https://ojs.datainscience.com.br/index.php/lads <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 https://ojs.datainscience.com.br/index.php/lads/article/view/67 <p>Malaria, a life-threatening disease, is preventable and curable. However, the World Health Organization reported alarming statistics for the year 2021, estimating 247 million cases of malaria worldwide, resulting in 619,000 deaths. In Brazil, cases of malaria are concentrated in the region of the Amazon rainforest, known as the Legal Amazon. In response to calls for more research to adapt malaria mitigation and eradication strategies to local conditions, this article presents a dataset based on data collected from the Malaria Epidemiological Surveillance Information System (SIVEP-Malaria) for the period from January 2003 to December 2022 on patients diagnosed with malaria. The pre-processed data set is composed of 1,251,309 records of confirmed malaria cases and included four attributes (Date, Municipality, Test results, and Notifications), attributes considered essential for the development and application of series modeling techniques temporal. By making this dataset available, it is intended to provide researchers with the necessary tools to develop effective strategies for mitigating and eradicating malaria in the region.</p> Kayo Monteiro Sebastiao Rogerio da Silva Neto Élisson da Silva Rocha Leonardo de Carvalho Maia Cássio Peterka Vanderson Souza Sampaio Raphael Augusto Dourado Theo Lynn Patricia Takako Endo Copyright (c) 2024 Latin American Data in Science https://creativecommons.org/licenses/by/4.0 2024-11-13 2024-11-13 4 1 11 19 10.53805/lads.v4i1.67 https://ojs.datainscience.com.br/index.php/lads/article/view/68 <p>Thematic mapping data originally made on paper is often not used in spatial analysis because they are not available digitally nor structured for use in geographic information systems. This is the case with the geological mapping of the Coastal Province of Rio Grande do Sul, published by CECO-Center for Coastal Geology Studies at the Geosciences Institute of the Federal University of Rio Grande do Sul. The mapping was published in 1984 in the form of a geological atlas comprising 14 maps on a scale of 1:100,000, covering an area of 12,349.07 km² of the north and central-east coast of the state of Rio Grande do Sul, Brazil. The aim of this article is to increase access to information by making the geological mapping available in the form of a geospatial database. The work involved digitazation and polygonizing the mapping units of each individual map and filling in the data in the attributes table. The 14 mapping maps were then concatenated, resulting in a geospatial database in shapefile format. This data is available in the geographic coordinate system, without projection, SIRGAS2000 datum. This mapping has already served as auxiliary information for the geological map of the State Rio Grande do Sul at a scale of 1:750,000 and the geomorphological map of the coastal plain and lowlands at a scale of 1:500,000, as well as thematic information in technical work aimed at regional planning and land use planning.</p> Allan de Oliveira de Oliveira Eliana Casco Sarmento Roberta Roxilene dos Santos Heinrich Hasenack Eliseu José Weber Maria Luiza Correa da Camara Rosa Copyright (c) 2024 Latin American Data in Science https://creativecommons.org/licenses/by/4.0 2024-10-16 2024-10-16 4 1 2 10 10.53805/lads.v4i1.68