cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29596902
title: Mapping e-cigarette communication and dissemination on social media: an integrated infodemiology framework

description: Drawing upon the infodemiology and issue-attention cycle frameworks, we examined communication and information diffusion of electronic cigarettes (e-cigarettes) on social media. We analyzed 83,527 Facebook posts and 14,985 Instagram posts using machine learning algorithms and manual content analysis to identify how topics, sentiments, and Key Opinion Leaders (KOLs) evolve throughout various stages of the issue-attention. Regression models were employed to investigate the influence of topics and emotions on information dissemination across platforms. We identified six key topics: (a) Advertisement, promotion and marketing; (b) Policy and regulation; (c) Community building and interactions; (d) Types of flavors; (e) Popular science discourse; and (f) Health concerns. Positive sentiments toward e-cigarettes were prevalent on both platforms, with trust emerging as the foremost emotion. However, sentiment patterns diverged over time, with Facebook showing increasing positivity while Instagram experienced a decline. Significant disparities were observed between Facebook and Instagram in topic distribution, diffusion patterns, and influential figures. Policy and regulation-related content showed the highest diffusion potential on both platforms. Media entities dominated as KOLs on Facebook, while e-cigarette brands and community accounts had a stronger presence on Instagram. The diversity of KOLs increased during peak public interest stages, with media gaining more control over key topics. Our findings reveal the dynamic nature of e-cigarette discourse, highlighting how narratives evolve in response to platform characteristics and public attention shifts. This study contributes to understanding the complex interplay between content, platforms, and KOLs, offering valuable insights for public health officials and tobacco regulatory bodies.
DOI: 10.6084/m9.figshare.29596902.v1
title: Mapping e-cigarette communication and dissemination on social media: an integrated infodemiology framework

description: Drawing upon the infodemiology and issue-attention cycle frameworks, we examined communication and information diffusion of electronic cigarettes (e-cigarettes) on social media. We analyzed 83,527 Facebook posts and 14,985 Instagram posts using machine learning algorithms and manual content analysis to identify how topics, sentiments, and Key Opinion Leaders (KOLs) evolve throughout various stages of the issue-attention. Regression models were employed to investigate the influence of topics and emotions on information dissemination across platforms. We identified six key topics: (a) Advertisement, promotion and marketing; (b) Policy and regulation; (c) Community building and interactions; (d) Types of flavors; (e) Popular science discourse; and (f) Health concerns. Positive sentiments toward e-cigarettes were prevalent on both platforms, with trust emerging as the foremost emotion. However, sentiment patterns diverged over time, with Facebook showing increasing positivity while Instagram experienced a decline. Significant disparities were observed between Facebook and Instagram in topic distribution, diffusion patterns, and influential figures. Policy and regulation-related content showed the highest diffusion potential on both platforms. Media entities dominated as KOLs on Facebook, while e-cigarette brands and community accounts had a stronger presence on Instagram. The diversity of KOLs increased during peak public interest stages, with media gaining more control over key topics. Our findings reveal the dynamic nature of e-cigarette discourse, highlighting how narratives evolve in response to platform characteristics and public attention shifts. This study contributes to understanding the complex interplay between content, platforms, and KOLs, offering valuable insights for public health officials and tobacco regulatory bodies.
DOI: 10.6084/m9.figshare.29606015
title: Build-a-face: homogeneity, racialisation and Eurocentric beautification in Instagram AR face filters

description: Instagram filters are widely recognised for embodying unrealistic beauty standards, with scholars quick to isolate the way filters smooth skin, enlarge eyes and shrink the nose. Yet, the specificities of how Instagram filters alter the face remain largely unquantified. To address this lacuna, this paper ‘walks through’ the process of manually applying 225 beautifying Instagram filters, documenting instances of facial feature alteration, eye colour changes and the use of interactive ‘sliders’. In doing so, I identify what I term a ‘digital beauty template’ – a hegemonic, replicable stylisation of beauty found in Instagram filters between 2021 and 2024. Departing from extant scholarship on beautifying filters, this paper shows that the ‘doe-eyed’ ideal of early filters has been replaced by the racialised ‘fox eye’ shape. Eye colour lightening was also commonplace, further reinforcing limited and Eurocentric beauty ideals. Interactive sliders also afford a unidirectional ‘autonomy’ over the size of facial features (primarily the lips), bolstering suggestions that filters may serve as an effective ‘try on’ tool for cosmetic surgery and ‘injectables’. This paper represents a significant contribution to filter scholarship by quantifying facial feature beautification over a large sample of Instagram filters. The analysis of this data reveals a digital beauty template that is highly unattainable to all users – certain ‘ethnic’ features are selectively appropriated whilst others are erased, producing a filtered appearance that is ambiguously ‘exotic’ but ultimately, underscored by its proximity to whiteness.
DOI: 10.6084/m9.figshare.29606015.v1
title: Build-a-face: homogeneity, racialisation and Eurocentric beautification in Instagram AR face filters

description: Instagram filters are widely recognised for embodying unrealistic beauty standards, with scholars quick to isolate the way filters smooth skin, enlarge eyes and shrink the nose. Yet, the specificities of how Instagram filters alter the face remain largely unquantified. To address this lacuna, this paper ‘walks through’ the process of manually applying 225 beautifying Instagram filters, documenting instances of facial feature alteration, eye colour changes and the use of interactive ‘sliders’. In doing so, I identify what I term a ‘digital beauty template’ – a hegemonic, replicable stylisation of beauty found in Instagram filters between 2021 and 2024. Departing from extant scholarship on beautifying filters, this paper shows that the ‘doe-eyed’ ideal of early filters has been replaced by the racialised ‘fox eye’ shape. Eye colour lightening was also commonplace, further reinforcing limited and Eurocentric beauty ideals. Interactive sliders also afford a unidirectional ‘autonomy’ over the size of facial features (primarily the lips), bolstering suggestions that filters may serve as an effective ‘try on’ tool for cosmetic surgery and ‘injectables’. This paper represents a significant contribution to filter scholarship by quantifying facial feature beautification over a large sample of Instagram filters. The analysis of this data reveals a digital beauty template that is highly unattainable to all users – certain ‘ethnic’ features are selectively appropriated whilst others are erased, producing a filtered appearance that is ambiguously ‘exotic’ but ultimately, underscored by its proximity to whiteness.
DOI: 10.6084/m9.figshare.29621094
title: The role of media use in the development of discursive citizenship norms among U.S. Latinx

description: Aiming to expand current research on the mechanisms and conditions under which novel citizenship norms emerge among different populations, we investigate the antecedents of discursive citizenship norms among Latinx individuals in the United States. Results from a two-wave survey suggest that cross-platform news media repertoires are positively associated with individual information care norms and considered contribution norms. Social media political discussion mediates these relationships. Exposure to negative news covering Latinx communities moderated the association between media repertoires and individual information care norms. Contributions and implications for discursive citizenship norms research are discussed.
DOI: 10.6084/m9.figshare.29621094.v1
title: The role of media use in the development of discursive citizenship norms among U.S. Latinx

description: Aiming to expand current research on the mechanisms and conditions under which novel citizenship norms emerge among different populations, we investigate the antecedents of discursive citizenship norms among Latinx individuals in the United States. Results from a two-wave survey suggest that cross-platform news media repertoires are positively associated with individual information care norms and considered contribution norms. Social media political discussion mediates these relationships. Exposure to negative news covering Latinx communities moderated the association between media repertoires and individual information care norms. Contributions and implications for discursive citizenship norms research are discussed.
DOI: 10.60893/figshare.apr.31325791
title: Supplemental material

description: Including Suplemental Figures, Tables, and Notes
DOI: 10.60893/figshare.apr.31325791.v1
title: Supplemental material

description: Including Suplemental Figures, Tables, and Notes
DOI: 10.5281/zenodo.18199332
title: Output data related to the article 'Greenland Monthly Accumulation Maps (1960-2022): A Statistical Semi-Empirical Bias-Adjustment Model' in The Cryosphere

description: Output data related to: 

Lindsey-Clark, J. Y., Grinsted, A., Vandecrux, B., and Schøtt Hvidberg, C.: Greenland Monthly Accumulation Maps (1960–2022): A Statistical Semi-Empirical Bias-Adjustment Model, The Cryosphere. 

Bias-adjusted accumulation and bias fields 

The files below contain monthly bias-adjusted accumulation and bias fields derived from fitting SUMup data to each of the corresponding fitting periods: 




File name 
Fitting periods 
Bias-adjusted accumulation field names 
Bias field names 


HIRHAM5_adjusted_5.5km_1960_2022.nc




1960-2022

1980-2022

1991-2022 






acc_adj_60

acc_adj_80

acc_adj_91






bias_60

bias_80

bias_91




MARv3.14_adjusted_5km_1960_2022.nc




1960-2022

1980-2022

1991-2022 






acc_adj_60

acc_adj_80

acc_adj_91






bias_60

bias_80

bias_91




RACMO2.4p1_adjusted_11km_1980_2022.nc




1980-2022

1991-2022 






acc_adj_80

acc_adj_91






bias_80

bias_91




CARRA_adjusted_2.5km_1991_2022.nc




1991-2022 






acc_adj_91






bias_91






All variables are provided on native model grids. x,y variables contain cartesian coordinates which can be used to plot each model on the same coordinate system. 

Example script for plotting fields: 'bias_adjusted_fields_load.ipynb' 

Files provided to run the bias-adjustment model

The following files can be used to run the bias-adjustment model, available at Github



MARv3.14_decomposition_5km_1960_2022.nc – MAR EOF decomposition fields 

SUMup_1960_2022_filtered.parquet – SUMup prefiltered observational data 


Data usage notice: 

Please cite the original publication when using these data: 

Citation  

Lindsey-Clark, J. Y., Grinsted, A., Vandecrux, B., and Schøtt Hvidberg, C.: Greenland Monthly Accumulation Maps (1960–2022): A Statistical Semi-Empirical Bias-Adjustment Model, The Cryosphere.
DOI: 10.5281/zenodo.18199331
title: Output data related to the article 'Greenland Monthly Accumulation Maps (1960-2022): A Statistical Semi-Empirical Bias-Adjustment Model' in The Cryosphere

description: Output data related to: 

Lindsey-Clark, J. Y., Grinsted, A., Vandecrux, B., and Schøtt Hvidberg, C.: Greenland Monthly Accumulation Maps (1960–2022): A Statistical Semi-Empirical Bias-Adjustment Model, The Cryosphere. 

Bias-adjusted accumulation and bias fields 

The files below contain monthly bias-adjusted accumulation and bias fields derived from fitting SUMup data to each of the corresponding fitting periods: 




File name 
Fitting periods 
Bias-adjusted accumulation field names 
Bias field names 


HIRHAM5_adjusted_5.5km_1960_2022.nc




1960-2022

1980-2022

1991-2022 






acc_adj_60

acc_adj_80

acc_adj_91






bias_60

bias_80

bias_91




MARv3.14_adjusted_5km_1960_2022.nc




1960-2022

1980-2022

1991-2022 






acc_adj_60

acc_adj_80

acc_adj_91






bias_60

bias_80

bias_91




RACMO2.4p1_adjusted_11km_1980_2022.nc




1980-2022

1991-2022 






acc_adj_80

acc_adj_91






bias_80

bias_91




CARRA_adjusted_2.5km_1991_2022.nc




1991-2022 






acc_adj_91






bias_91






All variables are provided on native model grids. x,y variables contain cartesian coordinates which can be used to plot each model on the same coordinate system. 

Example script for plotting fields: 'bias_adjusted_fields_load.ipynb' 

Files provided to run the bias-adjustment model

The following files can be used to run the bias-adjustment model, available at Github



MARv3.14_decomposition_5km_1960_2022.nc – MAR EOF decomposition fields 

SUMup_1960_2022_filtered.parquet – SUMup prefiltered observational data 


Data usage notice: 

Please cite the original publication when using these data: 

Citation  

Lindsey-Clark, J. Y., Grinsted, A., Vandecrux, B., and Schøtt Hvidberg, C.: Greenland Monthly Accumulation Maps (1960–2022): A Statistical Semi-Empirical Bias-Adjustment Model, The Cryosphere.
DOI: 10.15470/89uh0e
title: ICATMAR bottom trawl survey data in the NW Mediterranean (commercial and bycatch species)

description: This dataset contains standardized abundance (individuals/km?) and biomass (kg/km?) data for marine demersal species collected through commercial bottom trawl surveys conducted by ICATMAR (Institut Catal? de Recerca per a la Governan?a del Mar) along the Catalan coast as part of the fisheries monitoring program.
DOI: 10.13140/rg.2.2.34007.33448
title: asaskevich/govalidator
DOI: 10.5880/fidgeo.2025.026
title: Soil chemical, physical and hydrological characteristics in two agroforestry systems in Malawi

description: The described dataset was the result of a field effort consisting of several campaigns to assess the influence of carbon increase as a result of agroforestry treatments on soil hydrological characteristics and water fluxes at two sites in Malawi. At the sites, two experimental trials have been established which differ in age and soil characteristics, while climatic conditions are roughly comparable. At both sites we focused on control plots of maize and agroforestry treatments including Gliricidia sepium (Jacq.) Walp. as the tree component. The dataset contains soil characteristics such as texture, porosity, carbon and nitrogen concentrations, carbon density fractions, dispersible clay proportions, soil hydraulic conductivity and water retention curves. To assess the differences in water fluxes between treatments and sites, we installed soil moisture and matric potential sensors and a small weather station at the sites and monitored the fluxes over the course of about three months. The resulting time series are also part of the dataset, as well as some measurements of maize heights. The file structure of the dataset as well as details on the sites, sampling procedures, measurements and methodology are included in the data description.
DOI: 10.15468/dl.8hkdjt
title: Occurrence Download

description: A dataset containing 6548 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Natator depressus"
 ]
}

 The dataset includes 6548 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002097-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9zrnta
title: Occurrence Download

description: A dataset containing 0 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)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Congochromis dimidiatus"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002098-260226173443078/datasets/export for details.
DOI: 10.15468/dl.t5cjd3
title: Occurrence Download

description: A dataset containing 3968 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , , , , , , , Sporobolus alterniflorus, , , , , , , , , , , , , , Trachynotia alterniflora, Spartina laevigata, , , , , , , , , , , , , Spartina alterniflora, , , , Spartina alternifolia, , , , , , , , Spartina bahiensis, , , , , , , , , , , , , , , , , , , , , Limnetis glabra, , Spartina laevigata, , , , , , Rottboellia paniculata, Limnetis glabra, Spartina brasiliensis, Spartina glabra, Spartina glabra, , , , , , , Dactylis maritima, Dactylis fasciculata, Spartina fasciculata, , Spartina glabra, Rottboellia paniculata, , Trachynotia alternifolia, , , , , , , Spartina dissitiflora, Spartina merrillii, , Trachynotia alterniflora, Dactylis fasciculata, , , , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3968 records from 224 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002100-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e877et
title: Occurrence Download

description: A dataset containing 10621730 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonId is not null",
 "GbifId is not null",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2023-03-02",
 "EventDate is less than or equal to 2024-03-01",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 10621730 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002072-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xsz4n7
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trichocereus pachanoi"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002102-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zajfuc
title: Occurrence Download

description: A dataset listing the 59924 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 2000-2026"
 ]
}

 The dataset's 59924 records were derived from 7836 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002073-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/dzc-bwj-bbg
title: †Hippurites Lamarck, 1801

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fz1-jxb-djl
title: Distichites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8ew-gxv-c4p
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/302-703-sll
title: Polyplectus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zv5-1w7-pz8
title: †Arcestes czoernigi von Mojsisovics, 1875

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bvf-llx-lmv
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k10-4p7-mgm
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mhy-qy3-z1t
title: †Nummulites Lamarck, 1801

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.rdjt4d
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "StateProvince is one of (Mato Grosso Do Sul, Mato Gorsso do Sul, Mato Gosso do Sul, Mato Grasso do Sul, Mato Groso do Sul, Mato Gross Do Sul, Mato Gross de Sul, Mato Gross do Sul, Mato Grossa do Sul, Mato Grosso Do Sul State, Mato Grosso Sul, Mato Grosso de Sul, Mato Grosso del Sur, Mato Grosso do SUl, Mato Grosso do Sol, Mato Grosso do Su, Mato Grosso do Sul (?), Mato Grosso do Sul (MS), Mato Grosso do Sul State, Mato Grosso do Sul state, Mato Grosso do Sul&nf;Mato Grosso, Mato Grosso do Sul., Mato Grosso do Sull, Mato Grosso do Sul/State of Mato Grosso do Sul, Mato Grosso do Sur, MS.)",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 115 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020622-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/atv-xb5-rtm
title: Encope L. Agassiz, 1840

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kle-ccl-rbg
title: †Arcestes czoernigi von Mojsisovics, 1875

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.32485e
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020623-250811113504898/datasets/export for details.
DOI: 10.3535/5er-82f-6vt
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tvt-lvz-er0
title: †Athyris M'Coy, 1844

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6ca-xdb-nxt
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5yn-nys-msy
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.