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1,063 results for “Search”
The optimization of a jet turbojet engine by PSO and searching algorithms
<p>The turbojet engine operates on the ideal Brayton cycle (gas turbine) and consists of six main parts: diffusers, compressors, combustion chambers, turbines, afterburners and nozzles. Using computer code writing in MATLAB software environment, exergy analysis on all selected turbojet engine components, exergy analysis on J85-GE-21 turbojet engine for selective height of 10008000 meters above sea level at speeds of 200 m/s and temperatures of 10, 20 and 40 ° C have been provided and then, according to the system functions, the system is optimized based on the PSO method. For the purpose of optimization, variables of Mach number, efficiency of the compressor, turbine, nozzle and compressor pressure ratio are considered in the range of 0.6 to 1.4, 0.8 to 0.95, 0.8 to 0.95 and 7 to 10, respectively. The highest exergy efficiency of different parts of the engine at sea level with an inlet air velocity of 200 m/s corresponds to a diffuser with 73.1%. Then, the nozzle and combustion chamber are respectively 68.6% and 51.5%. The lowest exergy efficiency is related to compressor with 4%. After that, the afterburner is ranked second with 11.6%. Also, the values of entropy produced and the efficiency of the second law before optimization were 1176.99 and 479 w/k respectively and the same values after optimization were 1129 and 51.4 w/k respectively which is identified. After the optimization process, the amount of entropy produced is reduced and the efficiency of the second law of thermodynamics has increased.<br> </p>
Dataset for article 'How users' knowledge of advertisements influences their viewing and selection behaviour in search engines'
<p>This study examines how users’ understanding of search-based advertising influences search results viewing behaviour the PC and the smartphone. To investigate this, we used a mix of methods consisting of interview, eye-tracking experiment and questionnaire with n=100 subjects. We show that participants with a low level of knowledge on search advertising are more likely to click on ads than subjects with a high level of knowledge. Moreover, subjects with little knowledge show less willingness to scroll down to the organic results. Regarding the device, there are significant differences in viewing behaviour. These can be attributed to the influence of the direct visibility of search results on both devices tested. We recommend, depending on the device, that advertisers ensure their ads appear in the instantly visible area ("above the fold"). Future studies should investigate the motivations of searchers when clicking on ads.</p>
Google search trends for different vaccines from 1st June 2014 to 31st May 2019
<p>This is "Additional file" for the manuscript "Global search trends on common vaccine-related information in English on the internet"</p>
Search Strategies for extending BowelScreen to those aged 50 to 54 years: clinical effectiveness and harms
<p>The dataset includes the complete, reproducible search strategies for all bibliographic databases searched during this project. The search strategies were designed to answer the following research question: </p> <p><span>What is the clinical effectiveness of colorectal cancer screening with a starting age of 50 compared to a starting age of 55?</span></p>
Data mining antibody sequences for database searching in bottom-up proteomics
<p>Mass spectrometry (MS)-based proteomics is a powerful method for identifying and quantifying antibodies. Among the various MS approaches, bottom-up proteomics is especially effective for analyzing thousands of antibodies in complex mixtures. In this method, proteins are enzymatically digested into smaller peptides, typically using the protease trypsin, which are then analyzed via mass spectrometry. These peptides are matched to sequences in standard databases like UniProt or NCBI-RefSeq for identification.</p> <p>However, a major limitation of this approach is the absence of comprehensive disease-specific antibody databases. Current databases, such as UniProt, include only a fraction of the antibody sequences present in the human body. For instance, as of January 2024, UniProt contains just 38,800 immunoglobulin sequences, far short of the billions of antibodies the human immune system can produce. As a result, relying on such limited databases can lead to under-detection of antibodies, particularly those associated with specific diseases. Expanding antibody databases with disease-specific sequences is crucial for improving the accuracy of MS-based proteomics in identifying antibodies relevant to human health.</p> <p>Recently, through next-generation sequencing of antibody gene repertoires, it has become possible to obtain billions of antibody sequences (in amino acid format) by annotating, translating, and numbering antibody gene sequences. These large numbers of sequences are now available in public databases such as the <a href="https://opig.stats.ox.ac.uk/webapps/oas/" rel="nofollow">Observed Antibody Space</a>. We hypothesize that using these theoretical antibody sequences as new databases for bottom-up proteomics could address the current lack of antibody coverage in standard databases.</p> <p>We developed a workflow to create disease-specific antibody peptide databases for bottom-up proteomics. The workflow details are available on <a href="https://github.com/trinhxt/SDU_Immunoinformatics">GitHub</a>. The database and metadata files generated by this workflow are stored in this Zenodo dataset, and they are used in DAT-DB — a web application that allows researchers to obtain FASTA files of disease-specific antibody peptides for direct use in bottom-up proteomics (see <a href="https://trinhxt.shinyapps.io/DAT-DB/">Demo version</a>).</p> <p>Each database file in this dataset is in <em>.duckdb</em> format and contains tables with 10 columns: Sequence, Filename, Patient, BSource, BType, Isotype, N_patient, N_antibody, Length_aa, and CDR3. The "<strong>Sequence</strong>" column contains tryptic peptides. "<strong>Filename</strong>" is the file where the data was collected. "<strong>Patient</strong>" refers to the patient number as listed in <em>metadata2.csv</em>. "<strong>BSource</strong>" refers to the B-cells' source, and "<strong>BType</strong>" refers to the type of B-cells. "<strong>Isotype</strong>" specifies the antibody isotype (IgA, IgD, IgE, IgG, IgM, or Bulk). "<strong>N_patient</strong>" indicates the number of patients having this peptide, and "<strong>N_antibody</strong>" specifies the number of antibodies containing this peptide. "<strong>Length_aa</strong>" indicates the number of amino acids in the peptide, while "<strong>CDR3</strong>" shows whether the peptide is found in the CDR3 region.</p> <p>The file <em>metadata1.csv</em> contains information about each database file, while <em>metadata2.csv</em> provides details about the sources of the collected antibodies.</p>
An Experimental Dataset for Search and Rescue Operations in Avalanche Scenarios Based on LoRa Technology
<div><strong>Overview</strong>:</div> <div>The dataset contains measurements of Received Signal Strength Indicator (RSSI) and Signal-to-Noise Ratio (SNR) collected from Long-Range (LoRa) devices in avalanche Search and Rescue (SAR) scenarios. Data were collected on a plateau located in Col de Mez (Falcade, Italy) at 1870 m in the Italian Dolomites, at two different times of the year: March and April 2024. The depth and conditions of the snow are different: in March, the snow is mostly dry and over one meter deep, while in April, the snow is wetter, with a greater presence of liquid water, and approximately 55 centimeters deep.</div> <div> </div> <div>The dataset includes three test typologies:</div> <div> <ol> <li>Cross test: 1 buried transmitter, at different depths, and 4 receivers on a tripod, positioned at 10 different distances from the burial point along 4 orientations: North, South, East, West. Distances are: 0.6 m, 1.2 m, 1.8 m, 3 m, 5 m, 10 m, 20 m, 30 m, 40 m, 50 m.</li> <li>Maximum Distance test: 1 buried transmitter and 1 receiver, held in hand and moved away from the burial point until the signal is completely lost. The receiver stops periodically, collecting 2 minutes data in specific markers.</li> <li>Drone Flyover test: 1 buried transmitter and 1 receiver mounted on the bottom of a quadcopter professional drone. The drone stands on 121 measurement points, creating a precise grid covering an area of 100 square meters, with the burial location at the center.</li> </ol> </div> <div>All the tests include precise Ground Truth (GT) annotations, indicating the exact positions of the receivers and the burial depth of the transmitter. The dataset is organized in three folders, one for each test: cross, max_dist and drone. In a separate folder, the snow profiles for the two data collection periods, march and april 2024, are also included, according to the AINEVA Model 4.</div> <div> </div> <div>The dataset aims to assess the ability to locate a victim in an avalanche scenario. The collected data allow for the evaluation of the quality of the LoRa signal in various environmental conditions, as well as the snow depth and snowpack profile. By using precise Ground Truth annotations, it is possible to assess the potential performance of a localization system.</div> <div> </div> <div><strong>How to use the dataset</strong>:</div> <div>Please, read the README file detailing the dataset's format and the data collection campaign. In summary, collected data include:</div> <div> </div> <div>1. Cross test:</div> <div> <ul> <li>timestamp</li> <li>rssi</li> <li>snr</li> <li>rx_pos</li> <li>distance</li> <li>depth</li> <li>polarization</li> </ul> </div> <div>2. Maximum Distance test:</div> <div> <ul> <li>timestamp</li> <li>rssi</li> <li>snr</li> <li>depth</li> <li>id_marker</li> <li>longitude</li> <li>latitude</li> </ul> </div> <div>3. Drone Flyover test:</div> <div> <ul> <li>timestamp</li> <li>rssi</li> <li>snr</li> <li>longitude</li> <li>latitude</li> <li>x</li> <li>y</li> <li>depth</li> </ul> </div> <div><strong>How to cite this dataset</strong>:</div> <div>- DOI number of this datsaset: 10.5281/zenodo.12750580</div> <div>- M. Girolami, F. Mavilia, A. Berton, G. Marrocco and G. Maria Bianco, "An Experimental Dataset for Search and Rescue Operations in Avalanche Scenarios Based on LoRa Technology," in <em>IEEE Access</em>, vol. 12, pp. 171015-171035, 2024, doi: 10.1109/ACCESS.2024.3497654</div>
Epistemic Insight Search Engine
<p>Prototype search engine linked to GenAI that encourages users to explore how different disciplines approach a question</p>
In search of the role of three-finger starfish proteins
<p>1) Proteomics data (search (*.group), peaks (*.mgf), and result (*.mzid) data files according to PRIDE guidelines ) in separate ZIP-archive</p> <p>2) List of protein sequences of LU-domains of TFPs identified in the A. rubens genome in FASTA format (LU_arubens.fasta)</p> <p>3) Protein sequences of LU-domains of human Ly6/uPar proteins which were taken for comparison with A. rubens LU-domains in FASTA format (LU_human.fasta)</p>
Data from: Genome-wide search for quantitative trait loci controlling important plant and flower traits in petunia using an interspecific recombinant inbred population of Petunia axillaris and Petunia exserta
A major bottleneck in plant breeding has been the much limited genetic base and much reduced genetic diversity in domesticated, cultivated germplasm. Identification and utilization of favorable gene loci or alleles from wild or progenitor species can serve as an effective approach to increasing genetic diversity and breaking this bottleneck in plant breeding. This study was conducted to identify quantitative trait loci (QTL) in wild or progenitor petunia species that can be used to improve important horticultural traits in garden petunia. An F7 recombinant inbred population derived between Petunia axillaris and P. exserta was phenotyped for plant height, plant spread, plant size, flower counts, flower diameter, flower length, and days to anthesis, in Florida in two consecutive years. Transgressive segregation was observed for all seven traits in both years. The broad-sense heritability estimates for the traits ranged from 0.20 (days to anthesis) to 0.62 (flower length). A genome-wide genetic linkage map consisting 368 single nucleotide polymorphism bins and extending over 277 cM was searched to identify QTL for these traits. Nineteen QTL were identified and localized to five linkage groups. Eleven of the loci were identified consistently in both years; several loci explained up to 34.0% and 24.1% of the phenotypic variance for flower length and flower diameter, respectively. Multiple loci controlling different traits are co-localized in four intervals in four linkage groups. These intervals contain desirable alleles that can be introgressed into commercial petunia germplasm to expand the genetic base and improve plant performance and flower characteristics in petunia.
Searching for deep-seated thrust faults on the moon
<p class="Abstract">The lunar maria are large expanses of basalt that infill antecedent impact basins and show evidence for post-emplacement deformation. Landforms within many of these basins suggest a period of compressive tectonics, although the mechanism for their formation remains an open question. Previous work for Mare Crisium demonstrated that basin-circumferential wrinkle ridges, which typically demarcate the inner edge of an annulus of elevated terrain, are the result of deep-seated thrust faults that preferentially form along the boundary of an elevated, superisostatic portion of mantle and a thick, subisostatic collar of crustal material. Here, we show that a similar fault architecture exists for several other mascon-bearing basins, including Maria Serenititis, Nectaris, Moscoviense, and, to a lesser degree, Humorum and Imbrium. These deeply penetrating basin-circumferential thrust faults, as for Mare Crisium, form a (partial) outward-dipping ring-fault system that bounds the elevated mantle plug beneath each basin as a geometric consequence of mascon evolution. If this geometric arrangement is unique to the Moon, then some characteristic(s) of lunar mascon evolution enables the formation of such mascon-bounding faults. Despite the ubiquitous nature of mascon-bound thrust ring faults at several lunar basins, the prevalence of such structures at mascon basins on other terrestrial worlds remains an open question.</p>
Target search and inspection strategies in haptic search
<p>Haptic search is a common everyday task, usually consisting of two processes: target search and target analysis. During target search we need to know where our fingers are in space, remember the already completed path and the outline of the remaining space. During target analysis we need to understand whether the detected potential target is the desired one. Here we characterized dynamics of exploratory movements in these two processes. In our experiments participants searched for a particular configuration of symbols on a rectangular tactile display. We observed that participants preferentially moved the hand parallel to the edges of the tactile display during target<br> search, which possibly eased orientation within the search space. After a potential target was detected by any of the fingers, there was higher probability that subsequent exploration was performed by the index or the middle finger. At the same time, these fingers dramatically slowed down. Being in contact with the potential target, the index and the middle finger moved within a smaller area than the other fingers, which rather seemed to move away to leave them space. These results suggest that the middle and the index finger are specialized for fine analysis in haptic search.</p> <p> </p> <p>The zip file contains all data relative to the publication. The structure of the data of all experiments is described in the README file.</p>
R code and dataset to "Monetizing Spillover Effects in the Creative Industries: the Impact of Live Music Performances on Youtube Searches"
<p>Content:</p> <ol> <li>The script<strong> main_script.R</strong> includes code to run a regression discontinuity (RD) design and validation and falsification of estimated results</li> <li>The folder <strong>data</strong> contains two files: <ol> <li>bands_2016_2019.csv: a dataset of performers with additional information for each one.</li> <li>festivals_2016_2019.csv: a dataset of video search activity (as retrieved from Google Trends) for performers in file bands_2016_2019.csv</li> </ol> </li> <li>The folder <strong>source</strong> contains two additional R scripts: <ol> <li>data_preparation.R: generates the long dataset used to estimate RD effects</li> <li>status_simulation.R: randomly assigns treattment status to performers and estimates RD effects. Note this may take a long time to run. Parallel code is used: the number of cores has been set to 4. </li> </ol> </li> <li>The folder simulation_results contains simulated data after running the script status_simulation.R.</li> </ol>
Figure 9 in In search of the true Tydeus (Acari, Tydeidae)
Figure 9. Dorsal view of Tydeus spathulatus. Scale bar: 80 Mm.
Figure 7 in In search of the true Tydeus (Acari, Tydeidae)
Figure 7. Dorsal view of Tydeus croceus. Scale bar: 80 Mm.
In search of Peter Bearth's whiteschist: Jägerhorn peak, Piedmont, Italy
<p>This database contains all data in relation to the work "In search of Peter Bearth’s whiteschist: Jägerhorn peak, Piedmont, Italy", which is soon to be submitted as a short communication letter in the Swiss Journal of Geoscience. This is a chapter of the Ph.D. thesis "Deciphering the tectono-metamorphic evolution of the Monte Rosa nappe: a combined petrological, structural and numerical modelling study".</p> <p>Data includes:</p> <p>- Fieldwork data (structural measurements, photographs, maps, sample descriptions)</p> <p>- Photomicrographs</p> <p>- Mineral descriptions</p> <p>- Scanning Electron Microscopy (SEM) images and data</p> <p>- Electron probe microanalysis (EPMA) raw data</p> <p>- Manuscript and figure drafts</p>
The SHERLOCK PIPEline: Searching for Hints of Exoplanets fRom Lightcurves Of spaCe-based seeKers
<p>The arrival of space missions such as Kepler/K2 and TESS has revolutionized exoplanets' detection, producing a vast amount of data that scientists need to analyze. This situation will keep increasing shortly thanks to the ESA PLATO mission, mainly devoted to finding Earth-like planets orbiting Sun-like stars, which will be launched in 2025-2026 (Rauer et al. 2014). This poster presents SHERLOCK, a robust and easy-to-use end-to-end pipeline to search for planet candidates, vet signals, perform a statistical validation, bayesian fit, and compute observational windows from ground-based facilities to trigger a follow-up campaign. All these steps are executed with just a few lines of code, which makes SHERLOCK an optimal ready-to-use code for any planetary search program.</p>
Transparency in Keyword Faceted Search: a dataset of Google Shopping html pages
<p>This dataset contains a collection of around 2,000 HTML pages: these web pages contain the search results obtained in return to queries for different products, searched by a set of synthetic users surfing Google Shopping (US version) from different locations, in July, 2016.</p> <p>Each file in the collection has a name where there is indicated the location from where the search has been done, the userID, and the searched product: <em>no_email_LOCATION_USERID.PRODUCT.shopping_testing.#.html</em></p> <p>The locations are Philippines (PHI), United States (US), India (IN). The userIDs: 26 to 30 for users searching from Philippines, 1 to 5 from US, 11 to 15 from India.</p> <p>Products have been choice following 130 keywords (e.g., MP3 player, MP4 Watch, Personal organizer, Television, etc.).</p> <p>In the following, we describe how the search results have been collected.</p> <p>Each user has a fresh profile. The creation of a new profile corresponds to launch a new, isolated, web browser client instance and open the Google Shopping US web page.</p> <p>To mimic real users, the synthetic users can browse, scroll pages, stay on a page, and click on links.</p> <p>A fully-fledged web browser is used to get the correct desktop version of the website under investigation. This is because websites could be designed to behave according to user agents, as witnessed by the differences between the mobile and desktop versions of the same website.</p> <p>The prices are the retail ones displayed by Google Shopping in US dollars (thus, excluding shipping fees).</p> <p>Several frameworks have been proposed for interacting with web browsers and analysing results from search engines. This research adopts OpenWPM. OpenWPM is automatised with <a href="http://www.seleniumhq.org/">Selenium</a> to efficiently create and manage different users with isolated Firefox and Chrome client instances, each of them with their own associated cookies.</p> <p>The experiments run, on average, 24 hours. In each of them, the software runs on our local server, but the browser's traffic is redirected to the designated remote servers (i.e., to India), via tunneling in SOCKS proxies. This way, all commands are simultaneously distributed over all proxies. The experiments adopt the Mozilla Firefox browser (version 45.0) for the web browsing tasks and run under Ubuntu 14.04. Also, for each query, we consider the first page of results, counting 40 products. Among them, the focus of the experiments is mostly on the top 10 and top 3 results.</p> <p>Due to connection errors, one of the Philippine profiles have no associated results. Also, for Philippines, a few keywords did not lead to any results: videocassette recorders, totes, umbrellas. Similarly, for US, no results were for totes and umbrellas.</p> <p>The search results have been analyzed in order to check if there were evidence of price steering, based on users' location.</p> <p><strong>One term of usage applies:</strong></p> <p>In any research product whose findings are based on this dataset, please cite</p> <pre>@inproceedings{DBLP:conf/ircdl/CozzaHPN19, author = {Vittoria Cozza and Van Tien Hoang and Marinella Petrocchi and Rocco {De Nicola}}, title = {Transparency in Keyword Faceted Search: An Investigation on Google Shopping}, booktitle = {Digital Libraries: Supporting Open Science - 15th Italian Research Conference on Digital Libraries, {IRCDL} 2019, Pisa, Italy, January 31 - February 1, 2019, Proceedings}, pages = {29--43}, year = {2019}, crossref = {DBLP:conf/ircdl/2019}, url = {https://doi.org/10.1007/978-3-030-11226-4\_3}, doi = {10.1007/978-3-030-11226-4\_3}, timestamp = {Fri, 18 Jan 2019 23:22:50 +0100}, biburl = {https://dblp.org/rec/bib/conf/ircdl/CozzaHPN19}, bibsource = {dblp computer science bibliography, https://dblp.org} } </pre> <p> </p> <p> </p>
Mechanisms Governing Target Search and Binding Dynamics of Hypoxia-Inducible Factors
<p>Raw fast SPT data for Hypoxia-Inducible Factors:</p> <p><strong>HIF2a_HIF1b_KIN_Clones.zip </strong>corresponds to Figure 2A-C and Figure 2-Figure supplement 2A-B, contains fast SPT data for Halo-HIF-2α KIN clone A31 and clone B50, Halo-HIF-1β KIN clone A21 and clone B89.</p> <p><strong>HIF1b_with_HIF2a_overexpression.zip </strong>corresponds to Figure 2D-E and Figure 2-Figure supplement 2C, contains fast SPT data for: Halo-HIF-1β KIN clone A21, Halo-HIF-1β KIN clone A21 with HIF-2α stably over-expressed, and Halo-HIF-1β KIN clone A21 with a dimerization mutant form of HIF-2α (R171A/V192D) stably over-expressed.</p> <p><strong>Belzutifan_dosage.zip </strong>corresponds to Figure 3-Figure supplement 1, contains fast SPT data for: Halo-HIF-2α KIN clone A31, treated with 0.0002 uM, 0.002 uM, 0.005 uM, 0.01 uM, 0.02 uM, and 0.2 uM of Belzutifan.</p> <p><strong>HIF1b_with_HIFa_chimera_overexpression_and_Belzutifan.zip </strong>corresponds to Figure 3 and Figure 3-Figure supplement 2, contains fast SPT data for: Parental Halo-HIF-1β KIN clone A21 cells and cells stably over-expressing either a certain form of HIF-α (WT or domain swap), treated with either Belzutifan or DMSO. </p> <p><strong>HIFa_domain_swap.zip </strong>corresponds to Figure 4 and Figure 4-Figure supplement 2, contains fast SPT data for: Halo-HIF-2α KIN clone A31, WT 786-O cells stably express V5-Halo-HIF-2α with an L30 promoter, WT 786-O cells stably express V5-Halo-HIF-2α/1α with an L30 promoter, WT 786-O cells stably express V5-Halo-HIF-1α with an L30 promoter, and WT 786-O cells stably express V5-Halo-HIF-1α/2α with an L30 promoter. </p> <p><strong>DBD_mutant.zip </strong>corresponds to Figure 5A-C, contains fast SPT data for: WT 786-O cells stably express V5-Halo-HIF-2α with an L30 promoter, WT 786-O cells stably express a DBD mutant form of V5-Halo-HIF-2α (R27E) with an L30 promoter, WT 786-O cells stably express V5-Halo-HIF-1α with an L30 promoter, and WT 786-O cells stably express a DBD mutant form of V5-Halo-HIF-1α (R30E) with an L30 promoter.</p> <p><strong>Dimerization_mutant.zip </strong>corresponds to Figure 5D-F, contains fast SPT data for: WT 786-O cells stably express V5-Halo-HIF-2α with an L30 promoter, WT 786-O cells stably express a dimerization mutant form of V5-Halo-HIF-2α (R171A/V192D) with an L30 promoter, WT 786-O cells stably express V5-Halo-HIF-1α with an L30 promoter, and WT 786-O cells stably express a dimerization mutant form of V5-Halo-HIF-1α (R170A/V191D) with an L30 promoter.<br> </p>
Humans trade-off search costs and accuracy in a combined visual search and perceptual task
<p>Data as well as MATLAB code for model fitting and to generate ideal observer predictions for the following publication:</p> <p>Wagner, I., Henare, D., Tünnermann, J., Schubö, A., & Schütz, A., C. (accepted). Humans trade-off search costs and accuracy in a combined visual search and perceptual task. <em>Attention, Perception, & Psychophysics</em>.</p> <p>The archive "data" contains two .csv file with data of participants that were recorded in the two experimental conditions (single-target: dat_cond1.csv, double-target: dat_cond2.csv). Each row in the .csv files corresponds to one gaze shift that was detected for a given trial of a given participants in a given condition. For more information about what data is stored in which column, please consult the README.rtf file in the "data" archive.</p> <p>The archive "probabilistcGenerativeModel" contains script to fit the probabilistic generative model and to generate ideal observer predictions. Please consult the README.rtf file in the archive for more information.</p> <p>The file "supplement_tradeOffSearchCostsAndAccuracy.docx" is the supplementary material for the publication. The supplement contains an extensive formal description of the probabilistic generative model, and additional supplementary plots. This file corresponds to the supplement which is referenced on the publication website of this manuscript.</p> <p>For further questions, please contact:<br> Ilja.Wagner[at]psychol.uni-giessen.de or a.schuetz[at]uni.marburg.de</p>
Supplementary material for a usability evaluation of a semantic search for biological datasets
<p>We conducted a usability evaluation for a semantic dataset search with 20 biodiversity scholars in June and July 2022 in Germany.</p> <p>Following the TREC guidelines (https://www-nlpir.nist.gov/projects/t9i/spec.html), we setup eight user tasks and surveys with questionnaires to guide users through the evaluation. The zip file provides questionnaires, survey templates and the original results.</p> <p>A Jupyter notebook for data analysis is provided in our GitHub repository: <a href="https://github.com/fusion-jena/semantic-search-usability-analysis">https://github.com/fusion-jena/semantic-search-usability-analysis</a></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.