# **Project Proposal** > [(If you're already familiar with this project check it's status here > on Project Outcomes)][1] After being awarded ClusterSeedFunding at the summer meeting 2015, the Drone Cluster was able to purchase necessary development hardware for (amongst other goals) the purposes of building the proposed Science Standardised Embedded Drone Data infrastructure (SSEDD). (See the clusters [SeedFunding Project][2] for a [full report][3] and [data analyses][4], software, and the data from that work.) **The primary purposes of SSEDD are:** **1.** To make small scale low cost unmanned aircraft systems (UASs) more readily accessible to Earth Scientists. **2.** To lower the learning curve required to use such platforms. **3.** To provide a degree of automated data qualification. While not yet published in a beta form, a mixture of funded and volunteer time, and the hardware funding received, has seen SSEDD already presented to a range of communities where it has received significant support for the concept and design (2015 AGU poster session, 2016 San Diego Embedded Linux and open IoT Conference, 2016 San Diego DroneCode Community Meeting). Further, a recent (July 2016) flight campaign involving agriculture CO2 monitoring allowed for the testing of some basic functionalities. This [testbed incubation proposal][5] sought to enable the transformation of SSEDD from its current design and partial implementation state, into a functioning beta release that will be made available for public testing, viewing, and reference in future proposal submissions. Jane Wyngaard PhD, Lindsay Barbieri [1]: https://osf.io/vszw7/wiki/Project%20Outcomes/ [2]: https://osf.io/ze95f/ [3]: https://osf.io/uys9m/ [4]: http://testbed.esipfed.org/projectrbieri [5]: http://testbed.esipfed.org/projectrbieri