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uba-ki-lab/data_quality_in_wastewater_surveillance

opencode:13749

In this project, the data quality of wastewater treatment plants (WWTPs) and laboratories is evaluated based on different data quality indicators. This can be used to rank WWTPs and laboratories and to select the most suitable ones for future probing. Pathogen data of SARS-Cov-2, Influenza A & B and RSV A, B & AB were evaluated, alongside with other parameters (e.g. water temperature, pH, inflow to the WWTPs).

Entity type · RepositoryPublic dossier · indexable16 Oct 2026, 06:35

Identity extends only as far as the published stable identifier or explicit mapping. Similar names are not merged. Missing links mean not observed in the bounded sources—not absent in reality.

identity ≠ name similarity · edge ≠ causality
1direct evidenced connections
1exact-identifier edges
2referenced source snapshots
5published attributes
ONE-HOP EVIDENCE

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Exact identifieredge:dbeb42cdc50dd11c08dc2060
Relationshipdeclares a dependency
Software packagescikit-learn
Package identity in the repository commit manifest

No additional excerpt published.

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german-public-sector-ai-dependency-atlas · opencode:13749@3726e4f9a4e0df2e41634c26ad4f3c00e35a347a:pypi:scikit-learn
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PUBLISHED ATTRIBUTES

Fields retained with this identity

Attributes are descriptive source fields. They do not create cross-dataset identity unless an edge states that join explicitly.

Ai Package Count
1
Commit Sha
3726e4f9a4e0df2e41634c26ad4f3c00e35a347a
Last Activity At
2026-10-15T11:28:22.668Z
Path With Namespace
uba-ki-lab/data_quality_in_wastewater_surveillance
Tree Complete
true
PROVENANCE

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02
german-public-sector-ai-dependency-atlasopencode:13749@3726e4f9a4e0df2e41634c26ad4f3c00e35a347a:pypi:scikit-learn · repository_commit_manifest_package_identity
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