Kyle Enns is a computer scientist at the Fort Collins Science Center, interested in learning new technologies and techniques to help improve USGS systems.
I have a degree in Zoology and Business from Colorado State University. I've been working in software since September of 2017 at USGS on a variety of projects using a suite of different programming languages. Some of these languages include Python, R, and Javascript, which have helped develop standalone applications, front ends, APIs, and backends. I'm interested in learning new technologies and techniques to further my software development skills and to help improve USGS systems.
Science and Products
SageDAT: Data and Tools To Support Collaborative Sagebrush Ecosystem Conservation and Management
Smart Energy Development: Tools for Informed Development & Successful Reclamation
Magnetotelluric Data from the San Andreas Fault, Loma Prieta CA, 1989-1990
Status and Trends of North American Bats Summer Occupancy Analysis 2010-2019 Data Release
Golden Eagle (Aquila chrysaetos) Satellite Telemetry and Observational Data, Western North America, 1993-1997
Golden Eagle (Aquila chrysaetos) Satellite Telemetry and Observational Data, Western North America, 1993-1997
The U.S. Geological Survey (USGS) Data at Risk (DaR) team partnered with the Forest and Rangeland Ecosystem Science Center (FRESC) to preserve and release a subset of their golden eagle telemetry data. In the 1990's, researchers from what is now FRESC worked with Boise State University (BSU) and collected telemetry and ground observation data that documented the local and migratory movements and b
Central Mojave Desert Vegetation Mapping Project, California, 1997-1999: Plots Points and Photographs
River Channel Survey Data, Redwood Creek, California, 1953-2013
Magnetotelluric Data from the San Andreas Fault, Parkfield CA, 1990
Status and trends of North American bats: Summer occupancy analysis 2010-2019
• We developed an analytical pipeline supported by web-based infrastructure for integrating continental scale bat monitoring data (stationary acoustic, mobile acoustic, and capture records) to estimate summer (May 1–Aug 31) occupancy probabilities and changes in occupancy over time for 12 North American bat species. This serves as one of multiple lines of evidence that inform the status and trends
PS3: The Pheno-Synthesis software suite for integration and analysis of multi-scale, multi-platform phenological data
sciencebasepy: A Python library for programmatic interaction with the USGS ScienceBase platform
Software to Process and Preserve Legacy Magnetotelluric Data
USGS BiblioSearch: A python tool to facilitate searching, cleaning, and compiling of literature search results from across multiple citation databases
North American Bat Monitoring Program: R Data Connection Package
Software to Process and Preserve Legacy Magnetotelluric Data
The USGS Crustal Geophysics and Geochemistry Science Center (CGGSC) collaborated with the USGS Data at Risk (DaR) team to preserve and release a subset of magnetotelluric data from the San Andreas Fault in Parkfield, California. The San Andreas Fault data were collected by the Branch of Geophysics, a precursor to the now CGGSC, between 1989 and 1994. The magnetotelluric data selected for this pres
Metadata Wizard
The MetadataWizard is a useful tool designed to facilitate FGDC metadata creation for spatial and non-spatial data sets.
Science and Products
- Science
SageDAT: Data and Tools To Support Collaborative Sagebrush Ecosystem Conservation and Management
The USGS, the BLM, the FWS, and the Western Association of Fish and Wildlife Agencies have developed of a new DOI-funded effort, known as SageDAT.Smart Energy Development: Tools for Informed Development & Successful Reclamation
The USGS is developing science and decision support tools to inform policy and management decisions about various aspects of the energy development life cycle. - Data
Magnetotelluric Data from the San Andreas Fault, Loma Prieta CA, 1989-1990
The U.S. Geological Survey (USGS) Geology, Geophysics and Geochemistry Science Center (GGGSC) collaborated with the USGS Science Analytics and Synthesis (SAS) team to preserve and release a subset of magnetotelluric data from the San Andreas Fault in Loma Prieta, California. The San Andreas Fault data were collected by the Branch of Geophysics, a precursor to the now GGGSC, between 1989 and 1994.Status and Trends of North American Bats Summer Occupancy Analysis 2010-2019 Data Release
This data release contains the results from the North American Bat Monitoring Program's report titled 'Status and Trends of North American Bats Summer Occupancy Analysis 2010-2019'. Specifically, these data include tabular data and geospatial data for the species-specific results related to the status and trends of 12 bat species at multiple spatial scales including: 10 km x 10 km grid cells, statGolden Eagle (Aquila chrysaetos) Satellite Telemetry and Observational Data, Western North America, 1993-1997
The U.S. Geological Survey (USGS) Data at Risk (DaR) team partnered with the Forest and Rangeland Ecosystem Science Center (FRESC) to preserve and release a subset of their golden eagle telemetry data. In the 1990's, researchers from what is now FRESC worked with Boise State University (BSU) and collected telemetry and ground observation data that documented the local and migratory movements and bGolden Eagle (Aquila chrysaetos) Satellite Telemetry and Observational Data, Western North America, 1993-1997
The U.S. Geological Survey (USGS) Data at Risk (DaR) team partnered with the Forest and Rangeland Ecosystem Science Center (FRESC) to preserve and release a subset of their golden eagle telemetry data. In the 1990's, researchers from what is now FRESC worked with Boise State University (BSU) and collected telemetry and ground observation data that documented the local and migratory movements and b
Central Mojave Desert Vegetation Mapping Project, California, 1997-1999: Plots Points and Photographs
The Mojave Plots Points data are 1,219 plot locations in the Central Mojave Desert where field data were recorded and photographs were taken from 1997-1999 to provide context for the classification of the Central Mojave Desert into various vegetation classes. The 1,219 plot locations in the plots points shapefile (plots_points.shp) are each assigned a unique identifier called the FinalPlotCode. TRiver Channel Survey Data, Redwood Creek, California, 1953-2013
Dr. Richard Janda of the USGS began a channel monitoring program in Redwood Creek in northern coastal California in 1973. The USGS continued this work through 2013, when the Research Geologist, Dr. Mary Madej retired. This effort produced 40 years of channel change data in rivers that were disrupted by severe erosion following timber harvest of old-growth redwood forests, a portion of the program'Magnetotelluric Data from the San Andreas Fault, Parkfield CA, 1990
The U.S. Geological Survey (USGS) Geology, Geophysics and Geochemistry Science Center (GGGSC) collaborated with the USGS Data at Risk (DaR) team to preserve and release a subset of magnetotelluric data from the San Andreas Fault in Parkfield, California. The San Andreas Fault data were collected by the Branch of Geophysics, a precursor to the now GGGSC, between 1989 and 1994. The magnetotelluric d - Publications
Status and trends of North American bats: Summer occupancy analysis 2010-2019
• We developed an analytical pipeline supported by web-based infrastructure for integrating continental scale bat monitoring data (stationary acoustic, mobile acoustic, and capture records) to estimate summer (May 1–Aug 31) occupancy probabilities and changes in occupancy over time for 12 North American bat species. This serves as one of multiple lines of evidence that inform the status and trends
PS3: The Pheno-Synthesis software suite for integration and analysis of multi-scale, multi-platform phenological data
Phenology is the study of recurring plant and animal life-cycle stages which can be observed across spatial and temporal scales that span orders of magnitude (e.g., organisms to landscapes). The variety of scales at which phenological processes operate is reflected in the range of methods for collecting phenologically relevant data, and the programs focused on these collections. Consideration of t - Software
sciencebasepy: A Python library for programmatic interaction with the USGS ScienceBase platform
This Python module provides functionality for interacting with the USGS ScienceBase platform: https://www.sciencebase.gov/catalog/ ScienceBase is a Trusted Digital Repository (TDR) in the U.S. Geological Survey (USGS). The platform is developed and maintained by the USGS to provide shared, permission-controlled access to scientific data products and bureau resources. Rather than serving merely asSoftware to Process and Preserve Legacy Magnetotelluric Data
The USGS Crustal Geophysics and Geochemistry Science Center (CGGSC) collaborated with the USGS Data at Risk (DaR) team to preserve and release a subset of magnetotelluric data from the San Andreas Fault in Parkfield, California. The San Andreas Fault data were collected by the Branch of Geophysics, a precursor to the now CGGSC, between 1989 and 1994. The magnetotelluric data selected for this presUSGS BiblioSearch: A python tool to facilitate searching, cleaning, and compiling of literature search results from across multiple citation databases
USGS BiblioSearch is a python tool that performs literature searches across multiple citation databases via APIs or other web services in Python. The tool provides a quick method to query keywords and clean and compile results. Currently, the software includes methods to search four databases - Clarivate Web of Science, Elsevier Scopus, USGS Publications Warehouse, and USGS ScienceBase.North American Bat Monitoring Program: R Data Connection Package
The North American Bat Monitoring Program: R Data Connection Package can be used to extract and upload data to the NABat Monitoring Program through the GQL API. This software is written as a wrapper around the NABat GQL API. Documentation for the database and API can be found at https://sciencebase.usgs.gov/. This code includes the ability to reformat NABat data, upload NABat data, create reports,Software to Process and Preserve Legacy Magnetotelluric Data
The USGS Crustal Geophysics and Geochemistry Science Center (CGGSC) collaborated with the USGS Data at Risk (DaR) team to preserve and release a subset of magnetotelluric data from the San Andreas Fault in Parkfield, California. The San Andreas Fault data were collected by the Branch of Geophysics, a precursor to the now CGGSC, between 1989 and 1994. The magnetotelluric data selected for this pres
Metadata Wizard
The MetadataWizard is a useful tool designed to facilitate FGDC metadata creation for spatial and non-spatial data sets.