cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30196663
title: <b>A Deep-Learning-Powered Pipeline for EEG-Based Dyslexia Detection Achieving ~94.66% Accuracy</b>

description: Dyslexia is a language-based learning disorder that significantly impacts reading, spelling, and writing abilities. Early identification of dyslexia is critical for targeted intervention and long-term academic success. Recent research has explored electroencephalography (EEG) signals to capture the neurophysiological correlates of dyslexia, often revealing distinctive patterns in brain oscillations and event-related potentials. In this study, we present a deep-learning-based approach for EEG-based dyslexia detection that achieves <b>94.66% classification accuracy</b> on a real-world dataset. Our methodology encompasses preprocessing, feature selection via mutual information, hyperparameter tuning using KerasTuner, and final network training with advanced regularization and callbacks. Notably, we benchmark our pipeline against classical dyslexia detection workflows, highlighting how our approach leverages modern techniques (feature normalization, batch normalization, dropout, automated hyperparameter optimization) to reach high accuracy while remaining computationally tractable. We also discuss potential translational applications in educational and clinical settings, challenges of EEG data variability, and the need for large-scale standardized EEG repositories for robust, replicable dyslexia detection research.
DOI: 10.6084/m9.figshare.30196663.v1
title: <b>A Deep-Learning-Powered Pipeline for EEG-Based Dyslexia Detection Achieving ~94.66% Accuracy</b>

description: Dyslexia is a language-based learning disorder that significantly impacts reading, spelling, and writing abilities. Early identification of dyslexia is critical for targeted intervention and long-term academic success. Recent research has explored electroencephalography (EEG) signals to capture the neurophysiological correlates of dyslexia, often revealing distinctive patterns in brain oscillations and event-related potentials. In this study, we present a deep-learning-based approach for EEG-based dyslexia detection that achieves <b>94.66% classification accuracy</b> on a real-world dataset. Our methodology encompasses preprocessing, feature selection via mutual information, hyperparameter tuning using KerasTuner, and final network training with advanced regularization and callbacks. Notably, we benchmark our pipeline against classical dyslexia detection workflows, highlighting how our approach leverages modern techniques (feature normalization, batch normalization, dropout, automated hyperparameter optimization) to reach high accuracy while remaining computationally tractable. We also discuss potential translational applications in educational and clinical settings, challenges of EEG data variability, and the need for large-scale standardized EEG repositories for robust, replicable dyslexia detection research.
DOI: 10.6084/m9.figshare.28938089
title: Datasets analysed in the manuscript titled '<b>Investigating the relationship between heat-mediated cognitive impairment and antipredator response in a wild bird</b>'

description: <b>The dataset includes three spreadsheets, each of which contains two sheets: one with the data and one with metadata (i.e., definitions of the column headings).</b><b>REPEATABILITY_DATASET</b><br>This dataset was used to estimate the repeatability of behavioural coding. It includes measurements of time spent vigilant, coded both by the same observer at different times and by a different observer.<b>COGNITION_DATASET</b><br>This dataset includes associative learning scores obtained by individuals tested under normal and high temperature conditions. It also contains individual attributes and proxies of motivation at the time of cognitive testing. The dataset was used to investigate the effect of air temperature on associative learning performance.<b>PREDATOR_PRESENTATIONS_PCA_DATASET</b><br>This dataset contains behaviours coded from videos of model predator presentations (both pre- and post-reveal), along with associative learning scores linked to these presentations in the main analysis. The primary measure of antipredator behaviour used in the study is PC1, derived from a Principal Component Analysis of three variables: <i>Alarm_p</i>, <i>Flying_p</i>, and <i>Vigilance_p</i>.<br>
DOI: 10.6084/m9.figshare.28938089.v2
title: Datasets analysed in the manuscript titled '<b>Investigating the relationship between heat-mediated cognitive impairment and antipredator response in a wild bird</b>'

description: <b>The dataset includes three spreadsheets, each of which contains two sheets: one with the data and one with metadata (i.e., definitions of the column headings).</b><b>REPEATABILITY_DATASET</b><br>This dataset was used to estimate the repeatability of behavioural coding. It includes measurements of time spent vigilant, coded both by the same observer at different times and by a different observer.<b>COGNITION_DATASET</b><br>This dataset includes associative learning scores obtained by individuals tested under normal and high temperature conditions. It also contains individual attributes and proxies of motivation at the time of cognitive testing. The dataset was used to investigate the effect of air temperature on associative learning performance.<b>PREDATOR_PRESENTATIONS_PCA_DATASET</b><br>This dataset contains behaviours coded from videos of model predator presentations (both pre- and post-reveal), along with associative learning scores linked to these presentations in the main analysis. The primary measure of antipredator behaviour used in the study is PC1, derived from a Principal Component Analysis of three variables: <i>Alarm_p</i>, <i>Flying_p</i>, and <i>Vigilance_p</i>.<br>
DOI: 10.6084/m9.figshare.28938089.v3
title: Datasets analysed in the manuscript titled '<b>Investigating the relationship between heat-mediated cognitive impairment and antipredator response in a wild bird</b>'

description: <b>The dataset includes three spreadsheets, each of which contains two sheets: one with the data and one with metadata (i.e., definitions of the column headings).</b><b>REPEATABILITY_DATASET</b><br>This dataset was used to estimate the repeatability of behavioural coding. It includes measurements of time spent vigilant, coded both by the same observer at different times and by a different observer.<b>COGNITION_DATASET</b><br>This dataset includes associative learning scores obtained by individuals tested under normal and high temperature conditions. It also contains individual attributes and proxies of motivation at the time of cognitive testing. The dataset was used to investigate the effect of air temperature on associative learning performance.<b>PREDATOR_PRESENTATIONS_PCA_DATASET</b><br>This dataset contains behaviours coded from videos of model predator presentations (both pre- and post-reveal), along with associative learning scores linked to these presentations in the main analysis. The primary measure of antipredator behaviour used in the study is PC1, derived from a Principal Component Analysis of three variables: <i>Alarm_p</i>, <i>Flying_p</i>, and <i>Vigilance_p</i>.<br>
DOI: 10.15468/dl.x8b6kn
title: Occurrence Download

description: A dataset containing 1150673 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Netherlands",
 "DatasetKey is Dutch Vegetation Database",
 "OccurrenceStatus is Present",
 "Year 2010-2025"
 ]
}

 The dataset includes 1150673 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011435-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhr928
title: Occurrence Download

description: A dataset containing 22211 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "HasCoordinate is true",
 "Year is 1920"
 ]
}

 The dataset includes 22211 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011452-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30196489
title: <b>The data of the </b><b>Non-rheumatic Valvular Heart Disease and their Subtypes globally from the </b><b>Global Burden of Disease 2023</b>

description: <b>Background</b>Non-rheumatic valvular heart disease (NRVHD) is a valvular dysfunction disease, including non-rheumatic degenerative mitral valve disease (DMVD), non-rheumatic calcific aortic valve disease (NRCAVD) and other NRVHD. The mortality of NRVHD and their subtypes continues to rise with the aging of the population. Based on Global Burden of Disease (GBD) 2023 data, we systematically analyzed the burden of NRVHD and their subtypes globally and in Asia from 1990 to 2023, and projected trends by 2050.<b>Methods</b>The mortality and disability-adjusted life years (DALYs) rates were extracted to analyze the disease burden of NRVHD and their subtypes across regions, countries, age groups and genders. Joinpoint regression analysis was used to assess temporal and regional trends. Age-Period-Cohort (APC) model was used to analyze trends in disease burden changes by age and year. The BAPC models were used to forecast disease trends up to 2050.<b>Results</b>In 2023, the deaths cases for NRVHD, NRCAVD, DMVD and other NRVD globally were 191358 (95% UI: 157502, 215074), 149460 (95% UI: 120529, 166659), 39768 (95% UI: 32430, 51510) and 2129 (95% UI: 1314, 3327). In Asia, NRVHD and DMVD showed downward trend, but NRCAVD showed upward trend. In Georgia, average annual percent change (AAPC) of age-standardized DALYs rate (ASDR) reached 4.95 (95% CI: 3.29, 6.64) for NRVHD. Compared with 1990, the number of DALYs and deaths in all gender increased in elderly populations but decreased in young populations in 2023. The burden for females was higher than those for males. The epidemiological indicators displayed positive correlation in high-middle SDI, especially influenced by High-income Asia Pacific for NRVHD, NRCAVD and DMVD. In the age effect, the relative risks markedly increased after the age of 75 in global and Asia. By 2050, ASDR and ASMR will continue to rise for NRVHD and their subtypes globally and in Asia, with ASMR of NRVHD in 2050 at 2.64 (95% UI: -0.51, 5.80) globally and 1.54 (95% UI: -1.85, 4.93) in Asia.<b>Conclusion</b>From 1990 to 2023, the burden of NRVHD and their subtypes globally showed upward trend, and the disease burden still concentrated in elder populations. Through in-depth research on these trends, key information is provided for targeted intervention.
DOI: 10.6084/m9.figshare.30196489.v1
title: <b>The data of the </b><b>Non-rheumatic Valvular Heart Disease and their Subtypes globally from the </b><b>Global Burden of Disease 2023</b>

description: <b>Background</b>Non-rheumatic valvular heart disease (NRVHD) is a valvular dysfunction disease, including non-rheumatic degenerative mitral valve disease (DMVD), non-rheumatic calcific aortic valve disease (NRCAVD) and other NRVHD. The mortality of NRVHD and their subtypes continues to rise with the aging of the population. Based on Global Burden of Disease (GBD) 2023 data, we systematically analyzed the burden of NRVHD and their subtypes globally and in Asia from 1990 to 2023, and projected trends by 2050.<b>Methods</b>The mortality and disability-adjusted life years (DALYs) rates were extracted to analyze the disease burden of NRVHD and their subtypes across regions, countries, age groups and genders. Joinpoint regression analysis was used to assess temporal and regional trends. Age-Period-Cohort (APC) model was used to analyze trends in disease burden changes by age and year. The BAPC models were used to forecast disease trends up to 2050.<b>Results</b>In 2023, the deaths cases for NRVHD, NRCAVD, DMVD and other NRVD globally were 191358 (95% UI: 157502, 215074), 149460 (95% UI: 120529, 166659), 39768 (95% UI: 32430, 51510) and 2129 (95% UI: 1314, 3327). In Asia, NRVHD and DMVD showed downward trend, but NRCAVD showed upward trend. In Georgia, average annual percent change (AAPC) of age-standardized DALYs rate (ASDR) reached 4.95 (95% CI: 3.29, 6.64) for NRVHD. Compared with 1990, the number of DALYs and deaths in all gender increased in elderly populations but decreased in young populations in 2023. The burden for females was higher than those for males. The epidemiological indicators displayed positive correlation in high-middle SDI, especially influenced by High-income Asia Pacific for NRVHD, NRCAVD and DMVD. In the age effect, the relative risks markedly increased after the age of 75 in global and Asia. By 2050, ASDR and ASMR will continue to rise for NRVHD and their subtypes globally and in Asia, with ASMR of NRVHD in 2050 at 2.64 (95% UI: -0.51, 5.80) globally and 1.54 (95% UI: -1.85, 4.93) in Asia.<b>Conclusion</b>From 1990 to 2023, the burden of NRVHD and their subtypes globally showed upward trend, and the disease burden still concentrated in elder populations. Through in-depth research on these trends, key information is provided for targeted intervention.
DOI: 10.7807/evph:06-09:v1
title: German Residential Energy Consumption Survey, 2006-2009
title: Energieverbrauch privater Haushalte in Deutschland, 2006-2009

description: Erhebung zum Energieverbrauch privater Haushalte in Deutschland in Zusammenarbeit mit forsa als repräsentative Stichprobe. Ziel dieser Studie ist die Gewinnung aussagekräftiger Informationen über den Energieverbrauch privater Haushalte in Deutschland. Diese Haushalte werden umfassend zu ihrem Verbrauch der jeweils benutzten Energieträger, den Wohnverhältnissen und den Charakteristika des bewohnten Gebäudes befragt. Es liegen Daten für die Jahre 2003, 2005 als Querschnitt und für 2006-2009 als Panel vor.  Dieser Datensatz bezieht sich auf die Paneldaten der Jahre 2006-2009.
description: RWI-GRECS
description: RWI-GRECS
description: Selbst ausgefüllter Fragebogen mithilfe der Set-Top-Boxen am Fernsehgerät sowie computergestützte Telefoninterviews (C.A.T.I.)
description: Deutschsprachige Haushalte in Deutschland, die über ein Fernsehgerät und einen Telefonanschluss verfügen
description: Mehrstufige, geschichtete und teilquotierte Zufallsstichprobe auf Basis des ADM-Mastersamples für Telefonstichproben für Haushalte, die 2005 nicht umgezogen sind.
DOI: 10.7807/evph:2005:v1
title: Energieverbrauch privater Haushalte in Deutschland, 2005
title: German Residential Energy Consumption Survey, 2005

description: Erhebung zum Energieverbrauch privater Haushalte in Deutschland in Zusammenarbeit mit forsa als
 repräsentative Stichprobe. Ziel dieser Studie ist die Gewinnung aussagekräftiger
 Informationen über den Energieverbrauch privater Haushalte in Deutschland. Diese Haushalte
 werden umfassend zu ihrem Verbrauch der jeweils benutzten Energieträger, den
 Wohnverhältnissen und den Charakteristika des bewohnten Gebäudes befragt. In der Befragung
 wurden zudem die Zählerstände erhoben. Diese zeigen den Energieverbrauch des
 Befragungsjahres. Es liegen Daten für die Jahre 2003, 2005 als Querschnitt und für 2006-2008
 und 2008-2011 und 2011-2013 als Panel vor. Diese Daten können anhand einer ID aneinander
 gespielt werden.Dieser Datensatz bezieht sich auf die Daten des Jahres 2005.
description: Randomly sampled survey on the energy consumption of private households in Germany.
 The data have been obtained in cooperation with forsa. The households were asked about the
 energy soures they rely on and their respective consumption, their living conditions, and
 characteristics of their dwelling. In addition, readings from the meters for asked. These
 show the energy consumption of the survey year. Data is available as cross-section data for
 the years 2003 and 2005, and as panels for the years 2006-2008, 2008-2011 and 2011-2013.
 Data can be merged using a household identifier. This dataset refers to the data for the
 year 2005.
description: RWI-GRECS
description: Selbst ausgefüllter Fragebogen: CASI
description: Self-completed questionnaire:CASI
description: Deutschsprachige Haushalte in Deutschland, die über ein Fernsehgerät und einen Telefonanschluss verfügen.
description: German speaking households in Germany who have a television and a telephone connection.
description: Mehrstufige, geschichtete und teilquotierte Zufallsstichprobe auf Basis des ADM-Mastersamples für Telefonstichproben für Haushalte, die 2005 nicht umgezogen sind.
DOI: 10.7807/evph:08-11:v1
title: Energieverbrauch privater Haushalte in Deutschland, 2008-2011
title: German Residential Energy Consumption Survey, 2008-2011

description: Erhebung zum Energieverbrauch privater Haushalte in Deutschland in Zusammenarbeit mit forsa als repräsentative Stichprobe. Ziel dieser Studie ist die Gewinnung aussagekräftiger Informationen über den Energieverbrauch privater Haushalte in Deutschland. Diese Haushalte werden umfassend zu ihrem Verbrauch der jeweils benutzten Energieträger, den Wohnverhältnissen und den Charakteristika des bewohnten Gebäudes befragt. In der Befragung wurden zudem die Zählerstände erhoben. Diese zeigen den Energieverbrauch des Befragungsjahres. Es liegen Daten für die Jahre 2003, 2005 als Querschnitt und für 2006-2008 und 2008-2011 und 2011-2013 als Panel vor. Diese Daten können anhand einer ID aneinander gespielt werden. 
 Dieser Datensatz bezieht sich auf die Paneldaten der Jahre 2008-2011.
description: Randomly sampled survey on the energy consumption of private households in Germany. The data have been obtained in cooperation with forsa. The households were asked about the energy soures they rely on and their respective consumption, their living conditions, and characteristics of their dwelling. In addition, readings from the meters for asked. These show the energy consumption of the survey year. Data is available as cross-section data for the years 2003 and 2005, and as panels for the years 2006-2008, 2008-2011 and 2011-2013. Data can be merged using a household identifier. This dataset refers to the panel data for the years 2008-2011.
description: RWI-GRECS
description: Selbst ausgefüllter Fragebogen: CASI
description: Self-completed questionnaire: CASI
description: Deutschsprachige Haushalte in Deutschland, die über ein Fernsehgerät und einen Telefonanschluss verfügen.
description: German speaking households in Germany who have a television and a telephone connection.
description: Mehrstufige, geschichtete und teilquotierte Zufallsstichprobe auf Basis des ADM-Mastersamples für Telefonstichproben für Haushalte. Erhebungszeitraum: 13. Januar - 9. März 2012.
DOI: 10.7807/evph:06-08:v1
title: Energieverbrauch privater Haushalte in Deutschland, 2006-2008
title: German Residential Energy Consumption Survey, 2006-2008

description: Erhebung zum Energieverbrauch privater Haushalte in Deutschland in Zusammenarbeit
 mit forsa als repräsentative Stichprobe. Ziel dieser Studie ist die Gewinnung
 aussagekräftiger Informationen über den Energieverbrauch privater Haushalte in
 Deutschland. Diese Haushalte werden umfassend zu ihrem Verbrauch der jeweils benutzten
 Energieträger, den Wohnverhältnissen und den Charakteristika des bewohnten Gebäudes
 befragt. In der Befragung wurden zudem die Zählerstände erhoben. Diese zeigen den
 Energieverbrauch des Befragungsjahres. Es liegen Daten für die Jahre 2003, 2005 als
 Querschnitt und für 2006-2008 und 2008-2011 und 2011-2013 als Panel vor. Diese Daten
 können anhand einer ID aneinander gespielt werden.  
 Dieser Datensatz bezieht sich auf die Paneldaten der Jahre 2006-2008.
description: Randomly sampled survey on the energy consumption of private households in
 Germany. The data have been obtained in cooperation with forsa. The  households were asked
 about the energy soures they rely on and their respective consumption, their living
 conditions, and characteristics of their dwelling. In addition, readings from the meters
 for asked. These show the energy consumption of the survey year. Data is available as
 cross-section data for the years 2003 and 2005, and as panels for the years 2006-2008,
 2008-2011 and 2011-2013. Data can be merged using a household identifier.
 This dataset refers to the panel data for the years 2006-2008.
description: RWI-GRECS
description: RWI-GRECS
description: Selbst ausgefüllter Fragebogen: CASI
description: Self-completed questionnaire: CASI
description: Deutschsprachige Haushalte in Deutschland, die über ein Fernsehgerät und einen
 Telefonanschluss verfügen.
description: German speaking households in Germany who have a television and a telephone
 connection.
description: Mehrstufige, geschichtete und teilquotierte Zufallsstichprobe auf Basis des
 ADM-Mastersamples für Telefonstichproben für Haushalte. Erhebungszeitraum der Daten: 18.
 Februar - 15. April 2010
DOI: 10.7807/evph:2003:v1
title: Energieverbrauch privater Haushalte in Deutschland, 2003
title: German Residential Energy Consumption Survey, 2003

description: Erhebung zum Energieverbrauch privater Haushalte in Deutschland in Zusammenarbeit mit forsa als
 repräsentative Stichprobe. Ziel dieser Studie ist die Gewinnung aussagekräftiger
 Informationen über den Energieverbrauch privater Haushalte in Deutschland. Diese Haushalte
 werden umfassend zu ihrem Verbrauch der jeweils benutzten Energieträger, den
 Wohnverhältnissen und den Charakteristika des bewohnten Gebäudes befragt. In der Befragung
 wurden zudem die Zählerstände erhoben. Diese zeigen den Energieverbrauch des
 Befragungsjahres. Es liegen Daten für die Jahre 2003, 2005 als Querschnitt und für 2006-2008
 und 2008-2011 und 2011-2013 als Panel vor. Diese Daten können anhand einer ID aneinander
 gespielt werden.Dieser Datensatz bezieht sich auf die Daten des Jahres 2003.
description: Randomly sampled survey on the energy consumption of private households in Germany.
 The data have been obtained in cooperation with forsa. The households were asked about the
 energy soures they rely on and their respective consumption, their living conditions, and
 characteristics of their dwelling. In addition, readings from the meters for asked. These
 show the energy consumption of the survey year. Data is available as cross-section data for
 the years 2003 and 2005, and as panels for the years 2006-2008, 2008-2011 and 2011-2013.
 Data can be merged using a household identifier. This dataset refers to the data for the
 year 2003.
description: RWI-GRECS
description: RWI-GRECS
description: Selbst ausgefüllter Fragebogen: CASI
description: Self-completed questionnaire: CASI
description: Deutschsprachige Haushalte in Deutschland, die über ein Fernsehgerät und einen Telefonanschluss verfügen.
description: German speaking households in Germany who have a television and a telephone connection.
description: Mehrstufige, geschichtete und teilquotierte Zufallsstichprobe auf Basis des ADM-Mastersamples für Telefonstichproben für Haushalte, die 2003 nicht umgezogen sind.