cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.meyask
title: Occurrence Download

description: A dataset containing 294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ceratophrys stolzmanni",
 "Year 2015-2025"
 ]
}

 The dataset includes 294 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029859-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.chaabm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficopomatus enigmaticus",
 "Country is Bulgaria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029860-250811113504898/datasets/export for details.
DOI: 10.15468/dl.je5hmq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caspiobdella fadejewi",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029864-250811113504898/datasets/export for details.
DOI: 10.15468/dl.8rqs9a
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caspiobdella fadejewi",
 "Country is Germany",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029862-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zg5sy6
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caspiobdella fadejewi",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 100 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029863-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16916308
title: Neutral mutation disequilibrium is common in prokaryotes and animals

description: Companion dataset and results from analyses performed in a manuscript with the same title.
DOI: 10.5281/zenodo.16916309
title: Neutral mutation disequilibrium is common in prokaryotes and animals

description: Companion dataset and results from analyses performed in a manuscript with the same title.
DOI: 10.15468/dl.hgu8yr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficopomatus enigmaticus",
 "Country is Croatia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029865-250811113504898/datasets/export for details.
DOI: 10.15468/dl.mfdz67
title: Occurrence Download

description: A dataset containing 21191946 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cathartidae"
 ]
}

 The dataset includes 21191946 records from 994 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029816-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wdmxy6
title: Occurrence Download

description: A dataset containing 575597 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Buteo lagopus (Pontoppidan, 1763)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 575597 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029441-250426092105405/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.29061462
title: AI Literacy and Digital Wellbeing: The Multiple Mediating Roles of Positive Attitudes Towards AI and Satisfying Basic Psychological Needs

description: AI literacy gains critical importance. However, the mechanism of the relationship between AI literacy and digital wellbeing remains unclear. This study aimed to explore how AI literacy supports digital wellbeing and the roles of a positive attitude towards AI and the use of AI for satisfying basic psychological needs within this relationship. The sample consisted of 401 participants, aged 18–61 years. Structural equation modelling was employed to analyse the mediating roles of positive attitude towards AI and the use of AI for satisfying basic psychological needs. The results indicated that AI literacy is positively associated with digital wellbeing. Additionally, the mediating roles of positive attitude towards AI and the use of AI for satisfying basic psychological needs in the relationship between AI literacy and digital wellbeing were identified. These findings contribute to understanding the relationship between AI literacy and digital wellbeing and the mediating mechanisms underlying these associations.
DOI: 10.15468/dl.64xs5d
title: Occurrence Download

description: A dataset containing 7195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-79.46841470881022 -3.574792694020399, -79.46816275832835 -3.574747053299061, -79.45381848297879 -3.569400287465378, -79.45343046678356 -3.569050410923568, -79.44785384814513 -3.56095667533987, -79.44770558888453 -3.560705079184121, -79.44684183382871 -3.558680975680618, -79.4579634531614 -3.533617082961297, -79.48752882745828 -3.544669810471594, -79.48887622259313 -3.54578703253136, -79.49372807477177 -3.551067533784415, -79.49390463036778 -3.552258444593143, -79.49340117054649 -3.554781937076481, -79.49234948526502 -3.557125189346367, -79.47998382535825 -3.573047987785058, -79.47952255881508 -3.573269280510277, -79.47824671991287 -3.573778043031268, -79.46932390609877 -3.574730910378482, -79.4687477575846 -3.574784208103216, -79.46841470881022 -3.574792694020399))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 7195 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029462-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.at9mzx
title: Occurrence Download

description: A dataset containing 55301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Cuphea P.Browne"
 ]
}

 The dataset includes 55301 records from 674 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029449-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b2h8ga
title: Occurrence Download

description: A dataset containing 133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Fossil, Living Specimen, Occurrence evidence)",
 "Country is one of (Afghanistan, Pakistan, India, Nepal, China)",
 "Geometry POLYGON((43.23346 60.51182,43.23346 39.23371,49.24749 21.81458,81.6307 20.52041,91.34566 34.42287,89.49519 45.70796,69.60265 56.91177,43.23346 60.51182))",
 "HasGeospatialIssue is false",
 "TaxonKey is Pinus wallichiana A.B.Jacks.",
 "Year 1950-2025"
 ]
}

 The dataset includes 133 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029463-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15400522
title: Raw Data of the article titled " MnO₂-Decorated Graphene Oxide Nanosheet Composites as Promising Electrode Materials for Lithium-Ion Battery Energy Storage Applications"

description: This dataset contains raw experimental data supporting the article titled ’MnO₂-Decorated Graphene Oxide Nanosheet Composites as Promising Electrode Materials for Lithium-Ion Battery Energy Storage Applications'. It includes material characterization results (SEM, TEM, XRD, Raman, and XPS) and data for testing lithium-ion battery applications. All files are provided in CSV and image formats for reproducibility.
DOI: 10.5281/zenodo.15400523
title: Raw Data of the article titled " MnO₂-Decorated Graphene Oxide Nanosheet Composites as Promising Electrode Materials for Lithium-Ion Battery Energy Storage Applications"

description: This dataset contains raw experimental data supporting the article titled ’MnO₂-Decorated Graphene Oxide Nanosheet Composites as Promising Electrode Materials for Lithium-Ion Battery Energy Storage Applications'. It includes material characterization results (SEM, TEM, XRD, Raman, and XPS) and data for testing lithium-ion battery applications. All files are provided in CSV and image formats for reproducibility.
DOI: 10.15468/dl.r2pprr
title: Occurrence Download

description: A dataset containing 10022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-99.63028 17.00649,-91.21182 17.00649,-91.21182 20.37562,-99.63028 20.37562,-99.63028 17.00649))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ramphastos sulfuratus R.Lesson, 1830"
 ]
}

 The dataset includes 10022 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029464-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k6jcnx
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((121.45165 8.85944,124.89279 8.85944,124.89279 12.05382,121.45165 12.05382,121.45165 8.85944))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (May, April, June)",
 "TaxonKey is Hippocampus histrix Kaup, 1856"
 ]
}

 The dataset includes 44 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029465-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfzsnn
title: Occurrence Download

description: A dataset containing 364 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-79.46841470881022 -3.574792694020399, -79.46816275832835 -3.574747053299061, -79.45381848297879 -3.569400287465378, -79.45343046678356 -3.569050410923568, -79.44785384814513 -3.56095667533987, -79.44770558888453 -3.560705079184121, -79.44684183382871 -3.558680975680618, -79.4579634531614 -3.533617082961297, -79.48752882745828 -3.544669810471594, -79.48887622259313 -3.54578703253136, -79.49372807477177 -3.551067533784415, -79.49390463036778 -3.552258444593143, -79.49340117054649 -3.554781937076481, -79.49234948526502 -3.557125189346367, -79.47998382535825 -3.573047987785058, -79.47952255881508 -3.573269280510277, -79.47824671991287 -3.573778043031268, -79.46932390609877 -3.574730910378482, -79.4687477575846 -3.574784208103216, -79.46841470881022 -3.574792694020399))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 364 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029466-250426092105405/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.28410180.v1
title: Parameterizing the LISREL Model as a Correlation Structure Model for More Efficient Parameter Estimates and More Powerful Statistical Tests

description: Most methods for structural equation modeling (SEM) focused on the analysis of covariance matrices. However, “Historically, interesting psychological theories have been phrased in terms of correlation coefficients.” This might be because data in social and behavioral sciences typically do not have predefined metrics. While proper methods for conducting correlation structure analysis have been developed, they emphasized on either how to get consistent standard errors of parameter estimates or how to ensure that the model-implied matrix remains to be a correlation matrix. Motivated by the fundamental needs for more efficient/accurate parameter estimates and greater power in conducting statistical tests, this article explores advantages of correlation structure analysis over its conventional covariance counterpart. Issues related to reparameterization and placement of parameters are discussed. A new concept is introduced for comparing efficiency/accuracy of parameter estimates that are not on the same scale. Via the analysis of many real datasets, meta results show that correlation structure analysis yields uniformly more accurate parameter estimates and more powerful statistical tests than its covariance-structure-analysis counterpart on parameters that are of substantive interests. The same pattern of results between the two model parameterizations is also found by Monte Carlo simulation. Issues related to correlation structure analysis and substantive elaboration of models that are not scale-invariant are discussed as well. The results are expected to promote technical and software developments of correlation structure analysis as well as its adoption in data analysis.
DOI: 10.6084/m9.figshare.28410180
title: Parameterizing the LISREL Model as a Correlation Structure Model for More Efficient Parameter Estimates and More Powerful Statistical Tests

description: Most methods for structural equation modeling (SEM) focused on the analysis of covariance matrices. However, “Historically, interesting psychological theories have been phrased in terms of correlation coefficients.” This might be because data in social and behavioral sciences typically do not have predefined metrics. While proper methods for conducting correlation structure analysis have been developed, they emphasized on either how to get consistent standard errors of parameter estimates or how to ensure that the model-implied matrix remains to be a correlation matrix. Motivated by the fundamental needs for more efficient/accurate parameter estimates and greater power in conducting statistical tests, this article explores advantages of correlation structure analysis over its conventional covariance counterpart. Issues related to reparameterization and placement of parameters are discussed. A new concept is introduced for comparing efficiency/accuracy of parameter estimates that are not on the same scale. Via the analysis of many real datasets, meta results show that correlation structure analysis yields uniformly more accurate parameter estimates and more powerful statistical tests than its covariance-structure-analysis counterpart on parameters that are of substantive interests. The same pattern of results between the two model parameterizations is also found by Monte Carlo simulation. Issues related to correlation structure analysis and substantive elaboration of models that are not scale-invariant are discussed as well. The results are expected to promote technical and software developments of correlation structure analysis as well as its adoption in data analysis.
DOI: 10.6084/m9.figshare.27632964
title: The Impact of Non-Normality on Causal Effect Estimates in Structural Equation Models with Ordered Categorical Variables

description: Multilevel structural equation models (SEM) are widely used for estimating causal effects in social and behavioral sciences. However, the impact of non-normality on these estimates, particularly with ordered categorical variables, remains unclear. This study investigates how non-normality affects causal effect estimation in path and multigroup SEMs with ordered categorical variables. Using the Vine-to-Anything approach, we simulated multivariate distributions by independently varying marginals and copulas. We compared maximum likelihood (ML), robust ML, and diagonally weighted least squares (DWLS) estimators across various non-normal conditions in three simulation studies. Results show that bias in effect estimates critically depends on the combination of copulas and marginal distributions in treatment and control groups. DWLS generally outperformed ML, especially for average treatment effects and interaction effects. However, all methods were sensitive to distributional misspecifications. These findings highlight the importance of considering distributional assumptions when using ordered categorical data in causal inference studies.
DOI: 10.6084/m9.figshare.27632964.v1
title: The Impact of Non-Normality on Causal Effect Estimates in Structural Equation Models with Ordered Categorical Variables

description: Multilevel structural equation models (SEM) are widely used for estimating causal effects in social and behavioral sciences. However, the impact of non-normality on these estimates, particularly with ordered categorical variables, remains unclear. This study investigates how non-normality affects causal effect estimation in path and multigroup SEMs with ordered categorical variables. Using the Vine-to-Anything approach, we simulated multivariate distributions by independently varying marginals and copulas. We compared maximum likelihood (ML), robust ML, and diagonally weighted least squares (DWLS) estimators across various non-normal conditions in three simulation studies. Results show that bias in effect estimates critically depends on the combination of copulas and marginal distributions in treatment and control groups. DWLS generally outperformed ML, especially for average treatment effects and interaction effects. However, all methods were sensitive to distributional misspecifications. These findings highlight the importance of considering distributional assumptions when using ordered categorical data in causal inference studies.
DOI: 10.6084/m9.figshare.28207765
title: Detrending for Intensive Longitudinal Dyadic Data Analysis Using DSEM

description: Possible time trends are a common violation of the stationarity assumption, which is crucial in intensive longitudinal data analysis. Here we focus on the detrending issue in intensive longitudinal dyadic data analysis using Dynamic Structural Equation Modeling (DSEM). We first adjusted Savord et al. (2023) DSEM extension of the Actor-Partner Interdependence Model to better capture the interdependence between dyad members. Based on the adjusted model, using a simulation study, we investigated the influence of ignoring trends and compared two detrending practices—using residual DSEM (RDSEM) to separate time effects from the within-level autoregression or adding time covariate in autoregressive equations. Recommendations about whether and how to detrend are discussed.
DOI: 10.6084/m9.figshare.28207765.v1
title: Detrending for Intensive Longitudinal Dyadic Data Analysis Using DSEM

description: Possible time trends are a common violation of the stationarity assumption, which is crucial in intensive longitudinal data analysis. Here we focus on the detrending issue in intensive longitudinal dyadic data analysis using Dynamic Structural Equation Modeling (DSEM). We first adjusted Savord et al. (2023) DSEM extension of the Actor-Partner Interdependence Model to better capture the interdependence between dyad members. Based on the adjusted model, using a simulation study, we investigated the influence of ignoring trends and compared two detrending practices—using residual DSEM (RDSEM) to separate time effects from the within-level autoregression or adding time covariate in autoregressive equations. Recommendations about whether and how to detrend are discussed.
DOI: 10.15468/dl.dsn7xk
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is ×Cupressocyparis Dallim."
 ]
}

 The dataset includes 15 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029467-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b6ds5y
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Metroxylon sagu Rottb."
 ]
}

 The dataset includes 66 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029468-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14970356
title: Aerodynamic roughness of rippled beds under active saltation at Earth-to-Mars atmospheric pressures

description: This repository includes data and code associated with the paper titled "Aerodynamic Roughness of Rippled Beds Under Active Saltation at Earth-to-Mars Atmospheric Pressures ."
DOI: 10.5281/zenodo.14970357
title: Aerodynamic roughness of rippled beds under active saltation at Earth-to-Mars atmospheric pressures

description: This repository includes data and code associated with the paper titled "Aerodynamic Roughness of Rippled Beds Under Active Saltation at Earth-to-Mars Atmospheric Pressures ."
DOI: 10.15468/dl.wh4ff5
title: Occurrence Download

description: A dataset containing 20647330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (Chinese Taipei, China)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 20647330 records from 204 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029446-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qmnm4c
title: Occurrence Download

description: A dataset containing 312 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spatholobus suberectus Dunn"
 ]
}

 The dataset includes 312 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029470-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.