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Dataset results
2,107 results for “Spectrum”
High-Resolution Sporadic E Layer Observation Based on Ionosonde using a Cross-Spectrum Analysis Imaging Technique
<p>The package includes the data used in Figures 1 to 6 in the paper “High-Resolution Sporadic E Layer Observation Based on Ionosonde using a Cross-Spectrum Analysis Imaging Technique".</p> <p>Since the raw data of the ionosonde is quite large and difficult to upload, the echo data of the Es layer after high-resolution imaging processing is packed together and uploaded here.</p> <p>All data can be imported and viewed directly by MATLAB with the function of "imagesc".</p> <p>Due to internal delay, the actual range should be obtained by subtracting 5 range bins.</p>
Species of fast bulk-soil nutrient cycling have lower rhizosphere effects: A nutrient spectrum of rhizosphere effects
<p>Tree roots not only acquire readily-usable soil nutrients but also affect microbial decomposition and manipulate nutrient availability in their surrounding soils, i.e., rhizosphere effects (REs). Thus, REs challenge the basic understanding how plants adapt to environment and co-exist with other species. Yet, how REs vary among species in response to species-specific bulk soil nutrient cycling is not well-known. Here we studied how plant-controlled microbial decomposition activities in rhizosphere soils respond to those in their corresponding bulk soils and whether these relations depend on species-specific nutrient cycling in the bulk soils. We targeted 55 woody species of different clades and mycorrhizal types in three contrasting biomes, namely a temperate forest, a subtropical forest and a tropical forest. We found that microbial decomposition activities in rhizosphere soils responded linearly to those in their corresponding bulk soils at the species level. Thereafter, we found that REs (parameters in rhizosphere soils minus those in corresponding bulk soils) of microbial decomposition activities had negative linear correlations with microbial decomposition activities in corresponding bulk soils. A multiple factor analysis revealed that soil organic carbon, total nitrogen and soil water content favored bulk soil decomposition activities in all three biomes, showing that the magnitude of REs varied along a fast-slow nutrient cycling spectrum in bulk soils. The species of fast nutrient cycling in their bulk soils tended to have smaller or even negative REs. Therefore, woody plants commonly utilize both positive and negative REs as a nutrient-acquisition strategy. Based on the trade-offs between REs and other nutrient-acquisition strategies, we proposed a push and pull conceptual model which can bring plant nutrient-acquisition cost and plant carbon economics spectrum together in the future. This model will facilitate not only the carbon and nutrient cycling but also the mechanisms of species co-existence in forest ecosystems.</p>
Data for "Noise-correlation spectrum for a pair of spin qubits in silicon"
<p>This dataset contains the data files for "Noise-correlation spectrum for a pair of spin qubits in silicon".</p>
Clinically used broad-spectrum antibiotics compromise inflammatory monocyte-dependent antibacterial defense in the lung
<p>Code and data for the preprint "Clinically used broad-spectrum antibiotics compromise inflammatory monocyte-dependent antibacterial defense in the lung". </p> <p><strong>Metagenomic analysis</strong> </p> <p>- uses `<a href="https://github.com/ropensci/targets">targets</a>` (workflow manager) and `<a href="https://github.com/rstudio/renv">renv</a>` (environment manager) R packages. </p> <p>- calling `targets::tar_make()`, once the environment is configured using renv and a separate project has been created (with the exact file structure including the data), should run the entire pipeline, creating a _targets folder with all the .rds files </p> <p>- independent objects can be explored using `targets::tar_load(obj)` or `targets::tar_read(plot)` </p> <p><a href="https://books.ropensci.org/targets/">Targets user manual </a>for more information. Preprocessing/QC scripts can be provided upon reasonable request. </p> <p> </p>
Dataset for "Strong ortho/para effects in the vibrational spectrum of Cl-(H2)"
<p>Dataset for "Strong ortho/para effects in the vibrational spectrum of Cl-(H2)"</p>
A practical guide to loss measurements using the Fourier transform of the transmission spectrum
<p>Datasets of the simulations and measurements presented in the publication</p>
Baseline EEG in the first year of life: insights into the development of autism spectrum disorder and language impairments
<p>The dataset includes power values obtained from baseline EEG recorded in infants. Specifically, for each infant the Power Spectral Density (PSD) was estimated for epochs of 30 s (at least 2 epochs) using the Welch’s method (Hamming window of 10s with 50% overlap) and successively log transformed as follow: log PSD = log10(1+PSD). The power in the following bands was computed: delta (2-4 Hz), theta (4-6 Hz), low-alpha (6-9-Hz), high-alpha (9-13 Hz), beta (13-30 Hz) and gamma (30-45 Hz). Two clusters of 6 frontal electrodes were selected (frontal left cluster and frontal right cluster) and power values were then averaged across electrodes within each cluster. Thus, the database contains for each subjects and frequency band two values of power one related to the frontal left cluster and the other one related to frontal right cluster.</p> <p>Each raw in the database corresponds to a subject and each column to a different variable.</p> <p>Column A, Subject code;</p> <p>Column B, Group: 0 = typically developing (TD) infant; 1 = infant higher likelihood of developing language and learning impairments (HL-LLI); 2 = infant at higher likelihood of developing autism spectrum disorder (HL-ASD);</p> <p>Column C, Diagnosis_group: 0 = children from the original TD group (without familiarity for neither ASD nor LLI) who at 3 years of age scored above the 30th percentile in the parent-administered Language Development Survey (LDS) (Rescorla and Alley, 2001); 1 = children diagnosed with Developmental Language Disorders/Developmental Dyslexia (DLD/DD); 2 = children diagnosed with ASD;</p> <p>Column D, Time_point: 1 = data related to the EEG recording performed at six months of age; 2 = data related to the EEG recording performed at twelve months of age;</p> <p>Columns from E to P: power values obtained in the frontal left (F_sx) and right (F_dx) clusters for each frequency band.</p> <p>All details about subjects, groups, data acquisition and preprocessing are available in the following manuscript: Piazza, C., Dondena, C., Riboldi, E. M., Riva, V., & Cantiani, C. (2023). Baseline EEG in the first year of life: Preliminary insights into the development of autism spectrum disorder and language impairments. <em>iScience</em>, <em>26</em>(7).</p> <p>Matlab .m files related to the preprocessing steps and the power value extraction are also available.</p>
Ayres Sensory Integration Therapy on Occupational Performance in Children With Autism Spectrum Disorder
ClinicalTrials.gov study NCT05718362. IPD Sharing: NO. Countries: 1. Publications: 1.
Treatment With Acetyl-Choline Esterase Inhibitors in Children With Autism Spectrum Disorders
ClinicalTrials.gov study NCT01098383. IPD Sharing: Not stated. Countries: 1. Publications: 2.
A Study Looking at How Well Children With Autism Spectrum Disorder on Medications Like Having More Protein
ClinicalTrials.gov study NCT03708614. IPD Sharing: NO. Countries: 1. Publications: 6.
Testing a Novel Speech Intervention in Minimally Verbal Children With Autism Spectrum Disorder (ASD)
ClinicalTrials.gov study NCT03015272. IPD Sharing: YES. Countries: 1. Publications: 6.
Equine-assisted Therapy for Therapy-resistant Adolescents With Autism Spectrum Disorders, a Replicated AB-design
ClinicalTrials.gov study NCT05200351. IPD Sharing: NO. Countries: 1. Publications: 2.
Social Skills Group Training ("KONTAKT") for Children and Adolescent With High-functioning Autism Spectrum Disorders
ClinicalTrials.gov study NCT01854346. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Home-based Transcranial Direct Current Stimulation (tDCS) to Promote Social Communication and Behaviour in Children With Autism Spectrum Disorder (ASD)
ClinicalTrials.gov study NCT06129058. IPD Sharing: NO. Countries: 1. Publications: 1.
Use of an Adaptive Sensory Environment in Autism Spectrum Disorder (ASD) Patients in the Perioperative Environment
ClinicalTrials.gov study NCT04994613. IPD Sharing: NO. Countries: 1. Publications: 13.
Clinical Patterns of Neuromyelitis Optica Spectrum Disorders in Assiut University Hospital
ClinicalTrials.gov study NCT03819413. IPD Sharing: UNDECIDED. Countries: 1. Publications: 7.
Risk Factors for Occurrence of Placenta Accrete Spectrum Following Primary Cesarean Delivery
ClinicalTrials.gov study NCT04264169. IPD Sharing: NO. Countries: 1. Publications: 1.
Gluten for Autism Spectrum Disorders
ClinicalTrials.gov study NCT02280746. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Autologous Bone Marrow Stem Cells for Children With Autism Spectrum Disorders
ClinicalTrials.gov study NCT01740869. IPD Sharing: NO. Countries: 1. Publications: 10.
Affective Prosody Recognition and Auditory Intervention for Children With Autism Spectrum Disorders (ASD)
ClinicalTrials.gov study NCT04427150. IPD Sharing: YES. Countries: 1. Publications: 33.
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.