cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr35460.v1
title: Survey of Consumer Attitudes and Behavior, August 2012
title: Version 1

description: The Survey of Consumer Attitudes and Behavior series (also known as the Survey 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 2012 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 homes, automobiles, and other durables. Also explored in this survey were respondents' types of savings and financial investments, loan use, family income, and retirement planning. 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 includes 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, however, this collection contains four weight variables that can be used in any analysis: WT_AD (ADULT WEIGHT), WT_HH (HOUSEHOLD WEIGHT), WT_ADHD (ADULT HEAD WEIGHT), and WT (HOUSEHOLD HEAD WEIGHT). 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 sample of dwelling units selected by area probability sampling.
description: Datasets: DS1: Survey of Consumer Attitudes and Behavior, August 2012
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 Surveys of Consumers can be found by visiting the Surveys of Consumers Web site.
DOI: 10.25380/iastate.19719554.v2
title: Global 1 km resolution daily near-surface air temperature for 2011

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2011 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185
DOI: 10.25380/iastate.19719667.v2
title: Global 1 km resolution daily near-surface air temperature for 2012

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2012 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185
DOI: 10.3886/icpsr36442.v1
title: Survey of Consumer Attitudes and Behavior, March 2013
title: Version 1

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 2013 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, and retirement planning. Demographic information includes 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, however, this collection contains four weight variables; 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 refer to the documentation and/or visit the Surveys of Consumers Web site.
description: National sample of dwelling units selected by area probability sampling.
description: Datasets: DS1: Survey of Consumer Attitudes and Behavior, March 2013
description: Persons aged 18 years or older living in household 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 Surveys of Consumers can be found by visiting the Surveys of Consumers Web site.
DOI: 10.3886/icpsr36441.v1
title: Survey of Consumer Attitudes and Behavior, February 2013
title: Version 1

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 2013 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, computers, and other durables. Also explored in this survey, were respondents' types of savings and financial investments, loan use, family income, and retirement planning. Demographic information includes 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, however, this collection contains four weight variables; 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 refer to the documentation and/or visit the Surveys of Consumers Web site.
description: National sample of dwelling units selected by area probability sampling.
description: Datasets: DS1: Survey of Consumer Attitudes and Behavior, February 2013
description: Persons aged 18 years or older living in households with telephones within the United States. Smallest Geographic Unit: Census unit
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 Surveys of Consumers can be found by visiting the Surveys of Consumers Web site.
DOI: 10.3886/icpsr36440.v1
title: Survey of Consumer Attitudes and Behavior, January 2013
title: Version 1

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 2013 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, computers, and other durables. Also explored in this survey were respondents' types of savings and financial investments, family income, retirement planning, and predictions regarding changes in gasoline prices. Demographic information includes 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, however, this collection contains four weight variables; 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 refer to the documentation and/or visit the Surveys of Consumers Web site.
description: National sample of dwelling units selected by area probability sampling.
description: Datasets: DS1: Survey of Consumer Attitudes and Behavior, January 2013
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 Surveys of Consumers can be found by visiting the Surveys of Consumers Web site.
DOI: 10.6084/m9.figshare.21720008.v1
title: 20171101_ESCI_Database_LA.csv

description: Functional trait data collected to study the ecological (CSR scheme) and ecophysiological strategies of three dominant co-ocurring shrub species in a colombian inselberg.
DOI: 10.6084/m9.figshare.21720008.v2
title: Tropical shrubs living in an extreme environment show convergent ecological strategies but divergent ecophysiological strategies

description: Functional trait data collected to study the ecological (CSR scheme) and ecophysiological strategies of three dominant co-ocurring shrub species in a colombian inselberg.
DOI: 10.3886/icpsr36443.v1
title: Survey of Consumer Attitudes and Behavior, April 2013
title: Version 1

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 2013 focused on topics such as evaluations and expectations about personal finances, employment, price changes, tax changes and the national business situation. Opinions were collected regarding respondents' appraisals of present market conditions for purchasing houses, automobiles, computers, and other durables. Also explored in this survey, were respondents' types of savings and financial investments, loan use, family income, and retirement planning. Demographic information includes 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, however, this collection contains four weight variables; 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 refer to the documentation and/or visit the Surveys of Consumers Web site.
description: National sample of dwelling units selected by area probability sampling.
description: Datasets: DS1: Survey of Consumer Attitudes and Behavior, April 2013
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 Surveys of Consumers can be found by visiting the Surveys of Consumers Web site.
DOI: 10.3886/icpsr35464.v1
title: Survey of Consumer Attitudes and Behavior, December 2012
title: Version 1

description: The Survey of Consumer Attitudes and Behavior series 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. Since the 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter. The surveys conducted in 2012 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, computers, and other durables. Also explored in this survey, were respondents' types of savings and financial investments, loan use, family income, and retirement planning. 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 includes 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. However, this collection contains four weight variables; 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 sample of dwelling units selected by area probability sampling.
description: Datasets: DS1: Survey of Consumer Attitudes and Behavior, December 2012
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)Additional information on the Surveys of Consumers can be found by visiting the Surveys of Consumers Web site.
DOI: 10.6084/m9.figshare.21972911
title: Dataset of linear-array recordings from macaque V4 during a selective attention task

description: This dataset contains recorded spiking activity from the visual area V4 of one monkey during a selective attention task, using a 16-channel laminar electrode. <br> For more details check the README file and "Engel, T. A., Steinmetz, N. A., Gieselmann, M. A., Thiele, A., Moore, T., & Boahen, K. (2016). Selective modulation of cortical state during spatial attention. <em>Science</em>, <em>354</em>(6316), 1140-1144. https://doi.org/10.1126/science.aag1420". <br> Related references and datasets which include recordings from V1 Paper: Gieselmann, M. A., & Thiele, A. (2022). Stimulus dependence of directed information exchange between cortical layers in macaque V1. <em>Elife</em>, <em>11</em>, e62949. https://doi.org/10.7554/eLife.62949 Data: Gieselmann, Marc; Thiele, Alexander (2022): Stimulus dependence of directed information exchange between cortical layers in macaque V1. Newcastle University. Dataset. https://doi.org/10.25405/data.ncl.17136182.v1 and recordings from V1 and V4: Paper: Doostmohammadi, J., Gieselmann, M. A., van Kempen, J., Lashgari, R., Yoonessi, A., & Thiele, A. (2023). Ripples in macaque V1 and V4 are modulated by top-down visual attention. <em>Proceedings of the National Academy of Sciences</em>, <em>120</em>(5), e2210698120. https://doi.org/10.1073/pnas.2210698120 Data: Doostmohammadi J, Gieselmann MA, van Kempen J, Lashgari R, Yoonessi A, Thiele A (2023) Sharp wave ripples in macaque V1 and V4 are modulated by top-down visual attention. G-Node. https://doi.org/10.12751/g-node.lws3em <br>
DOI: 10.6084/m9.figshare.21972911.v1
title: Dataset of linear-array recordings from macaque V4 during a selective attention task

description: This dataset contains recorded spiking activity from the visual area V4 of one monkey during a selective attention task, using a 16-channel laminar electrode. <br> For more details check the README file and "Engel, T. A., Steinmetz, N. A., Gieselmann, M. A., Thiele, A., Moore, T., & Boahen, K. (2016). Selective modulation of cortical state during spatial attention. <em>Science</em>, <em>354</em>(6316), 1140-1144. https://doi.org/10.1126/science.aag1420". <br> Related references and datasets which include recordings from V1 Paper: Gieselmann, M. A., & Thiele, A. (2022). Stimulus dependence of directed information exchange between cortical layers in macaque V1. <em>Elife</em>, <em>11</em>, e62949. https://doi.org/10.7554/eLife.62949 Data: Gieselmann, Marc; Thiele, Alexander (2022): Stimulus dependence of directed information exchange between cortical layers in macaque V1. Newcastle University. Dataset. https://doi.org/10.25405/data.ncl.17136182.v1 and recordings from V1 and V4: Paper: Doostmohammadi, J., Gieselmann, M. A., van Kempen, J., Lashgari, R., Yoonessi, A., & Thiele, A. (2023). Ripples in macaque V1 and V4 are modulated by top-down visual attention. <em>Proceedings of the National Academy of Sciences</em>, <em>120</em>(5), e2210698120. https://doi.org/10.1073/pnas.2210698120 Data: Doostmohammadi J, Gieselmann MA, van Kempen J, Lashgari R, Yoonessi A, Thiele A (2023) Sharp wave ripples in macaque V1 and V4 are modulated by top-down visual attention. G-Node. https://doi.org/10.12751/g-node.lws3em <br>
DOI: 10.23641/asha.22044320
title: Measuring articulatory patterns in ALS (Teplansky et al., 2023)

description: <strong>Purpose: </strong>The aim of this study was to leverage data-driven approaches, including a novel articulatory consonant distinctiveness space (ACDS) approach, to better understand speech motor control in amyotrophic lateral sclerosis (ALS). <strong>Method: </strong>Electromagnetic articulography was used to record tongue and lip movement data during the production of 10 consonants from healthy controls (<em>n</em> = 15) and individuals with ALS (<em>n</em> = 47). To assess phoneme distinctness, speech data were analyzed using two classification algorithms, Procrustes matching (PM) and support vector machine (SVM), and the area/volume of the ACDS. Pearson’s correlation coefficient was used to examine the relationship between bulbar impairment and the ACDS. Analysis of variance was used to examine the effects of bulbar impairment on consonant distinctiveness and consonant classification accuracies in clinical subgroups. <strong>Results: </strong>There was a significant relationship between the ACDS and intelligible speaking rate (area, <em>p</em> = .003; volume, <em>p</em> = .010), and the Amyotrophic Lateral Sclerosis Functional Rating Scale–Revised (ALSFRS-R) bulbar subscore (area, <em>p</em> = .009; volume, <em>p</em> = .027). Consonant classification performance followed a consistent pattern with bulbar severity, where consonants produced by speakers with more severe ALS were classified less accurately (SVM = 75.27%; PM = 74.54%) than the healthy, asymptomatic, and mild–moderate groups. In severe ALS, area of the ACDS was significantly condensed compared to both asymptomatic (<em>p</em> = .004) and mild–moderate (<em>p</em> = .013) groups. There was no statistically significant difference in area between the severe ALS group and healthy speakers (<em>p</em> = .292). <strong>Conclusions:</strong> Our comprehensive approach is sensitive to early oromotor changes in response due to disease progression. The preserved articulatory consonant space may capture the use of compensatory adaptations to counteract influences of neurodegeneration. <strong>Supplemental Material S1.</strong> Post-hoc comparisons using Tukey’s honestly significant difference (HSD) test for the area and volume of the articulatory consonant distinctiveness space and classification methods. Mean differences are provided for each pairwise comparison. Teplansky, K. J., Wisler, A., Green, J. R., Heitzman, D., Austin, S., & Wang, J. (2023). Measuring articulatory patterns in amyotrophic lateral sclerosis using a data-driven articulatory consonant distinctiveness space approach.<em> Journal of Speech, Language, and Hearing Research</em>. Advance online publication. https://doi.org/10.1044/2022_JSLHR-22-00320 <strong>Publisher Note:</strong> This article is part of the Special Issue: Select Papers From the 2022 Conference on Motor Speech.