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Spatial data on landslide occurrence across the U.S. varies greatly in quality, accessibility, and extent. This problem of data variability is common across USGS Mission Areas; it presents an obstacle to developing national-scale products and to identifying areas with relatively good/bad data coverage. We compiled available data of known landslides into a national-scale, searchable online map, which greatly increases public access to landslide hazard information. Additionally, we held a workshop with landslide practitioners and sought broader input from the CDI community; based on recommendations we identified a limited subset of essential attributes for inclusion in our product. We also defined a quantitative metric...
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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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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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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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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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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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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); 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. Given the differing...
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...
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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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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,...
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The goal of this project was to maximize the value of expensive animal tagging data. We developed an interactive web application to help scientists understand patterns in their own tagging datasets and to help scientists, funders and agencies communicate tagging data to decision-makers and to the general public. Interactive visualizations have emerged recently as a valuable tool for identifying patterns in complex datasets that are typical of ecological tagging studies. To make it easier and faster for users to gain access to interactive movement visualizations, we developed the algorithms and web-based software platform to allow users to upload their own data into a data visualization showing dynamic movement of...
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Computational models are important tools that aid process understanding, hypothesis testing, and data interpretation. The ability to easily couple models from various domains such as, surface-water and groundwater, to form integrated models will aid studies in water resources. This project investigates the use of the Community Surface Dynamics Modeling System (CSDMS) Modeling Framework (CMF) to couple existing USGS hydrologic models into integrated models. The CMF provides a Basic Model Interface (BMI), in a range of common computer languages, that enables model coupling. In addition, the CMF also provides a Python wrapper for any model that adopts the BMI. In this project the Precipitation-Runoff Modeling...
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Identifying, extracting, and mobilizing information from current and historical literature is a time-consuming part of organizing and collating synthetic data productions. This project explored the use of algorithm-based methods to identify and extract occurrence information from the GeoDeepDive (GDD) literature database to support upkeep of the Nonindigenous Aquatic Species (NAS) data. The GeoDeepDive API was extended to include query capabilities on terms from the Integrated Taxonomic Information System (ITIS). This functionality helped support identification of literature mentioning/focusing on species that are tracked by the Nonindigenous Aquatic Species Database. These methods were paired with algorithms to...
Scientists who study coastal ecosystems and hazards such as hurricanes, flooding, and cliff failure collect lots of photographs of coastal environments from airplanes and drones. A large area can be surveyed at high resolution and low cost. Additionally, satellites such as Landsat have provided imagery of the Nation’s coastlines every few days for decades. Scientist’s ability to understand coastal hazards would be greatly improved if this wealth of imagery could be ‘mined’ automatically by computers. We want to automate the process of identifying and labelling each region of the image from a set of categories (e.g. bare land, water, woody vegetation, herbaceous vegetation). We need to train a computer to recognize...
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Rangeland systems are some of our nation’s largest providers of agro-ecological services, sustaining plant productivity that is highly variable across seasons and years. Although the ability to predict the upcoming growing season’s rangeland productivity would have enormous economic and management value – such as for making decisions about cattle stocking rates, fire, restoration, and wildlife – the ability to provide these forecasts has remained poor. New remote sensing and modeling technologies allow for dramatic improvements to near-term forecasts of rangeland productivity. With this project, our multi-disciplinary team has shown that, compared with traditional remote sensing greenness indices, NIRv-based (NIR...
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The Nonindigenous Aquatic Species (NAS) Database and Alert System (https://nas.er.usgs.gov/default.aspx) provides a framework for the rapid dissemination of new invasions as they are incorporated into the NAS Database. The system notifies registered users of new sightings of >1,330 non-native aquatic species as part of national-scale early detection and rapid response systems (EDRR), and in support of several federal programs: National Invasive Species Council, Aquatic Nuisance Species Task Force, and other Department of the Interior agencies. The NAS group has developed a new tool, the Alert Risk Mapper (ARM; https://nas.er.usgs.gov/AlertSystem/default.aspx), to characterize river reaches, lakes, and other waterbodies...
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Legacy data (n) - Information stored in an old or obsolete format or computer system that is, therefore, difficult to access or process. (Business Dictionary, 2016) For over 135 years, the U.S. Geological Survey has collected diverse information about the natural world and how it interacts with society. Much of this legacy information is one-of-a-kind and in danger of being lost forever through decay of materials, obsolete technology, or staff changes. Several laws and orders require federal agencies to preserve and provide the public access to federally collected scientific information. The information is to be archived in a manner that allows others to examine the materials for new information or interpretations....


map background search result map search result map Developing a USGS Legacy Data Inventory to Preserve and Release Historical USGS Data Developing a USGS Legacy Data Inventory to Preserve and Release Historical USGS Data