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1,255 results for “High-resolution”
The datasets used in the manuscript named "Fidelity of Global Tropical Cyclone Activity in a High-Resolution Reanalysis Dataset CRA40 in Comparison with Multiple Other Reanalysis Datasets"
<p>The datasets after tracking the TC events in five reanalyses: ERA5, JRA55, CFSR, MERRA2, CRA40. </p>
High-Resolution TURBINE fMRI Dataset 1
<p>Isotropic 0.67 mm visual cortex-slab TURBINE raw dataset 1 (in ISMRMRD format) for "Ultra-High Resolution fMRI at 7T using Radial-Cartesian TURBINE sampling" published in Magnetic Resonance in Medicine.</p>
High-Resolution TURBINE fMRI Dataset 2
<p>Isotropic 0.67 mm visual cortex-slab TURBINE raw dataset 2 (in ISMRMRD format) for "Ultra-High Resolution fMRI at 7T using Radial-Cartesian TURBINE sampling" published in Magnetic Resonance in Medicine.</p> <p> </p>
High-resolution (250 m) dataset for drought assessment in India
<p><strong>#################Summary########################################<br> We downscaled MODIS (MOD11A2) LST 1000 m to 250 m using the co-kriging method (Pardo-Igúzquiza et al., 2006), <br> and calculated various agriculture drought indices from the downscaled LST and EVI at 250 m.<br> The downscaled LST was then combined with EVI to evaluate various drought indices over India. <br> #################################################################</strong></p> <p><strong>################Various Abbreviation ##############################<br> Land Surface Temperature - LST<br> Enhanced Vegetation Index - EVI<br> Soil Moisture Agriculture Drought Index - SMADI<br> Normalized Vegetation Supply Water Index - NVSWI<br> Vegetation Health Index - VHI<br> Vegetation Condition Index - VCI<br> Temperature Condition Index - TCI<br> Moderate Resolution Imaging Spectroradiometer - MODIS<br> #################################################################</strong></p> <p><strong>#################################################################<br> Downscaled LST at 250m<br> The "Downscaled_method" folder consist of original 1000 m MODIS (LST_1000m_MODIS.nc) and downscaled 250 m LST (LST_250m_Downscale.nc) data.<br> #################################################################</strong></p> <p><strong>#################################################################<br> Various Drought Indices for India during 2002 drought (Folder: Drought_Indices)<br> Here all the data names are represented as Julian day with corresponding year and Drought Index. <br> Example:- File name: NVSWI02033.nc; Drought Index - "NVSWI"; year - "02"; Julian day- "033"<br> For VHI, VCI, TCI, and NVSWI, values closer to 100 represent very healthy and value close to zero represent extreme stress<br> For SMADI, values closer to 5 represent very healthy and value close to zero represent extreme stress.<br> ##################################################################</strong></p> <p><strong>##################################################################<br> Time series of NVSWI between 2000 and 2017 (Folder: NVSWI)<br> Here all the data names are represented as Julian day with corresponding year and Drought Index. <br> Example:- File name: NVSWI02033.nc; Drought Index - "NVSWI"; year - "02"; Julian day- "033"<br> ##################################################################</strong></p> <p><strong>##################################################################<br> ##################################################################</strong></p>
GULF18, a high-resolution NEMO-based tidal ocean model of the Arabian/Persian Gulf
<p>Supporting data for the GMD draft paper "GULF18, a high-resolution NEMO-based tidal ocean model of the Arabian/Persian Gulf" (© Crown copyright Met Office):</p> <p>1) input_geometry_gulf_models: bathymetry, horizontal grid and domain (in the case of GULF18-4.0) files needed to run the three Gulf models and analyse their results.</p> <p>2) analysis_gulf_models: data for figures and analysis.</p>
In-vivo, high-resolution black-blood MRI in healthy rats at 7T
<p>Raw data, which were used to obtain the results shown in the article "In-vivo, high-resolution black-blood MRI in healthy rats at 7T".</p>
Obtaining Continental-Scale, High-Resolution 2-d Ionospheric Flows and Application to Meso-Scale Flow Science
<p>The SuperDARN 2-d velocity vectors using the spherical elementary current systems (SECS) technique. The file names show UT. Each file contains magnetic latitude and longitude, geographic latitude and longitude, northward and eastward velocity in magnetic, northward and eastward velocity in geographic, and the number of echoes in each grid. AACGM is used as the magnetic coordinates.</p>
Collaborative High-Resolution Observation Datasets of an Eddy Using an Underwater Glider Network
<p>This matlab mat data provides data from 12 underwater gliders in the northern South China Sea in 2017.</p> <p>Please contact Haibo Tang at tanghb6@mail2.sysu.edu.cn for any questions. <br> <br>Wish you good luck!</p>
High-resolution respirometry in a small-volume chamber
Open the record for dataset details and reuse information.
Validation and Test Datasets for "High-resolution AI image dataset for diagnosing oral submucous fibrosis and squamous cell carcinoma"
<p>This deposition contains the validation and test dataset for our study "High-resolution AI image dataset for diagnosing oral submucous fibrosis and squamous cell carcinoma".</p> <p>The training dataset for this study can be found at the following DOI: [<strong>10.5281/zenodo.12636426</strong>].<br><br></p>
Data for clear-air turbulence calculated from high-resolution radiosonde measurements at cruising altitudes in China during the period from 2010 to 2022.
<p>The file is the turbulence dissipation rate(ε) data, calculated using high-resolution radiosonde measurements at cruising altitudes in China, during the period from 2010 to 2022. More description can be seen in the read_me.txt.</p>
Cases (A study with high-resolution manometry)
<p>Data underlying the findings described in the manuscript "Effect of dry swallows and bolus swallows of different volumes on pharyngeal and upper esophageal sphincter pressure: A study with high-resolution manometry"</p>
Dataset of "Annual Cycle of Gravity Wave Variability Derived from a High-Resolution Martian General Circulation Model" (3/3)
<p>This dataset contains the GrADS data of high-resolution Mars GCM results used for figures in the paper "Annual Cycle of Gravity Wave Variability Derived from a High-Resolution Martian General Circulation Model" by T. Kuroda, E. Yiğit and A.S. Medvedev.</p> <p>Each file contains two-dimensional (X: longitude, Y: latitude) data of surface pressure (Ps) and dust opacity in infrared wavelength (tau), and three-dimensional (X: longitude, Y: latitude, Z:sigma-level) data of temperature (T), zonal wind velocity (u), meridional wind velocity (v) and vertical wind velocity (w). Each tar.xz file contains snapshots of those data in every 1/6 Sol for Ls of 30 degrees.</p> <p>data210rdc.tar.xz: for Ls=210-240 (47 Sols)</p> <p>data240rdc.tar.xz: for Ls=240-270 (46 Sols)</p> <p>data270rdc.tar.xz: for Ls=270-300 (48 Sols)</p> <p>data300rdc.tar.xz: for Ls=300-330 (51 Sols)</p> <p>data330rdc.tar.xz: for Ls=330-360 (56 Sols)</p>
Dataset of "Annual Cycle of Gravity Wave Variability Derived from a High-Resolution Martian General Circulation Model" (2/3)
<p>This dataset contains the GrADS data of high-resolution Mars GCM results used for figures in the paper "Annual Cycle of Gravity Wave Variability Derived from a High-Resolution Martian General Circulation Model" by T. Kuroda, E. Yiğit and A.S. Medvedev.</p> <p>Each file contains two-dimensional (X: longitude, Y: latitude) data of surface pressure (Ps) and dust opacity in infrared wavelength (tau), and three-dimensional (X: longitude, Y: latitude, Z:sigma-level) data of temperature (T), zonal wind velocity (u), meridional wind velocity (v) and vertical wind velocity (w). Each tar.xz file contains snapshots of those data in every 1/6 Sol for Ls of 30 degrees.</p> <p>data090rdc.tar.xz: for Ls=090-120 (64 Sols)</p> <p>data120rdc.tar.xz: for Ls=120-150 (60 Sols)</p> <p>data150rdc.tar.xz: for Ls=150-180 (54 Sols)</p> <p>data180rdc.tar.xz: for Ls=180-210 (49 Sols)</p>
Dataset of "Annual Cycle of Gravity Wave Variability Derived from a High-Resolution Martian General Circulation Model" (1/3)
<p>This dataset contains the GrADS data of high-resolution Mars GCM results used for figures in the paper "Annual Cycle of Gravity Wave Variability Derived from a High-Resolution Martian General Circulation Model" by T. Kuroda, E. Yiğit and A.S. Medvedev.</p> <p>Each file contains two-dimensional (X: longitude, Y: latitude) data of surface pressure (Ps) and dust opacity in infrared wavelength (tau), and three-dimensional (X: longitude, Y: latitude, Z:sigma-level) data of temperature (T), zonal wind velocity (u), meridional wind velocity (v) and vertical wind velocity (w). Each tar.xz file contains snapshots of those data in every 1/6 Sol for Ls of 30 degrees.</p> <p>data000rdc.tar.xz: for Ls=000-030 (61 Sols)</p> <p>data030rdc.tar.xz: for Ls=030-060 (66 Sols)</p> <p>data060rdc.tar.xz: for Ls=060-090 (67 Sols)</p>
Datasets for : High-resolution detection and differential expression analysis of transcription start sites using MAPCap
<p>This dataset corresponds to the study: High-resolution detection and differential expression analysis of transcription start sites using MAPCap (Bhardwaj et. al. 2018)</p> <p>It includes:</p> <p> - TSS identified using MAPCap in stage 15 embryos and larvae.</p> <p> - Differentially expressed TSS using MAPCap (FDR < 0.05) in larvae.</p> <p> - Common and stage-specific enhancer TSS identified in this study</p>
X-ray dataset for "Illumination improvements for high-resolution ptychography"
<p>We provide X-ray ptychography datasets used for publication "Illumination improvements for high-resolution ptychography"</p> <p>The provided datasets are stored in Matlab MAT files and they contain:<br> measured_intensities uint16 - photon counts measured by a 2D hybrid-pixel detector in every scanning position <br> probe_positions double - relative probe position already converted to units of the real-space pixel shift<br> detector_mask logical - mask which is true for good pixel and false for ignored (bad or missing) pixels<br> initial_probe complex double - initial estimate of the reconstruction probe</p> <p>The pixel size for the FCC_particle datasets is 27.43nm and for the siemens_star datasets it is 9.97x14.16nm</p> <p> </p>
FIG. 10 in Description of a New Blind and Rare Species of Xyliphius (Siluriformes: Aspredinidae) from the Amazon Basin Using High-Resolution Computed Tomography
FIG. 10. Distributions of valid species of Xyliphius based on museum specimens and literature accounts (Alonso de Arámburu and Arámburu, 1962; Orcés, 1962; Taphorn and Marrero, 1993; Maldonado-Ocampo et al., 2005; Figueiredo and Britto, 2010; Ohara and Zuanon, 2013). Black triangles ¼ X. kryptos; white triangles ¼ X. magdalenae; white circles ¼ X. melanopterus; black circles ¼ X. lepturus; star ¼ X. sofiae; black squares ¼ X. barbatus; white diamonds ¼ X. anachoretes; circles half black, half white mark localities where X. melanopterus and X. lepturus were collected together.
FIG. 7 in Description of a New Blind and Rare Species of Xyliphius (Siluriformes: Aspredinidae) from the Amazon Basin Using High-Resolution Computed Tomography
FIG. 7. HRXCT model of suspensorium plus lower jaw (A) and hyoid arch (B–C) of Xyliphius sofiae, ANSP 182322, 44.1 mm SL. ach: anterior ceratohyal; ang: anguloarticular; br: branchiostegal rays; den: dentary; en: endopterygoid; hyo: hyomandibula; ih: interhyal; iop: interopercle; mc: mandibular canal tubules; met: metapterygoid; op: opercle; pch: posterior ceratohyal; pop: preopercle; qu: quadrate; ret: retroarticular; sup: suprapreopercle; uh: urohyal; vh: ventral hypohyal. Scale bar ¼ 2 mm.
FIG. 4 in Description of a New Blind and Rare Species of Xyliphius (Siluriformes: Aspredinidae) from the Amazon Basin Using High-Resolution Computed Tomography
FIG. 4. HRXCT model of skull and anterior body of Xyliphius sofiae, ANSP 182322, holotype, 44.1 mm SL. (A) Dorsal view. (B) Lateral view of left side. ang: anguloarticular; at: antorbital tubule; br: branchiostegal rays; cl: cleithrum; co: scapulocoracoid; cv: complex vertebrae; den: dentary; en: endopterygoid; epo: epioccipital; ex: extrascapular; fr: frontal; hyo: hyomandibula; ih: interhyal; io1: infraorbital 1; iop: interopercle; iot: infraorbital tubules; lal: lateral line tubules; let: lateral ethmoid; mc: mandibular canal tubules; mes: mesethmoid; met: metapterygoid; mnp: middle nuchal plate; mx: maxilla; na: nasal; op: opercle; pal: autopalatine; pch: posterior ceratohyal; pfr: pectoral-fin rays; pmx: premaxilla; po: preopercle; ps: pectoral-fin spine; pto: pterotic; pv5: parapophysis of vertebra five; qu: quadrate; rad: pectoral-fin radial; rb6: rib six; ret: retroarticular; sc: posttemporal-supracleithrum; soc: supraoccipital; spo: sphenotic; sup: suprapreopercle; v6: vertebrae six. Scale bar ¼ 2 mm.
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.