3 datasets found
  1. NYC STEW-MAP Staten Island organizations' website hyperlink webscrape

    • s.cnmilf.com
    • catalog.data.gov
    Updated Nov 21, 2022
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    U.S. EPA Office of Research and Development (ORD) (2022). NYC STEW-MAP Staten Island organizations' website hyperlink webscrape [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/nyc-stew-map-staten-island-organizations-website-hyperlink-webscrape
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    Dataset updated
    Nov 21, 2022
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Area covered
    Staten Island, New York
    Description

    The data represent web-scraping of hyperlinks from a selection of environmental stewardship organizations that were identified in the 2017 NYC Stewardship Mapping and Assessment Project (STEW-MAP) (USDA 2017). There are two data sets: 1) the original scrape containing all hyperlinks within the websites and associated attribute values (see "README" file); 2) a cleaned and reduced dataset formatted for network analysis. For dataset 1: Organizations were selected from from the 2017 NYC Stewardship Mapping and Assessment Project (STEW-MAP) (USDA 2017), a publicly available, spatial data set about environmental stewardship organizations working in New York City, USA (N = 719). To create a smaller and more manageable sample to analyze, all organizations that intersected (i.e., worked entirely within or overlapped) the NYC borough of Staten Island were selected for a geographically bounded sample. Only organizations with working websites and that the web scraper could access were retained for the study (n = 78). The websites were scraped between 09 and 17 June 2020 to a maximum search depth of ten using the snaWeb package (version 1.0.1, Stockton 2020) in the R computational language environment (R Core Team 2020). For dataset 2: The complete scrape results were cleaned, reduced, and formatted as a standard edge-array (node1, node2, edge attribute) for network analysis. See "READ ME" file for further details. References: R Core Team. (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/. Version 4.0.3. Stockton, T. (2020). snaWeb Package: An R package for finding and building social networks for a website, version 1.0.1. USDA Forest Service. (2017). Stewardship Mapping and Assessment Project (STEW-MAP). New York City Data Set. Available online at https://www.nrs.fs.fed.us/STEW-MAP/data/. This dataset is associated with the following publication: Sayles, J., R. Furey, and M. Ten Brink. How deep to dig: effects of web-scraping search depth on hyperlink network analysis of environmental stewardship organizations. Applied Network Science. Springer Nature, New York, NY, 7: 36, (2022).

  2. f

    Map of Islip Village, 1887

    • forgettingtorememberproject.org
    Updated Feb 9, 2023
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    Vanderbilt University (2023). Map of Islip Village, 1887 [Dataset]. https://www.forgettingtorememberproject.org/datasets/map-of-islip-village-1887
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    Dataset updated
    Feb 9, 2023
    Dataset authored and provided by
    Vanderbilt University
    Area covered
    Description

    1887 property map of Islip Village, New York and surrounding vicinity. Created by Eugene R. Smith. Available through Brooklyn Public Library's Center for Brooklyn History.Citation: Property map of Islip Village and vicinity: Suffolk County, N.Y.: made from original surveys by Eugene R. Smith, civil engineer, Islip, Suffolk Co. N.Y.; [1887], Map Collection, L.I.-[1887?].Fl; Brooklyn Historical Society. https://mapcollections.brooklynhistory.org/map/property-map-of-islip-village-and-vicinity-suffolk-county-n-y-made-from-original-surveys-by-eugene-r-smith-civil-engineer-islip-suffolk-co-n-y/

  3. Spatial regression helping to improve OLS performance (In-Sample R-squared)...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Lingjing Wang; Cheng Qian; Philipp Kats; Constantine Kontokosta; Stanislav Sobolevsky (2023). Spatial regression helping to improve OLS performance (In-Sample R-squared) for New York. [Dataset]. http://doi.org/10.1371/journal.pone.0186314.t005
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Lingjing Wang; Cheng Qian; Philipp Kats; Constantine Kontokosta; Stanislav Sobolevsky
    License

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

    Area covered
    New York
    Description

    Spatial regression helping to improve OLS performance (In-Sample R-squared) for New York.

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U.S. EPA Office of Research and Development (ORD) (2022). NYC STEW-MAP Staten Island organizations' website hyperlink webscrape [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/nyc-stew-map-staten-island-organizations-website-hyperlink-webscrape
Organization logo

NYC STEW-MAP Staten Island organizations' website hyperlink webscrape

Explore at:
Dataset updated
Nov 21, 2022
Dataset provided by
United States Environmental Protection Agencyhttp://www.epa.gov/
Area covered
Staten Island, New York
Description

The data represent web-scraping of hyperlinks from a selection of environmental stewardship organizations that were identified in the 2017 NYC Stewardship Mapping and Assessment Project (STEW-MAP) (USDA 2017). There are two data sets: 1) the original scrape containing all hyperlinks within the websites and associated attribute values (see "README" file); 2) a cleaned and reduced dataset formatted for network analysis. For dataset 1: Organizations were selected from from the 2017 NYC Stewardship Mapping and Assessment Project (STEW-MAP) (USDA 2017), a publicly available, spatial data set about environmental stewardship organizations working in New York City, USA (N = 719). To create a smaller and more manageable sample to analyze, all organizations that intersected (i.e., worked entirely within or overlapped) the NYC borough of Staten Island were selected for a geographically bounded sample. Only organizations with working websites and that the web scraper could access were retained for the study (n = 78). The websites were scraped between 09 and 17 June 2020 to a maximum search depth of ten using the snaWeb package (version 1.0.1, Stockton 2020) in the R computational language environment (R Core Team 2020). For dataset 2: The complete scrape results were cleaned, reduced, and formatted as a standard edge-array (node1, node2, edge attribute) for network analysis. See "READ ME" file for further details. References: R Core Team. (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/. Version 4.0.3. Stockton, T. (2020). snaWeb Package: An R package for finding and building social networks for a website, version 1.0.1. USDA Forest Service. (2017). Stewardship Mapping and Assessment Project (STEW-MAP). New York City Data Set. Available online at https://www.nrs.fs.fed.us/STEW-MAP/data/. This dataset is associated with the following publication: Sayles, J., R. Furey, and M. Ten Brink. How deep to dig: effects of web-scraping search depth on hyperlink network analysis of environmental stewardship organizations. Applied Network Science. Springer Nature, New York, NY, 7: 36, (2022).

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