data-organization

Explain reflectometry data file naming, column formats, and configured paths.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/mdoucet/analyzer --skill data-organization
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: data-organization
Source: https://github.com/mdoucet/analyzer/tree/main/skills/data-organization
Command: npx skills add https://github.com/mdoucet/analyzer --skill data-organization

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It clarifies where neutron reflectometry data lives in the repository, how files are named, what each column represents, and how to configure paths so analysis tools can find and read measurement files reliably.

Core Features & Use Cases

  • Repository layout: Describes standard folders for combined data, partial data, models, results, and reports and how paths map to configuration keys.
  • File naming conventions: Explains combined file and partial file name patterns and how set_id, part_id, and run_id identify related measurements (for example, REFL_218281_combined_data_auto.txt and REFL_218281_1_218281_partial.txt).
  • Column formats and reading rules: States the four-column format (Q, R, dR, dQ), units, and that partial files include a single-line header while combined files do not.
  • Discovery and workflow: Shows how to use configured paths to discover available datasets and prepare files for assessment, combining, or fitting.

Quick Start

Set combined_data_dir and partial_data_dir in config.ini to your local data folders and run analyzer-tools --show-data to list recognized data files.

Frequently Asked Questions about data-organization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I locate neutron reflectometry data files in a local repository?

Locate reflectometry data by setting combined_data_dir and partial_data_dir in config.ini to your local folders, then run analyzer-tools --show-data to list recognized dataset files.

What is the column format for reflectometry measurement files?

Reflectometry files use a four-column format containing Q, R, dR, and dQ values. Partial data files include a single-line header, while combined data files do not contain any header rows.

How do file naming conventions work for combined and partial reflectometry data?

File naming uses set_id, part_id, and run_id to identify related measurements, such as REFL_218281_combined_data_auto.txt for combined files and REFL_218281_1_218281_partial.txt for partial files.

How do I configure paths to discover available reflectometry datasets?

Configure combined_data_dir and partial_data_dir keys in config.ini to map standard repository folders, enabling analysis tools to reliably discover and read measurement files for assessment or fitting.

What is the difference between combined and partial reflectometry data files?

Combined reflectometry files aggregate measurement data without headers, while partial files contain individual run segments identified by part_id and include a single-line header row for column interpretation.

When do I need to configure reflectometry data paths for analysis tools?

Configure reflectometry data paths when preparing local repository datasets for assessment, combining, or fitting workflows, ensuring analysis tools can reliably locate and interpret measurement files.