Filter Results
13658221 results
This dataset represents a high resolution urban land cover classification map across the southern California Air Basin (SoCAB) with a spatial resolution of 60 cm in urban regions and 10 m in non-urban regions. This map was developed to support NASA JPL-based urban biospheric CO2 modeling in Los Angeles, CA. Land cover classification was derived from a novel fusion of Sentinel-2 (10-60 m x 10-60 m) and 2016 NAIP (60 cm x 60 cm) imagery and provides identification of impervious surface, non-photosynthetic vegetation, shrub, tree, grass, pools and lakes. Land Cover Classes in .tif file: 0: Impervious surface 1: Tree (mixed evergreen/deciduous) 2: Grass (assumed irrigated) 3: Shrub 4: Non-photosynthetic vegetation 5: Water (masked using MNDWI/NDWI) A portion of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Support from the Earth Science Division OCO-2 program is acknowledged. Copyright 2020. All rights reserved.
Data Types:
  • Image
  • Dataset
Julia code used to simulate the data presented in "Surface Temperature Estimation in Determined Multi-Wavelength Pyrometry Systems"
Data Types:
  • Other
  • Dataset
This datasets contains the model output at 8 assimilation cycles, only mean background or mean analysis in both assimilation Experiments (Exp_all, Exp_b) are uploaded. Exp_all/analysis: the mean analysis of Exp_all Exp_all/background: the mean background of Exp_all Exp_b/analysis: the mean analysis of Exp_b Exp_b/background: the mean background of Exp_b
Data Types:
  • Other
  • Dataset
Data Types:
  • Dataset
Data Types:
  • Dataset
Data Types:
  • Dataset
All the tables and figures
Data Types:
  • Dataset
  • Document
From a sample of 391 Vietnamese respondents aged from 15 to 47 years, the present study found that geographical regions and behaviors in using social media have a positive impact on the risk perception of COVID-19 epidemic in Vietnam.
Data Types:
  • Tabular Data
  • Dataset
There is a detailed Readme.pdf in the files for the informations about the dataset. The main purpose is providing a dataset for the vibration behavior of a robot manipulator system under the control input of model-associative vibration control (MAVC) prodecure. Velocity profile is shown as [∗,𝑡𝑐𝑜𝑛,𝑡𝑑𝑒𝑐,𝑡𝑚] in study. In the case studies for both simulations and experiments, the parameters are varied as follows; 𝑡𝑐𝑜𝑛 can be valued as 0, 𝑡1ℎ or 2𝑡1ℎ, 𝑡𝑑𝑒𝑐 can be valued as 𝑡1ℎ,2𝑡1ℎ,3𝑡1ℎ,4𝑡1ℎ or 5𝑡1ℎ and 𝑡𝑚 can be valued as 1 or 1.5 seconds for corresponded 90 or 135 angular displacements. Thus thirty different velocity profiles are produced with aim to performed on system. Cases are invastigated with and without performing the MAVC procedure. Than the robot manipulator is examined for both unloaded and loaded cases, therefore total one hundred twenty cases are occured. More details can be found in related study.
Data Types:
  • Image
  • Tabular Data
  • Dataset
  • Document
Data Types:
  • Dataset
7