cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7274/27872508.v1
title: Mathematical Modeling to Support the Interpretation of Spatial Repellent Clinical Trials and Cost-Effectiveness Projections

description: Mosquito-transmitted diseases such as malaria and dengue are major public health burdens. Interventions that target mosquito vectors are promising for preventing contact between humans and mosquitoes. One such intervention class that is currently being tested in clinical trials is spatial repellents (SRs), which are products that may lower human-mosquito contact by driving mosquitoes away from human-inhabited spaces and/or interfere with the mosquito host-seeking and biting processes. Properly quantifying the mechanism of action of SRs is crucial to projecting the effectiveness of SRs when deployed on a large scale as the effectiveness of SRs is likely to vary geographically due to differences in transmission intensity and climate, among other factors. Three analyses were conducted to quantify SR mechanisms of action and cost-effectiveness.

Firstly, a Bayesian model was developed to attribute changes in malaria incidence, malaria prevalence, and human biting rates in a clinical trial in Indonesia to behavioral effects in the \textit{Anopheles} mosquito population induced by SRs. This analysis showed that SRs lowered the mosquito biting rate in treated homes by 25.5% (95% credible interval [CrI]: 4.62-39.7%), reduced mosquito mortality by 7.10% (95% CrI: 16.3% decrease-7.02% increase), and increased the amount of time mosquitoes spent inside human-inhabited spaces by 7.56% (95% CrI: 10.3% decrease-26.0% increase).

Secondly, a similar model was developed for a trial of SRs for prevention of arboviruses such as dengue in Peru. This analysis showed that SRs lowered the mosquito biting rate in treated homes by 9.85% (95% CrI: 4.72-15.7%), increased mosquito mortality by 32.6% (95% CrI: 11.7-60.5%), decreased the probability of mosquitoes entering treated homes by 33.4% (95% CrI: 15.1-52.6%) and decreased the exiting rate of mosquitoes from treated homes by 7.81% (95% CrI: 34.0% decrease - 17.4% increase).

Thirdly, optimal control theory along with estimates of SR effects from chapter two, a climate-driven model of mosquito abunadance, and an SEI-SEIS model were used to project the cost-effectiveness of SRs when deployed throughout Kenya. We found that cost-effectiveness of SRs depended critically on estimates of SR impact on mosquito mortality, and that SRs are likely to be cost-effective .

In conclusion, this dissertation proposes three studies to aid the decision of approval of SRs for use against malaria and dengue and provides a framework for understanding and elaborating on clinical trials of mosquito-borne diseases.
DOI: 10.15468/dl.czqm9x
title: Occurrence Download

description: A dataset containing 75471 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Petasites albus (L.) Gaertn.)"
 ]
}

 The dataset includes 75471 records from 372 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015007-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z6dek9
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Oenothera ×sesitensis Soldano)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015009-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7274/27872511
title: Direct Conversion of Natural Gas Resources to Nitrogen-Containing Products via Nonthermal Plasma Stimulation

description: New electrically driven processes to decrease the carbon footprint associated with pharmaceutical, agrochemical, and fine chemical industries are of significant interest. For example, electrocatalysis, photocatalysis, and plasma catalysis are capable of driving C-N bond formation pertinent to these industries, as the high energy electrons in these systems are able to activate stable hydrocarbons and molecular nitrogen. Recently, direct plasma-assisted C-N coupling reactions to produce nitrogen-containing chemicals from CH4/N2 feeds have been identified as a promising approach to combat CO2 emissions and provide an alternative to the multistep processes used industrially. Additionally, the abundance of shale gas in the United States presents an opportunity to utilize this resource for chemical production.

This thesis explores the synthesis of nitrogen-containing chemicals from nitrogen, methane, ethane, and propane in a dielectric barrier discharge reactor. Initial studies with a mixed hydrocarbon feed found that in nitrogen-lean regimes, hydrocarbon products dominated, while nitrogen-containing liquids were observed with nitrogen-rich feeds. To improve productivity, Ag and Cu supported on MgO were studied in the plasma reaction. The metal catalysts led to increased liquid formation and nitrogen incorporation compared to MgO. Next, to better understand the contributions of methane, ethane, and propane in the mixed feed, the differences that arise from the individual hydrocarbons in the presence of nitrogen were explored. Methane led to the most nitrogen-rich liquids, while propane led to the highest liquid production rate. Finally, a study on the effect of reaction time showed only minor differences between the liquid formed after 1 minute and after 30 minutes. However, when operated under cooling (-10 °C) or heating (200 °C) conditions, higher molecular weight compounds formed at -10 °C, possibly due to liquid remaining in the plasma zone and continuing to react throughout the experiment. This thesis demonstrates that a plasma-assisted process is a promising approach for upgrading natural gas to nitrogen-containing compounds. Investigating the effect of other possible feed components (i.e. CO2, O2), operating at low conversion to better understand initial products and reaction kinetics, and additional processing of the liquid product post-reaction to improve selectivity could further advance the understanding and applicability of this process.
DOI: 10.7274/27872511.v1
title: Direct Conversion of Natural Gas Resources to Nitrogen-Containing Products via Nonthermal Plasma Stimulation

description: New electrically driven processes to decrease the carbon footprint associated with pharmaceutical, agrochemical, and fine chemical industries are of significant interest. For example, electrocatalysis, photocatalysis, and plasma catalysis are capable of driving C-N bond formation pertinent to these industries, as the high energy electrons in these systems are able to activate stable hydrocarbons and molecular nitrogen. Recently, direct plasma-assisted C-N coupling reactions to produce nitrogen-containing chemicals from CH4/N2 feeds have been identified as a promising approach to combat CO2 emissions and provide an alternative to the multistep processes used industrially. Additionally, the abundance of shale gas in the United States presents an opportunity to utilize this resource for chemical production.

This thesis explores the synthesis of nitrogen-containing chemicals from nitrogen, methane, ethane, and propane in a dielectric barrier discharge reactor. Initial studies with a mixed hydrocarbon feed found that in nitrogen-lean regimes, hydrocarbon products dominated, while nitrogen-containing liquids were observed with nitrogen-rich feeds. To improve productivity, Ag and Cu supported on MgO were studied in the plasma reaction. The metal catalysts led to increased liquid formation and nitrogen incorporation compared to MgO. Next, to better understand the contributions of methane, ethane, and propane in the mixed feed, the differences that arise from the individual hydrocarbons in the presence of nitrogen were explored. Methane led to the most nitrogen-rich liquids, while propane led to the highest liquid production rate. Finally, a study on the effect of reaction time showed only minor differences between the liquid formed after 1 minute and after 30 minutes. However, when operated under cooling (-10 °C) or heating (200 °C) conditions, higher molecular weight compounds formed at -10 °C, possibly due to liquid remaining in the plasma zone and continuing to react throughout the experiment. This thesis demonstrates that a plasma-assisted process is a promising approach for upgrading natural gas to nitrogen-containing compounds. Investigating the effect of other possible feed components (i.e. CO2, O2), operating at low conversion to better understand initial products and reaction kinetics, and additional processing of the liquid product post-reaction to improve selectivity could further advance the understanding and applicability of this process.
DOI: 10.15468/dl.nkqtmd
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Oenothera ×stucchii Soldano)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 150 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015011-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7924/r4wm1hb9r
title: Data from: Engineering the microstructure and spatial bioactivity of MAP scaffolds instructs vasculogenesis in vitro and translates to vessel formation in vivo

description: This data was collected at Duke University in the Segura Lab. The goal of these studies was to explore the impact of microgel heterogeneity (microstructure, spatial bioactivity) on vasculogensis both in vitro and in vivo. 
In tissues where the vasculature is either lacking or abnormal, biomaterials can be designed to promote vessel formation and enhance tissue repair. In this work, we independently tune the microstructure and bioactivity of microporous annealed particle (MAP) scaffolds to guide cell growth in 3D and promote de novo assembly of endothelial progenitor-like cells into vessels. We implement both in silico characterization and in vitro experimentation to elucidate an optimal scaffold formulation for vasculogenesis. We determine that MAP scaffolds with pore volumes on the same order of magnitude as cells facilitate cell growth and vacuole formation. We achieve spatial control over cell spreading by incorporating adhesive microgels in well-mixed, heterogeneous MAP scaffolds. While we demonstrate that integrin engagement is the primary driver of network formation in these materials, introducing adhesive microgels loaded with heparin nanoparticles leads to the formation of vascular tubes after 3 days in culture. We then show in vivo that this unique scaffold formulation enhances vessel maturation in a wound healing model and instructs differential vascular development in the tumor microenvironment. Taken together, this work determines the optimal microstructure and ligand presentation within MAP scaffolds that leads to vascular constructs in vitro and facilitates vessel formation in vivo.
The details of the motivation, methods, analysis, and results can be found in our publication (DOI 10.1002/adfm.202400567)
DOI: 10.15468/dl.mrgqeg
title: Occurrence Download

description: A dataset containing 45180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Nyctereutes procyonoides (Gray, 1834)"
 ]
}

 The dataset includes 45180 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015013-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive6699.20250331.9.3
title: Apilactobacillus ozensis (Kawasaki et al. 2011) Zheng et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6699.20251217.10
title: Apilactobacillus ozensis (Kawasaki et al. 2011) Zheng et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6700.20250331.9.3
title: Lactobacillus gigeriorum Cousin et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6700.20251217.10
title: Lactobacillus gigeriorum Cousin et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0074750.10fu
title: SH0074750.10FU

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: 10.13145/bacdive6701.20250331.9.3
title: Lacticaseibacillus saniviri (Oki et al. 2012) Zheng et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0074751.10fu
title: SH0074751.10FU

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: 10.13145/bacdive6701.20251217.10
title: Lacticaseibacillus saniviri (Oki et al. 2012) Zheng et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6702.20250331.9.3
title: Lentilactobacillus senioris (Oki et al. 2012) Zheng et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0074752.10fu
title: SH0074752.10FU

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: 10.13145/bacdive6702.20251217.10
title: Lentilactobacillus senioris (Oki et al. 2012) Zheng et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6703.20250331.9.3
title: Lacticaseibacillus nasuensis (Cai et al. 2012) Zheng et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0074753.10fu
title: SH0074753.10FU

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: 10.13145/bacdive6703.20251217.10
title: Lacticaseibacillus nasuensis (Cai et al. 2012) Zheng et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0074754.10fu
title: SH0074754.10FU

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: 10.13145/bacdive6704.20250331.9.3
title: Lacticaseibacillus brantae (Volokhov et al. 2012) Zheng et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6704.20251217.10
title: Lacticaseibacillus brantae (Volokhov et al. 2012) Zheng et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0074755.10fu
title: SH0074755.10FU

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: 10.13145/bacdive6705.20250331.9.3
title: Lactobacillus hominis Cousin et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive6705.20251217.10
title: Lactobacillus hominis Cousin et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0074756.10fu
title: SH0074756.10FU

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: 10.13145/bacdive6706.20250331.9.3
title: Legionella bozemanae Brenner et al. 1980

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.