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431 results for “register”
Data for "A quantum-network register assembled with optical tweezers in an optical cavity"
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Linked collectors and determiners for: Type locality distributions from the World Register of Marine Species.
Natural history specimen data linked to collectors and determiners held within, "Type locality distributions from the World Register of Marine Species". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/2f7c33b3-ea7a-40ac-a3b7-bace96f978f7">https://bionomia.net/dataset/2f7c33b3-ea7a-40ac-a3b7-bace96f978f7</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/2f7c33b3-ea7a-40ac-a3b7-bace96f978f7">https://gbif.org/dataset/2f7c33b3-ea7a-40ac-a3b7-bace96f978f7</a>. Formatted as a Frictionless Data package.
Figure 1 from: Jossart Q, Moreau C, Agüera A, De Broyer C, Danis B (2015) The Register of Antarctic Marine Species (RAMS): a ten-year appraisal. ZooKeys 524: 137-145. https://doi.org/10.3897/zookeys.524.6091
Figure 1 - Cumulative number of publications citing "Register of Antarctic Marine Species" since 2005 (orange curve) and number of publications per year citing "Register of Antarctic Marine Species" (green barplot).
Figure 3 from: Jossart Q, Moreau C, Agüera A, De Broyer C, Danis B (2015) The Register of Antarctic Marine Species (RAMS): a ten-year appraisal. ZooKeys 524: 137-145. https://doi.org/10.3897/zookeys.524.6091
Figure 3 - Number of accepted species (marine + non marine) per phylum in RAMS (orange plots, left axis) and in WoRMS (green plots, right axis). Phyla with less than 50 occurrences in RAMS were not represented.
Figure 4 from: Jossart Q, Moreau C, Agüera A, De Broyer C, Danis B (2015) The Register of Antarctic Marine Species (RAMS): a ten-year appraisal. ZooKeys 524: 137-145. https://doi.org/10.3897/zookeys.524.6091
Figure 4 - Number of species (left bars in orange) and accepted species (right bars in green) added to RAMS since 2004.
Figure 2 from: Jossart Q, Moreau C, Agüera A, De Broyer C, Danis B (2015) The Register of Antarctic Marine Species (RAMS): a ten-year appraisal. ZooKeys 524: 137-145. https://doi.org/10.3897/zookeys.524.6091
Figure 2 - Number of distinct publications citing "Register of Antarctic Marine Species" per peer-reviewed journal.
Figure 5 from: Jossart Q, Moreau C, Agüera A, De Broyer C, Danis B (2015) The Register of Antarctic Marine Species (RAMS): a ten-year appraisal. ZooKeys 524: 137-145. https://doi.org/10.3897/zookeys.524.6091
Figure 5 - Asteroidea occurrences of RAMS species (green circles) and non-RAMS species (orange circles) within the RAMS area of interest, Antarctic area (light blue) and Sub-Antarctic area (light yellow). Black continuous line is the Polar front and the black dashed line is the Subtropical front.
Supplementary materials for article on 'A Register-Based Study of Interior Monologue in James Joyce's Ulysses', submitted to 'Literature'
<p>See the data availability statement</p>
Supplementary material for: Increased morbidity in gynecomastia: A nationwide register-based cohort study
<p><strong>Context</strong>: Evidence on the long-term and general health of males with gynecomastia is entirely lacking.</p> <p><strong>Objectives</strong>: To assess health prior to and following a diagnosis of gynecomastia.</p> <p><strong>Methods</strong>: A register-based cohort study of 140,574 males, of which 23,429 males were diagnosed with incident gynecomastia and age- and calendar-matched (1:5) to 117,145 males without gynecomastia from the background population. Males with gynecomastia were stratified into males without (idiopathic) or with a known pre-existing risk factor (disease/medication). Cox and logistic regression models investigated associations of disease risk according to ICD-10 chapters following and prior to gynecomastia diagnosis.</p> <p><strong>Results</strong>: A total of 16,253 (69.4%) males in the cohort were identified with idiopathic gynecomastia. These males had a statistically significant higher risk of future disease across all included disease chapters (HR range: 1.19 to 1.89), with endocrine diseases representing the greatest disease risk (HR 1.89, 95% CI: 1.76 to 2.03). The highest sub-chapter disease risk was observed for disorders of endocrine glands (OR 7.27, 95% CI: 6.19 to 8.54). Similarly, the odds ratios of comorbidities were higher across all included disease chapters (OR range 1.05 to 1.51), except for psychiatric disease (OR 0.72, 95% CI: 0.68 to 0.78), with the highest association with musculoskeletal/connective tissue (OR 1.51, 95% CI: 1.46 to 1.57) and circulatory (OR 1.36, 95% CI: 1.29 to 1.43) diseases.</p> <p><strong>Conclusions</strong>: The presence of idiopathic gynecomastia is an important first clinical symptom of an underlying disease and a significant predictor of future disease risk. These findings should stimulate more awareness among healthcare providers to increase identification of gynecomastia and its causes in males.</p>
The results of issue register analysis
<p>The results of the issue register analysis.</p>
A Study To Evaluate A Booster Dose Of Menacwy-tt Vaccine Administered 10 Years After Healthy Subjects Aged 11-17 Years Received Either Menacwy-tt Vaccine (Nimenrix(Registered)) Or Mencevax Acwy(Regist
ClinicalTrials.gov study NCT03189745. IPD Sharing: YES. Countries: 1. Publications: 0.
The Effect of Sildenafil Citrate (Viagra® (Registered Trademark)) on Brain Blood Flow in Multiple Sclerosis Patients
ClinicalTrials.gov study NCT00094068. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Treatment With Recombinant Human Growth Hormone Genotonorm (Registered) In Children With Short Stature Secondary
ClinicalTrials.gov study NCT00174278. IPD Sharing: Not stated. Countries: 1. Publications: 1.
ATX Register Accolade Stem & Trident/Tritanium Cup With X3 Insert
ClinicalTrials.gov study NCT02520544. IPD Sharing: Not stated. Countries: 4. Publications: 0.
Real-world Therapy of ALK-positive NSCLC in Sweden: the Sequencing of ALK Tyrosine Kinase Inhibitor Drugs and Their Therapeutic Outcomes Based on Data From National Registers.
ClinicalTrials.gov study NCT04647110. IPD Sharing: NO. Countries: 1. Publications: 0.
Finasteride (MK-0906) and Male Breast Cancer - A Register-Based Nested Case-Control Study (MK-0906-162/2003.021).
ClinicalTrials.gov study NCT01703520. IPD Sharing: NO. Countries: 0. Publications: 1.
HeAlth-data Register sTudies of Risk and Outcomes in Cardiac Surgery
ClinicalTrials.gov study NCT02276950. IPD Sharing: Not stated. Countries: 0. Publications: 13.
A Register Study of Effects Following Local Variation in Rates of Involuntary Care
ClinicalTrials.gov study NCT04655287. IPD Sharing: NO. Countries: 0. Publications: 1.
Data from: The ecological roots of human susceptibility to social influence: a pre-registered study investigating the impact of early life adversity
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Data accompanying the Registered Report: Does unfairness sound wrong? A cross-domain investigation of expectations in music and social decision-making.
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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.