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2,107 results for “Spectrum”
Supplementary data for "Critically Evaluated Atomic Data for Au IV Spectrum"
<p>Transition data for computing opacity of Au IV in the kilonova ejecta have been provided. These files are a part of the article, "Critically Evaluated Atomic Data for Au IV Spectrum" submitted to ApJS journal. The files named as "Au4_Levels_Opacity.txt" and "Au4_Lin_Opacity.txt" describe the energy levels of Au IV spectrum and its radiative line parameters for E1-type of transitions, respectively.</p>
Molecular epidemiology and risk factors for extended-spectrum β-lactamase-producing Enterobacterales in long-term care residents
<div class="abstract-content selected"> <p><strong class="sub-title"> Objectives: </strong> We aimed to assess the burden of extended-spectrum β-lactamase (ESBL)-producing Enterobacterales in Swiss long-term care facilities (LTCFs) to describe the molecular epidemiology, describe the intra-institutional and regional clusters of resistant pathogens, and identify independent institution- and resident-level factors associated with colonization.</p> <p><strong class="sub-title"> Design: </strong> Cross-sectional study.</p> <p><strong class="sub-title"> Setting and participants: </strong> From August to October 2019, we performed a point prevalence study among residents from 16 LTCFs in Western and Eastern Switzerland (8 per region).</p> <p><strong class="sub-title"> Methods: </strong> Residents underwent screening for ESBL-producing Enterobacterales (ESBL-E); whole-genome sequencing (WGS) was performed. We gathered institution-level (eg, number of beds, staff-resident ratio, alcoholic hand rub consumption) and resident-level [eg, anthropometric data, time in facility, dependency, health care exposure, antibiotic treatment, proton-pump inhibitor (PPI) use] characteristics. Factors associated with colonization were identified using a generalized linear model.</p> <p><strong class="sub-title"> Results: </strong> Among 1185 eligible residents, 606 (51%) consented to the study. ESBL-E prevalence was 11.6% (70/606), ranging from 1.9% to 33.3% between institutions, with a median of 12.5% in the West and 6.9% in the East (P = .03). Among 59 <em>Escherichia</em> <em>coli</em> (from 58 residents), multilocus sequence type (ST) 131 was most common (n = 43/59, 73%), predominantly its subclone H30R1 (n = 37/43, 86%). WGS data identified multiple intra-institutional and regional clusters. Independent risk factors for ESBL carriage were previous ESBL colonization [adjusted odds ratio (aOR) 23.5, 95% confidence interval (CI) 6.6–83.8, P < .001), male gender (aOR 2.6, 95% CI 1.5–4.6, P = .002), and use of PPIs (aOR 2.2, 95% CI 1.2–3.8, P = .01).</p> <p><strong class="sub-title"> Conclusions and implications: </strong> Overall ESBL-E prevalence in Swiss LTCF residents is low. Yet, we identified several clusters of residents with identical pathogens within the same institution. This implies that particularly affected institutions might benefit from targeted infection control interventions. PPI use was the only modifiable factor associated with carriage of ESBL producers. This study adds to the growing list of adverse outcomes associated with PPIs, calling for action to restrict their use in the long-term care setting.</p> </div>
Turbulent dissipation rate and velocity spectrum at two radar wind profiler sites in North China
<p>This dataset includes the monthly mean velocity spectrum width and turbulence dissipation rate from 0900 local standard time (LST) to 1700 LST in 2021, which are retrieved from the radar wind profiler measurements at Baoding (urban) and Zhangbei (plateau) stations. Each data file is stored in xlsx format and contains two sheets, and each sheet is a two-dimensional data, including velocity spectrum width and turbulence dissipation rate. These two variables are stored in a matrix of 30 rows and 9 columns. The row refers to the height at an interval of 120 meters, and the columns refers to time which corresponds to 0900 to 1700 LST. </p>
Global prevalence of autism spectrum disorder
<p>The diagram show the global autism spectrum disorder</p>
Products and Models for "A broadband thermal emission spectrum of the ultra-hot Jupiter WASP-18b"
<p>Close-in giant exoplanets with temperatures greater than 2,000 K (“ultra-hot Jupiters”) have been the subject of extensive efforts to determine their atmospheric properties using thermal emission measurements from the Hubble and Spitzer Space Telescopes1–3. However, previous studies have yielded inconsistent results because the small sizes of the spectral features and the limited information content of the data resulted in high sensitivity to the varying assumptions made in the treatment of instrument systematics and the atmospheric retrieval analysis3–12. Here we present a dayside thermal emission spectrum of the ultra-hot Jupiter WASP-18b obtained with the NIRISS13 instrument on JWST. The data span 0.85 to 2.85 μm in wavelength at an average resolving power of 400 and exhibit minimal systematics. The spectrum shows three water emission features (at <6σ confidence) and evidence for optical opacity, possibly due to H-, TiO, and VO (combined significance of 3.8σ). Models that fit the data require a thermal inversion, molecular dissociation as predicted by chemical equilibrium, a solar heavy-element abundance (“metallicity”, M/H = 1.03-0.51+1.11 x solar), and a carbon-to-oxygen (C/O) ratio less than unity. The data also yield a dayside brightness temperature map, which shows a peak in temperature near the sub-stellar point that decreases steeply and symmetrically with longitude toward the terminators.</p>
The amplitute spectrum dataset of CSELF stations
<p>The zip file contains ten folders corresponding to ten CSELF stations.The amplitute spectrum data was stored day by day.File name contains station name, date and component information.In each file, two columns of data are included, the first for frequency values and the second for spectral values</p> <p> </p>
[Dataset] Difference spectrum fitting of the ion-neutral collision frequency from dual-frequency EISCAT measurements
<p>Dataset used for "Difference spectrum fitting of the ion-neutral collision frequency from dual-frequency EISCAT measurements"</p>
AsdKB: A Chinese Knowledge Base for the Early Screening and Diagnosis of Autism Spectrum Disorder
<p><strong>Instance</strong></p> <ul> <li>Instance triples</li> </ul> <p><strong>Mapping</strong></p> <ul> <li>mapping.owl: ontology mapping to UMLS and ADAR</li> </ul> <p><strong>Ontology</strong></p> <ul> <li>ontology.owl: AsdKB ontology</li> </ul> <p><strong>For more details, please refer to <a href="https://github.com/SilenceSnake/ASDKB">http://w3id.org/asdkb</a></strong></p>
Figure 3 in Description of the bioluminescent emission spectrum of Bicellonycha amoena Gorham, 1880 (Coleoptera: Lampyridae) in Guatemala
Figure 3. Bioluminescence emission spectrum of B. amoena. A) SS population. B) MGC population.
Figure 2 in Description of the bioluminescent emission spectrum of Bicellonycha amoena Gorham, 1880 (Coleoptera: Lampyridae) in Guatemala
Figure 2. Sampling locations for both populations of B. amoena in Guatemala and Sacatepéquez.
Test-time training for deep MS/MS spectrum prediction improves peptide identification
<p>In bottom-up proteomics, peptide-spectrum matching is critical for peptide and protein identification. Recently, deep learning models have been used to predict tandem mass spectra of peptides, with the similarity scores of predicted and experimental spectra being integrated into peptide-spectrum matching. These models follow the supervised learning paradigm, which trains a general model using paired peptides and spectra from standard datasets and uses the model for prediction on experimental data. However, this approach can lead to inaccurate predictions due to differences between the training data and the experimental data, such as sample types, enzyme specificity, and instrument calibration. To address this issue, we proposed a Test-Time Training paradigm that adapts the pre-trained model to experimental data-specific models, namely PepT3. PepT3 results in a 10-40\% increase in peptide identification, depending on the distinctness of training and experimental data. Intriguingly, PepT3 improves the identification of tumor-specific neo-epitopes when applied to a complex patient-derived immunopeptidomic sample, with two-thirds of these neo-epitopes predicted to bind to the patient's human leukocyte antigen isoforms</p>
JWST MIRI channel1 spectrum of d203-506
<p>This is the JWST MIRI channel1 spectrum of d203-506 protoplanetary disk (ON and OFF position). The data are described in Berné et al. Nature 2023. </p>
Development of a Resiliency Training Program for Parents of Children With Autism Spectrum Disorder
ClinicalTrials.gov study NCT02995408. IPD Sharing: NO. Countries: 1. Publications: 1.
Intranasal Oxytocin for the Treatment of Autism Spectrum Disorders
ClinicalTrials.gov study NCT01337687. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Study of Miransertib (MK-7075) in Participants With PIK3CA-related Overgrowth Spectrum and Proteus Syndrome (MOSAIC) (MK-7075-002)
ClinicalTrials.gov study NCT03094832. IPD Sharing: YES. Countries: 4. Publications: 2.
Efficacy and Safety of Bumetanide Oral Liquid Formulation in Children Aged From 2 to Less Than 7 Years Old With Autism Spectrum Disorder.
ClinicalTrials.gov study NCT03715153. IPD Sharing: YES. Countries: 12. Publications: 2.
N-Acetyl-Cysteine (NAC) in Early Phase Schizophrenia Spectrum Psychosis
ClinicalTrials.gov study NCT01354132. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Improving Dental Care and Oral Health in Children With Autism Spectrum Disorder
ClinicalTrials.gov study NCT03003221. IPD Sharing: NO. Countries: 1. Publications: 1.
The EarLens Contact Hearing Device (CHD) Spectrum Study
ClinicalTrials.gov study NCT02470494. IPD Sharing: NO. Countries: 1. Publications: 1.
Cognitive-Behavioral Treatment for Anxiety Disorders in Children With Autism Spectrum Disorders
ClinicalTrials.gov study NCT01178385. 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.