cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/cdw4rn8xz2.2
title: Alocasia macrorrhizos

description: (Alocasia macrorrhizos)
This dataset contains 1,000 samples of made from Alocasia macrorrhizos, classified into two categories: Good (500 samples) and Bad (500 samples). The classification is based on various sensory, chemical, and microbial properties that influence the quality of the dish.

Dataset Structure
Each sample is labeled as either Good or Bad, and the dataset includes multiple features that represent the characteristics affecting classification.

1. Sensory Attributes
Color Intensity (CI): Measured on a scale (e.g., RGB values, Lab* scale)
Texture (TX): Softness, hardness, and granularity assessed through image processing or tactile sensors
Aroma (AR): Measured using an electronic nose or human sensory evaluation (e.g., aromatic intensity, pungency)
Taste Profile (TP): Quantified as bitterness, sweetness, or spiciness (e.g., on a scale of 1-10)
2. Chemical Composition
pH Value (pH): Indicates acidity or alkalinity (e.g., 5.5–7.5 range)
Moisture Content (MC%): Percentage of water content in the sample
Protein Content (PC%): Amount of protein in grams per 100g of sample
Fat Content (FC%): Percentage of fats present
Carbohydrate Content (CC%): Percentage of total carbohydrates
Phenolic Content (PC mg/kg): Antioxidant levels measured in milligrams per kilogram
Toxic Oxalate Levels (OL mg/kg): Presence of calcium oxalate, which can affect edibility
3. Microbial and Spoilage Indicators
Total Plate Count (TPC CFU/g): Number of bacterial colonies per gram
Yeast and Mold Count (YMC CFU/g): Presence of fungi indicating spoilage
Pathogen Presence (PP): Binary variable (Yes/No) indicating harmful bacteria like E. coli or Salmonella
4. Preparation and Cooking Variables
Cooking Time (CT min): Duration of cooking in minutes
Cooking Temperature (CTemp °C): Temperature in degrees Celsius
Ingredient Ratio (IR): Proportion of spices, water, and oil used
Classification Labels
Good (1): Samples meeting acceptable sensory, chemical, and microbial standards
Bad (0): Samples failing in sensory, chemical, or microbial quality
DOI: 10.17632/c7n77bdtcm.1
title: Bilingual Question-Answering Dataset on Financial Literacy for Bengali Speakers

description: This is a bilingual question-answering dataset aimed at improving financial literacy for Bengali speakers. 

It contains a total of 10,412 Q&A pairs, split equally into 5,206 pairs in Bangla and 5,206 pairs in English.

The dataset is constructed from financial contexts extracted from PDFs on the National Board of Revenue (NBR) website.
DOI: 10.15468/dl.njhndd
title: Occurrence Download

description: A dataset containing 213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cochliomyia hominivorax (Coquerel, 1858)"
 ]
}

 The dataset includes 213 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003440-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6vttpjr7xw.1
title: Jujube Diseases Identification Image Dataset

description: The Jujube Diseases Identification Image Dataset provides high-resolution images and precise measurements of various jujube diseases, capturing key attributes such as size, color, and texture. This dataset serves as a valuable resource for agricultural research, offering detailed morphological and spectral data to aid in disease detection, classification, and management. Researchers can leverage these insights to refine cultivation techniques and enhance resistance to pests and diseases.
Dataset Overview
• Total Images: 720 original images, captured in real-world field conditions
• Augmented Images: 4,320 (generated using data augmentation techniques)
Augmentation Pipeline
To enhance dataset diversity and improve model generalization, the following augmentation techniques were applied:
1. Horizontal flipping (50% probability)
2. Vertical flipping (30% probability)
3. Random brightness and contrast adjustments
4. Rotation within a range of -30° to +30°
5. Shear transformation along both X and Y axes
6. Addition of random noise
This enriched dataset provides a robust foundation for developing deep learning models for automated jujube disease identification, contributing to precision agriculture and improved disease management strategies.
DOI: 10.17632/wk7gkpwy33.1
title: Deep Q-Network Enabled Low Complexity Beam Alignment

description: The code of using the DQN algorithm for beam alignment.
DOI: 10.17632/wk7gkpwy33.2
title: Deep Q-Network Enabled Low Complexity Beam Alignment

description: The code of paper " Deep Q-Network Enabled Low Complexity Beam Alignment"
DOI: 10.6084/m9.figshare.28430894
title: Data for the Risk-adjusted DRL

description: The dataset contains the historical data used in the paper for all four markets. Also, In the results folders, this dataset also contains the data sheets used to generate the figures and tables used in our manuscript.
DOI: 10.6084/m9.figshare.28430894.v1
title: Data for the Risk-adjusted DRL

description: The dataset contains the historical data used in the paper for all four markets. Also, In the results folders, this dataset also contains the data sheets used to generate the figures and tables used in our manuscript.
DOI: 10.17632/6p9hxh29xs.1
title: Density functional theory calculations for oxidation of thiophenols by electrogenerated superoxide in N,N-dimethylformamide

description: DFT data was calculated using the Becke three-parameter Lee–Yang–Parr (B3LYP), Minnesota 06 (M06-2X), and TPSSh functionals implemented in the Gaussian 16 Program package.
DOI: 10.15468/dl.gtgwpe
title: Occurrence Download

description: A dataset containing 51160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lupinus polyphyllus Lindl.",
 "Country is Sweden",
 "HasCoordinate is true",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 51160 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003441-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5skncd
title: Occurrence Download

description: A dataset containing 4546 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-16.89893 32.63517,-16.8238 32.63517,-16.8238 32.66853,-16.89893 32.66853,-16.89893 32.63517))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 4546 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003442-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mtycnnk3jg.1
title: Research data for TEX19 gene

description: The raw data for qRT-PCR results of TEX19 gene
DOI: 10.17632/9f5myhx6jy.1
title: Fast, Accurate, and Versatile Data Analysis Platform for the Quantification of Molecular Spatiotemporal Signals. Xuelong Mi

description: The datasets used in the paper "Fast, Accurate, and Versatile Data Analysis Platform for the Quantification of Molecular Spatiotemporal Signals."

Due to the size limit of Mendeley, Figure 4, Figure S6, and Figure S7 will be shared by the lead contact upon request.
DOI: 10.17632/9f5myhx6jy.2
title: Fast, Accurate, and Versatile Data Analysis Platform for the Quantification of Molecular Spatiotemporal Signals. Xuelong Mi

description: The datasets used in the paper "Fast, Accurate, and Versatile Data Analysis Platform for the Quantification of Molecular Spatiotemporal Signals."

Due to the size limit of Mendeley, Figure 4, Figure S6, and Figure S7 will be shared by the lead contact upon request.
DOI: 10.15468/dl.u67kjt
title: Occurrence Download

description: A dataset containing 22470 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "TaxonKey is Sagittariidae"
 ]
}

 The dataset includes 22470 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003445-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/v8536j99r5.1
title: Qualitative analysis of the reflection of the mathematical dimension of gambling in gaming online content

description: Mathematics is strongly connected to gambling through the mathematical models underlying any game of chance. Mathematics is reflected not only in games’ design/characteristics and their outcomes, but also in gamblers’ perception and knowledge of the mathematics-related facts of gambling – which influence their gambling behavior. The math-indispensability principle applies not only in problem-gambling research, but also in the gambling industry. The structural, informative, strategic, psychological, pathological, and ethical aspects of gambling have been identified to be grounded in the mathematics of games and gambling. In this theoretical framework, research is able to derive concrete norms and criteria to adequately reflect the mathematical dimension of gambling in the communication and texts associated with the gambling industry. These norms and criteria of adequacy will be further communicated to policy and decision makers in both governmental and private sectors, with the recommendation for implementation. Our study aims to evaluate qualitatively the reflection of the mathematical dimension of gambling in the content of gambling websites. This analysis is necessary in order to have an objective and concrete image of the actual state of this matter in the online industry and of the challenges that such research and application would face in the real world of gambling. A minimum number of 600 gambling websites will be reviewed annually for their content in that respect. A statistical analysis will record the presence of the mathematical dimension of gambling and its forms in the content of participating websites, and a qualitative research will analyze and assess the quality of the content with respect to that dimension..
DOI: 10.17632/mzh9x3v2hd.1
title: Soyachans

description: Data Description: Good and Bad Soybean (Glycine max) Classification

1. Overview

The dataset consists of over 500 images of soybean (Glycine max) samples, categorized into "good" and "bad" classes. The objective is to develop a classification model to distinguish between high-quality and defective soybeans based on visual features.

2. Data Collection

Total Samples: 500+ images

Categories: Good soybeans, Bad soybeans

Camera Used: Xiaomi 11i mobile camera

Lighting Conditions: Natural daylight

Background: White


3. Image Characteristics

Resolution: High-resolution images ensuring clarity for classification

Color Balance: White background helps in minimizing noise and improving segmentation

Consistency: Captured under uniform lighting conditions for reliable analysis


4. Good Soybean Characteristics

Uniform shape and size

Smooth and clean surface

Consistent golden-yellow color

No visible cracks, shriveled texture, or discoloration


5. Bad Soybean Characteristics

Irregular or damaged shape

Presence of cracks, holes, or shriveled texture

Dark spots, fungal growth, or discoloration

Deformed or broken seeds


6. Potential Applications

Automated quality control in soybean processing

Agricultural research and seed selection

Development of AI-driven classification models


This dataset serves as a robust foundation for training machine learning models to classify good and bad soybeans accurately. Let me know if you need further refinements or additional details!
DOI: 10.15468/dl.bv4zta
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Month is September",
 "TaxonKey is Campephilus principalis principalis"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003447-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/td4c6p4x9n.1
title: IVF_Raw_Data

description: This Dataset is used to examine the relationship between in vitro fertilization (IVF) treatment and nutritional factors
DOI: 10.17632/9nw3nsjc9t
title: P-Fe-Al data of the Middle-Late Triassic Yanchang Formation

description: Elemental composition (P, Fe, and Al) of the Chang 7 Member from the Yanchang Formation in the Ordos Basin, North China.
DOI: 10.17632/9nw3nsjc9t.1
title: P-Fe-Al data of the Middle-Late Triassic Yanchang Formation

description: Elemental composition (P, Fe, and Al) of the Chang 7 Member from the Yanchang Formation in the Ordos Basin, North China.
DOI: 10.15468/dl.aa6daa
title: Occurrence Download

description: A dataset containing 19999 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registros de especies priorizadas de mamíferos de Colombia, recopilados a partir de la información de fototrampeo"
 ]
}

 The dataset includes 19999 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003448-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/d84224w393.1
title: Treatment of Hepatocellular Carcinoma at Special Sites with Ultrasound-Guided Pulsed Microwave Ablation

description: Pictorial data on the treatment of hepatocellular carcinoma at specific sites with ultrasound-guided pulsed microwave ablation
DOI: 10.15468/dl.s6f5qf
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registro de mamíferos de un bosque húmedo tropical en el municipio de Nuquí, Chocó. 2020"
 ]
}

 The dataset includes 109 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003451-250214102907787/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.28430909
title: tmRNA database

description: Database of unique tmRNA sequences [accompanying Nawrocki, Petrov, Williams, 2025. Expansion of the tmRNA sequence database and new tools for search and visualization. NAR Genom Bioinformatics]. Columns:Unique IDGene formGene segments and their positions on the segmentsEncoded proteolytic tag sequenceGenetic code used for tag translation (https://en.wikipedia.org/wiki/List_of_genetic_codes)Comma-separated scores from Aragorn v1.2.40 and the CMs alpha_tmRNA, beta_tmRNA, cyano_tmRNA, permuted_tmRNA, mt-tmRNA, tmRNA, tmRNA_standard, tmRNA_intronTaxonomy (for prokaryotes, from GTDB release 214)Gene sequence with lower case marking tag CDS, intervening sequence (IVS), and bases corresponding to CCA tailCount of known instances of this sequenceKnown instances ([assembly ID for prokaryotes/]GenBank accession/coordinates)Search phase (see Methods)Note
DOI: 10.17632/4p3p963j5w.1
title: ‘হে অন্তর একাকী—তোমার এই বিম্বরূপখানি, তোমার কাহিনী’ (সেপ্টেম্বর ২০১০)

description: বইটি লিখেছিলেন ২০০৪ থেকে ২০০৭ এর মধ্যে। বইটি প্রকাশ করেছিলেন ‘এবং কথা’ পত্রিকার উদ্যোগে ২০১০ সালে। আজ থেকে কুড়ি বছর আগে এরকম একটা বই লেখার ভাবনা যাঁর মাথায় এসেছিল তিনি কতটা ব্যতিক্রমী ঘরানার মানুষ তা সে যুগের পরিপ্রেক্ষিতে ভাবা খুব মুশকিল ছিল। কেননা এই বইটির আগেও তিনি আরো কয়েকটি বই লিখেছিলেন। সবগুলোই ছিল ভিন্ন ধারার। এইরকম ধারার বইয়ের পাঠক যেমন সেই যুগেও বিরল, এই যুগেও বিরল। তাই অনেকগুলি বই লেখার পরও এই লেখককে আমরা চিনতে পারি না। সমাদারও করি না। তিনি অপঠিত, অনালোচিত, অশ্রুতই থেকে যান আমাদের কাছে। প্রায় কুড়ি বছর পর তাঁর এই বইটি আজ আমি পাঠ করলাম। বইটি কোন দিক দিয়ে ব্যতিক্রমী? এ প্রশ্ন নিশ্চয়ই সকলের মনে উদয় হবে। আমি প্রথমেই অবাক হয়েছি তাঁর গদ্য লেখার ভঙ্গি দেখে। বর্ণনাত্মক গদ্য হলেও তার আঙ্গিক সৌষ্ঠব, বিশেষণ, চিত্রধর্মিতা, শব্দের পৌনঃপুনিকতা, ক্রিয়া সংযোগ, গল্পকে না-গল্পের পর্যায়ে পৌঁছে দেওয়া খুব সহজভাবে সংঘটিত হয়েছে।
না, এমন গদ্য চালে এমন কোনো সাহিত্য আমার পড়া নেই। কাহিনির একমুখীনতায় আদি-মধ্য-অন্তরূপের মধ্য দিয়েই সমাপন্তে আমি পৌঁছেছি। কিন্তু এরকম বিচ্ছিন্নতায় বহুরূপ, বহুমুখ, বহু অন্তরাল, বহু অসামঞ্জস্য এবং বহু জীবনের ক্রান্তিলগ্নগুলি সেভাবে কখনো স্পর্শ করিনি। না আত্মজীবনী, না উপন্যাস, না ছোটগল্প, না প্রবন্ধ, না রম্যরচনা কোনো পর্যায়েই যেমন একে ফেলতে পারছি না—তেমনি এক উপলব্ধির আত্মরসায়নে জারিত ডায়েরির মতো মনে হয়েছে। কখনো কল্পনা, কখনো বাস্তবতা, কখনো সচেতনতা, কখনো স্বয়ংক্রিয়তা, কখনো একাকিত্ব, কখনো বহুত্ব সবকিছুর মধ্যেই তাঁর দেখা পেয়েছি। নিজ সত্তার বহুমুখী প্রজ্ঞায় বহুমুখী অনুধাবন—কখনো চোখ, কখনো হৃদয়; কখনো মন, কখনো দেহ; কখনো নিজ, কখনো পরিপার্শ্ব; কখনো বর্তমান, কখনো অতীত ছবি উঠে এসেছে। নিজে কখনো প্রকাশ্য, কখনো আড়ালে, কখনো ব্যক্তিবাচক সর্বনামে সক্রিয় থেকেছেন। এই সেই বই ‘হে অন্তরএকাকী—তোমার এই বিম্বরূপখানি, তোমার কাহিনী’(সেপ্টেম্বর ২০১০)।লেখক স্বপন চক্রবর্তী। 
আমরা চিনতে পারিনি তাঁকে। নিজ অন্তরের বিম্বরূপখানি অনন্ত প্রজ্ঞায় কিভাবে ছায়াছন্ন হয়ে উঠেছে, কাহিনির চিরাচরিত রীতি ভেদ করে বিশ্বরূপখানির আঙিনায় কিভাবে তা ছড়ানো আছে সর্বকালের সর্ব মানুষে, সর্ব জীবনের প্রাপ্তি ও শূন্যতায়, অশ্রুতে ও হাসিতে তা তিনি তুলে এনেছেন। তাই একটি জীবনের একটি অভিমান বা একটি পরাজয় বা একটি সাফল্য তিনি লিখেননি; বহু জীবনের ভিড়কে চিরন্তন জীবনের মোড়কে আত্ম-অনুজ্ঞায় সংলাপবিদ্ধ করেছেন। কোথাও কোথাও কাব্য নাটকের লক্ষণ, কোথাও কোথাও নিছক কাব্য, আবার কোথাও কোথাও রূপকাশ্রিত আখ্যান হয়ে উঠেছে। সব ঘটনা, সব চিত্রকল্পের মাঝখানে তিনি উপস্থিত থেকেছেন। তিনি যেমন স্মৃতির পথে হেঁটেছেন, বর্তমানের পথেও চোখ মেলে দেখেছেন। চোখের সামনে যা পড়েছে, আত্মগত উপলব্ধিতে যা সঞ্চিত হয়েছে—সেইটুকুই নিংড়ে বের করেছেন। অতি নাটকীয়তা বা জাদুবাস্তবতা বা কল্পবিজ্ঞানের দ্বারস্থ হননি।
DOI: 10.17632/6448r4rb6b
title: LGBTQ CRM Research

description: Identity diversity data set
DOI: 10.17632/6448r4rb6b.1
title: LGBTQ CRM Research

description: Identity diversity data set
DOI: 10.17632/gr43vkr4s6.1
title: Spatial control of m6A deposition on enhancer and promoter RNAs through co-acetylation of METTL3 and H3K27 on chromatin

description: Original data of this paper
DOI: 10.17632/5n8jnwfvwx.1
title: Appendix A. The research process and results of the adapted MoToM task

description: This study has made several modifications to the original Morally-relevant Theory of Mind task to better align the task content with the research needs. In this research process, we conducted two adult experiments and one child experiment.
DOI: 10.17632/6s8z9cyh78.1
title: Programmable cell aggregation by a synthetic biosilicification approach

description: The source data for the paper "Programmable cell aggregation by a synthetic biosilicification approach".
DOI: 10.17632/6s8z9cyh78.2
title: Programmable cell aggregation by a synthetic biosilicification approach

description: The source data for the paper "Programmable cell aggregation by a synthetic biosilicification approach".
DOI: 10.17632/6s8z9cyh78.3
title: Programmable cell aggregation by a synthetic biosilicification approach

description: The source data for the paper "Programmable cell aggregation by a synthetic biosilicification approach".
DOI: 10.15468/dl.zuhaub
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Month is October",
 "TaxonKey is Campephilus principalis principalis"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003452-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5xwyr24kxc
title: VNN1-Driven ERK Pathway Activation in Ulcerative Colitis Progression Revealed by Machine Learning and Mendelian Randomization

description: RAW Data and codes
DOI: 10.17632/5xwyr24kxc.1
title: VNN1-Driven ERK Pathway Activation in Ulcerative Colitis Progression Revealed by Machine Learning and Mendelian Randomization

description: RAW Data and codes
DOI: 10.17632/32897xmjkr.1
title: Data used in: Sulfate formation through copper-catalyzed SO2 oxidation by NO2 at aerosol surfaces

description: The attached spreadsheet contains the datasets used in the article titled "Sulfate formation through copper-catalyzed SO2 oxidation by NO2 at aerosol surfaces", which is submitted to NPJ Climate and Atmospheric Science. 

Each tab of the spreadsheet was named per the corresponding figure in the main text and supplemental materials.
DOI: 10.13135/ela-416
title: Honours for Euphron of Sikyon
DOI: 10.17632/vtffyk8y7j.1
title: Supplemental: ASTCT and USCLC Clinical Practice Recommendations for Allogeneic Stem Cell Transplant in Mycosis Fungoides and Sézary Syndrome

description: Supplemental Table and Text
DOI: 10.17632/xj8wgsd9fr
title: Identifying the driving factors of soil nitrate nitrogen via multiple machine learning models and GIS in an intensive plain agricultural area, China

description: The dataset is composed of various covariants that influence content of soil nitrate nitrogen in a agricultrual area in North China Plain, includes N fertilizer input, physicochemical properties of soil, distance factors, remote sensing factors, etc., the data is presented in a Excel format.
DOI: 10.17632/xj8wgsd9fr.1
title: Identifying the driving factors of soil nitrate nitrogen via multiple machine learning models and GIS in an intensive plain agricultural area, China

description: The dataset is composed of various covariants that influence content of soil nitrate nitrogen in a agricultrual area in North China Plain, includes N fertilizer input, physicochemical properties of soil, distance factors, remote sensing factors, etc., the data is presented in a Excel format.
DOI: 10.17632/rhs88fdrwg.1
title: Trained Generative and Classification Models from "Generating Synthetic Past and Future States of Knee Osteoarthritis Radiographs Using Cycle-Consistent Generative Adversarial Neural Networks

description: This repository encompasses the fully trained Cycle-Consistent Generative Adversarial Neural Networks and the EfficientNetV2 Classification model from the paper "Generating Synthetic Past and Future States of Knee Osteoarthritis Radiographs Using Cycle-Consistent Generative Adversarial Neural Networks", published in Computers in Biology and Medicine (Elsevier) https://www.sciencedirect.com/science/article/pii/S0010482525001350. To load these models effectively, users must have TensorFlow/Keras installed and be running Python version 3.7 or higher.
DOI: 10.17632/rhs88fdrwg.2
title: Trained Generative and Classification Models from "Generating Synthetic Past and Future States of Knee Osteoarthritis Radiographs Using Cycle-Consistent Generative Adversarial Neural Networks"

description: This repository encompasses the fully trained Cycle-Consistent Generative Adversarial Neural Networks and the EfficientNetV2 Classification model from the paper "Generating Synthetic Past and Future States of Knee Osteoarthritis Radiographs Using Cycle-Consistent Generative Adversarial Neural Networks", published in Computers in Biology and Medicine (Elsevier) https://www.sciencedirect.com/science/article/pii/S0010482525001350. To load these models effectively, users must have TensorFlow/Keras installed and be running Python version 3.7 or higher.