Data for: Research on vision-based tile recognition algorithms for robot grasping task in EAST tokamak
Contributors: Jiasheng Liu
... Data for the 100 experiments to test robustness of the proposed algorithm to fallen location.
Contributors: Philippe Giguère, Jonathan Gaudreault, Mathieu Carpentier
... (Part 4 out of 4) 23,000 cropped images of tree bark, for 23 species of trees around Quebec City, Canada. The images were captured at a distance between 20-60 cm away from the trunk. Labels include: individual tree ID, its species, and its DBH (diameter at breast height). Pictures were taken with four different devices: Nexus 5, Samsung Galaxy S5, Samsung Galaxy S7, and a Panasonic Lumix DMC-TS5 camera. The dataset is sufficiently large to train a Deep network such as ResNet for species recognition.
Contributors: Patricia Sawamura, Nicholas Pringle
... Internal testing - Mendeley data - fake data
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Contributors: Laisuo Su
... The data here includes necessary information for the MWR-assisted surface engineering project we worked on.
Contributors: Laura Newsome
... Data associated with manuscript 'Manganese and cobalt redox cycling in laterites; biogeochemical and bioprocessing implications'
Contributors: Berith Atemoztli De la cruz - Sanchez, Manuel Arias - Montiel, Esther Lugo - González
... The data were collected with the MYO armband for four different hand movements: fist, cylindrical grip, spherical grip and tip pinch. 225 tests were obtained from different users for each movement and a total of 900 tests for the four movements. Each Prueba*** file corresponds to a different person. The age range is 20 to 45 years of the male and female gender. Each of the tests contains 9 different attributes. The first eight columns correspond to each of the sEMG sensors, column 9 contains sampling time information. Each test includes 998 samples per sensor. The total time sampled was 5 seconds for each movement.
Contributors: Maribeth Stolzenburg
... Electric field change data, source locations for the first millisecond, and video images shown in the manuscript entitled "On the transition from initial leader to stepped leader in negative cloud-to-ground lightning" [authors M. Stolzenburg, T.C. Marshall, S. Karunarathne] are included.
Contributors: Alexandre de Pontes Nobre, Andrey R. Nikolaev, Johan Wagemans
... Behavioral and electroencephalography (EEG) data were recorded in an inattentional blindness paradigm. Thirty participants performed a demanding, attention-capturing task in which they had to detect an occasional decrement in the luminance of small discs. Crucially, numerous white segments in the background were presented either in random orientations or configuring a contour shape of a square or a diamond. EEG was recorded using a Geodesic Sensor Net with 256 Ag/AgCl scalp electrodes with a high input impedance amplifier (EGI, a Philips company, Eugene, OR, USA). The participants’ awareness about these background configurations was tested with a questionnaire after the first and second sessions. On the basis of the questionnaire test, participants were divided into “aware” and “unaware” groups. These data may be of interest for researchers who wish to understand attentional effects on Gestalt integration processes, as well as luminance discrimination.
Data for: Jiadifenolide induces expression of cellular communication network factor (CCN) genes, and CCN2 possesses neurotrophic activity in neuronal precursor cells derived from human induced pluripotent stem cells
Contributors: Takashi Kuzuhara
... Jiadifenolide induces expression of cellular communication network factor (CCN) genes, and CCN2 possesses neurotrophic activity in neuronal precursor cells derived from human induced pluripotent stem cells Jiadifenolide has been reported to have neurotrophin-like activity in primary rat cortical neurons, and also possesses neurotrophic effects in neuronal precursor cells derived from human induced pluripotent stem cells (hiPSCs), as we have previously reported. However, the molecular mechanisms by which jiadifenolide exerts its neurotrophic effects in rat and human neurons are unknown. Thus, we aimed to investigate the molecular mechanisms and pathways by which jiadifenolide promotes neurotrophic effects. Here, we found that jiadifenolide activated cellular communication network factor (CCN) signaling pathways by up-regulating mRNA level expression of CCN genes in human neuronal cells. We also found that CCN2 (also known as connective tissue growth factor, CTGF) protein promotes neurotrophic effects through activation of the p44/42 mitogen-activated protein kinase (MAPK) signaling pathway. This is the first discovery which connects neurotrophic effects with CCN signaling.
Contributors: Lise Dauban, Remi Montagne, Agnes Thierry, Luciana Lazar-Stefanita, Nathalie Bastié, Olivier Gadal, Axel Cournac, Romain Koszul, Frédéric Beckouet
... Raw microscopy images used in the study