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315
datasets available to search
ShareScore release 0.9.0
Dataset results
315 results for “Zeros”
Zero-ischemia Robot-assisted Partial Nephrectomy Using Near-infrared Fluorescence
ClinicalTrials.gov study NCT03679572. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Zero-fluoroscopy Approach Versus Fluoroscopic Approach for the Ablation of Paroxysmal Supraventricular Tachycardia
ClinicalTrials.gov study NCT03042078. IPD Sharing: NO. Countries: 1. Publications: 6.
Zero Fluoroscopic Ablation Versus Conventional Fluoroscopic Ablation for Right Atrial Arrhythmias
ClinicalTrials.gov study NCT03151278. IPD Sharing: NO. Countries: 1. Publications: 5.
Promoting Zero-time Exercise in Patients With Coronary Heart Disease
ClinicalTrials.gov study NCT03464331. IPD Sharing: NO. Countries: 1. Publications: 1.
Zero-fluoroscopic Navigation Versus Conventional Fluoroscopic Navigation for Single-chamber Pacemaker Implantation
ClinicalTrials.gov study NCT03118440. IPD Sharing: NO. Countries: 1. Publications: 7.
ZEPLAST- PED: ZEro_PLASma Trial in Small Infants Undergoing Cardiac Surgery
ClinicalTrials.gov study NCT04434001. IPD Sharing: NO. Countries: 1. Publications: 5.
Data for: Sub-zero temperatures and large-scale weather patterns induce tooth damage in Icelandic arctic foxes
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Data from: How can we get close to zero?: the potential contribution of biomedical prevention and the investment framework towards an effective response to HIV
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Data from: Warming enhances sedimentation and decomposition of organic carbon in shallow macrophyte-dominated systems with zero net effect on carbon burial
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Nanoscale zero-valent iron loaded vermiform expanded graphite for the removal of Cr (VI) from aqueous solution
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Biomass material - undulating venus shell - supported nanoscale zero-valent iron for the adsorption of Pb2+ and Cd2+ ions in aqueous solution
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Signature of a pair of Majorana zero modes in superconducting gold surface states
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Data Repository - From net-zero to zero-fossil in transforming the EU energy system
<p>This is the data repository to reproduce the analysis of the manuscript "From net-zero to zero-fossil in transforming the EU energy system", which is currently under review for publication in a scientific journal. </p> <p>The source code for the REMIND version used in this study is available at <a href="https://github.com/fschreyer/remind/tree/FossilFree_master">https://github.com/fschreyer/remind/tree/FossilFree_master.</a> The scenario config file that was used to start the specific model runs of the analysis including all scenario-specific model settings can be found in the repository under <a href="https://github.com/fschreyer/remind/blob/FossilFree_master/config/scenario_config_fossilfree.csv">./config/scenario_config_fossilfree.csv</a>. The repository is a fork with slight changes relative to the main release version available at <a href="https://github.com/remindmodel/remind/tree/v3.3.1">https://github.com/remindmodel/remind/tree/v3.3.1</a> and <a href="https://zenodo.org/records/12104410">https://zenodo.org/records/12104410</a>. A general model documentation can be found at <a href="https://rse.pik-potsdam.de/doc/remind/3.2.0">https://rse.pik-potsdam.de/doc/remind/3.2.0</a>. </p> <p>The data repository contains the following files:</p> <p>data</p> <ul> <li>FossilFree_Plot.Rmd - R markdown file used for the analysis.</li> <li>AllScenarioData.mif - Data file containing REMIND scenario output data used for the analysis.</li> <li>MainFigures.xlsx - Data file containing all data plotted in main figures of the text.</li> <li>SIFigures.xlsx - Data file containing all data plotted in extended data figures and supplementary figures of the text.</li> <li>data folder: containing data and mapping files used for the FossilFree_Plot.Rmd script</li> <li>scripts folder: containing additional scripts and functions used in the FossilFree_Plot.Rmd script</li> </ul> <p>Note that we cannot provide the AR6 scenario data here. Please refer to <a href="https://zenodo.org/records/7197970">https://zenodo.org/records/7197970</a>. </p> <p>Disclaimer: We here publish a comprehensive dataset of our model output which includes more data than what is needed to reproduce the figures of the paper. Those data can be helpful to compare and contextualize our scenarios or use them for further analyses. However, due to the scope and complexity of our modeling framework, these data need to be used with care. The data used for the analysis of this study have been thoroughly validated. However, we cannot always perform such validation for the whole dataset and data need to treated with caution in particular at high regional or sectoral resolution and with respect to aspects that were not in the focus of the study as there maybe artefacts or limitations of our modeling approach. Please contact us in case you would like to use our scenarios for further analyses. We welcome open and constructive exchange on our data. </p> <p>Contact:<br>Felix Schreyer<br>Potsdam Institute for Climate Impact Research<br>felix.schreyer@pik-potsdam.de</p>
Data supplement for paper on Gnuastro's zero point measurement script
<p>Data supplements to the paper titled "<em>Gnuastro: Estimating the Zero Point Magnitude in Astronomical Imaging"</em>, published in Research Notes of the American Astronomical Society (RNAAS) journal (<a href="https://arxiv.org/abs/2312.04263">arXiv:2312.04263</a>). This paper introduces a recently added program to GNU Astronomy Utilities (<a href="https://gnu.org/s/gnuastro">Gnuastro</a>). This repository contains all the necessary inputs and output data (listed below). This paper is written in <a href="https://maneage.org">Maneage</a> and its source is available in <a href="https://codeberg.org/gnuastro/papers/src/branch/zeropoint">Codeberg</a>. For more information on how to reproduce this paper, see the <a href="https://codeberg.org/gnuastro/papers/src/branch/zeropoint/README.md">README.md</a> and <a href="https://codeberg.org/gnuastro/papers/src/branch/zeropoint/README-hacking.md">README-hacking.md</a>. The version string e31dd15 (which is imprinted on some file names and hard-coded in others), represents the Git commit used for this publication. The source of this project is also archived in <a href="https://archive.softwareheritage.org/swh:1:dir:8b2d1f63be96de3de03aa3e2bb68fa7fa52df56f;origin=https://codeberg.org/gnuastro/papers;visit=swh:1:snp:e37e226bab517eef24d854467682b2fcf5d7dc32;anchor=swh:1:rev:ea682783d83707c0e1d114a5de74a100be9f545d">SoftwareHeritage</a>.</p> <p>A brief description of the contents in this repository:</p> <ul> <li><a href="../records/10256845/files/paper-e31dd15.pdf?download=1">paper-e31dd15.pdf</a>: The complete PDF of the paper.</li> <li><a href="../records/10256845/files/sdss-dr12-catalog.fits?download=1">sdss-dr12-catalog.fits:</a> SDSS DR12 catalog which overlaps with input image, to find the zero point magnitude with reference catalog (in this paper SDSS catalog is reference catalog).</li> <li><a href="../records/10256845/files/gaia-dr3-overlap-ra-dec.fits?download=1">gaia-dr3-overlap-ra-dec.fits</a>: Gaia catalog to use for finding stars in images.</li> <li><a href="../records/10256845/files/6-arcsec-zp-with-ref-img.txt?download=1">6-arcsec-zp-with-ref-img.txt</a>: Output data files that are used in the demonstration the pink filled circles in left panel of plot in the paper.</li> <li><a href="../records/10256845/files/2-arcsec-zp-with-ref-img.txt?download=1">2-arcsec-zp-with-ref-img.txt</a>: Output data files that are used in the demonstration the blue filled circles in left panel of plot in the paper.</li> <li><a href="../records/10256845/files/6-arcsec-zp-with-ref-cat.txt?download=1">6-arcsec-zp-with-ref-cat.txt</a>: Output data files that are used in the demonstration the purple filled circles in right panel of plot in the paper.</li> <li><a href="../records/10256845/files/2-arcsec-zp-with-ref-cat.txt?download=1">2-arcsec-zp-with-ref-cat.txt</a>: Output data files that are used in the demonstration the yellow filled circles in right panel of plot in the paper. </li> </ul> <p>For any issues or questions on this project, please contact Sepideh Eskandarlou (corresponding author in PDF).</p>
France Treasury Nominal Zero-Coupon Yield Curves
<p>French Treasury Nominal Zero-Coupon Yield Curves from October 22, 1987, through October 20, 2023. The file contains the French zero-coupon yield curves we can construct using a Svensson methodology and <em>all</em> available public data of French nominal government debt securities<em> </em>called OATs (<em>Obligations Assimilables du Trésor</em>) from October 22, 1987, through October 20, 2023. Please consult Grishchenko, Moraux and Pakulyak (2020) for extended details on the methodology, model fit, etc.</p>
Quantifying the contribution of individual inputs used in Zero Budget Natural Farming
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Repository for Tarshish, Jeevanjee, and Fung (2025), "Cooling after net zero".
<p>See REAME.pdf below. </p>
Dataset of Performing Calculus with Epsilon-near-zero Metamaterials
<p>Dataset of <em>Performing Calculus with Epsilon-near-zero Metamaterials</em></p>
Zero dispersion Kerr solitons in optical microresonators
<p>Execution tested with Matlab 2020a or newer on Windows. Unzip folder to access files.</p> <p><br> Contact miles.anderson@epfl.ch for any serious questions on the contents.<br> All matlab code remains under copyright by the authors: Miles Anderson and Tobias J. Kippenberg, and is provided solely to be used to reproduce the figures of the aforementioned paper and example simulation results pertaining to the paper.</p> <p>Figure data and generation code is found in "Figure and Video Data\Scripts and Data". Run matlab scripts in the given folder to generate the figures. Other relevant figures containing data is found in "\Other".</p> <p>Four example matlab simulation scripts are found in "Simulation Example Code".</p> <ul> <li>Running 'lle_cavity_v4_SwitchWaveBasic_2g_2' models stable switching wave formation from pulse-driven wave-breaking amidst an adiabatic laser scan of the resonator.</li> <li>'lle_cavity_v4_SwitchWaveBasic_5g_2' does the same but now with third-order dispersion enabled. The output is used to plot in Figure 2 of the main paper.</li> <li>Running 'lle_cavity_v4_CubicDKS_DispersionRotation7_4b' finds the solution to the LLE for a pulse-contained dissipative structure while the dispersion is cycled through the d2/d3 circle, producing the results shown in Figure 1 of the main paper, as well as Figure S1 in the supplementary information and the video.</li> <li>Running 'lle_SiNcavity_v4_CDSFormation_15b' uses experimental data to reproduce the experiment for the pulse-driven ZDS(4) according to the LLE, the results of which are shown in Figure 5(c,d) of the main paper, and Figure S4 of the supplementary information.</li> </ul> <p>The script parameters may be modified to find results under different driving conditions over different time periods as required.</p> <p>M. Anderson apologises in advance for the complexity, readability, and optimisation of the script.</p>
REFLOW - Milan Foody Zero Waste Pilot Data
<p>Data collected by the Milan Pilot within the Reflow-EU-project context.</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.