ane
Datasets
All datasets matching “ane”tennis-sackmann-archive
Tennis datasets — archive of Jeff Sackmann's data
This dataset is an archival mirror of the public tennis datasets compiled by Jeff Sackmann.
It exists so the data remains available and citable. It contains only data and its documentation —
no models, analysis, or derived code.
A matching mirror lives on GitHub: https://github.com/Aneeshers/tennis-sackmann-archive
Contents
Folder
What it is
Files
Coverage
slam_pointbypoint/
Point-by-point logs for the… See the full description on the dataset page: https://huggingface.co/datasets/Aneeshers/tennis-sackmann-archive.Aneumo
Aneumo Datasets
AneumoDataset is a comprehensive multi-modal dataset containing 3D anatomical structures and simulated hemodynamic parameters for cerebral aneurysms, supporting both computational modeling and AI-based analysis.
AneuG-Flow
AneuG-Flow Dataset
Dataset Description
AneuG-Flow is a comprehensive dataset for intracranial aneurysm hemodynamics, containing computational fluid dynamics (CFD) simulations of blood flow through synthetic aneurysm morphologies generated by a generative model AneuG [1].
Dataset Summary
This dataset provides:
730 aneurysm cases with transient (time-varying) flow simulations
High-resolution 3D geometries (original and remeshed)
Blood flow data and wall shear… See the full description on the dataset page: https://huggingface.co/datasets/whding123/AneuG-Flow.anemia-survey-dataset
Anemia Detection — Multi-Modal Clinical SEWA Rural Dataset
Organisation: SEWA Rural — Society for Education, Welfare and Action (Rural), Jhagadia, Gujarat, India
Dataset: sewa-rural-care/anemia-survey-dataset
Contact: sewarural@ymail.com
Version: 1.0 — July 2026
Dataset Summary
This dataset supports research into non-invasive, smartphone-based anemia
screening applicable to low-resource and rural healthcare settings. It was
collected by SEWA Rural — a non-profit… See the full description on the dataset page: https://huggingface.co/datasets/sewa-rural-care/anemia-survey-dataset.cerebro-anexosan_emAnEM corpus is a domain- and species-independent resource manually annotated for anatomical
entity mentions using a fine-grained classification system. The corpus consists of 500 documents
(over 90,000 words) selected randomly from citation abstracts and full-text papers with
the aim of making the corpus representative of the entire available biomedical scientific
literature. The corpus annotation covers mentions of both healthy and pathological anatomical
entities and contains over 3,000 annotated mentions.