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5,155 results for “resolution”
High-resolution and full coverage AOD downscaling based on the bagging model over the arid and semi-arid areas, NW China
<p>High-resolution and full coverage 250 m monthly AOD product over the arid and semi-arid areas, NW China. the scale factor is 1000.</p>
Self-synchronized cost-effective time-resolved measurements at x-ray free-electron lasers with femtosecond resolution
<p>In compliance with guidelines from SNSF (Swiss National Science Foundation), we upload the raw data that belongs to a publication we submitted to <em>Physical Review Research</em>.<br> The dataset also contains the analysis scripts used to produce the plots we show in the publication.</p> <p>Our software is attached to the dataset. An installation of the well known ELEGANT code is required to run it.</p> <p>Shortly after upload of the first version of this dataset, a bug was found in the analysis software.<br> The second version contains the corrected software.</p>
Data and data analysis codes for Palacios et al. "Single-domain Bose condensate magnetometer achieves energy resolution per bandwidth below ℏ"
<p>Data and data analysis codes for the article "Single-domain Bose condensate magnetometer achieves energy resolution per bandwidth below ℏ" by S. Palacios, et al. https://arxiv.org/abs/2108.11716</p>
Ultra-high-resolution diffusion MRI atlas of CD1 embryonic mouse brains at E10.5-E15.5.
<p>This dataset is assciated with the paper "A Spatiotemporal Continuum of Embryonic Mouse Brain Development Built on Diffusion MR Microscopy for Probing Dynamic Gene-Neuroanatomy" on PNAS. For each stage, average FA (fractional anisotropy) and DEC (directionally encoded colormap) images (n=5) are provided. <br> <br> </p>
Data for : "Three months of combined high resolution rainfall and wind data collected on a wind farm"
<p>The data set corresponds the data presented in the data paper : “Three months of combined high resolution rainfall and wind data collected on a wind farm “ Earth System Science Data” (https://www.earth-system-science-data.net/).</p> <p>More details can be found in the Read_me_v1.txt file and in the paper.</p>
Inputdata for CESM2-3-beta07 compset F2000climo at resolution T42_T42
<p>Input data necessary to run a finite volume CESM2-3-beta07 case with the F2000 compset at resolution T42_T42</p> <p>This is a coarse grid with 64 lat x128 lon (~310km at Equator)</p>
Data from: In vivo human whole-brain Connectom diffusion MRI dataset at 760 µm isotropic resolution (PART I)
<p>This whole-brain in vivo diffusion MRI dataset was acquired at 760 µm isotropic resolution and sampled at 1260 q-space points across 9 two-hour sessions on a single healthy subject. It was acquired using state-of-the-art acquisition hardware and advanced reconstruction to achieve high SNR at such resolution, including a high-gradient-strength Connectom scanner, a custom-built 64-channel phased-array coil, a personalized motion-robust head stabilizer, a recently developed SNR-efficient dMRI acquisition, and parallel imaging reconstruction with advanced ghost reduction algorithms. With its unprecedented high resolution, SNR and image quality, it could help explore the fine-scale structures of in vivo human brain, and further advance the understanding of human brain connectivity. This dataset can also be used as a test bed for further technical development of new modeling, sub-sampling strategies, denoising and processing algorithms for in vivo high resolution dMRI. Whole brain anatomical T<sub>1</sub>-weighted and T<sub>2</sub>-weighted images at submillimeter scale, field maps and the code for preprocessing pipeline are also made available in the repository.</p>
High-spatiotemporal resolution mapping of spatiotemporally continuous atmospheric CO2 concentrations over the global continent
<p>This dataset contains global continental-scale carbon dioxide inversion results for four periods in 2015 with a spatial resolution of 0.01°.</p>
Data for Klaes et al. High-resolution stalagmite stratigraphy supports the Late Holocene tephrochronology of southernmost Patagonia. Comms. Earth Environ. (2022)..
<p>This data set comprises the LA-ICP-MS, ICP-MS, EPMA and NanoSIMS measurements as well as SEM imagery presented in the research paper 'High-resolution stalagmite stratigraphy supports the Late Holocene tephrochronology of southernmost Patagonia' by Klaes et al. The Th-U data of the revised chronology of stalagmite MA1 with the calculated correction values according to Budsky et al. (2016) are also included. In addition, stable isotope data from Schimpf et al. (2011) with the revised version of the age-depth model are given. For detailed information on the analyses (e.g., instruments used), the user is kindly referred to the methods section of the article. </p>
A Reconstructed Global Daily Seamless TROPOMI SIF dataset at a 0.05-degree Resolution (SDSIF) using the ML approach
<p>To enhance the spatial and temporal resolutions and continuities of the TROPOMI SIF, a global daily seamless SIF product at 0.05-degree resolution (namely, SDSIF) from May 2018 to December 2020 was generated based on the ML approach using TROPOMI SIF, MODIS reflectance, and ERA5 reanalysis datasets. This dataset has been validated with the original TROPOMI SIF and the long-term tower-based SIF from five flux sites, which verified the reliability of SDSIF and the advantages over original TROPOMI SIF.</p>
Dataset supporting the article "Megapixel camera arrays for high-resolution animal tracking in multiwell plates"
<p>IB and LF contributed equally.</p> <p> </p> <p>This deposition contains the supporting dataset for the article:</p> <p><strong>Megapixel camera arrays for high-resolution animal tracking in multiwell plates</strong></p> <p>Ida Barlow, Luigi Feriani, Eleni Minga, Adam McDermott-Rouse, Thomas J O'Brien, Ziwei Liu, Maximilian Hofbauer, John R Stowers, Erik C Andersen, Siyu S Ding, André EX Brown</p> <p> </p> <p> </p> <p><strong>Acknowledgements</strong>:</p> <p>This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 714853) and was supported by the Medical Research Council through grant MC-A658-5TY30. This work was supported by a Research Grant from HFSP (Ref.-No: RGP0001/2019). AMR was supported by a BBSRC CASE studentship part-funded by Syngenta.</p>
Evaluation data for "Global, high-resolution, reduced-complexity air quality modeling for PM2.5 using InMAP (Intervention Model for Air Pollution)"
<p>This zip file contains data for performing Global InMAP model runs and evaluations. To the extent that any of the data is covered by third party licenses, it is the responsibility of the user to follow the terms of those licenses. A description of the contents of this directory is below:</p> <p>measurements.csv<br> Vetted global dataset of ground-level annual-average measurements of total PM2.5 and species (pNO3, pSO4, pNH4) compiled from monitoring networks, used for model performance evaluation. Data sources are: World Health Organization (Global), European Environment Agency (Europe), National Air Pollution Surveillance Program (Canada), Environmental Protection Agency (United States of America), Central Pollution Control Board (India), Australian Government State of the Environment (Australia), and Acid Deposition Monitoring Network In East Asia (EANET) (East Asia).</p> <p>population directory<br> Population count data is from the Gridded Population of The World (v4.10) projected to year 2020. The data is in 15x15 arcminute grids, except for in grid cells where the population is above 80,000, where the population data is 30x30 arcseconds.</p> <p>GlobalInMAPData_v1.ncf<br> Regular-grid Global InMAP input data for the year 2005 for use as the "InMAPData" variable in the InMAP configuration file. It was created from GEOS-Chem v.11-01 simulation outputs with the 'inmap preproc' command.</p> <p>global_inmap_004x003_v1.1.0.gob<br> Global InMAP variable grid resolution input data for coords for year 2016 for use as the "VariableGridData" variable in the InMAP configuration file. It was created with the 'inmap grid' command using GlobalInMAPData_v1.ncf and population.shp.</p> <p>2016_emissions directory<br> Total PM2.5 and precursor emissions to arrive at total PM2.5 concentrations from Global InMAP. Units for polygonized emissions inputs (shapefiles) are short (US) tons/yr, and units for gridded emissions inputs (NetCDF files) are kg/yr.</p> <p>global_emission_changes directory<br> nh3.nc, nox.nc, and sox.nc are gridded emissions for changes in inorganic precursors for comparing Global InMAP and GEOS-Chem. Units are kg/yr. NH4-gc.nc, NIT-gc.nc, and SO4-gc.nc are results for changes in concentrations arising from these changes in emissions for 3 months, 1 month, and 2 months.</p> <p>usa_emission_changes directory<br> Emissions for comparing Global InMAP and US InMAP (described in Tessum et al., 2017).<br> Emissions are derived using the United States National Emissions Inventory (NEI) 2014v.1, processed exactly as in Thakrar et al., 2020.<br> Emissions are coal-powered electricity generation (NEI Source Classification Code: 10100212) and gasoline passenger vehicles (NEI Source Classification Code: 2201210080).<br> Units are ug/s.</p> <p>Tessum, C.W.; Hill, J.D.; Marshall, J.D. InMAP: A model for air pollution interventions. PloS One 2017, 12 (4) e0176131.<br> Thakrar, S.K.; Balasubramanian, S.; Adams, P.J.; Azevedo, I.M.; Muller, N.Z.; Pandis, S.N.; Polasky, S.; Pope III, C.A.; Robinson, A.L.; Apte, J.S.; Tessum, C.W.; Marshall, J.D.; Hill; J.D. Reducing mortality from air pollution in the United States by targeting specific emission sources. Environmental Science & Technology Letters 2020, 7(9), pp.639-645.<br> Gridded Population of the World, Version 4 (GPWv4): National Identifier Grid. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://dx.doi.org/10.7927/H41V5BX1.</p>
Fluorogenic DNA-PAINT for faster, low-background super-resolution imaging
<p>Data associated with publication.</p>
Global maps of soil water characteristics parameters developed using the random forest in a Covariate-based GeoTransfer Functions (CoGTF) framework at 1 km resolution
<p>The global soil water characteristics parameters (<em>α, n, θ<sub>r</sub>, and θ<sub>s</sub></em>) maps based on van Genuchten (vG) model at 1 km resolution was developed by harnessing the technological advances in machine learning and availability of remotely sensed surrogate information such as terrain, climate, vegetation, and soil covariates. We merge concepts of predictive soil mapping with a large data set of vG parameters and local information (soil, vegetation, climate) into "Covariate-based GeoTransfer Functions'' (CoGTFs) to generate global estimates of vG parameters (to highlight the impact of Geo-referenced covariates including various remote sensing maps, we use the term Geotransfer Function GTF and not pedotransfer function PTF; in the latter case, typically only soil properties are used to predict vG parameters).</p> <p>The vG parameters (<em>α, n, θ<sub>r</sub>, and θ<sub>s</sub></em>) dataset is provided in GeoTIFF format. A total of 16 files that represent different soil depths (0, 30, 60, and 100 cm) are provided for each parameter.</p> <table> <caption>Description of vG parameters and their units</caption> <tbody> <tr> <td>vG Parameters</td> <td>Description</td> <td>units</td> </tr> <tr> <td><em>α</em></td> <td>Inverse air entry pressure</td> <td>Log<sub>10</sub><em>α (m<sup>-1</sup>)</em></td> </tr> <tr> <td><em>n</em></td> <td>Shape parameter</td> <td>Log<sub>10</sub><em>n </em>(dimensionless)</td> </tr> <tr> <td><em>θ<sub>r</sub></em></td> <td>Residual water content</td> <td>m<sup>3</sup>/m<sup>3</sup></td> </tr> <tr> <td><em>θ<sub>s</sub></em></td> <td>Saturated water content</td> <td>m<sup>3</sup>/m<sup>3</sup></td> </tr> </tbody> </table> <p> </p> <p>The Global vG training dataset used for this study is available here:</p> <p><a href="https://doi.org/10.5281/zenodo.5547338">10.5281/zenodo.5547338</a></p> <p>For more details / to cite this dataset please use:</p> <ul> <li>Gupta, S., Papritz, A., Lehmann, P., Hengl, T., Bonetti, S., & Or, D. (2022). Global Mapping of Soil Water Characteristics Parameters—Fusing Curated Data with Machine Learning and Environmental Covariates. <strong><em>Remote Sensing</em></strong>, <em>14</em>(8), 1947.</li> </ul> <p>The study was supported by ETH Zurich (Grant ETH-18 18-1). We thank Zhongwang Wei, Associate professor at Sun Yat-Sen University, for helping to collect the datasets and for insightful discussions. We would like to thank Andrea Carmintai, Professor at ETH Zurich, for the insightful discussions.</p>
Long-wave infrared super-resolution wide-field microscopy by sum-frequency generation - experimental data
<p>Experimental Data for "Long-wave infrared super-resolution wide-field microscopy by sum-frequency generation", under consideration at APL, preprint: <a href="https://doi.org/10.48550/arXiv.2112.08112">https://doi.org/10.48550/arXiv.2112.08112</a></p> <p>Files:</p> <p>readme.txt: explanation of the content<br> SFGmicroscope.h5: microscope data<br> APL_test_script.m: matlab test script generating the relevant figures from the data</p> <p>For more information, please contact Richarda Niemann (niemann@fhi-berlin.mpg.de) or Alex Paarmann (alexander.paarmann@fhi-berlin.mpg.de).</p>
Supplementary dataset for "High-resolution Finite Fault Slip Inversion of the 2019 Ridgecrest Earthquake using 3D Finite Element Modeling."
<p>Supplementary dataset for "High-resolution Finite Fault Slip Inversion of the 2019 Ridgecrest Earthquake using 3D Finite Element Modeling." </p>
High-resolution GPU-accelerated Superstrings Simulation
<p>Small clip from a 4096^3 matter era simulation of U(1)xU(1) cosmic strings, a simple proxy for cosmic superstrings. Cells pierced by p-strings are colour coded in blue, those pierced by q-strings in red and pq-strings in green.</p> <p>This work was financed by FEDER---Fundo Europeu de Desenvolvimento Regional funds through the COMPETE 2020-POCI, and by Portuguese funds through FCT in the framework of the project POCI-01-0145-FEDER-028987 and PTDC/FIS-AST/28987/2017. J.R.C. is supported by an FCT fellowship (SFRH/BD/130445/2017). We acknowledge PRACE for awarding us access to Piz Daint at CSCS, Switzerland, through Preparatory Access proposal 2010PA4610, Project Access proposal 2019204986 and Project Access proposal 2020225448. Technical support from Jean Favre at CSCS is gratefully acknowledged.</p>
Variations of Subgrid-scale Turbulent Fluxes in the Convective Boundary Layer at Gray Zone Resolutions
<p>This dataset contains the data used in the submitted manuscript of Liu and Zhou 2022 JAS. Please refer to the manuscript for the detailed description of the dataset.</p>
Phylogenomic resolution of the root of Panpulmonata, a hyperdiverse radiation of gastropods: new insight into the evolution of air breathing
<p class="MsoBodyText">Transitions to terrestriality have been associated with major animal radiations including land snails and slugs in Stylommatophora (>20,000 described species), the most successful lineage of 'pulmonates' (a non-monophyletic assemblage of air-breathing gastropods). However, phylogenomic studies have failed to robustly resolve relationships among traditional pulmonates and affiliated marine lineages that comprise clade Panpulmonata (Mollusca, Gastropoda), especially two key taxa: Sacoglossa, a group including photosynthetic sea slugs; and Siphonarioidea, intertidal limpet-like snails with a non-contractile pneumostome (narrow opening to a vascularized pallial cavity). To clarify the evolutionary history of the panpulmonate radiation, we performed phylogenomic analyses on datasets of up to 1,160 nuclear protein-coding genes for 110 gastropods, including 40 new transcriptomes for Sacoglossa and Siphonarioidea. All 18 analyses recovered Sacoglossa as the sister group to a clade we named Pneumopulmonata, within which Siphonarioidea was sister to the remaining lineages in most analyses. Comparative modeling indicated shifts to marginal habitat (estuarine, mangrove and intertidal zones) preceded and accelerated the evolution of a pneumostome, present in the pneumopulmonate ancestor along with a one-sided plicate gill. These findings highlight key intermediate stages in the evolution of air-breathing snails, supporting the hypothesis that adaptation to marginal zones played an important role in major sea-to-land transitions.</p>
High-resolution catalog of the Maurienne swarm (2017-2019)
<p>High-resolution catalog of the Maurienne swarm described in the article: "Analysis of the spatio-temporal evolution of the Maurienne swarm (French Alps) based on earthquake clustering" (in review).</p> <p>The following list describes the columns found in the file:</p> <ul> <li>CLUSTID: cluster the event belongs to;</li> <li>ORTIME: unified origin time;</li> <li>LAT_DD, LON_DD, DEP_DD: latitude (decimal degrees), longitude (decimal degrees) and depth (meters) estimated with hypoDD using both catalog and crosscorrelation differential times;</li> <li>LAT_SP, LON_SP, DEP_SP: latitude (decimal degrees), longitude (decimal degrees) and depth (meters) of the events used to analyze the spatiotemporal variations of seismicity. If an event of a cluster has not been relocated with hypoDD its location corresponds to the centroid of its cluster;</li> <li>LAT_MW, LON_MW, DEP_MW: latitude (decimal degrees), longitude (decimal degrees) and depth (meters) of the events used to analyse the global b-value. If an event is not associated to a cluster relocated with hypoDD, its location is estimated with hypoDD using only catalog differential times. If this is not possible, the hypocenter of the original catalog is used;</li> <li>MW: moment magnitude.</li> </ul> <p> </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.