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986 results for “classic”
Classic Ganesh Low Poly
Source: Objaverse 1.0 / Sketchfab
Dro Classic Snapback
Source: Objaverse 1.0 / Sketchfab
3 Classic Rocks Pack
3 classic rocks pack, feel free to download! Source: Objaverse 1.0 / Sketchfab
Revisiting a classic hybrid zone: movement of the northern flicker hybrid zone in contemporary times
<p><span><span><span><span><span><span><span><span><span><span><span>Natural hybrid zones have provided important insights into the evolutionary process, and their geographic dynamics over time can help to disentangle the underlying biological processes that maintain them. Here, we leverage replicated sampling of an identical transect across the hybrid zone between yellow-shafted and red-shafted flickers in the Great Plains to assess its stability over ~60 years (1955-1957 to 2016-2018). We identify a ~73 km westward shift in the hybrid zone center towards the range of the red-shafted flicker, but find no associated changes in width over our sampling period. In fact, the hybrid zone remains remarkably narrow, suggesting some kind of selective pressure maintains the zone. By comparing to previous work in the same geographic region, it appears likely that the movement in the hybrid zone has occurred in the years since the early 1980s. This recent movement may be related to changes in climate or land management practices that have allowed asymmetric westward movement of yellow-shafted flickers into the Great Plains.</span></span></span></span></span></span></span></span></span></span></span></p>
FIGURE 6 in Comparisons of two cryptic Ampedus species (Coleoptera: Elateridae) by using classical systematics, ecological niche modeling, and DNA barcoding
FIGURE 6. MaxEnt model outputs for Ampedus samedovi. Minimum Training Presence threshold is applied to outputs.
FIGURE 5 in Comparisons of two cryptic Ampedus species (Coleoptera: Elateridae) by using classical systematics, ecological niche modeling, and DNA barcoding
FIGURE 5. MaxEnt model outputs for Ampedus platiai. Minimum Training Presence threshold is applied to outputs.
FIGURE 2 in Comparisons of two cryptic Ampedus species (Coleoptera: Elateridae) by using classical systematics, ecological niche modeling, and DNA barcoding
FIGURE 2. Distributions and collecting localities of Ampedus platiai and Ampedus samedovi. Red: Distribution of only A. platiai in the provinces, Blue: Distribution of only A. samedovi in the provinces, Yellow: Distribution of A. platiai and A. samedovi in the provinces (The map is designed in ArcGis 10.2).
FIGURE 1 in Comparisons of two cryptic Ampedus species (Coleoptera: Elateridae) by using classical systematics, ecological niche modeling, and DNA barcoding
FIGURE 1. Habitus and aedeagi photos of examined species. A–B. Ampedus platiai, C–D. A. samedovi, E–F. A. pomonae (Aedeagi of A. platiai and A. samedovi are redrawn from Kabalak 2010 and aedeagus of A. pomonae is redrawn from Platia 1994.). BML: Basal struts of median lobe, BP: Basal piece, ML: Median Lobe, PDT: Paramere distal tooth, PR: Paramere.
Data for domains without generator for the ICAPS 2021 paper "Automatic Instance Generation for Classical Planning"'
<p>This dataset contains raw data (log files) and parsed data (JSON files) of all planners used in the paper run on planning domains for which there is no generator that could directly be used for the Autoscale training process. This dataset was used to select a subset of tasks as described in the paper, for all Autoscale versions up to this point (Autoscale 21.08 and 21.11). As such, it complements the original Zenodo entry https://zenodo.org/record/4586397.</p> <p>domains-without-generator.zip contains the raw experimental data, distributed over a subdirectory for each experiment. Each of these contain a subdirectory tree structure "runs-*" where each planner run has its own directory. For each run, there are symbolic links to the input PDDL files domain.pddl and problem.pddl (can be resolved by putting the benchmarks directory to the right place), the run log file "run.log" (stdout), possibly also a run error file "run.err" (stderr), the run script "run" used to start the experiment, and a "properties" file that contains data parsed from the log file(s).</p> <p>domains-without-generator-eval.zip contains the parsed data, again distributed over a subdirectory for each experiment. Each contains a "properties" file, which is a JSON file with combined data of all runs of the corresponding experiment. In essence, the properties file is the union over all properties files generated for each individual planner run.</p>
Ptolemy's adaptation of the Helikōn, diagram from Lynch, T.A.C. (forthcoming), 'Music', Oxford Classical Dictionary online.
<p>Ptolemy’s adaptation of the <em>Helikōn, </em>diagram from Lynch, T.A.C. (forthcoming), ‘Music’, Oxford Classical Dictionary online.</p>
Figure data sets for the paper "Non-classical correlations over 1250 modes between telecom photons and 979-nm photons stored 171Yb3+:Y2SiO5"
<p>Processed datasets corresponding to the Figures published in the article.</p>
Scaling theory of wave confinement in classical and quantum periodic systems
<p>Data repository to manuscript 'Scaling theory of wave confinement in classical and quantum periodic systems'. The upload contains the file "README.txt" explaining the content of the upload.</p>
Supplement table for Sparano et al.: Classic and follicular variant of papillary thyroid microcarcinoma: two different phenotypes beyond tumour size. Journal of the Endocrine Society, 2022.
<p>Sparano <em>et al.</em> Supplement to: Classic and follicular variant of papillary thyroid microcarcinoma: two different phenotypes beyond tumour size. <em>Journal of the Endocrine Society</em>, 2022.</p>
Classical models are a better explanation of the Jiuzhang 1.0 Gaussian Boson Sampler than its targeted squeezed light model
<p>This repository contains the data used to obtain the different results of the paper "Classical models are a better explanation of the Jiuzhang 1.0 Gaussian Boson Sampler than its targeted squeezed light model" (https://arxiv.org/abs/2207.10058). This work analyzes the experimental results of the Jiuzhang 1.0 (https://doi.org/10.1126/science.abe8770) and Jiuzhang 2.0 (https://doi.org/10.1103/PhysRevLett.127.180502) experiments by Zhong et al.</p>
Raw data of "Identification of two unannotated miRNAs in classic Hodgkin lymphoma cell lines" article.
<p>This is the dataset with used raw data regarding preparation of the manuscript entitled "Identification of two unannotated miRNAs in classic Hodgkin lymphoma cell lines" (10.1371/journal.pone.0283186).</p>
Data of "Stabilizing classical accelerometers and gyroscopes with a quantum inertial sensor"
Open the record for dataset details and reuse information.
Dataset for time evolution of classical contact process with 100 sites
Open the record for dataset details and reuse information.
Dataset for Dual-Site Recognition in Classic DNA Aptamer
<p>This is a simulation dataset for molecular dynamics studying the dual-site recognition mechanism of a classical DNA aptamer. All data were generated using the simulation engine Gromacs 2021.4 with the Colvars module patched and accelerated with GPU (NVIDIA 3070). In the uploaded compressed file, the "mdp" folder contains the mdp files used during the simulation, as well as the topology files and force field parameters, mainly generated through the CHARMM-GUI program. "1AMP22" represents Site 1/AMP, "1AMP9" represents Site 2/AMP, and "2AMP" represents Sites 1, 2/2AMP models. The suffix "eq" indicates equilibrium simulations, "d" indicates 1-dimensional enhanced sampling simulations using distance as a collective variable, "dphi" indicates 2-dimensional enhanced sampling simulations using distance and flip angle as collective variables, and "co" indicates enhanced sampling simulations with both AMP ligands recognizing simultaneously.</p>
An Experimental Dataset for Analyzing Facial Emotions in Indian Classical Dance
<p>This zip file contains two folders: <strong>DATASET_NAVARASA</strong> and <strong>NAVARASA_AUGMENTED</strong><br>These folders consist of the dataset of facial expressions in Indian classical dance.<br>Indian classical dance encompasses nine distinctive facial expressions, collectively called the <em>Navarasas</em> (nine emotions). These include <em>Shringara</em> (love),<em> Haasya</em> (humour and laughter), <em>Karuna</em> (compassion),<em> Roudra</em> (anger), <em>Veera</em> (heroism), <em>Bhayaanaka</em> (fearful terror), <em>Bheebatsa</em> (disgust), <em>Adbhuta </em>(wonder), and <em>Shanta</em> (peacefulness).<br>The folder <strong>DATASET_NAVARASA</strong> consists of the frames extracted from the performance videos of around 30 performers.<br>The folder <strong>NAVARASA_AUGMENTED </strong>consists of augmented images along with the original frames.</p>
Data underpinning "Classical Chaos in Quantum Computers"
<div> <div> <div> <div> <p>We provide the data used to produce the figures shown in our publication "Classical Chaos in Quantum Computer" and a Jupyter Notebook to reproduce all figures.</p> <h3>Abstract: </h3> <div> <div> <div> <div> <p>The development of quantum computing hardware is facing the challenge that current-day quantum processors, comprising 50-100 qubits, already operate outside the range of quantum simulation on silicon computers. In this paper, we demonstrate that the simulation of classical limits can be a potent diagnostic tool potentially mitigating this problem. As a testbed for our approach, we consider the transmon qubit processor, a computing platform in which the coupling of large numbers of nonlinear quantum oscillators may trigger destabilizing chaotic resonances. We find that classical and quantum simulations lead to similar stability metrics (classical Lyapunov exponents vs. quantum wave function participation ratios) in systems with O(10) transmons. However, the big advantage of classical simulation is that it can be pushed to large systems comprising up to thousands of qubits. We exhibit the utility of this classical toolbox by simulating all current IBM transmon chips, including the recently announced 433-qubit processor of the Osprey generation, as well as future devices with 1,121 qubits (Condor generation). For realistic system parameters, we find a systematic increase of Lyapunov exponents in system size, suggesting that larger layouts require added efforts in information protection.</p> </div> </div> </div> </div> </div> </div> </div> </div>
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.