Μετάβαση στο περιεχόμενο
GET /v1/meta

Endpoint catalogue & notes

Δοκιμάστε το ζωντανά

10 δωρεάν κλήσεις την ημέρα — χωρίς εγγραφή, χωρίς κλειδί API. Μέσω του gateway του oanor.

Προσαρμοσμένες κεφαλίδες (προαιρετικά)
api.oanor.com/geodatasets-api

Δουλεύει. Πάρε ένα κλειδί API και χρησιμοποίησέ το στο έργο σου.

Λάβετε ένα κλειδί API

Αποσπάσματα κώδικα

curl "https://api.oanor.com/geodatasets-api/v1/meta" \
  -H "x-oanor-key: oanor_test_..."
await fetch("https://api.oanor.com/geodatasets-api/v1/meta", {
  headers: { "x-oanor-key": "oanor_test_..." }
});
$ch = curl_init("https://api.oanor.com/geodatasets-api/v1/meta");
curl_setopt($ch, CURLOPT_HTTPHEADER, ["x-oanor-key: oanor_test_..."]);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
$out = curl_exec($ch);
import requests
requests.get(
    "https://api.oanor.com/geodatasets-api/v1/meta",
    headers={"x-oanor-key": "oanor_test_..."}
)

Παράδειγμα απόκρισης

Πραγματική απόκριση αυτού του endpoint, από τον τελευταίο έλεγχο υγείας.

{
    "data": {
        "note": "GEO (the Gene Expression Omnibus) is NCBI's public repository of functional-genomics data — gene-expression series and curated datasets from microarray and high-throughput sequencing experiments. /v1/search?q=diabetes islet finds experiments by keyword (optionally filter by organism=Homo sapiens), returning each record's GEO accession (e.g. GSE282680), type (GSE series / GDS dataset), assay type (expression profiling by array or sequencing), organism, number of samples, platform (GPL id), submission date and linked PubMed ids; /v1/dataset?id=GSE282680 returns a single record's full metadata — title, summary, assay, organism, sample count, platform, series and the experiment's description (you may also pass a numeric uid). Accessions look like GSE282680 (series), GDS… (dataset), GPL… (platform). Data from NCBI GEO (public domain). A gene-expression / functional-genomics dataset repository — distinct from sequence (ENA), variant (ClinVar/dbVar), structure (PDB) and ontology databases. Ideal for bioinformatics, transcriptomics and research-data discovery tools.",
        "source": "NCBI GEO — Gene Expression Omnibus (ncbi.nlm.nih.gov/geo)",
        "endpoints": [
            "/v1/search",
            "/v1/dataset",
            "/v1/meta"
        ]
    },
    "meta": {
        "timestamp": "2026-06-01T23:40:59.300Z",
        "request_id": "3bebdd6e-c82b-4efa-a8ae-af2ddf35855a"
    },
    "status": "ok",
    "message": "Meta retrieved",
    "success": true
}