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1,774 results for “accelerators”
Radiative acceleration calculation methods and abundance anomalies in Am stars
<p>This archive contains stellar structures used to create the figures of surface abundance evolution with time of the paper entitled "Radiative acceleration calculation methods and abundance anomalies in Am stars" to be published in Astronomy & Astrophysics.</p> <p>The first directory level refers to the dataset used to compute the Rosseland mean opacities (OP = Opacity Project for instance), the second to the stellar mass (in solar mass unit), and the third to the g_rad calculation method and the prescriptions used for macroscopic transport processes (e.g. SVP2004_RMT for g_rad computed with the 2004 version of the SVP approximation and the RMT turbulence model).</p> <p>In each of these directories, the stellar structure file name contains the age (e.g. "structure.00215.78.gz" for an age of 215.78 Myr). </p> <p>The first line of each stellar structure file shows the meaning of each field. The columns are separated with tabulations to allow easy an importation in spreadsheets. All quantities are expressed in cgs units, the abundances in mass fractions.</p>
Dataset for "Accelerated internal tides in a warming climate"
<p>Supporting files for plotting figures in the paper "Accelerated internal tides in a warming climate".</p>
Data and codes in support of "Accelerating Green Shipping by Spatially Optimized Offshore Charging Stations"
<p>Data and codes in support of "Accelerating Green Shipping by Spatially Optimized Offshore Charging Stations", including data, codes and figures.</p>
Accelerated landing in a stingless bee and its unexpected benefits for traffic congestion
<p>To land, flying animals must simultaneously reduce speed and control their path to the target. While the control of approach speed has been studied in many different animals, little is known about the effect of target size on landing, particularly for small targets that require precise trajectory control. To begin to explore this, we recorded the stingless bee <i>Scaptotrigona depilis</i> landing on their natural hive entrance – a narrow wax tube built by the bees themselves. Rather than decelerating before touchdown as most animals do,<i> S. depilis</i> accelerates in preparation for its high precision landings on the narrow tube of wax. A simulation of traffic at the hive suggests that this counterintuitive landing strategy could confer a collective advantage to the colony by minimising the risk of mid-air collisions and thus of traffic congestion. If the simulated size of the hive entrance increases and if traffic intensity decreases relative to the measured real-world values, 'accelerated landing' ceases to provide a clear benefit, suggesting that it is only a useful strategy when target cross-section is small and landing traffic is high. We discuss this strategy in the context of<i> S. depilis'</i> ecology and propose that it is an adaptive behaviour that benefits foraging and nest defence.</p>
Large SAT Benchmark Suite for Certified SAT Solving with GPU Accelerated Inprocessing
<p>This submission includes the SAT benchmark dataset for "Certified SAT Solving with GPU Accelerated Inprocessing" article. The dataset is intended to evaluate the performance of ParaFROST GPU solver and to compare with the state of the art.</p>
ParaFROST Proofs for Certified SAT Solving with GPU Accelerated Inprocessing
<p>This submission includes all the proofs of ParaFROST GPU SAT solver for the "Certified SAT Solving with GPU Accelerated Inprocessing" article.</p>
Data From: Phylogenomics reveals accelerated late Cretaceous diversification of bee flies (Diptera: Bombyliidae)
<p><span>Bombyliidae is a very species-rich and widespread family of parasitoid flies with more than 250 genera classified into 17 extant subfamilies. However, little is known about their evolutionary history or how their present-day diversity was shaped. Transcriptomes of 15 species and anchored hybrid enrichment (AHE) sequence captures of 86 species, representing 94 bee fly species and 14 subfamilies, were used to reconstruct the phylogeny of Bombyliidae. We integrated data from transcriptomes across each of the main lineages in our AHE tree to build a data set with more genes (550 loci versus 216 loci) and higher support levels. Our overall results show strong congruence with the current classification of the family, with 11 out of 14 included subfamilies recovered as monophyletic. Heterotropinae and Mythicomyiinae are successive sister groups to the remainder of the family. We examined the evolution of key morphological characters through our phylogenetic hypotheses and show that neither the "sand chamber subfamilies" nor the "Tomophthalmae" are monophyletic in our phylogenomic analyses. Based on our results, we reinstate two tribes at the subfamily level (Phthiriinae stat. rev. and Ecliminae stat. rev.) and we include the genus <em>Sericosoma</em> Macquart (previously <em>incertae sedis</em>) in the subfamily Oniromyiinae, bringing the total number of bee fly subfamilies to 19. Our dating analyses indicate a Jurassic origin of the family (165–194 Ma), with the sand chamber evolving early in bee fly evolution, in the late Jurassic or mid-Cretaceous (100–165 Ma). We hypothesize that the angiosperm radiation and the hothouse climate established during the late Cretaceous accelerated the diversification of bee flies, by providing an expanded range of resources for the parasitoid larvae and nectarivorous adults.</span></p>
Figure 2 in Stability and acceleration of phenotypic evolution in spiny rats (Trinomys, Echimyidae) across different environments
Figure 2. Time-calibrated BI tree of Trinomys based on eight genes. Horizontal bars across nodes represent 95% highest posterior density (HPD) of divergence-time estimates. Letters above nodes correspond to the nodes described in Table 2. Horizontal bar at bottom represents time scale in million years ago (Mya).
Figure 1 in Stability and acceleration of phenotypic evolution in spiny rats (Trinomys, Echimyidae) across different environments
Figure 1. Skull of Trinomys. Dorsal (top), ventral (center) and lateral (bottom) views illustrating the 18 linear measurements used in the present study. GSL, greatest skull length; LN, length of nasals; LR, length of rostrum; IOC, least interorbital constriction; WZ, width of zygomatic arches; WM, width of mastoids; BAL, basilar length; LIF, length of incisive foramen; D, length of diastema; PLA, palatal length A; PLB, palatal length B; LMS, length of molar series; PPL, post-palatal length; LBu, length of auditory bulla; HB, height of braincase; WMax, width of maxillary; WR, width of rostrum; DR, depth of rostrum. Figure modified from Nicola et al. (2003).
Figure 4 in Stability and acceleration of phenotypic evolution in spiny rats (Trinomys, Echimyidae) across different environments
Figure 4. Mean estimates of pairwise rates of phenotypic change (J) along the size axis (A) and multivariate axes PC1 (B), PC2 (C) and PC3 (D), and mean estimates of pairwise rates of general phenotypic change (J0) based in Mahalanobis distances (E). Columns represent mean estimates and error bars 95% confidence intervals. AF X AF, estimates between Atlantic Forest species; AF X y, estimates between Atlantic Forest species and T. yonenagae; AF X a, estimates between Atlantic Forest species and T. albispinus.
Figure 3 in Stability and acceleration of phenotypic evolution in spiny rats (Trinomys, Echimyidae) across different environments
Figure 3. Scores of individuals of Trinomys plotted in morphospaces formed by the size axis vs. PC1 (A), PC2 vs. PC3 (B) and CV1 vs. CV2 (C). Trinomys eliasi, T. albispinus and T. yonenagae are enclosed in convex grey polygons.
Long-read genome sequencing accelerated the cloning of Pm69 by resolving the complexity of a rapidly evolving resistance gene cluster in wheat
<p>Oxford Nanopore assembly of <em>Triticum turgidum</em> ssp. <em>dicoccoides, </em>cv. G305-3M.</p>
Raw data for: Cell-free biosynthesis combined with deep learning accelerates de novo-development of antimicrobial peptides
<p>This repository contains data related to "Cell-free biosynthesis combined with deep learning accelerates de novo-development of antimicrobial peptides" by Pandi et al.</p> <p>Included are molecular dynamics parameter files, initial structures after system equilibration and production trajectories. For simulations of AMPs with membranes, trajectories are subsampled with 1 frame every 5 ns and final structures after 1 μs of production simulation are included.</p> <p>Contact information:<br> Name: Stefan L. Schaefer<br> Institution: Department of Theoretical Biophysics, Max Planck Institute of Biophysics<br> Address: Max-von-Laue-Str. 3, 60438 Frankfurt am Main, Germany<br> Email: stefan.schaefer@biophys.mpg.de</p>
Code and dataset for publication "Laser Wakefield Accelerator modelling with Variational Neural Networks"
<p>Data and code for reproducing figures in published work.</p> <p> </p> <p>High Power Laser Science and Engineering</p> <p><a href="https://doi.org/10.1017/hpl.2022.47">https://doi.org/10.1017/hpl.2022.47</a></p> <p>Code used various python packages including tensorflow.</p> <p>Conda environment was created with (on 6th Jan 2022)<br> conda create --name tf tensorflow notebook tensorflow-probability pandas tqdm scikit-learn matplotlib seaborn protobuf opencv scipy scikit-image scikit-optimize Pillow PyAbel libclang flatbuffers gast --channel conda-forge</p>
Likely accelerated weakening of AMOC emerges in optimal fingerprint
<p>POP2 source data and NCL scripts for main figures.</p>
Precise dynamical masses of new directly imaged companions from combining relative astrometry, radial velocities, and HIPPARCOS-Gaia eDR3 accelerations
<p>The VLT/SPHERE reduced images using the Geneva reduction pipeline, GRAPHIC, used to obtain the astrometry and photometry as published in Rickman et al. 2022. Each .fits file has been cosmetically corrected (i.e. bad pixels), background-subtracted, and flat-fielded. These files correspond to the 'flux frames' of the imaging observing sequence that was used to calculate the astrometry and photometry for each companion. The raw data are also available on the ESO archive with the relevant program numbers as listed in Rickman et al. 2022.</p>
Convolution, aggregation and attention based deep neural networks for accelerating simulations in mechanics [Dataset]
<p>Supplementary data for 'Convolution, aggregation and attention based deep neural networks for accelerating simulations in mechanics'. </p>
Multiple co-occurring bioeconomic drivers of overexploitation can accelerate rare species extinction risk
<p>1. The unsustainable harvest of species for the global wildlife trade is a major cause of vertebrate extinction. Through the Anthropogenic Allee Effect, overexploitation to extinction can occur when a species' rarity drives up its market price, enabling profitable harvest of all remaining individuals. Even in the absence of rarity value, however, the harvest of other species can subsidize the overexploitation of a rare species to the point of extinction, a phenomenon termed opportunistic exploitation. These two pathways to extinction have only been considered independently, but many traded species experience them simultaneously.</p> <p>2. In this study, we develop a simple model that incorporates these mechanisms simultaneously and demonstrate that including multiple harvest strategies with market-based feedbacks fundamentally alters rare species extinction risk and the rate at which overexploitation occurs. As a pertinent case study, we consider the harvest of ground pangolins (<em>Smutsia</em> <em>temminckii</em>).</p> <p>3. Our results show that pangolin extinction was generally associated with high rarity value, the use of multiple harvest strategies, and the simultaneous harvest of a common species that has a fast life-history. Pangolin population depletion and short-term extinction risk were greatest when harvesters used a combination of pursuit and opportunistic (i.e. multi-species) harvest strategies.</p> <p>4. Policy implications. Our results suggest that feedbacks between multiple financial incentives to overharvest can exacerbate the risk of extinction of rare species. As a result, continuing to address AAE and opportunistic exploitation as separate extinction pathways may insufficiently capture extinction risk for many exploited species. Criteria for assessing extinction risk or harvest sustainability of exploited species should incorporate multiple drivers of harvest pressure, with an expanded focus on including species with high rarity value that are exploited in multi-species harvest regimes.</p>
Exothermal data from thermal safety assessment of type 21700 lithium-ion batteries with NMC, NCA and LFP cathodes by means of Accelerating Rate Calorimetry (ARC)
<p>Data of safety investigation and thermal abuse behavior of commercial type 21700 LIB cells is provided.</p> <p>It has been acquired with Accelerating Rate Calorimetry (ARC), using a Thermal Hazard Technology type ES ARC.</p> <p>Moreover, thermal abuse was done by means of the so-called Heat-Wait-Seek (HWS) test, at different states of charge (SOC) from 0 to 100.</p> <p>Different cathode chemistries are compared (NMC, NCA and LFP), as well as for NCA chemistry, the high energy (HE) and high power (HP) cell design.</p> <p>For each cell, data includes the exothermal behavior of the cells, which is recorded only when the cell is behaving exothermally in the ARC, above a threshold of 0.02 °C / min.</p> <p>Hence, in the files, time in minutes, temperature on the surface at the center of the cell in °C and the registered temperature rate in °C / min is provided. Cathode chemistry, as well as SOC, is indicated in the file name, each set of parameters has been tested at least twice with another cell, which is indicated with M and consecutive numbering of the test number.</p> <p>This data is supporting this article in the journal Batteries:</p> <p><a href="https://doi.org/10.3390/batteries9050237">https://doi.org/10.3390/batteries9050237</a></p> <p>Additional supporting material to this article are the maximum temperatures for thermal abuse, that are published here:</p> <p><a href="https://doi.org/10.5281/zenodo.7867730">https://doi.org/10.5281/zenodo.7867730</a></p> <p> </p> <p> </p>
Future climate change accelerates the invasive rhythm of alien marine species: new insights into the invasive potential of the world's aquaculture species red drum Sciaenops ocellatus
<p>This article accompanies the article "<strong>Integrating species distribution modeling, stable isotope and transcriptomic analysis provides insights into eco-position competition for alien red drum <em>Sciaenops ocellatus</em></strong>". The file contains supplementary material to the article.</p>
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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.