4 datasets found
  1. a

    COVID-19 Cases and Deaths In Oklahoma At ZipCode Level

    • one-health-data-hub-osu-geog.hub.arcgis.com
    Updated May 20, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    snakka_OSU_GEOG (2024). COVID-19 Cases and Deaths In Oklahoma At ZipCode Level [Dataset]. https://one-health-data-hub-osu-geog.hub.arcgis.com/items/aa6b7b98d21444e3b98a46e2857af608
    Explore at:
    Dataset updated
    May 20, 2024
    Dataset authored and provided by
    snakka_OSU_GEOG
    Area covered
    Description

    Detailed Description:ID: Unique index number for each data entry.state_fips: State FIPS (Federal Information Processing Standards) Code.state_name: State name.zip_code: ZIP code.cases: Number of cumulative cases of COVID-19 reported in the ZIP code.deaths: Number of cumulative deaths due to COVID-19 reported in the ZIP code.recovered: Number of cumulative recovered cases of COVID-19 reported in the ZIP code.date: Date of case report.total_popu: Number of population in the reported ZIP code.case_rate: Reported cases rate according to ZIP code (cases per population).death_rate: Reported death rate according to ZIP code (deaths per population).active_cas: Number of active cases reported by ZIP code.active_rate: Reported active case rate according to ZIP code (active cases per population).This dataset provides valuable insights and can be utilized in various ways:Localized Analysis: Researchers can analyze COVID-19 trends at the zip code level to identify hotspots, monitor transmission patterns, and assess the impact of interventions in specific communities.Resource Allocation: Healthcare providers and policymakers can use this data to allocate resources such as testing kits, medical supplies, and healthcare personnel based on the severity of the outbreak in different ZIP codes.Targeted Interventions: Public health officials can implement targeted interventions, such as localized lockdowns, contact tracing, and vaccination campaigns, to control transmission and mitigate the spread of the virus in highly affected areas.Community Engagement: By making this data accessible to the public, it facilitates community engagement, encourages adherence to preventive measures, and fosters collaboration between residents, local authorities, and healthcare organizations to combat COVID-19 effectively.

  2. a

    Canadian County Parcel Data (Public)

    • hub.arcgis.com
    • canadian-county-public-gis-data-canadiancounty.hub.arcgis.com
    • +1more
    Updated Aug 7, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CanadianCounty (2023). Canadian County Parcel Data (Public) [Dataset]. https://hub.arcgis.com/maps/7bbc6322290241a891f237dc43ed16bd
    Explore at:
    Dataset updated
    Aug 7, 2023
    Dataset authored and provided by
    CanadianCounty
    Area covered
    Description

    The Canadian County Parcel Data Public View is a set of geospatial features representing the surface ownership of property in fee simple for property tax purposes as required by 68 O.S. § 2821 and other related data used to produce the parcels such as subdivision boundaries and subdivision lots. The data is created from source documentation filed with the Canadian County Clerk's Office including deeds, easements, and plats. Other data sources such as filed Certified Corner Records filed with the State of Oklahoma or highway plans produced by the Department of Transportation may be used to adjust parcel boundaries. Single legal descriptions may be split up into two or more parcels if the description crosses the boundaries of multiple taxing jurisdictions or crosses quarter section boundaries. Accuracy of parcel data can vary considerably due to a combination of factors. Most parcels and subdivision legal descriptions reference a quarter section or quarter section corner. The accuracy of the quarter section corners is discussed with Canadian County's Public Land Survey System Data. Accuracy is further enhanced or degraded by the quality of the legal description used to create the feature. Generally, legal descriptions created from surveys will have higher accuracy the newer they were created due to improvements in the field of surveying. However, it can be difficult to determine the age of a legal description as descriptions are generally reused on subsequent deeds after the description was first created. Legal descriptions can occasionally contain updated bearings and distances and may denote the updates. The Assessor's Office uses the latest available legal description for creating parcels. Legal descriptions may lack specificity such as the use of "North" instead of a measured bearing or have missing parameters such as missing bearings for curved boundaries. In these cases, parcel data accuracy can be degraded. Further, if a legal description contains a specific landmark or boundary, sometimes called a "bound", the boundary is drawn to that point or landmark regardless of whether the bearing and/or distance accurately arrive at that point. For instance, if a legal description reads "...to the south line of the southeast quarter", the boundary is drawn to the south line of the quarter section even if the bearing and distance are short of or extend beyond that point. Because parcel data must be created for the entire county regardless of the accuracy of the descriptions used to create those parcels, parcels may need to be "stretched" or "squeezed" to make them fit together. When possible, the Assessor's Office relies on the most accurate legal descriptions to set the boundaries and then fits older boundaries to them. Due to the large number of variables, parcel data accuracy cannot be guaranteed nor can the level of accuracy be described for the entire dataset. While Canadian County makes every reasonable effort to make sure parcel data is accurate, this data cannot be used in place of a survey performed by an Oklahoma Licensed Professional Land Surveyor.ParcelDataExternal - Polygons representing surface fee simple title. This parcel data formatted and prepared for public use. Some fields may be blank to comply with 22 O.S. § 60.14 & 68 O.S. § 2899.1Attributes:Account (account): The unique identifier for parcel data generated by the appraisal software used by the Assessor's Office"A" Number (a_number): An integer assigned in approximate chronological order to represent each parcel divided per quarter sectionParcel ID (parcel_id): Number used to identify parcels geographically, see Parcel Data Export Appendix A for an in-depth explanation. This identifier is not unique for all parcelsParcel Size (parcel_size): Size of the parcels, must be used in conjunction with following units fieldParcel Size Units (parcel_size_units): Units for the size of the parcel. Can be "Acres" or "Lots" for parcels within subdivisions that are valued per lotOwner's Name (owners_name): Name of the surface owner of the property in fee simple on recordMailing Information (mail_info): Extra space for the owners name if needed or trustee namesMailing Information 2 (mail_info2): Forwarded mail or "In care of" mailing informationMailing Address (mail_address): Mailing address for the owner or forwarding mailing addressMailing City (mail_city): Mailing or postal cityMailing State (mail_state): Mailing state abbreviated to standard United States Postal Service codesMailing ZIP Code (mail_zip): Mailing ZIP code as determined by the United States Postal ServiceTax Area Code (tax_area): Integer numeric code representing an area in which all the taxing jurisdictions are the same. See Parcel Data Appendix B for a more detailed description of each tax areaTax Area Description (tax_area_desc): Character string code representing the tax area. See Parcel Data Appendix B for a more detailed description of each tax areaProperty Class (prop_class): The Assessor's Office classification of each parcel by rural (no city taxes) or urban (subject to city taxes) and exempt, residential, commercial, or agriculture. This classification system is for property appraisal purposes and does not reflect zoning classifications in use by municipalities. See Parcel Data Appendix B for a more detailed description of each property classificationLegal Description (legal): A highly abbreviated version of the legal description for each parcel. This legal description may not match the most recent legal description for any given property due to administrative divisions as described above, or changes made to the property by way of recorded instruments dividing smaller parcels from the original description. This description may NOT be used in place of a true legal descriptionSubdivision Code (subdiv_code): A numeric code representing a recorded subdivision plat which contains the parcel. This value will be "0" for any parcel not part of a recorded subdivision plat.Subdivision Name (subdiv_name): The name of the recorded subdivision plat abbreviated as needed to adapt to appraisal software field limitationsSubdivision Block Number (subdiv_block): Numeric field representing the block number of a parcel. This value will be "0" if the parcel is not in a recorded subdivision plat or if the plat did not contain block numbersSubdivision Lot Number (subdiv_lot): Numeric field representing the lot number of a parcel. This value will be "0" if the parcel is not in a recorded subdivision platTownship Number (township): Numeric field representing the Public Land Survey System tier or township the parcel is located in. All townships or tiers in Canadian County are north of the base line of the Indian Meridian.Range Number (range): Numeric field representing the Public Land Survey System range the parcel is located in. All Ranges in Canadian County are west of the Indian MeridianSection Number (section): Numeric field representing the Public Land Survey System section number the parcel is located inQuarter Section Code (quarter_sec): Numeric field with a code representing the quarter section a majority of the parcel is located in, 1 = Northeast Quarter, 2 = Northwest Quarter, 3 = Southwest Quarter, 4 = Southeast QuarterSitus Address (situs): Address of the property itself if it is knownSitus City (situs_city): Name of the city the parcel is actually located in (regardless of the postal city) or "Unincorporated" if the parcel is outside any incorporated city limitsSitus ZIP Code (situs_zip): ZIP Code as determined by the United States Postal Service for the property itself if it is knownLand Value (land_val): Appraised value of the land encompassed by the parcel as determined by the Assessor's OfficeImprovement Value (impr_val): Appraised value of the improvements (house, commercial building, etc.) on the property as determined by the Assessor's OfficeManufactured Home Value (mh_val): Appraised value of any manufactured homes on the property and owned by the same owner of the land as determined by the Assessor's OfficeTotal Value (total_val): Total appraised value for the property as determined by the Assessor's OfficeTotal Capped Value (cap_val): The capped value as required by Article X, Section 8B of the Oklahoma ConstitutionTotal Assessed Value (total_assess): The capped value multiplied by the assessment ratio of Canadian County, which is 12% of the capped valueHomestead Exempt Amount (hs_ex_amount): The amount exempt from the assessed value if a homestead exemption is in placeOther Exempt Value (other_ex_amount): The amount exempt from the assessed value if other exemptions are in placeTaxable Value (taxable_val): The amount taxes are calculated on which is the total assessed value minus all exemptionsSubdivisions - Polygons representing a plat or subdivision filed with the County Clerk of Canadian County. Subdivision boundaries may be revised by vacations of the plat or subdivision or by replatting a portion or all of a subdivision. Therefore, subdivision boundaries may not match the boundaries as shown on the originally filed plat.Attributes:Subdivision Name (subdivision_name): The name of the plat or subdivisionSubdivision Number (subdivision_number): An ID for each subdivision created as a portion of the parcel ID discussed in Parcel Data Export Appendix APlat Book Number (book): The book number for the recorded documentPlat Book Page Number (page): The page number for the recorded documentRecorded Acres (acres): The number of acres within the subdivision if knownRecorded Date (recorded_date): The date the document creating the subdivision was recordedDocument URL (clerk_url): URL to download a copy of the document recorded by the Canadian County Clerk's OfficeBlocks - Polygons derived from subdivision lots representing the blocks

  3. a

    Average Air Temperature Data In Oklahoma At Zipcode Level

    • one-health-data-hub-osu-geog.hub.arcgis.com
    Updated May 24, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    snakka_OSU_GEOG (2024). Average Air Temperature Data In Oklahoma At Zipcode Level [Dataset]. https://one-health-data-hub-osu-geog.hub.arcgis.com/items/14a356f8c062449784fcd8d9e6e401ec
    Explore at:
    Dataset updated
    May 24, 2024
    Dataset authored and provided by
    snakka_OSU_GEOG
    Area covered
    Description

    The variables extracted from this dataset are Daytime and Nighttime land surface temperatures in degrees Celsius. The data covers the period from January 1, 2020, to December 31, 2023, offering a comprehensive view over four years. It includes quality control assessments, observation times, view zenith angles, clear-sky coverages, and emissivity values for different land cover types.The dataset integrates spatial boundaries from shapefiles with the imagery raster files to provide data at various geographical levels, including state, county, census tract, and zip code, although your specific analysis seems to focus on the state level in Oklahoma.The data is updated every 8 days, aligning with the ground track repeat period of the Terra and Aqua platforms. The provided data link directs to the Earth Engine catalog, offering access to the MOD11A2 dataset.Column NameDescriptionStateNameName of the stateStateFipsState FIPS codeZipCodeZipcode of geographical areaDateDate at which temperature is recordedLST_Day_1kmDay land surface temperature in degrees CelsiusLST_Night_1kmNight land surface temperatureEach column represents a different attribute of the data, such as the name of the state, its FIPS code, zipcode, date of temperature recording, daytime land surface temperature, and nighttime land surface temperature.

  4. a

    Average Air Temperature In Oklahoma At CensusTract Level

    • one-health-data-hub-osu-geog.hub.arcgis.com
    Updated May 23, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    snakka_OSU_GEOG (2024). Average Air Temperature In Oklahoma At CensusTract Level [Dataset]. https://one-health-data-hub-osu-geog.hub.arcgis.com/items/3152a662a2074e6a93b723ff71979f5e
    Explore at:
    Dataset updated
    May 23, 2024
    Dataset authored and provided by
    snakka_OSU_GEOG
    Area covered
    Description

    The dataset utilizes satellite imagery raster files from the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature/Emissivity 8-Day (MOD11A2) Version 6.1 product. This data provides an average 8-day per-pixel Land Surface Temperature and Emissivity (LST&E) with a spatial resolution of 1 kilometer within a 1,200 by 1,200 km grid.The variables extracted from this dataset are Daytime and Nighttime land surface temperatures in degrees Celsius. The data covers the period from January 1, 2020, to December 31, 2023, offering a comprehensive view over four years. It includes quality control assessments, observation times, view zenith angles, clear-sky coverages, and emissivity values for different land cover types.The dataset integrates spatial boundaries from shapefiles with the imagery raster files to provide data at various geographical levels, including state, county, census tract, and zip code, although your specific analysis seems to focus on the state level in Oklahoma.Field NameDescriptionStateNameName of the stateStateFipsState FIPS codeCountyFipsCounty FIPS codeTractFipsCenstract FIPS code of geographic areaDateDate at which temperature is recorded in that geographical areaLST_Day_1kmDay land surface temperature in degree Celsius (°C)LST_Night_1kmNight land surface temperature in degree Celsius (°C)The data is updated every 8 days, aligning with the ground track repeat period of the Terra and Aqua platforms. The provided data link directs to the Earth Engine catalog, offering access to the MOD11A2 dataset.

  5. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
snakka_OSU_GEOG (2024). COVID-19 Cases and Deaths In Oklahoma At ZipCode Level [Dataset]. https://one-health-data-hub-osu-geog.hub.arcgis.com/items/aa6b7b98d21444e3b98a46e2857af608

COVID-19 Cases and Deaths In Oklahoma At ZipCode Level

Explore at:
Dataset updated
May 20, 2024
Dataset authored and provided by
snakka_OSU_GEOG
Area covered
Description

Detailed Description:ID: Unique index number for each data entry.state_fips: State FIPS (Federal Information Processing Standards) Code.state_name: State name.zip_code: ZIP code.cases: Number of cumulative cases of COVID-19 reported in the ZIP code.deaths: Number of cumulative deaths due to COVID-19 reported in the ZIP code.recovered: Number of cumulative recovered cases of COVID-19 reported in the ZIP code.date: Date of case report.total_popu: Number of population in the reported ZIP code.case_rate: Reported cases rate according to ZIP code (cases per population).death_rate: Reported death rate according to ZIP code (deaths per population).active_cas: Number of active cases reported by ZIP code.active_rate: Reported active case rate according to ZIP code (active cases per population).This dataset provides valuable insights and can be utilized in various ways:Localized Analysis: Researchers can analyze COVID-19 trends at the zip code level to identify hotspots, monitor transmission patterns, and assess the impact of interventions in specific communities.Resource Allocation: Healthcare providers and policymakers can use this data to allocate resources such as testing kits, medical supplies, and healthcare personnel based on the severity of the outbreak in different ZIP codes.Targeted Interventions: Public health officials can implement targeted interventions, such as localized lockdowns, contact tracing, and vaccination campaigns, to control transmission and mitigate the spread of the virus in highly affected areas.Community Engagement: By making this data accessible to the public, it facilitates community engagement, encourages adherence to preventive measures, and fosters collaboration between residents, local authorities, and healthcare organizations to combat COVID-19 effectively.

Search
Clear search
Close search
Google apps
Main menu