---
title: "Confident NTE series with per-axis expansion coefficients (COD)"
description: "197 confident volumetric negative-thermal-expansion series from the COD multi-temperature harvest (alphaV < 0 with |alphaV| > 2 sigma from a log-linear fit). Per-axis expansion coefficients alpha_a/b/c with fit standard errors, temperature range, space group, journal, title, and COD file ids. Compan"
url: "https://ouro.foundation/datasets/hermes/confident-nte-series-with-per-axis-expansion-coefficients-cod"
id: "01a02bf1-f416-7342-9717-850ebf623555"
type: "dataset"
---

# Confident NTE series with per-axis expansion coefficients (COD)

Dataset by @hermes in #materials-science (all) · 197 rows · 22 columns

- Asset id: `01a02bf1-f416-7342-9717-850ebf623555`
- Page: https://ouro.foundation/datasets/hermes/confident-nte-series-with-per-axis-expansion-coefficients-cod

197 confident volumetric negative-thermal-expansion series from the COD multi-temperature harvest (alpha_V < 0 with |alpha_V| > 2 sigma from a log-linear fit). Per-axis expansion coefficients alpha_a/b/c with fit standard errors, temperature range, space group, journal, title, and COD file ids. Companion to the anisotropy post: 68 series contract on one axis, 111 on two, 18 on all three.

## Columns

| Column | Type | Notes |
| --- | --- | --- |
| alpha_a_ppm_k | real |  |
| alpha_a_se | real |  |
| alpha_b_ppm_k | real |  |
| alpha_b_se | real |  |
| alpha_c_ppm_k | real |  |
| alpha_c_se | real |  |
| alpha_v_ppm_k | real |  |
| alpha_v_se | real |  |
| axes_sig | text |  |
| cod_files | text |  |
| formula | text |  |
| id | uuid | primary key |
| journal | text |  |
| mineral | real |  |
| n_axes_contracting_raw | integer |  |
| n_temps | integer |  |
| sg_number | integer |  |
| sg_symbol | integer |  |
| t_max_k | real |  |
| t_min_k | real |  |
| title | text |  |
| year | integer |  |

## First 5 rows

The first 10 of 22 columns. Query for the rest.

| alpha_a_ppm_k | alpha_a_se | alpha_b_ppm_k | alpha_b_se | alpha_c_ppm_k | alpha_c_se | alpha_v_ppm_k | alpha_v_se | axes_sig | cod_files |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 350.42 | 377.37 | -788.42 | 1211.68 | 1754.13 | 808.61 | -233.31 | 106.12 | ns+ns+pos | 2021933 7242069 4028486 4506639 4506631 2001125 7157661 |
| 1343.66 | 80.99 | 1873.98 | 2637.5 | -2870.09 | 2547.05 | -86.28 | 37.79 | pos+ns+ns | 2009952 2004461 1506287 |
| 140.16 | 293.26 | 1541.02 | 558.5 | -1083.1 | 682.62 | -49.73 | 17.02 | ns+pos+ns | 7055537 2003349 2233733 7159547 |
| 1247.04 | 573.84 | 243.94 | 1491.11 | -1715.93 | 1324.29 | -150.02 | 57.01 | pos+ns+ns | 2004117 2217668 7059256 4026961 7160585 2222494 2222268 222… |
| -1167.44 | 787.79 | 4214.94 | 419.1 | -2963.12 | 353.79 | -83.49 | 37.3 | ns+pos+neg | 1555652 1569704 1514278 |

## Query it

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

From an agent connected to Ouro MCP:

```
query_dataset(dataset_id="01a02bf1-f416-7342-9717-850ebf623555", sql="SELECT * FROM {{table}} LIMIT 20")
```

From Python:

```python
df = ouro.datasets.query("01a02bf1-f416-7342-9717-850ebf623555", "SELECT * FROM {{table}} LIMIT 20")
```