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256 results for “submissions”

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zenodo32/100

BIV: V1 - initial submission full dataset

<p>This record contains the .RData file accompanying the submission "Dynamics of influenza transmission in vampire bats revealed by longitudinal monitoring and a large-scale anthropogenic perturbation", to be used in conjunction with associated GitHub code.</p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

PLOS ONE Submission Dataset

<p>This data set corresponds with the article titled, &quot;Controversy Matters: Impacts of Topic and Solution Controversy on the Perceived Credibility of a Scientist who Advocates.&quot;</p>

opencc-by-4.0Apr 2017View details →
zenodo32/100

SiSEC 2016 Submissions

<p>added pandas dataframe</p>

openother-openNov 2018View details →
zenodo32/100

The evolution of teaching and anti-teaching: journal submission

<p>A mathematica notebook and C++ code to solve for the model described in the submitted article &quot;The evolution of teaching and anti-teaching&quot;.</p>

opencc-by-4.0Jan 2019View details →
zenodo32/100

Physiol Reports Submission Supplements

<p><em>Supplementary tables to accompany submission by Lavin, et al. to Physiological Reports (July 2019)</em></p> <p><strong>Table S1</strong>: Genes nominally upregulated in PD vs. OA, ranked by Log2FC (n=501)</p> <p><strong>Table S2</strong>: Genes nominally downregulated in PD vs. OA, ranked by Log2FC (n=371)</p> <p><strong>Table S3</strong>: Genes nominally upregulated in PD vs. non-PD, ranked by Log2FC (n=512)</p> <p><strong>Table S4</strong>: Genes nominally downregulated in PD vs. non-PD, ranked by Log2FC (n=378)</p> <p><strong>Table S5</strong>: Characteristics of WGCNA modules generated from skeletal muscle biopsies</p> <p><strong>Table S6</strong>: LightCyan Module Members (n=834)</p> <p><strong>Table S7</strong>: SkyBlue Module Members (n=691)</p> <p><strong>Table S8</strong>: LightCyan Module Hubs</p> <p><strong>Table S9</strong>: SkyBlue Module Hubs</p> <p><strong>Table S10</strong>: Genes nominally upregulated in PD vs. YA, ranked by Log2FC (n=1437)</p> <p><strong>Table S11</strong>: Genes nominally downregulated in PD vs. YA, ranked by Log2FC (n=1692)</p> <ul> </ul>

opencc-by-4.0Jun 2019View details →
zenodo32/100

Supplemental GOES-ABI videos for sensors submission

<p>Enhanced-color GOES-ABI image sequences to accompany the manuscript submission:</p> <p>&quot;Observing the ocean submesoscale with enhanced-color GOES-ABI visible band data&quot; 2019 to sensors, MDPI</p> <p>Authors: Jolliff, J.K., M.D. Lewis, S. Ladner, R. Crout</p> <p>&nbsp;</p>

opencc-by-4.0Aug 2019View details →
zenodo32/100

Datasets for Journal of Geophysical Research-Oceans submission

<p>These Datasets are used in a manuscript submitted to JGR-Oceans.&nbsp;Datasets A1 and A2&nbsp; include the data from the Acoustic Doppler Current Profiler, CTD cast (with a built-in OBS 3+ sensor), and echo sounder.</p> <p>Dataset A1. This dataset includes profiles of velocity, salinity, temperature, and suspended sediment concentration (SSC).</p> <p>Dataset A2. This dataset includes echosounder signal used for image plots in the manuscript.</p>

opencc-by-4.0Nov 2019View details →
zenodo32/100

Artifact for Paper Submission

<p>This is the artifact for ICSE submission #1431.</p> <p>It includes the source code of the modified fuzzer ("aflpp-mutated-bytes") and the raw data from the fuzzing experiments ("FUZZ RESULTS").<br><br></p>

opencc-by-4.0Aug 2024View details →
zenodo32/100

Reproduction Package for Submission `A Literature Review on Verification and Abstraction of Neural Networks'

<div> <div>This artifact contains the aggregated data for the article "A Literature Review on Verification and Abstraction of Neural Networks".</div> <br> <div>The artifact contains the following data files:</div> <br> <div>|-- phase-1_search-space.csv</div> <div>|-- phase-2-3_process-title-abstract.csv</div> <div>|-- review_sheet.csv</div> <br> <h3>Search space for literature review</h3> <div>The file <code>phase-1_search-space.csv</code> contains the metadata of the papers published in our considered conferences during the observed years.</div> <br> <h3>Filtering process</h3> <div>In the file <code>phase-2-3_process-title-abstract.csv</code>, we include the files that contain our expected keywords.</div> <div>Depending on whether we decided to include the paper in our survey after reading the title and the abstract, we marked each of the papers with `accept` or `decline`.</div> <br> <h3>Review sheet</h3> <div>The file <code>review_sheet.csv</code> contains metadata describing our reviews for each of the publications.</div> <div>It holds information on our final review of each paper, including the group we assigned it to and the reasons for its exclusion.</div> <br> <h3>Generating numbers</h3> <div>The following commands can be executed to reproduce the numbers used in our literature review.</div> <br> <div><code># Change directory to the directory containing the CSV files of this artifact.</code></div> <br> <div><code># Number of papers in our search space.</code></div> <div><code>cat phase-1_search-space.csv | tail -n +2 | wc -l</code></div> <br> <div><code># Number of papers after keyword search.</code></div> <div><code>cat phase-2-3_process-title-abstract.csv | tail -n +2 | wc -l</code></div> <br> <div><code># Number of papers that are excluded based on abstracts and titles.</code></div> <div><code>cut -f9 phase-2-3_process-title-abstract.csv | tail -n +2 | sort | uniq -c</code></div> <br> <div><code># Number of papers in different classes.</code></div> <div><code>cut -f7 review_sheet.csv | tail -n +2 | sort | uniq -c</code></div> <div>&nbsp;</div> </div>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Dataset and code for submission of paper ID 415 to FSE 2025

<p>This dataset contains the code and dataset that we used for the evaluation of our proposed framework.</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

Dataset and code for submission of paper ID 415 to FSE 2025

<div>This dataset contains the code and dataset that we used for the evaluation of our proposed framework.</div> <div> <div>&nbsp;</div> </div>

opencc-by-4.0Sep 2024View details →
zenodo32/100

Dataset and code for submission of paper ID 415 to FSE 2025

<div>This dataset contains the code and dataset that we used for the evaluation of our proposed framework.</div> <div> <div> <p>&nbsp;</p> </div> </div>

opencc-by-4.0Sep 2024View details →
zenodo32/100

Supplemental tables for bioRxiv submission

<p>Supplemental tables for the bioRxiv manuscript titled "Reduction of SynGAP-&gamma;, disrupted splicing of Agap3, and oligodendrocyte deficits in Srrm2 mice, a genetic model of schizophrenia and neurodevelopmental disorder"</p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Model input for initial submission of "A regional physical-biogeochemical ocean model for marine resource applications in the Northeast Pacific (MOM6-COBALT-NEP10k v1.0)" to GMD

<p>This dataset contains the numerical model input files that were used to produce the model simulation presented in the initual submission "A regional physical-biogeochemical ocean model for marine resource applications in the Northeast Pacific (MOM6-COBALT-NEP10k v1.0)" to Geoscientific Model Development.</p> <p>When using these files to run a model, most files should be placed inside a directory named INPUT/ that resides in the working directory where the model is being run. The following files should be at the top level in the working directory: data_table, diag_table, field_table, input.nml.</p> <p>For large files, a subset in time is provided for the first year of the simulation. This dataset does not include the ERA5 atmospheric data, which can be downloaded directly from https://doi.org/10.24381/cds.adbb2d47.</p> <p>Portions of the initial and boundary condition data were generated using E.U. Copernicus Marine Service Information:https://doi.org/10.48670/moi-00021. Refer to the manuscript for references to other data sources.</p> <p>Codes for generating regional MOM6 initial conditions, boundary conditions and other necessary model inputs as well as diagnostic scripts are maintained on the NOAA CEFI GitHub Repository: https://github.com/NOAA-GFDL/CEFI-regional-MOM6/.&nbsp;</p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Supplementary files for paper submission

<p>The supplementary videos provide critical visual evidence supporting the research on cooperative behavior and nest defense in <em>Lasioglossum dotatum</em>. They capture key behaviors such as nest guarding, collaborative tunnel excavation, and defensive interactions with parasitic wasps, offering valuable insights into the social and defensive strategies employed by this ground-nesting bee species.</p> <ul> <li><strong>Video S1:</strong> Two <span><em>Lasioglossum dotatum</em> </span>females guarding a single nest entrance within a natural aggregation established around the glasshouse units at Murdoch University, Perth, on April 23, 2024, at 12:13.<br><br></li> <li><strong>Video S2:</strong> Four <em>Lasioglossum dotatum</em> females leaving a large nest entrance established underneath <em>Euphorbia maculata</em> cover, with two guards peering out. Footage was captured on a sandy verge outside the glasshouse units at Murdoch University, Perth, on March 22, 2022, at 11:20.<br><br></li> <li><strong>Video S3:</strong><span> </span><span>One <em>Lasioglossum dotatum</em> female observed guarding the nest entrance. A returning forager lands nearby, recognises it is not her nest, and flies away. A second returning forager then lands, briefly contacts the guard, prompting the guard to move aside and allow entry before departing to forage. Footage captured near the air-conditioning unit around the glasshouses at Murdoch University, Perth, on April 5, 2022, at 13:04.<br></span><span><br></span></li> <li><strong>Video S4:</strong><span> GoPro footage showing increased activity of </span><em>Lasioglossum dotatum</em><span> following disturbance to the soil. Stone cover was removed, and soil surface was raked over for an experimental design for a separate project investigating nesting preferences of </span><em>L. dotatum</em><span>. Footage captured between a air-condition unit around glasshouses at Murdoch University, Perth, on March 27,</span><span> 2023, at 11:00.<br></span><span><br></span></li> <li><strong>Video S5:</strong><span> </span><span>Six <em>Lasioglossum dotatum</em> females collaboratively re-excavating a collapsed tunnel re-excavating a collapsed tunnel within a nest aggregation established around the glasshouse units at Murdoch University, Perth, on February 9, 2024, at 07:25.<br><br></span></li> <li><strong>Video S6:</strong><span> Unidentified </span><em>Labium </em><span>wasp hovering over a nest entrance and attempting to enter with guard deterring entry within a nest aggregation established around the glasshouse units at Murdoch University, Perth, on October 13, </span><span>2024, at 12:33.<br><br></span></li> <li><strong>Video S7:</strong><span> Unidentified </span><em>Labium </em><span>wasp hovering over a nest entrance and attempting to enter with guard deterring entry, within a nest aggregation established around the glasshouse units at Murdoch University, Perth, on October 13, 2024, at 12:02.</span></li> </ul>

opencc-by-4.0Sep 2024View details →
zenodo32/100

CoRL Submission Data/Results for Learnable Spatio-Temporal Map Embeddings for Deep Inertial Localization

<p>Dataset/Results for reproducibility/verification of results in CoRL 2021 submission &quot;Learnable Spatio-Temporal Map Embeddings for Deep Inertial Localization&quot;</p>

opencc-by-4.0Jun 2021View details →
zenodo32/100

Data of Hurricane Laura simulations - for submission to GMD

<p>Data of Hurricane Laura simulations given by <a href="https://www.gfdl.noaa.gov/shield/">SHiELD</a> with a regional and a global-nest configuration. Both configurations can be found at&nbsp;doi.org/10.5281/zenodo.5090124. Simulations were conducted to demonstrate the flexibility of <a href="https://www.gfdl.noaa.gov/shield/">SHiELD</a>.</p>

opencc-by-4.0Jul 2021View details →
zenodo32/100

SHiELD test cases - for submission to GMD

<p>Three cases are used in a manuscript on the containerization of SHiELD, for submission to GMD.</p> <p>Two Hurricane Laura simulations (regional_Laura.zip is a regional run and global_nest_Laura.zip is a global-nest run) and one scalability test case (global_scalability.zip). Each case includes configurations, climatology data, and initial conditions (and boundary conditions for the regional run). The climatology data are provided by the National Oceanic and Atmospheric Administration (NOAA) Environmental Modeling Center (EMC). The initial and boundary conditions are created from the U.S. operational Global Forecast System (GFS) analysis using <a href="https://github.com/NOAA-EMC/UFS_UTILS">UFS_UTILS</a>.</p> <p>GFS_fix.zip contains surface climatology data provided by NOAA EMC and needed by the three cases.</p>

opencc-by-4.0Jul 2021View details →
zenodo32/100

Submission to Special Issue of Quantitative Science Studies "Scientific Knowledge Graphs and Research Impact Assessment"

<p>To be added</p>

opencc-by-4.0Feb 2021View details →
zenodo32/100

Supplementary source code and evaluation results for submission 44 at SSS 2021

<p>Source code and data for submission 44, SSS 2021</p> <p>Content:</p> <p>+ directory src: source code</p> <p>+ directory lib: libaries used by source code</p> <p>+ directory graphs: input graphs (topology) for programs</p> <p>+ directory results-2021: analysis and simulation data</p> <p>+ run_analyze_cvf_script.sh: script for running analysis</p> <p>+ run_simulation_script.sh: script for running simulation</p>

opencc-by-4.0Aug 2021View 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