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  1. mesi_template.csv: empty table for data contributions, with main table headers. mesi_methods_comments.csv: table with methodological information on how response variables were measured per data point, and further comments for data interpretation. wide_long_conversion.R: code for converting the default main table from wide to long data format.

  2. 23. Juni 2020 · June 23, 2020. A large dataset of routinely acquired maternal-fetal screening ultrasound images collected from two different hospitals by several operators and ultrasound machines. All images were manually labeled by an expert maternal fetal clinician. Images are divided into 6 classes: four of the most widely used fetal anatomical planes ...

  3. 23. Juni 2020 · Abstract. A public dataset of 12.400 maternal-fetal ultrasound images. (Data used in paper Burgos-Artizzu, X.P., et al. Evaluation of deep convolutional neural networks for automatic ...

  4. Setting up musdb. Import the musdb package in your main python function and iterate over the 7 seconds musdb tracks: import musdb mus = musdb. DB ( download=True ) mus [ 0 ]. audio. To use the full dataset, set a dataset root directory. mus = musdb. DB ( root="/path/to/musdb) where root is the path to the MUSDB18 dataset root folder.

  5. xi i eaki Vi 42 iv Introduction to Edition 4.2 (2023) of Exploring Public Speaking Exploring Public Speaking: The Open Educational Resource College Public Speaking Textbook began as the brainchild of Dr. Kris Barton,

  6. 28. Okt. 2021 · Dieses Informationspapier des Ausschusses für wissenschaftliche Literaturversorgungs- und Informationssysteme (AWBI) der Deutschen Forschungsgemeinschaft (DFG) zum Thema Datentracking bei digitalen wissenschaftlichen Ressourcen beschreibt Möglichkeiten der digitalen Nachverfolgung von wissenschaftlichen Aktivitäten. Es legt die Transformation von Wissenschaftsverlagen hin zu Data Analytics ...