Updates

• Notice of data discontinuation: Since the start of the pandemic, AP has reported case and death counts from data provided by Johns Hopkins University. Johns Hopkins University has announced that they will stop their daily data collection efforts after March 10. As Johns Hopkins stops providing data, the AP will also stop collecting daily numbers for COVID cases and deaths. The HHS and CDC now collect and visualize key metrics for the pandemic. AP advises using those resources when reporting on the pandemic going forward.

  • CDC Weekly case and death counts (national and state level)
  • CDC County level cases and deaths
  • HHS New hospital admissions
  • CDC NowCast COVID variant proportions (national and regional level)

• April 9, 2020

  • The population estimate data for New York County, NY has been updated to include all five New York City counties (Kings County, Queens County, Bronx County, Richmond County and New York County). This has been done to match the Johns Hopkins COVID-19 data, which aggregates counts for the five New York City counties to New York County.

• April 20, 2020

  • Johns Hopkins death totals in the US now include confirmed and probable deaths in accordance with CDC guidelines as of April 14. One significant result of this change was an increase of more than 3,700 deaths in the New York City count. This change will likely result in increases for death counts elsewhere as well. The AP does not alter the Johns Hopkins source data, so probable deaths are included in this dataset as well.

• April 29, 2020

  • The AP is now providing timeseries data for counts of COVID-19 cases and deaths. The raw counts are provided here unaltered, along with a population column with Census ACS-5 estimates and calculated daily case and death rates per 100,000 people. Please read the updated caveats section for more information.

• September 1st, 2020

  • Johns Hopkins is now providing counts for the five New York City counties individually.

• February 12, 2021

  • The Ohio Department of Health recently announced that as many as 4,000 COVID-19 deaths may have been underreported through the state’s reporting system, and that the "daily reported death counts will be high for a two to three-day period."
  • Because deaths data will be anomalous for consecutive days, we have chosen to freeze Ohio's rolling average for daily deaths at the last valid measure until Johns Hopkins is able to back-distribute the data. The raw daily death counts, as reported by Johns Hopkins and including the backlogged death data, will still be present in the new_deaths column.

• February 16, 2021

  - Johns Hopkins has reconciled Ohio's historical deaths data with the state.

  Overview

The AP is using data collected by the Johns Hopkins University Center for Systems Science and Engineering as our source for outbreak caseloads and death counts for the United States and globally.

The Hopkins data is available at the county level in the United States. The AP has paired this data with population figures and county rural/urban designations, and has calculated caseload and death rates per 100,000 people. Be aware that caseloads may reflect the availability of tests -- and the ability to turn around test results quickly -- rather than actual disease spread or true infection rates.

This data is from the Hopkins dashboard that is updated regularly throughout the day. Like all organizations dealing with data, Hopkins is constantly refining and cleaning up their feed, so there may be brief moments where data does not appear correctly. At this link, you’ll find the Hopkins daily data reports, and a clean version of their feed.

The AP is updating this dataset hourly at 45 minutes past the hour.

To learn more about AP's data journalism capabilities for publishers, corporations and financial institutions, go here or email kromano@ap.org.

Queries

Use AP's queries to filter the data or to join to other datasets we've made available to help cover the coronavirus pandemic

• Filter cases by state here

• Rank states by their status as current hotspots. Calculates the 7-day rolling average of new cases per capita in each state: https://data.world/associatedpress/johns-hopkins-coronavirus-case-tracker/workspace/query?queryid=481e82a4-1b2f-41c2-9ea1-d91aa4b3b1ac

• Find recent hotspots within your state by running a query to calculate the 7-day rolling average of new cases by capita in each county: https://data.world/associatedpress/johns-hopkins-coronavirus-case-tracker/workspace/query?queryid=b566f1db-3231-40fe-8099-311909b7b687&showTemplatePreview=true

• Join county-level case data to an earlier dataset released by AP on local hospital capacity here. To find out more about the hospital capacity dataset, see the full details.

• Pull the 100 counties with the highest per-capita confirmed cases here

• Rank all the counties by the highest per-capita rate of new cases in the past 7 days here. Be aware that because this ranks per-capita caseloads, very small counties may rise to the very top, so take into account raw caseload figures as well.

Interactive

The AP has designed an interactive map to track COVID-19 cases reported by Johns Hopkins.

@(https://datawrapper.dwcdn.net/nRyaf/15/)

Interactive Embed Code

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Caveats

• This data represents the number of cases and deaths reported by each state and has been collected by Johns Hopkins from a number of sources cited on their website.
• In some cases, deaths or cases of people who've crossed state lines -- either to receive treatment or because they became sick and couldn't return home while traveling -- are reported in a state they aren't currently in, because of state reporting rules.
• In some states, there are a number of cases not assigned to a specific county -- for those cases, the county name is "unassigned to a single county"
• This data should be credited to Johns Hopkins University's COVID-19 tracking project. The AP is simply making it available here for ease of use for reporters and members.
• Caseloads may reflect the availability of tests -- and the ability to turn around test results quickly -- rather than actual disease spread or true infection rates.
• Population estimates at the county level are drawn from 2014-18 5-year estimates from the American Community Survey.
• The Urban/Rural classification scheme is from the Center for Disease Control and Preventions's National Center for Health Statistics. It puts each county into one of six categories -- from Large Central Metro to Non-Core -- according to population and other characteristics. More details about the classifications can be found here.

Johns Hopkins timeseries data - Johns Hopkins pulls data regularly to update their dashboard. Once a day, around 8pm EDT, Johns Hopkins adds the counts for all areas they cover to the timeseries file. These counts are snapshots of the latest cumulative counts provided by the source on that day. This can lead to inconsistencies if a source updates their historical data for accuracy, either increasing or decreasing the latest cumulative count. - Johns Hopkins periodically edits their historical timeseries data for accuracy. They provide a file documenting all errors in their timeseries files that they have identified and fixed here

Attribution

This data should be credited to Johns Hopkins University COVID-19 tracking project

Information on the chain of ownership for various energy projects. The data maps each level of the chain from the direct owner up to their highest-level ultimate parents.

The Fitness Tracker Market size was valued at USD 52.29 Billion in 2024 and is projected to reach USD 189.98 Billion by 2032, growing at a CAGR of 17.50% from 2026 to 2032.

Key Market Drivers

Increasing Health Awareness: According to the World Health Organization (WHO), global obesity has nearly tripled since 1975, with 39% of adults overweight in 2016. This health crisis is pushing more people towards fitness monitoring. Growing awareness about fitness and preventive healthcare drives the adoption of fitness trackers.

Technological Advancements: According to the Pew Research Center, 85% of Americans owned a smartphone in 2021, up from 35% in 2011, providing a strong foundation for fitness tracker integration. Integration of advanced features like ECG monitoring, SpO2 tracking, and GPS enhances product appeal.

Annual Bluetooth location services device shipments worldwide stood at *** million units in 2023. Yearly shipments are forecast to reach *** million units in 2028. Major use cases for bluetooth-enabled location services devices are asset tracking, indoor navigation, digital keys, and personal item finding.

The global fitness tracker shipments show a considerable growth in the recent years and is projected to reach a 100 million mark by 2022. The shipments are forecast to reach ** million units in 2021 taking into account the disruptions caused by the pandemic.

The Near-Earth Asteroid Tracking (NEAT) project began as a collaborative effort with the United States Air Force (USAF) in December 1995. It concentrated on the discovery and observations of near-Earth asteroids and comets, collectively called near-Earth objects (NEOs). NEAT ended its observations in April 2007. Throughout its history, NEAT utilized three 1m class telescopes - two on the Hawaiian island of Maui and the 1.2m Oschin Schmidt telescope at Palomar Observatory near San Diego, CA. Three unique cameras were developed and used throughout the program. These data are intended to be usable for photometric analysis of the various objects within the NEAT data. Most nights included calibration data, and the lists of photometric standard calibration fields.

The Report Covers Smart Tracker Market Trends, and It is Segmented by Technology (Cellular, Bluetooth, GPS, and UWB) and Geography (North America, Europe, Asia-Pacific, Rest of the World). The Market Size and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

The Global Tracking Framework (GTF) measures how the world is progressing toward Sustainable Energy for All, tracking country-level indicators for energy access, renewable energy and energy efficiency. The third edition of the GTF provides an evidence-based look at progress at the regional, country, and international level toward ensuring universal access to modern energy services, doubling the share of renewable energy in the global energy mix, and doubling the global rate of improvement in energy efficiency. The report provides an overview of long-term trends since 1990 and focuses on progress achieved in the most recent period, 2012–14. The Global Tracking Framework 2017 was led by the World Bank and International Energy Agency (IEA), in coordination with the Energy Sector Management Assistance Program (ESMAP) and over 20 other partner agencies (full list available at http://gtf.esmap.org/about-us) To learn more, please visit http://gtf.esmap.org/

physics-from-video/OLD-sam2-real-world-tracking dataset hosted on Hugging Face and contributed by the HF Datasets community

Airport Baggage Tracking Systems Market Outlook

The global airport baggage tracking systems market size is projected to grow from USD 450 million in 2023 to USD 1,045 million by 2032, reflecting a robust compound annual growth rate (CAGR) of 9.5% over the forecast period. A significant growth factor driving this market is the increasing need for efficient and reliable baggage handling solutions to enhance passenger satisfaction and reduce instances of lost or mishandled luggage.

One of the primary growth factors for the airport baggage tracking systems market is the rapid advancement in technology, particularly the adoption of Radio Frequency Identification (RFID) technology. RFID offers real-time tracking and ensures higher accuracy in baggage handling compared to traditional barcode systems. As airlines and airports strive to improve operational efficiency and reduce costs associated with lost luggage, the demand for RFID-based systems is expected to surge. Additionally, the integration of the Internet of Things (IoT) in baggage tracking systems is anticipated to revolutionize the industry by providing real-time data analytics and enhanced connectivity.

Another significant growth driver is the increasing global air travel demand. With the number of air passengers rising each year, there is a corresponding increase in the volume of baggage that needs to be tracked and managed. Airports around the world are investing in advanced baggage tracking systems to cope with this growing demand, ensuring that they can handle larger volumes of luggage more efficiently. Furthermore, the push from regulatory bodies, such as the International Air Transport Association (IATA), for the adoption of baggage tracking standards like Resolution 753, is compelling airlines and airports to upgrade their existing systems.

The need for enhanced passenger experience is also fuelling the market growth. Passengers today expect a seamless travel experience, and the assurance that their luggage will arrive at their destination on time plays a crucial role in their overall satisfaction. Advanced baggage tracking systems provide passengers with real-time updates about the status and location of their luggage, thus reducing anxiety and enhancing the travel experience. This demand for improved passenger services is encouraging airlines and airports to invest in state-of-the-art baggage tracking solutions.

Regionally, the Asia Pacific region is expected to witness significant growth in the airport baggage tracking systems market. This can be attributed to the rapid expansion of airport infrastructure in countries like China and India, coupled with the increasing number of air passengers in the region. North America and Europe are also notable markets due to the early adoption of advanced technologies and the presence of major airport hubs. The Middle East & Africa and Latin America regions are gradually catching up as they invest more in upgrading their airport infrastructure to meet international standards.

Technology Analysis

The airport baggage tracking systems market is segmented by technology into RFID, barcode, GPS, and others. RFID technology stands out as a game-changer in the industry due to its ability to provide real-time tracking and accurate data collection. Unlike traditional barcode systems, RFID tags don't require a direct line of sight to be read, which significantly speeds up the baggage handling process. The superior accuracy and reliability of RFID technology are driving its adoption across major airports and airlines worldwide. Additionally, the decreasing cost of RFID tags over the years has made this technology more accessible and economically viable for large-scale implementation.

Barcodes have been the traditional technology used in baggage tracking for several years. Despite their widespread use, barcode systems have limitations, such as the need for manual scanning and the potential for human error. However, barcodes still play a crucial role in many airports, especially those with budget constraints or lower passenger volumes. As an established and relatively low-cost solution, barcode systems are expected to maintain their presence in the market, particularly in regions where cost is a significant factor.

GPS technology is emerging as a complementary solution in baggage tracking systems. By integrating GPS with other tracking methods, such as RFID, airports and airlines can offer passengers real-time updates on their baggage location, even when the luggage is in transit between airports. This added layer of tracking en

In December 2020, news media reported a new variant of the coronavirus that causes COVID-19, and since then, other variants have been identified and are under investigation. The new variants raise questions: Are people more at risk for getting sick? Will the COVID-19 vaccines still work? Are there new or different things you should do now to keep your family safe?

Citation

Zhang, Alice Tianbo, and Vincent Xinyi Gu. 2023. “Global Dam Tracker: A Database of More than 35,000 Dams with Location, Catchment, and Attribute Information.” Scientific Data 10 (1): 111.

https://www.nature.com/articles/s41597-023-02008-2

Description

We present one of the most comprehensive geo-referenced global dam databases to date. The Global Dam Tracker (GDAT) contains 35,000 dams with cross-validated geo-coordinates, satellite-derived catchment areas, and detailed attribute information. Combining GDAT with fine-scaled satellite data spanning three decades, we demonstrate how GDAT improves upon existing databases to enable the inter-temporal analysis of the costs and benefits of dam construction on a global scale. Our findings show that over the past three decades, dams have contributed to a dramatic increase in global surface water coverage, especially in developing countries in Asia and South America. This is an important step toward a more systematic understanding of the worldwide impact of dams on local communities. By filling in the data gap, GDAT would help inform a more sustainable and equitable approach to energy access and economic development.

The Green Recovery Tracker assesses the contribution of EU member states' national recovery plans to the green transition. The assessment is based on a quantitative and qualitative analysis conducted in partnership with local experts. Details on the methodology are available at https://www.greenrecoverytracker.org/methodology

Laser Tracker Market size was valued at USD 479.54 Million in 2024 and is projected to reach USD 1167.11 Million by 2031, growing at a CAGR of 11.76% from 2024 to 2031.

Key Market Drivers Increased Demand for High Accuracy and Precision: The growing demand for high accuracy and precision in industries such as aerospace, automotive, and manufacturing is propelling the Laser Tracking Market forward. This need stems from the requirement for precise measurements in crucial components and processes within these industries. As a result, laser trackers, known for their unparalleled precision, emerged as crucial instruments in applications such as aircraft assembly and alignment, meeting the severe standards of these industries. Expansion of Aerospace and Shipbuilding Industries: The necessity for high-precision measurements in the aerospace and shipbuilding industries drives the deployment of laser tracking technologies. As these industries grow, laser trackers become increasingly important in assuring the quality, safety, and efficiency of industrial processes, resulting in their extensive market adoption. Renewable Energy Sector Growth: The need for laser tracking in these industries increases in parallel with the increased emphasis on renewable energy on a worldwide scale. The technology's capacity to give accurate readings over vast distances makes it a critical enabler for the continued expansion and efficiency of renewable energy infrastructures. As a result, the symbiotic relationship between the expanding renewable energy industry and the critical role of laser trackers defines the latter as a key driver in the Laser Tracking Market.

The Global solar tracker market is set to reach USD 25.43 billion by 2030, rising from USD 10.43 billion in 2024, growing at 16.3% CAGR due to tech progress.

The statistic shows fitness tracker device shipments worldwide from 2016 to 2022. Global shipments of fitness tracker devices are forecast to amount to around ***** million units by 2018.

A collection of 10 brain maps. Each brain map is a 3D array of values representing properties of the brain at different locations.

Collection description

This collection contains the images from the paper titled "Neural Tracking of Social Hierarchies in Adolescents’ Real-World Social Networks" by Junqiang Dai, Nathan A. Jorgensen, Natasha Duell, Jimmy Capella, Maria Maza, Seh-Joo Kwon, Mitchell J. Prinstein, Kristen A. Lindquist, Eva H. Telzer* (ehtelzer@unc.edu). We combined sociometric nomination and neuroimaging techniques to investigate how adolescents' brains keep track of their emerging peer-based social hierarchies. Uploaded data includes results from whole-brain analyses (i.e., high peer status, low peer status, high vs. low peer status) and conjunction analysis (i.e., the neural representation of high and low peer status). This manuscript is currently submitted to Social Affective Cognitive Neuroscience.

Global Solar Tracker market size is expected to reach $21.7 billion by 2029 at 15.6%, driving forces in renewable energy accelerating growth in the solar tracker market for power generation

This statistic shows the projected size of the track and trace solutions market worldwide in 2024 and 2029. For 2024, the market size is projected at some 3.1 billion U.S. dollars worldwide. By 2029, the market is expected to increase up to 4.8 billion dollars.