Lake Superior is geographically located between Canada and the United States, and accounts for the largest volume of water among the Great Lakes in North America, with approximately 12,000 cubic kilometers. Collectively, the Great Lakes are the second-largest group of freshwater lakes on Earth by volume.

The United States has an average elevation of roughly 2,500 feet (763m) above sea level, however there is a stark contrast in elevations across the country. Highest states Colorado is the highest state in the United States, with an average elevation of 6,800 feet (2,074m) above sea level. The 10 states with the highest average elevation are all in the western region of the country, as this is, by far, the most mountainous region in the country. The largest mountain ranges in the contiguous western states are the Rocky Mountains, Sierra Nevada, and Cascade Range, while the Appalachian Mountains is the longest range in the east - however, the highest point in the U.S. is Denali (Mount McKinley), found in Alaska. Lowest states At just 60 feet above sea level, Delaware is the state with the lowest elevation. Delaware is the second smallest state, behind Rhode Island, and is located on the east coast. Larger states with relatively low elevations are found in the southern region of the country - both Florida and Louisiana have an average elevation of just 100 feet (31m) above sea level, and large sections of these states are extremely vulnerable to flooding and rising sea levels, as well as intermittent tropical storms.

The data were generated by modeling wetted width, thalweg depth, bankfull width, and bankfull depth measurements from the USEPA's National Rivers and Streams Assessments. Models were developed with StreamCat data (https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset-0) as predictor variables in random forest models. Models were then applied to perennial NHDPlus (version 2.1) stream segments to produce 1.1 million estimated values across the conterminous US. The data, upon publication of the companion journal article, will be also distributed as part of the StreamCat dataset. This dataset is associated with the following publication: Doyle, J., R. Hill, S. Leibowitz, and J. Ebersole. Random forest models to estimate bankfull and low flow channel widths and depths across the conterminous United States. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 59(5): 1099-1114, (2023).

At 3:41pm on August 16, 2020, preliminary temperatures in Death Valley, United States reached 130 degrees Fahrenheit. This was the highest temperature recorded on Earth since 1913, when temperatures in Death Valley reached more than 130 degrees Fahrenheit on both July 10 and 13. However, due to the reliability of older temperature recordings being questioned, it is possible that the temperature recorded on August 16, 2020 could be the hottest ever reliably recorded temperature on Earth. Located in the Mojave Desert in Eastern California, Death Valley is known for its extreme weather and is one of the hottest places on the planet.

This EnviroAtlas dataset categorizes land cover into structural elements (e.g. core, edge, connector, etc.). It depicts core areas of natural land cover, core fragmentation, and patterns of connectivity among core patches. Water is treated as foreground in this dataset; waterbodies are included with core natural areas and included in the analysis with the natural land cover classes. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This dataset provides Level 1 (L1) remotely sensed differential absorption optical depth (DAOD) measurements made through the Multi-Functional Fiber Laser Lidar (MFLL; Harris Corporation) during airborne campaigns in Summer 2016, Winter 2017, Fall 2017, and Spring 2018 conducted over central and eastern regions of the United States for the Atmospheric Carbon and Transport (ACT-America) project. DAOD were measured at 0.1 second frequency during flights of the C-130 Hercules aircraft at altitudes up to 8 km with MFLL. The MFLL is a set of Continuous-Wave (CW) lidar instruments consisting of an intensity modulated multi-frequency single-beam synchronous-detection Laser Absorption Spectrometer (LAS) operating at 1571 nm for measuring the column amount of CO2 number density and range between the aircraft and the surface or to cloud tops, and surface reflectance and a Pseudo-random Noise (PN) altimeter at 1596 nm for measuring the path length from the aircraft to the scattering surface and/or cloud tops. The MFLL was onboard all ACT-America seasonal campaigns, except Summer 2019. Complete aircraft flight information, interpolated to the 0.1 second column CO2 reporting frequency, are included, but not limited to, latitude, longitude, altitude, and attitude. Data users should note that a Level 2 (L2) MFLL data product is available (related dataset) that contains all data variables (plus the column-average CO2) included in this L1 MFLL data product but has undergone additional processing and calibrations and is recommended for most use cases.

2636 United States import shipment records of Width natural with prices, volume & current Buyer’s suppliers relationships based on actual United States import trade database.

This dataset provides elevation, hydrogeomorphic zone classification, soil carbon content, bulk density, organic matter content, and sediment accretion measurements collected at feldspar stations established near Louisiana's Coastwide Reference Monitoring Systems (CRMS) sites and on Mike Island in Wax Lake Delta (WLD). Feldspar stations were established to capture recent sediment deposition rates across hydrogeomorphic zones defined as discrete surface elevation ranges relative to NAVD88 (e.g., subtidal 0.30 m). Hydrogeomorphic zones classification was based on marsh surface elevation measurements acquired in November - December 2020 using a RTK GPS (Trible R12, using Geoid 18). Between two and four feldspar stations were deployed approximately 25 and 50 meters from a main channel to represent existing hydrogeomorphic zones in brackish and saline emergent marsh vegetation, brackish and saline ponds within emergent marshes, tidal freshwater emergent marshes, and forested swamps. Cryocore technique was used to determine recent sediment deposition. Soil samples were collected to determine organic and inorganic fractions and organic carbon content. The data cover the Delta-X field studies conducted from Fall 2020 through Fall 2023. The first feldspar markers were deployed in October of 2019. The data are provided in comma-separated values (CSV) format.

0 United States import shipment records of Fibres width from Cn China with prices, volume & current Buyer’s suppliers relationships based on actual United States import trade database.

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Tree Ring. The data include parameters of tree ring with a geographic location of Alaska, United States Of America. The time period coverage is from 750 to -37 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

This dataset provides measurements from the High Altitude Lidar Observatory (HALO) instrument, an airborne multi-function Differential Absorption Lidar (DIAL) and High Spectral Resolution Lidar (HSRL), operating at 532 nm and 1064 nm wavelengths onboard a C-130 aircraft during the June and July 2019 ACT-America campaign. The flights took place over eastern and central North America based from Shreveport, Louisiana; Lincoln, Nebraska; and NASA Wallops Flight Facility located on the eastern shore of Virginia. HALO data were sampled at 0.5 s temporal and 1.25 m vertical resolutions. The data include profiles of aerosol optical properties (AOP), distributions of mixed layer heights (MLH), columns of tropospheric methane, and navigation parameters. The data are provided in HDF5 format along with PNG images and a companion files in Portable Document (*.pdf) format.

Aim Adult body size often exhibits patterns across large-scale environmental gradients, creating ecogeographic clines. However, the form of body size clines varies across taxonomic groups, with linear and non-linear patterns in body size observed in nature. Non-linear body size clines have received less study, and questions remain about how environmental gradients interact to produce non-linear clines. We examined the body size of the American horseshoe crab (Limulus polyphemus), a widely distributed marine arthropod, and evaluated the hypothesis that temperature and active season length can interact multiplicatively to result in a dome-shaped distribution. Location Fourteen states in the United States of America and three Mexican states, representing the entire geographic range of the species. Methods We compiled environmental data and body size measurements from more than 49,000 individual horseshoe crabs. For each location, we extracted from the literature or calculated from raw data the mean male prosoma width and the mean female prosoma width. We applied a General Additive Modeling (GAM) approach to characterize the body size cline, test a hypothesis regarding temperature and season length, and explore evidence for the influence of additional environmental factors. Results Model results indicate temperature and season length could act multiplicatively to produce dome-shaped clines, and these findings align with and quantify previous anecdotal reports of a strong dome-shaped body size cline across latitude for horseshoe crabs. Main conclusions Active season length appears to become relatively more influential on horseshoe crab body size in the northern part of their range, while temperature effects per se appear to dominate in southern latitudes. For horseshoe crabs, the pattern of size variation is consistent with the predictions of Optimal Resource Allocation models, but more study is needed to elucidate mechanistic underpinnings. Considering climate change projections, results from our study suggest future shifts in horseshoe crab body sizes. Methods Data Collection Body Size Data We searched journal articles, books, and federal and state agency reports for published information on the body size of mature adult horseshoe crabs in North America. We also located an unpublished manuscript that added information from Delaware Bay and a Smithsonian Institution website provided sizes for animals from the Indian River Lagoon in Florida, USA. We supplemented these with original field data collected from Stony Brook, New York, USA (2007); Skidaway (2007) and Sapelo (2009) Islands, Georgia, USA; Seahorse Key, Florida, USA (1995–1997, 2007–2009); and the citizen science program Florida Horseshoe Crab Watch (2015–2022; Heres et al., 2021). In total, we compiled measurements from 49,877 individuals from 77 different locations in North America (14 USA states and 3 Mexican states), representing the entire geographic range of the species. For each location, we extracted from the literature or calculated from raw data the mean male and female prosoma width (PW) in cm, resulting in 153 observations of mean adult horseshoe crab body size. Before analysis, we filtered out means that were based on less than three individuals due to concerns that low sample size could result in biased estimates, resulting in a total of 144 estimates of mean body size (nfemale = 73, nmale = 71). Body size measurements were derived only from mature adults in their terminal molt. Animals were mostly collected while spawning on the beach, but some were collected offshore during trawl surveys. While most body size measurements were reported as PW, four sites used inter-ocular distance (IO) and these data were converted to PW before analysis. Environmental Data For locations in the USA, we gathered values from the National Oceanic and Atmospheric Administration’s (NOAA) online databases on the climatological mean for 1) annual sea temperature (°C) at 0 m, 2) salinity (ppt) at 0 m, and 3) tidal range (m), calculated as the difference between mean higher high water (MHHW) and mean lower low water (MLLW). For sites in Mexico, data for tidal range (m) were retrieved from the National Autonomous University of Mexico: National Tidal Service. We used the 2018 NOAA World Ocean Atlas, a uniformly formatted, quality controlled, data set compiled from more than 20,000 separate archived datasets and standardized using quality flags and objective tests, to gather the objectively analyzed means of both temperature and salinity at a ¼° scale. We selected values for temperature and salinity at 0 m depth because horseshoe crabs are often found in relatively shallow waters (i.e., depth < 10 m). We then averaged temperature and salinity to within a 1° scale over all available years (2005–2017) (Boyer et al., 2018). We calculated active season as the number of days per year above the minimum temperature at which horseshoe crabs are active using NOAA’s Center for Operational Oceanographic Products and Services data from the nearest harmonic tidal buoy for daily water temperature averages. Based on previous studies (detailed above), we used the following minimum autumn and spring temperatures in order to calculate active season for our different locations: (1) Maine to New Hampshire, USA: spring = 11°C, autumn = 12°C; (2) Massachusetts to Delaware, USA: spring = 13°C, autumn = 14°C; (3) Maryland to Georgia, USA: spring = 15°C, autumn = 16°C; and (4) Florida, USA to Yucatán, Mexico: spring = 17°C, autumn = 18°C. We used NOAA data to determine tidal range at all but the Mexico sites by subtracting the yearly mean of the average higher high tide and average lower low tide for the most recent available year (2022) as daily tidal highs and lows are only retained for one year (Parker, 2007). At the sites in Mexico, we took the average annual monthly high tides and low tides and subtracted from each other to obtain the average tidal range.

Boyer, T.P. Garcia, H. E.. Locarnini, R. A.. Zweng, M. M.. Mishonov, A. V.. Reagan, J. R., … Smolyar, I. V. (2018). World Ocean Atlas 2018. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/NCEI-WOA18. Accessed 22 November 2021. Heres, B., Crowley, C., Barry, S., & Brockmann, H., (2021). Using citizen science to track population trends in the American horseshoe crab (Limulus polyphemus) in Florida. Citizen Science: Theory and Practice, 6(1), 19, 1–12. https://doi.org/10.5334/cstp.385

Parker, B. B. (2007). Tidal Analysis and Prediction. Silver Spring, MD: Center for Operational Oceanographic Products and Services, National Ocean Service, National Oceanic and Atmospheric Administration. NOAA Special Publication NOS CO-OPS 3. https://doi.org/10.25607/OBP-191

Access to SOLUS mapsDescriptionSOLUS100AccessData Citations DescriptionSoil Landscapes of the United States, or SOLUS, is a national map product developed by the National Cooperative Soil Survey that is focused on providing a consistent set of spatially continuous soil property maps to support large scope soil investigations and land use decisions. SOLUS maps use a digital soil mapping framework that combines multiple sources of soil survey data with environmental covariate data and machine learning. Digital soil mapping is the production of georeferenced soil databases based on the quantitative relationships between soil measurements made in the field or laboratory and environmental data. Numerical models use the quantitative relationships to predict the spatial distribution of either discrete soil classes, such as map units, or continuous soil properties, such as clay content. SOLUS maps use continuous property mapping, which predicts soil physical or chemical properties in horizontal and vertical dimensions. The soil properties are represented across a continuous range of values. Raster datasets of select soil properties can be predicted at specified depths or depth intervals. Continuous soil property maps such as SOLUS provide critical natural resource information to support environmental researchers and modelers, conservationists, and others making land management decisions. SOLUS will be updated annually with improved data and methodology. SOLUS100The first version of SOLUS, called SOLUS100, is 100 m spatial resolution. Each 100 m raster cell represents a 100 m by 100 m square on the ground with soil property values estimated at seven depths: 0, 5, 15, 30, 60, 100, and 150 cm. The next version will be 30 m spatial resolution and called SOLUS30. SOLUS100 predicts 20 soil properties (listed below with units) at seven depths for the continental United States for a total of 512 maps.Very fine sand (%)Fine sand (%)Medium sand (%)Coarse sand (%)Very coarse sand (%)Total sand (%)Silt (%)Clay (%)pHSoil organic carbon (%)Calcium carbonate equivalent (%)Gypsum content (% by weight)Electrical conductivity (mmhos/cm)Sodium adsorption ratioCation exchange capacity (meq/100g)Effective cation exchange capacity (meq/100g)Oven dry bulk density (g/cm3)Depth to bedrock (cm)Depth to restriction (cm)Rock fragment volume (%)Property Prediction and Uncertainty LayersEach property-depth prediction is accompanied by estimates of uncertainty expressed as prediction interval low and high and relative prediction interval (RPI). Prediction interval low and high define the range within which future predictions may occur. The relative prediction interval ranges from 0 to 1 and is a relative measure of uncertainty with high values being more uncertain. It is computed as the ratio of the 95% prediction interval width to the training set 95% quantile width (97.5% quantile value – 2.5% quantile value). Values closer to 0 indicate lower uncertainty and values closer to 1 indicate higher uncertainty. Values greater than 1 indicate that the prediction at that location is outside the range of the training data used for that property at that depth. The Soil and Plant Science Division delivers each property-depth combination through Google Cloud Platform as four raster data layers: the property prediction, the prediction interval low and high, and the RPI. Property prediction and uncertainty layers follow the naming convention: propertyname_depth_cm_p (predicted property values)propertyname_depth_cm_rpi (relative prediction interval)propertyname_depth_cm_l (prediction interval low)propertyname_depth_cm_h (prediction interval high)SOLUS100 map of clay content predicted at the 0 cm depth for the continental U.S.AccessSOLUS100 maps are available for download or use within scripting or GIS software environments: SOLUS100 Cloud Storage BucketDetails on background, methodology, accuracy, uncertainty, and other results and discussion of SOLUS100 maps are available at SOLUS100 Ag Data Commons Repository and in the following publication:Nauman, T. W., Kienast-Brown, S., Roecker, S. M., Brungard, C., White, D., Philippe, J., & Thompson, J. A. (2024). Soil landscapes of the United States (SOLUS): developing predictive soil property maps of the conterminous United States using hybrid training sets. Soil Science Society of America Journal, 1–20. https://doi.org/10.1002/saj2.20769Data CitationsSoil Survey Staff. Soil Landscapes of the United States. United States Department of Agriculture, Natural Resources Conservation Service. Available online at storage.googleapis.com/solus100pub/index.html. Month, day, year accessed (year of official release).Citation ExampleThe following example is for the 2024 SOLUS maps. Such citations should appear in the reference section of your document.Soil Survey Staff. Soil Landscapes of the United States. United States Department of Agriculture, Natural Resources Conservation Service. Available online at storage.googleapis.com/solus100pub/index.html. May 22, 2024 (2024 official release).

Statistics illustrates the net export volume of Fabrics; knitted or crocheted fabrics of a width exceeding 30 cm, other than those of heading 60.01, containing by weight 5% or more of elastomeric yarn or rubber thread in Northern America from 2007 to 2024 by trade partner.

Bottom-landing and floating platforms with instrumentation to measure currents, waves, water level, optical turbidity, water temperature, and conductivity were deployed at four locations in Bellingham Bay, Washington, USA. Platforms were deployed in three separate periods: July 30, 2019–November 14, 2019, November 19, 2019–February 5, 2020, and January 22, 2021–April 13, 2021. These data were collected to support studies of sediment delivery, transport, deposition, and resuspension in this Pacific Northwest estuarine embayment.

This dataset contains carbonate system data collected by scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center to investigate the effects of carbon cycling, coastal and ocean acidification at Crocker Reef located along the Florida Keys Reef Tract, in Southeast Florida, USA. These data were collected using an autonomous instrument called the Ocean Carbon System version 1 (OCSv1) deployed on the seafloor at Crocker Reef. The OCSv1 consists of five sensors integrated into a Sea-Bird Scientific STOR-X submersible data logger including a Seabird SeapHOx sensor for measurement of pH; a Sea-Bird 16 Plus CTD Recorder for measurement of conductivity (for calculation of salinity), temperature, and depth an Aanderaa oxygen optode for measurement of dissolved oxygen; a Pro-Oceanus CO2-Pro for measurement of CO2; and a Wetlabs Eco-PAR sensor for measurement of photosynthetically active radiation. The dataset is a time series of carbonate system para ...

This data release documents streambed sediment thickness in the Neversink watershed (NY) as determined by field observations and HVSR passive seismic measurements, and were collected as an extension of a previous data set collected in the same watershed (see Associated Items). These measurements were made between May 17, 2021 and May 21, 2021 using MOHO Tromino three-component seismometers (MOHO, S.R.L.). Seismic observations were converted to sediment thickness (depth to bedrock, meters) using the horizontal-to-vertical spectral ratio (HVSR) method. Resonance frequencies were determined from time domain data using GRILLA (MOHO, S.R.L.) software and converted to inferred depth to bedrock for a range of possible values for sediment shear wave velocity, as determined from field observations, ground truthing, and previous studies in similar sediment types.

Forecast: Import of Cigarette Paper Except in Rolls of a Width Not Exceeding 5 cm to the US 2022 - 2026 Discover more data with ReportLinker!

This study seeks to understand the ecological and sociocultural changes impacting small Aleutian subsistence communities, how community residents are adapting their perceptions and practices to these changes, and how the communities themselves and institutions can better assess and improve personal and community viability with knowledge of these adaptations. This ethnographic research project in the communities of Akutan, Nikolski and Atka will: 1) document and compare resident’s perceptions, values and use of the local environment and compare observations with instrumented measurements of climate and resource abundance, 2) document current subsistence harvesting and processing practices, 3) determine the most important ecological, economic, and socio-cultural factors associated with observed changes in the use and relationship people have with the environment, 4) analyze the role of institutions in the observed changes in resource availability and environment change, perceived value, and use of subsistence resources, and 5) develop a model which illustrates the interrelations between subsistence use, resource availability, climactic and environmental change, socio-cultural and economic change, and institutional action. Drawing on the long-term research experience that the Principle Investigators have in rural Alaska communities, this project will allow for the opportunity to explore how residents perceive, experience and value their environment and how they have adapted these aspects as well as their subsistence practices to account for environmental change. This mixed-methods study combines semi-structured, in-depth interviews, detailed current and historical mapping of subsistence use areas, participant observation of subsistence practices, a review of literature, and collection and post-processing of relevant instrument data for the scope of this project. The results of the study will lend insight into how residents of small rural communities in the Aleutians interact with their changing environment, as well as how other communities may be experiencing and adapting to changing environments across the state.

Graph and download economic data for Producer Price Index by Commodity: Miscellaneous Products: Manufactured Homes (Mobile Homes), All Width Sizes (Including Multisection) (WPU15530301) from Jul 1991 to Sep 2024 about miscellaneous, commodities, housing, manufacturing, PPI, inflation, price index, indexes, price, and USA.