Periodic Table Data

JSON containing information about periodic table data with JavaScript

Usage

import the package：

import * as ptd from 'periodic-table-data';

(1) get all data:

console.log(ptd.tableData);
output:
[
    {
        "atomicNumber": 1,
        "symbol": "H",
        "name": "Hydrogen",
        "atomicMass": 1.008,
        "cPKHexColor": "FFFFFF",
        "electronConfiguration": "1s1",
        "electronegativity": 2.2,
        "atomicRadius": 120,
        "ionizationEnergy": 13.598,
        "electronAffinity": 0.754,
        "oxidationStates": "+1, -1",
        "standardState": "Gas",
        "meltingPoint": 13.81,
        "boilingPoint": 20.28,
        "density": 8.988e-05,
        "groupBlock": "Nonmetal",
        "yearDiscovered": "1766"
    },
  ...
]

(2) get info by element's symbol:

const DsInfo = ptd.symbols.Ds;
or
const DsInfo = ptd.getInfoBySymbol('Ds');
console.log(DsInfo);
output:
{
    "atomicNumber": 110,
    "symbol": "Ds",
    "name": "Darmstadtium",
    "atomicMass": 282.166,
    "cPKHexColor": "",
    "electronConfiguration": "[Rn]7s2 5f14 6d8 (predicted)",
    "electronegativity": null,
    "atomicRadius": null,
    "ionizationEnergy": null,
    "electronAffinity": null,
    "oxidationStates": "8, 6, 4, 2, 0",
    "standardState": "Expected to be a Solid",
    "meltingPoint": null,
    "boilingPoint": null,
    "density": null,
    "groupBlock": "Transition metal",
    "yearDiscovered": "1994"
}

(3) or get info by element's name:

const infoByName = ptd.names.Darmstadtium;
or
const infoByName = ptd.getInfoByName('Darmstadtium');
console.log(infoByName);

(4) or get info by atomic number:

const infoByNumber2 = ptd.numbers[2];
or
const infoByNumber2 = ptd.getInfoByNumber(2);
console.log(infoByNumber2);

Data

The data for this package comes from PubChem and was retrieved on Sep 25th, 2023. The "CSV File" for all elements can be found in PubChemElements_all.csv. The script generatePeriodicTableData.py can be used to regenerate the periodicTableData.json file which contains the periodic table data. Make sure you have a Python environment and the csv and json modules installed before running generatePeriodicTableData.py.

License

This software is released under the MIT license