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307 results for “consortium”
Control panel created from 30-40 Nanopore or PacBio HiFi sequencing data from the Human Pangenome Reference Consortium
<p>This is control panel for <a href="https://github.com/friend1ws/nanomonsv">nanomonsv</a> software, which is expected to exclude many false positives as well as improve computational cost. This is made by aligning 30-40 Nanopore or PacBio HiFi sequencing data from Human Pangenome Reference Consortium (HPRC) to the GRCh38 or CHM13 reference genomes with <a href="https://github.com/lh3/minimap2">minimap2</a> version 2.24.</p> <p><strong>When you use these control panels and publish, do not forget to credit to <a href="https://humanpangenome.org/data-use-protocol/">HPRC</a>!</strong></p> <div> <div> <div> <p>Reference genomes:</p> <ul> <li>GRCh38: <a href="https://ftp.ncbi.nlm.nih.gov/genomes/all/GCA/000/001/405/GCA_000001405.15_GRCh38/seqs_for_alignment_pipelines.ucsc_ids/GCA_000001405.15_GRCh38_no_alt_analysis_set.fna.gz">Download GRCh38</a></li> <li>CHM13: <a href="https://s3-us-west-2.amazonaws.com/human-pangenomics/T2T/CHM13/assemblies/analysis_set/chm13v2.0_maskedY_rCRS.fa.gz">Download CHM13</a> <div> <div> <div> <div> </div> </div> </div> </div> </li> </ul> </div> </div> </div>
Figure 7 in Сarbon fluxes intensity from substrates and phototrophic consortiums of the photic zones in Montenegro caves
Figure 7. Bacterial biomass in the consortiums of the photic zones in Montenegro caves.
Figure 4 in Сarbon fluxes intensity from substrates and phototrophic consortiums of the photic zones in Montenegro caves
Figure 4. Micromycetes biomass in the consortiums of the photic zones in Montenegro caves.
Figure 9 in Сarbon fluxes intensity from substrates and phototrophic consortiums of the photic zones in Montenegro caves
Figure 9. Photorophic respiration in the consortiums of the photic zones in Montenegro caves.
Figure 2 in Сarbon fluxes intensity from substrates and phototrophic consortiums of the photic zones in Montenegro caves
Figure 2. Phototrophic biomass in the consortiums of the photic zones in Montenegro caves.
Figure 1 in Сarbon fluxes intensity from substrates and phototrophic consortiums of the photic zones in Montenegro caves
Figure 1. The consortiums of Montenegro caves.
Covid-19 and Cancer Consortium (CCC19) breast cancer and racial disparities outcomes study
<p><span>Background</span>: Limited information is available for patients with breast cancer (BC) and coronavirus disease 2019 (COVID-19), especially among underrepresented racial/ethnic populations.</p> <p><span>Methods</span>: This is a COVID-19 and Cancer Consortium (CCC19) registry-based retrospective cohort study of females with active or history of BC and laboratory-confirmed severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection diagnosed between March 2020 and June 2021 in the US. Primary outcome was COVID-19 severity measured on a five-level ordinal scale, including none of the following complications, hospitalization, intensive care unit admission, mechanical ventilation, and all-cause mortality. Multivariable ordinal logistic regression model identified characteristics associated with COVID-19 severity.</p> <p><span>Results</span>: 1,383 female patient records with BC and COVID-19 were included in the analysis, the median age was 61 years, and median follow-up was 90 days. Multivariable analysis revealed higher odds of COVID-19 severity for older age (aOR per decade, 1.48 [95% CI, 1.32–1.67]); Black patients (aOR 1.74; 95 CI 1.24–2.45), Asian Americans and Pacific Islander patients (aOR 3.40; 95 CI 1.70–6.79) and Other (aOR 2.97; 95 CI 1.71–5.17) racial/ethnic groups; worse ECOG performance status (ECOG PS ≥2: aOR, 7.78 [95% CI, 4.83–12.5]); pre-existing cardiovascular (aOR, 2.26 [95% CI, 1.63–3.15])/pulmonary comorbidities (aOR, 1.65 [95% CI, 1.20–2.29]); diabetes mellitus (aOR, 2.25 [95% CI, 1.66–3.04]); and active and progressing cancer (aOR, 12.5 [95% CI, 6.89–22.6]). Hispanic ethnicity, timing, and type of anti-cancer therapy modalities were not significantly associated with worse COVID-19 outcomes. The total all-cause mortality and hospitalization rate for the entire cohort were 9% and 37%, respectively; however, it varied according to the BC disease status.</p> <p><span>Conclusions</span>: Using one of the largest registries on cancer and COVID-19, we identified patient- and BC-related factors associated with worse COVID-19 outcomes. After adjusting for baseline characteristics, underrepresented racial/ethnic patients experienced worse outcomes compared to Non-Hispanic White patients.</p>
Sky model from the paper "Prospects for a survey of the Galactic plane with the Cherenkov Telescope Array" by the CTA Consortium
<p>The main source model definition file is provided in two formats.</p> <p>- models_gps.xml: readable using GammaLib/ctools, see http://cta.irap.omp.eu/ctools/users/user_manual/models.html</p> <p>- models_gps.yaml: readable using Gammapy, see https://docs.gammapy.org/1.1/tutorials/api/models.html#model-lists-and-serialisation</p> <p> </p> <p>We provide separately the three alternative interstellar emission models.</p> <p>- base: IEM_base.fits</p> <p>- varmin: IEM_varmin.fits.gz</p> <p>- varmin-rescaled: IEM_varmin_rescaled.fits.gz</p> <p>To use the interstellar models one can employ:</p> <p>- GammaLib/ctools, see http://cta.irap.omp.eu/ctools/users/user_manual/models_spatial.html#diffusemapcube</p> <p>- Gammapy, see https://docs.gammapy.org/1.1/tutorials/data/fermi_lat.html#galactic-diffuse-background</p> <p> </p> <p>This work was conducted in the context of the CTA Consortium. We gratefully acknowledge financial support from the agencies and organizations listed here: https://www.cta-observatory.org/consortium_acknowledgments/.</p>
Fig. 16 in Consortium of European TaXonomic Facilities (CETAF) best practices in electronic publishing in taXonomy
Fig. 16. Scheme extracted from Roarmap showing the different policies regarding Open Access.
DAMP-Mediated Innate Immune Failure and Pneumonia After Trauma - the Harvard-Longwood (HALO) Campus Area Consortium
ClinicalTrials.gov study NCT03993002. IPD Sharing: YES. Countries: 1. Publications: 2.
A Study of Atezolizumab as Neoadjuvant and Adjuvant Therapy in Resectable Non-Small Cell Lung Cancer (NSCLC) - Lung Cancer Mutation Consortium (LCMC3)
ClinicalTrials.gov study NCT02927301. IPD Sharing: Not stated. Countries: 1. Publications: 1.
HOPE Consortium Trial to Reduce Pain and Opioid Use in Hemodialysis
ClinicalTrials.gov study NCT04571619. IPD Sharing: YES. Countries: 1. Publications: 3.
Mechanisms of Severe Acute Influenza Consortium (MOSAIC)
ClinicalTrials.gov study NCT00965354. IPD Sharing: NO. Countries: 1. Publications: 2.
Development of Cockroach Immunotherapy by the Inner-City Asthma Consortium
ClinicalTrials.gov study NCT01221285. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Resuscitation Outcomes Consortium (ROC) Prehospital Resuscitation Using an Impedance Valve
ClinicalTrials.gov study NCT00394706. IPD Sharing: Not stated. Countries: 2. Publications: 8.
The Care Ecosystem Consortium Effectiveness Study
ClinicalTrials.gov study NCT05669365. IPD Sharing: YES. Countries: 1. Publications: 4.
Pembrolizumab + Imprime PGG for Metastatic Non-small Cell Lung Cancer After Progression on First-Line Therapy: Big Ten Cancer Research Consortium BTCRC-LUN15-017
ClinicalTrials.gov study NCT03003468. IPD Sharing: NO. Countries: 1. Publications: 1.
Biomarkers for Vascular Contributions to Cognitive Impairment and Dementia Consortium
ClinicalTrials.gov study NCT06284213. IPD Sharing: YES. Countries: 1. Publications: 3.
Covid-19 and Cancer Consortium (CCC19) breast cancer and racial disparities outcomes study
Open the record for dataset details and reuse information.
ICECAP-2 consortium bed elevation model for Princess Elizabeth Land, East Antarctica
<p>We present a new topographic digital elevation model (DEM) for Princess Elizabeth Land (PEL) – the last remaining region in Antarctica to be surveyed. The DEM covers an area of 899,730 km2 and was established from new aero geophysical data collected by the ICECAP-2 consortium, led by the Polar Research Institute of China, from four different surveys since 2015. Two products are available; (1) 500 m bed elevation model; and (2) 500 m ice thickness model. The mass conservation (MC) method is used to infer ice thickness DEM across faster-flowing (>30 m yr-1) regions of the ice sheet, and streamline diffusion at slower-flowing areas. The ice thickness DEM is then integrated with the ice surface DEM from the Reference Elevation Model of Antarctica (Howat, et al., 2019) to generate the bed elevation model. Together with BedMachine Antarctica, and Bedmap2, this new bed DEM for PEL completes the first-order measurement of subglacial Antarctica – an international mission that began 70 years ago. </p>
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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.