87 datasets found
  1. m

    Positive and Adverse Childhood Experiences (PCEs & ACEs) Data

    • mass.gov
    Updated Jan 9, 2024
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    Department of Public Health (2024). Positive and Adverse Childhood Experiences (PCEs & ACEs) Data [Dataset]. https://www.mass.gov/info-details/positive-and-adverse-childhood-experiences-pces-aces-data
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    Dataset updated
    Jan 9, 2024
    Dataset provided by
    Department of Public Health
    Bureau of Community Health and Prevention
    Population Health Information Tool
    Area covered
    Massachusetts
    Description

    Find information on Positive Childhood Experiences (PCEs) and Adverse Childhood Experiences (ACEs) survey data of Massachusetts residents.

  2. ACES TIMING DATA V1

    • data.staging.idas-ds1.appdat.jsc.nasa.gov
    • data.nasa.gov
    • +4more
    Updated Feb 18, 2025
    + more versions
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    data.staging.idas-ds1.appdat.jsc.nasa.gov (2025). ACES TIMING DATA V1 [Dataset]. https://data.staging.idas-ds1.appdat.jsc.nasa.gov/dataset/aces-timing-data-v1
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    Dataset updated
    Feb 18, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August or 2002, ACES researchers overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from its birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of timing data used for the experiment. When used it provides: syncclock_time = time found at the syncclock (VSI-SYnCCLOCK-32) in seconds from first file name, syncclock_m_time = time found at the syncclock (VSI-SYnCCLOCK-32) in Matlab dateform format, system_time = system time in seconds from first file name, system_m_time = system time in dateform format, gps_time = time found at the GPS unit in seconds from first file name, gps_m_time = time found at GPS unit in dateform, cmos_time = time found at the computer CMOS in seconds from first file name, cmos_m_time = time found at the computer CMOS in dateform.

  3. A

    ACEs Aware Clinician Listing

    • data.amerigeoss.org
    • data.chhs.ca.gov
    • +7more
    Updated May 20, 2022
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    United States (2022). ACEs Aware Clinician Listing [Dataset]. https://data.amerigeoss.org/dataset/0be1e011-dd72-4d10-953e-97d075624c96
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    url, csv, html, geojson, arcgis geoservices rest api, zip, kml, docAvailable download formats
    Dataset updated
    May 20, 2022
    Dataset provided by
    United States
    Description
    The ACEs Aware Clinician Directory includes a subset of Medi-Cal clinicians who have self-attested to completing a certified ACEs Aware Core Training and opted-in to being added to the ACEs Aware Clinician Directory. These clinicians may receive Medi-Cal payment for providing qualified Adverse Childhood Experience (ACE) screenings.

    The ACEs Aware initiative, a partnership between the Department of Health Care Services (DHCS) and Office of the California Surgeon General, is training and certifying clinicians to administer qualifying ACE screenings. The ACEs Aware Clinician Directory allows Medi-Cal patients and others to find “ACEs Aware” clinicians – those who have self-attested to completing the training and opted-in to being included in this Directory.

    Clinicians who want to be included in the Directory or need to update their information should submit or resubmit the ACEs Clinician Training Attestation form. DHCS does not have information on whether clinicians are accepting new Medi-Cal patients. For more information, please see the “Additional Information” section below and the ACEs Clinician Training Attestation FAQs.
  4. d

    AFSC/ABL: ACES-SHELFZ (Arctic Coastal Ecosystem Survey AND Shelf Habitat and...

    • catalog.data.gov
    • fisheries.noaa.gov
    Updated Apr 1, 2024
    + more versions
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    (Point of Contact, Custodian) (2024). AFSC/ABL: ACES-SHELFZ (Arctic Coastal Ecosystem Survey AND Shelf Habitat and EcoLogy of Fish and Zooplankton) Catch Database [Dataset]. https://catalog.data.gov/dataset/afsc-abl-aces-shelfz-arctic-coastal-ecosystem-survey-and-shelf-habitat-and-ecology-of-fish-and-1
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    Dataset updated
    Apr 1, 2024
    Dataset provided by
    (Point of Contact, Custodian)
    Area covered
    Arctic
    Description

    The objectives of these Arctic nearshore fish surveys is to measure seasonal changes in the distribution, demographics, trophic position and nutritional status of forage fish during the partial and complete ice-free season near Pt. Barrow, along the nearshore Chukchi and Beaufort Seas including Elson Lagoon, Alaska. These data will be related to biological and physical conditions observed near the Chukchi and Beaufort coasts and Elson Lagoon. Arctic Cod (Boreogadus saida), Saffron Cod (Eleginus gracilis), Capelin (Mallotus villosus), Sand Lance (Ammodytes hexapterus), Coregonids and sculpins will serve as the primary forage species targeted in the proposed work. The physical features to be measured include salinity, temperature, current direction and speed, wind direction and speed and bathymetry, but most importantly we seek a better understanding of how weather (wind) would affect the transport through the multi-inlet Elson Lagoon and its relation to coastal currents. Biological features include the community composition, abundance, distribution and quality of zooplankton prey available to forage fish. The catch data in this database include sampling efforts from 3 complimentary studies using similar gear in similar areas: ACES (Arctic Coastal Ecosystem Survey) and SHELFZ (Shelf Habitat and EcoLogy of Fish and Zooplankton), Ecology of Forage Fishes in the Arctic Nearshore. Data will be comparable to NOAAs previous efforts in the nearshore near Pt. Barrow (e.g. Thedinga et al. 2013). Combining these historical data with the proposed work will lead to an improved understanding of the relationship between forage fish and their nearshore habitats during the partial and complete ice-free period. The information developed by this proposed project is needed by those engaged in predicting impacts of climate change, developing oil and gas resources, managing foraging habitat of marine mammals, and planning for increased marine transportation.

  5. ACEs Aware Clinician Directory

    • data.chhs.ca.gov
    • data.ca.gov
    • +1more
    Updated Feb 15, 2024
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    ACEs Aware Clinician Directory [Dataset]. https://data.chhs.ca.gov/dataset/aces-aware-clinician-directory
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    arcgis geoservices rest api, zip, htmlAvailable download formats
    Dataset updated
    Feb 15, 2024
    Dataset provided by
    California Department of Health Care Serviceshttp://www.dhcs.ca.gov/
    Authors
    Department of Health Care Services
    Description

    This is the ACEs Aware Clinician Directory App based on the ACEs Aware Clinician Directory. Use this app to find a subset of Medi-Cal providers who have attested to completing the certified Becoming ACEs Aware in California training, and are eligible to receive Medi-Cal payment for providing qualified ACE screenings. Clinicians listed have also chosen to opt-in to the ACEs Aware Clinician Directory. Listing in the directory data is voluntary.

  6. g

    ACES Aircraft and Mechanical Data V1

    • gimi9.com
    • data.nasa.gov
    • +2more
    + more versions
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    ACES Aircraft and Mechanical Data V1 [Dataset]. https://gimi9.com/dataset/data-gov_aces-aircraft-and-mechanical-data-v1-260f4
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    Description

    The ACES Aircraft and Mechanical Data consist of aircraft (e.g. pitch, roll, yaw) and mechanical (e.g. aircraft engine speed, tail commands, fuel levels) data recorded by the Altus II Unmanned Aerial Vehicle (Altus II UAV) system during the Altus Cumulus Electrification Study (ACES) based at the Naval Air Facility Key West in Florida. ACES aimed to provide extensive observations of the cloud electrification process and its effects by using the Altus II UAV to collect cloud top observations of thunderstorms. The campaign also worked to validate satellite lightning measurements. The Altus II aircraft and mechanical data files are available from July 10 through August 30, 2002 in MATLAB data format (.mat).

  7. v

    Global import data of Aces,buffer

    • volza.com
    csv
    Updated Feb 17, 2025
    + more versions
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    Volza.LLC (2025). Global import data of Aces,buffer [Dataset]. https://www.volza.com/imports-india/india-import-data-of-aces-buffer-from-united-states-of-america
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    csvAvailable download formats
    Dataset updated
    Feb 17, 2025
    Dataset provided by
    Volza.LLC
    License

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

    Variables measured
    Count of importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    138022 Global import shipment records of Aces,buffer with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  8. Respondents Indicating At Least 1 Type of Adverse Childhood Experience (LGHC...

    • data.chhs.ca.gov
    • data.ca.gov
    • +2more
    chart, csv, xlsx, zip
    Updated Aug 29, 2024
    + more versions
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    California Department of Public Health (2024). Respondents Indicating At Least 1 Type of Adverse Childhood Experience (LGHC Indicator) [Dataset]. https://data.chhs.ca.gov/dataset/respondents-indicating-at-least-1-type-of-adverse-childhood-experience-lghc-indicator-04
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    csv, chart, xlsx, zipAvailable download formats
    Dataset updated
    Aug 29, 2024
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    Description

    This is a source dataset for a Let's Get Healthy California indicator at https://letsgethealthy.ca.gov/. The Adverse Childhood Experiences (ACEs) module of the Behavioral Risk Factors Surveillance System (BRFSS) asks respondents questions about eight different traumatic childhood experiences that occurred before the age of 18. These include verbal/emotional abuse, physical abuse, sexual abuse, and negative household situations including the incarceration of an adult, alcohol or drug abuse by an adult, violence between adults, mental illness of a household member, and parental divorce or separation. A cumulative ACEs score is calculated for each respondent by counting the number of these items that a respondent reported experiencing, creating a score ranging from 0 to 8. 11 questions about adverse childhood experiences (ACEs) are condensed into a ordinal scale from 0 to 8 possible ACEs. This indicator shows the prevalence of adults who reported having 1 or more ACEs. However other data cuts are available, e.g., 3 or more ACEs The ACEs module is a very "lagging" indicator capturing childhood experiences retrospectively by asking adults 18+ years of age. Additional limitations include: 1) relies on self-reported information, 2) provides prevalence, not incidence data, 3) bias or measurement error associated with telephone-administered survey of a sample of the population (e.g., response bias, sampling variation), 4) designed to provide state-level population health estimates and does not provide sub-state estimates or estimates by racial sub-groups (e.g., Asian sub-groups) unless multiple years are combined. Because of the changes in the methodology, researchers are advised to avoid comparing data collected before the changes (up to 2010) with data collected from 2011 and onward: http://www.cdc.gov/brfss/annual_data/2013/pdf/compare_2013.pdf. In addition, due to changes in the insurance variables, the "Other Public" insurance category was not able to be calculated in 2013.

  9. f

    Prevalence of health risk factors and chronic disease by ACEs exposure.

    • figshare.com
    xls
    Updated Jun 2, 2023
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    Geetha M. Waehrer; Ted R. Miller; Sara C. Silverio Marques; Debora L. Oh; Nadine Burke Harris (2023). Prevalence of health risk factors and chronic disease by ACEs exposure. [Dataset]. http://doi.org/10.1371/journal.pone.0226134.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Geetha M. Waehrer; Ted R. Miller; Sara C. Silverio Marques; Debora L. Oh; Nadine Burke Harris
    License

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

    Description

    Prevalence of health risk factors and chronic disease by ACEs exposure.

  10. A

    APPRAISE ACES: University of Manchester Aerosol Chamber Data

    • catalogue.ceda.ac.uk
    • data-search.nerc.ac.uk
    Updated Jul 22, 2010
    + more versions
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    Rami Alfarra (2010). APPRAISE ACES: University of Manchester Aerosol Chamber Data [Dataset]. https://catalogue.ceda.ac.uk/uuid/b52f65656f56b5465588a103b1f82b23
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    Dataset updated
    Jul 22, 2010
    Dataset provided by
    NCAS British Atmospheric Data Centre (NCAS BADC)
    Authors
    Rami Alfarra
    License

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

    Time period covered
    Jul 10, 2008 - Jul 19, 2010
    Area covered
    Variables measured
    NO mixing ratio, O3 mixing ratio, NO2 mixing ratio, NOx mixing ratio, Total Number Concentration
    Description

    The ACES (Aerosol Coupling in the Earth System) project was an integrated research programme that aims to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system.

    This dataset contains measurements of mixing ratios of NO, NO2, NOX, and O3, using different gaseous precursors and concentrations. The following precursors were used: Alpha-pinene, Beta-caryophyllene, Isoprene, Limonene, Linalool, Myrcene at the following concentrations: 30 parts per billion, 50 parts per billion, 250 parts per billion

  11. d

    Data from: Economic impact of ACES trends on the automotive value chain: a...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Sep 24, 2024
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    Chen, Yu (2024). Economic impact of ACES trends on the automotive value chain: a forecast exploratory study of the Chinese automotive industry in 2030 [Dataset]. http://doi.org/10.7910/DVN/V6JDFA
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    Dataset updated
    Sep 24, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Chen, Yu
    Description

    the data generated during the analysis. Visit https://dataone.org/datasets/sha256%3A654b56bccd3f86d7f19b79d8cc10065b289ddbbe87665b3e53e136e9a39705e1 for complete metadata about this dataset.

  12. A

    ACEs Attestations

    • data.amerigeoss.org
    Updated May 20, 2022
    + more versions
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    United States (2022). ACEs Attestations [Dataset]. https://data.amerigeoss.org/dataset/aces-attestations
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    zip, html, csv, arcgis geoservices rest api, kml, geojsonAvailable download formats
    Dataset updated
    May 20, 2022
    Dataset provided by
    United States
    Description
    The ACEs Aware Clinician Directory includes a subset of Medi-Cal clinicians who have self-attested to completing a certified ACEs Aware Core Training and opted-in to being added to the ACEs Aware Clinician Directory. These clinicians may receive Medi-Cal payment for providing qualified Adverse Childhood Experience (ACE) screenings.

    The ACEs Aware initiative, a partnership between the Department of Health Care Services (DHCS) and Office of the California Surgeon General, is training and certifying clinicians to administer qualifying ACE screenings. The ACEs Aware Clinician Directory allows Medi-Cal patients and others to find “ACEs Aware” clinicians – those who have self-attested to completing the training and opted-in to being included in this Directory.

    Clinicians who want to be included in the Directory or need to update their information should submit or resubmit the ACEs Clinician Training Attestation form. DHCS does not have information on whether clinicians are accepting new Medi-Cal patients. For more information, please see the “Additional Information” section below and the ACEs Clinician Training Attestation FAQs.
  13. ACEs Attestations App

    • data.ca.gov
    • datasets.ai
    • +1more
    Updated May 23, 2023
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    California Department of Health Care Services (2023). ACEs Attestations App [Dataset]. https://data.ca.gov/dataset/aces-attestations-app
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    arcgis geoservices rest api, html, zipAvailable download formats
    Dataset updated
    May 23, 2023
    Dataset authored and provided by
    California Department of Health Care Serviceshttp://www.dhcs.ca.gov/
    License

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

    Description

    This is the ACEs Aware Clinician Directory App based on the ACEs Aware Clinician Directory. Use this app to find a subset of Medi-Cal providers who have attested to completing the certified Becoming ACEs Aware in California training, and are eligible to receive Medi-Cal payment for providing qualified ACE screenings. Clinicians listed have also chosen to opt-in to the ACEs Aware Clinician Directory. Listing in the directory data is voluntary.

  14. w

    Aces to Chinese Yuan Renminbi Historical Data

    • www-2.weex.com
    • weex.com
    Updated Mar 24, 2025
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    WEEX (2025). Aces to Chinese Yuan Renminbi Historical Data [Dataset]. https://www-2.weex.com/tokens/aces/to-cny
    Explore at:
    Dataset updated
    Mar 24, 2025
    Dataset authored and provided by
    WEEX
    License

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

    Description

    Historical price and volatility data for Aces in Chinese Yuan Renminbi across different time periods.

  15. ACEs Aware Clinician Listing - uz4x-4ub6 - Archive Repository

    • healthdata.gov
    application/rdfxml +5
    Updated Jul 31, 2024
    + more versions
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    (2024). ACEs Aware Clinician Listing - uz4x-4ub6 - Archive Repository [Dataset]. https://healthdata.gov/w/8vjd-57cz/default?cur=o7xecVN_2A1
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    json, application/rdfxml, application/rssxml, tsv, csv, xmlAvailable download formats
    Dataset updated
    Jul 31, 2024
    Description

    This dataset tracks the updates made on the dataset "ACEs Aware Clinician Listing" as a repository for previous versions of the data and metadata.

  16. w

    Data from: P-40 Warhawk aces of the Pacific

    • workwithdata.com
    Updated Aug 16, 2022
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    Work With Data (2022). P-40 Warhawk aces of the Pacific [Dataset]. https://www.workwithdata.com/object/p-40-warhawk-aces-of-the-pacific-book-by-carl-molesworth-0000
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    Dataset updated
    Aug 16, 2022
    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

    Description

    P-40 Warhawk aces of the Pacific is a book. It was written by Carl Molesworth and published by Osprey in 2003.

  17. w

    3 Aces.fun to Chinese Yuan Renminbi Historical Data

    • weex.com
    Updated Mar 27, 2025
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    The citation is currently not available for this dataset.
    Explore at:
    Dataset updated
    Mar 27, 2025
    Dataset authored and provided by
    WEEX
    License

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

    Description

    Historical price and volatility data for Aces.fun in Chinese Yuan Renminbi across different time periods.

  18. w

    Aces to Russian Rubles Historical Data

    • www-2.weex.com
    Updated Mar 23, 2025
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    WEEX (2025). Aces to Russian Rubles Historical Data [Dataset]. https://www-2.weex.com/tokens/aces/to-rub
    Explore at:
    Dataset updated
    Mar 23, 2025
    Dataset authored and provided by
    WEEX
    License

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

    Description

    Historical price and volatility data for Aces in Russian Rubles across different time periods.

  19. E

    Household composition, income and assets survey data (including...

    • catalogue.ceh.ac.uk
    • data-search.nerc.ac.uk
    • +1more
    zip
    Updated Mar 29, 2019
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    F. Vollmer; J. Fisher; C.M. Ryan; S. Baumert; E. Woollen; A. Luz; I. Cossa; R. Stedham; H. Smith (2019). Household composition, income and assets survey data (including environmental product collection) from Mabalane, Gurue and Marrupa districts, Mozambique in 2014 and 2015 [Dataset]. http://doi.org/10.5285/6d94d084-6c9d-4f81-8a3f-0b82de827858
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    zipAvailable download formats
    Dataset updated
    Mar 29, 2019
    Dataset provided by
    NERC EDS Environmental Information Data Centre
    Authors
    F. Vollmer; J. Fisher; C.M. Ryan; S. Baumert; E. Woollen; A. Luz; I. Cossa; R. Stedham; H. Smith
    Time period covered
    Jan 1, 2014 - Dec 31, 2015
    Area covered
    Dataset funded by
    Natural Environment Research Council
    Description

    This dataset includes data collected as part of the Abrupt Changes in Ecosystem Services (ACES) project on the composition, income (including consumption and sale of environmental resources), ownership of assets (e.g. farming equipment, household furnishings and own transport) and wellbeing of respondent households in rural Mozambique. Data are also included from a participatory wealth ranking exercise carried out in each village. Data were collected in a total of 27 villages: 7 villages in Mabalane District in Gaza Province, 10 villages in Gurué District in Zambezia Province and 10 villages in Marrupa District in Niassa Province. Data collection was carried out in 2014 and 2015, using a one-off environmentally-augmented household income and assets survey administered by enumerators in the locally appropriate language. The objective of the ACES project was to explore interactions between woodland change, ecosystem services and wellbeing in rural Mozambican households. The study used a space-for-time substitution approach, with villages in each district chosen to represent different points on gradients of land use intensity with respect to the dominant land use types in each district (charcoal production in Mabalane, commercial agriculture in Gurué and subsistence agriculture in Marrupa). Data were collected primarily by researchers based in the School of Geosciences at the University of Edinburgh and at the University of Eduardo Mondlane in Mozambique. All the data collected using the household survey are included in this dataset barring those data which would compromise the anonymity of respondents, such as the names and household coordinates of those interviewed.

  20. w

    Data from: Mustang aces of the Eighth Air Force

    • workwithdata.com
    Updated Jan 10, 2022
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    Work With Data (2022). Mustang aces of the Eighth Air Force [Dataset]. https://www.workwithdata.com/object/mustang-aces-of-the-eighth-air-force-book-by-jerry-scutts-0000
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    Dataset updated
    Jan 10, 2022
    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

    Description

    Mustang aces of the Eighth Air Force is a book. It was written by Jerry Scutts and published by Osprey in 1994.

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Department of Public Health (2024). Positive and Adverse Childhood Experiences (PCEs & ACEs) Data [Dataset]. https://www.mass.gov/info-details/positive-and-adverse-childhood-experiences-pces-aces-data

Positive and Adverse Childhood Experiences (PCEs & ACEs) Data

Explore at:
Dataset updated
Jan 9, 2024
Dataset provided by
Department of Public Health
Bureau of Community Health and Prevention
Population Health Information Tool
Area covered
Massachusetts
Description

Find information on Positive Childhood Experiences (PCEs) and Adverse Childhood Experiences (ACEs) survey data of Massachusetts residents.

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