Multi-Ethnic Study of Atherosclerosis (MESA), is an NHLBI-sponsored 6-center collaborative longitudinal investigation of factors associated with the development of subclinical cardiovascular disease and the progression of subclinical to clinical cardiovascular disease in 6,814 black, white, Hispanic, and Chinese-American men and women initially ages 45-84 at baseline in 2000-2002. There have been four follow-up exams to date, in the years 2003-2004, 2004-2005, 2005-2007, and 2010-2011. Between 2010-2012, 2,237 participants also were enrolled in a Sleep Exam (MESA Sleep) which included full overnight unattended polysomnography, 7-day wrist-worn actigraphy, and a sleep questionnaire. The objectives of the sleep study are to understand how variations in sleep and sleep disorders vary across gender and ethnic groups and relate to measures of subclinical atherosclerosis.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Mesa is a dataset for object detection tasks - it contains Mesa annotations for 5,000 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Mesa population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Mesa across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.
Key observations
In 2023, the population of Mesa was 511,648, a 0.12% decrease year-by-year from 2022. Previously, in 2022, Mesa population was 512,264, an increase of 0.58% compared to a population of 509,287 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Mesa increased by 109,303. In this period, the peak population was 518,497 in the year 2019. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Mesa Population by Year. You can refer the same here
These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways.
Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically
MESA2025/mesa dataset hosted on Hugging Face and contributed by the HF Datasets community
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual total students amount from 2014 to 2023 for Basis Mesa
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual total students amount from 1987 to 2023 for Mesa High School
This data set contains geolocation information of the infrastructure locations for the SnowEx20 Intensive Observation Period (IOP) and Time Series (TS) campaigns. Available scientific infrastructure locations in this data set are tower and sensor locations, aircraft flight lines, planned and actual snow pit locations, and time-lapse camera locations. Additionally, this data set contains areal snow depth and tree density classification matrix over the Grand Mesa, CO study area.
This dataset provides information about the number of properties, residents, and average property values for Mesa Road cross streets in Mesa, ID.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
MESA model files and plotting scripts for plots seen in 'An Expanded Set of Los Alamos OPLIB Tables in MESA: Type-1 Rosseland-mean Opacities and Solar Models'.
https://iopscience.iop.org/article/10.3847/1538-4357/ad4355
Models were run using MESA version r22.11.1, with fixes to the bugs documented at https://docs.mesastar.org/en/release-r24.03.1/known_bugs.html#r22-11-1.
We use mesasdk-x86_64-linux-22.6.1.tar.gz sdk available at http://user.astro.wisc.edu/~townsend/resource/download/mesasdk
We do not include the opacity tables here but they will be available in the next MESA release version and at http://aphysics2.lanl.gov/opacity/lanl.
*(In future solar modeling work, we recommend users use 'rmid' (cell centered radius in Rsun) instead of 'radius' (cell edge/face radius in Rsun) as all structural variables are typically defined at the cell center. Look into $MESA_DIR/star/defaults/profile_columns.list and ensure you are always consistently using cell centered or cell-faced variables with each other.)*
This report presents combined 2005 to 2010 National Survey on Drug Use and Health (NSDUH) results for those aged 12 or older in the Phoenix-Mesa-Glendale, AZ metro area. The report includes estimates of substance use disorder, major depressive episode, illicit drug use, marijuana use, cigarette use, binge alcohol use, and the nonmedical use of prescription-type pain relievers. Results are provided for the Phoenix-Mesa-Glendale metro area, Arizona, and the U.S. overall.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Mesa population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Mesa.
The dataset will have the following datasets when applicable
Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)
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.
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/.
This data set contains snow water equivalent (SWE) and snow depth estimates derived from Ground Penetrating Radar (GPR) measurements. GPR measurements were collected during the SnowEx 2020 Grand Mesa Intensive Observation Period (IOP) between 28 January and 04 February 2020. Snow depth was estimated from GPR two-way travel times and average radar velocity; SWE was estimated from snow depth and snow density. These data are derived from the SnowEx20 Grand Mesa IOP BSU 1 GHz Multi-polarization GPR Raw, Version 1 data set (DOI: 10.5067/CJNEM8UDNXKA)
This data set contains the geolocated, unprocessed results of a ground penetrating radar survey conducted as part of the 2020 SnowEx campaign. Data were collected at Grand Mesa, Colorado (a snow-covered, forested study site) between 28 January 2020 and 04 February 2020.
NCALM Seed. PI: Melissa Kruse, Arizona State University. The survey area is a rectangular polygon on Perry Mesa 60 kilometers north of Deer Valley, AZ lying east of Interstate Highway 17 at exit 256. The survey area encloses 61 square kilometers. Data were collected February 5, 2008.
This dataset provides information about the number of properties, residents, and average property values for 24th Street cross streets in Mesa, AZ.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Single-Parent Households with Children as a Percentage of Households with Children (5-year estimate) in Mesa County, CO (S1101SPHOUSE008077) from 2009 to 2023 about Mesa County, CO; Grand Junction; single-parent; CO; 5-year; households; and USA.
This dataset provides information about the number of properties, residents, and average property values for 103rd Street cross streets in Mesa, AZ.
This data set was collected during the SnowEx 2020 Intensive Observation Period (IOP) in Grand Mesa, Colorado. These data contain the geolocated, unprocessed, common midpoint (CMP) gathers from a Sensors & Software pulseEKKO PRO 1 GHz multi-polarization ground penetrating radar (GPR). Multi-offset gathers were collected by placing antennas on the snow surface and expanding the antenna separation about a fixed midpoint out to a 2 m offset. CMP gathers were collected in HH and HV polarizations. Data were collected at three locations around Grand Mesa IOP snow pits 2N12 and 1S8 (see DOI: 10.5067/DUD2VZEVBJ7S for more details on Grand Mesa IOP snow pits). Data at snow pit 2N12 were acquired on the groomed snowmobile road (CMP1), in the fresh snow behind the snow pit wall (CMP2), and in the right rut of the SUSV track (CMP3). Data at snow pit 1S8 were acquired in the right rut of the SUSV track (CMP1), in the left rut of the SUSV track (CMP2), and in the fresh snow behind the snow pit wall (CMP3). These data can be used to estimate snow depth, snow density, and snow water equivalent (SWE).
Multi-Ethnic Study of Atherosclerosis (MESA), is an NHLBI-sponsored 6-center collaborative longitudinal investigation of factors associated with the development of subclinical cardiovascular disease and the progression of subclinical to clinical cardiovascular disease in 6,814 black, white, Hispanic, and Chinese-American men and women initially ages 45-84 at baseline in 2000-2002. There have been four follow-up exams to date, in the years 2003-2004, 2004-2005, 2005-2007, and 2010-2011. Between 2010-2012, 2,237 participants also were enrolled in a Sleep Exam (MESA Sleep) which included full overnight unattended polysomnography, 7-day wrist-worn actigraphy, and a sleep questionnaire. The objectives of the sleep study are to understand how variations in sleep and sleep disorders vary across gender and ethnic groups and relate to measures of subclinical atherosclerosis.