Omkar2118/datasets huggingface dataset:
PINO-geo_var-plate_stress

This dataset is well-structured for the physics-informed training of Neural operators for varying domain geometry, which provides the FEM results of solving a 2D plate stress problem in a domain geometry shape of a rectangle with four holes of different locations and sizes. The Github of the paper that first uses this dataset is: https://github.com/WeihengZ/PI-GANO.

Introducing paper: Physics-Informed Geometry-Aware Neural Operator
PINO-geo_var-darcy-polygon

This dataset is well-structured for the physics-informed training of Neural operators for varying domain geometry, which provides the FEM results of solving a darcy problem in a domain geometry shape of a polygon. The Github of the paper that first uses this dataset is: https://github.com/WeihengZ/PI-GANO.

Introducing paper: Physics-Informed Geometry-Aware Neural Operator
PC-GITA
Full name: PC-GITA

**PC-GITA** is a Spanish speech corpus designed to analyze speech impairments in individuals with Parkinson's Disease (PD). 

- **100 participants**: 50 with PD, 50 healthy controls (age- and gender-matched).
- Recorded in **noise-controlled conditions** with high-quality equipment.
- Tasks include: sustained vowels, syllable repetitions, reading, and monologues.

**Use Cases:**

1. **Speech disorder detection** using machine learning.
2. **PD progression monitoring** via speech analysis.

**Source**: [*"New Spanish speech corpus database for the analysis of people suffering from Parkinson’s disease"* by J.R. Orozco-Arroyave et al.](https://aclanthology.org/L14-1549/)
COph100

we introduce COph100, a novel and challenging dataset known as the Comprehensive
Ophthalmology Retinal Image Registration dataset for infants with a wide range of image quality issues constituting the public "RIDIRP" database. COph100 consists of 100 eyes, each with 2 to 9 examination sessions, amounting to a total of 491 image 
pairs carefully selected from the publicly available dataset. We manually labeled the corresponding ground truth image points and provided automatic vessel segmentation masks for each image.

Introducing paper: COph100: A comprehensive fundus image registration dataset from infants constituting the "RIDIRP" database