Wissenschaftsladen

This deliverable is aimed to compile the datasets that have been generated in the context of the work done by WP2. In addition to this, the source code to replicate the CS Track database is reported as well in this deliverable, mainly because this database has been used as the main source to generate the corresponding datasets. The details regarding the research conducted in the associated studies are fully documented in D2.2. This deliverable only contains a summary of the corresponding study in order to frame the purpose and relatedness of the dataset. In addition to this, for each dataset it is briefly described the content and its grouping (how data is organised). Each dataset corresponds to different nature of research, this means its content will differ among them.

ZusammenfassungHitze, Trockenheit, Starkregen – viele Menschen in Europa spüren bereits die Auswirkungen des Klimawandels. Wissenschaftliche Untersuchungen und Prognosen zeigen, mit welchen konkreten Klimawandelfolgen auch in Europa in den kommenden Jahren zu rechnen sein wird. Trotz intensivem Klimaschutz werden bestimmte Folgen nicht mehr abwendbar sein. Daher muss das Thema Klimafolgenanpassung in den Fokus rücken. Hier setzt das von der EU im Programm Horizont 2020 geförderte Projekt TeRRIFICA an: Mithilfe einer interaktiven Beteiligungskarte, dem Crowd-Mapping-Tool, wird die Bevölkerung in das Sammeln relevanter Daten einbezogen und kann sich auch in weiteren co-kreativen Prozessen beteiligen. Die Markierungen in der interaktiven Karte sind Erfahrungen und Beobachtungen rund um die Folgen des Klimawandels und dienen als Grundlage, um zunächst auf lokaler Ebene passgenaue Maßnahmen zur Anpassung und weiterführende Aktionspläne zu entwickeln. Darauf aufbauend bilden die Markierungen auch die Grundlage für europaweite Empfehlungen und tragen so direkt zu einem verstärkten innovativem Klimahandeln auf europäischer Ebene bei.

Abstract The COVID-19 pandemic has strained testing capabilities worldwide. There is an urgent need to find economical and scalable ways to test more people. We presentTapestry, a novel quantitative nonadaptive pooling scheme to test many samples using only a few tests. The underlying molecular diagnostic test is any real-time RT-PCR diagnostic panel approved for the detection of the SARS-CoV-2 virus. In cases where most samples are negative for the virus, Tapestry accurately identifies the status of each individual sample with a single round of testing in fewer tests than simple two-round pooling. We also present a companion Android applicationBYOM Smart Testingwhich guides users through the pipetting steps required to perform the combinatorial pooling. The results of the pooled tests can be fed into the application to recover the status and estimated viral load for each individual sample.NOTE: This protocol has been validated with in vitro experiments that used synthetic RNA and DNA fragments and additionally, its expected behavior has been confirmed using computer simulations. Validation with clinical samples is ongoing. We are looking for clinical collaborators with access to patient samples. Please contact the corresponding author if you wish to validate this protocol on clinical samples.