The dataset has developed for the cross-sectional study conducted from January to June 2018 in three randomly selected tertiary hospitals. All the children diagnosed and treated at those hospitals during the study period were eligible for this study. Measures included socio-demographic attributes, financial burden, personal strain, social impact, mastery, and treatment cost. Face-to-face interview was conducted among 242 parents using a semi-structured questionnaire based on (i) About you and your-family and (ii) the Impact-On-Family scale. High scores of the scale correlated to high impact. Informed written consent was obtained from the parents.
The database is based on eight common tomato pests, including (1) Tetranychus urticae, (2) Bemisia argentifolii, (3) Zeugodacus cucurbitae, (4) Thrips palmi, (5) Myzus persicae, (6) Spodoptera litura, (7) Spodoptera exigua, and (8) Helicoverpa armigera.
The original images were collected from IPMImages database (https://www.ipmimages.org/index.cfm), National Bureau of Agricultural Insect Resources (NBAIR) (https://www.nbair.res.in /Databases/insectpests/index.php) and Google search. The image database contains 609 original images in 8 categories, and is amplified using image enhancement technology to have a total of 4263 images after enhancement. Image enhancement technologies include 90 degree rotation, 180 degree rotation, 270 degree rotation, horizontal flip, vertical flip and crop. Finally, the image size is unified in 299*299 and the image format is in .JPG file.
This database is divided into two datasets for tomato leaf images according to different image sources. The tomato leaf images of the first dataset are selected from the PlantVillage database with ten categories (nine disease categories and one health). Each image is composed of a single leaf and a single background, for a total of 14,531 images. After combining the original tomato leaf images and deleting unnecessary categories, we then adjusted the image size from 256 * 256 to 227 * 227. Afterwards, this database is divided into five subsets of 5-fold cross-validation. The detailed categories of the first dataset are:
(1) Bacterial spot,
(2) Early blight,
(4) Late blight,
(5) Leaf Mold,
(6) Septoria leaf spot,
(7) Target Spot,
(8) Tomato mosaic virus,
(9) Tomato yellow leaf curl virus,
(10) Two-spotted spider mite
The second dataset is images of Taiwan tomato leaves, with six categories (five disease categories and one health). It consists of a single leaf, multiple leaves, a single background and a complex background. We have 622 original images. The size of the picture is different, and we unified the image size to 227 * 227. Then we use data augmentation method to increase the number of pictures, including clockwise rotation with 90 degrees, 180 degrees, and 270 degrees; horizontal mirroring, vertical mirroring, reducing image brightness and increasing image brightness, etc. There are 4,976 images after data enhancement. The detailed categories of the second dataset are:
(1) Bacterial spot,
(2) Black leaf mold,
(3) Gray leaf spot,
(5) Late blight,
(6) Powdery mildew
Contributors:Erik Tihelka, Michael Engel, Diying Huang, Chenyang Cai
Mimicry is ubiquitous in nature, yet understanding its origin and evolution is complicated by the scarcity of exceptional fossils that enable behavioural inferences about extinct animals. Here we report bizarre true bugs (Hemiptera) that closely resemble beetles (Coleoptera) from mid-Cretaceous amber. The unusual fossil bugs are described as Bersta vampirica gen. et sp. nov. and B. coleopteromorpha gen. et sp. nov., and are placed into a new family, Berstidae fam. nov. The specialised mouthparts of berstids indicate that they were predaceous on small arthropods. Their striking beetle-like appearance implies that they were either involved in defensive mimicry or mimicked beetles to attack unsuspecting prey. The latter represents the first case of aggressive mimicry in the invertebrate fossil record. This rare example of fossilised behaviour enriches our understanding of the palaeoecological associations and extinct behavioural strategies of Mesozoic insects.
Contributors:Quinn Reynolds, Markus Erwee, Oliver Oxtoby, Driaan Bezuidenhout
A dataset of high-speed video footage of mercury droplets settling through liquid media of which the viscosity is different, is presented. The video footage taken was at 4000 frames per second for mercury droplets at room temperature (25 °C) settling through either deionised water or silicone oil. The data set is useful for validation of computational models of a wide range of problems which include phase separation studies, settling behaviour as well as interfacial phenomena in liquid-liquid system.