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408 results for “data repositories”
Data Repository Accompanying "Controllable single Cooper pair splitting in hybrid quantum dot systems"
<p>Code and datasets associated with the manuscript " Controllable single Cooper pair splitting in hybrid quantum dot systems". With the code and data included here, all necessary fits and analysis can be conducted to produce the figures given in the manuscript and its supplementary material. The only exception is that we include the results of the quantum dot stability diagram simulation, however this simulation involves no new physics and the procedure is described in detail in the manuscript's supplementary information.</p>
List of research data repositories that were shut down
<p>This dataset aggregates information about 191 research data repositories that were shut down. The data collection was based on the registry of research data repositories re3data and a comprehensive content analysis of repository websites and related materials. Documented in the dataset are the period in which a repository was active, the risks resulting in its shutdown, and the repositories taking over custody of the data after.</p>
"Outgassing Composition of the Murchison Meteorite: Implications for Volatile Depletion of Planetesimals and Interior-Atmosphere Connections for Terrestrial Exoplanets" Data Repository
<p>This repository contains the data files, analysis Jupyter notebooks and figures from Thompson et al. 2023 "Outgassing Composition of the Murchison Meteorite: Implications for Volatile Depletion of Planetesimals and Interior-Atmosphere Connections for Terrestrial Exoplanets"</p>
Return on Investment Metrics for Data Repositories in Earth and Environmental Sciences
Despite a growing recognition of the importance of data to the economy and to science, investment in repositories to manage and disseminate that data in easily accessible and understandable ways is scarce. Keeping repository services active and up-to-date for a long time period is difficult due to this funding situation. As a result, repositories must continually provide proof of their value, their Return on Investment (ROI) to their sponsors; yet doing so has always been difficult, problematic and not always successful. In this work, an analysis of approaches for assessing the ROI of several scientific data repositories has identified various techniques that repositories use to report on the impact and value of their data products and services. A survey of selected repositories rated the set of metrics identified and rated each by its importance as well as the ease with which the metric could be measured. The discussion is broken down into considerations for calculating costs, perceived value of repositories and suggested metrics that would allow a repository to calculate an ROI. The authors, representatives of environmental data repositories, concluded that easily obtainable data use metrics, such as data downloads, etc., have limited value while more informative analyses would require additional resources.
Luquillo Critical Zone Observatory (LCZO) Data repository on HydroShare
Data archive for the Luquillo Critical Zone Observatory (LCZO), Puerto Rico. Active from 2009 to 2020. The archive is here: https://www.hydroshare.org/group/144 LCZO focuses on how Critical Zone processes and water balances differ in tropical landscapes with contrasting bedrock but similar climatic and environmental histories. Our infrastructure, sampling strategy, and data management system include watersheds underlain by granodiorite (GD) and volcaniclastic (VC) bedrock in the natural laboratory of the Luquillo Mountains, Puerto Rico. LCZO is one of ten NSF-supported critical zone observatories. The archive is here: https://www.hydroshare.org/group/144 An additional dataset on Forest and Ground Cover classification, DEM, and Beryllium-10 data for the Luquillo Experimental Forest has been published here: https://doi.org/10.4211/hs.0181f4621d184a89a625ee16dd9858a6 An additional datasets for LCZO -- Stream Water Chemistry, Meteorology -- Environmental Monitoring -- Luquillo Mountains -- (2014-Ongoing) https://www.hydroshare.org/resource/b05e1645887f4122a284719bb6cb70dc/ Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Data repository for the paper "Tectonics and seismicity in the Northern Apennines driven by slab retreat and lithospheric delamination"
<p>Output data from a numerical modeling study analyzing the Tectonics and seismicity of the Northern Apennines in relation to the geodynamic mechanism (slab retreat and crustal delamination) suggested to be driving the orogenic system.</p> <p>Understanding how long-term subduction dynamics relates to short-term seismicity and crustal tectonics is a challenging but crucial topic in seismotectonics. We attempt to address this issue in the context of the Northern Apennines orogenic belt, which displays characteristic tectonic and seismogenic behaviors on a wide range of spatiotemporal scales. We use a visco-elasto-plastic seismo-thermo-mechanical (STM) modeling approach with a realistic 2D setup based on available geological and geophysical data. In accordance with regional geodynamics, subduction dynamics and seismicity are simulated together, driven solely by slab pull. Our numerical experiments suggest that lower crustal rheology and lithospheric mantle temperatures modulate the crustal tectonics of the Northern Apennines. Results indicate that the observed spatial distribution of the upper crustal tectonic regimes requires buoyant and highly ductile material beneath the suture zone. This allows protrusion of the asthenosphere in the lower crust, lithospheric delamination, and slab retreat. The resulting horizontal velocities and principal stress axis orientations agree with observations, suggesting that slab delamination and retreat are compatible with regional deformation. Our simulations successfully reproduce the presence of seismicity in the thrust front and on normal faults in the interior of the range. Slab temperatures and lithospheric mantle stiffness distinctly affect the cumulative seismic moment release and the spatial distribution of upper crustal earthquakes. The properties of deep, sub-crustal material are thus shown to influence model shallow seismicity, even though the upper crust is largely mechanically decoupled from the lithospheric mantle. Our simulations therefore highlight the important effect of deep crustal rheologies and self-driven subduction dynamics in controlling the shallow, brittle deformation and related seismicity during an ongoing orogeny.</p> <p>The repository consists of the following: 1) the executable code for running the model (i2_istm and in2_istm, the latter of which is used to initialise the model); 2) the setting files for which timesteps to output (mode.t3c and mode_istm.t3c, the latter of which is for the short-term phase of the model), the model setting files (init_istm.t3c), rock type and temperature setup images (prf_app.tif and tfin.tif, respectively); and 3) the output quantities in the model for the last timestep in HDF5 format (app400.gzip.h5), the list of ruptured markers (pick_events_app.txt) and GPS-station-like markers at the surface (eachdt_gpsmarker_app.txt), and the time limits used for computing average velocities from the GPS marker positions (timelims.mat).</p> <p>The files used for the figures in the paper relate to the reference model and 9 other models: 2 models with different rheology for the Adriatic lower crust, 2 models with different temperatures in the mantle, and 5 models with different shear modulus in the Adriatic lithospheric mantle. The two models with different lower crust rheology (granulite and plagioclase) were not run in short-term mode and therefore no GPS-like or ruptured markers logs are available for them. Descriptive prefixes are used to identify which model each file refers to. The rock type setup is common to all models included here. The reference temperature setup is also used for the models with different shear modulus in the slab and the model with granulite lower crust rheology. The model with plagioclase lower crust rheology has a different temperature setup with a hotter lower crust, as mentioned in the paper; it is not a simple exploration of the effect of rheology, but an attempt to get the lower crust to be very ductile through a combination of a ductile rheology (but less so than in the reference model) and high temperatures.</p> <p>For information about the modeling code, setup, results, and interpretation, please refer to the paper. This repository will be updated with the final paper information after publication.</p>
Open data repository, Boehm-Sturm et al., Phenotyping placental oxygenation in Lgals1 deficient mice using 19F MRI
<p>Open data repository of journal article "Phenotyping placental oxygenation in Lgals1 deficient mice using <sup>19</sup>F MRI"</p>
Piburgersee core meta data repository for the publication "Seismic control of large prehistoric rockslides in the Eastern Alps"
<p>This dataset comprises the core meta data of Plansee, which is the basis for the publication Oswald et al. "Seismic control of large prehistoric rockslides in the Eastern Alps".</p> <p>The core meta data belongs to a 8m long sediment core composed of 12 individual core sections (see Plansee_core_data.xlsx). For each individual core section the core image (_coreimage.jpg), the CT data (_CT.rar), XRF data, (_XRF.txt) and multi-sensor core logging data (_MSCL.csv) are provided.</p>
Plansee seismic and core meta data repository for the publication "Seismic control of large prehistoric rockslides in the Eastern Alps"
<p>This dataset comprises the raw seismic data and core meta data of Plansee, which is the basis for the publication Oswald et al. "Seismic control of large prehistoric rockslides in the Eastern Alps".</p> <p>Seismic profiles are provided as .SGY files (Plansee_seismics_SGYfiles.rar)</p> <p>The core meta data belongs to a 7m long sediment core composed of 10 individual core sections (see Plansee_core_data.xlsx). For each individual core section the core image (_coreimage.jpg), the CT data (_CT.rar) and multi-sensor core logging data (_MSCL.csv) are provided.</p>
Societies in balance: Monumentality and feasting activities among southern Naga communities, Northeast India (Data repository)
<p>The files provide supplementary information for the paper "Societies in balance: Monumentality and feasting activities among southern Naga communities, Northeast India".</p> <p>In accordance with the content and research questions of the article, this repository includes information on the megalithic monuments, as well as transcripts of the interviews conducted in the village of Rünguzu (Nagaland, India). Therefore, both the quantitative, and the qualitative results presented in the article could be reconstructed and reproduced on the basis of this repository.</p> <p>Information concerning the megalithic monuments of all the villages included in the analyses of the article are given in .csv format. The files include details of the monument type, the orientation of the monuments, the metric measures of the monuments, as well as the social affiliation of the monument builders (if available). These data are the basis for the comparative analyses of the megalithic monuments of the different villages, as well as the detailed analyses of the village Rünguzu. All box plots and bar charts presented in the article are completely based on the data made available here.</p> <p>Secondly, this repository includes transcripts of the interviews which were conducted in the village of Rünguzu. The qualitative descriptions of the village structure itself, the feasting activities, as well as the details of megalithic building activities are based on these interviews. Additionally, social anthropological literature and studies were vital as additional sources of information. The transcripts are, apart from the interviewers, completely anonymised in accordance to ethical standards in the publication of interviews.</p>
PFP data repository
<p>This archive contains the data shown in most Figures of the article:</p> <p>von der Gathen, P., R. Kivi, I. Wohltmann, R. J. Salawitch, M. Rex, Climate change favours large seasonal loss of Arctic ozone, Nat. Commun. <strong>12</strong>, 3886 (2012). https://doi.org/10.1038/s41467-021-24089-6</p> <p>as well as some data sets used in the manuscript. In case of problems, please contact</p> <p>Peter von der Gathen <Peter.von.der.Gathen@awi.de><br> </p>
Data repository for Global wood harvest is sufficient for climate-friendly transitions to timber cities
<p><strong>Supplementary Information S2</strong></p> <p><strong>Global wood harvest is sufficient for climate-friendly transitions to timber cities | <a href="https://doi.org/10.1038/s41893-025-01605-w" target="_blank" rel="noopener">Nature Sustainability</a></strong></p> <p>Alperen Yayla <sup>1,a</sup>; Adam R. Mason <sup>1,b</sup>; Junyang Wang <sup>1,2,c</sup>; Stijn van Ewijk <sup>3,d</sup>; Rupert J. Myers <sup>1,e,*</sup></p> <p><sup>1</sup> Department of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, United Kingdom</p> <p><sup>2</sup> Department of Mathematics, Imperial College London, London, SW7 2AZ, United Kingdom</p> <p><sup>3</sup> Department of Civil, Environmental & Geomatic Engineering, University College London, London, WC1E 6BT, United Kingdom</p> <p>* Corresponding author</p> <p><sup>a </sup><a href="mailto:a.yayla22@imperial.ac.uk">a.yayla22@imperial.ac.uk</a>, <sup>b</sup> <a href="mailto:a.mason19@imperial.ac.uk">a.mason19@imperial.ac.uk</a>, <sup>c</sup> <a href="mailto:junyang.wang21@imperial.ac.uk">junyang.wang21@imperial.ac.uk</a>, <sup>d</sup> <a href="mailto:s.vanewijk@ucl.ac.uk">s.vanewijk@ucl.ac.uk</a>, <sup>e</sup> <a href="mailto:r.myers@imperial.ac.uk">r.myers@imperial.ac.uk</a>.</p>
Data repository accompanying "Flux-tunable Josephson Effect in a Four-Terminal Junction"
Open the record for dataset details and reuse information.
Superadditive Communications with the Green Machine: Online Data Repository
<p>This online repository contains selected datasets and scripts for data processes in the paper "Superadditive Communications with the Green Machine: A Practical Demonstration of Nonlocality without Entanglement". arXiv.2310.05889</p>
Data and code repository for the "Uncertainties in cloud-radiative heating within an idealized extratropical cyclone"
<p><strong>Author:</strong> Behrooz Keshtgar, behrooz.keshtgar@kit.edu</p> <p>This archive contains the post-processed data used to generate the figures and the code repository for the publication "Uncertainties in cloud-radiative heating within an idealized extratropical cyclone" by Behrooz Keshtgar, Aiko Voigt, Bernhard Mayer and Corinna Hoose.</p> <p>Description of the <strong>data</strong>:</p> <p>figure1.nc: precipitation rate, cloud cover, surface pressure, and cloud classes on day 4.5 of the ICON-NWP baroclinic life cycle simulation.</p> <p>figure2.nc: spatially and temporally averaged profiles of cloud water, ice mass content, and cloud fractions from ICON-LEM simulations.</p> <p>figure4.nc: spatially and temporally averaged cloud-radiative heating profiles from ICON-LEM simulations and offline radiation calculations for each LEM domain.</p> <p>figure5.nc: cross-section of radiative heating rates for 3D and 1D radiative transfer calculations in the shallow cumulus domain.</p> <p>figure6.nc: spatially averaged cloud-radiative heating profiles from 3D and 1D radiation calculations for each LEM domain.</p> <p>figure7.nc: cross-section of cloud-radiative heating calculated with the ice optics of Fu and Baum_ghm in the WCB ascent region.</p> <p>figure8.nc: spatially and temporally averaged profiles of cloud-radiative heating from 1D radiation calculations with different ice optics for each LEM domain.</p> <p>figure9.nc: spatially and temporally averaged profiles of cloud-radiative heating from 1D radiation calculations with LEM and NWP clouds for each LEM domain.</p> <p>figure10.nc: spatially and temporally averaged density and cloud-radiative heating profiles from different offline radiation calculations for each LEM domain.</p> <p>figure11.nc: profiles of the mean absolute difference of cloud-radiative heating from different offline radiation calculations at different resolutions for each LEM domain.</p> <p> </p> <p>The <strong>keshtgar-etal-2024-cyclone-crh-uncertainties-main.zip</strong> is the copy of the published git repository for the model run and analysis scripts. The repository contains</p> <p>- Scripts for the ICON model simulations</p> <p>- Scripts for the offline radiative transfer calculations with LibRadTran and the post-processing routine</p> <p>- Python scripts and Jupyter Notebooks for the analysis in the paper</p>
Data and code repository for «Magnetic Order in Nanoscale Gyroid Netwoks»
<p>Data and Code repository for </p> <p>«Magnetic Order in Nanoscale Gyroid Netwoks»</p> <p>Ami S. Koshikawa, Justin Llandro, Masayuki Ohzeki, Shunsuke Fukami, Hideo Ohno, and Naëmi Leo</p> <p>Physical Review B 108, 024414 (2023)</p> <p>https://doi.org/10.1103/PhysRevB.108.024414</p>
Data and literature repository for "Climate Futures are Political Futures: Integrating Political Development Into the Shared Socioeconomic Pathways (SSPs)"
<p>The datasets provided in the repository (listed in Table 1 of the manuscript):</p> <ul> <li>Governance (Andrijevic et al., 2020)*</li> <li>Government effectiveness (Andrijevic et al., 2020)*</li> <li>Violent conflict (Hegre et al., 2016)</li> <li>Rule of law (update to the Soergel et al., 2021)</li> </ul> <p>*Please note that these two variables can be found in the same data file.<br><br></p> <p>The indicators can also be retrieved through the <a href="https://ssp-extensions.apps.ece.iiasa.ac.at/">SSP Extensions Explorer.</a> <br><br><strong><br>For applications of the projections of political indicators in further analyses, please consult the following references: </strong> </p> <p>Brutschin, E., Pianta, S., Tavoni, M., Riahi, K., Bosetti, V., Marangoni, G., & Van Ruijven, B. J. <a href="https://iopscience.iop.org/article/10.1088/1748-9326/abf0ce/meta">A multidimensional feasibility evaluation of low-carbon scenarios.</a> <em>Environmental Research Letters </em>2021, <em>16</em>(6), 064069.</p> <p>Gidden MJ, Brutschin E, Ganti G, Unlu G, Zakeri B, Fricko O<em>, et al. </em><a title="https://iopscience.iop.org/article/10.1088/1748-9326/acd8d5" href="https://iopscience.iop.org/article/10.1088/1748-9326/acd8d5">Fairness and feasibility in deep mitigation pathways with novel carbon dioxide removal considering institutional capacity to mitigate</a>. <em>Environmental Research Letters </em>2023, <strong>18</strong>(7)<strong>: </strong>074006. </p> <p>Hoch JM, de Bruin SP, Buhaug H, Von Uexkull N, van Beek R, Wanders N. <a title="https://iopscience.iop.org/article/10.1088/1748-9326/ac3db2" href="https://iopscience.iop.org/article/10.1088/1748-9326/ac3db2">Projecting armed conflict risk in Africa towards 2050 along the SSP-RCP scenarios: a machine learning approach</a>. <em>Environmental Research Letters </em>2021, <strong>16</strong>(12)<strong>: </strong>124068. </p> <p>Joshi DK, Hughes BB, Sisk TD. <a title="https://www.sciencedirect.com/science/article/abs/pii/S0305750X15000145" href="https://www.sciencedirect.com/science/article/abs/pii/S0305750X15000145">Improving governance for the Post-2015 Sustainable Development Goals: Scenario forecasting the next 50 years</a>. <em>World Development </em>2015, <strong>70: </strong>286-302. </p> <p>Moyer JD. <a title="https://www.sciencedirect.com/science/article/pii/S0305750X23000062" href="https://www.sciencedirect.com/science/article/pii/S0305750X23000062">Blessed are the peacemakers: The future burden of intrastate conflict on poverty</a>. <em>World Development </em>2023, <strong>165: </strong>106188. </p> <p>Moyer JD, Turner SD, Meisel CJ. <a title="https://journals.sagepub.com/doi/abs/10.1177/0022343320929740" href="https://journals.sagepub.com/doi/abs/10.1177/0022343320929740">What are the drivers of diplomacy? Introducing and testing new annual dyadic data measuring diplomatic exchange</a>. <em>Journal of Peace Research </em>2021, <strong>58</strong>(6)<strong>: </strong>1300-1310. </p> <p>Petrova, K, Olafsdottir, G, Hegre, H, Gilmore, EA (2023). <a title="https://iopscience.iop.org/article/10.1088/1748-9326/acb163" href="https://iopscience.iop.org/article/10.1088/1748-9326/acb163">The ‘conflict trap’ reduces economic growth in the shared socioeconomic pathways</a>. <em>Environmental Research Letters</em>, 2023, <strong>18</strong>(2), 024028. </p>
Data Repository submission for "The influence of density driven mixing mechanisms on ureolysis induced carbonate precipitation"
<p>This folder includes the data and files that support the manuscript titled "The Influence of Density-Driven Mixing Mechanisms on Ureolysis-Induced Carbonate Precipitation". Please see included Readme for more information.</p>
Data repository for "Genesis and timing of KREEP-free lunar Mg-suite magmatism indicated by the first norite meteorite Arguin 002"
<p>This is the data repository for paper entitled "Genesis and timing of KREEP-free lunar Mg-suite magmatism indicated by the first norite meteorite Arguin 002". This data repository includes two EXCEL (.xlsx) files representing the dataset necessary to interpret, replicate and build upon the methods or findings reported in the article.</p> <p>Regarding the EXCEL file named "Supplementary Data 1", it incorporates the mineral EPMA compositions (Table S1), mineral trace-element compositions (Table S2), bulk chemistry (Table S3), SIMS U-Pb results (Table S4), and mineral modal abundances and the launch-region identification results (Table S5) in the comprehensive study of the lunar norite meteorite, Arguin 002.</p> <p>Regarding the EXCEL file named "Supplementary Data 2", it incorporates analyses of reference materials in EPMA (Table S1), LA-ICP-MS (Table S2), ICP-MS (Table S3), and SIMS (Table S4).</p>
Data & code repository for "A re-appraisal of the ENSO response to volcanism with paleoclimate data assimilation"
<p>This repository includes the data and code that can be used to reproduce the figures for the paper entitled <em>A re-appraisal of the ENSO response to volcanism with paleoclimate data assimilation</em>.</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.