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.
60
datasets available to search
ShareScore release 0.9.0
Dataset results
60 results for “surface code”
Code and Data for "Global Surface Eddy Mixing Ellipses: Spatio-temporal Variability and Machine Learning Prediction" By Jing et al. Submitted to Journal of Geophysical Research: Oceans.
<p>This repository contains the code and data for the study of "Global Surface Eddy Mixing Ellipses: Spatio-temporal Variability and Machine Learning Prediction" By Jing et al. Submitted to Journal of Geophysical Research: Oceans.</p> <p>Specifically, this repository contains the following items: </p> <p>(1) The codes needed for assessing the representation and prediction skills of Random Forest (RF) and Convolutional Neural Network (CNN) models. </p> <p>(2) Original and normalized data to run these codes.</p> <p>(3) Code here is built on early work from our laboratory (Guan et al., 2022; Zhang et al., 2023), though great modifications have been made tailored to our scientific question.</p> <div>[1] Guan, W., Chen, R., Zhang, H., Yang, Y., & Wei, H. (2022). Seasonal surface eddy mixing in the Kuroshio Extension: Estimation and machine learning prediction. Journal of Geophysical Research: Oceans, 127 (3), e2021JC017967.</div> <div>[2] Zhang, G., Chen, R., Li, X., Li, L., Wei, H., & Guan, W. (2023). Temporal variability of global surface eddy diffusivities: Estimates and machine learning prediction. Journal of Physical Oceanography, 53 (7), 1711–1730.</div>
Additional code and data for running the simulations presented in the article "Using observations of surface fracture to address ill-posed ice softness estimation over Pine Island Glacier"
<p>The data required to run the inverse problems described in the article "Using observations of surface fracture to address ill-posed ice softness estimation over Pine Island Glacier" along with code specific to the modified inverse problem described therein, additional to that downloadable from BISICLES is downloadable from https://commons.lbl.gov/display/bisicles/BISICLES.</p> <p>These data are restricted to those involved in reviewing the aforementioned article.</p>
Datasets and code used to generate the figures in the article "Influence of Forest Cover Loss on Land Surface Temperature Differs by Drivers in China"
<p>We have provided the data and code used to generate the figures in the article "Influence of Forest Cover Loss on Land Surface Temperature Differs by Drivers in China" for reference and further reading. These data can be used to replicate the analyses presented in the paper. If you wish to use the data for other purposes, please contact the authors for permission. Thank you.</p>
Supporting data for 'Computing with spin qubits at the surface code error threshold'
<p>IMPORTANT:</p> <p>The data must not be reused in other studies or publications without approval of the authors.</p>
Code and Data: WRF v.3.9 sensitivity to land surface model and horizontal resolution changes over North America
<p>Data and code used to obtain results published in Garcia-Garcia et al 2021: WRF v.3.9 sensitivity to land surface model and horizontal resolution changes over North America. Submited to<em> Geosci. Model Dev</em>.</p>
Replication data and theory code for: Discovery of segmented Fermi surface induced by Cooper pair momentum
<p>Replication data and theory code for: Discovery of segmented Fermi surface induced by Cooper pair momentum</p>
Assessing the atmospheric response to subgrid surface heterogeneity in CESM2 - code, output, and analysis script
<p>This dataset contains the raw model output, analysis scripts, and CESM source code (containing modifications to include subgrid-scale surface heterogeneity impacts in CAM) that were used to produce the figures in a manuscript targeting the Journal of Advances in Modeling Earth Systems (JAMES) for submission, "Assessing the atmospheric response to subgrid surface heterogeneity in CESM2". For additional information on CESM2 and the most up to date source code, see https://github.com/ESCOMP/CESM. </p> <p>The pre-print of the submitted article is available here: <a href="https://doi.org/10.1002/essoar.10512837.1">https://doi.org/10.1002/essoar.10512837.1</a></p>
Dataset and code for the manuscript 'Parameterizing Vertical Mixing Coefficients in the Ocean Surface Boundary Layer using Neural Networks'
<p>This repository contains the code and data used in the manuscript 'Parameterizing Vertical Mixing Coefficients in the Ocean Surface Boundary Layer using Neural Networks'. <br> Manuscript authors: Dr. Aakash Sane, Dr. Brandon G. Reichl, Dr. Alistair Adcroft, Dr. Laure Zanna<br> Manuscript preprint link: https://doi.org/10.48550/arXiv.2306.09045</p>
Files and code to replicate the analyses and figures in the manuscript "Genetics, energetics, and allostery in proteins with randomized cores and surfaces"
<p>Welcome to the Zenodo repository for the following publication: Genetics, energetics, and allostery in proteins with randomized cores and surfaces by Escobedo, Voigt, Faure and Lehner, Science 2025.</p> <p>This repository contains all files and code to replicate the analyses and figures associated with the publication. Code is also available at <a href="https://github.com/lehner-lab/combinatorialcores" target="_new" rel="noopener">GitHub</a>. Raw NGS fastq files are available at Gene Expression Omnibus [GEO: GSE266299] (<a href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE266299" rel="nofollow">https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE266299</a>)</p>
Codes and Dataset for "Application of Low-Cost Fine Particulate Mass Monitors to Convert Satellite Aerosol Optical Depth to Surface Concentrations in North America and Africa"
<p>This file contains the codes and dataset pertaining to the manuscript "Application of Low-Cost Fine Particulate Mass Monitors to Convert Satellite Aerosol Optical Depth to Surface Concentrations in North America and Africa"</p>
code, scripts and data for "Energy transfers in surface wave-averaged equations" by L. Czeschel and C. Eden
Open the record for dataset details and reuse information.
Dataset underpinning: "Scalable Neural Decoder for Topological Surface Codes"
<p>The dataset belonging to the paper: Scalable Neural Decoder for Topological Surface Codes</p>
Surface wave Green's functions for WASP slip inversion code
<p>Surface wave GFs for use with WASP. File needs to be placed in ./fotran_code/gfs_nm/</p>
Code - Effects of horizontal resolution and updated surface data on the simulated low-level winds over Incheon International Airport
Open the record for dataset details and reuse information.
Data and codes for Toda et al. 2024 Walker circulation strengthening driven by sea surface temperature changes outside the tropics
Open the record for dataset details and reuse information.
Code for paper 'Advances in Surface Water and Ocean Topography for Fine-Scale Eddy Identification from Altimeter Sea Surface Height Merging Maps'
Open the record for dataset details and reuse information.
Data and Code for: Evaluation of vertically resolved longwave radiation in SPARTACUS-Urban and the sensitivity to urban surface temperatures
<p>This contains the model outputs and analysis code for the article: Evaluation of vertically resolved longwave radiation in SPARTACUS-Urban and the sensitivity to urban surface temperature, Stretton et al. 2022, Submitted to <em>Geoscientific Model Development</em>.</p>
Data and program codes to reproduce the results of surface-wave tomography for the Paramushir Island (Kuril Arc)
<p>This file contains the files to reproduce the results presented in the article: by Nadezhda Belovezhets, Yaroslav Berezhnev, Ivan Koulakov, Andrey Jakovlev, Sergei Abramenkov, Sergey Z. Smirnov, and Ilyas Abkadyrov (2023). Magma and hydrothermal sources below the northern part of Paramushir Island (Kuril Arc) inferred from ambient noise tomography, <em>Journal of Volcanology and Geothermal Research</em>.</p> <p>This file includes:</p> <p>1. The full folder with the SURF_TOMO code for the surface-wave tomography (Koulakov et al., 2016, G-cube). </p> <p>2. Folder with the dataset including the dispersion curves of the Rayleigh surface waves for the station pairs in the area of the Paramushir Island in the Kuril Arc.</p> <p>3. README_EBEKO.PDF file with the description of the workflow on how to reproduce the tomography models based on experimental and synthetic data presented in the article. </p> <p>Koulakov, I., G. Maksotova, K. Jaxybulatov, E. Kasatkina, N. M. Shapiro, B.-G. Luehr, S. El Khrepy, and N. Al-Arifi (2016), Structure of magma reservoirs beneath Merapi and surrounding volcanic centers of Central Java modeled from ambient noise tomography, Geochem. Geophys. Geosyst., 17, 10, 4195-4211, doi:10.1002/2016GC006442.</p>
MITgcm simulations of sea level response to freshwater injected at the surface and at depth in southern high latitudes: Model output and analysis code
Open the record for dataset details and reuse information.
Transcription Factor Acj6 Controls Dendrite Targeting via Combinatorial Cell-Surface Codes
GEO Series GSE200841. Drosophila melanogaster. 6 samples. Type: Expression profiling by high throughput sequencing.
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.