Data Releases
The data collected and the techniques used by USGS scientists should conform to or reference national and international standards and protocols if they exist and when they are relevant and appropriate. For datasets of a given type, and if national or international metadata standards exist, the data are indexed with metadata that facilitates access and integration.
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Database of invasive annual grass spatial products for the western United States January 2010 to February 2021 Database of invasive annual grass spatial products for the western United States January 2010 to February 2021
Invasive annual grasses (IAGs) present a persistent challenge for the ecological management of rangelands, particularly the imperiled sagebrush biome in western North America. Cheatgrass (Bromus tectorum), medusahead (Taeniatherum caput-medusae), and Ventenata spp. are spreading across sagebrush rangelands and already occupy at least 200,000 kilometers squared (km sq.) of the...
Assessment of mercury sources in Alaskan lake food webs (version 1.1, September 2023) Assessment of mercury sources in Alaskan lake food webs (version 1.1, September 2023)
This data release includes results of raw water, soil, seston, and fish tissue samples collected from lakes in southwestern Alaska between 2011 and 2016. Specifically, these data include total mercury and methylmercury concentrations in water, size-sieved seston, and particulate matter of 13 remote lakes. Additionally, these data include soil and volcanic ash measurements from the...
Coast Train--Labeled imagery for training and evaluation of data-driven models for image segmentation Coast Train--Labeled imagery for training and evaluation of data-driven models for image segmentation
Coast Train is a library of images of coastal environments, annotations, and corresponding thematic label masks (or 'label images') collated for the purposes of training and evaluating machine learning (ML), deep learning, and other models for image segmentation. It includes image sets from both geospatial satellite, aerial, and UAV imagery and orthomosaics, as well as non-geospatial...
Data from a turtle trapping effort at a release site of head-started alligator snapping turtles, Macrochelys temminckii, in southwest Louisiana in 2018 Data from a turtle trapping effort at a release site of head-started alligator snapping turtles, Macrochelys temminckii, in southwest Louisiana in 2018
This dataset contains initial data from head-started alligator snapping turtles released by Louisiana Department of Wildlife and Fisheries (LDWF) from November 2015 to October 2016. In addition, it contains data from a five-day trapping effort at each of seven release sites by the United States Geological Survey (USGS) from late June to early October 2018. Trapping was completed using...
Data from a turtle trapping effort targeting alligator snapping turtles (Macrochelys temminckii) in the Atchafalaya Basin beginning in 2019 Data from a turtle trapping effort targeting alligator snapping turtles (Macrochelys temminckii) in the Atchafalaya Basin beginning in 2019
This dataset contains data from an ongoing trapping effort beginning in 2019 targeting alligator snapping turtles (Macrochelys temminckii) in the Atchafalaya Basin of south-central Louisiana.
The Landsat Burned Area products for the conterminous United States (ver. 3.0, March 2022) The Landsat Burned Area products for the conterminous United States (ver. 3.0, March 2022)
The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally-dense time series of Landsat Analysis Ready Data (ARD) scenes to produce the Landsat Burned Area Products. The algorithm makes use of predictors derived from individual ARD Landsat scenes, lagged reference conditions, and change metrics between the scene and reference...