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://res1wwwd-o-tepad-o-tgov.vcapture.xyz/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).
U.S. Map Data Runways represents locations, identifications, and characteristics of airport runways within the United States. A wide range of air transport and physical information about runways and airports are provided including runway name, ID, length, width, and surface material. Source of these data was the US Department of Transportation, 1995.
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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 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 background in this dataset; waterbodies are separated from the natural land cover classes and included in the analysis with the developed 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).
Soil Landscapes of the United States (SOLUS)metadataDescriptionSoil 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://acsess.onlinelibrary.wiley.com/doi/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).
The average sales price of new single-width manufactured homes in the United States has increased since 2014. In December 2022, the average sales price of a new single-width mobile home in the U.S. was ****** U.S. dollars, up from ****** U.S. dollars the year before.
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Costa Rica Exports of flat-rolled products of iron or non-alloy steel, less 600mm width to United States was US$486.66 Thousand during 2023, according to the United Nations COMTRADE database on international trade.
U.S. Government Workshttps://www.usa.gov/government-works
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This
composite file contains elementary, secondary, and unified school
district boundaries collected for the National Center for Education
Statistics by the U.S. Census Bureau.
The National Center for
Education Statistics’ (NCES) Education Demographic and Geographic
Estimate (EDGE) program develops annually updated school district
boundary composite files that include public elementary, secondary, and
unified school district boundaries clipped to the U.S. shoreline. School
districts are single-purpose administrative units designed by state and
local officials to organize and provide public education for local
residents. District boundaries are collected for NCES by the U.S. Census
Bureau to support educational research and program administration, and
the boundaries are essential for constructing district-level estimates
of the number of children in poverty.
The Census Bureau’s School District Boundary Review program (SDRP) (https://www.census.gov/programs-surveys/sdrp.html) obtains the boundaries, names, and grade ranges from state officials, and integrates these updates into Census TIGER. Census TIGER boundaries include legal maritime buffers for coastal areas by default, but the NCES composite file removes these buffers to facilitate broader use and cleaner cartographic representation. The NCES EDGE program collaborates with the U.S. Census Bureau’s Education Demographic, Geographic, and Economic Statistics (EDGE) Branch to develop the composite school district files. The inputs for this data layer were developed from Census TIGER/Line and represent the most current boundaries available. For more information about NCES school district boundary data, see https://nces.ed.gov/programs/edge/Geographic/DistrictBoundaries.
Previous collections are available for the following years:
In a survey carried out in the United States about self-perceived poor health for different health dimensions, Baby Boomers reported the worst spiritual and social health, with 32 and 23 percent of respondents indicating poor or very poor health in these dimensions, respectively.
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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.
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749 Active Global Dyed width suppliers, manufacturers list and Global Dyed width exporters directory supplying to United States compiled from actual Global export shipments of Dyed width.
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Peru Exports of flat-rolled products of iron or non-alloy steel, less 600mm width to United States was US$549 during 2020, according to the United Nations COMTRADE database on international trade. Peru Exports of flat-rolled products of iron or non-alloy steel, less 600mm width to United States - data, historical chart and statistics - was last updated on August of 2025.
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United States Imports: Magnetic Tape Unrecorded Width Exceeding 6.5 Mm data was reported at 67.062 USD mn in Dec 2006. This records an increase from the previous number of 65.641 USD mn for Nov 2006. United States Imports: Magnetic Tape Unrecorded Width Exceeding 6.5 Mm data is updated monthly, averaging 71.063 USD mn from Jan 2002 (Median) to Dec 2006, with 60 observations. The data reached an all-time high of 89.831 USD mn in Nov 2002 and a record low of 57.143 USD mn in Feb 2006. United States Imports: Magnetic Tape Unrecorded Width Exceeding 6.5 Mm data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.JA136: Imports: by Commodity: 6 Digit HS Code: HS 85 to 99.
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Nicaragua Exports of flat-rolled products of iron or non-alloy steel, less 600mm width to United States was US$90 during 2013, according to the United Nations COMTRADE database on international trade.
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Ireland Exports of flat-rolled products of iron or non-alloy steel, less 600mm width to United States was US$301 during 2024, according to the United Nations COMTRADE database on international trade. Ireland Exports of flat-rolled products of iron or non-alloy steel, less 600mm width to United States - data, historical chart and statistics - was last updated on July of 2025.
Beach Width Monitoring Bolsa Chica State Beach-Huntington Beach region 5 records the monthly beach width of Bolsa Chica State Beach and Huntington Beach in order to document any trends of erosion that may be caused by the Bolsa Chica Ecological Reserve Inlet. The entire width of the beach is measured monthly at 10 chosen locations on both sides of BCER inlet at a high tide of 5 ft. ,or as close to 5 ft. as possible, using a stake in the ground and a 100m measuring tape. Along with the width of the beach the exact time and tide height at the collection time is also recorded. This data and metadata were submitted by California Department of Fish and Wildlife (CDFW) Staff though the Data Management Plan (DMP) framework with the id: DMP000414. For more information, please visit https://wildlife.ca.gov/Data/Sci-Data.
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Cyprus Exports of flat-rolled products of iron or non-alloy steel, less 600mm width to United States was US$313 during 2013, according to the United Nations COMTRADE database on international trade. Cyprus Exports of flat-rolled products of iron or non-alloy steel, less 600mm width to United States - data, historical chart and statistics - was last updated on August of 2025.
VS30, the time-averaged shear-wave velocity (VS) to a depth of 30 meters, is a key index adopted by the earthquake engineering community to account for seismic site conditions. VS30 is typically based on geophysical measurements of VS derived from invasive and noninvasive techniques at sites of interest. Owing to cost considerations, as well as logistical and environmental concerns, VS30 data are sparse or not readily available for most areas. Where data are available, VS30 values are often assembled in assorted formats that are accessible from disparate and (or) impermanent Websites. To help remedy this situation, we compiled VS30 measurements obtained by studies funded by the U.S. Geological Survey (USGS) and other governmental agencies. Thus far, we have compiled VS30 values for 4,369 sites in the United States, along with metadata for each measurement from government-sponsored reports, online databases, and scientific and engineering journals. Most of the data in our VS30 compilation originated from publications directly reporting the work of field investigators. A subset consisting of 20 percent of VS30 values was previously compiled by the USGS and other research institutions. VS30 originating from these earlier compilations were crosschecked against published reports when clarification was needed. Both downhole and surface-based VS30 estimates are represented in our VS30 compilation. Most of the VS30 data are for sites in the western contiguous United States (3,128 sites); 682 VS30 values are for sites in the Central United States; 267 VS30 values are for sites in the Eastern United States and Puerto Rico; 15 VS30 values are for sites in Alaska; 30 VS30 values are for sites in Hawaii. The remaining 247 sites are in the vicinity of Vancouver, Canada.
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Dominican Republic Exports of flat-rolled products of iron or non-alloy steel, less 600mm width to United States was US$4 during 2023, according to the United Nations COMTRADE database on international trade.
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Guatemala Exports of flat-rolled products of iron or non-alloy steel, less 600mm width to United States was US$852 during 2024, according to the United Nations COMTRADE database on international trade.
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://res1wwwd-o-tepad-o-tgov.vcapture.xyz/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).