A beacon is a warning device to draw a vehicle operator’s attention to an associated message that is important to the safe operation of the vehicle on a specific stretch of roadway. Displays beacon assemblies maintained by the Seattle Department of Transportation.Views: Link, which adds the recommended filter for general use of the dataset: 'CURRENT_STATUS includes(INSVC, PLNRECON) OR CURRENT_STATUS is empty string'Refresh Cycle: Feature Class: SDOT.V_BEACON

This statistic presents the global market value of beacons technology in 2016 and 2026, by end user application. In 2016, the beacons technology's application in the retail industry was worth 280.6 million U.S. dollars.

The beacon featureclass contains location and operating status. This geospatial point file provides information on beacons as they are used for the Airport Diagrams. These are captured utilizing source imagery and verified with data from official sources.

This dataset is about companies and is filtered where the city includes Beacon and the country includes United States, featuring 25 columns including CEO, CEO approval, CEO gender, city, and company. The preview is ordered by revenues (descending).

Displays beacon assemblies maintained by the Seattle Department of Transportation.Views: Link, which adds the recommended filter for general use of the dataset: 'CURRENT_STATUS includes(INSVC, PLNRECON) OR CURRENT_STATUS is empty string'

About this dataset

Context

The dataset tabulates the Beacon 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 Beacon 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 Beacon was 431, a 0% decrease year-by-year from 2022. Previously, in 2022, Beacon population was 431, a decline of 0% compared to a population of 431 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Beacon decreased by 120. In this period, the peak population was 559 in the year 2005. 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).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Beacon is shown in this column.
• Year on Year Change: This column displays the change in Beacon population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Beacon Population by Year. You can refer the same here

59 Global import shipment records of Beacon with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

This dataset is about books and is filtered where the book is Woodbury : a view from the Beacon, featuring 7 columns including author, BNB id, book, book publisher, and ISBN. The preview is ordered by publication date (descending).

About this dataset

Context

The dataset tabulates the Beacon 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 Beacon. The dataset can be utilized to understand the population distribution of Beacon by age. For example, using this dataset, we can identify the largest age group in Beacon.

Key observations

The largest age group in Beacon, IA was for the group of age 15 to 19 years years with a population of 64 (12.88%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Beacon, IA was the 85 years and over years with a population of 0 (0%). 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Beacon is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Beacon total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Beacon Population by Age. You can refer the same here

This dataset provides information about the number of properties, residents, and average property values for East Street cross streets in Beacon, NY.

A beacon is a prominent specially constructed object forming a conspicuous mark as a fixed aid to navigation or for use in hydrographic survey. A special purpose beacon is primarily used to indicate an area or feature, the nature of which is apparent from reference to a chart, Sailing Directions or Notices to Mariners. Beacon in general: A beacon whose appearance or purpose is not adequately known. S-57 Object Class: Beacon, special purpose/general S-57 Acronym: BCNSPP This data was compiled for the use in the scale range 1:1,500,000 and smaller. THIS DATA DOES NOT REPLACE NAUTICAL CHARTS AND MUST NOT BE USED FOR NAVIGATION. This data is based on the S-57 data format used in Electronic Navigational Charts (ENCs) published and maintained by the New Zealand Hydrographic Authority at Land Information New Zealand (LINZ). Refer to the following link for information about S-57 data: http://www.linz.govt.nz/hydro/regulation/

This dataset was created to facilitate research into indoor localization with BLE beacons. Data was collected from September 2018 to May 2019 in two separate locations. Several participants assisted with the experiment each carrying a BLE beacon and a smartphone. This dataset is released in hope that researchers will use it as a benchmark for indoor localization techniques. We initially collected this dataset noting a lack of available indoor localization datasets with labeled data. Our implementation uses the fixed-receiver moving-transmitter method of indoor localization. We use Raspberry Pis and BLE beacons as our receivers and transmitters respectively. Android Minimum Version | 4.4 Beacon Type | Gimbal Series 10 Beacon Profile | iBeacon Beacon Transmit Power | 0 dbm Beacon Transmission Interval | 10 Hz Beacon Calibrated Power | Unused Edge Type | Raspberry Pi 3 Raspberry Pi OS | Raspbian Jessie Lite Raspberry Pi Software | Beaconpi Edge Placement Height | 1.6 Metres We use Raspberry Pis and BLE beacons as our receivers and for brevity we subsequently use edge and beacon' to refer to these. The data recording was done via the Beaconpi software. Beaconpi runs both on the edges and a centralized server which communicates bidirectionally between the two main components. The edges and server components sync to the same clock to ensure all elements of the system have a consistent clock. The frame records the fingerprint and the Received Signal Strength Indicator (RSSI) at the edge. To validate our methods we also collect ground truths via an Android application (MapTracker) as the participants move around the experiment area. The Android application records the location of the wearer via self reporting and also collects the accelerometer and gyroscope data for the participant. The participants were asked to randomly walk around the room for around 3 minutes at least 3 times a day. This varied as is evident from the dataset which was expected. The participants walked in straight lines between landmarks that were placed frequently in the space. More details exist in the README.md file. The dataset can also be accessed in GitHub: BLE Beacon Indoor Localization Dataset (BBIL Dataset) [Copyright (c) 2019 Maeve Kennedy]

This dataset contains observations to support the development of the Beacon Wind Offshore Wind Project and to further understanding of metocean conditions off the coast of Massachusetts. The Beacon Wind Site Assessment Plan approved by the Bureau of Ocean Energy Management can be found at Beacon Wind | Bureau of Ocean Energy Management (boem.gov) Data is collected from one Floating LiDAR Buoy, two Wave/Met Buoys, and two Current Meter Moorings. The dataset includes measurements of sea temperature, current speed, current direction, waves, air temperature, atmospheric pressure, relative humidity, wind speed, and wind direction.

GEOS2OBSINPUTINTL is the optical beacon system data product which contains reduced raw geodetic optical observations obtained by various international camera systems. These data were used as input to the Quality Control Program to create the product called the International Optical Beacon Pass Summary Data. The optical beacon system, used for geometric geodesy studies, consisted of four xenon flash tubes programmed to flash sequentially, in a series of five or seven flashes. Data are available for the time period from 1968-02-20 to 1968-10-03 in a single file with 1689 data records where each is a line of ASCII text.

The principal investigator for the Optical Beacon System experiment was R. E. Williston from APL. A previous version of this instrument flew on the first GEOS-1 satellite.

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in Beacon, NY, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Beacon, NY reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Beacon households based on income levels.

Key observations

• For Family Households: In Beacon, the majority of family households, representing 21.17%, earn $200,000 or more, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.0%, have incomes falling $45,000 to $49,999, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Beacon, the majority of non-family households, accounting for 12.99%, have income $75,000 to $99,999, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 0.88%, earn $45,000 to $49,999, representing a smaller, yet notable, portion of non-family households in the community.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Beacon, NY (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in Beacon, NY
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in Beacon, NY
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Beacon, NY

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 Beacon median household income. You can refer the same here

Beacon Wind Met Buoy 1 (SW Corner) - Realtime Data. This dataset contains observations to support the development of the Beacon Wind Offshore Wind Project and to further understanding of metocean conditions off the coast of Massachusetts. The Beacon Wind Site Assessment Plan approved by the Bureau of Ocean Energy Management can be found at Beacon Wind | Bureau of Ocean Energy Management (boem.gov) Data is collected from one Floating LiDAR Buoy, two Wave/Met Buoys, and two Current Meter Moorings. The dataset includes measurements of sea temperature, current speed, current direction, waves, air temperature, atmospheric pressure, relative humidity, wind speed, and wind direction.

Pending Effective Date: 0901Z 20 Feb 2025 to 0901Z 17 Apr 2025Individual Instrument Landing System (ILS) Components that function together to form the Instrument Landing System. The ILS Component data is provided as a geospatial-enabled vector file format. ILS Component data and information is published every eight weeks by the U.S. Department of Transportation, Federal Aviation Administration-Aeronautical Information Services.

The BLEBeacon dataset is a collection of Bluetooth Low Energy (BLE) advertisement packets/traces generated from BLE beacons carried by people following their daily routine inside a university building for a whole month. A network of Raspberry Pi 3 (RPi)-based edge devices were deployed inside a multi-floor facility continuously gathering BLE advertisement packets and storing them in a cloud-based environment. The focus is on presenting a real-life realization of a location-aware sensing infrastructure, that can provide insights for smart sensing platforms, crowd-based applications, building management, and user-localization frameworks.last modified : 2019-03-12nickname : blebeaconinstitution : The University of New Mexico - UNMrelease date : 2019-03-12date/time of measurement start : September 15 2016date/time of measurement end : October 17 2016collection environment : The BLEBeacon Dataset is a collection of BLE advertisement packets gathered from a three-floor sensing infrastructure accommodating real-participants carrying iBeacons, following their routines during a one-month period. Possible uses of the dataset include network behavior and reliability detection in similar sensing environments, user mobility pattern extraction due to the experiments length, occupancy clustering with group identification/monitoring, and provision of facility management or crowd monitoring application insights considering real-life conditions.network configuration : The utilized network architecture consists of a set of raspberry pi nodes that continuously gather packets through the wireless Bluetooth interface, and forward the information to a remote cloud-based database. The originator of the wireless Bluetooth packets are iBeacon Bluetooth devices that were provided to trial participants. The data collection was implemented with a publish-subscribe mechanism.data collection methodology : N/Asanitization : The dataset consists of raw data. The measured rssi values do not contain any privacy-related information.limitation : N/ATracesetunm/blebeacon/RSSIReportCollesction of RSSI values of intercepted BLE packetsdescription: All advertisement packet receptions from occupant beacon devices are directly reported to the server with a message that contains the beacon/user ID, the packets Received Signal Strength Indicator (RSSI), a reception timestamp, and finally the ID of the RPi that received the advertisement.measurement purpose: User Mobility Characterizationunm/blebeacon/RSSIReport TracesRSSIReport: Collesction of RSSI values of intercepted BLE packetsformat:Format: .csvValues: Beacon/user ID,Packets Received Signal Strength Indicator (RSSI),Timestamp, ID of the RPi that received the advertisementunm/blebeacon/CheckReportCollection of continuous presence in the proximity of a location scannerdescription: Each RaspberryPi scanner continuously manages a list of current occupants/users in its proximity. A check in timestamp is created during occupants initial entry, and while this beacon is still being detected by the RPi, a last seen timestamp is updated. When the beacon is no longer detected (advertisement packets are no longer being received) a Check-In/Check-Out report packet is created and sent to the server containing the beacon/user ID, the check in timestamp, the last seen timestamp, and finally the ID of the RPi as seen in Fig. 3. A thirty second period is used to ensure that the occupant exited the RPi proximity.measurement purpose: User Mobility Characterizationunm/blebeacon/CheckReport TracesCheckReport: Collection of continuous presence in the proximity of a location scannerformat:Format: .csvValues: Beacon/user ID, the check-in timestamp,the last seen timestamp, ID of the RPi

This dataset is about books and is filtered where the book series is Beacon books, featuring 9 columns including author, BNB id, book, book publisher, and book series. The preview is ordered by publication date (descending).

Beach Advisory and Closing Online Notification system (BEACON) is a colletion of state and local data reported to EPA about beach closings and advisories. BEACON is the public-facing query of the Program tracking, Beach Advisories, Water quality standards, and Nutrients database (PRAWN) which tracks beach closing and advisory information.