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3,172 results for “Publications”

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zenodo28/100

Améliorer l'exposition des données de la recherche : la publication de data papers

Ce texte présente la structure et le contenu d'un « data paper » ainsi que des exemples de revues qui publient de tels articles. ; Les données de la recherche sont l'objet de l'intérêt des financeurs de la recherche publique, qui incitent les chercheurs à partager ces données, afin de répondre à des enjeux financiers comme de circulation des savoirs. Parmi les différentes modalités de la communication scientifique, la publication d'un « data paper » est une démarche relativement nouvelle. Le « data paper », ou article sur des données, décrit des données scientifiques et propose un lien vers un entrepôt de données qui les stocke. La description est en particulier très précise sur les points techniques et la méthodologie de production des données. Cette démarche va dans le sens de l'exposition des données, de leur accessibilité, leur interopérabilité et leur réutilisabilité, répondant ainsi aux recommandations des communautés d'intérêt de la recherche académique. Ce texte présente la structure et le contenu d'un « data paper » ainsi que des exemples de revues qui publient de tels articles.

openother-openJan 2017View details →
zenodo28/100

Schönberg, J., Böhm-Beck, M., Trdan, Š., Grego, M., Knoblauch, D., Hinzmann, M., Dittmann, S., Knickmeier, K., Robič, U., Thiel, M., Kiessling, T., 2025. Public participation in EU legislation? Recommendations for involving citizen scientists in anthropogenic litter research within the Water Framework Directive.

<p>Research data and figures to the manuscript "Public participation in EU legislation? Recommendations for involving citizen scientists in anthropogenic litter research within the Water Framework Directive" by Sch&ouml;nberg et al. 2025</p>

opencc-by-4.0Dec 2024View details →
zenodo28/100

DataSet For Publication Thickness- Tuned Band Engineering for efficient Photodetection in 2D CuInP2Se6

<p><span lang="EN-GB">The combination of unique narrow bandgap electronic and optical properties, along with van der Waals surfaces in 2D materials, makes this class of materials highly promising for advancing photodetectors. In this study, we employ first-principles calculations to investigate the structural, electronic, and vibrational properties of the 2D CuInP₂Se₆ van der Waals material. Theoretical studies reveal phase-dependent properties in CuInP₂Se₆, including bulk paraelectric, bulk ferroelectric, and monolayer paraelectric phases. Notably, the material exhibits a tunable electronic band structure through phase transitions and layer thickness modulation. Among the explored phases, the paraelectric monolayer demonstrates a strong second harmonic generation response while also displaying lower thermal conductivity, making it suitable for nonlinear optical applications. The theoretically predicted optical properties were validated experimentally by synthesizing CuInP₂Se₆ using multi-step solid-state and chemical vapor transport reactions. A fabricated photodevice, configured as Au/CuInP₂Se₆/SiO₂ via standard optical lithography, exhibited UV-visible photodetection with a maximum photoresponsivity at 405 nm. Similarly, a modeled photodevice with the same configuration also demonstrated photodetection, attaining a maximum photoresponsivity at 405 nm. Furthermore, encapsulating silicene is expected to further modulate the electronic band structure and enhance photodetection performance, paving the way for future advancements in integrated UV-Vis-NIR optoelectronic devices. The significant improvement in photoconductive gain in the NIR range is attributed to an efficient charge transport pathway and interfacial encapsulation.</span></p>

restrictedcc-by-4.0Sep 2024View details →
zenodo28/100

Dataset of the publication entitled 'Light-Powered Self-Adaptive Mesostructured Microrobots for Simultaneous Microplastics Trapping and Fragmentation via in situ Surface Morphing'

<p>dataset of the publication entitled 'Light-Powered Self-Adaptive Mesostructured Microrobots for Simultaneous Microplastics Trapping and Fragmentation via in situ Surface Morphing'</p>

opencc-by-4.0Nov 2023View details →
zenodo28/100

TO DEVELOP A SYSTEM FOR MANAGING PUBLIC INVOLVEMENT IN THE PRODUCTION OF SPECIFIC LOCAL COSTUMES

<p>This article discusses the challenges of implementing a modern management system for controlling the efficient use of cotton in public carpet production, and also considers the issues related to maximizing the utilization of modern management in the textile industry.</p>

opencc-by-4.0Oct 2023View details →
zenodo28/100

TCCIA public data

<p>Curated CircRNA IDs identified in TCCIA cohorts with an Ensemble approach and 4 raw methods.</p>

opencc-by-4.0May 2023View details →
zenodo28/100

Data and code for the publication "Assessing the Behavior of Microplastics in Fluvial Systems: Infiltration and Retention Dynamics in Streambed Sediments" - Part 2(2)

<p><strong>Background</strong></p><p>The dataset contains data on Microplastic transport experiments run in an experimental flume of the University of Bayreuth. It was analysed in the paper by J.P. Boos, F. Dichgans, J.H. Fleckenstein, B.S. Gilfedder and S. Frei, "Assessing the Behavior of Microplastics in Fluvial Systems: Infiltration and Retention Dynamics in Streambed Sediments", currently under review in Water Resources Research</p><p>&nbsp;</p><p><strong>Description of the dataset</strong></p><p>This dataset contains data used for individual particle detection, and is a companion of the main dataset (10.5281/zenodo.10083568). The files need to be downloaded and merged into the given folder structure. Put the folder "1Pix" along with the folder "10Pix" to the folder in "210812/Data-FIS/matlab/2_Experiment/exp/".</p><p>&nbsp;</p><p><strong>Disclaimer</strong></p><p>The data and code are provided as is without any warranty.</p><p>&nbsp;</p><p><strong>Funding</strong></p><p>Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) -– Project Number 391977956 –- SFB 1357.</p>

openNov 2023View details →
zenodo28/100

Data and code for the publication "Assessing the Behavior of Microplastics in Fluvial Systems: Infiltration and Retention Dynamics in Streambed Sediments" - Part 1(2)

<p><strong>Background</strong></p><p>The dataset contains data on Microplastic transport experiments run in an experimental flume of the University of Bayreuth. It was analysed in the paper by J.P. Boos, F. Dichgans, J.H. Fleckenstein, B.S. Gilfedder and S. Frei, "Assessing the Behavior of Microplastics in Fluvial Systems: Infiltration and Retention Dynamics in Streambed Sediments", currently under review in Water Resources Research</p><p>&nbsp;</p><p><strong>Description of the dataset</strong></p><p>This dataset is the main dataset used for the analysis. There is a twin archive connected to this one, which contains the dataset which was used for the individual particle detection routines (10.5281/zenodo.10081788). The files have to be downloaded and merged into the folder structure.</p><p>The following data is included</p><ul><li>individual experimental data and results in the folders<ul><li><strong>210812</strong> (10 µm, coarse sand, low-flow)</li><li><strong>220727</strong> (1 µm, coarse sand, low flow)</li><li><strong>220803</strong> (3 µm, coarse sand, low-flow)</li><li><strong>220818</strong> (1 µm, fine sand, low-flow)</li><li><strong>220901</strong> (1 µm, coarse sand, high-flow)</li></ul></li><li><strong>Comparison</strong> (comparing individual results of the experiments)</li><li><strong>Scripts</strong> (contains the individual matlab scripts)</li><li><strong>labbook.xlsx</strong> (contains metadata on the experiments, which are read out in the matlab scripts)</li></ul><p>&nbsp;</p><p><strong>Description of the code</strong></p><p>The matlab scripts *.m contain the code to read and analyse all experimental data. The scripts are divided for the different input file types.</p><ul><li>Main scripts to analyze experimental data<ul><li><strong>Experiment_Main.m </strong>Main routine for individual experiments, reading and analysing Fluorometer, Levelogger, Flowmeter, Ultrasonics PIV</li><li><strong>Experiment_Main_Compare.m </strong>Comparison of individual experiment results</li></ul></li><li>FIS-dataset<ul><li><strong>FIS_Cal_Individual.m: </strong>Realizes individual calibrations of one experiment</li><li><strong>FIS_Cal_Result.m: </strong>Merges individual calibrations of one experiment</li><li><strong>Experiment_FIS.m: </strong>Load data of one experiment, detect interfaces. Followed by<ul><li><strong>Experiment_FIS_1pix</strong>: Individual particle detection (for 10 µm experiment, no binning)</li><li><strong>Experiment_FIS_10pix</strong>: Particle cloud analysis (all experiments, binning 10 Pix * 10 Pix)</li></ul></li><li><strong>Experiment_FIS_10pix_compare.m: </strong>Compare results of particle cloud analysis for all experiments.</li></ul></li><li>Fluo-data<ul><li><strong>Fluo_Cal.m </strong>Realizes calibration for Fluorometer devices</li></ul></li><li>PIV-dataset<ul><li><strong>PIV_individual.m </strong>Individual analysis of Particle Image Velocimetry (in total 9 different subdatasets, from 3 camera positions, and each 3 different illumination positions)</li><li><strong>PIV_merge.m </strong>Merge<strong> </strong>9 individual results of PIV for a result for one experiment</li></ul></li><li>Profiler-dataset<ul><li><strong>Profiler.m &nbsp;</strong>Analyses data from bedform profiling (merging individual measurements after the experiment)</li><li><strong>Profiler_Compare.m </strong>Compares bedform elevations and metrics between the 5 experiments (acquired after the experiment)</li><li><strong>Profiler_Time.m </strong>Analyses temporal change of bedform elevation during the experiment</li></ul></li></ul><p>&nbsp;</p><p><strong>Disclaimer</strong></p><p>The data and code are provided as is without any warranty.</p><p>&nbsp;</p><p><strong>Funding</strong></p><p>Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) -– Project Number 391977956 –- SFB 1357.</p>

openNov 2023View details →
zenodo28/100

OpenAlex Book Publications 2013-2022

Open the record for dataset details and reuse information.

opencc-zeroNov 2023View details →
zenodo28/100

Covert System For Detecting Nuclear Dirty Bombs In Public Venues Image Files

<p>These files are figure images for the CRABS report. <a href="https://doi.org/10.12688/nuclscitechnolopenres.17455.1" target="_blank" rel="noopener noreferrer">https://doi.org/10.12688/nuclscitechnolopenres.17455.1</a></p>

opencc-zeroNov 2023View details →
zenodo28/100

Determinants for university students' location data sharing with public institutions during COVID-19 the Italian case

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2023View details →
zenodo28/100

Supplementary Material for Publication: Comparing Image-to-Chemistry Tools

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2023View details →
zenodo28/100

Publications on Digitalization in EU indexed in Scopus

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2023View details →
zenodo28/100

CRITICAL ASSESSMENT OF THE THEORY AND PRACTICE OF QUALITIES, TYPES AND COMMUNICATION IN EDUCATIONAL MANAGEMENT AND LEADERSHIP AND ITS APPLICABILITY IN THE CONTEXT OF LEADING PUBLIC COMPULSORY SCHOOLS IN UZBEKISTAN.

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2023View details →
zenodo28/100

Finding Candida auris in public metagenomic repositories

<p><i>Candida auris</i>&nbsp;is a newly emerged multidrug-resistant fungus capable of causing invasive infections with high mortality. Despite intense efforts to understand how this pathogen rapidly emerged and spread worldwide, its environmental reservoirs are poorly understood. Here, we present a collaborative effort between the U.S. Centers for Disease Control and Prevention, the National Center for Biotechnology Information, and GridRepublic (a volunteer computing platform) to identify&nbsp;<i>C. auris</i>&nbsp;sequences in publicly available metagenomic datasets. We developed the MetaNISH pipeline that uses SRPRISM to align sequences to a set of reference genomes and computes a score for each reference genome. We used MetaNISH to scan ~300,000 SRA metagenomic runs from 2010 onwards and identified five datasets containing&nbsp;<i>C. auris</i> reads. Finally, GridRepublic has implemented a prospective <i>C. auris&nbsp;</i>molecular monitoring system using MetaNISH and volunteer computing.</p>

openNov 2023View details →
zenodo28/100

PARTICIPATION OF CITIZENS IN THE MAINTENANCE OF PUBLIC ORDER SOCIAL NECESSITY

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2023View details →
zenodo28/100

Data for the publication "Mechanical communication within the microtubule through network-based analysis of tubulin dynamics"

<p>Repository containing all the necessary data to replicate the study "Mechanical communication within the microtubule through network-based analysis of tubulin dynamics", published in Biomechanics and Modeling in Mechanobiology (https://doi.org/10.1007/s10237-023-01792-5).</p>

opencc-by-4.0Nov 2023View details →
zenodo28/100

THE ROLE OF PUBLIC CONTROL IN ENSURING THE EFFICIENCY OF PUBLIC SERVICES

Open the record for dataset details and reuse information.

opencc-by-4.0Dec 2023View details →
zenodo28/100

FIGURE 1 in Single syntypes of Somatochlora exuberata Bartenev, 1910 (Odonata: Corduliidae), discovered in both the Milwaukee Public Museum and the University of Michigan Museum of Zoology, U.S.A., with designation of the lectotype

FIGURE 1. Riker mount with Somatochlora specimens by A.N. Bartenev (all but the upper left).

opennotspecifiedDec 2023View details →
zenodo28/100

Public Health Undergraduate Nurse Course Data_2023

Open the record for dataset details and reuse information.

opencc-by-4.0Dec 2023View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.