starrydata_datasets

July 17, 2026 · View on GitHub

Daily per-project splits of the Starrydata2 dataset, with a browsable download page at https://starrydata.github.io/starrydata_datasets/.

Historically this repository also hosted the raw CSVs (from 2019/7/11 until 2022/12/22); those older archives are still available via git tags.

Dataset repositories

RepositoryDescriptionUpdate schedulePeriod
Google DriveLatest full dataset (single ZIP)Twice daily at 00:00 and 12:00 JSTfrom 2024/06/13
GitHub Releases (this repo)Per-project splits + full dataset, as .csv.gzDaily around 03:00 JSTfrom 2026/06/25
FigshareArchival snapshotsDaily until 2024/06/06, then monthlyfrom 2022/12/22
GitHub tags (this repo)Legacy snapshotsAs needed2019/7/11 – 2022/12/22

What this repository does

Every day the Daily split & release workflow:

  1. Downloads the latest full ZIP from Google Drive (starrydata_dataset.zip).
  2. Runs scripts/split.py, which produces per-project files by looking at each row of starrydata_curves.csv and reading its project_names JSON array.
  3. Publishes two GitHub Releases:
    • data-YYYYMMDD — the dated snapshot.
    • latest — recreated to always mirror the newest snapshot.
  4. Commits docs/manifest.json to master, which triggers a GitHub Pages redeploy.

Membership rules (per project)

Membership is defined from curves outward, so the counts match starrydata.github.io/links/:

  • curves: rows whose project_names array contains the project.
  • papers: rows in starrydata_papers.csv whose SID appears in the project's curves.
  • samples: rows in starrydata_samples.csv whose composite key (SID, sample_id) appears in the project's curves (sample_id alone is paper-local, not globally unique).
  • figures: number of distinct non-empty figure_id values in the project's curves.

Downloading

Every file lives under a stable URL that always points at the newest snapshot:

https://github.com/starrydata/starrydata_datasets/releases/latest/download/<FILENAME>

Full dataset

FileContents
all_papers.csv.gzEvery paper
all_samples.csv.gzEvery sample
all_curves.csv.gzEvery curve

Per-project

For each project (e.g. ThermoelectricMaterials, BatteryMaterials, MagneticMaterials, OrganicThermoelectricMaterials, …), three files:

  • <Project>_papers.csv.gz
  • <Project>_samples.csv.gz
  • <Project>_curves.csv.gz

The canonical list of available projects and files is manifest.json (see below).

Loading in Python

import pandas as pd

BASE = "https://github.com/starrydata/starrydata_datasets/releases/latest/download"
curves = pd.read_csv(f"{BASE}/ThermoelectricMaterials_curves.csv.gz", compression="gzip")

Opening in Excel

.csv.gz is gzipped — decompress first (gunzip <file> on macOS/Linux, or 7-Zip on Windows) and open the resulting .csv.

manifest.json

docs/manifest.json is regenerated on every run and mirrored to https://starrydata.github.io/starrydata_datasets/manifest.json. Its schema:

{
  "generated_at": "2026-07-17T08:47:07+00:00",         // when this manifest was built (UTC ISO)
  "db_snapshot":  "2026-07-17 16:58:34 UTC+0900 (JST)", // upstream Starrydata DB snapshot time
  "source_zip":   "starrydata_dataset.zip",
  "totals": {                     // Whole-DB counts (match links page definitions)
    "papers":  17381,             //   unique non-empty SID in curves ("papers with data")
    "figures": 60228,             //   unique non-empty figure_id in curves
    "samples": 105260,            //   total rows in starrydata_samples.csv
    "curves":  234029             //   total rows in starrydata_curves.csv
  },
  "all_data": {
    "papers":  { "filename": "all_papers.csv.gz",  "rows": 56473,  "bytes": 9460869,  "sha256": "..." },
    "samples": { "filename": "all_samples.csv.gz", "rows": 105260, "bytes": 4675538,  "sha256": "..." },
    "curves":  { "filename": "all_curves.csv.gz",  "rows": 234029, "bytes": 43423914, "sha256": "..." }
  },
  "projects": {
    "ThermoelectricMaterials": {
      "papers":  { "filename": "...", "rows": ..., "bytes": ..., "sha256": "..." },
      "samples": { "filename": "...", "rows": ..., "bytes": ..., "sha256": "..." },
      "curves":  { "filename": "...", "rows": ..., "bytes": ..., "sha256": "..." },
      "counts":  { "papers": ..., "figures": ..., "samples": ..., "curves": ... }
    }
  }
}

The project list is dynamic — every project name that appears in any curve's project_names array shows up here. No hardcoded allowlist.

Other pages on starrydata.github.io consume this same manifest.

Manual re-run

Web UI: Run workflow.

CLI:

gh workflow run "Daily split & release" -R starrydata/starrydata_datasets

The workflow has concurrency: daily-split so a manual run and the scheduled run will serialize, not collide.

When the pipeline fails

The workflow opens an issue titled Daily split pipeline failed on the first failure, comments on it if it fails again, and auto-closes it on the next success. While an incident is open, the always-fresh full ZIP is still available directly from Google Drive.

Layout

.github/workflows/daily-split.yml   # daily schedule + workflow_dispatch
scripts/
  split.py                          # ZIP → per-project CSV.gz + manifest.json
  requirements.txt
docs/
  index.html                        # Pages UI, renders from manifest.json alone
  manifest.json                     # latest snapshot metadata (auto-committed)

Changelog

2026/07/17

  • Rebuilt the Pages listing and Starrydata links page to read directly from this repo's daily manifest.json. New projects (e.g. OrganicThermoelectricMaterials) now appear the day they're added to the DB, instead of waiting for the monthly Figshare mirror. Added totals and per-project counts (including figures) to manifest.json.

2026/06/26

  • Added per-project dataset downloads at https://starrydata.github.io/starrydata_datasets/. Each project can now be downloaded separately as papers / samples / curves files, alongside the full unsplit dataset.
  • Compressed all downloads as gzipped CSV (.csv.gz) to reduce file size. Load directly with pandas.read_csv(url, compression="gzip") or decompress before opening in Excel.

2025/08/22

  • Add figure_name field to curve dataset.

2024/07/04

  • Excluded datasets with the data type "calculation" in the descriptor from the sample dataset and curve dataset. As of 2024/07/01 12:00:01 UTC+0900 (JST), there were 346 samples.

2024/06/26

  • Changed dataset file name prefix from all to starrydata. For example, all_curves.csv is now starrydata_curves.csv.
  • Changed the file extension of the paper dataset from JSON to CSV for availability.
  • Reduced the columns in the paper dataset to only those necessary for citation, reducing the file size from 400 MB to about 50 MB.
  • Added project_names and created_at to the paper dataset.

2024/06/13

  • The latest datasets are now uploaded to Google Drive.

2024/06/06

  • Fixed the character corruption issue when users open all_samples.csv in certain applications, such as Excel, by adding a BOM.
  • The upload schedule to Figshare has been changed from daily to monthly.

2024/05/22

  • Fixed the incorrect timestamp format in the dataset. For example, corrected "2024-05-17 00:00:01 JST+0900" to "2024-05-17 00:00:01 GMT+0900 (JST)".

2024/05/21

  • The values in the XY value list were originally strings enclosed in double quotations. These double quotations were removed for easier analysis.
  • e.g. ["299.8597", "324.8683"] → [299.8597, 324.8683]

2024/05/16

  • Added updated_at, created_at, and composition_details to all_samples.csv.

2022/12/22

  • The dataset location was changed from this GitHub repository to Figshare.