cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr35410.v2
title: Survey of Consumer Attitudes and Behavior, June 2008
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 2008 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' general feelings, 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, and martial 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, June 2008
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: 10.3886/icpsr35406.v2
title: Survey of Consumer Attitudes and Behavior, February 2008
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 2008 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. Other topics in this series typically include ownership, lease, and use of automobiles, general feelings, 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, February 2008
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: 10.3886/icpsr35408.v2
title: Survey of Consumer Attitudes and Behavior, April 2008
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 2008 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 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, April 2008
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: 10.3886/icpsr35404.v2
title: Survey of Consumer Attitudes and Behavior, December 2007
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 2007 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, general feelings 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, and 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, December 2007
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: 10.3886/icpsr35401.v2
title: Survey of Consumer Attitudes and Behavior, September 2007
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 2007 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, retirement planning, general feelings and mental health. Other topics in this series typically include ownership, lease, and use of automobiles, and respondents' familiarity with and use of the Internet. Demographic information includes ethnic origin, sex, age, and 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 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, September 2007
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: 10.5283/epub.53588
title: gBaz knockout in all neuronsalf time
DOI: 10.6084/m9.figshare.22117703.v2
title: Cross-disciplinary competences and school-life balance among VET students during Covid-19 pandemic

description: Dataset used for the study reported in Sánchez-Martí, Ciraso-Calí, Fernández-Sequi & Pineda-Herrero (2023). The school-life balance effect on acquiring cross-disciplinary competences in VET: disruption or continuity during COVID-19? <em>Vocations and Learning</em> (in press). <br> The original questionnaire was in Catalan. A translation into English is provided only for understanding porpuses, but has not been back-translated and validated. <br> For any inquiry about the data, the tool or the research, please contact anna.ciraso@uab.cat
DOI: 10.5517/ccdc.csd.cc2d0qqw
title: CCDC 2205238: Experimental Crystal Structure Determination

description: Related Article: Rui-Jie Zhang, Bi-Lian Chai, Hui Xu, Teng-Fei Zheng, Zi-Hao Zhu, Yan Peng, Jing-Lin Chen, Sui-Jun Liu, He-Rui Wen|2023|Inorg.Chem.|62|2760|doi:10.1021/acs.inorgchem.2c03888
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.cc2d29b4
title: CCDC 2206745: Experimental Crystal Structure Determination

description: Related Article: Anna Yusov, Alexandra M. Dillon, Chunhua T. Hu, Stephanie S. Lee, Michael D. Ward|2023|Organic Electronics|115|106752|doi:10.1016/j.orgel.2023.106752
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.cc2d29c5
title: CCDC 2206746: Experimental Crystal Structure Determination

description: Related Article: Anna Yusov, Alexandra M. Dillon, Chunhua T. Hu, Stephanie S. Lee, Michael D. Ward|2023|Organic Electronics|115|106752|doi:10.1016/j.orgel.2023.106752
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.cc2d29d6
title: CCDC 2206747: Experimental Crystal Structure Determination

description: Related Article: Anna Yusov, Alexandra M. Dillon, Chunhua T. Hu, Stephanie S. Lee, Michael D. Ward|2023|Organic Electronics|115|106752|doi:10.1016/j.orgel.2023.106752
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: 10.25345/c54q7r074
title: MassIVE MSV000091313 - Atg12 binding proteins in Entamoeba histolytica
title: To know the E3 enzyme complex to Atg8-PE, GFP-Atg12 binding proteins were identified. Entamoeba histolytica trophozoite that expresses GFP and GFP-EhAtg12 was established and pull-down the Atg12 binding proteins by immunoprecipitation with anti-GFP antibody. The resultant immune complex was analyzed by SDS-PAGE and silver stain. Three unique bands in GFP-Atg12 were excised and analyzed by LC-MS/MS. The proteome data were analyzed by the Sequest search against the E. histolytica proteome. The quantitative values (QV), normalized with unweighted spectrum counts, were used to estimate relative quantities of individual proteins.
DOI: 10.6084/m9.figshare.22117703.v4
title: Cross-disciplinary competences and school-life balance among VET students during Covid-19 pandemic

description: Dataset used for the study reported in Sánchez-Martí, Ciraso-Calí, Fernández-Sequi & Pineda-Herrero (2023). The school-life balance effect on acquiring cross-disciplinary competences in VET: disruption or continuity during COVID-19? <em>Vocations and Learning</em> (in press). <br> The original questionnaire was in Catalan. A translation into English is provided only for understanding porpuses, but has not been back-translated and validated. <br> For any inquiry about the data, the tool or the research, please contact anna.ciraso@uab.cat
DOI: 10.23708/zqpbew
title: Consumption of traditional cowpea-based dishes in urban and rural areas of South Benin

description: Regular consumption of legumes is recommended worldwide for its environmental and health benefits. Cowpea, the most-frequently consumed pulse in West African countries, is rich in nutrients and health-promoting bioactive compounds. In southern Benin, a wide variety of cowpea-based dishes are observed. To quantify the consumption of cowpea-based dishes by the Beninese population, a one-week retrospective Food Frequency Questionnaire and a food atlas were used. Participants were 1217 adults (19-65 years) from three urban or rural areas in southern Benin : 641 adults in Cotonou (surveyed in 2017), and 576 in Adjohoun and Allada (288 respondents per rural area, surveyed in 2019). Data were collected on digital tablets using SurveyCTO™. The FFQ included two parts. In the first part, data on the household head’s socio-professional characteristics, household income and expenses, household belongings, and housing characteristics were collected to characterize the household socio-economic index. In the second part, data on the consumption of cowpea-based dishes and the estimation of the quantities consumed over one week were recorded. During the FFQ-based interviews, general questions about the consumption of various legume species were first asked. This was followed by questions on the cowpea-based dish types consumed by the respondent during the previous week (7-day recall). For each cowpea-based dish, we recorded how many times it was consumed, the last place of consumption, and the quantity usually consumed (estimated using the food atlas). The research protocols describing all procedures that implicated human participants in Cotonou and in the rural areas were submitted to the Benin National Committee of Ethics for Health Re-search, and approved. The clearance numbers are N° 29 (2017) and N°14 (2019) for the survey in Cotonou and in the rural areas respectively. Informed Consent Statement: All respondents gave their signed consent to participate before the start of each interview. The respondents’ anonymity was respected, as stated in the consent form.
DOI: 10.25824/redu/31k6pa
title: datasets.zip

description: Contains the datasets to train and test the Random Forest in an online learning process on the problems Binary Multi-Objective Knapsack Problem (BIN_MOKP), Binary Multi-Objective Unconstrained Combinatorial Optimization Problem (BIN_MUCOP) and Integer Multi-Objective Unconstrained Combinatorial Optimization Problem (INT_MUCOP).
DOI: 10.25824/redu/e5y205
title: experimental_results.zip

description: Experimental results of both prediction and optimization.
DOI: 10.25824/redu/5ewegu
title: source_code.zip

description: Source code (in Python) with the implementations of the algorithms MOEA/D, MOEA/D-NFTS and MOEA/D-RFTS. It also includes the test instances of the benchmark problems.
DOI: 10.25824/redu/zxjoq5
title: Replication data for: effects of the random forests hyper-parameters in surrogate models for multi-objective combinatorial optimization - a case study using MOEA/D-RFTS

description: This package contains the datasets, experimental results and source code of the paper Effects of the Random Forests Hyper-Parameters in Surrogate Models for Multi-Objective Combinatorial Optimization: A Case Study using MOEA/D-RFTS. The following files are included: File datasets.zip - contains the datasets used to train and test the Random Forest in an online learning process. Each dataset contains 5100 instances (decision vectors), all of them with the corresponding objective functions. There is a dataset for each benchmark problem: (i) the Binary Multi-Objective Knapsack Problem (BIN_MOKP); (ii) the Binary Multi-Objective Unconstrained Combinatorial Optimization Problem (BIN_MUCOP), and (iii) the Integer Multi-Objective Unconstrained Combinatorial Optimization Problem (INT_MUCOP). The file names are organized as follows: _M_. One example is: bin_mokp_M2_100.csv, indicating that this dataset is used for the BIN_MOKP problem, with M=2 objectives and 100 decision variables; File experiments_results.zip - contains the experimental results of the predictions and also the optimizations. The subfolder “prediction” contains Mean Absolute Error (MAE) results of each hyper-parameter combination. The file names are organized as follows: _M__tunning_results.csv. One example is: bin_mokp_M2_100_tunning_results.csv, indicating that this file contains the results of the predictions when we applied the Random Forest to the BIN_MOKP problem, with M=2 objectives and 100 decision variables. The subfolder “optimization” contains the results of the optimization process for each algorithm, problem and dimensionality; File source_code.zip - contains the source code (in Python Programming Language) to reproduce the experiments. The source code contains: (i) the implementations of the algorithms MOEA/D, MOEA/D-NFTS and MOEA/D-RFTS; (ii) the test instances of each benchmark problem (BIN_MOKP, BIN_MUCOP and INT_MUCOP), number of objectives (2 and 3) and dimensionality (100,300 and 500). The instructions are in the README.txt file inside the package.
DOI: 10.17632/328zjkn4fh.1
title: High-throughput mechano-cytometry as a method to detect apoptosis, necroptosis, and ferroptosis

description: Here the datasets used to write the work titled: 'High-throughput mechano-cytometry as a method to detect apoptosis, necroptosis, and ferroptosis', is presented.
DOI: 10.5519/qd.gv34mynt
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)