cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e27562v3
title: Southern Education and Racial Discrimination, 1880-1910

description: This data collection makes machine readable extensive data from the reports of southern state superintendents of education, generally for years divisible by 5, from 1880 to 1910, and merges it with political data. Similar reports of state comptrollers were also sources. Everything is on the county level. The data are from eight ex-Confederate states, namely Alabama, Arkansas, Florida, Georgia, Louisiana, Mississippi, North Carolina, and Virginia.
<br>
<br>The purpose of the collection was to assess the changes in the distribution of educational goals by race and class. For example, what effects did the disfranchisement of blacks and poor whites have on the pattern of educational expenditures?
<br>
<br>Files in this collection are organized by state and within each state by files with extensions indicated respectively by COD, DOC and DAT. Files with the .COD extension list the counties and the county code abbreviations used in the corresponding data files. Files with the .DOC extension describe the wealth and educational data given in the corresponding DATA files. The .DOC files are organized in groups of 6 to correspond with the structure of the .DAT files. Files with the .DAT extension list the numeric educational and wealth data values corresponding to the description given in the .DOC files. Files with the .BAK extension appear to be backups of .DAT files, although some .BAK files may differ slightly from the corresponding original .DAT files. 
<br>
<br>The primary publication resulting from this data collection:
<br>Kousser, J. M. (1980). Progressivism - For Middle-Class Whites Only: North Carolina Education, 1880-1910. The Journal of Southern History, 46(2), 169-194.
<br>
DOI: 10.3886/e27698v3
title: Southern Education and Racial Discrimination, 1880-1910

description: This data collection makes machine readable extensive data from the reports of southern state superintendents of education, generally for years divisible by 5, from 1880 to 1910, and merges it with political data. Similar reports of state comptrollers were also sources. Everything is on the county level. The data are from eight ex-Confederate states, namely Alabama, Arkansas, Florida, Georgia, Louisiana, Mississippi, North Carolina, and Virginia.
<br>
<br>The purpose of the collection was to assess the changes in the distribution of educational goals by race and class. For example, what effects did the disfranchisement of blacks and poor whites have on the pattern of educational expenditures?
<br>
<br>Files in this collection are organized by state and within each state by files with extensions indicated respectively by COD, DOC and DAT. Files with the .COD extension list the counties and the county code abbreviations used in the corresponding data files. Files with the .DOC extension describe the wealth and educational data given in the corresponding DATA files. The .DOC files are organized in groups of 6 to correspond with the structure of the .DAT files. Files with the .DAT extension list the numeric educational and wealth data values corresponding to the description given in the .DOC files. Files with the .BAK extension appear to be backups of .DAT files, although some .BAK files may differ slightly from the corresponding original .DAT files. 
<br>
<br>The primary publication resulting from this data collection:
<br>Kousser, J. M. (1980). Progressivism - For Middle-Class Whites Only: North Carolina Education, 1880-1910. The Journal of Southern History, 46(2), 169-194.
<br>
DOI: 10.3886/e29776v2
title: Web based surveys Greek Election 2015

description: The project Hellenic National Election Studies (ELNES) facilitates research on the causes and consequences of voting behaviour and on the way democracy works in a country under financial crisis. ELNES produces hundreds of euro worth of data on electoral behaviour in Greece at a fractional cost. By effectively taking advantage of new technology tools, ELNES provides a unique resource for scholars interested in deep and consequential questions on Greek politics.
<br>HelpMeVote 2015 is a Greek Voting Advice Application that was completed more than 570000 times in the period from its official beginning (07/01/2015) until the Election Day (25/01/2015). Following the cleaning techniques provided by Andreadis (2012, 2014) the cleaned dataset includes 543870 cases. The number of citizens who have participated in the Greek Parliamentary Elections of January 2015 is 6330786. Thus, if we suppose that all HelpMeVote users have used it only once and that almost all of them have participated in the elections, then we can estimate that HelpMeVote users are circa 8.6% of those who participated in the Greek Parliamentary Elections of January 2015. 
<br> Andreadis, I. (2012) To Clean or not to Clean? Improving the Quality of VAA Data XXII World Congress of Political Science (IPSA), Madrid 
<br> Andreadis, I. (2014) Data Quality and Data Cleaning in Garzia, D. Marschall, S. (eds) Matching Voters with Parties and Candidates. Voting Advice Applications in Comparative Perspective, ECPR Press 
<br>
DOI: 10.6073/pasta/40bb25e9f8e89d3e7ac6400ead3cf9fd
title: Maximum temperature at El Verde Field Station, Rio Grande, Puerto Rico since October 1992
DOI: 10.14455/tsme.res.2014.241
title: Theoretical Study on the Influences of Operating Parameters on the Performance of a Solar-biomass Hybrid Cooling System
DOI: 10.14455/tsme.res.2014.288
title: Performance of Thermoelectric Refrigeration System Driven by Waste Heat from Exhaust Gas
DOI: 10.14455/tsme.res.2014.295
title: Anti-rolling Gyroscopic Moment Device for Ship Stability
DOI: 10.14455/tsme.res.2014.304
title: Optimization of the Production of Densified RDF from Reclaimed Landfill without Mixing Binding Agent Using Hydraulic Hot Pressing Machine
DOI: 10.14457/swu.the.1993.10
title: การวิเคราะห์องค์ประกอบความสันโดษ ตามหลักพุทธศาสนาของนักเรียนชั้นมัธยมศึกษาปีที่ 6 /
DOI: 10.3886/e21896v1
title: Guanxi-based Network Analysis Dataset of China's Central Committee

description: The Guanxi-based Network Analysis Dataset is a unique dataset created from the biographical information of the roughly 1,700 Central Committee members from 1922 to 2011. It also lists birth/death years, birth province, educational background, military experience, Party career assignments, government jobs, visits abroad, and any special remarks. Each Central Committee member’s education level, military generation, provincial origin, kinship, and patron‐client information was coded for each Central Committee‐year. Individual attributes were also collected for each Central Committee member to indicate if he or she was a member of the Politburo or Standing Committee, a Long Marcher, previously purged and rehabilitated, a general officer, a technocrat, and/or a member of the Central Advisory Commission, as appropriate.
DOI: 10.3886/e22406v1
title: Guanxi-based Network Analysis Dataset of China's Central Committee

description: The Guanxi-based Network Analysis Dataset is a unique dataset created from the biographical information of the roughly 1,700 Central Committee members from 1922 to 2011. It also lists birth/death years, birth province, educational background, military experience, Party career assignments, government jobs, visits abroad, and any special remarks. Each Central Committee member’s education level, military generation, provincial origin, kinship, and patron‐client information was coded for each Central Committee‐year. Individual attributes were also collected for each Central Committee member to indicate if he or she was a member of the Politburo or Standing Committee, a Long Marcher, previously purged and rehabilitated, a general officer, a technocrat, and/or a member of the Central Advisory Commission, as appropriate.
DOI: 10.3886/e22736v1
title: Guanxi-based Network Analysis Dataset of China's Central Committee

description: The Guanxi-based Network Analysis Dataset is a unique dataset created from the biographical information of the roughly 1,700 Central Committee members from 1922 to 2011. It also lists birth/death years, birth province, educational background, military experience, Party career assignments, government jobs, visits abroad, and any special remarks. Each Central Committee member’s education level, military generation, provincial origin, kinship, and patron‐client information was coded for each Central Committee‐year. Individual attributes were also collected for each Central Committee member to indicate if he or she was a member of the Politburo or Standing Committee, a Long Marcher, previously purged and rehabilitated, a general officer, a technocrat, and/or a member of the Central Advisory Commission, as appropriate.
DOI: 10.3886/e22946v1
title: Guanxi-based Network Analysis Dataset of China's Central Committee

description: The Guanxi-based Network Analysis Dataset is a unique dataset created from the biographical information of the roughly 1,700 Central Committee members from 1922 to 2011. It also lists birth/death years, birth province, educational background, military experience, Party career assignments, government jobs, visits abroad, and any special remarks. Each Central Committee member’s education level, military generation, provincial origin, kinship, and patron‐client information was coded for each Central Committee‐year. Individual attributes were also collected for each Central Committee member to indicate if he or she was a member of the Politburo or Standing Committee, a Long Marcher, previously purged and rehabilitated, a general officer, a technocrat, and/or a member of the Central Advisory Commission, as appropriate.
DOI: 10.3886/e26087v1
title: Conservatives report, but liberals display, greater happiness

description: Research suggesting that political conservatives are happier than political liberals has relied exclusively on self-report measures of subjective well-being. We show that this finding is fully mediated by conservatives' self-enhancing style of self-report (Study 1; N=1433), and then describe three studies drawing from "big data" sources to assess liberal-conservative differences in happiness-related behavior (Studies 2-4; N=4936). Relative to conservatives, liberals more frequently used positive emotional language in their speech, and smiled more intensely and genuinely in photographs. Our results were consistent across large samples of online survey takers, American politicians, Twitter users, and LinkedIn users. Our findings illustrate the nuanced relationship between political ideology, self-enhancement, and happiness, and illuminate the contradictory ways that happiness differences can manifest across behavior and self-reports.
DOI: 10.3886/e26096v1
title: Conservatives report, but liberals display, greater happiness

description: Research suggesting that political conservatives are happier than political liberals has relied exclusively on self-report measures of subjective well-being. We show that this finding is fully mediated by conservatives' self-enhancing style of self-report (Study 1; N=1433), and then describe three studies drawing from "big data" sources to assess liberal-conservative differences in happiness-related behavior (Studies 2-4; N=4936). Relative to conservatives, liberals more frequently used positive emotional language in their speech, and smiled more intensely and genuinely in photographs. Our results were consistent across large samples of online survey takers, American politicians, Twitter users, and LinkedIn users. Our findings illustrate the nuanced relationship between political ideology, self-enhancement, and happiness, and illuminate the contradictory ways that happiness differences can manifest across behavior and self-reports.
DOI: 10.3886/e26120v1
title: Conservatives report, but liberals display, greater happiness

description: Research suggesting that political conservatives are happier than political liberals has relied exclusively on self-report measures of subjective well-being. We show that this finding is fully mediated by conservatives' self-enhancing style of self-report (Study 1; N=1433), and then describe three studies drawing from "big data" sources to assess liberal-conservative differences in happiness-related behavior (Studies 2-4; N=4936). Relative to conservatives, liberals more frequently used positive emotional language in their speech, and smiled more intensely and genuinely in photographs. Our results were consistent across large samples of online survey takers, American politicians, Twitter users, and LinkedIn users. Our findings illustrate the nuanced relationship between political ideology, self-enhancement, and happiness, and illuminate the contradictory ways that happiness differences can manifest across behavior and self-reports.
DOI: 10.4225/43/54eab0f69b714
title: Venom, speed, and caution: effects on performance in a visual search task data
DOI: 10.5255/ukda-sn-851665
title: Biographical interviews in eastern Germany in 2007-08
DOI: 10.14455/tsme.res.2014.247
title: Effects of Crossflow Reynolds Number on Structures andEntrainment of a Jet in Crossflow
DOI: 10.14455/tsme.res.2014.253
title: Application of the Heat Exchanger Modified from Car Radiator for Jiagulan Drying System
DOI: 10.14455/tsme.res.2014.254
title: Develop a Hybrid Power System based on Solar Light and Solar Heat
DOI: 10.3886/e22226v1
title: Guanxi-based Network Analysis Dataset of China's Central Committee

description: The Guanxi-based Network Analysis Dataset is a unique dataset created from the biographical information of the roughly 1,700 Central Committee members from 1922 to 2011. It also lists birth/death years, birth province, educational background, military experience, Party career assignments, government jobs, visits abroad, and any special remarks. Each Central Committee member’s education level, military generation, provincial origin, kinship, and patron‐client information was coded for each Central Committee‐year. Individual attributes were also collected for each Central Committee member to indicate if he or she was a member of the Politburo or Standing Committee, a Long Marcher, previously purged and rehabilitated, a general officer, a technocrat, and/or a member of the Central Advisory Commission, as appropriate.
DOI: 10.3886/e22916v1
title: Guanxi-based Network Analysis Dataset of China's Central Committee

description: The Guanxi-based Network Analysis Dataset is a unique dataset created from the biographical information of the roughly 1,700 Central Committee members from 1922 to 2011. It also lists birth/death years, birth province, educational background, military experience, Party career assignments, government jobs, visits abroad, and any special remarks. Each Central Committee member’s education level, military generation, provincial origin, kinship, and patron‐client information was coded for each Central Committee‐year. Individual attributes were also collected for each Central Committee member to indicate if he or she was a member of the Politburo or Standing Committee, a Long Marcher, previously purged and rehabilitated, a general officer, a technocrat, and/or a member of the Central Advisory Commission, as appropriate.
DOI: 10.14455/tsme.res.2014.255
title: Effects of Azimuthal Control Jets to Main Jet Mass Flowrate Ratio on the Entrainment of a Jet in Crossflow
DOI: 10.14455/tsme.res.2014.256
title: Geometrical Influence of Regenerator Stack on the Thermal Efficiency of the Loop-type Thermoacoustic Sound Generator
DOI: 10.3886/e20516v1
title: Guanxi-based Network Analysis Dataset of China's Central Committee

description: The Guanxi-based Network Analysis Dataset is a unique dataset created from the biographical information of the roughly 1,700 Central Committee members from 1922 to 2011. It also lists birth/death years, birth province, educational background, military experience, Party career assignments, government jobs, visits abroad, and any special remarks. Each Central Committee member’s education level, military generation, provincial origin, kinship, and patron‐client information was coded for each Central Committee‐year. Individual attributes were also collected for each Central Committee member to indicate if he or she was a member of the Politburo or Standing Committee, a Long Marcher, previously purged and rehabilitated, a general officer, a technocrat, and/or a member of the Central Advisory Commission, as appropriate.
DOI: 10.3886/e22316v1
title: Guanxi-based Network Analysis Dataset of China's Central Committee

description: The Guanxi-based Network Analysis Dataset is a unique dataset created from the biographical information of the roughly 1,700 Central Committee members from 1922 to 2011. It also lists birth/death years, birth province, educational background, military experience, Party career assignments, government jobs, visits abroad, and any special remarks. Each Central Committee member’s education level, military generation, provincial origin, kinship, and patron‐client information was coded for each Central Committee‐year. Individual attributes were also collected for each Central Committee member to indicate if he or she was a member of the Politburo or Standing Committee, a Long Marcher, previously purged and rehabilitated, a general officer, a technocrat, and/or a member of the Central Advisory Commission, as appropriate.
DOI: 10.3886/e23066v1
title: Guanxi-based Network Analysis Dataset of China's Central Committee

description: The Guanxi-based Network Analysis Dataset is a unique dataset created from the biographical information of the roughly 1,700 Central Committee members from 1922 to 2011. It also lists birth/death years, birth province, educational background, military experience, Party career assignments, government jobs, visits abroad, and any special remarks. Each Central Committee member’s education level, military generation, provincial origin, kinship, and patron‐client information was coded for each Central Committee‐year. Individual attributes were also collected for each Central Committee member to indicate if he or she was a member of the Politburo or Standing Committee, a Long Marcher, previously purged and rehabilitated, a general officer, a technocrat, and/or a member of the Central Advisory Commission, as appropriate.
DOI: 10.3886/e23096v1
title: Guanxi-based Network Analysis Dataset of China's Central Committee

description: The Guanxi-based Network Analysis Dataset is a unique dataset created from the biographical information of the roughly 1,700 Central Committee members from 1922 to 2011. It also lists birth/death years, birth province, educational background, military experience, Party career assignments, government jobs, visits abroad, and any special remarks. Each Central Committee member’s education level, military generation, provincial origin, kinship, and patron‐client information was coded for each Central Committee‐year. Individual attributes were also collected for each Central Committee member to indicate if he or she was a member of the Politburo or Standing Committee, a Long Marcher, previously purged and rehabilitated, a general officer, a technocrat, and/or a member of the Central Advisory Commission, as appropriate.
DOI: 10.3886/e23186v1
title: Guanxi-based Network Analysis Dataset of China's Central Committee

description: The Guanxi-based Network Analysis Dataset is a unique dataset created from the biographical information of the roughly 1,700 Central Committee members from 1922 to 2011. It also lists birth/death years, birth province, educational background, military experience, Party career assignments, government jobs, visits abroad, and any special remarks. Each Central Committee member’s education level, military generation, provincial origin, kinship, and patron‐client information was coded for each Central Committee‐year. Individual attributes were also collected for each Central Committee member to indicate if he or she was a member of the Politburo or Standing Committee, a Long Marcher, previously purged and rehabilitated, a general officer, a technocrat, and/or a member of the Central Advisory Commission, as appropriate.
DOI: 10.3886/e23246v1
title: Guanxi-based Network Analysis Dataset of China's Central Committee

description: The Guanxi-based Network Analysis Dataset is a unique dataset created from the biographical information of the roughly 1,700 Central Committee members from 1922 to 2011. It also lists birth/death years, birth province, educational background, military experience, Party career assignments, government jobs, visits abroad, and any special remarks. Each Central Committee member’s education level, military generation, provincial origin, kinship, and patron‐client information was coded for each Central Committee‐year. Individual attributes were also collected for each Central Committee member to indicate if he or she was a member of the Politburo or Standing Committee, a Long Marcher, previously purged and rehabilitated, a general officer, a technocrat, and/or a member of the Central Advisory Commission, as appropriate.
DOI: 10.5061/dryad.h0h90/2
title: Dryad Item 10.5061/DRYAD.H0H90/2

description: (:tba)
DOI: 10.6073/pasta/adc99ea1b73e1ee19cbe0ad249b7e275
title: Snowpack in Hemlock, Hardwood, and Open Sites at Harvard Forest 2008-2014
DOI: 10.14455/tsme.res.2014.271
title: Numerical Simulation of a Self-aspirating Porous Medium Burner
DOI: 10.14455/tsme.res.2014.272
title: Visualization and Analysis of the Gasliquid Twophase Refrigerant Flow Passing through a Thin Tube
DOI: 10.14455/tsme.res.2014.286
title: A Study on the Autoignition Characteristics of the Pre-mixture of DME/LPG in a HCCI Engine
DOI: 10.3886/e21086v1
title: Guanxi-based Network Analysis Dataset of China's Central Committee

description: The Guanxi-based Network Analysis Dataset is a unique dataset created from the biographical information of the roughly 1,700 Central Committee members from 1922 to 2011. It also lists birth/death years, birth province, educational background, military experience, Party career assignments, government jobs, visits abroad, and any special remarks. Each Central Committee member’s education level, military generation, provincial origin, kinship, and patron‐client information was coded for each Central Committee‐year. Individual attributes were also collected for each Central Committee member to indicate if he or she was a member of the Politburo or Standing Committee, a Long Marcher, previously purged and rehabilitated, a general officer, a technocrat, and/or a member of the Central Advisory Commission, as appropriate.
DOI: 10.3886/e21266v1
title: Guanxi-based Network Analysis Dataset of China's Central Committee

description: The Guanxi-based Network Analysis Dataset is a unique dataset created from the biographical information of the roughly 1,700 Central Committee members from 1922 to 2011. It also lists birth/death years, birth province, educational background, military experience, Party career assignments, government jobs, visits abroad, and any special remarks. Each Central Committee member’s education level, military generation, provincial origin, kinship, and patron‐client information was coded for each Central Committee‐year. Individual attributes were also collected for each Central Committee member to indicate if he or she was a member of the Politburo or Standing Committee, a Long Marcher, previously purged and rehabilitated, a general officer, a technocrat, and/or a member of the Central Advisory Commission, as appropriate.