Contributors: Griffin Walker
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Contributors: Ling-Ling Chen
... Detailed description of this data can be accessed in Yang et al. Dynamic imaging of RNA in living cells by CRISPR-Cas13 systems.
Contributors: Roberto Ferrari
... Western blot images, immunofluorescence images and Matlab ChIP-seq analysis script
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Contributors: Prakash Acharya, Mahesh Mathur
... Supplementary figures for the article "Hidradenitis suppurativa and smoking: a systematic review and meta-analysis"
Data for: The preferred and avoidance temperatures of Cyclops kolensis Lilljeborg, 1901 and their relation to the optimal, pessimal and temperature of normal performance of the species.
Contributors: Vladimir Verbitsky, Valentina Lazareva, Elena Medyantseva, Andrey Grishanin, Olga Malysheva, Svetlana Zhdanova, Tamara Verbitskaya
... A description is given of the method for studying of the temperature preferendum of plankton organisms in a horizontal temperature gradient.
Contributors: Rubén Flores-Campos, Rosa Hilda Estrada-Ruiz, Gema Ramos-Escobedo
... Solid-liquid electrical conductivity is a tool easy to use to monitoring the quality of coal.
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.
Net power output and thermal efficiency data for single and double flash cycles of Cerro Prieto geothermal power plants
Contributors: Emilio Hernandez
... The data presented below is the thermodynamic simulation and mathematical model development for the single and double flash cycles of Cerro Prieto geothermal power plants. For more insight into analysis thermodynamic, please see "thermodynamic simulation and mathematical model for single and double flash cycles of Cerro Prieto geothermal power plants". The datasets contained in this paper are thermodynamic simulations obtained in Aspen Hysys software, the data described represents the net power output and thermal efficiency for Cerro Prieto geothermal power plants, located in Mexicali, México. A single flash and double flash cycle have been selected for power generation at this facility. The single flash net power output and the thermal efficiency data includes eight main parameters: Well temperature (°C), Separator pressure (kPa), Condenser pressure (kPa), Turbine’s power (kW), Phase Fraction, Mass Flow (kg/h), Energy input (kW) and Energy output (kW). Whereas the double flash net power output and the thermal efficiency data includes eight main parameters: Well temperature (°C), High-pressure separator (kPa), Low-pressure separator (kPa), Condenser pressure (kPa), Turbine’s power (kW), Phase Fraction, Mass Flow (kg/h), Energy Input (kW) and Energy output (kW).