cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e27607v3
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/e29977v1
title: Similarity, Episodic Future Thinking, and Temporal Discounting

description: Data for the project: Old man you're a lot like me: Similarity between current and future self mediates the relationship between episodic future thinking and temporal discounting
DOI: 10.6073/pasta/6af394f554ba9494b2d395c20f9d8366
title: Water Quality Data (Extensive) from the Taylor Slough, Everglades National Park (FCE), South Florida from July 1999 to Present
DOI: 10.3886/e21926v1
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/e27662v4
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/e27752v3
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: 10.6073/pasta/d4e923e473d693cce2a896d82348e112
title: Water Quality Data (Porewater) from the Taylor Slough, Everglades National Park (FCE), South Florida from September 1999 to December 2006
DOI: 10.14455/tsme.res.2014.257
title: Geometric Influence of Regenerator Stack on Performance of the Thermoacoustic Refrigerator
DOI: 10.14455/tsme.res.2014.273
title: Development of a Novel Condensing Porous Heat Exchanger (CPHE) with Integrated Porous Burner (PB)
DOI: 10.14457/swu.the.1993.11
title: การวิเคราะห์องค์ประกอบความเป็นนักอ่านที่ดีของนักเรียนชั้นมัธยมศึกษาปีที่ 1 ในจังหวัดฉะเชิงเทรา /
DOI: 10.3886/e20816v1
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/e21956v1
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/e25661v1
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/e26134v1
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/e26212v1
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/e27825v2
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: 10.14455/tsme.res.2014.265
title: Effects of Inclined Baffles on Thermal Characteristics in a Square Duct
DOI: 10.3886/e20786v1
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/e20936v1
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/e21056v1
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/e21206v1
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/e26078v1
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/e27788v2
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/e27798v3
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: 10.4225/25/54d1aaff51bac
title: Offshore Petroleum and Greenhouse Gas Storage Act 2006 - Australian Maritime Boundaries 2014 - Geodatabase

description: Geodatabase of the Commonwealth Offshore Petroleum and Greenhouse Gas Storage Act 2006 - An Act about petroleum exploration and recovery, and the injection and storage of greenhouse gas substances, in offshore areas, and for other purposes.