100+ datasets found
  1. c

    Elevation Benchmarks

    • s.cnmilf.com
    • chicago.gov
    • +3more
    Updated Dec 2, 2023
    + more versions
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    data.cityofchicago.org (2023). Elevation Benchmarks [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/elevation-benchmarks
    Explore at:
    Dataset updated
    Dec 2, 2023
    Dataset provided by
    data.cityofchicago.org
    Description

    The following dataset includes "Active Benchmarks," which are provided to facilitate the identification of City-managed standard benchmarks. Standard benchmarks are for public and private use in establishing a point in space. Note: The benchmarks are referenced to the Chicago City Datum = 0.00, (CCD = 579.88 feet above mean tide New York). The City of Chicago Department of Water Management’s (DWM) Topographic Benchmark is the source of the benchmark information contained in this online database. The information contained in the index card system was compiled by scanning the original cards, then transcribing some of this information to prepare a table and map. Over time, the DWM will contract services to field verify the data and update the index card system and this online database.This dataset was last updated September 2011. Coordinates are estimated. To view map, go to https://data.cityofchicago.org/Buildings/Elevation-Benchmarks-Map/kmt9-pg57 or for PDF map, go to http://cityofchicago.org/content/dam/city/depts/water/supp_info/Benchmarks/BMMap.pdf. Please read the Terms of Use: http://www.cityofchicago.org/city/en/narr/foia/data_disclaimer.html.

  2. c

    Survey Benchmarks

    • data.cityofsacramento.org
    • data.sacog.org
    • +1more
    Updated Apr 3, 2017
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    City of Sacramento (2017). Survey Benchmarks [Dataset]. https://data.cityofsacramento.org/datasets/survey-benchmarks
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    Dataset updated
    Apr 3, 2017
    Dataset authored and provided by
    City of Sacramento
    Area covered
    Description

    The Datum of the majority of the City of Sacramento benchmarks is the National Geodetic Vertical Datum of 1929 (NGVD 29) and was based upon a plane datum with reference to four U.S. Government monuments. Some North American Vertical Datum 1988 (NAVD 88) differential baselines have been conducted and the elevations of those benchmarks have been included and identified in this database.VERTICAL CONTROL DISCLAIMER AND GENERAL USE DISCLAIMER City of Sacramento Vertical Control Network, also known as “City of Sacramento Datum” information, is furnished by the Department of Public Works - Engineering Services. It was developed and collected for the purpose of establishing reference points for all survey activities within Sacramento City limits. City of Sacramento makes no warranties, expressed or implied, concerning the accuracy, completeness, reliability, or suitability of this data for any other particular use. Furthermore, the City of Sacramento assumes not liability for any errors, omissions, or inaccuracies associated with the use or misuse of such data. The City of Sacramento tries to keep this information current and accurate.If you find a missing or destroyed City of Sacramento benchmark please contact the City Land Surveyor by calling (916) 808-8777.

    ACCEPTABLE USE The City of Sacramento Datum (unadjusted NGVD29) local benchmarks provided here are acceptable as City of Sacramento benchmarks for the purpose of establishing and extending vertical control to design surveys. Reference Sacramento City Code, §1.12.010.All information compiled on this website is provided as a public service and for general informational purposes only. In preparation of these pages, every effort has been made by the Department of Public Works - Engineering Services to offer the most current, correct and concise information possible. The City of Sacramento and its authorized agents and contractors disclaim any responsibility for typographical errors and accuracy of the information that may be contained on the City of Sacramento website; www.cityofsacramento.orgBy accessing the information, data, materials and links contained in the City of Sacramento World Wide Web pages, you hereby agree to and accept the following terms and conditions: The Department of Public Works - Engineering Services shall not be liable for the improper or incorrect use of data, information, materials, links or related graphics described and /or contained herein. The Department of Public Works - Engineering Services shall not be liable for any demand claim, regardless of form or action, arising out of or incident to the posting of information or data on this website; the accessing or use of any information or data on this website; and/or the acts or omissions of any person or entity accessing or using any information from this website.The user hereby recognizes that the information, data, materials and related graphics are dynamic and may change over time without notice. The Department of Public Works - Engineering Services is not responsible for the use or reliance upon this information. There are links and pointers to third party internet websites contained in the City of Sacramento website. These sites linked from the City of Sacramento website are not under the City’s control. The City of Sacramento and its authorized agents and contractors do not assume any responsibility or liability for any information, communications or materials available at such linked sites, or at any link contained in a liked site. Each individual site has its own set of policies about what information is appropriate for public access. User assumes sole responsibility for use of third party links and pointers.

  3. NIST Computational Chemistry Comparison and Benchmark Database - SRD 101

    • catalog.data.gov
    • data.amerigeoss.org
    • +1more
    Updated Jul 9, 2025
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    NIST Computational Chemistry Comparison and Benchmark Database - SRD 101 [Dataset]. https://catalog.data.gov/dataset/nist-computational-chemistry-comparison-and-benchmark-database-srd-101-e19c1
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    Dataset updated
    Jul 9, 2025
    Dataset provided by
    National Institute of Standards and Technologyhttp://www.nist.gov/
    Description

    The NIST Computational Chemistry Comparison and Benchmark Database is a collection of experimental and ab initio thermochemical properties for a selected set of gas-phase molecules. The goals are to provide a benchmark set of experimental data for the evaluation of ab initio computational methods and allow the comparison between different ab initio computational methods for the prediction of gas-phase thermochemical properties. The data files linked to this record are a subset of the experimental data present in the CCCBDB.

  4. d

    Benchmarks

    • datasets.ai
    • s.cnmilf.com
    • +2more
    0, 17, 21, 23, 25, 38 +6
    Updated Sep 11, 2024
    + more versions
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    Earth Data Analysis Center, University of New Mexico (2024). Benchmarks [Dataset]. https://datasets.ai/datasets/benchmarks
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    52, 38, 55, 53, 21, 23, 57, 25, 51, 0, 17, 8Available download formats
    Dataset updated
    Sep 11, 2024
    Dataset authored and provided by
    Earth Data Analysis Center, University of New Mexico
    Description

    The National Flood Hazard Layer (NFHL) data incorporates all Digital Flood Insurance Rate Map(DFIRM) databases published by FEMA, and any Letters Of Map Revision (LOMRs) that have been issued against those databases since their publication date. The DFIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper Flood Insurance Rate Maps(FIRMs). The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The NFHL data are derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The specifications for the horizontal control of DFIRM data are consistent with those required for mapping at a scale of 1:12,000. The NFHL data contain layers in the Standard DFIRM datasets except for S_Label_Pt and S_Label_Ld. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all DFIRMs and corresponding LOMRs available on the publication date of the data set.

  5. w

    IBNET Benchmarking Database

    • wbwaterdata.org
    Updated Mar 18, 2020
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    (2020). IBNET Benchmarking Database [Dataset]. https://wbwaterdata.org/dataset/ibnet-benchmarking-database
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    Dataset updated
    Mar 18, 2020
    License

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

    Description

    Data on water utilities for 151 national jurisdictions, for a range of years up to and including 2017 (year range varies greatly by country and utility) on service and utility parameters (Benchmark Database) and Tariffs for 211 juristictions (Tariffs database). Information includes cost recovery, connections, population served, financial performance, non-revenue water, residential and total supply, total production. Data can be called up by utility, by group of utility, and by comparison between utilities, including the whole (global) utility database, enabling both country and global level comparison for individual utilities. Data can be downloaded in xls format.

  6. Benchmarks | Financial Data

    • lseg.com
    Updated Nov 20, 2023
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    LSEG (2023). Benchmarks | Financial Data [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/benchmarks
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    Dataset updated
    Nov 20, 2023
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

    https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

    Description

    Discover LSEG's Benchmark portfolio, featuring an unmatched depth and breadth that covers benchmark rates across multiple asset classes and regions.

  7. d

    Global Data Literacy Benchmark

    • datatothepeople.org
    Updated Aug 14, 2020
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    Data To The People (2020). Global Data Literacy Benchmark [Dataset]. https://www.datatothepeople.org/gdlb
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    Dataset updated
    Aug 14, 2020
    Dataset authored and provided by
    Data To The People
    Description

    Dataset enabling organizations to benchmark their data literacy capability globally.

  8. S

    Survey Benchmark

    • data.sanjoseca.gov
    • gisdata-csj.opendata.arcgis.com
    Updated Apr 28, 2025
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    Enterprise GIS (2025). Survey Benchmark [Dataset]. https://data.sanjoseca.gov/dataset/survey-benchmark
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    csv, geojson, kml, html, arcgis geoservices rest api, zipAvailable download formats
    Dataset updated
    Apr 28, 2025
    Dataset provided by
    City of San José
    Authors
    Enterprise GIS
    License

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

    Description

    These are locations that are to be used as an elevation reference and contain the official elevation and last known latitude and longitude.

    App: The data can be viewed in web map format at: Survey Benchmarks

    Data is published on Mondays on a weekly basis.


  9. r

    Geodetic Control Benchmarks

    • rigis.org
    • hub.arcgis.com
    • +1more
    Updated Nov 18, 2013
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    Environmental Data Center (2013). Geodetic Control Benchmarks [Dataset]. https://www.rigis.org/datasets/geodetic-control-benchmarks
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    Dataset updated
    Nov 18, 2013
    Dataset authored and provided by
    Environmental Data Center
    Area covered
    Description

    This data contains a set of geodetic control stations maintained by the National Geodetic Survey in the state of Rhode Island. Each geodetic control station in this dataset has either a precise Latitude/Longitude used for horizontal control or a precise Orthometric Height used for vertical control, or both.

    This dataset represents all geodetic control stations throughout the state of Rhode Island. The National Geodetic Survey (NGS) serves as the Nation's depository for geodetic data. The NGS distributes geodetic data worldwide to a variety of users. These geodetic data include the final results of geodetic surveys, software programs to format, compute, verify, and adjust original survey observations or to convert values from one geodetic datum to another, and publications that describe how to obtain and use Geodetic Data products and services.

  10. h

    Agent-Benchmarks-Data

    • huggingface.co
    Updated Mar 6, 2023
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    Agent-Benchmarks-Data [Dataset]. https://huggingface.co/datasets/large-traversaal/Agent-Benchmarks-Data
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    Dataset updated
    Mar 6, 2023
    Dataset provided by
    Traversaal.ai
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    large-traversaal/Agent-Benchmarks-Data dataset hosted on Hugging Face and contributed by the HF Datasets community

  11. a

    Benchmarks

    • hub.arcgis.com
    • maps-temecula.opendata.arcgis.com
    Updated Sep 26, 2017
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    City of Temecula (2017). Benchmarks [Dataset]. https://hub.arcgis.com/maps/temecula::benchmarks
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    Dataset updated
    Sep 26, 2017
    Dataset authored and provided by
    City of Temecula
    Area covered
    Description

    Benchmarks, last updated August 2015

  12. g

    Elevation Benchmarks | gimi9.com

    • gimi9.com
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    Elevation Benchmarks | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_elevation-benchmarks/
    Explore at:
    Description

    The following dataset includes "Active Benchmarks," which are provided to facilitate the identification of City-managed standard benchmarks. Standard benchmarks are for public and private use in establishing a point in space. Note: The benchmarks are referenced to the Chicago City Datum = 0.00, (CCD = 579.88 feet above mean tide New York). The City of Chicago Department of Water Management’s (DWM) Topographic Benchmark is the source of the benchmark information contained in this online database. The information contained in the index card system was compiled by scanning the original cards, then transcribing some of this information to prepare a table and map. Over time, the DWM will contract services to field verify the data and update the index card system and this online database.This dataset was last updated September 2011. Coordinates are estimated. To view map, go to https://data.cityofchicago.org/Buildings/Elevation-Benchmarks-Map/kmt9-pg57 or for PDF map, go to http://cityofchicago.org/content/dam/city/depts/water/supp_info/Benchmarks/BMMap.pdf. Please read the Terms of Use: http://www.cityofchicago.org/city/en/narr/foia/data_disclaimer.html.

  13. o

    OSNI Open Data - BenchMarks - Height - Dataset - Open Data NI

    • admin.opendatani.gov.uk
    Updated Sep 20, 2024
    + more versions
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    (2024). OSNI Open Data - BenchMarks - Height - Dataset - Open Data NI [Dataset]. https://admin.opendatani.gov.uk/dataset/osni-open-data-benchmarks-height
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    Dataset updated
    Sep 20, 2024
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    OSNI Benchmark data consists of point data giving the location of the points, along with the associated text which shows the height value. Bench marks are shown in metres above mean sea level. This data is not maintained. We recommend using a Global Navigation Satellite System (GNSS) and the latest geoid model to find orthometric height in Northern Ireland. Published here for OpenData. By download or use of this dataset you agree to abide by the LPS Open Government Data License.Please Note for Open Data NI Users: Esri Rest API is not Broken, it will not open on its own in a Web Browser but can be copied and used in Desktop and Webmaps

  14. 4

    Associated data underlying the article "Comparing open data benchmarks:...

    • data.4tu.nl
    zip
    Updated May 13, 2021
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    Anneke Zuiderwijk; Ali Pirannejad; Iryna Susha (2021). Associated data underlying the article "Comparing open data benchmarks: which metrics and methodologies determine countries’ positions in the ranking lists?" [Dataset]. http://doi.org/10.4121/14604330.v1
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 13, 2021
    Dataset provided by
    4TU.ResearchData
    Authors
    Anneke Zuiderwijk; Ali Pirannejad; Iryna Susha
    License

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

    Dataset funded by
    Swedish Research Council
    European Commission
    Description

    An understanding of the similar and divergent metrics and methodologies underlying open government data benchmarks can reduce the risks of the potential misinterpretation and misuse of benchmarking outcomes by policymakers, politicians, and researchers. Hence, this study aims to compare the metrics and methodologies used to measure, benchmark, and rank governments' progress in open government data initiatives. Using a critical meta-analysis approach, we compare nine benchmarks with reference to meta-data, meta-methods, and meta-theories. This study finds that both existing open government data benchmarks and academic open data progress models use a great variety of metrics and methodologies, although open data impact is not usually measured. While several benchmarks’ methods have changed over time, and variables measured have been adjusted, we did not identify a similar pattern for academic open data progress models. This study contributes to open data research in three ways: 1) it reveals the strengths and weaknesses of existing open government data benchmarks and academic open data progress models; 2) it reveals that the selected open data benchmarks employ relatively similar measures as the theoretical open data progress models; and 3) it provides an updated overview of the different approaches used to measure open government data initiatives’ progress. Finally, this study offers two practical contributions: 1) it provides the basis for combining the strengths of benchmarks to create more comprehensive approaches for measuring governments’ progress in open data initiatives; and 2) it explains why particular countries are ranked in a certain way. This information is essential for governments and researchers to identify and propose effective measures to improve their open data initiatives.

  15. Top 25 MS-DRGs – Statewide Benchmark (Pivot Profile)

    • data.chhs.ca.gov
    • data.ca.gov
    • +2more
    xls, xlsx, zip
    Updated Oct 1, 2024
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    Department of Health Care Access and Information (2024). Top 25 MS-DRGs – Statewide Benchmark (Pivot Profile) [Dataset]. https://data.chhs.ca.gov/dataset/top-25-ms-drgs-statewide-benchmark-pivot-profile
    Explore at:
    xlsx, xlsx(6143488), xlsx(6137856), xls, zip, xlsx(4914176), xls(6066688), xlsx(6134784), xlsx(5926912)Available download formats
    Dataset updated
    Oct 1, 2024
    Dataset authored and provided by
    Department of Health Care Access and Information
    Description

    Annual Excel pivot tables display the statewide top 25 MS-DRGs (Medicare Severity-Diagnosis Related Groups) by Average Charge per Stay. Each California hospital can be compared to the statewide benchmarks for those same MS-DRGs.

  16. W

    IR Benchmarks

    • webis.de
    • anthology.aicmu.ac.cn
    Updated 2023
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    Maik Fröbe; Simon Reich; Niklas Deckers; Janek Bevendorff; Benno Stein; Matthias Hagen; Martin Potthast (2023). IR Benchmarks [Dataset]. https://webis.de/data/ir-benchmarks.html
    Explore at:
    Dataset updated
    2023
    Dataset provided by
    Friedrich Schiller University Jena
    Bauhaus-Universität Weimar and Leipzig University
    The Web Technology & Information Systems Network
    University of Kassel and hessian.AI
    University of Kassel, hessian.AI, and ScaDS.AI
    Bauhaus-Universität Weimar
    Authors
    Maik Fröbe; Simon Reich; Niklas Deckers; Janek Bevendorff; Benno Stein; Matthias Hagen; Martin Potthast
    License

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

    Description

    A collection of information retrieval benchmarks covering 15 corpora (1.9 billion documents) on which 32 well-known shared tasks are based. We filled the leaderboards with Docker images of 50 standard retrieval approaches. Within this setup, we were able to automatically run and evaluate the 50 approaches on the 32 tasks (1600 runs). All Benchmarks are added as training datasets because their qrels are already publicly available. Please find a detailed tutorial on how to submit approaches on github.

    View on TIRA: https://tira.io/task-overview/ir-benchmarks

  17. v

    Survey Benchmarks

    • anrgeodata.vermont.gov
    Updated Jul 19, 2023
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    City of Long Beach, CA (2023). Survey Benchmarks [Dataset]. https://anrgeodata.vermont.gov/maps/LongBeachCA::survey-benchmarks/about
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    Dataset updated
    Jul 19, 2023
    Dataset authored and provided by
    City of Long Beach, CA
    Area covered
    Description

    This data set depicts the estimated horizontal locations of some 1,700 + City of Long Beach Survey Benchmarks. A survey benchmark is a permanent marker established by a land surveyor to provide elevation reference to a defined vertical datum. More precise locations are provided in the descriptions of the individual benchmarks contained within the Survey Benchmark Book published on the City website (longbeach.gov/pw/resources/maps/). The elevations shown therein are based upon measurements made through conventional differential leveling methods. The latest comprehensive inventory, measurement and adjustment of citywide benchmarks was made in 1985. The network is referenced to the National Geodetic Vertical Datum of 1929 (NGVD29) and is based upon an elevation of +11.129 feet on the tidal benchmark named “Tidal 8” located at Berth 69 of Municipal Pier No.1 in the Los Angeles Outer Harbor. The intention of the benchmark list is to provide vertical elevation data to the public on city-maintained benchmarks. As with all survey data, care should be taken to verify the benchmark elevations by measuring multiple benchmarks. The horizontal locations contained in the data set are only approximate and intended exclusively for geographical representation for project planning purposes. Please report any inconsistencies in this data to the Surveying department at the City of Long Beach by phone at (562)570-3093 or by email at CLBSurvey@longbeach.gov.For more information, see Surveying Practice - California Business & Professions Code, Chapter 15; Article 5; Section 8771.”

  18. a

    GPS Monuments Benchmarks

    • hub.arcgis.com
    Updated Dec 18, 2014
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    CODGISADM (2014). GPS Monuments Benchmarks [Dataset]. https://hub.arcgis.com/datasets/f986891c52e84feeb0f533479b609cec
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    Dataset updated
    Dec 18, 2014
    Dataset authored and provided by
    CODGISADM
    Area covered
    Description

    The database is a set of entities and attributes as referenced to individual geographic locations, hereafter referred to as "Point". Each individual Point has a location relative to all other points in the database as referenced to a coordinate grid. The relative location of the points as represented in this database correspond to the physical or determined locations of Survey Control Monumentation.

  19. K

    Denver, Colorado Benchmarks

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated May 15, 2019
    + more versions
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    City and County of Denver, Colorado (2019). Denver, Colorado Benchmarks [Dataset]. https://koordinates.com/layer/101875-denver-colorado-benchmarks/
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    dwg, geodatabase, kml, csv, pdf, geopackage / sqlite, shapefile, mapinfo tab, mapinfo mifAvailable download formats
    Dataset updated
    May 15, 2019
    Dataset authored and provided by
    City and County of Denver, Colorado
    Area covered
    Description

    This dataset contains vertical benchmark data for the City and County of Denver. Monumentation for this dataset includes U.S. Coast and Geodetic Survey (USCGS), National Geodetic Survey (NGS), and City and County of Denver (CCD) benchmarks. Elevations for bench marks are typically determined by standard differential leveling activity. NGS High-Accuracy Reference Network (HARN) points are portrayed in the ENG_SRVNGSHARN_P dataset.

  20. A

    ‘Elevation Benchmarks’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 26, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Elevation Benchmarks’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-elevation-benchmarks-b71c/f2968a87/?iid=002-536&v=presentation
    Explore at:
    Dataset updated
    Jan 26, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Elevation Benchmarks’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/70702d43-697b-469c-ba43-514abe474f03 on 26 January 2022.

    --- Dataset description provided by original source is as follows ---

    The following dataset includes "Active Benchmarks," which are provided to facilitate the identification of City-managed standard benchmarks. Standard benchmarks are for public and private use in establishing a point in space. Note: The benchmarks are referenced to the Chicago City Datum = 0.00, (CCD = 579.88 feet above mean tide New York). The City of Chicago Department of Water Management’s (DWM) Topographic Benchmark is the source of the benchmark information contained in this online database. The information contained in the index card system was compiled by scanning the original cards, then transcribing some of this information to prepare a table and map. Over time, the DWM will contract services to field verify the data and update the index card system and this online database.This dataset was last updated September 2011. Coordinates are estimated. To view map, go to https://data.cityofchicago.org/Buildings/Elevation-Benchmarks-Map/kmt9-pg57 or for PDF map, go to http://cityofchicago.org/content/dam/city/depts/water/supp_info/Benchmarks/BMMap.pdf. Please read the Terms of Use: http://www.cityofchicago.org/city/en/narr/foia/data_disclaimer.html.

    --- Original source retains full ownership of the source dataset ---

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data.cityofchicago.org (2023). Elevation Benchmarks [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/elevation-benchmarks

Elevation Benchmarks

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243 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Dec 2, 2023
Dataset provided by
data.cityofchicago.org
Description

The following dataset includes "Active Benchmarks," which are provided to facilitate the identification of City-managed standard benchmarks. Standard benchmarks are for public and private use in establishing a point in space. Note: The benchmarks are referenced to the Chicago City Datum = 0.00, (CCD = 579.88 feet above mean tide New York). The City of Chicago Department of Water Management’s (DWM) Topographic Benchmark is the source of the benchmark information contained in this online database. The information contained in the index card system was compiled by scanning the original cards, then transcribing some of this information to prepare a table and map. Over time, the DWM will contract services to field verify the data and update the index card system and this online database.This dataset was last updated September 2011. Coordinates are estimated. To view map, go to https://data.cityofchicago.org/Buildings/Elevation-Benchmarks-Map/kmt9-pg57 or for PDF map, go to http://cityofchicago.org/content/dam/city/depts/water/supp_info/Benchmarks/BMMap.pdf. Please read the Terms of Use: http://www.cityofchicago.org/city/en/narr/foia/data_disclaimer.html.

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