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”
IBM DVS Gesture dataset pre-processed
<p>A pre-processed version of DVS gesture in npy format</p>
Regional estimates of gross primary production applying the process-based model 3D-CMCC-FEM vs. multiple datasets
<p>This repository contains the model 3D-CMCC-FEM v5.6 executable (Testolin et al.2023), model inputs and model outputs in the folder RUN_BASILICATA; scripts to prepare model inputs and perform model outputs post-processing in SCRIPTS; remote-sensing based data and forcing in DATA; tables and post-processed files in OUTPUT; figures in FIGURE, related to the manuscript entitled “Regional estimates of gross primary production applying the process-based model 3D-CMCC-FEM vs. multiple datasets”</p>
Icequake catalogues and velocity model for the publication: Array processing in cryoseismology
<p>Icequakes detected using array-based method and network-based method, associated with the publication: </p> <p>Hudson, T. S., Brisbourne, A. M., Kufner, S., Kendall, J., & Smith, M. (2023). Array processing in cryoseismology. Submitted to: <em>The Cryosphere</em>.</p> <p>For the network earthquake catalogue, t0 refers to the origin time of an icequake.</p> <p>For the array earthquake catalogue, t_P and t_S refer to the P and S wave arrival times of an icequake.</p> <p> </p> <p>Also included is a csv file containing the seismic velocity model used in the analysis.</p> <p> </p>
Supplementary Material (Process Mining for Pig Behavior)
<p>Supplementary material supporting publication</p>
A Free Verbalization Method of Evaluating Sound Design: The Effectiveness of Artificially Intelligent Natural Language Processing Methods and Tools
<p>"Robot" voice sound files. Seventeen sound files were recorded in four formats; raw human voiceover (VO), and three types of robot voice: vocoded voice 1 (“robo”), vocoded voice 2 with music (“kbd”), and a “beep” voice. Each was recorded as 44.1kHz, 24-bit wav files in a professional recording studio. VO was recorded by professional voice actor DB Cooper, who has been the robot voice for several video games, as well as the voice of the DEE BMW internal car AI voice system. Cooper recorded three versions of the emotes on a Sennheiser MKH-416. Professional sound designer pdx Drescher, an expert in robot<br> and interface sound design, created three sets of robot voices from<br> the original voice files. With guidance from one of the authors,<br> pdx was tasked with trying different approaches to turning the VO<br> samples into three different types of robot voice while attempting<br> to maintain the meaning of the original sounds as described in the<br> list above through preserving the prosody/melodic contour of the<br> original. The first set, robo, used some clips from one of pdx’s prior<br> robot voice projects and integrated them to approximate the emo-<br> tional intention of the VO. Clips were re-pitched, manipulated, and<br> modulated using ProTools plugins. For the kbd takes, VO sounds<br> were played into a Shure SM58 microphone. Vocoder patches mod-<br> ified the signal by voice formants, and the pitch was determined<br> by MIDI notes and pitch-bend controllers. Output of the synthe-<br> sizer was then edited with additional synth patches and effects (EQ,<br> modulation, etc.). We made particular use of a plugin called Envy<br> by Cargo Cult, which takes the volume, pitch, and EQ envelopes of<br> one sound (the original VO) and apply them to another sound. This<br> helped make the synth resemble the prosody of the original sound<br> to some degree. The beep sounds underwent a similar development<br> process as the robo takes, but with interface “bleeps and bloops”<br> derived from various sound effects libraries, including the Star Trek<br> LCARS soundset.</p> <p>The following sounds were recorded: 1. Warning calm (“Uh-oh”) 2. Warning alarm (“ah!”) 3. Wrong/<br> error (“rrrrr”) 4. Correct/good (“yay”) 5. Surprise (neutral) (“Oh!”) 6.<br> Surprise (good) (“Oh!”) 7. Surprise (bad) “(ohhh”) 8. Love/adoration<br> (“awww”) 9. Disgust (“ew”) 10. Contempt (“ech”) 11. Guilt (“hmmm”)<br> 12. Confused (“huh?”) 13. Laugh (“ha ha”) 14. Calculating (“hmmm”)<br> 15. Sigh 16. Giggle 17. Pain (“ow ")</p>
Modeling the nutritional value of thermally processed food products based on CFD simulations - Results of the Miniatura 6 NCN grant
<p>1. Description of the purpose of the scientific activity: The aim of the scientific activity was to optimize the heat treatment process of food products using Computational Fluid Dynamics (CFD) simulations and to assess the impact of this process on the nutritional value of the finished product. The following beef meat was selected for the study: strip beef, shin, entrecote, neck, leg, topside, topside, shoulder and brisket. The obtained results on the selection of heat treatment parameters, i.e. temperature, time, forced convection, allowed for the creation of a knowledge base on the basis of which a multi-factor optimization was carried out between the basic composition (the amount of: protein, fat, water, connective tissue and ash) and the content of conjugated linoleic acid (CLA) and vitamin E in beef. The aim and scope of the research has been achieved.</p> <p>2. Description of the implementation of the scientific activity: Experimental research was carried out at the Department of Food Technology and Design at the Warsaw University of Life Sciences. The raw material for the tests, i.e. beef meat from elements of different basic composition (protein, fat, connective tissue, ash, water): strip beef, rind entrecote, neck, leg, topside, topside, shoulder, brisket was purchased in three batches . The scope of the scientific activity included three stages:</p> <ul> <li>CFD simulation - computer simulation of heat treatment of beef characterized by a diverse basic composition and determination of the reduction of CLA and vitamin E content in various conditions of the thermal process - building a knowledge base,</li> <li>RSM optimization - using the CFD database of changes in the content of CLA and vitamin E, depending on the parameters of the thermal process, for optimization using the response surface method (RSM) - it allowed the selection of the best thermal treatment parameters ensuring the smallest losses of the above-mentioned bioactive ingredients,</li> <li>verification - laboratory tests were carried out using chromatographic techniques of vitamin E (HPLC - high-performance liquid chromatography) and CLA (GC - gas chromatography) content to confirm the predicted RSM results based on CFD simulation. Information on the mechanism of shaping the content of CLA and vitamin E in heat-treated beef allowed for the creation of a database that makes it possible to determine the optimal conditions for heat treatment of food products. The research was experimental, and the obtained results provided information on the mechanism of thermal decomposition depending on the parameters of the heat treatment process and the basic composition of food products. The scientific activity was used to develop a mechanism describing the relationship between the basic composition, method and parameters of heat treatment and the thermal stability of CLA and vitamin E in beef.</li> </ul> <p>3. Description of the effects of the implementation of the scientific activity:</p> <p>The study showed a significant effect of the basic composition of beef on changes in the content of vitamin E and CLA during heat treatment. The use of an innovative method of modeling and simulation of thermal processes with the use of CFD allowed for a precise analysis of changes in the content of the above-mentioned substances. components in meat samples of different basic composition. The analyzes carried out showed that the content of: protein, fat, tk. total, ash, water in individual elements of the beef carcass, i.e. strip beef, rib eye shank, neck, round, topside, topside, shoulder, brisket affects the temperature distribution in the entire volume of the raw material, which results in partial decomposition of vitamin E and CLA. Based on the developed experimental model, optimization was performed using the response surface method (RSM), thanks to which the best parameters of the heat treatment process using a convection steam oven were obtained. The optimization was carried out individually for each element differing in basic composition, and among the optimized process parameters were: processing temperature [℃], humidity inside the furnace chamber [%], process time [s] and fan speed ensuring forced convection of air and steam [RPM ]. The last, third stage of the research task was the verification of the optimization model with the results of laboratory analyses. The tests carried out using gas chromatography (GC) and high-performance liquid chromatography (HPLC) allowed to obtain the results of vitamin E and CLA content at a level consistent with those predicted on the basis of RSM models.</p>
Fig. 3 in Insights on the antiradical capacity and mechanism of phytocannabinoids: H-abstraction and electron transfer processes in physiological media and the influence of the acid-base equilibrium
Fig. 3. Acid-base equilibrium of phytocannabinoids in water at physiological pH (7.4).
Fig. 1 in Insights on the antiradical capacity and mechanism of phytocannabinoids: H-abstraction and electron transfer processes in physiological media and the influence of the acid-base equilibrium
Fig. 1. Molecular structure and atomic numbering of the investigated phytocannabinoids.
Fig. 2 in Characteristics of thermal processes in ant nests built under stones (Hymenoptera: Formicidae)
Fig. 2 – Schematic representation of the experimental setting: B: width of the stone; Hk: height of the stone; Hz: thickness of the soil layer under the stone.
Integrating Visual Aids to Enhance the Code Reviewer Selection Process Replication Package
<p>Modern Code Review (MCR) is an integral part of a software development strategy that accelerates product quality by identifying defects, code smells, and other harmful practices. However, assigning appropriate reviewers to evaluate changed code during the review process remains challenging. While automated tools for reviewer assignments have limited impact in practice, the process often relies on manual investigation of project histories to retrieve knowledge of team members and their activities. Therefore, in this study, we present an approach to automatically assemble developers' information and visualize it meaningfully, which helps to choose appropriate reviewers. First, we propose three metrics that measure developers' collaboration, reviewers' expertise, and reviewers' workload and visualize them through networks. Second, we perform a case study of three popular open-source projects, where we compute and visualize each developers' information according to the proposed metrics. Finally, we conducted two online surveys to assess the developers' perceptions of the proposed visual benefits. The results show that the proposed method can assist in identifying relevant reviewers and be immensely helpful to new developers. Additionally, survey respondents expressed reliance on the efficacy of the visual aids in workload balancing and reducing review time. </p>
Reversible image enhancement processing via hybrid quantum algorithms
<p> In order to solve the problems of pixel distortion, image clarity, and detail reduction during reversible image enhancement processing, a reversible image enhancement method with a hybrid quantum algorithm is proposed. Based on classical image processing technology, the algorithm first extracts the feature information of the original image and converts the classical image into a quantum image form by qubit encoding. Then the image enhancement is initially realized by Quantum Fourier transform. Finally, in order to avoid the loss and destruction of information, the Quantum Fourier inverse transform is used to reverse the processing of the image. Compared with the traditional image enhancement method, this method has better reversibility and fidelity and can take advantage of quantum parallel computing to improve image processing efficiency.</p>
Processed Data and Inversion Results for Constraining the Io Plasma Torus
<p>The processed and used data for constraining the plasma torus.</p> <p> </p> <p>FieldLines.txt are the mapped positions along the magnetic field lines calculated with the JRM33 model. The lines start at Io's orbit at 5.9 Jupiter Radii and are mapped towards the flattened Jupiter surface. The longitudinal resolution is 0.5°, resulting in 1440 total field lines, 720 for each the northern and the southern hemisphere. Therefore, the file contains of 1440 blocks, each introduced with the starting Easter System III longitude and the corresponding hemisphere. The block afterwards contains of 4 columns, three for the Cartesian position of the mapping and the last for the total field strength, which are formatted as</p> <p>X[RJ], Y[RJ], Z[RJ], B[nT]</p> <p> </p> <p>TravelTimesNorth.txt and TravelTimesSouth.txt contain the calculated travel times of the Alfven waves corresponding to the northern and southern Io Footprint (IFP), respectively. The travel times are calculated by using the observed positions of the IFP by Bonfond et al. (2017) and mapping along the magnetic field lines of the JRM33 model to Io's orbit. Then, the longitudinal distance to Io's position at the time of the observation is divided by Io's synodic orbital frequency. The file is formatted as</p> <p>Lon[°], Travel Time [s], Error [s]</p> <p>Lon is the system 3 eastern longitude of the footprint. Travel Time is the calculated travel time as described above and Error is the propagated uncertainty given by Bonfond et al. (2017)</p> <p> </p> <p>Dipole.txt and Multipole.txt are the CSV inversion results. For N = 10000 randomly chosen scale heights (between 0.4 and 1.6 Jupiter radii [RJ]) and peak densities (between 500 and 3500 particles per cm³), the resulting misfit for a torus centered at the dipole or multipole centrifugal equator has been calculated, respectively. The files have 10000 CSV lines which are formatted as</p> <p>Peak Density [1/cm³], Scale Height [RJ], Misfit</p> <p>Peak Density is the maximum particle density at the center of the torus and Scale Height is the scale height H of the torus with the density profile decreasing with distance z to the center of the torus corresponding to</p> <p><span class="math-tex">\(\rho = \rho_0 e^{-z^2 \over H^2}\)</span></p> <p> </p>
SEG process tested in rotary bed reactor
<p>Experimental results of temperature inside the rotary bed reactor and the composiiton analysis for both dolomite calcination and SEG process of olive pomace at 650°C</p>
Assessing the Interaction of Oceanic and Riverine Processes on Phytoplankton Dynamics in a Highly Dynamic Coastal Ecosystem of the East China Sea
<p>The dataset lists the data in all Figures.</p>
Preparatory Process in Advance of Runaway Fault Rupture through Fluid Injection observed in Laboratory Experiments using a Large Specimen of Sub-meter scale
<p>Fault slip is initiated by locally applied fluid pressure, and it can expand unstably over a wide area causing elastic waves having magnitudes that induce felt or destructive earthquakes. Thus, it is important to examine the unstable expansion of initial slips. However, it is hard to reproduce the process by general setup of laboratory experiment such as triaxial loading tests on cylindrical specimens with inclined faults. In this study, we prepared a cubic specimen of sub-meter scale, which was separated into two triangular prisms by a model fault. The specimen was subjected to bi-axial compressions with different magnitudes. A 2D array of strain gauges was embedded beneath the fault plane to measure the changes in shear strain with the fault slip driven by fluid injection. Based on the experimental results, we discussed the features of fault slips that lead to injection-induced earthquake. The dataset obtained by the experiments were presented in the current data repository.</p>
Fig. 4 in Analysis of Water-Soluble Proteins by Two-Dimensional Electrophoresis in the Encystment Process of Colpoda cucullus Nag-1 and Cytoskeletal Dynamics
Fig. 4. NIH image analyses of CBB-stained α-tubulin spots of gels (closed circles) separated by 2-D PAGE of water-insoluble fraction (So- game et al. 2014b), CBB-stained β-tubulin fragment spots of gels (p19 in Fig. 2, open circles) contained in water-soluble fraction, and total α-tubulin immunoblotting bands (open squares) (Fig. 3) of C. cucullus Nag-1. Ordinate indicates integrated optical density (IOD) reflecting relative protein amounts. Abscissa indicates the time lapse after onset of encystment induction.
Supplementary information to "Actual sources of life cycle impacts: elementary processes and flows causing environmental impacts for a typical Brazilian building"
<p>Electronic Supplementary Material with the underlying data of the manuscript entitled "Actual sources of life cycle impacts: elementary processes and flows causing environmental impacts for a typical Brazilian building", including:</p> <p>- A spreadsheet containing all the data used in the LCA of the analyzed building</p> <p>- A PDF file with an explanation of the process contribution function used in the analysis</p>
Data for article entitled 'Prediction in SVO and SOV languages: Processing and typological considerations', published in Linguistics
<p>see the publication for the description of the data and analysis</p>
Building an Architected Cyber Security Management Process Model Integrated with Maturity and Effectiveness Measurement
<p>The traditional approach to managing a cyber security program is to implement an Information Security Management System (ISMS), based on one or a combination of standards such as ISO 27001, COBIT, or the NIST Cyber Security Framework. The effectiveness of the program may then be assessed with annual audits. However, the ongoing success of cyber attacks through phishing, ransomware and other means as demonstrated through data breach reporting suggests that the current approach to managing the cyber security program still needs improvement. To address this issue, we present an architected process model for cyber security management which through its design enables measurement of both its process maturity and control effectiveness. The model comprises 6 strategic processes, 13 tactical processes and 21 operational processes. To verify the usefulness of this operating model, we tested it with a multinational company. The case study reveals that the proposed model can provide valuable and instructive insights for managing cyber security within an organization. By adopting the model, organizations can enhance cyber security assurance and identify pathways to increase the effectiveness and maturity of their cyber security program.</p>
Fig. 2 in A mesh network case study for digital audio signal processing in Smart Farm
Fig. 2. IoT node prototype.
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.