Data
Browse real-time data, data releases and more.
All Data
All Data
Filter Total Items: 16656
Cladophora biomass and supporting data collected in the Great Lakes, 2018 (ver. 2.0, June 2023) Cladophora biomass and supporting data collected in the Great Lakes, 2018 (ver. 2.0, June 2023)
This dataset records Cladophora and associated submerged aquatic vegetation (SAV) biomass collected approximately monthly during the growing season of 2018 at stations located along the U.S. shoreline of Lakes Michigan, Huron, Erie, and Ontario. It also records a variety of supporting data collected at Cladophora measurement stations. These supporting data include: - seasonal time series...
Soil Water Balance Model datasets and models used to evaluate potential recharge to the Floridan Aquifer System, 1895 through 2010 Soil Water Balance Model datasets and models used to evaluate potential recharge to the Floridan Aquifer System, 1895 through 2010
A soil-water balance model (SWB) was developed to estimate potential recharge and irrigation water demand from the groundwater flow system in Florida and parts of Georgia, Alabama, and South Carolina for the period 1895 through 2010. This SWB model executable code detailed in the report SWB A Modified Thornthwaite-Mather Soil-Water-Balance Code for Estimating Groundwater Recharge...
Soil-Water Balance model and datasets used to estimate groundwater recharge Brunswick, New Hanover, and Pender counties North Carolina 1980 through 2016 Soil-Water Balance model and datasets used to estimate groundwater recharge Brunswick, New Hanover, and Pender counties North Carolina 1980 through 2016
Soil water balance model archive for portions of North Carolina. The model was created to estimate recharge to the groundwater flow system in Brunswick, New Hanover, and Pender counties in North Carolina. The development of the model input and output files included in this model archive were created to support a regional groundwater flow model being produced for the surficial, Castle...
Growth of cultured Picocystis strain ML in the presence of arsenic, and occurrence of arsenolipids in these Picocystis as well as biota and sediment from Mono Lake, California Growth of cultured Picocystis strain ML in the presence of arsenic, and occurrence of arsenolipids in these Picocystis as well as biota and sediment from Mono Lake, California
Mono Lake is a hypersaline soda lake rich in dissolved inorganic arsenic with its primary production currently dominated by Picocystis str. ML. We set out to determine if this picoplankter could metabolize inorganic arsenic, and in doing so form unusual arsenolipids (e.g., methylated arsinoyl ribosides) as reported in other saline ecosystems and by halophilic algae. We cultivated...
Data Release associated with Data Series - DOI/GTN-P Climate and Active-Layer Data Acquired in the National Petroleum Reserve-Alaska and the Arctic National Wildlife Refuge, 1998-2019 (ver. 3.0, March 2021) Data Release associated with Data Series - DOI/GTN-P Climate and Active-Layer Data Acquired in the National Petroleum Reserve-Alaska and the Arctic National Wildlife Refuge, 1998-2019 (ver. 3.0, March 2021)
This release provides data collected by the climate monitoring array of the U.S. Department of the Interior on Federal lands in Arctic Alaska over the period August 1998 to July 2019; this array is part of the Global Terrestrial Network for Permafrost (DOI/GTN-P). In addition to presenting data, this release also describes monitoring, data collection, and quality-control methods. The...
Riparian vegetation, topography, sediment quality and river corridor geomorphology in the Lower Virgin River 2010-2017 Riparian vegetation, topography, sediment quality and river corridor geomorphology in the Lower Virgin River 2010-2017
Plant composition, geomorphic conditions and sediment properties before (2010-2012) and after (2015-2017) the arrival of a biocontrol agent (defoliating beetle in the Diorhabda genus) of invasive Tamarix spp. The data contains four csv files: localization (UTM coordinates of the transects), vegetation and geomorphology, species codes and sediment quality