What's Possible — Dataset Combinations

The real power of a local data federation isn’t any single dataset. It’s the combinations. Every dataset in the catalog is available at 10G LAN speed to every spring and garden on the mesh. No download. No egress charge. No API rate limit.

This page shows what science becomes possible when you combine datasets that are already local, already braided, already verified.

Think of it as a library card catalog that also tells you which experiments are ready to run.

Drug Repurposing Pipeline

Datasets: ChEMBL 37 + LINCS L1000 + GTEx V8 + PubChem

Springs: healthSpring | Gardens: tideGlass

The science: ChEMBL maps 2.9M compounds to biological targets. LINCS records how 473K drug perturbations change gene expression across 77 cell lines. GTEx shows where genes are normally expressed across 54 tissues. PubChem resolves chemical identifiers across databases.

What you can do: Computational drug repurposing without wet lab access. Given a disease gene signature, find compounds in ChEMBL that reverse it (LINCS), predict tissue-specific effects (GTEx), and resolve the compound identity (PubChem). This is the gen5 critical path for tideGlass.

Data status: All four datasets braided. 48 GB total. Ready for tideGlass.

Structure-Function Triangulation

Datasets: PDB mmCIF + UniProt Swiss-Prot + UniRef90

Springs: neuralSpring, hotSpring

The science: PDB provides 257K experimentally determined 3D structures. UniProt provides 570K curated functional annotations. UniRef90 provides clustered sequences for evolutionary covariance analysis.

What you can do: Complete protein characterization from sequence to structure to function. Build MSAs from UniRef90, predict structures via neuralSpring, validate against PDB experimental data, and annotate with UniProt function. The full bioinformatics stack on sovereign hardware.

Data status: All three datasets braided. 119 GB total. Ready for neuralSpring structure prediction and hotSpring molecular dynamics.

Environmental Genomics + Climate

Datasets: LTEE REL606 + SILVA 138.1 + NOAA GHCND + USGS earthquake

Springs: wetSpring, groundSpring, airSpring

The science: LTEE tracks 75K+ generations of E. coli evolution. SILVA classifies microbial communities via 16S amplicon sequencing. NOAA provides daily weather for 100K+ stations since the 1700s. USGS logs global seismic events with magnitude and focal mechanism.

What you can do: Multi-domain environmental analysis. Correlate microbial evolution with environmental forcing. Track how climate variation affects microbial community composition. Overlay seismic events with weather patterns for multi-hazard models. All computed locally, all provenance-tracked.

Data status: All four datasets braided. 3.7 GB total. Ready for wetSpring DADA2 and groundSpring geospatial analysis.

Nuclear Physics on Consumer GPU

Datasets: AME2020 + PDB structures

Springs: hotSpring

The science: AME2020 provides experimentally measured masses for 3,500+ nuclides — the international reference for nuclear binding energy. hotSpring computes lattice QCD on consumer GPUs (RTX 3090, RX 6950 XT) using DF64 precision WGSL shaders.

What you can do: Validate GPU-computed nuclear binding energies against experimental AME2020 data. This is the data braid (AME2020) + NFT (hotSpring QCD trajectories) convergence — external reference data meets computed results, both with full provenance.

Data status: AME2020 braided. hotSpring QCD trajectories computed. See hotSpring QCD pseudoSpore for the computed results.

Precision Agriculture

Datasets: USDA NASS Census 2017 + NOAA GHCND

Springs: airSpring, groundSpring

The science: USDA Census provides farm counts, acreage, production, and economics for every US county. NOAA GHCND provides historical daily weather for stations near those counties.

What you can do: Yield prediction models correlating agricultural production with historical climate. Sovereign precision agriculture on local compute — no cloud subscription, no per-query API fees, no vendor dependency. The data covers decades of agricultural output and centuries of weather.

Data status: Both datasets braided. 3.6 GB total. Ready for airSpring.

PFAS Environmental Detection

Datasets: MassBank NIST + PubChem

Springs: wetSpring

The science: MassBank provides NIST-validated reference mass spectra for standard compounds, including PFAS reference standards. PubChem provides exact masses and chemical identifiers for cross-referencing.

What you can do: Match unknown spectra from environmental samples against verified reference spectra. Identify PFAS contamination using spectral fingerprinting without commercial software licenses. The sovereign alternative to vendor-locked analytical chemistry platforms.

Data status: Both datasets braided. 11 GB total. Ready for wetSpring environmental chemistry.

What’s Not Here Yet

The Data Federation Schedule tracks additional datasets being ingested:

Each will get a sweetGrass braid and appear in this catalog when ingestion completes. The ZFS pool on westGate has 50.7 TB available — even at full Batch 5 capacity, storage is not a constraint.

The Pattern

Every combination follows the same pattern:

Data Braid A  (proof of provenance)
    +
Data Braid B  (proof of provenance)
    +
Spring C      (computation engine)
    =
Science D     (Novel Fermentation Transcript — NFT)

The braids prove the inputs are genuine. The NFT proves the computation was done correctly. Together: end-to-end verifiable science from public data to published result, running on commodity hardware in a basement.

See Also

• Data Braids Index — browse all braided datasets
• How Braids Work — the provenance pipeline
• pseudoSpore Catalog — computed results (NFTs)