Filter Results
137303 results
Research data of "Characteristics of methane-air combustion with rotating gliding arc discharge plasma assistance"
Data Types:
  • Dataset
  • File Set
MATLAB files for recreation of a HIL setup in a simulation environment. Use Matlab 2017b or later to run the simulation. Execute Simulation.m to start simulation.
Data Types:
  • Dataset
  • File Set
We study productivity and welfare provision in three megacities, Beijing, Shanghai and Guangzhou in China. We developed an economic model, which regards individuals as both consumers of private and public goods and suppliers of labor in the production process, operating within the Hukou system which constrains entitlement to public goods and services for internal migrants. We, thus, explored the impact of restricting migrants’ access to public goods and services on their overall utility and utility derived from using key public services, analyzed how such restrictions distort effects of income on utility, and established a trade-off between megacity residency and productivity of the sectors employing them. Given the similarities between limits to public provision impose through Hukou in China and various entitlement restrictions endured by international migrants in other countries, our study has the potential to inform wider international debates. We collected survey responses from 1,500 individuals from these three megacities and validated the key implications of the model. Being a migrant adversely affected overall life satisfaction (utility) and satisfaction with public services. Migrants were likely to accept lower pay in exchange for megacity residency, thus they experienced a welfare loss due to skill mismatch despite potential welfare gains from better access to public services through residency in a megacity. Migrants’ residency value is also positively related to the technology of the sector employing them, a finding perhaps explaining why high-tech sectors could sponsor Hukou transfer.
Data Types:
  • Dataset
  • File Set
the QoS-WSC test data-set is introduced and provided for the researchers, to be used for QoS-aware web-services discovery and composition. Service specification files (WSDL files) of this data-set have been generated by injecting QoS index vectors into service specification files of the WSC05 data-set. The injected QoS index vectors have been randomly picked from the QWS ver2.0 data-set. For generating service discovery and composition requests, the QoS importance coefficients vector has also been added to requests available in the WSC05 data-set. The optimal answer is also calculated and recorded for each request.
Data Types:
  • Dataset
  • File Set
During the 7~9th century, the Tibetan Empire constituted a superpower between Tang Empire and the Abbasid Caliphate: one that played a significant role in geopolitics in Asia during the Early Medieval Period. It is unclear what factors led to the rise and rapid decline of this powerful empire: the only united regime in the Tibetan history. We present sub-annual scale precipitation and decadal-scale temperature records in the central Tibetan Plateau, indicating that the height of this empire coincided with a two centuries long interval of uncharacteristically warm and humid climate. The ameliorated climate enabled the expansion of arable land and increased agricultural production. This has implications for agricultural production in alpine regions including Tibetan Plateau in context of current global warming. The elevation data of the Tibetan Plateau (26°00’-39°47’N, 73°19’-104°47’E) was downloaded for the GDEMDEM 30M digital elevation data from the Geospatial Data Cloud (http://www.gscloud.cn/sources/list_dataset/421?cdataid=302&pdataid=10&datatype=gdem_utm2#dlv=Wzg4LFswLDEwLDEsMF0sW1siZGF0YWlkIiwxXV0sW10sOTld). Because the dataset is 3.48 GB in zipped format (14.98GB in raster format), which can be downloaded from the original website. If there are any problems, please contact us directly.
Data Types:
  • Dataset
  • File Set
This zip file contains data and codes of manuscript "Maximum Frequency Deviation Assessment with Semi-Supervised Clustering based on Metric Learning". It consists of 4 folders: (1) example_system folder: IEEE 39-bus model and simplified provincial power system of China in PSS/E format. (2) codes_to_generate_samples folder: Python codes to generate samples of the two systems in the example_system folder. (3) samples folder: samples generated with codes in the codes_to_generate_samples folder. In the manuscript, 10,000 samples were generated. However, only 1,000 samples are uploaded here to save space. (4) codes_for_machine_learning: codes for implementing the model proposed in this manualscript.
Data Types:
  • Dataset
  • File Set
Data used to generate figures in the manuscript, excluding RNA-seq and ChIP-seq data, which can instead be downloaded from Gene Expression Omnibus: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE122456.
Data Types:
  • Dataset
  • File Set
The research data includes: the original spectrogram and visualized feature image; the denoised spectrogram; the cropped spectrogram;; results of deep-learning models; the result of this article(Result of experiment); core code; and the core code.
Data Types:
  • Dataset
  • File Set
MATLAB simulation code and scripts reproducing all figures in Tikhonov, Kachru, Fisher (2020), "A model for the interplay between tradeoff plasticity and evolution in changing environment". Optional pre-computed simulation data included to speed-up figure plotting; remove or rename any data file to rerun the relevant simulations from scratch.
Data Types:
  • Dataset
  • File Set
This dataset contains 26 sub-datasets of common distribution, including Beta, Exponential, Log-Normal, Normal, Triangular, Uniform, bi-modal. The size of datasets varying from 1000 points to 1 million points. The distributions are generated with various parameter settings.
Data Types:
  • Dataset
  • File Set
8