Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Terra Alta by race. It includes the population of Terra Alta across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Terra Alta across relevant racial categories.
Key observations
The percent distribution of Terra Alta population by race (across all racial categories recognized by the U.S. Census Bureau): 86.30% are white, 0.90% are Black or African American and 12.80% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
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 Terra Alta Population by Race & Ethnicity. You can refer the same here
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth Summited NIPS 2024
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Comprehensive dataset containing 8 verified Terra Nova locations in United States with complete contact information, ratings, reviews, and location data.
NOAA CoastWatch distributes chlorophyll-a concentration data from NASA's Terra satellite. Measurements are gathered by the Moderate Resolution Imaging Spectroradiometer (MODIS) carried aboard the spacecraft. Data is received from the satellite and processed to level 2 by the Oregon State University (OSU) College of Oceanic and Atmospheric Sciences (COAS). THIS IS AN EXPERIMENTAL PRODUCT: intended strictly for scientific evaluation by professional marine scientists.
Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Terra Alta 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 Terra Alta. The dataset can be utilized to understand the population distribution of Terra Alta by age. For example, using this dataset, we can identify the largest age group in Terra Alta.
Key observations
The largest age group in Terra Alta, WV was for the group of age 25 to 29 years years with a population of 250 (12.55%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Terra Alta, WV was the 85 years and over years with a population of 20 (1%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
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 Terra Alta Population by Age. You can refer the same here
Terra-i is a near real-time monitoring system developed by that detects land cover changes in the tropics. It uses satellite data from MODIS vegetation indices (MOD13Q1 and NDVI) and products related to presence of water bodies (MOD35) as well as Tropical Rainfall Measuring Mission (TRMM) precipitation data to detect anthropogenic changes in vegetation cover every 16 days. Terra-i is a collaboration between the International Center for Tropical Agriculture (CIAT - DAPA), CGIAR’s Research Program on Forestry, Trees and Agroforestry (FTA), The Nature Conservancy (TNC), the University of Applied Sciences Western Switzerland (HEIG-VD), and King’s College London (KCL).The system is based on the premise that natural vegetation follows a predictable pattern of change in greenness from one date to the next, brought about by site-specific land and climatic conditions over the same period. The model is trained to understand the normal pattern of changes in vegetation greenness in relation to terrain and rainfall for a site, which allows for prediction of what the next vegetation response should be based on the historical data. If the prediction is significantly different from the historical responses in relation to pattern of rainfall and lasts for two 16-day periods in a row, the pixel is marked as potentially having changed by anthropogenic means.
Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.
The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) is an advanced multispectral imager that was launched on board NASA's Terra spacecraft in December, 1999. The ASTER Level-1T (L1T) data incorporate radiometric and geometric corrections while employing ASTER 30-meter Global Digital Elevation Model (DEM) for topographic accuracy. All of these data are stored together with metadata in one HDF file. The L1T image is projected onto a rotated map (rotated to path oriented coordinate) at full instrument resolutions. The Level-1T data generation also includes registration of the SWIR and TIR data to the VNIR data. And in addition, for SWIR in particular, the parallax errors due to the spatial locations of all of its bands are corrected. The Level-1T data set provide scaled or calibrated radiance values. Scenes with sufficient elevation and ground control data for terrain correction are processed to Level 1T.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual american indian student percentage from 2019 to 2023 for Terra Academy vs. Utah and Terra Academy School District
Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Prices for USDLUN US Dollar Terra including live quotes, historical charts and news. USDLUN US Dollar Terra was last updated by Trading Economics this September 9 of 2025.
Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.
This dataset contains imagery for the Lincoln National Forest. The imagery was flown to provide coverage after the 2011 Mayhill Fire.
This dataset contains imagery for the Lincoln National Forest. The imagery was flown to provide coverage after the 2011 Mayhill Fire.
This dataset contains imagery for the Carson National Forest. The imagery was flown to provide coverage after the 2011 Pacheco Fire.
This dataset contains imagery for the Carson National Forest. The imagery was flown to provide coverage after the 2011 Osha Fire.
Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Find out details of Oeno Terra Sarl exporting to United States.Shipments data from Global bill of Lading.
Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Terra Alta by race. It includes the population of Terra Alta across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Terra Alta across relevant racial categories.
Key observations
The percent distribution of Terra Alta population by race (across all racial categories recognized by the U.S. Census Bureau): 86.30% are white, 0.90% are Black or African American and 12.80% are multiracial.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
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 Terra Alta Population by Race & Ethnicity. You can refer the same here