Skip to main content
U.S. flag

An official website of the United States government

Kyle Enns

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. 

Projects: 

  • ScienceBase - developer/PI - https://www.sciencebase.gov/catalog 
  • Inundation - developer - FORT project - data pipelines/analysis/database 
  • CED - developer/devops - https://conservationefforts.org
     

Professional Experience

  • Computer Scientist, Fort Collins Science Center, USGS

Education and Certifications

  • Zoology and Business, Colorado State University

Science and Products

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

Authors
Bradley James Udell, Bethany Straw, Tina L. Cheng, Kyle Enns, Winifred F. Frick, Benjamin Gotthold, Kathryn Irvine, Cori Lausen, Susan Loeb, Jonathan D. Reichard, Thomas J. Rodhouse, Dane Smith, Christian Stratton, Wayne E. Thogmartin, Brian Reichert
By
Ecosystems Mission Area, Fort Collins Science Center, Northern Rocky Mountain Science Center, Upper Midwest Environmental Sciences Center

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
Authors
Jeffrey Morisette, Katharyn A Duffy, Jake Weltzin, Dawn M Browning, Lee R Marsh, Aaron Friesz, Luke J Zachmann, Kyle Enns, Vincent A. Landau, Katharine L. Gerst, Theresa M. Crimmins, Katherine D. Jones, Tony Chang, Brian W. Miller, Tom Maiersperger, Andrew D. Richardson
By
Ecosystems Mission Area, Earth Resources Observation and Science (EROS) Center , Fort Collins Science Center
link
Sage-grouse on a lek

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.
By
Land Management Research Program, Fort Collins Science Center
link

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.
Learn More
link
Energy development in the west.

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.
By
Fort Collins Science Center
link

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.
Learn More

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.
By
Geology, Geophysics, and Geochemistry Science Center

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, stat
By
Fort Collins Science Center

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
By
Forest and Rangeland Ecosystem Science Center

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. T
By
Core Science Systems Mission Area, Science Analytics and Synthesis (SAS) Program, Community for Data Integration (CDI), Fort Collins Science Center, Great Lakes Science Center, Southwest Biological Science Center, Communications and Publishing

River 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'
By
Core Science Systems Mission Area, Science Analytics and Synthesis (SAS) Program, Community for Data Integration (CDI), Fort Collins Science Center, Great Lakes Science Center

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
By
Core Science Systems Mission Area, Science Analytics and Synthesis (SAS) Program, Community for Data Integration (CDI), Fort Collins Science Center, Great Lakes Science Center

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 as
By
Science Synthesis, Analysis and Research Program, Science Analytics and Synthesis (SAS) Program

USGS 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.
By
Fort Collins Science Center

North American Bat Monitoring Program: R Data Connection Package, (Version 1.0.1)

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,
By
Fort Collins Science Center

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
By
Core Science Systems Mission Area, Science Analytics and Synthesis (SAS) Program, Community for Data Integration (CDI), Fort Collins Science Center

Metadata Wizard

The MetadataWizard is a useful tool designed to facilitate FGDC metadata creation for spatial and non-spatial data sets.

By
Science Analytics and Synthesis (SAS) Program, Community for Data Integration (CDI), Fort Collins Science Center, Science Data Management
FORT scientists host the second annual Big Rivers Data Integration Workshop

FORT scientists host the second annual Big Rivers Data Integration Workshop

From December 5–6 the Fort Collins Science Center hosted the second annual Big Rivers Data Integration Workshop, combining efforts by scientists at...

Read Article

Science and Products