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5,155 results for “resolution”
Figure 6. High-resolution x in Two new catfish species of typically Amazonian lineages in the Upper Rio Paraguay (Aspredinidae: Hoplomyzontinae and Trichomycteridae: Vandelliinae), with a biogeographic discussion
Figure 6. High-resolution x-ray computerized microtomography (HRXCT) of Ernstichthys taquari, MZUSP 125825, holotype, 22.8 mm SL. (a) Dorsal view, (b) lateral view of left side, (c) ventral view. acf: anterior cranial fontanel; ach: anterior ceratohyal; ang: anguloarticular; bp: basipterygium; br: branchiostegal rays; cl: cleithrum; co: coracoid; cv: complex vertebra; den: dentary; ds: dorsal shield element; eap: expanded first anal-fin pterygiophore (= second ventral shield); ehs: expanded hemal spine (= first ventral shield); fr: frontal; hyo: hyomandibula; io1: first infraorbital; iop: interopercle; let: lateral ethmoid; lp: lateral plate element (= expanded lateral-line ossicle); mes: mesethmoid; mnp: middle nuchal plate; mx: maxilla; op: opercle; pa: parasphenoid; pal: palatine; pch: posterior ceratohyal; pfr: pelvic-fin rays; pfs: pectoral-fin spine; pmx: premaxilla; pnp: posterior nuchal plate (= first dorsal shield); pso: parietosupraoccipital; pto: pterotic; pv5: parapophysis of fifth vertebra; qu: quadrate; sc: posttemporosupracleithrum; spo: sphenotic; vh: ventral hypohyal; vs: ventral shield element.
Ormond Castle, Avoch (High resolution model)
**(High resolution model, which may take some time to load and may not be suitable for portable devices)** Following a site survey in March 2016 carried out by members of Avoch Community Archaeology (ACA) and the North of Scotland Archaeological Society (NOSAS), this 3d model of Ormond Hill has been produced. Many hitherto unknown features were recorded, adding to our knowledge of the site, which is far more complex than Beaton's plan of 1885 might suggest. Further investigation/excavation is planned. https://canmore.org.uk/site/13572/ormond-castle (Special thanks to Alan Thompson of NOSAS for permitting the use of his photographs in creating the model.) Source: Objaverse 1.0 / Sketchfab
INDIAN Steps Entry Sculpture (low resolution)
Entry to Indian Steps Museum located along the Susquehanna River, York County, Pennsylvania, USA Sculptor: Thomas J Carroll, dated 1912 Source: Objaverse 1.0 / Sketchfab
Drinking Fountain Uxbridge Low Resolution
A drinking fountain in Uxbridge Memorial ground opposite, the southern end of Windsor Street. Date: 1901 http://www.mdfcta.co.uk/details-f/f263.html 15000 triangles. 2k texture. 204 photos taken in July 2020 with a Sony a6000 and processed in Reality Capture. This model is the low resolution version of this high res scan: https://skfb.ly/6TXPV Source: Objaverse 1.0 / Sketchfab
Greyside 2022 dig high resolution
3D model made from 40 photos to record final state of main excavation trench in 2nd season archaeology dig in March 2022 at Greyside near Warden, Northumberland. In 2022 a 2m (N-S) x 10m (E-W) trench was excavated along the axis of the farmstead eastwards (with a small overlap) from the 2020 trench which focussed on the western part of the central compartment shown to be a byre. It crossed the wall between the central compartment, entering the eastern compartment. Later it was extended southwards each side of this wall, reaching the south wall of the farmstead. A second small trench 0.8m (N-S) x 3.5m (E-W) was dug across the east wall of the farmstead, to examine the floor in the east end of the eastern compartment. Source: Objaverse 1.0 / Sketchfab
Trilobite - Printable (high resolution)
Trilobite fossil found in Mount Holyoke College's Skinner Museum! Photogrammetry by Laura Shea, model constructed using Agisoft Photoscan and help from Laura Shea. Created as part of a final project for Mark McMenamin's Geosciences in the Makerspace course. Highest resolution possible. Source: Objaverse 1.0 / Sketchfab
High-resolution air temperature observations near the surface using fiber-optic distributed temperature sensing
<p>Time-lapse animation of air temperature observations near the surface, highlighting wave-like motion in opposite direction of the mean wind. </p> <p> </p>
Data for "The effect of pattern overlap on the accuracy of high resolution electron backscatter diffraction measurements"
<p>Data for "The effect of pattern overlap on the accuracy of high resolution electron backscatter diffraction measurements"</p> <p>Vivian Tong1, Jun Jiang1, Angus J Wilkinson2, and T Ben Britton1<br /> 1. Department of Materials, Imperial College London, Prince Consort Road, London, SW7 2AZ, UK<br /> 2. Department of Materials, University of Oxford, Parks Road, Oxford, OX1 3PH, UK</p> <p>For more information please contact: b.britton@imperial.ac.uk (Ben Britton)</p> <p>--<br /> The zip contains three subfolders:<br /> Fig4 Interaction volume measurement<br /> Fig14 Error approaching gb<br /> Fig16 GrainBoundaryProbability</p> <p>--<br /> Further details:</p> <p>Fig4 Interaction volume measurement -</p> <p>Measurement and simulation data of EBSD inteaction volume</p> <p>Includes calculated model & EBSD patterns for measurement<br /> EBSD patterns are from Zircaloy-4 and scanned on a Bruker eFlashHR camera in high resolution mode (1600 x 1200) attached to a Zeiss Auriga-40 SEM. The sample was tilted to 70 degrees and the SEM image shows the tilt corrected scanned region.</p> <p><br /> Fig14 Error approaching gb -<br /> 15 patterns are included that were used to create many simulated grain boundary pairs. These were captured from the same sample as used in Fig4.<br /> The spreadsheet details results shown in Fig 4.</p> <p><br /> Fig 16 GrainBoundary Pobability -<br /> This describes results from the simple Voronoi tessalation model (virtual grain structure) and sampling with a fixed step size, similar to a real EBSD scan. Probabilities were calcualted for different interaction volume sizes and critical distances.</p> <p> </p>
Atomic resolution X-ray crystal structure of cisplatin bound to hen egg white lysozyme stored for 5 years ‘on the shelf’
<p>These are the raw diffraction images for crystals 1 and 2 underpinning PDBe code 5LXW.</p>
Globular Cluster Abundances from High-Resolution, Integrated-Light Spectroscopy. II. Expanding the Metallicity Range for Old Clusters and Updated Analysis Techniques
<p>Data from:</p> <p> Globular Cluster Abundances from High-Resolution, Integrated-Light Spectroscopy.<br> II. Expanding the Metallicity Range for Old Clusters and Updated Analysis Techniques (Astrophysical Journal)</p> <p> J. E. Colucci, R. A. Bernstein, A. McWilliam, Observatories of the Carnegie Institution for Science</p> <p>This repository contains reduced globular cluster integrated light echelle spectra in IRAF readable format. <br> NOTE: Spectra are *not* flux calibrated or doppler corrected. Sky/Background emission and absorption lines <br> are present. See reference paper for data reduction details.</p> <p>For each globular cluster:<br> <br> 1. *Approximately* normalized spectra are found in files ending with "ils_normalized.fits." The echelle<br> blaze function normalization was performed with an order by order fit to spectra of a reference G-type star.</p> <p> 2. Unnormalized spectra are found in files ending with "ils.fits." These spectra are not flux calibrated so do not<br> use the count values in each order for science purposes. </p> <p><br> Spectra for the globular clusters NGC 104, NGC 362, NGC 2808, NGC 6093, NGC 6397, NGC 6752 were <br> taken with the DuPont telescope. A reference star spectrum associated with the DuPont data is included : hr914_std.fits</p> <p>Spectra for the globular clusters NGC 6388, NGC 6440, NGC 6441, NGC 6528, NGC 6553 were taken with the <br> MIKE spectrograph on Magellan Clay. A reference star spectrum associated with this data is included: ltt9239_std.fits</p> <p>Spectra for the globular cluster Fornax 3 was taken with the MIKE spectrograph on Magellan Clay on a different run. <br> A reference star spectrum associated with this data is included: hd033771_std.fits</p> <p>This research was supported by an NSF Astronomy and Astrophysics Postdoctoral Fellowship under award AST-1302710.</p>
High-resolution tracking of microbial colonization in Fecal Microbiota Transplantation experiments via metagenome-assembled genomes
<p>This project contains anvi'o profiles and contigs databases that is used and/or referenced from the Lee STM and Khan SA, <em>et al.</em> study titled "<strong>High-resolution tracking of microbial colonization in Fecal Microbiota Transplantation experiments via metagenome-assembled genomes</strong>". The pre-print of this study is available via http://dx.doi.org/10.1101/090993.</p> <p>To be able to work with the data files you will need anvi'o <strong>v2.1.0</strong> to be installed on your system. For installation instructions, or to have access to a Docker image for anvi'o, please visit this URL: http://merenlab.org/software/anvio</p> <p>Public data:</p> <ul> <li><strong>ANVIO-FMT-D-R01-R02-QUICK-VISUALIZATION.tar.gz</strong>: Data files for a quick visualization of the 97 MAGs and their distribution across the two FMT recipients. A run script in the archive explains how to use this data.<br> </li> <li><strong>ANVIO-FMT-D-R01-R02-MERGED-PROFILE.tar.gz</strong>: The merged anvi'o profile for the entire data, which also contains a collection of 97 MAGs identified in the donor. The profile database contains no hierarchical clustering of contigs, however, individual MAGs can be displayed via the following notation since the collection 'MAGs' describe the organization of contigs in each MAG referenced from the dataset `ANVIO-FMT-D-R01-R02-QUICK-VISUALIZATION`, as well as from the paper: "anvi-refine -c CONTIGS.db -p PROFILE.db -C MAGs -b <em>FMT-Donor_MAG_00054</em>". All MAG names are in the supplementary tables in our paper.<br> </li> <li><strong>ANVIO-FMT-D-R01-R02-MAGs-SUMMARY.tar.gz</strong>: A static HTML website that contains FASTA files for each MAG, and TAB-delimited matrices for coverage and detection values, and others. After unpacking, you can double-click the index.html file. </li> </ul>
Raw data sets for: A simple calculation algorithm to seperate high-resolution CH4 flux measurements into ebullition- and diffusion derived components (AMT)
<p>Raw data sets for the research article "A simple calculation algorithm to seperate high-resolution CH4 flux measurements into ebullition- and diffusion derived components", published in "Atmospheric Measurment Techniques" (AMT). Data sets include raw data sets for the field and laboratory study, as well as calculated CH4 fluxes (field).</p>
High resolution X-ray diffraction images for yeast 5-aminolevulinic acid dehydratase complexed with levulinic acid.
<p>X-ray diffraction images collected at DESY Hamburg in June 1998 using beamline BW7B. </p>
X-ray diffraction images for endothiapepsin co-crystallised with inhibitor H189 to 0.94 Angstrom resolution.
<p>X-ray diffraction images collected on 23rd May 2000 at the BW7B beamline of DESY (Hamburg). </p>
High resolution images for 'Identification of "BRAF-positive" cases based on whole-slide image analysis'
<p>This archive contains high resolution images to accompany the article 'Identification of “BRAF-positive” cases based on whole-slide image analysis' by V. Popovici, A. Krenek and E. Budinska.</p>
Uribe-Rivera et al 2017 DataSet: High resolution bioclimatic layers for southwest of South America for three recent past periods (1970, 1990 and 2010)
<p>These files were generated as part of the article "Dispersal and extrapolation on the accuracy of temporal predictions from distribution models for the Darwin’s frog" (Uribe-Rivera et al. 2017; accepted in Ecological Applications)</p> <p>We used point data of meteorological stations between 34°-48°S and 70°-75°W, to generate new climatic surfaces for three recent past periods (1970; 1990; 2010). Meteorological data encompassed 293 weather stations, and were extracted from three databases: Dirección Meteorológica de Chile (DMC); Dirección General de Aguas de Chile (DGA); and the FAOClim-NET Agroclimatic database management system (FAO 2001), recording monthly records of mean daily minimum temperature, mean daily maximum temperature and total rainfall for 5-year periods (1965-1969 for 1970 climatic conditions; 1985-1989 for 1990 climatic conditions; and 2005-2009 for 2010 climatic conditions). For each period monthly mean values of each climatic variable were interpolated to generate surfaces using Anusplin v.4.4 (Hutchinson and Xu 2006), which applies the same algorithm used to derive the WorldClim bioclimatic surfaces (Hijmans et al. 2005). Interpolations were fitted following Pliscoff et al. (2014) at a ~1x1 Km resolution, with elevation as an independent variable using the GTOPO30 global digital elevation model (USGS, 1996). Because some weather stations do not have information for every month, we used the option of non-data of Anusplin. The quality of interpolations of climatic data was assessed calculating the Pearson correlation coefficient at the cell level between the monthly climatic values from the CRU-TS v3.10.01 Historic Climate Database for GIS (Climatic Research Unit - Time Series, 2012), and the monthly climatic values from the new climatic layers. Finally, surfaces of 19 bioclimatic variables were generated using the dismo package in R (Hijmans et al. 2014).</p> <p>All bioclimatic layers were uploaded in a single compressed ZIP file. Individual layers can be found inside it as georeferenced ASCII raster files, and nominated primarily by time period, and secundarily by the number of bioclimatic layer, following the worldclim nomenclature (http://www.worldclim.org/bioclim).</p>
Mahintale, Sri Lanka. Ambasthala Dagaba [low resolution version].
<p>Mahintale, Sri Lanka. Ambasthala Dagaba [low resolution version], as documented in 1999.</p>
Analysis of lac operon induction with single cell resolution using the DIMM microfluidics chip and the MoMA software
<p>In this work, we demonstrate the power of the DIMM (Dual Input Mother Machine), a new microfluidics setup allowing long term environmental control and single cell resolution, and MoMA (Mother Machine Analyzer), its companion image analysis sofware.</p> <p>We study the induction of the <em>lac</em> operon in <em>Escherichia coli</em> MG1655 when nutrients alternate between glucose and lactose, using a translational fusion of LacZ with GFP integrated at the endogeneous locus.</p> <p>The dataset is made of two archives:</p> <ul> <li>DIMM_MoMA_images.tar.gz contains the image data produced in this study in a form ready to be used in MoMA</li> <li>DIMM_MoMA_data.tar.gz contains textual data files produced by MoMA and its postprocessing, with the cell identifier, length and fluorescence intensity of each cell in each frame.</li> </ul> <p>Detailed instructions are provided in the ReadMe.md file (NB: this is a text file using markdown syntax, you can open it in your favorite text editor).</p>
Dissection of core promoter syntax through single nucleotide resolution modeling of transcription initiation (CLIPNET data)
<div>This contains data necessary to reproduce the figures in the CLIPNET paper (preprint <a href="https://www.biorxiv.org/content/10.1101/2024.03.13.583868">here</a>) as well as processed data used to train and evaluate CLIPNET. To preserve subdirectory structure, we've packaged the data into tar archives. Please refer to the README documents in our manuscript GitHub repo for more details on file contents: <a href="https://github.com/Danko-Lab/clipnet_paper/">https://github.com/Danko-Lab/clipnet_paper/</a></div> <div> </div> <div>Pretrained CLIPNET models are archived separately at <a href="../doi/10.5281/zenodo.10408622">DOI 10.5281/zenodo.10408622</a></div> <div> </div> <div>V5: Fixed bug in calculation of profile attribution scores causing them to be off by a factor of exactly 500. Genome-wide DeepSHAP tracks & TF-MoDISco tracks have been accordingly updated. I have not updated the individual examples, as these can be quickly fixed by simply multiplying by 500 when plotting. Additionally, I have uploaded profile and quantity motif calls, which contain genome-wide seqlet annotations. The columns in these files are [chrom, start, end, peak_idx, motif_annotation].</div> <div>V4: Uploaded individual bigWigs. These have been lifted over using CrossMap from the original hg19 (GSE110638) to hg38 and RPM normalized.</div> <div>V3: Final version prior to journal submission. Don't recall exact details of what's changed.</div> <div>V2: evaluation_metrics.tar.gz and evaluation_data.tar.gz have been replaced. Previously, we benchmarked the models by treating each peak in each individual as a separate data point. Here, we instead predicted from the reference genome and compared against the averaged bigWigs.</div>
Deep Learning with Satellite Images Enables High-Resolution Income Estimation: a Case Study of Buenos Aires
<p>This repository contains the datasets required for replicating the results in Abbate et al (forthcoming). The datasets also include per capita income estimates at a 50x50 meter resolution for the years 2013, 2018, and 2022, using satellite images from the Metropolitan Area of Buenos Aires (Argentina) and 2010 census+survey data. The model, based on the EfficientnetV2 architecture, achieved high accuracy in predicting household incomes (R2=0.878), surpassing existing methods in spatial resolution and performance. </p> <p>Inside the Replication Package folder, the user can replicate the main results from the paper. This includes:</p> <ol> <li> <p><strong>Small Area Estimation (SAE) Replication:</strong></p> <ul> <li> <p><strong>Argentina Household Survey Data (EPH):</strong> Processed microdata for 2010, 2013, 2018, and 2022 (ARG_*_EPHC-S2_*.dta).</p> </li> <li> <p><strong>Argentina Census Microdata:</strong> Raw 2010 census microdata (censo2010_fullraw_p.dta).</p> </li> <li> <p><strong>Census Tract Map:</strong> Shapefile of 2010 census tracts (radios_eph_with_link.shp).</p> </li> <li> <p><strong>SAE Output:</strong> The final small_area_estimates.parquet file containing census tract-level population and estimated income, which serves as labels for the CNN model.</p> </li> </ul> </li> <li> <p><strong>CNN-based Income Prediction Replication (Paper Results):</strong></p> <ul> <li> <p><strong>CNN Model Income Predictions:</strong> Gridded 50x50m income estimates for Buenos Aires for 2013, 2018, and 2022 (income_estimates_*.shp).</p> </li> <li> <p><strong>Normalization Scalars:</strong> A CSV file (scalars_ln_pred_inc_mean_trimTrue.csv) to convert the model's log-scale outputs into real income values (2010 PPP-adjusted Argentinian pesos).</p> </li> <li> <p><strong>World Settlement Footprint (WSF):</strong> Satellite-based data (WSF2015_v2_-60_-36.tif) used to mask predictions in uninhabited areas.</p> </li> </ul> </li> </ol> <p>Key prediction datasets are published in shapefile format, while input data for SAE and other auxiliary files are in formats like .dta, .parquet, .csv, and .tif.</p> <p>Results can be replicated by connecting these datasets with the scripts available at the GitHub repo linked below.</p> <p>For researchers who wish to replicate the full analysis pipeline starting from the original source imagery, the data must be acquired commercially. The proprietary Pleiades and Pleiades NEO satellite imagery is owned by Airbus and can be purchased through their data portal: https://space-solutions.airbus.com/imagery/. To facilitate this process, we provide the unique product identifiers for each scene used in this study. These identifiers can be used to query the Airbus archive and purchase the exact scenes.</p> <ul> <li><strong>Pléiades</strong>: for 2013 imagery the IDs are DS_PHR1A_201302051411520_FR1_PX_W059S35_0807_03124, DS_PHR1A_201302071357305_FR1_PX_W059S35_0410_06105 and DS_PHR1A_201302071357509_FR1_PX_W059S35_0609_05426, and for 2018, DS_PHR1A_201803251356358_FR1_PX_W059S35_0909_03875, DS_PHR1A_201808021356574_FR1_PX_W059S35_0509_06938 and DS_PHR1A_201808021357186_FR1_PX_W059S35_0706_06104.</li> <li><strong>Pleiades NEO</strong>: for 2022 imagery the IDs used are 000047717_1_22_STD_A, 000047717_1_24_STD_A, 000047717_1_25_STD_A, 000047717_1_26_STD_A, 000058605_1_3_STD_A, 000058605_1_4_STD_A, 000058605_1_7_STD_A, and 000058608_1_2_STD_A.</li> </ul> <p><strong>Important Usage Note:</strong> Since the predictions for each 50x50m cell individually present some random variation, we recommend that the results are used by averaging out the estimations for each area of interest (e.g., municipalities, neighborhoods, sections, or census tracts) and not at an individual cell level. As detailed throughout the paper, the aggregated results, even in small areas such as census tracts, predict household incomes with precision.</p> <p>Furthermore, inside this repository, it is possible to access and use the model’s trained parameters to make predictions about different satellite images.</p> <p>Data can be visualized by accessing: <a href="https://ingresoamba.netlify.app">https://ingresoamba.netlify.app</a></p> <p> </p> <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.