This asset includes environmental justice-related analyses of population located within a mile of Superfund and RCRA Corrective Action sites. It characterizes demographics and socio-economic characteristics of near-site communities as compared to the average U.S. population. It also examined children of up to 17 years of age living within 1 mile of SF and RCRA CA sites where human health protective measures may not have been in place. It compared data on the health status of these children to the status of all children in the U.S. Information from this study contributed to the America's Children and the Environment (ACE) report for 2013.

Analysis of ‘Popular Website Traffic Over Time ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/popular-website-traffice on 13 February 2022.

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

About this dataset

Background

Have you every been in a conversation and the question comes up, who uses Bing? This question comes up occasionally because people wonder if these sites have any views. For this research study, we are going to be exploring popular website traffic for many popular websites.

Methodology

The data collected originates from SimilarWeb.com.

Source

For the analysis and study, go to The Concept Center

This dataset was created by Chase Willden and contains around 0 samples along with 1/1/2017, Social Media, technical information and other features such as: - 12/1/2016 - 3/1/2017 - and more.

How to use this dataset

• Analyze 11/1/2016 in relation to 2/1/2017
• Study the influence of 4/1/2017 on 1/1/2017
• More datasets

Acknowledgements

If you use this dataset in your research, please credit Chase Willden

Start A New Notebook!

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

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Analysis of ‘PreK Vendors by Transportation Site’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/e742bbda-b584-498c-bc66-460ab01d690c on 27 January 2022.

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

Summary of documented students by school/site

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

Analysis of ‘Pre-K Project Site Location’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/0390e1d2-4aa8-43e5-846f-fbb890420097 on 27 January 2022.

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

Pre-K Project Site Location details.

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

DISCOVERAQ_California_Ground_Analysis_Ancillary_Data contains data collected at ancillary ground sites during the California (San Joaquin Valley) deployment of NASA's DISCOVER-AQ field study. This data product contains data for only the California deployment and data collection is complete.Understanding the factors that contribute to near surface pollution is difficult using only satellite-based observations. The incorporation of surface-level measurements from aircraft and ground-based platforms provides the crucial information necessary to validate and expand upon the use of satellites in understanding near surface pollution. Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) was a four-year campaign conducted in collaboration between NASA Langley Research Center, NASA Goddard Space Flight Center, NASA Ames Research Center, and multiple universities to improve the use of satellites to monitor air quality for public health and environmental benefit. Through targeted airborne and ground-based observations, DISCOVER-AQ enabled more effective use of current and future satellites to diagnose ground level conditions influencing air quality.DISCOVER-AQ employed two NASA aircraft, the P3-B and King Air, with the P-3B completing in-situ spiral profiling of the atmosphere (aerosol properties, meteorological variables, and trace gas species). The King Air conducted both passive and active remote sensing of the atmospheric column extending below the aircraft to the surface. Data from an existing network of surface air quality monitors, AERONET sun photometers, Pandora UV/vis spectrometers and model simulations were also collected. Further, DISCOVER-AQ employed many surface monitoring sites, with measurements being made on the ground, in conjunction with the aircraft. The B200 and P-3B conducted flights in Baltimore-Washington, D.C. in 2011, Houston, TX in 2013, San Joaquin Valley, CA in 2013, and Denver, CO in 2014. These regions were targeted due to being in violation of the National Ambient Air Quality Standards (NAAQS).The first objective of DISCOVER-AQ was to determine and investigate correlations between surface measurements and satellite column observations for the trace gases ozone (O3), nitrogen dioxide (NO2), and formaldehyde (CH2O) to understand how satellite column observations can diagnose surface conditions. DISCOVER-AQ also had the objective of using surface-level measurements to understand how satellites measure diurnal variability and to understand what factors control diurnal variability. Lastly, DISCOVER-AQ aimed to explore horizontal scales of variability, such as regions with steep gradients and urban plumes.

Raster data providing site suitability results for the production of castor throughout Brazil. The pixel value range from 1 (currently not suitable) to 10 (highly suitable) for a suitability ranking in the given pixel location. The site suitability for castor was conducted using data associated with agronomic and disease characteristics. The various characteristics were subject to a weighted overlay analysis in conjunction with an analytical hierarchy process. The raster was the result of these analytics.

Analysis of ‘DSNY Special Waste Drop-off Sites’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/af62bed3-8dd1-4dc4-a320-060b6c7e2cf2 on 27 January 2022.

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

Location of DSNY Special Waste Drop-Off Sites. For hours of operation, what to bring, and rules and procedures, please see: http://www1.nyc.gov/assets/dsny/site/services/harmful-products/special-waste-drop-offs.

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

This Excel Spreadsheet holds the rankings and final scores of the theatres after completing the suitability analysis. Within the spreadsheet you will find pages to show the rankings and final scores of the theatres for all the walking distances (5,10,15 minutes) to make it easier to complete your analysis. There are also pages to show the ranking and score of the theatres after adjusting the criteria. Use of this spreadsheet is optional and just gives another option to present the data in a form that may be easier for you to analyse.

Daily streamflow discharge data from 139 streamgages located on tributaries and streams flowing to the Gulf of Mexico were used to calculate mean monthly, mean seasonal, and decile values. Streamgages used to calculate trends required a minimum of 65 years of continuous daily streamflow data. These values were used to analyze trends in streamflow using the Mann-Kendall trend test in the R package entitled “Trends” and a new methodology created by Robert M. Hirsch known as a “Quantile-Kendall” plot. Data were analyzed based on water year using the Mann-Kendall trend test and by climate year using the Quantile-Kendall methodology to: (1) identify regions which are statistically similar for estimating streamflow characteristics; (2) identify trends related to changing streamflow and streamflow alteration over time; and (3) to identify possible correlations with estuary health in the Gulf of Mexico.

The navigation site market is a rapidly growing industry, with a market size of XXX million in 2025 and a projected CAGR of XX% from 2025 to 2033. The growth of the navigation site market is being driven by the increasing number of internet users, the rising popularity of mobile devices, and the growing demand for location-based services. The market is expected to be further driven by the increasing adoption of artificial intelligence (AI) and machine learning (ML) technologies in navigation sites. The navigation site market is segmented by application, type, and region. By application, the market is divided into automotive, pedestrian, and public transportation. By type, the market is divided into web-based navigation sites and mobile-based navigation apps. By region, the market is divided into North America, South America, Europe, Middle East & Africa, and Asia Pacific. The North American region is expected to dominate the navigation site market throughout the forecast period, followed by the Asia Pacific region.

Market Size and Growth: The website visitor tracking software market is projected to reach USD XX million by 2033, expanding at a CAGR of XX% from 2025 to 2033. The market is driven by the increasing adoption of digital marketing and analytics, as businesses seek to understand their website visitors' behavior and optimize their marketing campaigns. The growing demand for data privacy and compliance regulations is also fueling market growth. Industry Trends and Dynamics: The website visitor tracking software market is experiencing several trends, including the rise of cloud-based solutions, the integration of artificial intelligence (AI) and machine learning (ML) for enhanced data analysis, and the increased focus on personalization and customer segmentation. Key players in the market include Visitor Queue, Crazy Egg, VWO Insights, Leadfeeder, and Google Analytics, among others. The competitive landscape is characterized by strategic partnerships, acquisitions, and product innovations. Regional markets are also witnessing significant growth, particularly in North America, Europe, and Asia Pacific, as businesses across these regions embrace digital transformation and customer-centric strategies.

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Comprehensive comparison of Artificial Analysis Intelligence Index vs. Output Speed (Output Tokens per Second) by Model

About this dataset

Context

The dataset tabulates the population of New Site by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for New Site. The dataset can be utilized to understand the population distribution of New Site by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in New Site. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for New Site.

Key observations

Largest age group (population): Male # 75-79 years (64) | Female # 30-34 years (35). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the New Site population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the New Site is shown in the following column.
• Population (Female): The female population in the New Site is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in New Site for each age group.

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 New Site Population by Gender. You can refer the same here

The global market for Marketing Data Analysis Software is experiencing robust growth, driven by the increasing need for data-driven decision-making among businesses across diverse sectors. The market's expansion is fueled by several key factors, including the rising adoption of digital marketing strategies, the proliferation of marketing data from various sources (website analytics, social media, CRM systems, etc.), and the growing demand for improved marketing ROI. Businesses are increasingly leveraging these software solutions to gain deeper insights into customer behavior, campaign performance, and market trends, enabling them to optimize their marketing efforts and achieve better results. The retail and eCommerce sectors are currently leading the adoption, followed closely by banking and insurance, and media & entertainment. However, growth is expected across all segments as businesses recognize the value of sophisticated data analysis for competitive advantage. The market is segmented by software type, with website analysis software holding a significant share, but customer service and data analysis software are experiencing rapid growth due to the increasing focus on personalized customer experiences and advanced analytics capabilities. The competitive landscape is dynamic, with established players like HubSpot and Semrush alongside innovative startups. The market's maturity varies across regions; North America currently holds a significant market share due to early adoption and technological advancements, but Asia Pacific is expected to witness substantial growth in the coming years, driven by rapid digitalization and increasing internet penetration. This growth trajectory points toward a substantial increase in market value over the next decade, as more companies integrate data-driven strategies into their core business operations. The forecast period of 2025-2033 presents significant opportunities for market expansion. While North America and Europe maintain strong positions, the Asia-Pacific region is poised for rapid growth, fueled by increasing digital adoption and a burgeoning middle class. However, challenges remain, including the complexity of data integration from diverse sources, the need for skilled data analysts to interpret results effectively, and the rising concerns regarding data privacy and security. Furthermore, the cost of implementing and maintaining these software solutions can be a barrier to entry for smaller businesses. Nevertheless, the overall market outlook remains positive, with consistent growth projected through 2033. The continued innovation in areas like artificial intelligence (AI) and machine learning (ML) will further enhance the capabilities of marketing data analysis software, driving increased adoption and market value.

Analysis of ‘Individual Landmark Sites’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/21ceab5f-d0af-410a-a093-cdca7bf13336 on 13 February 2022.

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

This dataset contains site boundaries for all designated individual landmarks as well as administrative information such as site boundary description and designation date.

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

This package contains data regarding on-site continuous mass spectrometric analysis of sewer gasses. A portable mass spectrometer, miniRUEDI (Brennwald et al., 2016) was used for the analysis of noble gasses and CO2, CH4, O2, N2 in the sewer headspace. The monitoring points include a trunck sewer and a sump pump tank next to the experimental hall of Eawag.

To validate our findings from aBSREL and MEME using a different method, we applied Phylogenetic Analysis by Maximum Likelihood (PAML) branch by site analysis to the luciferase sequences. We tested the alternative hypothesis, that there is a class of sites under selection (ω > 1) on the EAncLuc ancestral branch identified as under selection in the aBSREL analysis, against the null hypotheses, that all classes of sites on all branches are evolving either under constraint (ω < 1) or neutrality (ω = 1). A likelihood ratio test supported the alternative hypothesis, that 13% of sites in luciferase were in a positively selected class (ω = 3.25). Subsequent Bayes Empirical Bayes (BEB) estimation identified 31 sites with evidence of selection on these branches, 5 of which were significant.

Comparison of Seconds to Output 500 Tokens, including reasoning model 'thinking' time; Lower is better by Model