Latin American Data in Science <p>Latin American Data in Science (LADS) is a multidisciplinary journal that publishes exclusively data papers. Its purpose is to disseminate information stored in the form of datasets that can be used in new research and to expand the network of partnerships between researchers in different areas.</p> Data in Science Editora en-US Latin American Data in Science 2763-9290 Development and Characterization of an In Silico Database of In Vitro Tested Antiviral Compounds <p>Antivirals are substances that inhibit viral infection or virus replication, acting as drugs to treat viral diseases. However, due the diversity of pathogens, it is important to seek new antivirals. Among the options, repositioning already approved drugs is a cheaper and faster strategy when compared to classical research and development methods. Since there is a lack of compiled and standardized data on these drugs, this work aims to build a database of <em>in vitro</em> antiviral tests. Thus, the compounds and their information were obtained through publications of <em>in vitro</em> methods for testing antiviral drugs, we created six databases covering SMILES, MOL, SDF 2D, MOL2, PDB and PDBQT extensions, classified by the presence and/or absence of antiviral activity. Each file contains its IUPAC name and structural data in up to three dimensions.</p> Nicolas Porto Felix Caio Cheohen Maria Eduarda Alves Esteves Manuela Leal da Silva Copyright (c) 2023 Latin American Data in Science 2023-10-13 2023-10-13 3 2 2 7 10.53805/lads.v3i2.61 Database of wild animals run over on the SP-191, SP-308 and SP-310 highways. <p>This datebase goal is to demonstrate animals species affected by hit-and-run crashes on the following roadways SP-191, SP-308 and SP-310, all of them located in São Paulo, those highways connect São Pedro city to Araras city (SP-310), Charqueada city to Piracibada city (SP- 308) and Cordeirópolis city to São Carlos city (sp-310). Dated between years 2019 to 2022, the concessionaires Eixo-SP and Intervias, based on the occurrences, carried out a survey of the wild fauna run over in the stretches mentioned above, and have made a spreadsheet containing the common and scientific from affected species, date, hour, coordenations (UTM), kilometrage, road direction, animal destination (live or dead) or if something happened to the animal's carcass. From the spreadsheets, the most committed species were analyzed, taking into account the total number of occurrences and the number of animals of each species. The data present in this work contain relevant information on which species are most affected by road kill in the given regions.</p> Luíza Martins Copyright (c) 2023 Latin American Data in Science 2023-12-02 2023-12-02 3 2 8 11 10.53805/lads.v3i2.64