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1,037 results for “large-scale”
Supplementary material for "A large-scale demonstration and sustainability evaluation of ductile-porous vascular networks for self-healing concrete"
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Large-scale purification of Q23 and Q54 HTT-HAP40 from Sf9 expression system 2019/07/29
<p><strong>Project: </strong>Biophysical investigation of purified HTT protein samples</p> <p><strong>Experiment: </strong>Large-scale purification of Q23 and Q54 HTT-HAP40 from Sf9 expression system</p> <p><strong>Date completed:­ </strong>2019/07/29</p> <p><strong>Rationale: </strong>HTT samples are to be purified from different systems for subsequent biophysical and structural studies. </p>
Large-scale purification of Q23 and Q54 HTT from Sf9 and EXPI293F expression systems 2019/07/22
<p><strong>Project: </strong>Biophysical investigation of purified HTT protein samples</p> <p><strong>Experiment: </strong>Large-scale purification of Q23 and Q54 HTT from Sf9 and EXPI293F expression systems</p> <p><strong>Date completed:­ </strong>2019/07/22</p> <p><strong>Rationale: </strong>HTT samples are to be purified from different systems for subsequent biophysical and structural studies. </p>
Dataset of "A large-scale empirical study of compiler errors in continuous integration"
<p>Data obtained from the authors, uploaded with permission.</p> <p>Warning: Uncompressed is >3TB</p>
data for deep learning large-scale drug discovery and repurposing
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DsCGF: A large-scale open image dataset for deep learning enabled intelligent sorting and analyzing of raw coal (part 2)
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DsCGF: A large-scale open image dataset for deep learning enabled intelligent sorting and analyzing of raw coal (part 1)
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DsCGF: A large-scale open image dataset for deep learning enabled intelligent sorting and analyzing of raw coal (part 3)
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LCMDC: Large-scale Chinese Medical Dialogue Corpora for Automatic Triage and Medical Consultation
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Exploring Protein Conformational Changes Using a Large-scale Biophysical Sampling Augmented Deep Learning Strategy
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A General Optimization Model for Coupling Topology and Nodal Coordinates in Large-Scale Biorthogonal Tensegrity Structures
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Dataset for: Magnetic Mineralogy and Paleomagnetic Record of the Nama Group: Implications for Large-Scale Remagnetization of West Gondwanaland and Ediacaran Geomagnetic Instability
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Dataset used for the paper entitled: Large-scale water quality patterns across Portugal using a long-term nationwide dataset (1970-2024)
<p>This repository contains the dataset and plots generated for the paper described above, which are listed below</p> <ol> <li>Dataset: <ol> <li>Folder: dataset.zip</li> <li>File format: NPY (standard binary file format in NumPy/Python for NumPy arrays) </li> </ol> </li> <li>Plots: <ol> <li>Folder: HTML_plots.zip</li> <li>File format: HTML (for interactive exploring and broad accessibility)</li> </ol> </li> <li>Basins interception with Landuse: <ol> <li>Folder: basin_LU_intersect.zip</li> <li>File format: NPY (standard binary file format in NumPy/Python for NumPy arrays) </li> </ol> </li> </ol>
WikiDBs - A Large-Scale Corpus Of Relational Databases From Wikidata
<p><a href="https://wikidbs.github.io/" target="_blank" rel="noopener">WikiDBs</a> is an open-source corpus of 100,000 relational databases. We aim to support research on tabular representation learning on multi-table data. The corpus is based on <a href="https://www.wikidata.org/" target="_blank" rel="noopener">Wikidata</a> and aims to follow certain characteristics of real-world databases.</p> <p>WikiDBs was published as a <a href="https://openreview.net/pdf?id=abXaOcvujs" target="_blank" rel="noopener">spotlight paper</a> at the Dataset & Benchmarks track at NeurIPS 2024.</p> <p>WikiDBs contains the database schemas, as well as table contents. The database tables are provided as CSV files, and each database schema as JSON. The 100,000 databases are available in five splits, containing 20k databases each. In total, around 165 GB of disk space are needed for the full corpus. We also provide a script to convert the databases into SQLite.</p>
Data from: A large-scale phylogeny of Amphibia including over 2800 species, and a revised classification of extant frogs, salamanders, and caecilians
The extant amphibians are one of the most diverse radiations of terrestrial vertebrates (>6800 species). Despite much recent focus on their conservation, diversification, and systematics, no previous phylogeny for the group has contained more than 522 species. However, numerous studies with limited taxon sampling have generated large amounts of partially overlapping sequence data for many species. Here, we combine these data and produce a novel estimate of extant amphibian phylogeny, containing 2871 species (40% of the known extant species) from 432 genera (85% of the 500 currently recognized extant genera). Each sampled species contains up to 12,712 bp from 12 genes (three mitochondrial, nine nuclear), with an average of 2563 bp per species. This data set provides strong support for many groups recognized in previous studies, but it also suggests non-monophyly for several currently recognized families, particularly in hyloid frogs (e.g., Ceratophryidae, Cycloramphidae, Leptodactylidae, Strabomantidae). To correct these and other problems, we provide a revised classification of extant amphibians for taxa traditionally delimited at the family and subfamily levels. This new taxonomy includes several families not recognized in current classifications (e.g., Alsodidae, Batrachylidae, Rhinodermatidae, Odontophrynidae, Telmatobiidae), but which are strongly supported and important for avoiding non-monophyly of current families. Finally, this study provides further evidence that the supermatrix approach provides an effective strategy for inferring large-scale phylogenies using the combined results of previous studies, despite many taxa having extensive missing data.
FIG. 1. — Souzalopesmyia polleti n in Souzalopesmyia Albuquerque, 1951 (Diptera: Muscidae): new species from South America with an updated phylogeny based on morphological evidence, in Touroult J. (ed.), "Our Planet Reviewed" 2015 large-scale biotic survey in Mitaraka, French Guiana.
FIG. 1. — Souzalopesmyia polleti n. sp.: A-D, ♂ holotype: head, anterior view (A); head, lateral view (B); lateral view (C); dorsal view (D); E-H, ♀ paratype: head anterior view (E); head lateral view (F); lateral view (G); dorsal view (H). Scale bars: 1.0 mm.
FIG. 4 in Souzalopesmyia Albuquerque, 1951 (Diptera: Muscidae): new species from South America with an updated phylogeny based on morphological evidence, in Touroult J. (ed.), "Our Planet Reviewed" 2015 large-scale biotic survey in Mitaraka, French Guiana.
FIG. 4. — Geographical distribution of the species of Souzalopesmyia Albuquerque,1951 from South America, with phylogenetic tree superimposed. Symbols: ●, S. sulina de Carvalho, 1999; ●, S. carioca Albuquerque, 1951; ●, S. singularis (Stein, 1911); ●, Souzalopesmyia polleti n. sp.; ●, S. paraensis de Carvalho, 1999; ●, S. amazonica Albuquerque, 1951;, Souzalopesmyia sp.
FIG. 3 in Souzalopesmyia Albuquerque, 1951 (Diptera: Muscidae): new species from South America with an updated phylogeny based on morphological evidence, in Touroult J. (ed.), "Our Planet Reviewed" 2015 large-scale biotic survey in Mitaraka, French Guiana.
FIG. 3. — Most parsimonious phylogenetic hypothesis obtained from the analysis of a morphological data set of the six species of Souzalopesmyia and the three outgroups species (Helina praecipua (Walker, 1853), Phaonia praesuturalis (Stein, 1904) and Dolichophaonia trigona (Shannon & Del Ponte, 1926)). All characters were given the same weight and treated as unordered. Tree length: 34, consistency index: 0.82, retention index: 0.84. Filled circles represent unique transforma- tion, and empty circles represent homoplastic character state transformation under fast optimization. Characters and character states: see Appendix.
Data files used in the paper "First Radar Evidence of Large-Scale Englacial Folding in the South Polar Layered Deposits (Ultimi Scopuli, Mars) and Possible Ice Sheet Flow Unveiled by MARSIS" By Guallini et al.
<p>This archive contains radargrams, geometric information and visualizations of a subset of MARSIS radar observations over Planum Australe, Mars. This archive contains everything needed to reproduce the results presented in the paper "Large-scale folds detected by MARSIS in the Southern ice sheet of Ultimi Scopuli (Mars)" by Guallini et al.</p> <p>Three types of MARSIS data files are contained in this archive:</p> <p>* orbit_XXXXX_frequency_Y_MHz_radargram.csv, where XXXXX is the orbit number, and Y the frequency at which the radar was operating, in MHz. The file contains an ASCII table of real numbers separated by commas. The table has as many columns as the number of radar echoes acquired during the orbit (usually 3200), and 980 lines, one for each echo sample. Values are samples of the uncalibrated echo voltage, without phase information (i.e. positive real numbers instead of complex echo samples). Echo samples are acquired every 0.3571 microseconds (2.8 MHz sampling rate). The first sample of an echo is located at a round-trip time corresponding to an altitude of 25 km above the Martian IAU ellipsoid.</p> <p>* orbit_XXXXX_frequency_Y_MHz_geometry.csv, where XXXXX is the orbit number, and Y the frequency at which the radar was operating, in MHz. The file contains an ASCII table of real numbers separated by commas. The table has as many rows as the number of radar echoes acquired during the orbit (usually 3200), and contains the following auxiliary parameters:</p> <p> - EPHEMERIS TIME - Number of seconds elapsed since Jan 1, 2000, 12:00 UTC corresponding to the time at which data collection for the current echo started.</p> <p> - MARS SOLAR LONGITUDE - Angle between the Mars-Sun line at the time corresponding to EPHEMERIS TIME and the Mars-Sun line at the vernal equinox, in degrees.</p> <p> - MARS SUN DISTANCE - Distance from the centre of Mars to centre of the Sun at the time corresponding to EPHEMERIS TIME, in Km.</p> <p> - SPACECRAFT ALTITUDE - Distance from the Mars Express spacecraft to the reference surface of the target body measured normal to the surface at the time corresponding to EPHEMERIS TIME, expressed in Km.</p> <p> - SUB-SPACECRAFT LONGITUDE - East longitude of the point on the target body that lies closest to the Mars Express spacecraft at the time corresponding to EPHEMERIS TIME, expressed in degrees and in the [ 0 -360 ] range.</p> <p> - SUB-SPACECRAFT LATITUDE - Planetocentric latitude of the point on the target body that lies directly beneath the Mars Express spacecraft at the time corresponding to EPHEMERIS TIME, expressed in degrees.</p> <p> - RADIAL VELOCITY - Radial component of the Mars Express spacecraft velocity vector in the reference frame of the target body at the time corresponding to EPHEMERIS TIME, expressed in Km/s.</p> <p> - TANGENTIAL VELOCITY - Tangential component of the Mars Express spacecraft velocity vector in the reference frame of the target body at the time corresponding to EPHEMERIS TIME, expressed in Km/s.</p> <p> - LOCAL TRUE SOLAR TIME - Angle between the extension of the vector from the Sun to Mars and the projection on Mars' ecliptic plane of a vector from the center of the target body and the point on the target body surface that lies directly beneath the Mars Express spacecraft at the time corresponding to EPHEMERIS TIME, expressed on a 24-hour clock with decimal fractions of the hour.</p> <p>* orbit_XXXXX_frequency_Y_MHz.png, where XXXXX is the orbit number, and Y the frequency at which the radar was operating, in MHz. The file is a visualization of the corresponding radargram, of the spacecraft ground track during the observation, and of surface and subsurface echo power.</p>
Large-scale demolitions in Brussels-Capital Region, 1987-2022
<p>This dataset contains the inventory of large scale demolition projects in Brussels, period 1987-2021. Only demolished buildings of more than 3000m² floorspace are included. The first version of the dataset includes the adress, function before demolition, function of the new building. </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.