cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17669283
title: Arqueoastronomía: El vínculo entre las civilizaciones antiguas y los fenómenos celestiales

description: Este trabajo presenta una visión integral de cómo distintas civilizaciones antiguas integraron los fenómenos celestes en su arquitectura, sus prácticas rituales, su organización social y su comprensión del orden del mundo. La arqueoastronomía se muestra aquí como una disciplina capaz de revelar la profunda relación entre el cielo y la vida cultural, combinando arqueología, astronomía, antropología y análisis simbólico.

El estudio reúne casos emblemáticos como Stonehenge, las Pirámides de Giza, Chichén Itzá, Machu Picchu, Nabta Playa, Altamira, Abu Simbel y el Zodíaco de Dendera, demostrando que estas construcciones presentan alineaciones precisas con solsticios, equinoccios, estrellas y ciclos lunares. Cada sitio muestra una intención clara de vincular el espacio terrestre con el orden celeste, ya sea para organizar calendarios agrícolas, establecer centros rituales, reforzar el poder político-religioso o expresar una cosmovisión donde lo divino y lo terrenal formaban un sistema unificado.

El texto también aborda los retos metodológicos propios de la arqueoastronomía: el efecto de selección, la interpretación de alineaciones, la reconstrucción del cielo antiguo, la pérdida del contexto cultural y los límites estadísticos. Estas consideraciones permiten distinguir entre alineaciones deliberadas y coincidencias, aportando rigor al análisis.

Por último, el trabajo subraya la relevancia contemporánea de esta disciplina: su papel en la conservación del patrimonio, su valor para comprender cómo las sociedades antiguas ordenaban su tiempo y su territorio, y su capacidad para recordarnos la importancia de los ritmos naturales en un mundo cada vez más desconectado del cielo.

Este estudio invita a reconsiderar cómo, a lo largo de milenios, la humanidad ha vinculado cielo, tierra y sentido, dejando testimonio de una relación que sigue despertando interés científico, cultural y espiritual.
DOI: 10.5281/zenodo.17669282
title: Arqueoastronomía: El vínculo entre las civilizaciones antiguas y los fenómenos celestiales

description: Este trabajo presenta una visión integral de cómo distintas civilizaciones antiguas integraron los fenómenos celestes en su arquitectura, sus prácticas rituales, su organización social y su comprensión del orden del mundo. La arqueoastronomía se muestra aquí como una disciplina capaz de revelar la profunda relación entre el cielo y la vida cultural, combinando arqueología, astronomía, antropología y análisis simbólico.

El estudio reúne casos emblemáticos como Stonehenge, las Pirámides de Giza, Chichén Itzá, Machu Picchu, Nabta Playa, Altamira, Abu Simbel y el Zodíaco de Dendera, demostrando que estas construcciones presentan alineaciones precisas con solsticios, equinoccios, estrellas y ciclos lunares. Cada sitio muestra una intención clara de vincular el espacio terrestre con el orden celeste, ya sea para organizar calendarios agrícolas, establecer centros rituales, reforzar el poder político-religioso o expresar una cosmovisión donde lo divino y lo terrenal formaban un sistema unificado.

El texto también aborda los retos metodológicos propios de la arqueoastronomía: el efecto de selección, la interpretación de alineaciones, la reconstrucción del cielo antiguo, la pérdida del contexto cultural y los límites estadísticos. Estas consideraciones permiten distinguir entre alineaciones deliberadas y coincidencias, aportando rigor al análisis.

Por último, el trabajo subraya la relevancia contemporánea de esta disciplina: su papel en la conservación del patrimonio, su valor para comprender cómo las sociedades antiguas ordenaban su tiempo y su territorio, y su capacidad para recordarnos la importancia de los ritmos naturales en un mundo cada vez más desconectado del cielo.

Este estudio invita a reconsiderar cómo, a lo largo de milenios, la humanidad ha vinculado cielo, tierra y sentido, dejando testimonio de una relación que sigue despertando interés científico, cultural y espiritual.
DOI: 10.15468/dl.sqxjrq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Dacrydium cupressinum Sol. ex G.Forst",
 "Country is New Zealand",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001915-251120083545085/datasets/export for details.
DOI: 10.15468/dl.89weef
title: Occurrence Download

description: A dataset containing 813 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phaeomoniella",
 "HasCoordinate is true"
 ]
}

 The dataset includes 813 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001917-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uqkk3g
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "GadmGid is ITA.20_1",
 "TaxonKey is Tetrao urogallus"
 ]
}

 The dataset includes 64 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001916-251120083545085/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.30674684
title: <b>Enhanced Regulation of Carbon Emissions and DOM Transport by Cascade Reservoirs in the Upper Yellow River</b>

description: Under the influence of global climate change and human activities, the carbon emission characteristics and driving mechanisms of inland waters, especially river reservoir systems, have attracted widespread attention in recent years. However, studies on the biogeochemical processes, transport mechanisms, and emission dynamics of carbon emissions from inland waters in the Qinghai–Tibet Plateau—the region most sensitive to global climate change remain scarce. The focus of this study is typical cascade reservoirs in the upper Yellow River. During spring thawing periods, surface water samples were collected from Longyangxia(LYX), Lijiaxia(LJX), and Liujiaxia(UJX) reservoirs along with stratified water from reservoir areas and natural rivers upstream/downstream. The greenhouse gas(GHG) emission characteristics of the upper Yellow River cascade reservoir–river system under the interaction between human activities and natural processes were clarified. This study comparatively analyzed the carbon source components and their origins in the upper Yellow River, including natural river sections, cascade reservoirs, individual reservoirs, different reservoir zones, and varying depths. It also investigated their correlation with GHG emission characteristics. Overall, the diffusion flux of CO2(FCO2) and CH4(FCH4) at the water–air interface in each reservoir area exceeded those in natural channels. FCO2 showed a decreasing trend along the flow direction, whereas FCH4 exhibited the opposite pattern. The FCH4 in the study area was significantly lower than that of CO2. The vertical distribution of dissolved organic matter (DOM) is depth-dependent: the shallow waters of reservoirs with shallow water depths (≤40 m) had high DOM and humic acid content, humification levels and hydrophobic organic components, whereas the deep waters of reservoirs with deeper water depths (≥70 m) had high DOM and humic acid content, humification levels and hydrophobic organic components. The carbon emissions of the LYX reservoir are mainly endogenous and more affected by climate change, whereas the carbon emissions of UJX are the result of the combined effects of endogenous and exogenous sources and are more affected by human activities. The construction of cascade reservoir systems has intensified the control over aquatic carbon emissions and DOM transport.
DOI: 10.6084/m9.figshare.30674684.v1
title: <b>Enhanced Regulation of Carbon Emissions and DOM Transport by Cascade Reservoirs in the Upper Yellow River</b>

description: Under the influence of global climate change and human activities, the carbon emission characteristics and driving mechanisms of inland waters, especially river reservoir systems, have attracted widespread attention in recent years. However, studies on the biogeochemical processes, transport mechanisms, and emission dynamics of carbon emissions from inland waters in the Qinghai–Tibet Plateau—the region most sensitive to global climate change remain scarce. The focus of this study is typical cascade reservoirs in the upper Yellow River. During spring thawing periods, surface water samples were collected from Longyangxia(LYX), Lijiaxia(LJX), and Liujiaxia(UJX) reservoirs along with stratified water from reservoir areas and natural rivers upstream/downstream. The greenhouse gas(GHG) emission characteristics of the upper Yellow River cascade reservoir–river system under the interaction between human activities and natural processes were clarified. This study comparatively analyzed the carbon source components and their origins in the upper Yellow River, including natural river sections, cascade reservoirs, individual reservoirs, different reservoir zones, and varying depths. It also investigated their correlation with GHG emission characteristics. Overall, the diffusion flux of CO2(FCO2) and CH4(FCH4) at the water–air interface in each reservoir area exceeded those in natural channels. FCO2 showed a decreasing trend along the flow direction, whereas FCH4 exhibited the opposite pattern. The FCH4 in the study area was significantly lower than that of CO2. The vertical distribution of dissolved organic matter (DOM) is depth-dependent: the shallow waters of reservoirs with shallow water depths (≤40 m) had high DOM and humic acid content, humification levels and hydrophobic organic components, whereas the deep waters of reservoirs with deeper water depths (≥70 m) had high DOM and humic acid content, humification levels and hydrophobic organic components. The carbon emissions of the LYX reservoir are mainly endogenous and more affected by climate change, whereas the carbon emissions of UJX are the result of the combined effects of endogenous and exogenous sources and are more affected by human activities. The construction of cascade reservoir systems has intensified the control over aquatic carbon emissions and DOM transport.
DOI: 10.5281/zenodo.15687837
title: Model scripts and outputs for study on emotions and emotion symbols (Uni Stuttgart 2025)

description: This repository contains the Python scripts (as ipynb notebooks + one .py include)  used to run LLama-3-Llava-8b, Qwen2.5-VL-7b and Qwen2.5-VL-32b-awq. It documents the outputs of the models (as .csv tables), together with the meta information on the pictures used (artist, title, Prometheus URLs).
DOI: 10.5281/zenodo.17668625
title: Model scripts and outputs for study on emotions and emotion symbols (Uni Stuttgart 2025)

description: This repository contains the Python scripts (as ipynb notebooks + one .py include)  used to run LLama-3-Llava-8b, Qwen2.5-VL-7b and Qwen2.5-VL-32b-awq. It documents the outputs of the models (as .csv tables), together with the meta information on the pictures used (artist, title, Prometheus URLs).
DOI: 10.15468/dl.cttmua
title: Occurrence Download

description: A dataset containing 6795 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "OccurrenceStatus is Present",
 "TaxonKey is Zanthoxylum armatum"
 ]
}

 The dataset includes 6795 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001920-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qpggpd
title: Occurrence Download

description: A dataset containing 1160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Staninwardia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1160 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001921-251120083545085/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.30192596
title: Redefinition of transmission clusters by accessing to additional diversity in <i>Mycobacterium tuberculosis</i> through long-read sequencing

description: Whole-genome sequencing, supported on short-read-sequencing, has revolutionized the precision to track <i>Mycobacterium tuberculosis</i> (MTB) transmission. However, the complexity of the MTB genome (10% repetitive regions and 65% GC content) challenges short-read mapping and assembly, leading to the exclusion of certain genomic regions from the analysis. Long-read sequencing can overcome these limitations, giving access to these regions, generally uninterrogated. Our study aims to evaluate the potential of long-read sequencing in redefining long-term MTB transmission clusters, previously characterized by short-read sequencing. We selected 78 cases from eight long-term clusters (5–17 years; 7 to 16 cases), from a population-based genomic epidemiology program in Almería, Spain. The clusters were carefully selected to ensure cases i) infected by identical strains (0 SNPs), ii) exhibiting pairwise-SNP-based distances from 1 to 16 SNPs and iii) distributed along different branches in the genomic networks. Long-read analysis increased the distances of each cluster from the reference by an average of 258 SNPs and intercluster distances by 113 SNPs. Within-cluster diversity also increased, with pairwise distances rising from 1 to 22 SNPs across 1–7 network branches. In one cluster, the acquisition of diversity led to overpass the 12-SNP threshold to consider a transmission cluster. Additionally, in four clusters, 1–2 cases previously classified as infected by identical strains were now reclassified due to the identification of additional SNP differences. Thanks to the identification of new diversity between the cases we could identify index cases, reconstruct transmission chronologies, precise patient-to-patient relationships and propose new epidemiological interpretations among the cases in cluster.
DOI: 10.6084/m9.figshare.30192596.v1
title: Redefinition of transmission clusters by accessing to additional diversity in <i>Mycobacterium tuberculosis</i> through long-read sequencing

description: Whole-genome sequencing, supported on short-read-sequencing, has revolutionized the precision to track <i>Mycobacterium tuberculosis</i> (MTB) transmission. However, the complexity of the MTB genome (10% repetitive regions and 65% GC content) challenges short-read mapping and assembly, leading to the exclusion of certain genomic regions from the analysis. Long-read sequencing can overcome these limitations, giving access to these regions, generally uninterrogated. Our study aims to evaluate the potential of long-read sequencing in redefining long-term MTB transmission clusters, previously characterized by short-read sequencing. We selected 78 cases from eight long-term clusters (5–17 years; 7 to 16 cases), from a population-based genomic epidemiology program in Almería, Spain. The clusters were carefully selected to ensure cases i) infected by identical strains (0 SNPs), ii) exhibiting pairwise-SNP-based distances from 1 to 16 SNPs and iii) distributed along different branches in the genomic networks. Long-read analysis increased the distances of each cluster from the reference by an average of 258 SNPs and intercluster distances by 113 SNPs. Within-cluster diversity also increased, with pairwise distances rising from 1 to 22 SNPs across 1–7 network branches. In one cluster, the acquisition of diversity led to overpass the 12-SNP threshold to consider a transmission cluster. Additionally, in four clusters, 1–2 cases previously classified as infected by identical strains were now reclassified due to the identification of additional SNP differences. Thanks to the identification of new diversity between the cases we could identify index cases, reconstruct transmission chronologies, precise patient-to-patient relationships and propose new epidemiological interpretations among the cases in cluster.
DOI: 10.6084/m9.figshare.30432897
title: Genomic and epidemiological characteristics of <i>Shigella boydii</i> in Australia, 1991–2022

description: Shigellosis is a leading cause of diarrheal mortality worldwide. <i>Shigella boydii</i> is one of four <i>Shigella</i> species that contributes to this burden, however studies on <i>S. boydii</i> are limited. Here we combined epidemiological and genomic data to better understand <i>S. boydii</i> circulating both in Australia and globally. Between 1991 and 2019, there were 294 cases of <i>S. boydii</i> infections notified to the National Notifiable Diseases Surveillance System by Australian states and territories, with an increasing trend in notifications observed from 2013. Of cases whose place of acquisition was known, 54% (111/206) were acquired overseas, mainly from South-East Asia (57%; 63/111). Our genomic analysis included 250 <i>S. boydii</i> isolates: 44 from Victoria, Australia spanning 22 years (2001–2022) and 206 international isolates spanning 91 years (1930–2020). Phylogenomic analyses identified five major <i>S. boydii</i> phylogenetic lineages circulating globally. The Australian isolates were distributed across all five lineages, but the highest proportion was in Lineage 3. Antimicrobial resistance was common in both international and Australian isolates with &gt; 60% of isolates classified as multi-drug-resistant. Resistance to the main clinically relevant antimicrobials was rare in <i>S. boydii</i>. Ciprofloxacin resistance was detected in seven <i>S. boydii</i>, however reduced susceptibility to ciprofloxacin was detected in 56 isolates and found in both Australian and international data. Importantly, resistance mechanisms to third-generation cephalosporins and macrolides were also detected. This study is the largest genomic analysis of <i>S. boydii</i> to date, providing insights into the population structure, epidemiology and emerging AMR threats in this neglected <i>Shigella</i> species.
DOI: 10.6084/m9.figshare.30432897.v1
title: Genomic and epidemiological characteristics of <i>Shigella boydii</i> in Australia, 1991–2022

description: Shigellosis is a leading cause of diarrheal mortality worldwide. <i>Shigella boydii</i> is one of four <i>Shigella</i> species that contributes to this burden, however studies on <i>S. boydii</i> are limited. Here we combined epidemiological and genomic data to better understand <i>S. boydii</i> circulating both in Australia and globally. Between 1991 and 2019, there were 294 cases of <i>S. boydii</i> infections notified to the National Notifiable Diseases Surveillance System by Australian states and territories, with an increasing trend in notifications observed from 2013. Of cases whose place of acquisition was known, 54% (111/206) were acquired overseas, mainly from South-East Asia (57%; 63/111). Our genomic analysis included 250 <i>S. boydii</i> isolates: 44 from Victoria, Australia spanning 22 years (2001–2022) and 206 international isolates spanning 91 years (1930–2020). Phylogenomic analyses identified five major <i>S. boydii</i> phylogenetic lineages circulating globally. The Australian isolates were distributed across all five lineages, but the highest proportion was in Lineage 3. Antimicrobial resistance was common in both international and Australian isolates with &gt; 60% of isolates classified as multi-drug-resistant. Resistance to the main clinically relevant antimicrobials was rare in <i>S. boydii</i>. Ciprofloxacin resistance was detected in seven <i>S. boydii</i>, however reduced susceptibility to ciprofloxacin was detected in 56 isolates and found in both Australian and international data. Importantly, resistance mechanisms to third-generation cephalosporins and macrolides were also detected. This study is the largest genomic analysis of <i>S. boydii</i> to date, providing insights into the population structure, epidemiology and emerging AMR threats in this neglected <i>Shigella</i> species.
DOI: 10.6084/m9.figshare.30356097
title: Impact of secondhand smoke and e-cigarette aerosol on overweight or obesity in adolescents: a network pharmacology and toxicology study

description: Rising childhood obesity is a global concern, with environmental tobacco exposure as a potential risk factor. However, the mechanisms linking secondhand smoke and e-cigarette aerosol to adolescent obesity remain unclear. We analyzed data from 968 participants aged 3– 19 years in the NHANES 2017– 2020 cycles. Passive exposure was assessed using self-reported household exposure and objectively measured serum cotinine levels. Multivariate logistic regression was used to evaluate the associations between exposure categories and overweight/obesity status. Cotinine-related molecular targets were identified through network pharmacology and toxicology analyses, with protein-protein interaction networks, enrichment analyses, and molecular docking used to explore relevant pathways. Compared with unexposed individuals, participants exposed to both secondhand smoke and e-cigarette aerosols had significantly greater odds of overweight or obesity (adjusted odds ratio [aOR] = 3.9; 95% CI: 1.4–11.0; <i>p</i> = 0.009). Serum cotinine levels were also positively associated with obesity risk in a dose-dependent manner, with those in the highest quartile (Q4) showing aOR = 3.8 (95% CI: 2.1–6.8; <i>p</i> &lt; 0.001) compared with those in Q1. Network analyses identified CHRNA2 and CHRNB2 as key targets involved in cholinergic signaling and metabolic regulation. Cotinine demonstrated strong binding affinity to these targets in molecular docking, supporting its potential biological activity beyond being a nicotine biomarker. Passive nicotine exposure is significantly associated with overweight or obesity among adolescents, and cotinine may be involved in relevant biological pathways related to energy regulation. These findings may inform future research and preventive strategies.