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Dataset results
15 results for “Event Understanding”
EDUCATE: The MEDTRONIC Endeavor Drug Eluting Stenting: Understanding Care, Antiplatelet Agents and Thrombotic Events
ClinicalTrials.gov study NCT01069003. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Duration vs severity: Understanding invertebrate herbivory under varying warming events
Open the record for dataset details and reuse information.
Data from: Surviving drought: a framework for understanding animal responses to small rain events in the arid-zone
Large rain events drive dramatic resource pulses and the complex pulse-reserve dynamics of arid ecosystem changes between high-rain years and drought. However, arid-zone animal responses to short-term changes in climate are unknown, particularly smaller rain events that briefly interrupt longer-term drought. Using arthropods as model animals, we determined the effects of a small rain event on arthropod abundance in western NSW, Australia during a longer-term shift towards drought. Arthropod abundance decreased over two years, but captures of ten out of fifteen ordinal groups increased dramatically after the small rain event (<40mm). The magnitude of increases ranged from 10.4 million% (collembolans) to 81% (spiders). After three months, most groups returned to pre-rain abundance. However, small soil-dwelling beetles, mites, spiders, and collembolans retained high abundances despite the onset of winter temperatures and lack of subsequent rain. As predicted by pulse-reserve models, most arid-zone arthropod populations declined during drought. However, small rain events may play a role in buffering some groups from declines during longer-term drought or other xenobiotic influences. We outline the framework for a new model of animal responses to environmental conditions in the arid zone, as some species clearly benefit from rain inputs that do not dramatically influence primary productivity.
Supporting datasets for the article Using rare event algorithms to understand the statistics and dynamics of extreme heatwave seasons in South Asia
<h3>Supporting datasets for the article<em><strong> Using rare event algorithms to understand the statistics and dynamics of extreme heatwave seasons in South Asia, </strong></em>submitted to <em>Environmental Research: Climate</em></h3> <p> </p> <p>The dataset contains all intermediate data used for the article. The raw outputs of the model may be available upon reasonable request to clement.lpr@gmail.com</p> <p>The climate model Plasim can be downloaded, together with its documentation, from the webpage of the « Theoretische Meteorologie » group at the University of Hamburg: <a href="https://www.mi.uni-hamburg.de/en/arbeitsgruppen/theoretische-meteorologie/modelle/plasim.html">https://www.mi.uni-hamburg.de/en/arbeitsgruppen/theoretische-meteorologie/modelle/plasim.html</a></p> <p>The three jupyter notebooks <a href="../api/records/10888194/draft/files/Figures_article_archive.ipynb/content" target="_blank" rel="noopener noreferrer">Figures_article_archive.ipynb</a>, <a href="../api/records/10888194/draft/files/Zg500_maps_article_archive.ipynb/content" target="_blank" rel="noopener noreferrer">Zg500_maps_article_archive.ipynb</a>, <a href="../api/records/10888194/draft/files/Correlation_maps_3days_ERA5_Plasim_archive.ipynb/content" target="_blank" rel="noopener noreferrer">Correlation_maps_3days_ERA5_Plasim_archive.ipynb</a> contain the analysis and code used to produce the figures in the article.</p> <p><strong><a href="../api/records/10888194/draft/files/pyscripts.tar/content" target="_blank" rel="noopener noreferrer">pyscripts.tar</a> </strong>contains 4 python utilities, <em>data_proceeding_module.py, plot_routines.py, subseasonal_stats_utilities.py, utilities_REA_analysis.py </em>that are imported by the notebooks.</p>
Figure 3 in Using 3D geometric morphometrics to aid taxonomic and ecological understanding of a recent speciation event within a small Australian marsupial (Antechinus: Dasyuridae)
Figure 3. Pairwise comparisons between mean shapes of each clade (Antechinus stuartii south vs. A. stuartii north, P = 0.003; A. stuartii north vs. A. subtropicus, P = 0.003; A. stuartii south vs. A. subtropicus, P = 0.003; all p-values were adjusted with following the Bonferroni method). The 3D images are the specimen closest to the overall mean warped correspondingly to the mean shapes of each clade. Tukey post-hoc analyses of linear measurements after size correction were performed; significance levels (*P <0.05, **P <0.01, ***P <0.001) are shown in the boxplots. For each comparison, we have labelled the best differentiator diagnostic; i.e. the size of the major palatine foramina (mapf) for differentiating A. stuartii south and A. stuartii north, the size of the incisive foramina (inf) for differentiating A. stuartii north and A. subtropicus, and the interpalatal distance (intp) for differentiating between the three clades. Clades are consistently labelled as per Figure 1.
Figure 1 in Using 3D geometric morphometrics to aid taxonomic and ecological understanding of a recent speciation event within a small Australian marsupial (Antechinus: Dasyuridae)
Figure 1. Distribution map of the specimens used for this study. Labelled are Antechinus stuartii south, A. stuartii north, A. subtropicus, specimens of unknown identity within the A. stuartii–A. subtropicus species complex, the holotype of A. subtropicus and the neotype of A. stuartii. All figures in this paper are labelled: A. stuartii south in orange, A. stuartii north in pink and A. subtropicus in green. The phylogeny is adapted from Mutton et al. (2019).
Figure 2. A in Using 3D geometric morphometrics to aid taxonomic and ecological understanding of a recent speciation event within a small Australian marsupial (Antechinus: Dasyuridae)
Figure 2. A, box plot and dot plot of centroid size labelling each clade as per Figure 1. Centroid size differences were clear only between the larger Antechinus subtropicus and the smaller A. stuartii (both mean comparisons between A. subtropicus and the two clades of A. stuartii were significant; P = 0.003), but not between A. stuartii south and A. stuartii north (P = 0.282). B, allometry plot consisting of centroid sizes versus shape scores obtained from the regression of shape on size (Drake & Klingenberg, 2008).
Understanding and Predicting Breast Cancer Events After Treatment
ClinicalTrials.gov study NCT02791581. IPD Sharing: YES. Countries: 1. Publications: 4.
Data from: Surviving drought: a framework for understanding animal responses to small rain events in the arid-zone
Open the record for dataset details and reuse information.
On the Understandability of Temporal Properties Formalized in Linear Temporal Logic, Property Specification Patterns and Event Processing Language
<p>Experimental material & data</p>
Understanding CARdiac Events in Breast Cancer
ClinicalTrials.gov study NCT05921279. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Identifying and Understanding Risk Factors for Instability and Adverse Events Associated With Chest Physiotherapy in Ventilated Children
ClinicalTrials.gov study NCT04146753. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Understanding and Anticipating Therapeutic Response And Immuno-meDIated Adverse Events in Anti-cancer Immune-checkpoint Inhibition: a Tissue Biopsy Based imaGing Study
ClinicalTrials.gov study NCT05921123. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Molecular Evaluation of AML Patients After Stem Cell Transplant to Understand Relapse Events
ClinicalTrials.gov study NCT05224661. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Understanding the molecular events underpinning cultivar differences in physiological performance and heat tolerance
GEO Series GSE41725. Gossypium barbadense; Gossypium raimondii; Gossypium hirsutum; Gossypium arboreum. 12 samples. Type: Expression profiling by array.
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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.