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Dataset results
307 results for “consortium”
Pragmatic Randomized Trial of Proton vs. Photon Therapy for Patients With Non-Metastatic Breast Cancer: A Radiotherapy Comparative Effectiveness (RADCOMP) Consortium Trial
ClinicalTrials.gov study NCT02603341. IPD Sharing: Not stated. Countries: 1. Publications: 1.
PTRG-DES Consortium
ClinicalTrials.gov study NCT04734028. IPD Sharing: UNDECIDED. Countries: 1. Publications: 13.
COVID-19 and Cancer Consortium Registry
ClinicalTrials.gov study NCT04354701. IPD Sharing: Not stated. Countries: 1. Publications: 5.
the National Colorectal Cancer Cohort (NCRCC) Study: National Colorectal Cancer Research Consortium
ClinicalTrials.gov study NCT04074538. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Canine 230K Consortium chip data originated from the drug detection dogs
Open the record for dataset details and reuse information.
Figure 6 from: Altenhöner R, Blümel I, Boehm F, Bove J, Bicher K, Bracht C, Brand O, Dieckmann L, Effinger M, Hagener M, Hammes A, Heller L, Kailus A, Kohle H, Ludwig J, Münzmay A, Pittroff S, Razum M, Röwenstrunk D, Sack H, Simon H, Schmidt D, Schrade T, Walzel A-V, Wiermann B (2020) NFDI4Culture - Consortium for research data on material and immaterial cultural heritage. Research Ideas and Outcomes 6: e57036. https://doi.org/10.3897/rio.6.e57036
Figure 6 Multimodal data types. Example 1: Motion Bank, Example 2: Digital Mozart Score Viewer, Example 3: Inscriptions in their Spatial Context (IBR).
International stroke genetics consortium - intracranial aneurysm groups - cohorts and phenotypic descriptors
<p>Approximately 3% of the population harbor an unruptured intracranial aneurysm (IA) and the overall risk of an aneurysmal rupture is about 1% per year. Rupture of IA causes aneurysmal subarachnoid hemorrhage (aSAH) and despite recent improvements in risk stratification, imaging, surgical and intensive care treatment, the functional outcome after aSAH remains poor. The goal of the present study was to investigate patient and IA characteristics associated with IA rupture using a large multicenter collection of well-characterized cases with IA. </p> <p><span><span><span><span><span><span><span><span><span><span><span>Data were collected in the context of the genetic studies on IAand were shared among the International Stroke Genetics Consortium Intracranial Aneurysm Group (ISGC-IA) (<strong>e</strong><b>Table 1</b>). Detailed cohort descriptions are given in <strong>e</strong><b>Table 2</b>. Briefly, all cases had a saccular IA, ruptured or unruptured confirmed by imaging or surgical exploration. Patients with conditions known to predispose to IAs, such as autosomal dominant polycystic kidney disease, Ehlers-Danlos disease, or Marfan's syndrome, were excluded. For all participating groups, approval was received by institutional or regional ethics committee on human experimentation. Written informed consent was obtained from all patients (or guardians of patients) participating in the respective studies. </span></span></span></span></span></span></span></span></span></span></span></p> <p>Initial exploration of the available data allowed identification of a minimal data set of seven phenotypic patient characteristics (basis of recruitment, sex, positive family history, hypertension status, smoking status, age at time of aneurysm rupture, and multiplicity status), and three aneurysms characteristics (rupture status, IA maximum diameter at rupture, and IA location) harmonized across studies (<b>eTable 3</b>).</p>
Supplementary material 1 from: Lymer G, Leliaert F, Mergen P, Pijls S (2023) Pre-Commercial Procurement framework and European funding sources for European Research Infrastructure Consortiums: Insights from the DiSSCo ERIC development. Research Ideas and Outcomes 9: e113294. https://doi.org/10.3897/rio.9.e113294
Glossary
Supplementary material 2 from: Lymer G, Leliaert F, Mergen P, Pijls S (2023) Pre-Commercial Procurement framework and European funding sources for European Research Infrastructure Consortiums: Insights from the DiSSCo ERIC development. Research Ideas and Outcomes 9: e113294. https://doi.org/10.3897/rio.9.e113294
ANNEXE 1: Additional and non-EU funding sources
Consortium of Long Read Sequencing Database (CoLoRSdb)
<p>Visit the <a href="https://colorsdb.org">CoLoRSdb website</a> for additional information.</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.
Summary statistics for the InsPIRE consortium (pancreatic islets eQTLs)
<p>Summary statistics for the InsPIRE study: Influence of genetic variants on gene expression in human pancreatic islets – implications for type 2 diabetes</p> <p>This datasets includes eQTLs from 420 pancreatic islets (exon and gene level quantifications) and 27 beta-cells FAC sorted (exon quantifications) form RNA-Seq samples. Full summary statistics and independent associations are included.</p> <p>The full description of methods is currently available here: Bioxiv (<a href="https://www.biorxiv.org/content/10.1101/655670v1">https://www.biorxiv.org/content/10.1101/655670v1</a>).</p>
Figure 14 in Сarbon fluxes intensity from substrates and phototrophic consortiums of the photic zones in Montenegro caves
Figure 14. The results of isotopic analysis of bryophytes phytomass of the photic zones in Montenegro caves.
FIGURE 15 in Solution NMR Structure of CalU16 from Micromonospora echinospora, Northeast Structural Genomics Consortium (NESG) Target MiR12
FIGURE 15. Original plate in the description of Nototrema fissipes by Boulenger (1888).
Longitudinal white-matter abnormalities in sports-related concussion: a diffusion MRI study of the NCAA-DoD CARE Consortium
<p><b>Objective</b></p> <p>To study longitudinal recovery trajectories of white-matter after sports-related concussion (SRC), we performed diffusion tensor imaging (DTI) on collegiate athletes who sustained SRC. </p> <p><b>Methods </b></p> <p>Collegiate athletes (n=219, 82 concussed athletes, 68 contact-sport controls, and 69 non-contact-sport controls) were included from the Concussion Assessment, Research and Education (CARE) Consortium. The participants completed clinical assessments and DTI at four time points: 24-48-hours post-injury, asymptomatic state, seven days following return-to-play, and six-months post-injury. Tract-based spatial statistics were used to investigate group differences in DTI metrics and identify white-matter areas with persistent abnormalities. Generalized linear mixed models were used to study longitudinal changes and associations between outcome measures and DTI metrics. Cox proportional hazards model was used to study effects of white-matter abnormalities on recovery time. </p> <p><b>Results</b></p> <p>In the white matter of concussed athletes, DTI-derived mean diffusivity was significantly higher than the controls at 24-48 hours post-injury and beyond the point when the concussed athletes became asymptomatic. While the extent of affected white matter decreased over time, part of the corpus callosum had persistent group-differences across all the time points. Furthermore, greater elevation of mean diffusivity at acute concussion was associated with worse clinical outcome measures (i.e., Brief-Symptom-Inventory scores and symptom-severity scores) and prolonged recovery time. No significant differences in DTI metrics were observed between the contact-sport and non-contact-sport controls. </p> <p><b>Conclusions</b></p> <p>Changes in white matter were evident after SRC at six-months post-injury, but were not observed in contact-sport exposure. Further, the persistent white-matter abnormalities were associated with clinical outcomes and delayed recovery time.</p>
Kraken2 Human Pangenome Reference Consortium database
<p>A kraken2 database built from the genome assemblies used by the Human Pangenome Reference Consortium (https://projects.ensembl.org/hprc/). This archive contains the three files required by kraken2, hash.k2d, opts.k2d, and taxo.k2d, along with inspect.txt, which is obtained by running kraken2-inspect on the database, ktaxonomy.tsv, which contains the taxonomy information of the database (obtained by running https://github.com/jenniferlu717/KrakenTools#make_ktaxonomypy).</p> <p>The genomes for this database were downloaded using the assembly summary text file included in this dataset and genome_updater.sh (v0.6.3; https://github.com/pirovc/genome_updater)</p> <pre><code>genome_updater.sh -m -a -f "genomic.fna.gz" -t 8 -e "hprc_assembly_summary.txt" -o HPRC_genomes/</code></pre> <p>The python script prepare_kraken_fasta.py was then used to prepare the assemblies for use in kraken with the following command</p> <pre><code>python prepare_kraken_fasta.py -r -T 9606 -o HPRC.fna HPRC_genomes/</code></pre> <p>The database was then built with kraken2 using the following commands</p> <pre><code>kraken2-build --download-taxonomy --db db/ kraken2-build --add-to-library HPRC.fna --db db/ kraken2-build --build --db db/ --threads 16</code></pre>
Abemaciclib and Pembrolizumab in Locally Advanced Unresectable or Metastatic Gastroesophageal Adenocarcinoma: Big Ten Cancer Research Consortium BTCRC-GI18-149
ClinicalTrials.gov study NCT03997448. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Alcohol Research Consortium in HIV-Intervention Research Arm
ClinicalTrials.gov study NCT02938377. IPD Sharing: NO. Countries: 1. Publications: 0.
Molecular and Clinical Response to a Single Bout of Aerobic Exercise in a Multimorbid Population: a Study From the Consortium on Precision EXercise in Aging
ClinicalTrials.gov study NCT05404698. IPD Sharing: NO. Countries: 1. Publications: 0.
Heart Failure Study: The Atlanta Cardiomyopathy Consortium
ClinicalTrials.gov study NCT00599014. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.