53 datasets found
  1. d

    Data from: Spatio-temporal analysis of remotely sensed forest loss data in...

    • datadryad.org
    • search.dataone.org
    • +1more
    zip
    Updated Nov 2, 2021
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    Bernard Peter Daipan; Franco Jenner (2021). Spatio-temporal analysis of remotely sensed forest loss data in the Cordillera Administrative Region, Philippines [Dataset]. http://doi.org/10.5061/dryad.v41ns1rvb
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    zipAvailable download formats
    Dataset updated
    Nov 2, 2021
    Dataset provided by
    Dryad
    Authors
    Bernard Peter Daipan; Franco Jenner
    Time period covered
    2021
    Area covered
    Philippines, Cordillera Administrative Region
    Description

    The Hansen Global Forest Change version 1.7 datasets generated during and/or analysed during the current study are available in the earth engine partner’s website repository http://earthenginepartners.appspot.com/science-2013-global-forest. The datasets were developed by Hansen et al. (2013) in their paper "High-resolution global maps of 21st-century forest cover change". Science, 342 (6160), 850-853. https://doi.org/10.1126/science.1244693

    The census of population in the Philippines, including the project populations, used in this study can be retrieved from the Philippine Statistics Authority (PSA) website https://psa.gov.ph/statistics/census/projected-population

    The datasets were processed using an open source GIS software (QGIS version 3.16 Hannover) which can be downloaded from the QGIS website https://www.qgis.org/en/site/.

  2. PSA

    • catalog.data.gov
    Updated Apr 21, 2025
    + more versions
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    NRCS (2025). PSA [Dataset]. https://catalog.data.gov/dataset/psa
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Natural Resources Conservation Servicehttp://www.nrcs.usda.gov/
    Description

    Payment Schedule Application - Cost Lists

  3. PSA Local Training Statistics Fiscal 2023-2024 - Datasets - Government of...

    • data.gov.tt
    Updated Jan 27, 2025
    + more versions
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    data.gov.tt (2025). PSA Local Training Statistics Fiscal 2023-2024 - Datasets - Government of the Republic of Trinidad and Tobago Open Data Platform [Dataset]. https://data.gov.tt/dataset/psa-local-training-statistics-fiscal-2023-2024
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    Dataset updated
    Jan 27, 2025
    Dataset provided by
    Data.govhttps://data.gov/
    License

    Attribution-NonCommercial 2.0 (CC BY-NC 2.0)https://creativecommons.org/licenses/by-nc/2.0/
    License information was derived automatically

    Description

    This dataset outlines the list of local courses offered by the Public Service Academy (PSA) during fiscal 2023-2024 and the number of GoRTT officers trained in each course.

  4. V

    PSA

    • data.virginia.gov
    csv
    Updated Dec 2, 2024
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    State Corporate Commission (2024). PSA [Dataset]. https://data.virginia.gov/dataset/psa
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    csv(49235)Available download formats
    Dataset updated
    Dec 2, 2024
    Dataset authored and provided by
    State Corporate Commission
    Description

    This dataset provides information about an Entity, it's registered Agents and shares details

  5. PSA Local Training Statistics Fiscal 2017 - 2018 - Datasets - Government of...

    • data.gov.tt
    Updated Oct 24, 2024
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    data.gov.tt (2024). PSA Local Training Statistics Fiscal 2017 - 2018 - Datasets - Government of the Republic of Trinidad and Tobago Open Data Platform [Dataset]. https://data.gov.tt/dataset/psa-local-training-statistics-fiscal-2017-2018
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    Dataset updated
    Oct 24, 2024
    Dataset provided by
    Data.govhttps://data.gov/
    License

    Attribution-NonCommercial 2.0 (CC BY-NC 2.0)https://creativecommons.org/licenses/by-nc/2.0/
    License information was derived automatically

    Description

    This dataset outlines the list of local courses offered by the Public Service Academy (PSA) during fiscal 2017-2018 and the number of GoRTT officers trained in each course.

  6. INFOMAR FEAS Seabed Samples PSA (Particle Size Analysis) shapefile. -...

    • data.gov.ie
    Updated Jul 20, 2023
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    data.gov.ie (2023). INFOMAR FEAS Seabed Samples PSA (Particle Size Analysis) shapefile. - Dataset - data.gov.ie [Dataset]. https://data.gov.ie/dataset/infomar-feas-seabed-samples-psa-particle-size-analysis-shapefile
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    Dataset updated
    Jul 20, 2023
    Dataset provided by
    data.gov.ie
    License

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

    Description

    This shapefile is based on a seabed sediment sample database of samples collected by INSS, INFOMAR and related surveys, including ADFish, DCU, FEAS, GATEWAYS, IMAGIN, IMES, INIS_HYRDO, JIBS, MESH, SCALLOP, SEAI, SEI, UCC. Where available, the results of particle size analysis are presented by displaying percentages of mud, sand and gravel fraction. Shapefile showing location of 4185 samples and samples can be colour coded in accordance with Folk sediment type classification for samples with available PSA (Particle Size Analysis) data. Shapefile showing location of 4185 samples and Folk classification for samples with available PSA (Particle Size Analysis) data.

  7. PSA Local Training Statistics Fiscal January 2023-December 2023 - Datasets -...

    • data.gov.tt
    Updated Jan 27, 2025
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    data.gov.tt (2025). PSA Local Training Statistics Fiscal January 2023-December 2023 - Datasets - Government of the Republic of Trinidad and Tobago Open Data Platform [Dataset]. https://data.gov.tt/dataset/psa-local-training-statistics-fiscal-january-2023-december-2023
    Explore at:
    Dataset updated
    Jan 27, 2025
    Dataset provided by
    Data.govhttps://data.gov/
    License

    Attribution-NonCommercial 2.0 (CC BY-NC 2.0)https://creativecommons.org/licenses/by-nc/2.0/
    License information was derived automatically

    Description

    This dataset outlines the list of local courses offered by the Public Service Academy (PSA) during fiscal January 2023-December 2023 and the number of GoRTT officers trained in each course.

  8. PSA & Intervention

    • data.wu.ac.at
    • cloud.csiss.gmu.edu
    Updated Dec 12, 2013
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    Rural Payments Agency (2013). PSA & Intervention [Dataset]. https://data.wu.ac.at/odso/data_gov_uk/ZjhiN2VmZWUtNjY2MC00ZjIxLTljODEtYzEyZjRjYzJiZTMy
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    Dataset updated
    Dec 12, 2013
    Dataset provided by
    Rural Payments Agencyhttps://gov.uk/rpa
    Description

    Various file series of files covering contract files, statistics, sales, creamery inspections

  9. Z

    Data from: Genetically adjusted PSA levels for prostate cancer screening

    • data.niaid.nih.gov
    • explore.openaire.eu
    • +1more
    Updated Jun 4, 2023
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    Witte, John S. (2023). Genetically adjusted PSA levels for prostate cancer screening [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_7460134
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    Dataset updated
    Jun 4, 2023
    Dataset provided by
    Jiang, Yu
    Shelley, John P.
    Freedman, Neal D.
    Li, Shengchao A.
    Easterlin, Ryder
    Hoffmann, Thomas J
    Kachuri, Linda
    Mosley, Jonathan D.
    Thompson, Ian
    Klein, Robert J.
    Haiman, Christopher A.
    Van Den Eeden, Stephen K.
    Berndt, Sonja I.
    Schaffer, Kerry
    Chanock, Stephen J.
    Machiela, Mitchell J.
    Witte, John S.
    Conti, David V.
    Graff, Rebecca E.
    Till, Cathee
    Goodman, Phyllis J.
    Huang, Wen-Yi
    Lilja, Hans
    License

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

    Description

    Prostate-specific antigen (PSA) screening for prostate cancer remains controversial because it increases overdiagnosis and overtreatment of clinically insignificant tumors. Accounting for genetic determinants of constitutive, non-cancer PSA variation has potential to improve screening utility. We discovered 128 genome-wide significant associations (P<5×10-8) in a multi-ancestry GWAS meta-analysis of 95,768 men and developed a PSA polygenic score (PGSPSA) that explains 9.61% of constitutive PSA variation. Here we provide full GWAS summary statistics for the multi-ancestry meta-analysis and ancestry-stratified summary statistics for ~1.2 million variants used to derive a genome-wide PGSPSA.

  10. Z

    boones348/Resource-PSA-Project: Resource PSA Project (v.2)

    • data.niaid.nih.gov
    Updated Jan 21, 2020
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    Rebekah Boone (2020). boones348/Resource-PSA-Project: Resource PSA Project (v.2) [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_2634092
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    Dataset updated
    Jan 21, 2020
    Dataset authored and provided by
    Rebekah Boone
    Description

    This is a method for tracking data updates for our PSA project.

  11. Key Characteristics of Californians Age 60 and Over

    • data.ca.gov
    • healthdata.gov
    • +3more
    csv, pdf, zip
    Updated Aug 29, 2024
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    California Department of Aging (2024). Key Characteristics of Californians Age 60 and Over [Dataset]. https://data.ca.gov/dataset/key-characteristics-of-californians-age-60-and-over1
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    pdf, csv, zipAvailable download formats
    Dataset updated
    Aug 29, 2024
    Dataset authored and provided by
    California Department of Aging
    License

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

    Area covered
    California
    Description

    This data set presents key demographic characteristics of Californians Age 60 and Over. This data set can be viewed by county or Area Agency on Aging Planning and Services Area. Key sociodemographic variables include: lives alone, low income, minority/non-minority, non-English speaking, and living in a rural area. This data is based on multiple federal and state sources.

  12. d

    Police Service Area Details

    • catalog.data.gov
    • opendata.dc.gov
    • +3more
    Updated Feb 5, 2025
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    City of Washington, DC (2025). Police Service Area Details [Dataset]. https://catalog.data.gov/dataset/police-service-area-details
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    City of Washington, DC
    Description

    A web map used for the Police Service Area Details web application.In addition to Police Districts, every resident lives in a Police Service Area (PSA), and every PSA has a team of police officers and officials assigned to it. Residents should get to know their PSA team members and learn how to work with them to fight crime and disorder in their neighborhoods. Each police district has between seven and nine PSAs. There are a total of 56 PSAs in the District of Columbia.Printable PDF versions of each district map are available on the district pages. Residents and visitors may also access the PSA Finder to easily locate a PSA and other resources within a geographic area. Just enter an address or place name and click the magnifying glass to search, or just click on the map. The results will provide the geopolitical and public safety information for the address; it will also display a map of the nearest police station(s).Each Police Service Area generally holds meetings once a month. To learn more about the meeting time and location in your PSA, please contact your Community Outreach Coordinator. To reach a coordinator, choose your police district from the list below. The coordinators are included as part of each district's Roster.Visit https://mpdc.dc.gov for more information.

  13. a

    Albertans having one or more Prostate Specific Antigen (PSA) test - Open...

    • open.alberta.ca
    Updated May 12, 2015
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    (2015). Albertans having one or more Prostate Specific Antigen (PSA) test - Open Government [Dataset]. https://open.alberta.ca/dataset/albertans-having-one-or-more-prostate-specific-antigen-psa-test
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    Dataset updated
    May 12, 2015
    Area covered
    Alberta
    Description

    This snapshot provides statistics on the use and results of Prostate Specific Antigen (PSA) testing in Alberta. PSA tests are performed for two main reasons: to detect prostate cancer, and to monitor treatment effectiveness and disease recurrence.

  14. Detailed Particle Size Analysis (PSA) data for deep-sea sediment samples...

    • data.gov.ie
    Updated Jul 30, 2021
    + more versions
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    data.gov.ie (2021). Detailed Particle Size Analysis (PSA) data for deep-sea sediment samples acquired during the SeaRover project (2017 – 2019) in the North East Atlantic Ocean - Dataset - data.gov.ie [Dataset]. https://data.gov.ie/dataset/sea-sediment-samples-acquired-during-the-searover-project-2017-2019-in-the-north-east-atlantic-ocean
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    Dataset updated
    Jul 30, 2021
    Dataset provided by
    data.gov.ie
    License

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

    Area covered
    Atlantic Ocean
    Description

    Between 2017 and 2019 the SeaRover project, funded by the EMFF’s (European Maritime & Fisheries Fund) Biodiversity Scheme opportunistically collected deep-sea sediment samples during three offshore surveys. These data were processed aboard the RV Celtic Explorer and ILV Granuaile before being outsourced for high-resolution Particle Size Analysis. Particle size analysis provides information on sediment grain size and distribution which helps characterise aspects of the physical environment within the sample area. These analyses were funded by the EMFF Fisheries Survey Sampling project. The SeaRover samples were collected over three years, 2017, 2018 and 2019 and analysed fully during end 2019-2020.

  15. V

    Number of 60+ Population in the Labor Force (by Planning and Service Area...

    • data.virginia.gov
    csv
    Updated Apr 5, 2024
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    Datathon 2024 (2024). Number of 60+ Population in the Labor Force (by Planning and Service Area [PSA])-VA [Dataset]. https://data.virginia.gov/dataset/number-of-60-population-in-the-labor-force-by-planning-and-service-area-psa-va
    Explore at:
    csv(12436)Available download formats
    Dataset updated
    Apr 5, 2024
    Dataset authored and provided by
    Datathon 2024
    Description

    Data Source: U.S. Census Bureau, American Community Survey (ACS) 5-year Estimates Special Tabulation on Aging and Disability 2016-2020.
    *Note. People who are actively working or are not currently working but have recently and would like to work are considered in the labor force. Those who have never worked or are retired are not in the labor force.

  16. PSA Test Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). PSA Test Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/psa-test-market
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    pdf, pptx, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    PSA Test Market Outlook



    The global PSA Test market size was valued at approximately USD 3.2 billion in 2023 and is projected to reach USD 5.4 billion by 2032, growing at a compound annual growth rate (CAGR) of 6.0% from 2024 through 2032. The increasing incidence of prostate cancer, which is currently one of the most common types of cancer affecting men worldwide, is a significant growth factor for this market. Rising awareness about the benefits of early detection of prostate cancer and advancements in PSA testing technologies are also driving market growth. The growing geriatric population, who are more susceptible to prostate ailments, further supports the market expansion.



    The growth of the PSA Test market is primarily driven by the increasing prevalence of prostate cancer, which has led to a greater demand for early diagnostic tests. Medical advancements have significantly enhanced the accuracy and reliability of PSA tests, making them a preferred choice for healthcare providers worldwide. Moreover, public health initiatives and awareness campaigns have successfully educated men over the age of 50 on the importance of regular PSA screenings, further boosting market demand. The development of more sophisticated and less invasive testing methods, which provide quicker and more accurate results, is also propelling the market growth.



    Technological advancements in PSA testing have played a crucial role in market expansion. Innovations in testing procedures, such as the development of highly specific and sensitive test kits, have improved the detection rates of prostate cancer significantly. The integration of artificial intelligence in diagnostic processes has further refined the accuracy of PSA tests by reducing false positives and negatives. These improvements not only enhance patient outcomes but also increase the confidence of healthcare providers in recommending PSA tests, thus contributing to the market growth.



    Another important growth factor is the increasing investment in healthcare infrastructure and research, particularly in developing countries. Governments and private organizations are actively investing in improving healthcare facilities, which includes the adoption of advanced diagnostic tools like PSA tests. The focus on improving healthcare accessibility in rural and remote areas is also expected to drive market growth, as more individuals gain access to routine prostate health check-ups and screenings. Additionally, collaborations and partnerships between key players in the market to develop cost-effective and high-quality PSA tests are likely to enhance market growth dynamics.



    The introduction of the Prostate Cancer Test Kit has revolutionized the way individuals approach prostate health. These kits provide a convenient and accessible option for men to monitor their prostate-specific antigen (PSA) levels from the comfort of their homes. By enabling early detection of potential prostate issues, these test kits play a crucial role in preventive healthcare. The ease of use and affordability of these kits make them an attractive choice for many, particularly those who may not have easy access to healthcare facilities. Furthermore, the availability of such kits encourages more men to take proactive steps in managing their health, thereby contributing to the overall growth of the PSA Test market.



    Regionally, North America holds a prominent share of the PSA Test market, attributed to the high prevalence of prostate cancer and the presence of an advanced healthcare system. However, the Asia Pacific region is anticipated to witness the fastest CAGR during the forecast period, driven by the increasing awareness of prostate health, rising disposable income, and improved healthcare infrastructure. In Europe, strong government initiatives and the presence of leading market players contribute to significant market growth. The Middle East & Africa and Latin America, although currently holding a smaller market share, are expected to see moderate growth due to ongoing healthcare improvements and rising cancer awareness.



    Product Type Analysis



    The PSA Test market is segmented into instruments, reagents & kits, each playing a vital role in the overall diagnostic process. Instruments, which include devices used for conducting PSA tests, form a crucial part of this segment. These instruments have seen significant advancements in terms of automation and precision, which facilitate quicker and more accurate test results. As hospitals and di

  17. d

    Police Service Areas

    • catalog.data.gov
    • opendata.dc.gov
    • +2more
    Updated Feb 5, 2025
    + more versions
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    D.C. Office of the Chief Technology Officer (2025). Police Service Areas [Dataset]. https://catalog.data.gov/dataset/police-service-areas
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    D.C. Office of the Chief Technology Officer
    Description

    Metropolitan Police Department (MPD) Police Service Areas (PSA). The dataset contains polygons representing of MPD PSA, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. Police jurisdictions were initially created selecting street arcs from the planimetric street centerlines and street polygons, water polygons, real property boundaries and District of Columbia boundaries.2019 Boundary Changes:Periodically, MPD conducts a comprehensive assessment of our patrol boundaries to ensure optimal operations. This effort considers current workload, anticipated population growth, development, and community needs. The overarching goals for the 2019 realignment effort included: optimal availability of police resources, officer safety and wellness, and efficient delivery of police services. These changes took effect on 01/10/2019. On 03/27/2019, this boundary was modified to adjust dispatching of North Capitol Street’s northwest access roads to be more operationally efficient.

  18. d

    Older Americans Act Title IIIC-1 Nutrition Services - Congregate Meals...

    • datasets.ai
    • data.ca.gov
    • +4more
    33, 57, 8
    Updated Aug 13, 2024
    + more versions
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    State of California (2024). Older Americans Act Title IIIC-1 Nutrition Services - Congregate Meals Program and Participants [Dataset]. https://datasets.ai/datasets/older-americans-act-title-iiic-1-nutrition-services-congregate-meals-program-and-participa-94963
    Explore at:
    33, 8, 57Available download formats
    Dataset updated
    Aug 13, 2024
    Dataset authored and provided by
    State of California
    Description

    This data set represents the total number of Californians age 60 and over who were provided a meal from the Older Americans Act Title IIIC-1 Nutrition Services Program – Congregate Meals. Key sociodemographic variables include: age, high risk nutrition status, low income, lives alone and minority/non-minority.

  19. w

    NYCHA PSA (Police Service Areas)

    • data.wu.ac.at
    • data.cityofnewyork.us
    • +2more
    csv, json, kml, kmz +1
    Updated Oct 2, 2017
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    City of New York (2017). NYCHA PSA (Police Service Areas) [Dataset]. https://data.wu.ac.at/schema/data_gov/YjVlNmZhZDEtZGY2YS00OWM1LWI5MGEtYmMxNzlhZDJiNzU5
    Explore at:
    zip, kmz, csv, json, kmlAvailable download formats
    Dataset updated
    Oct 2, 2017
    Dataset provided by
    City of New York
    Description

    Police Service Areas boundaries.

  20. a

    Boundaries PSA

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Aug 25, 2016
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    City of Philadelphia (2016). Boundaries PSA [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/8dc58605f9dd484295c7d065694cdc0f
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    Dataset updated
    Aug 25, 2016
    Dataset authored and provided by
    City of Philadelphia
    Area covered
    Description

    View metadata for key information about this dataset.The PSA boundaries replaced a much smaller boundary, Sectors in 2009. In several Districts, PSA's split Sector boundaries and therefore a historical comparison would not necessarily be accurate. These polygon features were created by the Crime Mapping & Analysis Unit and they represent an initiative by the Philadelphia Police Department that started in 2009. A Police District can have up to 4 PSA's and as few as 2. There is a Police Lieutenant assigned to each PSA and officers are limited to patrol their specific boundary with the goal of familiarity with the area residents and businesses.See also the related datasets:Police DistrictsPolice DivisionsFor questions about this dataset, contact publicsafetygis@phila.gov. For technical assistance, email maps@phila.gov.

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Bernard Peter Daipan; Franco Jenner (2021). Spatio-temporal analysis of remotely sensed forest loss data in the Cordillera Administrative Region, Philippines [Dataset]. http://doi.org/10.5061/dryad.v41ns1rvb

Data from: Spatio-temporal analysis of remotely sensed forest loss data in the Cordillera Administrative Region, Philippines

Related Article
Explore at:
zipAvailable download formats
Dataset updated
Nov 2, 2021
Dataset provided by
Dryad
Authors
Bernard Peter Daipan; Franco Jenner
Time period covered
2021
Area covered
Philippines, Cordillera Administrative Region
Description

The Hansen Global Forest Change version 1.7 datasets generated during and/or analysed during the current study are available in the earth engine partner’s website repository http://earthenginepartners.appspot.com/science-2013-global-forest. The datasets were developed by Hansen et al. (2013) in their paper "High-resolution global maps of 21st-century forest cover change". Science, 342 (6160), 850-853. https://doi.org/10.1126/science.1244693

The census of population in the Philippines, including the project populations, used in this study can be retrieved from the Philippine Statistics Authority (PSA) website https://psa.gov.ph/statistics/census/projected-population

The datasets were processed using an open source GIS software (QGIS version 3.16 Hannover) which can be downloaded from the QGIS website https://www.qgis.org/en/site/.

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