cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/6ngsz3dtbd.1
title: Assembled C. jejuni genomes for the publication: Machine learning to attribute the source of Campylobacter infections in the United States: a retrospective analysis of national surveillance data

description: Objectives Combined pathogen genomic surveillance with advanced bioinformatics analyses has the potential to inform public health risk and targeted interventions. In this study, we analyse the two most common pathogenic Campylobacter species in human gastrointestinal infection. These enteric bacteria are ubiquitous in the gut of birds and mammals and commonly infect humans via consumption of contaminated food. Rising incidence and antimicrobial resistance (AMR) are a major global concern and there is an urgent need to quantify the main routes to human infection. 

Methods As part of routine US national surveillance (2009 through 2019), 8,856 Campylobacter isolate genomes were sequenced from human infections and 16,703 from possible sources. Targeting genetic variation associated with host adaptation, we used machine learning and probabilistic models to attribute the source of human infections and estimate the relative importance of different disease reservoirs.

Results Poultry was identified as the primary source of human infection, responsible for an estimated 68% of cases. Most of the remaining isolates were attributed to cattle (28%), with only a small contribution from wild bird (3%) and pork sources (1%). There was also evidence of an increase in multidrug resistance, particularly fluoroquinolone and aminoglycoside resistance among isolates attributed to chickens. 

Conclusions National-scale surveillance and quantification of the relative contribution of infection sources can guide policy. Our study suggests that the greatest reductions in human campylobacteriosis in the US will come from interventions that focus on poultry, which may also reduce the spread of AMR.
DOI: 10.15468/dl.cg7ce3
title: Occurrence Download

description: A dataset containing 1049 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adenostemma brasilianum (Pers.) Cass."
 ]
}

 The dataset includes 1049 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105402-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.587rct
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Month is January",
 "TaxonKey is Hermetia illucens (Linnaeus, 1758)"
 ]
}

 The dataset includes 154 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105403-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.89mtde
title: Occurrence Download

description: A dataset containing 908 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Megascops seductus (R.T.Moore, 1941)"
 ]
}

 The dataset includes 908 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105404-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/00678
title: Chandra X-ray Observatory ObsId 00678

description: AXAF OBSERVATIONS OF THE RAPID BURSTER IN OUTBURST
DOI: 10.15468/dl.xutzdy
title: Occurrence Download

description: A dataset listing the 533 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "GadmGid is MEX.22_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "StateProvince is Queretaro",
 "TaxonKey is Aves"
 ]
}

 The dataset's 533 records were derived from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105359-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f5ujaf
title: Occurrence Download

description: A dataset containing 616 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pennisetum clandestinum Hochst. ex Chiov.",
 "Year 1970-2000"
 ]
}

 The dataset includes 616 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105406-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uqaegt
title: Occurrence Download

description: A dataset containing 21134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dugong dugon (Müller, 1776)"
 ]
}

 The dataset includes 21134 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105405-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.grvfr5
title: Occurrence Download

description: A dataset containing 2466 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-83 -14,-32 -14,-32 13,-83 13,-83 -14))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Potamotrygon Garman, 1877"
 ]
}

 The dataset includes 2466 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105412-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gxswjvxyh3.1
title: Assembled C. coli genomes for the publication: Machine learning to attribute the source of Campylobacter infections in the United States: a retrospective analysis of national surveillance data

description: Objectives Combined pathogen genomic surveillance with advanced bioinformatics analyses has the potential to inform public health risk and targeted interventions. In this study, we analyse the two most common pathogenic Campylobacter species in human gastrointestinal infection. These enteric bacteria are ubiquitous in the gut of birds and mammals and commonly infect humans via consumption of contaminated food. Rising incidence and antimicrobial resistance (AMR) are a major global concern and there is an urgent need to quantify the main routes to human infection. 

Methods As part of routine US national surveillance (2009 through 2019), 8,856 Campylobacter isolate genomes were sequenced from human infections and 16,703 from possible sources. Targeting genetic variation associated with host adaptation, we used machine learning and probabilistic models to attribute the source of human infections and estimate the relative importance of different disease reservoirs.

Results Poultry was identified as the primary source of human infection, responsible for an estimated 68% of cases. Most of the remaining isolates were attributed to cattle (28%), with only a small contribution from wild bird (3%) and pork sources (1%). There was also evidence of an increase in multidrug resistance, particularly fluoroquinolone and aminoglycoside resistance among isolates attributed to chickens. 

Conclusions National-scale surveillance and quantification of the relative contribution of infection sources can guide policy. Our study suggests that the greatest reductions in human campylobacteriosis in the US will come from interventions that focus on poultry, which may also reduce the spread of AMR.
DOI: 10.15468/dl.2anb63
title: Occurrence Download

description: A dataset containing 844 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphipterygium adstringens (Schltdl.) Schiede ex Standl."
 ]
}

 The dataset includes 844 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105411-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/c9j39tpsms.1
title: ARTIGO

description: Uma Nova Realidade Educacional: Metodologias Ativas Potencializadas pela IA Generativa

Thiago Maciel Ferreira 
https://doi.org/10.29327/7421021

RESUMO
O artigo explora a integração da inteligência artificial generativa com metodologias ativas na educação moderna, destacando como essa combinação pode transformar práticas pedagógicas e promover uma aprendizagem mais personalizada e eficaz. O estudo investiga a aplicação de ferramentas como o ChatGPT, que potencializam a personalização do ensino, fornecendo feedback imediato e ajustando o conteúdo às necessidades individuais dos alunos. A pesquisa é estruturada em três capítulos: o primeiro aborda estratégias práticas para a aplicação dessas metodologias com IA, o segundo avalia sua eficácia na aprendizagem e o terceiro apresenta exemplos práticos de integração. A adaptação do ensino por meio da IA foi um elemento central para o desenvolvimento de um ambiente de aprendizagem mais eficiente e alinhado às necessidades específicas de cada aluno. Os resultados apontam para um aumento significativo no engajamento, compreensão e retenção de conteúdo pelos alunos, embora ressaltem a necessidade de uma implementação cuidadosa e ética para evitar desafios como superficialidade no aprendizado e questões de privacidade de dados. Conclui-se que a integração de IA generativa com metodologias ativas pode transformar significativamente o ambiente educacional, mas deve ser realizada de forma equilibrada e responsável, complementando as práticas pedagógicas tradicionais e assegurando a formação integral dos alunos.

Palavras-chaves: Inteligência Artificial Generativa, Metodologias ativas, Personalização do Ensino, Aprendizagem Eficaz, Integração Pedagógica.
DOI: 10.17632/k5y3ffzn3b.1
title: Design & Automation of a Small-Scale Towing Tank for Flow Visualization

description: Although the towing tank is a standard piece of equipment used to investigate fluid phenomena, it primarily exists as custom-built hardware that takes up a significant footprint. The size, cost, and custom-built nature have heretofore inhibited the production of this equipment in the authors’ context, an African university. This paper presents a small-scale (1000mm x 200mm x 200mm), low-cost (&lt;$1,000) towing tank made using readily available components and basic digital fabrication tools. Other universities on the continent and beyond can hence create this foundational platform for fluid mechanics-related teaching and research. Leveraging an Arduino microcontroller loaded with the GRBL firmware, G-code is sent from the computer to stepper motors to execute movements in two axes. This allows for automation capabilities, controlled towing speeds, and consistent experimental conditions. Validation tests revealed motion accuracy within 1%. A glitter-based flow visualization approach to measuring surface phenomena is demonstrated here. Experiments conducted successfully visualized relevant flow characteristics generated by bluff bodies being towed in the tank. As the Reynolds number increased within the operating range, wider wakes and larger, more distinct vortices were generated, as expected. This platform can be replicated widely in institutions that may otherwise forego experimentation in fluid mechanics.

The solidworks version used to model the parts is 2023. The files necessary to aid in its build are provided below:
DOI: 10.17632/tykbtsz7c6.1
title: Sustainable Development_KOFGI

description: This Data includes many variables of sustainable development of countries from 2000-2020.
All variables are collected from public Data sources (Worldbank, KOF index).
This dataset is used for our paper: THE IMPACT OF GLOBALIZATION, RENEWABLE ENERGY, AND LABOR ON SUSTAINABLE DEVELOPMENT: A CROSS-COUNTRY ANALYSIS
DOI: 10.17632/tykbtsz7c6.2
title: Sustainable Development_KOFGI

description: This Data includes many variables of sustainable development of countries from 2000-2020.
All variables are collected from public Data sources (Worldbank, KOF index).
This dataset is used for our paper: THE IMPACT OF GLOBALIZATION, RENEWABLE ENERGY, AND LABOR ON SUSTAINABLE DEVELOPMENT: A CROSS-COUNTRY ANALYSIS
DOI: 10.17632/6rwdz7rxw7.1
title: dataset for a novel in-situ dynamic mechanical detection machine for human plantar soft tissue

description: dataset for a novel in-situ dynamic mechanical detection machine for human plantar soft tissue
DOI: 10.17632/6rwdz7rxw7.2
title: A Dynamic Mechanical Analysis Device for in-situ Material Characterization of Plantar Soft Tissue

description: dataset for a dynamic mechanical analysis device for in-situ material characterization of plantar soft tissue
DOI: 10.15468/dl.svyh43
title: Occurrence Download

description: A dataset containing 14858 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is KUBI Mammalogy Collection",
 "TaxonKey is Peromyscus Gloger, 1841"
 ]
}

 The dataset includes 14858 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105413-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4c3gbn7yt4.1
title: ENGAGING FASHION BRAND FOLLOWERS ON SOCIAL MEDIA PLATFORMS

description: Raw Data: TITLE: ENGAGING FASHION BRAND FOLLOWERS ON SOCIAL MEDIA PLATFORMS - A STUDY OF FASHION BRANDS SOCIAL MEDIA CONTENT ON MULTIPLE PLATFORMS
DOI: 10.17632/6gmn9cp26r.1
title: HJY_2024GRL_Data

description: The mooring data analyzed in 'Observed Energy Transfers Catalyzed by Inertial-Diurnal Internal Wave Interactions near the Critical Latitude'
DOI: 10.17632/n7s8gzyvsb.1
title: DPPH Radical Scavenging Activity of Rutin and Microalgal Extracts at Various Concentrations

description: This study aimed to determine the antioxidant activities of various microalgae species isolated from Giresun rivers and to compare them with rutin. Our hypothesis was that the green microalgae species isolated from Giresun rivers would exhibit high antioxidant capacities and would show significant differences in antioxidant activity when compared to rutin. We anticipated that rutin would demonstrate higher DPPH radical scavenging activity compared to the tested microalgae species, indicating a stronger antioxidant capacity. Additionally, we expected to observe significant differences in antioxidant activities among the microalgae species.

Statistical analyses revealed significant differences in DPPH inhibition percentages among the microalgae species (p &lt; 0.001). This indicates that the antioxidant activities of different microalgae species show distinct differences. Concentration levels also had a statistically significant effect on DPPH inhibition (p &lt; 0.001), demonstrating that varying concentrations impact antioxidant activity. Tukey HSD test results showed that rutin exhibited significantly higher DPPH radical scavenging activity compared to Chlorella vulgaris and Chlorococcum hypnosporum (p &lt; 0.001). This finding suggests that rutin is more effective than these microalgae species.
Significant differences were found between Chlorolilaea pamvotia and Chlorococcum hypnosporum (p &lt; 0.01), indicating that their antioxidant activity levels are not similar. On the other hand, differences between Chlorella vulgaris and Desmodesmus opoliensis were not statistically significant (p &gt; 0.05), suggesting that while variations in antioxidant activity exist, they may not be as pronounced as those observed between microalgae and rutin.

The data were collected using the DPPH radical scavenging test, a common method for measuring antioxidant activity. This test assessed how effectively different microalgae species and rutin could neutralize DPPH radicals. Concentration levels were varied to evaluate their impact on antioxidant activity.

The findings highlight that rutin exhibits superior antioxidant activity compared to other microalgae species and that there are notable differences in antioxidant activities among the microalgae species themselves. These results emphasize rutin's strong antioxidant properties and provide insights into the potential uses and effectiveness of different microalgae species in antioxidant research.
DOI: 10.17632/c6j74tvt7n.1
title: Recognition of Cell Death-Related Therapy Targets in Non-Alcoholic Steatohepatitis with Machine Learning Algorithms

description: NASH GEO cohorts
DOI: 10.17632/fpg4kdb92f.1
title: DiagLumina Supplementary material

description: Supplementary material of DiagLumina framework for under review.
DOI: 10.17632/fpg4kdb92f.2
title: DiagLumina Supplementary material

description: Supplementary material of DiagLumina framework for under review.
DOI: 10.17632/fpg4kdb92f.3
title: DiagLumina Supplementary material

description: Supplementary material of DiagLumina framework for under review.
DOI: 10.17632/5932zhysmj.1
title: Data: Identifying environmentally sustainable foreign direct investment spillovers effects: How can FDI promote sectoral green productivity in Taiwan?

description: Data Set
DOI: 10.17632/mm8dtj383j.1
title: Visceral adipose tissue-derived extracellular vesicles from obese mice promote stress susceptibility via miR-140-5p

description: Key Resources Table
DOI: 10.17632/7nh8fgr9vy.1
title: Integration of Machine Learning and Mendelian Randomization to Identify Key Cell Death Genes Promoting Ulcerative Colitis Progression

description: Raw data and codes
DOI: 10.17632/629wv9zm8p.1
title: Data from the experimental project 'Love or politics? Political views regarding the war in Ukraine in an online dating experiment' by Anna Beloborodova

description: This dataset contains data from the experiment and python code for the project titled “Love or politics? Political views regarding the war in Ukraine in an online dating experiment”. Paper abstract: How polarized is Russian society regarding the war in Ukraine? Political views have an impact on various behaviors, including relationship formation. In this paper I study the extent of polarization in the Russian society regrading the war in Ukraine by conducting a field experiment on a large Russian dating site and collecting data on more than 3,000 profile evaluations. The findings reveal sizable penalties for those who express pro-war or anti-war positions on their dating profiles, suggesting considerable levels of polarization in the Russian society regarding the war. Age of the online dating site users is the most divisive factor, as younger individuals are less likely to approach pro-war profiles but not anti-war profiles, while older individuals are less likely to respond positively to profiles indicating anti-war views but not pro-war views. The experiment was conducted in October - November, 2022, on a large online dating site in Russia in three Russian regions: Moscow, Saint Petersburg, and Sverdlovskaya oblast. There are three separate data files, one for each region. Each file contains information on male dating site users that have been liked by and/or have viewed the experimental female profiles. The description is available at https://mpra.ub.uni-muenchen.de/118862/ . The folder also contains python code for data analysis.
DOI: 10.17632/629wv9zm8p.2
title: Data from the experimental project 'Love or politics? Political views regarding the war in Ukraine in an online dating experiment' by Anna Beloborodova

description: This dataset contains data from the experiment and python code for the project titled “Love or politics? Political views regarding the war in Ukraine in an online dating experiment”.

Paper abstract:
How polarized is Russian society regarding the war in Ukraine? Political views affect various behaviors, including relationship formation. This study conducts a field experiment on a large Russian dating site and gathers data from over 3,000 profile evaluations. The findings reveal significant penalties for those who express pro-war or anti-war positions on their dating profiles. Age emerges as the most polarizing factor: younger individuals are less likely to approach pro-war profiles but not anti-war ones, whereas older individuals are less likely to respond positively to profiles indicating anti-war views but not pro-war ones. The results align with survey evidence of a positive relationship between respondents' age and expressed support for the war in Russia, although the experiment indicates a higher degree of polarization. Overall, the experimental findings demonstrate that survey data can reveal trends and relationships between individuals' characteristics and their opinions, but may overstate the levels of support for government agendas in non-democratic states.

The experiment was conducted in October - November, 2022, on a large online dating site in Russia in three Russian regions: Moscow, Saint Petersburg, and Sverdlovskaya oblast. There are three separate data files, one for each region. Each file contains information on dating site users that have been liked by and/or have viewed the experimental profiles. 

The data have been updated and can be found in the DataAndPython-FSravl.zip file. Here are the changes that have been made:
1) One user's ID typo has been corrected.
2) File ExperimentDataMainLikedUsers.csv contains data on the main sample of liked users. The hair color of these users was recorded from profile photos whenever possible. Weights have also been added to enable analysis with adjustment for differences in age distribution between dating site users and a subset of the Russian population that shares similar observable characteristics.

The folder also contains python code for data analysis.

The description of the study is available at https://mpra.ub.uni-muenchen.de/118862/ .