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ShareScore release 0.9.0
Dataset results
87 results for “Magpie”
Brood parasitism, provisioning rates and breeding phenology of male and female magpie hosts
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Data from: High level of extrapair fertilizations in individual Tibetan azure-winged magpies and their adaptive responses
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Data for: Cooperative partnerships of the azure-winged magpie shift from kin to non-kin during colonization of the Tibetan Plateau
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Age-related brood parasitism and egg rejection in magpie hosts
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Population scenarios derived for the FSEC MAgPIE scenarios
<p>Population scenarios for SSP1 and SSP2, derived using the `calcGridPop_new` function in the `mrmagpie` package (version 1.23.15). Underlying this function is the population scenarios of Jones and O'Neill (2016). This data set is archived for use in the MAgPIE scenario analyses, which were derived by the Food System Economics Commission.</p> <p>-- References</p> <p>B Jones and B C O'Neill 2016 <em>Environ. Res. Lett.</em> <strong>11</strong> 084003</p> <p>Karstens K, Dietrich J, Chen D, Windisch M, Alves M, Beier F, v. Jeetze P, Mishra A, Humpenoeder F (2022). <em>mrmagpie: madrat based MAgPIE Input Data Library</em>. doi: 10.5281/zenodo.4319612 (URL: <a href="https://doi.org/10.5281/zenodo.4319612">https://doi.org/10.5281/zenodo.4319612</a>), R package version 1.23.15, <URL: <a href="https://github.com/pik-piam/mrmagpie%3E">https://github.com/pik-piam/mrmagpie></a>.</p>
MAgPIE 4.0 paper - model runs
<p>Archive of runs produced for the MAgPIE 4 modeling framework paper.</p>
Dataset and Python Scripts used in the manuscript "Global-MHD Simulations using MagPIE : Impact of Flux Transfer Events on the Ionosphere"
<p>Dataset and Python Scripts used in the manuscript "Global-MHD Simulations using MagPIE : Impact of Flux1 Transfer Events on the Ionosphere"</p> <p>Author: Arghyadeep Paul, Antoine Strugarek and Bhargav Vaidya<br> Date: 21 May, 2023</p> <p><br> Figure 1 has been plotted from two data files named C0_320.vtk and c1_320.vtk using the visualisation toolkit VisIt. Visit can be freely downloaded from https://wci.llnl.gov/simulation/computer-codes/visit</p> <p>Figure 2 has been plotted using the ipython notebook named "figure_2.ipynb"</p> <p><br> Figure 3 has been plotted using the data file named "t_4964.vtk" and the visualisation toolkit VisIt.</p> <p><br> Figure 4 has been plotted using the ipython notebook named "figure_4.ipynb"</p> <p><br> Figure 5 has been plotted using the ipython notebook named "figure_5.ipynb"</p> <p><br> Figure 6 has been plotted using the ipython notebook named "figure_6.ipynb"</p> <p><br> Figure 7 has been plotted using the ipython notebook named "figure_7.ipynb"</p> <p><br> Figure 8 has been plotted using the ipython notebook named "figure_8.ipynb"</p> <p><br> Figure 9 has been plotted using the ipython notebook named "figure_9.ipynb"</p> <p><br> All the associated data files are uploaded with the ipython notebooks</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.