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189
datasets available to search
ShareScore release 0.9.0
Dataset results
189 results for “WISE”
WISE Cortical Strip for Intraoperative Neurophysiological Monitoring
ClinicalTrials.gov study NCT03731455. IPD Sharing: NO. Countries: 3. Publications: 4.
Wise Social Psychological Interventions to Improve Outcomes of Behavioral Weight Control in Children With Obesity
ClinicalTrials.gov study NCT04422951. IPD Sharing: YES. Countries: 1. Publications: 0.
WISE ARIC: Retinal Photography in Women With Chest Pain
ClinicalTrials.gov study NCT00187954. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Wise Mind: Environmental Approach for Obesity Prevention
ClinicalTrials.gov study NCT00065039. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Women's Ischemia Syndrome Evaluation (WISE) Coronary Vascular Dysfunction
ClinicalTrials.gov study NCT00832702. IPD Sharing: YES. Countries: 1. Publications: 6.
Wise Choices in the Intensive Care Unit
ClinicalTrials.gov study NCT07013175. IPD Sharing: NO. Countries: 1. Publications: 7.
Supporting Parents to Choose Wisely
ClinicalTrials.gov study NCT06005337. IPD Sharing: NO. Countries: 1. Publications: 18.
Data from: Light enough to travel or wise enough to stay? Brain size evolution and migratory behaviour in birds
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Data from: Analysis of four-band WISE observations of asteroids
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IO Islamic 1579. Tarjuma-i-Ta'rîkh-alḥukamâ, A Persian Paraphrase of Maulânâ Shams-aldîn Muḥammad Suhrawardî's Biographies of Ancient Philosophers and Wise Men
<p>IO Islamic 1579. Tarjuma-i-Ta’rîkh-alḥukamâ, A Persian Paraphrase of Maulânâ Shams-aldîn Muḥammad Suhrawardî’s Biographies of Ancient Philosophers and Wise Men</p>
IO Islamic 1423. Tarjuma-i-Ta'rîkh-alḥukamâ, A Persian Paraphrase of Maulânâ Shams-aldîn Muḥammad Suhrawardî's Biographies of Ancient Philosophers and Wise Men
<p>IO Islamic 1423. Tarjuma-i-Ta’rîkh-alḥukamâ, A Persian Paraphrase of Maulânâ Shams-aldîn Muḥammad Suhrawardî’s Biographies of Ancient Philosophers and Wise Men</p>
IO Islamic 063. Tarjuma-i-Ta'rîkh-alḥukamâ, A Persian Paraphrase of Maulânâ Shams-aldîn Muḥammad Suhrawardî's Biographies of Ancient Philosophers and Wise Men
<p>IO Islamic 063. Tarjuma-i-Ta’rîkh-alḥukamâ, A Persian Paraphrase of Maulânâ Shams-aldîn Muḥammad Suhrawardî’s Biographies of Ancient Philosophers and Wise Men</p>
Data from: The relative importance of modeling site pattern heterogeneity versus partition-wise heterotachy in phylogenomic inference
Large taxa-rich genome-scale data sets are often necessary for resolving ancient phylogenetic relationships. But accurate phylogenetic inference requires that they are analyzed with realistic models that account for the heterogeneity in substitution patterns amongst the sites, genes and lineages. Two kinds of adjustments are frequently used: models that account for heterogeneity in amino acid frequencies at sites in proteins, and partitioned models that accommodate the heterogeneity in rates (branch lengths) among different proteins in different lineages (protein-wise heterotachy). Although partitioned and site-heterogeneous models are both widely used in isolation, their relative importance to the inference of correct phylogenies has not been carefully evaluated. We conducted several empirical analyses and a large set of simulations to compare the relative performances of partitioned models, site-heterogeneous models and combined partitioned site heterogeneous models. In general, site-homogeneous models (partitioned or not) performed worse than site heterogeneous, except in simulations with extreme protein-wise heterotachy. Furthermore, simulations using empirically-derived realistic parameter settings showed a marked long-branch attraction (LBA) problem for analyses employing protein-wise partitioning even when the generating model included partitioning. This LBA problem results from a small sample bias compounded over many single protein alignments. In some cases, this problem was ameliorated by clustering similarly-evolving proteins together into larger partitions using the PartitionFinder method. Similar results were obtained under simulations with larger numbers of taxa or heterogeneity in simulating topologies over genes. For an empirical Microsporidia test data set, all but one tested site-heterogeneous models (with or without partitioning) obtain the correct Microsporidia+Fungi grouping, whereas site-homogenous models (with or without partitioning) did not. The single exception was the fully partitioned site-heterogeneous analysis that succumbed to the compounded small sample LBA bias. In general unless protein-wise heterotachy effects are extreme, it is more important to model site-heterogeneity than protein-wise heterotachy in phylogenomic analyses. Complete protein-wise partitioning should be avoided as it can lead to a serious LBA bias. In cases of extreme protein-wise heterotachy, approaches that cluster similarly-evolving proteins together and coupled with site-heterogeneous models work well for phylogenetic estimation.
Data from: Step-wise evolution of complex chemical defenses in millipedes: a phylogenomic approach
With fossil representatives from the Silurian capable of respiring atmospheric oxygen, millipedes are among the oldest terrestrial animals, and likely the first to acquire diverse and complex chemical defenses against predators. Exploring the origin of complex adaptive traits is critical for understanding the evolution of Earth's biological complexity, and chemical defense evolution serves as an ideal study system. The classic explanation for the evolution of complexity is by gradual increase from simple to complex, passing through intermediate "stepping stone" states. Here we present the first phylogenetic-based study of the evolution of complex chemical defenses in millipedes by generating the largest genomic-based phylogenetic dataset ever assembled for the group. Our phylogenomic results demonstrate that chemical complexity shows a clear pattern of escalation through time. New pathways are added in a stepwise pattern, leading to greater chemical complexity, independently in a number of derived lineages. This complexity gradually increased through time, leading to the advent of three distantly related chemically complex evolutionary lineages, each uniquely characteristic of each of the respective millipede groups.
SMART WATER RESOURCES WISE USE OF WATER RESOURCES
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IMPROVING THE MECHANISM OF WISE USE OF WATER RESOURCES IN THE REGION
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THE HISTORY OF "WISE WORDS" IN LINGUISTICS
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Table X: Population-wise trait data (mean, standard error and ranges) of A) 1st year plants, B) 2nd year spring phase plants and C) 2nd year monsoon phase plants
<p>Plants of <em>Anisomeles indica</em> are perennial woody shrubs that initiate their life cycle from seeds. The young plants emerging from seeds enter sexual phase immediately thereafter. After setting seeds, the plants do not die. Instead, following winters, their root stock perennates where after these plants follow spring and monsoon phases for the rest of their lives. Plants follow vegetative to blooming phenology step by step without showing any functional overlap in their reproductive phase. The spring phase of perennating plants on account of its brevity is unable to ensure sustainable reproductive output necessitating the monsoon phase. Parallelly, the seeds dispersed through these phases grow and follow the same strategy of sexual to spring to monsoon phases. This modified variant of iteroparity coupled with the advantages accrued to particular morphological characters such as increased plant height, numbers of tillers and inflorescences per plant, fruits per infructescence and seed weight per unit leaf area enhance its survival and reproductive fitness.</p>
GPCE_2022_Submission_17-Continuous_T-Wise_Coverage
<p>The results of evaluating continuous t-wise coverage.</p>
Figure 2 from: Maumet C, Nichols T (2017) Generating and reporting peak and cluster tables for voxel-wise inference in FSL. Research Ideas and Outcomes 3: e12368. https://doi.org/10.3897/rio.3.e12368
Figure 2 - Cluster and peak tables for p<0.05 FWE-corrected voxel-wise results (dataset "fsl_thr_voxelfwep05")
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.