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.
306
datasets available to search
ShareScore release 0.7.1
Dataset results
306 results for “prototypes”
Look-Up Table of A Prototype of Reconfigurable Intelligent Surface with Continuous Control of the Reflection Phase
<p>Tabulated values (look-up table) of the magnitude (dB) and phase (degres) of the unit-cell versus voltage, experimentally characterized, for a Reconfigurable Intelligent Surface prototype based on varactors described in :</p> <p>R. Fara, P. Ratajczak, D. -T. Phan-Huy, A. Ourir, M. Di Renzo and J. de Rosny, "A Prototype of Reconfigurable Intelligent Surface with Continuous Control of the Reflection Phase," in IEEE Wireless Communications, vol. 29, no. 1, pp. 70-77, February 2022, doi: 10.1109/MWC.007.00345.</p> <p>also accessible here: https://arxiv.org/ftp/arxiv/papers/2105/2105.11862.pdf</p>
TephraDB_Prototype_ver1.4
<p>This is the updated tephra fall distribution map dataset for assessing tephra fall hazards (thickness in mm) in Japan. This database was created using the database of Suto et al. (2007) (https://www.jstage.jst.go.jp/article/bullgsj/58/9-10/58_261/_article/-char/ja/) with ArcGIS.</p> <p>This version is a revised version of 1.3. An error in thickness data was found in Unzen_1991_6_8 in ver 1.2 and 1.3. Please use this version instead of older versions. We have confirmed that this error does not affect the discussion in Uesawa et al. (2022).</p> <p>The exact method is available in Uesawa et al. (2022) <a href="https://appliedvolc.biomedcentral.com/articles/10.1186/s13617-022-00126-x">appliedvolc.biomedcentral.com/articles/10.1186/s13617-022-00126-x</a>. Please find the scripts to create the hazard curve at https://github.com/s-uesawa/Prototype-TephraDB-Japan.</p> <p>The coordinate ranges handled in this database are as follows:<br>125E/150E/25N/47N (JGD2000)</p> <p>Acknowledgments: Comments from Dr. K. Komura@CRIEPI were helpful.</p>
Jacdac: Service-based Prototyping of Embedded Systems (PLDI 2024 Artifact Evaluation)
<p>This artifact allows others to reproduce and explore the results seen in "Jacdac: Service-based Prototyping of Embedded Systems". The artifact contains a prebuilt docker image and the Dockerfile source used to produce the prebuilt docker image. Evaluators should follow the README contained in this artifact for complete instruction.</p>
Using the traditional microscope for mineral grain orientation determination: A prototype image analysis pipeline for optic-axis mapping (POAM). Original dataset.
<p>The data repository contains data obtained with the microscope Nikon Eclipse LV100ND that was stitched with <a href="https://imagej.net/plugins/trakem2/">TrakEM2 software</a>. The files allow reproducing the results obtained and plot in <a href="https://doi.org/10.1111/jmi.13284">Acevedo et al. (2024)</a> <strong>"Using the traditional microscope for mineral grain orientation determination: A prototype image analysis pipeline for optic-axis mapping (POAM)."</strong> by Acevedo Zamora, M. A., Schrank, C. E., & Kamber, B. S.</p> <p>The prototype uses MatLab scripts (<a href="https://github.com/marcoaaz/AcevedoEtAl._2024a_POAM">AcevedoEtAl._2024a_POAM</a>) that were documented in the paper Supplementary Material 1. The metadata can be found in Supplementary Material 3 and follows the structure of this data repository. The user needs downloading and changing the paths to run the same scripts and reproduce the results.</p> <p>Note: After download, unzip and merge (copy-paste) the folders (parts 1, 2 and 3). Before merging, the containing folder should be re-named to 'paper 2_datasets' to match exactly the MatLab scripts and reproduce our work.</p> <p>The remaining questions should be addressed to Marco Acevedo (maaz.geologia@gmail.com ; marco.acevedozamora@qut.edu.au)</p> <p>Thanks.</p>
Experimental Assessment of the Thermal Strain Distribution in Nb3Sn React & Wind Conductor Prototype for European DEMO
<p>The measured data, processed data and metadata related to the publication "Experimental Assessment of the Thermal Strain Distribution in Nb3Sn React & Wind Conductor Prototype for European DEMO" (doi: 10.1109/TASC.2022.3141699) are uploaded. The raw data correspond to susceptibility measurement as a function of temperature. Out of this measurement, strand distribution in the superconducting cable is determined by analysis.</p> <p>This work was supported by the Swiss National Science Foundation (SNF) under contract number 200021_179134.</p>
Validation data for a Microwave Exposure Prototype for In Vitro Growth Inhibition of Plasmodium falciparum
<p>The dataset presented in this article revolves around the validation of an innovative irradiation device designed for <em>in vitro</em> malaria tests. The motivation stems from the escalating need for new malaria treatments due to the high mortality rates, the absence of an effective vaccine, and rising antimalarial drug resistance. The theoretical background for generating this data is based on prior studies indicating that microwave exposure can non-thermally kill malaria parasites by interacting with hemozoin crystals within infected erythrocytes, a process in which healthy cells remain unaffected, probably due to the absence of these crystals. This dataset aims to provide a thorough validation of the device's biological and electrical efficacy, by providing models to simulate various parameters such as the magnetic and electric field strength, and experimentally validate the biological effects on parasite viability under controlled microwave exposure. This contribution is pivotal for advancing research in electromagnetic therapy as a potential treatment for malaria, providing a foundational dataset for future experimental and theoretical work.</p>
Preliminary data collected by 2 prototype Surface Velocity Platform drifters with Barometer and Reference Sensor for Temperature (SVP-BRST)
<p>The SVP-BRST drifter was developed to serve calibration and validation of Sentinel satellite SST retrievals. Two prototypes were deployed in the Mediterranean Sea end of April 2018. Preliminary data collected then until 11 June 2018 are published in this dataset. The drifters were developed and deployed under funding from the European Union's Copernicus Programme. The data are transmitted from the buoy to shore using data format #091 (see References).</p>
FT35 Dupré prototype 0-key fagottino: basic measurements, photos
<p> Dataset of FT35 Dupré prototype 0-key fagottino containing basic measurements and photos.</p> <p> </p>
Project STORM: monitoring the masonry of Hall I, at the Baths of Diocletian, with a prototype based on Arduino UNO. Dataset 2017 - 2019
<p>This dataset for monitoring the masonry of Aula I at the Baths of Diocletian (Rome) was created by the University of Tuscia.<br> The measurements are carried out with a prototype based on Arduino UNO, have been investigated:</p> <ul> <li>Temperature and Relative Humidity of the internal environment and Temperature and Relative Humidity of contact on the masonry (with two sensors DHT22 AM2302);</li> <li>Acceleration along the three spatial axes (X, Y and Z), Pitch Index and Roll Index (with Gy 521 sensor);</li> <li>Surface pressure for the movement of a lesion (with FlexiForxe sensor).</li> </ul> <p>The data produced by the sensors were acquired and sent to the computer which automatically saved them every 10 seconds. The dataset is composed of the data obtained from 2017 to 2019 and separated by month in 11 sheets. In total about 40 million values were recorded, used to understand the slow hazard phenomena present on the monitored masonry.</p> <p>STORM (Safeguarding Cultural Heritage through Technical and Organisational Resources Management) is a HORIZON 2020 funded European Union Cultural Heritage project that aims at the protection of Cultural Heritage through a combination of technical and organizational resources (http://www.storm-project.eu).</p>
The ID+Stage Prototype
<p>This video shows function and design of the ID+Stage Prototype. For further information have a look at the project website: <a href="http://www.idpluslab.de">www.idpluslab.de</a></p>
Usability Testing Data for Web Application Prototype: Enhancing Efficiency and Transparency in Ghana's Rental Housing Market
<p><span>The dataset includes both quantitative and qualitative responses from participants who tested the web application prototype designed to enhance decision-making in Ghana's rental housing market. The testing focused on evaluating the user interface, ease of use, satisfaction levels, and the effectiveness of key functionalities.</span></p>
DRALOD D1.3 Results of performance testing of the prototype of energy recovery system data set
<p>Data set for delivery D1.3 Results of performance testing of the prototype of energy recovery system </p>
SCoRe- Prototyp 2 - Erprobung des Forschungsszenarios "Urbane Grünflächen" – UGF-1
<p>Dieses Datenset enthält Materialien (Videos, Protokolle und Fallbeschreibungen) aus der ersten prototypischen Durchführung des Forschungsszenarios "Urbane Grünflächen" im Teilprojekt <a href="http://www.360total.de/score/">SCoRe-VideoLearning</a> des <a href="https://scoreforschung.com/ueber/">Score-Projektes</a> ..</p> <p>Hierin finden sich drei exemplarische Fälle von Studierenden, welche sich videografisch forschend mit urbanen Grünflächen auseinandersetzten und dabei die Merkmale der Grünfläche hinsichtlich urbanen Nutzungsmöglichkeiten und der biologischen Vielfalt untersuchten. Dazu wurden die Grünflächen zunächst ausgewählt und in Bezug auf verschiedene vorgegebene Ordnungskriterien beschrieben und bewertet (Fallbeschreibung). Zur Produktion der Videoforschungsdaten - als Basismaterial der empirischen Untersuchung - waren die Studierenden angehalten ein Produktionsprotokoll während aller drei Produktionsphasen der Videografie (Vorproduktion, Produktion im Feld sowie Nachproduktion) auszufüllen und somit für sich sowie andere analysierende Studierende die Entscheidungsprozesse zur Gestaltung der Videoforschungsdaten zu explizieren und zu dokumentieren.. Diese Protokolle bilden entsprechend die Grundlagen für Gütekriterien qualitativer Forschungsdaten: Transparenz und intersubjektive Nachvollziehbarkeit. </p>
Electron Energy Regression in High-Granularity Calorimeter Prototype
<p>The dataset consists of simulations of calibrated reconstructed hits produced by a positron passing through the HGCAL test beam prototype. For the simulations, Monte Carlo method is used to produce the positrons with energy ranging from 20 to 350 GeV. The dataset contains the coordinates of the calibrated reconstructed hits in the prototype along with the calibrated energy in units of MIP. The HDF5 files can be extracted from the gzip files.</p>
Research data for Critical review of heat pump prototype operation and required modications
<p>In this dataset, the data of the first experimental test campaign of the CO2-ice heat pump is shared. The report, which analyzes the data and makes the necessary explanations, has already been shared as a "Critical review of heat pump prototype operation and required modifications (Deliverable: D5.5)".</p>
OMCF questionnaires - Surveying volcanic crises exercises: From open-question questionnaires to a prototype checklist
<p>English / French / Italian / Spanish versions</p> <p>Volcanic crisis exercises are usually run to test response capabilities, communication protocols, and decision-making procedures by those agencies, such as volcano observatories and/or Civil Protection authorities, with responsibilities to cope with scenarios of volcanic unrest with inherent uncertainty. During the last decades, the use of questionnaires has been increased to evaluate people’s knowledge on volcanic hazards and their perception of risk, which could affect their preparedness to respond to emergency measures plans. In this paper, we show the study carried out within the EUROVOLC project in extracting information on the experience gained during volcanic-crisis exercises by the project’s participants and beyond. In particular, we first distributed an open-question questionnaire survey within the EUROVOLC-project community. Based on the results obtained, we developed a more user-friendly online multi-choice questionnaire that we submitted to different volcanological communities within and outside the project. From the answers to the on-line questionnaire, we extracted a prototype checklist for guiding those who design such exercises in the future. Here, we give details on the lessons learnt from this study, in particular about the need to increase training activities, to improve external (between players and general public/media) communication tools, equipment and protocols and to better define decision-makers needs. Our preliminary results confirm that this type of survey is a very useful tool for gathering information on participants' experience and knowledge, and to understand which data and information may be useful when designing exercises for scientists, emergency managers and others involved in a volcanic crisis.</p> <p> </p>
Machine Learning Features from Proton Therapy Treatment Simulations with the Bergen DTC Prototype for Range Verification
<p>Extracted features from the simulation data found at DOI: <a href="https://doi.org/10.5281/zenodo.8192778">10.5281/zenodo.8192778</a></p> <p>Each simulation constitutes a single data sample. The following features were extracted.</p> <p>Detector features:</p> <ul> <li>Total number of active pixels</li> <li>Total number of clusters (hits)</li> <li>Number of clusters over threshold (5, 20 pixels)</li> <li>Mean and standard deviation of cluster sizes</li> <li>The number of clusters of any given size (1–72)</li> <li>Mean and standard deviation of x- and y-coordinates over each layer (0–42), and the entire detector</li> <li>Number of active pixels in each layer (0–42)</li> <li>Number of clusters (hits) in each layer (0–42)</li> <li>Total energy deposition of the hits in each layer (0–42)</li> </ul> <p>Higher-level detector features, i.e., function fits (linear, cubic, exponential) with their mean squared residuals over the following quantities:</p> <ul> <li>Active pixels over layer</li> <li>Number of clusters over layer</li> <li>Total deposited energy over layer</li> </ul> <p>201 RSP features extracted from the beam spot, the phantom rotation, and its 3D RSP image.</p> <p>Two datasets are included in two separate archive files:</p> <ul> <li><strong>features.tar.gz:</strong> 715-HN phantom by CIRS Inc. (Norfolk, VA, United States), digitized by Giacometti et al. (2017).</li> <li><strong>features-vhf.tar.gz:</strong> The Visible Human Female (VHF) Head phantom (Ackermann et al. 1995), courtesy of the U.S. National Library of Medicine, resampled to 1 mm voxels and scaled down to 80% size in the simulation.</li> </ul> <p>After extracting features, some outliers were removed from the datasets: 14 samples for 715-HN and 3 samples for VHF. The rest of the samples were split into train (70%), validation (10%), and test (20%) sets, for both phantoms separately, which can be found in separate CSV files: features_train.csv, features_val.csv, features_test.csv (715-HN) and features-vhf_train.csv, features-vhf_val.csv, features-vhf_test.csv (VHF).</p> <p>The last file (features_shifted_test.csv (715-HN) and features-vhf_shifted_test.csv (VHF)) contains 40 additional samples for each data point in the respective test set, representing a simulated lateral shift between 1 mm and 10 mm in 1 mm intervals in all directions along the x- and y-axis of the beam.</p>
Proton Therapy Treatment Simulations with the Bergen DTC Prototype for Range Verification
<p>This dataset contains proton therapy Monte Carlo simulations using GATE (Jan et al. 2004) version 9.2 and Geant4 (Agostinelli et al. 2003; Allison et al. 2006; Allison et al. 2016) version 11.0.0. The treatment targets are the pediatric head phantom 715-HN by CIRS Inc. (Norfolk, VA, United States), digitized by Giacometti et al. (2017), and The Visible Human Female (VHF) head, courtesy of the U.S. National Library of Medicine, resampled to 1 mm voxels and scaled down to 80%. Distal to the phantom, is a simplified geometry of the digital tracking calorimeter designed by the <a href="https://www.uib.no/en/ift/142356/medical-physics-bergen-pct-project">Bergen pCT collaboration</a> for proton computed tomography (Alme et al. 2020).</p> <ul> <li><strong>treatment_simulations.tar.gz:</strong> 36258 simulations with the 715-HN phantom</li> <li><strong>treatment_simulations_vhf.tar.gz:</strong> 35673 simulations with the VHF phantom</li> </ul> <p>Each simulation is a single pencil beam with <span class="math-tex">\(10^7\)</span> primary protons. To determine valid spots to use, probing simulations with <span class="math-tex">\(10^5\)</span> primaries were conducted, where the beam position, energy, and phantom rotation were varied: 10 mm interval in the xy-plane for the beam position, 3 mm water range interval for the beam energy, and 30° rotations of the phantom. If no primary was found in the detecter after the probing simulation, it is a valid spot for the dataset.</p> <p>Resulting hit files, containing simulated detector readout, can be found in the archive files for the respective phantom. Each simulation is accompanied by a metafile in JSON format, specifying all parameters used to produce the output. E.g., beam position and energy can be found in "parameters" -> "beam_spot_x", "beam_spot_y", "beam_energy" and the phantom rotation can be found in "parameters" -> "phantom_rotation_angle".</p> <p>Simulation data has been pre-processed with two steps. First, hits for the same track in the same layer are binned together into a single entry by averaging the positions (posX, posY, posZ) and summing the energy depositions (edep). Second, the energy deposition values are discretized into a cluster size and back into MeV, to represent the energy resolution of the ALPIDE chip (Alme et al. 2020). Clusters of size 0 are removed. Additionally, some of the unused GATE output columns are removed and a column specifying the detector layer is created through the formula layer = 2*volumeID[2] + volumeID[3]. Details about the meaning of the other output columns can be found in the <a href="https://opengate.readthedocs.io/en/latest/data_output_management.html">GATE documentation</a>.</p>
Pion Energy Regression in High-Granularity Calorimeter Prototype
<p>The dataset consists of simulations of calibrated reconstructed hits produced by a pion passing through the HGCAL test beam prototype. For the simulations, Monte Carlo method is used to produce the pions with energy ranging from 10 to as high as 500 GeV. The dataset contains the coordinates of the calibrated reconstructed hits in the prototype along with the calibrated energy in units of MIP. The HDF5 files can be extracted from the gzip files.</p>
Decomissioned Site: Arthur Brook's (D01 ARTH) Legacy and Prototype Aquatic invertebrates (repackaging of occurrences published by the NEON Biorepository Data Portal)
This collection contains legacy and prototype NEON aquatic invertebrates from the decommissioned Arthur Brook's site in Worcester County, Massachusets. These samples and specimens were collected using NEON protocol NEON.DP1.20120 and are summarized in NEON Prototype dataset e7d152a1-1181-4c7e-ac75-ae707ffc7299. This data is available here.
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.