πŸ“Š
OceanVariableReconstruction dataset by Simon Donike
⭐ 60.3
πŸ“Š
Dataset

OceanVariableReconstruction

by Simon Donike simon-donike/oceanvariablereconstruction
Free2AITools Nexus Index
60.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 62
P: Popularity 52
R: Recency 96
Q: Quality 50
Tech Context
Vital Performance —
Source β†’
Data Integrity 60.3 FNI Score
- Size
- Rows
- Tokens
Dataset Information Summary
Entity Passport
Registry ID simon-donike/oceanvariablereconstruction
License CC-BY-4.0
Provider huggingface
πŸ“œ

Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset_simon_donike_oceanvariablereconstruction,
  author = {Simon Donike},
  title = {OceanVariableReconstruction Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/simon-donike/OceanVariableReconstruction}},
  note = {Accessed via Free2AITools.}
}
APA Style
Simon Donike. (2026). OceanVariableReconstruction [Dataset]. Free2AITools. https://huggingface.co/datasets/simon-donike/OceanVariableReconstruction

πŸ”¬Technical Deep Dive

Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 62
Popularity (P) 52
Recency (R) 96
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for OceanVariableReconstruction: Authority (A:62), Popularity (P:52), Recency (R:96), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
⬇️
Downloads
34,275

πŸ‘οΈ Data Preview

πŸ“Š

Row-level preview not available for this dataset.

Schema structure is shown in the Field Logic panel when available.

πŸ”— Explore Full Dataset β†—

🧬 Field Logic

🧬

Schema not yet indexed for this dataset.

Dataset Specification

Banner Image

Open Documentation Open GitHub

DepthDif GeoTIFF Raster and Aligned ARGO Dataset

This dataset package contains the model-ready Ocean variables (ARGO submarine data, sea surface height, sea surface temperature and salinity, as well as GLORYS reanalysis information for 50 depth levels. The ARGO data has been projected onto the GLORYS grid in order to build a ML-ready dataset. The intention is that users can create tensors easily for CV-inspired ML approaches to ocean-variable reconstruction. While traditionally this problem has been approached point-wise, this dataset enables easy training of CV models such as inpainitng-inspired approaches.

Dataset Preview

Rasterized Argo-profiles aligned with GLORYS product, examples:

Random surface-level training dataset patches

OceanTACO is a concurrent development of a related global ocean dataset built from overlapping source products. We focus on L4 products and make some assumptions for the users in order to enable comparative benchmarks. If you want easy access to the actual underlying data, check out this dataset.

Social Proof

HuggingFace Hub
34.3KDownloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-dataset--simon-donike--oceanvariablereconstruction
slug
simon-donike--oceanvariablereconstruction
source
huggingface
author
Simon Donike
license
CC-BY-4.0
tags
license:other, size_categories:1m<n<10m, format:parquet, modality:image, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, oceanography, argo, glorys, ostia, sea-level, sea-surface-salinity, geotiff, zarr, license:cc-by-4.0

βš™οΈ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

πŸ“Š Engagement & Metrics

downloads
34,275
stars
null
forks
null

Data indexed from public sources. Updated daily.