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41 results for “Source Localization”
Source data for: Presynaptic NMDARs cooperate with local spikes toward GABA release from the reciprocal olfactory bulb granule cell spine
<p><span>In the rodent olfactory bulb the smooth dendrites of the principal glutamatergic mitral cells (MCs) form reciprocal dendrodendritic synapses with large spines on GABAergic granule cells (GC), where unitary release of glutamate can trigger postsynaptic local activation of voltage-gated Na<sup>+</sup>-channels (Na<sub>v</sub>s), i.e. a spine spike. Can such single MC input evoke reciprocal release? We find that unitary-like activation via two-photon uncaging of glutamate causes GC spines to release GABA both synchronously and asynchronously onto MC dendrites. This release indeed requires activation of Na<sub>v</sub>s and high-voltage-activated Ca<sup>2+</sup>-channels (HVACCs), but also of NMDA receptors (NMDAR). Simulations show temporally overlapping HVACC- and NMDAR-mediated Ca<sup>2+</sup>-currents during the spine spike, and ultrastructural data prove NMDAR presence within the GABAergic presynapse. The cooperative action of presynaptic NMDARs allows to implement synapse-specific, activity-dependent lateral inhibition and thus could provide an efficient solution to combinatorial percept synthesis in a sensory system with many receptor channels. </span></p>
Strength, depth, and geometry of magnetic sources in the crust of the Moon from localized power spectrum analysis
<p>This archive contains data files that can be used to reproduce Figures 7-10 in the article</p> <blockquote> <p>Wieczorek, M. A. (2018) Strength, depth, and geometry of magnetic sources in the crust of the Moon from localized power spectrum analysis, J. Geophys. Res. Planets.</p> </blockquote> <p>The data files contain the final inversion results for the model using magnetized sills, where the full magnetic field to spherical-harmonic degree 449 was employed. For each localized analysis, the best 6 orthogonal localization windows were used that maximized their power within a spherical cap with an angular radius of 8 degrees and with a spherical-harmonic bandwidth of 58. The analyses were performed at the vertices of a quasi equal-area grid with a spacing corresponding to five degrees of latitude. For these models, the file names start with "sills_449_8_58_5". Each file contains the latitude and longitude (in degrees) of the localization analysis, as well as one other value.</p> <p><br> FILE DESCRIPTIONS</p> <p>sills_449_8_58_5_minchi2r.dat</p> <p>This file contains the minimum reduced chi<sup>2</sup> value of the best-fitting model for each analysis. Uncertainties on the inversion parameters were obtained from Monte Carlo simulations that showed 68.2% and 95.4% of the analyses should have reduced chi<sup>2</sup> values less than 2.133 and 4.082, respectively. Where 1-sigma uncertainties could not be calculated (when the best-fitting misfits were above the 1-sigma limits) the limit was set to +/- 999.e99.</p> <p>sills_449_8_58_5_db.dat<br> sills_449_8_58_5_db_1m.dat<br> sills_449_8_58_5_db_1p.dat</p> <p>The best-fitting depths to the bottom of the magnetized region and their +/- 1-sigma limits (1p/1m).</p> <p>sills_449_8_58_5_dt.dat<br> sills_449_8_58_5_dt_1m.dat<br> sills_449_8_58_5_dt_1p.dat</p> <p>The best-fitting depths to the top of the magnetized region and their +/- 1-sigma limits.</p> <p>sills_449_8_58_5_rdisk.dat<br> sills_449_8_58_5_rdisk_1m.dat<br> sills_449_8_58_5_rdisk_1p.dat</p> <p>The best-fitting angular radii (in km) of the magnetized sills and their +/- 1-sigma limits.</p> <p>sills_449_8_58_5_rkm2v2.dat<br> sills_449_8_58_5_rkm2v2_1m.dat<br> sills_449_8_58_5_rkm2v2_1p.dat</p> <p>The best-fitting (N M^2 V^2)^(1/2) values in A m^2 of the magnetized sills and their +/- 1-sigma limits.<br> </p>
The contribution of locally tangential CMB-mantle flow and cold-source subducting plates to ULVZ's formation and morphology
<p>This is the dataset for the paper "The contribution of locally tangential CMB-mantle flow and cold-source subducting plates to ULVZ's formation and morphology"</p> <p>Renewed dataset for the section 4.3.2 in the paper "Contribution of tangential CMB-mantle flow between hot mantle plumes and cold downwellings to ULVZ formation and morphology"</p>
Data for the study: Comparison of beamformer implementations for MEG source localization
<p>This data set is a part of the study 'Comparison of beamformers implementations for MEG source localization'. The dataset includes 64 phantom datasets, 2 human datasets, and 50 simulated datasets. The data also include segmented MRI files from FreeSurfer for MEG phantom (Megin Oy, Helsinki, Finland) and a human subject MRI. It also includes the used versions of the four beamforming packages (MNE-Python, FieldTrip, SPM12(DAiSS), and Brainstorm) and codes used for the analysis.</p>
Local Voting Z: Source code and datasets.
<p>DataSet with results and code for paper submitted to Computer Networks</p>
Source data for the manuscript "Theory of branching morphogenesis by local interactions and global guidance"
<p>The zip file includes source data used in the main text of the manuscript "Theory of branching morphogenesis by local interactions and global guidance", as well as a representative Jupyter notebook to reproduce the main figures. A sample script for the simulations of branching and annihilating random walks is also included (Sample_script_for_simulations_of_BARWs.ipynb) to generate exemplary branched networks under external guidance. A detailed description of the simulation setup is provided in the supplementary information of the manuscipt.</p>
Global and local drivers of the relative importance of allochthonous and autochthonous energy sources to freshwater food webs
<p>Resource quantity (i.e., organic matter; OM) is a main driver of the prevailing energy pathway in freshwater food webs. The OM pool is mainly composed of allochthonous material, a primary resource for freshwater consumers. Contrastingly, small amounts of autochthonous OM (i.e., algae) can subsidize aquatic communities due to its higher nutritional quality. To date, there is no consensus about the relative importance of allochthonous and autochthonous OMs for freshwater food webs or the environmental factors driving their relative importance. We fill this gap by evaluating the relative importance of allochthonous and autochthonous OM sources for freshwater food webs on a global scale through a meta-analytical approach. We gathered the outcome of stable isotope mixing models of 2,789 cases from 58 published studies and calculated a response ratio between the mean contributions of allochthonous and autochthonous OM for freshwater consumers. Using mixed-effect models and a multimodel inference approach, we tested the influence of latitude, habitat type, ecosystem size, climate, and terrestrial productivity over the response ratio. The relative contribution of autochthonous was higher in lotic systems. In lentic systems, increasing terrestrial productivity increased the relative contribution of autochthonous OM, while increasing precipitation and temperature seasonality reduced this relative contribution. We suggested that factors increasing terrestrial productivity might also boost autochthonous OM in these systems, while precipitation increases the transport of allochthonous OM to freshwater habitats. We did not find any relationship between environmental factors and the relative contribution of autochthonous OM for lotic systems. We concluded that the relative contribution of allochthonous and autochthonous energy sources to freshwater food webs differs between lotic and lentic ecosystems and it is dependent on multiple environmental factors.</p>
Test sets and results for paper 'Rapid localization of gravitational wave sources from compact binary coalescences using deep learning'
<p>This folder contains the input data (signal-to-noise ratio time series for gravitational wave detections) and results (sky localization areas) obtained from the deep learning based sky localization model 'GW-SkyLocator', and the rapid online gravitational wave sky localization tool 'BAYESTAR' on a set of injections of gravitational wave signals from compact binary mergers.</p> <p>For details of the work, please refer to the paper, 'Rapid localization of gravitational wave sources from compact binary coalescences using deep learning' (https://arxiv.org/abs/2207.14522).</p>
Global and local drivers of the relative importance of allochthonous and autochthonous energy sources to freshwater food webs
Open the record for dataset details and reuse information.
Source data for: Presynaptic NMDARs cooperate with local spikes toward GABA release from the reciprocal olfactory bulb granule cell spine
Open the record for dataset details and reuse information.
Technical note: Refining δ15N isotopic fingerprints of local NOx for accurate source identification of nitrate in PM2.5
<p>Data</p>
Data for "Mars' hourglass landforms as local source-to-sink fluvial systems"
Open the record for dataset details and reuse information.
Audio-visual sound source localization and separation
<p>CVPR 2021 tutorial</p>
Data from: No effect of seed source on multiple aspects of ecosystem functioning during ecological restoration: cultivars compared to local ecotypes of dominant grasses
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Specific fibroblast subpopulations and neuronal structures serve as local sources of Vegfc-processing components during lymphangiogenesis
GEO Series GSE146923. Danio rerio. 1109 samples. Type: Expression profiling by high throughput sequencing.
Added Value of Automated Electrical Source Localization (EPILOG PreOp®) to Presurgical Evaluation of Refractory Epilepsy
ClinicalTrials.gov study NCT03882151. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A dynamic pattern of local auxin sources is required for root regeneration
GEO Series GSE145488. Arabidopsis thaliana. 18 samples. Type: Expression profiling by high throughput sequencing.
Local source of FGF8 specifies a fronto-temporal axis in engineered human brain organoids (PolarOids)
GEO Series GSE175592. Homo sapiens. 21 samples. Type: Expression profiling by high throughput sequencing.
APPENDIX Individuals included in the genetic and/or skull morphology analyses are presented with source and locality information (reference to sites in Fig. 1 are given in parentheses when available). Voucher numbers are provided for individuals that were collected: AMNH — American Museum of Natural History, New York, NY, USA, BMNH — Natural History Museum, London, UK, FMNH — Field Museum, Chicago, IL, USA, HZM — Harrison Zoological Museum, Kent, UK, MCZ — Museum of Comparative Zoology, Harvard, MA, USA, MZB — Muzeum Zoologicum Bogoriense, Bogor, Indonesia, RMNH — National Museum of Natural History Naturalis, Leiden, Netherlands, SEN — Senckenberg Museum, Frankfurt, Germany, TK — tissue collection and TTU — specimen numbers; Texas Tech. University, Lubbock, TX, USA, and USNM — Smithsonian Institute, Washington D.C., USA. All specimens from peninsular Malaysia with THK or MBCRU field numbers were collected by A. Zubaid, and the specimens or duplicate wing punches were deposited at UKM (Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia). The original taxonomy of type specimens (type) are listed. Haplotypes (Hap) are given for individuals of H. bicolor (=H. bicolor-131) and H. kunzi (=H. bicolor-142). GenBank accession numbers are given for one representative of each unique haplotype in A new species in the Hipposideros bicolor group (Chiroptera: Hipposideridae) from Peninsular Malaysia
APPENDIX Individuals included in the genetic and/or skull morphology analyses are presented with source and locality information (reference to sites in Fig. 1 are given in parentheses when available). Voucher numbers are provided for individuals that were collected: AMNH — American Museum of Natural History, New York, NY, USA, BMNH — Natural History Museum, London, UK, FMNH — Field Museum, Chicago, IL, USA, HZM — Harrison Zoological Museum, Kent, UK, MCZ — Museum of Comparative Zoology, Harvard, MA, USA, MZB — Muzeum Zoologicum Bogoriense, Bogor, Indonesia, RMNH — National Museum of Natural History Naturalis, Leiden, Netherlands, SEN — Senckenberg Museum, Frankfurt, Germany, TK — tissue collection and TTU — specimen numbers; Texas Tech. University, Lubbock, TX, USA, and USNM — Smithsonian Institute, Washington D.C., USA. All specimens from peninsular Malaysia with THK or MBCRU field numbers were collected by A. Zubaid, and the specimens or duplicate wing punches were deposited at UKM (Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia). The original taxonomy of type specimens (type) are listed. Haplotypes (Hap) are given for individuals of H. bicolor (=H. bicolor-131) and H. kunzi (=H. bicolor-142). GenBank accession numbers are given for one representative of each unique haplotype
Assessing and Amplifying Parent Support for Locally Sourced Produce in Barbados
ClinicalTrials.gov study NCT05611320. IPD Sharing: Not stated. Countries: 0. Publications: 0.
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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.