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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.
Data Types:
• Tabular Data
• Dataset
This file contains a prototype semi-structured interview questionnaire that was used for cross country synthesis on the subject of post-disaster reconstruction and resettlement
Data Types:
• Dataset
• Document
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.
Data Types:
• Tabular Data
• Dataset
• Document
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
Data Types:
• Software/Code
• Dataset
• Text
• File Set
Supplementary data supporting the manuscript updated with 4 donor results to replace the previous dataset from one donor
Data Types:
• Dataset
• Document
In this repository we make available two datasets of research on soccer analysis data. - baseNormalizada - is a dataset that joins real data of soccer players transfers with athletes abilities gathered from the eletronic soccer game FIFA. - Network_dataset - is a dataset that gatheres all major soccer transfers that occured on the soccer world between 1990 - 2017. For both datasets we make available the crawler for future updates.
Data Types:
• Dataset
• Text
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
• Dataset
Nowadays, social media sites have become a vital part of humans’ lives, allowing peoples to express their opinions, their sentiments and feelings about whatever, whenever and wherever. Therefore, it comes a huge amount of data in which attract researchers to explore and analyse these sites to address research questions in various fields. This data article is about 21422 public tweets related to Algerian universities generated by 9477 users, made during the nine years—January 2011 to March 2020. The retrieved tweets were collected based on specific queries using a python 3 library called GetOldTweets3. Each tweet is represented by 11 variables: ID, username, text, date, number of retweets, number of favorites, mentions, hashtags, and permalink.
Data Types:
• Tabular Data
• Dataset
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
• File Set
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