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3,264 results for “FAST”
Palmitic Acid Sophorolipid Biosurfactant: From Self-Assembled Fibrillar Network (SAFiN) To Hydrogels with Fast Recovery
<p>Data are zipped using Winrar 5.40 version</p> <p>Folder "Figures": it contains the images of Figure 1 through 6. Images are available as datasets readable with Origin software (any version) or QTplot software.</p> <p>Folder "Figure 4": it contains images corresponding to Figure 4 and Figure S5. Images can be read nd processed with Fiji software. Folder also contains ascii files corresponding to the plots.</p> <p>File "Figures": this is the powerpoint file containing all composed images of the main text and Supporting Information. Plots can be opened with Origin software.</p> <p> </p>
Pervasive mitonuclear coadaptation underlies fast development in interpopulation hybrids of a marine crustacean
<p>Cellular energy production requires coordinated interactions between genetic components from the nuclear and mitochondrial genomes. This coordination results in coadaptation of interacting elements within populations. Interbreeding between divergent gene pools can disrupt coadapted loci and result in hybrid fitness breakdown. While specific incompatible loci have been detected in mutiple eukaryotic taxa, the extent of the nuclear genome that is influenced by mitonuclear coadaptation is not clear in any species. Here, we used F<sub>2</sub> hybrids between two divergent populations of the copepod <em>Tigriopus californicus</em> to examine mitonuclear coadaptation across the nuclear genome. Using developmental rate as a measure of fitness, we fount that fast-developing copepods had higher ATP synthesis capacity than slow developers, suggesting variation in developmental rates is at least partly associated with mitochondrial dysfunction. Using Pool-seq, we detected strong biases for maternal alleles across 7 (of 12) chomosomes in both reciprocal crosses in high-fitness hybrids, while low-fitness hybrids showed shifts towards the paternal population. Comparison with previous results on a different hybrid cross revealed largely different patterns of strong mitonuclear coadaptation associated with developmental rate. Our findings suggest that functional coadaptation between interacting nuclear and mitochondrial components is reflected in strong polygenic effects on this life-history phenotype, and reveal that molecular coadaptation follows independent evolutionary trajectories among isolated populations.</p>
Particle-in-cell Simulation of the Neutrino Fast Flavor Instability
<p>1D_fiducial.tgz contains the input parameters and simulation output data from the fiducial simulation. Each timestamp with output data is stored in a plt* directory.</p> <p>scripts.tgz contains the data reduction and plotting scripts used in the paper. We require yt to read the data with our scripts.</p> <p>inputs.tgz contains input files for each of the simulations in the paper. The test problem inputs (MSW, bipolar, homogeneous FFI, inhomogeneous FFI) are part of the test suite in Emu.</p> <p>Simulations are run using the version of Emu (v1.1) at http://doi.org/10.5281/zenodo.4423166 or https://github.com/AMReX-Astro/Emu.</p>
Data for the paper: An energetic view on the geographical dependence of the fast aerosol radiative effects on precipitation
<p>This is the data presented in "An energetic view on the geographical dependence of the fast aerosol radiative effects on precipitation", Dagan et al 2021 JGR.</p> <p>names of files:</p> <p>*aqua* is for aqua-planet simulations, while *AMIP* is for AMIP simulations. *id* is for the simulations with the idealised aerosol perturbations in AMIP type of simulations. sur* are for surface variables, while d_*zonal* and d_mar* present the devotion zonal and meridional cross-sections as in the paper </p> <p>The names of the variables are as in the paper. </p>
Data from: Fast life history traits promote invasion success in amphibians and reptiles
Competing theoretical models make different predictions on which life history strategies facilitate growth of small populations. While 'fast' strategies allow for rapid increase in population size and limit vulnerability to stochastic events, 'slow' strategies and bet-hedging may reduce variance in vital rates in response to stochasticity. We test these predictions using biological invasions since founder alien populations start small, compiling the largest dataset yet of global herpetological introductions and life history traits. Using state-of-the-art phylogenetic comparative methods, we show that successful invaders have fast traits, such as large and frequent clutches, at both establishment and spread stages. These results, together with recent findings in mammals and plants, support 'fast advantage' models and the importance of high potential population growth rate. Conversely, successful alien birds are bet-hedgers. We propose that transient population dynamics and differences in longevity and behavioural flexibility can help reconcile apparently contrasting results across terrestrial vertebrate classes.
Fast diversification through a mosaic of evolutionary histories characterizes the endemic flora of ancient Neotropical mountains
<p><span><span><span><span><span><span><span><span><span><span><span>Mountains are among the most biodiverse areas on the globe. In young mountain ranges, exceptional plant species-richness is often associated to recent and rapid radiations linked to the mountain uplift itself. In ancient mountains, however, orogeny vastly precedes the evolution of vascular plants, so species-richness has been explained by species accumulation during long periods of low extinction rates. Here we evaluate these assumptions by analyzing plant diversification dynamicsin the<i>campo rupestre</i>, an ecosystem associated to pre-Cambrian mountaintops and highlands of eastern South America, areas where plant species-richness and endemism are among the highest in the world. Analyses of 15 angiosperm clades show that radiations of endemics present fastest rates of diversification during the climatically unstable period of the last 5 million years. However, results from ancestral range estimations using different models disagree on the age of the earliest <i>in situ</i>speciation events and point to a complex floristic assembly. There is a general trend for higher diversification rates associated to these areas, but endemism may also increase or reduce extinction rates, depending on the group. Montane habitats, no matter their geological age, may lead to boosts in speciation rates by accelerating population isolation in archipelago-like systems, circumstances that can also result in higher extinction rates and fast species turnover, misleading age estimates of endemic lineages. </span></span></span></span></span></span></span></span></span></span></span></p>
Data from: Correlated evolution between climate and suites of traits along a fast-slow continuum in the radiation of Protea
Evolutionary radiations are responsible for much of Earth's diversity, yet the causes of these radiations are often elusive. Determining the relative roles of adaptation and geographic isolation in diversification is vital to understanding the causes of any radiation, and whether a radiation may be labeled as 'adaptive' or not. Across many groups of plants, trait-climate relationships suggest that traits are an important indicator of how plants adapt to different climates. In particular, analyses of plant functional traits in global databases suggest that there is an "economics spectrum" along which combinations of functional traits covary along a fast-slow continuum. We examine evolutionary associations among traits and between trait and climate variables on a strongly supported phylogeny in the iconic plant genus Protea to identify correlated evolution of functional traits and the climatic-niches that species occupy. Results indicate that trait diversification in Protea has climate associations along two axes of variation: correlated evolution of plant size with temperature and leaf investment with rainfall. Evidence suggests that traits and climatic-niches evolve in similar ways, although some of these associations are inconsistent with global patterns on a broader phylogenetic scale. When combined with previous experimental work suggesting that trait-climate associations are adaptive in Protea, the results presented here suggest that trait diversification in this radiation is adaptive.
FUX-Sim: An implementation of a fast universal simulation/reconstruction framework for X-ray systems
<p>This dataset contains the input and output data related to the paper "FUX-Sim: An implementation of a fast universal simulation/reconstruction framework for X-ray systems". </p>
Photometric Activity Cycles in fast-rotating stars: Revisiting the reality of stellar activity cycle branches
<p>The provided files comprise the tables and Activity cycle fits presented in our manuscript titled "Photometric Activity Cycles in fast-rotating Stars". The files are denoted as Table 1 (main-sequence stars), Table 2 (RS CVn candidates) and a folder containing activity cycle fits for all main-sequence and RSCVn candidates listed in the aforementioned tables. DOI: <a href="https://doi.org/10.1093/mnras/staf754" target="_blank" rel="noopener">10.1093/mnras/staf754</a> </p>
Data supporting "Local Clustering Decoder: a fast and adaptive hardware decoder for the surface code"
<p>The data consists of a CSV file containing the raw performance data collected from running our decoder on a Xilinx Virtex Ultrascale+ VU19P FPGA. The Stim circuits that were used to create the samples are provided in a ZIP file. Our internal fork of Stim with support for leakage is needed to sample noise from the circuits.</p>
Tracing the evolution of short-period binaries with super-synchronous fast-rotators
<p>Dataset for the triple scenario (see Sec. 5 in Britavskiy et al.)<br><br>*_triple.txt contain zero age main sequence triple configurations compatible with the "triple merger scenario" described in the paper.<br>*.npy are binary version of the corresponding txt for faster loading. <br><br>The txt files where generated with <a href="https://zenodo.org/api/records/10028333/draft/files/ML_stability.py/content">ML_stability.py.</a> <br><a href="https://zenodo.org/api/records/10028333/draft/files/plot_P_unstable.py/content">plot_P_unstable.py</a> generates fig. 10 and <a href="https://zenodo.org/api/records/10028333/draft/files/plot_min_a_in.py/content">lot_min_a_in.py</a> fig. 9, the other python files are libraries of functions called by these.<br><a href="https://zenodo.org/api/records/10028333/draft/files/mlp_model_trip_ghost.pkl/content">mlp_model_trip_ghost.pkl</a> is the dynamical stability classifier from <a href="https://ui.adsabs.harvard.edu/abs/2023MNRAS.525.2388V/abstract">Vynatheya et al. 2023</a> (ghost orbit method), used by <a href="https://zenodo.org/api/records/10028333/draft/files/classify_trip.py/content">classify_trip.py</a> to determine the probability of dynamical stability of a given system.</p>
Data for Ocean biogeochemical fingerprints of fast-sinking tunicate and fish detritus
<p>Model results for the manuscript, "Ocean biogeochemical fingerprints of fast-sinking tunicate and fish detritus", under peer review at <em>Geophysical Research Letters</em>.</p> <p> </p> <p>Model outputs for: <br>1) the GZ-COBALT control simulation, <br>2) the GZ-COBALT simulation with fast-sinking tunicate detritus only, <br>3) the GZ-COBALT simulation with fast-sinking fish ("hp") detritus only, and<br>4) the GZ-COBALT simulation with both fast-sinking tunicate and fish ("hp") detritus.</p> <p> </p> <p>The following files are included for all 4 simulations:</p> <p> </p> <p>Model grid and area fields</p> <ul> <li><em>ocean_annual_static.nc</em></li> <li><em>ocean_static.nc</em></li> </ul> <p>Monthly 100-m integrated fluxes (in Nitrogen unless specified otherwise; a Redfield C:N ratio is used)</p> <ul> <li>Aggregation loss from: <ul> <li>Small and large phytoplankton, large tunicates</li> </ul> </li> <li>Detritus production by: <ul> <li>Small, medium, and large zooplankton, small and large tunicates, higher predators (hp)</li> </ul> </li> <li><em>[expt]_ocean_cobalt_fluxes_int_1988-2007.clim.tar.gz</em></li> </ul> <p>Other monthly 100-m integrated fluxes</p> <ul> <li>Carbon detritus sinking flux past 100-m</li> <li>Integrated primary production</li> <li><em>[expt]_ocean_cobalt_omip_2d.1988-2007.clim.tar.gz</em></li> </ul> <p>Monthly detritus fluxes past 100-m:</p> <ul> <li>Nitrogen detritus sinking flux past 100-m</li> <li><em>[expt]_ocean_cobalt_fdet_100.1988-2007.clim.tar.gz</em></li> </ul> <p>Monthly bottom fluxes:</p> <ul> <li>Nitrogen detritus sinking flux to bottom</li> <li>Nitrogen detritus burial flux</li> <li>Sediment oxic remineralization flux of nitrogen detritus</li> <li><em>[expt]_ocean_cobalt_btm.1988-2007.clim.tar.gz</em></li> </ul> <p>Annual 3-D tracers:</p> <ul> <li>Nitrate</li> <li>Dissolved oxygen</li> <li>Phosphate</li> <li><em>[expt]_ocean_cobalt_omip_tracers_year_z_1988-2007.nc</em></li> </ul> <p>Annual 3-D fluxes:</p> <ul> <li>Carbon detritus sinking flux</li> <li><em>[expt]_ocean_cobalt_omip_rates_year_z_1988-2007.nc</em></li> </ul> <p>Hypoxic volume time series:</p> <ul> <li>Total volume of water below 60 mmol O2</li> <li>Total volume of water below 5 mmol O2</li> <li><em>[expt]_hypoxicVolume.ts.tar.gz</em></li> </ul> <p>Note that files ending in <em>.tar.gz</em> need to be unzipped and extracted first. All data files are in netCDF format.</p> <p> </p> <p>Python codes for reproducing the figures in the manuscript are available on github: <a href="https://github.com/jessluo/gz_COBALT_fastPOC_analysis">https://github.com/jessluo/gz_COBALT_fastPOC_analysis</a></p>
Reproduction package for the paper: "Detection of ultra-fast radio bursts from FRB 20121102A"
<p><br># Reproduction package for the paper "Detection of ultra-fast radio bursts from FRB 20121102A"<br>Authors: Mark P. Snelders, K. Nimmo, J.W.T. Hessels, Z. Bensellam, L.P. Zwaan, P. Chawla, O.S. Ould-Boukattine, F. Kirsten, J.T. Faber and V. Gajjar.<br>arXiv link: https://arxiv.org/abs/2307.02303<br>DOI published article: Nature Astronomy, 19 October 2023, https://doi.org/10.1038/s41550-023-02101-x<br><br>This work has been made possible by an NWO Vici grant (Principal investigator, J.W.T.H.). <br><br>## Raw Data<br><br><strong>- The data are 100% publicly available and are explained in great detail in the following post: http://seti.berkeley.edu:8000/frb-data/</strong><br><strong>- The data are available from the Breakthrough Initiatives Open Data Portal with target name FRB121102: https://breakthroughinitiatives.org/opendatasearch</strong><br><br>In this paper we have re-processed and re-analysed data from the Green Bank Telescope that made use of the Breakthrough Listen digital backend. I will call this the GBT BL data. Below you can find links to multiple papers, GitHub repositories and blogposts that explain the GBT BL data.</p><p>- My paper describing the search and analysis of the ultra-fast radio bursts:<br> * https://ui.adsabs.harvard.edu/abs/2023arXiv230702303S/abstract<br> * https://www.nature.com/articles/s41550-023-02101-x<br>- First detection of the bursts at 8 GHz: https://ui.adsabs.harvard.edu/abs/2018ApJ...863....2G/abstract<br>- More bursts from the same dataset with machine learning detections: https://ui.adsabs.harvard.edu/abs/2018ApJ...866..149Z/abstract<br>- Explaining the Breakthrough Listen project: https://ui.adsabs.harvard.edu/abs/2017AcAau.139...98W/abstract<br>- Explaining the GBT breakthrough listen recorder: https://ui.adsabs.harvard.edu/abs/2018PASP..130d4502M/abstract<br>- Explaining the data formats: https://ui.adsabs.harvard.edu/abs/2019PASP..131l4505L/abstract<br>- Python 2 code to work with the baseband data: https://github.com/greghell/extractor (NOTE THAT IT IS PYTHON 2!!) (I recommend using Python 2.7 if you make use of that repo)<br>- Structure of the baseband data: https://github.com/UCBerkeleySETI/breakthrough/blob/master/doc/RAW-File-Format.md<br>- More information: https://github.com/UCBerkeleySETI/breakthrough/blob/master/GBT/waterfall.md<br>- A version of dspsr, called bl-dspsr, that can work with the GBT BL baseband data: https://github.com/UCBerkeleySETI/bl-dspsr<br><br>## Software<br><br>- The data was processed on multiple machines with various operating systems, which include, but are not limited to, macOS, Ubuntu and centOS.<br>- All the used software is open source, see the section above for more information, and also see the 'software' section in the paper.<br><br>## Figures and Tables</p><p>The files in this Zenodo package should be self-explanatory. E.g. `table_1.tar` contains all the scripts/notebooks/files needed to make table_1, and also contains table 1 itself. <br>The file: 'general_info.tar' is basically a txt file with the same info as provided here and it contains an offline version of the Breakthrough Listen blogpost that that explains the raw data. <br>The file: `helper_functions.tar` is a tarball that contains a Python file with a collection of helper functions that are used in the Jupyter notebooks (and the figures are made in the Jupyter notebooks). It also contains some files that are needed to e.g. remove the instrumental delay from the data.<br> <br>## End-to-End analysis scripts<br>The Python code/Jupyter notebooks in the tarfiles are end-to-end. </p><p>## Intermediate data products </p><p>The file `data_and_data_info.tar` contains two intermediate data products (both several gigabytes in size) and a txt file explaining the files and how they were made. Due to the Zenodo file size limitations I cannot upload everything. Please contact me at snelders@astron.nl or m.p.snelders@uva.nl or via ORCID to request any other files. <br><br><br><br> </p>
USPTO Dataset for: Fast Chemical Reaction Condition Suggestion via Rule-Based Classification and Similarity Search
<p>USPTO database that is analyzed with Rxn-INSIGHT (<a href="https://github.com/mrodobbe/Rxn-INSIGHT">https://github.com/mrodobbe/Rxn-INSIGHT</a>).</p><p>This gzip file contains a very large Pandas DataFrame that can be loaded via pd.read_parquet('uspto_rxn_insight.gzip'). Because of the large size of the data, PyArrow version 13.0 must be used. </p><p>To use parquet in Pandas, install PyArrow and fastparquet using pip:</p><p>pip install pyarrow==13.0<br>pip install fastparquet</p>
Dataset for the paper "The magnetopause deformation indicated by fast cold ion motion"
<p>This dataset is used for the paper "The magnetopause deformation indicated by fast cold ion motion" and contains pubilicly available data of MMS dayside magnetopause crossing events with fast cold ion motion from 2015 to 2021, which includes crossing time and position, solar wind parameters (dynamic pressure, IMF, solar wind speed) and data source, the normals from the model (Shue et al., 1997 and Liu et al., 2015) and observations (Timing and MVA methods), the normal speed of magnetopause (VMP) from Timing method, the component speeds of cold ion along normal and tangential directions, the deflection angle between the observed magnetopause normal and the prediction, and the magnetopause deformation amplitude calculated by integrating cold ion speed (Positive or negative values indicate whether the magnetopause is moving outward or inward) of all 30 crossings in geocentric solar magnetospheric (GSM) coordinates.</p>
Data for "Tensorial properties via the neuroevolution potential framework: Fast simulation of infrared and Raman spectra"
<p>This record contains neuroevolution potential (NEP) and tensor neuroevolution potential (TNEP) models (nep*.txt) for molecular water species, liquid water as well as barium zirconate, along with training data<i> (*</i>.zip). The models were constructed using GPUMD 3.9 (https://gpumd.org/).</p>
Chaos in Inhomogeneous Neutrino Fast Flavor Instability
<p>Data from paper "Chaos in inhomogeneos fast flavor instability".</p> <p>Dense neutrino gases exhibit complex flavor oscillations due to coherent forward scattering among neutrinos. The potentially chaotic nature of these oscillations challenges the prediction of neutrino flavor transformations in simulations. By studying small flavor perturbations in a small region within a NSM and a simplified neutrino distribution, we observe chaotic paths in the flavor state space, making micro-scale neutrino flavor changes unpredictable. However, this chaos has minimal impact on the stability of the domain-averaged neutrino density matrix, indicating that despite exponential errors, domain-averaged quantities remain reliable.</p> <p>For information regarding the data read the "information.txt" files in "nsm.tar.gz" and "fiducial.tar.gz".</p>
Evidence that genetic drift not adaptation drives fast-Z and large-Z effects in Ficedula flycatchers
<p>The sex chromosomes have been hypothesized to play a key role in driving adaptation and speciation across many taxa. The reason for this is thought to be the hemizygosity of the heteromorphic part of sex chromosomes in the heterogametic sex, which exposes recessive mutations to natural and sexual selection. The exposure of recessive beneficial mutations increases their rate of fixation on the sex chromosomes, which results in a faster rate of evolution. In addition, genetic incompatibilities between sex-linked loci are exposed faster in the genomic background of hybrids of divergent lineages, which makes sex chromosomes contribute disproportionately to reproductive isolation. However, in birds, which show a Z/W sex determination system, the role of adaptation vs. genetic drift as the driving force of the faster differentiation of the Z chromosome (<em>fast-Z</em> effect) and the disproportionate role of the Z chromosome in reproductive isolation (<em>large-Z</em> effect) are still debated. Here, we address this debate in the bird genus <em>Ficedula</em> flycatchers based on population-level whole-genome sequencing data of six species. Our analysis provides evidence for both faster lineage sorting and reduced gene flow on the Z chromosome than the autosomes. However, these patterns appear to be driven primarily by the increased role of genetic drift on the Z chromosome, rather than an increased rate of adaptive evolution. Genomic scans of selective sweeps and fixed differences in fact suggest a reduced action of positive selection on the Z-chromosome. Nevertheless, it is possible that the faster lineage sorting of the Z chromosome due to genetic drift may help drive the evolution of genetic incompatibilities between species.</p>
Fast Bayesian inference of phylogenies from multiple continuous characters
<p>Time-scaled phylogenetic trees are an ultimate goal of evolutionary biology and a necessary ingredient in comparative studies. The accumulation of genomic data has resolved the tree of life to a great extent, yet timing evolutionary events remains challenging if not impossible without external information such as fossil ages and morphological characters. Methods for incorporating morphology in tree estimation have lagged behind their molecular counterparts, especially in the case of continuous characters. Despite recent advances, such tools are still direly needed as we approach the limits of what molecules can teach us. Here, we implement a suite of state-of-the-art methods for leveraging continuous morphology in phylogenetics, and by conducting extensive simulation studies we thoroughly validate and explore our methods' properties. While retaining model generality and scalability, we make it possible to estimate absolute and relative divergence times from multiple continuous characters while accounting for uncertainty. We compile and analyze one of the most data-type diverse data sets to date, comprised of contemporaneous and ancient molecular sequences, and discrete and continuous characters from living and extinct Carnivora taxa. We conclude by synthesizing lessons about our method's behavior, and suggest future research venues.</p>
Slow drawdown, fast recovery: Stream macroinvertebrate communities improve quickly after large dam decommissioning
<p>Dam removal is increasingly considered as a river restoration tool for impoundments that harm the environment or have exceeded their lifespan. However, few studies report the ecological consequences of large dam removal. We performed a multiple Before-After/Control-Impact (mBACI) study to investigate the consequences of the decommissioning of a large dam (42 m high) on instream habitat and invertebrate communities in a temperate, forested catchment of northern Spain. Before decommissioning, a lack of fine sediments and high concentrations of manganese and iron occurred below the dam but decreased downstream. Invertebrate taxa richness and diversity were reduced, and pollution-sensitive taxa were missing just below the dam. The drawdown of the reservoir, the first step towards its decommissioning, mobilized stored sediments causing frequent turbidity peaks downstream, which nevertheless, caused no detrimental effects on macroinvertebrate communities. One year after the drawdown, the communities downstream from the dam, as well as those in the newly formed stream in the area formerly impounded by the reservoir, became very similar to those in control reaches, showing a successful restoration project.</p> <p><em>Synthesis and applications: </em>Dam decommissioning helps restore instream habitats and facilitates the recovery of invertebrate communities in a very short time frame if there are nearby sources of potential colonizers. Slow drawdown reduces the transport of the sediments accumulated in the reservoir and their potential downstream impacts, even more if before drawdown the reservoir is kept full for years to promote the retention of sediments in marginal areas that will later be readily colonized by trees.</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.