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A collection of case history data collected from various sources of rock buckling (pop ups) at the ground surface in North America.
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  • Tabular Data
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Dataset for measurements of vessel density and vessel length density
Data Types:
  • Tabular Data
  • Dataset
As a part of a research into new techniques for purifying recycled aluminium alloys, a novel electromagnetic apparatus had been developed for investigating in real-time the separation mechanisms of detrimental inclusions in aluminium alloy melts under alternating magnetic fields. The magnetic coil was designed based on the Helmholtz coil design. A viewing gap was designed for in-situ imaging studies using synchrotron X-rays. The gap was designed to maintain a uniform magnetic field in the central region where a sample is positioned. The current setup for the magnetic coil pair is able to produce a peak magnetic flux density of ~10 mT at a frequency of 25 kHz. A separate electrical resistance furnace, designed to concentrically fit within the magnetic coils, was used to control the heating (up to ~850°C) and cooling of the samples. After a series of systematic tests and commissioning, the apparatus was used in a number of in-situ and ex-situ experiments.
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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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  • Text
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Supplementary material Supplementary material Table 1, Taxonomic information of total radiolarian taxa encountered in study. Supplementary material Table 2, Basic environmental informations with annual, summer, and winter timescales of the 45 surface sediment samples. Supplementary material Table 3, Raw counting data of the total radiolarian assemblages in the 45 surface sediment samples.
Data Types:
  • Tabular Data
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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:
  • Dataset
  • Text
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The open access ecotoxicology reseach & publication dataset, which was indexed by Scopus from 1974 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
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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.
Data Types:
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  • File Set
This data set contains NIR absorbance spectra of the wavelength range 309 - 1149 nm of mango mesocarp with corresponding dry matter content values. This was the data set used in Anderson et al. 2020 "Achieving robustness across season, location and cultivar for a NIRS model for intact mango fruit dry matter content"
Data Types:
  • Tabular Data
  • Dataset
This raw data includes score of each question in five-point Likert scale and demographic information of the participants. The data was used in the study which tried to investigate the persistence of skin-based reference frame during the multisensory integration process in body ownership illusion. Synchronous visuotactile stimulation with spatial incongruence between vision and touch was provided in virtual reality to induce body ownership of the virtual hand. The intensity of body ownership illusion was measured to quantify the tolerance for spatial incongruence. The results showed anisotropic pattern in spatial incongruence tolerance which was interpreted to reflect the persistence of skin-based reference frame during visuotactile integration.
Data Types:
  • Tabular Data
  • Dataset