30 datasets found
  1. U

    U.S. Exports Commodity Classification, 1999

    • dataverse-staging.rdmc.unc.edu
    Updated Nov 30, 2007
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    UNC Dataverse (2007). U.S. Exports Commodity Classification, 1999 [Dataset]. https://dataverse-staging.rdmc.unc.edu/dataset.xhtml?persistentId=hdl:1902.29/CD-0034
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    Dataset updated
    Nov 30, 2007
    Dataset provided by
    UNC Dataverse
    License

    https://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=hdl:1902.29/CD-0034https://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=hdl:1902.29/CD-0034

    Description

    The U.S. Exports Commodity Classification CD-ROM is a reference tool that will help you quickly find the 10-digit HS-Based Schedule B numbers for commodities. It contains the complete database of commodity codes and descriptions as well as powerful software for searching the database. It is a Windows 3.1 application.Note to Users: This CD is part of a collection located in the Data Archive of the Odum Institute for Research in Social Science, at the University of North Carolina at Chap el Hill. The collection is located in Room 10, Manning Hall. Users may check out the CDs, subscribing to the honor system. Items can be checked out for a period of two weeks. Loan forms are located adjacent to the collection.

  2. D

    Form 700 Schedule B - Interests in Real Property

    • data.sfgov.org
    • catalog.data.gov
    application/rdfxml +5
    Updated Jul 20, 2025
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    Ethics Commission (2025). Form 700 Schedule B - Interests in Real Property [Dataset]. https://data.sfgov.org/City-Management-and-Ethics/Form-700-Schedule-B-Interests-in-Real-Property/9dv8-3432
    Explore at:
    csv, application/rdfxml, json, application/rssxml, tsv, xmlAvailable download formats
    Dataset updated
    Jul 20, 2025
    Dataset authored and provided by
    Ethics Commission
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    This dataset is updated weekly. For more up-to-date filings, refer to the "View Filed Statements" or "Search Within Statements" links on the Ethics Commission webpage.

    Interests in Real Property (including rental income) in the jurisdiction Link to Form 700 overview: http://www.fppc.ca.gov/Form700.html In this dataset the fields "incomeSources" and "loan_address" are redacted. This dataset contains records from Schedule B across electronic Form 700 filings with the SFEC since January 1, 2014. To see all the data from a specific filing, you should search all the datasets listed on this page and filter by the filingId of the specific filing.

    Prior to the start of e-filing for all in 2022, elected officials, department heads, and members of boards and Commissions filed the Form 700 with the Ethics Commission; designated employees filed the Form 700 on paper with their department's designated filing officer.

  3. Schedule B - Basin Salinity Management - Dataset - FPBOK

    • fpbok.mdba.gov.au
    Updated Dec 6, 2023
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    mdba.gov.au (2023). Schedule B - Basin Salinity Management - Dataset - FPBOK [Dataset]. https://fpbok.mdba.gov.au/dataset/schedule-b-basin-salinity-management
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    Dataset updated
    Dec 6, 2023
    Dataset provided by
    Murray–Darling Basin Authorityhttp://www.mdba.gov.au/
    License

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

    Description

    "SCHEDULE B—BASIN SALINITY MANAGEMENT" contained within the Water Act 2007

  4. a

    Schedule B: Kedron Environmental Management Part II Plan

    • city-oshawa.opendata.arcgis.com
    • communautaire-esrica-apps.hub.arcgis.com
    Updated Nov 27, 2019
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    City of Oshawa (2019). Schedule B: Kedron Environmental Management Part II Plan [Dataset]. https://city-oshawa.opendata.arcgis.com/content/ea12bf60ef924dd9b924b4eb4572067d
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    Dataset updated
    Nov 27, 2019
    Dataset authored and provided by
    City of Oshawa
    Area covered
    Description

    An Official Plan is a document that sets out the land use policy directions for long-term growth and development in a municipality.

  5. g

    Application for Reduction in Long-Term Care Home Basic Accommodation -...

    • forms.mgcs.gov.on.ca
    Updated Aug 28, 2024
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    (2024). Application for Reduction in Long-Term Care Home Basic Accommodation - Schedule B: Child Dependant [Dataset]. https://forms.mgcs.gov.on.ca/dataset/045-4806-69
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    Dataset updated
    Aug 28, 2024
    Description

    To be used by residents of LTC homes who would like to apply for a reduction in the amount of their basic accommodation fees. This schedule should be used with one of the four main forms. An applicant should use this schedule if they would like to request a deduction to support an eligible child living in the community.

  6. v

    Schedule B - Intake Protection Zone: Kingston Zoning By-Law (2022-62)

    • anrgeodata.vermont.gov
    • opendatakingston.cityofkingston.ca
    • +1more
    Updated Jul 28, 2021
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    The City of Kingston (2021). Schedule B - Intake Protection Zone: Kingston Zoning By-Law (2022-62) [Dataset]. https://anrgeodata.vermont.gov/maps/62b615138148489f8f1f7ef4f8cb6433_0/about
    Explore at:
    Dataset updated
    Jul 28, 2021
    Dataset authored and provided by
    The City of Kingston
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Water Intake Protection Zones, classified as IPZ-1, IPZ-2, or IPZ-3, as described in Schedule B of Kingston Zoning By-Law 2022-62 City Council enacted the new Kingston Zoning Bylaw Number 2022-62 on April 26, 2022. The Kingston Zoning Bylaw regulates the use of lands and the size and location of buildings for almost all properties in the City of Kingston (all properties except those identified as “Not Subject to this By-law”).If you have questions about the existing zoning for a property or properties in the City of Kingston, please visit https://www.cityofkingston.ca/business/planning-and-development/zoning

  7. D

    [Deprecated] Form 700 Schedule B

    • data.sfgov.org
    application/rdfxml +5
    Updated Aug 3, 2018
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    Ethics Commission (2018). [Deprecated] Form 700 Schedule B [Dataset]. https://data.sfgov.org/City-Management-and-Ethics/-Deprecated-Form-700-Schedule-B/tcn4-z9dy
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    tsv, application/rssxml, xml, csv, application/rdfxml, jsonAvailable download formats
    Dataset updated
    Aug 3, 2018
    Dataset authored and provided by
    Ethics Commission
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    [Deprecated] This dataset will not be updated going forward and has been replaced by a version which can be found at https://data.sfgov.org/d/9dv8-3432

    ++++++++++

    Rental property in the jurisdiction

    Link to Form 700 overview: http://www.fppc.ca.gov/Form700.html

  8. c

    CAL FIRE Facilities for Wildland Fire Protection

    • hub.scag.ca.gov
    Updated Mar 18, 2021
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    rdpgisadmin (2021). CAL FIRE Facilities for Wildland Fire Protection [Dataset]. https://hub.scag.ca.gov/items/c53f27c6587c4d92bec3734964b249ab
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    Dataset updated
    Mar 18, 2021
    Dataset authored and provided by
    rdpgisadmin
    Area covered
    Description

    This dataset includes fire stations and other facilities owned and operated by CALFIRE or by counties or other local government entities. The "Type" of facility includes five categories of Fire Station:

    • Fire Station - Schedule B (funded by the State for wildland fire protection - commonly referred to as "Schedule B" funding)

    • Fire Station - Schedule A (funded by a local agency under a cooperative fire agreement with the State)

    • Fire Station - Schedule A/B (Funded by both the State and by a local agency)

    • Fire Station - Contract County (funded by the State and operated by the county under contract - referred to as "Greybook" funding)

    • Fire Station - Local funded and volunteer. Only for some areas. Not exhaustive.

    Other Types include Sacramento Administration, Region Headquarters, State Fire Marshal Office, Operations Center, Unit Headquarters, Air Attack Base, Helitack Base, Nursery, Conservation Camp, Youth Conservation Camp, Lookout, Communications Site, Combined Communications Site and Lookout, Emergency Command Center, Interagency Emergency Command Center, Equipment Facility, State Forest Visitor Center, Demonstration Site Area, Training Center, Headquarters.

  9. g

    Official Plan Schedule B - Aggregate Resource Area

    • maps.grey.ca
    • hub.arcgis.com
    • +1more
    Updated Mar 28, 2023
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    Grey County (2023). Official Plan Schedule B - Aggregate Resource Area [Dataset]. https://maps.grey.ca/datasets/grey::official-plan-schedule-b-aggregate-resource-area
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    Dataset updated
    Mar 28, 2023
    Dataset authored and provided by
    Grey County
    Area covered
    Description

    Aggregate Resource Areas in Grey County from 2018 Official Plan, Schedule B are defined as lands with high quality sand and gravel resources (often referred to as aggregate resources), which may be needed for future resource extraction.

  10. w

    ERISA Public Disclosure System Pension Plan Actuarial Schedule B Database

    • data.wu.ac.at
    Updated Jan 11, 2017
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    Department of Labor (2017). ERISA Public Disclosure System Pension Plan Actuarial Schedule B Database [Dataset]. https://data.wu.ac.at/schema/data_gov/ODk4Y2FjMmItYjM5ZS00N2Q4LTliNGItNjYwYjJjNTNiNzdi
    Explore at:
    Dataset updated
    Jan 11, 2017
    Dataset provided by
    Department of Labor
    License

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

    Description

    Database contains Schedule B, MB, and SB forms released under the Pension Protection Act.

  11. A

    ‘Form 700 Schedule B - Interests in Real Property’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 26, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Form 700 Schedule B - Interests in Real Property’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-form-700-schedule-b-interests-in-real-property-e9e1/latest
    Explore at:
    Dataset updated
    Jan 26, 2022
    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 ‘Form 700 Schedule B - Interests in Real Property’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/d50cdf2f-f4f0-42b1-b252-913d9645ef19 on 26 January 2022.

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

    Interests in Real Property (including rental income) in the jurisdiction Link to Form 700 overview: http://www.fppc.ca.gov/Form700.html In this dataset the fields "incomeSources" and "loan_address" are redacted. This dataset contains records from Schedule B across all electronic Form 700 filings with the SFEC. To see all the data from a specific filing, you should search all the datasets listed on this page and filter by the filingId of the specific filing.

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

  12. g

    Official Plan Schedule B - Mineral Resource Extraction Area

    • maps.grey.ca
    • grey-county-gis-2-grey.hub.arcgis.com
    Updated Mar 28, 2023
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    Grey County (2023). Official Plan Schedule B - Mineral Resource Extraction Area [Dataset]. https://maps.grey.ca/datasets/official-plan-schedule-b-mineral-resource-extraction-area
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    Dataset updated
    Mar 28, 2023
    Dataset authored and provided by
    Grey County
    Area covered
    Description

    Mineral Resource Extraction Areas in Grey County from Official Plan, Schedule B are defined as sand and gravel pits, as well as stone quarries, which are licensed by the Ministry of Natural Resources and Forestry.

  13. n

    Schisandrin B (Sch B)

    • coconut.naturalproducts.net
    Updated Jun 22, 2025
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    COCONUT - COlleCtion of Open Natural prodUcTs (2025). Schisandrin B (Sch B) [Dataset]. https://coconut.naturalproducts.net/compounds/CNP0234923.4
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    Dataset updated
    Jun 22, 2025
    Dataset authored and provided by
    COCONUT - COlleCtion of Open Natural prodUcTs
    License

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

    Description

    Natural product in the COCONUT database with details of source organisms, geolocations and citations.

  14. c

    Schedule B - Wellhead Protection Area: Kingston Zoning By-Law (2022-62)

    • opendatakingston.cityofkingston.ca
    Updated Jul 28, 2021
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    The City of Kingston (2021). Schedule B - Wellhead Protection Area: Kingston Zoning By-Law (2022-62) [Dataset]. https://opendatakingston.cityofkingston.ca/datasets/schedule-b-wellhead-protection-area-kingston-zoning-by-law-2022-62
    Explore at:
    Dataset updated
    Jul 28, 2021
    Dataset authored and provided by
    The City of Kingston
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Wellhead protection areas are areas of land surrounding a well, where human activities may need to be regulated to protect the quality and quantity of groundwater that supplies that well. Cana Wellhead protection area is a highly vulnerable water source. Dataset maintained by CRCA.City Council enacted the new Kingston Zoning Bylaw Number 2022-62 on April 26, 2022. The Kingston Zoning Bylaw regulates the use of lands and the size and location of buildings for almost all properties in the City of Kingston (all properties except those identified as “Not Subject to this By-law”).If you have questions about the existing zoning for a property or properties in the City of Kingston, please visit https://www.cityofkingston.ca/business/planning-and-development/zoning

  15. s

    Historical Land Use Designations (OCP Schedule B)

    • data.squamish.ca
    • hub.arcgis.com
    Updated Apr 30, 2016
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    District of Squamish (2016). Historical Land Use Designations (OCP Schedule B) [Dataset]. https://data.squamish.ca/datasets/19eb27818cb94bc7bb0ea0c2ca688328
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    Dataset updated
    Apr 30, 2016
    Dataset authored and provided by
    District of Squamish
    Area covered
    Description

    Historical Land Use DesignationsOCP 2010 (replaced by OCP2040)

  16. i

    Comercio Externo - Datasets - Indicadores.PR

    • indicadores.pr
    Updated Mar 9, 2022
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    (2022). Comercio Externo - Datasets - Indicadores.PR [Dataset]. https://indicadores.pr/dataset/comercio-externo
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    Dataset updated
    Mar 9, 2022
    License

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

    Description

    Archivos con datos del comercio externo de bienes de Puerto Rico. En específico, para cada mes, cada tipo de bien y cada país origen/destino, se presenta el valor de los bienes importados o enviados a Puerto Rico, y el valor de los bienes exportados o enviados desde Puerto Rico. Los tipos de bienes se clasifican según el sistema de 10 dígitos del Harmonized Tariff Schedule y del Schedule B. Se provee también clasificaciones por el North American Industrial Classification System (NAICS), Standard International Trade Classification (SITC) y End-Use. Los países origen/destino incluyen todos los países del mundo, incluyendo los Estados Unidos. También, se incluye como país las Islas Vírgenes de los Estados Unidos. Estos conjuntos de datos se prepararon usando como fuente de datos el U.S. Census Bureau. Nota aclaratoria: Todos los años, el censo revisa los datos de los últimos 3 años y se publican en el mes julio. Por ejemplo, en Julio 2022 se publicaron los datos revisados de 2019, 2020 y 2021.

  17. c

    Internet Connectivity

    • data.clevelandohio.gov
    Updated Aug 21, 2023
    + more versions
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    Cleveland | GIS (2023). Internet Connectivity [Dataset]. https://data.clevelandohio.gov/datasets/ClevelandGIS::demographic-profiles?layer=7
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    Dataset updated
    Aug 21, 2023
    Dataset authored and provided by
    Cleveland | GIS
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description
    This layer shows computer ownership and type of internet subscription. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.

    This layer is symbolized to show the percentage of households with no internet connection. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right.

    Current Vintage: 2019-2023
    ACS Table(s): B28001, B28002 (Not all lines of ACS table B28002 are available in this feature layer)

    The United States Census Bureau's American Community Survey (ACS):
    This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.

    Data Note from the Census:
    Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.

    Data Processing Notes:
    • This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.
    • Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2022 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).
    • The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico
    • Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).
    • Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.
    • Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.
    • Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:
      • The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.
      • Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.
      • The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.
      • The estimate is controlled. A statistical test for sampling variability is not appropriate.
      • The data for this geographic area cannot be displayed because the number of sample cases is too small.

  18. Ngā Taonga Nui a Kiwa (Schedule B)

    • opendata.gw.govt.nz
    • hub.arcgis.com
    Updated May 22, 2023
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    Greater Wellington Regional Council (2023). Ngā Taonga Nui a Kiwa (Schedule B) [Dataset]. https://opendata.gw.govt.nz/items/bddc318209594b1db069d6b7b5f00dc0
    Explore at:
    Dataset updated
    May 22, 2023
    Dataset authored and provided by
    Greater Wellington Regional Councilhttps://www.gw.govt.nz/
    Area covered
    Description

    Data has been created from hosted feature service (https://mapping.gw.govt.nz/arcgis/rest/services/GW/NRPMap_P_operative/MapServer). It has been shared to the Open Data Portal. Waterbodies and catchments including rivers, lakes, harbours and open sea areas with significance to and identified as taonga by mana whenua iwi in the Wellington Region. This schedule relates to catchment management and shared decision making principles enbodied in the Plan. In particular the schedule recognises that kaitiakitanga shall be recognised and provided for by managing natural and physical resources in accordance with tikanga and kaupapa Māori as exercised by mana whenua, and that land and water resources will be managed recognising ki uta ki tai by using the principles of integrated catchment management.

  19. i

    Population and Housing Census 1991 - IPUMS Subset - Uganda

    • datacatalog.ihsn.org
    • catalog.ihsn.org
    • +1more
    Updated Mar 29, 2019
    + more versions
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    Uganda Bureau of Statistics (2019). Population and Housing Census 1991 - IPUMS Subset - Uganda [Dataset]. https://datacatalog.ihsn.org/catalog/689
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    Dataset updated
    Mar 29, 2019
    Dataset provided by
    Minnesota Population Center
    Uganda Bureau of Statistics
    Time period covered
    1991
    Area covered
    Uganda
    Description

    Abstract

    IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

    The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

    Geographic coverage

    National coverage

    Analysis unit

    Households

    UNITS IDENTIFIED: - Dwellings: Yes - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: Yes - Special populations: Yes - visitors

    UNIT DESCRIPTIONS: - Dwellings: The accommodation occupied by one household is the dwelling unit. - Households: A household is a group of persons who normally live and eat together, regardless of whether they are related. - Group quarters: Sometimes groups of people live together but cannot be said to belong to a household. Persons in hospitals, colleges, barracks and prisons are examples.

    Universe

    All persons who are in Uganda the night of the census, regardless of their nationality.

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    SAMPLE DESIGN: A sample of approximately 10% of the rural Enumeration areas where a long questionnaire was administered to the households (excluding INSTITUTIONS) these areas (LONG_RURAL), while ALL urban areas (11.3% of the population) were enumerated with a long questionnaire (URBAN). Thus the data set consists of these two sets (LONG RURAL and URBAN). The data also includes a variable called weight which is record-specific. This is the weight which you should use, and the information you will get will be representative of the Household Population ONLY (= 98%).

    SAMPLE UNIT: Enumeration Area

    SAMPLE FRACTION: 10%

    SAMPLE SIZE (person records): 1,548,460

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Schedule A: short form and Schedule B: long form

  20. f

    Effect of the long-term treatment with Sch A and Sch B on pro-inflammatory...

    • figshare.com
    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    Pou Kuan Leong; Hoi Shan Wong; Jihang Chen; Wing Man Chan; Hoi Yan Leung; Kam Ming Ko (2023). Effect of the long-term treatment with Sch A and Sch B on pro-inflammatory cytokines in carrageenan-induced paw edema in mice. [Dataset]. http://doi.org/10.1371/journal.pone.0155879.t006
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Pou Kuan Leong; Hoi Shan Wong; Jihang Chen; Wing Man Chan; Hoi Yan Leung; Kam Ming Ko
    License

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

    Description

    Effect of the long-term treatment with Sch A and Sch B on pro-inflammatory cytokines in carrageenan-induced paw edema in mice.

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UNC Dataverse (2007). U.S. Exports Commodity Classification, 1999 [Dataset]. https://dataverse-staging.rdmc.unc.edu/dataset.xhtml?persistentId=hdl:1902.29/CD-0034

U.S. Exports Commodity Classification, 1999

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Dataset updated
Nov 30, 2007
Dataset provided by
UNC Dataverse
License

https://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=hdl:1902.29/CD-0034https://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=hdl:1902.29/CD-0034

Description

The U.S. Exports Commodity Classification CD-ROM is a reference tool that will help you quickly find the 10-digit HS-Based Schedule B numbers for commodities. It contains the complete database of commodity codes and descriptions as well as powerful software for searching the database. It is a Windows 3.1 application.Note to Users: This CD is part of a collection located in the Data Archive of the Odum Institute for Research in Social Science, at the University of North Carolina at Chap el Hill. The collection is located in Room 10, Manning Hall. Users may check out the CDs, subscribing to the honor system. Items can be checked out for a period of two weeks. Loan forms are located adjacent to the collection.

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