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This dataset contains the primary data used in: "Multi-epoch X-ray burst modelling: MCMC with large grids of 1D simulations", Johnston et al. (2020). In this work, we interpolated and sampled a grid of 3840 KEPLER burst models using Markov Chain Monte Carlo (MCMC) methods to produce posterior distributions for the system parameters of the "Clocked Burster", GS 1826-238. Provided here is the full burst model grid and the raw MCMC sample chains. More details on the files, and how to load them, are provided in README.md
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  • Software/Code
  • Dataset
  • Text
  • File Set
Dataset for the paper entitled "Real-time command strategies for microgrids based on the Contract Collaboration Problem". You are free to use the instances in the zip file, if you cite the following work: @article{Levorato2020, author = {Levorato, M. and Figueiredo, R. and Frota, Y. and Jouglet, A. and Savourey, D.}, journal = {To be published}, title = {{Real-time command strategies for microgrids based on the Contract Collaboration Problem}}, year = {2020} } Instances description ================================= 1) full_intances: the 3 microgrid instances used in the main experiments: - A_instance2_1NDU_Cons : the *Cons* microgrid instance, with only the consumer uncertain system; - A_instance2_1NDU_Prod : the *Prod* microgrid instance, with only the producer uncertain system; - A_instance2 : the *Prod\&Cons* microgrid instance, with both uncertain systems (producer and consumer). For each instance, there are 3 files, each one for a group of randomly generated scenarios: - _1000s_skewed-left.txt : left-skewed beta distribution with parameters $\alpha=5,\beta=2$; - _1000s_skewed-right.txt : right-skewed beta distribution with parameters $\alpha=2,\beta=5$; - _1000s_uniform.txt: uniform distribution. The randomly-generated scenario values are located in the end of each file. 2) toy_sensitivity: reduces microgrid instances used in the sensitivity tests. Each file corresponds to a specific combination of model cost parameters, and the filename follows this mask: OC_Ct__DS_ST_NDU__.txt The parameters OC_cost, DS_cost, ST_cost follow the values listed in Table VI of the aforementioned paper. (caption: Energy cost parameters in sensitivity analysis). can be one of the 3 distributions used in the work (skewed-left, skewed-right or uniform). The used was 'default'. The used was 'default'. Again, the randomly-generated scenario values are located in the end of each file.
Data Types:
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Aedes mosquitoes are one of the mosquito genus a large impact on humans that it is the main vector of deadly infectious diseases such as microcephaly. Aedes koreicus is a mosquito, endemic to east Asia, including Korea, Japan and China. According to the available research about its native range, Ae. koreicus is able to tolerate winter temperatures lower than Ae. Albopictus and Ae. japonicus. Therefore, this species has rapidly expanded outside its native range and invaded Europe.
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Here we share our research data including four-stage Global Positioning System (GPS) results and the earthquake catalogue.
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All the data was abtained under the support of the National Science Foundation of China (Grand No: 41430317, 41402136) and the Scientific Research Foundation of Key Laboratory of Coalbed Methane Resources and Reservoir Formation Process, Ministry of Education (China University of Mining and Technology) (Grand No: 2019-009). The data file from mercury intrusion method is named by "data of MIP", the data file from N2 and CO2 adsorption tests was entitled "data of N2 adsorption" and "data of CO2 adsorption", and the data file from permeability test is named by "20160910". The data listed here can be cited and interpreted for researching.
Data Types:
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  • Tabular Data
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The simulation program for the paper: Robust control of desalination plants using sliding mode control synthesis with observer
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This is a data set of 4,335,880 public posts published in Instagram, in the New York City area for 190 days.
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More than 200 gravity reading points along two profiles at location 1 and 2 were carried out perpendicular to the main traces of the fault in west-east profiles. The detail needed with separation between stations was 5 m. The 2D ERT data were collected along two profiles. The dipole-dipole array configuration was used with electrode spacing 3 and 5 m and the length is 141 and 235 m respectively. The 3D ERT data were collected along two profiles. The pole-pole array configuration was used with electrode and line spacing at 5 m respectively. The survey area was 115X15 m.
Data Types:
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The present study The evidence reported above supports the notion that social support both directly affects the relapse tendency of women experiencing heroin addiction, but also may have an indirect impact through the active coping strategies. In addition, the role of social support may also be moderated by openness to experience. Further, previous studies of heroin addiction found that the age of addict and their parents' level of education level were significantly correlated with their rates of heroin abuse (Aggarwal et al., 2015; Kolodny et al., 2015). Therefore, it is necessary to control for these factors in the present study. Based on the above analysis, this study proposes the hypotheses listed here and summarized in the model in Fig. 1. (1) Active coping strategies would mediate the relationship between social support and the relapse tendency. (2) Openness to experience would moderate the relationships between social support and active coping strategies, and between social support and the relapse tendency. (3) Openness to experience would moderate the mediating effect of active coping strategies in the relationship between social support and the relapse tendency. Statistical analyses Descriptive analyses and Pearson’s correlations were used by SPSS 22.0 for all variables. To test the moderated mediation model, we have adopted Stride's advice, and constructs are measured by latent variables as opposed to observed variables (Stride, Gardner, Catley, & Thomas, 2015). The analysis process of the entire model corresponds to the SPSS macro PROCESS (http://www.afhayes.com) suggested by Hayes (2018) but applying Mplus 7.4. The mediating (indirect) effect with 5000 bootstrap samples. In order to better reveal the relationship between latent variables, we used the item parceling strategy (Hall, Snell, & Foust, 1999; Little, Cunningham, Shahar, & Widaman, 2002). The critical value of the statistical test includes p value under the standard 0.05 level, and 95% bias-correction bootstrap confidence interval.
Data Types:
  • Software/Code
  • Geospatial Data
  • Dataset
This data set contains all data used to build the urban ecosystem service model for predicting the the PM2.5 removal service in Beijing under three policy scenarios by 2035. It has two parts: (1) python script of the entire model and associated data including attribute data of sociaoeconomic status and TIFF files of land use change restirctions; (2) testing data and simulation results including TIFF files of LAI, land use distribution, PM2.5 concentration, wind speed.
Data Types:
  • Dataset
  • File Set