Results of the 2016 Indianapolis Biodiversity Survey, Marion County, Indiana

Surprising biodiversity can be found in cities, but urban habitats are understudied. We report on a bioblitz conducted primarily within a 24-hr period on September 16 and 17, 2016 in Indianapolis, Indiana, USA. The event focused on stretches of three waterways and their associated riparian habitat: Fall Creek (20.6 ha; 51 acres), Pleasant Run (23.5 ha; 58 acres), and Pogue’s Run (27.1 ha; 67 acres). Over 75 scientists, naturalists, students, and citizen volunteers comprised 14 different taxonomic teams. Five hundred ninety taxa were documented despite the rainy conditions. A brief summary of the methods and findings are presented here. Detailed maps of survey locations and inventory results are available on the Indiana Academy of Science website (https://www.indianaacademyofscience.org/)

Inverting the model of genomics data sharing with the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space

The NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL; https://anvilproject.org) was developed to address a widespread community need for a unified computing environment for genomics data storage, management, and analysis. In this perspective, we present AnVIL, describe its ecosystem and interoperability with other platforms, and highlight how this platform and associated initiatives contribute to improved genomic data sharing efforts. The AnVIL is a federated cloud platform designed to manage and store genomics and related data, enable population-scale analysis, and facilitate collaboration through the sharing of data, code, and analysis results. By inverting the traditional model of data sharing, the AnVIL eliminates the need for data movement while also adding security measures for active threat detection and monitoring and provides scalable, shared computing resources for any researcher. We describe the core data management and analysis components of the AnVIL, which currently consists of Terra, Gen3, Galaxy, RStudio/Bioconductor, Dockstore, and Jupyter, and describe several flagship genomics datasets available within the AnVIL. We continue to extend and innovate the AnVIL ecosystem by implementing new capabilities, including mechanisms for interoperability and responsible data sharing, while streamlining access management. The AnVIL opens many new opportunities for analysis, collaboration, and data sharing that are needed to drive research and to make discoveries through the joint analysis of hundreds of thousands to millions of genomes along with associated clinical and molecular data types

Impact of Forest Management Techniques on Bats with a Focus on the Endangered Indiana Myotis (Myotis Sodalis)

Understanding how forest management practices impact bats is important for maintaining a diverse bat community; rare species, especially the federally endangered Indiana myotis (Myotis sodalis) need special consideration. Bats play an important role in the environment because they prey on insects, especially pest species, and conservation of viable foraging and roosting habitats is critical. Positive and negative aspects of the implementation of forest management techniques are discussed for each bat species. Bats were sampled using mist nets at four locations in Morgan-Monroe and five locations in Yellowwood State Forests twice during each summer 2006-2008. Netting locations were adjacent to or in forest stands scheduled for experimental manipulations following conclusion of netting in 2008. This effort produced 342 bats. These data provide a baseline to understand how bats are affected by long-term forest manipulations. An acoustical survey was conducted in summer 2007 to determine forest habitats where bat species occur. Anabat II bat detectors in four habitat types,--interior forest, canopy gap, forest edge, and corridors--produced calls from 7 species, a total of 3113 calls (842 corridor, 681 forest edge, 1075 canopy gap, and 515 forest interior) during 337 sample nights. Occupancy of each habitat by each species was determined; canopy gaps were occupied most, followed by forest edge, corridors, and interior forest. These data are used to predict the response of bats to forest manipulations.Jeremy J SheetsWhitaker, John O.Virgil BrackMarion T. JacksonMaster of ScienceDepartment of BiologyCunningham Memorial library, Terre Haute,Indiana State UniversityGS071610-201001MastersTitle from document title page. Document formatted into pages: contains 80 p.: ill. Includes abstract and appendix

A civilização maia: contextualização historiográfica e arqueológica The Mayan Civilization: historiographic and archeological contextualization

Este artigo versa sobre a contextualização historiográfica e arqueológica da civilização maia. O intuito é traçar um perfil das primeiras explorações nos sítios arqueológicos, observar a construção do conhecimento criada acerca das primeiras informações obtidas pela Arqueologia, além das diversas vinculações das pesquisas empreendidas em relação aos contextos históricos de sua época e as teorias utilizadas atualmente pelos maístas.<br>This article deals with the historiographic and archeological contextualization of the Mayan civilization. Its purpose is to trace the profile of the first explorations into archeological sites, the construction of the knowledge created around the first information obtained by Archeology, as well as the diverse research links undertaken in relation to the historical contexts of its time, and the theories used at present by the Mayanists