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ScienceCache was originally developed as a mobile device data collection application for a citizen science project. ScienceCache communicates with a centralized database that facilitates near real-time use of collected data that enhances efficiency of data collection in the field. We improved ScienceCache by creating a flexible, reliable platform that reduces effort required to set up a survey and manage incoming data. Now, ScienceCache can be easily adapted for citizen science projects as well as restricted to specific users for private internal research. We improved scEdit, a web application interface, to allow for creation of more-complex data collection forms and survey routes to support scientific studies....
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Summary: Extreme flooding can threaten life and property in flood-prone areas, as well as cause damage to critical infrastructure along roadways and canals. The effective management of these areas, and appropriate design of structures along rivers and streams, relies on understanding the magnitude and frequency of floods at gaged locations, and the ability to estimate these data at ungaged streams. Peak flow analysis and development of regional regression equations to estimate peak flow frequency and magnitude for New York have not been updated using any new data collected since 1999 (Lumia, 2006). As more data and newer technology have become available there is a need to update these data. The updated regression...
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Geotagged photographs have become a useful medium for recording, analyzing, and communicating Earth science phenomena. Despite their utility, many field photographs are not published or preserved in a spatial or accessible format—oftentimes because of confusion about photograph metadata, a lack of stability, or user customization in free photo sharing platforms. After receiving a request to release about 1,210 geotagged geological field photographs of the Grand Canyon region, we set out to publish and preserve the collection in the most robust (and expedient) manner possible (fig. 6). We leveraged and reworked existing metadata, JavaScript, and Python tools and developed a toolkit and proposed workflow to display...
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USGS scientists often face computationally intensive tasks that require high-throughput computing capabilities. Several USGS facilities use HTCondor to run their computational pools but are not necessarily connected to the larger USGS pool. This project demonstrated how to connect HTCondor pools by flocking, or coordinating, within the USGS. In addition to flocking the Upper Midwest Environmental Science Center and the Wisconsin Water Science Center, we have flocked with the USGS Advanced Research Computing Yeti supercomputing cluster and other water science centers. We also developed tutorials on how to sandbox code using Docker within the USGS environment for use with high-throughput computing. A main accomplishment...
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The purpose of this project was to integrate the Bat Banding Program data (1932-1972) and the U.S. and Canada diagnostic data for white-nose syndrome with the USGS Bat Population Data (BPD) Project and provide the bat research community with secure, role-based access to these previously unavailable datasets. The objectives of this project were to: 1) integrate WNS diagnostic data into the BPD (http://my.usgs.gov/bpd - content no longer available); 2) incorporate the historical bat banding data produced by the Bat Banding Program into the BPD; and, 3) develop the application programming interfaces (APIs) and data services required to share these datasets with DOI and USGS enterprise data resources, BISON and Sciencebase....
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U.S. Geological Survey (USGS) scientists are at the forefront of research that is critical for decision-making, particularly through the development of models (Bayesian networks, or BNs) that forecast coastal change. The utility of these tools outside the scientific community has been limited because they rely on expensive, technical software and a moderate understanding of statistical analyses. We proposed to convert one of our models from proprietary to freely available open-source software, resulting in a portable interactive web-interface. The resulting product will serve as a prototype to demonstrate how interdisciplinary USGS science and models can be transformed into an approachable format for decision-makers....
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A BioBlitz is a field survey method for finding and documenting as many species as possible in a specific area over a short period. The National Park Service and National Geographic Society hosted the largest BioBlitz survey ever in 2016; people in more than 120 national parks used the iNaturalist app on mobile devices to document organisms they observed. Resulting records have Global Positioning System (GPS) coordinates, include biological accuracy assessments, and provide an unprecedented snapshot of biodiversity nationwide. Additional processing and analysis would make these data available to inform conservation and management decisions. This project developed a process to integrate iNaturalist data with existing...
The scientific legacy of the USGS is the data and the scientific knowledge derived from it gathered over 130 years of research. However, it is widely assumed, and in some cases known, that high quality data, particularly legacy data critical for large time-scale analyses such as climate change and habitat change, is hidden away in case files, file cabinets, and hard drives housed in USGS science centers and field stations (both hereafter “science centers”). Many USGS science centers, such as the Fort Collins Science Center, have long, established research histories, are known repositories of data sets, and conduct periodic “file room cleanout” days that establish and enforce some minimal data lifecycle management...


    map background search result map search result map Methods for Estimation Flood Magnitude and Frequency at Ungaged Streams in New York, excluding Long Island Methods for Estimation Flood Magnitude and Frequency at Ungaged Streams in New York, excluding Long Island