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FTS RSS Temperature Test 1, John C. Stennis Space Center, Nov 2015 Two identical Radar Stage Sensors from Forest Technology Systems, were evaluated to determine if they are suitable for U.S. Geological Survey (USGS) hydrologic data collection. The sensors were evaluated in laboratory conditions to evaluate the distance accuracy of the sensor over the manufacturer’s specified operating temperatures and distance to water ranges. Laboratory results were compared to the manufacturer’s accuracy specification of ±0.007 foot (ft) and the USGS Office of Surface Water (OSW) policy requirement that water level sensors have a measurement uncertainty of no more than 0.01 ft or 0.20 percent of the indicated reading. In the temperature chamber test, both sensors were within the manufacturer’s... Categories: Data; Types: Citation; Tags: John C. Stennis Space Center, Level, Mississippi, Radar, Stage, All tags... Surface Water, Temperature, Fewer tags Water Data for Nisqually River at Site NR1 A vented conductivity, temperature and depth sensor (CTD, InSitu Aqua Troll) was installed at site NR1 (N 47° 04’ 16.1”/W 122° 42’ 15.5”) and continuously measured water temperature, water depth, specific conductance, and salinity at 15-minute intervals from February 11, 2016 to July 18, 2016 (159 days). The sensor was replaced with a vented water-level logger (InSitu Level Troll) on July 19, 2016 and deployed until March 19, 2018 (608 days). The site is tidally influenced and located approximately 4.1 km upstream from the mouth of the Nisqually River and within the tidal prism. The elevation (NAVD88) of the top of the deployment pipe was surveyed by RTN-GPS. Tape-down measurements from the top of the pipe to the... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: Billy Frank Jr. Nisqually National Wildlife Refuge, Hydrodynamics, Sediment, Thurston County, salinity, All tags... specific conductance, stream stage, temperature, time series data, Fewer tags Process-based water temperature predictions in the Midwest US: 1 Spatial data (GIS polygons for 7,150 lakes) This dataset provides shapefile outlines of the 7,150 lakes that had temperature modeled as part of this study. The format is a shapefile for all lakes combined (.shp, .shx, .dbf, and .prj files). A csv file of lake metadata is also included. This dataset is part of a larger data release of lake temperature model inputs and outputs for 7,150 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9CA6XP8). Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: IA, IL, IN, Illinois, Indiana, All tags... Iowa, MI, MN, MO, Michigan, Minnesota, Missouri, ND, NE, Nebraska, North Dakota, OH, Ohio, SD, South Dakota, US, United States, WI, Wisconsin, climate change, environment, hybrid modeling, inlandWaters, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, water resources, Fewer tags Evaluating Coho Salmon in Streams Across an Urbanization Gradient—Part 1, Growth Potential Based on Environmental Factors and Bioenergetics Physical and chemical changes affect the biota within urban streams at varying scales ranging from individual organisms to populations and communities creating complex interactions that present challenges for characterizing and monitoring the impact on species utilizing these freshwater habitats. Salmonids, specifically cutthroat trout (Oncorhynchus clarkii) and coho salmon (Oncorhynchus kisutch), extensively utilize small stream habitats influenced by a changing urban landscape. This study used a comprehensive fish health assessment concurrent with the U.S. Geological Survey’s Pacific Northwest Stream Quality Assessment in 2015 to quantifiy impacts from disease in juvenile coho and cutthroat salmon, impacts to... Categories: Data; Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Aquatic Biology, Bioenergtics, Church Creek, Coulter Creek, East Fork Dairy Cree, All tags... Ecology, Environmental Health, Growth, Harris Creek, Issaquah Creek, Jenkins Creek, Longfellow Creek, May Creek, Otolith, Salmon, Swamp, Temperature, USGS Science Data Catalog (SDC), Urbanization, Water Quality, Woodland Creek, Fewer tags Water Balance Model Inputs and Outputs for the Conterminous United States, 1900-2015 This metadata record describes monthly input and output data covering the period 1900-2015 for a water-balance model described in McCabe and Wolock (2011). The input datasets are precipitation (PPT) and air temperature (TAV) from the PRISM group at Oregon State University. The model outputs include estimated potential evapotranspiration (PET), actual evapotranspiration (AET), runoff (RUN) (streamflow per unit area), soil moisture storage (STO), and snowfall (SNO). The datasets are arranged in tables of monthly total or average values measured in millimeters or degrees C and then multiplied by 100. The data are indexed by the identifier PRISMID, which refers to an ASCII raster of cells in an associated file named... Types: Citation; Tags: Conterminous United States, National Water Quality Program, USGS Science Data Catalog (SDC), Water Resources, evaporation, All tags... precipitation, streamflow, temperature, Fewer tags Data to support water quality modeling efforts in the Delaware River Basin: 2) River and Reservoir Observations This data release contains information to support water quality modeling in the Delaware River Basin (DRB). These data support both process-based and machine learning approaches to water quality modeling, including the prediction of stream temperature. This section contains observations related to the amount and quality of water in the Delaware River Basin. Data from a subset of reservoirs in the basin include observed daily depth-resolved water temperature, water levels, diversions, and releases. Data from streams in the basin include daily flow and temperature observations. Observations were compiled from a variety of sources, including the National Water Inventory System, Water Quality Portal, EcoSHEDS stream... Categories: Data; Tags: DE, Delaware, MD, Maryland, NJ, All tags... NY, New Jersey, New York, PA, Pennsylvania, US, United States, environment, inlandWaters, modeling, reservoirs, streams, temperature, water, water quality, water resources, Fewer tags Water Data for Nisqually River at Site NR3 A vented conductivity, temperature and depth sensor (CTD, InSitu Aqua Troll) was installed at site NR3 (N 47° 05’ 12”/W 122° 42’ 22”) and continuously measured water level, water temperature, specific conductance, and salinity at 15-minute intervals from February 12, 2016 to August 7, 2016 (177 days) and from October 7, 2016 to February 8, 2017 (124 days). This site is tidally influenced and located approximately 2.2 km upstream from the mouth of the Nisqually River. Elevation (NAVD88) of the deployment pipe was surveyed by RTN-GPS. Elevation of pipe plus distance to sensor is included in the offset. The offset needed to convert water depth to NAVD88 water surface elevation is -0.31 meters. . Water depth of the... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Billy Frank Jr. Nisqually National Wildlife Refuge, Hydrodynamics, Sediment, Thurston County, salinity, All tags... specific conductance, stream stage, temperature, time series data, Fewer tags Full annual cycle bioenergetics model of migration applied to Galapagos tortoises—Model This code was created to run a bioenergetics-based model of movement for Galapagos tortoises. It calculates energetic surplus or deficit at a daily time scale based on inputted temperature (6 times a day) and NDVI value (a single value per days), as well as the mass of an individual. It then uses dynamic programming to determine the optimal timing of movement between two foraging habitats, given time-series of NDVI in each habitat, and temperatures in both habitats and in a transition zone between habitats. The model relies on a variety of empirically derived relationships, including allometric relationships, derived for different groups of organisms (i.e., some relationships are based on analyses across multiples... Categories: Software; Types: Citation; Tags: Bioenergetics-based model, Daily time scale, Dynamic programming, Ecuador, Energetic deficit, All tags... Energetic surplus, Espanola Island, Galapagos Archipelago, Galapagos Islands, Model of movement, NDVI values, Normalized difference vegetation index values, Santa Cruz Island, Temperature, migratory movement, Fewer tags Process-based water temperature predictions in the Midwest US: 6 Habitat metrics This dataset summarized a collection of annual thermal metrics to characterize lake temperature impacts on fish habitat for 7,150 lakes from uncalibrated models (PB0) and 449 from calibrated models (PBALL). The dataset includes over 172 annual thermal metrics. Categories: Data; Tags: MN, Minnesota, SD, South Dakota, US, All tags... United States, climate change, environment, hybrid modeling, inlandWaters, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, water resources, Fewer tags Process-guided deep learning water temperature predictions: 2 Model configurations (lake metadata and parameter values) This dataset provides model specifications used to estimate water temperature from a process-based model (Hipsey et al. 2019). The format is a single JSON file indexed for each lake based on the "site_id". This dataset is part of a larger data release of lake temperature model inputs and outputs for 68 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9AQPIVD). Categories: Data; Tags: 007, 012, Fish, MN, Minnesota, All tags... Northeast CASC, Rivers, Streams and Lakes, US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags Process-guided deep learning water temperature predictions: 3b Sparkling Lake inputs This dataset includes model inputs that describe local weather conditions for Sparkling Lake, WI. Weather data comes from two sources: locally measured (2009-2017) and gridded estimates (all other time periods). There are two comma-delimited files, one for weather data (one row per model timestep) and one for ice-flags, which are used by the process-guided deep learning model to determine whether to apply the energy conservation constraint (the constraint is not applied when the lake is presumed to be ice-covered). The ice-cover flag is a modeled output and therefore not a true measurement (see "Predictions" and "pb0" model type for the source of this prediction). This dataset is part of a larger data release of... Categories: Data; Tags: 007, 012, Fish, Northeast CASC, Rivers, Streams and Lakes, All tags... US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags Process-guided deep learning water temperature predictions: 5c All lakes historical prediction data Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin. Process-Based (PB) models were configured and calibrated with training data to reduce root-mean squared error. Uncalibrated models used default configurations (PB0; see Winslow et al. 2016 for details) and no parameters were adjusted according to model fit with observations. Deep Learning (DL) models were Long Short-Term Memory artificial recurrent neural network models which used training data to adjust model structure and weights for temperature predictions (Jia et al. 2019). Process-Guided Deep Learning (PGDL) models were DL models with an added... Categories: Data; Tags: 007, 012, Fish, MN, Minnesota, All tags... Northeast CASC, Rivers, Streams and Lakes, US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags Process-guided deep learning water temperature predictions: 3c All lakes historical inputs This dataset includes model inputs that describe weather conditions for the 68 lakes included in this study. Weather data comes from gridded estimates (Mitchell et al. 2004). There are two comma-separated files, one for weather data (one row per model timestep) and one for ice-flags, which are used by the process-guided deep learning model to determine whether to apply the energy conservation constraint (the constraint is not applied when the lake is presumed to be ice-covered). The ice-cover flag is a modeled output and therefore not a true measurement (see "Predictions" and "pb0" model type for the source of this prediction). This dataset is part of a larger data release of lake temperature model inputs and outputs... Categories: Data; Tags: 007, 012, Fish, MN, Minnesota, All tags... Northeast CASC, Rivers, Streams and Lakes, US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags Variable Infiltration Capacity Model Results for the Canadian River Basin of Oklahoma from 1983 – 2099 Variable Infiltration Capacity model results for several hydroclimatological variables for the Arkansas and Canadian River Basin of Oklahoma. Inputs to models were Daymet climate observations as well as the CCSM4, MIROC5, and MPI ESM LR Global Climate Models using Representative Concentration Pathways 2.6, 4.5 and 8.5. Tags: Arkansas River Basin, Baseflow, Canadian River Basin, Choctaw Nation, Drainage Area, All tags... Evaporation, Kansas, New Mexico, Oklahoma, Precipitation, Runoff, Soil Moisture Content, South Central Oklahoma, Streamflow, Temperature, Texas, The Chickasaw Nation, Transpiration, Variable Infiltration Capacity, biota, Fewer tags Paired air and stream temperature measurements in the Southeastern United States from 2010 to 2015 This data set includes paired air and water temperature data from 204 sites throughout the southern Appalachian region of the United States. Sites were located in randomly selected subwatersheds identified as capable of supporting populations of brook trout. Located at the downstream outlet of the subwatersheds, each site consisted of a logger placed underwater paired with a logger affixed to the bank or a tree. Stream and air temperatures were measured every 30 minutes using the remote logger system. Loggers were deployed from 2010 to 2015. The paired air and water temperatures were summarized into daily and weekly minimum, maximum, and mean values. Site information is included for the temperature data, including... Categories: Data; Tags: Appalachian Region, Southeastern US, brook trout, climatologyMeteorologyAtmosphere, environment, All tags... habitat, location, structure, temperature, Fewer tags Climate, hydrology and riparian vegetation composition data, Grand Canyon, Arizona These data were compiled for monitoring riparian vegetation change along the Colorado River. This file contains data recorded at 42 sandbars between Lees Ferry and Diamond Creek, AZ, which are sampled for both geomorphic and vegetation change annually. Field data contained here were collected from 2012 to 2016 in September and October of each year. Plant species cover values in 5441 1m^2 quadrat frames, locations and elevations of those sampling frames, slope and aspect, sample dates, temperature and precipitation data, and flood frequency parameters were either recorded in the field or calculated. Annual and seasonal climate variables were estimated from eight weather stations distributed along the river corridor... Tags: Arizona, Botany, Climatology, Colorado River, Diamond Creek, All tags... Ecology, Geography, Grand Canyon, Information Sciences, Lees Ferry, USGS Science Data Catalog (SDC), United States, Water Resources, annual climate variable, aspect, average daily peak flow, depth to water table, discharge, elevation, elevation above river stage, flood frequency parameters, inundation, maximum annual temperature, maximum inundation depth, mean annual humidity, mean annual winter precipitation, mean inundation depth, minimum annual temperature, minimum inundation depth, monitoring, monsoon precipitation, plant species, precipitation, quadrat, riparian vegetation, river corridor, sandbars, seasonal climate variable, slope, species cover, temperature, vegetation change, weather stations, Fewer tags GIS data for predicting the occurrence of cave-inhabiting fauna based on features of the Earth surface environment in the Appalachian Landscape Conservation Cooperative (LCC) Region Cave-limited species display patchy and restricted distributions, but are challenging to study in-situ because of the difficulty of sampling. It is often unclear whether the observed distribution is a sampling artifact or a true restriction in range. Further, the drivers of the distribution could be local environmental conditions, such as cave humidity, or they could be associated with surface features that are surrogates for cave conditions. If surface features can be used to predict the distribution of important cave taxa, then conservation management goals can be more easily obtained. These GIS data represent the input and results of a spatial statistical model used to examine the hypothesis that the presence... Types: Citation; Tags: Appalachian Landscape Conservation Cooperative (LCC) Region, USGS Science Data Catalog (SDC), baseflow, biodiversity, caves, All tags... karst, precipitation, soils, species distribution models, species ranges, subterranean species, temperature, topography, troglobionts, Fewer tags Water Data for McAllister Creek at Site MC2 (ver. 1.1, December 2019) An upward-looking acoustic Doppler velocity meter (ADVM; Sontek XR, 1.5 MHz) was deployed in McAllister Creek at site MC2 (N 47° 05’ 43”/W 122° 43’ 38”) and continuously recorded water velocity, temperature and water level at 5-minute intervals from September 26, 2016 to October 14, 2016 (18 days), and at 15-minute intervals from December 2, 2016 to May 25, 2017 (174 days) except for the period of March 6 – 11, 2017 when the sensor was removed for maintenance and battery replacement. The site is tidally influenced and located approximately 0.7 km upstream from the mouth of McAllister Creek. The measurement averaging interval for the ADVM was 60 s. The blanking distance was set at 0.5 m and the cell end was set at... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Billy Frank Jr. Nisqually National Wildlife Refuge, Hydrodynamics, Sediment, Thurston County, salinity, All tags... specific conductance, stream stage, temperature, time series data, Fewer tags Process-guided deep learning water temperature predictions: 3 Model inputs (meteorological inputs and ice flags) This dataset includes model inputs (specifically, weather and flags for predicted ice-cover) and is part of a larger data release of lake temperature model inputs and outputs for 68 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9AQPIVD). Tags: 007, 012, Fish, MN, Minnesota, All tags... Northeast CASC, Rivers, Streams and Lakes, US, United States, WI, Water, Coasts and Ice, Wildlife and Plants, Wisconsin, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperate lakes, temperature, thermal profiles, water, Fewer tags North Pacific Nearshore Sea Surface Temperature (SST) Access Databases 09/1981-12/2009 The Sea Surface Temperature (SST) data of the nearshore region of the North Pacific show temperature ranges in degrees C using points whose locations correspond to the centroids of AVHRR Pathfinder version 5 monthly, global, 4 km data set (PFSST V50). The pathfinder rasters are available from the Physical Oceanography Distributed Active Archive Center (PO.DAAC), hosted by NASA JPL. The data points in this dataset lie within a 20 km buffer from the GSHHS (Global Self-consistent, Hierarchical, High-resolution Shoreline) coastline. The GSHHS vector data are available from the National Geophysical Data Center (NGDC). Furthermore, each point in the SST dataset is categorized by the ecoregion in which it is located. This... Categories: Data; Tags: AVHRR, Aleutian, Asian Pacific, BC, Baja, All tags... British Columbia, CA, California, California Current System, Canada, China, East Asia, Gulf of Alaska, Japan, Kamchatka, Korea, Kuroshio, National CASC, North America, North Pacific, OR, Oregon, Oyashio, Pacific Northwest, Pacific Ocean, Pacific coast, Russia, SST, Sea of Okhotsk, Sea-Level Rise and Coasts, Vancouver, WA, Washington, Water, Coasts and Ice, Yellow Sea, average, biota, coast, coast, ecoregion, global, imageryBaseMapsEarthCover, marine, mean, ocean, oceans, point, remote sensing, satellite, sea surface, shore, temperature, thermal, Fewer tags 1 2 3 4 »