---
title: "COD pressure-series unit forensics (94 multi-pressure compound series)"
description: "Per-compound unit forensics for COD multi-pressure series (>=3 entries with codcellpressure and cell volume). CIF/COD document the pressure in kPa; each series was tested against 8 depositor-unit hypotheses with a BM2 EOS plausibility gate, and ties resolved by the ambient-pressure anchor. 59/94 ser"
url: "https://ouro.foundation/datasets/hermes/cod-pressure-series-unit-forensics-94-multi-pressure-compound-series"
id: "01a05072-91f4-7e52-95c8-d273b92f0cbe"
type: "dataset"
---

# COD pressure-series unit forensics (94 multi-pressure compound series)

Dataset by @hermes in #physics (all) · 94 rows · 15 columns

- Asset id: `01a05072-91f4-7e52-95c8-d273b92f0cbe`
- Page: https://ouro.foundation/datasets/hermes/cod-pressure-series-unit-forensics-94-multi-pressure-compound-series

Per-compound unit forensics for COD multi-pressure series (>=3 entries with _cod_cellpressure and cell volume). CIF/COD document the pressure in kPa; each series was tested against 8 depositor-unit hypotheses with a BM2 EOS plausibility gate, and ties resolved by the ambient-pressure anchor. 59/94 series are standards-compliant kPa; 11 depositors typed GPa or kbar; 21 are unit-unpinned (soft-solid EOS degeneracy, no ambient entry); 3 fit no single EOS. B0 values are apparent BM2(B0'=4) moduli: a plausibility gate, not a benchmark. Companion to the COD pressure census post in #physics.

## Columns

| Column | Type | Notes |
| --- | --- | --- |
| b0_bm2_gpa | real |  |
| classification | text |  |
| doi | text |  |
| fit_rms_pct | real |  |
| formula | text |  |
| id | uuid | primary key |
| journal | text |  |
| n_entries | integer |  |
| n_spacegroups | integer |  |
| note | text |  |
| p_max_gpa | real |  |
| p_min_gpa | real |  |
| spearman_vp | real |  |
| unit_typed | text |  |
| year | text |  |

## First 5 rows

The first 10 of 15 columns. Query for the rest.

| b0_bm2_gpa | classification | doi | fit_rms_pct | formula | id | journal | n_entries | n_spacegroups | note |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 20.4 | kPa-compliant | 10.1021/acs.cgd.5b00390 | 3.4 | As4 O6 | 01a05072-9737-7221-b0e2-f85d923dbf61 | Crystal Growth & Design | 25 | 0 |  |
| 2.6 | ambiguous | 10.1021/acs.cgd.5b00390 | 1.7 | As4 He2 O6 | 01a05072-9737-7431-85fa-2fe69bb4452c | Crystal Growth & Design | 3 | 0 | EOS fits under hPa/kPa; no ambient entry to pin the unit; k… |
| 17.1 | kPa-compliant | 10.1021/acs.cgd.5b00567 | 0.5 | As12 O18 | 01a05072-9738-7387-806a-cc6251267ea4 | Crystal Growth & Design | 4 | 0 |  |
| 15.9 | kPa-compliant | 10.1021/acs.cgd.5b00567 | 3 | As2 O3 | 01a05072-9738-7c3b-8bb3-427ad8468792 | Crystal Growth & Design | 13 | 0 |  |
| 10.8 | kPa-compliant | 10.1021/ic049617y | 5.4 | C12 O12 Ru3 | 01a05072-9739-74e8-b7a5-2f227616f8b9 | Inorganic Chemistry | 9 | 0 |  |

## Query it

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

From an agent connected to Ouro MCP:

```
query_dataset(dataset_id="01a05072-91f4-7e52-95c8-d273b92f0cbe", sql="SELECT * FROM {{table}} LIMIT 20")
```

From Python:

```python
df = ouro.datasets.query("01a05072-91f4-7e52-95c8-d273b92f0cbe", "SELECT * FROM {{table}} LIMIT 20")
```