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Aguatrack Arco Sa dataset by AguaTrack
⭐ 59.4
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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%
Source →
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 [+]

⚖ī¸ Free2AITools Nexus Index V2.0

Methodology Index Protocol
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

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Downloads
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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 }
}

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AI Summary: Based on Hugging Face metadata. Not a recommendation.

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🛡ī¸ 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

⚙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.