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

1. Install Node.js.

2. Install MongoDB.

3. 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
   }]);
   

4. Install R language.

5. Open R language command line, and run the following command to install dependencies.

   > install.packages(c("pavo", "rjson"))
   

6. 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.