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1,221 results for “Aggregators”
bio.tools Aggregated Records
<p>This Zenodo record is a third-party aggregation of all records in <a href="https://bio.tools/">bio.tools</a>. Some notes:</p> <ul> <li>This Zenodo record was generated using the code in <a href="https://github.com/cthoyt/biotools-client">https://github.com/cthoyt/biotools-client</a>.</li> <li>bio.tools distributes their data under CC BY 4.0 (see <a href="https://biotools.readthedocs.io/en/latest/license.html">https://biotools.readthedocs.io/en/latest/license.html</a>), so this record follows suit </li> <li>bio.tools does not have a versioning/releasing scheme, therefore this dump uses sequential versioning.</li> </ul> <p>We've requested that bio.tools provides their own first-party dump in <a href="https://github.com/bio-tools/biotoolsRegistry/issues/601">https://github.com/bio-tools/biotoolsRegistry/issues/601</a>. If you find this third-party aggregation useful, please consider informing the bio.tools maintainers by commenting or upvoting this issue.</p>
Transgenic A53T mice have astrocytic a-synuclein aggregates in dopamine and striatal regions
<p>Statistical analysis carried out on astrocyte quantification data derived from 6 month transgenic A53T PD mice. </p>
Mechanical Properties, Workability, and Experiments of Reinforced Composite Beams with Alternative Binder and Aggregate
<p><span>Arguably the most important element in the sustainability of concrete development is the discovery of an optimal sustainable binder and substitution for the increasingly depleted reserves of natural aggregates. Considerable interest has been shown in alkali-activated materials, which possess good characteristics and could be considered environmentally friendly because of their use of secondary materials in production. The aim of this study was the determination of the mechanical properties of three different mixtures based on the same locally accessible raw materials. The reference mixture contained Portland cement, the second mix contained a finely ground granulated blast furnace slag instead of cement, and the third mixture contained a portion of light artificial aggregate. The experiments focused on the testing and mutual comparison of the processability of the fresh mixture and mechanical characteristics (like compressive and flexural strength, as well as resistance to high temperatures and surface layer tear strength tests). Reinforced concrete beams without shear reinforcement and with three levels of reinforcement were also tested with a three-point bend test. The results show that, overall, the mechanical properties of all the tested mixtures were similar, but each had its own disadvantages. For example, the blast furnace slag-based mixture had a more vulnerable surface layer or a debatable loss of bulk density in the light aggregate mix at the expense of the mechanical properties. One of the main results of the research is that it was possible to technologically produce beams from the alkali-activated concrete (AAC) mixture. Then, the performed beam experiments verified the mechanism of damage, collapse, and load capacity. The obtained results are essential because they present the use of AAC not only in laboratory conditions but also for building elements. In beams without shear reinforcement, the typical tensile cracks caused by bending and shear cracks appeared under loading, where their character was affected depending on the degree of beam reinforcement and loading.</span></p>
SUMMER-MUSTARD (Summer season Multi-cross Urban Signalized Traffic Aggregated Region Dataset)
<p>Dataset release for ECML-PKDD 2021 paper</p> <p><em>OBELISC: Oscillator-Based Modelling and Control using Efficient Neural Learning for Road Traffic Signal Offset Calculation</em></p> <p><em>Cristian Axenie, Daniele Foroni, Alexander Wieder, Mohamad Al Hajj Hassan, Paolo Sottovia, Margherita Grossi, Rongye Shi, Stefano Bortoli, Götz Brasche</em></p> <p>SUMMER-MUSTARD (Summer season Multi-cross Urban Signalized Traffic Aggregated Region Dataset) real-world dataset, contains 59 days of real urban road traffic data from 8 crosses in a city in China.<br> </p>
Image 1 in First report on mass aggregation of opiliones in China
Image 1. Mass aggregation of the harvestman Pseudogagrella sp. during dry winter months
Figure 23 in Phylogenetic analysis of the Niphargus orcinus species- aggregate (Crustacea: Amphipoda: Niphargidae) with description of new taxa
Figure 23. Niphargus polymorphus sp. n., holotype. Pereopods V–VII. Details of pereopod VII.
Figure 21 in Phylogenetic analysis of the Niphargus orcinus species- aggregate (Crustacea: Amphipoda: Niphargidae) with description of new taxa
Figure 21. Niphargus polymorphus sp. n., holotype. Gnathopod I (above) and gnathopod II (below).
Figure 20 in Phylogenetic analysis of the Niphargus orcinus species- aggregate (Crustacea: Amphipoda: Niphargidae) with description of new taxa
Figure 20. Niphargus polymorphus sp. n., holotype. Mouthparts.
Figure 19 in Phylogenetic analysis of the Niphargus orcinus species- aggregate (Crustacea: Amphipoda: Niphargidae) with description of new taxa
Figure 19. Niphargus lourensis sp. n., holotype. Pereopods V–VII. Details of pereopod VII.
Figure 17 in Phylogenetic analysis of the Niphargus orcinus species- aggregate (Crustacea: Amphipoda: Niphargidae) with description of new taxa
Figure 17. Niphargus lourensis sp. n., holotype. Gnathopod I (above) and gnathopod II (below).
Figure 16 in Phylogenetic analysis of the Niphargus orcinus species- aggregate (Crustacea: Amphipoda: Niphargidae) with description of new taxa
Figure 16. Niphargus lourensis sp. n., holotype. Mouthparts.
Figure 15 in Phylogenetic analysis of the Niphargus orcinus species- aggregate (Crustacea: Amphipoda: Niphargidae) with description of new taxa
Figure 15. Niphargus dabarensis sp. n., holotype. Pereopods V–VII. Details of pereopod VII.
Figure 13 in Phylogenetic analysis of the Niphargus orcinus species- aggregate (Crustacea: Amphipoda: Niphargidae) with description of new taxa
Figure 13. Niphargus dabarensis sp. n., holotype. Gnathopod I (above) and gnathopod II (below).
Figure 12 in Phylogenetic analysis of the Niphargus orcinus species- aggregate (Crustacea: Amphipoda: Niphargidae) with description of new taxa
Figure 12. Niphargus dabarensis sp. n., holotype. Mouthparts.
Figure 6. N in Phylogenetic analysis of the Niphargus orcinus species- aggregate (Crustacea: Amphipoda: Niphargidae) with description of new taxa
Figure 6. N. dolichopus sp. n. (above) and N. dabarensis sp. n. (below). Holotypes, lateral view.
Figure 9. N in Phylogenetic analysis of the Niphargus orcinus species- aggregate (Crustacea: Amphipoda: Niphargidae) with description of new taxa
Figure 9. N. dolichopus sp. n., holotype. Gnathopod I (above) and gnathopod II (below).
Figure 8. N in Phylogenetic analysis of the Niphargus orcinus species- aggregate (Crustacea: Amphipoda: Niphargidae) with description of new taxa
Figure 8. N. dolichopus sp. n., holotype. Mouthparts.
Figure 7. N in Phylogenetic analysis of the Niphargus orcinus species- aggregate (Crustacea: Amphipoda: Niphargidae) with description of new taxa
Figure 7. N. lourensis sp. n. (above) and N. polymorphus sp. n. (below). Holotypes, lateral view.
Circling in on Convective Self-Aggregation
<p>"Circling in on Convective Self-Aggregation" published in Journal of Geophysical Research: Atmospheres (2021).</p> <p>by Silas Boye Nissen and Jan O. Haerter.</p> <p>Available online: <a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JD035331">https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JD035331</a>.</p> <p>###################################################################################</p> <p>This repository includes MATLAB scripts and RCE data to reproduce the figures in the article.</p> <p>The Circle model folder includes the mathematical model in a general easy-to-use version.</p> <p>The Data RCE folder includes each of the eight simulations in the article (only on Zenodo).</p> <p>The rest of the folders include the original files that can be used to reproduce the figures.</p> <p>For questions, please contact <a href="mailto:silas@nbi.ku.dk">silas@nbi.ku.dk</a>.</p>
Data for "Unsupervised learning of sequence-specific aggregation behavior for a model copolymer"
<p>These are the data associated with the paper, "Unsupervised learning of sequence-specific aggregation behavior for a model copolymer" (DOI 10.1039/D1SM01012C). Each of the directories contains subdirectories with `GSD` files dumped from HOOMD. Each subdirectory roughly corresponds to one or two of the figures in the paper.</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.