PTAL is a research project founded by the European Commission through the H2020 program, which is aimed to provide the scientific community with a novel library of terrestrial analogue materials that have been selected according to their similarity to well-known Martian geological contexts (https://ptal.eu/). Planned to be released to public on October 2021, the PTAL platform (http://erica.uva.es/PTAL/) will provide future users with free access to complementary spectroscopic and diffractometric data gathered from over 100 terrestrial analogues. Beside the use of commercial instruments, this database stands out for providing access to data collected by means of analytical spare models (FS) and representative prototypes of Raman (RLS and SuperCam simulators) VNIR (MicrOmega-FS) and LIBS (ChemCam-FS) systems onboard the Perseverance and Rosalind Franklin rovers soon landing on Mars. As the PTAL database is meant to facilitate the scientific exploitation of the data returne d by Mars2020 and ExoMars missions, this townhall meeting is meant to present the final version of the online PTAL platform and discuss with attendees about PTAL analytical data and spectroscopic tools.

The work package "Machine Learning Solutions for Data Analysis and Exploitation in Planetary Science" within Europlanet 2024 Research Infrastructure will develop machine learning (ML) powered data analysis and exploitation tools optimized for planetary science.
In this workshop, we will introduce an ML pipeline for the automated detection of boundary crossings around Mercury in solar wind time series data. First, we will briefly give an overview about the physical problem. Then, we will guide the participants through the developed ML code with the help of a sample data set of solar wind time series data from the MESSENGER spacecraft. At the end, we will also cover problems encountered during the development of the pipeline.

The code for the ML pipeline will be freely available on the repository "EPSC2021-MercuryBoundaries-workshop" of our public GitHub account (https://github.com/epn-ml). We strongly encourage the participants to clone the repository and have a look at the material prior to the workshop.

Europlanet 2024 RI has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 871149.

The Europlanet Telescope Network, a collaboration between currently 16 small to medium-scale telescopes around the world, was established in June 2020 and seeks to provide access to interested observers, who can apply through a rolling call for observations to utilize its diverse facilities (see website: bit.ly/2Br5LDt). To further enhance pro-am collaboration within planetary sciences, the network additionally offers a wide range of support towards the amateur community such as pro-am and training workshops, online platforms, and the opportunity to observe at professional telescope facilities.

This splinter will further introduce to the related ExoClock project (www.exoclock.space), a platform through which amateur astronomers can support ESA's Ariel space mission through the observation of exoplanet transits.

The preliminary program will, therefore, host a series of talks covering

- the Europlanet Telescope Network,
- the Europlanet fireballs workshop series,
- comet pro-am observations and collaborations,
- Venus amateur observations from BepiColombo’s flybys to Envision,
- the ExoClock project, and
- amateur observations of exoplanets and the participation within ExoClock

We will meet and work together to edit or translate Wikipedia articles of planetary scientists from underrepresented communities (female researchers, scientists of color, etc.).

We will meet and work together to edit or translate Wikipedia articles of planetary scientists from underrepresented communities (female researchers, scientists of color, etc.).

We will meet and work together to edit or translate Wikipedia articles of planetary scientists from underrepresented communities (female researchers, scientists of color, etc.).

We will meet and work together to edit or translate Wikipedia articles of planetary scientists from underrepresented communities (female researchers, scientists of color, etc.).

The work package "Machine Learning Solutions for Data Analysis and Exploitation in Planetary Science" within Europlanet 2024 Research Infrastructure will develop machine learning (ML) powered data analysis and exploitation tools optimized for planetary science.
In this workshop, we will introduce an ML pipeline for the automated detection of interplanetary coronal mass ejections (ICMEs) in solar wind time series data. First, we will briefly give an overview about the physical problem and its relevance for space weather. Then, we will guide the participants through the developed ML code with the help of a sample data set of solar wind time series data from different spacecraft. At the end, we will also cover problems encountered during the development of the pipeline.

The code for the ML pipeline will be freely available on the repository "EPSC2021-ICME-workshop" of our public GitHub account (https://github.com/epn-ml). We strongly encourage the participants to clone the repository and have a look at the material prior to the workshop.

Europlanet 2024 RI has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871149.

We will run demonstrations of data search through the VESPA portal and associated tools.
User feedback is expected in particular for the portal layout / ergonomics and for special applications (e. g., to cross-correlate data from fireball networks or amateur databases).

The splinter is aimed to gather the community of planetary scientists interested in geologic mapping and present the tools and services of GMAP, as well as mapping projects from the community - https://www.europlanet-gmap.eu