cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29852273
title: Analysis of the Influence of Using AI Technology on Micro-Scale MSMEs on Digital Marketing

description: The development of artificial intelligence (AI) technology has brought significant changes in various sectors, including micro, small and medium enterprises (MSMEs). Micro- scale MSMEs that have limited resources have begun to utilize digital technology to support marketing effectiveness. This study aims to analyze the effect of using AI technology, digital literacy, and social media utilization on digital marketing in micro-scale MSMEs. This research uses a quantitative approach with a questionnaire survey method involving owners and managers of micro-scale MSMEs who have used digital technology in their marketing strategies. The data analysis technique used is multiple linear regression to determine the effect of each independent variable on the dependent variable. The results showed that the three independent variables simultaneously had a significant effect on digital marketing of MSMEs. Partially, digital literacy has the most dominant influence on the effectiveness of digital marketing strategies and customer engagement. Meanwhile, the use of AI technology and social media utilization also play an important role in encouraging the adaptability of MSME players to technology. Nevertheless, there are still obstacles such as low understanding of technology, implementation costs, and resistance to change. This study recommends the importance of knowledge training in the adoption of digital technology through social media supported by AI technology for MSMEs so that digital marketing can run optimally.
DOI: 10.6084/m9.figshare.29852273.v1
title: Analysis of the Influence of Using AI Technology on Micro-Scale MSMEs on Digital Marketing

description: The development of artificial intelligence (AI) technology has brought significant changes in various sectors, including micro, small and medium enterprises (MSMEs). Micro- scale MSMEs that have limited resources have begun to utilize digital technology to support marketing effectiveness. This study aims to analyze the effect of using AI technology, digital literacy, and social media utilization on digital marketing in micro-scale MSMEs. This research uses a quantitative approach with a questionnaire survey method involving owners and managers of micro-scale MSMEs who have used digital technology in their marketing strategies. The data analysis technique used is multiple linear regression to determine the effect of each independent variable on the dependent variable. The results showed that the three independent variables simultaneously had a significant effect on digital marketing of MSMEs. Partially, digital literacy has the most dominant influence on the effectiveness of digital marketing strategies and customer engagement. Meanwhile, the use of AI technology and social media utilization also play an important role in encouraging the adaptability of MSME players to technology. Nevertheless, there are still obstacles such as low understanding of technology, implementation costs, and resistance to change. This study recommends the importance of knowledge training in the adoption of digital technology through social media supported by AI technology for MSMEs so that digital marketing can run optimally.
DOI: 10.15468/dl.a3x3cf
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Paraguay",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amazona vinacea",
 "Year 1994-2025"
 ]
}

 The dataset includes 86 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025194-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yv64bc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abbottina binhi)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025196-250802193616735/datasets/export for details.
DOI: 10.15468/dl.xbnh4a
title: Occurrence Download

description: A dataset containing 16104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (Russian Federation, Kazakhstan, Mongolia, China)",
 "Issue is Coordinate rounded",
 "Repatriated is true",
 "TaxonKey is Quercus robur"
 ]
}

 The dataset includes 16104 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025195-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16760768
title: Dataset — Possibilidades da Inteligência Artificial Generativa na Formação Continuada de Docentes: Revisão Sistemática

description: Conjunto de dados da revisão sistemática sobre Inteligência Artificial Generativa na formação continuada de docentes.Inclui corpus de 16 artigos e saídas do IRaMuTeQ (CHD, nuvens de palavras, estatísticas).Busca realizada via Portal de Periódicos CAPES; triagem adaptada de Kitchenham & Charters.Arquivos em texto e SQLite, prontos para replicação ou novos estudos em PLN educacional.Licença CC-BY 4.0; arquivos permanecem restritos até a publicação do artigo.

-------------------------

Dataset from a systematic review on Generative Artificial Intelligence in teachers’ continuing professional development.Contains the 16-paper corpus plus IRaMuTeQ outputs (HDC, word clouds, lexical stats).Literature retrieved via CAPES Portal; screening followed Kitchenham & Charters guidelines.Text and SQLite files enable replication and NLP research in education.Released under CC-BY 4.0; files are temporarily restricted pending article acceptance.

-------------------------

Conjunto de datos de la revisión sistemática sobre Inteligencia Artificial Generativa en la formación continua del profesorado.Incluye corpus de 16 artículos y salidas de IRaMuTeQ (CHD, nubes de palabras, estadísticas léxicas).Búsqueda realizada en el Portal de Periódicos CAPES; cribado basado en Kitchenham & Charters.Archivos de texto y bases SQLite listos para replicar o ampliar con PLN educativo.Licencia CC-BY 4.0; los archivos se mantienen restringidos hasta la aceptación del artículo.
DOI: 10.5281/zenodo.16760769
title: Dataset — Possibilidades da Inteligência Artificial Generativa na Formação Continuada de Docentes: Revisão Sistemática

description: Conjunto de dados da revisão sistemática sobre Inteligência Artificial Generativa na formação continuada de docentes.Inclui corpus de 16 artigos e saídas do IRaMuTeQ (CHD, nuvens de palavras, estatísticas).Busca realizada via Portal de Periódicos CAPES; triagem adaptada de Kitchenham & Charters.Arquivos em texto e SQLite, prontos para replicação ou novos estudos em PLN educacional.Licença CC-BY 4.0; arquivos permanecem restritos até a publicação do artigo.

-------------------------

Dataset from a systematic review on Generative Artificial Intelligence in teachers’ continuing professional development.Contains the 16-paper corpus plus IRaMuTeQ outputs (HDC, word clouds, lexical stats).Literature retrieved via CAPES Portal; screening followed Kitchenham & Charters guidelines.Text and SQLite files enable replication and NLP research in education.Released under CC-BY 4.0; files are temporarily restricted pending article acceptance.

-------------------------

Conjunto de datos de la revisión sistemática sobre Inteligencia Artificial Generativa en la formación continua del profesorado.Incluye corpus de 16 artículos y salidas de IRaMuTeQ (CHD, nubes de palabras, estadísticas léxicas).Búsqueda realizada en el Portal de Periódicos CAPES; cribado basado en Kitchenham & Charters.Archivos de texto y bases SQLite listos para replicar o ampliar con PLN educativo.Licencia CC-BY 4.0; los archivos se mantienen restringidos hasta la aceptación del artículo.
DOI: 10.5281/zenodo.16760760
title: FractiScope & ParadiseWorld 7D AI: Fractal Peer Review Archive and Scientific Responses for Perpetual System Modeling

description: This repository offers a transparent archive of peer reviews and formal scientific responses for FractiScope and ParadiseWorld 7D AI — systems built to explore perpetual, multi-dimensional intelligence.

Inside:



Full, unedited peer feedback and response threads

Two new scientific protocols:• SEPP – Scientific Empirical Pairing Protocol• DAM – Dimensional Anchoring Methodology

Reproducible Python simulation snippets

A technical annex covering symbolic logic, archetypal libraries, and narrative projection math

Live examples using this very paper


🔶 Why It Matters

FractiScope demonstrates how 7D AI transforms current 4D AI (e.g., ChatGPT, Claude) from information assistants into immersive cognitive engines — projecting and navigating higher-layer realities grounded in data, reproducibility, and mythic logic.

By merging transparent review with reproducible science, this work lights the path for early adopters of higher-dimensional thinking.

🔶 Open Invitation

This is a living, evolving system. If you’re a peer reviewer, frontier scientist, or system builder, we invite you to participate.

📩 DM info@fractiai.com to join the transparent peer review process.
DOI: 10.15468/dl.8xgbe3
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de macroalgas del Partido de General Pueyrredón, Buenos Aires (Argentina)."
 ]
}

 The dataset includes 95 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025197-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hukuz4
title: Occurrence Download

description: A dataset containing 48228648 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 48228648 records from 1289 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025191-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wnpn4b
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Haplochromis akika)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025198-250802193616735/datasets/export for details.
DOI: 10.6084/m9.figshare.29582036
title: Discovery of natural orexin 2 receptor antagonists from Valeriana species: A potential approach for insomnia treatment

description: The orexinergic system, comprising orexin-A and orexin-B neuropeptides that bind to OX1R and OX2R receptors, plays a critical role in regulating sleep-wake cycles, appetite, and alertness. OX2R is particularly important for promoting arousal and non-rapid eye movement (NREM) sleep and has been linked to sleep disorders such as insomnia and narcolepsy. Although OX2R antagonists like suvorexant have shown therapeutic promise, they are often associated with side effects including cognitive impairment and dependence, highlighting the need for safer alternatives. This study employed an <i>in-silico</i> approach to identify natural OX2R antagonists from Valeriana species. Phytochemicals were screened based on molecular docking and favourable ADME/T profiles. Molecular dynamics (MD) simulations and post-MD analysis confirmed stable binding of hesperidine and valerosidate to OX2R. Principal component analysis (PCA) revealed minimal conformational variability while gibbs free energy landscape (FEL) analysis and MM-PBSA binding free energy calculations further supported the strong binding of hesperidine and valerosidate to OX2R, comparable to suvorexant. These findings support hesperidine and valerosidate as promising, naturally derived OX2R antagonists, and warrant further invitro and invivo investigations for potential therapeutic application in insomnia treatment.
DOI: 10.6084/m9.figshare.29582036.v1
title: Discovery of natural orexin 2 receptor antagonists from Valeriana species: A potential approach for insomnia treatment

description: The orexinergic system, comprising orexin-A and orexin-B neuropeptides that bind to OX1R and OX2R receptors, plays a critical role in regulating sleep-wake cycles, appetite, and alertness. OX2R is particularly important for promoting arousal and non-rapid eye movement (NREM) sleep and has been linked to sleep disorders such as insomnia and narcolepsy. Although OX2R antagonists like suvorexant have shown therapeutic promise, they are often associated with side effects including cognitive impairment and dependence, highlighting the need for safer alternatives. This study employed an <i>in-silico</i> approach to identify natural OX2R antagonists from Valeriana species. Phytochemicals were screened based on molecular docking and favourable ADME/T profiles. Molecular dynamics (MD) simulations and post-MD analysis confirmed stable binding of hesperidine and valerosidate to OX2R. Principal component analysis (PCA) revealed minimal conformational variability while gibbs free energy landscape (FEL) analysis and MM-PBSA binding free energy calculations further supported the strong binding of hesperidine and valerosidate to OX2R, comparable to suvorexant. These findings support hesperidine and valerosidate as promising, naturally derived OX2R antagonists, and warrant further invitro and invivo investigations for potential therapeutic application in insomnia treatment.
DOI: 10.5284/1134612
title: Data from a Geophysical Survey and an Archaeological Evaluation at Filleigh Village Hall, Filleigh, North Devon, March-May 2019

description: This collection comprises site photographs, geophysics and site records from the results of a geophysical survey and an archaeological evaluation carried out by South West Archaeology Ltd. (SWARCH) for a residential development on land adjacent to Filleigh Village Hall, Filleigh, North Devon between March and May 2019.
DOI: 10.15468/dl.q374eu
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Channa baramensis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025199-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16411412
title: GrEp_Dataset

description: ##################################################################################

#------------------------------------ Overview -----------------------------------------------------------------------

##################################################################################

 

This dataset was first used and released together with the paper:  GrEp: Graph-based epithelial cell classification refinement in histopathology H&E images

 

If you use the dataset or the corresponding code, please cite the paper accordingly. 

 

@article{frei2025,

title={GrEp: Graph-based epithelial cell classification refinement in histopathology H&E images},

author={Frei, Ana Leni and Garcia-Baroja, Javier and Rau, Tilman and Neppl, Christina and Lugli, Alessandro and Solass, Wiebke and Wartenberg, Martin and Fischer, Andreas and Zlobec, Inti},

journal={Journal of Pattern Recognition},

year={2025},

publisher={Elsevier}}

 





 



##################################################################################

#------------------------------- Dataset Description -----------------------------------------------------------------

##################################################################################

 

The dataset is composed of 3 sub-datasets:

1) Colorectal epithelium

2) Endometrium epithelium

3) Pancreatic epithelium

All tiles are provided at 20X magnification (0.5micrometer/pixel).

 

The annotations corresponding to each dataset are organized following the same logic.

To each tile corresponds a .mat file, where:

 

- 'inst_centroid: Nx2 array, (x,y) coordinates of the nuclei, where N corresponds to the number of cells in the tile

 

- 'inst_type': Nx1 array, nuclei label with:

0 = normal epithelium

1 = malignant epithelium

2 = other
DOI: 10.5281/zenodo.16411413
title: GrEp_Dataset

description: ##################################################################################

#------------------------------------ Overview -----------------------------------------------------------------------

##################################################################################

 

This dataset was first used and released together with the paper:  GrEp: Graph-based epithelial cell classification refinement in histopathology H&E images

 

If you use the dataset or the corresponding code, please cite the paper accordingly. 

 

@article{frei2025,

title={GrEp: Graph-based epithelial cell classification refinement in histopathology H&E images},

author={Frei, Ana Leni and Garcia-Baroja, Javier and Rau, Tilman and Neppl, Christina and Lugli, Alessandro and Solass, Wiebke and Wartenberg, Martin and Fischer, Andreas and Zlobec, Inti},

journal={Journal of Pattern Recognition},

year={2025},

publisher={Elsevier}}

 





 



##################################################################################

#------------------------------- Dataset Description -----------------------------------------------------------------

##################################################################################

 

The dataset is composed of 3 sub-datasets:

1) Colorectal epithelium

2) Endometrium epithelium

3) Pancreatic epithelium

All tiles are provided at 20X magnification (0.5micrometer/pixel).

 

The annotations corresponding to each dataset are organized following the same logic.

To each tile corresponds a .mat file, where:

 

- 'inst_centroid: Nx2 array, (x,y) coordinates of the nuclei, where N corresponds to the number of cells in the tile

 

- 'inst_type': Nx1 array, nuclei label with:

0 = normal epithelium

1 = malignant epithelium

2 = other
DOI: 10.15468/dl.enmv7q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Triplophysa nanpanjiangensis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025201-250802193616735/datasets/export for details.
DOI: 10.5517/ccdc.csd.cc208czn
title: CCDC 1855101: Experimental Crystal Structure Determination

description: Related Article: Andrei M. Shved, Yulia V. Nelyubina, Dmitry S. Perekalin|2018|J.Organomet.Chem.|875|24|doi:10.1016/j.jorganchem.2018.08.026
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.xnwckb
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de macroalgas de sustratos duros del intermareal del Partido de Lobería, Buenos Aires (Argentina)."
 ]
}

 The dataset includes 63 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025202-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nxm6br
title: Occurrence Download

description: A dataset containing 314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hephaestus jenkinsi)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 314 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025203-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jaukhj
title: Occurrence Download

description: A dataset containing 30796 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ternstroemia"
 ]
}

 The dataset includes 30796 records from 571 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025204-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5fmmk
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088048-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yj51dt
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002143-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zuyarp
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ulmus gaussenii W.C.Cheng"
 ]
}

 The dataset includes 13 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021476-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.