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3,172 results for “Publications”
Dataset for the publication Review of Scientific Instruments 92, 063205 (2021)
<p>Datasets for Fig. 3 and 5 of the publication "Long distance optical transport of ultracold atoms: A compact setup using a Moiré lens", Review of Scientific Instruments <strong>92</strong>, 063205 (2021)</p>
Data archive for the publication: Multi-variable compensated quantum yield measurements of upconverting nanoparticles with high dynamic range: a systematic approach
<p>The two compressed repositories contain raw and analysed data for the following publication on Optics Express: <strong><a href="https://doi.org/10.1364/OE.452874">Multi-variable compensated quantum yield measurements of upconverting nanoparticles with high dynamic range: a systematic approach</a></strong></p> <p>The code for processing and analysing these data is available on GitHub and it has its own DOI. </p> <p>To access the code and for instructions on how to run the it follow the link: <a href="https://github.com/Biophotonics-Tyndall/QY-System-paper">Biophotonics-Tyndall/QY-System-paper (github.com)</a>. </p>
A Dataset of Dropout Rates and Other School-Level Variables in Louisiana Public High Schools
<p>This massive dataset of school variables covering a duration of five academic years (2014-15 to 2018-19) was originally compiled with the intention of identifying the factors that correlate with high school dropout in Louisiana public high schools, specifically. However, it can be useful to any researchers interested in analyzing school-level data concerning a wide range of variables beyond merely dropout rates. This dataset also contains socioeconomic demographics, financial variables, class size, and much more.</p>
Images of Public Streetlights with Operational Monitoring using Computer Vision Techniques
<p>This dataset consists of ~350k JPEG images of streetlight columns installed on a public road infrastructure located in the city of Bristol, UK.</p> <p>Each streetlight is photographed by a Raspberry Pi Camera Module v1, installed on each lamppost, providing a unique camera placement, photographic angle, and distance from the streetlight. Several streetlights are partially obstructed by vegetation or are outside the Field of View (FoV) of the Raspberry Pi camera. Finally, the cameras facing the sky are susceptible to weather conditions (e.g., rain, snow, direct sunlight, etc.) that can partially or entirely alter the quality of the images taken.</p> <p>The above provides a unique and diverse dataset of images that can be used for training tools and machine learning models for inspection, monitoring and maintenance use-cases within Smart Cities applications.</p>
Unified Model GA 7.0 Nudging Experiments used in JGR-A publication "Investigating Tropical versus Extratropical Influences on the Southern Hemisphere Tropical Edge in the Unified Model", Freisen et al. (2022)
<p><strong>UK Met Office Unified Model (UM) Global Atmosphere version 7.0 (GA7.0) Nudging Experiments </strong><strong>used in </strong><strong>"Investigating Tropical versus Extratropical Influences on the Southern Hemisphere Tropical Edge in the Unified Model" published in Journal of Geophysical Research: Atmospheres (doi.org/10.1029/2021JD036106).</strong></p> <p>Please refer to UM_nudging_experiments_readme.txt.</p>
Processed and additional data for our publication titled "Endoplasmic reticulum stress activates human IRE1α through reversible assembly of inactive dimers into small oligomers"
<p>This is an updated version of our original data archive (which can be found under the doi 10.5281/zenodo.5513025) that reflects changes we've made to the manuscript over the course of the review process and incorporates the new data we've collected since the time of the initial bioRxiv submission.</p> <p>This data archive contains all raw data EXCEPT for single-particle microscopy movies (which are deposited separately due to their size) for our paper titled "Endoplasmic reticulum stress activates human IRE1a through reversible assembly of inactive dimers into small oligomers". These raw data are stored in "non_SPT_data_final_v2.zip". Additionally, full plasmid sequences for all plasmids used in this paper are stored in GenBank format in the file "plasmid_sequences_v2.zip". Finally, this repository contains processed single-particle movies in the form of dual-color tracks from the TrackMate ImageJ plugin in XML format (file: "SPT_processed_data_and_settings_final_v2.zip").</p> <p>The processed XML tracks are organized in the same way as the raw data files in the separate repository. They are sorted into subfolders by date of acquisition first, followed by experimental conditions. To recreate the figures from the paper, follow instructions in the README.md file included with the source code repository and use the JSON settings files saved here under "analysis_settings".</p>
Publication times for COVID-19 articles and associated preprints
<p>These are two datasets of COVID-19 peer-reviewed journal and review articles and associated with them medRxiv and bioRxiv preprints. Datasets contain DOI of preprint and its published version, and publication times associated with each step: pre-submission time, review time, production stage time, and the elapsed time. One dataset was collected on 4 May 2021 and it includes a total of 4,031 deduplicated journal article-preprint pairs. Another dataset was collected on 19 October 2020 and it includes 1,099 journal article-preprint pairs. These files are associated with the submission of a manuscript "Publication Practices during the COVID-19 Pandemic: Expedited publishing or simply an early bird effect?" to the journal Learned Publishing in 2022.</p>
EZ publication: source code, profiling, analysis and simulation data
<p>Data of the PIConGPU simulations as used in the publication: EZ: An Efficient, Charge Conserving Current Deposition Algorithm for Electromagnetic Particle-In-Cell Simulations</p> <p>Data overview:</p> <ul> <li>picongpu_source.zip: <ul> <li>source code forked from the PIConGPU mainline version 0.7.0-dev</li> <li>used input set `share/picongpu/examples/PaperThermal`</li> </ul> </li> <li>runs_charge_conservation.zip: <ul> <li>output including hdf5 dumps to validate charge conservation property for the PaperThermal setup (warm plasma)</li> </ul> </li> <li>runs_performance.zip: <ul> <li>simulation timings output for Spock CPU, Spock GPU and Summit GPU runs</li> </ul> </li> <li>runs_profiling.zip: <ul> <li>profile data for Spock GPU and Summit GPU runs</li> </ul> </li> <li>runs_singleParticleTest.zip: <ul> <li>output including hdf5 dumps to validate charge conservation property for the single particle test</li> </ul> </li> <li>analysis_scripts.zip: <ul> <li>jupyter notebooks for setup and analysis of PaperThermal setup</li> <li>python script to plot charge conservation from hdf5 simulation output over time</li> <li>bash script for statistical analysis of performance runs</li> </ul> </li> </ul>
Data supporting publication by Morinetal
<p><strong>Data deposit for Morin et al. showing data supporting some of the analyses.</strong></p> <p><strong>Please read the ReadMe_Morinetal.pdf file.</strong></p>
Fig. 4. T in Trichinellosis Of Wild Animals In Ukraine And Its Danger To The Public
Fig. 4. T. britovi occurrence in natural foci of invasion in Ukraine.
Fig. 3 in Trichinellosis Of Wild Animals In Ukraine And Its Danger To The Public
Fig. 3. The infestation extent of wild mammals' trichinellosis in Ukraine.
Fig. 1 in Trichinellosis Of Wild Animals In Ukraine And Its Danger To The Public
Fig. 1. The domestic (1) and the sylvatic (2) cycles of Trichinella in Ukraine.
Publication release: How well do species distribution models predict occurrences in exotic ranges?
<div class="record-description"> <p>Species distribution models (SDMs) are widely used predictive tools to forecast potential biological invasions. However, the reliability of SDMs extrapolated to exotic ranges remains understudied, with most analyses restricted to few species and equivocal results. We examined the spatial transferability of SDMs for 647 non-indigenous species extrapolated across 1,867 invaded ranges, and identify what factors may help differentiate predictive success from failure. We performed a large-scale assessment of the transferability of SDMs using two modelling approaches: generalized additive models (GAMs) and MaxEnt. We fitted SDMs on the native ranges of species and extrapolated them to exotic ranges. We examined the influence of general factors and factors related to biological invasions on spatial transferability.</p> <p>Here, we provide the code and data for publication in Global Ecology and Biogeography as part of Nguyen and Leung 2022 "How well do species distribution models predict occurrences in exotic ranges?". Provided are the files and scripts necessary to fit and validate the SDMs using distirbutional data from their native and exotic ranges, respectively, formulated as generalized additive models (GAMs) or MaxEnt models. Additionally, provided is a script to validate the SDMs on their native fitting range using 10-fold cross-validation, and to fit the transferability model, as a linear mixed model (LMM), with a provided cleaned data.frame. The dataset provided includes a full species list with GBIF occurrence records, target-group background (TGB) records to use with model fitting and validation, as well as environmental data associated with the sightings.</p> </div>
Input files for publication: Binding of DEP Domain to Phospholipid Membranes: More Than Just Electrostatics
<p>Input files for publication: Francesco L. Falginella, Marek Kravec, Martina Drabinová, Petra Paclíková, Vítězslav Bryja, and Robert Vácha: Binding of DEP Domain to Phospholipid Membranes: More Than Just Electrostatics</p>
NOAA Extended Reconstructed SST V5 as Supplementary Data for Publication
<p>A global monthly sea surface temperature (SST) analysis from 1854 to the present derived from ICOADS data with missing data filled in by statistical methods.</p>
Dataset for publication: "Design and Verification of a Calculable Composite Voltage Calibrator"
<p>Dataset for publication: "Design and Verification of a Calculable Composite Voltage Calibrator". Excel file contains the data for Figures 5, 8, and 9.</p>
All Hands on Deck' or Separate Lifeboats? Public support for European Economic Solidarity during the Covid-19 pandemic
<p>What are the sources of public support for international aid in times of crises? This paper<br> investigates the determinants of public support for the EU Covid-19 aid package (’NextGenera-<br> tionEU’, NGEU), the largest aid package in EU history. We show that although public support<br> for within-EU redistribution is influenced by long-standing factors such as ideology and citizen<br> identities, endorsement or opposition cues taken from elite actors are important determinants<br> of public support for aid in times of crises. Conversely, the effects of policy details about the<br> aid package are more mixed. Using what is to the best of our knowledge the first EU-wide<br> study on public opinion on the Covid-19 rescue package, our vignette experiment shows that<br> short-term shifts in support for the rescue package are driven mostly by elite endorsement<br> cues rather than information about the precise terms of aid or amount. We also find that the<br> role of elite endorsement cues varies across different subsets of the population depending on<br> their level of political sophistication, national level attachment and country context. Thus, in<br> the face of multidimensional decision-making in times of crises, national institutions are key<br> catalyst of moving short-term support for policies of international solidarity. We discuss how<br> our findings have implications for democratic governance and accountability in the EU.</p>
Dataset supporting the publication, "Constraints on the role of Laplace pressure in multiphase reactions and viscosity of organic aerosols"
<p>This dataset supports the publication, "Constraints on the role of Laplace pressure in multiphase reactions and viscosity of organic aerosols". This project was funded by the U.S. National Science Foundation Postdoctoral Fellowship Award #AGS-1624696.</p>
Untargeted metabolomics data for the publication Weiss et al. 2022 "In vitro interaction network of a synthetic gut bacterial community"
<p>This dataset contains the untargeted metabolomics data for the publication Weiss et al. 2022 "In vitro interaction network of a synthetic gut bacterial community". The dataset has also been submitted to MetaboLights repository with ID "MTBLS3535". Please refer to the MetaboLights repository for the most up-to-date datasets. </p> <p>Publication abstract:</p> <p>A key challenge in microbiome research is to predict the functionality of microbial communities based on community membership and (meta)-genomic data. As central microbiota functions are determined by bacterial community networks, it is important to gain insight into the principles that govern bacteria-bacteria interactions. Here, we focused on the growth and metabolic interactions of the Oligo-Mouse-Microbiota (OMM<sup>12</sup>) synthetic bacterial community, which is increasingly used as a model system in gut microbiome research. Using a bottom-up approach, we uncovered the directionality of strain-strain interactions in mono- and pairwise co-culture experiments as well as in community batch culture. Metabolic network reconstruction in combination with metabolomics analysis of bacterial culture supernatants provided insights into the metabolic potential and activity of the individual community members. Thereby, we could show that the OMM<sup>12</sup> interaction network is shaped by both exploitative and interference competition in vitro in nutrient-rich culture media and demonstrate how community structure can be shifted by changing the nutritional environment. In particular, <em>Enterococcus faecalis</em> KB1 was identified as an important driver of community composition by affecting the abundance of several other consortium members in vitro. As a result, this study gives fundamental insight into key drivers and mechanistic basis of the OMM<sup>12</sup> interaction network in vitro, which serves as a knowledge base for future mechanistic in vivo studies.</p>
Data of publication "A simple diagnostic based on sea surface height with application to Central Pacific ENSO"
<p>Data used for the analysis presented in the publication "A simple diagnostic based on sea surface height with application to Central Pacific ENSO" by Lai et al.</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.