These files contain the data files and programs used to generate the estimates found in “States as Sites of Educational (In)Equality: State Contexts and the Socioeconomic Achievement Gradient” published in AERA Open, 2019. The abstract for the paper is found below: Socioeconomic achievement gaps have long been a central focus of educational research. However, not much is known about how (and why) between-district gaps vary among states, even though states are a primary organizational level in the decentralized education system in the United States. Using data from the Stanford Education Data Archive (SEDA), this study describes state-level socioeconomic achievement gradients and the growth of these gradients from Grades 3 to 8. We also examine state-level correlates of the gradients and their growth, including school system funding equity, preschool enrollment patterns, the distribution of teachers, income inequality, and segregation. We find that socioeconomic gradients and their growth rates vary considerably among states, and that between-district income segregation is positively associated with the socioeconomic achievement gradient.

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Customs records of are available for SEDA SUPPLY CHAIN SEDA SUPPLY. Learn about its Importer, supply capabilities and the countries to which it supplies goods

Student Teacher Ratio reports the average number of students per one teacher. Dimensions Grade,Measure Type,Variable Full Description This dataset reports an average generated by taking the student-teacher ratio for each school in a given district and collapsing it to the district level, using the total number of students in the district as the weight. The original source data was produced by the National Center for Education Statistics's Common Core of Data program (CCD). Data was aggregated to the district level for publication in the Stanford Education Data Archive (SEDA). Geography

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Number of Enrolled Student: Primary School: Sichuan: Ganzi: Seda data was reported at 9.186 Person th in 2022. This records an increase from the previous number of 7.272 Person th for 2021. Number of Enrolled Student: Primary School: Sichuan: Ganzi: Seda data is updated yearly, averaging 3.936 Person th from Dec 2001 (Median) to 2022, with 22 observations. The data reached an all-time high of 9.186 Person th in 2022 and a record low of 2.324 Person th in 2001. Number of Enrolled Student: Primary School: Sichuan: Ganzi: Seda data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GU: Number of Enrolled Student: Primary School: County Level Region.

This repository contains supplementary materials for the following journal paper:

Valdemar Švábenský, Jan Vykopal, Pavel Seda, Pavel Čeleda.
Dataset of Shell Commands Used by Participants of Hands-on Cybersecurity Training.
In Elsevier Data in Brief. 2021.
https://doi.org/10.1016/j.dib.2021.107398

How to cite

If you use or build upon the materials, please use the BibTeX entry below to cite the original paper (not only this web link).

@article{Svabensky2021dataset,
  author  = {\v{S}v\'{a}bensk\'{y}, Valdemar and Vykopal, Jan and Seda, Pavel and \v{C}eleda, Pavel},
  title   = {{Dataset of Shell Commands Used by Participants of Hands-on Cybersecurity Training}},
  journal  = {Data in Brief},
  publisher = {Elsevier},
  volume  = {38},
  year   = {2021},
  issn   = {2352-3409},
  url    = {https://doi.org/10.1016/j.dib.2021.107398},
  doi    = {10.1016/j.dib.2021.107398},
}

The data were collected using a logging toolset referenced here.

Attached content

1. Dataset (data.zip). The collected data are attached here on Zenodo. A copy is also available in this repository.
2. Analytical tools (toolset.zip). To analyze the data, you can instantiate the toolset or this project for ELK.

Version history

• Version 1 (https://zenodo.org/record/5137355) contains 13446 log records from 175 trainees. These data are precisely those that are described in the associated journal paper. Version 1 provides a snapshot of the state when the article was published.
• Version 2 (https://zenodo.org/record/5517479) contains 13446 log records from 175 trainees. The data are unchanged from Version 1, but the analytical toolset includes a minor fix.
• Version 3 (https://zenodo.org/record/6670113) contains 21762 log records from 275 trainees. It is a superset of Version 2, with newly collected data added to the dataset.
• The current Version 4 (https://zenodo.org/record/8136017) contains 21459 log records from 275 trainees. Compared to Version 3, we cleaned 303 invalid/duplicate command records.

Population: Sichuan: Ganzi: Seda data was reported at 54.000 Person th in 2014. This records an increase from the previous number of 52.700 Person th for 2013. Population: Sichuan: Ganzi: Seda data is updated yearly, averaging 48.000 Person th from Dec 2004 (Median) to 2014, with 11 observations. The data reached an all-time high of 54.000 Person th in 2014 and a record low of 37.000 Person th in 2004. Population: Sichuan: Ganzi: Seda data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GJ: Population: County Level Region.

Peru Retail Price: Citric and Fruits: Banana: de Seda data was reported at 2.670 PEN/kg in Oct 2018. This records a decrease from the previous number of 2.720 PEN/kg for Sep 2018. Peru Retail Price: Citric and Fruits: Banana: de Seda data is updated monthly, averaging 1.310 PEN/kg from Jan 1995 (Median) to Oct 2018, with 286 observations. The data reached an all-time high of 3.140 PEN/kg in Aug 2017 and a record low of 0.670 PEN/kg in Mar 1995. Peru Retail Price: Citric and Fruits: Banana: de Seda data remains active status in CEIC and is reported by National Institute of Statistics and Information Science. The data is categorized under Global Database’s Peru – Table PE.P003: Retail Price.

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Customs records of Belgiu are available for SEDA NESTOR. Learn about its Importer, supply capabilities and the countries to which it supplies goods

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The data and programs replicate tables and figures from "Ever Failed, Try Again, Succeed Better: Results from a Randomized Educational Intervention on Grit", by Alan, Boneva, and Ertac. Please see the Readme file for additional details.

UAB "Agrar Seda" financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

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