55 datasets found
  1. w

    Dataset of book subjects that contain Keep moving and other tips and truths...

    • workwithdata.com
    Updated Nov 7, 2024
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    Work With Data (2024). Dataset of book subjects that contain Keep moving and other tips and truths about aging [Dataset]. https://www.workwithdata.com/datasets/book-subjects?f=1&fcol0=j0-book&fop0=%3D&fval0=Keep+moving+and+other+tips+and+truths+about+aging&j=1&j0=books
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    Dataset updated
    Nov 7, 2024
    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

    This dataset is about book subjects. It has 3 rows and is filtered where the books is Keep moving and other tips and truths about aging. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

  2. Share of Jews who keep kosher in Israel 2024

    • statista.com
    Updated Jun 23, 2025
    + more versions
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    Statista (2025). Share of Jews who keep kosher in Israel 2024 [Dataset]. https://www.statista.com/statistics/1553565/israel-share-jews-who-keep-kosher/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2024
    Area covered
    Israel
    Description

    According to a survey, ** percent of the Jewish population in Israel followed kosher practices consistently in accordance with the Jewish tradition. On the other hand, ** percent of Jews did not keep kosher at all, and ** percent mostly kept kosher.

  3. w

    Dataset of books series that contain The keep of fire

    • workwithdata.com
    Updated Nov 25, 2024
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    Work With Data (2024). Dataset of books series that contain The keep of fire [Dataset]. https://www.workwithdata.com/datasets/book-series?f=1&fcol0=j0-book&fop0=%3D&fval0=The+keep+of+fire&j=1&j0=books
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    Dataset updated
    Nov 25, 2024
    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

    This dataset is about book series. It has 1 row and is filtered where the books is The keep of fire. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

  4. a

    Complete List of Walgreens Store Locations in the United States

    • aggdata.com
    csv
    Updated Jun 2, 2025
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    AggData (2025). Complete List of Walgreens Store Locations in the United States [Dataset]. https://www.aggdata.com/aggdata/complete-list-walgreens-store-locations-united-states
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    csvAvailable download formats
    Dataset updated
    Jun 2, 2025
    Dataset authored and provided by
    AggData
    Area covered
    United States
    Description

    Walgreens is a major pharmacy chain in the US, offering prescription medications, health products, beauty items, and general merchandise. Walgreens locations often have MinuteClinics for walk-in medical care and photo services. Walgreens stores are typically clean, well-lit, and customer-focused. Walgreens also provides online services like prescription refills and shopping. Walgreens' emphasis on health and convenience makes it a trusted source for healthcare and everyday needs. You can download the complete list of key information about Walgreens locations, contact details, services offered, and geographical coordinates, beneficial for various applications like store locators, business analysis, and targeted marketing. The Walgreens data you can download includes:

    Identification & Location:
    
    
      store_number, dba (doing business as), and store_name uniquely identify the store
    
      store_location, address, city, state, zip_code, and country_code pinpoint its physical location
    
      latitude and longitude give precise geographical coordinates
    
      county gives broader regional information
    
      country specifies the country where the store is located
    
      geo_accuracy indicates the level of confidence in the provided geographical coordinates
    
    
    
    Contact Information:
    
    
      phone_number is the store's primary contact number
    
    
    
    Operational Details & Services:
    
    
      store_hours lists the general store operating hours
    
      pharmacy_hours and clinic_hours specify the operating hours of those specific departments, if applicable
    
      24_hour indicates if the store operates 24/
    
      store_services, pharmacy_services, photo_services, and clinic_services detail the specific services offered in each department or by the store overall
    
      clinic and compounding likely indicate if the store has a clinic and if it offers compounding services (for medications)
    
      drive_through specifies if the store has a drive-through lane
    
  5. a

    Complete List of Family Dollar Store Locations in the United States

    • aggdata.com
    csv
    Updated Jul 1, 2025
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    AggData (2025). Complete List of Family Dollar Store Locations in the United States [Dataset]. https://www.aggdata.com/aggdata/complete-list-family-dollar-store-locations-united-states
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    csvAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    AggData
    Area covered
    United States
    Description

    Family Dollar stores are discount retailers known for their affordable prices and convenient locations. Family Dollar offers a variety of essential goods like food, household items, health and beauty products, apparel, and toys. Family Dollar stores are typically smaller in size, making them easy to navigate, and are often found in neighborhoods and smaller towns. Family Dollar offers a mix of national brands and their own private labels, prioritizing value and accessibility for budget-conscious shoppers seeking everyday necessities. You can download the complete list of key information about Family Dollar locations, contact details, services offered, and geographical coordinates, beneficial for various applications like store locators, business analysis, and targeted marketing. The Family Dollar data you can download includes:

    Identification & Location:
    
    
      store_id, store_number, and store_name uniquely identify the store
    
      address, address_line_2, city, state, zip_code, and country_code pinpoint its physical location
    
      latitude and longitude give precise geographical coordinates
    
      county gives broader regional information
    
      country specifies the country where the store is located
    
      geo_accuracy indicates the level of confidence in the provided geographical coordinates
    
    
    
    Contact Information:
    
    
      phone_number is the store's primary contact number
    
    
    
    Operational Details & Services:
    
    
      store_hours lists the store's operating hours
    
      open_date provides historical context about when the store started operating
    
      dollar_tree_combo likely indicates if it's a combined store with Dollar Tree
    
      fresh_produce suggests if the store offers fresh fruits and vegetables
    
      adult_beverages implies if the store sells alcoholic beverages
    
  6. T

    Slovenia - Population unable to keep home adequately warm: Above 60% of...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Oct 2, 2021
    + more versions
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    TRADING ECONOMICS (2021). Slovenia - Population unable to keep home adequately warm: Above 60% of median equivalised income [Dataset]. https://tradingeconomics.com/slovenia/population-unable-to-keep-home-adequately-warm-above-60percent-of-median-equivalised-income-eurostat-data.html
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    excel, json, xml, csvAvailable download formats
    Dataset updated
    Oct 2, 2021
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Slovenia
    Description

    Slovenia - Population unable to keep home adequately warm: Above 60% of median equivalised income was 2.40% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Slovenia - Population unable to keep home adequately warm: Above 60% of median equivalised income - last updated from the EUROSTAT on July of 2025. Historically, Slovenia - Population unable to keep home adequately warm: Above 60% of median equivalised income reached a record high of 4.30% in December of 2015 and a record low of 1.20% in December of 2021.

  7. d

    Grocery Store Locations

    • catalog.data.gov
    • ozmarketplace.dc.gov
    • +3more
    Updated May 21, 2025
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    Office of the Chief Technology Officer (2025). Grocery Store Locations [Dataset]. https://catalog.data.gov/dataset/grocery-store-locations
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    Dataset updated
    May 21, 2025
    Dataset provided by
    Office of the Chief Technology Officer
    Description

    To create this layer, OCTO staff used ABCA's definition of “Full-Service Grocery Stores” (https://abca.dc.gov/page/full-service-grocery-store#gsc.tab=0)– pulled from the Food System Assessment below), and using those criteria, determined locations that fulfilled the categories in section 1 of the definition.Then, staff reviewed the Office of Planning’s Food System Assessment (https://dcfoodpolicycouncilorg.files.wordpress.com/2019/06/2018-food-system-assessment-final-6.13.pdf) list in Appendix D, comparing that to the created from the ABCA definition, which led to the addition of a additional examples that meet, or come very close to, the full-service grocery store criteria. The explanation from Office of Planning regarding how the agency created their list:“To determine the number of grocery stores in the District, we analyzed existing business licenses in the Department of Consumer and Regulatory Affairs (2018) Business License Verification system (located at https://eservices.dcra.dc.gov/BBLV/Default.aspx). To distinguish grocery stores from convenience stores, we applied the Alcohol Beverage and Cannabis Administration’s (ABCA) definition of a full-service grocery store. This definition requires a store to be licensed as a grocery store, sell at least six different food categories, dedicate either 50% of the store’s total square feet or 6,000 square feet to selling food, and dedicate at least 5% of the selling area to each food category. This definition can be found at https://abca.dc.gov/page/full-service-grocery-store#gsc.tab=0. To distinguish small grocery stores from large grocery stores, we categorized large grocery stores as those 10,000 square feet or more. This analysis was conducted using data from the WDCEP’s Retail and Restaurants webpage (located at https://wdcep.com/dc-industries/retail/) and using ARCGIS Spatial Analysis tools when existing data was not available. Our final numbers differ slightly from existing reports like the DC Hunger Solutions’ Closing the Grocery Store Gap and WDCEP’s Grocery Store Opportunities Map; this difference likely comes from differences in our methodology and our exclusion of stores that have closed.”Staff also conducted a visual analysis of locations and relied on personal experience of visits to locations to determine whether they should be included in the list.

  8. d

    CityStore - The Official Store of the City of New York

    • catalog.data.gov
    • data.cityofnewyork.us
    • +1more
    Updated Jul 12, 2025
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    data.cityofnewyork.us (2025). CityStore - The Official Store of the City of New York [Dataset]. https://catalog.data.gov/dataset/city-store-the-official-store-of-the-city-of-new-york
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    Dataset updated
    Jul 12, 2025
    Dataset provided by
    data.cityofnewyork.us
    Area covered
    New York
    Description

    Information on CityStore, the products available, prices and product descriptions.

  9. a

    Complete List of Costco Wholesale Store Locations in the United States

    • aggdata.com
    csv
    Updated Jun 5, 2025
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    AggData (2025). Complete List of Costco Wholesale Store Locations in the United States [Dataset]. https://www.aggdata.com/aggdata/complete-list-costco-wholesale-store-locations-united-states
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    csvAvailable download formats
    Dataset updated
    Jun 5, 2025
    Dataset authored and provided by
    AggData
    Area covered
    United States
    Description

    Costco Wholesale stores are membership-based warehouses offering a vast selection of products in bulk at discounted prices. Costco Wholesale caters to both individuals and businesses, providing everything from groceries to electronics. With a rotating inventory and their own Kirkland Signature brand, Costco Wholesale creates a broad and diverse shopping experience. Costco Wholesale also offers additional services like pharmacies and optical centers. The Costco Wholesale warehouse-style layout helps efficient bulk shopping, and their focus on value and quality has earned them a loyal following. You can download the complete list of key information about Costco Wholesale locations, contact details, services offered, and geographical coordinates, beneficial for various applications like store locators, business analysis, and targeted marketing. The Costco Wholesale data you can download includes:

    Identification & Location:
    
    
      store_number and store_name uniquely identify the store.
    
      address, city, state, zip_code, and country_code pinpoint its physical location.
    
      latitude and longitude give precise geographical coordinates.
    
      county provides broader regional information.
    
      geo_accuracy indicates the level of confidence in the provided geographical coordinates.
    
    
    
    Contact Information:
    
    
      phone_number is the general store contact number.
    
      pharmacy_phone_number is a specific contact for the pharmacy department, if applicable.
    
    
    
    Operational Details & Services:
    
    
      store_hours lists the general store operating hours.
    
      opening_date provides historical context about when the store started operating
    
      pharmacy_hours specifies pharmacy operating hours, if applicable.
    
      Flags like pharmacy, optical, hearing, food_court, gas, and tires indicate the availability of specific services at the store
    
      website_address provides a link to the store's website for further information
    
  10. Types of music most likely to keep consumers in stores in the U.S. 2023

    • statista.com
    Updated Jan 14, 2025
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    Statista (2025). Types of music most likely to keep consumers in stores in the U.S. 2023 [Dataset]. https://www.statista.com/statistics/1440622/music-most-likely-to-keep-people-in-stores-usa/
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    Dataset updated
    Jan 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    According to a survey conducted in the United States, the highest share of consumers were most likely to enter a store, or stay inside said store for longer, if popular music was playing inside. This was the case for more than 40 percent of survey respondents as of 2023. Rock ranked second, with over a third of U.S. consumers saying hearing it would influence them to head into a store.

  11. a

    Complete List of The Container Store Locations in the United States

    • aggdata.com
    csv
    Updated May 1, 2025
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    AggData (2025). Complete List of The Container Store Locations in the United States [Dataset]. https://www.aggdata.com/aggdata/complete-list-container-store-locations-united-states
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    csvAvailable download formats
    Dataset updated
    May 1, 2025
    Dataset authored and provided by
    AggData
    Area covered
    United States
    Description

    The Container Store is a specialty retailer that focuses on providing organizational solutions for homes and offices. The Container Store business model is centered around offering a curated selection of storage and organization products, along with expert advice and in-home design services. The Container Store generates revenue through the sale of their products, both in-store and online. They differentiate themselves by offering a high-touch customer experience, with knowledgeable staff who can help customers find the right solutions for their specific needs. You can download the complete list of key information about The Container Store locations, contact details, services offered, and geographical coordinates, beneficial for various applications like store locators, business analysis, and targeted marketing. The Container Store data you can download includes:

    Identification & Location:
    
    
      Store_ name, address, address_line_2, city, state, zip_code, latitude, longitude, geo_accuracy, country_code, county, 
    
    
    Contact Information:
    
    
      Phone_number,  
    
    
    Operational Details & Services:
    
    
      Store_hours, 
    
  12. b

    Apple App Store Statistics (2025)

    • businessofapps.com
    Updated May 16, 2023
    + more versions
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    Business of Apps (2023). Apple App Store Statistics (2025) [Dataset]. https://www.businessofapps.com/data/apple-app-store-statistics/
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    Dataset updated
    May 16, 2023
    Dataset authored and provided by
    Business of Apps
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    Key Apple App Store StatisticsApple App Store App and Game RevenueApple App Store Gaming App RevenueApple App Store App RevenueApple App Store App and Game DownloadsApple App Store Game...

  13. d

    Grepsr | Comprehensive Dataset of Fast-food Chains' Store (Starbucks,...

    • datarade.ai
    Updated Nov 24, 2023
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    Grepsr (2023). Grepsr | Comprehensive Dataset of Fast-food Chains' Store (Starbucks, Mcdonalds, Subway, & more) Location [Dataset]. https://datarade.ai/data-products/grepsr-comprehensive-dataset-of-fast-food-chains-store-st-grepsr
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Nov 24, 2023
    Dataset authored and provided by
    Grepsr
    Area covered
    Isle of Man, Kyrgyzstan, Cocos (Keeling) Islands, Portugal, Hong Kong, Congo (Democratic Republic of the), Bangladesh, Morocco, Kazakhstan, Malaysia
    Description

    Potential Applications of the Dataset:

    1. Geospatial Information: Precise geographical coordinates for each Walgreens store, enabling accurate mapping and spatial analysis. State-wise and city-wise breakdown of store locations for a comprehensive overview.

    2. Store Details: Store addresses, including street name, city, state, and zip code, facilitating easy identification and location-based analysis. Contact information, such as phone numbers, providing a direct link to store management.

    3. Operational Attributes: Store opening and closing hours, aiding businesses in strategic planning and market analysis. Services and amenities are available at each location, offering insights into the diverse offerings of Walgreens stores.

    4. Historical Data: Historical data on store openings and closures, providing a timeline perspective on Walgreens' expansion and market presence.

    5. Demographic Insights: Demographic information of the areas surrounding each store, empowering users to understand the local customer base.

    6. Comprehensive and Up-to-Date: Regularly updated to ensure the dataset reflects the latest information on Walgreens store locations and attributes. Detailed data quality checks and verification processes for accuracy and reliability.

    The dataset is structured in a flexible format, allowing users to tailor their queries and analyses based on specific criteria and preferences.

  14. Changes to U.S. shopping behavior if a nearby store closes down 2019, by...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Changes to U.S. shopping behavior if a nearby store closes down 2019, by generation [Dataset]. https://www.statista.com/statistics/1037436/effect-of-a-nearby-retail-store-closure-on-shopping-behavior-us/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 7, 2019 - Feb 10, 2019
    Area covered
    United States
    Description

    In 2019, ** percent of millennial consumers in the United States stated that they would continue to buy from the same retailer if that retailer had closed a store near to where they lived. The remaining ** percent of Millennials would switch to another retailer. In contrast, ** percent of baby boomers would continue to buy from the same retailer in such a situation.

  15. t

    Data from: Data for "can young-of-the-year invasive fish keep up with...

    • service.tib.eu
    Updated Nov 28, 2024
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    (2024). Data for "can young-of-the-year invasive fish keep up with young-of-the-year native fish? a comparison of feeding rates between invasive sticklebacks and whitefish" [Dataset]. https://service.tib.eu/ldmservice/dataset/rdr-doi-10-48606-8
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    Dataset updated
    Nov 28, 2024
    License

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

    Description

    Abstract: This data set provides feeding rates of juvenile sticklebacks and whitefish of various sizes feeding on seven different zooplankton species in aquaria. The data set has been analysed in Ogorelec et al. (2022) Can young-of-the-year invasive fish keep up with young-of-the-year native fish? A comparison of feeding rates between invasive sticklebacks and whitefish, Ecology & Evolution Other: The data set consists of 300 feeding observations and 5 columns: 1) fish species, 2) fish size [total size in cm], 3) fish ID, 4) zooplankton species, and 5) feeding rate (number of zooplankton ingested per 3 minutes investigation period]

  16. u

    Data from: Data archive of "Keep flexible – keep switching? Boundary...

    • epub.uni-regensburg.de
    Updated 2021
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    Kerstin Fröber; Vanessa Jurczyk; Gesine Dreisbach (2021). Data archive of "Keep flexible – keep switching? Boundary conditions of the influence of forced task switching on voluntary task switching", Journal of Experimental Psychology: Learning, Memory, and Cognition [Dataset]. https://epub.uni-regensburg.de/45547/
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    Dataset updated
    2021
    Authors
    Kerstin Fröber; Vanessa Jurczyk; Gesine Dreisbach
    Description

    Data archive with coding sheet and raw data for Experiments 1, 2, and 3

  17. T

    Italy - Population unable to keep home adequately warm: Below 60% of median...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 23, 2021
    + more versions
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    TRADING ECONOMICS (2021). Italy - Population unable to keep home adequately warm: Below 60% of median equivalised income [Dataset]. https://tradingeconomics.com/italy/population-unable-to-keep-home-adequately-warm-below-60percent-of-median-equivalised-income-eurostat-data.html
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Mar 23, 2021
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Italy
    Description

    Italy - Population unable to keep home adequately warm: Below 60% of median equivalised income was 18.40% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Italy - Population unable to keep home adequately warm: Below 60% of median equivalised income - last updated from the EUROSTAT on June of 2025. Historically, Italy - Population unable to keep home adequately warm: Below 60% of median equivalised income reached a record high of 44.00% in December of 2012 and a record low of 17.00% in December of 2021.

  18. d

    Point of Interest (POI) Data | Asia / MENA | Monitor Store Openings and...

    • datarade.ai
    .csv
    + more versions
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    GapMaps, Point of Interest (POI) Data | Asia / MENA | Monitor Store Openings and Closures for Leading Retail Brands | Business Location Data | Location Data [Dataset]. https://datarade.ai/data-products/gapmaps-asia-and-mena-point-of-interest-poi-data-all-cat-gapmaps
    Explore at:
    .csvAvailable download formats
    Dataset authored and provided by
    GapMaps
    Area covered
    Indonesia, Philippines, Saudi Arabia, Malaysia, India, Singapore
    Description

    GapMaps premium Point of Interest (POI) Data for Asia includes the most up-to-date view of store locations for over 850 leading retail brands covering 700k+ locations across Asia and MENA including Indonesia, India, Philippines, Malaysia, Singapore and Saudi Arabia.

    Point of Interest (POI) categories include Fast Food, Cafe, Fitness, Supermarket/grocery sectors which are updated monthly. Brands in other sectors are updated quarterly.

    Detailed attributes provided for each Point of Interest (POI) location include:

    • Category
    • Business Name
    • Postal code
    • Latitude and longitude
    • Street address, city, and state
    • Location Status (open or closed)
    • Location Updated Date
    • Location Validated Date

    Point of Interest (POI) datasets will be supplied as CSV file.

  19. China CN: Shanghai: Chain: Convenience Store: No of Store

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China CN: Shanghai: Chain: Convenience Store: No of Store [Dataset]. https://www.ceicdata.com/en/china/convenience-store-shanghai/cn-shanghai-chain-convenience-store-no-of-store
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    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2008 - Dec 1, 2019
    Area covered
    China
    Variables measured
    Domestic Trade
    Description

    Shanghai: Chain: Convenience Store: Number of Store data was reported at 6,391.000 Unit in 2019. This records an increase from the previous number of 6,279.000 Unit for 2018. Shanghai: Chain: Convenience Store: Number of Store data is updated yearly, averaging 5,764.000 Unit from Dec 2005 (Median) to 2019, with 15 observations. The data reached an all-time high of 6,464.000 Unit in 2011 and a record low of 4,060.000 Unit in 2005. Shanghai: Chain: Convenience Store: Number of Store data remains active status in CEIC and is reported by Ministry of Commerce, China General Chamber of Commerce. The data is categorized under China Premium Database’s Wholesale, Retail and Catering Sector – Table CN.CRAB: Convenience Store: Shanghai.

  20. T

    Occupational Health Record-keeping System (OHRS)

    • data.va.gov
    • datahub.va.gov
    • +2more
    application/rdfxml +5
    Updated Sep 12, 2019
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    (2019). Occupational Health Record-keeping System (OHRS) [Dataset]. https://www.data.va.gov/dataset/Occupational-Health-Record-keeping-System-OHRS-/j3ss-2phg
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    application/rdfxml, csv, xml, json, application/rssxml, tsvAvailable download formats
    Dataset updated
    Sep 12, 2019
    Description

    Occupational Health Record-keeping System (OHRS) is part of the Clinical Information Support System (CISS) portal framework and the initial CISS partner system. OHRS is a web-based application that enables employee occupational health staff to create, maintain, and monitor medical records for VA employees and generate national, Veterans Integrated Service Network (VISN), and site-specific reports.The focus of OHRS is to collect clinical data for wellness, medical surveillance, and appropriate treatment of work-based injury or illness. OHRS will capture and store information on patient encounters, such as encounter type, purpose, status, provider, and other pertinent clinical data obtained during the patient visit. Users with appropriate security privileges are allowed to add and sign or co-sign the encounter and, if needed, perform scheduled and unscheduled reporting on items such as vaccination rates, vaccination and immunity statuses. The OHRS application does not share patient-specific data, but will collect data elements limited to information deemed critical to the Occupational Health delivery of care processes in the OHRS database. Employee data is obtained from the central Personnel and Accounting Integrated Data System (PAID) while volunteer information is obtained from the Voluntary Service System (VSS). Other Non-Paid and non-VSS data is collected by direct data entry into OHRS at the time of the patient encounter. OHRS is further designed to document, track and report immunizations administered to other Federal Agency employees outside of VA.

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Work With Data (2024). Dataset of book subjects that contain Keep moving and other tips and truths about aging [Dataset]. https://www.workwithdata.com/datasets/book-subjects?f=1&fcol0=j0-book&fop0=%3D&fval0=Keep+moving+and+other+tips+and+truths+about+aging&j=1&j0=books

Dataset of book subjects that contain Keep moving and other tips and truths about aging

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Dataset updated
Nov 7, 2024
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

This dataset is about book subjects. It has 3 rows and is filtered where the books is Keep moving and other tips and truths about aging. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

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