Introduction

Welcome to the ESA Human and Robotic Exploration Data Archive (HREDA).

The HRE Data Archive (HREDA) collects information and data of investigations funded or co-funded by ESA’s Directorate for Human and Robotic Exploration (HRE) and performed on microgravity and ground-based facilities since 1972.

This portal is the official entry point that allows the user to navigate through the existing investigations and the generated datasets. It is a joint effort by ESA’s Directorate for Human and Robotic Exploration, the Directorate of Science, and the Science Data Centre (SDC) Madrid.

HREDA web is an official site to deliver the scientific data to the science teams and investigators. It can be accessed in the following address https://hreda.esac.esa.int/hreda

New functionalities and data updates in the archive are found on the Release Notes.

Authentication is mandatory to download any kind of science data (even public).

• If you are not a HREDA user, please register here: https://www.cosmos.esa.int/web/hreda/register.
• In addition, if you need to access restricted data, please contact us at the registration support: registration@sdc.upm.es
• In case you have forgotten your username or password, please go to here: https://www.cosmos.esa.int/web/hreda/username-password-recovery"

These help pages are organized as follows:

The Web Portal Quick Start Guide walks the user through accessing the portal, searching for investigations and data of those investigations, and downloading science products.

In Data Definition section, the user will find a summary on the archive structure, to help downloading data from the web: Sort description on structure from Investigations, Platforms, Missions, Categories, Keywords, Experiments, Datasets and File Metadata information

HREDA TAP+ is the entry point to access HREDA data either via plain HTTP requests or via command line with the use of curl tool. This entry point allows to search and download investigation's data.
The next two sections (HTTP and Command line access) explain how to access the data. Some of the sections provide generic examples, and some dataset specific examples. The two options covered in these pages are:

• Direct HTTP access: access to the archive data using plain HTTP requests
• Command line: access to the archive data via command line, using Curl language.

In the ADQL Syntax section, a quick introduction of the language used at the QUERY parameter of the HTTP requests is presented.

Further information about the purpose of HREDA can be found at About the Archive section.

Contact information section contains the address to contact the archive helpdesk.