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1,028 results for “simulation model”

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zenodo32/100

Rubin AOS Simulations and Trained AI Model

<p>This deposit saves the simulations of the Rubin Observatory AOS used to train a machine learning model for wavefront estimation. The simulations are in <em>aos_sims_archive.gz</em>. You can use gzip to unpack this archive, and there is a README that describes the format that the data was saved in. This simulated data was generated using the code in this repo:&nbsp;https://github.com/jfcrenshaw/donut-sims</p> <p>The trained ML model is also saved here. This model is defined, trained, etc in the code in this repo:&nbsp;https://github.com/jfcrenshaw/ml-aos</p>

opencc-by-4.0Sep 2023View details →
zenodo32/100

MAR model simulations 1990-2020 for the EastGRIP drilling site in Greenland

<ul> <li>MARv3.12&nbsp;forced by 6-hourly ERA-5 reanalysis product outputs&nbsp;</li> <li>Simulation period 01/1990-12/2020</li> <li>Model output&nbsp;given for&nbsp;closest grid cell to the EastGRIP drilling site (75.6&nbsp;N, 36.0 W), model domain covers all of Greenland</li> </ul> <p>MARv3.12&nbsp;outputs used and described in:</p> <ol> <li>Dietrich, L.J., Steen-Larsen, H.C., Wahl, S., Faber, A.K. and Fettweis, X., 2024. On the importance of the humidity flux for the surface mass balance in the accumulation zone of the Greenland Ice Sheet. The Cryosphere Discussions, <a href="https://doi.org/10.5194/tc-18-289-2024">https://doi.org/10.5194/tc-18-289-2024</a><br>&nbsp;</li> <li>Dietrich, L.J., Steen-Larsen, H.C., Wahl, S., Jones, T.R., Town, M.S.&nbsp;and Werner, M., 2023. Snow-atmosphere humidity exchange at the ice sheet surface alters annual mean climate signals in ice core&nbsp;records. Geophysical Research Letters, <a href="https://doi.org/10.1029/2023GL104249">https://doi.org/10.1029/2023GL104249</a>.</li> </ol> <p>Please, be&nbsp;encouraged to get in touch with me (Laura.Dietrich@uib.no) if you have any questions/research ideas&nbsp;regarding these model data.&nbsp;Data of&nbsp;other model variables or locations in the domain can be shared&nbsp;upon request.<br><br><strong>Data usage notice:</strong></p> <p>If you use any of these data you should refer to:</p> <p>Dietrich, L.J., Steen-Larsen, H.C., Wahl, S., Faber, A.K. and Fettweis, X., 2024. On the importance of the humidity flux for the surface mass balance in the accumulation zone of the Greenland Ice Sheet. The Cryosphere Discussions,<a href="https://doi.org/10.5194/tc-18-289-2024"> https://doi.org/10.5194/tc-18-289-2024</a></p>

opencc-by-4.0Sep 2023View details →
dryad32/100

Simulations from four process-based ecosystem models describing primary productivity in a tallgrass prairie long-term irrigation experiment

<p class="MsoNormal"><span>To demonstrate current capabilities in modeling herbaceous ecosystems, we selected four different process-based models that vary in their representation of community change from no community representation to vegetation demographic models. These models were used to simulate a long-term irrigation experiment at a US tallgrass prairie (Konza Prairie Biological Station) following a standardized simulation protocol. Specifically, we were interested in how model output under a monotonic increase in water availability matched up to experimental findings of (1) herbaceous plant community change and (2) aboveground net primary productivity before and after the plant community change. The results of this simulation are included here.</span></p>

opencc-zeroSep 2023View details →
zenodo32/100

Simulations of 7Be and 10Be with the GEOS-Chem global model v14.0.2 using state-of-the-art production rates

<p>Data repository for the paper: &quot;Simulations of&nbsp;<sup>7</sup>Be and&nbsp;<sup>10</sup>Be with the GEOS-Chem global model v14.0.2 using state-of-the-art production rates&quot;</p> <p>Created by Minjie Zheng&nbsp;(minjie.zheng@env.ethz.ch)</p> <p><strong>The files, model_output_LP67.zip, model_output_P16.zip and model_output_P16spa.zip are the model outputs based on the LP67 production rate, P16 production rate and P16spa production rate.&nbsp;</strong></p> <p><strong>GEOS-Chem14.0.2_Be7Be10.zip includes&nbsp;following folders</strong></p> <p><strong>-&gt; &quot;Model_modified&quot; folder</strong><br> &nbsp; &nbsp;- GEOS-Chem 14.0.2: The folder contains a complete code directory of GEOS-Chem v14.0.2.&nbsp;Details for this see the website:&nbsp;https://wiki.seas.harvard.edu/geos-chem/index.php/GEOS-Chem_14.0.2<br> &nbsp; &nbsp;- hcox_gc_RnPbBe_mod_P16.F90: This file replaces HEMCO/Extensions/hcox_gc_RnPbBe_mod.F90 under GEOS-Chem v14.0.2 code directory to read the&nbsp;updated Be7 and Be10 production file. &nbsp;Search &#39;mzheng&#39; in&nbsp;the file for modifications.</p> <p><strong>-&gt; &quot;ZHENG_BE7BE10&quot; folder includes updated global <sup>7</sup>Be and&nbsp;<sup>10</sup>Be production rates</strong><br> &nbsp; &nbsp; &nbsp;- &nbsp;BE7BE10_P16spa_4x5:&nbsp;Netcdf files for the <sup>7</sup>Be and&nbsp;<sup>10</sup>Be production rates from Poluianov et al., (2016) production model&nbsp;using the solar modulations from&nbsp;Herbst et al., (2017) and geomagnetic cut-off rigidity from Copeland (2018)<br> &nbsp; &nbsp; &nbsp;- &nbsp;BE7BE10_P16_4x5:&nbsp;Netcdf files for the <sup>7</sup>Be and&nbsp;<sup>10</sup>Be production rates from Poluianov et al., (2016) production model&nbsp;using the solar modulations from Herbst et al., (2017) and geomagnetic cut-off rigidity approximated by the Stoermer equation</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jun 2023View details →
zenodo32/100

MD simulation trajectories associated to the publication: Multi-eGO: model improvements towards the study of complex self-assembly processes

<p>The three tgz compressed files include the simulations data and resulting trajectories for the three systems discussed in the work. In particular:&nbsp;</p><ul><li>ab42.tgz includes a random_coil simulation, the multi-eGO simulation of the monomer performed in triplicate and the simulations performed with the original multi-eGO model.</li><li>ttr.tgz includes the randomcoil simulations for both the intramolecular as well as the intermolecular interactions at the three different concentrations, the simulation of the monomer performed in triplicate, and the aggregation kinetics performed in triplicate at the three reported concentrations</li><li>protein_g.tgz includes the reference GB1 simulation, a randomcoil simulation and the 200 multi-eGO folding simulations.</li></ul>

opencc-by-4.0Oct 2023View details →
ClinicalTrials.gov32/100

Effectiveness of In-Situ Simulation Training in Adult Non-Trauma Resuscitation: A Comparison of ISS and OSS Team Performance Using the A-C-L-S Model

ClinicalTrials.gov study NCT07358793. IPD Sharing: NO. Countries: 1. Publications: 21.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Snow Properties and Its Modeling for Studying Gas Exchange Under the Simulated Avalanche Snow

ClinicalTrials.gov study NCT03413878. IPD Sharing: Not stated. Countries: 1. Publications: 6.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

3D Printed Model Simulator or Virtual Reality Software for Training Fiberoptic Intubation Skill

ClinicalTrials.gov study NCT05143606. IPD Sharing: NO. Countries: 1. Publications: 10.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Personalised Modeling and Simulation Procedures for the Differential Diagnosis of Dynapenia: a Study on Healthy Volunteers

ClinicalTrials.gov study NCT05091502. IPD Sharing: YES. Countries: 1. Publications: 2.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov32/100

Personalised Modeling and Simulations for the Differential Diagnosis of Dynapenia: Study on Patients With Osteoarthritis

ClinicalTrials.gov study NCT05795348. IPD Sharing: YES. Countries: 1. Publications: 7.

controlledIPD-YESFeb 2026View details →
dryad32/100

Data from: Exploring the interaction of avian frugivory and plant spatial heterogeneity and its effect on seed dispersal kernels using a simulation model

Open the record for dataset details and reuse information.

publicSep 2016View details →
dryad32/100

Data from: Are cranial biomechanical simulation data linked to known diets in extant taxa? A method for applying diet-biomechanics linkage models to infer feeding capability of extinct species

Open the record for dataset details and reuse information.

publicApr 2016View details →
dryad32/100

Data from: Successful by chance? the power of mixed models and neutral simulations for the detection of individual fixed heterogeneity in fitness components

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publicAug 2015View details →
dryad32/100

Data from: Staffs’ and managers’ perceptions of how and when discrete event simulation modeling can be used as a decision support in quality improvement: a focus group discussion study at two hospital settings in Sweden

Open the record for dataset details and reuse information.

publicMar 2017View details →
dryad32/100

Data from: General models of ecological diversification. II. Simulations and empirical applications

Open the record for dataset details and reuse information.

publicDec 2016View details →
dryad32/100

Data from: Study on the optimization of the deposition rate of planetary GaN-MOCVD films based on CFD simulation and the corresponding surface model

Open the record for dataset details and reuse information.

publicJan 2018View details →
dryad32/100

Data from: Integrating continuous stocks and flows into state-and-transition simulation models of landscape change

Open the record for dataset details and reuse information.

publicDec 2017View details →
dryad32/100

Data from: Long term impacts of selective logging on two Amazonian tree species with contrasting ecological and reproductive characteristics: inferences from Eco-gene model simulations

Open the record for dataset details and reuse information.

publicDec 2013View details →
dryad32/100

Data from: Combining optimization and simulation modelling to measure the cumulative impacts of prescribed fire and wildfire on vegetation species diversity

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publicNov 2018View details →
dryad32/100

Data from: Disentangling the formation of contrasting tree-line physiognomies combining model selection and Bayesian parameterization for simulation models

Open the record for dataset details and reuse information.

publicJan 2011View details →

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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