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.
6,467
datasets available to search
ShareScore release 0.9.0
Dataset results
6,467 results for “process”
data from "Fractal properties of isolines at varying altitude revealing different dominant geological processes on Earth"
<p>The file contains the data used to produce Fig.4 for the paper "Fractal properties of isolines at varying altitude revealing</p><p>different dominant geological processes on Earth", by Andrea Baldassarri, Marco Montuori, Olga Prieto-Ballesteros,</p><p>and Susanna C. Manrubia, Journal of Geophysical Research: PlanetsVolume 113, Issue E9, https://doi.org/10.1029/2007JE003066</p>
Insight into the impact of viruses on biogeochemical processes in agricultural soils
Open the record for dataset details and reuse information.
Importance rating of various operational aspects related to repair service processes
<h3>Contextual information</h3><p>The survey considers the scenario that repairs are conducted at a repair service centre but not as a repair service at home as, e.g., for washing machines. This allowed to split the sample into four groups, each of it referring to a different portable product to be repaired (bicycle, smartphone, vacuum cleaner and a generic product) in order to examine the generalisability of the results.</p><p>The survey is based on items related to repair operations and provides data concerning the importance of the different items. It considers the scenario that repairs are conducted at a repair service centre but not as a repair service at home as, e.g., for washing machines. The operational aspects concern three different stages of the repair process that can be influenced by the repair company: the prepurchase, service encounter, and post-encounter stage. Furthermore, socio-demographic data is included.</p><h3>Description of the data and file structure</h3><p>The dataset contains 107 aspects identified for potential improvement of repair operations. The importance of operational aspects was rated by survey participants on a 7-point Likert scale (extremely important to not at all important). Three additional questions for quality control (e.g., 'Please tick 1 = extremely important') tested the attention of the participants. </p><p>File 'Translation_of_items.ods' contains the items in German (original version) and English (translated). File 'Description_of_Data.ods' contains a description of the variables.</p><ul><li>We removed all answers with completion time of less than five minutes, as the pre-test showed that this was the minimum time for a focused completion of the survey.</li><li>All data rows with wrongly answered control questions were removed.</li></ul>
Pyrolysis process in SCENARIOS
<p>A very brief explanation of the concept of vermichar for decontaminating PFAS-contaminated soils.</p>
Dataset: Behavior of Participants in Hands-on Cybersecurity Training Suitable for Process Mining
<p>This repository contains supplementary materials for the following journal paper:</p> <p>Radek Ošlejšek, Martin Macák, Karolína Dočkalová Burská.<br><em>Hands-on cybersecurity training behavior data for process mining.</em><br>In Elsevier Data in Brief. 2023.<br>Available as open-access article on <a href="https://doi.org/10.1016/j.dib.2023.109956">https://doi.org/10.1016/j.dib.2023.109956</a></p> <p><strong>Contents</strong></p> <p>Datasets store event logs of trainees participating in hands-on cybersecurity exercises organized in the <a href="https://www.kypo.cz">KYPO Cyber Range</a>. The data includes training scenarios (expected behavior), raw event logs in the JSON format, and aggregated behavioral data suitable for process mining analysis.</p> <ol> <li><strong>Data1:</strong> A dataset of 52 trainees participating in the <a href="https://gitlab.ics.muni.cz/muni-kypo-trainings/games/locust-3302">Locust 3302</a> exercise adapted an insider attack scenario. No time restrictions were posed on playtime. The data file is structured as follows: <ul> <li>training_definition.json: The exercise content – cybersecurity tasks and hints. The training is based on the <a href="https://gitlab.ics.muni.cz/muni-kypo-trainings/games/locust-3302">Locust 3302</a> game adapted to an insider attack scenario.</li> <li>training_events: Recorded progress of trainees within the exercise, i.e., the status of completing tasks.</li> <li>command_histories: Recorded commands executed on network hosts.</li> <li>process_mining.csv: Complete PM-ready dataset suitable for process discovery or conformance analysis.</li> <li>process_mining_simplified.csv : Reduced PM-ready dataset with semantically identical events being removed.</li> </ul> </li> <li><strong>Data2:</strong> A dataset of 48 trainees participating in the original <a href="https://gitlab.ics.muni.cz/muni-kypo-trainings/games/locust-3302">Locust 3302</a> exercise. Three supervised training sessions were restricted to two hours of playtime. The structure follows the structure of Data1.</li> <li><strong>Tool:</strong> A Java application used to aggregate raw JSON data and transform them into a CSV format suitable for process mining techniques.</li> </ol> <p><strong>How to cite</strong></p> <p>If you use or build upon the materials, please use the BibTeX entry below to cite the original work.</p> <pre><code>@article{Oslejsek2023dataset, author = {Radek O\v{s}lej\v{s}ek and Martin Mac\'{a}k and Karol\'{i}na {Do\v{c}kalov\'{a} Bursk\'{a}}}, title = {Hands-on cybersecurity training behavior data for process mining}, journal = {{Data in Brief}}, publisher = {Elsevier}, issn = {2352-3409}, year = {2023}, volume = {52}, doi = {10.1016/j.dib.2023.109956}, url = {https://www.sciencedirect.com/science/article/pii/S2352340923009873} }</code></pre>
TINKER_WP5_TIGER-Ink production process_131223
<p>The diagram illustrates the development of two systems: insulating inkjet ink and heat conductive ink. Both types of inks are based on different acrylate based monomers and oligomers. As both inks are UV-LED curable they contain mainly phosphine-oxide based photo-initiators. The heat conductive inks also contain Boron nitrate in the form of heat conducting nanoparticles. The grinding part is only valid for the BN-based heat conductive inks.</p>
Hydraulic Processes based on Managed Realignment
<p>As a part of the primary requirement for the Data Science task, it has been written a document under name of Data Management Plan. For this purpose we used a tool provided by TU Wien - DMP Tool. The DMP has been build in a way to comply with Science Europe guidlines and hence following FAIR principles.</p> <p>This is s Verison 1 of DMP and the updates will be performed through the research if that's required. </p>
Supplementary material for "Exploring Conceptual Data Modeling Processes: Insights from Clustering and Visualizing Modeling Sequences"
<p>This material supplements the following conference publication:</p> <p>Winkler, Rosenthal, Strecker (2024). "Exploring Conceptual Data Modeling Processes: Insights from Clustering and Visualizing Modeling Sequences". Modellierung 2024.</p>
EAMv1 simulation output for evaluating two aerosol process coupling schemes
<p>EAMv1 is version 1 of the atmosphere component of the Energy Exascale Earth System Model (E3SM, <a href="https://github.com/E3SM-Project/E3SM">https://github.com/E3SM-Project/E3SM</a>). This upload contains processed output from transient simulations conducted using the F20TRC5-CMIP6 compset. The EAMv1 source code used in the simulations can be found in <a href="https://doi.org/10.5281/zenodo.7995850">Zenodo record 7995850</a>. Scripts used to conduct and analyze the simulations can be found in <a href="https://doi.org/10.5281/zenodo.10371316">Zenodo record 10371316</a>. </p> <p>The following tarballs contain annually averaged simulation output:</p> <ul> <li>cflx_1_L30_F20TRC5-CMIP6.tar.gz</li> <li>cflx_1_L72_F20TRC5-CMIP6.tar.gz</li> <li>cflx_2_L30_F20TRC5-CMIP6.tar.gz</li> <li>cflx_2_L72_F20TRC5-CMIP6.tar.gz</li> </ul> <p>The following split zip archives contain 6-hourly simulation output:</p> <ul> <li>cflx_1_L30_F20TRC5-CMIP6_6h.z*</li> <li>cflx_2_L72_F20TRC5-CMIP6_6h.z*</li> </ul>
Compressed EAMv1 simulation output for evaluating two aerosol process coupling schemes
<p>EAMv1 is version 1 of the atmosphere component of the Energy Exascale Earth System Model (E3SM, <a href="https://github.com/E3SM-Project/E3SM">https://github.com/E3SM-Project/E3SM</a>). This upload contains processed output from transient simulations conducted using the F20TRC5-CMIP6 compset. The EAMv1 source code used in the simulations can be found in <a href="https://doi.org/10.5281/zenodo.7995850">Zenodo record 7995850</a>. Scripts used to conduct and analyze the simulations can be found in <a href="https://doi.org/10.5281/zenodo.10371316">Zenodo record 10371316</a>. </p> <p>The following tarballs contain annually averaged simulation output:</p> <ul> <li>cflx_1_L30_F20TRC5-CMIP6.tar.gz</li> <li>cflx_1_L72_F20TRC5-CMIP6.tar.gz</li> <li>cflx_2_L30_F20TRC5-CMIP6.tar.gz</li> <li>cflx_2_L72_F20TRC5-CMIP6.tar.gz</li> </ul> <p>The following split archives contain 6-hourly simulation output:</p> <ul> <li>cflx_1_L30_F20TRC5-CMIP6_6h.tar.gz.*</li> <li>cflx_2_L72_F20TRC5-CMIP6_6h.tar.gz.*</li> </ul> <p>The split archives can be recombined and untarred using, e.g., the following commands: </p> <pre><code>${casename}="cflx_1_L30_F20TRC5-CMIP6_6h" cat ${casename}.tar.gz.* | tar xzvf -</code></pre> <p>A copy of the uncompressed and unsplit files can be found through <a href="https://portal.nersc.gov/project/m4359/huiwan/cflx/EAMv1_output_202311_for_Zenodo/">NERSC's web portal</a>.</p>
Processed data to accompany "Clonally heritable gene expression imparts a layer of diversity within cell types"
<p>This is the processed data underlying the paper "Clonally heritable gene expression imparts a layer of diversity within cell types" by Mold, Weissman, et al. Data has been gone through preprocessing steps, using the Python Notebooks found at <a href="https://github.com/MartyWeissman/ClonalOmics/tree/main/Data">https://github.com/MartyWeissman/ClonalOmics/tree/main/Data</a>. </p> <p>Smaller files are provided in .csv (comma-separated-value) format and larger files such as expression matrices are provided in .loom format (<a href="https://anndata.readthedocs.io/en/latest/">using the AnnData package</a>).</p> <p> </p> <p> </p>
Supplementary Material on "Processes, Methods, and Tools in Model-based Engineering --- A Qualitative Multiple-Case Study"
<p>This dataset provides the supplementary material that we applied for all interviews conducted in the context of our qualitative study resulting in the JSS article mentioned in the title:</p> <ul> <li>The semi-structured interview guide,</li> <li>the codebook,</li> <li>the blank consent form that our interviewees signed,</li> <li>and the blank invitation mail that we used to ask our interviewees to participate in our study.</li> </ul>
Fig. 4. Prosternal processes. A. Cholovocera afghana Johnson, 1977. B in A revision of the genus Cholovocera Victor, 1838 (Coleoptera: Endomychidae)
Fig. 4. Prosternal processes. A. Cholovocera afghana Johnson, 1977. B. Ch. attae (Kraatz, 1858). C. Ch. balcánica (Karaman, 1936). D. Ch. gallica (Schaufuss, 1876). E. Ch. formicaria Victor, 1838. F. Ch. formiceticola (Rosenhauer, 1856). G. Ch. occulta sp. nov. H. Ch. punctata (Märkel, 1845).
Drivers of plant diversity, community composition, functional traits and soil processes along an alpine gradient in the central Chilean Andes
<p>The datasets in this repository include plant community surveys, hyperspectral reflectance data at the leaf and canopy level, leaf trait data, and soil chemistry data collected at five sites along an elevation gradient of 2400m-3500m in the Chilean Andes (33°S, 70°W). The purpose of this study was to evaluate the environmental drivers of community assembly processes along the elevation gradient.</p>
Effect of shade and nitrogen content on Arabidopsis Col-0 and cytokinin mutants abcg14 and cypDM mRNA-seq gene expression processed tables.
<p>This dataset is an add-on for Gautrat et al., containing processed files for the mRNAseq data in tab delimited txt format.</p> <p>Here, you can obtain the raw counts file, the normalized CPM values, and the normalized logCPM values</p> <p>The RNA-seq raw data supporting the conclusions of this article have been deposited in ArrayExpress (Kolesnikov et al., 2015) at EMBL-EBI (www.ebi.ac.uk/arrayexpress), under accession numbers E-MTAB-13638.</p> <p>All relevant custom r scripts are available at https://github.com/aromanowski/shade_N_ck</p>
Processing, Spectroscopic and Laboratory Testing Data from a Medical Grade Hot-Melt Extrusion Process
<p>This dataset contains a collection of raw processing data, spectroscopic data, and laboratory test results of medical-grade polymer extrusion experiments. The data was collected in several experiments conducted in a hot-melt extrusion process. The process involved extruding PLA through a slit die and drawing the extruded strands onto spools to obtain the desired dimensional and mechanical properties. The strands were later knitted to form the final medical implant. Throughout the experiments, the extrusion process and equipment were upgraded and refined. Various operational scenarios were simulated under different nozzle configurations. The experiments start using a single-screw extruder and later progress to a double-screw extruder. Medical Grade PURASORB PLA (PLDLA 96/4) material was used when the hardware upgrades were complete. This dataset contains many variations in experimental conditions. However, enough overlap exists to derive working datasets from this compiled raw data.</p> <p> </p> <p>Two working datasets have been derived from this compiled raw data. Using a double-screw extruder, both working Datasets investigate polymer degradation in the hot-melt extrusion process. Both derived datasets are included in this collection.</p> <p> </p> <p>Two Jupyter notebooks are included in this data collection. The first notebook gives an example of how an initial dataset can be derived from the raw data using data science techniques. The second notebook gives an example of how a final dataset can be created from the initial dataset.</p>
txtools use cases omic references and processed data
<p><strong>Dataset</strong></p> <p>This dataset entry is meant to be downloaded programmatically while rendering the txtools_useCases.Rmd notebooks, to facilitate their replication using the provided genomic references. Processed data is also provided to show ready-to-use examples of data processed by txtools.</p> <p><strong>Abstract</strong></p> <p>We present txtools, an R package that enables the processing, analysis, and visualization of RNA-seq data at the nucleotide-level resolution, seamlessly integrating alignments to the genome with transcriptomic representation. txtools’ main inputs are BAM files and a transcriptome annotation, and the main output is a table, capturing mismatches, deletions, and the number of reads beginning and ending at each nucleotide in the transcriptomic space. txtools further facilitates downstream visualization and analyses. We showcase, using examples from the epitranscriptomic field, how a few calls to txtools functions can yield insightful and ready-to-publish results. txtools is of broad utility also in the context of structural mapping and RNA:protein interaction mapping. By providing a simple and intuitive framework, we believe that txtools will be a useful and convenient tool and pave the path for future discovery. txtools is available for installation from its GitHub repository at <a href="https://github.com/AngelCampos/txtools">https://github.com/AngelCampos/txtools</a>. </p>
Dynamic 1D search and processive nucleosome translocations by RSC and ISW2 chromatin remodelers
<p>Eukaryotic gene expression is linked to chromatin structure and nucleosome positioning by ATP-dependent chromatin remodelers that establish and maintain nucleosome-depleted regions (NDRs) near transcription start-sites. Conserved yeast RSC and ISW2 remodelers exert antagonistic effects on nucleosomes flanking NDRs, but the temporal dynamics of remodeler search, engagement and directional nucleosome mobilization for promoter accessibility are unknown. Using optical tweezers and 2-color single-particle imaging, we investigated the Brownian diffusion of RSC and ISW2 on free DNA and sparse nucleosome arrays. RSC and ISW2 rapidly scan DNA by one-dimensional hopping and sliding respectively, with dynamic collisions between remodelers followed by recoil or apparent co-diffusion. Static nucleosomes block remodeler diffusion resulting in remodeler recoil or sequestration. Remarkably, both RSC and ISW2 use ATP hydrolysis to translocate mono-nucleosomes processively at ~30 bp/sec for surprising distances on extended linear DNA. Processivity and opposing push-pull directionalities of nucleosome translocation shown by RSC and ISW2 shape the distinctive landscape of promoter chromatin.</p>
Data-Driven Identification and Analysis of Waiting Times in Business Processes: A Systematic Literature Review
<p>Supplementary Material for Systematic Literature Review titled "Data-Driven Identification and Analysis of Waiting Times in<br> Business Processes: A Systematic Literature Review"</p>
Data for article of validation of a two-stage process for polyhydroxyalkanoates production
<p>The information contained in this data section corresponds to the article titled "Microrespirometric validation of a two-stage process for polyhydroxyalkanoates production from peanut oil and propionate with Cupriavidus necator," published in The Open Chemical Engineering Journal. Three Excel files are attached as data, providing information on the figures related to the growth kinetics and the results of the respirometric experiments.</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.