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 missing in this dataset; waterbodies are masked out and not included in the analysis with the development and 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).

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.

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.

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).

United States Exports: Synthetic Strip Width Not ≫ 5Mm data was reported at 0.983 USD mn in Jan 2025. This records a decrease from the previous number of 1.227 USD mn for Dec 2024. United States Exports: Synthetic Strip Width Not ≫ 5Mm data is updated monthly, averaging 2.259 USD mn from Jan 2002 (Median) to Jan 2025, with 277 observations. The data reached an all-time high of 6.539 USD mn in Oct 2017 and a record low of 0.935 USD mn in May 2005. United States Exports: Synthetic Strip Width Not ≫ 5Mm 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.JA025: Exports: by Commodity: 6 Digit HS Code: HS 52 to 71.

Residential Street Width and Value

Insight into US County Land Values and Subdivision Regulations

By [source]

About this dataset

This dataset serves as a comprehensive view into land value distributions and development regulations of residential street widths in some of the largest counties in the United States. Drawing from OpenStreetMap and county tax assessor parcel data, it provides an intricate look at the correlation between property values and streetscape configurations across 20 major cities. This information is crucial for policy makers, urban planners, developers, and homeowners alike for understanding how street design can positively affect land values - manifesting in well-planned subdivisions and healthier neighborhoods. With detailed insight into these elements available for inspection through this dataset, informed decisions can be made that can dramatically improve communities throughout America

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How to use the dataset

• Subdivision Name: This column shows the name of the subdivision that houses each street included in the dataset. Use this information to identify which streets are located in a specific suburb or area.
• Street Name: This is the official street name as it appears on OpenStreetMap records, providing information about all residential streets included in this dataset.
• Parcel Side length: This is length (in feet) of one side of each parcel associated with a specific street from OpenStreetMap records. Note that multi-parcel lots will have multiple entries for each parcel side length and should be analyzed separately for accuracy when using this representation of land availability for each residence along a video row order within a subdivision..
• Land Value Rating: A rating out of 5 stars representing the total Monetary Value, as determined by tax assessments, for all parcels within a subdivision, including those not included on OpenStreetMap records due to non-residential uses or development restrictions (ROW). Values may vary based on urban/suburban location and year assessed (if later than 2019), so consider applying these ratings with research into other datasets such as Zillow home values over time to see if there are changes in Urban Renewal projects or appreciations over time across different locations studied here.. 5 Number Of Parcels Per Street: The number of individual parcels associated with each record selected from OpenStreetMap records within this dataset, giving an indication of how much space is available per house/lot within that particular area..
  6 Right Of Way Widths: Representing width (in feet) along certain roads given to public access through city ordinances, such Right-Of-Ways extending beyond any single existing lot line up to sometimes hundreds and thousands feet into urban or residential areas serving communities' need like ambulance access etc…

Research Ideas

• Utilizing this dataset, municipalities can better understand development trends across their jurisdictions and inform smart growth initiatives.
• Municipalities may benefit from analyzing the relationship between street width and land value to proactively adjust regulations to encourage further investment in their communities.
• Local homeowners could use this data set to compare the amount of street right-of-way being dedicated in different residential areas to obtain insight into potential value of real estate investments in a particular area

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: data_dictionary.csv

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit .

Statistics illustrates consumption, production, prices, and trade of Steel, stainless; flat-rolled, width less than 600mm, nes in heading no 7220 in the United States from 2007 to 2024.

United States Imports: Photo Film n.e.s.o.i., Width Not Over 16Mm , Sensiitized data was reported at 0.003 USD mn in Aug 2014. This records a decrease from the previous number of 0.012 USD mn for Apr 2014. United States Imports: Photo Film n.e.s.o.i., Width Not Over 16Mm , Sensiitized data is updated monthly, averaging 0.016 USD mn from Jan 2002 (Median) to Aug 2014, with 88 observations. The data reached an all-time high of 0.124 USD mn in Apr 2003 and a record low of 0.002 USD mn in Mar 2003. United States Imports: Photo Film n.e.s.o.i., Width Not Over 16Mm , Sensiitized 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.JA132: Imports: by Commodity: 6 Digit HS Code: HS 30 to 48.

United States Imports: cif: Synthetic Strip Width Not ≫ 5Mm data was reported at 9.935 USD mn in Jan 2025. This records a decrease from the previous number of 10.332 USD mn for Dec 2024. United States Imports: cif: Synthetic Strip Width Not ≫ 5Mm data is updated monthly, averaging 6.873 USD mn from Jan 2002 (Median) to Jan 2025, with 277 observations. The data reached an all-time high of 23.806 USD mn in Aug 2022 and a record low of 1.242 USD mn in Mar 2002. United States Imports: cif: Synthetic Strip Width Not ≫ 5Mm 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.JA133: Imports: by Commodity: 6 Digit HS Code: HS 49 to 65.

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 82,000 U.S. dollars, up from 81,000 U.S. dollars the year before.

Statistics illustrates consumption, production, prices, and trade of Steel, stainless; flat-rolled, width 600mm or more, hot-rolled, in coils, of a thickness of 4.75mm or more but not exceeding 10mm in the United States from 2007 to 2024.

United States Exports: Unrecorded Magnetic Tape =≪ 4 Mm Width data was reported at 2.424 USD mn in Dec 2006. This records an increase from the previous number of 2.406 USD mn for Nov 2006. United States Exports: Unrecorded Magnetic Tape =≪ 4 Mm Width data is updated monthly, averaging 3.074 USD mn from Jan 2002 (Median) to Dec 2006, with 60 observations. The data reached an all-time high of 6.136 USD mn in May 2004 and a record low of 1.567 USD mn in Sep 2006. United States Exports: Unrecorded Magnetic Tape =≪ 4 Mm Width 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.JA027: Exports: by Commodity: 6 Digit HS Code: HS 85 to 98.

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 (width) with a geographic location of Louisiana, 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.

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.

United States Imports: Movie Film, Developed, 35 Mm or Over in Width data was reported at 0.003 USD mn in Jan 2025. This records a decrease from the previous number of 0.007 USD mn for Dec 2024. United States Imports: Movie Film, Developed, 35 Mm or Over in Width data is updated monthly, averaging 0.571 USD mn from Jan 2002 (Median) to Jan 2025, with 260 observations. The data reached an all-time high of 35.713 USD mn in Jun 2009 and a record low of 0.002 USD mn in Jul 2021. United States Imports: Movie Film, Developed, 35 Mm or Over in Width 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.JA132: Imports: by Commodity: 6 Digit HS Code: HS 30 to 48.

Data depicts mean wave power density within U.S. waters. Estimates represent naturally available U.S. wave energy, derived from measurements observed during a 51-month study period. Measurements were taken from 42,000 grid points out to a distance of 50 nautical miles from shore. Values represent the average instantaneous power generated by a meter length of wave crest per grid point. In accordance with accepted global practice, wave power density is measured in kilowatts per meter (kW/m) of wave crest aggregated across a unit diameter circle. These data were classified using quantiles.

© DOE National Renewable Energy Laboratory This layer is a component of Ocean Wave Resource Potential.

Mean wave power density estimates represent naturally available US wave energy, derived from measurements observed during a 51-month study period. Measurements were taken from 42,000 grid points out to a distance of 50 nautical miles from shore. Values represent the average instantaneous power generated by a meter length of wave crest per grid point. In accordance with accepted global practice, wave power density is measured in kilowatts per meter of wave crest aggregated across a unit diameter circle. Data were classified using quantiles. Bathymetric effects are known to have a large effect on wave characteristics at depths shallower than ~20m on the east coast and ~50m on the west coast. Reliable site-specific information in shallow waters can only be produced using results from models with higher spatial resolution that include shallow-water physics. Results may not be accurate in the shallower waters of the inner continental shelf. These areas are indicated by dark gray regions. For more information pertaining to these areas please refer back to the source.

© MarineCadastre.gov

United States Imports: cif: Cigarette Paper in Rolls of a Width Not Over 5 Cm data was reported at 3.750 USD mn in Jan 2025. This records an increase from the previous number of 3.497 USD mn for Dec 2024. United States Imports: cif: Cigarette Paper in Rolls of a Width Not Over 5 Cm data is updated monthly, averaging 3.420 USD mn from Jan 2002 (Median) to Jan 2025, with 277 observations. The data reached an all-time high of 6.555 USD mn in May 2022 and a record low of 0.784 USD mn in Jun 2002. United States Imports: cif: Cigarette Paper in Rolls of a Width Not Over 5 Cm 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.JA132: Imports: by Commodity: 6 Digit HS Code: HS 30 to 48.

United States Exports: Magnetic Tape Unrecord Width ≫ 4 Not Over 6.5 Mm data was reported at 8.566 USD mn in Dec 2006. This records an increase from the previous number of 3.971 USD mn for Nov 2006. United States Exports: Magnetic Tape Unrecord Width ≫ 4 Not Over 6.5 Mm data is updated monthly, averaging 6.537 USD mn from Jan 2002 (Median) to Dec 2006, with 60 observations. The data reached an all-time high of 11.350 USD mn in Mar 2002 and a record low of 3.800 USD mn in Sep 2006. United States Exports: Magnetic Tape Unrecord Width ≫ 4 Not Over 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.JA027: Exports: by Commodity: 6 Digit HS Code: HS 85 to 98.

United States Imports: Photo Film, Width Exceeding 35Mm, n.e.s.o.i. data was reported at 0.679 USD mn in Jan 2025. This records an increase from the previous number of 0.408 USD mn for Dec 2024. United States Imports: Photo Film, Width Exceeding 35Mm, n.e.s.o.i. data is updated monthly, averaging 0.109 USD mn from Feb 2015 (Median) to Jan 2025, with 116 observations. The data reached an all-time high of 1.042 USD mn in Sep 2024 and a record low of 0.003 USD mn in Dec 2022. United States Imports: Photo Film, Width Exceeding 35Mm, n.e.s.o.i. 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.JA132: Imports: by Commodity: 6 Digit HS Code: HS 30 to 48.

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).