100+ datasets found
  1. Graduate school tuition at Harvard University 2007-2021

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Graduate school tuition at Harvard University 2007-2021 [Dataset]. https://www.statista.com/statistics/939702/ivy-league-graduate-school-tuition-harvard-university/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the tuition at Harvard University's Graduate School of Arts and Sciences from the academic year 2008 to the academic year 2021. During the academic year 2020 to 2021, tuition for the Graduate School of Arts and Sciences was ****** U.S. dollars.

  2. A

    ‘Harvard Tuition’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Nov 21, 2021
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2021). ‘Harvard Tuition’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-harvard-tuition-95c3/f028ab71/?iid=001-496&v=presentation
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    Dataset updated
    Nov 21, 2021
    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 ‘Harvard Tuition’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/harvard-university/harvard-tuition on 12 November 2021.

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

    Harvard tuition data since 1985, for both the undergraduate College and the graduate and professional schools.

    The Data

    This dataset consists of two files: tuition_graduate.csv and undergraduate_package.csv, which contain the tuition and fees data for the graduate schools and undergraduate College, respectively.

    tuition_graduate.csv contains the following fields:

    • academic.year: the academic year, between 1985 and 2017
    • school: the name of the graduate or professional school; one of GSAS, Business (MBA), Design, Divinity, Education, Government, Law, Medical/Dental, Public Health (1-Year MPH)
    • cost: the cost of tuition at a given school in a given year

    undergraduate_package.csv contains the following fields:

    • academic.year: the academic year, between 1985 and 2017
    • component: the component of undergraduate fees; one of Tuition,*Health Services Fee*,*Student Services Fee*,*Room*,*Board*,*Total*
    • cost: the cost of the component; or, if the component is Total, the sum of the costs of the other components in that year

    Acknowledgements

    All of the data in this dataset comes from The Harvard Open Data Dataverse. Specific citations are as follows:

    for the graduate tuition data:
    Harvard Financial Aid Office, 2015, "Harvard graduate school tuition", doi:10.7910/DVN/LV0YSQ, Harvard Dataverse, V1

    for the undergraduate tuition and fees data:
    Harvard Financial Aid, 2015, "Harvard College Tuition", doi:10.7910/DVN/MSS2BE, Harvard Dataverse, V1 [UNF:6:FyXNny+KBTgLX+DzewzEfg==]

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

  3. H

    Data on Leadership skills and qualities developed by master degree students

    • dataverse.harvard.edu
    Updated Jun 24, 2021
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    Naresh Kumar (2021). Data on Leadership skills and qualities developed by master degree students [Dataset]. http://doi.org/10.7910/DVN/ST7BMT
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 24, 2021
    Dataset provided by
    Harvard Dataverse
    Authors
    Naresh Kumar
    License

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

    Description

    Data on Leadership skills and qualities developed by master degree students

  4. H

    Property Assessment Data for Boston, MA v. 2020

    • dataverse.harvard.edu
    Updated Aug 26, 2020
    + more versions
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    Saina Sheini; Michael Shields; Alina Ristea; Daniel T. O'Brien (2020). Property Assessment Data for Boston, MA v. 2020 [Dataset]. http://doi.org/10.7910/DVN/O2ADLG
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 26, 2020
    Dataset provided by
    Harvard Dataverse
    Authors
    Saina Sheini; Michael Shields; Alina Ristea; Daniel T. O'Brien
    License

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

    Area covered
    Boston, Massachusetts
    Description

    This dataset details the various cross-sectional and longitudinal data files of the City of Boston's property assessment data. These data were curated and added to by the Boston Area Research Initiative. The corresponding documentation details information about the various attributes and measures within these data files. (2020-08-11)

  5. o

    Harvard Street Cross Street Data in Halifax, MA

    • ownerly.com
    Updated Dec 11, 2021
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    Ownerly (2021). Harvard Street Cross Street Data in Halifax, MA [Dataset]. https://www.ownerly.com/ma/halifax/harvard-st-home-details
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    Dataset updated
    Dec 11, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Halifax, Massachusetts
    Description

    This dataset provides information about the number of properties, residents, and average property values for Harvard Street cross streets in Halifax, MA.

  6. o

    Stow Road Cross Street Data in Harvard, MA

    • ownerly.com
    Updated Mar 8, 2022
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    Ownerly (2022). Stow Road Cross Street Data in Harvard, MA [Dataset]. https://www.ownerly.com/ma/harvard/stow-rd-home-details
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    Dataset updated
    Mar 8, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    Stow Road, Harvard, Massachusetts
    Description

    This dataset provides information about the number of properties, residents, and average property values for Stow Road cross streets in Harvard, MA.

  7. H

    SOLSTICE project

    • dataverse.harvard.edu
    Updated Feb 6, 2025
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    Elena Naumova; Yutong Chen; Ryan Simpson (2025). SOLSTICE project [Dataset]. http://doi.org/10.7910/DVN/OM2XWT
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 6, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Elena Naumova; Yutong Chen; Ryan Simpson
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/OM2XWThttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/OM2XWT

    Description

    The SOLution-oriented, STudent-Initiated, Computationally-Enriched (SOLSTICE) NSF Award Details approach is a teaching method for improving graduate student training in data-intensive fields. The approach seeks to enhance students' knowledge, skills, and attitudes in data sciences to solve complex problems, think critically, and effectively communicate across inter-generational, trans-disciplinary research teams. Using a data-intensive, project-based learning approach, graduate students work collaboratively to design, evaluate, and disseminate research in team environments. As data scientists, these students will learn how to pose research questions, translate information into potential actions, develop data collection, analysis, and visualization schemes and protocols, and exchange information, data methods, and results tailored to various audiences. Educational resources developed during this study will then be available to guide future faculty development and training processes. Read more here: Visit Naumova Labs' SOLSTICE Information Page

  8. o

    Harris Lane Cross Street Data in Harvard, MA

    • ownerly.com
    Updated Dec 11, 2021
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    Ownerly (2021). Harris Lane Cross Street Data in Harvard, MA [Dataset]. https://www.ownerly.com/ma/harvard/harris-ln-home-details
    Explore at:
    Dataset updated
    Dec 11, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Harvard, Massachusetts
    Description

    This dataset provides information about the number of properties, residents, and average property values for Harris Lane cross streets in Harvard, MA.

  9. H

    Replication Data for: 'Asset Specificity of Nonfinancial Firms'

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Dec 16, 2022
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    Amir Kermani; Yueran Ma (2022). Replication Data for: 'Asset Specificity of Nonfinancial Firms' [Dataset]. http://doi.org/10.7910/DVN/FZGQBX
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 16, 2022
    Dataset provided by
    Harvard Dataverse
    Authors
    Amir Kermani; Yueran Ma
    License

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

    Description

    The data and programs replicate tables and figures from "Asset Specificity of Nonfinancial Firms", by Kermani and Ma. Please see the readme file for additional details.

  10. e

    Data from: Harvard Forest site, station Plymouth County, MA (FIPS 25023),...

    • portal.edirepository.org
    csv
    Updated 2013
    + more versions
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    Ted Gragson; Michael R. Haines; Nichole Rosamilia; Christopher Boone (2013). Harvard Forest site, station Plymouth County, MA (FIPS 25023), study of population employed in service (percent of total) in units of percent on a yearly timescale [Dataset]. http://doi.org/10.6073/pasta/0bf9108faef4447e5e155d4a6aae30f7
    Explore at:
    csvAvailable download formats
    Dataset updated
    2013
    Dataset provided by
    EDI
    Authors
    Ted Gragson; Michael R. Haines; Nichole Rosamilia; Christopher Boone
    Time period covered
    1940 - 2000
    Area covered
    Variables measured
    YEAR, S_DEV, S_ERR, ID_OBS, N_TRACE, N_INVALID, N_MISSING, N_EXPECTED, N_OBSERVED, N_ESTIMATED, and 3 more
    Description

    The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities.

    Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office.

    The following dataset from Harvard Forest (HFR) contains population employed in service (percent of total) measurements in percent units and were aggregated to a yearly timescale.

  11. H

    Replication Data for: study MS 200711897A

    • dataverse.harvard.edu
    Updated Aug 11, 2020
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    Elliott Ash; Sergio Galletta; Dominik Hangartner; Yotam Margalit; Matteo Pinna (2020). Replication Data for: study MS 200711897A [Dataset]. http://doi.org/10.7910/DVN/XEZFQP
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 11, 2020
    Dataset provided by
    Harvard Dataverse
    Authors
    Elliott Ash; Sergio Galletta; Dominik Hangartner; Yotam Margalit; Matteo Pinna
    License

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

    Description

    Replication data and code for study MS 200711897A

  12. o

    Harvard Lane Cross Street Data in Wrentham, MA

    • ownerly.com
    Updated Feb 3, 2022
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    Ownerly (2022). Harvard Lane Cross Street Data in Wrentham, MA [Dataset]. https://www.ownerly.com/ma/wrentham/harvard-ln-home-details
    Explore at:
    Dataset updated
    Feb 3, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    Wrentham, Harvard Lane, Massachusetts
    Description

    This dataset provides information about the number of properties, residents, and average property values for Harvard Lane cross streets in Wrentham, MA.

  13. Data from: Harvard Forest site, station Plymouth County, MA (FIPS 25023),...

    • search.dataone.org
    • portal.edirepository.org
    Updated Mar 11, 2015
    + more versions
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    Nichole Rosamilia; Christopher Boone; Inter-University Consortium for Political and Social Research; Ted Gragson; Michael R. Haines; U.S. Bureau of the Census; EcoTrends Project (2015). Harvard Forest site, station Plymouth County, MA (FIPS 25023), study of human population (total) in units of number on a yearly timescale [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fecotrends%2F8160%2F2
    Explore at:
    Dataset updated
    Mar 11, 2015
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Nichole Rosamilia; Christopher Boone; Inter-University Consortium for Political and Social Research; Ted Gragson; Michael R. Haines; U.S. Bureau of the Census; EcoTrends Project
    Time period covered
    Jan 1, 1790 - Jan 1, 2000
    Area covered
    Variables measured
    YEAR, S_DEV, S_ERR, ID_OBS, N_TRACE, N_INVALID, N_MISSING, N_EXPECTED, N_OBSERVED, N_ESTIMATED, and 3 more
    Description

    The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Harvard Forest (HFR) contains human population (total) measurements in number units and were aggregated to a yearly timescale.

  14. Data from: Harvard Forest site, station Franklin County, MA (FIPS 25011),...

    • search.dataone.org
    • portal.edirepository.org
    Updated Mar 11, 2015
    + more versions
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    U.S. Bureau of the Census; Christopher Boone; Inter-University Consortium for Political and Social Research; Ted Gragson; Michael R. Haines; Nichole Rosamilia; EcoTrends Project (2015). Harvard Forest site, station Franklin County, MA (FIPS 25011), study of human population density in units of numberPerKilometerSquared on a yearly timescale [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fecotrends%2F8093%2F2
    Explore at:
    Dataset updated
    Mar 11, 2015
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    U.S. Bureau of the Census; Christopher Boone; Inter-University Consortium for Political and Social Research; Ted Gragson; Michael R. Haines; Nichole Rosamilia; EcoTrends Project
    Time period covered
    Jan 1, 1880 - Jan 1, 2000
    Area covered
    Variables measured
    YEAR, S_DEV, S_ERR, ID_OBS, N_TRACE, N_INVALID, N_MISSING, N_EXPECTED, N_OBSERVED, N_ESTIMATED, and 3 more
    Description

    The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Harvard Forest (HFR) contains human population density measurements in numberPerKilometerSquared units and were aggregated to a yearly timescale.

  15. Data from: Harvard Forest site, station Hampden County, MA (FIPS 25013),...

    • search.dataone.org
    • portal.edirepository.org
    Updated Mar 11, 2015
    + more versions
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    Ted Gragson; Christopher Boone; Inter-University Consortium for Political and Social Research; Michael R. Haines; U.S. Bureau of the Census; Nichole Rosamilia; EcoTrends Project (2015). Harvard Forest site, station Hampden County, MA (FIPS 25013), study of human population density in units of numberPerKilometerSquared on a yearly timescale [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fecotrends%2F8104%2F2
    Explore at:
    Dataset updated
    Mar 11, 2015
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Ted Gragson; Christopher Boone; Inter-University Consortium for Political and Social Research; Michael R. Haines; U.S. Bureau of the Census; Nichole Rosamilia; EcoTrends Project
    Time period covered
    Jan 1, 1880 - Jan 1, 2000
    Area covered
    Variables measured
    YEAR, S_DEV, S_ERR, ID_OBS, N_TRACE, N_INVALID, N_MISSING, N_EXPECTED, N_OBSERVED, N_ESTIMATED, and 3 more
    Description

    The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Harvard Forest (HFR) contains human population density measurements in numberPerKilometerSquared units and were aggregated to a yearly timescale.

  16. H

    Home Mortgage Disclosure Act (HMDA) Aggregation Master Data

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Sep 18, 2024
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    Federal Financial Institutions Examination Council (2024). Home Mortgage Disclosure Act (HMDA) Aggregation Master Data [Dataset]. http://doi.org/10.7910/DVN/573BWW
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 18, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Federal Financial Institutions Examination Council
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.6/customlicense?persistentId=doi:10.7910/DVN/573BWWhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.6/customlicense?persistentId=doi:10.7910/DVN/573BWW

    Time period covered
    1981 - 1989
    Area covered
    United States
    Description

    The Pre-1990 HMDA Aggregation Data were prepared annually during this period by the FFIEC on behalf of institutions reporting HMDA data. The Aggregation Data consists of home purchase and home improvement loans that a depository institution originated or purchased during each calendar year. The collected HMDA data were individually aggregated up to the tract level by the reporting depository institution and submitted accordingly to the FFIEC. Individual records are the summary of loan activity for the specified respondent for the indicated census tract except when the census tract numbers were either 888888 or 999999. The 888888 tract records are the sum of all loan activity by the reporter outside of the MSA being reported, but not appearing in any other MSA report. The 999999 tract records are the consolidated county summary data for loans made in untracted counties or counties with 1980 total population less than 30,000. The 1988 and 1989 Aggregation Data files include aggregated data from nondepository institutions, specifically mortgage banking subsidiaries of bank holding companies.

  17. H

    Data from: Experiences with a graduate course on sex and gender medicine in...

    • dataverse.harvard.edu
    • datasetcatalog.nlm.nih.gov
    Updated May 16, 2018
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    Seon Mee Park; Nayoung Kim; Hee Young Paik (2018). Experiences with a graduate course on sex and gender medicine in Korea [Dataset]. http://doi.org/10.7910/DVN/73YOBZ
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 16, 2018
    Dataset provided by
    Harvard Dataverse
    Authors
    Seon Mee Park; Nayoung Kim; Hee Young Paik
    License

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

    Area covered
    South Korea
    Description

    We developed an SGME program as a graduate course, named ‘Sex and Gender Aspects in Biomedical Research.’ The present study reports our experiences with SGME and presents an assessment of the impacts of this course on attendees’ knowledge of and attitudes toward SGM. This was a comparison study between pre-responses and post-responses after an educational intervention. Twelve students and 10 professors of Seoul National University College of Medicine participated in this study from March 3, 2017 to June 16, 2017. Professors were recruited on a volunteer basis, including 8 professors in clinical medicine, 1 in pharmacology, and the director of ‘Center for Gendered Innovations in Science and Technology Research, Korea Federation of Women’'s Science & Technology Associations.’ The professors taught 12 students and participated as subjects of the survey. The survey tool was adopted from Chin et al. and somewhat modified. The survey instrument consisted of 4 items with a 5-point Likert scale and 2 multiple choice questions

  18. d

    Bullying MS Data

    • dataone.org
    • dataverse.harvard.edu
    Updated Nov 22, 2023
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    Bellotti, Jennifer (2023). Bullying MS Data [Dataset]. http://doi.org/10.7910/DVN/C7T2RB
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    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Bellotti, Jennifer
    Description

    These data are from a manuscript on bullying reviewing bullying literature across the past ten years in psychological and behavioral literature.

  19. o

    Park Lane Cross Street Data in Harvard, MA

    • ownerly.com
    Updated Dec 10, 2021
    + more versions
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    Ownerly (2021). Park Lane Cross Street Data in Harvard, MA [Dataset]. https://www.ownerly.com/ma/harvard/park-ln-home-details
    Explore at:
    Dataset updated
    Dec 10, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Harvard, Massachusetts
    Description

    This dataset provides information about the number of properties, residents, and average property values for Park Lane cross streets in Harvard, MA.

  20. H

    Research Data Management Project Feasability Study

    • dataverse.harvard.edu
    Updated Jun 20, 2012
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    Patrick Antle (2012). Research Data Management Project Feasability Study [Dataset]. http://doi.org/10.7910/DVN/PTAQQZ
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 20, 2012
    Dataset provided by
    Harvard Dataverse
    Authors
    Patrick Antle
    License

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

    Time period covered
    2011 - 2012
    Area covered
    United States, Massachusetts
    Description

    This study is an assessment of the dataverse network with regard to its effectiveness in GC/MS data.

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Statista (2025). Graduate school tuition at Harvard University 2007-2021 [Dataset]. https://www.statista.com/statistics/939702/ivy-league-graduate-school-tuition-harvard-university/
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Graduate school tuition at Harvard University 2007-2021

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Dataset updated
Jul 10, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

This statistic shows the tuition at Harvard University's Graduate School of Arts and Sciences from the academic year 2008 to the academic year 2021. During the academic year 2020 to 2021, tuition for the Graduate School of Arts and Sciences was ****** U.S. dollars.

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