cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57992/nmrxiv.s728
title: Pyrene

description: This dataset contains NMR spectra obtained for the sample -Pyrene date: {"year":2024,"month":9,"day":10} isFt: false name: JE-pyrene_CARBON-1-1.jdf type: NMR SPECTRUM isFid: true title: title: JE-pyrene / comment:  / author:delta / site: Carleton-ECZ400S author: delta nucleus: 13C solvent: CHLOROFORM-D metadata: [object Object] dimension: 1 isComplex: true probeName: 2774 experiment: 1d sampleName: JE-pyrene temperature: 296.34999999999997 baseFrequency: 100.54933803934405 digitalFilter: 19.905616345694735 fieldStrength: 9.389766 numberOfScans: 42 pulseSequence: carbon.jxp spectralWidth: 314.0070760448474 numberOfPoints: 31416 relaxationTime: 2 acquisitionMode: 0 acquisitionTime: 0.9952271999999999 frequencyOffset: 10054.933803934406 originFrequency: 100.52530332516541 pulseStrength90: 19952.114924181966 spectralWidthClipped: 251145614.1326775 date: {"year":2024,"month":9,"day":9} isFt: false name: JE-pyrene_PROTON-1-1.jdf type: NMR SPECTRUM isFid: true title: title: JE-pyrene / comment:  / author:delta / site: Carleton-ECZ400S author: delta nucleus: 1H solvent: CHLOROFORM-D metadata: [object Object] dimension: 1 isComplex: true probeName: 2774 experiment: 1d sampleName: JE-pyrene temperature: 296.34999999999997 baseFrequency: 399.79256015247455 digitalFilter: 19.655594442035753 fieldStrength: 9.389766 numberOfScans: 20 pulseSequence: single_pulse.jxp spectralWidth: 18.790279460272032 numberOfPoints: 29984 relaxationTime: 1 acquisitionMode: 0 acquisitionTime: 3.99147008 frequencyOffset: 1998.9628007623728 originFrequency: 399.78219837825003 pulseStrength90: 30826.140567200993 spectralWidthClipped: 15031833.96490273
DOI: 10.57992/nmrxiv.s728.d3590
title: Pyrene[JE-pyrene_CARBON-1-1.jdf]

description: JE-pyrene_CARBON-1-1.jdf
DOI: 10.57992/nmrxiv.s728.d3591
title: Pyrene[JE-pyrene_PROTON-1-1.jdf]

description: JE-pyrene_PROTON-1-1.jdf
DOI: 10.15468/dl.a56pge
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haematopus ostralegus Linnaeus, 1758",
 "Year is 33",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007746-241107131044228/datasets/export for details.
DOI: 10.15468/dl.8ppp5b
title: Occurrence Download

description: A dataset containing 125212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Türkiye",
 "Geometry POLYGON((11.77852 28.63583,68.02852 28.63583,68.02852 51.13583,11.77852 51.13583,11.77852 28.63583))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 1500-2024"
 ]
}

 The dataset includes 125212 records from 215 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007727-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j5uvt4
title: Occurrence Download

description: A dataset containing 1350 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Picea omorika (Pancic) Purk."
 ]
}

 The dataset includes 1350 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007749-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rfwpyv
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Türkiye, Greece)",
 "TaxonKey is Crocus chrysanthus (Herb.) Herb."
 ]
}

 The dataset includes 164 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007751-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywyeth
title: Occurrence Download

description: A dataset containing 1525 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Boana albomarginata (Spix, 1824))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1525 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007752-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6j92ty
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vanessa atalanta (Linnaeus, 1758)",
 "Year is 33",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007754-241107131044228/datasets/export for details.
DOI: 10.15468/dl.bzwq8r
title: Occurrence Download

description: A dataset containing 700 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hemitriccus kaempferi (Zimmer, 1953))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 700 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007753-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4w2h3f
title: Occurrence Download

description: A dataset containing 59165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Baccharis halimifolia L., Baccharis halimifolia Moench, Baccharis salicifolia (Ruiz & Pav.) Pers., Baccharis salicifolia Nutt., Bassia scoparia (L.) A.J.Scott, Bassia scoparia (L.) Voss, Ballia scoparia (J.D.Hooker & Harvey) Harvey, Bidens aurea (Aiton) Sherff, Bidens bipinnata L., Bidens bipinnata (Cav.) Baill.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 59165 records from 701 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007750-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7274/25587705
title: Nucleation in Nonequilibrium Hypersonic Flow: Theory and Optical Diagnostics

description: The operating range of supersonic and hypersonic ground facilities is often limited at low temperature by the liquefaction of the working gas through the nucleation of molecular clusters. Because properties of molecular clusters differ appreciably from those of bulk liquids, accurate evaluation of the cluster free energy is the primary challenge in nucleation modeling. In hypersonic facilities in which nucleation occurs at high stagnation temperature, the flow is often in a thermal nonequilibrium state and vibrationally excited molecules may interact with nucleating molecular clusters.
A semi-empirical density gradient theory (SEDGT) is developed by regarding the molecular cluster as an inhomogeneous fluid, with free energy density a function of both the local number density and the magnitude of the density gradient. The unknown parameter of the model is obtained in a self-consistent manner by comparison to experimental values for surface tension and nucleation rate. The cluster density profile, free energy barrier, and surface tension are then evaluated.
Reduced order models for the cluster free energy barrier and nucleation rate are reviewed, and the quasi-steady nucleation rate of molecular clusters in a supersaturated gas is presented. The set of kinetic equations describing the growth and decay of molecular clusters are written and amalgamated for numerical solution. Models for cluster growth are coupled to the conservation of mass, momentum, and energy for a condensable ideal gas. 
Simulation results for the nucleation of N2 and CO2 in supersonic and hypersonic nozzles are compared to experimental data obtained from available literature and from experiments conducted at a Mach 4 blowdown wind tunnel using laser Rayleigh scattering gas density measurements. It is found that the modeled condensation onset of N2 using SEDGT is in good agreement with experiment. Interaction of molecular clusters with vibrationally excited molecules in a nonequilibrium population are considered in predictions of condensation onset for large quiet Mach 6 and Mach 10 tunnels under development. 
A coherent anti-Stokes Raman spectroscopy (CARS) diagnostic setup is developed for the study of nucleation in thermal nonequilibrium flow. Low vibrational temperature measurements of nitrogen are performed in Mach 2 flow by collinear CARS using a noncollinear optical parametric oscillator with narrow bandwidth Stokes beam and nonresonant background suppression. In Mach 2 flow with a stagnation temperature of 800 K, best-fit synthetic nonequilibrium spectra indicate a vibrational temperature of 790 K, which is about 340 K higher than the rotational temperature, indicating thermal nonequilibrium.
DOI: 10.15468/dl.ey3ph8
title: Occurrence Download

description: A dataset containing 316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rattus exulans (Peale, 1848)",
 "Country is United States of America",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 316 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007755-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7274/25587705.v1
title: Nucleation in Nonequilibrium Hypersonic Flow: Theory and Optical Diagnostics

description: The operating range of supersonic and hypersonic ground facilities is often limited at low temperature by the liquefaction of the working gas through the nucleation of molecular clusters. Because properties of molecular clusters differ appreciably from those of bulk liquids, accurate evaluation of the cluster free energy is the primary challenge in nucleation modeling. In hypersonic facilities in which nucleation occurs at high stagnation temperature, the flow is often in a thermal nonequilibrium state and vibrationally excited molecules may interact with nucleating molecular clusters.
A semi-empirical density gradient theory (SEDGT) is developed by regarding the molecular cluster as an inhomogeneous fluid, with free energy density a function of both the local number density and the magnitude of the density gradient. The unknown parameter of the model is obtained in a self-consistent manner by comparison to experimental values for surface tension and nucleation rate. The cluster density profile, free energy barrier, and surface tension are then evaluated.
Reduced order models for the cluster free energy barrier and nucleation rate are reviewed, and the quasi-steady nucleation rate of molecular clusters in a supersaturated gas is presented. The set of kinetic equations describing the growth and decay of molecular clusters are written and amalgamated for numerical solution. Models for cluster growth are coupled to the conservation of mass, momentum, and energy for a condensable ideal gas. 
Simulation results for the nucleation of N2 and CO2 in supersonic and hypersonic nozzles are compared to experimental data obtained from available literature and from experiments conducted at a Mach 4 blowdown wind tunnel using laser Rayleigh scattering gas density measurements. It is found that the modeled condensation onset of N2 using SEDGT is in good agreement with experiment. Interaction of molecular clusters with vibrationally excited molecules in a nonequilibrium population are considered in predictions of condensation onset for large quiet Mach 6 and Mach 10 tunnels under development. 
A coherent anti-Stokes Raman spectroscopy (CARS) diagnostic setup is developed for the study of nucleation in thermal nonequilibrium flow. Low vibrational temperature measurements of nitrogen are performed in Mach 2 flow by collinear CARS using a noncollinear optical parametric oscillator with narrow bandwidth Stokes beam and nonresonant background suppression. In Mach 2 flow with a stagnation temperature of 800 K, best-fit synthetic nonequilibrium spectra indicate a vibrational temperature of 790 K, which is about 340 K higher than the rotational temperature, indicating thermal nonequilibrium.
DOI: 10.7274/25602492
title: Optimal Kinematic Synthesis via Saddle Graphs Computed by Random Monodromy Loops

description: This dissertation addresses the challenge of dimensional synthesis in mechanisms used in machine design and robotics through the development of an optimization framework leveraging numerical algebraic geometry. Our approach aims to globally optimize nonlinear objective functions derived from design requirements, necessitating the computation of all critical points, including the global minimum. To achieve this, we introduce innovative heuristic algorithms within numerical continuation techniques, which we refer to as “random monodromy loops”, enabling the approximation of critical points and root-finding in nonlinear systems. This method extends beyond mechanisms to various applications, including motion analysis of robotic systems and nonlinear systems in diverse fields.
To overcome scalability limitations inherent in existing techniques, we propose iterative root accumulation strategies utilizing monodromy, a phenomenon governing the evolution of roots in parameterized systems. Our approach, distinguished by employing random processes, probabilistically obtains solutions and employs statistical models to estimate solution feasibility. Through various examples, we demonstrate the algorithm's effectiveness in discovering critical points of high-dimensional nonlinear objective functions.
The ability to comprehensively address non-convex optimization problems has far-reaching implications in scientific and engineering domains. Our research pioneers a novel approach to visualize high-dimensional loss landscapes, termed “saddle graphs”, facilitating a deeper understanding of optimization functions. Further, we employ manifold learning techniques to reconstruct and visualize function landscapes, including those of machine learning loss functions.
Building on this foundation, we develop customized tools tailored for the design and analysis of planar and spatial mechanisms in diverse applications, including humanoid fingers, legged robots, material handling grippers, deployable mechanisms, and cable-driven systems. Notably, our approach mitigates local minima traps, enabling a more expansive exploration of design candidates.
In summary, this thesis presents a significant advancement in optimization framework development, with implications spanning multiple domains and offering promising avenues for future research and application.
DOI: 10.7274/25602492.v1
title: Optimal Kinematic Synthesis via Saddle Graphs Computed by Random Monodromy Loops

description: This dissertation addresses the challenge of dimensional synthesis in mechanisms used in machine design and robotics through the development of an optimization framework leveraging numerical algebraic geometry. Our approach aims to globally optimize nonlinear objective functions derived from design requirements, necessitating the computation of all critical points, including the global minimum. To achieve this, we introduce innovative heuristic algorithms within numerical continuation techniques, which we refer to as “random monodromy loops”, enabling the approximation of critical points and root-finding in nonlinear systems. This method extends beyond mechanisms to various applications, including motion analysis of robotic systems and nonlinear systems in diverse fields.
To overcome scalability limitations inherent in existing techniques, we propose iterative root accumulation strategies utilizing monodromy, a phenomenon governing the evolution of roots in parameterized systems. Our approach, distinguished by employing random processes, probabilistically obtains solutions and employs statistical models to estimate solution feasibility. Through various examples, we demonstrate the algorithm's effectiveness in discovering critical points of high-dimensional nonlinear objective functions.
The ability to comprehensively address non-convex optimization problems has far-reaching implications in scientific and engineering domains. Our research pioneers a novel approach to visualize high-dimensional loss landscapes, termed “saddle graphs”, facilitating a deeper understanding of optimization functions. Further, we employ manifold learning techniques to reconstruct and visualize function landscapes, including those of machine learning loss functions.
Building on this foundation, we develop customized tools tailored for the design and analysis of planar and spatial mechanisms in diverse applications, including humanoid fingers, legged robots, material handling grippers, deployable mechanisms, and cable-driven systems. Notably, our approach mitigates local minima traps, enabling a more expansive exploration of design candidates.
In summary, this thesis presents a significant advancement in optimization framework development, with implications spanning multiple domains and offering promising avenues for future research and application.
DOI: 10.15468/dl.5ebr93
title: Occurrence Download

description: A dataset containing 3420 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 1220.0-1000000.0",
 "TaxonKey is Paulownia tomentosa (Thunb.) Steud."
 ]
}

 The dataset includes 3420 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007756-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7274/25604616
title: Robust High-Order Implicit Shock Tracking Solvers for Shock Dominated Flows

description: This dissertation enhances the High-Order Implicit Shock Tracking (HOIST) method, a computational technique that addresses the challenges posed by shocks and discontinuities in high-speed flow simulations. Traditional high-order numerical methods, while accurate, struggle in the presence of shocks, often requiring complex parameter tuning or losing accuracy due to shock misalignment. HOIST represents an advancement by implicitly aligning mesh elements with discontinuities through an optimization process, thus eliminating the need for explicitly generating shock-aligned meshes. Significant improvements are introduced that include the development of a specialized sequential quadratic programming optimization solver which incorporates robustness measures to effectively handle complex shock interactions, such as shock reflections. This solver enhances the adaptability and accuracy of the HOIST method across various flow scenarios without extensive user intervention. A notable innovation is the creation of a specialized HOIST framework designed for "many-query" analyses involving parametrized shocks. This framework leverages the inherent capabilities of the HOIST method to efficiently explore parameter spaces, facilitating optimization, uncertainty quantification, and extensive parameter sweeps, providing capabilities not available in traditional nonlinear stabilization methods. The dissertation also extends the applicability of the HOIST method to viscous flow scenarios. It introduces strategies such as residual scaling and viscosity continuation to manage viscous shocks and avoid extensive mesh distortion. Additionally, it tackles the challenge of curved shocks with a novel mesh parametrization technique that controls element curvature, enhancing the method's overall robustness and solution quality. In summary, these advancements make the HOIST method a highly effective and robust tool for analyzing complex fluid dynamics problems involving shocks, significantly enhancing its efficiency, applicability, and accuracy.
DOI: 10.7274/25604616.v1
title: Robust High-Order Implicit Shock Tracking Solvers for Shock Dominated Flows

description: This dissertation enhances the High-Order Implicit Shock Tracking (HOIST) method, a computational technique that addresses the challenges posed by shocks and discontinuities in high-speed flow simulations. Traditional high-order numerical methods, while accurate, struggle in the presence of shocks, often requiring complex parameter tuning or losing accuracy due to shock misalignment. HOIST represents an advancement by implicitly aligning mesh elements with discontinuities through an optimization process, thus eliminating the need for explicitly generating shock-aligned meshes. Significant improvements are introduced that include the development of a specialized sequential quadratic programming optimization solver which incorporates robustness measures to effectively handle complex shock interactions, such as shock reflections. This solver enhances the adaptability and accuracy of the HOIST method across various flow scenarios without extensive user intervention. A notable innovation is the creation of a specialized HOIST framework designed for "many-query" analyses involving parametrized shocks. This framework leverages the inherent capabilities of the HOIST method to efficiently explore parameter spaces, facilitating optimization, uncertainty quantification, and extensive parameter sweeps, providing capabilities not available in traditional nonlinear stabilization methods. The dissertation also extends the applicability of the HOIST method to viscous flow scenarios. It introduces strategies such as residual scaling and viscosity continuation to manage viscous shocks and avoid extensive mesh distortion. Additionally, it tackles the challenge of curved shocks with a novel mesh parametrization technique that controls element curvature, enhancing the method's overall robustness and solution quality. In summary, these advancements make the HOIST method a highly effective and robust tool for analyzing complex fluid dynamics problems involving shocks, significantly enhancing its efficiency, applicability, and accuracy.
DOI: 10.15468/dl.etn5f5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polyommatus icarus (von Rottemburg, 1775)",
 "Year is 33",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007758-241107131044228/datasets/export for details.
DOI: 10.15468/dl.mgwdqs
title: Occurrence Download

description: A dataset containing 700 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hemitriccus kaempferi (Zimmer, 1953))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 700 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007757-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.