cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bxp5n8
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hong Kong",
 "TaxonKey is Rhynchium quinquecinctum"
 ]
}

 The dataset includes 14 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003966-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2yfxgc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((99.01600000000001 4.016165, 98.945566 4.010595, 98.876868 3.994023, 98.81160199999999 3.966858, 98.75137599999999 3.92977, 98.69767299999999 3.883672, 98.65181699999999 3.829702, 98.614937 3.76919, 98.58793799999999 3.703626, 98.571484 3.634626, 98.565978 3.56389, 98.571552 3.493158, 98.588067 3.424174, 98.61511400000001 3.358634, 98.65202600000001 3.298152, 98.69789299999999 3.244215, 98.75158399999999 3.198151, 98.81178 3.161092, 98.876997 3.133951, 98.945634 3.117395, 99.01600000000001 3.111831, 99.086366 3.117395, 99.15500299999999 3.133951, 99.22022 3.161092, 99.280416 3.198151, 99.334107 3.244215, 99.379974 3.298152, 99.41688600000001 3.358634, 99.443933 3.424174, 99.460448 3.493158, 99.466022 3.56389, 99.460516 3.634626, 99.444062 3.703626, 99.417063 3.76919, 99.380183 3.829702, 99.334327 3.883672, 99.280624 3.92977, 99.220398 3.966858, 99.15513199999999 3.994023, 99.086434 4.010595, 99.01600000000001 4.016165))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003967-260120142942310/datasets/export for details.
DOI: 10.15468/dl.t9scm4
title: Occurrence Download

description: A dataset containing 618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Eudyptes moseleyi"
 ]
}

 The dataset includes 618 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003968-260120142942310/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.26304858
title: Positioning gender in time-travel: time-travel TV dramas as dialogic resources for constructing and re-imagining identity among Mainland Chinese postgraduates in Hong Kong

description: Time-travel television dramas have recently gained tremendous popularity worldwide. Defying stereotypes of romance TV dramas as women’s genres, time-travel romance TV drama genres seem to have attracted young men and women of different walks of life. Informed by positioning theory and Bakhtin’s heteroglossic dialogism, this study investigates a group of bilingual Mainland Chinese, heterosexual postgraduate students’ consumption of a Chinese time-travel TV drama, <i>Scarlet Heart</i>. It is found that well-educated Mainland Chinese women and men are still confronted with dilemmas of gender role boundaries and pressure to subscribe to traditional gender values. However, the time-travel TV drama has enabled the interviewees to negotiate new gender relations when they assign different positions to the female protagonist and themselves in the discussion. It is therefore proposed that time-travel TV dramas can be appropriated as dialogic resources for ideological becoming and critical literacy activities for facilitating construction of alternative subject positions and identities.
DOI: 10.6084/m9.figshare.26304858.v1
title: Positioning gender in time-travel: time-travel TV dramas as dialogic resources for constructing and re-imagining identity among Mainland Chinese postgraduates in Hong Kong

description: Time-travel television dramas have recently gained tremendous popularity worldwide. Defying stereotypes of romance TV dramas as women’s genres, time-travel romance TV drama genres seem to have attracted young men and women of different walks of life. Informed by positioning theory and Bakhtin’s heteroglossic dialogism, this study investigates a group of bilingual Mainland Chinese, heterosexual postgraduate students’ consumption of a Chinese time-travel TV drama, <i>Scarlet Heart</i>. It is found that well-educated Mainland Chinese women and men are still confronted with dilemmas of gender role boundaries and pressure to subscribe to traditional gender values. However, the time-travel TV drama has enabled the interviewees to negotiate new gender relations when they assign different positions to the female protagonist and themselves in the discussion. It is therefore proposed that time-travel TV dramas can be appropriated as dialogic resources for ideological becoming and critical literacy activities for facilitating construction of alternative subject positions and identities.
DOI: 10.6084/m9.figshare.27324684
title: Anti-feminist branding: a case study of #JusticeForJohnnyDepp on Instagram

description: Scholars have examined misogynistic and anti-feminist media. Since misogyny manifests in platform-specific ways, we add to this scholarship by discussing Instagram. Using the Depp-Heard trial on Instagram as a case study, we ask: How do misogyny and anti-feminism manifest through the specific branding culture and affordances of Instagram in the context of #JusticeForJohnnyDepp? What can this case study tell scholars about misogynistic and anti-feminist strategies more broadly? We outline five themes that characterized anti-feminist discourse on Instagram. Beyond Instagram, this work contributes by demonstrating how branding, which is often discussed as gendered labor that puts women at disproportionate risk, is also used by anti-feminist and misogynistic collectives. However, anti-feminists are rarely subject to those same risks.
DOI: 10.6084/m9.figshare.27324684.v1
title: Anti-feminist branding: a case study of #JusticeForJohnnyDepp on Instagram

description: Scholars have examined misogynistic and anti-feminist media. Since misogyny manifests in platform-specific ways, we add to this scholarship by discussing Instagram. Using the Depp-Heard trial on Instagram as a case study, we ask: How do misogyny and anti-feminism manifest through the specific branding culture and affordances of Instagram in the context of #JusticeForJohnnyDepp? What can this case study tell scholars about misogynistic and anti-feminist strategies more broadly? We outline five themes that characterized anti-feminist discourse on Instagram. Beyond Instagram, this work contributes by demonstrating how branding, which is often discussed as gendered labor that puts women at disproportionate risk, is also used by anti-feminist and misogynistic collectives. However, anti-feminists are rarely subject to those same risks.
DOI: 10.15468/dl.s6n4mr
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fimbristylis dichotoma",
 "Year 1970-2000"
 ]
}

 The dataset includes 111 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003969-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3szk26
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.735484 24.197671, 88.65849900000001 24.192094, 88.58343000000001 24.175502, 88.512142 24.148307, 88.446404 24.111186, 88.387844 24.06506, 88.337906 24.011074, 88.29781800000001 23.950566, 88.268556 23.885034, 88.250827 23.816098, 88.245051 23.745458, 88.25135 23.674856, 88.26955 23.606028, 88.29918499999999 23.540665, 88.33951399999999 23.48037, 88.389534 23.426621, 88.44801200000001 23.380731, 88.513509 23.343823, 88.584424 23.316797, 88.65902199999999 23.300314, 88.735484 23.294774, 88.81194600000001 23.300314, 88.886544 23.316797, 88.957459 23.343823, 89.02295599999999 23.380731, 89.081434 23.426621, 89.13145400000001 23.48037, 89.171783 23.540665, 89.201418 23.606028, 89.219618 23.674856, 89.225917 23.745458, 89.220141 23.816098, 89.202412 23.885034, 89.17315000000001 23.950566, 89.133062 24.011074, 89.083124 24.06506, 89.024564 24.111186, 88.958826 24.148307, 88.88753800000001 24.175502, 88.81246899999999 24.192094, 88.735484 24.197671))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003970-260120142942310/datasets/export for details.
DOI: 10.15468/dl.2uv3vx
title: Occurrence Download

description: A dataset containing 4506 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Eudyptes pachyrhynchus"
 ]
}

 The dataset includes 4506 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003971-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.97p9qk
title: Occurrence Download

description: A dataset containing 902 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Eudyptes robustus"
 ]
}

 The dataset includes 902 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003972-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qb8f4a
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Melanoplus spretus"
 ]
}

 The dataset includes 137 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003973-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yne537
title: Occurrence Download

description: A dataset listing the 437 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 {
 "or" : [
 "InstitutionKey is not null",
 "CollectionKey is not null"
 ]
 },
 "BasisOfRecord is one of (Specimen, Fossil, Material sample, Living Specimen, Material citation)"
 ]
 },
 {
 "and" : [
 "BasisOfRecord is one of (Specimen, Fossil, Material sample, Living Specimen, Material citation)",
 "TaxonKey is one of (Miconia [GBIF Backbone Taxonomy])",
 "InstitutionKey is one of (bd096872-1315-4d9a-87e9-152e4af6eee9)"
 ]
 }
 ]
}

 The dataset's 437 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003960-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w3p2n3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((98.94799999999999 4.020165, 98.877565 4.014595, 98.808868 3.998023, 98.743601 3.970858, 98.683374 3.93377, 98.629672 3.887672, 98.583816 3.833702, 98.546935 3.77319, 98.519936 3.707626, 98.50348200000001 3.638626, 98.49797599999999 3.567889, 98.50355 3.497158, 98.520065 3.428174, 98.547113 3.362634, 98.584025 3.302152, 98.629892 3.248215, 98.683583 3.202151, 98.743779 3.165093, 98.80899700000001 3.137951, 98.877633 3.121395, 98.94799999999999 3.115831, 99.018367 3.121395, 99.087003 3.137951, 99.152221 3.165093, 99.212417 3.202151, 99.266108 3.248215, 99.311975 3.302152, 99.348887 3.362634, 99.375935 3.428174, 99.39245 3.497158, 99.39802400000001 3.567889, 99.392518 3.638626, 99.376064 3.707626, 99.349065 3.77319, 99.312184 3.833702, 99.266328 3.887672, 99.212626 3.93377, 99.152399 3.970858, 99.087132 3.998023, 99.018435 4.014595, 98.94799999999999 4.020165))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003974-260120142942310/datasets/export for details.
DOI: 10.6084/m9.figshare.31120276
title: Seasonal CO<sub>2</sub> and CH<sub>4</sub> fluxes from the Beijing–Hangzhou Grand Canal and its tributaries in China

description: The data file compiles seasonal CO<sub>2</sub> and CH<sub>4</sub> fluxes from the Beijing–Hangzhou Grand Canal and its tributaries in China, together with the corresponding sampling site coordinates, sampling dates, and environmental parameters.
DOI: 10.6084/m9.figshare.31120276.v1
title: Seasonal CO<sub>2</sub> and CH<sub>4</sub> fluxes from the Beijing–Hangzhou Grand Canal and its tributaries in China

description: The data file compiles seasonal CO<sub>2</sub> and CH<sub>4</sub> fluxes from the Beijing–Hangzhou Grand Canal and its tributaries in China, together with the corresponding sampling site coordinates, sampling dates, and environmental parameters.
DOI: 10.34740/kaggle/dsv/14575877
title: Ethereum Price Data Binance API (2017–Now)
DOI: 10.15468/dl.879863
title: Occurrence Download

description: A dataset containing 2803 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eragrostis minor",
 "Year 2000-2026"
 ]
}

 The dataset includes 2803 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003975-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uc3292
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.735484 24.197671, 88.65849900000001 24.192094, 88.58343000000001 24.175502, 88.512142 24.148307, 88.446404 24.111186, 88.387844 24.06506, 88.337906 24.011074, 88.29781800000001 23.950566, 88.268556 23.885034, 88.250827 23.816098, 88.245051 23.745458, 88.25135 23.674856, 88.26955 23.606028, 88.29918499999999 23.540665, 88.33951399999999 23.48037, 88.389534 23.426621, 88.44801200000001 23.380731, 88.513509 23.343823, 88.584424 23.316797, 88.65902199999999 23.300314, 88.735484 23.294774, 88.81194600000001 23.300314, 88.886544 23.316797, 88.957459 23.343823, 89.02295599999999 23.380731, 89.081434 23.426621, 89.13145400000001 23.48037, 89.171783 23.540665, 89.201418 23.606028, 89.219618 23.674856, 89.225917 23.745458, 89.220141 23.816098, 89.202412 23.885034, 89.17315000000001 23.950566, 89.133062 24.011074, 89.083124 24.06506, 89.024564 24.111186, 88.958826 24.148307, 88.88753800000001 24.175502, 88.81246899999999 24.192094, 88.735484 24.197671))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003976-260120142942310/datasets/export for details.
DOI: 10.15468/dl.sxcv2k
title: Occurrence Download

description: A dataset containing 74540 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hylotelephium telephium",
 "Year 1000-2022"
 ]
}

 The dataset includes 74540 records from 783 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003933-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e231506
title: Replication data for: Job Search Behavior over the Business Cycle

description: We create a novel measure of job search effort exploiting the American Time Use and Current Population Surveys. We examine the cyclicality of search effort using time-series, cross-state, and individual variation and find that it is countercyclical. We then set up a search and matching model with endogenous search effort and show that search effort does not amplify labor market fluctuations but rather dampens them. Lastly, we examine the role of search effort in driving recent unemployment dynamics and show that the unemployment rate would have been 0.5 to 1 percentage points higher in the 2008–2014 period had search effort not increased.
DOI: 10.3886/e231506v1
title: Replication data for: Job Search Behavior over the Business Cycle

description: We create a novel measure of job search effort exploiting the American Time Use and Current Population Surveys. We examine the cyclicality of search effort using time-series, cross-state, and individual variation and find that it is countercyclical. We then set up a search and matching model with endogenous search effort and show that search effort does not amplify labor market fluctuations but rather dampens them. Lastly, we examine the role of search effort in driving recent unemployment dynamics and show that the unemployment rate would have been 0.5 to 1 percentage points higher in the 2008–2014 period had search effort not increased.
DOI: 10.15468/dl.rsw8q6
title: Occurrence Download

description: A dataset containing 588 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-153.2854 67.84272,-157.53052 65.95219,-152.49394 58.74605,-141.41347 60.02827,-141.05371 67.86983,-153.2854 67.84272))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rubus chamaemorus L."
 ]
}

 The dataset includes 588 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007131-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15472/pyraay
title: Herbario del Museo de Historia Natural C.J. Marinkelle

description: El Herbario del Museo de Historia Natural C.J. Marinkelle fue fundado en el año 2006. La colección (ANDES-H) nace con el objetivo de tener un espacio en el que los investigadores asociados a la botánica puedan depositar, almacenar y conservar las muestras provenientes de los estudios realizados en la Universidad de los Andes. Algunos de los proyectos que enriquecen la colección son: “Guía de frutos de la Macarena” desarrollado por el Laboratorio de Ecología de Bosques Tropicales y Primatología, “Flora ilustrada del Páramo de Chingaza” asociado al Laboratorio de Botánica y Sistemática. “Plantas Acuáticas de la Orinoquía Colombiana”, "Sistemática de Begonia" y las “Expediciones en biodiversidad alrededor del Cacao en el marco del proyecto Colombia Bio”, solo por nombrar algunas. Adicionalmente, el Herbario es alimentado constantemente por muestras provenientes de salidas académicas realizadas en los cursos de “Botánica y Sistemática” y “Colecciones Biológicas”. La variedad de sus registros ha convertido al Herbario ANDES en un referente de la diversidad de la Flora colombiana.Actualmente, este recurso cuenta con 8510 registros colectados entre 1939 y 2018, provenientes de distintos países como Colombia, Perú, Brasil, entre otros. Dentro de la colección se pueden encontrar 8247 ejemplares correspondientes a los filos Magnoliophyta, Pteridophyta, Equisetopsida, Bryophyta, Gnetophyta, Lycopodiophyta, Marchantiophyta, Cycadophyta y Anthocerotophyta. Mientras que 263 todavía se encuentran en proceso de estudio para su determinación taxonómica.
DOI: 10.7910/dvn/zqvigd
title: Son_preference_Data

description: Son_preference dataset.
DOI: 10.5281/zenodo.17703217
title: Dataset - Podcast

description: Histórico geral de desempenho do podcast (disponível em: Arquivo: OFichamento-Umolhardaquiloquelirelievoltareiumdiaalerdenovo._NoSpotify_históricogeral.csv), considerando:

Variáveis principais:

§  Reproduções (plays);

§  Streams;

§  Tempo de consumo (em horas);

§  Seguidores;

§  Série temporal diária (01/10/2024 a 24/11/2025, 420 dias).

 

Localização geográfica da audiência (disponível em Arquivo: OFichamento-UmOlharDaquiloQueLiReliEVoltareiUmDiaALerDeNovo._LocalizacaoGeografica_históricogeral.csv), considerando:

Variáveis: 

§  país e porcentagem de streamings.

 

Reproduções por aplicativo (disponível em: Arquivo: ReproducoesPorApp_históricogeral.csv), considerando:

Variáveis: 

§  app e porcentagem de streamings (Spotify, navegador web, Spotify for Creators).

 

Reproduções por dispositivo (disponível em: Arquivo: ReproducoesPorDispositivo_históricogeral.csv), considerando: 

Variáveis: 

§  tipo de dispositivo e 

§  porcentagem de streamings (Android, iPhone, Web, Mac, Windows, outros).

 

Classificação de episódios (disponível em: Arquivo: OFichamento-UmOlharDaquiloQueLiReliEVoltareiUmDiaALerDeNovo._ClassificacoesDeEpisodios_históricogeral.csv), considerando:

Variáveis:

§  Título do episódio;

§  ID do episódio;

§  Streams e downloads por episódio;

§  Data/hora de publicação;

§  Campo “Classificação” (ordem de listagem na série);

§  URI do episódio.