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)
Contributors:Wypych Tomasz, Pattaroni Celine, Marsland Benjamin
The constituents of the gut microbiome are determined by the local habitat, which itself is shaped by immunological pressures, such as mucosal IgA. Using a mouse model of restricted antibody repertoire, we identified a role for antibody-microbe interactions in shaping a community of bacteria with an enhanced capacity to metabolize L-tyrosine. This led to increased levels of p-cresol sulfate (PCS) that protected the host against allergic airway inflammation. PCS selectively reduced CCL20 production by airway epithelial cells, due to an uncoupling of EGFR and TLR4 signaling. Together, these data reveal a gut microbe-derived metabolite pathway that acts distally on the airway epithelium to reduce allergic airway responses, such as those underpinning asthma.
Contributors:DIEGO VISCO, Toscano Ana Elisa , pedro romero, Gouveia Henrique , Guzman Quevedo Omar et al
Dataset for "A systematic review of neurogenesis in animals models of early brain damage: implications for cerebral palsy".
The dataset includes the systematic review protocol (PROSPERO), the search strategy used in each database, the reference list of 2329 articles found in databases, the exclusion reasons of "title and abstract screening phase" and "full-text screening phase", the reference list of included studies and the piloted form used for data extraction in the included studies
This data set captures the problems faced by electricity customers in Delta, State Nigeria. The data was collected by means of a well structured questionnaire that was implemented by well trained interviewers in a field survey. Nigeria is currently bedeviled by a plethora of problems especially in the distribution aspect of the power sector. The data set captures data in both urban and rural areas of Delta State cutting across the three Senatorial Districts. Local Government Headquarters were designated as urban areas whiles villages were taken as rural areas. The data contains information on customers biodata and their experiences with the services of their electricity distribution company. The data set also contains information about the observed problems with the services of the distribution company,
Respondents in the survey were asked to score positive statements bordering on their experience with the distribution company on a five-point scale indicating their experience with the distribution company. Respondents were also required to score observed problems with the services of the distribution company on a scare of 0 to 10 inclusive depending on the severity of the problem. A score of zero meaning that the problems in limited while a score of 10 means that the problem is severe, The data set are presented in two different formats i.e. Microsoft Excel and IBM SPSS database format.
The Table S includes the information of the fitting peak area, which is used to calculate the peak area ratio of ν1(SO42−) and νs(H2O). The error of each fitted component given by PeakFit is in Table E. The total error of the peak area ratio, ν1(SO42−)/νs(H2O), was then calculated based on the errors of each fitted component and the rules of error propagation, and the results are shown in Table E.
This dataset contains experimental primary adsorption data obtained from a fully packed bed (FPB) and three Z-annulus packed bed configurations. The three Z-annulus packed bed configurations are described by their annular dimensions as small (SAPB), medium (MAPB) and large (LAPB) corresponding to diametrical ratios (Do/Di) of 2, 2.35 and 3.08, respectively. The packed beds were filled with silica gel (Silicon Dioxide/SiO2) of particle size between 3.35mm-4.75mm.
The dataset contains temperature data from three mass transfer zones (MTZ) designated on the packed beds and their adjoining walls. The temperatures from the mass transfer zones and corresponding walls were obtaining using Omega K-type thermocouples. The inlet and outlet air conditions of temperature, velocity and relative humidity were obtained using Sentry ST732 Hotwire Anemometers and AZ 8829 Temperature and RH% data loggers. Inlet and outlet pressures were obtained using QEALY differential pressure meter connected to the Yokogawa MV2000 Data Logger. They were obtained as electrical pulses in Voltage and then converted into Pascal’s using manufacturer provided conversion factor. The inlet conditions were setup using a purpose-built air mixing box incorporating a convective fan and humidifier.
The dataset has four spreadsheets captioned FPB Primary Data, LAPB Primary Data, MAPB Primary Data and SAPB Primary Data, respectively. On each spreadsheet are the measured parameters in colour codes along with their units. From this primary data, the humidity ratio, amount of moisture removed (adsorption capacity), and pressure drops can be determined using appropriate correlations. The typical adsorption profile can also be determined using this data.