This database contains facial images of volunteers in frontal and random poses. Each facial image collection has a visible light image, an infrared image and a depth image.
The images in this database version were collected by a single person during the period of December 17 2018 to 01 July of the year 2019 at Univali University.
This dataset was created with the approval of CEP (Research Ethics Committee) from University of Itajaí Valley - Brazil with CAAE (Certificate of Presentation of Ethical Appreciation) number: 97615018.9.0000.012.
The V2 database contains:
1600 facial image samples (approximately)
a frontal image (VIS, IR, DEPTH) by volunteer
an image (VIS, IR, DEPTH) with a face turned to the right by a volunteer
an image (VIS, IR, DEPTH) with a face turned to the left by a volunteer
an image (VIS, IR, DEPTH) with a face turned up by a volunteer
an image (VIS, IR, DEPTH) with a face turned down by a volunteer
an image (VIS, IR, DEPTH) with random pose by volunteer
The images in this database version were collected by a single person during the period of October 10 to 27 of the year 2017. 8 classes in the computer science course at UNIVALI University were invited to participate in this paper, where 64 accepted to participate in this work.
The V1 database contains:
267 facial image samples
267 facial images of the visible light spectrum
267 facial images of the infrared spectrum (corrupted)
267 depth images (3D)
Data used in 'Effects of predator cues and pesticide resistance on the toxicity of a (bio)pesticide mixture' in Pest Management Science. (Authors: Vienna Delnat, Lizanne Janssens & Robby Stoks; DOI: 10.1002/ps.5658) Abbreviations: CPF - chlorpyrifos, IA - independent action model, Bti - Bacillus thuringiensis israelensis, Cues - predator cues.
A corpus linguistics built to study the language of computational architecture, or architecture which focuses on technology developments.
The corpus includes: (1) the volume titles, titles of articles and introduction keywords for the journal Architectural Design (AD) to retrieve keynotes in theoretical discourse, and (2) titles and abstracts of winning and honourable mentions of the eVolo Skyscraper competition to retrieve words in conceptual project titles and their descriptions.
This dataset has around 100.000 words and can serve as a basis for quantitative, qualitative or mixed method analysis of the language used in AD and the eVolo skyscraper competition between 2005 and 2019. As AD is recognized as one of the journals focusing on the 'digital turns' in architecture, and eVolo is a the most prestigious architecturalcompetition which
It includes .txt and .csv files as well as .svg and wordclouds.
Datasets are included in folders according to the figures in the manuscript "The Immunology of Multisystem Inflammatory Syndrome in Children with COVID-19.".
This project used multiple omics data from Plasma protein expression (Olink - NPX values), FACS and Autoantibodies.
Project is created with RStudio version: 3.6.2.
Single cell transcriptomes from functionally-intact human retina and light-responsive human retinal organoids with functional synapses. Includes organoids aged from 6 to 46 weeks and a longitudinal time series of ischemia in the human retinal periphery.
Human organoids recapitulating the cell-type diversity and function of their target organ are valuable for basic and translational research. We developed light-sensitive human retinal organoids with multiple nuclear and synaptic layers, and functional synapses. We sequenced the RNA of 285,441 single cells from these organoids at seven developmental time points and from the periphery, fovea, pigment epithelium and choroid of light-responsive adult human retinas.