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417
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ShareScore release 0.9.0
Dataset results
417 results for “IA”
SO2 UV Cross sections for ESA - SEOM - IAS from GSMA
<p>SO2 UV absorption cross sections at 296 K and different resolutions with the transmlittance spectra used to determne them.</p>
He-accreting carbon-oxygen white dwarfs and Type Ia supernovae
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2017MNRAS.472.1593W">He-accreting carbon-oxygen white dwarfs and Type Ia supernovae</a></p>
Data products for Unresolved lensed SNe Ia in LSST (arxiv: 2404.15389)
<p>This data release is a part of arxiv 2404.15389. If needed, the ipython notebooks to analyse these datasets are availble at <br><a href="https://github.com/deltasata/Unresolved_LSNeIa_in_LSST">https://github.com/deltasata/Unresolved_LSNeIa_in_LSST</a></p> <p>There are two zip files stemming from two directories.</p> <p><strong>1. unresolved_catalog: </strong>contains the catalogs of lensed type-Ia supernovae (LSNe Ia) -- all and unresolved ones, separately.<strong> </strong>The notebook at the following path can provides statistics of the unresolved systems (please place the notebook in the same directory).<br><a href="https://github.com/deltasata/Unresolved_LSNeIa_in_LSST/tree/main/unresolved_stat">https://github.com/deltasata/Unresolved_LSNeIa_in_LSST/tree/main/unresolved_stat</a></p> <p>There are two subdirectories: <br><strong>(i) catalog data:</strong> contains two catalogs - one listing all LSNe Ia expected over 10 effective years of LSST observations, and another specifically detailing the unresolved systems. See the "unresolved_catalog/catalog data/read_me.txt" for more details. There is also a subdirectory called "down_sampled_data" which contains details of the downsampled unresolved LSNe Ia systems. It is needed for running the ipython notebook.<br><strong>(ii) save_micro_mag_res:</strong> needed for running the ipython notebook.</p> <p><strong>2. build_blended_lc:</strong> contains necessary data files to create blended light curves for the unresolved systems. The subdirectory, "ML_downsampled_data" contains microlensed light curves for the downsampled unresolved LSNeIa. The file "Good_cadence_systems_fiveSigmaDepth_riyz.pkl" contains multi-band cadence distributions from the LSST baseline3.2 observing strategy.<br>The required codes are availble at:<br><a href="https://github.com/deltasata/Unresolved_LSNeIa_in_LSST/tree/main/build_blended_lc">https://github.com/deltasata/Unresolved_LSNeIa_in_LSST/tree/main/build_blended_lc</a><br>please put all the codes from the above in the same directory (build_blended_lc).</p> <p> </p> <h3>References:</h3> <ol> <li><a href="https://ui.adsabs.harvard.edu/abs/2024arXiv240415389B/abstract">Bag, S. et al 2024, arxiv:2404.15389</a></li> <li><a href="https://ui.adsabs.harvard.edu/abs/2010MNRAS.405.2579O/abstract">Oguri, M. & Marshall, P. J. 2010, MNRAS, 405, 2579</a></li> <li><a href="https://ui.adsabs.harvard.edu/abs/2018MNRAS.480.3842O/abstract">Oguri, M. 2018, MNRAS, 480, 3842</a></li> </ol>
IA en la medicina
<p>La inteligencia artificial en medicina es el <strong>uso de modelos de aprendizaje automático</strong> para buscar datos médicos y descubrir conocimientos que ayuden a mejorar los resultados de salud y las experiencias de los pacientes.</p>
Omnichanel, CRM e IA para integrar e fidelizar clientes de bancos públicos
<p>Video resumen de un artículo presentado en el VI Congreso Latinoamericano de Marketing Social en Brasil</p>
Supplementary material 2 from: {"en": "Gavrilov-Zimin IA (2021) Aberrant ontogeneses and life cycles in Paraneoptera. Comparative Cytogenetics 15(3): 253-277. https://doi.org/10.3897/compcytogen.v15.i3.70362"}
Supplementary material 2 from: {"en": "Gavrilov-Zimin IA (2021) Aberrant ontogeneses and life cycles in Paraneoptera. Comparative Cytogenetics 15(3): 253-277. https://doi.org/10.3897/compcytogen.v15.i3.70362"}
Supplementary material 1 from: {"en": "Gavrilov-Zimin IA (2021) Aberrant ontogeneses and life cycles in Paraneoptera. Comparative Cytogenetics 15(3): 253-277. https://doi.org/10.3897/compcytogen.v15.i3.70362"}
Supplementary material 1 from: {"en": "Gavrilov-Zimin IA (2021) Aberrant ontogeneses and life cycles in Paraneoptera. Comparative Cytogenetics 15(3): 253-277. https://doi.org/10.3897/compcytogen.v15.i3.70362"}
[Co III] versus Na I D in Type Ia supernova spectra
<p>Model spectra from <a href="https://ui.adsabs.harvard.edu/abs/2014MNRAS.439.3114D">Dessart et al. 2014, MNRAS, 439, 3114</a>. This also includes the input hydrodynamical model at 0.98 d past explosion.</p>
A one-dimensional Chandrasekhar-mass delayed-detonation model for the broad-lined Type Ia supernova 2002bo
<p>Multi-epoch spectra of model DDC15 used to confront to SN 2002bo observations from <a href="https://ui.adsabs.harvard.edu/abs/2015MNRAS.448.2766B">Blondin et al. 2015, MNRAS, 448, 2766</a>. This also includes the input hydrodynamical model at 0.98 d past explosion.<br> <br> The optical and NIR passbands used to compute <em>UBVRIJHK<sub>s</sub></em> magnitudes are also available.</p>
One-dimensional delayed-detonation models of Type Ia supernovae: Confrontation to observations at bolometric maximum
<p>Maximum-light spectra of the DDC model series from <a href="https://ui.adsabs.harvard.edu/abs/2013MNRAS.429.2127B">Blondin et al. 2013, MNRAS, 429, 2127</a>, as well as the hydro grid (velocity, density) and abundance profiles for <sup>56</sup>Ni, Ni, Si, and O within 20-60 s from explosion.<br> <br> The optical and NIR passbands used to compute <em>UBVRIJHK<sub>s</sub></em> magnitudes are also available.</p>
Constraints on the explosion mechanism and progenitors of Type Ia supernovae
<p>Model spectra from <a href="https://ui.adsabs.harvard.edu/abs/2014MNRAS.441..532D">Dessart et al. 2014, MNRAS, 441, 532</a>. This also includes the input hydrodynamical model at 0.98 d past explosion.</p>
Critical ingredients of Type Ia supernova radiative-transfer modelling
<p>Model spectra published in <a href="https://ui.adsabs.harvard.edu/abs/2014MNRAS.441.3249D">Dessart et al. 2014, MNRAS, 441, 3249</a>. This also includes the input hydrodynamical model at 0.98 d past explosion.</p>
Seasonal variation of population and individual dietary niche in the avivorous bat, Ia io
<p>The variation in niche breadth can affect how species respond to environmental and resource changes. However, there is still no clear understanding of how seasonal variability in food resources impacts the variation of individual dietary diversity, thereby affecting the dynamics of a population's dietary niche breadth. Optimal foraging theory (OFT) and the niche variation hypothesis (NVH) predict that when food resources are limited, the population niche breadth will widen or narrow due to increased within-individual dietary diversity and individual specialization or reduced within-individual dietary diversity, respectively. Here, we used DNA metabarcoding to examine the composition and seasonality of diets of the avivorous bat <em>Ia</em> <em>io</em>. Furthermore, we investigated how the dietary niches changed among seasons and how the population niche breadth changed when the availability of insect resources was reduced in autumn. We found that there was differentiation in dietary niches among seasons and a low degree of overlap, and the decrease of insect resource availability and the emergence of ecological opportunities of nocturnal migratory birds might drive dietary niche shifts toward birds in <em>I</em>. <em>io</em>. However, the population's dietary niche breadth did not broaden by increasing the within-individual dietary diversity or individual specialization but rather became narrower by reducing dietary diversity via predation on bird resources that served as an ecological opportunity when insect resources were scarce in autumn. Our findings were consistent with the predictions of OFT because birds as prey for bats provided extremely different resources from those of insects in size and nutritional value. Our work highlights the importance of size and quality of prey resources along with other factors (i.e., physiological, behavioral, and life-history traits) in dietary niche variation.</p>
Metadata for Sensitivity of Simulations of Double Detonation Type Ia Supernova to Integration Methodology
<p>inputs files, metadata, global diagnostics from runtime, and plot scripts for the suite of double detonation sub-Chandra SN Ia simulations from the paper "Sensitivity of Simulations of Double Detonation Type Ia Supernova to Integration<br> Methodology"</p>
Nebular spectra from Type Ia supernova explosion models compared to JWST observations of SN 2021aefx
<p>Hydrodynamical models and synthetic spectra from Blondin et al. (2023).</p>
Comparison Between Wedge Resection and Segmentectomy for Ground Glass Opacity- Dominant Stage IA NSCLC
ClinicalTrials.gov study NCT02718365. IPD Sharing: NO. Countries: 1. Publications: 5.
Myorelaxant Effect of Bee Venom(BV) Topical Skin Application in Patients With RDC/TMD Ia and Ib
ClinicalTrials.gov study NCT02101632. IPD Sharing: Not stated. Countries: 1. Publications: 6.
Improving Early Reperfusion With Adjuvant Dornase Alfa in Large Vessel Ischemic Stroke (EXTEND-IA DNase)
ClinicalTrials.gov study NCT05203224. IPD Sharing: YES. Countries: 1. Publications: 1.
Study of Long-Term Safety and Efficacy on Gene Therapy in Glycogen Storage Disease Type Ia
ClinicalTrials.gov study NCT03970278. IPD Sharing: NO. Countries: 4. Publications: 0.
Pharmacokinetics of IA and IV Ga68-PSMA-11 Infusion
ClinicalTrials.gov study NCT04976257. IPD Sharing: NO. Countries: 1. Publications: 2.
ScienceDex guides
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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.