Nature's Palette

An open-access digital repository of spectral data with advanced search functions. It allows researchers to easily supply their spectral data without going through onerous data processing which is a major barrier to data sharing.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

Install Node.js.
Install MongoDB.

Connect to MongoDB, create the following two collections in database 'Palette'.

> use Palette
switched to db Palette
> db.searchterms.insertMany([{
   "name": "institutionCode"
}, {
   "name": "collectionCode"
}, {
   "name": "catalogueNumber"
}, {
   "name": "class"
}, {
   "name": "order"
}, {
   "name": "family"
}, {
   "name": "genus"
}, {
   "name": "specificEpithet"
}, {
   "name": "infraspecificEpithet"
}, {
   "name": "sex"
}, {
   "name": "lifeStage"
}, {
   "name": "country"
}, {
   "name": "Patch"
}]);
> db.usergroups.insertMany([{
   "name": "Researchers",
   "updateSearchTerm": false,
   "uploadFiles": true
}, {
   "name": "Administrator",
   "updateSearchTerm": true,
   "uploadFiles": true
}]);

Install R language.
Open R language command line, and run the following command to install dependencies.
```
> install.packages(c("pavo", "rjson"))
```
Use npm to install dependencies.
```
$ npm install
```

Configuration

Create config.js just like config_sample.js, and change its values according to your own needs.

Running the project

Run the file bin/www using Node.js under your project directory.

$ node bin/www

Test

Use a browser to access the running website: http://localhost:3337/

Authors

Tao Liu
Shuaishuai Li
Nanzatov Aiur
Jingyao Li

See also the list of contributors who participated in this project.