6 datasets found
  1. d

    NWRA AIA Active Region Patches (AARP) Database

    • catalog.data.gov
    • s.cnmilf.com
    • +2more
    Updated Jul 11, 2025
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    Solar Data Analysis Center (SDAC) (2025). NWRA AIA Active Region Patches (AARP) Database [Dataset]. https://catalog.data.gov/dataset/nwra-aia-active-region-patches-aarp-database
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    Dataset updated
    Jul 11, 2025
    Dataset provided by
    Solar Data Analysis Center (SDAC)
    Description

    The "AIA Active Region Patches" comprise an unbiased multi-wavelength set of FITS files of data extracted from SDO/AIA full-disk data. The spatial extractions are based on SDO/HMI "Active Region Patch" (HARP) definitions, and match the HARP numbering. However, the AARPs have extended bounding-boxes to cover the larger visible extent of coronal loops. There is no spatial binning and no additional geometric or regridding performed. The spectral down-sampling comprises the omission of 1700 images; all other filters are included (94, 131, 171, 193, 211, 304, 335, 1600). The temporal sampling consists of 11 images at 72s cadence (13 min) for each wavelength, centered at 15:48, 16:48, 17:48, 18:48, 19:48, 20:48 and 21:48, daily. No AEC-invoked (shorter exposure) data were included; exposure times were consistent but not multiplied through (data are presented in DN). The SSW aia_prep and corrections for time-dependent sensitivity degradation were applied.

  2. g

    NWRA AIA Active Region Patches (AARP) Database | gimi9.com

    • gimi9.com
    Updated Mar 15, 2024
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    (2024). NWRA AIA Active Region Patches (AARP) Database | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_nwra-aia-active-region-patches-aarp-database/
    Explore at:
    Dataset updated
    Mar 15, 2024
    Description

    The "AIA Active Region Patches" comprise an unbiased multi-wavelength set of FITS files of data extracted from SDO/AIA full-disk data. The spatial extractions are based on SDO/HMI "Active Region Patch" (HARP) definitions, and match the HARP numbering. However, the AARPs have extended bounding-boxes to cover the larger visible extent of coronal loops. There is no spatial binning and no additional geometric or regridding performed. The spectral down-sampling comprises the omission of 1700 images; all other filters are included (94, 131, 171, 193, 211, 304, 335, 1600). The temporal sampling consists of 11 images at 72s cadence (13 min) for each wavelength, centered at 15:48, 16:48, 17:48, 18:48, 19:48, 20:48 and 21:48, daily. No AEC-invoked (shorter exposure) data were included; exposure times were consistent but not multiplied through (data are presented in DN). The SSW aia_prep and corrections for time-dependent sensitivity degradation were applied.

  3. .aarp TLD Whois Database | Whois Data Center

    • whoisdatacenter.com
    csv
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    AllHeart Web Inc, .aarp TLD Whois Database | Whois Data Center [Dataset]. https://whoisdatacenter.com/tld/.aarp/
    Explore at:
    csvAvailable download formats
    Dataset provided by
    AllHeart Web
    Authors
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Jun 28, 2025 - Dec 30, 2025
    Description

    .AARP Whois Database, discover comprehensive ownership details, registration dates, and more for .AARP TLD with Whois Data Center.

  4. f

    Descriptive statistics (N = 152,373).

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Michael Topping; Jinho Kim; Jason Fletcher (2023). Descriptive statistics (N = 152,373). [Dataset]. http://doi.org/10.1371/journal.pone.0254174.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Michael Topping; Jinho Kim; Jason Fletcher
    License

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

    Description

    Descriptive statistics (N = 152,373).

  5. AARP-NY

    • data.wu.ac.at
    csv, json, xml
    Updated Oct 9, 2017
    + more versions
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    Police Department (NYPD) (2017). AARP-NY [Dataset]. https://data.wu.ac.at/schema/bronx_lehman_cuny_edu/cGU2NS01OHNo
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    xml, csv, jsonAvailable download formats
    Dataset updated
    Oct 9, 2017
    Dataset provided by
    New York City Police Departmenthttps://nyc.gov/nypd
    Description

    This dataset includes all valid felony, misdemeanor, and violation crimes reported to the New York City Police Department (NYPD) for all complete quarters so far this year (2016). Offenses occurring at intersections are represented at the X Coordinate and Y Coordinate of the intersection. Crimes occurring anywhere other than an intersection are geo-located to the middle of the block. For additional details, please see the attached data dictionary in the ‘About’ section.

  6. Leading magazines U.S. H1 2023, by circulation

    • statista.com
    • ai-chatbox.pro
    Updated Jun 25, 2025
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    Statista (2025). Leading magazines U.S. H1 2023, by circulation [Dataset]. https://www.statista.com/statistics/239631/leading-us-consumer-magazines-by-circulation/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    AARP The Magazine was the leading U.S. magazine in the first half of 2023, with a paid and non-paid circulation of ***** million. In second place was the AARP Bulletin with ***** million. These two magazines had by far the highest circulation of all magazines analyzed by the source, with Costco Connection in third place with a circulation of just over ** million, followed by American Mainstreet with a little over ** million. Magazine brands and categories The fastest-growing magazine brand in the United States in 2020 was experiential travel magazine Afar. Largely thanks to an increase in mobile web visitors, the magazine’s average monthly audience climbed by ** percent year-over-year. Travel was, however, not among the top-performing magazine categories in the United States in 2020, and data showed that just one travel magazine was launched that year. The majority of magazines launched were in the special interest category. Magazine readership U.S. magazine readers still prefer print magazines to digital versions. At the same time, the average mobile web audience of magazine brands is growing. In fact, data from December 2020 showed that ** percent of magazine access in the United States occurred via mobile web, very close to the share of adults reading printed magazines or online versions thereof. The number of magazine readers climbed semi-consistently between 2012 and 2019, although the figure dipped below *** million in 2020. The source partially attributed this to the drop in pass-along readership during the COVID-19 pandemic, as trends showed that without the outbreak, the number was on track to reach *** million.

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    Learn how you can add new datasets to our index.

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Solar Data Analysis Center (SDAC) (2025). NWRA AIA Active Region Patches (AARP) Database [Dataset]. https://catalog.data.gov/dataset/nwra-aia-active-region-patches-aarp-database

NWRA AIA Active Region Patches (AARP) Database

Explore at:
Dataset updated
Jul 11, 2025
Dataset provided by
Solar Data Analysis Center (SDAC)
Description

The "AIA Active Region Patches" comprise an unbiased multi-wavelength set of FITS files of data extracted from SDO/AIA full-disk data. The spatial extractions are based on SDO/HMI "Active Region Patch" (HARP) definitions, and match the HARP numbering. However, the AARPs have extended bounding-boxes to cover the larger visible extent of coronal loops. There is no spatial binning and no additional geometric or regridding performed. The spectral down-sampling comprises the omission of 1700 images; all other filters are included (94, 131, 171, 193, 211, 304, 335, 1600). The temporal sampling consists of 11 images at 72s cadence (13 min) for each wavelength, centered at 15:48, 16:48, 17:48, 18:48, 19:48, 20:48 and 21:48, daily. No AEC-invoked (shorter exposure) data were included; exposure times were consistent but not multiplied through (data are presented in DN). The SSW aia_prep and corrections for time-dependent sensitivity degradation were applied.

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