cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e21146v1
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/e27369v2
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/e27378v3
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/e27387v2
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/e27433v2
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: 10.5439/1169506
title: Cloud Properties and Radiative Heating Rates for TWP

description: A cloud properties and radiative heating rates dataset is presented where cloud properties retrieved using lidar and radar observations are input into a radiative transfer model to compute radiative fluxes and heating rates at three ARM sites located in the Tropical Western Pacific (TWP) region. The cloud properties retrieval is a conditional retrieval that applies various retrieval techniques depending on the available data, that is if lidar, radar or both instruments detect cloud. This Combined Remote Sensor Retrieval Algorithm (CombRet) produces vertical profiles of liquid or ice water content (LWC or IWC), droplet effective radius (re), ice crystal generalized effective size (Dge), cloud phase, and cloud boundaries. The algorithm was compared with 3 other independent algorithms to help estimate the uncertainty in the cloud properties, fluxes, and heating rates (Comstock et al. 2013).  The dataset is provided at 2 min temporal and 90 m vertical resolution. The current dataset is applied to time periods when the MMCR (Millimeter Cloud Radar) version of the ARSCL (Active Remotely-Sensed Cloud Locations) Value Added Product (VAP) is available. The MERGESONDE VAP is utilized where temperature and humidity profiles are required. Future additions to this dataset will utilize the new KAZR instrument and its associated VAPs.
DOI: 10.5439/1169509
title: Radiosondes Corrected for Inaccuracy in RH Measurements

description: Corrections for inaccuracy in Vaisala radiosonde RH measurements have been applied to ARM SGP radiosonde soundings. The magnitude of the corrections can vary considerably between soundings. The radiosonde measurement accuracy, and therefore the correction magnitude, is a function of atmospheric conditions, mainly T, RH, and dRH/dt (humidity gradient).  The corrections are also very sensitive to the RH sensor type, and there are 3 Vaisala sensor types represented in this dataset (RS80-H, RS90, and RS92).  Depending on the sensor type and the radiosonde production date, one or more of the following three corrections were applied to the RH data: Temperature-Dependence correction (TD), Contamination-Dry Bias correction (C), Time Lag correction (TL). The estimated absolute accuracy of NIGHTTIME corrected and uncorrected Vaisala RH measurements, as determined by comparison to simultaneous reference-quality measurements from Holger Voemel's (CU/CIRES) cryogenic frostpoint hygrometer (CFH), is given by Miloshevich et al. (2006).
DOI: 10.6073/pasta/d2f18a4e319943f7655ea9506de3dc0b
title: Spring and Fall Leaf Phenology from Coweeta LTER Soil Moisture Sites 2 and 4, Watershed 1, Otto, North Carolina.
DOI: 10.14457/swu.the.1992.13
title: การวิเคราะห์องค์ประกอบของความสามัคคี ในนักเรียนชั้นมัธยมศึกษาปีที่ 1 ในจังหวัดพระนครศรีอยุธยา /
DOI: 10.15787/vtt1mw2p
title: IAP Project: Evaluating the Relationship between the Driver and Roadway to Address Rural Intersection Safety using the SHRP 2 Naturalistic Driving Study Data
title: Dataset
DOI: 10.3886/e22436v1
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/e27369v3
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/e27507v3
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/e27516v3
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/e27616v3
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/e29805v2
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: 10.11577/1169545
title: High-throughput imaging of heterogeneous cell organelles with an X-ray laser (CXIDB ID 25)

description: Preprocessed detector images that were used for the paper "High-throughput imaging of heterogeneous cell organelles with an X-ray laser". The CXI file contains the entire recorded data - including both hits and blanks. It also includes down-sampled images and LCLS machine parameters. Additionally, the Cheetah configuration file is attached that was used to create the pre-processed data.
DOI: 10.14457/swu.the.1991.15
title: การวิเคราะห์องค์ประกอบความทันสมัยด้านจิตใจของครู สังกัดกรุงเทพมหานคร /
DOI: 10.3886/e22466v1
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/e26659v3
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>