cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e224501
title: Navigating Conflicting Partisan Elite Cues in a Crisis

description: Our study investigates how elite cues affect the public's attitudes and behavior during a crisis. When a crisis
emerges, communities must work together. This paper explores attitudes and
behavior during the COVID-19 crisis through a survey administered to the US
public in May 2020, when debates were beginning over how to manage the crisis. While
President Donald Trump distanced himself from nationally mandated protections
and downplayed the seriousness of the virus, other politicians such as Ohio
governor Mike DeWine and nonpartisan agencies like the Center for Disease
Control encouraged extensive precautions. 
In this paper, we investigated whether co-partisan elite cues could
change Americans’ willingness to socially distance. The study is important because it can shed light on how communities come together during other crises, such as natural disasters.
description: Americans over the age of 18.
DOI: 10.3886/e224501v1
title: Navigating Conflicting Partisan Elite Cues in a Crisis

description: Our study investigates how elite cues affect the public's attitudes and behavior during a crisis. When a crisis
emerges, communities must work together. This paper explores attitudes and
behavior during the COVID-19 crisis through a survey administered to the US
public in May 2020, when debates were beginning over how to manage the crisis. While
President Donald Trump distanced himself from nationally mandated protections
and downplayed the seriousness of the virus, other politicians such as Ohio
governor Mike DeWine and nonpartisan agencies like the Center for Disease
Control encouraged extensive precautions. 
In this paper, we investigated whether co-partisan elite cues could
change Americans’ willingness to socially distance. The study is important because it can shed light on how communities come together during other crises, such as natural disasters.
description: Americans over the age of 18.
DOI: 10.15468/dl.7bgx6p
title: Occurrence Download

description: A dataset containing 54366 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is one of (Asia, Europe, Africa)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Continent derived from coordinates, Country derived from coordinates)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ciconia ciconia (Linnaeus, 1758)",
 "Year 1901-1990"
 ]
}

 The dataset includes 54366 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003913-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.5vra2vjq
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2559 records)
DOI: 10.15468/dl.amhh8x
title: Occurrence Download

description: A dataset listing the 17 species recorded in GBIF matching the query:
{
 "and" : [
 "Locality is one of (Parque Estadual Serra Dourada, Parque Estadual Serra Dourada, Reserva Biológica S, Parque Estadual Serra Dourada.)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 17 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003922-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d86a3f
title: Occurrence Download

description: A dataset containing 1286 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Panthera onca (Linnaeus, 1758)",
 "Year 1000-2025"
 ]
}

 The dataset includes 1286 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003929-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zdtqsf
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plestiodon quadrilineatus Blyth, 1853"
 ]
}

 The dataset includes 60 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025342-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6v8jwz
title: Occurrence Download

description: A dataset containing 101523 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Populus alba L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 101523 records from 546 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0207866-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wekec6
title: Occurrence Download

description: A dataset containing 84490 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tamarix L."
 ]
}

 The dataset includes 84490 records from 560 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032383-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cfrb7e
title: Occurrence Download

description: A dataset containing 1558 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Base de datos de los pastos marinos mexicanos.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1558 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025342-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qv6dgy
title: Occurrence Download

description: A dataset containing 94566 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Unknown evidence"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Megaptera novaeangliae (Borowski, 1781)"
 ]
}

 The dataset includes 94566 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0209478-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pw3zmd
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sorbus puellarum Meierott"
 ]
}

 The dataset includes 18 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025342-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2gm7hk
title: Occurrence Download

description: A dataset containing 304 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Unknown evidence",
 "BasisOfRecord is Specimen"
 ]
 },
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Phoenicopterus chilensis Molina, 1782"
 ]
}

 The dataset includes 304 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0211790-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2xpa28
title: Occurrence Download

description: A dataset containing 353494 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vicia sativa L."
 ]
}

 The dataset includes 353494 records from 913 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0211793-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h38tp4
title: Occurrence Download

description: A dataset containing 27769 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Melospiza melodia (A.Wilson, 1810)"
 ]
}

 The dataset includes 27769 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0180226-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fuxppd
title: Occurrence Download

description: A dataset containing 48542 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myodes gapperi (Vigors, 1830)"
 ]
}

 The dataset includes 48542 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049583-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qqbpjx
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xyloryctes orientalis Bitar & Morón, 2014"
 ]
}

 The dataset includes 20 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0181901-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fjshkw
title: Occurrence Download

description: A dataset containing 9507281 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9507281 records from 1473 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237476-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4odw4b
title: Occurrence Download

description: A dataset containing 987 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Phyllanthus tenellus Roxb."
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 987 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016459-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k3earu
title: Occurrence Download

description: A dataset containing 880 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "Country is Uruguay"
 ]
 },
 {
 "and" : [
 "Geometry POLYGON((-56.60073235604996 -34.66174287913852,-56.60073235604996 -34.71715850643881,-56.42637888363478 -34.71715850643881,-56.42637888363478 -34.66174287913852,-56.60073235604996 -34.66174287913852))",
 "IucnRedListCategory is one of (CR, EN, VU, NT, LC)"
 ]
 }
 ]
}

 The dataset includes 880 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041693-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/kekrxg
title: Replication Data for: desenvolvimento do professor alfabetizador e apropriação da escrita pela criança: processos de gênese instrumental nas relações de ensino em tempos de (pós) pandemia

description: O projeto de investigação tem como foco a emergência e o uso de recursos e instrumentos técnico-semióticos que medeiam a atividade de ensino de professores alfabetizadores e propõe analisar como os alunos se apropriam dos recursos disponíveis em sala de aula, convertendo-os em instrumentos psicológicos. Assim, problematiza a relevância dos instrumentos técnico-semióticos para o desenvolvimento psicológico e busca compreender os processos de gênese instrumental partilhados entre professores e seus alunos, durante o processo de alfabetização em língua escrita, considerando especialmente o período de (pós)pandêmico. A partir das contribuições da perspectiva histórico-cultural, dos estudos de linguagem e estudos sobre trabalho, o projeto tem como objetivos centrais: (i) analisar como os recursos e instrumentos técnico-semióticos que organizam as relações de ensino/ trabalho do professor podem se converter em instrumentos psicológicos para os alunos; (ii) discutir como, além das funções da escrita articulada às práticas sociais, o domínio da escrita pode implicar transformações profundas e radicais nos sistemas funcionais psíquicos. O processo de construção dos dados empíricos prevê o acompanhamento de professores e alunos nas séries iniciais do Ensino Fundamental de escolas da rede pública de ensino, por meio do acompanhamento dos professores que participam da rede colaborativa de pesquisa e por meio de observação participante, entrevista e análise documental, realizadas de forma remota ou presencial, conforme as condições sanitárias. Com a discussão acerca das práticas de alfabetização em tempos de (pós)pandemia, a proposta pretende contribuir para a discussão de políticas e práticas pautadas na qualidade socialmente referenciada da educação pública. Há restrições para o compartilhamento da totalidade dos dados, dada a necessidade de garantir a privacidade, confidencialidade e não identificação dos sujeitos participantes. Para mais informações, contatar o responsável.
DOI: 10.15468/dl.a7uzfm
title: Occurrence Download

description: A dataset containing 232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mycteroperca microlepis (Goode & Bean, 1879)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 232 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041694-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-4647
title: OncoTUM models

description: &lt;h1&gt;OncoTUM models&lt;/h1&gt;
 &lt;p&gt;
 This repository hosts pretrained neural network models for &lt;a href="https://github.com/masud-src/OncoTUM" target="_blank"&gt;OncoTUM&lt;/a&gt;, 
 a key software package within the umbrella project &lt;strong&gt;Onco*&lt;/strong&gt; for modelling and numerical simulations of tumours. OncoTUM is designed to facilitate tumour segmentations from medical images, leveraging state-of-the-art deep learning techniques. 
 &lt;/p&gt;
 
 &lt;h2&gt;Purpose&lt;/h2&gt;
 &lt;p&gt;
 The pretrained models in this repository are required for using the &lt;strong&gt;inference function&lt;/strong&gt; of OncoTUM. These models have been trained on relevant datasets (&lt;a href="https://www.kaggle.com/datasets/awsaf49/brats20-dataset-training-validation" target="_blank"&gt;BraTS 2020&lt;/a&gt;) to ensure 
 high accuracy and performance in tumor segmentation and its classification.
 &lt;/p&gt;
 
 &lt;h2&gt;Usage&lt;/h2&gt;
 &lt;p&gt;
 To utilise the inference functionality of OncoTUM, download the appropriate pretrained models from this repository and ensure they are correctly linked to the OncoTUM software package. 
 Detailed instructions for setup and integration can be found in the 
 &lt;a href="https://github.com/masud-src/OncoTUM" target="_blank"&gt;OncoTUM documentation&lt;/a&gt;.
 &lt;/p&gt;
 
 &lt;h2&gt;Content&lt;/h2&gt;
&lt;p&gt; In order to remain with most possible flexibility, the modality agnostic implementation allows to perform segmentation with a subset of the gold standard modalities.
&lt;/p&gt;
&lt;p&gt; &lt;strong&gt;Brain tumour segmentation&lt;/strong&gt;&lt;/p&gt;
 &lt;ul&gt;
 &lt;li&gt;&lt;strong&gt;Full modal model:&lt;/strong&gt; trained to all gold standard modalities (t1, t1gd, t2, flair).&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;Single modality model:&lt;/strong&gt; trained to single modalities of the gold standard.&lt;/li&gt;
 &lt;li&gt;&lt;strong&gt;Null image:&lt;/strong&gt; Empty image for training.&lt;/li&gt;
 &lt;/ul&gt;
DOI: 10.6084/m9.figshare.27940419
title: Efficient Importance Variational Approximations for State Space Models

description: Variational methods are a potentially scalable estimation approach for state space models. However, existing methods are inaccurate or computationally infeasible for many state space models. This article proposes a variational approximation that is accurate and fast for any model with a closed-form measurement density function and a state transition distribution within the exponential family of distributions. Our approach constructs a variational approximation to the states that is close to the exact conditional posterior distribution of the states using insights from the efficient importance sampling literature. We show that our method can accurately and quickly estimate a multivariate Skellam stochastic volatility model with high-frequency tick-by-tick discrete price changes of four stocks.
DOI: 10.6084/m9.figshare.27940419.v1
title: Efficient Importance Variational Approximations for State Space Models

description: Variational methods are a potentially scalable estimation approach for state space models. However, existing methods are inaccurate or computationally infeasible for many state space models. This article proposes a variational approximation that is accurate and fast for any model with a closed-form measurement density function and a state transition distribution within the exponential family of distributions. Our approach constructs a variational approximation to the states that is close to the exact conditional posterior distribution of the states using insights from the efficient importance sampling literature. We show that our method can accurately and quickly estimate a multivariate Skellam stochastic volatility model with high-frequency tick-by-tick discrete price changes of four stocks.
DOI: 10.15468/dl.pfa7w7
title: Occurrence Download

description: A dataset containing 1134396 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Meles meles (Linnaeus, 1758), Aquila chrysaetos (Linnaeus, 1758))"
 ]
}

 The dataset includes 1134396 records from 3055 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041678-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16995608
title: Source Data and Code for "Closing Gaps in Emissions Monitoring with Climate TRACE"

description: Source Data: Closing Gaps in Emissions Monitoring with Climate TRACE  

Here, we provide two datasets and the R code that support the findings within the discussion section of our paper titled "Closing Gaps in Emissions Monitoring with Climate TRACE ". The paper assesses the current landscape of global greenhouse gas (GHG) emissions datasets along key dataset characteristics and reveals several limitations. These limitations motivate the development of the Climate TRACE dataset, which we introduce by evaluating it along the dataset characteristics. Both datasets are provided in .csv format and originate from the Climate TRACE dataset. Detailed descriptions of the methodologies used to estimate GHG emissions are available here. 

"city_level_annual_ghg.csv" provides annual greenhouse gas (GHG) emissions totals for 2010-2024 for 500 cities around the world, along with their population and gross domestic product (GDP). The data were used to assess changes in annual emissions over time and whether GDP impacts these trends. See column name descriptions below. 




Column name 
Description
Units


iso3_country
country code
NA


gdp_year
year for which GDP is provided 
NA


gdp_value (billions)
GDP
billions of dollars


population_year
year for which population is provided 
NA


population_value
population
people


db_city_name
city name 
NA


gdp_per_capita
GDP/population
billions of dollars/person


city_id
unique city ID
NA


21_total_emissions
total GHG emissions for 2021
100 yr CO2e


24_total_emissions
total GHG emissions for 2024
100 yr CO2e


24_21_change_total
absolute change in GHG emissions from 2021 to 2024 
100 yr CO2e


rel.percent_change
relative percent change in GHG emissions from 2021 to 2024 
%


GDP_group
GDP category
Natural breaks was used to assign a GDP category (high/low) to each country and year




"ghg_timeseries_by_annex" provides annual emissions totals for Annex-1 (developed) versus non-Annex-1 (developing) countries 2015 to 2024. The data were used to investigate temporal emissions trends and whether UNFCCC status influences them. See column name descriptions below. 




Column name 
Description
Units


Year
Year for which annual emissions total is provided 
NA


Annex1
annual GHG emissions total for all Annex-1 countries 
100 ye CO2e


Non-Annex1
annual GHG emissions total for all Annex-1 countries 
100 ye CO2e
DOI: 10.15468/dl.l4ufo8
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dasyatidae",
 "Country is India"
 ]
}

 The dataset includes 183 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040031-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hun2hc
title: Occurrence Download

description: A dataset containing 527 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pedicularis schizocalyx (Lange) Steininger",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 527 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006808-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7n5ae
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-10.59082 34.49707,20.25879 34.49707,20.25879 41.87988,-10.59082 41.87988,-10.59082 34.49707))",
 "OccurrenceStatus is Present",
 "TaxonKey is Dianthus rupicola Biv."
 ]
}

 The dataset includes 77 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001309-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6qrfn3
title: Occurrence Download

description: A dataset containing 43710 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myotis nattereri (Kuhl, 1817)"
 ]
}

 The dataset includes 43710 records from 478 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0354933-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.