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3,172 results for “Publications”
Supplementary dataset to publication: Whole-genome sequencing of Streptococcus uberis isolated from cows with mastitis in Thuringia
<p><span><strong>Introduction</strong>.</span> <em><span>Streptococcus uberis</span></em> is a common cause of mastitis in cattle, leading to significant economic losses. The widespread use of antimicrobials has contributed to the emergence of resistance, which poses a severe challenge in controlling <em><span>S. uberis</span></em> infection.</p> <p><span><strong>Aim</strong>.</span> The objective of this study was to gain insights into the antimicrobial resistance (AMR) and epidemiological typing of <em><span>S. uberis</span></em> isolated from milk collected from bovine mastitis on dairy farms in Thuringia.</p> <p><span><strong>Methodology</strong>.</span> In this study, 84 <em><span>S. uberis</span></em> isolates were obtained from cattle with clinical mastitis in Thuringia, their phenotypic and genotypic AMR were analyzed and their phylogenetic relationship was explored using whole-genome sequencing.</p> <p><span><strong>Results</strong>.</span> Genetically heterogeneous strains were found on the farms, but clusters of highly similar strains also circulated within the same farms. All isolates were sensitive to ampicillin, penicillin, ceftiofur, and vancomycin. However, 42.9%, 42.9%, 22.6%, 19.0%, and 13.0% were resistant to tetracycline, doxycycline, clindamycin, pirlimycin, and erythromycin, respectively. Thirty-nine strains were phenotypically resistant to two or more tested antibiotics. We identified a plasmid associated with macrolide and lincosamide resistance in 12% of the strains.</p> <p><span><strong>Conclusion</strong>.</span> The emergence of <em><span>S. uberis</span></em> strains resistant to multiple antibiotics highlights the importance of <em><span>S. uberis</span></em> surveillance and the prudent use of antimicrobials.</p>
Rawdata for publication: An Efficient and Stable Polarizing Agent for In-Cell Magic-Angle Spinning Dynamic Nuclear Polarization NMR Spectroscopy
<p>This is the raw dataset for the publication: An Efficient and Stable Polarizing Agent for In-Cell Magic-Angle Spinning Dynamic Nuclear Polarization NMR Spectroscopy. It contains the EPR and NMR data used in this publication. DOI of this pubcliation: 10.1021/acs.jpclett.4c02709</p>
Data for the publication: Advancing Reversible Magnesium−Sulfur Batteries with a Self-Standing Gel Polymer Electrolyte
<p>This is a collection featuring the data generated and used within the paper: "Advancing Reversible Magnesium−Sulfur Batteries with a Self-Standing Gel Polymer Electrolyte"</p>
Analysis code and quantification for publication "The stress-sensing domain of activated IRE1α forms helical filaments in narrow ER membrane tubes"
<p>Analysis code and input/output files for all quantifications performed for publication entitled "The stress-sensing domain of activated IRE1α forms helical filaments in narrow ER membrane tubes." </p> <p>All questions on the analyses or code can be directed to han@walterlab.ucsf.edu</p>
Centralized Punishment in Public Good Experiments
<p>The data is of the economic experiment, namely the Public Goods Game with centralized punishment conducted in Georgia in October 2020. The experiment was conducted online via LIONESS web-based software. The experiment was conducted in Georgian Language. The data is translated from Georgian language into English language as well as the instructions used in the experiment. The participants were mostly students of different major. The data consist of three treatments: (1) Control treatment - a standard Public Goods Game (PPG) of 10 rounds; (2) I&P9090 and (3) I&P9010 treatments of two stage PGG with centralized punishment mechanism with different probabilities of punishment of free riders, each stage was of 10 rounds, in stage 1 participants play PGG with centralized punishment and in stage 2 players play standard PGG of ten rounds. All three treatments were partner treatments with constant group composition. </p>
bokhaeng/CARS: CARS (Comprehensive Automobile Emissions Research Simulator) version 1.0 Public Release
<p>Comprehensive Automobile Research System (CARS) version 1.0 is an open-source and python-based mobile emission inventory model designed to efficiently provide high-resolution and high-quality mobile emission data for the air quality forecast system. The CARS model has five independent modules to produce the emission data for the chemical transport model (CTM), including the arrangement of vehicle activity data, calculating the emission factors for each vehicle type, operating the link-level road shapefile, and outputting the emission data. The CARS also include the QA functionality that allows users to generate statistical summary report and various types of figures (e.g., spatial and temporal pattern plots)</p>
Code and data for publication "pyGRETA, pyCLARA, pyPRIMA: A pre-processing suite to generate flexible model regions for energy system models"
<p>This dataset contains the code of the three pre-processing tools <a href="https://github.com/tum-ens/pyGRETA">pyGRETA</a>, <a href="https://github.com/tum-ens/pyPRIMA">pyPRIMA</a> and <a href="https://github.com/tum-ens/pyCLARA">pyCLARA</a> and an examplary database for the scope of Austria.</p> <p>To run the code with full functionality additional data is needed. Check the documentation of the tools for further information.</p> <p> </p> <p>Sources for data can be found here: </p> <p>pyGRETA: https://pygreta.readthedocs.io/en/stable/user_manual.html#recommended-input-sources</p> <p>pyPRIMA: https://pyprima.readthedocs.io/en/stable/user_manual.html#recommended-input-sources</p> <p>pyCLARA: https://pyclara.readthedocs.io/en/stable/user_manual.html#recommended-input-sources</p>
Data for Publication "Comparing individuals buried in flexed and extended positions at the Greek colony of Chersonesos (Crimea) using cranial metric, dental metric, and dental nonmetric traits"
<p>Data for Publication: H. Rathmann, R. Stoyanov, and R. Posamentir, Comparing individuals buried in flexed and extended positions at the Greek colony of Chersonesos (Crimea) using cranial metric, dental metric, and dental nonmetric traits.</p>
Table 1: Publications found in the Scopus and Web of Science database from 2000 to 2019 (excluding duplicate articles) on the topic of biorefineries.
<p>Table referring to the study of systematic literature review on the social impact of small and medium-sized biorefineries.</p>
Dataset (46 analyzed core studies) of the publication "Conservation perspectives of small-scale private forest owners in Europe: A systematic review"
<p>The dataset contains the data collected to conduct the review "Conservation perspectives of small-scale private forest owners in Europe: A systematic review".</p>
Raw data for the publication entitled -"Local disorder in calcined kaolinitic clays for pozzolanic early-age reactivity understanding: A Synchrotron Pair Distribution Function study-"
<p>Raw data for the publication entitled -"Local disorder in calcined kaolinitic clays for pozzolanic early-age reactivity understanding: A Synchrotron Pair Distribution Function study-". This includes: raw data for calorimetry, SXRPD,LXRPD,NMR and PSD.</p>
Dataset for the publication of "WRF model parameter calibration to improve the prediction of tropicalcyclones over the Bay of Bengal using Machine Learning-basedMultiobjective Optimization"
<p>The dataset consists of the modified WRF model software, that can be extracted and used in any Linux system with preinstalled required software.</p> <p>The namelists_file.zip consists of the namelist.input files that are used for the default and calibration simulations with different driving data namely, FNL files at 1deg with two nested domains, ERA files at 1deg with two nested domains, ERA files at 0.25deg with a single domain, and the ERA files at 0.25deg with two nested domains.</p>
Dataset used in publication "Effects of local and remote black carbon aerosols on summer monsoon precipitation over India"
<p>Essential model data used to produce the figures and tables in publication "Effects of local and remote black carbon aerosols on summer monsoon precipitation over India"</p>
Supporting Data and Scripts for TAFFI-gen publication
<p>TAFFI-gen force field parameters, an example of the parameterization data, and supporting python scripts for using the force-field. </p>
WACCMX+DART output files associated with the publication "The Impact of Assimilating COSMIC-2 Observations of Electron Density in WACCMX"
<p>WACCMX+DART output files that are associated with the publication "The Impact of Assimilating COSMIC-2 Observations of Electron Density in WACCMX". Data files include DART diagnostics for the COSMIC-2 and Control experiments, as well as the vertical plasma drift velocities.</p>
Tracking Data II/II of the publication "A graph-based cell tracking algorithm with few manually tunable parameters and automated segmentation error correction"
<p>DATA belonging to the paper<br> "A graph-based cell tracking algorithm with few manually tunable parameters and automated segmentation error correction"<br> Katharina Löffler, Tim Scherr, Ralf Mikut<br> doi: https://doi.org/10.1101/2021.03.16.435631</p> <p>-----------------------------</p> <p>To investigate the influence of different segmentation errors on the tracking performance we simulate errorneous segmentation data:<br> - under-segmentation (referred to as "merge" in the folders), over-segmentation("split"), False Negatives ("remove"), combination of the aforementioned errors ("mixed")<br> - percentages: 1,2,5,10,20 of errorneous masks per dataset<br> - runs: 5 randomly initialized runs per combination<br> - datasets: Fluo-N2DH-SIM+ and Fluo-N3DH-SIM+ each with two image sequences<br> ---> in total 4 (error types) * 5 (percentage) * 5 (runs) * 2 (data sets) * 2 (image sequences) = 400 datasets</p> <p>The datasets can be recreated by running our code https://git.scc.kit.edu/KIT-Sch-GE/2021-cell-tracking<br> ----------------------------</p> <p>RESULTS<br> We evuated the four tracking algorithms KIT-Sch-GE(1), KTH-SE, MU-Lux-CZ and our proposed algorithm on the aforementioned datasets and compare their performance using the CTC metrics DET, SEG and TRA.<br> This repository contains all metrics as xls files and all tracking results as image sequences.</p> <p><strong>PLEASE NOTE: this repository contains only the folder compare_postprocessing_synth_bm </strong></p> <p><strong>All other datasets and files are provided in 10.5281/zenodo.5227595 due to size restrictions.</strong></p> <p><br> <strong>xls files</strong><br> -----------<br> compare_all_trackers_on_synt_bm.csv<br> Comparing the tracking algorithms MU-Lux-CZ, KTH-SE, KIT-Sch-GE(1) and the proposed tracking algorithm on synthetically degraded segmentation data Fluo-N2DH-SIM+ and Fluo-N3DH-SIM+ (Cell Tracking Challenge datasets).<br> Reported scores are DET, SEG and TRA from the Cell Tracking Challenge<br> (Fig8 and Fig9 and Supplementary Figures 3 and 4 are created from this data)</p> <p><br> compare_postprocessing_on_synth_bm.csv<br> Comparing the different post-processing strategies of the proposed tracking algorithm algorithm on synthetically degraded segmentation data Fluo-N2DH-SIM+ and Fluo-N3DH-SIM+ (Cell Tracking Challenge datasets).<br> Reported scores are DET, SEG and TRA from the Cell Tracking Challenge<br> (Fig7 and Fig8 and Supplementary Figures 1 and 2 are created from this data)</p> <p> </p> <p><strong>folders </strong>(decompressed approximately 90GB of data!)<br> -----------<br> tracking_data<br> compare_all_synth_bm<br> Contains all tracking results for each tracking algorithm on the synthetically degraded datasets ()</p> <p> compare_all_synth_bm_no_error<br> Contains the tracking results for each tracking algorithm provided with the perfect ground truth segmentation data</p> <p> compare_postprocessing_synth_bm [will be stored in 10.5281/zenodo.5227610 due to size restrictions]<br> Contains all tracking resuls for each postprocessing configuration of the proposed cell tracking algorithm<br> the leaf folders are names run_xPOSTPROCESSING where x is the run number and POSTPROCESSING the postprocessing key<br> Postprocessing keys: ("no untangle" or "no masks" is indicated by an overline in the paper)<br> all ("untangle + masks" in the paper)<br> nd ("no untangle + masks")<br> nd_ns-l ("no untangle + no masks")<br> ns-l ("untangle + no masks")</p> <p> </p> <p> </p>
Glyphosate Crithidia Publication Supporting Datasets and Analysis Straw and Brown
<p>The raw data, analysis and meta-data for each individual analysis within the publication. </p> <p>Files prior to revision</p>
Extracted Ethereum transactions for July 2019 from the Ethereum in BigQuery public dataset
<p>Extracted Ethereum transactions for July 2019 from the Ethereum in BigQuery public dataset.</p>
The EGFRvIII Transcriptome in glioblastoma - public data repository
<p>Compiled dataset from a large omics EGFRvIII study.</p>
Austrian Science Fund (FWF) Publication Cost Data 2020
<p>The following data set provides information on the publication costs spent by the Austrian Science Fund (FWF) via the programmes Peer-reviewed Publications (<a href="https://www.fwf.ac.at/en/research-funding/fwf-programmes/peer-reviewed-publications/">https://www.fwf.ac.at/en/research-funding/fwf-programmes/peer-reviewed-publications/</a>) and Stand-Alone Publications (<a href="https://www.fwf.ac.at/en/research-funding/fwf-programmes/stand-alone-publications/">https://www.fwf.ac.at/en/research-funding/fwf-programmes/stand-alone-publications/</a>) in 2020.</p>
ScienceDex guides
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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.