Context

In demographics, the world population is the total number of humans currently living, and was estimated to have reached 7,800,000,000 people as of March 2020. It took over 2 million years of human history for the world's population to reach 1 billion, and only 200 years more to reach 7 billion. The world population has experienced continuous growth following the Great Famine of 1315–1317 and the end of the Black Death in 1350, when it was near 370 million. The highest global population growth rates, with increases of over 1.8% per year, occurred between 1955 and 1975 – peaking to 2.1% between 1965 and 1970.[7] The growth rate declined to 1.2% between 2010 and 2015 and is projected to decline further in the course of the 21st century. However, the global population is still increasing[8] and is projected to reach about 10 billion in 2050 and more than 11 billion in 2100.

Content

Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. Annual population growth rate. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.

Statistical Concept and Methodology

Total population growth rates are calculated on the assumption that rate of growth is constant between two points in time. The growth rate is computed using the exponential growth formula: r = ln(pn/p0)/n, where r is the exponential rate of growth, ln() is the natural logarithm, pn is the end period population, p0 is the beginning period population, and n is the number of years in between. Note that this is not the geometric growth rate used to compute compound growth over discrete periods. For information on total population from which the growth rates are calculated, see total population (SP.POP.TOTL).

Acknowledgements

Derived from total population. Population source: ( 1 ) United Nations Population Division. World Population Prospects: 2019 Revision, ( 2 ) Census reports and other statistical publications from national statistical offices, ( 3 ) Eurostat: Demographic Statistics, ( 4 ) United Nations Statistical Division. Population and Vital Statistics Reprot ( various years ), ( 5 ) U.S. Census Bureau: International Database, and ( 6 ) Secretariat of the Pacific Community: Statistics and Demography Programme.

Discover Our Extensive Dataset: Thoracic CT Scans – Comprehensive Lung Analysis

We are thrilled to introduce our expansive dataset, featuring over 1 million high-quality DICOM files from thoracic CT scans. This dataset is meticulously designed to support researchers and developers in advancing the understanding of lung diseases and enhancing diagnostic accuracy using AI and ML technologies.

Access the Dataset

This is a limited preview of our thoracic CT scan dataset. For full access to our comprehensive collection, please visit HumanAIzeDATA to discuss your specific needs and pricing options. Feel free to reach out directly at ✉ contact@human-ai-ze.com.

Dataset Content

• Over 1 million high-quality DICOM files, providing a detailed look at various thoracic conditions and pathologies.

Technical Specifications

• Details about the CT equipment used, including scanner models, settings, and configurations, ensuring high standards of image clarity and detail.

About HumanAIzeDATA

At HumanAIzeDATA, we specialize in high-quality datasets for AI/ML projects in the medical field. Our datasets are designed to meet the exacting standards of clinical research and application development.

Why This Dataset?

• Focused on Thoracic Health: Tailored for projects targeting pulmonary diseases and chest-related medical studies.
• Ready for AI: Ideal for developing algorithms for automated diagnosis, segmentation, and monitoring of thoracic diseases.
• Supported by Experts: Curated with the input from medical professionals to ensure clinical relevance and accuracy.

How You Can Use This Dataset

• Developing predictive models for early detection of lung conditions.
• Enhancing existing medical imaging software with robust features for detailed thoracic analysis.
• Academic research in pulmonary medicine, radiology, and machine learning applications in healthcare.

Remember, accessing our datasets involves agreeing to our terms of use, ensuring that the data is used ethically and responsibly.

We are excited to see how our thoracic CT scan dataset can contribute to groundbreaking projects and advancements in medical technology. For any inquiries or to get started, please don’t hesitate to contact us!

Hipsters in USA

This dataset ranks the level of hipster activity by the block group level @ US

By Chad Gardner [source]

About this dataset

Explore the hidden depths of human behavior and personality using ML for the first time with this cutting-edge data set from Spatial.ai!

We curate an unrivaled collection of over 4 billion social media data points from monthly contributions of 140 million new entries. Our proprietary algorithms then filter, clean, and analyze these immense datasets to boil down their predictive values that can accurately quantify the qualitative essence at any given community or demographic. We sort these insights into 100+ socially relevant segments across by index score across North America or International locations for easy use in measuring human behavior.

Leverage this sample dataset to get a feel for how detailed and expansive our offerings are; you won't be disappointed! For all your questions, don't hesitate to reach out to our helpful support team at supportspatial.ai. Ready to dive in? Check hundreds more social topics and segmentation taxonomy right now at taxonomy.spatial.ai!

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

This dataset is a great resource to help you quantify the behaviors and preferences of hipsters in the United States. Using this information, you can gain insights into popular trends among hipsters, identify emerging trends early on, and even uncover hidden gems in the US hipster scene.

Research Ideas

• Measuring trend changes in the hipster population across different city blocks.
• Guiding marketers to target areas with a higher concentration of hipsters for promotions and product campaigns.
• Pinpointing key locations for businesses that cater to hipster customers, such as specialty coffee shops, vintage stores, or art galleries

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) - You are free to: - Share - copy and redistribute the material in any medium or format for non-commercial purposes only. - Adapt - remix, transform, and build upon the material for non-commercial purposes only. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - You may not: - Use the material for commercial purposes.

Columns

File: spatial_self_identifying_hipster_dataset.csv | Column name | Description | |:-----------------------------------|:-------------------------------------------------------------------------------------------------------| | social_media_volume_percentile | The percentile of social media usage for the self-identifying hipster population in the USA. (Numeric) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Chad Gardner.

Success.ai’s B2B Contact Data for Human Resources Professionals Worldwide empowers businesses to connect with HR leaders across the globe. With access to over 170 million verified professional profiles, this dataset includes critical contact information for key HR decision-makers in various industries. Whether you’re targeting HR directors, talent acquisition specialists, or employee relations managers, Success.ai ensures accurate and effective outreach.

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1. Comprehensive Contact Information:
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3. Data accuracy is backed by AI validation to ensure 99% reliability.

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5. Includes profiles of HR directors, recruiters, payroll specialists, and training managers.

6. Covers regions such as North America, Europe, Asia-Pacific, South America, and the Middle East.

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8. Real-time updates provide the latest information about HR professionals in decision-making roles.

9. Ethical and Compliant:

10. Adheres to GDPR, CCPA, and other global privacy regulations for ethical use of data.

Data Highlights: - 170M+ Verified Professional Profiles: Includes HR professionals from diverse industries. - 50M Work Emails: Verified and AI-validated for seamless communication. - 30M Company Profiles: Rich insights to support detailed targeting. - 700M Global Professional Profiles: Enriched data for broad business objectives.

Key Features of the Dataset:

• HR Decision-Maker Profiles: Identify and connect with HR professionals at all levels, including C-suite HR leaders.
• Advanced Filters for Precision Targeting: Filter by industry, company size, location, and specific HR roles for precise results.
• AI-Driven Enrichment: Profiles enriched with actionable data for personalized engagement.

Strategic Use Cases:

1. Recruitment Solutions and HR Services:
2. Offer your HR technology, software, or services directly to decision-makers.

3. Build relationships with professionals managing recruitment, payroll, or employee engagement.

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5. Reach training managers to promote learning solutions, workshops, and skill-building programs.

6. Showcase personalized employee development initiatives.

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8. Design campaigns to promote HR-focused tools, resources, or consultancy services.

9. Leverage verified contact data for higher engagement and conversions.

10. HR Tech Solutions:

11. Present HR software, automation tools, or cloud solutions to relevant decision-makers.

12. Target professionals managing HR digital transformation.

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4. Customizable and Scalable Solutions: Tailor data to your specific industry or HR role requirements.

APIs for Enhanced Functionality

1. Data Enrichment API: Enrich existing records with verified HR contact data.
2. Lead Generation API: Automate lead generation for HR-specific campaigns and initiatives.

Leverage B2B Contact Data for Human Resources Professionals Worldwide to connect with HR leaders and decision-makers in your target market. Success.ai offers verified work emails, phone numbers, and continuously updated profiles to ensure effective outreach and impactful communication.

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INDICATOR DEFINITION Count of all adult females, fully weaned pups and dead pups hauled out on, or close to, the day of maximum cow numbers, set for October 15.

TYPE OF INDICATOR There are three types of indicators used in this report: 1.Describes the CONDITION of important elements of a system; 2.Show the extent of the major PRESSURES exerted on a system; 3.Determine RESPONSES to either condition or changes in the condition of a system.

This indicator is one of: CONDITION

RATIONALE FOR INDICATOR SELECTION Elephant seals from Macquarie Island are long distance foragers who can utilise the Southern Ocean both west as far as Heard Island and east as far as the Ross Sea. Thus their populations reflect foraging conditions across a vast area.

The slow decline in their numbers (-2.3% annually from 1988-1993) suggests that their ocean foraging has been more difficult in recent decades. Furthermore, interactions with humans are negligible due to the absence of significant overlap in their diet with commercial fisheries. This suggests that changes in 'natural' ocean conditions may have altered aspects of prey availability. It is clear that seal numbers are changing in response to ocean conditions but at the moment these conditions cannot be specified.

DESIGN AND STRATEGY FOR INDICATOR MONITORING PROGRAM Spatial Scale: Five beaches on Macquarie Island (lat54 degrees 37' 59.9' S, long 158 degrees 52' 59.9' E): North Head to Aurora Point; Aurora Point to Caroline Cove; Garden Cove to Sandy Bay; Sandy Bay to Waterfall Bay; Waterfall Bay to Hurd Point.

Frequency: Annual census on 15th October

Measurement Technique: Monitoring the Southern Elephant Seal population on Macquarie island requires a one day whole island adult female census on October 15 and a daily count of cow numbers, fully weaned pups and dead pups on the west and east isthmus beaches throughout October.

Daily cow counts during October, along the isthmus beaches close to the Station, provide data to identify exactly the day of maximum numbers. The isthmus counts are recorded under the long-established (since 1950) harem names. Daily counts allow adjustment to the census totals if the day of maximum numbers of cows ashore happens to fall on either side of October 15. Personnel need to be dispersed around the island by October 15 so that all beaches are counted for seals on that day. This has been achieved successfully for the last 15 years.

On the day of maximum haul out (around 15th October) the only Elephant seals present are cows, their young pups and adult males. The three classes can be readily distinguished and counted accurately. Lactating pups are not counted, their numbers are provided by the cow count on a 1:1 proportion. The combined count of cows, fully weaned pups and dead pups provides an index of pup production.

The count of any group is made until there is agreement between counts to better than +/- 5%. Thus there is always a double count as a minimum; the number of counts can reach double figures when a large group is enumerated. The largest single group on Macquarie Island is that at West Razorback with greater than 1,000 cows; Multiple counts are always required there.

RESEARCH ISSUES Much research has been done already to acquire demographic data so that population models can be produced. Thus there will be predicted population sizes for elephant seals on Macquarie Island in 2002 onwards and the annual censuses will allow these predictions to be tested against the actual numbers. The censuses are also a check on the population status of this endangered species.

LINKS TO OTHER INDICATORS

Mitigation strategies: Health and economic outcomes from intervention programs that reach 20%* of affected adults per million total population.