cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/fysyzdknsk.3
title: A Fully Synthetic Textual Dataset of Student Learning Habits and Preferences Generated Using a Large Language Model

description: This repository contains a fully synthetic textual dataset generated using a large language model (GPT-4 family). The dataset simulates fictional student learning habits, preferences, challenges, and opinions related to online education. No real individuals, surveys, or proprietary data sources were used in the creation of this dataset.

The dataset is intended for research benchmarking, natural language processing (NLP), educational data mining, survey analysis, and machine learning experimentation.
DOI: 10.21233/p3x7-9j78
title: Shagg water chemistry dataset

description: Raw data for the Shagg water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.17632/4c6v8zvcdm.3
title: Saurashtra: An Indo-Aryan Language Dataset

description: Saurashtra (also spelled Sourashtra or Saurashtri) is a low-resource Indo Aryan language primarily spoken by diaspora communities in southern India, with historical roots in the Saurashtra region of Gujarat. This dataset compiles comprehensive linguistic data, including phonology, syntax, and semantics of the Saurashtra language, offering valuable insights into its structure and usage.
DOI: 10.5281/zenodo.18261938
title: Photometric Radial Diagnostics of Hoag's Object from HST/WFPC2 Imaging

description: This dataset provides imaging-based radial photometric diagnostics of Hoag’s Objectderived from archival Hubble Space Telescope (HST) WFPC2 observations.The data products include radial surface-brightness profiles, F606W–F814W colorprofiles, and a diffuse-light proxy defined from the TOTAL/F814W flux ratio,all computed using azimuthally averaged circular annuli.

The dataset accompanies the analysis presented in:“Hoag’s Object as a Highly Relaxed Ring Galaxy: A Testable Modular–InformationalInterpretation with Dark-Matter and IFS Diagnostics” (submitted),and is intended to support reproducibility and independent verification of theimaging-based results.

Only derived products and analysis scripts are included. The original HST imagingdata are publicly available from the MAST archive.

 

Hoag’s Object, ring galaxies, HST, WFPC2, surface photometry,diffuse light, radial profiles
DOI: 10.5281/zenodo.18261937
title: Photometric Radial Diagnostics of Hoag's Object from HST/WFPC2 Imaging

description: This dataset provides imaging-based radial photometric diagnostics of Hoag’s Objectderived from archival Hubble Space Telescope (HST) WFPC2 observations.The data products include radial surface-brightness profiles, F606W–F814W colorprofiles, and a diffuse-light proxy defined from the TOTAL/F814W flux ratio,all computed using azimuthally averaged circular annuli.

The dataset accompanies the analysis presented in:“Hoag’s Object as a Highly Relaxed Ring Galaxy: A Testable Modular–InformationalInterpretation with Dark-Matter and IFS Diagnostics” (submitted),and is intended to support reproducibility and independent verification of theimaging-based results.

Only derived products and analysis scripts are included. The original HST imagingdata are publicly available from the MAST archive.

 

Hoag’s Object, ring galaxies, HST, WFPC2, surface photometry,diffuse light, radial profiles
DOI: 10.21233/2m0z-j275
title: Erin plant macrofossil dataset

description: Raw data for the Erin plant macrofossil dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.17632/w5kx7245sg.1
title: Cross-Border Data Regulation and Export Quality Evidence from China

description: Reproduction of results for submitting papers on Economic Modeling
DOI: 10.17632/9zd4yhkgb3
title: Single-neuron spike trains from macaque prefrontal and secondary somatosensory cortex during a vibrotactile frequency-discrimination working-memory task

description: This repository contains neurophysiological recordings and behavioral variables from two macaque monkeys (RR11 and RR13) performing a vibrotactile frequency-discrimination task. Recordings were obtained from the secondary somatosensory cortex (S2) in RR11, and from both the prefrontal cortex (PFC) and S2 in RR13. On each trial, a first stimulus frequency (f1) and a second stimulus frequency (f2) were presented sequentially, separated by a delay period; the monkey had to compare them and report which frequency was higher. More information is provided in the data description document (README.pdf) included with the dataset.

This dataset is published together with the following manuscript:
• L. Serrano-Fernández, R. Romo, & N. Parga, Early emergence of perceptual biases in the secondary somatosensory cortex, Proc. Natl. Acad. Sci. U.S.A. 122 (52) e2519255122 (2025).

Original publications describing the data are:
• R. Romo, C. D. Brody, A. Hernández, L. Lemus, Neuronal correlates of parametric working memory in the prefrontal cortex. Nature 399, 470–473 (1999).
• R. Romo, A. Hernández, A. Zainos, L. Lemus, C. D. Brody, Neuronal correlates of decision-making in secondary somatosensory cortex. Nat. Neurosci. 5, 1217–1225 (2002).
• C. D. Brody, A. Hernández, A. Zainos, R. Romo, Timing and neural encoding of somatosensory parametric working memory in macaque prefrontal cortex. Cerebral Cortex 13, 1196–1207 (2003).
DOI: 10.17632/9zd4yhkgb3.1
title: Single-neuron spike trains from macaque prefrontal and secondary somatosensory cortex during a vibrotactile frequency-discrimination working-memory task

description: This repository contains neurophysiological recordings and behavioral variables from two macaque monkeys (RR11 and RR13) performing a vibrotactile frequency-discrimination task. Recordings were obtained from the secondary somatosensory cortex (S2) in RR11, and from both the prefrontal cortex (PFC) and S2 in RR13. On each trial, a first stimulus frequency (f1) and a second stimulus frequency (f2) were presented sequentially, separated by a delay period; the monkey had to compare them and report which frequency was higher. More information is provided in the data description document (README.pdf) included with the dataset.

This dataset is published together with the following manuscript:
• L. Serrano-Fernández, R. Romo, & N. Parga, Early emergence of perceptual biases in the secondary somatosensory cortex, Proc. Natl. Acad. Sci. U.S.A. 122 (52) e2519255122 (2025).

Original publications describing the data are:
• R. Romo, C. D. Brody, A. Hernández, L. Lemus, Neuronal correlates of parametric working memory in the prefrontal cortex. Nature 399, 470–473 (1999).
• R. Romo, A. Hernández, A. Zainos, L. Lemus, C. D. Brody, Neuronal correlates of decision-making in secondary somatosensory cortex. Nat. Neurosci. 5, 1217–1225 (2002).
• C. D. Brody, A. Hernández, A. Zainos, R. Romo, Timing and neural encoding of somatosensory parametric working memory in macaque prefrontal cortex. Cerebral Cortex 13, 1196–1207 (2003).
DOI: 10.17632/p2hhnzjnjv
title: Dataset for China's Competitiveness in Electric Vehicles

description: Dataset for China's Competitiveness in Electric Vehicles
DOI: 10.17632/p2hhnzjnjv.1
title: Dataset for China's Competitiveness in Electric Vehicles

description: Dataset for China's Competitiveness in Electric Vehicles
DOI: 10.21233/4928-en81
title: Erin pollen dataset

description: Raw data for the Erin pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.17632/y9cjhmf8rz
title: SinaiU-OMP Dataset: A Curated Histopathological Image Dataset for Oral and Maxillofacial Pathology to Support AI Research

description: The SinaiU-OMD Dataset is a curated collection of 300 anonymized histopathological images representing key oral and maxillofacial lesions, including Normal oral mucosa, Oral Squamous Cell Carcinoma (OSCC), Odontogenic Keratocyst (OKC), Ameloblastoma-Plexiform (AB), and Pleomorphic Adenoma (PA).

Images were acquired from formalin-fixed, paraffin-embedded tissue sections stained with hematoxylin and eosin (H&E) and represent diagnostic fields selected by experienced oral and maxillofacial pathologists.

Each image is labeled at the image level with the confirmed diagnosis; grading or segmentation masks are not provided.

This dataset is intended for research and educational purposes, particularly for the development and benchmarking of artificial intelligence models in computational oral and maxillofacial pathology. Ethical approval was obtained from the Research Ethics Committee of the Faculty of Dentistry, Sinai University (Arish branch) (Ref: OMS 1-03-024).
DOI: 10.17632/y9cjhmf8rz.1
title: SinaiU-OMP Dataset: A Curated Histopathological Image Dataset for Oral and Maxillofacial Pathology to Support AI Research

description: The SinaiU-OMD Dataset is a curated collection of 300 anonymized histopathological images representing key oral and maxillofacial lesions, including Normal oral mucosa, Oral Squamous Cell Carcinoma (OSCC), Odontogenic Keratocyst (OKC), Ameloblastoma-Plexiform (AB), and Pleomorphic Adenoma (PA).

Images were acquired from formalin-fixed, paraffin-embedded tissue sections stained with hematoxylin and eosin (H&E) and represent diagnostic fields selected by experienced oral and maxillofacial pathologists.

Each image is labeled at the image level with the confirmed diagnosis; grading or segmentation masks are not provided.

This dataset is intended for research and educational purposes, particularly for the development and benchmarking of artificial intelligence models in computational oral and maxillofacial pathology. Ethical approval was obtained from the Research Ethics Committee of the Faculty of Dentistry, Sinai University (Arish branch) (Ref: OMS 1-03-024).
DOI: 10.17632/fh2w9j7gbw
title: The Creativity of AI

description: This paper investigates how humans evaluate the creativity of AI-generated artworks in comparison to the human artworks from which they were derived. Using a novel experimental framework, we commissioned original artworks across three distinct art styles: animal charcoal drawings, minimalist commercial logos, and watercolor landscapes. We then prompted Stable Diffusion to produce artworks based on the commissioned pieces. Participants evaluated the creativity of both human- and AI-generated artworks by assigning a grade between 0 and 10, and then bid for these drawings in an auction to examine how monetary costs influenced their choices. Participants then evaluated the creativity of a sample of selected AI-generated artworks to investigate the factors that drive perceptions of creativity. Results show that AI-generated drawings are consistently rated as more creative and elicit higher bids in the landscape treatment. The perceived creativity of AI-generated drawings is driven by detailed features, scene construction, and color use, while errors do not diminish perceived creativity and may even enhance it. These findings suggest that AI-generated artwork is preferred by participants due to its higher aesthetic appeal.
DOI: 10.17632/fh2w9j7gbw.2
title: The Creativity of AI

description: This paper investigates how humans evaluate the creativity of AI-generated artworks in comparison to the human artworks from which they were derived. Using a novel experimental framework, we commissioned original artworks across three distinct art styles: animal charcoal drawings, minimalist commercial logos, and watercolor landscapes. We then prompted Stable Diffusion to produce artworks based on the commissioned pieces. Participants evaluated the creativity of both human- and AI-generated artworks by assigning a grade between 0 and 10, and then bid for these drawings in an auction to examine how monetary costs influenced their choices. Participants then evaluated the creativity of a sample of selected AI-generated artworks to investigate the factors that drive perceptions of creativity. Results show that AI-generated drawings are consistently rated as more creative and elicit higher bids in the landscape treatment. The perceived creativity of AI-generated drawings is driven by detailed features, scene construction, and color use, while errors do not diminish perceived creativity and may even enhance it. These findings suggest that AI-generated artwork is preferred by participants due to its higher aesthetic appeal.
DOI: 10.21233/13nw-7k90
title: NBb plant macrofossil dataset

description: Raw data for the NBb plant macrofossil dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.17632/kb5vggt5dm
title: Primary Survey Dataset on E-commerce Application Adoption in Bangladesh

description: A primary survey was conducted as part of an academic research study in Bangladesh on the factors that influence the adoption of e-commerce applications. The responses were collected via a structured online questionnaire in which the 5-point Likert scale was used. Only the email addresses were used for managing the survey and they were removed or to keep the respondents' identities private.
DOI: 10.17632/kb5vggt5dm.1
title: Primary Survey Dataset on E-commerce Application Adoption in Bangladesh

description: A primary survey was conducted as part of an academic research study in Bangladesh on the factors that influence the adoption of e-commerce applications. The responses were collected via a structured online questionnaire in which the 5-point Likert scale was used. Only the email addresses were used for managing the survey and they were removed or to keep the respondents' identities private.
DOI: 10.17632/tbs4zb2vdv
title: Impact of Phosphodiesterase-5 Inhibitor Treatment Delay on Secondary Raynaud’s Phenomenon Outcomes

description: This dataset includes information collected from patient with secondary Raynaud's phenomenon treated with phosphodiesterase-5 inhibitors. Demographic infromation, secondary Raynaud's phenomenon characteristics, and phosphodiesterase-5 inhibitor effects determined by physician and/or patient reports were collected. Multivariate logistic regression assessed associations with adverse outcomes using RStudio (α=0.05).
DOI: 10.21233/5nre-d634
title: Little John Site vertebrate fauna dataset

description: Raw data for the Little John Site vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.17632/tbs4zb2vdv.1
title: Impact of Phosphodiesterase-5 Inhibitor Treatment Delay on Secondary Raynaud’s Phenomenon Outcomes

description: This dataset includes information collected from patient with secondary Raynaud's phenomenon treated with phosphodiesterase-5 inhibitors. Demographic infromation, secondary Raynaud's phenomenon characteristics, and phosphodiesterase-5 inhibitor effects determined by physician and/or patient reports were collected. Multivariate logistic regression assessed associations with adverse outcomes using RStudio (α=0.05).
DOI: 10.17632/hzhg95752g.1
title: Probabilistic Seismic Demand Modeling of RC Grid-Like Frames: Assessing Response Sensitivity Across Parametric Structural Configurations

description: The research hypothesis of this study is that the seismic response sensitivity of RC grid-like frames is primarily governed by structural geometry and member stiffness ratios rather than material strength properties. Specifically, it is hypothesized that higher-order geometric configurations, such as increased story height and specific bay aspect ratios, lead to a higher "Vulnerability Index" (β), where the rate of increase in structural drift relative to seismic intensity approaches unity.
The data, generated through approximately 4,974 non-linear time history analyses using the ETABS API across 90 structural archetypes, supports this hypothesis. The primary dataset (ETABS_D.csv) includes variables such as story height (2 to 10 stories), bay aspect ratios (0.33 to 3.0), concrete strength (20 to 35 MPa), and various member dimensions. By relating the Peak Ground Acceleration (PGA) to the Maximum Interstory Drift Ratio (MaxIDR) using logarithmic power-law fits (EDP=a(IM)^b ), the data shows a clear divergence in seismic behavior based on height.
Notable findings indicate that taller structures (9–10 stories) exhibit high sensitivity, with β values ranging from 0.93 to 0.96. Conversely, shorter buildings (2–5 stories) display a "hardening" response, with lower sensitivity indices between 0.57 and 0.65. Interestingly, the data demonstrates that concrete compressive strength has a negligible impact on response sensitivity, with β remaining relatively constant between 0.51 and 0.63 despite strength variations. The most critical factor identified is geometric stiffness; certain combinations of column and beam sizes achieved the highest vulnerability index of 0.98, suggesting that the "Strong-Column/Weak-Beam" principle is the most vital design consideration for these frames.
To interpret this data, researchers should focus on the slope (β) of the Probabilistic Seismic Demand Model (PSDM). A β value closer to 1.0 indicates a linear relationship where seismic demand increases proportionately with intensity, representing higher vulnerability. Values significantly lower than 1.0 indicate a structure that possesses greater inherent reserve capacity or "hardening" against increased seismic loads.
This data can be used to develop simplified fragility curves and to inform performance-based design strategies. By understanding which parametric configurations lead to higher β values, engineers can optimize member sizing to ensure that grid-like frames remain resilient under varying seismic intensities without relying solely on higher-grade materials. The dataset serves as a benchmark for validating simplified analytical models against rigorous non-linear simulation results. This enables a more nuanced understanding of how global structural parameters—rather than localized material upgrades—dictate the safety of grid-like reinforced concrete systems in seismically active regions.
DOI: 10.21233/pn44-6881
title: Porcupine Loc. 100 vertebrate fauna dataset

description: Raw data for the Porcupine Loc. 100 vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.rn4hkz
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Halicarcinus planatus",
 "Country is Antarctica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 48 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012635-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/x5vpz9993c.2
title: Dataset for the Multiple Trip Aircraft Refueling Problem

description: This dataset provides all benchmark instances used in the article “The Multiple Trip Aircraft Refueling Problem: MILP Modeling and
a Hybrid Metaheuristic Approach”, enabling the complete replication of the computational experiments reported in the article. It consists of a test instance set with five small to medium-sized instances, a set with fifteen small and medium-sized instances relating to aircraft parked in a straight line, and another with fourteen instances, also small and medium-sized, relating to aircraft not parked in a straight line. All data is available in plain text and Excel formats to facilitate analysis.
DOI: 10.17632/h5zs29psnk
title: Comparative Metabolomic Profiling of Soil-Based and Hydroponic Lettuce Varieties Using Paper Spray Ionization Mass Spectrometry and Chemometric Approaches.

description: The data reported here consist of mass spectra in CDF format used in the study entitled “Comparative Metabolomic Profiling of Soil-Based and Hydroponic Lettuce Varieties Using Paper Spray Ionization Mass Spectrometry and Chemometric Approaches.” Mass spectra were acquired in both positive (POS) and negative (NEG) ionization modes. Two ionization sources were employed: electrospray ionization (ESI) and paper spray ionization (PSI). The study evaluated three lettuce varieties (Lactuca sativa L.): iceberg lettuce (ICE), loose-leaf lettuce (LOO), and oak-leaf lettuce (OAK). The plants were cultivated under two different growth conditions: soil (S) and hydroponics (H). Based on these data, chemometric models were developed using Parallel Factor Analysis (PARAFAC) and Partial Least Squares Discriminant Analysis (PLS-DA) to identify metabolites that differentiate lettuce samples according to variety and cultivation method.
DOI: 10.17632/h5zs29psnk.1
title: Comparative Metabolomic Profiling of Soil-Based and Hydroponic Lettuce Varieties Using Paper Spray Ionization Mass Spectrometry and Chemometric Approaches.

description: The data reported here consist of mass spectra in CDF format used in the study entitled “Comparative Metabolomic Profiling of Soil-Based and Hydroponic Lettuce Varieties Using Paper Spray Ionization Mass Spectrometry and Chemometric Approaches.” Mass spectra were acquired in both positive (POS) and negative (NEG) ionization modes. Two ionization sources were employed: electrospray ionization (ESI) and paper spray ionization (PSI). The study evaluated three lettuce varieties (Lactuca sativa L.): iceberg lettuce (ICE), loose-leaf lettuce (LOO), and oak-leaf lettuce (OAK). The plants were cultivated under two different growth conditions: soil (S) and hydroponics (H). Based on these data, chemometric models were developed using Parallel Factor Analysis (PARAFAC) and Partial Least Squares Discriminant Analysis (PLS-DA) to identify metabolites that differentiate lettuce samples according to variety and cultivation method.
DOI: 10.21233/h3me-s244
title: Gliptodonte (Rancho Argentina Brick Pit) vertebrate fauna dataset

description: Raw data for the Gliptodonte (Rancho Argentina Brick Pit) vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.17632/hfsz4v7bd9
title: Fruit and seed morphological dataset of Ormosia macrocalyx Ducke from Tabasco, Mexico

description: The fruit was collected from three mature trees in the municipality of Centro, Tabasco, Mexico, and also from three trees in San Pedro, municipality of Balancán, Tabasco, Mexico. The first site is an urban area and the second site is a living fence. The data recorded here were used to obtain the length and width of the fruits and the number of seeds per fruit. The seeds were quantified in terms of length, width, thickness, number of seeds per kilogram, and mass. These data were used to obtain a Pearson correlation analysis and a principal component analysis.