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.
2,152
datasets available to search
ShareScore release 0.9.0
Dataset results
2,152 results for “outputs”
Source data - Engineering Modular and Tunable Single Molecule Sensors by Decoupling Sensing from Signal Output
<p>Research data supporting the findings of "<em>Engineering Modular and Tunable Single Molecule Sensors by Decoupling Sensing from Signal Output</em>" by Lennart Grabenhorst, Martina Pfeiffer, Thea Schinkel, Mirjam Kümmerlin, Gereon A. Brüggenthies, Jasmin B. Maglic, Florian Selbach, Alexander T. Murr, Philip Tinnefeld and Viktorija Glembockyte. For questions concerning this data, please reach out to Philip Tinnefeld or Viktorija Glembockyte.</p>
OTTM outputs used to analyze Indian Ocean acidification
<p>OTTM simulates the global ocean biogeochemistry and carbon cycle. It is an offline model driven by a re-analyzing ocean currents and other data from the ECDA system. OTTM utilizes a phosphate restoration approach to calculate the biological pumps and OCMIP-2 protocols to solve the surface ocean carbonate chemistry. A spatio-temporal community compensation depth is parameterized to reduce the biases in the seasonal cycle of pCO2.</p>
Outputs of the Jupyter Notebook - Sea ice forecasting using the IceNet Library
<p>The dataset contains the outputs of the notebook "Sea ice forecasting using the IceNet library" published in The Environmental Data Science Book.</p> <p><strong>Contributions</strong></p> <p><em>Notebook</em></p> <ul> <li>James Byrne (author), British Antarctic Survey, <a href="https://github.com/JimCircadian">@JimCircadian</a></li> <li>Bryn Noel Ubald (author), British Antarctic Survey, <a href="https://github.com/tom-andersson">@tom-andersson</a></li> <li>Wei Ji (reviewer), Development Seed, <a href="https://github.com/weiji14">@weiji14</a></li> <li>William Gregory (reviewer), Princeton University, <a href="https://github.com/William-gregory">@William-gregory</a></li> <li>Anne Fouilloux (editor), Simula Research Laboratory, <a href="https://github.com/annefou">@annefou</a></li> </ul> <p><em>Modelling codebase</em></p> <ul> <li>James Byrne (Code author)</li> <li>Tom Andersson (Science author)</li> <li>Bryn Noel Ubald (Code maintainer and contributor)</li> </ul>
The output data of the 1D Venusian chemistry-diffusion model of Dai et al. (2024) and the adopted chemical network
<p>To use these data, please cite the paper: Dai et al. (2024, doi: 10.1051/0004-6361/202450552) </p> <p>Supplemental_Tables_for_Dai_et_al_2024.pdf: the chemical network adopted in the model</p> <p>Nominal.txt: the chemical network adopted in the model</p> <p>modify_chem.py: the additional adjustments of the reactions</p> <p>Nominal_Bkzz_SO2.vul and A_Dkzz_SO2.vul: the output data of the nominal model and model A, respectively</p> <p>reading_data.py: the methods to read the output files</p> <p> </p> <p>*Errata: </p> <p>1) R296 in Supplemental Table: "1×10^7+0.05n_atm" should have been "1×10^17+0.05n_atm"</p> <p>2) R329 in Supplemental Table: should have been removed</p> <p>The errata do not affect the results of this study.</p>
CS_2007_16s_bioinf_outputs
<p>Bioinformatic outputs for CS 2007 16S (bacterial) data.</p> <p>Sample ID's within otu table cross reference with "Plot" column in <a href="https://catalogue.ceh.ac.uk/documents/79669141-cde5-49f0-b24d-f3c6a1a52db8">Soil physico-chemical properties 2007 [Countryside Survey] - EIDC (ceh.ac.uk)</a>.</p> <p> </p>
Results outputs for "Beyond the Hype: Identifying and Analyzing Math Word Problem-Solving Challenges for Large Language Models"
<p>The provided files contain outputs generated by various Large Language Models (LLMs) for solving problems in the SVAMP dataset. Additionally, they include tagged statements of problems that LLMs incorrectly resolved.</p> <p>This repository includes the following two files:</p> <ul> <li>all_data.json --> Contains the generated samples for the SVAMP dataset.</li> <li>df_combined.pkl --> Contains the tagged SVAMP statements of problems that CodeLlama failed to resolve.</li> </ul>
Data for "Statistical Adjustment for Tactical Choices When Evaluating Team's Offensive Output Across Five Major European Club Soccer Leagues"
<p>Data files for a paper titled "Statistical Adjustment for Tactical Choices When Evaluating Team's Offensive Output Across Five Major European Club Soccer Leagues"</p>
NUTS2 Fractionalized Web of Science Output 2000 to 2013
<p>This is a database consisting of Web of Science publications, allocated to NUTS2 regions on the basis of institutional street addresses. There are also a number of other NUTS2 variables in the database, most of which have been published by Eurostat. </p>
SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" (Part 2-2)
<p>SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" submitted to GMD. Complete theta data is 174GB. Thus, this dataset is separated into smaller files. These data can be accessed by accessing Zenode links (see below) or downloading from http://sose.ucsd.edu/. <br><br></p>
SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" (Part 2-3)
<p>SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" submitted to GMD. Complete theta data is 174GB. Thus, this dataset is separated into smaller files. These data can be accessed by accessing Zenode links (see below) or downloading from http://sose.ucsd.edu/. </p>
SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" (Part 2-5)
<p>SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" submitted to GMD. Complete theta data is 174GB. Thus, this dataset is separated into smaller files. These data can be accessed by accessing Zenode links (see below) or downloading from http://sose.ucsd.edu/. <br><br></p>
WRF Model Output for the 3 km grid of the Hurricane Nature Run, days 08-07-2005 through 08-09-2005
<p>This is WRF model output for the Hurricane Nature Run presented in Nolan et al. (2013). The tar file contains gzipped netcdf files each with 6 model outputs at 30 minute intervals.</p>
WRF Model Output for the 3 km grid of the Hurricane Nature Run, days 08-04-2005 to 08-06-2005
<p>This is WRF model output for the Hurricane Nature Run presented in Nolan et al. (2013). The tar file contains gzipped netcdf files each with 6 model outputs at 30 minute intervals.</p>
SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" (Part 2-8)
<p>SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" submitted to GMD. Complete theta data is 174GB. Thus, this dataset is separated into smaller files. These data can be accessed by accessing Zenode links (see below) or downloading from http://sose.ucsd.edu/ (recommended). </p>
SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" (Part 2-7)
<p>SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" submitted to GMD. Complete theta data is 174GB. Thus, this dataset is separated into smaller files. These data can be accessed by accessing Zenode links (see below) or downloading from http://sose.ucsd.edu/ (recommended). </p>
SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" (Part 2-1)
<p>SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" submitted to GMD. Complete theta data is 174GB. Thus, this dataset is separated into smaller files. These data can be accessed by accessing Zenode links (see below) or downloading from http://sose.ucsd.edu/ (recommended). <br><br>#2 https://zenodo.org/records/13117976<br>#3 https://zenodo.org/records/13118797<br>#4 https://zenodo.org/records/13118949<br>#5 https://zenodo.org/records/13119899<br>#6 https://zenodo.org/records/13119952<br>#7 https://zenodo.org/records/13121012<br>#8 https://zenodo.org/records/13121700<br>#9 https://zenodo.org/records/13123458</p> <p> </p>
SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" (Part 2-9)
<p>SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" submitted to GMD. Complete theta data is 174GB. Thus, this dataset is separated into smaller files. These data can be accessed by accessing Zenode links (see below) or downloading from http://sose.ucsd.edu/ (recommended). </p>
Basic layercake GeoModeller model and relevant drillhole MCUE outputs
<p>Companion dataset to the paper:</p> <p><strong>Drillhole Uncertainty Propagation for three-dimensional Geological Modeling using Monte Carlo</strong><em>, </em>Evren Pakyuz-Charrier, Mark Lindsay, Vitaliy Ogarko, Jeremie Giraud, Mark Jessell</p> <p>This dataset contains three archives pertaining to Monte Carlo Uncertainty Estimation (MCUE) in implicit 3D geological models:</p> <ol> <li><a href="https://zenodo.org/api/files/a19a51eb-8868-445c-ae70-1ceede70be03/HorizontalLayercakeDrillhole_base.zip?versionId=3b7ab62b-67d3-46f8-ac36-87bd056d6db6">HorizontalLayercakeDrillhole_base.zip </a>is a GeoModeller three dimensional model of a 4 units layercake model.</li> <li><a href="https://zenodo.org/api/files/a19a51eb-8868-445c-ae70-1ceede70be03/SingleDH_MCUE.zip?versionId=0ed91bf9-1e06-47ca-9a5c-da050db18897">SingleDH_MCUE.zip </a>contains all MCUE output for the single drillhole uncertainty propagation case studies.</li> <li><a href="https://zenodo.org/api/files/a19a51eb-8868-445c-ae70-1ceede70be03/TripleDH_MCUE.zip?versionId=0c5f8f45-938a-4701-b871-99d1349d8278">TripleDH_MCUE.zip </a>contains all MCUE output for the three drillholes uncertainty propagation case studies.</li> </ol> <p>In the output archive files:</p> <ul> <li>xml files are the GeoModeller project saves, these can be opened with Intrepid's free viewer for GeoModeller 4.0 (available @: http://www.intrepid-geophysics.com/ig/index.php?page=geomodeller-update)</li> <li>.vo, .isi and .vop1 files are the lithological voxet exports in binary GOCAD format, these can be opened with the aforementionned viewer or Geocando (available @: https://sourceforge.net/projects/geocando)</li> <li>.vtk files are the MCUE uncertainty indexes outputs, these can be opened with Paraview (available @: https://www.paraview.org/download)</li> <li>the frequency.csv file is the MCUE probabilistic model output, it can be opened with any text editor /spreadsheet</li> <li>other .csv files are standard collar, survey, geology drillhole data files</li> </ul>
Mansfield (Victoria, Australia) area original GeoModeller model and relevant drillhole MCUE outputs
<p>Companion dataset to the paper:</p> <p><em>Disturbance Distribution Selection and Parameterization in Monte Carlo Simulations for Uncertainty Estimation in Implicit three-dimensional Modeling, </em>Evren Pakyuz-Charrier, Mark Lindsay, Vitaliy Ogarko, Jeremie Giraud, Mark Jessell</p> <p>This dataset contains three archives pertaining to Monte Carlo Uncertainty Estimation (MCUE) in implicit 3D geological models:</p> <ol> <li><a href="https://zenodo.org/api/files/dc9002e8-b1d1-4947-bef0-02771811935f/Mansfield_vertical_drillhole.zip?versionId=6111377a-c959-4a04-aa4d-869166bfc2bb">Mansfield_vertical_drillhole.zip </a>contains a GeoModeller three dimensional model of the Mansfield syncline area (Victoria, Australia) with one vertical drillhole along with drillhole MCUE outputs. This model is modified from the Mansfield_Base model @ <a href="https://zenodo.org/record/848225">https://zenodo.org/record/848225</a> </li> <li><a href="https://zenodo.org/api/files/dc9002e8-b1d1-4947-bef0-02771811935f/Mansfield_inclined_drillhole.zip?versionId=0b849001-0bf3-4edb-8ce4-1ccf4312a88f">Mansfield_inclined_drillhole.zip </a>contains a GeoModeller three dimensional model of the Mansfield syncline area (Victoria, Australia) with one inclined drillhole along with drillhole MCUE outputs. This model is modified from the Mansfield_Base model @ <a href="https://zenodo.org/record/848225">https://zenodo.org/record/848225</a></li> <li><a href="https://zenodo.org/api/files/dc9002e8-b1d1-4947-bef0-02771811935f/Mansfield_vertical_drillhole.zip?versionId=6111377a-c959-4a04-aa4d-869166bfc2bb">Mansfield_vertical_drillhole.zip </a>contains a GeoModeller three dimensional model of the Mansfield syncline area (Victoria, Australia) with both vertical and inclined drillholes along with drillhole MCUE outputs. This model is modified from the Mansfield_Base model @ <a href="https://zenodo.org/record/848225">https://zenodo.org/record/848225</a></li> </ol> <p>In the output archive files:</p> <ul> <li>xml files are the GeoModeller project saves, these can be opened with Intrepid's free viewer for GeoModeller 3.3 3.4 (available @: http://www.intrepid-geophysics.com/ig/index.php?page=geomodeller-update)</li> <li>.vo, .isi and .vop1 files are the lithological voxet exports in binary GOCAD format, these can be opened with the aforementionned viewer or Geocando (available @: https://sourceforge.net/projects/geocando)</li> <li>.vtk files are the MCUE uncertainty indexes outputs, these can be opened with Paraview (available @:https://www.paraview.org/download)</li> <li>the frequency.csv file is the MCUE probabilistic model output, it can be opened with any text editor /spreadsheet</li> <li>other .csv files are standard collar, survey, geology drillhole data files</li> </ul>
Model output: NEMO-CICE with an emergent sea ice floe size distribution
<p>NEMO-CICE model output from experiments with and without an emergent sea ice floe size distribution.</p> <p>See README for further details</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.