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1,454 results for “large scale”
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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Diagnosing nonlocal effects and coherent structure scales in moist convection using a large-eddy simulation
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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>
Dataset for article "Optimal Floquet State Engineering for Large Scale Atom Interferometers"
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DATA for Evaluating Scale-Aware Boundary Layer Similarity Functions and Their Mechanisms in Tropical Cyclone Modeling Using Idealized Large-Eddy Simulations
<p>data.xlsx has the data to make Figs.1-4</p> <p> </p>
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.
Figure 5 from: Bourassa S, Spence J, Hartley D, Lee S (2011) Wing-dimorphism and population expansion of Pterostichus melanarius (Illiger, 1798) at small and large scales in central Alberta, Canada (Coleoptera, Carabidae, Pterostichini). ZooKeys 147: 545-558. https://doi.org/10.3897/zookeys.147.2097
Figure 5 - Figure 5. Distributions of Pterostichus melanarius pitfall trapped at George Lake, starting in the road verge and extending 950 m into the forest for three sampling periods: 1991-92, 1997 and 2007-08 (see text for details). (a) Activity density standardized by the number of traps and number of days traps were in operation. In 2007 and 2008, activity density was adjusted for shorter sampling period as explained in the text. (b) Percentage of Pterostichus melanarius that was macropterous. Captures from some transects are pooled for presentation.
Figure 1 from: Bourassa S, Spence J, Hartley D, Lee S (2011) Wing-dimorphism and population expansion of Pterostichus melanarius (Illiger, 1798) at small and large scales in central Alberta, Canada (Coleoptera, Carabidae, Pterostichini). ZooKeys 147: 545-558. https://doi.org/10.3897/zookeys.147.2097
Figure 1 - Figure 1. Percent LW individuals found in Pterostichus melanarius (a non-native species) and Agonum retractum (a native North American carabid) along an urban-rural gradient. Each bar represents the mean of 4 sites ± 1 S.E.
Figure 4 from: Bourassa S, Spence J, Hartley D, Lee S (2011) Wing-dimorphism and population expansion of Pterostichus melanarius (Illiger, 1798) at small and large scales in central Alberta, Canada (Coleoptera, Carabidae, Pterostichini). ZooKeys 147: 545-558. https://doi.org/10.3897/zookeys.147.2097
Figure 4 - Figure 4. Mean activity density of all native carabid species along the urban-rural gradient (1998- 1999). Activity density is expressed as standardized whole-season catch (see text for details). Means exclude 2 rural sites that were not sampled in 1999 and are therefore an average of 2 sites. There were no statistically significant differences among activity in these three zones (ANOVA, p > 0.05). Error bars show standard error.
Figure 3 from: Bourassa S, Spence J, Hartley D, Lee S (2011) Wing-dimorphism and population expansion of Pterostichus melanarius (Illiger, 1798) at small and large scales in central Alberta, Canada (Coleoptera, Carabidae, Pterostichini). ZooKeys 147: 545-558. https://doi.org/10.3897/zookeys.147.2097
Figure 3 - Figure 3. Representation of four introduced carabid species in the carabid fauna along the urban-rural gradient (1998-99).
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.