TITAN comprises a well-grounded stack of Big Data technologies including Apache Kafka for inter-component communication, Apache Avro for data serialisation and Apache Spark for data analytics. Furthermore, DRAMA framework is the underlying workflow orchestrator engine used by TITAN.

pyporcc is an open-source Python package developed to detect and classify harbour porpoise’s clicks in audio files using the PorCC algorithm and offering the possibility to create new clicks classifiers. It provides a framework to train different models such as Support Vector Machines, Linear Support Vector Machines, Random Forest and K-Nearest Neighbour that classify sound clips in Noise, and Low-Quality and High-Quality harbour porpoises’ clicks. The algorithm from PAMGuard to detect possible clicks clips is also implemented.

The Remote Monitoring and Smart Sensing Analysis Service is a web server designed to cover the entire process (from the selection, downloading to the view and analysis) required to work with satellite data products. First, the web server provides an Interface to search, find and download Sentinel & Landsat satellite products easily, and after then provides different tools to manage and work with the products. During the downloading process, the user can perform a valid search for different zones, and also restrict the queries by different keywords: cloud coverage, date, platform name (S1, S2, L8). In case of interruptions or other exceptions, downloading will restart from where it left off. At the same time, a geospatial integration with Smart Sensing data (where applicable, mainly from isolated areas) will be performed In terms of data treatment, the following products are available to be processed: • Sentinel-1 • Sentinel-2 • Landsat 8

Brolio-AGRESTO-AIF3P6 is one of the trials of the Agresto plot within the Brolio site. Trial: ground cover plants.

This service aims to be a citizen science portal where users can contribute with images of Glacier Lagoons in Sierra Nevada and its surroundings.

bioRad provides standardized methods for extracting and reporting biological signals from weather radars. It includes functionality to inspect low-level radar data, process these data into meaningful biological information on animal speeds and directions at different altitudes in the atmosphere, visualize these biological extractions, and calculate further summary statistics.

Camera Trap Data Package (or Camtrap DP for short) is a community developed data exchange format for camera trap data. A Camtrap DP is a Frictionless Data Package (https://frictionlessdata.io/data-package/) that consists of 4 files: - datapackage.json: metadata regarding the data package and camera trap project. - deployments.csv: a table with camera trap deployments. - multimedia.csv: a table compiling multimedia files taken by the camera traps. - observations.csv: a table with observations based on the multimedia files. The Camtrap DP package is documented on a website (https://tdwg.github.io/camtrap-dp/). Camtrap DP is managed by the Machine Observations Interest Group of Biodiversity Information Standards (TDWG). It was originally developed by the Open Science Conservation Fund and the Research Institute for Nature and Forest (INBO). Camtrap DP is endorsed the camera trap data management systems Agouti, eMammal, TRAPPER, Wildlife Insights and already available as an export format in some of these.

pyhydrophone is an open-source Python package that has been developed to ease the import of underwater sound data recorded with a hydrophone to python, so postprocessing and AI can be easily performed on the data afterwards. Different recorders can be added with their different way of reading metadata, so the users do not have to worry about the format but just about the outcome.

This package provides functionality to access data from the European Tracking Network (ETN) database hosted by the Flanders Marine Institute (VLIZ) as part of the Flemish contribution to LifeWatch. ETN data is subject to the ETN data policy and can be: - restricted: under moratorium and only accessible to logged-in data owners/collaborators - unrestricted: publicly accessible without login and routinely published to international biodiversity facilities The ETN infrastructure currently requires the package to be run within the LifeWatch.be RStudio server, which is password protected. A login can be requested at http://www.lifewatch.be/etn/contact.

The Biodiversity Data Portal of Portugal provided access to biodiversity occurrence data published by national institutions through the Global Biodiversity Information Facility (GBIF), and data published by foreign institutions for the Portuguese territory. This portal implemented by the Portuguese Node of GBIF, under the scope of PORBIOTA-LifeWatch.Pt, corresponds to the implementation of the national platform of the Atlas of Living Australia. The platform is currently supported by the community Living Atlases, a community of GBIF Nodes and other partners. The implementation of the platform seeks to answer to access needs for biodiversity data, with access and data analysis adjusted to Portugal, and its geographic, administrative, biogeographic and ecological context. Moreover, it provides tools for data analysis with greater details and capacity for details.