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446 results for “Case control”
Data from: Global assessment of the impact of type 2 diabetes on sleep through specific questionnaires. A case-control study
Type 2 diabetes (T2D) is an independent risk factor for sleep breathing disorders. However, it is unknown whether T2D affects daily somnolence and quality of sleep independently of the impairment of polysomnographic parameters. Material and Methods: A case-control study including 413 patients with T2D and 413 non-diabetic subjects, matched by age, gender, BMI, and waist and neck circumferences. A polysomnography was performed and daytime sleepiness was evaluated using the Epworth Sleepiness Scale (ESS). In addition, 135 subjects with T2D and 45 controls matched by the same previous parameters were also evaluated through the Pittsburgh Sleep Quality Index (PSQI) to calculate sleep quality. Results: Daytime sleepiness was higher in T2D than in control subjects (p=0.003), with 23.9% of subjects presenting an excessive daytime sleepiness (ESS>10). Patients with fasting plasma glucose (FPG ?13.1 mmol/l) were identified as the group with a higher risk associated with an ESS>10 (OR 3.9, 95% CI 1.8-7.9, p=0.0003). A stepwise regression analyses showed that the presence of T2D, baseline glucose levels and gender but not polysomnographic parameters (i.e apnea-hyoapnea index or sleeping time spent with oxigen saturation lower than 90%) independently predicted the ESS score. In addition, subjects with T2D showed higher sleep disturbances [PSQI: 7.0 (1.0-18.0) vs. 4 (0.0-12.0), p<0.001]. Conclusion: The presence of T2D and high levels of FPG are independent risk factors for daytime sleepiness and adversely affect sleep quality. Prospective studies addressed to demonstrate whether glycemia optimization could improve the sleep quality in T2D patients seem warranted.
Measurement report: Impact of emission control measures on environmental persistent free radicals and reactive oxygen species – A short-term case study in Beijing
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Supplementary material 9 from: Moore MR, Talamas EJ, Bremer JS, McGathey N, Fulton JC, Lahey Z, Awad J, Roberts CG, Combee LA (2023) Mining biodiversity databases establishes a global baseline of cosmopolitan Insecta mOTUs: a case study on Platygastroidea (Hymenoptera) with consequences for biological control programs. NeoBiota 88: 169-210. https://doi.org/10.3897/neobiota.88.106326
Unique continent and island hit combinations in Insecta dataset
Supplementary material 8 from: Moore MR, Talamas EJ, Bremer JS, McGathey N, Fulton JC, Lahey Z, Awad J, Roberts CG, Combee LA (2023) Mining biodiversity databases establishes a global baseline of cosmopolitan Insecta mOTUs: a case study on Platygastroidea (Hymenoptera) with consequences for biological control programs. NeoBiota 88: 169-210. https://doi.org/10.3897/neobiota.88.106326
Number of distinct continent or island groupings recovered per Insecta BIN
Supplementary material 7 from: Moore MR, Talamas EJ, Bremer JS, McGathey N, Fulton JC, Lahey Z, Awad J, Roberts CG, Combee LA (2023) Mining biodiversity databases establishes a global baseline of cosmopolitan Insecta mOTUs: a case study on Platygastroidea (Hymenoptera) with consequences for biological control programs. NeoBiota 88: 169-210. https://doi.org/10.3897/neobiota.88.106326
List of intercontinental and island Insecta BINs with identification metadata
Supplementary material 6 from: Moore MR, Talamas EJ, Bremer JS, McGathey N, Fulton JC, Lahey Z, Awad J, Roberts CG, Combee LA (2023) Mining biodiversity databases establishes a global baseline of cosmopolitan Insecta mOTUs: a case study on Platygastroidea (Hymenoptera) with consequences for biological control programs. NeoBiota 88: 169-210. https://doi.org/10.3897/neobiota.88.106326
Intercontinental and island records for targeted Platygastroidea in GBIF and the literature
Supplementary material 4 from: Moore MR, Talamas EJ, Bremer JS, McGathey N, Fulton JC, Lahey Z, Awad J, Roberts CG, Combee LA (2023) Mining biodiversity databases establishes a global baseline of cosmopolitan Insecta mOTUs: a case study on Platygastroidea (Hymenoptera) with consequences for biological control programs. NeoBiota 88: 169-210. https://doi.org/10.3897/neobiota.88.106326
Platygastroidea COI dataset NJ tree.tre
Supplementary material 2 from: Moore MR, Talamas EJ, Bremer JS, McGathey N, Fulton JC, Lahey Z, Awad J, Roberts CG, Combee LA (2023) Mining biodiversity databases establishes a global baseline of cosmopolitan Insecta mOTUs: a case study on Platygastroidea (Hymenoptera) with consequences for biological control programs. NeoBiota 88: 169-210. https://doi.org/10.3897/neobiota.88.106326
Randomized BOLD BINs for validation of the Insecta dataset
Supplementary material 19 from: Moore MR, Talamas EJ, Bremer JS, McGathey N, Fulton JC, Lahey Z, Awad J, Roberts CG, Combee LA (2023) Mining biodiversity databases establishes a global baseline of cosmopolitan Insecta mOTUs: a case study on Platygastroidea (Hymenoptera) with consequences for biological control programs. NeoBiota 88: 169-210. https://doi.org/10.3897/neobiota.88.106326
Randomized BOLD BINs for validation of the Araneae dataset
Supplementary material 18 from: Moore MR, Talamas EJ, Bremer JS, McGathey N, Fulton JC, Lahey Z, Awad J, Roberts CG, Combee LA (2023) Mining biodiversity databases establishes a global baseline of cosmopolitan Insecta mOTUs: a case study on Platygastroidea (Hymenoptera) with consequences for biological control programs. NeoBiota 88: 169-210. https://doi.org/10.3897/neobiota.88.106326
List of intercontinental and island Araneae BINs with identification metadata
Supplementary material 3 from: Moore MR, Talamas EJ, Bremer JS, McGathey N, Fulton JC, Lahey Z, Awad J, Roberts CG, Combee LA (2023) Mining biodiversity databases establishes a global baseline of cosmopolitan Insecta mOTUs: a case study on Platygastroidea (Hymenoptera) with consequences for biological control programs. NeoBiota 88: 169-210. https://doi.org/10.3897/neobiota.88.106326
Intercontinental and island Platygastroidea COI dataset alignment
Supplementary material 17 from: Moore MR, Talamas EJ, Bremer JS, McGathey N, Fulton JC, Lahey Z, Awad J, Roberts CG, Combee LA (2023) Mining biodiversity databases establishes a global baseline of cosmopolitan Insecta mOTUs: a case study on Platygastroidea (Hymenoptera) with consequences for biological control programs. NeoBiota 88: 169-210. https://doi.org/10.3897/neobiota.88.106326
Platygastroidea BIN identifications using digital morphology infrastructure
Supplementary material 16 from: Moore MR, Talamas EJ, Bremer JS, McGathey N, Fulton JC, Lahey Z, Awad J, Roberts CG, Combee LA (2023) Mining biodiversity databases establishes a global baseline of cosmopolitan Insecta mOTUs: a case study on Platygastroidea (Hymenoptera) with consequences for biological control programs. NeoBiota 88: 169-210. https://doi.org/10.3897/neobiota.88.106326
Pairwise geographic hit comparisons for the Trissolcus BIN, GBIF, and literature dataset
Supplementary material 14 from: Moore MR, Talamas EJ, Bremer JS, McGathey N, Fulton JC, Lahey Z, Awad J, Roberts CG, Combee LA (2023) Mining biodiversity databases establishes a global baseline of cosmopolitan Insecta mOTUs: a case study on Platygastroidea (Hymenoptera) with consequences for biological control programs. NeoBiota 88: 169-210. https://doi.org/10.3897/neobiota.88.106326
Pairwise geographic hit comparisons for the Synopeas BIN, GBIF, and literature dataset
Supplementary material 13 from: Moore MR, Talamas EJ, Bremer JS, McGathey N, Fulton JC, Lahey Z, Awad J, Roberts CG, Combee LA (2023) Mining biodiversity databases establishes a global baseline of cosmopolitan Insecta mOTUs: a case study on Platygastroidea (Hymenoptera) with consequences for biological control programs. NeoBiota 88: 169-210. https://doi.org/10.3897/neobiota.88.106326
Pairwise geographic hit comparisons for the Platygaster BIN, GBIF, and literature dataset
Supplementary material 12 from: Moore MR, Talamas EJ, Bremer JS, McGathey N, Fulton JC, Lahey Z, Awad J, Roberts CG, Combee LA (2023) Mining biodiversity databases establishes a global baseline of cosmopolitan Insecta mOTUs: a case study on Platygastroidea (Hymenoptera) with consequences for biological control programs. NeoBiota 88: 169-210. https://doi.org/10.3897/neobiota.88.106326
Pairwise geographic hit comparisons for the Platygastroidea BIN, GBIF, and literature dataset
Supplementary material 15 from: Moore MR, Talamas EJ, Bremer JS, McGathey N, Fulton JC, Lahey Z, Awad J, Roberts CG, Combee LA (2023) Mining biodiversity databases establishes a global baseline of cosmopolitan Insecta mOTUs: a case study on Platygastroidea (Hymenoptera) with consequences for biological control programs. NeoBiota 88: 169-210. https://doi.org/10.3897/neobiota.88.106326
Pairwise geographic hit comparisons for the Telenomus BIN, GBIF, and literature dataset
Supplementary material 11 from: Moore MR, Talamas EJ, Bremer JS, McGathey N, Fulton JC, Lahey Z, Awad J, Roberts CG, Combee LA (2023) Mining biodiversity databases establishes a global baseline of cosmopolitan Insecta mOTUs: a case study on Platygastroidea (Hymenoptera) with consequences for biological control programs. NeoBiota 88: 169-210. https://doi.org/10.3897/neobiota.88.106326
Summary of intercontinental and island Platygastroidea BINs
Supplementary material 5 from: Moore MR, Talamas EJ, Bremer JS, McGathey N, Fulton JC, Lahey Z, Awad J, Roberts CG, Combee LA (2023) Mining biodiversity databases establishes a global baseline of cosmopolitan Insecta mOTUs: a case study on Platygastroidea (Hymenoptera) with consequences for biological control programs. NeoBiota 88: 169-210. https://doi.org/10.3897/neobiota.88.106326
Platygastroidea COI dataset NJ tree annotated FIGTREE
Supplementary material 1 from: Moore MR, Talamas EJ, Bremer JS, McGathey N, Fulton JC, Lahey Z, Awad J, Roberts CG, Combee LA (2023) Mining biodiversity databases establishes a global baseline of cosmopolitan Insecta mOTUs: a case study on Platygastroidea (Hymenoptera) with consequences for biological control programs. NeoBiota 88: 169-210. https://doi.org/10.3897/neobiota.88.106326
Country to continent and island group assignments
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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.