cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/1qeojm
title: Replication Data for: Relations between Parenting Styles and Character Strengths in University Students

description: From childhood onwards, parents are the first and most meaningful moral guides in a person's life. Character strengths are morally valuable qualities that contribute to making a person a good individual and leading a good life. The parenting styles of parents, who are the most important moral guides of human beings, may be related to which character strengths will be more dominant in their children. Based on this, the present study, aimed to reveal the relationship between the character strengths of individuals aged 19-25 studying at university and the parenting styles of their mothers and fathers. The study was conducted on 248 university students (77% female, 23% male) aged between 19-25 years (mean age 20.85). The method of the present study is the relational research method, which is a subtype of descriptive research. In the study, the Character Strengths Inventory (VIA-IS-P) developed by McGrath (2019) and adapted to Turkish culture by Demirci et al. (2021) was a study on the character strengths of university students. The Parental Attitude Scale developed by Kuzgun and Eldeleklioğlu (2005) was used to evaluate the parenting styles of their parents. According to the results of the study, significant gender differences were found in the character strengths in all the other virtues with the exception of the virtue of justice. As a result of the calculated correlations, it was determined that all character strengths except humor under the virtue of transcendence and the forgiveness and modesty character strengths of under the virtue of temperance showed significant relationships with the parenting styles of the parents of the university students. Looking at the findings of the regression analysis, it was determined that authoritative motherhood and authoritative fatherhood styles significantly predicted all character strengths under the virtues of courage, wisdom, justice, and humanity.
DOI: 10.7910/dvn/b0z5vt
title: Replication data for: Credit Chains and Sectoral Comovement. Does the Use of Trade Credit Amplify Sectoral Shocks?

description: Volume 92, Issue 4
DOI: 10.7910/dvn/pqblbc
title: Gig Workers’ Green Behavior

description: The sample included delivery riders and ride-hailing gig workers, with 932 valid questionnaires collected in the first round and 651 valid questionnaires in the second round. The research topics covered customer mistreatment, platform feedback satisfaction, public service motivation, and green behavior.
DOI: 10.7910/dvn/1pp4ua
title: A85_485.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/0d2f19f1-0f4c-cb4b-ddba-aa66bbd4316f'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/0d2f19f1-0f4c-cb4b-ddba-aa66bbd4316f
DOI: 10.7910/dvn/1r7yy
title: Massachusetts Archives Collection. v.9-Domestic Relations, 1643-1774. SC1/series 45X, Petition of Simon Rogers

description: &lt;p&gt;Petition subject: Slaves &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:13908970"&gt;http://nrs.harvard.edu/urn-3:FHCL:13908970&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: 1727-10-04 &lt;/p&gt; &lt;p&gt;Petition location: Boston &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Simon Rogers&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1727-10-07,1727-10-10 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on October 7, 1727 and read and ordered that the prayer of the petition be granted and that the commissioner of impost be directed to repay what duty he has received for the importation of the negro within named any law, usage, or custom to the contrary notwithstanding and sent for concurrence and received in the Council on October 10, 1727 and read and concurred &lt;/p&gt; &lt;p&gt;Total signatures: 1 &lt;/p&gt; &lt;p&gt;Legislative action summary: Received, read, ordered, sent, received, read, concurred &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 1 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: innholder &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Manuscript &lt;/p&gt; &lt;p&gt;Additional archivist notes: [additional documents in volumes, see pages 202a and 202b], Simeon Rogers, Nick, Barbadoes, Ephraim Breed, Edward Cooper, William Dudley, William Dummer, Hugh Hall, Daniel Russell, Josiah Willard, ship Martha, [remit importation fine] &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: Massachusetts Archives volume 9, pages 201-202 &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;
DOI: 10.7910/dvn/1rj7uj
title: Bad Pumpkin: An open image dataset of bad Pumpkins for machine vision enabled automated grading of produce based on visual characteristics.

description: Open Image Data Set of Bad Pumpkins
DOI: 10.7910/dvn/b6a5om
title: Econometric descriptive analytics and tests

description: The dataset includes the following: GRS statistics, decile ranges, assigned decile scores, multicollinearity test results, and geometric mean returns of the tested factors.
DOI: 10.7910/dvn/vabwvr
title: 06_COVID-19 Cases Dyanmic Map Visualization

description: This case study includes multiple workflows, visualizing global countries' COVID-19 cases as dynamic maps, such as HTML, GIF, and MP4.
DOI: 10.7910/dvn/1qdjmy
title: Replication Data for: Hydrodynamic simulations and HSIs

description: This datasets provide results of hydrodynamic simulations and HSIs evaluations for the study reach of the Lanmucuo River under 18 flow discharge scenarios.
DOI: 10.7910/dvn/1qukmx
title: A13_23953.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/30a4cc12-33f9-49f0-a174-4a882bfaf481'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/30a4cc12-33f9-49f0-a174-4a882bfaf481
DOI: 10.7910/dvn/b5jz4v
title: Executive Agreements Database, Statement Concerning the Agreement with Croatia On The Protection and Preservation Of Certain Cultural Properties Signed At Washington February 9, 2005 Entered Into Force January 8, 2007

description: TIAS 07-108

CAR 2009-013

First signed 02/09/2005
Last signed 02/09/2005
Entry into force (supplemented by last signed) 01/08/2007

stamped 09-13

C06537450

cover memo
DOI: 10.7910/dvn/1pfe81
title: Executive Agreements Database, Agreement Between The United States and Kazakhstan Concerning the Provision Of Assistance Related to the Establishment Of Export Control Systems To Prevent The Proliferation Of Weapons Of Mass Destruction Signed At Almaty December 13, 1993

description: KAV 3752

First signed 12/13/1993
Last signed 12/13/1993
Entry into force (supplemented by last signed) 12/13/1993

stamped 94-33

C06536721

cover memo
DOI: 10.7910/dvn/1pfftf
title: Artificial Intelligence and Its Benefits in Our Lives
title: AIBOL
title: 2022-2023

description: &lt;b&gt;Artificial Intelligence&lt;/b&gt; (AI), has become an integral part of today's technological world. With the ability to process and analyze data quickly, AI helps solve complex problems and provides endless benefits to humans.
One of the main benefits of Artificial Intelligence is its ability to increase efficiency in various fields. In the industrial sector, Artificial Intelligence can be used to automate production processes, reduce the need for human labor, and increase productivity. In the health sector, Artificial Intelligence can be used to diagnose diseases more accurately and quickly, predict disease risks, and identify the most effective treatments.
In the transportation sector, Artificial Intelligence can be used to optimize travel routes, reduce congestion, and improve road safety. Not only in business aspects, Artificial Intelligence also provides benefits in everyday life. The application of Artificial Intelligence in household devices, such as security monitoring and smart home systems, makes life more comfortable and safe.
Artificial Intelligence is used in online applications and services, such as virtual assistants, which help users perform various tasks, such as scheduling meetings, searching for information, and providing recommendations based on user preferences. In addition, Artificial Intelligence has also made a significant contribution in the field of research and exploration. For example, in astronomy, Artificial Intelligence is used to analyze data from telescopes and look for patterns or rare events in the universe.
In science, Artificial Intelligence is used to develop models and simulations that help understand complex phenomena such as climate change, biological evolution and human intelligence. However, like any other technology, Artificial Intelligence also has challenges and risks that need to be overcome. One of the main challenges is concern about data security and privacy.
In using Artificial Intelligence, a lot of data is collected and processed, so it is important to maintain the security and confidentiality of user's personal information. In addition, there is also a risk that Artificial Intelligence may be used for unethical purposes, such as abuse of power or discrimination in decision making.
In facing this challenge, it is important to develop appropriate policies and regulations to monitor and control the use of Artificial Intelligence. In addition, education and awareness of Artificial Intelligence technology is also important to prepare society to face changes and optimize the benefits of Artificial Intelligence.
In addition to the many things described above, there are also other benefits. Namely Hack Instagram using Artificial Intelligence.
description: Overall, Artificial Intelligence has brought significant benefits to society in various aspects of life. By continuing to develop and optimize this technology, we can continue to experience further benefits from AI in the future.
description: STATA, 15
description: Household- and Community-level Surveys
DOI: 10.7910/dvn/1rputf
title: A98_11013f.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/3c9a9634-6596-4ae7-8790-547c227ce841'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/3c9a9634-6596-4ae7-8790-547c227ce841
DOI: 10.7910/dvn/1rwwgx
title: A13_25256.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/0ce04b54-0089-4be6-91c3-9c4e2be07645'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/0ce04b54-0089-4be6-91c3-9c4e2be07645
DOI: 10.7910/dvn/b2ljsb
title: Replication Data for: A National Study of Dockless Transportation: Land Use and Demographic Correlates of Trip Hotspots and Mode Shift

description: This research builds a land use regression model to explain dockless scooter trip generations. We use publicly available scooter trip generation data for Louisville, KY and Minneapolis, MN and publicly available data on land use characteristics. The model shows that scooter trip generations are associated with higher employment densities, higher densities of entertainment land uses (bars and clubs), and in some specifications higher densities of eating establishments and university buildings. We establish that using the regression results to predict out of sample gives predictions that correspond well to observed scooter trip generations in Austin, TX. Because scooter trip data are not available for research in California, we use the Minneapolis model to predict scooter trips as a function of land use characteristics in California census tracts. The results yield a promising screening method that can highlight census tracts with land use characteristics that are potentially supportive of micro-mobility and non-automobile short-trip travel. We recommend that such a screening method can be a first step in more detailed analyses of planning programs or infrastructure that could support non-automobile short-trip travel.
DOI: 10.7910/dvn/b3khkg
title: 2012 Global Hunger Index Data

description: &lt;br&gt;The 2012 GHI report focuses particularly on the issue of how to ensure sustainable food security under conditions of water, land, and energy stress. Demographic changes, rising incomes and associated consumption patterns, and climate change, alongside persistent poverty and inadequate policies and institutions, are all placing serious pressure on natural resources. In this report, IFPRI describes the evidence on land, water, and energy scarcity in developing countries and offers two visions of a future global food system—an unsustainable scenario in which current trends in resource use continue, and a sustainable scenario in which access to food, modern energy, and clean water improves significantly and ecosystem degradation is halted or reversed. Concern Worldwide and Welthungerhilfe provide on-the-ground perspectives on the issues of land tenure and title as well as the impacts of scarce land, water, and energy on poor people in Sierra Leone and Tanzania and describe the work of their organizations in helping to alleviate these impacts.
&lt;/br&gt; &lt;br&gt;&lt;b&gt;&lt;u&gt;See other formats of data here&lt;/u&gt;&lt;/b&gt;: &lt;a href="http://data.ifpri.org/lod/ghi"&gt;&lt;b&gt;Linked Open Data (LOD)&lt;/b&gt;&lt;/a&gt; -- &lt;a href=" http://data.ifpri.org/lod/ghi.owl"&gt;[&lt;b&gt;OWL Version&lt;/b&gt;]&lt;/a&gt; and &lt;a href=" http://data.ifpri.org/lod/ghi.rdf"&gt;[&lt;b&gt;RDF Version&lt;/b&gt;]&lt;/a&gt;&lt;/br&gt; &lt;br&gt;&lt;b&gt;&lt;u&gt;See visual data at&lt;/u&gt;&lt;/b&gt;: &lt;a href="http://public.tableausoftware.com/views/GHIDashboard/GHI_Dashboard?:embed=y"&gt;&lt;b&gt;Data Visualization&lt;/b&gt;&lt;/a&gt;&lt;/br&gt;
description: Country Level Data
description: EXCEL, null
DOI: 10.7910/dvn/bzykyv
title: Replication Data for: Credit Claiming and Mayoral Preferences for Project Uptake Amid a Migrant Crisis

description: Data and code to replicate a survey experiments with Colombian mayors conducted in March 2019.
DOI: 10.7910/dvn/1qbpe0
title: A12_21100.JPG

description: Link to OCHRE database: &lt;a href = ''http://pi.lib.uchicago.edu/1001/org/ochre/5e7a7007-a095-4721-9767-03e4d8f74f6f'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/5e7a7007-a095-4721-9767-03e4d8f74f6f
DOI: 10.7910/dvn/1qj8z
title: Senate Unpassed Legislation 1861, leave to withdraw, SC1/series 231, Petition of Gilbert Smith

description: &lt;p&gt;Petition subject: Against slave hunting &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:11858755"&gt;http://nrs.harvard.edu/urn-3:FHCL:11858755&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Harwich &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: Edward Smalley, Harwich; committee on federal relations &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Gilbert Smith&lt;/li&gt;&lt;li&gt;Charles Hamilton&lt;/li&gt;&lt;li&gt;Mary Ann Smith&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1861-01-16,1861-01-17 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on January 16, 1861 and referred to the committee on federal relations and sent for concurrence and received in the Senate on January 17, 1861 and concurred &lt;/p&gt; &lt;p&gt;Total signatures: 22 &lt;/p&gt; &lt;p&gt;Legislative action summary: Received, referred, sent, received, concurred &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 9 &lt;/p&gt; &lt;p&gt;Female signatures: 11 &lt;/p&gt; &lt;p&gt;Other male signatures: 1 &lt;/p&gt; &lt;p&gt;Unidentified signatures: 1 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: citizens, legal voters, other adults, [females], [other males], ["others"] &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Printed &lt;/p&gt; &lt;p&gt;Signatory column format: column separated &lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: no additional documents &lt;/p&gt; &lt;p&gt;Additional archivist notes: Note on circulation &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: Senate Unpassed 1861, leave to withdraw &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;
DOI: 10.7910/dvn/b1woqx
title: Replication Code for: "Digital Payments and Consumption: Evidence from the 2016 Demonetization in India"

description: Replication code for 
"Digital Payments and Consumption: Evidence from the 2016 Demonetization in India" (RFS)
Authors: Sumit Agarwal, Pulak Ghosh, Jing Li, and Tianyue Ruan
DOI: 10.7910/dvn/pmw9ep
title: Data for Individual differences in exploration and persistence: Grit and beliefs about ability and reward

description: Data for Experiments 1a and 1b for Individual differences in exploration and persistence: Grit and beliefs about ability and reward in PLOS ONE
DOI: 10.7910/dvn/1nyykx
title: A12_22388.JPG

description: Link to OCHRE database: &lt;a href = ''http://pi.lib.uchicago.edu/1001/org/ochre/b203c289-d55f-4bb8-8611-3136ddee84e5'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/b203c289-d55f-4bb8-8611-3136ddee84e5
DOI: 10.7910/dvn/1qqpj5
title: Aquatic macroinvertebrate image dataset

description: Dataset contains approximately one thousand images of each of the thirteen mini stream assessment scoring system (miniSASS) aquatic macroinvertebrate groups. The dataset comprises approximately thirteen thousand photos.
DOI: 10.7910/dvn/1rvtak
title: Senegal Land Capability Classification

description: Land Capability Classification 250m resolution Senegal. Considering all potential soil limitations. Built with 250m SoilGrids data 0-100cm and ALOS PALSAR DEM data 30m resolution.
DOI: 10.7910/dvn/c2vynm
title: Replication Data and Code for: "Inequality in Mortality Decreased Among the Young While Increasing for Older Adults, 1990-2010."
title: Currie and Schwandt, April 2016

description: Replication Data and Code for: Currie and Schwandt, April 2016
DOI: 10.7910/dvn/jzqei7
title: High-resolution measurements of the DT neutron spectrum using new CD foils in the Magnetic Recoil neutron Spectrometer (MRS) on the National Ignition Facility

description: The Magnetic Recoil neutron Spectrometer (MRS) on the National Ignition Facility (NIF) measures the DT neutron spectrum from cryogenically layered Inertial Confinement Fusion (ICF) implosions. Yield, areal density, apparent ion temperature and directional fluid flow are inferred from the MRS data. This paper describes recent advances in MRS measurements of the primary peak using new, thinner, reduced-area deuterated plastic (CD) conversion foils. The new foils allow operation of MRS at yields 2 orders of magnitude higher than previously possible, at a resolution down to ~200 keV FWHM.
description: PSFC REPORT PSFC/JA-16-15<br><br>This work was performed under the auspices of the U.S. DOE by MIT under Contract DE-NA0001857, Lawrence Livermore National Laboratory under Contract DE-AC52- 07NA27344 and General Atomics under Contract DE-NA0001808. Reproduction, translation, publication, use and disposal, in whole or in part, by or for the United States government is permitted.
DOI: 10.7910/dvn/qbkgh
title: Senate Unpassed Legislation 1839, Docket 10525, SC1/series 231, Petition of Olive S. Sturtevant

description: &lt;p&gt;Petition subject: Repeal all laws making any distinctions on account of color &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:11858045"&gt;http://nrs.harvard.edu/urn-3:FHCL:11858045&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Plympton &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Olive S. Sturtevant&lt;/li&gt;&lt;li&gt;Sarah F. Bradford&lt;/li&gt;&lt;li&gt;Maria Leach&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Total signatures: 61 &lt;/p&gt; &lt;p&gt;Female signatures: 61 &lt;/p&gt; &lt;p&gt;Female only signatures: Yes &lt;/p&gt; &lt;p&gt;Identifications of signatories: ladies, women, [females] &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Printed &lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: no additional documents &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: Senate Unpassed 1839, Docket 10525 &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;
DOI: 10.7910/dvn/1ov9lm
title: Replication Code for: Persistent Crises and Levered Asset Prices

description: These files are MATLAB 2021b files to replicate the model in Persistent Crises and Levered Asset Prices.
DOI: 10.7910/dvn/1pom33
title: Replication Data for: Need for Affect, Need for Cognition, and the Desire for Independence

description: Replication files of the paper "Need for Affect, Need for Cognition, and the Desire for Independence"
DOI: 10.7910/dvn/b5hwtz
title: Replication data for "On the sensitivity of wage gap decompositions"

description: Replication data for "On the sensitivity of wage gap decompositions". The paper investigates the sensitivity of average wage gap decompositions to methods resting on different assumptions regarding endogeneity of observed characteristics, sample
selection into employment, and estimators’ functional form. Applying five distinct decomposition techniques to estimate the gender wage gap in the U.S. using data from the National Longitudinal Survey of Youth 1979, it is found that the magnitudes of the wage gap components are generally not stable across methods. Furthermore, the definition of the observed characteristics matters: merely including their levels (as frequently seen in wage decompositions) entails smaller explained and larger unexplained components than when including both their levels and histories in the
analysis.