datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
mcs-morphology-frames
MCS morphology — labeling frames
Two-panel radar plots (SL3D classification mask beside composite reflectivity) for
tracked mesoscale convective systems over the contiguous United States, packaged to be
served to the labeling platform at
https://huggingface.co/spaces/skyan1002/mcs-morphology-labeler.
Layout: {year}/track_{id}/{frame:03d}.png, where the frame number matches the index in
the original mcstrack_YYYYMMDD_HHMMSS_N.png file name and the time index of the
corresponding… See the full description on the dataset page: https://huggingface.co/datasets/skyan1002/mcs-morphology-frames.morphology4metrology-bnf2813
Dataset for BnF, fr. 2813 — Grandes Chroniques de France
Line-level dataset used in the experiments for the paper Leveraging Morphology for Historical Script Metrological Analysis (ICDAR 2026).
Annotator: Malamatenia Vlachou Efstathiou
Description
This dataset contains polygonal line extractions (with alpha transparency) and line-level transcriptions from the codex Paris, BnF, fr. 2813 (Grandes Chroniques de France).
The identifier btv1b84472995 refers to the ark… See the full description on the dataset page: https://huggingface.co/datasets/RaphaelBfr/morphology4metrology-bnf2813.sga2020_morphologygalaxy-morphology-classificationMorphology_Function_Framework
Morphology Function Framework
This repository links whole-slide-image (WSI) morphology to molecular function and patient survival. It is organized as five sub-projects that run in sequence (with one branch running in parallel), each documented independently with its own README.md and USAGE.md. This top-level document explains how the five sub-projects fit together, what data flows between them, and where to find detailed instructions.
Two branches converging on one… See the full description on the dataset page: https://huggingface.co/datasets/CarmeloAnthony/Morphology_Function_Framework.spike_morphology_neural_decision_dataset
Comprehensive Electrophysiological and Feature-Space Dataset
Dataset Overview
This dataset provides a multi-modal collection of features derived from single-unit electrophysiology recordings, aiming to characterize neuronal units based on their morphological, temporal, and spectral properties, as well as their representation in a latent embedding space and their classification via a neuro-symbolic model. The dataset is structured to facilitate advanced machine… See the full description on the dataset page: https://huggingface.co/datasets/naman-00/spike_morphology_neural_decision_dataset.mango-morphology-images