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2,904 results for “Solute”
Nanofibers of solid-solution thorium(IV)-uranium(IV) oxides by electrospinning_experimental dataset
<p>Raw experimental data for Kundrát et al., Nanofibers of solid-solution thorium(IV)-uranium(IV) oxides by electrospinning, Journal of Nuclear Materials 566 (2022) 153731. </p>
Data from: Influence of different data cleaning solutions of point-occurrence records on downstream macroecological diversity models
<p><span>Digital point-occurrence records from the Global Biodiversity Information Facility (GBIF) and other data providers enable a wide range of research in macroecology and biogeography. However, data errors may hamper immediate use. Manual data cleaning is time-consuming and often unfeasible, given that the databases may contain thousands or millions of records. Automated data cleaning pipelines are therefore of high importance. This study examined the extent to which cleaned data from six pipelines using data cleaning tools (e.g., the GBIF web application, different R packages) affect downstream species distribution models. In addition, we assessed how the pipeline data differ from expert data. From 13,889 North American <i>Ephedra</i> observations in GBIF, the pipelines removed 31.7% to 62.7% false-positives, invalid coordinates, and duplicates, leading to data sets that included between 9,484 (GBIF application) and 5,196 records (manual-guided filtering). The expert data consisted of 703 thoroughly handpicked records, comparable to data from field studies. Although differences in the record numbers were relatively large, stacked species distribution models (sSDM) from the pipelines and the expert data were strongly related (mean Pearson's <i>r</i> across the pipelines: 0.9986, versus the expert data: 0.9173). The ever-stronger correlations resulted from occurrence information that became increasingly condensed in the course of the workflow (from individual occurrences to collectivized occurrences in grid cells to predicted probabilities in the sSDMs). In sum, our results suggest that the <i>R</i> package-based pipelines reliably identified invalid coordinates. In contrast, the GBIF-filtered data still contained both spatial and taxonomic errors. However, major drawbacks emerge from the fact that no pipeline fully discovered misidentified specimens without the assistance of expert taxonomic knowledge. We conclude that application-filtered GBIF data will still need additional review to achieve higher spatial data quality. Achieving high-quality taxonomic data will require extra effort, probably by thoroughly analyzing the data for misidentified taxa, supported by experts.</span></p>
Early Detection of Nucleation Events from Solution in LC-TEM by Machine Learning
<p>These data are images taken with a liquid cell transmission electron microscope and annotation data of particles.</p> <p>See <a href="https://github.com/hiroyasukatsuno/Early-Detection-of-Nucleation-Events-LC-TEM">this page (GitHub)</a>.</p> <p> </p>
Original data for publications: Direct solution–based synthesis of the Na4(B12H12)(B10H10) solid electrolyte, Experimental investigation of Mg(B3H8)2 dimensionality, materials for energy storage applications, Thermal Conversion of Unsolvated Mg(B3H8)2 to BH4– in the Presence of MgH2
<p>Original data for the following papers (Only part of University of Geneva, synthesis part):</p> <p>Direct solution–based synthesis of the Na4(B12H12)(B10H10) solid electrolyte<br> Gigante, A.; Duchêne, L.; Moury, R.; Pupier, M.; Remhof, A.; Hagemann, H.<br> ChemSusChem 2019, 12, 4832-4837</p> <p>Experimental investigation of Mg(B3H8)2 dimensionality, materials for energy storage applications<br> Romain Moury, Angelina Gigante, Arndt Remhof, Elsa Roedern and Hans Hagemann<br> Dalton Trans., 2020,49, 12168-12173, https://doi.org/10.1039/D0DT02170A</p> <p>Thermal Conversion of Unsolvated Mg(B3H8)2 to BH4– in the Presence of MgH2<br> Angelina Gigante, Noemi Leick, Andrew S. Lipton, Ba Tran, Nicholas A. Strange, Mark Bowden, Madison B. Martinez, Romain Moury, Thomas Gennett, Hans Hagemann, and Tom S. Autrey<br> ACS Appl. Energy Mater. 2021, 4,3737-3747. https://doi.org/10.1021/acsaem.1c00159</p> <p> </p>
A semi-analytical solution for heat transport in rock with parallel fractures and a heat source in both fracture and matrix
<p>In this study, we propose a two-dimensional semi-analytical solution framework based on a Green’s function approach for a flexible heat source definition, including the heat source dimensions, energy delivery strength and duration, and the presence of a heat source in the matrix and/or fracture. The solution fully accounts for heat conduction, advection, dispersion, and transient heat exchange between the fracture fluid and rock matrix in a system of parallel fractures. </p> <p>The dataset is for the figures 2-9 in the journal paper. </p> <p>The computation code is available to generate the temperature in rock matrix or fracture using Matlab. </p>
Raw Data of the plots presented in the article entitled "Minute-Made, High-Efficiency Nanostructured Bi2Te3 via High-Throughput Green Solution Chemical Synthesis"
<p>This is the collection of raw data for the graphical items presented in the article with given details. </p> <p>This research has received funding from the Swedish Energy Agency (43521-1) and in part by Swedish Research Agency Council (VR, 2018-03462) and the European Union’s Horizon 2020 research and innovation program under the grant agreement No 863222.</p>
Structuring of Data and Metadata in Bioimaging: Concepts and technical Solutions in the Context of Linked Data
<p>guided walkthrough of poster at <a href="https://doi.org/10.5281/zenodo.6821815">https://doi.org/10.5281/zenodo.6821815</a></p> <p>which provides an overview of contexts, frameworks, and models from the world of bioimage data as well as metadata and the techniques for structuring this data as Linked Data.</p> <p>You can also watch the video in the browser on the <a href="https://gerbi-gmb.de/i3dbio/i3dbio-resources/metadata-guide/">I3D:bio website</a>.</p>
Gastric Residual Volume, Safety and Effectiveness of Drinking 250ml Glucose Solution 2-3 Hours before Surgery in Gastric Cancer Patients: A Multicenter, Single-blind, Randomized Controlled Trial
<p><strong>Supplementary Figure 1</strong></p> <p> </p> <p>A. Change of QUICKI level after surgery</p> <p>Post-OP: right after operation; POD: post-operation day; Mixed linear model statistics showed that the effect of time ( p=0.004) was significant, but no significant differences were noted for group(P=0.600) or group*time(P=0.963).</p> <p>B. Change of Recovery Level of QUICKI after surgery</p> <p>Post-OP: right after operation; POD: post-operation day; Mixed linear model statistics showed that no significant differences were noted for group(P=0.600) ,time (P=0.235) or group×time(P=0.963).</p> <p>C. Change of WBC level after surgery</p> <p>Post-OP: right after operation; POD: post-operation day; Mixed linear model statistics showed that the effect of time ( p<0.001) was significant, and no significant differences were noted for group(P=0.392) or group×time(P=0.314).</p> <p>D. Change of CRP level after surgery</p> <p>Post-OP: right after operation; POD: post-operation day; Mixed linear model statistics showed that the effect of time ( p<0.001) was significant, but no significant differences were noted for group(P=0.312) or group × time(P=0.826).</p>
Catalogues of active galactic nuclei from Gaia and unWISE data (updated to Gaia DR3 astrometric solution)
<p>This is a minor update to the Gaia-unWISE AGN catalogue published in Shu et al. 2019, MNRAS, 489, 4741. It contains the same 2.7 million AGN candidates selected from the Gaia DR2 and unWISE data using a random forest classifier. In addition to the original columns (which are explained in detail in Shu et al. 2019), a few new columns that correspond to Gaia DR3 astrometric solutions are appended, i.e. dr3_source_id, dr3_pmra, dr3_pmra_err, dr3_pmdec, dr3_pmdec_err, dr3_plx, dr3_plx_err, dr3_pmsig, and dr3_plxsig. </p>
Flexibility solutions - making the power grid fit for the future
<p><b>Abstract</b></p><p class="dhik-abstract-content">The competence center Business Engineering presents different projects. QualyGridS: flexible hydrogen production, business ecosystem design; PACE: optimized operation of FC µCHPs, operations research, market analysis; - Multiple Benefits: valuation of MB of energy efficiency measures; smart services, CE, LCA</p><p></p><p><b>Weitere Beiträge aus dem DHIK-Forum 2022 auf Zenodo:</b></p><p class="dhik-session-list"></p><ul><li>Session #1: Viktor Sigrist: Internationalisierung - Partnerschaften für den Ausbau von Forschung und Entwicklung (DOI:<a href="https://zenodo.org/record/7123701">10.5281/zenodo.7123701</a>)</li><li>Session #2: Dieter Leonhard: DHIK- Strategien der internationalen Zusammenarbeit in Forschung und Lehre (DOI:<a href="https://zenodo.org/record/7123456">10.5281/zenodo.7123456</a>)</li><li>Session #3: Stephen Wittkopf: Wissens- und Innovationstransfer - Interdisziplinäre Zusammenarbeit mit Unternehmen und Institutionen (DOI:<a href="https://zenodo.org/record/7025707">10.5281/zenodo.7025707</a>)</li><li>Session #4: Xiao Feng: CDHAW - Chinesisch-Deutsche Hochschule für Angewandte Wissenschaften (DOI:<a href="https://zenodo.org/record/7123458">10.5281/zenodo.7123458</a>)</li><li>Session #5: Antonio Pita und Isabel Kreiner: Academy-Industry-Collaboration - Outreach Strategy (DOI:<a href="https://zenodo.org/record/7123460">10.5281/zenodo.7123460</a>)</li><li>Session #6: Martin Sternberg: Promotionsrecht – aktueller Stand an deutschen Hochschulen für angewandte Wissenschaften (DOI:<a href="https://zenodo.org/record/7123757">10.5281/zenodo.7123757</a>)</li><li>Session #7: Adrian Derungs: Duo mit Innovationskraft - Zusammenspiel von Forschung und Wirtschaft in der Zentralschweiz (DOI:<a href="https://zenodo.org/record/7123767">10.5281/zenodo.7123767</a>)</li><li>Session #8: Theres Paulsen: Transdisziplinäre Forschung - komplexe gesellschaftliche Herausforderungen erfordern diverse Ansätze (DOI:<a href="https://zenodo.org/record/7123769">10.5281/zenodo.7123769</a>)</li><li>Session #9: Jörg Schneider: International research collaboration - New funding opportunities for universities of applied sciences (DOI:<a href="https://zenodo.org/record/7123771">10.5281/zenodo.7123771</a>)</li><li>Session #10: Cornelia Spycher und Matthew Whellens: Horizon Europe - overview of funding opportunities for your research and innovation (DOI:<a href="https://zenodo.org/record/7123773">10.5281/zenodo.7123773</a>)</li><li>Session #11: Janique Siffert: Eureka Eurostars - erfolgreiche Förderung für internationale Innovationsprojekte (DOI:<a href="https://zenodo.org/record/7123777">10.5281/zenodo.7123777</a>)</li><li>Session #12: Ludger Fischer: Energy Lab - ein Netzwerk für innovative Lösungen im Energiebereich (DOI:<a href="https://zenodo.org/record/7123779">10.5281/zenodo.7123779</a>)</li><li>Session #13: Jörg Worlitschek: Thermal energy storage - heating the north, cooling the south (DOI:<a href="https://zenodo.org/record/7123781">10.5281/zenodo.7123781</a>)</li><li>Session #14: Jonas Mühlethaler: Neues DC Microgrid-Konzept – netzunabhängige Elektrifizierung in Entwicklungsländern (DOI:<a href="https://zenodo.org/record/7123783">10.5281/zenodo.7123783</a>)</li><li>Session #15: Tommy Claussen: Dekarbonisierung des Gebäudesektors - digitale Transformation in der Gebäudetechnik und im Gebäudemanagement (DOI:<a href="https://zenodo.org/record/7123785">10.5281/zenodo.7123785</a>)</li><li><b>Session #16: Christoph Imboden: Flexibility solutions - making the power grid fit for the future (<a href="#collapseTwo">Video</a>)</b></li><li>Session #17: Uwe Schulz: Spielerisches Sarnetz - Simulationen für die fossile Unabhängigkeit einer Ortschaft (DOI:<a href="https://zenodo.org/record/7123790">10.5281/zenodo.7123790</a>)</li><li>Session #18: Jana Koehler: Künstliche Intelligenz – Erfolg durch Erwünschtheit, Machbarkeit und Wirtschaftlichkeit (DOI:<a href="https://zenodo.org/record/7123792">10.5281/zenodo.7123792</a>)</li><li>Session #19: Rolf Kamps: KI in der Prävention - Befragungsmethoden und Schulungen trainieren, Krankheitserreger erkennen (DOI:<a href="https://zenodo.org/record/7123794">10.5281/zenodo.7123794</a>)</li><li>Session #20: Gwendolyne Pascua: Artificial Intelligence in Space - CIMON assisting astronauts on the International Space Station (DOI:<a href="https://zenodo.org/record/7123796">10.5281/zenodo.7123796</a>)</li><li>Session #21: Tobias Matter et.al.: Augmented Reality Soundscapes - mit maschinellem Lernen Klangkulissen von zukünftigen Bauvorhaben generieren (DOI:<a href="https://zenodo.org/record/7123798">10.5281/zenodo.7123798</a>)</li><li>Session #22: Angela Nicoara: Internet of Things - transforming businesses, people's lives and driving growth in the coming years (DOI:<a href="https://zenodo.org/record/7123800">10.5281/zenodo.7123800</a>)</li><li>Session #23: Adrian Koller: Feldrobotik - unermüdliche und zunehmend intelligentere Hilfe in der Landwirtschaft (DOI:<a href="https://zenodo.org/record/7123802">10.5281/zenodo.7123802</a>)</li><li>Session #24: Widar von Arx et.al.: Realisierung der Verkehrswende - Einfluss der Preispolitik in der Mobilität (DOI:<a href="https://zenodo.org/record/7124000">10.5281/zenodo.7124000</a>)</li><li>Session #25: Andreas Liebrich: Tourismusdateninfrastruktur - Was die Schweiz von Europa lernen kann (DOI:<a href="https://zenodo.org/record/7123806">10.5281/zenodo.7123806</a>)</li><li>Session #26: Frank Pöhlau und Stefan May: Find life on Mars - Schülerprojekte zur mobilien Robotik (DOI:<a href="https://zenodo.org/record/7123808">10.5281/zenodo.7123808</a>)</li><li>Session #27: Jiayun Shen: Open Innovation - Innovationsmanagement bei der Schweizerischen Post (DOI:<a href="https://zenodo.org/record/7123810">10.5281/zenodo.7123810</a>)</li><li>Session #28: Tobias Specker: Interkulturelles Management – innovative Konzepte zum Ausbau der China-Kompetenzen an Hochschulen (DOI:<a href="https://zenodo.org/record/7123812">10.5281/zenodo.7123812</a>)</li><li>Session #29: Elena Algorri: Swimming robots - exploring the unterwater from the surface (DOI:<a href="https://zenodo.org/record/7123814">10.5281/zenodo.7123814</a>)</li><li>Session #30: Sergio Camacho: Robotics and Digital Systems Engineering at the Tec de Monterrey (DOI:<a href="https://zenodo.org/record/7123816">10.5281/zenodo.7123816</a>)</li><li>Session #31: Thomas Dorn: Industrie 4.0 - Forschungskooperationen mit der CDHAW und der Tongji Universität Shanghai (DOI:<a href="https://zenodo.org/record/7123818">10.5281/zenodo.7123818</a>)</li><li>Session #32: Walter Reichert et.al.: Kollaboration und Unterstützung - Mobile Robotik und Exoskelette in der flexiblen Produktion (DOI:<a href="https://zenodo.org/record/7123820">10.5281/zenodo.7123820</a>)</li><li>Session #33: Louis Palmer: Solar Butterfly - climate pioneer world tour supported by HSLU (DOI:<a href="https://zenodo.org/record/7123822">10.5281/zenodo.7123822</a>)</li></ul><p></p>
Datasets for The Dynamics of Megafire Smoke Plumes in Climate Models: Why a Converged Solution Matters for Physical Interpretations
<p>The data in this repository contains the information needed to reproduce the core results of the paper, "The Dynamics of Megafire Smoke Plumes in Climate Models: Why a Converged Solution Matters for Physical Interpretations" submitted to the Journal of Advances in Modeling Earth Systems (JAMES) on 10/3/2022.</p> <p> </p> <p>The "intsmoke*.txt" files are text files with the globally integrated smoke mass above 150 hPa for all simulations in the paper. A header is provided in each file.</p> <p>The "spectra*.mat" files are matlab files that contain fields used to plot the kinetic energy spectra for all simulations. The variable "kes" is the kinetic energy as a function of wavelength, "wvl" are the associated wavelengths of "kes". The variables "hcut" and "lcut" represent the indices of the data "kes" and "wvl" that are used to make the kinetic energy spectra plots in the paper.</p> <p>The "budget*.nc" files contain the budget terms for the relative, vertical vorticity evolution equation at the appropriate date/time. The fields in the netcdf file are self-describing. These budget terms are for the "optimal simulation" described in the paper.</p> <p>The "vort*.nc" file contains the vorticity fields just before the plume forcing starts based on the date/time on the file.</p>
Competitive control of multiscale aquifer heterogeneity on solute transport in an alluvial aquifer
<p>Here, we provide the dataset for the publication "<strong>Competitive control of multiscale aquifer heterogeneity on solute transport</strong> <strong>in an alluvial aquifer</strong>" submitted to Journal of Hydrology for peer-review.</p>
Monitoring ML Systems: Challenges, Solutions and Metrics from a Practitioners' Perspective
<p>This is the dataset for the paper "Monitoring ML Systems: Challenges, Solutions and Metrics from a Practitioners' Perspective". The dataset is recorded in an MS Excel file which contains the following Excel sheets, and the description of each sheet is briefly presented below.</p> <p>(1) <strong>Selected Projects (GitHub)</strong> contain the 15 selected ML projects with the URL of each project.</p> <p>(2) <strong>Raw Data (GitHub)</strong> contains the information about the randomly selected 600 issues, such as issue titles, issue links, issue id.</p> <p>(3) <strong>Raw Data (SO) </strong>contains the information about the randomly selected 2088 SO posts (part of the 2174 SO posts), such as post titles, post link, post id, and open date.</p> <p>(4) <strong>MLOps (SO) </strong>contains the information about the 86 MLOps SO posts (part of the 2174 SO posts), such as post titles, post link, post id, and open date.</p> <p>(5) <strong>Identified Challenges (GitHub) </strong>contain the list of categories, subcategories, and codes of identified challenges from GitHub issues.</p> <p>(6) <strong>Identified Solutions (GitHub) </strong>contain the list of categories, subcategories, and codes of identified solutions from GitHub issues.</p> <p>(7) <strong>Identified Metrics (GitHub) </strong>contain the list of identified metrics from GitHub issues.</p> <p>(8) <strong>Identified Challenges (SO) </strong>contain the list of categories, subcategories, and codes of identified challenges from SO posts.</p> <p>(9) <strong>Identified Solutions (SO) </strong>contain the list of categories, subcategories, and codes of identified solutions from SO posts.</p> <p>(10) <strong>Identified Metrics (SO) </strong>contain the lists of identified metrics from SO posts.</p> <p>(11) <strong>Identified Challenges (Interview)</strong> contain the list of categories, subcategories, and codes of identified challenges from interviews.</p> <p>(12) <strong>Identified Solutions (Interview) </strong>contain the list of categories, subcategories, and codes of identified solutions from interviews.</p> <p>(13) <strong>Identified Metrics (Interview) </strong>contain the list of identified metrics from interviews.</p> <p>(14) <strong>Identified Challenges (Final) </strong>contain the taxonomy of the final challenges identified from GitHub issues, SO posts, and interviews.</p> <p>(15) <strong>Identified Solutions (Final) </strong>contain the<strong> </strong>taxonomy of the final solutions identified from GitHub issues, SO posts, and interviews.</p> <p>(16) <strong>Identified Metrics (Final) </strong>contain the<strong> </strong>final list of metrics identified from GitHub issues, SO posts, and interviews.</p>
Energy consumption, execution time and fail requests rate of a proactive energy-aware auto-scaling solution for edge-based infrastructures applied to real-world workload.
<p>Spreadsheet of the results obtained with our horizontal auto-scaling proposal presented in "A proactive energy-aware auto-scaling solution for edge-based infrastructures". In that research, we present a proactive horizontal auto-scaling framework for edge infrastructures, which considers both the base (idle) and dynamic (due to application execution) energy consumption of edge nodes and the node scaling mechanism. Simulations were performed with the EdgeCloudSim simulator with a workload provided by Shanghai Telecom and the results show up to a 92.5% decrease in energy consumption, a failed request rate of up to 0%, and reasonable execution times of the auto-scaling process for different problem sizes.</p> <p>Proactive auto-scaling mechanisms in edge-based infrastructures can anticipate user service requests by allocating computing resources while supporting the quality of service needed by a vast range of applications requiring, e.g., a low latency or response time. </p> <p>This work is supported by the European Union's H2020 research and innovation program under grant agreement DAEMON 101017109 and by the projects co-financed by FEDER funds LEIA UMA18-FEDERJA-15, MEDEA RTI2018-099213-B-I00 (MCI/AEI) and RHEA P18-FR-1081.</p>
Additonal material for the dissertation "An Accelerated Solution Method for Two-Stage Stochastic Models in Disaster Management": Data, MATLAB codes and results
<p>File "DataImport" contains a "ReadMe" file, raw data for all case studies in Excel and the MATLAB code "ImportData.m" importing Excel data into MATLAB</p> <p>File "LShaped" contains a "ReadMe" file, all data in the form of matrices and the MATLAB code "LShaped_MultiCut.m" solving all case studies via the standard or accelerated L-shaped method using a multi-cut approach</p> <p>File "Results" contains a "ReadMe" file, results of all case studies and computation time required by Gurobi, der standard L-shaped method and accelerated L-shaped method</p>
The perception of facilitators and barriers to the use of e-health solutions in Poland: a qualitative study
<p>It is an extract of the transcripts of in-depth interviews used for the preparation of the paper titled "The perception of facilitators and barriers to the use of e-health solutions in Poland: a qualitative study"</p> <p>This research was funded in whole by the National Centre of Science, Poland within the project titled "Determinanty akceptacji i gotowości wykorzystania aplikacji e-zdrowia i technologii Zdrowia 4.0 w polskim społeczeństwie" (Grant No 2021/43/B/NZ7/02140). </p> <p>For the purpose of Open Access, the author has applied a CC-BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.</p>
Solution-Based Synthesis of Oxide-Free MoS2 Film: Exploring Interface Mechanisms
<p>We present a novel method for synthesizing oxidation-free MoS2 films, focusing on interface mechanisms. By utilizing a sulfurization-free solution process and single-step annealing, we fabricate films on Si3N4 surfaces with improved uniformity, exhibiting surface roughness below 0.5 nm and a 4 nm thickness at a precursor concentration of 30 mM, annealed between 700 and 800ºC. Characterization reveals a hexagonal lattice structure with crystallographic orientations of (1 1 0 0) and (1 2 1 0), featuring lattice spacings of 0.27 nm and 0.16 nm, respectively. XPS analysis on SiO2 substrates shows migration of oxygen species, evidenced by a Si 2p spectrum shift to binding energies between 102.6 eV and 102.8 eV. MoS2 films on Si3N4 exhibit a complex Si 2p peak evolution between 100.9 eV and 101.8 eV, providing insights into oxide-free MoS2 film synthesis for advanced electronic devices. This dataset includes all the raw data associated with this study.</p>
Dataset behind review manuscript "Macrolitter and microplastics along the East Pacific coasts – a homemade problem needing local solutions"
<p>Dataset containing data on abundance, distribution, composition and sources of marine litter (macrolitter and microplastics) along the East Pacific region, generated by reviewing all the peer-reviewed literature published for the region until December 2023. The results of this literature review are presented in the manuscript "Macrolitter and microplastics along the East Pacific coasts – a homemade problem needing local solutions".</p> <p>All the data extracted from the literature are included in the sheets "MacroData" and "MicroData", corresponding to "macrolitter" and "microplastic" studies, respectively. The sheet "Legend_MacroData&MicroData" contains the metadata for the sheets "MacroData" and "MicroData". All the remaining sheets contain the data utilized for the elaboration of the graphs and figures presented in the manuscript.</p>
Raw Data for Control of Ferroelectricity in Solution-Processed Hafnia Films through Annealing Atmosphere
<p>The following raw data are the basis of the paper "Control of Ferroelectricity in Solution-Processed Hafnia Films through Annealing Atmosphere" published in Advanced Electronic Materials in 2024 (DOI 10.1002/aelm.202300893).</p> <p>BM and SG acknowledge Luxembourg National Research Fund (FNR) for supporting this work through the project TRICOLOR (INTER/NWO/20/15079143/TRICOLOR). We would like to thank Prof. Beatriz Noheda, Prof. Monica Acuautla, and Dr. Miguel Badillo for their inputs on the growth process used in this work and electrical characterization of the thin films.</p>
The raw position time series of 4 continous GNSS sites (YAAN, QLAI, CHDU, PIXI) and the final GNSS velocity solution of the Chengdu-Chongqing economic area (CCEA)
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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.