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Search For Studies Using Animal Models Of Neuropathic Pain
负责人:
关键词:
Neuropathic pain, in vivo modelling, systematic review, text-mining
DOI:
doi:10.5281/zenodo.35448
摘要:
manual screening to train the machine, where machine-learning software set rules to automatically define each publication as included or excluded
Data from: Measuring engagement in advance care planning: a cross-sectional multicentre feasibility study.
负责人:
关键词:
survey;communication;advance care planning;measurement
DOI:
doi:10.5061/dryad.1ng8c
摘要:
Objectives: To assess feasibility, acceptability, and clinical sensibility of a novel survey, the Advance Care Planning (ACP) Engagement Survey
Chitwan Valley Family Study: Labour Outmigration, Agricultural Productivity and Food Security, Nepal, 2015-2017;;LOAF;;Version 2
负责人:
关键词:
DOI:
doi:10.3886/icpsr36755.v2
摘要:
Family Study. Dataset 19: The Season 1 Women's Participation in Farming Survey was administered to 2,421 Nepalese women from farm households who par
Data from: A novel protocol for studying bee cognition in the wild
负责人:
Muth, Felicity
关键词:
behaviour cognition field bumblebee honeybee Bombus Apis
DOI:
doi:10.5061/dryad.c2k5t
摘要:
-Moving Proboscis Extension Response [FMPER]) to measure wild bees’ colour preferences, learning performance, and memory. 3.We first used lab-rear
Data from: Has open data arrived at the British Medical Journal (BMJ)? An observational study
负责人:
关键词:
reproducibility;Data sharing;Research Integrity;Open science;Open data
DOI:
doi:10.5061/dryad.q8s5k
摘要:
and examine barriers towards data sharing. Design: Observational study. Setting: The BMJ research archive. Participants: 160 randomly sampled BMJ resear
Data from: An automated approach to the quantitation of vocalizations and vocal learning in the songbird.
负责人:
关键词:
Lonchura striata domestica
DOI:
doi:10.5061/dryad.8tn4660
摘要:
of songbird vocalizations, complex learned behaviors the study of which has provided many insights into sensory-motor learning in general and vocal learning
Data from: Development and validation of warning system of ventricular tachyarrhythmia in patients with heart failure with heart rate var
负责人:
关键词:
implantable-cardioverter defibrillator;Prediction;ventricular tachyarrhyhtmia;Machine Learning;nonlinear dynamics
DOI:
doi:10.5061/dryad.3f9r8r6
摘要:
and different HRV features are extracted. Machine learning algorithms, including random forests (RF) and support vector machines (SVM), are trained on these
Data from: Automatic recognition of self-acknowledged limitations in clinical research literature
负责人:
关键词:
self-acknowledged limitations;clinical research literature;Natural Language Processing;research transparency
DOI:
doi:10.5061/dryad.06ds7
摘要:
the training set in order to improve classification performance. The machine learning algorithms used were logistic regression (LR) and support vector machines (SVM)
Data from: Endozoochorous dispersal of forest seeds by carnivorous mammals in Sierra Fría, Aguascalientes, Mexico.
负责人:
关键词:
DOI:
doi:10.5061/dryad.f7m0cfxrw
摘要:
of the study was to evaluate the dissemination of Arctostaphylos pungens and Juniperus deppeana seeds by the grey fox (Urocyon cinereoar
United States Agriculture Data, 1840 - 2012;;Version 2
负责人:
关键词:
DOI:
doi:10.3886/icpsr35206.v2
摘要:
This collection includes county-level data from the United States Censuses of Agriculture for the years 1840 to 2012. The files provide data

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