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This licence applies to the bundled model paraphrase-MiniLM-L6-v2
(sentence-transformers, Nils Reimers and Iryna Gurevych, UKP Lab, TU Darmstadt;
https://huggingface.co/sentence-transformers/paraphrase-MiniLM-L6-v2,
revision c9a2bfebc254878aee8c3aca9e6844d5bbb102d1), redistributed inside the
SampleExplorer database files as an ONNX export. Modification notice: the
PyTorch weights were exported to ONNX and stored, with the tokenizer, in the
"models" table of each SQLite file. No weights were changed.
The text below is the unmodified Apache License, Version 2.0
(sha256 cfc7749b96f63bd31c3c42b5c471bf756814053e847c10f3eb003417bc523d30).
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
and distribution as defined by Sections 1 through 9 of this document.
"Licensor" shall mean the copyright owner or entity authorized by
the copyright owner that is granting the License.
"Legal Entity" shall mean the union of the acting entity and all
other entities that control, are controlled by, or are under common
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"control" means (i) the power, direct or indirect, to cause the
direction or management of such entity, whether by contract or
otherwise, or (ii) ownership of fifty percent (50%) or more of the
outstanding shares, or (iii) beneficial ownership of such entity.
"You" (or "Your") shall mean an individual or Legal Entity
exercising permissions granted by this License.
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including but not limited to software source code, documentation
source, and configuration files.
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not limited to compiled object code, generated documentation,
and conversions to other media types.
"Work" shall mean the work of authorship, whether in Source or
Object form, made available under the License, as indicated by a
copyright notice that is included in or attached to the work
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SampleExplorer databases (ARCHS4 v2.7, release 1)

Databases for SampleExplorer: one SQLite file per species. Each is a single file with nothing to unzip. This repository is the home of the files: every release is a tag here, and the desktop app's catalogue points at these tags. Check a download against the sha256 below.

File Species Studies Samples Size sha256
sampleexplorer-human-v2.7-r1.sqlite human 38,761 1,098,771 1,556,414,464 bytes (1.6 GB) ba3c7446968d719c965241dd3dcc16a040257976c5037e7026d345e7fd3f488c
sampleexplorer-mouse-v2.7-r1.sqlite mouse 40,620 1,225,044 1,717,370,880 bytes (1.7 GB) 852056fff702f0cad8e39ccd8d81814a81d6529d30ab12647886a3e35b14f530

Download

With the Hugging Face CLI (resumable, checks the hash for you):

uvx --from huggingface_hub hf download Wlchin/sampleexplorer-databases sampleexplorer-human-v2.7-r1.sqlite --repo-type dataset --local-dir .
uvx --from huggingface_hub hf download Wlchin/sampleexplorer-databases sampleexplorer-mouse-v2.7-r1.sqlite --repo-type dataset --local-dir .

From Python:

from huggingface_hub import hf_hub_download
path = hf_hub_download("Wlchin/sampleexplorer-databases", "sampleexplorer-human-v2.7-r1.sqlite",
                       repo_type="dataset", revision="r1")

With curl (resumes with -C -):

curl -L -C - -o sampleexplorer-human-v2.7-r1.sqlite https://huggingface.co/datasets/Wlchin/sampleexplorer-databases/resolve/r1/sampleexplorer-human-v2.7-r1.sqlite

Check a download with shasum -a 256 <file> on macOS and Linux, or certutil -hashfile <file> SHA256 on Windows.

Use

Open a file in the SampleExplorer desktop app with Locate database file…, or read it with any sqlite3. Open both files to search across species.

What each file holds

  • GEO study and sample text
  • the per-sample gene index for gene-set search
  • MiniLM text vectors and the MiniLM model
  • the response bases for the Same response search
  • the BM25 keyword index
  • MedCPT article vectors and the MedCPT query encoder
  • the 50 MSigDB Hallmark pathway sets and the pathway bank behind Compare pathways

The file's meta table records the ARCHS4 version, the build rules, content hashes and the sha256 of every bundled model and of the pathway sources.

Source data

Expression and sample metadata come from ARCHS4 v2.7 (Lachmann et al., 2018, Nature Communications 9:1366), which reprocesses public RNA-seq from GEO and SRA. Study and sample text come from GEO. Please cite ARCHS4 and GEO alongside SampleExplorer when you use these files.

Pathway gene sets: sources and attribution

The pathway data (the pathway_sets table, the pathway_bank array and meta pathways) come from two sources:

  • MSigDB Hallmark v2023.2.Hs (h.all.v2023.2.Hs.symbols.gmt, 50 sets) from the Molecular Signatures Database, UC San Diego and Broad Institute, under CC BY 4.0. Each set is kept as its genes in the file's gene universe, and the file stores directions computed from them; the set names are unchanged. Cite Liberzon et al., 2015, Cell Systems 1:417–425 (doi:10.1016/j.cels.2015.12.004) and MSigDB (Subramanian et al., 2005, PNAS 102:15545–15550).
  • MGI's mouse–human homology report (HOM_MouseHumanSequence.rpt, dated 2026-10-28), mouse file only: it maps the human sets to one-to-one mouse orthologues. From Mouse Genome Informatics, The Jackson Laboratory; cite Baldarelli et al., 2024, Genetics 227:iyae031 (doi:10.1093/genetics/iyae031).

The full notice, with the changes made, the sha256 of both source files and the MGI data citation, is in LICENSES/CC-BY-4.0-MSigDB-Hallmark.txt.

Bundled models and their licences

Two text encoders are stored inside each file as ONNX exports, so the app needs no PyTorch and no separate download. Converting them to ONNX and bundling them is the only change made to them.

Model Used for Source Licence
paraphrase-MiniLM-L6-v2 search by meaning sentence-transformers/paraphrase-MiniLM-L6-v2, revision c9a2bfebc254878aee8c3aca9e6844d5bbb102d1 (Reimers & Gurevych, UKP Lab) Apache-2.0
MiniLM base weights base of the above Microsoft MiniLM MIT
MedCPT query encoder keyword + semantic search ncbi/MedCPT-Query-Encoder (Jin et al., 2023) public domain (US Government work)
MedCPT article encoder article vectors (vectors stored, encoder not bundled) ncbi/MedCPT-Article-Encoder public domain (US Government work)

The Apache-2.0 licence text is in LICENSES/Apache-2.0.txt and the MIT text in LICENSES/MIT-MiniLM.txt in this repository, as the Apache licence requires for redistribution.

Versions

Each release is a tag (r1, r2, …) on this repository. A released file is never changed: a new build gets a new file name (-r2), a new commit and a new tag, and the old tag keeps serving the old bytes. Download by tag or by commit hash, not from main, so a link always returns the same file. Every push is a commit, so the full history of the repository is the release history.

Citation

Until the paper is out, cite this repository by its DOI (generated from the repository settings; added here once minted) and the release tag:

SampleExplorer databases (ARCHS4 v2.7, release 1), tag r1. Hugging Face. DOI: to be added.

How to cite the paper: added when the paper is published.

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