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Lunar Orbiter Laster Altimeter (LOLA) RDR Cloud Optimized Point Cloud (COPC) Data Release Lunar Orbiter Laster Altimeter (LOLA) RDR Cloud Optimized Point Cloud (COPC) Data Release
These data are Lunar Orbiter Laster Altimeter (LOLA) Reduced Data Record (RDR) spot observations, released by the LOLA team to the Planetary Data System (PDS) that have been reformatted into the American Society for Photogrammetry and Remote Sensing (ASPRS) LAZ/Cloud Optimized Point Cloud (COPC) file format.
Fluvial Erosion Hazard Geospatial Network from the Marengo River Watershed, Ashland County, Wisconsin (ver. 2.0, February 2026) Fluvial Erosion Hazard Geospatial Network from the Marengo River Watershed, Ashland County, Wisconsin (ver. 2.0, February 2026)
An extreme flood in 2016 caused widespread culvert blockages and road failures across northern Wisconsin, including extensive damage along steep tributaries and ravines in the Marengo River watershed. Along with the flooding, there were fluvial erosion hazards (FEH) associated with a large amount of erosion in headwater areas. Of special concern were FEHs associated with gullying, loss...
Water Quality and Molecular Data for Upper Klamath Lake, OR, 2016 Water Quality and Molecular Data for Upper Klamath Lake, OR, 2016
Upper Klamath Lake, located in southern Oregon, is a hypereutrophic lake where cyanobacterial blooms, dominated by Aphanizomenon flos-aquae (AFA), occur every summer. The decay of excess biomass after AFA senescence leads to problematic water quality conditions including high pH ( > 9) and anoxia. Water samples from the photic zone and bottom of the water column, and the flocculation...
Ground magnetic data, Spring Valley, White Pine County, Nevada Ground magnetic data, Spring Valley, White Pine County, Nevada
Rattlesnake Knoll is a small, isolated 30-meter-high mound of igneous breccia in the center of Spring Valley, White Pine County, Nevada. There is a small gravity anomaly associated with the knoll which, when combined with an initial, limited ground magnetic survey, indicates that rocks of the knoll probably extend northward in the subsurface. To explore this possibility, a 16-kilometer...
Data to support Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies Data to support Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies
This data release contains one dataset and one model archive in support of the journal article, "Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies," by Jennifer C. Murphy and Jeffrey G. Chanat. The model archive contains scripts (run in R) to reproduce the four machine learning models (logistic regression, linear and...
Projections of Rangeland Fractional Component Cover Across Western US Rangelands for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods Projections of Rangeland Fractional Component Cover Across Western US Rangelands for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods
Climate change over the past century has altered vegetation community composition and species distributions across rangelands in the western United States. The scale and magnitude of climatic influences are largely unknown. While a number of studies have projected the impacts of climate change using several modeling approaches, none has evaluated impacts to fractional component cover at...