cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14035170
title: Data Package for "Stories Complicate Things: A Qualitative Analysis of Coding Problems (Un)solved by GitHub"

description: This package is part of the paper "Stories Complicate Things: A Qualitative Analysis of Coding Problems (Un)solved by GitHub Copilot" by Julian Oertel, Jil Klünder and Regina Hebig. It contains unprocessed data, a complete list of codes for coding problems and solutions, and generated images.
DOI: 10.5281/zenodo.14035171
title: Data Package for "Stories Complicate Things: A Qualitative Analysis of Coding Problems (Un)solved by GitHub"

description: This package is part of the paper "Stories Complicate Things: A Qualitative Analysis of Coding Problems (Un)solved by GitHub Copilot" by Julian Oertel, Jil Klünder and Regina Hebig. It contains unprocessed data, a complete list of codes for coding problems and solutions, and generated images.
DOI: 10.5281/zenodo.14268215
title: ЖАНГОВОР ВИЗУАЛ ВОСИТАЛАР ТУШУНЧАСИ ВА УЛАРНИНГ ТАРИХИЙ ТУРЛАРИ
DOI: 10.5281/zenodo.14268216
title: ЖАНГОВОР ВИЗУАЛ ВОСИТАЛАР ТУШУНЧАСИ ВА УЛАРНИНГ ТАРИХИЙ ТУРЛАРИ
DOI: 10.34740/kaggle/dsv/10089706
title: FF | 2024 08 13 | Multi-Modal Dataset [3/3]
DOI: 10.15468/dl.x25z6h
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hypothenemus hampei (Ferrari, 1867)"
 ]
}

 The dataset includes 125 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015003-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18126/qpb3-7246
title: Electron Microscopy and White Light Interferometry Fractography Images of Ti64 Compact Tension Specimens
DOI: 10.15468/dl.wrgx45
title: Occurrence Download

description: A dataset containing 5 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 japonicus var. giganteus F.Schmidt ex Makino, 1909)"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015004-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7274/27906441
title: Asynchronous Optical Sampling for the Investigation of Noble Metal Nanoparticles: Vibrational Dynamics and Heat Dissipation Studies

description: In this thesis, I will describe the technique of Asynchronous Optical Sampling and its use in a variety of experimental spectroscopic methodologies, as well as the results and theories both of and behind these experiments. The primary investigations are focused on the acoustic vibrations of gold nanoplates. These vibrational modes are launched at both external and internal boundaries intrinsic to the systems being investigated. 
For measurements on single structures, the lifetimes of the modes provide invaluable information about the dissipation of the energy in the systems into the environment. Accurate lifetime measurements prove a considerable challenge in conventional ultrafast experiments that rely on mechanical delay stages, something ASOPS avoids in its entirely due to its unique configuration. ASOPS uses a piezo stage internal cavity to regulate its repetition rates, simulating an effect functionally identical to using a mechanical delay stage to change the beam path. Without the influence of the delay stage the measurements are completed on a time scale an order of magnitude shorter than previously with many more points than can feasibly be measured with the traditional technique.
Using ASOPS in this manner the acoustic resonance of the gold nanoparticles was able to not only be investigated but also the heat dissipation of nanowires into a variety of environments. Additionally, ten nanoseconds of temporal range are afforded to the ASOPS technique were with the delay stage that would be equivalent to ten feet of bench space and many hours per scan for any reasonable amount of averaging, completely sidestepped by the variable repetition rates of ASOPS. This temporal range allows for a complete examination of the oscillation from the nanoparticle being investigated. 
The technique has also been utilized by my group to investigate the energy dispersion of nanowires into a series of environments that provide incredible insight into the mechanisms of the heat dissipation.
 ASOPS proves itself exceedingly useful in these and similar studies and this thesis will detail the initial results and examinations of that utility in a pump probe spectroscopic setting, with a focus on vibrational dynamics of gold nano particles and heat dissipation in nanowires.
DOI: 10.7274/27906441.v1
title: Asynchronous Optical Sampling for the Investigation of Noble Metal Nanoparticles: Vibrational Dynamics and Heat Dissipation Studies

description: In this thesis, I will describe the technique of Asynchronous Optical Sampling and its use in a variety of experimental spectroscopic methodologies, as well as the results and theories both of and behind these experiments. The primary investigations are focused on the acoustic vibrations of gold nanoplates. These vibrational modes are launched at both external and internal boundaries intrinsic to the systems being investigated. 
For measurements on single structures, the lifetimes of the modes provide invaluable information about the dissipation of the energy in the systems into the environment. Accurate lifetime measurements prove a considerable challenge in conventional ultrafast experiments that rely on mechanical delay stages, something ASOPS avoids in its entirely due to its unique configuration. ASOPS uses a piezo stage internal cavity to regulate its repetition rates, simulating an effect functionally identical to using a mechanical delay stage to change the beam path. Without the influence of the delay stage the measurements are completed on a time scale an order of magnitude shorter than previously with many more points than can feasibly be measured with the traditional technique.
Using ASOPS in this manner the acoustic resonance of the gold nanoparticles was able to not only be investigated but also the heat dissipation of nanowires into a variety of environments. Additionally, ten nanoseconds of temporal range are afforded to the ASOPS technique were with the delay stage that would be equivalent to ten feet of bench space and many hours per scan for any reasonable amount of averaging, completely sidestepped by the variable repetition rates of ASOPS. This temporal range allows for a complete examination of the oscillation from the nanoparticle being investigated. 
The technique has also been utilized by my group to investigate the energy dispersion of nanowires into a series of environments that provide incredible insight into the mechanisms of the heat dissipation.
 ASOPS proves itself exceedingly useful in these and similar studies and this thesis will detail the initial results and examinations of that utility in a pump probe spectroscopic setting, with a focus on vibrational dynamics of gold nano particles and heat dissipation in nanowires.
DOI: 10.15468/dl.atymvq
title: Occurrence Download

description: A dataset containing 583 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is AUS.9_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ooperipatellus Ruhberg, 1985"
 ]
}

 The dataset includes 583 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015005-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10090111
title: 🇬🇧 Reddit r/CasualUK Subreddit Dataset
DOI: 10.7274/27895872
title: Exploring Human-Like Mathematical Reasoning: Perspectives on Generalizability and Efficiency

description: Mathematical reasoning, a fundamental aspect of human cognition, poses significant challenges for artificial intelligence (AI) systems. Despite recent advancements in natural language processing (NLP) and large language models (LLMs), AI's ability to replicate human-like reasoning, generalization, and efficiency remains an ongoing research challenge. In this dissertation, we address key limitations in MWP solving, focusing on the accuracy, generalization ability and efficiency of AI-based mathematical reasoners by applying human-like reasoning methods and principles.

This dissertation introduces several innovative approaches in mathematical reasoning. First, a numeracy-driven framework is proposed to enhance math word problem (MWP) solvers by integrating numerical reasoning into model training, surpassing human-level performance on benchmark datasets. Second, a novel multi-solution framework captures the diversity of valid solutions to math problems, improving the generalization capabilities of AI models. Third, a customized knowledge distillation technique, termed Customized Exercise for Math Learning (CEMAL), is developed to create tailored exercises for smaller models, significantly improving their efficiency and accuracy in solving MWPs. Additionally, a multi-view fine-tuning paradigm (MinT) is introduced to enable smaller models to handle diverse annotation styles from different datasets, improving their adaptability and generalization. To further advance mathematical reasoning, a benchmark, MathChat, is introduced to evaluate large language models (LLMs) in multi-turn reasoning and instruction-following tasks, demonstrating significant performance improvements. Finally, new inference-time verifiers, Math-Rev and Code-Rev, are developed to enhance reasoning verification, combining language-based and code-based solutions for improved accuracy in both math and code reasoning tasks.

In summary, this dissertation provides a comprehensive exploration of these challenges and contributes novel solutions that push the boundaries of AI-driven mathematical reasoning. Potential future research directions are also discussed to further extend the impact of this dissertation.
DOI: 10.7274/27895872.v1
title: Exploring Human-Like Mathematical Reasoning: Perspectives on Generalizability and Efficiency

description: Mathematical reasoning, a fundamental aspect of human cognition, poses significant challenges for artificial intelligence (AI) systems. Despite recent advancements in natural language processing (NLP) and large language models (LLMs), AI's ability to replicate human-like reasoning, generalization, and efficiency remains an ongoing research challenge. In this dissertation, we address key limitations in MWP solving, focusing on the accuracy, generalization ability and efficiency of AI-based mathematical reasoners by applying human-like reasoning methods and principles.

This dissertation introduces several innovative approaches in mathematical reasoning. First, a numeracy-driven framework is proposed to enhance math word problem (MWP) solvers by integrating numerical reasoning into model training, surpassing human-level performance on benchmark datasets. Second, a novel multi-solution framework captures the diversity of valid solutions to math problems, improving the generalization capabilities of AI models. Third, a customized knowledge distillation technique, termed Customized Exercise for Math Learning (CEMAL), is developed to create tailored exercises for smaller models, significantly improving their efficiency and accuracy in solving MWPs. Additionally, a multi-view fine-tuning paradigm (MinT) is introduced to enable smaller models to handle diverse annotation styles from different datasets, improving their adaptability and generalization. To further advance mathematical reasoning, a benchmark, MathChat, is introduced to evaluate large language models (LLMs) in multi-turn reasoning and instruction-following tasks, demonstrating significant performance improvements. Finally, new inference-time verifiers, Math-Rev and Code-Rev, are developed to enhance reasoning verification, combining language-based and code-based solutions for improved accuracy in both math and code reasoning tasks.

In summary, this dissertation provides a comprehensive exploration of these challenges and contributes novel solutions that push the boundaries of AI-driven mathematical reasoning. Potential future research directions are also discussed to further extend the impact of this dissertation.
DOI: 10.15468/dl.x4jneb
title: Occurrence Download

description: A dataset containing 21880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helicolenus dactylopterus (Delaroche, 1809)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 21880 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015006-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9dnpfp
title: Occurrence Download

description: A dataset containing 292608 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-83.00021 41.91441,-79.02353 42.85709,-79.0476 45.4595,-81.33027 44.91848,-83.14376 42.146,-83.00021 41.91441))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, EN, VU)",
 "PublishingCountry is Canada",
 "StateProvince is Ontario"
 ]
}

 The dataset includes 292608 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015000-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.12770/2a2aa0c5-4054-4a62-a18b-3835b304fe64
title: Mediterranean Sea - Temperature and salinity Historical Data Collection SeaDataCloud V2

description: SDC_MED_DATA_TS_V2 SeaDataCloud Temperature and Salinity data collection for the Mediterranean Sea contains all open access temperature and salinity in situ data retrieved from SeaDataNet infrastructure at the end of July 2019. The data span between -9.25 and 37 degrees of longitude, thus including an Atlantic box and the Marmara Sea. It covers the time period 1900-2019. Data have been quality checked using ODV 5.3.2 software. Quality Flags of anomalous data have been revised using basic QC procedures. The dataset format is ODV binary collections. You can read, analyse and export from the ODV application provided by Alfred Wegener institute at http://odv.awi.de/.For data access please register at http://www.marine-id.org/.
DOI: 10.7274/27910665
title: Standards of Contextual Competence in Aid Work: An Analysis of Job Advertisements

description: The sector of international development and humanitarian assistance (hereinafter the ‘aid sector’) aims to address complex, multi-causal problems in different places around the world. Despite its global pursuit, aid work occurs in a particular time and place. How does the aid sector manage context? I address that question by examining the extent to which the aid sector expects contextual competence from applicants through a content analysis of 384 job advertisements. Context appears in the section of the advertisements specifying the roles and responsibilities of the position being advertised through explicit mentions of ‘context’ or its inflected forms and through implication by the tasks specified in the advertisements. In the section of the advertisements specifying the qualifications expected of an applicant, context appears—with different levels of specificity and to varying degrees of indispensability—in qualifications about experience, knowledge, and language proficiency. I then consider how standards of contextual competence differ according to the type of position being advertised. I find that standards of contextual competence are a matter of position: The highest standard of contextual competence disproportionately appear in advertisements for consultancies and for jobs open exclusively to national candidates.
DOI: 10.7274/27910665.v1
title: Standards of Contextual Competence in Aid Work: An Analysis of Job Advertisements

description: The sector of international development and humanitarian assistance (hereinafter the ‘aid sector’) aims to address complex, multi-causal problems in different places around the world. Despite its global pursuit, aid work occurs in a particular time and place. How does the aid sector manage context? I address that question by examining the extent to which the aid sector expects contextual competence from applicants through a content analysis of 384 job advertisements. Context appears in the section of the advertisements specifying the roles and responsibilities of the position being advertised through explicit mentions of ‘context’ or its inflected forms and through implication by the tasks specified in the advertisements. In the section of the advertisements specifying the qualifications expected of an applicant, context appears—with different levels of specificity and to varying degrees of indispensability—in qualifications about experience, knowledge, and language proficiency. I then consider how standards of contextual competence differ according to the type of position being advertised. I find that standards of contextual competence are a matter of position: The highest standard of contextual competence disproportionately appear in advertisements for consultancies and for jobs open exclusively to national candidates.
DOI: 10.24378/exe.243
title: Non-Gaussian correlations between reflected and transmitted intensity patterns emerging from opaque disordered media (dataset)

description: Raw data (and a Matlab script to read them) for the results presented in "Non-Gaussian correlations between reflected and transmitted intensity patterns emerging from opaque disordered media".
description: The article associated with this dataset is located in ORE at: http://hdl.handle.net/10871/32343
DOI: 10.15468/dl.rk6jms
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diastellopalpus schultzei Gillet, 1927"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015008-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7274/27872508
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.