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486 results for “Hierarchical”
Data from: Hierarchical multi-taxa models inform riparian vs. hydrologic restoration of urban streams in a permeable landscape
The degradation of streams caused by urbanization tends to follow predictable patterns; however, there is a growing appreciation for heterogeneity in stream response to urbanization due to the local geoclimatic context. Furthermore, there is building evidence that streams in mildly sloped, permeable landscapes respond uncharacteristically to urban stress calling for a more nuanced approach to restoration. We evaluated the relative influence of local-scale riparian characteristics and catchment-scale imperviousness on the macroinvertebrate assemblages of streams in the flat, permeable urban landscape of Perth, Western Australia. Using a hierarchical multi-taxa model, we predicted the outcomes of stylized stream restoration strategies to increase the riparian integrity at the local scale or decrease the influences of imperviousness at the catchment scale. In the urban streams of Perth, we show that local-scale riparian restoration can influence the structure of macroinvertebrate assemblages to a greater degree than managing the influences of catchment-scale imperviousness. We also observed an interaction between the effect of riparian integrity and imperviousness such that the effect of increased riparian integrity was enhanced at lower levels of catchment imperviousness. This study represents one of few conducted in flat, permeable landscapes and the first aimed at informing urban stream restoration in Perth, adding to the growing appreciation for heterogeneity of the Urban Stream Syndrome and its importance for urban stream restoration.
Data for Complementary benefits of multivariate and hierarchical models for identifying individual differences in cognitive control
<p>This repository contains data derivatives sufficient to generate all results and figures reported in the manuscript. The code to do so is contained in the linked GitHub repository, which is also stably archived on Zenodo.</p> <p>GitHub repo: <a href="https://github.com/mcfreund/trr">https://github.com/mcfreund/trr</a></p> <p>Stable archive for GitHub repo: <a href="https://doi.org/10.5281/zenodo.14048490">https://doi.org/10.5281/zenodo.14048490</a></p>
Dataset from Makino H. (2022). Arithmetic value representation for hierarchical behavior composition. Nature Neuroscience.
<p>Dataset from the paper:</p> <p>Makino H. (2022). Arithmetic value representation for hierarchical behavior composition. Nature Neuroscience.</p> <p>Each variable is described in Description.pdf.</p> <p>Analysis code is available at <a href="https://github.com/HiroshiMakinoLaboratory/Makino2022NatureNeuroscience">https://github.com/HiroshiMakinoLaboratory/Makino2022NatureNeuroscience</a>.</p>
Capturing the Hierarchically Assorted Modules of Protein Interaction in the Organized Nucleome
<p>The annotated MS2 spectrums of CBDPS crosslinked peptides derived from soybean nuclei.</p>
The nanoscale ordering of cellulose in a hierarchically structured hybrid material revealed using scanning electron diffraction
<p>Scanning Electron Diffraction data and Python Notebooks used for data analysis of cellulose nanofiber orientation in the cell walls of composite material, transparent wood. The notebooks can be used to create Figures 1c, 3a and 5d in publication "The nanoscale ordering of cellulose in a hierarchically structured hybrid material revealed using scanning electron diffraction".</p> <p> </p>
Morphology-Dependent Influences on the Performance of Battery Cells with a Hierarchically Structured Positive Electrode
<p><i>Raw data for the publication:</i></p><p><i> </i>NAUMANN, Johanna, et al. Morphology‐Dependent Influences on the Performance of Battery Cells with a Hierarchically Structured Positive Electrode. <i>Batteries & Supercaps</i>, 2023, S. e202300264.</p><p><a href="https://doi.org/10.1002/batt.202300264">https://doi.org/10.1002/batt.202300264</a></p>
Hierarchical Diagnosis for Adult Diffuse Glioma Based on Deep Learning
ClinicalTrials.gov study NCT05624736. IPD Sharing: NO. Countries: 1. Publications: 0.
Chinese Community Sample of Hierarchical Model of Psychopathology
ClinicalTrials.gov study NCT06105970. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Using the Hierarchical Cluster Method for Foot Deformities
ClinicalTrials.gov study NCT03954301. IPD Sharing: NO. Countries: 1. Publications: 0.
Hierarchical Treatment Based on Somatization Symptom Checklist
ClinicalTrials.gov study NCT02723903. IPD Sharing: NO. Countries: 1. Publications: 0.
Hierarchical Management for Maintenance Hemodialysis Patients
ClinicalTrials.gov study NCT07123168. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Clinical Effect of Neoadjuvant Hierarchical Treatment Based on Chemotherapy
ClinicalTrials.gov study NCT03071198. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
The Hierarchical Rehabilitation After Total Knee Arthroplasty
ClinicalTrials.gov study NCT05404568. IPD Sharing: NO. Countries: 1. Publications: 0.
Ablation of Human Cardiac Fibrillation Based on Models of Hierarchical Organization of Tissue Excitation
ClinicalTrials.gov study NCT07390175. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Transcriptome analysis of the hierarchical response of HDAC proteins that respond in an antagonistic manner to salinity stress
GEO Series GSE121225. Arabidopsis thaliana. 24 samples. Type: Expression profiling by array.
Genome-wide mapping of Collier in vivo binding sites highlights its hierarchical position in different transcription regulatory networks
GEO Series GSE67805. Drosophila melanogaster. 3 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Auricular Malformations Driven by Copy Number Variations in a Hierarchical Enhancer Cluster and Dominant Enhancer Recapitulates Human Pathogenesis [RNA-seq]
GEO Series GSE263086. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.
Data from: Bayesian hierarchical models for spatially misaligned data in R
Open the record for dataset details and reuse information.
Data from: Hierarchical multi-taxa models inform riparian vs. hydrologic restoration of urban streams in a permeable landscape
Open the record for dataset details and reuse information.
Auricular Malformations Driven by Copy Number Variations in a Hierarchical Enhancer Cluster and Dominant Enhancer Recapitulates Human Pathogenesis [PC-HiC]
GEO Series GSE263085. Homo sapiens. 1 samples. Type: Other.
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.