cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18347788
title: Definition of Quantum Space in the CRVD Framework

description: quantum behavior fundamentally emerges from the localized instability and non-equilibrium nature of volumetric energy gradients within the underlying spatial substrate. This instability manifests when the local density and spatial variation of energy ($\rho_E$) are sufficiently high such that the spatial structure resists immediate homogenization. Therefore, quantum space is defined by the presence of non-zero, time-dependent volumetric energy gradients, which inherently dictate non-classical correlations and interactions.
DOI: 10.5281/zenodo.18347787
title: Definition of Quantum Space in the CRVD Framework

description: quantum behavior fundamentally emerges from the localized instability and non-equilibrium nature of volumetric energy gradients within the underlying spatial substrate. This instability manifests when the local density and spatial variation of energy ($\rho_E$) are sufficiently high such that the spatial structure resists immediate homogenization. Therefore, quantum space is defined by the presence of non-zero, time-dependent volumetric energy gradients, which inherently dictate non-classical correlations and interactions.
DOI: 10.15468/dl.5tdrmv
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agasyllis latifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 41 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006765-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j2m2yv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.27508 26.156167, 89.196856 26.150589, 89.12057900000001 26.133996, 89.048148 26.106801, 88.98136100000001 26.069679, 88.92187300000001 26.023554, 88.871152 25.969571, 88.83044200000001 25.909069, 88.800737 25.843546, 88.782751 25.774622, 88.776909 25.703999, 88.783332 25.633417, 88.801841 25.564612, 88.831962 25.499274, 88.872939 25.439006, 88.92375199999999 25.385281, 88.983148 25.339415, 89.049668 25.302526, 89.121683 25.275516, 89.197436 25.259042, 89.27508 25.253505, 89.35272399999999 25.259042, 89.428477 25.275516, 89.50049199999999 25.302526, 89.56701200000001 25.339415, 89.626408 25.385281, 89.677221 25.439006, 89.718198 25.499274, 89.748319 25.564612, 89.766828 25.633417, 89.773251 25.703999, 89.767409 25.774622, 89.74942299999999 25.843546, 89.719718 25.909069, 89.679008 25.969571, 89.628287 26.023554, 89.568799 26.069679, 89.50201199999999 26.106801, 89.429581 26.133996, 89.35330399999999 26.150589, 89.27508 26.156167))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006766-260120142942310/datasets/export for details.
DOI: 10.15468/dl.wjsbsy
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Helichrysum goetzeanum"
 ]
}

 The dataset includes 21 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006767-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17623391
title: Alignment and sequence data for dimensionality of protein sequence space project

description: The included datasets:



Vertebrates dataset - ncbi_vertebrates_data.zip

- Amino acid alignments

- Nucleotide alignments for dN/dS calculation

- Raw amino acid sequences of sample 616 protein families used for pairwise alignments

(unlike other datasets can't be obtained by removing the gaps from alignments due to use of

MACSE for codon alignment)

- Species annotation file for sequence IDs


Enterobacterales dataset

- Amino acid alignments

- Nucleotide alignments for dN/dS calculation 

- Species annotation file for sequence IDs


Gammaproteobacteria dataset

- Nucleotide alignments for dN/dS calculation



For more information, see https://github.com/oist/sequence-space-dimension.
DOI: 10.5281/zenodo.18336164
title: Alignment and sequence data for dimensionality of protein sequence space project

description: The included datasets:



Vertebrates dataset - ncbi_vertebrates_data.zip

- Amino acid alignments

- Nucleotide alignments for dN/dS calculation

- Raw amino acid sequences of sample 616 protein families used for pairwise alignments

(unlike other datasets can't be obtained by removing the gaps from alignments due to use of

MACSE for codon alignment)

- Species annotation file for sequence IDs


Enterobacterales dataset

- Amino acid alignments

- Nucleotide alignments for dN/dS calculation 

- Species annotation file for sequence IDs


Gammaproteobacteria dataset

- Nucleotide alignments for dN/dS calculation



For more information, see https://github.com/oist/sequence-space-dimension.
DOI: 10.5281/zenodo.18340220
title: Sources Coded for Risk/Benefit Perspectives on Foundation Model Data Transparency

description: This document consists of the corpus of sources examined for sentiment about foundation model data transparency:

Morgan Klaus Scheuerman, Wiebke Hutiri, Aida Rahmattalabi, Victoria Matthews, Alice Xiang, and Jerone T. A. Andrews. 2026. Treading the Transparency Tightrope: A Taxonomy of Risks and Benefits of Foundation Model Data Transparency for Transparency Advocates. In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI ’26), April 13–17, 2026, Barcelona, Spain. ACM, New York, NY, USA, 43 pages. https://doi.org/10.1145/3772318.3790364
DOI: 10.5281/zenodo.18340221
title: Sources Coded for Risk/Benefit Perspectives on Foundation Model Data Transparency

description: This document consists of the corpus of sources examined for sentiment about foundation model data transparency:

Morgan Klaus Scheuerman, Wiebke Hutiri, Aida Rahmattalabi, Victoria Matthews, Alice Xiang, and Jerone T. A. Andrews. 2026. Treading the Transparency Tightrope: A Taxonomy of Risks and Benefits of Foundation Model Data Transparency for Transparency Advocates. In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI ’26), April 13–17, 2026, Barcelona, Spain. ACM, New York, NY, USA, 43 pages. https://doi.org/10.1145/3772318.3790364
DOI: 10.5878/002350
title: The National SOM Survey 1998
title: Den nationella SOM-undersökningen 1998
title: Riks-SOM 1998

description: Since 1986 the SOM Institute has been carrying out an annual nation-wide survey of Swedish opinions. This is accordingly the thirteenth survey in this series. The SOM Institute is a collaboration between three departments at the University of Gothenburg: the Institute for Journalism and Mass Communication, the Department of Political Science, and the School of Public Administration. The 1998 survey differs from the earlier ones since it includes two nation representative samples and uses two different mail questionnaires. One of the questionnaires mainly deals with questions on politics, economy and working life, while the other mainly deals with media, culture and health. One third of the questions asked in the two questionnaires are common for both samples, for example questions about media habits, political attitudes, leisure activities, and social background.

Purpose:
The main purpose is to establish time series that enable researchers to analyse how various changes in society affect people's attitudes and behaviour.

The SOM Institute also has an online tool for data analysis, where you can work with data from the national SOM surveys directly in your web browser. You can find it at https://som-institutet.se/dataanalys
description: Detta är den trettonde undersökningen i serien Riks-SOM, en nationell frågeundersökning med syfte att kartlägga den svenska allmänhetens vanor och attityder på temat samhälle, opinioner och medier.

Riks-SOM 1998 var den första SOM-undersökning som genomfördes som två undersökningar med två representativa urval och två olika formulär, där datainsamlingarna genomfördes parallellt och under identiska förhållanden. De båda formulären skiljer sig något åt i det att tyngdpunkten i Riks-1 ligger på politik och samhälle, medan Riks-2 har en tonvikt på frågor om medier, kultur och livsstil. En tredjedel av frågor är gemensamma för båda frågeformulären och kan därmed bearbetas med dubbel urvalsstorlek.
 
I Riks-SOM 1998 omfattar båda formulären sju olika frågeområden. Båda formulären omfattar frågeområdena: massmedier; politik och samhälle; fritid; samt bakgrundsfrågor. Politikformuläret (Riks-1) innehåller även: Sveriges förhållande till omvärlden; energi, kärnkraft, bilism och miljö; samt medievanor. Medieformuläret (Riks-2) tar också upp: hälsa och hälsorisker; radio, tv och andra medier; samt bibliotek.

Syfte:
Huvudsyftet är att etablera tidsserier som gör det möjligt att analysera hur olika samhällsförändringar påverkar människors attityder och beteenden.

SOM-institutet har även ett onlineverktyg för dataanalys, där du kan arbeta med data från de nationella SOM-undersökningarna direkt i din webbläsare. Du hittar det på https://som-institutet.se/dataanalys
DOI: 10.5878/000359
title: The National SOM Survey 1998
title: Den nationella SOM-undersökningen 1998
title: Riks-SOM 1998

description: Since 1986 the SOM Institute has been carrying out an annual nation-wide survey of Swedish opinions. This is accordingly the thirteenth survey in this series. The SOM Institute is a collaboration between three departments at the University of Gothenburg: the Institute for Journalism and Mass Communication, the Department of Political Science, and the School of Public Administration. The 1998 survey differs from the earlier ones since it includes two nation representative samples and uses two different mail questionnaires. One of the questionnaires mainly deals with questions on politics, economy and working life, while the other mainly deals with media, culture and health. One third of the questions asked in the two questionnaires are common for both samples, for example questions about media habits, political attitudes, leisure activities, and social background.

Purpose:
The main purpose is to establish time series that enable researchers to analyse how various changes in society affect people's attitudes and behaviour.

The SOM Institute also has an online tool for data analysis, where you can work with data from the national SOM surveys directly in your web browser. You can find it at https://som-institutet.se/dataanalys
description: Detta är den trettonde undersökningen i serien Riks-SOM, en nationell frågeundersökning med syfte att kartlägga den svenska allmänhetens vanor och attityder på temat samhälle, opinioner och medier.

Riks-SOM 1998 var den första SOM-undersökning som genomfördes som två undersökningar med två representativa urval och två olika formulär, där datainsamlingarna genomfördes parallellt och under identiska förhållanden. De båda formulären skiljer sig något åt i det att tyngdpunkten i Riks-1 ligger på politik och samhälle, medan Riks-2 har en tonvikt på frågor om medier, kultur och livsstil. En tredjedel av frågor är gemensamma för båda frågeformulären och kan därmed bearbetas med dubbel urvalsstorlek.
 
I Riks-SOM 1998 omfattar båda formulären sju olika frågeområden. Båda formulären omfattar frågeområdena: massmedier; politik och samhälle; fritid; samt bakgrundsfrågor. Politikformuläret (Riks-1) innehåller även: Sveriges förhållande till omvärlden; energi, kärnkraft, bilism och miljö; samt medievanor. Medieformuläret (Riks-2) tar också upp: hälsa och hälsorisker; radio, tv och andra medier; samt bibliotek.

Syfte:
Huvudsyftet är att etablera tidsserier som gör det möjligt att analysera hur olika samhällsförändringar påverkar människors attityder och beteenden.

SOM-institutet har även ett onlineverktyg för dataanalys, där du kan arbeta med data från de nationella SOM-undersökningarna direkt i din webbläsare. Du hittar det på https://som-institutet.se/dataanalys
DOI: 10.15468/dl.f2admh
title: Occurrence Download

description: A dataset containing 4799 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lampropeltis calligaster"
 ]
}

 The dataset includes 4799 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006768-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s9jppk
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Taraxacum ancoriferum, Taraxacum austrinum, Taraxacum bavaricum, Taraxacum dentatum, Taraxacum frisicum, Taraxacum geminidentatum, Taraxacum alsaticum, Taraxacum heleocharis, Taraxacum hollandicum, Taraxacum madidum, Taraxacum memorabile, Taraxacum paucilobum, Taraxacum pauckertianum, Taraxacum pollichii, Taraxacum pseudopalustre, Taraxacum spurium, Taraxacum spurium, Taraxacum trilobifolium, Taraxacum turfosum, Taraxacum vindobonense)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 22 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006770-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mdumua
title: Occurrence Download

description: A dataset containing 3751 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "Continent is Asia",
 "Country is one of (India, Nepal, Sri Lanka, Bhutan)",
 "OccurrenceStatus is Present",
 "TaxonKey is Elephantidae"
 ]
}

 The dataset includes 3751 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006769-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18167/dvn1/egjxvl
title: Data for 'Beyond climate change: the role of integrated soil fertility management for sustaining future maize yield in sub-Saharan Africa'

description: The dataset contains 15 soil crop model i) input and outputs on long-term experimental data on maize growth and soil organic carbon and ii) climate change and integrated soil fertility management simulation outputs at four sites in sub-Saharan Africa (2026)
description: CONTAM Wheather File
DOI: 10.15468/dl.v4kdp7
title: Occurrence Download

description: A dataset containing 586 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lutra lutra",
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2022-2025"
 ]
}

 The dataset includes 586 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006771-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.82261/1920-1v67
title: Im Dialog mit der Antike. Inscriptiones Antiquae
DOI: 10.14457/tu.the.2025.62
title: Automating grading approach for open-ended stem answers using LLM

description: AI has become increasingly important in various aspects of life, including education, where it can potentially alleviate the burden on teachers, particularly in grading. Teachers often face heavy workloads, and traditional grading processes can introduce human judgment inconsistencies that affect the fairness of assessments. This research explores the effectiveness of AI-based grading systems in educational contexts, focusing on critical performance metrics such as accuracy, recall, precision, F1 score, RMSE, and adjacent agreement rate. The study demonstrates the strong performance of the Rule-Based Model, which achieved perfect recall (100%) and a 49.93% adjacent agreement rate, illustrating its ability to minimize false negatives. This is crucial for educational assessments, where false negatives can misrepresent a student's true abilities and undermine trust in the grading system. The Rule-Based Model’s accuracy of 74.72% closely aligns with typical human grader performance, showing that AI grading can achieve a level of consistency comparable to that of human evaluators. However, the research also uncovers several areas for improvement, including enhancing grading accuracy, refining partial credit assignment, and developing better methods for evaluating reasoning. Additionally, there is a need to adapt AI models for non-English educational settings, particularly in Thailand, where local linguistic and cultural differences could impact AI model performance. The theoretical implications of this research highlight the importance of developing a more comprehensive framework for evaluating AI grading systems—one that emphasizes fairness, transparency, and cultural sensitivity. On a practical level, the findings suggest that further improvements in AI models are necessary to ensure their accuracy, scalability, and alignment with local educational systems. Future research should focus on refining AI grading systems for open-ended STEM assessments, addressing biases, and ensuring that AI models are adapted to the linguistic and cultural contexts of different regions. Such efforts will helpcreate more reliable, equitable, and scalable AI-driven grading systems for global educational systems.
DOI: 10.14457/tu.the.2025.63
title: Optimizing inventory management for specialized medications: a case study of Thammasat University Hospital

description: This study developed and applied a continuous-review inventory model (EOQ–ROP–SS) to improve management of specialized pharmaceuticals at Thammasat University Hospital. The model was implemented in a spreadsheet and used historical transaction records to estimate demand parameters, compute optimal order quantities, safety stock, and reorder points, and simulate daily inventory under a fixed lead-time assumption. A 95% service level was used so observed shortages reflect the statistical allowance rather than model failure. The model was tested on three representative high-cost items with differing demand and lead-time characteristics. Compared with current hospital practice, the EOQ policy systematically reduced total annual inventory cost across the tested items while maintaining shortage incidence within the predefined service-level tolerance. The results conformed to inventory theory: average inventory declined, ordering frequency increased, and overall cost savings were achieved. The study delivers a practical decision-support spreadsheet, an implementation roadmap for hospital procurement, and recommendations for phased adoption and further research on lead-time variability and explicit shortage valuation.
DOI: 10.14457/tu.the.2025.64
title: Flow shop scheduling to minimize total flow time: a case study of t-shirt production

description: This project addresses the Flow Shop Scheduling Problem with the objective of minimizing total flow time in a multi-stage garment production system. A Mixed Integer Linear Programming (MILP) formulation was developed to capture machine processing times, precedence relationships, and sequencing constraints. The model was implemented and solved using Microsoft Excel with OpenSolver. Instead of focusing on fixed instances or expanding production stages, the study applies a single MILP model to three distinct problem sets, each representing different job configurations within the same manufacturing framework. These variations simulate realistic production diversity—such as differences in garment sizes—without altering the station structure. For each problem set, OpenSolver is used to determine the optimal job sequence, evaluate total flow time, and assess solver performance in terms of solution time and scalability. Gantt charts are employed to visualize representative schedules and support interpretation of the results. The findings indicate that the MILP formulation combined with OpenSolver can effectively minimize total flow time while remaining adaptable to varied job characteristics. This approach demonstrates the practical applicability of mathematical programming to garment production scheduling and highlights the computational boundaries of using OpenSolver for increasingly complex job configurations.
DOI: 10.14457/tu.the.2025.65
title: Effect of image augmentation and proportional on multiple fundus image modalities for glaucoma prediction

description: This study develops an end-to-end pipeline for glaucoma prediction that works across both Standard View and Ultra-Wide Field fundus modalities. Modality is identified via a simple JPEG file-size rule and then a brightness-guided optic-disc localizer produces a centered optic disc cropping; across 1,300 images (714 glaucoma, 586 non-glaucoma), cropping succeeded on 1,281 images (98.54%), with failures occurring only in Ultra-Wide Field.We trained 42 models with each architecture: AlexNet, ResNet152, and Vision Transformers (ViT-B/16 and ViT-B/32) under consistent training settings, resulting in a total of 168 models, while systematically varying crop sizes (100%, 60%, 40%, 35%, and 30%) and augmentation strategies.Cropping to one-third of the original side (30–40%) consistently improves performance (accuracy 0.830–0.843; AUC up to 0.926–0.927) versus the 100% baseline (AUC 0.879), while maintain specificity.Regarding augmentation, one augmentation function per image increases the specificity–sensitivity balance, overlay-multiple augmentation decreases sensitivity/ AUC, and a 1:1 mix of originals with multiple augmentation achieves the best overall stability and scores (Acc 0.836, Sens 0.855, Spec 0.833, AUC 0.919).Finally, architecture matters: ViT-B/16 achieves the highest AUC (0.932) and sensitivity (0.889), ViT-B/32 achieves the highest specificity (0.828), and AlexNet outperforms the much deeper ResNet152 on all headline metrics (AUC 0.927 vs 0.882; Acc 0.839 vs 0.794).Overall, a simple modality split, robust optic disc centered cropping at 35–40%, balanced augmentation, and ViT-B/16 provide an effective, modality independent glaucoma detection pipeline for screening applications.