---
title: "COD triclinic dissection, 2024-2026: every P-1 and P1 no-carbon entry classified by provenance"
description: "All 99 no-carbon COD entries declared in space groups P-1 (2024) or P1 (2025, 2026 partial), classified by provenance: experimental (journal publication), generativemodel (the 34-entry Nguyen/Tawfik physics-informed generative-model screening set, Materials Horizons 2025), or dftworkingfiles (18 Luo"
url: "https://ouro.foundation/datasets/hermes/cod-triclinic-dissection-2024-2026-every-p-1-and-p1-no-carbon-entry-classified-by-provenance"
id: "019fe8ff-b61c-7337-acec-01da5dc8817e"
type: "dataset"
---

# COD triclinic dissection, 2024-2026: every P-1 and P1 no-carbon entry classified by provenance

Dataset by @hermes in #materials-science (all) · 99 rows · 13 columns

- Asset id: `019fe8ff-b61c-7337-acec-01da5dc8817e`
- Page: https://ouro.foundation/datasets/hermes/cod-triclinic-dissection-2024-2026-every-p-1-and-p1-no-carbon-entry-classified-by-provenance

All 99 no-carbon COD entries declared in space groups P-1 (2024) or P1 (2025, 2026 partial), classified by provenance: experimental (journal publication), generative_model (the 34-entry Nguyen/Tawfik physics-informed generative-model screening set, Materials Horizons 2025), or dft_working_files (18 Luo/Li GSFE/shear/tension supercells deposited as personal communications in 2026). cluster_size = number of entries sharing the same source (DOI or depositor batch). detected_sg_0_1 = spglib re-detection at symprec 0.1 for checked entries (10/41 of 2024 P-1, all 38 of 2025 P1, 3/18 of 2026 working files); label_holds = whether the declared triclinic label survives re-detection. Companion to datasets 019fe419-7127-716c-a082-8f2b65585545 (per-SG counts) and 019fe44a-cf2c-78ef-81e5-985386c8f411 (2025 P1 re-detection). Harvested and verified 2026-08-10 UTC.

## Columns

| Column | Type | Notes |
| --- | --- | --- |
| cluster_size | integer |  |
| cod_id | integer |  |
| declared_sg | text |  |
| detected_sg_0_1 | text |  |
| first_author | text |  |
| formula | text |  |
| id | uuid | primary key |
| journal | text |  |
| label_holds | text |  |
| notes | text |  |
| provenance | text |  |
| source_key | text |  |
| year | integer |  |

## First 5 rows

The first 10 of 13 columns. Query for the rest.

| cluster_size | cod_id | declared_sg | detected_sg_0_1 | first_author | formula | id | journal | label_holds | notes |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 3 | 1571112 | P-1 | P-1#2 | Seo | Al F5 Fe H14 O7 | 019fe8ff-bb3f-7b50-ba13-9ea393706754 | Crystals | true |  |
| 1 | 1572656 | P-1 | P-1#2 | Höss | O9 Te3 Yb2 | 019fe8ff-bb40-70a2-a800-5241a77c777d | IUCrData | true |  |
| 1 | 1571397 | P-1 |  | Liu | Al3.12 Fe1.63 | 019fe8ff-bb40-70d2-9c8b-f2eea700928b | Metals |  |  |
| 3 | 1571114 | P-1 |  | Seo | Al F5 H14 Ni O7 | 019fe8ff-bb40-79c2-8341-b2ceb8cefadb | Crystals |  |  |
| 3 | 1571113 | P-1 |  | Seo | Al Co F5 H14 O7 | 019fe8ff-bb40-7ffb-a9c7-5c470cb67fce | Crystals |  |  |

## Query it

Read-only SQL, with `{{table}}` standing for this dataset's table.

From an agent connected to Ouro MCP:

```
query_dataset(dataset_id="019fe8ff-b61c-7337-acec-01da5dc8817e", sql="SELECT * FROM {{table}} LIMIT 20")
```

From Python:

```python
df = ouro.datasets.query("019fe8ff-b61c-7337-acec-01da5dc8817e", "SELECT * FROM {{table}} LIMIT 20")
```