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102 results for “Data Model comparison”

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zenodo36/100

Euclid: Modelling massive neutrinos in cosmology — a code comparison (data record: data-snapshot-fiducial)

<p>This record is part of a distributed data set associated with the paper &lsquo;Euclid: Modelling massive neutrinos in cosmology &mdash; a code comparison&rsquo;. This record holds the <strong>simulation snapshot data&nbsp;for the fiducial simulations</strong>.</p> <p>See the <a href="https://doi.org/10.5281/zenodo.7297976">main&nbsp;repository</a>&nbsp;for details.</p>

opencc-by-4.0Nov 2022View details →
zenodo36/100

Euclid: Modelling massive neutrinos in cosmology — a code comparison (data record: data-ic-HR)

<p>This record is part of a distributed data set associated with the paper &lsquo;Euclid: Modelling massive neutrinos in cosmology &mdash; a code comparison&rsquo;. This record holds the <strong>initial condition data for the HR simulations</strong>.</p> <p>See the <a href="https://doi.org/10.5281/zenodo.7297976">main&nbsp;repository</a>&nbsp;for details.</p>

opencc-by-4.0Nov 2022View details →
zenodo36/100

Euclid: Modelling massive neutrinos in cosmology — a code comparison (data record: data-ic-1024Mpc)

<p>This record is part of a distributed data set associated with the paper &lsquo;Euclid: Modelling massive neutrinos in cosmology &mdash; a code comparison&rsquo;. This record holds the <strong>initial condition data for the 1024Mpc simulations</strong>.</p> <p>See the <a href="https://doi.org/10.5281/zenodo.7297976">main&nbsp;repository</a>&nbsp;for details.</p>

opencc-by-4.0Nov 2022View details →
zenodo36/100

Euclid: Modelling massive neutrinos in cosmology — a code comparison (data record: data-ic-fiducial)

<p>This record is part of a distributed data set associated with the paper &lsquo;Euclid: Modelling massive neutrinos in cosmology &mdash; a code comparison&rsquo;. This record holds the <strong>initial condition data for the fiducial simulations&nbsp;as well as the primordial phases used for all simulations</strong>.</p> <p>See the <a href="https://doi.org/10.5281/zenodo.7297976">main&nbsp;repository</a>&nbsp;for details.</p>

opencc-by-4.0Nov 2022View details →
zenodo36/100

Euclid: Modelling massive neutrinos in cosmology — a code comparison (data record: data-snapshot-0.15eV-HR-z0)

<p>This record is part of a distributed data set associated with the paper &lsquo;Euclid: Modelling massive neutrinos in cosmology &mdash; a code comparison&rsquo;. This record holds the <strong>simulation snapshot data&nbsp;for the&nbsp;0.15eV HR simulation at z = 0</strong>.</p> <p>See the <a href="https://doi.org/10.5281/zenodo.7297976">main&nbsp;repository</a>&nbsp;for details.</p>

opencc-by-4.0Nov 2022View details →
zenodo36/100

Euclid: Modelling massive neutrinos in cosmology — a code comparison (data record: data-snapshot-0.0eV-HR)

<p>This record is part of a distributed data set associated with the paper &lsquo;Euclid: Modelling massive neutrinos in cosmology &mdash; a code comparison&rsquo;. This record holds the <strong>simulation snapshot data&nbsp;for the 0.0eV HR&nbsp;simulation</strong>.</p> <p>See the <a href="https://doi.org/10.5281/zenodo.7297976">main&nbsp;repository</a>&nbsp;for details.</p>

opencc-by-4.0Nov 2022View details →
zenodo36/100

Euclid: Modelling massive neutrinos in cosmology — a code comparison (data record: data-snapshot-0.15eV-1024Mpc-z1)

<p>This record is part of a distributed data set associated with the paper &lsquo;Euclid: Modelling massive neutrinos in cosmology &mdash; a code comparison&rsquo;. This record holds the <strong>simulation snapshot data&nbsp;for the 0.15eV 1024Mpc simulation at z = 1</strong>.</p> <p>See the <a href="https://doi.org/10.5281/zenodo.7297976">main&nbsp;repository</a>&nbsp;for details.</p>

opencc-by-4.0Nov 2022View details →
zenodo36/100

Euclid: Modelling massive neutrinos in cosmology — a code comparison (data record: data-snapshot-0.15eV-1024Mpc-z0)

<p>This record is part of a distributed data set associated with the paper &lsquo;Euclid: Modelling massive neutrinos in cosmology &mdash; a code comparison&rsquo;. This record holds the <strong>simulation snapshot data&nbsp;for the 0.15eV 1024Mpc simulation at z = 0</strong>.</p> <p>See the <a href="https://doi.org/10.5281/zenodo.7297976">main&nbsp;repository</a>&nbsp;for details.</p>

opencc-by-4.0Nov 2022View details →
zenodo36/100

Euclid: Modelling massive neutrinos in cosmology — a code comparison (data record: data-snapshot-0.15eV-HR-z1)

<p>This record is part of a distributed data set associated with the paper &lsquo;Euclid: Modelling massive neutrinos in cosmology &mdash; a code comparison&rsquo;. This record holds the <strong>simulation snapshot data&nbsp;for the&nbsp;0.15eV HR simulation at z = 1</strong>.</p> <p>See the <a href="https://doi.org/10.5281/zenodo.7297976">main&nbsp;repository</a>&nbsp;for details.</p>

opencc-by-4.0Nov 2022View details →
zenodo36/100

MJO-QBO Model Inter-comparison Data

<p>Data in support of the paper &quot;The Lack of a QBO-MJO Connection in Climate Models with a Nudged Stratosphere&quot; by&nbsp;Zane K. Martin, Isla R. Simpson, Pu Lin, Clara Orbe, Qi Tang, Julie M. Caron, Chih-Chieh Chen, Hyemi Kim, L. Ruby Leung, Jadwiga H. Richter, and Shaocheng Xie, currently in preparation for submission.</p> <p>Data is organized by model, then ensemble member, then the temporal data resolution.</p> <p>Daily data are daily model OLR (olr/) and precipitation (precip/) in lat/lon/time format, over at least the tropical region spanning all longitudes and 20N to 20S.&nbsp;Daily data also include the Real-time Multivariate MJO index (RMM; RMM_index/) value from each model and ensemble members. OLR and precip files are provided on a 2.5 x 2.5 degree similar grid, rather than the models&#39; native grid.</p> <p>Monthly data are temperature (temp/, at all vertical levels and all longitudes, from at least 20N to 20S, and the 100 hPa&nbsp;temperature file, as described more in the paper) zonal&nbsp;wind (at all vertical levels, and the 50 hPa wind file; wind/), and TEM vertical velocity (wtem/).</p>

opencc-by-4.0Feb 2023View details →
zenodo36/100

Data used to create figures and tables in the GMD manuscript "Inter-comparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1) in eastern China"

<p>This dataset contains all simulation output and observational data of ground-based/satellite-retrieved meteorological and air quality for computing statistical metrics in the GMD manuscript &quot;Inter-comparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1) in eastern China&quot;, as follows:</p> <p>1. Simulation and observational results of meteorological and air quality including four folders:</p> <p>&nbsp; &nbsp; &nbsp;Day_PBLH: Daily PBLH data</p> <p>&nbsp; &nbsp; &nbsp;Hour_air: Hourly air quality data regarding PM2.5, O3, SO2, NO2 and CO</p> <p>&nbsp; &nbsp; &nbsp;Hour_met: Hourly meteorological data regarding T2, Q2, RH2, WS10 and precipitation</p> <p>&nbsp; &nbsp; &nbsp;Hour_radiation: Hourly surface radiation data</p> <p>2.&nbsp;Simulation and satellite-retrieved results of meteorological and air quality including nine folders:</p> <p>&nbsp; &nbsp; AOD: Yearly and seasonal AOD data</p> <p>&nbsp; &nbsp; CF: Yearly and seasonal CF&nbsp;data</p> <p>&nbsp; &nbsp; CO: Yearly and seasonal CO&nbsp;data</p> <p>&nbsp; &nbsp; LWP: Yearly and seasonal LWP&nbsp;data</p> <p>&nbsp; &nbsp; NO2: Yearly and seasonal NO2&nbsp;data</p> <p>&nbsp; &nbsp; O3: Yearly and seasonal O3&nbsp;data</p> <p>&nbsp; &nbsp; Precipitation: Yearly and seasonal precipitation&nbsp;data</p> <p>&nbsp; &nbsp; Radiation: Yearly and seasonal radiation&nbsp;data</p> <p>&nbsp; &nbsp; SO2: Yearly and seasonal SO2&nbsp;data</p>

opencc-by-4.0Mar 2023View details →
zenodo36/100

Euclid: Modelling massive neutrinos in cosmology — a code comparison (data record: data-figure)

<p>This record is part of a distributed data set associated with the paper &lsquo;Euclid: Modelling massive neutrinos in cosmology &mdash; a code comparison&rsquo;. This record holds the <strong>data needed for generating all figures</strong>.</p> <p>See the <a href="https://doi.org/10.5281/zenodo.7297976">main&nbsp;repository</a>&nbsp;for details.</p>

opencc-by-4.0Nov 2022View details →
zenodo36/100

Data used to simulations in the GMD manuscript "Inter-comparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1) in eastern China"

<p>This dataset contains input data of simulations by WRF-CMAQ, WRF-Chem and WRF-CHIMERE&nbsp;in the GMD manuscript &quot;Inter-comparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1) in eastern China&quot;, as follows:</p> <p>1. WRF-CMAQ input data including emission, ICs and lateral BCs of meteorology and air quality:</p> <p>YYYYMM.zip represents the input data for each month for simulations.&nbsp;Due to the large size of the compressed file containing input data each month, there may be interruptions when uploading it to Zenodo. Therefore, we will split each compressed file into 50MB. If users want to browse the file, they can download the segmented files, and then merge them into the YYYYMM.zip file using the Linux command line &quot;unzip &#39;YYYYMM.zip.*&#39; -d combined&quot;</p>

opencc-by-4.0May 2023View details →
zenodo36/100

The data of "A comparison of citation-based clustering and topic modeling for science mapping"

<p>These files consist of the data used in &quot;A comparison of citation-based clustering and topic modeling for science mapping&quot;.&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Sep 2023View details →
zenodo36/100

Case study result data set for the submitted article "Implications of hydrogen import prices for the German energy system in a model-comparison experiment"

<p>The data set contains result data for the German energy system in a long term scenario (scenario year 2045) as described in the publication "Implications of hydrogen import prices for the German energy system in a model-comparison experiment". The results have been generated with the models REMod of&nbsp;Fraunhofer Institute for Solar Energy Systems ISE, Enertile of&nbsp;Fraunhofer Institute for Systems and Innovation Research ISI, and SCOPE SD of Fraunhofer Institute for Energy Economics and Energy System Technology IEE.</p><p><strong>Abbreviations:</strong></p><ul><li>BEV - Battery Electric Vehicles</li><li>CC - Combined Cycle</li><li>CCGT - Combined Cycle Gas Turbine</li><li>CHP - Combined heat and power</li><li>CO2 - Carbon dioxide</li><li>con - consumption</li><li>FC - Fuel Cell</li><li>FCEV - Fuel Cell Electric Vehicle</li><li>gen - generation</li><li>H2 - Hydrogen</li><li>HT - High temperature</li><li>ICE - Internal Combustion Engine</li><li>LDV - Light-Duty Vehicle</li><li>LT - Low temperature</li><li>med - medium</li><li>OC - Open Cycle</li><li>OCGT - Open Cycle Gas Turbine</li><li>PHEV - Plug-In Hybrid Vehicles</li><li>PS - Pumped Storage</li><li>PV - Photovoltaics</li><li>ST - Steam turbine</li><li>SynFuel - Synthetic fuel</li><li>w/ - with</li><li>w/o - without</li><li>yr - year</li></ul>

opencc-by-4.0Oct 2023View details →
dryad36/100

Data from: Functional traits and community composition: a comparison among community-weighted means, weighted correlations, and multilevel models

Open the record for dataset details and reuse information.

publicNov 2018View details →
dryad36/100

Nucula specimen data used for: Testing the ‘Plus ça Change’ model: A comparison of Nuculid bivalve evolution across contrasting broad-scale climatic regimes

Open the record for dataset details and reuse information.

publicMay 2025View details →
dryad36/100

Data from: Cardiac dysfunction in C57Bl/6J mice with chronic kidney disease shows sex-specific effects: Comparison of dietary adenine and 5/6 nephrectomy models

Open the record for dataset details and reuse information.

publicOct 2025View details →
dryad36/100

Data for: Diversification models conflate likelihood and prior, and cannot be compared using conventional model-comparison tools

Open the record for dataset details and reuse information.

publicMar 2023View details →
zenodo32/100

Data from a model inter-comparison study to examine limiting factors in modelling Australian tropical savannas

<p>The modelling results of Whitley et al. (2016), consisting of the models BESS, BIOS2, CABLE, LPJ-GUESS, MAESPA and SPA, for five sites along the North-Australian Tropical Transect.</p> <p><strong>References</strong><br> Whitley, R., Beringer, J., Hutley, L.B., Abramowitz, G., De Kauwe, M.G., Duursma, R., Evans, B., Haverd, V., Li, L., Ryu, Y., Smith, B., Wang, Y.-P., Williams, M., Yu, Q., 2016. A model inter-comparison study to examine limiting factors in modelling Australian tropical savannas. Biogeosciences 13, 3245&ndash;3265. https://doi.org/10.5194/bg-13-3245-2016</p> <p>&nbsp;</p>

opencc-by-4.0Feb 2020View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record