximum wind speed 85.3 km/h</li> <li>February: Maximum wind speed 82.1 km/h</li> <li>March: Maximum wind speed 77.2 km/h</li> </ul> </li> <li><strong>Chios town</strong>: <ul> <li>January: Maximum wind speed 90.1 km/h</li> <li>February: Maximum wind speed 67.6 km/h</li> <li>March: Maximum wind speed 66.0 km/h</li> </ul> </li> </ul> <p>Chiostown recorded the highest wind speeds in January (90.1 km/h), while the wind intensity decreased slightly in February and March. In contrast, Kardamyla experienced consistently high wind speeds throughout the three months. Northerly and north-northeasterly winds dominate in both areas, with southern winds occurring during stormy conditions.</p> <h3>Conclusions</h3> <p>Several key conclusions can be drawn from this comparison:</p> <ol> <li><strong>Temperature</strong>: Temperatures rise gradually as spring approaches, with Chiostown showing slightly higher average temperatures than Kardamyla during February and March.</li> <li><strong>Rainfall</strong>: Both locations experienced significant rainfall, particularly in February. The high daily rainfall values on February 12 suggest a shared intense weather event affecting both locations.</li> <li><strong>Wind</strong>: Strong winds are a consistent feature in both areas, with Chiostown experiencing slightly higher maximum wind speeds in January but Kardamyla maintaining stronger winds throughout the three-month period.</li> </ol> <p>Overall, the weather conditions in Chios (town) and Kardamyla are quite similar, with local topographical and geographical factors influencing small variations in temperature, rainfall, and wind speeds.</p>
Experimental data for Dynamic cover effects in lateral bedrock channel bank abrasion: Experiment and model comparison
<p>Experimental data for bank erosion.xlsx contains the data used for the figures in the paper, and the distribution of bedrock bank erosion in the longitudinal direction in Run 1 - Run 18.</p>
Raw data from Incineration Ash-Inter Comparison Results for Metal Concentrations by ICP-mS method
<p>The dataset contains the raw data of all consortium member for metal concentrations on loaded filters.</p> <p>These data relate to the journal article <strong>Novel preparation of a candidate reference material of PM10 and PM2.5 airborne particulate filters loaded with incineration ash. Inter comparison results for metal c</strong>once<strong>ntrations</strong> by Alexandre Bescond, Caroline Oster, Paola Fisicaro, Sharon Goddard, Paul Quincey, Lamprini-Areti Tsakanika, Theopisti Lymperopoulou, Maria Ochsenkuehn-Petropoulou. <a href="https://doi.org/10.3390/atmos12010067">https://doi.org/10.3390/atmos12010067</a></p> <p>Theses datas was produced with ICP-MS devices for the determination of metal concentration on loaded filters. The filters was produced by LNE with an aerosol disperser.</p>
Data Archive for: Hurricane Laura (2020): A Comparison of Drop Size Distribution Moments Using Ground and Radar Remote Sensing Retrieval Methods
<p>This archive corresponds to the data described in Brauer et al. (2021) to be published in <em>Journal of Geophysical Research: Atmospheres.</em> Please see the included readme.txt file for details about each data file.</p>
Data from: Comparison between the kinematics for kangaroo rat hopping on a solid versus sand surface
<p>In their natural habitats, animals move on a variety of substrates, ranging from solid surfaces to those that yield and flow (<i>e.g.</i>, sand). These substrates impose different mechanical demands on the musculoskeletal system and may therefore elicit different locomotion patterns. The goal of this study is to compare bipedal hopping by desert kangaroo rats (<i>Dipodomys deserti)</i> on a solid versus granular substrate under speed-controlled conditions. To accomplish this goal, we developed a rotary treadmill, which is able to have different substrates or uneven surfaces. We video recorded six kangaroo rats hopping on a solid surface versus sand at the same speed (1.8 m/s) and quantified the differences in the hopping kinematics between the two substrates. W<span>e found</span> no significant differences in the hop period, hop length, or duty cycle, showing that the gross kinematics on the two substrates were similar. This similarity was surprising given that sand is a substrate that absorbs mechanical energy. Measurements of the penetration resistance of the sand showed that the combination of the sand properties, toeprint area, and kangaroo rat weight was likely the reason for the similarity.</p>
Data for deJonge et al. - Characterizing an invasion assemblage: first comparison of insect communities on native and introduced subspecies of Phragmites australis in Ontario, Canada
<p>Data for deJonge et al. publication "Characterizing an invasion assemblage: first comparison of insect communities on native and introduced subspecies of <em>Phragmites australis </em>in Ontario, Canada". Data are produced from a 2016-2017 survey of 28 geographically paired sites across Ontario, Canada containing introduced <em>Phragmites australis </em>ssp. <em>australis </em>or native <em>Phragmites australis </em>ssp. <em>americanus</em>. The dataset includes for each site basic descriptions of site characteristics (e.g., latitude, stem density), the stem attack rate (% of live stems containing at least one insect) of fourteen insect taxa, and alpha-diversity indices calculated from the attack rates ("FullSiteData" tab). It also includes basic presence and absence data for each taxon across the fourteen sites of each subspecies ("Presence-AbsenceData" tab), and paired differences between native and introduced sites in alpha- and beta-diversity indices, and stem attack rates by taxon ("PairedData(Native-Introduced)" tab).</p>
Data from: Comparisons of quantitative approaches for assessing microglial morphology reveal inconsistencies, ecological fallacy, and a need for standardization
<p>Microglia morphology is used as a measure of neuroinflammation and pathology, but different methods to quantify microglia morphology are frequently employed across neuroscience. For reliable inference, it is critical that microglial morphology is accurately quantified and that results can be easily interpreted and compared across studies. We applied five of the most commonly used ImageJ-based methods for quantifying the microglial morphological response to a stimulus to identical photomicrographs and isolated microglial cells, which allowed for direct comparisons of the specificity and reliability of each method.</p>
Euclid: Modelling massive neutrinos in cosmology — a code comparison (data record: data-snapshot-0.0eV-1024Mpc)
<p>This record is part of a distributed data set associated with the paper ‘Euclid: Modelling massive neutrinos in cosmology — a code comparison’. This record holds the <strong>simulation snapshot data for the 0.0eV 1024Mpc simulation</strong>.</p> <p>See the <a href="https://doi.org/10.5281/zenodo.7297976">main repository</a> for details.</p>
Euclid: Modelling massive neutrinos in cosmology — a code comparison (data record: data-snapshot-fiducial)
<p>This record is part of a distributed data set associated with the paper ‘Euclid: Modelling massive neutrinos in cosmology — a code comparison’. This record holds the <strong>simulation snapshot data for the fiducial simulations</strong>.</p> <p>See the <a href="https://doi.org/10.5281/zenodo.7297976">main repository</a> for details.</p>
Euclid: Modelling massive neutrinos in cosmology — a code comparison (data record: data-ic-HR)
<p>This record is part of a distributed data set associated with the paper ‘Euclid: Modelling massive neutrinos in cosmology — a code comparison’. This record holds the <strong>initial condition data for the HR simulations</strong>.</p> <p>See the <a href="https://doi.org/10.5281/zenodo.7297976">main repository</a> for details.</p>
Euclid: Modelling massive neutrinos in cosmology — a code comparison (data record: data-ic-1024Mpc)
<p>This record is part of a distributed data set associated with the paper ‘Euclid: Modelling massive neutrinos in cosmology — a code comparison’. This record holds the <strong>initial condition data for the 1024Mpc simulations</strong>.</p> <p>See the <a href="https://doi.org/10.5281/zenodo.7297976">main repository</a> for details.</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.