100+ datasets found
  1. ASCE Snow Vector

    • noaa.hub.arcgis.com
    Updated Aug 6, 2025
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    NOAA GeoPlatform (2025). ASCE Snow Vector [Dataset]. https://noaa.hub.arcgis.com/maps/2a3a066f8293413d9d45dab4293920d1
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    Dataset updated
    Aug 6, 2025
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    Description:This polygon feature layer represents ground snow load values (in pounds per square foot, psf) across the United States, derived from the ASCE 7-22 Hazard Tool, hosted by the American Society of Civil Engineers (ASCE). The data originates from the ASCE 7-22 Standard, which provides updated environmental hazard data used in structural design and engineering. This feature layer is also part of the ASCE Hazard Tool Recreation in Experience Builder.Each polygon represents a zone with a consistent ground snow load value, based on probabilistic analysis and climate data curated for ASCE 7-22. These values are intended for use in structural engineering applications where accurate snow load determination is necessary for code-compliant building design.Data Source:The underlying data is sourced from the ASCE 7-22 Hazard Tool and accessed via the ASCE ArcGIS REST Service:https://gis.asce.org/arcgis/rest/services/ASCE722Units:All snow load values are given in pounds per square foot (psf).Usage Notes:This dataset is for informational and planning purposes only. Users should refer to the official ASCE 7-22 documentation or consult a licensed engineer for code-compliant design decisions. In certain complex terrain or microclimate areas, site-specific analysis may still be required.Credits:American Society of Civil Engineers (ASCE)

  2. e

    asce.org Traffic Analytics Data

    • analytics.explodingtopics.com
    Updated Sep 1, 2025
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    (2025). asce.org Traffic Analytics Data [Dataset]. https://analytics.explodingtopics.com/website/asce.org
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    Dataset updated
    Sep 1, 2025
    Variables measured
    Global Rank, Monthly Visits, Authority Score, US Country Rank, Civil Engineering Category Rank
    Description

    Traffic analytics, rankings, and competitive metrics for asce.org as of September 2025

  3. H

    Replication Data for: Review of Core Competencies for CPM (ASCE 1988-2019)...

    • dataverse.harvard.edu
    • search.datacite.org
    Updated Oct 12, 2020
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    Fatemeh Pariafsai (2020). Replication Data for: Review of Core Competencies for CPM (ASCE 1988-2019) October 2020 [Dataset]. http://doi.org/10.7910/DVN/UTDWRZ
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 12, 2020
    Dataset provided by
    Harvard Dataverse
    Authors
    Fatemeh Pariafsai
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This technical report aims to provide detailed information on the results of Stage I of the methodology used to find references that are potentially relevant to the topic “Core Competencies for Construction Project Management.” In Stage I, potentially relevant references were searched using the American Society of Civil Engineers (ASCE) Library. In the ASCE Library, “advanced search” was used to find applicable references via specific search terms, topics and publication dates. For topics, the term “construction” was used. The option “title” was checked to specify where to look for search terms. The search terms used included competencies, competence, skill, capability, knowledge, project manager, project management, construction management, and engineering management. For more representative results, the search was restricted to references inclusively published from 1988 to 2019. When more than one chapter of a book was found, instead of counting all the chapters found, the book was counted as one single reference. In such cases, the book title might exclude all the search terms used. If the same reference was found under different search terms, it was numbered only one time when counting the total number of references initially found. This process resulted in 2,102 references retrieved from the ASCE Library (Table 1 to Table 16). In the following Tables, “Selected: Yes” indicates that the initially-retrieved reference was ultimately selected for content analysis, and “Selected: No” means that the reference was not selected for content analysis.

  4. d

    Ground Motion Database for Performance Assessment of Structures in Downtown...

    • search.dataone.org
    • borealisdata.ca
    • +1more
    Updated Dec 28, 2023
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    Mortazavi, Pedram; Kwon, Oh-Sung; Christopoulos, Constantin (2023). Ground Motion Database for Performance Assessment of Structures in Downtown Los Angeles [Dataset]. http://doi.org/10.5683/SP3/UZPUAZ
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Mortazavi, Pedram; Kwon, Oh-Sung; Christopoulos, Constantin
    Description

    This dataverse includes the ground motion database selected and scaled to be representative of downtown LA. These ground motions were originally selected and scaled in the study "Seismic Performance Assessment of Steel EBFs with Conventional and Replaceable Yielding Links Designed with ASCE 7-16" to be published in the ASCE Journal of Structural Engineering. The database includes 40 ground motions with scale factors at the MCE and DBE level hazards. The ground motions are selected and scaled to match the target UHS of ASCE 7-16 over long range of periods within the 0.13s – 5.0s, with limited dispersion. As such, they can be used for performance assessments of different structures with different period ranges. When used please refer to the original publications: 1. Mortazavi, P., Kwon, O., Christopoulos. C (2024). Seismic Performance Assessment of Steel EBFs with Conventional and Replaceable Yielding Links Designed with ASCE 7-16, ASCE Journal of Structural Engineering. DOI: 10.1061/JSENDH/STENG-13093 2. Mortazavi, P. (2023). Large-Scale Experimental Validation and Design of Resilient EBFs with Cast Steel Replaceable Modular Yielding Links, PhD Dissertation, University of Toronto.

  5. d

    Data from: Gridded earthquake ground motions for the 2023 ASCE/SEI 41...

    • catalog.data.gov
    • data.usgs.gov
    Updated Sep 13, 2025
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    U.S. Geological Survey (2025). Gridded earthquake ground motions for the 2023 ASCE/SEI 41 Standard outside of the conterminous United States [Dataset]. https://catalog.data.gov/dataset/gridded-earthquake-ground-motions-for-the-2023-asce-sei-41-standard-outside-of-the-conterm
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    Dataset updated
    Sep 13, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Contiguous United States, United States
    Description

    For evaluating and retrofitting existing buildings to resist earthquakes, the 2023 ASCE/SEI 41 Standard provides Basic Safety Earthquake spectral response accelerations at four levels (BSE-1N, BSE-2N, BSE-1E, and BSE-2E). This data release covers BSE-1E and BSE-2E spectral response accelerations for sites outside of the conterminous United States. For sites in the conterminous U.S., BSE-1E and BSE-2E values are provided via the USGS National Seismic Hazard Model Static Hazard Curve Services. BSE-1N and BSE-2N values for all sites are provided via the ASCE 7-22 data release.

  6. d

    Videos to Make Results more Reproducible: ASCE Journal of Water Resources...

    • search.dataone.org
    • hydroshare.org
    • +1more
    Updated Dec 30, 2023
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    David E Rosenberg; Jim Stagge; Amber Spackman Jones; Adel Abdallah; Anthony M. Castronova; Dana Compton (2023). Videos to Make Results more Reproducible: ASCE Journal of Water Resources Planning and Management [Dataset]. https://search.dataone.org/view/sha256%3A0e506be1602f40ec5fcb4596c9ac76d4e2bfed90fcaacbe7407693ab1603dc1e
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    Dataset updated
    Dec 30, 2023
    Dataset provided by
    Hydroshare
    Authors
    David E Rosenberg; Jim Stagge; Amber Spackman Jones; Adel Abdallah; Anthony M. Castronova; Dana Compton
    Description

    This collection shares pre-prints of videos with tips, how-to, lessons, and other content to help researchers make their results more reproducible. Authors create a new Hydroshare resource that includes meta data and the video file. Authors request the Collection Owners add their resource to this collection. Then authors submit a short brief in the Editorial Manager system of the American Society of Civil Engineers (ASCE) Journal of Water Resources Planning and Management (https://ascelibrary.org/journal/jwrmd5) for publication. The brief includes a one-sentence citation to the Hydroshare resource containing the video content. The video undergoes a peer-review process. On acceptance, ASCE Publishing will attach branding to the video. The content will receive a digital object identifier (DOI) and be published in the Journal -- same as regular articles, case studies, etc. ASCE will also push videos out on their video and social media feeds.

    The intent of collection of videos and the review process is to make peer-reviewed videos findable, accessible, interoperable, and repeatable (FAIR). This process also provides authors of reproducibility content an incentive to create and share new videos and content -- a peer-reviewed publication in the Journal of Water Resources Planning and Management.

  7. ASCE Survey Data on Water Managers Raw Data

    • figshare.com
    xls
    Updated Jan 20, 2016
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    Faisal Hossain (2016). ASCE Survey Data on Water Managers Raw Data [Dataset]. http://doi.org/10.6084/m9.figshare.1573006.v2
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    xlsAvailable download formats
    Dataset updated
    Jan 20, 2016
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Faisal Hossain
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ASCE Task Committee Survey Data on Water Managers (Raw unedited data)

  8. a

    ASCE Seismic Arc Version

    • noaa.hub.arcgis.com
    Updated Jun 12, 2025
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    NOAA GeoPlatform (2025). ASCE Seismic Arc Version [Dataset]. https://noaa.hub.arcgis.com/maps/040ed301aaa14f33b4ba45dc7f5dd4b2
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    Dataset updated
    Jun 12, 2025
    Dataset authored and provided by
    NOAA GeoPlatform
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    This map layer is part of the ASCE Hazard Tool Recreation built with ArcGIS Experience Builder, found here, and shows areas in the U.S. that are more likely to experience strong ground shaking during an earthquake. It’s based on data from the U.S. Geological Survey (USGS) and displays what"s called "Peak Ground Acceleration" (PGA), which is a measure of how hard the ground might shake. The values are shown using colors to represent different levels of earthquake risk — the higher the number, the stronger the expected shaking. Engineers and planners use this information to help design buildings and infrastructure that can better withstand earthquakes.Some types of earthquake data, like vertical ground shaking (up and down motion), are not yet available from the USGS. If certain advanced shaking values aren’t listed in the database, engineers are allowed to use alternative methods outlined in the ASCE 7-22 building standards. This map is built using official USGS seismic design maps and helps support safe and resilient construction across the country. The original ASCE Hazard Tool can be found here.

  9. T

    Replication Data for: Review of Classification of Key Competencies for CPM...

    • dataverse.tdl.org
    pdf
    Updated Oct 18, 2020
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    Fatemeh Pariafsai; Fatemeh Pariafsai (2020). Replication Data for: Review of Classification of Key Competencies for CPM (ASCE 1988-2019) October 2020 [Dataset]. http://doi.org/10.18738/T8/KBYA5W
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    pdf(2318594)Available download formats
    Dataset updated
    Oct 18, 2020
    Dataset provided by
    Texas Data Repository
    Authors
    Fatemeh Pariafsai; Fatemeh Pariafsai
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This technical report aims to provide detailed information on the results of Stage I of the methodology used to find references that are potentially relevant to the topic “Classification of Key Competencies for Construction Project Management.” In Stage I, potentially relevant references were searched using the American Society of Civil Engineers (ASCE) Library. In the ASCE Library, “advanced search” was used to find applicable references via specific search terms, topics and publication dates. For topics, the term “construction” was used. The option “title” was checked to specify where to look for search terms. The search terms used included competencies, competence, skill, capability, knowledge, project manager, project management, construction management, and engineering management. For more representative results, the search was restricted to references inclusively published from 1988 to 2019. When more than one chapter of a book was found, instead of counting all the chapters found, the book was counted as one single reference. In such cases, the book title might exclude all the search terms used. If the same reference was found under different search terms, it was numbered only one time when counting the total number of references initially found. This process resulted in 2,102 references retrieved from the ASCE Library (Table 1 to Table 16). In the following Tables, “Selected: Yes” indicates that the initially-retrieved reference was ultimately selected for content analysis, and “Selected: No” means that the reference was not selected for content analysis.

  10. ASCE Water Manager Survey Data with Charts

    • figshare.com
    pdf
    Updated Jun 2, 2023
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    Faisal Hossain (2023). ASCE Water Manager Survey Data with Charts [Dataset]. http://doi.org/10.6084/m9.figshare.1573007.v2
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Faisal Hossain
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ASCE Water Manager Survey by Task Committee. Data from surveymonkey.com summarized in charts

  11. ASCE Tornado Vectors

    • noaa.hub.arcgis.com
    Updated Aug 6, 2025
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    NOAA GeoPlatform (2025). ASCE Tornado Vectors [Dataset]. https://noaa.hub.arcgis.com/maps/79fc8b4095074ad586af438f4974deac
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    Dataset updated
    Aug 6, 2025
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    Description:This polygon feature layer represents tornado risk zones across the United States, derived from the ASCE 7-22 Hazard Tool published by the American Society of Civil Engineers (ASCE). The data is based on the ASCE 7-22 Standard, which includes updated criteria for structural design considering tornado hazards. This feature layer is also part of the ASCE Hazard Tool Recreation in Experience Builder.The polygons define areas with differing levels of tornado intensity risk, determined through historical tornado track data and probabilistic modeling. Each zone corresponds to a specific design-level tornado wind speed (in miles per hour), which engineers use to design critical and essential facilities.Data Source:This dataset is sourced from the ASCE 7-22 Hazard Tool and is accessible via the ASCE ArcGIS REST Service:https://gis.asce.org/arcgis/rest/services/ASCE722Units:Design-level tornado wind speeds are provided in miles per hour (mph).Usage Notes:This data is intended for planning and structural design applications, particularly for essential facilities and structures requiring enhanced performance under extreme wind events. Users should refer to the official ASCE 7-22 documentation and consult with licensed engineers for code-compliant design. Local conditions may necessitate additional site-specific evaluation.Credits:American Society of Civil Engineers (ASCE)

  12. U

    Gridded earthquake ground motions for the 2023 ASCE/SEI 41 Standard

    • data.usgs.gov
    • catalog.data.gov
    + more versions
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    Zachary Kortum; Nicolas Luco; Sanaz Rezaeian, Gridded earthquake ground motions for the 2023 ASCE/SEI 41 Standard [Dataset]. http://doi.org/10.5066/P1CDQR6E
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    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Zachary Kortum; Nicolas Luco; Sanaz Rezaeian
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    Aug 3, 2023
    Description

    The multi-period BSE-1E and BSE-2E response spectra for the 2023 ASCE 41 Standard are derived from the downloadable data files. For each site class, 5% in 50 year uniform hazard spectral accelerations and 20% in 50 year uniform hazard spectral accelerations are provided for 22 spectral periods.

  13. e

    Easter Michael A Fort Liberty Nc Asce Lib Za Export Import Data | Eximpedia

    • eximpedia.app
    Updated Sep 17, 2025
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    (2025). Easter Michael A Fort Liberty Nc Asce Lib Za Export Import Data | Eximpedia [Dataset]. https://www.eximpedia.app/companies/easter-michael-a-fort-liberty-nc-asce-lib-za/77381002
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    Dataset updated
    Sep 17, 2025
    Area covered
    North Carolina
    Description

    Easter Michael A Fort Liberty Nc Asce Lib Za Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

  14. e

    Corona Marco A Fort Liberty Nc Asce Lib Za Export Import Data | Eximpedia

    • eximpedia.app
    Updated Sep 10, 2025
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    (2025). Corona Marco A Fort Liberty Nc Asce Lib Za Export Import Data | Eximpedia [Dataset]. https://www.eximpedia.app/companies/corona-marco-a-fort-liberty-nc-asce-lib-za/40798073
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    Dataset updated
    Sep 10, 2025
    Area covered
    North Carolina
    Description

    Corona Marco A Fort Liberty Nc Asce Lib Za Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

  15. Idaho Youth Challenge Academy in Pierce, Idaho AgriMet Weather Station...

    • data.usbr.gov
    Updated Oct 29, 2025
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    United States Bureau of Reclamation (2025). Idaho Youth Challenge Academy in Pierce, Idaho AgriMet Weather Station (IYCI) Daily Calculated Evapotranspiration (ASCE Alfalfa Reference) Time Series Data [Dataset]. https://data.usbr.gov/catalog/8298/item/131184
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    Dataset updated
    Oct 29, 2025
    Dataset authored and provided by
    United States Bureau of Reclamationhttp://www.usbr.gov/
    Time period covered
    May 5, 2019 - May 14, 2019
    Area covered
    Variables measured
    Evapotranspiration (ASCE Alfalfa Reference)
    Description

    Idaho Youth Challenge Academy in Pierce, Idaho AgriMet Weather Station (IYCI) total daily evapotranspiration in inches (in) using the American Society of Civil Engineers (ASCE) Alfalfa Reference (https://doi.org/10.1061/9780784408056). This value is calculated using three daily summary values: wind, dew point, and solar radiation. Additional values are also included in the calculation.

  16. Roberts, Idaho Cooperative AgriMet Weather Station - Idaho National...

    • data.usbr.gov
    Updated Oct 28, 2025
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    United States Bureau of Reclamation (2025). Roberts, Idaho Cooperative AgriMet Weather Station - Idaho National Laboratory (INL) (ROBI) Daily Calculated Evapotranspiration (ASCE Grass Reference) Time Series Data [Dataset]. https://data.usbr.gov/catalog/8414/item/132763
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    Dataset updated
    Oct 28, 2025
    Dataset authored and provided by
    United States Bureau of Reclamationhttp://www.usbr.gov/
    Time period covered
    Feb 14, 2015 - Mar 12, 2015
    Area covered
    Variables measured
    Evapotranspiration (ASCE Grass Reference)
    Description

    Roberts, Idaho Cooperative AgriMet Weather Station - Idaho National Laboratory (INL) (ROBI) total daily evapotranspiration in inches (in) using the American Society of Civil Engineers (ASCE) Grass Reference (https://doi.org/10.1061/9780784408056). This value is calculated using three daily summary values: wind, dew point, and solar radiation. Additional values are also included in the calculation.

  17. d

    Data from: Maps of earthquake ground motions for the 2009 NEHRP Recommended...

    • catalog.data.gov
    Updated Oct 8, 2025
    + more versions
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    U.S. Geological Survey (2025). Maps of earthquake ground motions for the 2009 NEHRP Recommended Seismic Provisions and the 2010 ASCE/SEI 7 Standard [Dataset]. https://catalog.data.gov/dataset/maps-of-earthquake-ground-motions-for-the-2009-nehrp-recommended-seismic-provisions-and-th
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    Dataset updated
    Oct 8, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    For designing buildings and other structures to safely resist earthquakes, the 2009 NEHRP Recommended Seismic Provisions and the 2010 ASCE/SEI 7 Standard contain maps of Uniform Hazard response accelerations, risk coefficients, 84th-percentile spectral accelerations, and Risk-Targeted Maximum Considered Earthquake (MCER) spectral response accelerations, all at spectral periods of 0.2-second and 1.0-second. The spectral accelerations are for the direction of maximum horizontal response and a site shear wave velocity (VS30) of 760 m/s, in units of the percent g, the acceleration of gravity. For more information, see Chapters 11, 21, and 22 of the 2009 NEHRP Recommended Seismic Provisions and the 2010 ASCE/SEI 7 Standard.

  18. e

    Asce Group Ojsc Export Import Data | Eximpedia

    • eximpedia.app
    Updated Oct 17, 2025
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    (2025). Asce Group Ojsc Export Import Data | Eximpedia [Dataset]. https://www.eximpedia.app/companies/asce-group-ojsc/96722740
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    Dataset updated
    Oct 17, 2025
    Description

    Asce Group Ojsc Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

  19. d

    Hydrologic Information Systems. Enabling the Free Flow of Water Data

    • search.dataone.org
    • hydroshare.org
    • +1more
    Updated Dec 5, 2021
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    David Tarboton; Jeffery S. Horsburgh; HydroShare Developers (2021). Hydrologic Information Systems. Enabling the Free Flow of Water Data [Dataset]. https://search.dataone.org/view/sha256%3A81c9a0214e6596c3b85c0ae46079f0fa1ba73c8696eddecaac3fddda32d5928c
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    Dataset updated
    Dec 5, 2021
    Dataset provided by
    Hydroshare
    Authors
    David Tarboton; Jeffery S. Horsburgh; HydroShare Developers
    Description

    Presentation about HydroShare to the American Society of Civil Engineers (ASCE) Northern Utah branch lunch 'learn webinar on November 19, 2020.

  20. e

    Graham Vanaysha Fort Liberty Nc Asce Lbtp Export Import Data | Eximpedia

    • eximpedia.app
    Updated Feb 6, 2025
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    (2025). Graham Vanaysha Fort Liberty Nc Asce Lbtp Export Import Data | Eximpedia [Dataset]. https://www.eximpedia.app/companies/graham-vanaysha-fort-liberty-nc-asce-lbtp/96319317
    Explore at:
    Dataset updated
    Feb 6, 2025
    Area covered
    North Carolina
    Description

    Graham Vanaysha Fort Liberty Nc Asce Lbtp Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

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NOAA GeoPlatform (2025). ASCE Snow Vector [Dataset]. https://noaa.hub.arcgis.com/maps/2a3a066f8293413d9d45dab4293920d1
Organization logo

ASCE Snow Vector

Explore at:
Dataset updated
Aug 6, 2025
Dataset provided by
National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
Authors
NOAA GeoPlatform
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

Area covered
Description

Description:This polygon feature layer represents ground snow load values (in pounds per square foot, psf) across the United States, derived from the ASCE 7-22 Hazard Tool, hosted by the American Society of Civil Engineers (ASCE). The data originates from the ASCE 7-22 Standard, which provides updated environmental hazard data used in structural design and engineering. This feature layer is also part of the ASCE Hazard Tool Recreation in Experience Builder.Each polygon represents a zone with a consistent ground snow load value, based on probabilistic analysis and climate data curated for ASCE 7-22. These values are intended for use in structural engineering applications where accurate snow load determination is necessary for code-compliant building design.Data Source:The underlying data is sourced from the ASCE 7-22 Hazard Tool and accessed via the ASCE ArcGIS REST Service:https://gis.asce.org/arcgis/rest/services/ASCE722Units:All snow load values are given in pounds per square foot (psf).Usage Notes:This dataset is for informational and planning purposes only. Users should refer to the official ASCE 7-22 documentation or consult a licensed engineer for code-compliant design decisions. In certain complex terrain or microclimate areas, site-specific analysis may still be required.Credits:American Society of Civil Engineers (ASCE)

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