43 datasets found
  1. J

    How the baby boomers' retirement wave distorts model‐based output gap...

    • jda-test.zbw.eu
    • journaldata.zbw.eu
    csv, pdf, txt, xlsx
    Updated Jul 22, 2024
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    Maik H. Wolters; Maik H. Wolters (2024). How the baby boomers' retirement wave distorts model‐based output gap estimates (replication data) [Dataset]. https://jda-test.zbw.eu/dataset/how-the-baby-boomers-retirement-wave-distorts-modelbased-output-gap-estimates
    Explore at:
    csv(42907), xlsx(172150), csv(18744), txt(4177), pdf(110600), xlsx(135640)Available download formats
    Dataset updated
    Jul 22, 2024
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Maik H. Wolters; Maik H. Wolters
    License

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

    Description

    This paper illustrates, based on an example, the importance of consistency between empirical measurement and the concept of variables in estimated macroeconomic models. Since standard New Keynesian models do not account for demographic trends and sectoral shifts, I propose adjusting hours worked per capita used to estimate such models accordingly to enhance the consistency between the data and the model. Without this adjustment, low-frequency shifts in hours lead to unreasonable trends in the output gap, caused by the close link between hours and the output gap in such models. The retirement wave of baby boomers, for example, lowers US aggregate hours per capita, which leads to erroneous permanently negative output gap estimates following the Great Recession. After correcting hours for changes in the age composition, the estimated output gap closes gradually instead following the years after the Great Recession.

  2. w

    Dataset of books called Boomer nation : the largest and richest generation...

    • workwithdata.com
    Updated Apr 17, 2025
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    Work With Data (2025). Dataset of books called Boomer nation : the largest and richest generation ever, and how it changed America [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=book&fop0=%3D&fval0=Boomer+nation+%3A+the+largest+and+richest+generation+ever%2C+and+how+it+changed+America
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    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Area covered
    United States
    Description

    This dataset is about books. It has 1 row and is filtered where the book is Boomer nation : the largest and richest generation ever, and how it changed America. It features 7 columns including author, publication date, language, and book publisher.

  3. PSRA / AARP Poll: Boomers at Midlife, 2002

    • archive.ciser.cornell.edu
    Updated Dec 30, 2019
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    American Association of Retired Persons (2019). PSRA / AARP Poll: Boomers at Midlife, 2002 [Dataset]. http://doi.org/10.6077/vj1w-fq56
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    Dataset updated
    Dec 30, 2019
    Dataset provided by
    AARPhttp://www.aarp.org/
    Authors
    American Association of Retired Persons
    Variables measured
    Individual
    Description

    For this nationwide, representative survey, 2,127 baby boomers were asked to rate their current levels of satisfaction or dissatisfaction with - and short-term goals for - seven major areas of their lives: physical health, work/career, personal finances, religious/spiritual life; friends and family; leisure; and mental health. Comparable data were collected from 781 younger adults (ages 18-37) and 758 older adults ( 57+). Telephone interviews were conducted from April 11 through June 15, 2002 by Princeton Survey Research Associates.

    Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at the Roper Center for Public Opinion Research at https://doi.org/10.25940/ROPER-31086240. We highly recommend using the Roper Center version as they may make this dataset available in multiple data formats in the future.

  4. d

    Age Structure, 2006 - Early Working Years by Census Division (15 - 34 years)...

    • datasets.ai
    • open.canada.ca
    0, 57
    Updated Sep 3, 2009
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    Natural Resources Canada | Ressources naturelles Canada (2009). Age Structure, 2006 - Early Working Years by Census Division (15 - 34 years) [Dataset]. https://datasets.ai/datasets/dfa298a1-8893-11e0-90eb-6cf049291510
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    57, 0Available download formats
    Dataset updated
    Sep 3, 2009
    Dataset authored and provided by
    Natural Resources Canada | Ressources naturelles Canada
    Description

    The working-age population can be divided into two broad categories: the early-working age group (15-34) and the later working age group (35-64). The effect of fertility on the composition of these groups is obvious. The later working age group is largely composed of the baby-boomers (those born between 1946 and 1965), while the early working age group is composed of those born during the baby-bust period (1966-1974) and the children of baby-boomers. Thus, despite the fact that baby-boomers are now older, they still remain the largest group in the population. This is evident in the relatively large proportion (42.6%) of the population that belonged to the late working age group in 2006. The corresponding proportion was much smaller (31.3%) just 25 years ago in 1981. As a result of the entry into the working age group of the people born during the baby-bust period and the children of baby-boomers in 2006, only 26.0% of the population belonged to the 15 to 34 age group in 2006, compared with 36.5% in 1981.

  5. d

    Archive of Digital Boomer Seismic Reflection Data Collected During USGS...

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Oct 2, 2024
    + more versions
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    U.S. Geological Survey (2024). Archive of Digital Boomer Seismic Reflection Data Collected During USGS Cruises 94CCT01 and 95CCT01, Eastern Texas and Western Louisiana, 1994 and 1995 [Dataset]. https://catalog.data.gov/dataset/archive-of-digital-boomer-seismic-reflection-data-collected-during-usgs-cruises-94cct01-an
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    Dataset updated
    Oct 2, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    In June of 1994 and August and September of 1995, the U.S. Geological Survey, in cooperation with the University of Texas Bureau of Economic Geology, conducted geophysical surveys of the Sabine and Calcasieu Lake areas and the Gulf of Mexico offshore eastern Texas and western Louisiana. This report serves as an archive of unprocessed digital boomer seismic reflection data, trackline maps, navigation files, observers' logbooks, GIS information, and formal FGDC metadata. In addition, a filtered and gained GIF image of each seismic profile is provided. The archived trace data are in standard Society of Exploration Geophysicists (SEG) SEG-Y format (Barry and others, 1975) and may be downloaded and processed with commercial or public domain software such as Seismic Unix (SU). Examples of SU processing scripts and in-house (USGS) software for viewing SEG-Y files (Zihlman, 1992) are also provided. Processed profile images, trackline maps, navigation files, and formal metadata may be viewed with a web browser. Scanned handwritten logbooks and Field Activity Collection System (FACS) logs may be viewed with Adobe Reader. For more information on the seismic surveys see http://walrus.wr.usgs.gov/infobank/g/g194gm/html/g-1-94-gm.meta.html and http://walrus.wr.usgs.gov/infobank/g/g195gm/html/g-1-95-gm.meta.html These data are also available via GeoMapApp (http://www.geomapapp.org/) and Virtual Ocean ( http://www.virtualocean.org/) earth science exploration and visualization applications.

  6. Drug Use By Age

    • kaggle.com
    Updated Apr 23, 2021
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    Bojan Tunguz (2021). Drug Use By Age [Dataset]. https://www.kaggle.com/datasets/tunguz/drug-use-by-age/discussion
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 23, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Bojan Tunguz
    License

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

    Description

    Drug Use By Age

    This directory contains data behind the story How Baby Boomers Get High. It covers 13 drugs across 17 age groups.

    Source: National Survey on Drug Use and Health from the Substance Abuse and Mental Health Data Archive.

    HeaderDefinition
    alcohol-usePercentage of those in an age group who used alcohol in the past 12 months
    alcohol-frequencyMedian number of times a user in an age group used alcohol in the past 12 months
    marijuana-usePercentage of those in an age group who used marijuana in the past 12 months
    marijuana-frequencyMedian number of times a user in an age group used marijuana in the past 12 months
    cocaine-usePercentage of those in an age group who used cocaine in the past 12 months
    cocaine-frequencyMedian number of times a user in an age group used cocaine in the past 12 months
    crack-usePercentage of those in an age group who used crack in the past 12 months
    crack-frequencyMedian number of times a user in an age group used crack in the past 12 months
    heroin-usePercentage of those in an age group who used heroin in the past 12 months
    heroin-frequencyMedian number of times a user in an age group used heroin in the past 12 months
    hallucinogen-usePercentage of those in an age group who used hallucinogens in the past 12 months
    hallucinogen-frequencyMedian number of times a user in an age group used hallucinogens in the past 12 months
    inhalant-usePercentage of those in an age group who used inhalants in the past 12 months
    inhalant-frequencyMedian number of times a user in an age group used inhalants in the past 12 months
    pain-releiver-usePercentage of those in an age group who used pain relievers in the past 12 months
    pain-releiver-frequencyMedian number of times a user in an age group used pain relievers in the past 12 months
    oxycontin-usePercentage of those in an age group who used oxycontin in the past 12 months
    oxycontin-frequencyMedian number of times a user in an age group used oxycontin in the past 12 months
    tranquilizer-usePercentage of those in an age group who used tranquilizer in the past 12 months
    tranquilizer-frequencyMedian number of times a user in an age group used tranquilizer in the past 12 months
    stimulant-usePercentage of those in an age group who used stimulants in the past 12 months
    stimulant-frequencyMedian number of times a user in an age group used stimulants in the past 12 months
    meth-usePercentage of those in an age group who used meth in the past 12 months
    meth-frequencyMedian number of times a user in an age group used meth in the past 12 months
    sedative-usePercentage of those in an age group who used sedatives in the past 12 months
    sedative-frequencyMedian number of times a user in an age group used sedatives in the past 12 months
  7. FiveThirtyEight Drug Use By Age Dataset

    • kaggle.com
    Updated Apr 26, 2019
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    FiveThirtyEight (2019). FiveThirtyEight Drug Use By Age Dataset [Dataset]. https://www.kaggle.com/fivethirtyeight/fivethirtyeight-drug-use-by-age-dataset/activity
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 26, 2019
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    FiveThirtyEight
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Content

    Drug Use By Age

    This directory contains data behind the story How Baby Boomers Get High. It covers 13 drugs across 17 age groups.

    Source: National Survey on Drug Use and Health from the Substance Abuse and Mental Health Data Archive.

    HeaderDefinition
    alcohol-usePercentage of those in an age group who used alcohol in the past 12 months
    alcohol-frequencyMedian number of times a user in an age group used alcohol in the past 12 months
    marijuana-usePercentage of those in an age group who used marijuana in the past 12 months
    marijuana-frequencyMedian number of times a user in an age group used marijuana in the past 12 months
    cocaine-usePercentage of those in an age group who used cocaine in the past 12 months
    cocaine-frequencyMedian number of times a user in an age group used cocaine in the past 12 months
    crack-usePercentage of those in an age group who used crack in the past 12 months
    crack-frequencyMedian number of times a user in an age group used crack in the past 12 months
    heroin-usePercentage of those in an age group who used heroin in the past 12 months
    heroin-frequencyMedian number of times a user in an age group used heroin in the past 12 months
    hallucinogen-usePercentage of those in an age group who used hallucinogens in the past 12 months
    hallucinogen-frequencyMedian number of times a user in an age group used hallucinogens in the past 12 months
    inhalant-usePercentage of those in an age group who used inhalants in the past 12 months
    inhalant-frequencyMedian number of times a user in an age group used inhalants in the past 12 months
    pain-releiver-usePercentage of those in an age group who used pain relievers in the past 12 months
    pain-releiver-frequencyMedian number of times a user in an age group used pain relievers in the past 12 months
    oxycontin-usePercentage of those in an age group who used oxycontin in the past 12 months
    oxycontin-frequencyMedian number of times a user in an age group used oxycontin in the past 12 months
    tranquilizer-usePercentage of those in an age group who used tranquilizer in the past 12 months
    tranquilizer-frequencyMedian number of times a user in an age group used tranquilizer in the past 12 months
    stimulant-usePercentage of those in an age group who used stimulants in the past 12 months
    stimulant-frequencyMedian number of times a user in an age group used stimulants in the past 12 months
    meth-usePercentage of those in an age group who used meth in the past 12 months
    meth-frequencyMedian number of times a user in an age group used meth in the past 12 months
    sedative-usePercentage of those in an age group who used sedatives in the past 12 months
    sedative-frequencyMedian number of times a user in an age group used sedatives in the past 12 months

    Context

    This is a dataset from FiveThirtyEight hosted on their GitHub. Explore FiveThirtyEight data using Kaggle and all of the data sources available through the FiveThirtyEight organization page!

    • Update Frequency: This dataset is updated daily.

    Acknowledgements

    This dataset is maintained using GitHub's API and Kaggle's API.

    This dataset is distributed under the Attribution 4.0 International (CC BY 4.0) license.

    Cover photo by Eric Muhr on Unsplash
    Unsplash Images are distributed under a unique Unsplash License.

  8. d

    Archive of Boomer and Chirp Seismic Reflection Data Collected During USGS...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Archive of Boomer and Chirp Seismic Reflection Data Collected During USGS Cruise 01RCE02, Southern Louisiana, April and May 2001 [Dataset]. https://catalog.data.gov/dataset/archive-of-boomer-and-chirp-seismic-reflection-data-collected-during-usgs-cruise-01rce02-s
    Explore at:
    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    This archive consists of two-dimensional marine seismic reflection profile data collected in the Mississippi River Delta, Atchafalaya River Delta, and Shell Island Pass in southern Louisiana. These data were acquired in April and May of 2001 aboard the R/V G. K. Gilbert. The data are available in a variety of formats, including binary, ASCII, HTML, shapefiles, and GIF and JPEG images. Binary data are in Society of Exploration Geophysicists (SEG) SEG-Y format and may be downloaded for further processing or display. Reference maps and GIF images of the profiles may be viewed with your web browser. The GIS information provided is compatible with ESRI's GIS software. For more information on the seismic surveys see http://walrus.wr.usgs.gov/infobank/g/g201la/html/g-2-01-la.meta.html These data are also available via GeoMapApp (http://www.geomapapp.org/) and Virtual Ocean ( http://www.virtualocean.org/) earth science exploration and visualization applications.

  9. u

    Age Structure, 2006 - Later Working Years by Census Subdivision (35 - 64...

    • data.urbandatacentre.ca
    • beta.data.urbandatacentre.ca
    Updated Oct 1, 2024
    + more versions
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    (2024). Age Structure, 2006 - Later Working Years by Census Subdivision (35 - 64 years) - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-dfe7b7ee-8893-11e0-8b80-6cf049291510
    Explore at:
    Dataset updated
    Oct 1, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    The working-age population can be divided into two broad categories: the early-working age group (15-34) and the later working age group (35-64). The effect of fertility on the composition of these groups is obvious. The later working age group is largely composed of the baby-boomers (those born between 1946 and 1965), while the early working age group is composed of those born during the baby-bust period (1966-1974) and the children of baby-boomers. Thus, despite the fact that baby-boomers are now older, they still remain the largest group in the population. This is evident in the relatively large proportion (42.6%) of the population that belonged to the late working age group in 2006. The corresponding proportion was much smaller (31.3%) just 25 years ago in 1981. As a result of the entry into the working age group of the people born during the baby-bust period and the children of baby-boomers in 2006, only 26.0% of the population belonged to the 15 to 34 age group in 2006, compared with 36.5% in 1981.

  10. d

    Archive of Digital Boomer and CHIRP Seismic Reflection Data Collected During...

    • catalog.data.gov
    • data.usgs.gov
    • +3more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Archive of Digital Boomer and CHIRP Seismic Reflection Data Collected During USGS Field Activity 08LCA03 in Lake Panasoffkee, Florida, May 2008 [Dataset]. https://catalog.data.gov/dataset/archive-of-digital-boomer-and-chirp-seismic-reflection-data-collected-during-usgs-field-ac
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Lake Panasoffkee, Florida
    Description

    From May 13 to May 14 of 2008, the U.S. Geological Survey conducted geophysical surveys in Lake Panasoffkee, Florida. Thisreport serves as an archive of unprocessed digital boomer and CHIRP seismic reflection data, trackline maps, navigation files, GIS information, FACS logs, and formal FGDC metadata. Filtered and (or) gained digital images of the seismic profiles are also provided. The archived trace data are in standard Society of Exploration Geophysicists (SEG) SEG-Y format (Barry and others, 1975) and may be downloaded and processed with commercial or public domain software such as Seismic Unix (SU). Example SU processing scripts and USGS software for viewing the SEG-Y files (Zihlman, 1992) are also provided. For more information on the seismic surveys see http://walrus.wr.usgs.gov/infobank/j/j308fl/html/j-3-08-fl.meta.html These data are also available via GeoMapApp (http://www.geomapapp.org/) and Virtual Ocean ( http://www.virtualocean.org/) earth science exploration and visualization applications.

  11. U

    Archive of Boomer Subbottom Data Collected During USGS Cruise SEAX 96004,...

    • data.usgs.gov
    • search.dataone.org
    • +4more
    Updated Dec 19, 2024
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    Bill Schwab (2024). Archive of Boomer Subbottom Data Collected During USGS Cruise SEAX 96004, New York Bight, 1 May - 9 June, 1996 [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:4f3a34bb-7202-46c4-88d6-2563ffba0024
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    Dataset updated
    Dec 19, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Bill Schwab
    License

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

    Time period covered
    May 1, 1996 - Jun 9, 1997
    Area covered
    New York/New Jersey Bight
    Description

    This DVD-ROM contains digital high resolution seismic reflection data collected during the USGS SEAX 96004 cruise.The coverage is the nearshore of the New York and New Jersey Apex. The seismic-reflection data are stored as SEG-Y standard format that can be read and manipulated by most seismic-processing software. Much of the information specific to the data are contained in the headers of the SEG-Y format files. The file system format is ISO 9660 which can be read with DOS, Unix, and MAC operating systems with the appropriate DVD-ROM driver software installed.

  12. d

    Archive of Digital Boomer Seismic Reflection Data Collected During USGS...

    • catalog.data.gov
    • data.usgs.gov
    • +3more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Archive of Digital Boomer Seismic Reflection Data Collected During USGS Field Activities 95LCA03 and 96LCA02 in the Peace River of West-Central Florida, 1995 and 1996 [Dataset]. https://catalog.data.gov/dataset/archive-of-digital-boomer-seismic-reflection-data-collected-during-usgs-field-activities-9-9aa35
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Peace River, Central Florida, Florida
    Description

    In October and November of 1995 and February of 1996, the U.S. Geological Survey, in cooperation with the Southwest Florida Water Management District, conducted geophysical surveys of the Peace River in west-central Florida from east of Bartow to west of Arcadia. This report serves as an archive of unprocessed digital boomer seismic reflection data, trackline maps, navigation files, GIS files, Field Activity Collection System (FACS) logs, observers' logbooks, and formal FGDC metadata. Filtered and gained digital images of the seismic profiles are also provided. The archived trace data are in standard Society of Exploration Geophysicists (SEG) SEG-Y format (Barry and others, 1975) and may be downloaded and processed with commercial or public domain software such as Seismic Unix (SU). Example SU processing scripts and USGS software for viewing the SEG-Y files (Zihlman, 1992) are also provided. For more information on the seismic surveys see http://walrus.wr.usgs.gov/infobank/j/j395fl/html/j-3-95-fl.meta.html and http://walrus.wr.usgs.gov/infobank/j/j296fl/html/j-2-96-fl.meta.html These data are also available via GeoMapApp (http://www.geomapapp.org/) and Virtual Ocean ( http://www.virtualocean.org/) earth science exploration and visualization applications.

  13. d

    Archive of Boomer Seismic Reflection Data Collected During USGS Cruise...

    • catalog.data.gov
    • search.dataone.org
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Archive of Boomer Seismic Reflection Data Collected During USGS Cruise 96CCT01, Nearshore South Central South Carolina Coast, June 26 - July 1, 1996 [Dataset]. https://catalog.data.gov/dataset/archive-of-boomer-seismic-reflection-data-collected-during-usgs-cruise-96cct01-nearshore-s
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    This archive consists of marine seismic reflection profile data collected in four survey areas from southeast of Charleston Harbor to the mouth of the North Edisto River of South Carolina. These data were acquired June 26 - July 1, 1996, aboard the R/V G.K. Gilbert. Included here are data in a variety of formats including binary, American Standard Code for Information Interchange (ASCII), Hyper Text Markup Language (HTML), Portable Document Format (PDF), Rich Text Format (RTF), Graphics Interchange Format (GIF) and Joint Photographic Experts Group (JPEG) images, and shapefiles. Binary data are in Society of Exploration Geophysicists (SEG) SEG-Y format and may be downloaded for further processing or display. Reference maps and GIF images of the profiles may be viewed with a web browser. The Geographic Information Systems (GIS) map documents provided were created with Environmental Systems Research Institute (ESRI) GIS software ArcView 3.2 and 8.1. For more information on the seismic surveys see http://walrus.wr.usgs.gov/infobank/g/g196sr/html/g-1-96-sr.meta.html These data are also available via GeoMapApp (http://www.geomapapp.org/) and Virtual Ocean ( http://www.virtualocean.org/) earth science exploration and visualization applications.

  14. d

    Data from: Archive of Boomer and Sparker Data Collected During USGS Cruise...

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Archive of Boomer and Sparker Data Collected During USGS Cruise DIAN 97032 Long Island, NY Inner Shelf -- Fire Island, 24 September - 19 October, 1997 [Dataset]. https://catalog.data.gov/dataset/archive-of-boomer-and-sparker-data-collected-during-usgs-cruise-dian-97032-long-island-ny-
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Long Island, Fire Island, New York
    Description

    This CD-ROM contains digital high resolution seismic reflection data collected during the USGS Diane G 97032 cruise. The coverage is the nearshore of Long Island, NY in the vicinity of Fire Island. The seismic-reflection data are stored as SEG-Y standard format that can be read and manipulated by most seismic-processing software. Much of the information specific to the data are contained in the headers of the SEG-Y format files. The file system format is ISO 9660 which can be read with DOS, Unix, and MAC operating systems with the appropriate CD-ROM driver software installed.

  15. d

    Archive of Digital Boomer Seismic Reflection Data Collected During USGS...

    • catalog.data.gov
    • data.usgs.gov
    • +4more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Archive of Digital Boomer Seismic Reflection Data Collected During USGS Cruises 94GFP01, 95GFP01, 96GFP01, 97GFP01, and 98GFP02 in Lakes Pontchartrain, Borgne, and Maurepas, Louisiana, 1994-1998 [Dataset]. https://catalog.data.gov/dataset/archive-of-digital-boomer-seismic-reflection-data-collected-during-usgs-cruises-94gfp-1994
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Maurepas, Lake Pontchartrain, Louisiana
    Description

    The U.S. Geological Survey, in cooperation with the University of New Orleans, the Lake Pontchartrain Basin Foundation, the National Oceanic and Atmospheric Administration, the Coalition to Restore Coastal Louisiana, the U.S. Army Corps of Engineers, the Environmental Protection Agency, and the University of Georgia, conducted five geophysical surveys of Lakes Pontchartrain, Borgne, and Maurepas in Louisiana from 1994 to 1998. This report serves as an archive of unprocessed digital boomer seismic reflection data, trackline maps, navigation files, observers' logbooks, GIS information, and formal FGDC metadata. In addition, a filtered and gained GIF image of each seismic profile is provided. The archived trace data are in standard Society of Exploration Geophysicists (SEG) SEG-Y format (Barry and others, 1975) and may be downloaded and processed with commercial or public domain software such as Seismic Unix (SU). Examples of SU processing scripts and in-house (USGS) software for viewing SEG-Y headers (Zihlman, 1992) are also provided. Processed profile images, trackline maps, navigation files, Field Activity Collection System (FACS) logs, and formal metadata may be viewed with a web browser, and scanned handwritten logbooks may be viewed with Adobe Reader. For more information on the seismic surveys see http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=1994-030-FA , http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=1995-031-FA , http://walrus.wr.usgs.gov/infobank/g/g196la/html/g-1-96-la.meta.html , http://walrus.wr.usgs.gov/infobank/g/g297la/html/g-2-97-la.meta.html , and http://walrus.wr.usgs.gov/infobank/g/g298la/html/g-2-98-la.meta.html These data are also available via GeoMapApp (http://www.geomapapp.org/) and Virtual Ocean ( http://www.virtualocean.org/) earth science exploration and visualization applications.

  16. d

    Archive of Digital Boomer Seismic Reflection Data Collected Offshore...

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Archive of Digital Boomer Seismic Reflection Data Collected Offshore East-Central Florida during USGS Cruises 96FGS01 and 97FGS01 in November of 1996 and May of 1997 [Dataset]. https://catalog.data.gov/dataset/archive-of-digital-boomer-seismic-reflection-data-collected-offshore-east-central-florida-
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    In November of 1996 and May of 1997, the U.S. Geological Survey (USGS), in cooperation with the Florida Geological Survey (FGS), conducted geophysical surveys of the shallow geologic framework of the continental shelf offshore east-central Florida from Cape Canaveral to Sebastian Inlet. This report serves as an archive of unprocessed digital boomer seismic reflection data, navigation files, trackline maps, GIS files, FACS logs, and FGDC metadata. Filtered and gained digital images of the seismic profiles are also provided. The archived trace data are in standard Society of Exploration Geophysicists SEG Y format (rev. 0) (Barry and others, 1975) and may be downloaded and processed with commercial or public domain software such as Seismic Unix (SU). Example SU processing scripts and USGS software for viewing the SEG Y files (Zihlman, 1992) are also provided. These data are also available for viewing using GeoMapApp (http://www.geomapapp.org/) and Virtual Ocean (http://www.virtualocean.org/) multi-platform open source software. In addition, the SEG Y files can also be downloaded from the USGS Coastal and Marine Geoscience Data System (http://cmgds.marine.usgs.gov).

  17. Instagram users in the United Kingdom 2019-2028

    • statista.com
    Updated Nov 22, 2024
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    Statista Research Department (2024). Instagram users in the United Kingdom 2019-2028 [Dataset]. https://www.statista.com/topics/3236/social-media-usage-in-the-uk/
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    Dataset updated
    Nov 22, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United Kingdom
    Description

    The number of Instagram users in the United Kingdom was forecast to continuously increase between 2024 and 2028 by in total 2.1 million users (+7.02 percent). After the ninth consecutive increasing year, the Instagram user base is estimated to reach 32 million users and therefore a new peak in 2028. Notably, the number of Instagram users of was continuously increasing over the past years.User figures, shown here with regards to the platform instagram, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

  18. d

    Boomer seismic trackline data from USGS cruise 1999-045-FA along the inner...

    • catalog.data.gov
    • dataone.org
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Boomer seismic trackline data from USGS cruise 1999-045-FA along the inner continental shelf of northern North Carolina (isb1999045_tracklines.shp) [Dataset]. https://catalog.data.gov/dataset/boomer-seismic-trackline-data-from-usgs-cruise-1999-045-fa-along-the-inner-continental-she
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    North Carolina
    Description

    The northeastern North Carolina coastal system, from False Cape, Virginia, to Cape Lookout, North Carolina, has been studied by a cooperative research program that mapped the Quaternary geologic framework of the estuaries, barrier islands, and inner continental shelf. This information provides a basis to understand the linkage between geologic framework, physical processes, and coastal evolution at time scales from storm events to millennia. The study area attracts significant tourism to its parks and beaches, contains a number of coastal communities, and supports a local fishing industry, all of which are impacted by coastal change. Knowledge derived from this research program can be used to mitigate hazards and facilitate effective management of this dynamic coastal system. This regional mapping project produced spatial datasets of high-resolution geophysical (bathymetry, backscatter intensity, and seismic reflection) and sedimentary (core and grab-sample) data. The high-resolution geophysical data were collected during numerous surveys within the back-barrier estuarine system, along the barrier island complex, in the nearshore, and along the inner continental shelf. Sediment cores were taken on the mainland and along the barrier islands, and both cores and grab samples were taken on the inner shelf. Data collection was a collaborative effort between the U.S. Geological Survey (USGS) and several other institutions including East Carolina University (ECU), the North Carolina Geological Survey, and the Virginia Institute of Marine Science (VIMS). The high-resolution geophysical data of the inner continental shelf were collected during six separate surveys conducted between 1999 and 2004 (four USGS surveys north of Cape Hatteras: 1999-045-FA, 2001-005-FA, 2002-012-FA, 2002-013-FA, and two USGS surveys south of Cape Hatteras: 2003-003-FA and 2004-003-FA) and cover more than 2600 square kilometers of the inner shelf. Single-beam bathymetry data were collected north of Cape Hatteras in 1999 using a Furuno fathometer. Swath bathymetry data were collected on all other inner shelf surveys using a SEA, Ltd. SwathPLUS 234-kHz bathymetric sonar. Chirp seismic data as well as sidescan-sonar data were collected with a Teledyne Benthos (Datasonics) SIS-1000 north of Cape Hatteras along with boomer seismic reflection data (cruises 1999-045-FA, 2001-005-FA, 2002-012-FA and 2002-013-FA). An Edgetech 512i was used to collect chirp seismic data south of Cape Hatteras (cruises 2003-003-FA and 2004-003-FA) along with a Klein 3000 sidescan-sonar system. Sediment samples were collected with a Van Veen grab sampler during four of the USGS surveys (1999-045-FA, 2001-005-FA, 2002-013-FA, and 2004-003-FA). Additional sediment core data along the inner shelf are provided from previously published studies. A cooperative study, between the North Carolina Geological Survey and the Minerals Management Service (MMS cores), collected vibracores along the inner continental shelf offshore of Nags Head, Kill Devils Hills and Kitty Hawk, North Carolina in 1996. The U.S. Army Corps of Engineers collected vibracores along the inner shelf offshore of Dare County in August 1995 (NDC cores) and July-August 1995 (SNL cores). These cores are curated by the North Carolina Geological Survey and were used as part of the ground validation process in this study. Nearshore geophysical and core data were collected by the Virginia Institute of Marine Science. The nearshore is defined here as the region between the 10-m isobath and the shoreline. High-resolution bathymetry, backscatter intensity, and chirp seismic data were collected between June 2002 and May 2004. Vibracore samples were collected in May and July 2005. Shallow subsurface geophysical data were acquired along the Outer Banks barrier islands using a ground-penetrating radar (GPR) system. Data were collected by East Carolina University from 2002 to 2005. Rotasonic cores (OBX cores) from five drilling operations were collected from 2002 to 2006 by the North Carolina Geological Survey as part of the cooperative study with the USGS. These cores are distributed throughout the Outer Banks as well as the mainland. The USGS collected seismic data for the Quaternary section within the Albemarle-Pamlico estuarine system between 2001 and 2004 during six surveys (2001-013-FA, 2002-015-FA, 2003-005-FA, 2003-042-FA, 2004-005-FA, and 2004-006-FA). These surveys used Geopulse Boomer and Knudsen Engineering Limited (KEL) 320BR Chirp systems, except cruise 2003-042-FA, which used an Edgetech 424 Chirp and a boomer system. The study area includes Albemarle Sound and selected tributary estuaries such as the South, Pungo, Alligator, and Pasquotank Rivers; Pamlico Sound and trunk estuaries including the Neuse and Pamlico Rivers; and back-barrier sounds including Currituck, Croatan, Roanoke, Core, and Bogue.

  19. d

    Archive of Digital Boomer and Chirp Seismic Reflection Data Collected During...

    • catalog.data.gov
    • data.usgs.gov
    • +4more
    Updated Aug 21, 2024
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    U.S. Geological Survey (2024). Archive of Digital Boomer and Chirp Seismic Reflection Data Collected During USGS Cruise 06FSH03 Offshore of Fort Lauderdale, Florida, September 2006 [Dataset]. https://catalog.data.gov/dataset/archive-of-digital-boomer-and-chirp-seismic-reflection-data-collected-during-usgs-cruise-0-43026
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    Dataset updated
    Aug 21, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Fort Lauderdale, Florida
    Description

    In September of 2006, the U.S. Geological Survey conducted geophysical surveys offshore of Fort Lauderdale, FL. This report serves as an archive of unprocessed digital boomer and Chirp seismic reflection data, trackline maps, navigation files, GIS information, Field Activity Collection System (FACS) logs, observer's logbook, and formal FGDC metadata. Filtered and gained digital images of the seismic profiles are also provided. The archived trace data are in standard Society of Exploration Geophysicists (SEG) SEG-Y format (Barry and others, 1975) and may be downloaded and processed with commercial or public domain software such as Seismic Unix (SU). Example SU processing scripts and USGS software for viewing the SEG-Y files (Zihlman, 1992) are also provided. For more information on the seismic surveys see http://walrus.wr.usgs.gov/infobank/c/c106fl/html/c-1-06-fl.meta.html These data are also available via GeoMapApp (http://www.geomapapp.org/) and Virtual Ocean (http://www.virtualocean.org/) earth science exploration and visualization applications

  20. d

    Boomer seismic tracklines from USGS cruise 2004-006-FA from Pamlico Sound,...

    • catalog.data.gov
    • search.dataone.org
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Boomer seismic tracklines from USGS cruise 2004-006-FA from Pamlico Sound, North Carolina (bbb2004006_tracklines.shp) [Dataset]. https://catalog.data.gov/dataset/boomer-seismic-tracklines-from-usgs-cruise-2004-006-fa-from-pamlico-sound-north-carolina-b
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Pamlico Sound, North Carolina
    Description

    The northeastern North Carolina coastal system, from False Cape, Virginia, to Cape Lookout, North Carolina, has been studied by a cooperative research program that mapped the Quaternary geologic framework of the estuaries, barrier islands, and inner continental shelf. This information provides a basis to understand the linkage between geologic framework, physical processes, and coastal evolution at time scales from storm events to millennia. The study area attracts significant tourism to its parks and beaches, contains a number of coastal communities, and supports a local fishing industry, all of which are impacted by coastal change. Knowledge derived from this research program can be used to mitigate hazards and facilitate effective management of this dynamic coastal system. This regional mapping project produced spatial datasets of high-resolution geophysical (bathymetry, backscatter intensity, and seismic reflection) and sedimentary (core and grab-sample) data. The high-resolution geophysical data were collected during numerous surveys within the back-barrier estuarine system, along the barrier island complex, in the nearshore, and along the inner continental shelf. Sediment cores were taken on the mainland and along the barrier islands, and both cores and grab samples were taken on the inner shelf. Data collection was a collaborative effort between the U.S. Geological Survey (USGS) and several other institutions including East Carolina University (ECU), the North Carolina Geological Survey, and the Virginia Institute of Marine Science (VIMS). The high-resolution geophysical data of the inner continental shelf were collected during six separate surveys conducted between 1999 and 2004 (four USGS surveys north of Cape Hatteras: 1999-045-FA, 2001-005-FA, 2002-012-FA, 2002-013-FA, and two USGS surveys south of Cape Hatteras: 2003-003-FA and 2004-003-FA) and cover more than 2600 square kilometers of the inner shelf. Single-beam bathymetry data were collected north of Cape Hatteras in 1999 using a Furuno fathometer. Swath bathymetry data were collected on all other inner shelf surveys using a SEA, Ltd. SwathPLUS 234-kHz bathymetric sonar. Chirp seismic data as well as sidescan-sonar data were collected with a Teledyne Benthos (Datasonics) SIS-1000 north of Cape Hatteras along with boomer seismic reflection data (cruises 1999-045-FA, 2001-005-FA, 2002-012-FA and 2002-013-FA). An Edgetech 512i was used to collect chirp seismic data south of Cape Hatteras (cruises 2003-003-FA and 2004-003-FA) along with a Klein 3000 sidescan-sonar system. Sediment samples were collected with a Van Veen grab sampler during four of the USGS surveys (1999-045-FA, 2001-005-FA, 2002-013-FA, and 2004-003-FA). Additional sediment core data along the inner shelf are provided from previously published studies. A cooperative study, between the North Carolina Geological Survey and the Minerals Management Service (MMS cores), collected vibracores along the inner continental shelf offshore of Nags Head, Kill Devils Hills and Kitty Hawk, North Carolina in 1996. The U.S. Army Corps of Engineers collected vibracores along the inner shelf offshore of Dare County in August 1995 (NDC cores) and July-August 1995 (SNL cores). These cores are curated by the North Carolina Geological Survey and were used as part of the ground validation process in this study. Nearshore geophysical and core data were collected by the Virginia Institute of Marine Science. The nearshore is defined here as the region between the 10-m isobath and the shoreline. High-resolution bathymetry, backscatter intensity, and chirp seismic data were collected between June 2002 and May 2004. Vibracore samples were collected in May and July 2005. Shallow subsurface geophysical data were acquired along the Outer Banks barrier islands using a ground-penetrating radar (GPR) system. Data were collected by East Carolina University from 2002 to 2005. Rotasonic cores (OBX cores) from five drilling operations were collected from 2002 to 2006 by the North Carolina Geological Survey as part of the cooperative study with the USGS. These cores are distributed throughout the Outer Banks as well as the mainland. The USGS collected seismic data for the Quaternary section within the Albemarle-Pamlico estuarine system between 2001 and 2004 during six surveys (2001-013-FA, 2002-015-FA, 2003-005-FA, 2003-042-FA, 2004-005-FA, and 2004-006-FA). These surveys used Geopulse Boomer and Knudsen Engineering Limited (KEL) 320BR Chirp systems, except cruise 2003-042-FA, which used an Edgetech 424 Chirp and a boomer system. The study area includes Albemarle Sound and selected tributary estuaries such as the South, Pungo, Alligator, and Pasquotank Rivers; Pamlico Sound and trunk estuaries including the Neuse and Pamlico Rivers; and back-barrier sounds including Currituck, Croatan, Roanoke, Core, and Bogue.

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Maik H. Wolters; Maik H. Wolters (2024). How the baby boomers' retirement wave distorts model‐based output gap estimates (replication data) [Dataset]. https://jda-test.zbw.eu/dataset/how-the-baby-boomers-retirement-wave-distorts-modelbased-output-gap-estimates

How the baby boomers' retirement wave distorts model‐based output gap estimates (replication data)

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csv(42907), xlsx(172150), csv(18744), txt(4177), pdf(110600), xlsx(135640)Available download formats
Dataset updated
Jul 22, 2024
Dataset provided by
ZBW - Leibniz Informationszentrum Wirtschaft
Authors
Maik H. Wolters; Maik H. Wolters
License

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

Description

This paper illustrates, based on an example, the importance of consistency between empirical measurement and the concept of variables in estimated macroeconomic models. Since standard New Keynesian models do not account for demographic trends and sectoral shifts, I propose adjusting hours worked per capita used to estimate such models accordingly to enhance the consistency between the data and the model. Without this adjustment, low-frequency shifts in hours lead to unreasonable trends in the output gap, caused by the close link between hours and the output gap in such models. The retirement wave of baby boomers, for example, lowers US aggregate hours per capita, which leads to erroneous permanently negative output gap estimates following the Great Recession. After correcting hours for changes in the age composition, the estimated output gap closes gradually instead following the years after the Great Recession.

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