This feature class is part of the Cadastral National Spatial Data Infrastructure (NSDI) CADNSDI publication data set for rectangular and non-rectangular Public Land Survey System (PLSS) data set. The metadata description in the Cadastral Reference System Feature Data Set more fully describes the entire data set. This is a graphic representation of the data stewards for the Public Land Survey System (PLSS). For BLM data sets the the data steward is identifed at the township level or smaller area The Data Steward is agency that will be responsible for updates of the PLSS. In the shared environment of the Natioanl Spatial Data Infrastructure (NSDI) the data steward for an area is the primary coordinator or agency responsible for making updates or causing updates to be made. Any questions about data content should be directed to the data steward.

This feature class is part of the Cadastral National Spatial Data Infrastructure (NSDI) CADNSDI publication data set for rectangular and non-rectangular Public Land Survey System (PLSS) data set. The metadata description in the Cadastral Reference System Feature Data Set more fully describes the entire data set. These are the corners of the PLSS. This feature class contains summary information about the coordinate location and reliability of corner coordinate information. alternate names or aliases for corners are also inlcuded in this feature class.

Analysis of ‘Cadastral PLSS Standardized Data - PLSSSecond Division (Las Cruces) - Version 1.1’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/0c0f9232-419f-4bfd-9fe4-95c6e6f22b45 on 28 January 2022.

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

This feature class is part of the Cadastral National Spatial Data Infrastructure (NSDI) CADNSDI publication data set for rectangular and non-rectangular Public Land Survey System (PLSS) data set. The metadata description in the Cadastral Reference System Feature Data Set more fully describes the entire data set. This feature class is the second division of the PLSS is quarter, quarter-quarter, sixteenth or government lot divisions of the PLSS. The second and third divisions are combined into this feature class as an intentional de-normalization of the PLSS hierarchical data. The polygons in this feature class represent the smallest division to the sixteenth that has been defined for the first division. For example In some cases sections have only been divided to the quarter. Divisions below the sixteenth are in the Special Survey or Parcel Feature Class.

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

This feature class is part of the Cadastral National Spatial Data Infrastructure (NSDI) CADNSDI publication data set for rectangular and non-rectangular Public Land Survey System (PLSS) data set. The metadata description in the Cadastral Reference System Feature Data Set more fully describes the entire data set. This feature class is the second division of the PLSS is quarter, quarter-quarter, sixteenth or government lot divisions of the PLSS. The second and third divisions are combined into this feature class as an intentional de-normalization of the PLSS hierarchical data. The polygons in this feature class represent the smallest division to the sixteenth that has been defined for the first division. For example In some cases sections have only been divided to the quarter. Divisions below the sixteenth are in the Special Survey or Parcel Feature Class.

Analysis of ‘Cadastral PLSS Standardized Data - PLSSSecond Division (Albuquerque) - Version 1.1’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/d83af428-3929-4876-88c0-eb1290266863 on 28 January 2022.

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

This feature class is part of the Cadastral National Spatial Data Infrastructure (NSDI) CADNSDI publication data set for rectangular and non-rectangular Public Land Survey System (PLSS) data set. The metadata description in the Cadastral Reference System Feature Data Set more fully describes the entire data set. This feature class is the second division of the PLSS is quarter, quarter-quarter, sixteenth or government lot divisions of the PLSS. The second and third divisions are combined into this feature class as an intentional de-normalization of the PLSS hierarchical data. The polygons in this feature class represent the smallest division to the sixteenth that has been defined for the first division. For example In some cases sections have only been divided to the quarter. Divisions below the sixteenth are in the Special Survey or Parcel Feature Class.

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

Analysis of ‘Cadastral PLSS Standardized Data - PLSSReferenceGrid, SE - Version 1.1’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/b5976394-fe56-40b1-bfc2-9891d383e514 on 28 January 2022.

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

This feature class is part of the Cadastral National Spatial Data Infrastructure (NSDI) CADNSDI publication data set for rectangular and non-rectangular Public Land Survey System (PLSS) data set. The metadata description in the Cadastral Reference System Feature Data Set more fully describes the entire data set. The PLSS Reference Grid is a generalized data set providing the Township and First Divisions of the PLSS as a separate feature class to support data requests, mapping and indexing. The spatial location and position and attributes of this feature class are the same as those in the primary data sets from which this data is built. These data are often used for map sheet layouts and general location reference

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

This feature class is part of the Cadastral National Spatial Data Infrastructure (NSDI) CADNSDI publication data set for rectangular and non-rectangular Public Land Survey System (PLSS) data set. The metadata description in the Cadastral Reference System Feature Data Set more fully describes the entire data set. This feature class is the second division of the PLSS is quarter, quarter-quarter, sixteenth or government lot divisions of the PLSS. The second and third divisions are combined into this feature class as an intentional de-normalization of the PLSS hierarchical data. The polygons in this feature class represent the smallest division to the sixteenth that has been defined for the first division. For example In some cases sections have only been divided to the quarter. Divisions below the sixteenth are in the Special Survey or Parcel Feature Class.

This feature class is part of the Cadastral National Spatial Data Infrastructure (NSDI) CADNSDI publication data set for rectangular and non-rectangular Public Land Survey System (PLSS) data set. The metadata description in the Cadastral Reference System Feature Data Set more fully describes the entire data set. The fully intersected data is the atomic level of the PLSS that is similar to the Esri coverage or the smallest pieces used to build the PLSS. Polygons may overlap in this feature class. This feature class will also contain retired or replaced areas of the PLSS.

This feature class is part of the Cadastral National Spatial Data Infrastructure (NSDI) CADNSDI publication data set for rectangular and non-rectangular Public Land Survey System (PLSS) data set. The metadata description in the Cadastral Reference System Feature Data Set more fully describes the entire data set. The conflicted areas feature class is a depiction of known overlaps or gaps resulting from two or more different surveys of the same area

This feature class is part of the Cadastral National Spatial Data Infrastructure (NSDI) CADNSDI publication data set for rectangular and non-rectangular Public Land Survey System (PLSS) data set. The metadata description in the Cadastral Reference System Feature Data Set more fully describes the entire data set. These are the corners of the PLSS. This feature class contains summary information about the coordinate location and reliability of corner coordinate information. alternate names or aliases for corners are also inlcuded in this feature class.

This feature class is part of the Cadastral National Spatial Data Infrastructure (NSDI) CADNSDI publication data set for rectangular and non-rectangular Public Land Survey System (PLSS) data set. The metadata description in the Cadastral Reference System Feature Data Set more fully describes the entire data set. The fully intersected data is the atomic level of the PLSS that is similar to the Esri coverage or the smallest pieces used to build the PLSS. Polygons may overlap in this feature class. This feature class will also contain retired or replaced areas of the PLSS.

Misophonia is a condition characterized by negative affect, intolerance, and functional impairment in response to particular repetitive sounds usually made by others (e.g., chewing, sniffing, pen tapping) and associated stimuli. To date, researchers have largely studied misophonia using self-report measures. As the field is quickly expanding, assessment approaches need to advance to include more objective measures capable of differentiating those with and without misophonia. Although several studies have used sounds as experimental stimuli, few have used standardized stimuli sets with demonstrated reliability or validity. To conduct rigorous research to better understand misophonia, it is important to have an easily accessible, standardized set of acoustic stimuli for use across studies. Accordingly, in the present study, the International Affective Digitized Sounds (IADS-2), developed by Bradley and Lang [1], were used to determine whether participants with misophonia responded to cert...

The Standardized Precipitation Index (SPI) was generated for certain Environment Canada long-term climate stations in Ontario.

The SPI quantifies the precipitation deficit and surplus for multiple time scales, including:

one month three months six months nine months 12 months 24 months

You can use the SPI to study the impact of dry and wet weather conditions to create comprehensive water management approaches.

The SPI data package is distributed as a Microsoft Access Geodatabase.

This is a legacy dataset that we no longer maintain or support.

The documents referenced in this record may contain URLs (links) that were valid when published, but now link to sites or pages that no longer exist.

Additional Documentation

Standardized Precipitation Index - User Guide (PDF)

Status Completed: production of the data has been completed

Maintenance and Update Frequency
Not planned: there are no plans to update the data

Contact
Ontario Ministry of Natural Resources - Geospatial Ontario, geospatial@ontario.ca

Refer to the Oregon Address Data Standard v. 1.0 (2025) for a complete description of the Address Data Standard feature class and domains of acceptable values for many fields. This standard is used for addresses within the State of Oregon.https://www.oregon.gov/eis/geo/Documents/Oregon%20Address%20Point%20Standard%20v1.0.pdf

This feature class is part of the Cadastral National Spatial Data Infrastructure (NSDI) CADNSDI publication data set for rectangular and non-rectangular Public Land Survey System (PLSS) data set. The metadata description in the Cadastral Reference System Feature Data Set more fully describes the entire data set. These are the corners of the PLSS. This feature class contains summary information about the coordinate location and reliability of corner coordinate information. alternate names or aliases for corners are also inlcuded in this feature class.

Analysis of ‘Cadastral PLSS Standardized Data - PLSSPoints (Dalhart) - Version 1.1’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/e6cfb0d6-9d0f-4ba0-b383-bd2f30a2a018 on 28 January 2022.

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

This feature class is part of the Cadastral National Spatial Data Infrastructure (NSDI) CADNSDI publication data set for rectangular and non-rectangular Public Land Survey System (PLSS) data set. The metadata description in the Cadastral Reference System Feature Data Set more fully describes the entire data set. These are the corners of the PLSS. This feature class contains summary information about the coordinate location and reliability of corner coordinate information. alternate names or aliases for corners are also inlcuded in this feature class.

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

About this dataset

Context

The dataset tabulates the Standard population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Standard. The dataset can be utilized to understand the population distribution of Standard by age. For example, using this dataset, we can identify the largest age group in Standard.

Key observations

The largest age group in Standard, IL was for the group of age 85+ years with a population of 27 (9.68%), according to the 2021 American Community Survey. At the same time, the smallest age group in Standard, IL was the 70-74 years with a population of 1 (0.36%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Standard is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Standard total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Standard Population by Age. You can refer the same here

Analysis of ‘Cadastral PLSS Standardized Data - PLSSIntersected (Raton) - Version 1.1’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/7a9533cc-72d7-4189-86a1-a16cc9bd02aa on 28 January 2022.

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

This feature class is part of the Cadastral National Spatial Data Infrastructure (NSDI) CADNSDI publication data set for rectangular and non-rectangular Public Land Survey System (PLSS) data set. The metadata description in the Cadastral Reference System Feature Data Set more fully describes the entire data set. The fully intersected data is the atomic level of the PLSS that is similar to the Esri coverage or the smallest pieces used to build the PLSS. Polygons may overlap in this feature class. This feature class will also contain retired or replaced areas of the PLSS.

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

Analysis of ‘Cadastral PLSS Standardized Data - PLSSSecond Division (Tularosa) - Version 1.1’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/ae31ab43-0de7-4f17-916d-acb31ca4cac5 on 28 January 2022.

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

This feature class is part of the Cadastral National Spatial Data Infrastructure (NSDI) CADNSDI publication data set for rectangular and non-rectangular Public Land Survey System (PLSS) data set. The metadata description in the Cadastral Reference System Feature Data Set more fully describes the entire data set. This feature class is the second division of the PLSS is quarter, quarter-quarter, sixteenth or government lot divisions of the PLSS. The second and third divisions are combined into this feature class as an intentional de-normalization of the PLSS hierarchical data. The polygons in this feature class represent the smallest division to the sixteenth that has been defined for the first division. For example In some cases sections have only been divided to the quarter. Divisions below the sixteenth are in the Special Survey or Parcel Feature Class.

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

Analysis of ‘Cadastral PLSS Standardized Data - PLSSIntersected (St Johns) - Version 1.1’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/af3e4fc4-75f4-429d-81fb-a90d2576379f on 28 January 2022.

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

This feature class is part of the Cadastral National Spatial Data Infrastructure (NSDI) CADNSDI publication data set for rectangular and non-rectangular Public Land Survey System (PLSS) data set. The metadata description in the Cadastral Reference System Feature Data Set more fully describes the entire data set. The fully intersected data is the atomic level of the PLSS that is similar to the Esri coverage or the smallest pieces used to build the PLSS. Polygons may overlap in this feature class. This feature class will also contain retired or replaced areas of the PLSS.

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