cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr35435.v2
title: Survey of Consumer Attitudes and Behavior, July 2010
title: Version 2

description: The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations. Since the 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter. The surveys conducted in 2010 focused on topics such as evaluations and expectations about personal finances, employment, price changes, and the national business situation. Opinions were collected regarding respondents' appraisals of present market conditions for purchasing houses, automobiles, and other durables. Explored in this survey were respondents' types of savings and financial investments, loan use, family income, and retirement planning. This survey also asked respondents about health care, general feelings, and independent living communities. Other topics in this series typically include ownership, lease, and use of automobiles, respondents' use of personal computers at home and in the office, and respondents' familiarity with and use of the Internet. Demographic information include ethnic origin, sex, age, marital status, and education.
description: The purpose of this survey series is to forecast changes in aggregate consumer behavior.
description: The data are not weighted. This collection contains four weights; WT (HOUSEHOLD HEAD WEIGHT), WT_HH (HOUSEHOLD WEIGHT), WT_ADHD (ADULT HEAD WEIGHT), and WT_AD (ADULT WEIGHT) that must be used in any analysis. For more information on weights and sampling, please visit the Surveys of Consumers Web site and refer to the documentation on Sample Design and the section on Sample Weights.
description: National sampling of dwelling units selected by area probability sampling.
description: Datasets: DS1: Survey of Consumer Attitudes and Behavior, July 2010
description: Persons aged 18 years or older living in households with telephones within the United States. Smallest Geographic Unit: Census division
description: computer-assisted telephone interview (CATI)Information on the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations and how they were created can be found in the ICPSR Codebook.Additional information on the Survey of Consumers can be found by visiting the Surveys of Consumers Web site.
DOI: 10.5281/zenodo.7637018
title: [IO Islamic 3384] Farîd-aldîn's Mathnawîs

description: <strong>Mathnawîs.</strong> <strong>This manuscript is now IO Islamic 1036 in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Hermann Ethé</strong><strong><em>, </em></strong><strong><em>Catalogue of Persian Manuscripts in the Library of the India Office,</em></strong> <strong>2 vols. (Oxford: India Office, 1903): volume 1,</strong> <strong>number 3384 here with notations and hyperlinks].</strong> 1036 Two mathnawîs by Farîd-aldîn ‘Aṭṭâr. This copy contains: 1.Manṭiḳ-alṭair, on ff. 3<sup>b</sup>-226<sup>b</sup>. 2.Bîsarnâma, on ff. 227<sup>a</sup>-239<sup>a</sup>, beginning: من خدايم من خدايم من خدا فارغم از كبر و از كين و هوا The initial bait of this poem in No. 559 (1031 in this Cat.), fol. 152<sup>b</sup>, and in A. Sprenger’s first copy, Catal., p. 349, is here the third; whereas the beginning of Sprenger’s second copy appears here as second bait. On ff. 1<sup>a</sup>-3<sup>a</sup> there is a short account of some Pîrs of the Ḳâdirî seet in Multân, headed نقل عنايت نامه, and written by Muḥammad Ghauth ibn Sayyid Isma’îl ibn Shaikh ‘Abd-alḳâdir ibn Shaikh Mûsâ Ḥasanî alḥusainî algîlânî, who states that his grandfather ‘Abd-alḳâdir, who died the 17th of Dhû-alḥijjah, A.H. 1087 (A.D. 1677, February 20), invested him (after the premature death of his father), A.H. 1082 (A.D. 1671, 1672), with the خرقه. This copy is dated by Nû-allâh in the Ṣûbah of Khândîs, the 17th of Sha’bân, A.H. 1105=A.D. 1694, April 13 (here called the 38th year of ‘Âlamgîr’s reign, whereas it is more correctly the 37th, ‘Âlamgir having declared himself emperor of Dihlî in Dhû-alḳa’dah of A.H. 1068=A.D. 1658, August). Presented by J. H. Peile, Esq., and received the 19th September, 1818; transferred to Civil College, 9 August, 1819 (Haileybury). No. 3384, olim 19. J. 12, ff. 239, 2 coll., each ll. 10; large and excellent Nasta’lîḳ, written on brown paper, sprinkled with gold; marbled margin throughout, except on the last six leaves; illuminated frontispiece on fol. 3<sup>b</sup>; size, 9 in. by 5 in.
DOI: 10.5281/zenodo.7637017
title: [IO Islamic 3384] Farîd-aldîn's Mathnawîs

description: <strong>Mathnawîs.</strong> <strong>This manuscript is now IO Islamic 1036 in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Hermann Ethé</strong><strong><em>, </em></strong><strong><em>Catalogue of Persian Manuscripts in the Library of the India Office,</em></strong> <strong>2 vols. (Oxford: India Office, 1903): volume 1,</strong> <strong>number 3384 here with notations and hyperlinks].</strong> 1036 Two mathnawîs by Farîd-aldîn ‘Aṭṭâr. This copy contains: 1.Manṭiḳ-alṭair, on ff. 3<sup>b</sup>-226<sup>b</sup>. 2.Bîsarnâma, on ff. 227<sup>a</sup>-239<sup>a</sup>, beginning: من خدايم من خدايم من خدا فارغم از كبر و از كين و هوا The initial bait of this poem in No. 559 (1031 in this Cat.), fol. 152<sup>b</sup>, and in A. Sprenger’s first copy, Catal., p. 349, is here the third; whereas the beginning of Sprenger’s second copy appears here as second bait. On ff. 1<sup>a</sup>-3<sup>a</sup> there is a short account of some Pîrs of the Ḳâdirî seet in Multân, headed نقل عنايت نامه, and written by Muḥammad Ghauth ibn Sayyid Isma’îl ibn Shaikh ‘Abd-alḳâdir ibn Shaikh Mûsâ Ḥasanî alḥusainî algîlânî, who states that his grandfather ‘Abd-alḳâdir, who died the 17th of Dhû-alḥijjah, A.H. 1087 (A.D. 1677, February 20), invested him (after the premature death of his father), A.H. 1082 (A.D. 1671, 1672), with the خرقه. This copy is dated by Nû-allâh in the Ṣûbah of Khândîs, the 17th of Sha’bân, A.H. 1105=A.D. 1694, April 13 (here called the 38th year of ‘Âlamgîr’s reign, whereas it is more correctly the 37th, ‘Âlamgir having declared himself emperor of Dihlî in Dhû-alḳa’dah of A.H. 1068=A.D. 1658, August). Presented by J. H. Peile, Esq., and received the 19th September, 1818; transferred to Civil College, 9 August, 1819 (Haileybury). No. 3384, olim 19. J. 12, ff. 239, 2 coll., each ll. 10; large and excellent Nasta’lîḳ, written on brown paper, sprinkled with gold; marbled margin throughout, except on the last six leaves; illuminated frontispiece on fol. 3<sup>b</sup>; size, 9 in. by 5 in.
DOI: 10.5281/zenodo.7612916
title: Wallops SuperDARN data in netCDF format (2022-Dec)

description: 2022-Dec Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.7612917
title: Wallops SuperDARN data in netCDF format (2022-Dec)

description: 2022-Dec Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.7612908
title: Wallops SuperDARN data in netCDF format (2023-Jan)

description: 2023-Jan Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.7612907
title: Wallops SuperDARN data in netCDF format (2023-Jan)

description: 2023-Jan Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.7387132
title: Wallops SuperDARN data in netCDF format (2022-Nov)

description: 2022-Nov Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.7387133
title: Wallops SuperDARN data in netCDF format (2022-Nov)

description: 2022-Nov Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6803079
title: Smoking-induced subgingival dysbiosis precedes clinical signs of periodontal disease

description: Using 16 rRNA sequencing, a total of 233 subgingival sites from 8 smokers and 9 non-smokers over 6-12 months(804 subgingival samples total) were analyzed to study subgingival microbiome dysbiosis in smokers over time.
DOI: 10.5281/zenodo.6803080
title: Smoking-induced subgingival dysbiosis precedes clinical signs of periodontal disease

description: Using 16 rRNA sequencing, a total of 233 subgingival sites from 8 smokers and 9 non-smokers over 6-12 months(804 subgingival samples total) were analyzed to study subgingival microbiome dysbiosis in smokers over time.
DOI: 10.5281/zenodo.6803209
title: Smoking-induced subgingival dysbiosis precedes clinical signs of periodontal disease

description: Using 16 rRNA sequencing, a total of 233 subgingival sites from 8 smokers and 9 non-smokers over 6-12 months(804 subgingival samples total) were analyzed to study subgingival microbiome dysbiosis in smokers over time.
DOI: 10.5281/zenodo.7626815
title: Smoking-induced subgingival dysbiosis precedes clinical signs of periodontal disease

description: Using 16 rRNA sequencing, a total of 233 subgingival sites from 8 smokers and 9 non-smokers over 6-12 months(804 subgingival samples total) were analyzed to study subgingival microbiome dysbiosis in smokers over time.
DOI: 10.3886/icpsr35434.v2
title: Survey of Consumer Attitudes and Behavior, June 2010
title: Version 2

description: The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations. Since the 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter. The surveys conducted in 2010 focused on topics such as evaluations and expectations about personal finances, employment, price changes, and the national business situation. Opinions were collected regarding respondents' appraisals of present market conditions for purchasing houses, automobiles, and other durables. Explored in this survey were respondents' types of savings and financial investments, loan use, family income, and retirement planning. This survey also asked respondents about financial and health literacy; adult and online education; and technology use in health, finances, travel, and communication. Additional questions on independent living communities and general feelings were asked. Other topics in this series typically include ownership, lease, and use of automobiles, respondents' use of personal computers at home and in the office, and respondents' familiarity with and use of the Internet. Demographic information include ethnic origin, sex, age, marital status, and education.
description: The purpose of this survey series is to forecast changes in aggregate consumer behavior.
description: The data are not weighted. This collection contains four weights; WT (HOUSEHOLD HEAD WEIGHT), WT_HH (HOUSEHOLD WEIGHT), WT_ADHD (ADULT HEAD WEIGHT), and WT_AD (ADULT WEIGHT) that must be used in any analysis. For more information on weights and sampling, please visit the Surveys of Consumers Web site and refer to the documentation on Sample Design and the section on Sample Weights.
description: National sampling of dwelling units selected by area probability sampling.
description: Datasets: DS1: Survey of Consumer Attitudes and Behavior, June 2010
description: Persons age 18 years or older living in households with telephones within the United States. Smallest Geographic Unit: Census Division
description: computer-assisted telephone interview (CATI)Information on the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations and how they were created can be found in the ICPSR Codebook. Additional information on the Survey of Consumers can be found by visiting the Surveys of Consumers Web site.
DOI: 10.3886/icpsr35438.v2
title: Survey of Consumer Attitudes and Behavior, October 2010
title: Version 2

description: The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations. Since the 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter. The surveys conducted in 2010 focused on topics such as evaluations and expectations about personal finances, employment, price changes, and the national business situation. Opinions were collected regarding respondents' appraisals of present market conditions for purchasing houses, automobiles, and other durables. Also explored in this survey were respondents' types of savings and financial investments, loan use, family income, respondents' feelings, historical knowledge, senior living, retirement planning, mortgage refinancing, privacy notices, health care security, and political affiliation. Other topics in this series typically include ownership, lease, and use of automobiles, respondents' use of personal computers at home and in the office, and respondents' familiarity with and use of the Internet. Demographic information include ethnic origin, sex, age, marital status, and education.
description: The purpose of this survey series is to forecast changes in aggregate consumer behavior.
description: The data are not weighted. This collection contains four weights; WT (HOUSEHOLD HEAD WEIGHT), WT_HH (HOUSEHOLD WEIGHT), WT_ADHD (ADULT HEAD WEIGHT), and WT_AD (ADULT WEIGHT) that must be used in any analysis. For more information on weights and sampling, please visit the Surveys of Consumers Web site.
description: National sampling of dwelling units selected by area probability sampling.
description: Datasets: DS1: Survey of Consumer Attitudes and Behavior, October 2010
description: Persons aged 18 years or older living in households with telephones within the United States. Smallest Geographic Unit: Census division
description: computer-assisted telephone interview (CATI)Information on the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations and how they were created can be found in the ICPSR Codebook.Additional information on the Survey of Consumers can be found by visiting the Surveys of Consumers Web site.
DOI: 10.6084/m9.figshare.19604263
title: GenderAwarenessHealthREDICE20-2400

description: Gender Awareness Healht Sciences
DOI: 10.6084/m9.figshare.19604263.v1
title: GenderAwarenessHealthREDICE20-2400

description: Gender Awareness Healht Sciences
DOI: 10.6084/m9.figshare.19604263.v2
title: GenderAwarenessHealthREDICE20-2400

description: Gender Awareness Healht Sciences