cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.mzvt3m
title: Occurrence Download

description: A dataset containing 475909 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-100.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Geraniaceae",
 "Year 1990-2022"
 ]
}

 The dataset includes 475909 records from 477 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108486-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dnn99g
title: Occurrence Download

description: A dataset containing 911 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudoeurycea lineola"
 ]
}

 The dataset includes 911 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067636-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u2y3un
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "TaxonKey is Solva marginata"
 ]
}

 The dataset includes 93 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067637-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.af47d486
title: Αναγνωστήριο της Αγιάσου - Αγιάσος... 1874 μέχρι σήμερα (CD 2)
DOI: 10.15468/dl.5k4dgt
title: Occurrence Download

description: A dataset containing 47807 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2000-2000"
 ]
}

 The dataset includes 47807 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067638-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7k3wmh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "OccurrenceStatus is Present",
 "TaxonKey is Solva varia"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067639-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9wfe45
title: Occurrence Download

description: A dataset containing 245 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudoeurycea longicauda"
 ]
}

 The dataset includes 245 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067640-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e241822
title: Federal Teaching hospital Ido-Ekiti 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

description: Federal Teaching hospital Ido-Ekiti 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542
DOI: 10.15468/dl.fz7f22
title: Occurrence Download

description: A dataset containing 643 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "OccurrenceStatus is Present",
 "TaxonKey is Potamochoerus porcus",
 "Year 2015-2025"
 ]
}

 The dataset includes 643 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067642-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v4xrre
title: Occurrence Download

description: A dataset containing 66710012 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "DatasetKey is one of (NABU|naturgucker, Flora von Deutschland (Phanerogamen), VegetWeb - Repositorium von Vegetationsaufnahmen, Insekten Sachsen, iNaturalist Research-grade Observations, Harmonised freshwater fish occurrence and abundance data for 12 federal states in Germany, Observation.org, Nature data from around the World, EOD – eBird Observation Dataset, The Spider Collection at the Staatliches Museum für Naturkunde Karlsruhe, Neuropteren Deutschlands (Neuropterida of Germany), ArtenFinder, Occurrence Data of Vascular Plants collected or compiled for the Flora of Bavaria, Floristic records from survey studies of the Bayerisches Landesamt für Umwelt, Historical Vertebrate Distributions in Bavaria 1845, Biodiversity data of gravel pit lakes in Northern Germany, Found Animal Survey Germany, Tierfund-Kataster Deutschland (TFK-D))",
 "PublishingOrg is one of (57254bd0-8256-11d8-b7ed-b8a03c50a862, 0674aea0-a7e1-11d8-9534-b8a03c50a862, 10980920-6dad-11da-ad13-b8a03c50a862, 99ea0c90-61e5-11dc-a64c-b8a03c50a862, 463555b0-d081-11da-ae8f-b8a03c50a862, 6e1cad80-bdf5-11d8-84ea-b8a03c50a862, c76cf030-2a95-11da-9cc1-b8a03c50a862, 48490260-8fc0-11dd-be72-b8a03c50a862, 98dbab03-09e5-4ceb-988e-04f3e803decb)",
 "NetworkKey is one of (d1627240-04ab-4162-aee9-b16df6bc8308, 3aee7756-565e-4dc5-b22c-f997fbd7105c)"
 ]
 },
 "Country is Germany",
 {
 "not" : {
 "HasGeospatialIssue" : [
 "is true"
 ]
 }
 }
 ]
}

 The dataset includes 66710012 records from 486 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067620-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.whyn7f
title: Occurrence Download

description: A dataset containing 1658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Actinidia chinensis"
 ]
}

 The dataset includes 1658 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067643-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17990708
title: Mannheim, Löwen-Apotheke (ca. 1924/1947) u. Löwen Zeitung (1941-44)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.5281/zenodo.17990707
title: Mannheim, Löwen-Apotheke (ca. 1924/1947) u. Löwen Zeitung (1941-44)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.5281/zenodo.17730503
title: Runoff of Station
DOI: 10.5281/zenodo.17730502
title: Runoff of Station
DOI: 10.5281/zenodo.18074743
title: Scientific Term for Cross-National Analysis of Taiwanese and Japanese Junior High School Biology Textbooks

description: This dataset contains the complete scientific term whitelists used for automated term identification and analysis in a cross-national comparison of Taiwanese and Japanese junior high school biology textbooks. The lists were compiled through corpus-based extraction and manual correction to ensure terminological accuracy and cross-linguistic consistency.
DOI: 10.5281/zenodo.18074744
title: Scientific Term for Cross-National Analysis of Taiwanese and Japanese Junior High School Biology Textbooks

description: This dataset contains the complete scientific term whitelists used for automated term identification and analysis in a cross-national comparison of Taiwanese and Japanese junior high school biology textbooks. The lists were compiled through corpus-based extraction and manual correction to ensure terminological accuracy and cross-linguistic consistency.
DOI: 10.15468/dl.w9efea
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudoeurycea lynchi"
 ]
}

 The dataset includes 100 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067644-251120083545085/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/14319779
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.wn7x47
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudoeurycea melanomolga"
 ]
}

 The dataset includes 177 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067645-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48366/r1568353
title: Pedagogical & Methodological Comparison of AI-in-Education Studies

description: This table compares five contemporary education-technology studies that span LLM alignment, LLM adoption reviews, K–12 AI interventions, early-childhood digital math, and peer-based prompt literacy. Each row is a paper and columns are concise attributes (year, type, method, sample, data, impact, evidence, innovation, limitation, recommendation). Use this table to quickly locate methodological choices, measured outcomes (e.g., digital literacy, alignment, engagement), and recommended next steps (e.g., prompt tuning, controlled trials, teacher professional development) across small-scale experiments, large reviews, and qualitative studies.
DOI: 10.48366/r1568355
title: Pedagogical & Methodological Comparison of AI-in-Education Studies - December 2025

description: This table compares five contemporary education-technology studies that span LLM alignment, LLM adoption reviews, K–12 AI interventions, early-childhood digital math, and peer-based prompt literacy. Each row is a paper and columns are concise attributes (year, type, method, sample, data, impact, evidence, innovation, limitation, recommendation). Use this table to quickly locate methodological choices, measured outcomes (e.g., digital literacy, alignment, engagement), and recommended next steps (e.g., prompt tuning, controlled trials, teacher professional development) across small-scale experiments, large reviews, and qualitative studies.
DOI: 10.15468/dl.nwabpe
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudoeurycea mixcoatl"
 ]
}

 The dataset includes 60 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067646-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30959060
title: Slopes and MAS Dukat 2022

description: Overview: Reconstructed SPI/SPEI Trend Slopes (Figure 6 & Table 4) and MAS from Dukat et al. (2022)This dataset contains slope estimates derived from Figure 6 and slopes from Table 4 of Dukat et al. (2022) [1], presenting SPI and SPEI drought severity trends.Figure 6, Section 4.2Using WebPlotDigitizer [2], we extracted the start and end points of each linear trend line shown in Figure 6. From these, we calculated the slope for each index and station, then computed the absolute value of each slope. We calculated the Mean Absolute Slope (MAS) for 36 index-location-combinations. MAS quantifies the magnitude of change independent of direction.Table 4, Section 4.2We calculated MAS directly from the 18 slopes presented in Table 4.These values are referenced in our PubPeer comment to assess the consistency of reporting and interpretation of statistically non-significant trends.References[1] Dukat, P., Bednorz, E., Ziemblińska, K. et al. Trends in drought occurrence and severity at mid-latitude European stations (1951–2015) estimated using standardized precipitation (SPI) and precipitation and evapotranspiration (SPEI) indices. Meteorol Atmos Phys 134, 20 (2022). https://doi.org/10.1007/s00703-022-00858-w[2] Rohatgi, Ankit. WebPlotDigitizer. Version 5.2. https://automeris.io/ (accessed 2025-11-05).
DOI: 10.6084/m9.figshare.30959060.v1
title: Slopes and MAS Dukat 2022

description: Overview: Reconstructed SPI/SPEI Trend Slopes (Figure 6 & Table 4) and MAS from Dukat et al. (2022)This dataset contains slope estimates derived from Figure 6 and slopes from Table 4 of Dukat et al. (2022) [1], presenting SPI and SPEI drought severity trends.Figure 6, Section 4.2Using WebPlotDigitizer [2], we extracted the start and end points of each linear trend line shown in Figure 6. From these, we calculated the slope for each index and station, then computed the absolute value of each slope. We calculated the Mean Absolute Slope (MAS) for 36 index-location-combinations. MAS quantifies the magnitude of change independent of direction.Table 4, Section 4.2We calculated MAS directly from the 18 slopes presented in Table 4.These values are referenced in our PubPeer comment to assess the consistency of reporting and interpretation of statistically non-significant trends.References[1] Dukat, P., Bednorz, E., Ziemblińska, K. et al. Trends in drought occurrence and severity at mid-latitude European stations (1951–2015) estimated using standardized precipitation (SPI) and precipitation and evapotranspiration (SPEI) indices. Meteorol Atmos Phys 134, 20 (2022). https://doi.org/10.1007/s00703-022-00858-w[2] Rohatgi, Ankit. WebPlotDigitizer. Version 5.2. https://automeris.io/ (accessed 2025-11-05).
DOI: 10.5281/zenodo.17115479
title: RL-NST: Augmented Corn Leaf Disease Dataset

description: This dataset contains 4,776 augmented corn leaf disease images generated using a Reinforcement Learning–based Neural Style Transfer (RL-NST) framework. The images extend existing resources, including PlantVillage, CCMT, and field-collected samples. The dataset contains: Common Rust (960), Leaf Blight (783), Leaf Spot (944), Streak Virus (1,890), and Healthy (199). All images are in JPEG format with standardized resolution, intended for training and benchmarking deep learning models for plant disease detection.

The RL-NST implementation code is available at: https://github.com/kanch-git/RL-NST/
DOI: 10.5281/zenodo.17115480
title: RL-NST: Augmented Corn Leaf Disease Dataset

description: This dataset contains 4,776 augmented corn leaf disease images generated using a Reinforcement Learning–based Neural Style Transfer (RL-NST) framework. The images extend existing resources, including PlantVillage, CCMT, and field-collected samples. The dataset contains: Common Rust (960), Leaf Blight (783), Leaf Spot (944), Streak Virus (1,890), and Healthy (199). All images are in JPEG format with standardized resolution, intended for training and benchmarking deep learning models for plant disease detection.

The RL-NST implementation code is available at: https://github.com/kanch-git/RL-NST/
DOI: 10.5281/zenodo.18074300
title: WanRijin/paper-A_High-Accuracy_U-Net_Deep_Learning_Method_for_Identifying_TPI-software: WRJ-SPR-UNET V2.0

description: WRJ-SPR-UNET V2.0

##usage

Including software, data and references in Chinese of the paper of "A High-Accuracy U-Net Deep Learning Method for Identifying typhoon-induced precipitation"

source: personal experiment

##file structure

Software:

sprY30Aies_H850H1H2TkaP13.ipynb (Python3.10.13)

Data:

All_preH8RnTrkaP13_9524.nc (predictor variables)

All_obsRain9025.nc (labelling variable)

Reference:

REF  REN Fumin-2001-A Numrical Technique For Partitioning Cyclone.pdf

REF  Wang Yong-mei-2006-The Study ont he Objective Technique for Partitioning.pdf
DOI: 10.5281/zenodo.18074301
title: WanRijin/paper-A_High-Accuracy_U-Net_Deep_Learning_Method_for_Identifying_TPI-software: WRJ-SPR-UNET V2.0

description: WRJ-SPR-UNET V2.0

##usage

Including software, data and references in Chinese of the paper of "A High-Accuracy U-Net Deep Learning Method for Identifying typhoon-induced precipitation"

source: personal experiment

##file structure

Software:

sprY30Aies_H850H1H2TkaP13.ipynb (Python3.10.13)

Data:

All_preH8RnTrkaP13_9524.nc (predictor variables)

All_obsRain9025.nc (labelling variable)

Reference:

REF  REN Fumin-2001-A Numrical Technique For Partitioning Cyclone.pdf

REF  Wang Yong-mei-2006-The Study ont he Objective Technique for Partitioning.pdf
DOI: 10.5281/zenodo.18073714
title: Fractal-NST: Fractal-Based Neural Style Transfer Image Augmentation

description: This repository provides sample data generated using the proposed Fractal-based Neural Style Transfer (Fractal-NST) framework, which is designed for high-quality and unbiased image augmentation. The shared data are intended to support transparency, reproducibility, and qualitative evaluation of the methods presented in the associated research paper.

The repository is organized into two primary directories:



The Fractal Images directory contains fractal-based style images generated using multiple fractal generation techniques. Fractals are mathematically defined, non-semantic patterns that exhibit self-similarity and rich textural characteristics. For each fractal generation technique, 200 images are provided and stored in separate subfolders to ensure clarity and ease of use. These images serve as style sources for neural style transfer and are domain-independent, making them suitable for augmentation across different datasets without introducing semantic or class bias.

The Augmented Images directory contains 100 randomly selected augmented images produced using the proposed Fractal-NST method. These images demonstrate the effect of transferring fractal-based styles onto original content images while preserving essential structural and semantic information. The samples highlight the diversity, texture richness, and content fidelity achieved by the proposed approach and are representative of the augmented datasets used during experimental evaluation.


All images are provided in standard image formats and maintain consistent spatial resolution with the original datasets used in the study. The repository does not include original datasets or sensitive data; only generated fractal images and representative augmented samples are shared. The data can be used for visual inspection, methodological validation, and comparative analysis of neural style transfer-based augmentation techniques.

 

The Fractal-NST implementation code is available at: https://github.com/kanch-git/Fractal-NST/

 





References:






https://doi.org/10.17632/tywbtsjrjv.1

https://doi.org/10.1016/j.dib.2023.109306
DOI: 10.5281/zenodo.18073715
title: Fractal-NST: Fractal-Based Neural Style Transfer Image Augmentation

description: This repository provides sample data generated using the proposed Fractal-based Neural Style Transfer (Fractal-NST) framework, which is designed for high-quality and unbiased image augmentation. The shared data are intended to support transparency, reproducibility, and qualitative evaluation of the methods presented in the associated research paper.

The repository is organized into two primary directories:



The Fractal Images directory contains fractal-based style images generated using multiple fractal generation techniques. Fractals are mathematically defined, non-semantic patterns that exhibit self-similarity and rich textural characteristics. For each fractal generation technique, 200 images are provided and stored in separate subfolders to ensure clarity and ease of use. These images serve as style sources for neural style transfer and are domain-independent, making them suitable for augmentation across different datasets without introducing semantic or class bias.

The Augmented Images directory contains 100 randomly selected augmented images produced using the proposed Fractal-NST method. These images demonstrate the effect of transferring fractal-based styles onto original content images while preserving essential structural and semantic information. The samples highlight the diversity, texture richness, and content fidelity achieved by the proposed approach and are representative of the augmented datasets used during experimental evaluation.


All images are provided in standard image formats and maintain consistent spatial resolution with the original datasets used in the study. The repository does not include original datasets or sensitive data; only generated fractal images and representative augmented samples are shared. The data can be used for visual inspection, methodological validation, and comparative analysis of neural style transfer-based augmentation techniques.

 

The Fractal-NST implementation code is available at: https://github.com/kanch-git/Fractal-NST/

 





References:






https://doi.org/10.17632/tywbtsjrjv.1

https://doi.org/10.1016/j.dib.2023.109306
DOI: 10.15468/dl.a8rrp7
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudoeurycea mixteca"
 ]
}

 The dataset includes 65 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067647-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uv3mx2
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudoeurycea mystax"
 ]
}

 The dataset includes 27 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067649-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.14729.51043
title: Global burden and inequities of Group B Streptococcus disease
DOI: 10.3886/e241823
title: Ekiti State University Teaching Hospital 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

description: Ekiti State University Teaching Hospital 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542
DOI: 10.13140/rg.2.2.28151.28324
title: Metabolic Plasticity Driving Immune Suppression