cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30509912.v1
title: Raw data （ApoE Genotype-Specific Cognitive Benefits from Fasting-Induced Shifts in Energy Metabolic in Alzheimer’s disease）

description: Our findings underscore the neuroprotective potential of TRF in AD, particularly for ApoE4 non-carriers, and highlight the promise of non-pharmacological nutritional interventions in preventing or delaying AD progression.
DOI: 10.5281/zenodo.17505719
title: A GC/MS Dataset with Python Scripts for Machine Learning-Based Classification of Thai and Foreign Hemp (Cannabis sativa L.) Seed Extracts
DOI: 10.5281/zenodo.17505720
title: A GC/MS Dataset with Python Scripts for Machine Learning-Based Classification of Thai and Foreign Hemp (Cannabis sativa L.) Seed Extracts
DOI: 10.15468/dl.xvj2bm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011509-251025141854904/datasets/export for details.
DOI: 10.15468/dl.mkwy2k
title: Occurrence Download

description: A dataset containing 1610 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is 4b3fc3ac-227f-477d-9853-cfa76044d108",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 1610 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011511-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11424987
title: LMHLD: A Large-scale Multi-source High-resolution Landslide Dataset for Landslide Detection based on Deep Learning

description: LMHLD collects remote sensing images of five satellite sensors in seven areas of the world: Wenchuan, China (2008); Rio de Janeiro, Brazil (2011); Gorkha, Nepal (2015); Jiuzhaigou, China (2015); Taiwan, China (2018); Hokkaido, Japan (2018); Emilia-Romagna, Italy (2023), a total of 25,365 patches by setting different patch sizes according to different landslide scale.

Specifically, patch sizes vary across different areas: 32 for image segmentation in Emilia-Romagna, Italy and Gorkha, Nepal; 64 in Rio de Janeiro, Brazil; 128 in Jiuzhaigou, China and Hokkaido, Japan; and 224 in Wenchuan and Taiwan, China. All the above patches constitute LMHLD, a large-scale multi-source high-resolution heterogeneous landslide dataset.

LMHLD.rar includes all the Train, Validation, Test data used for the experiments.

If you use our data, please cite our work published in IEEE Transactions on Geoscience and Remote Sensing. Or if you have any other questions about LMHLD, please contact us: guan.ting.liu2000@gmail.com.

Paper: Liu G, Wang Y, Chen X, et al. LMHLD: A Large-scale Multi-Source High-Resolution Landslide Dataset for Landslide Detection based on Deep Learning[J]. IEEE Transactions on Geoscience and Remote Sensing, 2025. (DOI: 10.1109/TGRS.2025.3619062)
DOI: 10.5281/zenodo.17258777
title: LMHLD: A Large-scale Multi-source High-resolution Landslide Dataset for Landslide Detection based on Deep Learning

description: LMHLD collects remote sensing images of five satellite sensors in seven areas of the world: Wenchuan, China (2008); Rio de Janeiro, Brazil (2011); Gorkha, Nepal (2015); Jiuzhaigou, China (2015); Taiwan, China (2018); Hokkaido, Japan (2018); Emilia-Romagna, Italy (2023), a total of 25,365 patches by setting different patch sizes according to different landslide scale.

Specifically, patch sizes vary across different areas: 32 for image segmentation in Emilia-Romagna, Italy and Gorkha, Nepal; 64 in Rio de Janeiro, Brazil; 128 in Jiuzhaigou, China and Hokkaido, Japan; and 224 in Wenchuan and Taiwan, China. All the above patches constitute LMHLD, a large-scale multi-source high-resolution heterogeneous landslide dataset.

LMHLD.rar includes all the Train, Validation, Test data used for the experiments.

If you use our data, please cite our work published in IEEE Transactions on Geoscience and Remote Sensing. Or if you have any other questions about LMHLD, please contact us: guan.ting.liu2000@gmail.com.

Paper: Liu G, Wang Y, Chen X, et al. LMHLD: A Large-scale Multi-Source High-Resolution Landslide Dataset for Landslide Detection based on Deep Learning[J]. IEEE Transactions on Geoscience and Remote Sensing, 2025. (DOI: 10.1109/TGRS.2025.3619062)
DOI: 10.5281/zenodo.17506084
title: DAFbind
DOI: 10.15468/dl.upnner
title: Occurrence Download

description: A dataset containing 2174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((18.95625 24.30000,75.26250 24.30000,75.26250 46.80000,18.95625 46.80000,18.95625 24.30000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fagus orientalis"
 ]
}

 The dataset includes 2174 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011512-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.14013.73449
title: When Blockchain and Data Turns Dangerous
DOI: 10.5281/zenodo.17252366
title: QUEST 15 Final Verification

description: # Quantum Holographic Emergence of Spacetime Theory (QUEST): Final Verification Dataset

**Author:** LEE, Song-Bin (Independent Researcher, Republic of Korea)  **Contact:** songbin8880@gmail.com  **Date:** October 3, 2025  

## OverviewThis dataset provides the final verification materials for the QUEST theory, including results from 144 candidate universe simulations.  In particular, the condition `grid_size=48`, `time_steps=600` was confirmed to represent a 3+1 dimensional simulation.  The QUEST Equation reproduces in a single solution:  - 3 lepton masses  - 6 quark masses  - 1 unified constant (αem + aμ)  

Moreover, under specific conditions, both the Dirac equation and the Einstein field equations emerge naturally, suggesting a new path toward unifying quantum mechanics and gravity.  

## Data Files- **scaling_law.csv**: Policy-level (single/dual/free) performance summary.  - **runs_summary.csv**: Condition-level summary (grid size, time steps, fixed charge, dt, normalize_every, charge_scale, has_3p1D).  - **fields_data.csv**: Not provided. Originally contained raw lattice outputs, but omitted due to storage limits. Can be regenerated by rerunning the simulator under the same conditions.  

## Verification Proposal- **Goal:** Using the provided data and the QUEST Equation, reproduce within 5σ:    - 3 lepton masses    - 6 quark masses    - 1 unified constant  - **Call:** Open verification by the computational and theoretical physics community, ideally using HPC environments.  

## Data Management and Environment- **Storage:** Raw lattice data can be saved as per-condition `.npy` files.  - **Summaries:** `runs_summary.csv` generated from the master results file.  - **Scaling law:** Derived as a secondary analysis.  - **Execution:** Google Drive paths supported; Google Cloud VM recommended for large-scale runs.  

## CitationIf you use this dataset, please cite as:

LEE, Song-Bin (2025). *Quantum Holographic Emergence of Spacetime Theory (QUEST): Final Verification Dataset*. Zenodo. https://doi.org/10.5281/zenodo.17252366
DOI: 10.15468/dl.zjb2ev
title: Occurrence Download

description: A dataset containing 56075 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Tetraonid line transect surveys from Norway: Data from Fjellstyrene"
 ]
}

 The dataset includes 56075 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011510-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6dd6v
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fauna Asociada A la Palma de Vino (Attalea butyracea)"
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011513-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17504607
title: DAFbind
DOI: 10.15468/dl.rjawjt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Accipiter_albogularis)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011514-251025141854904/datasets/export for details.
DOI: 10.15468/dl.7e784e
title: Occurrence Download

description: A dataset containing 175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus variabilis",
 "Year 1995-2025"
 ]
}

 The dataset includes 175 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011515-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17506041
title: Open Data_The Influence of ChatGPT Usage Intensity on Gen Z Students' Academic Performance through Perceived Information Quality and Perceived Usefulness, with Academic Self-Efficacy as a Moderating Variable
DOI: 10.5281/zenodo.17506042
title: Open Data_The Influence of ChatGPT Usage Intensity on Gen Z Students' Academic Performance through Perceived Information Quality and Perceived Usefulness, with Academic Self-Efficacy as a Moderating Variable
DOI: 10.5519/qd.uqsekz18
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (18 records)
DOI: 10.15468/dl.pecua3
title: Occurrence Download

description: A dataset containing 5945 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-7.16426 43.75586,-8.08887 43.98293,-9.12523 43.52793,-9.56213 42.75692,-8.99315 41.9611,-8.9017 41.80981,-8.42416 42.04415,-8.17015 41.7492,-7.67229 41.73404,-7.19475 41.77951,-6.56871 41.89083,-6.12223 42.46314,-6.13424 43.77802,-7.16426 43.75586))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Castanea sativa"
 ]
}

 The dataset includes 5945 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011516-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17506159
title: YOSHLARDA SUITSIDAL XULQNI OLDINI OLISH UCHUN PSIXOLOGIK IMMUNITETNI SHAKLLANTIRISH
DOI: 10.5281/zenodo.17506160
title: YOSHLARDA SUITSIDAL XULQNI OLDINI OLISH UCHUN PSIXOLOGIK IMMUNITETNI SHAKLLANTIRISH
DOI: 10.15468/dl.kuvzyh
title: Occurrence Download

description: A dataset containing 3171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is 341acb6e-2ed2-4c13-af14-5e00173e15f8",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 3171 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011518-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8djnb4
title: Occurrence Download

description: A dataset containing 13420 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus crispula",
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13420 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011517-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7j768k
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Accipiter albogularis)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011519-251025141854904/datasets/export for details.
DOI: 10.34740/kaggle/dsv/13585918
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.r8394b
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Accipiter badius)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011520-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.17506173
title: MAKTABGACHA TA'LIM TASHKILOTLARIDA TARBIYALANUVCHILARNING IJTIMOIY XULQINI TARBIYALASH ASPEKTLARI VA ILG'OR XORIJIY TAJRIBALAR TAHLILI.
DOI: 10.5281/zenodo.17506174
title: MAKTABGACHA TA'LIM TASHKILOTLARIDA TARBIYALANUVCHILARNING IJTIMOIY XULQINI TARBIYALASH ASPEKTLARI VA ILG'OR XORIJIY TAJRIBALAR TAHLILI.
DOI: 10.15468/dl.fy27dm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Gallus gallus)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011521-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.17506181
title: РАЗВИТИЕ ФИНТЕХ-ИНФРАСТРУКТУРЫ И ЦИФРОВЫХ ПЛАТЕЖНЫХ СИСТЕМ КАК ФАКТОР ПОВЫШЕНИЯ ДОВЕРИЯ И БЕЗОПАСНОСТИ В БАНКОВСКОМ СЕКТОРЕ УЗБЕКИСТАНА
DOI: 10.5281/zenodo.17506182
title: РАЗВИТИЕ ФИНТЕХ-ИНФРАСТРУКТУРЫ И ЦИФРОВЫХ ПЛАТЕЖНЫХ СИСТЕМ КАК ФАКТОР ПОВЫШЕНИЯ ДОВЕРИЯ И БЕЗОПАСНОСТИ В БАНКОВСКОМ СЕКТОРЕ УЗБЕКИСТАНА
DOI: 10.5281/zenodo.17506190
title: BOSHLANG'ICH SINFLARDA SINTAKSISGA OID BILIMLARNING MAZMUNI VA DIDAKTIK ASOSLARI
DOI: 10.5281/zenodo.17506191
title: BOSHLANG'ICH SINFLARDA SINTAKSISGA OID BILIMLARNING MAZMUNI VA DIDAKTIK ASOSLARI
DOI: 10.21227/7ydw-c434
title: "SOTA_article_for_CEM_SI_Revision_3_Supplimentary_Material_"

description: "This dataset conforms comprehensive information on ISAC systems, emphasizing their active\/emerging specifications and standards, as well as their feasibility analysis within the emerging Internet of Consumer Electronics ecosystem.   "
DOI: 10.6084/m9.figshare.28910000
title: 四色定理证明

description: 四色定理证明
DOI: 10.6084/m9.figshare.28910000.v5
title: 四色定理证明

description: 四色定理证明
DOI: 10.6084/m9.figshare.28910000.v6
title: 四色定理证明

description: 四色定理证明
DOI: 10.5281/zenodo.17459488
title: REMCO: Aversive learning retroactively prioritizes neutral episodic memories structured by prior knowledge of predictive sequences

description: Author information has been withheld to preserve anonymity during double-blind peer review. Full metadata will be updated upon publication.
DOI: 10.5281/zenodo.17459487
title: REMCO: Aversive learning retroactively prioritizes neutral episodic memories structured by prior knowledge of predictive sequences

description: Author information has been withheld to preserve anonymity during double-blind peer review. Full metadata will be updated upon publication.
DOI: 10.5281/zenodo.17506201
title: MILLIY EPOSLARDAGI OT BILAN BOG'LIQ O'YINLAR VA BOSHQA O'YINLAR TAHLILI
DOI: 10.5281/zenodo.17506202
title: MILLIY EPOSLARDAGI OT BILAN BOG'LIQ O'YINLAR VA BOSHQA O'YINLAR TAHLILI
DOI: 10.5281/zenodo.17506209
title: DAVLAT MOLIYASINI BOSHQARISHDA MOLIYAVIY TEXNOLOGIYALAR (IT) TIZIMIDAN FOYDALANISH
DOI: 10.5281/zenodo.17506210
title: DAVLAT MOLIYASINI BOSHQARISHDA MOLIYAVIY TEXNOLOGIYALAR (IT) TIZIMIDAN FOYDALANISH
DOI: 10.15468/dl.g3bnc3
title: Occurrence Download

description: A dataset containing 2360 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-7.03737 43.56936,-7.81 43.95698,-9.49829 43.62341,-9.48488 42.90018,-8.86277 41.89334,-8.29387 42.19826,-8.08309 42.06729,-8.05034 41.98134,-7.51418 41.8606,-7.21336 42.01408,-6.98825 41.97929,-6.74473 42.30877,-7.0783 42.53387,-6.93914 42.74875,-6.96984 43.01069,-7.18471 43.40155,-7.03737 43.56936))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Castanea sativa"
 ]
}

 The dataset includes 2360 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011523-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ryg4q9
title: Occurrence Download

description: A dataset containing 751316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "GadmGid is CHN.2_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2015-2025"
 ]
}

 The dataset includes 751316 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011508-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17506184
title: MRV panel dataset — Montréal, London, Tokyo (1900–2050)

description: MRV Panel Dataset — Montreal, London, Tokyo (1900–2050)======================================================

Contents--------- `MRV_Data_and_Appendices.xlsx` — Author-provided Excel package (6 sheets).- `S1_Data_Mtl_London_Tokyo_clean.csv` — Clean machine-readable table of the main panel used in the paper.- `S2_Data_Register_Montreal.csv` — Montreal variable dictionary / availability / provenance.- `S3_Data_Register_London_Tokyo.csv` — London & Tokyo variable dictionary / availability / provenance.- `S4_Unitization_and_Coefficients_clean.csv` — City-level constants and drop-in coefficients.- `S5_Data_Source_References.csv` — Vancouver-style dataset references (one per row).
DOI: 10.13140/rg.2.2.35824.11525
title: Parabuteo at Gyula
DOI: 10.5281/zenodo.17454430
title: DATASET On Accurate Modelling of Ultrafine Particle Charging in Electrostatic Precipitators for Small-Scale Biomass Combustion

description: This repository contains measured data that correspond to article On Accurate Modelling of Ultrafine Particle Charging in Electrostatic Precipitators for Small-Scale Biomass Combustion.

The work was supported by the OP JAK project "INOVO!!!", No. CZ.02.01.01/00/23_021/0008588 supported by the Ministry of Education, Youth and Sports and co-financed by the European Union.
DOI: 10.5281/zenodo.17454431
title: DATASET On Accurate Modelling of Ultrafine Particle Charging in Electrostatic Precipitators for Small-Scale Biomass Combustion

description: This repository contains measured data that correspond to article On Accurate Modelling of Ultrafine Particle Charging in Electrostatic Precipitators for Small-Scale Biomass Combustion.

The work was supported by the OP JAK project "INOVO!!!", No. CZ.02.01.01/00/23_021/0008588 supported by the Ministry of Education, Youth and Sports and co-financed by the European Union.
DOI: 10.5281/zenodo.17501927
title: Eit farsal – Parallel Corpus (Breton Vannetais / French) – KorpusGW_FINAL _DATA_1.0

description: Eit Farsal – Parallel Corpus (Breton Vannetais / French) – KorpusGW_FINAL_DATA v1.0is part of the IAgwened Project, an independent research and development initiative focused on Breton language technologies, with special attention to the Vannetais (Gwenedeg) dialect.

This dataset provides a sentence-aligned parallel corpus derived from Eit Farsal (Loeiz Herrieu, 1904), a satirical text written in Breton (Vannetais dialect) and translated into French.The corpus has been normalized, segmented, and carefully reviewed to ensure compatibility with natural language processing tools and machine translation frameworks such as Apertium.

The FINAL_DATA version contains clean, aligned text without annotations.Complementary versions (FINAL_ANNOTATED and FINAL_NORMALIZED) are available for linguistic research.
DOI: 10.5281/zenodo.17501928
title: Eit farsal – Parallel Corpus (Breton Vannetais / French) – KorpusGW_FINAL _DATA_1.0

description: Eit Farsal – Parallel Corpus (Breton Vannetais / French) – KorpusGW_FINAL_DATA v1.0is part of the IAgwened Project, an independent research and development initiative focused on Breton language technologies, with special attention to the Vannetais (Gwenedeg) dialect.

This dataset provides a sentence-aligned parallel corpus derived from Eit Farsal (Loeiz Herrieu, 1904), a satirical text written in Breton (Vannetais dialect) and translated into French.The corpus has been normalized, segmented, and carefully reviewed to ensure compatibility with natural language processing tools and machine translation frameworks such as Apertium.

The FINAL_DATA version contains clean, aligned text without annotations.Complementary versions (FINAL_ANNOTATED and FINAL_NORMALIZED) are available for linguistic research.
DOI: 10.5281/zenodo.17506238
title: RASMIY NUTQDA XUSHMUOMALALIK STRATEGIYALARINING QO`LLANILISHI
DOI: 10.5281/zenodo.17506239
title: RASMIY NUTQDA XUSHMUOMALALIK STRATEGIYALARINING QO`LLANILISHI
DOI: 10.15468/dl.4syvrf
title: Occurrence Download

description: A dataset containing 1074319 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 1074319 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011524-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17491603
title: Dataset3: Fundus Image Dataset for Diabetic Retinopathy Classification

description: This dataset supports the research article titled "RetinoNet: An EfficientNet and Feature Pyramid Network-Based Framework for Accurate Diabetic Retinopathy Classification". It contains preprocessed fundus images categorised by diabetic retinopathy severity levels (class 0–4). The preprocessing pipeline includes CLAHE contrast enhancement, denoising, and GrabCut segmentation to improve lesion visibility. This Zenodo record mirrors the Kaggle repository (https://www.kaggle.com/datasets/anithajaikumar/dataset3) and contains the same files for DOI-based citation and archival.
DOI: 10.5281/zenodo.17491602
title: Dataset3: Fundus Image Dataset for Diabetic Retinopathy Classification

description: This dataset supports the research article titled "RetinoNet: An EfficientNet and Feature Pyramid Network-Based Framework for Accurate Diabetic Retinopathy Classification". It contains preprocessed fundus images categorised by diabetic retinopathy severity levels (class 0–4). The preprocessing pipeline includes CLAHE contrast enhancement, denoising, and GrabCut segmentation to improve lesion visibility. This Zenodo record mirrors the Kaggle repository (https://www.kaggle.com/datasets/anithajaikumar/dataset3) and contains the same files for DOI-based citation and archival.
DOI: 10.5281/zenodo.17506165
title: Analisa Kegagalan Nokia Menggunakan Analisis  SWOT
DOI: 10.5281/zenodo.17506166
title: Analisa Kegagalan Nokia Menggunakan Analisis  SWOT