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617 results for “base population”
Figure 1 from: Degtjarenko P, Jüriado I, Mandel T, Tõrra T, Saag A, Scheidegger C, Randlane T (2019) Microsatellite based genetic diversity of the widespread epiphytic lichen Usnea subfloridana (Parmeliaceae, Ascomycota) in Estonia: comparison of populations from the mainland and an island. MycoKeys 58: 27-45. https://doi.org/10.3897/mycokeys.58.36557
Figure 1 Distribution map of Usnea subfloridana in Estonia (light grey squares) and study populations (black circles) on Hiiumaa island in the western region (W), in the south-eastern region (SE) and in the northern region of Estonia; the map of Scandinavia was taken from free map resource http://d-maps.com/carte.php?num_car=5977&lang=en.
Figure 6 from: Degtjarenko P, Jüriado I, Mandel T, Tõrra T, Saag A, Scheidegger C, Randlane T (2019) Microsatellite based genetic diversity of the widespread epiphytic lichen Usnea subfloridana (Parmeliaceae, Ascomycota) in Estonia: comparison of populations from the mainland and an island. MycoKeys 58: 27-45. https://doi.org/10.3897/mycokeys.58.36557
Figure 6 Alleles of Usnea subfloridana and explanatory variables mean annual air temperature ('Temp') and geographical longitude of populations ('Long') in the bi-plot of the redundancy analysis (RDA) of the first and second axes. Labels of alleles prefixed by '8' or '9' indicate that these alleles belong to loci Us08 or Us09, respectively; for example, 8201 means that allele 201 is from Us08
Figure 4 from: Degtjarenko P, Jüriado I, Mandel T, Tõrra T, Saag A, Scheidegger C, Randlane T (2019) Microsatellite based genetic diversity of the widespread epiphytic lichen Usnea subfloridana (Parmeliaceae, Ascomycota) in Estonia: comparison of populations from the mainland and an island. MycoKeys 58: 27-45. https://doi.org/10.3897/mycokeys.58.36557
Figure 4 Usnea subfloridana multilocus genotypes (Us02, Us03, Us04, Us05, Us06, Us08, Us09) and explanatory variables mean annual air temperature ('Temp') and the presence of thamnolic acid ('Tham') in a lichen sample in the bi-plot of the redundancy analysis (RDA) of the first and second axes.
Figure 5 from: Degtjarenko P, Jüriado I, Mandel T, Tõrra T, Saag A, Scheidegger C, Randlane T (2019) Microsatellite based genetic diversity of the widespread epiphytic lichen Usnea subfloridana (Parmeliaceae, Ascomycota) in Estonia: comparison of populations from the mainland and an island. MycoKeys 58: 27-45. https://doi.org/10.3897/mycokeys.58.36557
Figure 5 Sample populations of Usnea subfloridana and explanatory variables mean annual air temperature ('Temp') and geographical longitude of populations ('Long') in the bi-plot of the redundancy analysis (RDA) of the first and second axes. The shape of symbols indicates the geographical location of studied populations (square – south-eastern region of mainland, circle - western island and diamond – north-eastern region) and the size of symbols indicates the number of different alleles found in the studied populations.
Figure 3. K in Microsatellite based genetic diversity of Mediterranean fruit fly (Ceratitis capitata, Diptera: Tephritidae) populations from Southwest Turkey
Figure 3. K = 4 clustering assignment depending on the Bayesian method under an admixture model obtained by Structure software. Individuals are represented by a vertical line and each color indicates a different cluster. 1: Muğla; 2: Aydın; 3: Antalya; 4: İzmir; 5: Adana; 6: Yalova; 7: Mersin.
Linked collectors and determiners for: Taxonomic revision of the southern hemisphere pygmy forget-me-not group (Myosotis; Boraginaceae) based on morphological, population genetic and climate-edaphic niche modelling data.
Natural history specimen data linked to collectors and determiners held within, "Taxonomic revision of the southern hemisphere pygmy forget-me-not group (Myosotis; Boraginaceae) based on morphological, population genetic and climate-edaphic niche modelling data". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/32977d5c-8f02-4d26-8f75-ce56bf36f1fa">https://bionomia.net/dataset/32977d5c-8f02-4d26-8f75-ce56bf36f1fa</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/32977d5c-8f02-4d26-8f75-ce56bf36f1fa">https://gbif.org/dataset/32977d5c-8f02-4d26-8f75-ce56bf36f1fa</a>. Formatted as a Frictionless Data package.
Supplementary material - Delineating the psychiatric morbidity spectrum in congenital adrenal hyperplasia: a population-based registry study
Open the record for dataset details and reuse information.
Data from: Epidemiology of NMOSD in Sweden from 1987-2013: a nationwide population-based study
Objective: The objective was to report the yearly incidence rate and prevalence of neuromyelitis spectrum disorder (NMOSD) in Sweden and to investigate clinical characteristics, treatment and outcome. Methods: We conducted a retrospective study of hospital case records of 294 individuals diagnosed with NMO (G36.0 ICD-10, 341.0 ICD-9) in the Swedish National Patient Register from 1987 to end of 2013 or detected by the presence of Aquaporin 4 IgG (AQP4) in serum during the study period. Ninety-two patients (51 NMO and 41 NMO spectrum-disorder) met the 2006 Wingerchuk criteria and were included in the study. Eleven Ten patients with an onset of NMO prior to 1987 and alive at the end of 2013 were included when estimating the prevalence. Results: The average yearly incidence rate per 1,000,000 individuals increased significantly from 0.30 (CI: 0.19-0.41) between 1987-2006 to 0.79 (CI:0.55-1.03) between 2007-2013. The prevalence was 10.4 (CI:8.5-12.6) per 1,000,000 individuals as end of 2013. The median time from onset to first relapse was 1.42 years (range:0.58-3.90). The probability of relapse was 60% and 75% after five and 10 years after onset. More than 80% were treated with immunosuppressive drugs. Three patients succumbed during the study period. Conclusion: The increased incidence rate during the study period was likely due to heightened awareness and increased access to MRI and AQP4-IgG analysis. Incidence and prevalence of NMO in Sweden correspond to other countries with a predominately Caucasian population. We found that most patients were treated with immunosuppressant drugs, presumably resulting in a low mortality among the detected cases.
Moderate-severe OSA screening based on support vector machine of the Chinese population facio-cervical measurements dataset: A cross-sectional study
<p><strong>Objectives</strong> Obstructive sleep apnea (OSA) has received much attention as a risk factor for perioperative complications and 68.5% of OSA patients remain undiagnosed before surgery. Facio-cervical characteristics may screen OSA for Asians due to smaller upper airways compared to Caucasians. Thus, our study aimed to explore a machine-learning model to screen moderate-severe OSA based on facio-cervical and anthropometric measurements.</p> <p><strong>Design </strong>A cross-sectional study.</p> <p><strong>Setting</strong> Data were collected from the Shanghai Jiao Tong University School of Medicine affiliated Ruijin Hospital between February 2019 and August 2020.</p> <p><strong>Participants</strong> A total of 481 Chinese participants were included in the study.</p> <p><strong>Primary and secondary outcome</strong> (1) Identification of moderate-severe OSA with apnea-hypopnea index (AHI)15 events·h<sup>−1</sup>. (2) Verification of the machine learning model.</p> <p><strong>Results</strong> The SABIHC2 model (Sex-Age-Body mass index-maximum Interincisal distance-ratio of Height to thyro-sternum distance-neck Circumference-waist Circumference) was set up. The SABIHC2 model could screen moderate-severe OSA with an area under the curve (AUC)=0.832, the sensitivity of 0.916, and specificity of 0.749, and performed better than the STOP-BANG questionnaire, which showed AUC=0.631, the sensitivity of 0.487, and specificity of 0.772. Especially for asymptomatic patients (ESS < 10), the SABIHC2 model demonstrated better predictive ability compared to the STOP-BANG questionnaire, with AUC (0.824 vs. 0.530), sensitivity (0.892 vs. 0.348), and specificity (0.755 vs. 0.809).</p> <p><strong>Conclusion</strong> The SABIHC2 machine learning model provides a simple and accurate assessment of moderate-severe OSA in the Chinese population, especially for those without significant daytime sleepiness.</p>
Prevalence of oral manifestations in patients with lupus erythematosus in a sample of Egyptian population, a hospital based cross-sectional study
<p>Background: Several systemic diseases manifest themselves in the oral cavity. Oral manifestations of lupus erythematosus (LE) are associated with a significantly increased risk of cancer. Dentists who are unaware of these lesions will possibly miss them. This cross-sectional study aimed to assess the prevalence of oral manifestations in patients with LE in a sample of the Egyptian population.</p> <p>Methods: A descriptive study was performed on 189 patients attending the Internal Medicine Department, Rheumatology clinic in EL Qasr EL Ainy Hospital, Cairo University. Every patient was examined clinically after completing a questionnaire. Moreover, patients' medical records were also evaluated. The oral manifestations were recorded according to the WHO guide to physical examination of the oral cavity and classified according to their morphologic aspects and localization.</p> <p class="MsoBodyText">Results [DSL1] : Out of 198 patients, 182 females (96.3%) and 7 males (3.7%).</p> <p class="MsoBodyText">The prevalence of oral lesions in LE patients was 55.6%. The most affected site was the tongue 25.7%. The most common clinical aspect was patches, 53%. About 77.1% of the lesions were asymptomatic. 74.3% of the patients had oral candidiasis. The prevalence of skin lesions in LE patients was 37.6%. The most common finding was malar rash 79%.</p> <p>Conclusions: The present study emphasizes the importance of early diagnosis of oral lesions to recognize patients with LE as the <span>WHO considers oral manifestations of LE a widespread state associated with an increased risk of cancer. Also, </span>implementation of oral hygiene measures and treatment to improve patients' nutritional state and health-related quality of life are recommended.</p>
Figure 1 from: Costa M, Tubino R, Neto C (2018) Length-based estimates of growth parameters and mortality rates of fish populations from a coastal zone in the Southeastern Brazil. Zoologia 35: 1-8. https://doi.org/10.3897/zoologia.35.e22235
Figure 1 Geographical location of Itaipu coastal zone of Rio de Janeiro, Brazil, showing fishing areas (stars).
Follow-up of Extreme Neonatal Hyperbilirubinemia in 5-10 Year Old Children: a Danish Population Based Study
ClinicalTrials.gov study NCT01599611. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Population Based Intervention to Prevent Obesity in Kindergartens (TigerKids)
ClinicalTrials.gov study NCT00336128. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Long Term Excess Mortality of Acute Myocardial Infarction in Patients With and Without Diabetes: A Population-based Cohort Study
ClinicalTrials.gov study NCT02591576. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Study to Evaluate Impact of School-based Influenza Vaccination on School Populations
ClinicalTrials.gov study NCT00844051. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Population-based Study of Celiac Disease in South Europe in Children Between 1 to 5 Years of Age
ClinicalTrials.gov study NCT05968404. IPD Sharing: Not stated. Countries: 0. Publications: 4.
Population-centered Risk- and Evidence-based Dental Inter-professional Care Team
ClinicalTrials.gov study NCT02312921. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Efficacy of 8 vs 4 Sessions Mindfulness-based Programs in a Non-clinical Population
ClinicalTrials.gov study NCT02643927. IPD Sharing: UNDECIDED. Countries: 0. Publications: 1.
Population Based Lighting Study on Older Adults
ClinicalTrials.gov study NCT05676086. IPD Sharing: NO. Countries: 1. Publications: 0.
Comparing Mentalization-based Treatment And A Dialectical Behavior Therapy-inspired Treatment On The Utilization Of Services And The Dropout Rate In A Clinical Adult Population With A Cluster B Person
ClinicalTrials.gov study NCT05014217. IPD Sharing: NO. Countries: 0. Publications: 19.
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.