Analysis of ‘Development Tracking’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/07b4a538-7bf6-4a82-af95-89fe3e0b48c7 on 13 February 2022.

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

The polygons are generated from the parcel numbers of the applications from the ARC Review Memo twice a month. Development boundaries represent the parcel's configuration during the initial application. The parcel boundary may change during subdivision recordation. The results field will give a general overview of application. Final Approval is the outcome of City Council, Planning Commission and ARC Review. The Final action date will be the date of the Final Action.

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

Analysis of ‘Grant Applications Tracking Table’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/669887ff-4ffa-48db-89d9-c56a211021b9 on 27 January 2022.

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

The Grant Applications Tracking Table tracks grant applications received by the LPC and their outcomes.

LPC's Historic Preservation Grant Program (HPGP) offers grants ranging from $10,000 to $30,000 primarily for façade restoration to not-for-profit organizations and income-eligible owners of buildings located in historic districts, or are designated individual landmarks. The grants are funded through the U.S. Department of Housing and Urban Development's Community Development Block Grant Program (CDBG). The grant program looks favorably upon applicants that can, to the extent possible, provide matching funds. The Grant Applications Tracking Table tracks grant applications recieved by the LPC and their outcomes.

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

Analysis of ‘Pending Initial Logging and Tracking Physicians’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/48aefc7a-1141-40a5-a588-915f4d75dce1 on 11 February 2022.

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

The Pending Initial Logging and Tracking (L & T) Physicians dataset provides a list of pending applications that have not been processed by CMS contractors.

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

Unlike in its African range, very little information is available on the movement patterns of Lesser Flamingos in India. In one of the first satellite telemetry studies of Lesser Flamingos in India, we provide novel insights into the species’ movement patterns, which may further supplement the existing management of their key feeding and breeding sites. We investigated the daily movement patterns corresponding to the Lesser Flamingo’s feeding strategies, long-distance movements corresponding to potential nomadism, home range patterns and habitat use across important feeding sites in India. We deployed GPS-GSM satellite transmitters on four sub-adults and tracked their movements between September 2022 and July 2023. Their home ranges were calculated using kernel density estimators, and movement patterns were calculated using the Tracking Analyst toolbox in ArcGIS software. Habitat use was investigated by employing a robust machine-learning algorithm, Random Forest. The four Lesser Flamingos covered a mean ± SD distance of 2541.55 ± 1946.04 km per month, and an average daily distance of 83.45 ± 64.63 km. Long-distance movements were observed in two individuals. Overall, the mean home ranges (95% KDE) were calculated as 223.82 ± 337.48 km2 and core areas (50% KDE) as 39.14 ± 65.71 km2. The birds’ movements were positively associated with saltpans, mudflats, waterbodies and intertidal swamps. The long-distance movement pattern observed hints at the Lesser Flamingos’ nomadism, switching between key feeding sites across Gujarat and Maharashtra. This requires the conservation of their key feeding sites, in particular, and their breeding sites in general.

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Analysis of ‘Pending Initial Logging and Tracking Non Physicians’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/4de288c7-8834-48dd-b097-3242dff38ba8 on 11 February 2022.

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

The Pending Initial Logging and Tracking (L & T) Non Physicians dataset provides a list of pending applications that have not been processed by CMS contractors for Non Physicians.

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

Discover the latest insights from Market Research Intellect's Time Tracking Tool Market Report, valued at USD 4.5 billion in 2024, with significant growth projected to USD 10.2 billion by 2033 at a CAGR of 12.8% (2026-2033).

Usecase/Applications possible with the data:

Container and vessel tracking datasets have various use cases, particularly in the logistics and shipping industry. Here are different use cases for container and vessel tracking datasets:

1. Supply Chain Visibility: Container and vessel tracking data provide insights into the entire supply chain. Companies can track the movement of goods from manufacturers to distribution centers and ultimately to customers, ensuring transparency and efficiency.

2. Market Research: Researchers and analysts can use tracking data to gain insights into global trade patterns, shipping trends, and market dynamics.

3. Real-time Container Tracking: Container tracking datasets allow businesses to monitor the real-time location and status of their shipping containers. This is crucial for supply chain optimization and ensuring the timely delivery of goods.

4. Inventory Management: By knowing the exact location and status of containers, businesses can better manage their inventory. They can plan for restocking and distribution more effectively.

5. Route Optimization: These datasets can be used to analyze historical routes and optimize future shipping routes. This can lead to cost savings and reduced transit times.

6. Environmental Impact Analysis: Tracking data can be used to assess the environmental impact of shipping activities. This includes monitoring emissions and fuel consumption, helping companies adopt more sustainable practices.

7. Insurance Claims: In case of accidents or damages during transit, tracking data can serve as evidence for insurance claims, simplifying the claims process.

These use cases demonstrate the versatility and importance of container and vessel tracking datasets in the modern shipping and logistics industry, contributing to operational efficiency, security, and overall business success.

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Analysis of ‘Pothole Tracking’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/4ee6d25b-1f42-4ef9-b2c2-b1abfe0886f2 on 26 January 2022.

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

Potholes reported and filled by the the Department of Public works.

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

Here are a few use cases for this project:

1. Sports Analysis: The "Shot Tracking" model could be used by basketball teams or analysts to track a player's made-basket percentage during actual games or during practice sessions. Data can be utilized to enhance player's shooting skills, determining their most efficient areas on the court, and tracking progress over time.

2. Game Highlights: Media companies or sports broadcasters could use the model to automatically generate game highlights, focusing on successful shots. This could streamline the video editing process and make it easier to deliver exciting content to audiences quickly.

3. Virtual Coaching: In a virtual training scenario, this model can be used to provide real-time feedback to players practicing their shots. This could help players understand their strong and weak shooting zones and improve accordingly.

4. Betting & Fantasy Leagues: The model could be utilized by sports betting companies and those involved in running basketball fantasy leagues to have access to real-time data on player shooting successes. It can also help users make informed decisions.

5. Sports Equipment Manufacturing: This model can be used in the development of interactive sports equipment (e.g., smart hoops that track shooting accuracy), helping users practice and improve their shooting skills.

Get key insights from Market Research Intellect's Vessel Tracking Market Report, valued at USD 4.5 billion in 2024, and forecast to grow to USD 9.2 billion by 2033, with a CAGR of 8.5% (2026-2033).

The automatic identification system (AIS) is an automatic tracking system that uses transceivers on ships. Information provided by AIS equipment, such as unique identification, position, course, and speed, can be displayed on a screen or an electronic chart display and information system (ECDIS). AIS is intended to assist a vessel's watchstanding officers and allow maritime authorities to track and monitor vessel movements.

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Stay updated with Market Research Intellect's Eye Tracking Software Market Report, valued at USD 1.2 billion in 2024, projected to reach USD 2.5 billion by 2033 with a CAGR of 9.5% (2026-2033).

Data on aggregated radon test results in residential properties from January 1994 to December 2024 within each geological area. View this data in the Department of Health's radon risk map.Radon is a naturally occurring radioactive gas that is estimated to kill 50 Vermonters a year due to lung cancer. Radon can only be detected by testing and buildings with elevated radon levels (≥4 pCi/L (picocuries per Liter)) are found throughout the state. The average level of radon in Vermont homes is 2.4 pCi/L compared with the national average of 1.3 pCi/L. The EPA recommends that homes testing at or above 4 pCi/L be fixed, but as there is no known safe level of radon, the EPA suggests that homes testing between 2-4 pCi/L should also be fixed. This data set contains the Environmental Health Radon program’s radon in-air long term test data from 1994-2024, and the Vermont Department of Health Laboratory’s radon in-air short, medium, and long-term test data for 2020-2024.Bedrock geology influences the amount of radon in air and water. Data is aggregated by bedrock geology type to better understand how geology affects radon in air in residences across the state. For a detailed explanation of the process used to develop the Bedrock zones map see the Read me file on DEC’s Radon page.Data SourceSource data for these maps comes from the highest radon test result ever found at a residence (many residences test more than once). Results are provided by the Radon Program long term test data (1994-2024) and the Vermont Department of Health Laboratory, short, medium, and long term test data (2020-2024). Radon results are aggregated by bedrock geology type based on whether the result was elevated (≥4.0 picocuries per liter (pCi/L)) or not elevated (<4.0 pCi/L).Data LimitationsPrison, institutional residence, and nursing home E911 locations are not included in the aggregation of residences by town or geological area. For areas of low population density or low number of tests, data extremes carry more weight and can distort analytic results. MethodologyRecord level radon in indoor air test results were extracted from the VDH-EH Radon database by Radon Program staff and from the LIMS system at the VDHL by laboratory staff. The Tracking analyst used SAS version 9.4 and ArcGIS Pro version 2.4.1 to process the data. Geocoded data from the Tracking program were used for the Radon Risk Maps. GIS work to populate the final maps was done collaboratively with partners from the Agency of Digital Services using ArcGIS Pro version 2.4.1.The residential data are from the VT Data – E911 Site Locations (address points) where the following were selected from the SITETYPE variable: mobile home, multi-family dwelling, other residential, single-family dwelling, residential farm, seasonal home, commercial with residence, condominium, and camp. The residential data in these maps is aggregated by town and geological area to provide the denominator for calculations.

Analysis of ‘DSNY Graffiti Tracking’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/12c4ba52-31f6-41de-840a-a41b70cac624 on 13 February 2022.

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

Location and resolution of reported incidents of graffiti within NYC. The Graffiti-Free NYC Program removes graffiti and other blight across the five boroughs. Graffiti-Free NYC is a cooperative effort among the NYC Economic Development Corporation, the NYC Department of Sanitation, and the Office of the Mayor. For more info, see: https://www.nycedc.com/program/graffiti-free-nyc. The COVID-19 is having a significant impact on the City’s economy and finances. As of April 21, 2020, to ensure the City can continue to devote resources to essential safety, health, shelter, and food security needs, the City suspended the Graffiti Free NYC program indefinitely. As a result, 311 has suspended processing of graffiti removal service requests.

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

Data on aggregated radon test results in residential properties from January 1994 to December 2024 within each Vermont municipality. Radon data can inform public health outreach, educate stakeholders and the public, and encourage testing and mitigation. View this data in the Department of Health's radon risk map.Radon is a naturally occurring radioactive gas that is estimated to kill 50 Vermonters a year due to lung cancer. Radon can only be detected by testing and buildings with elevated radon levels (≥4 pCi/L (picocuries per Liter)) are found throughout the state. The average level of radon in Vermont homes is 2.4 pCi/L compared with the national average of 1.3 pCi/L. The EPA recommends that homes testing at or above 4 pCi/L be fixed, but as there is no known safe level of radon, the EPA suggests that homes testing between 2-4 pCi/L should also be fixed.This data set contains the Environmental Health Radon program’s radon in-air long term test data from 1994-2024, and the Vermont Department of Health Laboratory’s radon in-air short, medium, and long-term test data for 2020-2024. Data have been geocoded and aggregated to the town level to display the number and percent of residences tested by town and the number and percent of residences tested that exceed 4 pCi/L by town.Data SourceSource data for these maps comes from the highest radon test result ever found at a residence (many residences test more than once). Results are provided by the Radon Program long term test data (1994-2024) and the Vermont Department of Health Laboratory, short, medium, and long term test data (2020-2024). Radon results are aggregated by town based on whether the result was elevated (≥4.0 pCi/L) or not elevated (<4.0 pCi/L).Data LimitationsPrison, institutional residence, and nursing home E911 locations are not included in the aggregation of residences by town or geological area. For areas of low population density or low number of tests, data extremes carry more weight and can distort analytic results. Therefore, in the Rates of Radon Testing by Town, data for towns with fewer than 7 tested residences are not displayed; and in Elevated Radon Results, data for towns with fewer than 20 tested residences are not displayed.MethodologyRecord level radon in indoor air test results were extracted from the VDH-EH Radon database by Radon Program staff and from the LIMS system at the VDHL by laboratory staff. The Tracking analyst used SAS version 9.4 and ArcGIS Pro version 2.4.1 to process the data. Geocoded data from the Tracking program were used for the Radon Risk Maps. GIS work to populate the final maps was done collaboratively with partners from the Agency of Digital Services using ArcGIS Pro version 2.4.1.The residential data are from the VT Data – E911 Site Locations (address points) where the following were selected from the SITETYPE variable: mobile home, multi-family dwelling, other residential, single-family dwelling, residential farm, seasonal home, commercial with residence, condominium, and camp. The residential data in these maps is aggregated by town and geological area to provide the denominator for calculations.

Stay updated with Market Research Intellect's Applicant Tracking Ats Software Market Report, valued at USD 2.8 billion in 2024, projected to reach USD 5.9 billion by 2033 with a CAGR of 9.2% (2026-2033).

This dataset displays coastal fish monitoring areas as defined by HELCOM FISH-PRO group and stored in HELCOM Coastal fish database (COOL).