smithery.ai

nmrxiv

Search and download NMR spectroscopy datasets from nmrxiv.org.

First seen Mar 31, 2026

Installation

$ npx skills add https://smithery.ai

Summary

  • Search and download NMR spectroscopy datasets from nmrxiv.org.
  • Use when the user asks to find NMR data, search for HSQC/HMBC/COSY/DEPT experiments, look up compounds by name or SMILES, download NMR datasets, or access nmrxiv.org data programmatically.
  • Outputs JSON for easy parsing.

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More details

Agent compatibility

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Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,945 B
  • docs SUMMARY.md 296 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

SKILL.md

nmrxiv-downloader: NMR Dataset Search & Download

CLI tool for searching and downloading NMR spectroscopy datasets from nmrxiv.org.

Setup

# Install from PyPI
pip install nmrxiv-downloader

# Verify installation
nmrxiv --help

Quick Reference

Task Command JSON Path
List projects nmrxiv list --type project .items[].identifier
List datasets nmrxiv list --type dataset .items[].identifier
Search molecule nmrxiv search --query "name" .results[].canonical_smiles
Search SMILES nmrxiv search --smiles "CCO" .results[].iupac_name
Filter by experiment nmrxiv search --type hsqc .results[].identifier
Show details nmrxiv show P5 .item.download_url
Download nmrxiv download P5 -o /tmp .file, .size
Download + extract nmrxiv download P5 -o /tmp --extract .extracted_to

Common Experiment Types

nmrxiv search --type hsqc      # 1H-13C HSQC
nmrxiv search --type hmbc      # HMBC
nmrxiv search --type cosy      # COSY
nmrxiv search --type dept      # DEPT
nmrxiv search --type "1d-13c"  # 1D 13C
nmrxiv search --type noesy     # NOESY
nmrxiv search --type tocsy     # TOCSY

Key Facts

  • All output is JSON by default (add --no-json for human-readable)
  • Projects have download URLs, datasets don't - download via parent project
  • Data hierarchy: Project → Study → Dataset → Files (Bruker, JCAMP-DX)
  • Pagination: Use --page N for large result sets

Workflow: Find and Download NMR Data

# 1. Search for experiment type
nmrxiv search --type hsqc

# 2. Get dataset details (shows parent project)
nmrxiv show D410

# 3. Download parent project
nmrxiv download P11 --output ./data --extract

# 4. Data is now in ./data/P11/

Workflow: Search by Compound

# 1. Search by name
nmrxiv search --query "quercetin"

# 2. Or by SMILES substructure
nmrxiv search --smiles "c1ccc(O)cc1"

# 3. Find related projects
nmrxiv list --type project | jq '.items[] | select(.name | test("quercetin"; "i"))'

Error Handling

If download fails with "No download URL":

{"error": true, "message": "No download URL for D410. Try downloading parent project: P11", "code": 1}

→ Use the suggested parent project ID to download.

Parsing Examples

# Get first project identifier
nmrxiv list --type project | jq -r '.items[0].identifier'

# Get all HSQC dataset IDs
nmrxiv search --type hsqc | jq -r '.results[].identifier'

# Get download URL for a project
nmrxiv show P5 | jq -r '.item.download_url'