Contributors:Lilian Franco-Belussi, Diogo Borges Provete, Rinneu Borges, Classius de Oliveira, Lia Raquel Santos
This dataset comprehends data and and associated R code used to run the analysis for the paper. We also include an R Markdown Dynamic document. We tested whether the amount of melanomacrophages and hepatic cellular catabolism substances are influenced by land use changes in the Brazilian Cerrado. Data contains the Environmental matrix (Q) composed of the land use classes for each samplimg site, species trait (R) matrix with content of each pigment in cells, averaged from all individuals, and species composition matrix (L) with the species incidence in all sampling sites.
The present dataset includes data and figures relative to the submitted paper " Detection of formation boundary using transient multicomponent electromagnetic logging while drilling method " currently under review in Journal of Petroleum Science and Engineering.
Contributors:Giovanni Caudullo, Erik Welk, Jesús San-Miguel-Ayanz
The data are organized as a set of ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) mapping the distribution ranges of the main European tree and shrub species. For each species and in some cases subspecies, one or more shapefiles have been created containing: a) polygon features (name suffix “plg”), which define continuous areas of occupancy of the species range and b) point features (name suffix “pnt”), which identify more fragmented and isolated populations. For species with reported synanthropic occurrences outside the natural range, an additional point and/or polygon shapefile has also been created (suffix “syn”). Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix “clip”), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com). Finally, an accompanying text document is included with the data, which provides more details on methodology and a list of all mapped species with related file names, taxonomical delimitation of the mapped species and references used to compile the respective chorological dataset.
The data presented in this article is to examine the product development of teaching materials used in learning evaluation courses on students in elementary school education study programs in Indonesian private institutions. The research activities were carried out at Kuningan University, West Java, Indonesia. The total population of students elementary school on an education study program in the learning evaluation course was 108 students in classes A, B, C. This research uses the entire population to see the feasibility and effectiveness of learning material development products. The research method used is research and development developed by Borg & Gall. Moreover, the researcher modifies the development model by paying attention to the process of developing learning products and validating development products. Feasibility analysis and validation were carried out by learning evaluation experts using descriptive statistical analysis techniques, data analysis techniques to determine the effectiveness of pre-test and post-test using normalized gain score or normalized gain score
This data set can be used to plot bar charts of COVID 19 incidence and estimate time dependent reproduction number in Nigeria and the six geo - political zones in the country. The data was collated from the daily COVID – 19 infections situation report in Nigeria numbers 01 – 89 from the 28th of February to 27th of May 2020 downloaded from the country’s Nigeria Centre for Disease Control (NCDC) website (https://ncdc.gov.ng/diseases/sitreps/?cat=14&name=An%20update%20of%20COVID-19%20outbreak%20in%20Nigeria ). The data files in .csv are presented with r codes that can be used to recreate the analysis. We used the R software version 3.6.1 to draw a combine bar plot of COVID 19 incidence in Nigeria and across the six geo - political zones. We estimated the TD - R0 for the country and the six geo - political zones in the country using the EpiEstim package and tested the fitness in the pattern of distribution of the estimated TD - R0 across the six geo - political zones in the country using the Kolmogorov - Smirnov test adjusting for Type 1 error.
Contributors:Adrian daSilva-deAbreu, Bader Aldeen Alhafez, Yuhamy Curbelo-Peña, Carl J. Lavie, Hector O. Ventura, juan Loro Ferrer, Stacy A. Mandras
This is the raw data captured for a systematic review and individual participant data (IPD) meta-analysis evaluating the trends in body mass indices of obese patients with end-stage heart failure (ESHF) with ventricular assist devices (VADs) after undergoing bariatric surgery (BS).
A systematic search was performed in ClinicalTrials.gov, Cochrane, Embase and PubMed on November 23rd, 2019. Additional searches were conducted in Google Scholar, websites of the most important journals for ESHF and BS, which also contained the proceedings of the most relevant scientific meetings in such specialties:
-The Journal of Heart and Lung Transplantation
-Journal of Cardiac Failure, Obesity Surgery
-Surgery for Obesity and Related Diseases
-Journals of following groups (journal families):
--Journal of the American College of Cardiology
--European Heart Journal
These searches were performed at different before April 20th, 2020. Multiple official indexing terms and additional relevant terms for VADs and BS were used.
Studies were selected if they reported IPD for the postoperative BMI of VAD patients after undergoing BS. Only patients with VAD support at the time of BS were included in the study.
References selection, and data extraction were performed independently and in parallel by two investigators. In cases of disagreements, consensus was attempted through discussion, but if that was not achieved, a third investigator helped to solve the tie by simple majority.
This database contains the most relevant variables from an ESHF and BS stand point.
More details about data description and analyses can be found in the meta-analysis and data publication related to this project.
97 red sweet peppers (cultivar: Banji; seed company: Efal) and 102 yellow sweet peppers (cultivar: Liri; Seed company: Hazera) from maturity classes 1–4 were harvested from a commercial greenhouse in Kmehin, Israel in January 2019. Each pepper was manually placed inside a photocell, to ensure uniform illumination; each of the four photocell sides included three light-emitting diodes (LED) spots of 35 watts each , resulting in total illumination of 49 lux. Images were acquired using an IDS Ui-5250RE RGB color camera with a resolution of 1600 x 1200 pixels, placed 38 cm above the black cell floor. Images of each pepper were acquired from four viewpoints: three from the sides of the peppers, taken in no particular order, and the bottom viewpoint of the pepper.
69 red and 70 yellow peppers from maturity classes 2, 3, and 4 were harvested from the same commercial greenhouse in Kmehin, Israel, in November 2019. No peppers were collected from class 1 since we assumed that immature peppers that are entirely green would not be detected by a harvesting robot.
Each pepper was individually attached to a pepper plant at a random orientation in a lab environment without controlled illumination. The peppers were attached to the plant hanging down straight in a way that does not create occlusion by leaves or stems and prevents overlap between peppers. Images for each pepper were acquired from three side viewpoints from the same height. No pictures of the bottom viewpoint were taken since it is not always feasible for harvesting robots due to plant parts that prevent the robot from reaching the pepper from the bottom. The images were acquired using an Intel RealSense D435 RGB-D (color + depth) camera mounted on a Sawyer robotic 7-degree-of-freedom torque-controlled arm from Rethink Robotics. Automatic exposure and white-balance were enabled. The use of the robotic arm enables images from the three viewpoints to be made from the same pose for all peppers.
The dataset, which is published as part of this paper, resulted in 417 RGB-D images of the different sides of the peppers and the whole pepper ground truth information of their maturity class.
As part of the ‘robotic’ dataset collection, 14 red peppers and 14 yellow peppers from maturity classes 2 and 3 (seven from each of class) were taken from the peppers harvested for the robotic dataset. Each pepper was placed hanging straight down in a random orientation on a pepper plant in the lab. Images from three viewpoints were acquired for each pepper three times, and each time the pepper was twisted 120˚ clockwise around the z-axis, resulting in a different surface of the pepper facing the camera from the initial viewpoint. This collection produced a dataset of 252 RGB images.