Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
3
datasets available to search
ShareScore release 0.9.0
Dataset results
3 results for “repository transformation”
Data repository - Land use change and carbon emissions of a transformation to timber cities
<p>Data and model source code for the publication:</p> <p>Land use change and carbon emissions of a transformation to timber cities<br> (Nature Communications, 2022)<br> DOI: 10.1038/s41467-022-32244-w</p> <p>Abhijeet Mishra1,2,*, Florian Humpenöder1, Galina Churkina1, Christopher P.O. Reyer1, Felicitas Beier1,2, Benjamin Leon Bodirsky1, Hans Joachim Schellnhuber1, Hermann Lotze-Campen1,2, and Alexander Popp1</p> <p>1 Potsdam Institute for Climate Impact Research (PIK), Member of Leibniz Association, P.O.Box 60 12 03, 14412,6<br> Potsdam, Germany<br> 2 Humboldt University of Berlin, Department of Agricultural Economics, Unter den Linden 6, 10099 Berlin,8<br> Germany</p> <p>Abhijeet Mishra<br> *mishra@pik-potsdam.de<br> May 2022</p> <p>See README.txt for further details.</p>
Repository for "Direct simulation and machine learning structure identification unravel soft martensitic transformation and twinning dynamics"
<p>These files contain data and generation codes for figures, a numerical code for the analysis of structure factors, and a numerical code for the simulation, in an article "Direct simulation and machine learning structure identification unravel soft martensitic transformation and twinning dynamics".</p>
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>
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.