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Folders: ROOT > ScienceBase Catalog > Community for Data Integration (CDI) ( Show direct descendants )

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How can the public discover opportunities for participation in USGS scientific research? What citizen science projects are currently active within the USGS? How may PIs increase public engagement in and awareness of their citizen science projects? To address these questions, a web application leveraging existing Community for Data Integration (CDI) and USGS work was created to allow unprecedented public access to USGS citizen science project metadata and highlights of key science outcomes. Such an application enables, for the first time, high-visibility, unified open access to information about projects and practices related to citizen participation in USGS research. The need for such information was identified...
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The purpose of this project was to support the enhanced search, access, and visualization capability for disaster maps and other contributed products on the public USGS Hazards Data Distribution System (HDDS) (U.S. Geological Survey, 2015). These products are often provided to USGS by collaborators for sharing across the response community during the course of an emergency event response; however, in the past, they were not easy for users to discover or access. This project involved the design, testing, and delivery of a new capability for HDDS to ingest, catalog, and display informational or value-added products when provided in a variety of formats. As a result of this work, the user community will be able to...
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Science is an increasingly collaborative endeavor. In an era of Web-enabled research, new tools reduce barriers to collaboration across traditional geographic and disciplinary divides and improve the quality and efficiency of science. Collaborative online code management has moved project collaboration from a manual process of email and thumb drives into a traceable, streamlined system where code can move directly from the command-line onto the Web for discussion, sharing, and open contributions. Within the USGS, however, data have no such analogous system. To bring data collaboration and sharing within the USGS to the next level, we are missing crucial components. The sbtools project team built sbtools, an R interface...
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We developed an Internet of Things (IoT) prototype and associated cloud infrastructure for camera-based data collection and initial processing of river streamflow using the cloud (fig. 1). This pilot successfully created a hardware and cloud infrastructure to collect and upload video from a camera gage at San Pedro Creek in San Antonio, Texas. Using a ThingLogix Foundry instance in the Amazon Webservices Cloud, we have created a cloud framework that can auto-provision new camera-based gaging equipment, as well as process incoming videos into image frames for the computation of streamflow. Additionally, we began testing of serving timeseries data from a camera gage (water level and CPU temperature) using real-time...
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Environmental DNA (eDNA) testing allows for high sensitivity monitoring efforts of cryptic species in large, remote systems and is performed by investigating water and soil samples for sloughed DNA. Having access to eDNA datasets across multiple taxa and ecosystems is necessary for improved coordination among researchers and management. Additionally, quality control protocols are needed to vet incoming database submissions. We developed a mechanism to submit eDNA data to the USGS Nonindigenous Aquatic Species (NAS) database, which currently maps and displays visual identification or physical capture data for non-native aquatic species. We have been working within the invasive species and eDNA communities to establish...
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Sinkholes present hazards to humans due to subsidence and by focusing contaminated surface water runoff into groundwater. Sinkholes create instability in the foundations of buildings, roads and other infrastructure, resulting in damage and in some cases loss of life, but may also play an important role as vernal pools in some ecosystems. This project created a prototype nationwide subsidence susceptibility map using established USGS research, existing USGS authoritative data (National Elevation Dataset, National Hydrography Dataset), and innovative processing techniques using the USGS Yeti supercomputer. By creating both a national polygon dataset of closed features and a heatmap of regions characterized by dense...
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Access to up-to-date geospatial data is critical when responding to natural hazards-related crises, such as volcanic eruptions. To address the need to reliably provide access to near real-time USGS datasets, we developed a process to allow data managers within the USGS Volcano Hazard Program to programmatically publish geospatial webservices to a cloud-based instance of GeoServer hosted on Amazon Web Services (AWS), using ScienceBase. To accomplish this, we developed a new process in the ScienceBase application, added new functionality to the ScienceBase Python library (sciencebasepy), and assembled a functioning Python workflow demonstrating how users can gather data from a web API and publish these data as a cloud-based...
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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....
The California Climate Commons (CCC) and USGS Geo Data Portal (GDP) teams have collaborated to curate and host California and Great Basin Characterization Model (BCM) results. The CCC has successfully set up a web-server and installed needed software to serve these model results using data and web service standards that are compatible with the GDP. All raw monthly data has been transferred to the GDP team for processing and metadata development for hosting on the GDP. The GDP and CCC teams have made significant progress in converting raw BCM model data to archive formats and are moving forward as planned. The project experienced delays in transferring funds to the Point Blue Conservation Science team responsible...
2012 Updates - Phase 2 (information from the FY12 CDI Annual Report) This project solicited input from USGS Mission Areas, Geographic Areas, CDI, etc. on Phase 1 FY11 Data Management Education Products. The proposal called for an interface with Data Management Website Working Group to make materials available. The work also included the development of content for a USGS data management training program based upon existing materials and data management training. Finally, development of a format/structure for data management training workshop was completed. Principal Investigator : Heather S Henkel, Vivian B Hutchison Benefits Inform and encourage broadest possible application of data Management best practices...
This project identified collected, and characterized existing online monitoring methods and protocol collection tools that USGS manages or is a substantial collaborator. It also identified the common elements between existing protocol libraries content and functionality. The project examined the results of the USGS Monitoring workshop in December 2011 that provided information about stakeholder needs to form the future scope of monitoring library components and functionality. Finally, the project developed a mechanism via the Data Management website for USGS scientists to identify their needs with regards to seeking monitoring protocols for a particular methodology and or other protocol access, reference, and citation...
What USGS programs use citizen science? How can projects be best designed while meeting policy requirements? What are the most effective volunteer recruitment methods? What data should be collected to ensure validation and how should data be stored? What standard protocols are most easily used by volunteers? Can data from multiple projects be integrated to support new research or existing science questions? To help answer these and other questions, the USGS CDI supported the development of the Citizen Science Working Group (CSWG) in August 2011 and funded the Working Group’s proposal to hold a USGS Citizen Science Workshop in fiscal year 2012. The USGS Citizen Science Workshop goals were: To raise awareness of...
The Fort Collins Science Center Web Applications Team, the Core Science Analytics and Synthesis unit of the Core Science Systems Mission Area, and a North Central Climate Science Center/NCAR/NOAA partnership group collaborated on a set of automated tools to allow remapping of the Federal Geographic Data Committee (FGDC) metadata standards to International Organization for Standardization (ISO) metadata standards. This project addressed the challenge of expediting the conversion of millions of metadata records in multiple USGS catalogs that run the risk of being left in a deprecated transfer format. The project set the stage for metadata conversions by: 1. Providing roadmaps and automated processes to remap FGDC...
The CDI Data Management Best Practices Focus Group—led by John Faundeen—determined that the best path to success in preserving and making our science accessible lies in identifying and consistently applying data management standards, tools, and methods at each stage of what the group terms the “USGS scientific data life cycle.” To assist in achieving this goal, the group developed a Scientific Life Cycle Model that accurately captures how USGS scientists conduct their projects, reflecting the stages that science data go through from initial selection through collection, preparation, use, dissemination, and final disposition. The Group designed a visual representation of the Model to articulate its key components,...
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Web portals are one of the principal ways geospatial information can be communicated to the public. A few prominent USGS examples are the Geo Data Portal (http://cida.usgs.gov/gdp/ [URL is accessible with Google Chrome]), EarthExplorer (http://earthexplorer.usgs.gov/), the former Derived Downscaled Climate Projection Portal, the Alaska Portal Map (http://alaska.usgs.gov/portal/), the Coastal Change Hazards Portal (http://marine.usgs.gov/coastalchangehazardsportal/), and The National Map (http://nationalmap.gov/). Currently, web portals are developed at relatively high effort and cost, with web developers working with highly skilled data specialists on custom solutions that meet user needs. To address this issue,...
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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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Ice jams are a major hazard. The project team worked with the US Army Corps of Engineers, National Weather Service, Silver Jackets, and USGS stakeholders to develop a mobile-friendly prototype of an Ice Jam Hazard website and reporting system. The prototype shows how ice jam conditions can be recorded nationwide. The public can view and download ice jam information. Historic ice jam locations and frequencies, as well as potentially hazardous developing ice jams, are valuable data. Given the science, modeling, and hazard warning potential provided by this data, continued development of this system is widely supported. The prototype system consists of an Angular-Material framework javascript client hosted on Amazon...
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The goal of this project was to develop a novel methodology to combine the USGS Gap Analysis Program (GAP) national land cover and species distribution data with disturbance data to describe and predict how disturbance affects biodiversity. Specifically, the project team presented a case study examining how energy development in the Williston Basin can affect grassland birds; however, the methods developed are scalable and transferable to other types of habitat conversion (anthropogenic or natural), regions, and taxa. This project had six key components: Develop a dataset delineating all oil well pads in the Williston Basin. Develop a habitat conversion tool to determine the amount and previous land cover from...
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A unique opportunity for USGS to collaborate with IRIS-PASSCAL (the national seismic instrument facility) has presented itself to develop a geophysical data archive format that follows FAIR principles. IRIS-PASSCAL is extending facility to include magnetotelluric (MT) instruments prescribing the need for them to archive collected MT data by extending their existing protocol. Concurrently, Congress has mandated the USGS to collect nationwide MT data (5000 stations) which will all need to be archived under FAIR principles. In collaboration with IRIS-PASSCAL, we propose to develop a generalized HDF5 format for archiving MT data which can easily be extended to other geophysical data in the future. This project will...
Wildfires are increasing across the western U.S., causing damage to ecosystems and communities. Addressing the fire problem requires understanding the trends and drivers of fire, yet most fire data is limited only to recent decades. Tree-ring fire scars provide fire records spanning 300-500 years, yet these data are largely inaccessible to potential users. Our project will deliver the newly compiled North American Fire Scar Network — 2,592 sites, 35,602 trees, and > 300,000 fire records — to fire scientists, managers and the public through an online application that will provide tools to explore, visualize, and analyze fire history data. The app will provide raw and derived data products, graphics, statistical summaries,...