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155 results for “localisation”
Damage Localisation in Fresh Cement Mortar Observed via In Situ (Timelapse) X-ray uCT imaging.
<p>This is dataset to paper: Damage Localisation in Fresh Cement Mortar Observed via In Situ (Timelapse) X-ray uCT imaging.</p>
Rotation of electron beams in the presence of localised, longitudinal magnetic fields
<p>Electron Bessel beams have been generated by inserting an annular aperture in the illumination system of a TEM.</p> <p>These beams have passed through a localised magnetic field.</p> <p>As a result a low amount of image rotation (which is expected to be proportional to the longitudinal component of the magnetic field) is observed in the far field.</p> <p>A measure of this rotation should give access to the magneti field.</p> <p>The two datasets have been acquired in a FEI Titan<sup>3</sup> microscope, operated at 300kV.</p> <p>The file focal_series.tif contains a series of images acquired varying the magnetic field through the objective lens.</p> <p>The file line_profile.ser contains a series of images acquired by scanning the beam over a sample with several magnetised nanopillars.</p> <p>For reference, check the associated publication:<br> <em>Giulio Guzzinati, Armand Béché, Damien McGrouther and Jo Verbeeck</em>, <strong>Prospects for out-of-plane magnetic field measurements through interference of electron vortex modes in the TEM, </strong><a href="https://doi.org/10.1088/2040-8986/ab51fc">Journal of Optics 21 124002 (2019)</a></p>
PROTECT project second RAW inertial data for pedestrian inertial localisation (ORDP initiative)
<p><strong>Contact person(s)</strong>: Enrico de Marinis</p> <p><strong>Data collector(s)</strong>: Enrico de Marinis. Fabrizio Pucci, Michele Uliana</p> <p><strong>Data curator(s)</strong>: Guido Rosi</p> <p><strong>Work package leader(s)</strong>: Fabrizio Pucci; Fabio Andreucci</p> <p><strong>Content</strong></p> <p>Inertial Measurement Unit raw data in TXT open and readable format, to be used for processing and testing the pedestrian dead reckoning algorithms by the inertial and indoor tracking scientific community.</p> <p>The raw inertial data have been collected and made publicly available in the frame of the SME Phase 2 project PROTECT (820867), co-funded by the European Commission</p> <p><strong>Experimental data</strong></p> <p>The publicly shared archive contains the following, distinct datasets:</p> <ul> <li>RawData_20200729_141819_000002_000003_007.decod.grz: collected in Pisa (Italy) with the DUNE foot-mounted sensor unit on July 29, 2020, in the frame of the project WP4 activities (system demonstration).</li> <li>RawData_20200729_143538_000002_000003_008.decod.grz; collected in Pisa (Italy) with the DUNE foot-mounted sensor unit on July 29, 2020, in the frame of the project WP4 activities (system demonstration).</li> <li>RawData_20200729_150213_000024_000024_004.decod.grz: collected in Pisa (Italy) with the DUNE foot-mounted sensor unit on July 29, 2020, in the frame of the project WP4 activities (system demonstration).</li> <li>RawData_20200729_153840_000007_000024_005.decod.grz: collected in Pisa (Italy) with the DUNE foot-mounted sensor unit on July 29, 2020, in the frame of the project WP4 activities (system demonstration).</li> <li>RawData_20200729_155152_000024_000003_010.decod.grz: collected in Pisa (Italy) with the DUNE foot-mounted sensor unit on July 29, 2020, in the frame of the project WP4 activities (system demonstration).</li> <li>RawData_20200730_113457_000024_000004_006.decod.grz: collected in Pisa (Italy) with the DUNE foot-mounted sensor unit on July 30, 2020, in the frame of the project WP4 activities (system demonstration).</li> <li>RawData_20200730_141622_000007_000007_003.decod.grz: collected in Pisa (Italy) with the DUNE foot-mounted sensor unit on July 30, 2020, in the frame of the project WP4 activities (system demonstration).</li> <li>RawData_20200730_153554_000007_000007_004.decod.grz: collected in Pisa (Italy) with the DUNE foot-mounted sensor unit on July 30, 2020, in the frame of the project WP4 activities (system demonstration).</li> <li>RawData_YYYYMMDD_HHMMSS_000007_000003_011.decod.grz: collected in Pisa (Italy) with the DUNE foot-mounted sensor unit on July 30, 2020, in the frame of the project WP4 activities (system demonstration).</li> </ul> <p><strong>Images of the experimental data</strong></p> <p>For each of the above data files, the image of the corresponding PDR (Pedestrian Dead Reckoning) processed track has been added as a geo-referenced JPG capture overlaid on the location satellite image. The image file name is the same as the corresponding data file.</p> <ul> <li>RawData_20200729_141819_000002_000003_007.decod.jpg</li> <li>RawData_20200729_143538_000002_000003_008.decod.jpg</li> <li>RawData_20200729_150213_000024_000024_004.decod.jpg</li> <li>RawData_20200729_153840_000007_000024_005.decod.jpg:</li> <li>RawData_20200729_155152_000024_000003_010.decod.jpg</li> <li>RawData_20200730_113457_000024_000004_006.decod.jpg</li> <li>RawData_20200730_141622_000007_000007_003.decod.jpg</li> <li>RawData_20200730_153554_000007_000007_004.decod.jpg</li> <li>RawData_YYYYMMDD_HHMMSS_000007_000003_011.decod.jpg</li> </ul> <p><strong>Open and Accessible Data format</strong></p> <p>The data format is the following</p> <p>gyro(x) gyro(y) gyro(z) acc(x) acc(y) acc(z) mag(x) mag(y) mag(z) temperature altitude</p> <p>x, y, z indicate the axes of the Inertial Measurement Unit</p> <p>gyro stands for the angular velocity and is in rad/s</p> <p>acc stands for the acceleration and is in m/s^2</p> <p>mag is the magnetic field and is in milligauss</p> <p>temperature is in °C</p> <p>altitude is the output of the altimeter and is expressed in meters</p> <p>All the samples, in all datasets have been recorded with a 200 Hz sampling frequency.</p>
AGO2 localises to cytokinetic protrusions in a p38 dependent manner and is needed for accurate cell division.
<p>Argonaute 2 (AGO2) is an indispensable component of the RNA-induced silencing complex, operating at the transcriptional or posttranscriptional level. It is compartmentalized into structures such as GW- and P-bodies, stress granules and adherens junctions as well as the midbody. Here we show using immunofluorescence, image- and bioinformatic analysis and cytogenetics that AGO2 also resides in membrane protrusions such as open- and close-ended tubes. The latter are cytokinetic bridges where AGO2 colocalizes at the midbody-arms with cytoskeletal components such as α-Τubulin and Aurora B and various kinases. AGO2, phosphorylated on serine 387 is located together with Dicer at the midbody ring in a manner dependent on p38 MAPK activity. We further show that AGO2 is stress sensitive and important to ensure the proper chromosome segregation and cytokinetic fidelity. We suggest that AGO2 is part of a regulatory mechanism triggered by cytokinetic stress to generate the appropriate micro-environment for local transcript homeostasis.</p> <p><br> Statement: AGO2 resides in open-ended tunneling nanotubes and close-ended cytokinetic bridges. At the latter location AGO2 colocalises with cell division components and the authors show that AGO2 deregulation impairs cell division fidelity.</p>
Dipole localisation predictions data set
<p>This data set contains prediction of ten dipole localisation algorithms computed using a simulated artificial lateral line (potential flow).</p>
Light and confocal micrographs on the response of Mesotaenium endlicherianum SAG 12.97 to a bifactorial environmental gradient, the accumulation of lipid droplets, and the heterologous expression and localisation of signature LD protein homologs to tobacco pollen tubes
<p>These micrographs accompany the work "Environmental gradients reveal stress hubs predating plant terrestrialization", posted as a pre-print on bioRxiv https://doi.org/10.1101/2022.10.17.512551 </p> <p>The light and confocal micrographs show the response of Mesotaenium endlicherianum SAG 12.97 to a bifactorial environmental gradient, especially their accumulation of lipid droplets (LDs); in confocal micrographs, LDs appeared as distinct structures upon staining with BODIPY.</p> <p>Further confocal micrographs show the heterologous expression and localisation of signature LD protein homologs detected in Mesotaenium endlicherianum SAG 12.97; heterologous expression was carried out in tobacco pollen tubes were also stained with BODIPY and proteins were tagged with mCherry.</p>
PROTECT project RAW inertial data for pedestrian inertial localisation (ORDP initiative)
<p><strong>Content</strong></p> <p>Inertial Measurement Unit raw data in TXT open and readable format, to be used for processing and testing the pedestrian dead reckoning algorithms by the inertial and indoor tracking scientific community.</p> <p>The raw inertial data have been collected and made publicly available in the frame of the SME Phase 2 project PROTECT (820867), co-funded by the European Commission</p> <p> </p> <p><strong>Experimental data</strong></p> <p>The publicly shared archive contains the following, distinct datasets:</p> <ul> <li>RawData_5_2_20191113_180029.decod: collected in Rome (Italy) with the DUNE foot-mounted sensor unit n. 5 on November 13, 2019, in the frame of the project WP3 activities (system scale-up design); aprox. Duration, 30 mins.</li> <li>RawData_6_1_20191112_170005.decod; collected in Roma (Italy)with the DUNE foot-mounted sensor unit n. 6 on November 12, 2019, in the frame of the WP3 activities (system scale-up design), aprox. Duration, 30 mins.</li> <li>RawData_008_01_20191130_162759.decod: collected in Beijing (China) with the DUNE foot-mounted sensor unit n. 8 on November 30, 2019, in the frame of the WP4 activities (demonstration), aprox. Duration, 30 mins.</li> <li>RawData_008_02_20191201_125122.decod: collected in Beijing (China) with the DUNE foot-mounted sensor unit n. 8 on December 1<sup>st</sup>, 2019, in the frame of the WP4 activities (demonstration), aprox. Duration, 30 mins.</li> <li>RawData_008_03_20191201_153053.decod: collected in Beijing (China) with the DUNE foot-mounted sensor unit n. 8 on December 1<sup>st</sup>, 2019, in the frame of the WP4 activities (demonstration), aprox. Duration, 30 mins.</li> <li>RawData_008_06_20191120_182949.decod: collected in Roma (Italy)with the DUNE foot-mounted sensor unit n. 8 on November 20, 2019, in the frame of the WP3 activities (system scale-up design), aprox. Duration, 30 mins. The experiment has a mix of walk and fast run.</li> </ul> <p> </p> <p><strong>Open and Accessible Data format</strong></p> <p>The data format is the following</p> <p>gyro(x) gyro(y) gyro(z) acc(x) acc(y) acc(z) mag(x) mag(y) mag(z) temperature altitude</p> <p> </p> <p>x, y, z indicate the axes of the Inertial Measurement Unit</p> <p>gyro stands for the angular velocity and is in rad/s</p> <p>acc stands for the acceleration and is in m/s^2</p> <p>mag is the magnetic field and is in milligauss</p> <p>temperature is in °C</p> <p>altitude is the output of the altimeter and is expressed in meters</p> <p>All the samples, in all dataset have been recorded with a 200 Hz sampling frequency.</p>
FIG. 10. — Localisation des stigmates d in Des exploitations intensives d'huîtres pendant l'Antiquité et le Moyen Âge sur le littoral atlantique français: l'exemple de Beauvoir-sur-Mer (Vendée)
FIG. 10. — Localisation des stigmates d'ouverture observés à Beauvoir-sur-Mer. Abréviation: N, nombre de valves étudiées (C. Dupont, CNRS).
R script for identification and localisation of prophage within bacterial genomes using outward-oriented paired-end reads.
<p>This R script shows an analysis example of using outwards-oriented paired-end reads (OPRs), identified using the OPR finder function in the mVIRs package, to identify p22 in <em>S</em>. Tm LT2 as described in the publication "<strong>High throughput sequencing provides exact genomic locations of inducible prophages and accurate phage-to-host ratios in gut microbial strains" </strong>by Zünd et al. Microbiome (2021)</p>
Localisation of a real vs. binaural simulated point source -- data
<p>This data set contains stimuli and results from an experiment that compared the localisation of a real point source realised by a loudspeaker to the localisation of a binaural simulation of the same source using head related impulse responses (HRIRs) or binaural room impulse responses (BRIRs). The results are published in [1].</p> <p>The corresponding binaural room scanning (BRS) files for the binaural simulation can be found in the file `brs.zip`, the employed noise stimulus in `stimuli.zip`. The file `results.zip` contains the results of all 11 listeners to the localisation task and the file `results_head_movements.zip` the recoreded head movements the listeners performed during the task. The file analysis.zip` contains average results and a plotting script.</p>
Fabric evolution and strain localisation in inherently anisotropic specimens of anisometric particles under triaxial compresion
<p>This repository contains the data and processed results of the work "<em>Fabric evolution and strain localisation in inherently anisotropic specimens of anisometric particles (lentils) under triaxial compression</em>", published in Granular Matter (https://link.springer.com/article/10.1007/s10035-022-01305-8).</p> <p>The study analyses five triaxial compression tests on cylindrical specimens made up of more than nine thousand lentils. Each specimen is prepared with a characteristic orientation (the orientation of the mould for the deposition of the lentils). Repeated x-ray tomography scanning is performed during deviatoric loading, and each scanned step is reconstructed into a 3D volume. Particles are identified in the first 3D volume (in the form of a labelled image) and tracked from the first image all the way through the test using a novel tracking algorithm, enabling the measurement of particle and contact fabric evolution, as well as strain localisation within the specimens. All the procesing is performed using <a href="https://ttk.gricad-pages.univ-grenoble-alpes.fr/spam/intro.html">spam</a> (https://ttk.gricad-pages.univ-grenoble-alpes.fr/spam/intro.html) software.</p> <p> </p> <p>The <em>Readme.md</em> file contains further details on the experimental campaign, and the structure of the repository. Please refer to the paper "<em>Fabric evolution and strain localisation in inherently anisotropic specimens of anisometric particles under triaxial compression</em>" published on<em> Granular Matter</em> for further details not found on the <em>Readme.md </em>file . Additional information/data not included in this repository is available upon request.</p>
Normative brain mapping of interictal intracranial EEG to localise epileptogenic tissue
<p>Code & data to reproduce figures in "Normative brain mapping of interictal intracranial EEG to localise epileptogenic tissue", Taylor et al, 2021 (Brain)</p>
dataset for Fig 2 in NatComm "Localised structuring of metal-semiconductor cores in silica clad fibres using laser-driven thermal gradients"
<p>Infrared transmission of silicon core fiber through which gold has been laser-thermally moved to reystallize the material</p>
Research Data - Deformation Localisation in Ion-Irradiated Fe and Fe10Cr
<p>Research data and associated processing and plotting scripts for the article:</p> <p>Song <em>et al.,</em> 'Deformation localisation in ion-irradiated Fe and Fe10Cr', <em>Journal of Nuclear Materials</em>, 155104, 2024</p> <p><a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.jnucmat.2024.155104" target="_blank" rel="noreferrer noopener"><span>https://doi.org/10.1016/j.jnucmat.2024.155104</span></a></p>
Raw images and processed datasets related to the journal article Robust Assessment of Post-Localisation Hardening Behaviour in Eurofer97 using Inverse Finite Element Methods
Open the record for dataset details and reuse information.
◂Fig. 4 Gynoecium of C. crenata %yellow frames), C. cf. grandicalyx %blue frames) and C. sinensis %pink frames; A–R light microscopy; TS in horizontal orientation). A Secantial section. B, C TS %note cellular organisation). D Secantial section. E, F TS %note cellular organisation). G Secantial section of young gynoecium showing cellular organisation. H–J TS %note lacking cellular organisation, localisation in K–M). K–M LS at different levels from outside to inside of the same specimen %note strongly stained peripheral tissue; asterisks indicate tissue illustrated in H–J). N TS %note dehiscence lines of the prospective endocarp). O, P TS showing transmission tissue and dorsal bundles at top of style. Q vascularisation at base of gynoecium %note strongly stained peripheral tissue). R Vascularisation at base of flower %LS, longisection; TS, transverse section; db, dorsal bundle; dl, dehiscent line; ep, epidermis; lb, lateral bundle; tt, transmission tissue; ut, peripheral tissue; vb, ventral bundle; vs, ventral slit) in Observations on flower and fruit anatomy in dioecious species of Cordia (Cordiaceae, Boraginales) with evolutionary interpretations
◂Fig. 4 Gynoecium of C. crenata %yellow frames), C. cf. grandicalyx %blue frames) and C. sinensis %pink frames; A–R light microscopy; TS in horizontal orientation). A Secantial section. B, C TS %note cellular organisation). D Secantial section. E, F TS %note cellular organisation). G Secantial section of young gynoecium showing cellular organisation. H–J TS %note lacking cellular organisation, localisation in K–M). K–M LS at different levels from outside to inside of the same specimen %note strongly stained peripheral tissue; asterisks indicate tissue illustrated in H–J). N TS %note dehiscence lines of the prospective endocarp). O, P TS showing transmission tissue and dorsal bundles at top of style. Q vascularisation at base of gynoecium %note strongly stained peripheral tissue). R Vascularisation at base of flower %LS, longisection; TS, transverse section; db, dorsal bundle; dl, dehiscent line; ep, epidermis; lb, lateral bundle; tt, transmission tissue; ut, peripheral tissue; vb, ventral bundle; vs, ventral slit)
Fig. 1 in Une nouvelle espèce de Turraea (Meliaceae) des Mascareignes. Localisation de T. thouarsiana et identité de T. casimiriana
Fig. 1. — Turraea monticola: A, rameau fleuri; B, base d'une feuille, face inférieure; C, fleur, un pétale enlevé; D, androcée; E, anthère, vue interne; F, pistil; G, fruit déhiscent. — Turraea ovata: H, fleur; I, androcée, avec le sommet du style; J, pistil; K, stigmate. A-F, Bosser 21256 (P); G, Friedmann 1570 (P); H-K, Capuron 28247 (P).
FIG. 19. – Localisation des sources d in Les objets de parure associés au dépôt funéraire mésolithique de Grosse Ofnet: implications pour la compréhension de l'organisation sociale des dernières sociétés de chasseurs-cueilleurs du Jura Souabe
FIG. 19. – Localisation des sources d'approvisionnement des différents coquillages utilisés dans la parure de Grosse Ofnet. M, bassin de la Mayence; S, bassin de Stenheim; 1, Theodoxus gregarius; 2, Gyraulus sulcatus; 3, Lithoglyphus naticoides; 4, Columbella rustica.
FIG. 1. — Localisation des gisements d in Évolution de la biodiversité et de la distribution paléobiogéographique des échinides sur les côtes atlantiques du Maroc du Tortonien à l'Actuel
FIG. 1. — Localisation des gisements d'échinides étudiés (côte atlantique, Maroc), avec distinction des sites ayant livré respectivement des espèces fini-miocènes, pliocènes et pléistocènes.
Data underpinning "Localisation and Sub-Diffusive Transport in Quantum Spin Chains With Dilute Disorder"
<p>It is widely believed that many-body localisation in one dimension is fragile and can be easily destroyed by thermal inclusions, however there are still many open questions regarding the stability of the localised phase and under what conditions it breaks down. Here I construct models with dilute disorder, which interpolate between translationally invariant and fully random models, in order to study the breakdown of localisation. This opens up the possibility to controllably increase the density of thermal regions and examine the breakdown of localisation as this density is increased. At strong disorder, the numerical results are consistent with commonly-used diagnostics for localisation even when the concentration of thermalising regions is high. At moderate disorder, I present evidence for slow dynamics and sub-diffusive transport across a large region of the phase diagram, suggestive of a `bad metal' phase. This suggests that dilute disorder may be a useful effective model for studying Griffiths effects in many-body localisation, and perhaps also in a wider class of disordered systems.</p>
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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.