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Dataset

Aguatrack Arco Sa

by AguaTrack hf-dataset--aguatrack--aguatrack-arco-sa
Free2AITools Nexus Index
59.4 Top 100%
S: Semantic 50
A: Authority 62
P: Popularity 52
R: Recency 91
Q: Quality 50
Tech Context
Vital Performance
0 DL / 30D
0.0%
Data Integrity 59.4 FNI Score
- Size
- Rows
Parquet Format
- Tokens
Dataset Information Summary
Entity Passport
Registry ID hf-dataset--aguatrack--aguatrack-arco-sa
License CC-BY-4.0
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX
@misc{hf_dataset__aguatrack__aguatrack_arco_sa,
  author = {AguaTrack},
  title = {Aguatrack Arco Sa Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/AguaTrack/AguaTrack-ARCO-SA}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
AguaTrack. (2026). Aguatrack Arco Sa [Dataset]. Free2AITools. https://huggingface.co/datasets/AguaTrack/AguaTrack-ARCO-SA

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

âš–ī¸ Free2AITools Nexus Index V2.0

Semantic (S) 50
Authority (A) 62
Popularity (P) 52
Recency (R) 91
Quality (Q) 50

đŸ’Ŧ Index Insight

FNI V2.0 for Aguatrack Arco Sa: Semantic (S:50), Authority (A:62), Popularity (P:52), Recency (R:91), Quality (Q:50).

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
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Downloads
36,209

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

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Schema not yet indexed for this dataset.

Dataset Specification

AguaTrack-ARCO-SA

Binary Zarr v3 dataset. Use xarray + HfFileSystem to access.

python
from huggingface_hub import HfFileSystem
import xarray as xr

fs    = HfFileSystem()
store = fs.get_mapper("datasets/NTU-CompHydroMet-Lab/wam2layers/1996.zarr")
ds    = xr.open_zarr(store, consolidated=False)

See code tutorials in GitHub

How to cite

Companion code — archived on Zenodo (DOI: 10.5281/zenodo.20036507):

bibtex
@software{aguatrack_arco_sa_tutorial_v0_1_0,
  author    = {Lin, Sung Che and Hung, Ho Tin},
  title     = {{AguaTrack-ARCO-SA Tutorial}},
  version   = {v0.1.0},
  date      = {2026-05-05},
  publisher = {Zenodo},
  doi       = {10.5281/zenodo.20036507},
  url       = {https://doi.org/10.5281/zenodo.20036507},
}

Dataset. Cite the AguaTrack-ARCO-SA dataset directly from HuggingFace — the dataset card has its own canonical citation block: AguaTrack/AguaTrack-ARCO-SA (DOI: 10.57967/hf/8650). The monthly and yearly aggregates at AguaTrackSA/AguaTrack-ARCO-SA-Aggregated are derived from the daily store and share the same DOI.

bibtex
@misc{ho_tin_hung_2026,
    author       = { Ho Tin Hung and Sung Che Lin },
    title        = { AguaTrack-ARCO-SA (Revision a433c0f) },
    year         = 2026,
    url          = { https://huggingface.co/datasets/AguaTrack/AguaTrack-ARCO-SA },
    doi          = { 10.57967/hf/8650 },
    publisher    = { Hugging Face }
}

Social Proof

HuggingFace Hub
36.2KDownloads
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AI Summary: Based on Hugging Face metadata. Not a recommendation.

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đŸ›Ąī¸ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-dataset--aguatrack--aguatrack-arco-sa
slug
aguatrack--aguatrack-arco-sa
source
huggingface
author
AguaTrack
license
CC-BY-4.0
tags
license:cc-by-4.0, doi:10.57967/hf/8650, region:us, zarr

âš™ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

📊 Engagement & Metrics

downloads
36,209
stars
0
forks
null

Data indexed from public sources. Updated daily.