cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2022-02.2442877/2179497
title: Data for EMSL Project 51433 from February 2022
DOI: 10.25582/data.2022-02.2442981/2179498
title: Data for EMSL Project 51433 from February 2022
DOI: 10.25582/data.2022-03.2445781/2179499
title: Data for EMSL Project 51433 from March 2022
DOI: 10.25582/data.2022-03.2449149/2179500
title: Data for EMSL Project 51433 from March 2022
DOI: 10.25582/data.2022-02.2438979/2179501
title: Data for EMSL Project 51433 from February 2022
DOI: 10.25582/data.2022-03.2451831/2179502
title: Data for EMSL Project 51433 from March 2022
DOI: 10.25582/data.2022-02.2438797/2179503
title: Data for EMSL Project 51433 from February 2022
DOI: 10.25582/data.2022-03.2448359/2179504
title: Data for EMSL Project 51433 from March 2022
DOI: 10.25582/data.2022-02.2443021/2179505
title: Data for EMSL Project 51433 from February 2022
DOI: 10.25582/data.2022-04.2482739/2179506
title: Data for EMSL Project 51433 from April 2022
DOI: 10.25582/data.2022-02.2440660/2179507
title: Data for EMSL Project 51433 from February 2022
DOI: 10.25582/data.2022-03.2451717/2179508
title: Data for EMSL Project 51433 from March 2022
DOI: 10.25582/data.2022-02.2443114/2179509
title: Data for EMSL Project 51433 from February 2022
DOI: 10.25582/data.2022-03.2449250/2179510
title: Data for EMSL Project 51433 from March 2022
DOI: 10.25582/data.2022-03.2455458/2179511
title: Data for EMSL Project 51433 from March 2022
DOI: 10.25582/data.2022-02.2442857/2179512
title: Data for EMSL Project 51433 from February 2022
DOI: 10.25582/data.2022-03.2450129/2179513
title: Data for EMSL Project 51433 from March 2022
DOI: 10.25582/data.2022-04.2482096/2179514
title: Data for EMSL Project 51433 from April 2022
DOI: 10.25582/data.2022-03.2458866/2179515
title: Data for EMSL Project 51433 from March 2022
DOI: 10.25582/data.2022-04.2482227/2179516
title: Data for EMSL Project 51433 from April 2022
DOI: 10.6084/m9.figshare.24500870.v1
title: Additional file 1 of Changes in neonatal morbidity, neonatal care practices, and length of hospital stay of surviving infants born very preterm in the Netherlands in the 1980s and in the 2000s: a comparison analysis with identical characteristics definitions

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.24500870
title: Additional file 1 of Changes in neonatal morbidity, neonatal care practices, and length of hospital stay of surviving infants born very preterm in the Netherlands in the 1980s and in the 2000s: a comparison analysis with identical characteristics definitions

description: Supplementary Material 1
DOI: 10.3886/icpsr35376.v3
title: Survey of Consumer Attitudes and Behavior, August 2005
title: Version 3

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 2005 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, retirement planning, spending and working preferences, as well as general feelings. Other topics in this series typically include ownership, lease, finance 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 refer to the documentation and/or 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, August 2005
description: Persons aged 18 years or older living in households with telephones within the United States. Smallest Geographic Unit: Census divison
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 P.I. Codebook. Additional information on the Survey of Consumers can be found by visiting the Surveys of Consumers Web site.
DOI: 10.6084/m9.figshare.19694925.v1
title: An intervention to address math anxiety in the geosciences

description: Math anxiety involves moderate to extreme fear, anxiety, and occasionally physical pain associated with anticipating or performing mathematical tasks. High levels of math anxiety have been tied to students taking lower levels of math and choosing less quantitatively challenging courses and careers. In a small geoscience program in a primarily undergraduate university, math anxiety has been assessed using a standardized math anxiety rating survey embedded into a more general anxiety survey. An intervention that involves re-phrasing geoscience-focused quantitative word problems was used on both low- and high-stakes assessments. In courses with no intervention at both the major and general education levels, students were found to have similar math anxiety ratings and no significant change over the semester. In contrast, students in the intervention major courses were statistically more likely to have a drop in their math anxiety when compared to the large control and also when compared to a smaller control of similar-level courses. In a geoscience classroom, rephrasing quantitative questions to focus more on geoscience knowledge versus the quantitative task appears to be a viable way to lower math anxiety while giving students’ experience to build their quantitative skills.
DOI: 10.6084/m9.figshare.19694925
title: An intervention to address math anxiety in the geosciences

description: Math anxiety involves moderate to extreme fear, anxiety, and occasionally physical pain associated with anticipating or performing mathematical tasks. High levels of math anxiety have been tied to students taking lower levels of math and choosing less quantitatively challenging courses and careers. In a small geoscience program in a primarily undergraduate university, math anxiety has been assessed using a standardized math anxiety rating survey embedded into a more general anxiety survey. An intervention that involves re-phrasing geoscience-focused quantitative word problems was used on both low- and high-stakes assessments. In courses with no intervention at both the major and general education levels, students were found to have similar math anxiety ratings and no significant change over the semester. In contrast, students in the intervention major courses were statistically more likely to have a drop in their math anxiety when compared to the large control and also when compared to a smaller control of similar-level courses. In a geoscience classroom, rephrasing quantitative questions to focus more on geoscience knowledge versus the quantitative task appears to be a viable way to lower math anxiety while giving students’ experience to build their quantitative skills.
DOI: 10.3886/icpsr35387.v1
title: Survey of Consumer Attitudes and Behavior, July 2006
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 2006 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, general feelings, and retirement planning. 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, 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: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels.; Checked for undocumented or out-of-range codes..
description: Datasets: 
 
 DS1: Dataset
description: Survey of Consumer Attitudes and Behavior Series
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.
description: Persons aged 18 years or older living in households with telephones within the United States. Smallest Geographic Unit: Census division
description: National sampling of dwelling units selected by area probability sampling.
DOI: 10.3886/icpsr35387.v2
title: Survey of Consumer Attitudes and Behavior, July 2006
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 2006 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, general feelings, and retirement planning. 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, 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, July 2006
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/icpsr35387.v3
title: Survey of Consumer Attitudes and Behavior, July 2006
title: Version 3

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 2006 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, general feelings, and retirement planning. 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, 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, July 2006
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 P.I. Codebook.Additional information on the Survey of Consumers can be found by visiting the Surveys of Consumers Web site.
DOI: 10.35078/c2j8pc
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Uberaba | Município: São Francisco de Sales

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.13026/aw2e-he88
title: Clinical-T5: Large Language Models Built Using MIMIC Clinical Text

description: Recent advances in scaling large language models (LLMs) has resulted in
significant improvements over a number of natural language processing
benchmarks. There has been some work to pretrain these language models over
clinical text. These works demonstrate that training a language model using
masked language modeling (MLM) on clinical notes is an effective technique for
boosting performance on downstream tasks. All of these previous works use
decoder-only architectures. We train 4 different clinical T5 models on the
union of MIMIC-III and IV notes. Two of the models are initialized from
previous T5-models (T5-base and SciFive). We additionally train a T5-Base and
T5-Large model from scratch. These models should not be distributed to non-
credentialed users. Research has shown that these language models have the
potential to leak sensitive information. Due to this potential risk, we
release the model weights under PhysioNet credentialed access.
DOI: 10.13026/rj8x-v335
title: Clinical-T5: Large Language Models Built Using MIMIC Clinical Text

description: Recent advances in scaling large language models (LLMs) has resulted in
significant improvements over a number of natural language processing
benchmarks. There has been some work to pretrain these language models over
clinical text. These works demonstrate that training a language model using
masked language modeling (MLM) on clinical notes is an effective technique for
boosting performance on downstream tasks. All of these previous works use
decoder-only architectures. We train 4 different clinical T5 models on the
union of MIMIC-III and IV notes. Two of the models are initialized from
previous T5-models (T5-base and SciFive). We additionally train a T5-Base and
T5-Large model from scratch. These models should not be distributed to non-
credentialed users. Research has shown that these language models have the
potential to leak sensitive information. Due to this potential risk, we
release the model weights under PhysioNet credentialed access.
DOI: 10.5066/p91s9dif
title: One-second USGS magnetic observatory data collected before 2013

description: The�USGS Geomagnetism Program�operates a network of magnetic observatories that collect vector and scalar magnetometer data for use in Earth main-field modeling, geophysics research, space physics research, and space weather hazard assessment and mitigation. Until mid-2011, only 1-minute time resolution magnetic field measurements were archived with the�INTERMAGNET�consortium following international magnetic observatory standards. 1-second time resolution magnetic field measurements, which had already been collected by all the USGS observatories for up to almost a decade prior, started being archived with INTERMAGNET on June 13, 2011, or July 27, 2012 in the case of the more recently constructed Deadhorse (DED) magnetic observatory. This data release contains 1-second time resolution magnetic field measurements collected up through the end of 2012, after which time 1-second data from USGS magnetic observatories may be obtained from INTERMAGNET. There is some overlap between data in this release and those data archived with INTERMAGNET. Any discrepancies that may exist between these two data sources should resolve in favor of INTERMAGNET.
DOI: 10.6073/pasta/8afc200ae6ff6d9151a9884f0e2ff1a6
title: Fish community data obtained from Antillean-Z fish trap deployment in the Eastern Gulf of Shark Bay, Australia from June 2013 to August 2013

description: This dataset consists of capture data of teleost communities caught in Antillean-Z fish traps deployed in 2013. Also included are anciliary environmental data as well as trap deployment information. This dataset will be used to determine changes in teleost community structure and abundance in response to an extreme temperature event and associated decline in seagrass cover in Shark Bay, Western Australia.
DOI: 10.6084/m9.figshare.19785292
title: lynx dataset.xls

description: Raw data
DOI: 10.6084/m9.figshare.19785292.v4
title: lynx dataset.xls

description: Raw data
DOI: 10.5281/zenodo.7558944
title: Predictors and predictands for "Downscaling CORDEX through deep learning to daily 1 km multivariate ensemble in complex terrain"

description: Predictors and predictands for "Downscaling CORDEX through deep learning to daily 1 km multivariate ensemble in complex terrain". Training predictors from the ERA5 reanalysis, projecting predictors from CORDEX EUR11, and predictand from ReKIS (https://rekis.hydro.tu-dresden.de). Data is saved in ".rds" format, to be read from R, except for CORDEX files in NetCDF.
DOI: 10.5281/zenodo.7569713
title: Dataset for: 'Patterns in the Plankton – Spatial distribution and long-term variability of copepods on the Agulhas Bank'

description: This dataset contains environmental data (in situ temperature and chlorophyll <em>a</em>) and integrated biomass (mg C m<sup>-2</sup>) data for a number of copepod taxa, as well as total copepod biomass and abundance, on the Agulhas Bank, South Africa, as predicted by a Generalized Additive Model (GAM), during late austral spring (October-December) from 1988 to 2011. Mean environmental and copepod biomass parameters for each area and year are also provided. Relevant information on sampling and statistical analysis of spatial distributions has been extracted from the paper. Please see paper for full details and figures, including supplementary data; https://doi.org/10.1016/j.dsr2.2023.105265. Please see the Word document Huggett_et_al_2023_README.docx for a list of the data files and descriptions of the contents.
DOI: 10.5281/zenodo.7569712
title: Dataset for: 'Patterns in the Plankton – Spatial distribution and long-term variability of copepods on the Agulhas Bank'

description: This dataset contains environmental data (in situ temperature and chlorophyll <em>a</em>) and integrated biomass (mg C m<sup>-2</sup>) data for a number of copepod taxa, as well as total copepod biomass and abundance, on the Agulhas Bank, South Africa, as predicted by a Generalized Additive Model (GAM), during late austral spring (October-December) from 1988 to 2011. Mean environmental and copepod biomass parameters for each area and year are also provided. Relevant information on sampling and statistical analysis of spatial distributions has been extracted from the paper. Please see paper for full details and figures, including supplementary data; https://doi.org/10.1016/j.dsr2.2023.105265. Please see the Word document Huggett_et_al_2023_README.docx for a list of the data files and descriptions of the contents.
DOI: 10.18112/openneuro.ds004450.v1.0.0
title: EFR01