Science Analytics and Synthesis (SAS)
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Science Analytics and Synthesis (SAS) emphasizes a science data lifecycle approach to Earth systems data and information. We strive to accelerate research and decision making through data science, information delivery, advanced computing, and biodiversity analytics.
Gap Analysis Project Species Viewer
The Gap Analysis Project Species Viewer is focused on providing access to species range maps and predicted habitat distribution models for species within the continental U.S. through an interactive map, allowing the user to explore the data.
ViewerHawaii Waterfalls Linked to the National Hydrography Datasets
Waterfall locations and estimated waterfall heights on five of the main Hawaiian Islands linked the NHD. Knowing waterfall locations and characteristics can aide in understanding species distributions and migration patterns across stream networks.
Get DataComprehensive List of Non-Native Species in AK-HI-L48, V2.0
A compilation and analysis of authoritative assertions of the nonindigenous status of taxa in Alaska, Hawaii, and the conterminous United States of America.
Get DataNews
Seminar Sept 17th at 1 pm ET - Climate Extremes and Irrigation Water Source and Use Dominate Water Storage Changes Monitored by GRACE Satellites in Major U.S. Aquifers
Join us online, Sept 17th at 1 pm ET, 11 MT - Join Microsoft Teams Meeting (...
Call for proposals: LTER Office Network (LNO) Award Registration Information for Synthesis Working Groups
NSF's Long Term Ecological Reaserach Network (LTER) is releasing a call for proposals for synthesis working groups.
Understanding and Predicting Wetland Methane Emissions
When: February 27, 2020 at 4 pm MT
Where: B218 E‐Conference Room, CSU Natural & Environmental Science Building (NESB)
Online: https://zoom.us/j/732190660
Who: Dr. Rob Jackson, Stanford University & members of the...
Publications
U.S. Geological Survey Community for Data Integration 2019 Workshop Proceedings—From big data to smart data
The U.S. Geological Survey (USGS) Community for Data Integration (CDI) Workshop was held during June 3–7, 2019, at Center Green in Boulder, Colo. The theme of the workshop was “From Big Data to Smart Data” with the purpose of bringing together the community to discuss current topics, shared challenges, and steps forward to advance twenty-first...
Hsu, Leslie
USGS enterprise tools for efficient and effective management of science data
The Science Data Management Branch (SDM) of the U.S. Geological Survey (USGS) provides data management expertise and leadership and develops guidance and tools to support the USGS in providing the nation with reliable scientific information on the basis of which to describe the Earth. The SDM suite of tools supports the USGS Data Management...
Hutchison, Vivian B.; Liford, Amanda; McClees-Funinan, Ricardo; Zolly, Lisa; Ignizio, Drew; Langseth, Madison; Serna, Brandon; Sellers, Elizabeth; Hsu, Leslie; Norkin, Tamar; McNiff, Marcia; Donovan, Grace
Ecological forecasting—21st century science for 21st century management
Natural resource managers are coping with rapid changes in both environmental conditions and ecosystems. Enabled by recent advances in data collection and assimilation, short-term ecological forecasting may be a powerful tool to help resource managers anticipate impending near-term changes in ecosystem conditions or dynamics. Managers may use the...
Bradford, John B.; Weltzin, Jake F.; Mccormick, Molly; Baron, Jill; Bowen, Zack; Bristol, Sky; Carlisle, Daren; Crimmins, Theresa; Cross, Paul; DeVivo, Joe; Dietze, Mike; Freeman, Mary; Goldberg, Jason; Hooten, Mevin; Hsu, Leslie; Jenni, Karen; Keisman, Jennifer; Kennen, Jonathan; Lee, Kathy; Lesmes, David; Loftin, Keith; Miller, Brian W.; Murdoch, Peter; Newman, Jana; Prentice, Karen L.; Rangwala, Imtiaz; Read, Jordan; Sieracki, Jennifer; Sofaer, Helen; Thur, Steve; Toevs, Gordon; Werner, Francisco; White, C. LeAnn; White, Timothy; Wiltermuth, Mark