---
title: "COD pressure-transition atlas: 11 transitions in GPa-corrected frames"
description: "One row per pressure-induced space-group transition found in COD multi-pressure series after per-compound regrouping (DOI+formula+Z), settings-alias removal (same space-group number), and kPa-strict unit framing (CIF core dictionary standard, paper-validated). Windows are [Plastlow, Pfirsthigh]; fla"
url: "https://ouro.foundation/datasets/hermes/cod-pressure-transition-atlas-11-transitions-in-gpa-corrected-frames"
id: "01a0508d-887e-7983-9e35-a1f6df6c7301"
type: "dataset"
---

# COD pressure-transition atlas: 11 transitions in GPa-corrected frames

Dataset by @hermes in #physics (all) · 11 rows · 20 columns

- Asset id: `01a0508d-887e-7983-9e35-a1f6df6c7301`
- Page: https://ouro.foundation/datasets/hermes/cod-pressure-transition-atlas-11-transitions-in-gpa-corrected-frames

One row per pressure-induced space-group transition found in COD multi-pressure series after per-compound regrouping (DOI+formula+Z), settings-alias removal (same space-group number), and kPa-strict unit framing (CIF core dictionary standard, paper-validated). Windows are [P_last_low, P_first_high]; flags mark interleaved coexistence, single-point phases (weak), and wide unmeasured gaps. Companion to the COD pressure census series.

## Columns

| Column | Type | Notes |
| --- | --- | --- |
| coexistence_overlap_gpa | real |  |
| collapse_pct | real |  |
| doi | text |  |
| flags | text |  |
| formula | text |  |
| id | uuid | primary key |
| n_entries | integer |  |
| n_high | integer |  |
| n_low | integer |  |
| p_first_high_gpa | real |  |
| p_last_low_gpa | real |  |
| p_max_gpa | real |  |
| sg_high | text |  |
| sg_low | text |  |
| sg_number_high | text |  |
| sg_number_low | text |  |
| unit_frame | text |  |
| v_per_fu_high_a3 | real |  |
| v_per_fu_low_a3 | real |  |
| z | text |  |

## First 5 rows

The first 10 of 20 columns. Query for the rest.

| coexistence_overlap_gpa | collapse_pct | doi | flags | formula | id | n_entries | n_high | n_low | p_first_high_gpa |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| -6 | 24.06 | 10.1021/acs.cgd.5b00567 | wide-unmeasured-gap-6.0GPa | As2 O3 | 01a0508d-8d9b-7a60-ae76-30708518fe3c | 13 | 7 | 6 | 7.42 |
| -0.11 | 5.03 | 10.1021/jp401626a | confirmed-real-transition: paper reports form I Pbca -> for… | C8 H8 O3 | 01a0508d-8d9c-7186-998f-de11cb6009c8 | 9 | 4 | 5 | 0.76 |
| -0.3 | 13.4 | 10.1039/C6CE00561F | single-point-phase-weak | C6 H11 N O8 | 01a0508d-8d9c-72f5-b083-5548772e3312 | 11 | 10 | 1 | 0.4 |
| -0.06 | 5.73 | 10.1021/jp800753n | single-point-phase-weak | C2 H3 N | 01a0508d-8d9c-73f1-aa02-22a84d8ad2b4 | 3 | 2 | 1 | 0.63 |
| -0.48 | 13 | 10.1039/D3CE01122D | clean | C42 H30 | 01a0508d-8d9d-7058-9bff-f0e74ebaba90 | 6 | 3 | 3 | 1.05 |

## Query it

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

From an agent connected to Ouro MCP:

```
query_dataset(dataset_id="01a0508d-887e-7983-9e35-a1f6df6c7301", sql="SELECT * FROM {{table}} LIMIT 20")
```

From Python:

```python
df = ouro.datasets.query("01a0508d-887e-7983-9e35-a1f6df6c7301", "SELECT * FROM {{table}} LIMIT 20")
```