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1,651 results for “Plane”
Planes de comunicación efectiva para proyectos de ciencia e innovación (videoresúmen)
<p><strong>Presentación de la ponencia al "I Congreso Internacional en Comunicación Especializada en la Sociedad de la Información"<br></strong>El Congreso tuvo lugar en Madrid del 25 al 26 de noviembre de 2020, en la Facultad de Ciencias de la Información de la Universidad Complutense de Madrid.</p> <p><span><strong>Resumen</strong><br>En la evaluación intermedia del Programa Marco de investigación e innovación Horizonte 2020, <strong>la Comisión Europea ha planteado el reto de la comunicación de la ciencia</strong> como uno de los 7 ámbitos pendientes de mejora, <strong>aplicable también al próximo programa marco Horizonte Europa</strong>. </span></p> <p><span>El <strong>objetivo de este estudio </strong>es proponer <strong>pautas para el diseño de un plan de comunicación estratégico</strong>, orientado a multiplicar el impacto de la inversión pública europea en ciencia e innovación, <strong>alcanzando a la sociedad y medios de comunicación</strong>. <br></span><span>Como resultado, s<strong>e brinda una metodología de diseño del plan dinámico-estratégico basado en 10 preguntas clave </strong>para generar propuestas más competitivas y proyectos que puedan alcanzar mayor impacto de comunicación en audiencias diversas, y lograr implicarlas.<br></span><span>Como método de desarrollo, se ha llevado a cabo una revisión sistematizada de la documentación de referencia del portal del participante Horizonte 2020 sobre comunicación, base de la evidencia. Para poder presentar la propuesta núcleo de esta comunicación se ha adaptado la metodología de desarrollo de proyectos sociales basada en 10 preguntas clave </span><span><span>(Ander-Egg & Aguilar Idáñez, 2005)</span></span><span>. </span></p> <p><span>En lugar de partir de una comprensión incompleta de las diferentes dimensiones de un plan de comunicación, <strong>proponemos una herramienta conceptual que con 10 preguntas clave pueda ser una guía para el diseño de planes dinámico-estratégicos</strong> <strong>para una comunicación efectiva</strong> <strong>de cualquier proyecto de investigación</strong>, en especial aquellos financiados con fondos públicos. </span></p> <p><span><br>Alejandra Campos <br>email: campossalva.alejandra@gmail.com</span></p>
Influence of in-plane shear on kink-plane orientation in a unidirectional fibre composite
<p>The x-ray scan data and video representation of those data used in the following paper to where the references should be given:</p> <p>Wilhelmsson, D., L.P. Mikkelsen, S. Fæster, L.E. Asp, X-ray tomography data of compression tested unidirectional fibre composites with different off-axis angles, <em>Data in Brief</em>, <strong>25</strong>, 104263. <a href="https://doi.org/10.1016/j.dib.2019.104263">https://doi.org/10.1016/j.dib.2019.104263</a>, 2019</p> <p>Wilhelmsson, D., Mikkelsen, L.P., Fæster, S., Asp, L.E, Influence of in-plane shear on kink-plane orientation in a unidirectional fibre composite. <em>Composites Part A, </em><strong>119</strong>, 283-290, <a href="https://doi.org/10.1016/j.compositesa.2019.01.018">https://doi.org/10.1016/j.compositesa.2019.01.018</a>, 2019.</p> <p>More details on the scans can be found in the paper.</p> <p>The data included is the a 13 mm LFoV and a central 3mm SFoV scan. The data is saved as a 3D tiff-stack as well as a 3D reconstructed file which can be opened in e.g. Avizo. There is data for 5 cases:</p> <p>0 deg, 5 deg, 10 deg, 15 deg and 20 deg</p> <p>For more details look into the references. A animation has been made for each can and is saved as mpg-files. In addition, the 5 animations can also be seen using the following links</p> <ul> <li>0 deg: <a href="https://youtu.be/41k5RsuNs4Y">https://youtu.be/41k5RsuNs4Y</a></li> <li>5 deg: <a href="https://youtu.be/FH7lj0mgJAY">https://youtu.be/FH7lj0mgJAY</a></li> <li>10 deg: <a href="https://youtu.be/oW5AR_Vjjxg">https://youtu.be/oW5AR_Vjjxg</a></li> <li>15 deg: <a href="https://youtu.be/twKY42CsRG4">https://youtu.be/twKY42CsRG4</a></li> <li>20 deg: <a href="https://youtu.be/_xtygVfAkSo">https://youtu.be/_xtygVfAkSo</a></li> </ul> <p> </p>
AllScale: Reference data of a flow over a plane. DPW-4 performed with Fine/Open
<p>The present computation has been performed on a 66 millions cells mesh. The turbulence model used is the Spalart Allmaras using CPU-Booster.</p> <p> </p> <p>Flow configuration : </p> <ul> <li>M = 0.85</li> <li>Re = 5 000 000</li> <li>AoA = 0.040472087 radians</li> </ul> <p>Integral results: </p> <ul> <li>CL = 0.49328</li> <li>CD = 2.701862e-2</li> <li>CM = -4.89841e-2</li> </ul> <p>Geometry and refernce data can be found on the DPW-4 website : https://aiaa-dpw.larc.nasa.gov/Workshop4/DPW4-geom.html</p> <p>The data set provide one cgns file of the 3D mesh with the primitives variables in order to compare the reference application and the AllScale prototype. </p>
Additional data for "In-situ full field out of plane displacement and strain measurements at the micro-scale in single reinforcement composites under transverse load"
<p>The following document is an extension of the <em>In-situ full field out of plane displacement and strain measurements at the micro-scale in single reinforcement composites under transverse load</em> publication. It contains guidelines for the experimental results for the single fiber experiments and bundle of carbon fiber ones. The detailed data from the experiments is provided with this document as <em>CSV </em>files.</p>
Horizontal-plane HRTFs of KEMAR mannequin spatially interpolated with a resolution of 0.5°
<p>HRTFs of the KEMAR manikin (Gardner and Martin, 1995):</p> <ul> <li>"hrtf_M_normal pinna.sofa": the original HRTF dataset from the KEMAR manikin at a lateral resolution of 5° stored as a SOFA file (Majdak et al., 2013)</li> <li>"hrtf_M_normal pinna resolution 0.5 deg.sofa": A super-resolution HRTF set with a directional up-sampling of the original HRTF set to the lateral resolution of 0.5°. To this end, for each ear's HRTF set: <ul> <li>The broadband timing was removed by replacing the HRTF's phase spectrum by the minimum-phase spectrum (Oppenheim et al. 1999) corresponding to HRTF's amplitude spectrum.</li> <li>For the interpolation of the amplitude spectra, the complex spectra of the minimum-phase HRTFs for two adjacent available directions were averaged according to a weighting that corresponded to the interpolated target direction. </li> <li>For the interpolation of the timing, a continuous-direction model of the time-of-arrival (TOA) was applied (Ziegelwanger & Majdak, 2014). TOA is the broadband delay arising from the propagation paths from the sound source to the listener's ear. For a given direction of a sound, the interaural difference of TOAs corresponds to the ITD. The TOA model parameters describe listener's geometry (head and ears) and configure a continuous-direction function of broadband TOA. We used this function to calculate TOAs for directions in steps of 0.5°. To this end, for each ear, the model was fit to an HRTF set as described by Majdak & Ziegelwanger (2013) using the implementation from the Auditory Modeling Toolbox (Søndergaard & Majdak, 2013). Then, each minimum-phase HRTF was temporally up-sampled by a factor of 64, circularly shifted by the TOA obtained from the continuous-direction TOA model for the target direction, and then down-sampled to the sampling rate of 44.1 kHz. Note that the temporal oversampling was required to achieve an interaural resolution of 0.35 µs. </li> </ul> </li> </ul> <p> </p>
Constant plane shift model: structure analysis of martensitic phases in Ni50Mn27Ga22Fe1 beyond non-modulated building blocks
<p>Difraction data for lattice parameter calculation, Origin files</p>
In-plane, In-situ domain switching in BaTiO3 thin films. BE-PFM data and CV curve.
<p>In-Plane band-exitation piezoresponse force microsopy data and CV curve in BaTiO3<br> The BE-PFM data have been fit to a second harmonic oscillator.<br> The data is stored as as python dictionaries that have been pickled. They contain the fitting paramaters for each pixel in each image.<br> The first image run4_0002_fit.lsqfit with zero bias.<br> The bias for all images are stored in CV.CV, also a python dictionary that has been pickled, and contains the voltage [V] and capacitance [F] for all 129 images.<br> See the jupyter notebook for how to read the data</p>
Mouse Organoids imaged with Dual Oblique Plane Microscopy
<p>This is a dataset to demonstrate segmenting colonies of 3D cells. The primary focus is segmenting mouse organoids images using timelapse dual oblique plane microscopy. There is also a set of data mouse embryonic stem cells imaged using spinning disk confocal microscopy.</p>
Atomic models of elementary bcc to hcp transition with {13-41} mirror plane
<p>Atomic structures of bcc to hcp transition using the supercells constructed with {13-41} hcp planes. Transition</p>
Experimental EBSD data for 035C and 07C lean steel for habit plane determination
<p>Experimental data for demonstrating the habit plane determination algorithms described in:</p> <p>https://arxiv.org/abs/2303.07750</p> <p>The linked resource contains a full description of how the data was obtained and processed, as well as the interpretation of the results.</p>
In-plane growth of topological crystalline insulator Pb1−xSnxTe nanowires
<p>data of '<em>In-plane growth of topological crystalline insulator Pb1−x</em><em>Sn</em><em>x</em><em>Te nanowires'</em></p>
Astrometric Calibration and Performance of the Dark Energy Spectroscopic Instrument Focal Plane
<p>Supplementary material to DESI's publication Astrometric Calibration and Performance of the Dark Energy Spectroscopic Instrument Focal Plane.</p> <p>Figure 6: Astrometric trends<br> trend.dat</p> <p>Figure 7: Deformation residuals<br> gfa-south-west.dat</p> <p>Figure 10: Turbulence<br> e2c.dat<br> b2c.dat</p> <p>Figure 11: Turbulence Corrected<br> turbcorr.dat</p> <p>Figure 13: Quiver residuals<br> quiver-R.dat</p> <p>Figure 14: Dither offsets<br> dither20220518-R.dat</p> <p>Figure 15: Chromatic residuals<br> chromatic.dat</p> <p>Figure 16: Temperature dependence<br> tempscale.dat<br> </p>
Análisis Planes de Estudio (Inclusión Digital)
<p>Documento que recoge los datos encontrados sobre inclusión digital (ID) en los planes de estudio de los Grados de Educación Infantil y Primaria de las universidades que figuran en el Registro de Universidades, Centros y Títulos (RUCT) del Ministerio de Universidades de España.</p>
Tabela 1. Wykaz stanowisk badawczych i występujących na nich platanów klonolistnych z obserwacjami Corythucha ciliata / Table 1. List of research sites and London plane trees with Corythucha ciliata observations].
<p>Wykaz stanowisk badawczych i występujących na nich platanów klonolistnych z obserwacjami<em> Corythucha ciliata / </em><em>List of research sites and London plane trees with Corythucha ciliata observations</em>.</p>
DataSet of the study SRM in the median plane with individual and mannequin HRTF
<p>Raw data collected in the study called: "Spatial Release from Masking in the median plane with non-native speakers using individual and mannequin Head Related Transfer Functions".</p>
Sky model from the paper "Prospects for a survey of the Galactic plane with the Cherenkov Telescope Array" by the CTA Consortium
<p>The main source model definition file is provided in two formats.</p> <p>- models_gps.xml: readable using GammaLib/ctools, see http://cta.irap.omp.eu/ctools/users/user_manual/models.html</p> <p>- models_gps.yaml: readable using Gammapy, see https://docs.gammapy.org/1.1/tutorials/api/models.html#model-lists-and-serialisation</p> <p> </p> <p>We provide separately the three alternative interstellar emission models.</p> <p>- base: IEM_base.fits</p> <p>- varmin: IEM_varmin.fits.gz</p> <p>- varmin-rescaled: IEM_varmin_rescaled.fits.gz</p> <p>To use the interstellar models one can employ:</p> <p>- GammaLib/ctools, see http://cta.irap.omp.eu/ctools/users/user_manual/models_spatial.html#diffusemapcube</p> <p>- Gammapy, see https://docs.gammapy.org/1.1/tutorials/data/fermi_lat.html#galactic-diffuse-background</p> <p> </p> <p>This work was conducted in the context of the CTA Consortium. We gratefully acknowledge financial support from the agencies and organizations listed here: https://www.cta-observatory.org/consortium_acknowledgments/.</p>
Obstetric Liposomal Bupivacaine Via Surgical Transversus Abdominis Plane Block for Post Cesarean Pain Control
ClinicalTrials.gov study NCT04897841. IPD Sharing: NO. Countries: 1. Publications: 1.
Pre Operative Transversus Abdominis Plane Block Laparoscopic Gynecological Surgery
ClinicalTrials.gov study NCT01075074. IPD Sharing: Not stated. Countries: 1. Publications: 10.
Transverse Abdominis Plane (TAP) Block After Cesarean Delivery
ClinicalTrials.gov study NCT01170702. IPD Sharing: NO. Countries: 1. Publications: 8.
Exparel Transversus Abdominis Plane Block vs Intrathecal Analgesia In Colorectal Surgery
ClinicalTrials.gov study NCT02356198. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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.