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4,107 results for “pointing”
QAVA-DPC: Eye-Tracking Based Quality Assessment and Visual Attention Dataset for Dynamic Point Cloud in 6 DoF
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An Improved QEM Algorithm Based on Salient Feature Sampling Points
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Research data supporting article on "Point containment algorithms for constructive solid geometry with unbounded primitives"
<p>This file contains an archive of all research data that supports the article on "Point containment algorithms for constructive solid geometry with unbounded primitives".</p>
SPARCS_WP4_Leipzig_City_Number of EV charging points
<p>Number of EV charging points in the city of Leipzig with annually captured data for the period between 2019 and 2024</p>
On the Piezomagnetism of Magnetoactive Elastomeric Cylinders in Uniform Magnetic Fields: Height Modulation in the Vicinity of an Operating Point by Time-Harmonic Fields
<p>This is the data set for all the figures in the paper with the title: "On the Piezomagnetism of Magnetoactive Elastomeric Cylinders in Uniform Magnetic Fields: Height Modulation in the Vicinity of an Operating Point by Time-Harmonic Fields" published in the Polymers journal (<a title="doi" href="https://doi.org/10.3390/polym16192706">doi:10.3390/polym16192706</a>).</p>
FIGURE 7. Variability range for the chosen quantitative characters. Points indicate a median value, boxes represent 5 and 95 in A revision of taxonomic relation between Oenothera royfraseri and O. turoviensis (sect. Oenothera, subsect. Oenothera; Onagraceae) based on multivariate analyses of morphological characters
FIGURE 7. Variability range for the chosen quantitative characters. Points indicate a median value, boxes represent 5 and 95 percentile, whiskers around the boxes refer to 1 and 99 percentile; B – O. biennis, P – O. perangusta, R – O. royfraseri (including the specimens labelled as O. turoviensis, except the original material of the latter), T – O. turoviensis (the original material only).
Harnessing coupled nanolasers near exceptional points for directional emission - Figures Data
<p>Each figure's generative Matlab script is placed in a separate folder, along with the associated data.</p>
Deep learning for the occurrence of tipping points: training data
<p>This data accompanies the manuscript by Chengzuo Zhuge et al. “Deep learning for the occurrence of tipping points” and the Github repository <a href="https://github.com/zhugchzo/dl_occurrence_tipping">https://github.com/zhugchzo/dl_occurrence_tipping</a>. It contains the model time series data that are used to train the deep learning algorithm. The directory <br>increased_bifurcation contains 150k time series (50k Fold, Hopf, Transcritical respectively) with parameter increasing and the directory decreased_bifurcation contains 150k time series (50k Fold, Hopf, Transcritical respectively) with parameter decreasing. The directory pitchfork contains 100k time series (50k supercritical and subcritical pitchfork respectively) with parameter increasing. Both directories contain files labels.csv and groups.csv which provide numbers corresponding to the labels (The tipping points) and groups (Training, Validation, Test) for each time series respectively.</p>
For "Exceptional points induced by unidirectional coupling in electronic circuits" on Nature Communications
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MeV Ion beam analysis of granite in 10000 points
<p><span>The dataset presents 10000 ion-beam-analysis (IBA) measurements of a granite using 2970+-20 keV protons. Figure 1 shows an example of the result. 10,000 points are acquired in a regular 100x100 point grid with 50 µm beam spot size and step-size. Four detectors acquire the data simultaneously for RBS, NRA, PIGE, and PIXE. The description of the end-station and detectors can be found here: </span><span><a href="https://doi.org/10.3390/instruments5010010"><span>https://doi.org/10.3390/instruments5010010</span></a></span><span>. </span></p> <p><span>Each point on the sample consists of 4 files, four detector spectra. The filename consists of the sample name, three positions in units of nm (X, Y, Z), a rotation in units of µ° followed by an underscore ( _ ) and the type of data contained in the file (RBS, NRA, PIXE, PIGE, or Meta). Only X and Z positions are relevant in this case as indicated in the attached figure.</span></p> <p><span>The RBS, NRA, and PIGE detector files contain a header specifying the dead- and live-time followed by two columns. The first column represents the digital channel of the detector. The second column represents the counts acquired in this channel. This format is readable as ASCI by SimNRA7. The PIXE file contains the number of channels in the first row/header and only the counts in the subsequent rows. The channel is given by the row number. This format is readable by GUPIXWIN3.</span></p> <p><span>The channels of the detector files can be re-calculated using a calibration shown in the following table 1. Certain drifts in the calibrations are possible, but should be limited to below 2% of the given value. All points are integrated to the same ion dose of 0.07 µC. This corresponds to a Particle*Sr of about 5.0E+09 (RBS detector), 5.4E+10 (NRA).</span></p> <p><span>RBS Spectra can be empty or feature a strong low energy background due to excessive scintillation light. Empty spectra can be ignored. The background can be mitigated by ignoring channels <150.</span></p> <p> </p> <p><span>Table </span><span><span>1</span></span><span>: Detector calbration enabling a recalculation of channels to energy. Units are in keV</span></p> <table> <tbody> <tr> <td> <p><span>Detector</span></p> </td> <td> <p><span>Linear (multiply with channel)</span></p> </td> <td> <p><span>Offset (add to first result)</span></p> </td> </tr> <tr> <td> <p><span>RBS</span></p> </td> <td> <p><span>2.77</span></p> </td> <td> <p><span>10</span></p> </td> </tr> <tr> <td> <p><span>NRA</span></p> </td> <td> <p><span>5.5</span></p> </td> <td> <p><span>10</span></p> </td> </tr> <tr> <td> <p><span>PIXE</span></p> </td> <td> <p><span>0.184</span></p> </td> <td> <p><span>1.5</span></p> </td> </tr> <tr> <td> <p><span>PIGE</span></p> </td> <td> <p><span>0.85</span></p> </td> <td> <p><span>0</span></p> </td> </tr> </tbody> </table>
Lattice polygons with at most 70 lattice points
<p>This record contains</p> <ul> <li>All lattice polygons with at most 70 lattice points,</li> <li>All interior lattice polygons with at most 112 lattice points,</li> </ul> <p>where a lattice polygon is called interior if it is the convex hull of interior lattice points of another lattice polygon. The algorithm to classify lattice polygons by lattice points is due to Koelman, see section 4.4 of his dissertation (reference below). His original classification was up to 42 lattice points, but his data was not publicily available. We have implemented his algorithm in <a href="https://github.com/justus-springer/RationalPolygons.jl">RationalPolygons.jl</a>, recreating and extending his classification.</p> <h3>Structure of the HDF5 files</h3> <p>The two archives "koelman70.tgz" and "koelman_interiors112.tgz" contain files l3.h5, l4.h5, etc... storing the polygons with given number of lattice points in the <a href="https://www.hdfgroup.org/solutions/hdf5/">HDF5</a> file format. In the HDF5 files, the polygons are split into different datasets according to their number of vertices, which we denote by "n". There is one dataset for every number of vertices. For example, the lattice polygons with 6 vertices having 50 lattice points are located in "l50.h5" under the dataset "n6". Each dataset of polygons is one-dimensional with one entry per polygon. A polygon is stored using a compound datatype with \(2 \cdot n\) fields of integers, which are the vertices of the polygon. For example, a triangle with vertices \((x_1,y_1), (x_2,y_2)\) and \((x_3,y_3)\) is stored as the tuple \((x_1,y_1,x_2,y_2,x_3,y_3)\). Moreover, each file contains the special one-dimensional dataset "numbers_of_polygons" that stores the numbers of polygons for given number of vertices.</p>
Ancillary files for "Graded transcendental functions: an application to four-point amplitudes with one off-shell leg"
<p>We provide ancillary files to "Graded transcendental functions: an application to four-point amplitudes with one off-shell leg".</p> <p>All attached files are in Mathematica format. See also appendix C of the manuscript for details on the ancillary files. </p> <ul> <li><strong>Families.zip: </strong><br>For each integral family, we provide in a single file <em>familyname.m</em> the list of propagators, a canonical basis and the corresponding differential equations, and a regularised boundary vector at the point (x, y) = (0, 0). <br>Files contain a list of Mathematica replacement rules in the format {prop["familyname"]-> {...}, basis["familyname"]-> {...}, boundaries["familyname"]-> {....}, DE["familyname"]-> {...}}. </li> <li><strong>BoundariesDemo.zip</strong>: An executable notebook implementing the fixing of boundary constants using the method for a two-loop example.</li> <li><strong>TridentFunctions.zip</strong>: For each relevant canonical integral and kinematic crossing listed in <em>basis_labels.m</em>, we provide a map to the trident functions in the form of a sparse rational array of size 13812 × 1282 in <em>mapping_positions.m</em> and <em>mapping_values.m</em>. We also provide the UT Laurent expansions of the trident functions in terms of 42258 iterated integrals and transcendental constants in <em>sb_labels.m</em>, again as a sparse array in <em>expansion_positions.m</em> and <em>expansion_values.m</em>.</li> <li><strong>FormFactor.zip</strong>: We provide the three-loop finite remainders R(3) and E(3) of the N = 4 sYM form factor in terms of Chen iterated integrals and MPLs.</li> <li><strong>Hjet.zip</strong>: The three independent helicity coefficients for the decay of a H boson to three partons at three loops are given in terms of iterated integrals and in a manifestly real MPL representation. In particular, we provide the part of the finite remainders containing new letters, with rational coefficients evaluated at x = 3/13, y = 11/17. </li> </ul>
Research data supporting: "Extended sampling of macromolecular conformations from uniformly distributed points on multidimensional normal mode hyperspheres"
<p>This repository contains protein structures generated by the approach "distributed points Molecular Dynamics using Normal Modes" (dpMDNM). dpMDNM is an enhanced-sampling approach that allows large protein conformational sampling based on normal mode (NM) vector combinations.</p> <p>Input parameter and equilibrated files for Lysozyme and CYP3A4 are provided, including their respective ensemble of structures after conformational exploration combining from 2 to 8 NMs.</p> <p>For more information, please visit the <a href="https://github.com/antonielgomes/dpMDNM">dpMDNM GitHub repository</a>.</p>
Point Absorber Detection in LIGO Test Masses with YOLO
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Data from: Archaeogenomic evidence from the southwestern US points to a pre-Hispanic scarlet macaw breeding colony
Hundreds of scarlet macaw (Ara macao cyanoptera) skeletons have been recovered from archaeological contexts in the southwestern United States and northwestern Mexico (SW/NW). The location of these skeletons, >1,000 km outside their Neotropical endemic range, has suggested a far-reaching pre-Hispanic acquisition network. Clear evidence for scarlet macaw breeding within this network is only known from the settlement of Paquimé in NW dating between 1250 and 1450 CE. Although some scholars have speculated on the probable existence of earlier breeding centers in the SW/NW region, there has been no supporting evidence. In this study, we performed an ancient DNA analysis of scarlet macaws recovered from archaeological sites in Chaco Canyon and the contemporaneous Mimbres area of New Mexico. All samples were directly radiocarbon dated between 900 and 1200 CE. We reconstructed complete or near-complete mitochondrial genome sequences of 14 scarlet macaws from five different sites. We observed remarkably low genetic diversity in this sample, consistent with breeding of a small founder population translocated outside their natural range. Phylogeographic comparisons of our ancient DNA mitogenomes with mitochondrial sequences from macaws collected during the last 200 years from their endemic Neotropical range identified genetic affinity between the ancient macaws and a single rare haplogroup (Haplo6) observed only among wild macaws in Mexico and northern Guatemala. Our results suggest that people at an undiscovered pre-Hispanic settlement dating between 900 and 1200 CE managed a macaw breeding colony outside their endemic range and distributed these symbolically important birds through the SW.
Phylotranscriptomics points to multiple independent origins of multicellularity and cellular differentiation in the volvocine algae
<p class="western">The volvocine algae, which include the single-celled species <i>Chlamydomonas reinhardtii</i> and the colonial species <i>Volvox carteri</i>, serve as a model in which to study the evolution of multicellularity and cellular differentiation. Studies reconstructing the history of this group have by and large relied on datasets of one to a few genes for phylogenetic inference and ancestral character state reconstruction. As a result, volvocine phylogenies lack concordance depending on the number and/or type of genes (i.e., chloroplast vs nuclear) chosen for phylogenetic inference. While multiple studies suggest that multicellularity evolved only once in the volvocine algae, that each of its three colonial families is monophyletic, and that there have been at least three independent origins of cellular differentiation in the group, other studies call into question one or more of these conclusions. An accurate assessment of the evolutionary history of the volvocine algae requires inference of a more robust phylogeny. We performed RNA sequencing (RNA-seq) on 55 strains representing 47 volvocine algal species and obtained similar data from curated databases on 13 additional strains. We then compiled a dataset consisting of transcripts for 40 single-copy, protein-coding, nuclear genes, and subjected the predicted amino acid sequences of these genes to maximum likelihood, Bayesian inference, and coalescent-based analyses. These analyses show that multicellularity independently evolved at least twice in the volvocine algae and that the colonial family Goniaceae is not monophyletic. Our data further indicate that cellular differentiation arose independently at least four, and possibly as many as six times, within the volvocine algae. Altogether, our results demonstrate that multicellularity and cellular differentiation are evolutionarily labile in the volvocine algae, affirming the importance of this group as a model system for the study of major transitions in the history of life.</p>
Point cloud from terrestrial laser scanning of a coppiced beech tree (Fagus sylvatica) in Wytham Woods, UK
<p>Point cloud of an old beech coppice stool located in Wytham Woods, UK. </p> <p>A 3D model of the tree can be found <a href="https://skfb.ly/6WLqp">here</a> on SketchFab.</p> <p>Data was captured on 20/4/2021 with a RIEGL VZ-400 terrestrial laser scanner from 6 scan locations around the tree. The weather was good, with little to no noticeable wind. Data is a binary PLY format with reflectance, deviation and PCV fields as well as RGB. Note this data set still includes some ground returns.</p> <p>Please acknowledge the data set authors if using this data.</p>
Sample points for constructing Bivariate Cut-HDMR and CCD metamodels
<p>This supplemental file contains (1) the warpage values of 201 sample points that were used to construct the Bivariate Cut-HDMR metamodel; (2) the warpage values of 1,045 sample points that were used to construct the CCD metamodel; and (3) the Monte Carlo simulation sample points that used for validation.</p>
FIGURE 1 in The casque-headed tree-frog Corythomantis greeningi: clarifying some points on its biology
FIGURE 1. Male of Corythomantis greeningi calling in a puddle among rocks (A), Axillary amplexus in Corythomantis greeningi (B).
Points clouds of the best Somma-Vesuvius gravitative deformation process analog model
<p>Dense points clouds of the best Somma-Vesuvius gravitative deformation process analog model, realized with the Agisoft Photoscan software using a dataset of photos taken with four different cameras.</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.