ERDDAP is a scientific data server that gives users a simple, consistent way to download subsets of gridded and tabular scientific datasets in common file formats and make graphs and maps. ERDDAP is a Free and Open Source (Apache and Apache-like) Java Servlet from NOAA NMFS SWFSC Environmental Research Division (ERD).

A curated list of awesome Erddap projects and deployments

R client for working with ERDDAP servers

Docker image extending the official ERDDAP image with custom functionality

ERDDAP Client for python

A demonstration of connecting Erddap to Leaflet Velocity maps

Showcase how to easily access Argo data

A "hands-off" ETL program to automatically upload, update, and manage ERDDAP data on ArcGIS Online (AGOL).

Data reuse saves time and accelerates the pace of scientific discovery. But how do you actually reuse the data that you put in repositories? This is a 4 hour workshop tailored to the ocean sciences. We aim to teach the basics of data reuse using ERDDAP servers maintained by ocean science specific repo's and programs and pulling these data into t…

A lint tool for Erddap data server configurations

CIOOS Pacific ERDDAP main repository used to maintain, develop and integrate ERDDAP datasets.

Package contains handy and customize tool for downloading data from ERDDAP website with API

Pulling tide tables from an instance of NOAA's Erddap data server. Demo code for Salthill, Galway, Ireland

The /opt/tomcat/content/erddap/datasets.xml file for the SalishSeaCast ERDDAP server along with Jupyter notebooks and docs that support the maintenance of datasets.xml. Also the /opt/tomcat/content/erddap/setup.xml file that contains the markup for the ERDDAP index page.

Command line interface for searching, describing, and querying public ERDDAP server datasets.

Application to send data acquired through Citizen Science activities to Nautilos erddap data server

An interactive Jupyter/IPython widget for accessign data from any public ERDDAP server

The content of [tomcat]/webapps/erddap (with a few extra files).

This project provides a tool to generate various metadata formats and standards from the Hakai(CIOOS) metadata catalog form yaml format. It aims to facilitate the sharing and citation of datasets by converting metadata records into widely recognized standards.

Data reuse saves time and accelerates the pace of scientific discovery. But how do you actually reuse the data that you put in repositories? This is a 4 hour workshop tailored to the ocean sciences. We aim to teach the basics of data reuse using ERDDAP servers maintained by ocean science specific repo's and programs