cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10433147
title: Figures and Dataset
DOI: 10.5525/gla.researchdata.1444
title: Bank Examiner Turnover 1902-1931

description: Data on names, locations, and career histories of U.S. national bank examiners collected from the Annual Reports of the U.S. Comptroller of the Currency
DOI: 10.18712/nsd-nsd2903-v7
title: Norwegian Citizen Panel Round 17, 2020

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 17, 2020  also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. The University of Bergen owns and is responsible for the Citizen panel. The company Ideas 2 Evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. The different datasets of the Norwegian Citizen Panel have different ID numbers to prevent the identification of individual participants across rounds. If access to data that follows participants over time (time-series/panel data) is desired, then it must be applied for by contacting DIGSSCORE (uib.no/digsscore / digsscore@uib.no). The same applies to text data and other data that is withheld in these datasets for privacy reasons. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates is available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.18712/nsd-nsd2904-v7
title: Norwegian Citizen Panel Round 18, 2020

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The data set for The Norwegian Citizen Panel Wave 18, 2020 also contains variables from previous waves, the wave number is indicated by the number after "r" in the variable name. The University of Bergen owns and is responsible for the Citizen panel. The company Ideas 2 Evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. The different datasets of the Norwegian Citizen Panel have different ID numbers to prevent the identification of individual participants across rounds. If access to data that follows participants over time (time-series/panel data) is desired, then it must be applied for by contacting DIGSSCORE (uib.no/digsscore / digsscore@uib.no). The same applies to text data and other data that is withheld in these datasets for privacy reasons. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates is available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.5517/ccdc.csd.cc2gxtmv
title: CCDC 2291818: Experimental Crystal Structure Determination

description: Related Article: Eric Anthony, Axel Klein|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.18712/nsd-nsd3055-v2
title: Norwegian Citizen Panel Fast Track 1 - COVID-19, 2020

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by the Sikt – Norwegian Agency for Shared Services in Education and Research. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at www.uib.no/en/citizen

This survey was sent out as a “Fast Track” study in connection with the first phase of the corona pandemic in Norway, spring 2020. For this reason, both the content of the study and the implementation phase are somewhat different from ordinary rounds of the Norwegian Citizens' Panel.

In NCP Fast Track 1 COVID-19, invitation emails were sent out on March 20, 2020.

NCP Fast Track 1 COVID-19 was completed on March 29.

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.5517/ccdc.csd.cc2gzrx4
title: CCDC 2293687: Experimental Crystal Structure Determination

description: Related Article: Antonio Martin Tello, Daniel Joven Sancho|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gzwmz
title: CCDC 2293802: Experimental Crystal Structure Determination

description: Related Article: Dasna, I Wayan, Mariyam, Dewi, Wijaya, Husni Wahyu, Danar, Danar|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gzv0b
title: CCDC 2293752: Experimental Crystal Structure Determination

description: Related Article: Wenkui Yuan|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h055w
title: CCDC 2294067: Experimental Crystal Structure Determination

description: Related Article: Kaidi Yang, Nicohl Corretjer, Sarah Gadban, Steven P. Kelley, Rainer Glaser, Melanie M. Kozak, Bruce A. Hathaway|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h02l6
title: CCDC 2293987: Experimental Crystal Structure Determination

description: Related Article: Yue Mao|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h02m7
title: CCDC 2293988: Experimental Crystal Structure Determination

description: Related Article: Yue Mao|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h0jvx
title: CCDC 2294429: Experimental Crystal Structure Determination

description: Related Article: Ting Meng|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h07qh
title: CCDC 2294146: Experimental Crystal Structure Determination

description: Related Article: Xiaolin Yu|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gzzzf
title: CCDC 2293906: Experimental Crystal Structure Determination

description: Related Article: Katja Dralle, Marc Schmidtmann, Rüdiger Beckhaus|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h0jqs
title: CCDC 2294425: Experimental Crystal Structure Determination

description: Related Article: Jinlong Qian|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h0lmr
title: CCDC 2294484: Experimental Crystal Structure Determination

description: Related Article: Ying LUO|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h0lpt
title: CCDC 2294486: Experimental Crystal Structure Determination

description: Related Article: Ying LUO|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h0vcr
title: CCDC 2294724: Experimental Crystal Structure Determination

description: Related Article: Jan Nowak, Michał Barbasiewicz|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h0xxc
title: CCDC 2294803: Experimental Crystal Structure Determination

description: Related Article: Vadim Zorin, Robin K. Harris, Dmitry S. Yufit, Judith A. K. Howard|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.8144169
title: Parcel Delivery Demand dataset for the center of Budapest, Hungary

description: This is an anonymized last-mile dleivery demand dataset for the center of Budapest, Hungary. This dataset has been used in LEAD project in order to analyze the last-mile logistics network though digital modelling and twinning.
DOI: 10.5281/zenodo.8144170
title: Parcel Delivery Demand dataset for the center of Budapest, Hungary

description: This is an anonymized last-mile dleivery demand dataset for the center of Budapest, Hungary. This dataset has been used in LEAD project in order to analyze the last-mile logistics network though digital modelling and twinning.
DOI: 10.6084/m9.figshare.24941580
title: SPSS data analysis of Ammonium sulfate supplement (1, 2, 3, 4 and 5 g L-1), and period of incubation (24, 48, 72, 96, and 120 h).

description: The process parameters in fed batch fermentation such as ammonium sulfate supplement (1, 2, 3, 4 and 5 g L-1), and period of incubation (24, 48, 72, 96, and 120 h) data analysis.
DOI: 10.5517/ccdc.csd.cc2h12vh
title: CCDC 2294956: Experimental Crystal Structure Determination

description: Related Article: Yun-Hsuan Yang|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h14zp
title: CCDC 2295022: Experimental Crystal Structure Determination

description: Related Article: Merzweiler, Kurt, Schmidt, Guntram|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h15zq
title: CCDC 2295053: Experimental Crystal Structure Determination

description: Related Article: Lena Würth, Marc Schmidtmann, Rüdiger Beckhaus|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h18hb
title: CCDC 2295131: Experimental Crystal Structure Determination

description: Related Article: Emma Parks, Graham Sandford, Dmitry S. Yufit, Judith A. K. Howard|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.10457827
title: Used Cars Dataset

description: Craigslist is the world's largest collection of used vehicles for sale, yet it's very difficult to collect all of them in the same place. I built a scraper for a school project and expanded upon it later to create this dataset which includes every used vehicle entry within the United States on Craigslist.

This data is scraped every few months, it contains most all relevant information that Craigslist provides on car sales including columns like price, condition, manufacturer, latitude/longitude, and 18 other categories. For ML projects, consider feature engineering on location columns such as long/lat. For previous listings, check older versions of the dataset.
DOI: 10.5517/ccdc.csd.cc2h19d8
title: CCDC 2295159: Experimental Crystal Structure Determination

description: Related Article: Tatiana Gridneva, Ayumu Karimata, Richa Bansal, Robert R. Fayzullin, Serhii Vasylevskyi, Andrew Bruhacs, Julia R. Khusnutdinova|2023|Chem.Commun.|60|212|doi:10.1039/D3CC04643E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.10457828
title: Used Cars Dataset

description: Craigslist is the world's largest collection of used vehicles for sale, yet it's very difficult to collect all of them in the same place. I built a scraper for a school project and expanded upon it later to create this dataset which includes every used vehicle entry within the United States on Craigslist.

This data is scraped every few months, it contains most all relevant information that Craigslist provides on car sales including columns like price, condition, manufacturer, latitude/longitude, and 18 other categories. For ML projects, consider feature engineering on location columns such as long/lat. For previous listings, check older versions of the dataset.
DOI: 10.11583/dtu.24910617.v1
title: Data for publication: Experimental requirements for high temperature solid state electrochemical TEM experiments

description: This dataset was used for the our publication in Small Method "Experimental requirements for high temperature solid state electrochemical TEM experiments" authored by:Zhongtao Ma, Christodoulos Chatzichristodoulou, Waynah Lou Dacayan, Kristian Speranza Mølhave, Francesco Maria Chiabrera, Thomas Erik Lyck Smitshuysen, Christian Danvad Damsgaard, Søren Bredmose Simonsen**corresponding author: sobrs@dtu.dk
DOI: 10.17028/rd.lboro.24941967
title: Supplementary information files for Inequalities in adiposity trends between 1979 and 1999 in Guatemalan children

description: © the authors, CC-BY 4.0Supplementary files for article Inequalities in adiposity trends between 1979 and 1999 in Guatemalan childrenBackground: Guatemala suffered from civil war and high levels of inequality and childhood stunting in the second half of the 20th century, but little is known about inequalities in secular trends in adiposity.Objectives: To investigate differences in childhood body mass index (BMI) and skinfold thickness trajectories from 1979 to 1999 between three groups of children: High socioeconomic position (SEP) Ladino, Low SEP Ladino, and Low SEP Indigenous Maya.Methods: The sample comprised 19 346 children aged 7–17 years with 54 638 observations. The outcomes were height, BMI, triceps skinfold thickness (TST), and subscapular skinfold thickness (SST) Z-scores according to the Centers for Disease Control and Prevention (CDC) references. Sex-specific multilevel models were used to estimate and compare mean trajectories from 1979 to 1999 between the three groups.Results: Mean Z-scores were always highest for High SEP Ladino children and lowest for Low SEP Maya children. Despite their very short stature, the Low SEP groups had SST trajectories that were above the 50th centile. The BMI trajectories were relatively flat and within one major centile band of the CDC median, with differences between the three groups that were small (0.2–0.3 Z-scores) and did not attenuate over time. Conversely, the TST Z-score trajectories demonstrated larger positive secular trends (e.g., from −1.25 in 1979 to −0.06 in 1999 for Low SEP Maya boys), with differences between the three groups that were large (0.5–1.2 Z-scores) and did attenuate over time (in boys). Secular trends and between-group difference in the SST Z-score trajectories were less pronounced, but again we found stronger evidence in boys that the estimated inequalities attenuated over time.Conclusions: Secular trends and inequalities in skinfolds differ from those for BMI in Guatemalan children. Differences between groups in skinfolds attenuated over time, at least in boys, but whether this is good news is questionable given the very short stature yet relatively large subscapular skinfolds of the Low SEP groups.
DOI: 10.17028/rd.lboro.24941967.v1
title: Supplementary information files for Inequalities in adiposity trends between 1979 and 1999 in Guatemalan children

description: © the authors, CC-BY 4.0Supplementary files for article Inequalities in adiposity trends between 1979 and 1999 in Guatemalan childrenBackground: Guatemala suffered from civil war and high levels of inequality and childhood stunting in the second half of the 20th century, but little is known about inequalities in secular trends in adiposity.Objectives: To investigate differences in childhood body mass index (BMI) and skinfold thickness trajectories from 1979 to 1999 between three groups of children: High socioeconomic position (SEP) Ladino, Low SEP Ladino, and Low SEP Indigenous Maya.Methods: The sample comprised 19 346 children aged 7–17 years with 54 638 observations. The outcomes were height, BMI, triceps skinfold thickness (TST), and subscapular skinfold thickness (SST) Z-scores according to the Centers for Disease Control and Prevention (CDC) references. Sex-specific multilevel models were used to estimate and compare mean trajectories from 1979 to 1999 between the three groups.Results: Mean Z-scores were always highest for High SEP Ladino children and lowest for Low SEP Maya children. Despite their very short stature, the Low SEP groups had SST trajectories that were above the 50th centile. The BMI trajectories were relatively flat and within one major centile band of the CDC median, with differences between the three groups that were small (0.2–0.3 Z-scores) and did not attenuate over time. Conversely, the TST Z-score trajectories demonstrated larger positive secular trends (e.g., from −1.25 in 1979 to −0.06 in 1999 for Low SEP Maya boys), with differences between the three groups that were large (0.5–1.2 Z-scores) and did attenuate over time (in boys). Secular trends and between-group difference in the SST Z-score trajectories were less pronounced, but again we found stronger evidence in boys that the estimated inequalities attenuated over time.Conclusions: Secular trends and inequalities in skinfolds differ from those for BMI in Guatemalan children. Differences between groups in skinfolds attenuated over time, at least in boys, but whether this is good news is questionable given the very short stature yet relatively large subscapular skinfolds of the Low SEP groups.