cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.zat5bp
title: Occurrence Download

description: A dataset containing 30548716 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 30548716 records from 3007 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005055-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddqfp5
title: Occurrence Download

description: A dataset containing 3044 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cucurbita argyrosperma K.Koch"
 ]
}

 The dataset includes 3044 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012721-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dfsa8p
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.19_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Arctium lappa L."
 ]
}

 The dataset includes 29 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012722-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3k6qgj
title: Occurrence Download

description: A dataset containing 2229511 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 2229511 records from 4083 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028504-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.recquq
title: Occurrence Download

description: A dataset containing 4870781 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 34.085278",
 "DecimalLatitude is less than or equal to 39.085278",
 "DecimalLongitude is greater than or equal to -10.0",
 "DecimalLongitude is less than or equal to -5.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 4870781 records from 260 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044093-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17877232
title: data and code: The impact of organic, conventional and regenerative agriculture on soil virome ecology and functions

description: R code and metadata for the manusript "The impact of organic, conventional and regenerative agriculture on soil virome ecology and functions"
DOI: 10.6084/m9.figshare.30437852
title: Unveiling miRNA biomarkers for hypertrophic cardiomyopathy through integrated bioinformatics and machine learning analysis

description: This study explores microRNAs (miRNAs) as biomarkers for hypertrophic cardiomyopathy (HCM), an inherited cardiac disease with clinical diversity and sudden death risk. Using bioinformatics and machine learning (ML), Gene Expression Omnibus (GEO) datasets were analysed to identify miRNA signatures for early detection, risk assessment, and personalised treatment of HCM. Differential expression analysis of three GEO datasets identified 155 differentially expressed genes (DEGs) and 5 differentially expressed miRNAs (DE-miRNAs). Functional annotation and pathway analysis revealed their roles in inflammatory responses, extracellular matrix organisation, and cellular stress responses. Notably, upregulated (COL21A1, PROM1) and downregulated (FOS, BTG2, ELL2, PDK4, SERPINE1, SRGN, TIPARP) genes were detected as potential DE-miRNA targets. Validation highlighted importance of ELL2 and PDK4 in HCM pathology. Support Vector Machine (SVM) and Random Forest (RF) models demonstrated high predictive accuracy for HCM using DE-miRNAs, suggesting new paths for early diagnosis and personalised therapy.
DOI: 10.6084/m9.figshare.30437852.v1
title: Unveiling miRNA biomarkers for hypertrophic cardiomyopathy through integrated bioinformatics and machine learning analysis

description: This study explores microRNAs (miRNAs) as biomarkers for hypertrophic cardiomyopathy (HCM), an inherited cardiac disease with clinical diversity and sudden death risk. Using bioinformatics and machine learning (ML), Gene Expression Omnibus (GEO) datasets were analysed to identify miRNA signatures for early detection, risk assessment, and personalised treatment of HCM. Differential expression analysis of three GEO datasets identified 155 differentially expressed genes (DEGs) and 5 differentially expressed miRNAs (DE-miRNAs). Functional annotation and pathway analysis revealed their roles in inflammatory responses, extracellular matrix organisation, and cellular stress responses. Notably, upregulated (COL21A1, PROM1) and downregulated (FOS, BTG2, ELL2, PDK4, SERPINE1, SRGN, TIPARP) genes were detected as potential DE-miRNA targets. Validation highlighted importance of ELL2 and PDK4 in HCM pathology. Support Vector Machine (SVM) and Random Forest (RF) models demonstrated high predictive accuracy for HCM using DE-miRNAs, suggesting new paths for early diagnosis and personalised therapy.
DOI: 10.6084/m9.figshare.30464887
title: Functional determinants and perceived barriers to cardiac rehabilitation as predictors of short-term hospital readmission in acute coronary syndrome: an observational longitudinal cohort study

description: This study investigated whether functional characteristics and barriers to cardiac rehabilitation (CR), assessed through the Cardiac Rehabilitation Barriers Scale (CRBS), predict 30-day hospital readmission following discharge for acute coronary syndrome (ACS). Single-center, observational longitudinal study conducted at a cardiology hospital. At hospital discharge, participants underwent assessments of respiratory muscle strength (maximum inspiratory [MIP] and expiratory pressures [MEP]), handgrip strength (HGS-D), and functional capacity (6-minute walk distance [6MWD]). At 30 days post-discharge, patients completed the CRBS, encompassing four domains (perceived needs/healthcare factors, logistical factors, work/time conflicts, and comorbidities/functional status) and were evaluated for hospital readmission. A total of 320 patients (63.8% men, mean age 63.5 ± 11.3 years, median GRACE score 109 [range 63–173]) were included. After adjustment for confounders (age, sex, BMI, GRACE score, length of stay, and time since discharge), shorter 6MWD (OR = 0.981, 95%CI 0.968–0.994, <i>p</i> = 0.005), lower MEP (OR = 0.891, 95%CI 0.841–0.945, <i>p</i> &lt; 0.001), and higher CRBS comorbidities/functional status scores (OR = 1.429, 95%CI 1.241–1.645, <i>p</i> &lt; 0.001) were associated with increased odds of hospital readmission. Additionally, 6MWD was inversely associated with the CRBS sum score (β = −0.020, 95%CI −0.034 to −0.006, <i>p</i> = 0.005). Functional impairments and perceived barriers to cardiac rehabilitation are significant predictors of 30-day hospital readmission in ACS patients. Early identification of at-risk individuals may enhance post-discharge care strategies and reduce readmission rates.
DOI: 10.6084/m9.figshare.30464887.v1
title: Functional determinants and perceived barriers to cardiac rehabilitation as predictors of short-term hospital readmission in acute coronary syndrome: an observational longitudinal cohort study

description: This study investigated whether functional characteristics and barriers to cardiac rehabilitation (CR), assessed through the Cardiac Rehabilitation Barriers Scale (CRBS), predict 30-day hospital readmission following discharge for acute coronary syndrome (ACS). Single-center, observational longitudinal study conducted at a cardiology hospital. At hospital discharge, participants underwent assessments of respiratory muscle strength (maximum inspiratory [MIP] and expiratory pressures [MEP]), handgrip strength (HGS-D), and functional capacity (6-minute walk distance [6MWD]). At 30 days post-discharge, patients completed the CRBS, encompassing four domains (perceived needs/healthcare factors, logistical factors, work/time conflicts, and comorbidities/functional status) and were evaluated for hospital readmission. A total of 320 patients (63.8% men, mean age 63.5 ± 11.3 years, median GRACE score 109 [range 63–173]) were included. After adjustment for confounders (age, sex, BMI, GRACE score, length of stay, and time since discharge), shorter 6MWD (OR = 0.981, 95%CI 0.968–0.994, <i>p</i> = 0.005), lower MEP (OR = 0.891, 95%CI 0.841–0.945, <i>p</i> &lt; 0.001), and higher CRBS comorbidities/functional status scores (OR = 1.429, 95%CI 1.241–1.645, <i>p</i> &lt; 0.001) were associated with increased odds of hospital readmission. Additionally, 6MWD was inversely associated with the CRBS sum score (β = −0.020, 95%CI −0.034 to −0.006, <i>p</i> = 0.005). Functional impairments and perceived barriers to cardiac rehabilitation are significant predictors of 30-day hospital readmission in ACS patients. Early identification of at-risk individuals may enhance post-discharge care strategies and reduce readmission rates.
DOI: 10.6084/m9.figshare.21429343
title: Low incidence of severe bacterial infections in hospitalised patients with COVID-19: A population-based registry study

description: Bacterial infections complicating COVID-19 are rare but present a challenging clinical entity. The aim of this study was to evaluate the incidence, aetiology and outcome of severe laboratory-verified bacterial infections in hospitalised patients with COVID-19. All laboratory-confirmed patients with COVID-19 admitted to specialised healthcare hospitals in the Capital Province of Finland during the first wave of COVID-19 between 27 February and 21 June 2020 were retrospectively studied. We gathered the blood and respiratory tract culture reports of these patients and analysed their association with 90-day case-fatality using multivariable regression analysis. A severe bacterial infection was diagnosed in 40/585 (6.8%) patients with COVID-19. The range of bacteria was diverse, and the most common bacterial findings in respiratory samples were gram-negative, and in blood cultures gram-positive bacteria. Patients with severe bacterial infection had longer hospital stay (mean 31; SD 20 days) compared to patients without (mean 9; SD 9 days; <i>p</i> &lt; 0.001). Case-fatality was higher with bacterial infection (15% vs 11%), but the difference was not statistically significant (OR 1.38 CI95% 0.56–3.41). Severe bacterial infection complicating COVID-19 was a rare occurrence in our cohort. Our results are in line with the current understanding that antibiotic treatment for hospitalised COVID-19 patients should only be reserved for situations where a bacterial infection is strongly suspected. The ever-evolving landscape of the pandemic and recent advances in immunomodulatory treatment of COVID-19 patients underline the need for continuous vigilance concerning the possibility and frequency of nosocomial bacterial infections.
DOI: 10.6084/m9.figshare.21429343.v1
title: Low incidence of severe bacterial infections in hospitalised patients with COVID-19: A population-based registry study

description: Bacterial infections complicating COVID-19 are rare but present a challenging clinical entity. The aim of this study was to evaluate the incidence, aetiology and outcome of severe laboratory-verified bacterial infections in hospitalised patients with COVID-19. All laboratory-confirmed patients with COVID-19 admitted to specialised healthcare hospitals in the Capital Province of Finland during the first wave of COVID-19 between 27 February and 21 June 2020 were retrospectively studied. We gathered the blood and respiratory tract culture reports of these patients and analysed their association with 90-day case-fatality using multivariable regression analysis. A severe bacterial infection was diagnosed in 40/585 (6.8%) patients with COVID-19. The range of bacteria was diverse, and the most common bacterial findings in respiratory samples were gram-negative, and in blood cultures gram-positive bacteria. Patients with severe bacterial infection had longer hospital stay (mean 31; SD 20 days) compared to patients without (mean 9; SD 9 days; <i>p</i> &lt; 0.001). Case-fatality was higher with bacterial infection (15% vs 11%), but the difference was not statistically significant (OR 1.38 CI95% 0.56–3.41). Severe bacterial infection complicating COVID-19 was a rare occurrence in our cohort. Our results are in line with the current understanding that antibiotic treatment for hospitalised COVID-19 patients should only be reserved for situations where a bacterial infection is strongly suspected. The ever-evolving landscape of the pandemic and recent advances in immunomodulatory treatment of COVID-19 patients underline the need for continuous vigilance concerning the possibility and frequency of nosocomial bacterial infections.
DOI: 10.6084/m9.figshare.21383764
title: Follow-up evaluation for norovirus asymptomatic infection among healthy adults: a prospective matched cohort study

description: No study has evaluated the follow-up of asymptomatic norovirus infection among healthy adults. This study compared norovirus detection rates between previously known norovirus-positive and norovirus-negative adults without diarrheal symptoms, and evaluated reinfection risk among the previously-norovirus-positive group, and new asymptomatic norovirus infection risk among the previously-norovirus-negative group after 600 days. This prospective age- and sex-matched cohort study, conducted in 2019 at a Japan teaching hospital, included apparently healthy asymptomatic adults with a positive norovirus result and those with a negative result (ratio 1:3) during the 2016–2017 screening. The primary outcome was real-time reverse-transcription polymerase chain reaction-confirmed norovirus in stool specimens. We evaluated descriptive statistics and associated factors, including demographics, social habits, and clinical parameters. Of 288 participants [mean age, 59.9 (standard deviation: 12.6) years; male, 143 (49.7%)], 73 [genogroup (G) I 35; GII 37; both included 1 each] were positive for norovirus previously, while 215 were negative. After a median of 599 (interquartile range 515–799) days between baseline screening and follow-up, 14 (4.9%; GI 0; GII 14) tested positive for norovirus (2.7% and 5.6% among positive- and negative-norovirus groups at baseline, respectively). Among previously norovirus-negative participants, being older, having elevated blood pressure and haemoglobin A1c level, and drinking Japanese sake at baseline were associated with positive results at follow-up. Genogroup homotypic protective effect may exist for subsequent asymptomatic infection. There may be higher risks of future asymptomatic norovirus infection in previously no-norovirus asymptomatic infection people with specific lifestyles or medical histories. SUMMARYThe detection follow-up rates of norovirus were 2.7% and 5.6% among asymptomatic adults with positive- and negative-norovirus status at baseline, respectively. Specific lifestyles or medical histories may confer higher risk of norovirus detection. The detection follow-up rates of norovirus were 2.7% and 5.6% among asymptomatic adults with positive- and negative-norovirus status at baseline, respectively. Specific lifestyles or medical histories may confer higher risk of norovirus detection.
DOI: 10.6084/m9.figshare.21383764.v2
title: Follow-up evaluation for norovirus asymptomatic infection among healthy adults: a prospective matched cohort study

description: No study has evaluated the follow-up of asymptomatic norovirus infection among healthy adults. This study compared norovirus detection rates between previously known norovirus-positive and norovirus-negative adults without diarrheal symptoms, and evaluated reinfection risk among the previously-norovirus-positive group, and new asymptomatic norovirus infection risk among the previously-norovirus-negative group after 600 days. This prospective age- and sex-matched cohort study, conducted in 2019 at a Japan teaching hospital, included apparently healthy asymptomatic adults with a positive norovirus result and those with a negative result (ratio 1:3) during the 2016–2017 screening. The primary outcome was real-time reverse-transcription polymerase chain reaction-confirmed norovirus in stool specimens. We evaluated descriptive statistics and associated factors, including demographics, social habits, and clinical parameters. Of 288 participants [mean age, 59.9 (standard deviation: 12.6) years; male, 143 (49.7%)], 73 [genogroup (G) I 35; GII 37; both included 1 each] were positive for norovirus previously, while 215 were negative. After a median of 599 (interquartile range 515–799) days between baseline screening and follow-up, 14 (4.9%; GI 0; GII 14) tested positive for norovirus (2.7% and 5.6% among positive- and negative-norovirus groups at baseline, respectively). Among previously norovirus-negative participants, being older, having elevated blood pressure and haemoglobin A1c level, and drinking Japanese sake at baseline were associated with positive results at follow-up. Genogroup homotypic protective effect may exist for subsequent asymptomatic infection. There may be higher risks of future asymptomatic norovirus infection in previously no-norovirus asymptomatic infection people with specific lifestyles or medical histories. SUMMARYThe detection follow-up rates of norovirus were 2.7% and 5.6% among asymptomatic adults with positive- and negative-norovirus status at baseline, respectively. Specific lifestyles or medical histories may confer higher risk of norovirus detection. The detection follow-up rates of norovirus were 2.7% and 5.6% among asymptomatic adults with positive- and negative-norovirus status at baseline, respectively. Specific lifestyles or medical histories may confer higher risk of norovirus detection.
DOI: 10.6084/m9.figshare.21545756
title: Long-lasting T-cell response to SARS-CoV-2 antigens after vaccination—a prospective cohort study of HCWs working with COVID-19 patients

description: Vaccination against SARS-CoV-2 reduces the risk of hospitalisation and death, but vaccine-induced IgG antibodies against the spike protein (IgG S) decline over time. Less is known about the nature of the vaccine-induced T-cell response to SARS-CoV-2 antigens. IgG antibodies against nucleocapsid protein (IgG N), IgG S, and T-cell response towards SARS-CoV-2 antigens were determined in samples taken between November 2020 and November 2021 from a cohort of healthcare workers at an Infectious Diseases Department. RT-PCR screening for SARS-CoV-2 was encouraged once every four weeks in addition to testing when symptomatic or identified through contact tracing. Vaccination data were collected at the end of the study. At inclusion, T-cell response to SARS-CoV-2 antigens was found in 14/15 (93.3%) of participants with a previous/current COVID-19 infection and in 9/54 (16.7%) of participants with no prior/current history of COVID-19 infection. All participants with complete follow-up (<i>n</i> = 59) received two doses of a SARS-CoV-2 vaccine during the study. All participants demonstrated detectable IgG (S) antibodies at the end of the study, in median 278 days (IQR 112) after the second vaccine dose. All but four participants displayed T-cell responses towards SARS-CoV-2 antigens. IgG S antibody levels correlated with time since the second vaccine dose. In addition, previous COVID-19 infection and the strength of the S1 T-cell response correlated with IgG S antibody levels. However, no correlation was demonstrated between the strength of the T-cell response and time since the second vaccine dose. COVID-19 vaccination induces robust T-cell responses that remain for at least nine months.
DOI: 10.6084/m9.figshare.21545756.v1
title: Long-lasting T-cell response to SARS-CoV-2 antigens after vaccination—a prospective cohort study of HCWs working with COVID-19 patients

description: Vaccination against SARS-CoV-2 reduces the risk of hospitalisation and death, but vaccine-induced IgG antibodies against the spike protein (IgG S) decline over time. Less is known about the nature of the vaccine-induced T-cell response to SARS-CoV-2 antigens. IgG antibodies against nucleocapsid protein (IgG N), IgG S, and T-cell response towards SARS-CoV-2 antigens were determined in samples taken between November 2020 and November 2021 from a cohort of healthcare workers at an Infectious Diseases Department. RT-PCR screening for SARS-CoV-2 was encouraged once every four weeks in addition to testing when symptomatic or identified through contact tracing. Vaccination data were collected at the end of the study. At inclusion, T-cell response to SARS-CoV-2 antigens was found in 14/15 (93.3%) of participants with a previous/current COVID-19 infection and in 9/54 (16.7%) of participants with no prior/current history of COVID-19 infection. All participants with complete follow-up (<i>n</i> = 59) received two doses of a SARS-CoV-2 vaccine during the study. All participants demonstrated detectable IgG (S) antibodies at the end of the study, in median 278 days (IQR 112) after the second vaccine dose. All but four participants displayed T-cell responses towards SARS-CoV-2 antigens. IgG S antibody levels correlated with time since the second vaccine dose. In addition, previous COVID-19 infection and the strength of the S1 T-cell response correlated with IgG S antibody levels. However, no correlation was demonstrated between the strength of the T-cell response and time since the second vaccine dose. COVID-19 vaccination induces robust T-cell responses that remain for at least nine months.
DOI: 10.6084/m9.figshare.30847082
title: Formula treat benign prostatic hyperplasia ZZC

description: <b>Mechanism of Qianlong Shutong Formula in the treatment of benign prostatic hyperplasia by regulating metabolism and protein function</b><br>Running title: Formula treat benign prostatic hyperplasia
DOI: 10.6084/m9.figshare.30847082.v1
title: Formula treat benign prostatic hyperplasia ZZC

description: <b>Mechanism of Qianlong Shutong Formula in the treatment of benign prostatic hyperplasia by regulating metabolism and protein function</b><br>Running title: Formula treat benign prostatic hyperplasia
DOI: 10.5281/zenodo.17877237
title: Numerical simulation of coherent spin-shuttling in a QuBus with charged defects

description: This file contains a software package to simulate the coherent shuttling of an electron in a Si/SiGe QuBus as described in Ciroth et al. (arXiv:2512.03588), together with the data and the data analysis script generated in this study.
DOI: 10.5281/zenodo.17877238
title: Numerical simulation of coherent spin-shuttling in a QuBus with charged defects

description: This file contains a software package to simulate the coherent shuttling of an electron in a Si/SiGe QuBus as described in Ciroth et al. (arXiv:2512.03588), together with the data and the data analysis script generated in this study.