In 1968, the Missouri Geological Survey (MGS) established the Operation Basement program to address three objectives: a) to obtain drill hole and underground mining data relative to the structure and composition of the buried Precambrian basement; b) to expand mapping in the Precambrian outcrop area and conduct research related to Precambrian geology and mineral resources; and c) to eventually publish the results of the first two objectives in the Contribution to Precambrian Geology series (Kisvarsanyi, 1976). The database presented here represents the first of those objectives, and it includes more data that was gathered after the third objective was accomplished. It was originally compiled in close cooperation with exploration and mining companies operating in Missouri, who provided drillhole data, core and rock samples to MGS. These data enabled geologists to study otherwise unexposed basement rocks from a large area of the state for the first time, allowing better classification and understanding of the Precambrian basement across the state. MGS is continuing data collection and database compilation today as information becomes available, furthering our knowledge of the Missouri Precambrian basement. This effort was supported through a cooperative agreement with the Mineral Resource Program of the U.S. Geological Survey. There is no plan to update this Data Release product.

The Geochemical Database for Iron Oxide-Copper-Cobalt-Gold-Rare Earth Element Deposits of Southeast Missouri (IOCG-REE_GX) contains new geochemical data compilations for samples from IOCG-REE type deposits in which each rock sample has one "best value" determination for each analyzed species, greatly improving speed and efficiency of use. IOCG-REE_GX was created and designed to compile whole-rock and trace element data from southeast Missouri in order to facilitate petrologic studies, mineral resource assessments, and the definition and statistics of geochemical baseline values. This relational database serves as a data archive in support of present and future geologic and geochemical studies of IOCG-REE type deposits, and contains data tables in two different formats describing historical and new quantitative and qualitative geochemical analyses. The analytical results were determined by 24 laboratory analytical methods on 457 rock samples collected during two phases from outcrop and drill core sites from throughout the entire St. Francois Mountains terrane made by the U.S. Geological Survey (USGS). In the first phase, the USGS collected and analyzed 315 samples from 1989 to 1995. During the second phase from 2013-2015, 119 samples were collected and analyzed, and 23 samples from the first phase were reanalyzed using analytical methods of higher precision. The data presents the most precise analytical approach to report the best value for each element. In order to facilitate examination of the geochemistry of the broad range of samples reported (i.e., regional samples, ore zone, or ore deposit alteration-related), a short sample description is given and each sample is coded (Jcode) according to the type of rock suites defined by Kisvarsanyi (1981), whether the sample was collected as a non-ore deposit-related representative of a given rock suite or as a deposit-related sample (Kcode, and; if the sample was related to a specific ore deposit the zone within the given deposit was included (Lcode. These coded data provide a robust tool for evaluating the regional geologic setting of the host terrane as well as assessing the character of hydrothermal alteration related to many of the contained mineral deposits. Data from the first phase are currently maintained in the USGS National Geochemical Database (NGDB), and data from the second phase will soon be added. The data of the IOCG-REE_GX were checked for accuracy regarding sample location, sample media type, and analytical methods used. Reference: >Kisvarsanyi, E.B., 1981, Geology of the Precambrian St. Francois terrane, southeastern Missouri: Missouri Department of Natural Resources Report of Investigations 64, 58 p.

.EDU.MO Whois Database, discover comprehensive ownership details, registration dates, and more for .EDU.MO TLD with Whois Data Center.

United States Months of Supply: Single Family: Kansas City, MO data was reported at 0.900 Month in Jul 2020. This stayed constant from the previous number of 0.900 Month for Jun 2020. United States Months of Supply: Single Family: Kansas City, MO data is updated monthly, averaging 3.600 Month from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 8.100 Month in Jan 2014 and a record low of 0.900 Month in Jul 2020. United States Months of Supply: Single Family: Kansas City, MO data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB029: Months of Supply: by Metropolitan Areas.

Top career graded jobs from 2018-2028 occupational projections for Missouri and ten workforce regions.

United States Months of Supply: Single Family: Rolla, MO data was reported at 2.300 Month in Jul 2020. This records an increase from the previous number of 2.200 Month for Jun 2020. United States Months of Supply: Single Family: Rolla, MO data is updated monthly, averaging 5.400 Month from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 12.600 Month in Sep 2018 and a record low of 2.200 Month in Jun 2020. United States Months of Supply: Single Family: Rolla, MO data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB029: Months of Supply: by Metropolitan Areas.

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). In addition to the preceding, required text, the Abstract should also describe the projection and coordinate system as well as a general statement about horizontal accuracy.

This is the original dataset for ID 4 Mo in Thermophysical Property Database (https://thermophys.nims.go.jp/thermophysicalproperty/experiments/4). The dataset was obtained at Japan Aerospace Exploration Agency (JAXA), and is a part of Thermophysical Property Original Datasets (https://doi.org/10.48505/nims.3877) as a collection of MDR.

This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads shapefile includes all features within the MTS Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in the MTS that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

The data set consists of several CD-WO volumes which contain radiometric and open loop data acquired from the Mars Observer spacecraft during its Cruise between Earth and Mars. The basic data are supplemented by ancillary data including DSN weather files and media calibrations, spacecraft maneuver information, and operations schedules. There are fourteen data types.

This report presents Missouri\'s estimates for 25 measures of substance use and mental health based on the combined 2009 and 2010 National Surveys on Drug Use and Health (NSDUHs). Topics covered include past month substance use (e.g., illicit drugs, marijuana, cocaine, pain relievers, alcohol, tobacco), substance dependence, abuse, and treatment need, past year serious mental illness (SMI), any mental illness (AMI), suicidal thoughts, and major depressive episode (MDE). Resuts are provided for Missouri for five age groups: 12 to 17, 18 to 25, 26 or older, 18 or older and all persons 12 or older.

This is the original dataset for ID 8 Mo in Thermophysical Property Database (https://thermophys.nims.go.jp/thermophysicalproperty/experiments/8). The dataset was obtained at Japan Aerospace Exploration Agency (JAXA), and is a part of Thermophysical Property Original Datasets (https://doi.org/10.48505/nims.3877) as a collection of MDR.

This is the original dataset for ID 49 Mo in Thermophysical Property Database (https://thermophys.nims.go.jp/thermophysicalproperty/experiments/49). The dataset was obtained at Japan Aerospace Exploration Agency (JAXA), and is a part of Thermophysical Property Original Datasets (https://doi.org/10.48505/nims.3877) as a collection of MDR.

.MO.US Whois Database, discover comprehensive ownership details, registration dates, and more for .MO.US TLD with Whois Data Center.

About this dataset

Context

The dataset tabulates the Advance population by age. The dataset can be utilized to understand the age distribution and demographics of Advance.

Content

The dataset constitues the following three datasets

• Advance, MO Age Group Population Dataset: A complete breakdown of Advance age demographics from 0 to 85 years, distributed across 18 age groups
• Advance, MO Age Cohorts Dataset: Children, Working Adults, and Seniors in Advance - Population and Percentage Analysis
• Advance, MO Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

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/.

About this dataset

Context

The dataset tabulates the Commerce population by age. The dataset can be utilized to understand the age distribution and demographics of Commerce.

Content

The dataset constitues the following three datasets

• Commerce, MO Age Group Population Dataset: A complete breakdown of Commerce age demographics from 0 to 85 years, distributed across 18 age groups
• Commerce, MO Age Cohorts Dataset: Children, Working Adults, and Seniors in Commerce - Population and Percentage Analysis
• Commerce, MO Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

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/.

Current license information of businesses involved in the manufacture, shipping, and/or sale of alcohol in the State of Missouri

The Forager.ai Global Install Base Data set is a leading source of firmographic data, backed by advanced AI and offering the highest refresh rate in the industry.

| Volume and Stats |

• Over 22M total records, the highest volume in the industry today.
• Every company record refreshed twice a month, offering an unparalleled update frequency.
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| Use Cases |

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3. Study a company's tech stacks to understand the technical capability and skills available within that company.

B2B Tech Companies:

• Enrich leads that sign-up through the Company Search API (available separately).
• Identify and map every company that fits your core personas and ICP.
• Build audiences to target, using key fields like location, company size, industry, and description.

Venture Capital and Private Equity:

• Discover new investment opportunities using company descriptions and industry-level data.
• Review the growth of private companies and benchmark their strength against competitors.
• Create high-level views of companies competing in popular verticals for investment.

| Delivery Options |

• Flat files via S3 or GCP
• PostgreSQL Shared Database
• PostgreSQL Managed Database
• API
• Other options available upon request, depending on the scale required

Our dataset provides a unique blend of volume, freshness, and detail that is perfect for Sales Platforms, B2B Tech, VCs & PE firms, Marketing Automation, ABM & Intent. It stands as a cornerstone in our broader data offering, ensuring you have the information you need to drive decision-making and growth.

Tags: Company Data, Company Profiles, Employee Data, Firmographic Data, AI-Driven Data, High Refresh Rate, Company Classification, Private Market Intelligence, Workforce Intelligence, Public Companies.

About this dataset

Context

The dataset tabulates the Pilot Knob population by age. The dataset can be utilized to understand the age distribution and demographics of Pilot Knob.

Content

The dataset constitues the following three datasets

• Pilot Knob, MO Age Group Population Dataset: A complete breakdown of Pilot Knob age demographics from 0 to 85 years, distributed across 18 age groups
• Pilot Knob, MO Age Cohorts Dataset: Children, Working Adults, and Seniors in Pilot Knob - Population and Percentage Analysis
• Pilot Knob, MO Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

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/.