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3,259
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Dataset results
3,259 results for “type studies”
Fig. 1. Location and vegetation types where small mammals were sampled between November 2012 and September 2013 in Small mammals from the lasting fragments of Araucaria Forest in southern Brazil: a study about richness and diversity
Fig. 1. Location and vegetation types where small mammals were sampled between November 2012 and September 2013, at Piraí do Sul National Forest, ParanÁ state, Brazil (A, Pine Plantation; B, Riparian Forest; C, Araucaria Plantation; D, Natural Regeneration forest; E, High Altitude forest). Original distribution of Atlantic Forest biome (light gray) and Araucaria forest (dark gray).
Replication Package for "Type Inference in Kotlin: An Exploratory Study of Developer Usage Patterns"
<p>This dataset includes scripts and data files used to generate all analysis and results from the paper. A <strong>README.md</strong> file is included for details on using the scripts.</p> <p>The dataset is quite large. It is broken down into three archives. All scripts are in <strong>replication-pkg.zip</strong> and the other 2 files only contain data. So if you want to just inspect the analysis, you only need that single zip.</p> <p>If you grab the <strong>data-cache.zip</strong> file and extract it, it will need around 1GB of space. This is the processed dataset stored in Parquet files. Use this if you want to just recreate the tables/figures from the paper.</p> <p>If you want to make changes to the analyses, you will need the raw data in <strong>data.zip</strong>. This will need around 13GB of space once extracted. If you then generate the CSV files from those TXT files (which you will need to do for any custom analysis), you will need an additional 12GB of space.</p>
Data supporting "Changes in human dorsal root ganglion neuron excitability from modulating Nav 1.8 conductance are non-linear and depend on the conductances of the delayed rectifier and M-type potassium currents: a simulation study"
<p>Data and code supporting the article "Changes in human dorsal root ganglion neuron excitability from modulating Nav 1.8 conductance are non-linear and depend on the conductances of the delayed rectifier and M-type potassium currents: a simulation study".</p> <p> </p>
Efficacy and Safety Study of DX-2930 to Prevent Acute Angioedema Attacks in Patients With Type I and Type II HAE
ClinicalTrials.gov study NCT02586805. IPD Sharing: YES. Countries: 7. Publications: 4.
An Open Label Study of LMI070 (Branaplam) in Type 1 Spinal Muscular Atrophy (SMA)
ClinicalTrials.gov study NCT02268552. IPD Sharing: UNDECIDED. Countries: 7. Publications: 1.
A Study of TAK-994 in Adults With Type 1 and Type 2 Narcolepsy
ClinicalTrials.gov study NCT04096560. IPD Sharing: YES. Countries: 12. Publications: 1.
Pivotal Study to Assess the Efficacy, Safety and Tolerability of Dupilumab in Patients With Moderate-to-severe COPD With Type 2 Inflammation
ClinicalTrials.gov study NCT03930732. IPD Sharing: YES. Countries: 24. Publications: 5.
Study of SAR421869 in Participants With Retinitis Pigmentosa Associated With Usher Syndrome Type 1B
ClinicalTrials.gov study NCT01505062. IPD Sharing: YES. Countries: 2. Publications: 1.
Extension Study of Secukinumab Prefilled Syringes in Subjects With Moderate to Severe Chronic Plaque-type Psoriasis Completing Preceding Psoriasis Phase III Studies With Secukinumab
ClinicalTrials.gov study NCT01544595. IPD Sharing: UNDECIDED. Countries: 26. Publications: 1.
A Study of TAK-861 in Participants With Narcolepsy Type 1
ClinicalTrials.gov study NCT05687903. IPD Sharing: YES. Countries: 12. Publications: 2.
Study of Cemiplimab in Patients With Type of Skin Cancer Stage II to IV Cutaneous Squamous Cell Carcinoma
ClinicalTrials.gov study NCT04154943. IPD Sharing: YES. Countries: 3. Publications: 2.
Long-term Safety and Efficacy Study of DX-2930 (SHP643) to Prevent Acute Angioedema Attacks in Patients With Type I and Type II HAE
ClinicalTrials.gov study NCT02741596. IPD Sharing: YES. Countries: 7. Publications: 5.
Study of Efficacy and Safety of Secukinumab in Subjects With Moderate to Severe Chronic Plaque-type Psoriasis
ClinicalTrials.gov study NCT03066609. IPD Sharing: UNDECIDED. Countries: 6. Publications: 1.
Pivotal Study to Assess the Efficacy, Safety and Tolerability of Dupilumab in Patients With Moderate to Severe COPD With Type 2 Inflammation
ClinicalTrials.gov study NCT04456673. IPD Sharing: YES. Countries: 29. Publications: 2.
Study of Oral cMET Inhibitor INC280 in Patients With EGFR Wild-type (wt), Advanced Non-small Cell Lung Cancer (NSCLC) (Geometry Mono-1)
ClinicalTrials.gov study NCT02414139. IPD Sharing: YES. Countries: 20. Publications: 3.
A Study to Assess the Safety and Efficacy of SAR425899 in Patients With Type 2 Diabetes Mellitus
ClinicalTrials.gov study NCT02973321. IPD Sharing: YES. Countries: 8. Publications: 2.
VERIFY:A Study to Compare Combination Regimen With Vildagliptin & Metformin Versus Metformin in Treatment-naïve Patients With Type 2 Diabetes Mellitus
ClinicalTrials.gov study NCT01528254. IPD Sharing: YES. Countries: 34. Publications: 5.
4 Year Extension Study of Efficacy and Safety of Secukinumab in Patients With Moderate to Severe Chronic Plaque-type Psoriasis
ClinicalTrials.gov study NCT01640951. IPD Sharing: UNDECIDED. Countries: 15. Publications: 1.
Data from: Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study
<p><span><span>Type 2 diabetes (T2D) is a global public health challenge. Whilst the advent of genome-wide association studies has identified >400 genetic variants associated with T2D, our understanding of its biological mechanisms and translational insights is still limited. The EPIC-InterAct project, centred in 8 countries in the European Prospective Investigations into Cancer and Nutrition study, is one of the largest prospective studies of T2D. Established as a nested case-cohort study to investigate the interplay between genetic and lifestyle behavioural factors on the risk of T2D, a total of 12,403 individuals were identified as incident T2D cases and a representative sub-cohort of 16,154 individuals was selected from a larger cohort of 340,234 participants with a follow-up time of 3.99 million person-years. We describe the results from a genome-wide association analysis between more than 8.9 million SNPs and T2D risk among 22,326 individuals (9,978 cases and 12,348 non-cases) from the EPIC-InterAct study. The summary statistics to be shared provide a valuable resource to facilitate further investigations into the genetics of T2D. </span></span></p>
Exploratory analysis using machine learning of predictive factors for falls in persons with type 2 diabetes: A Longitudinal Study
<p>The risk of falls in elderly individuals with diabetes was reported to be 1.5 - 3 times higher than in those without diabetes. However, it is not clear what risk factors are strongly related to falls in those with diabetes. In this study, we aimed to investigate the status of falls and to identify important risk factors for falls in persons with type 2 diabetes (T2D) including the non-elderly. Participants were 316 persons with T2D who were admitted to the University of Tsukuba Hospital for treatment of diabetes. They were assessed for medical history, laboratory data and physical capabilities during the hospitalization and were given a questionnaire on falls one year after discharge. Two different statistical models, logistic regression and random forest classifier, were used to investigate important predictors of falls. The response rate to the survey was 72%; of the 226 respondents, there were 129 males and 97 females (median age 62 years). The fall rate during the first year after discharge was 19% and increased with age; fall rates were 17% for those <60 years, 20% for those aged 60 – 69 years and 24% for those ≥70 years. Logistic regression revealed that knee extension strength (β= -0.698, P = 0.002), fasting C-peptide (F-CPR) level (β= 0.492, P = 0.009) and dorsiflexion strength (β= -0.432, P = 0.047) were independent predictors of falls. The random forest classifier placed knee extension strength (covariate importance = 0.304), grip strength (0.234), F-CPR level (0.232) and dorsiflexion strength (0.230) in the top 4 important variables for falls. The rate of falls in persons with T2D was high even in middle age. Lower extremity muscle weakness as well as elevated F-CPR levels and reduced grip strength were shown to be important risk factors for falls in T2D.</p>
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.