cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1473570.10fu
title: SH1473570.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1474771.10fu
title: SH1474771.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1475979.10fu
title: SH1475979.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.18232830
title: The Universal Permeant: A Thermodynamically Grounded, Falsifiable Framework for Ultra-Small Drug Molecules Capable of Pan-Barrier Penetration

description: Biological barriers, honed by evolution to repel xenobiotics, profoundly limit therapeutic accessibility. Over 98% of small-molecule drugs are excluded from the blood-brain barrier (BBB), precipitating up to 90% of clinical trial failures attributable to suboptimal penetration across diverse barriers, including the skin and placenta [shityakov2024predicting, friden2009structure]. Herein, we advance a falsifiable, thermodynamically rigorous theory delineating \textit{universal permeants}: ultra-small drug molecules (USDMs; M_w < 200 Da) meticulously designed to harness foundational physical tenets—minimized excluded volume, diminished desolvation penalties, and exploitation of thermal pore fluctuations—facilitating pan-barrier penetration sans active transport or nanovehicles. We rigorously derive the \textbf{Universal Permeability Equation}: P_{uni} = \frac{k_B T}{8\pi \eta_{mem} r^3} \cdot \frac{K}{h} \cdot \exp\left(-\frac{\Delta G_{total}}{RT}\right) \cdot (1 - \epsilon), wherein \Delta G_{total} = \Delta G_{solv} + \Delta G_{conf} + \Delta G_{elec} encapsulates the aggregate free energy impediment, and \epsilon quantifies efflux vulnerability. This formulation amalgamates rotational diffusion dynamics, partitioning kinetics, and thermodynamic surmountability. Empirical corroboration spans 12 benchmark compounds, with simulations traversing 7 biological barriers via a hierarchical Bayesian paradigm, evincing exemplary convergence (\hat{R} < 1.01, ESS > 2000). Our delineation unveils a “Golden Zone” within chemical space optimizing P_{uni}. Sensitivity scrutiny elucidates P_{uni}'s inverse proportionality to membrane viscosity, molecular radius, and energetic barriers, with coefficients of variation (CV) spanning 20–50% amid parametric incertitude. Monte Carlo uncertainty propagation (n=5000) furnishes a mean permeability of 3.5 \times 10^{-5} cm/s for archetypal USDMs, bounded by 95% confidence intervals [2.8 \times 10^{-5}, 4.2 \times 10^{-5}] cm/s. Statistical robustness is affirmed through cross-validation (hold-out R^2 > 0.85), correlation analysis (no severe multicollinearity, VIF < 40), and superior performance metrics (MAE = 0.07 log units, RMSE = 0.10 log units, significantly outperforming Lipinski rules, p<0.01). Extended validation on 50 additional molecules from the MoleculeNet BBBP dataset in the appendix confirms scalability (AUC = 0.93 for binary classification). Toxicity proxies, integrated via quantitative estimate of drug-likeness (QED) and synthetic accessibility (SA) scores, indicate low risk in the Golden Zone (mean QED = 0.6, SA = 2.5). Critically, the theory's falsifiability is explicit: in vivo BBB traversal failure by any Golden Zone constituent repudiates the model. This opus inaugurates a transformative ethos in rational pharmacophore design, anchored in primordial physics over empirical aphorisms, poised to ameliorate up to 70% of permeability-linked clinical attrition, per FDA dossiers from 2010–2025.
DOI: 10.15156/bio/sh1477207.10fu
title: SH1477207.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.18232829
title: The Universal Permeant: A Thermodynamically Grounded, Falsifiable Framework for Ultra-Small Drug Molecules Capable of Pan-Barrier Penetration

description: Biological barriers, honed by evolution to repel xenobiotics, profoundly limit therapeutic accessibility. Over 98% of small-molecule drugs are excluded from the blood-brain barrier (BBB), precipitating up to 90% of clinical trial failures attributable to suboptimal penetration across diverse barriers, including the skin and placenta [shityakov2024predicting, friden2009structure]. Herein, we advance a falsifiable, thermodynamically rigorous theory delineating \textit{universal permeants}: ultra-small drug molecules (USDMs; M_w < 200 Da) meticulously designed to harness foundational physical tenets—minimized excluded volume, diminished desolvation penalties, and exploitation of thermal pore fluctuations—facilitating pan-barrier penetration sans active transport or nanovehicles. We rigorously derive the \textbf{Universal Permeability Equation}: P_{uni} = \frac{k_B T}{8\pi \eta_{mem} r^3} \cdot \frac{K}{h} \cdot \exp\left(-\frac{\Delta G_{total}}{RT}\right) \cdot (1 - \epsilon), wherein \Delta G_{total} = \Delta G_{solv} + \Delta G_{conf} + \Delta G_{elec} encapsulates the aggregate free energy impediment, and \epsilon quantifies efflux vulnerability. This formulation amalgamates rotational diffusion dynamics, partitioning kinetics, and thermodynamic surmountability. Empirical corroboration spans 12 benchmark compounds, with simulations traversing 7 biological barriers via a hierarchical Bayesian paradigm, evincing exemplary convergence (\hat{R} < 1.01, ESS > 2000). Our delineation unveils a “Golden Zone” within chemical space optimizing P_{uni}. Sensitivity scrutiny elucidates P_{uni}'s inverse proportionality to membrane viscosity, molecular radius, and energetic barriers, with coefficients of variation (CV) spanning 20–50% amid parametric incertitude. Monte Carlo uncertainty propagation (n=5000) furnishes a mean permeability of 3.5 \times 10^{-5} cm/s for archetypal USDMs, bounded by 95% confidence intervals [2.8 \times 10^{-5}, 4.2 \times 10^{-5}] cm/s. Statistical robustness is affirmed through cross-validation (hold-out R^2 > 0.85), correlation analysis (no severe multicollinearity, VIF < 40), and superior performance metrics (MAE = 0.07 log units, RMSE = 0.10 log units, significantly outperforming Lipinski rules, p<0.01). Extended validation on 50 additional molecules from the MoleculeNet BBBP dataset in the appendix confirms scalability (AUC = 0.93 for binary classification). Toxicity proxies, integrated via quantitative estimate of drug-likeness (QED) and synthetic accessibility (SA) scores, indicate low risk in the Golden Zone (mean QED = 0.6, SA = 2.5). Critically, the theory's falsifiability is explicit: in vivo BBB traversal failure by any Golden Zone constituent repudiates the model. This opus inaugurates a transformative ethos in rational pharmacophore design, anchored in primordial physics over empirical aphorisms, poised to ameliorate up to 70% of permeability-linked clinical attrition, per FDA dossiers from 2010–2025.
DOI: 10.15156/bio/sh1480128.10fu
title: SH1480128.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.njr2rh
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paspalum scrobiculatum",
 "Country is Micronesia (Federated States of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086907-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qa56p9
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paspalum scrobiculatum",
 "Country is Fiji",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086909-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fk8n8u
title: Occurrence Download

description: A dataset containing 1646 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Columba livia",
 "Country is Tanzania, United Republic of",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1646 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086908-250717081556266/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.29792426
title: Supplementary Material for: Persistence to adjuvant endocrine treatment for breast cancer in Botswana, an observational cohort analysis.

description: Purpose: 
Daily use of adjuvant endocrine therapy significantly reduces the risk of recurrence and death of estrogen positive breast cancer; however, it remains unclear to what degree patients persist with endocrine therapy in Southern Africa.

Methods: 
Female patients, &gt;18 years of age, with estrogen receptor positive breast cancer within the Thabaste Cancer Cohort in Botswana were identified and contacted to determine if they remained persistent to their adjuvant endocrine therapy. Non-persistence was defined as self-reported discontinuation of endocrine therapy for longer than 180 days. Clinical and demographic data were compared between persistent and non-persistent patients. 

Results:
133 patients with estrogen receptor positive breast cancer were identified of which 91 were prescribed adjuvant endocrine therapy. Tamoxifen was prescribed for 56 (63%) and anastrozole for 33 (37%) women. Adjuvant endocrine therapy was interrupted in 45 (50%) of patients, however, only 8 (8.8%) were non-persistent. Sociodemographic and clinical characteristics were similar between persistent and non-persistent patients except significantly higher income was noted in those persistent to endocrine therapy. Medication non-availability was the most common reason noted for interruption of endocrine therapy. 

Conclusion:
Interruptions to adjuvant endocrine therapy in Botswana is common but rates of persistence remain high. Medication stockout was the most common reasons for interruption of adjuvant endocrine therapy.
DOI: 10.6084/m9.figshare.29792426.v1
title: Supplementary Material for: Persistence to adjuvant endocrine treatment for breast cancer in Botswana, an observational cohort analysis.

description: Purpose: 
Daily use of adjuvant endocrine therapy significantly reduces the risk of recurrence and death of estrogen positive breast cancer; however, it remains unclear to what degree patients persist with endocrine therapy in Southern Africa.

Methods: 
Female patients, &gt;18 years of age, with estrogen receptor positive breast cancer within the Thabaste Cancer Cohort in Botswana were identified and contacted to determine if they remained persistent to their adjuvant endocrine therapy. Non-persistence was defined as self-reported discontinuation of endocrine therapy for longer than 180 days. Clinical and demographic data were compared between persistent and non-persistent patients. 

Results:
133 patients with estrogen receptor positive breast cancer were identified of which 91 were prescribed adjuvant endocrine therapy. Tamoxifen was prescribed for 56 (63%) and anastrozole for 33 (37%) women. Adjuvant endocrine therapy was interrupted in 45 (50%) of patients, however, only 8 (8.8%) were non-persistent. Sociodemographic and clinical characteristics were similar between persistent and non-persistent patients except significantly higher income was noted in those persistent to endocrine therapy. Medication non-availability was the most common reason noted for interruption of endocrine therapy. 

Conclusion:
Interruptions to adjuvant endocrine therapy in Botswana is common but rates of persistence remain high. Medication stockout was the most common reasons for interruption of adjuvant endocrine therapy.
DOI: 10.6084/m9.figshare.29792432
title: Supplementary Material for: Association between serum gamma-glutamyl transferase levels and polyvascular atherosclerotic plaques and stenosis: A cross-sectional study

description: Introduction
Serum gamma-glutamyl transferase (GGT) was associated with cardiovascular disease. However, limited research has explored the relationship between GGT and polyvascular atherosclerosis.
Methods 
This study is based on the baselines cross-sectional survey of the PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events study, a population-based cohort study. Serum GGT levels were categorized into quartiles. Atherosclerotic plaques and stenosis were evaluated using magnetic resonance imaging and computed tomography angiography. The extent of atherosclerotic plaques and stenosis was assessed based on the number of these 8 vascular sites (e.g., intracranial, extracranial, coronary, subclavian, aortic, renal, iliofemoral, and peripheral arteries) and was classified as affected vascular sites as zero, one, two-three, or four-eight extensive atherosclerotic sites. The correlation of GGT with the presence and extent of plaques and stenosis was assessed by binary logistic and ordinal logistic regression models.
Results
A total of 3046 participants were included with a mean age of 61.2±6.7 years. GGT levels were associated with the presence (Q4 vs. Q1, odds ratio (OR),2.14; 95% confidence interval (CI) 1.35-3.39) and the extent (common odds ratio (cOR),2.08; 95%CI 1.68-2.57) of atherosclerotic plaques, and the presence (OR, 1.57; 95%CI, 1.24-2.00) and extent (cOR, 1.64; 95%CI, 1.30-2.06) of atherosclerotic stenosis after adjusting for age, sex, smoking, and alcohol consumption. However, associations were not significant after further adjusting for body mass index, low-density lipoprotein cholesterol, hypertension, diabetes mellitus, dyslipidemia, and medication history.
Conclusion
GGT levels were associated with the presence and burden of atherosclerotic plaques and stenosis, but not after adjusting some metabolism-related factors.
DOI: 10.6084/m9.figshare.29792432.v1
title: Supplementary Material for: Association between serum gamma-glutamyl transferase levels and polyvascular atherosclerotic plaques and stenosis: A cross-sectional study

description: Introduction
Serum gamma-glutamyl transferase (GGT) was associated with cardiovascular disease. However, limited research has explored the relationship between GGT and polyvascular atherosclerosis.
Methods 
This study is based on the baselines cross-sectional survey of the PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events study, a population-based cohort study. Serum GGT levels were categorized into quartiles. Atherosclerotic plaques and stenosis were evaluated using magnetic resonance imaging and computed tomography angiography. The extent of atherosclerotic plaques and stenosis was assessed based on the number of these 8 vascular sites (e.g., intracranial, extracranial, coronary, subclavian, aortic, renal, iliofemoral, and peripheral arteries) and was classified as affected vascular sites as zero, one, two-three, or four-eight extensive atherosclerotic sites. The correlation of GGT with the presence and extent of plaques and stenosis was assessed by binary logistic and ordinal logistic regression models.
Results
A total of 3046 participants were included with a mean age of 61.2±6.7 years. GGT levels were associated with the presence (Q4 vs. Q1, odds ratio (OR),2.14; 95% confidence interval (CI) 1.35-3.39) and the extent (common odds ratio (cOR),2.08; 95%CI 1.68-2.57) of atherosclerotic plaques, and the presence (OR, 1.57; 95%CI, 1.24-2.00) and extent (cOR, 1.64; 95%CI, 1.30-2.06) of atherosclerotic stenosis after adjusting for age, sex, smoking, and alcohol consumption. However, associations were not significant after further adjusting for body mass index, low-density lipoprotein cholesterol, hypertension, diabetes mellitus, dyslipidemia, and medication history.
Conclusion
GGT levels were associated with the presence and burden of atherosclerotic plaques and stenosis, but not after adjusting some metabolism-related factors.
DOI: 10.15468/dl.c2uxy2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Polyplacophora)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-50 70,-40 70,-40 80,-50 80,-50 70))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025938-251009101135966/datasets/export for details.
DOI: 10.15468/dl.hqzq7y
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024254-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wajgsp
title: Occurrence Download

description: A dataset containing 139156421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-120.41016 3.05715,-62.05078 3.05715,-62.05078 36.51317,-120.41016 36.51317,-120.41016 3.05715))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 139156421 records from 3347 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011592-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id125705.1
title: StrainInfo SI-ID 125705.1

description: StrainInfo dataset 125705 about a strain of Corynebacterium simulans. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id125706.1
title: StrainInfo SI-ID 125706.1

description: StrainInfo dataset 125706 about a strain of Cupriavidus pauculus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.