About stdlib…

We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we’ve built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.

The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.

When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.

To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!

Black Cañon

[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url]

[Image][@osullivan:1871a] of Black Canyon.

[Image][@osullivan:1871a] of Timothy H. O’Sullivan’s albumen silver print Black Cañon, Colorado River, From Camp 8, Looking Above.

## Installation

bash
npm install @stdlib/datasets-img-black-canyon

Alternatively,

- To load the package in a website via a script tag without installation and bundlers, use the [ES Module][es-module] available on the [esm][esm-url] branch (see [README][esm-readme]).
- If you are using Deno, visit the [deno][deno-url] branch (see [README][deno-readme] for usage intructions).
- For use in Observable, or in browser/node environments, use the [Universal Module Definition (UMD)][umd] build available on the [umd][umd-url] branch (see [README][umd-readme]).
- To use as a general utility for the command line, install the corresponding [CLI package][cli-section] globally.

The [branches.md][branches-url] file summarizes the available branches and displays a diagram illustrating their relationships.

To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.

## Usage

javascript
var image = require( '@stdlib/datasets-img-black-canyon' );

#### image()

Returns a [buffer][@stdlib/buffer/ctor] containing image data.

javascript
var img = image();
// returns <Buffer>

## Examples

javascript
var image = require( '@stdlib/datasets-img-black-canyon' );

var img = image();
console.log( img );

## CLI

## Installation

To use as a general utility, install the CLI package globally

bash
npm install -g @stdlib/datasets-img-black-canyon-cli

### Usage

text
Usage: img-black-canyon [options]

Options:

  -h,    --help                Print this message.
  -V,    --version             Print the package version.

### Examples

bash
$ img-black-canyon | <image_viewer>

License

Digital image courtesy of the Getty’s [Open Content Program][getty-open-content]. The data files (databases) are licensed under an [Open Data Commons Public Domain Dedication & License 1.0][pddl-1.0] and their contents are licensed under [Creative Commons Zero v1.0 Universal][cc0]. The software is licensed under [Apache License, Version 2.0][apache-license].

*

## Notice

This package is part of [stdlib][stdlib], a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop [stdlib][stdlib], see the main project [repository][stdlib].

#### Community

[![Chat][chat-image]][chat-url]

—-

## Copyright

Copyright © 2016-2025. The Stdlib [Authors][stdlib-authors].