This is the static test data from the study "Global Geolocated Realtime Data of Interfleet Urban Transit Bus Iding" collected by GRD-TRT-BUF-4I. Updated versions are available here.test-data-a.csv was collected from December 31, 2023 00:01:30 UTC to January 1, 2024 00:01:30 UTC.test-data-b.csv was collected from January 4, 2024 01:30:30 UTC to January 5, 2024 01:30:30 UTC.test-data-c.csv was collected from January 10, 2024 16:05:30 UTC to January 11, 2024 16:05:30 UTC.test-data-d.csv was collected from January 15, 2024 22:30:21 UTC to January 16, 2024 22:30:17 UTC.test-data-e.csv was collected from February 16, 2024 22:30:21 UTC to February 17, 2024 22:30:20 UTC.test-data-f.csv was collected from February 21, 2024 22:30:21 UTC to February 22, 2024 22:30:20 UTC.

Check Market Research Intellect's GIS In Transportation Market Report, pegged at USD 6.2 billion in 2024 and projected to reach USD 12.3 billion by 2033, advancing with a CAGR of 8.5% (2026-2033).Explore factors such as rising applications, technological shifts, and industry leaders.

Data Card for 中華民國台灣之判決書要旨對話集（tw-judgment-gist-chat）

  Dataset Summary

本資料集是將司法院精選判決書透過 gpt-4o 生成的法律要旨對話集。

  Supported Tasks and Leaderboards

本資料集可以運用在 Supervised Fine-tuning，讓模型學會如何回答判決書的要旨。

  Languages

繁體中文。 ...(WIP)...

Lucy2024/avsolatorio-GIST-small-Embedding-v0-arguana-text-30 dataset hosted on Hugging Face and contributed by the HF Datasets community

GIS in Transportation Market size was valued at USD 13250.25 million in 2024 and the revenue is expected to grow at a CAGR of 9.15% from 2025 to 2032

The Annual Average Daily Traffic (AADT) is the estimated mean daily traffic volume and the Commercial Annual Average Daily Traffic (CAADT) is the estimated mean daily traffic volume for commercial vehicles. For continuous sites, estimates are calculated by summing the Annual Average Days of the Week and dividing by seven. For short-count sites, estimates are made by factoring a short count using Seasonal and Axle (if applicable) day-of-week adjustment factors.Data Coverage: The dataset covers the entire Federal Aid System in the State of Michigan Update Cycle: AADT & CAADT volumes are created and released every year.Transportation Data Management System (TDMS) AADT Calculation HelpTraffic Monitoring Program

Clean Transportation Program Data 2022. The Clean Transportation Program (also known as Alternative and Renewable Fuel and Vehicle Technology Program) invests up to $100 million annually in a broad portfolio of transportation and fuel transportation projects throughout the state. The Energy Commission leverages public and private investments to support adoption of cleaner transportation powered by alternative and renewable fuels. The program plays an important role in achieving California’s ambitious goals on climate change, petroleum reduction, and adoption of zero-emission vehicles, as well as efforts to reach air quality standards. The program also supports the state’s sustainable, long-term economic development.Data within this application was last updated August 2024.For more information on the Clean Transportation Program, visit:https://www.energy.ca.gov/programs-and-topics/programs/clean-transportation-program

GIS Day 2024 marks the 25th edition of GIS day and I suppose when you think about how different GIS is today to what it was in 1999, we have come a long way! For those who can't imagine what GIS was like back then, it was a lot of big computers, floppy discs and command line frustration. If you are interested, have a look at the videos below:

This dataset contains searchable text files used in the research:Table of Contents of 25 geospatial science textbooks (.zip file)The 244 GIST Body of Knowledge topics (.zip file)The 2024 Esri User Conference agenda (.txt file)The video transcripts for the Esri Spatial Data Science MOOC (.zip file)The text files for the syllabus for 33 Penn State OGE program courses (.zip file)The text files for course texts for 32 Penn State OGE program courses (.zip file)

Abstract: The Massachusetts Department of Transportation Highway Division Traffic Inventory contains the spatial linework for all the public and a good portion of the private roadways in Massachusetts, along with roadway attributes covering the roadway classification, ownership, traffic volumes, and more.

The global geographic information system (GIS) market size reached USD 14.4 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 37.1 Billion by 2033, exhibiting a growth rate (CAGR) of 11.1% during 2025-2033. The increasing demand for advanced solutions across the transportation, real estate, military, and agriculture sectors represents one of the primary factors bolstering the market.

IMARC Group provides an analysis of the key trends in each segment of the market, along with the geographic information system market forecast at the global, regional, and country levels for 2025-2033. Our report has categorized the market based on the component, function, device, and end use industry.

DescriptionThis dataset includes a multimodal assessment of the Cleveland Transportation Network, conducted as part of the Cleveland Moves initiative. It evaluates need and comfort levels to improve safety and mobility on Cleveland streets.The Pedestrian Crossing Level of Stress layer was created by Toole Design and uses attributes such as number of lanes, speed limit, and presence of pedestrian islands to assess crossing stress. Data sources include Ohio and City of Cleveland street and intersection data (2024).The Bicycle Level of Traffic Stress layer, also developed by Toole Design, evaluates stress for cyclists based on lane count, speed limit, bikeway type, and other factors. This data was also generated in 2024.The ODOT Active Transportation Need layer was developed by the Ohio Department of Transportation. It incorporates factors such as vehicle access and poverty rates to determine transportation need.Update FrequencyThis dataset will be updated with additional analysis from the Cleveland Moves planning process by early 2025. After that, updates will occur annually to reflect changes aimed at improving safety and mobility.Related ApplicationsA summary of this dataset is available in the Cleveland Moves Network Assessment Dashboard.The ODOT Active Transportation Need dataset was developed by the Ohio Department of Transportation. More information is available on their website: ODOT GlossaryContactsSarah Davis, Active Transportation Senior Plannersdavis2@clevelandohio.gov

The TxDOT Roadway Inventory is a statewide dataset of attribute data routed to TxDOT's roadway network linework using linear referencing. Roadways are dynamically segmented whenever a single attribute changes, resulting in a highly segmented network that can be queried and filtered for specific attribute values. Attributes such as functional system, traffic counts, surface type, speed limits and many more are contained within. This layer is published annually based on end-of-year data that is reported to the Federal Highway Administration. This layer is highly segmented and thus in a different format than most of our regularly published datasets, which are segmented based on a single attribute. The TxDOT Roadway Inventory layer can also be found on txdot.gov and TxDOT’s Open Data Portal. This product is created annually by the Transportation Planning and Programming Division at TxDOT in the Data Analysis, Mapping and Reporting Branch for internal and public use. Last Revision: 08/27/2025Roadway Inventory Specifications 2024 AGO OverviewTxDOT Roadway Inventory Specifications 2024 PDF link in AGO Update Frequency: 1 YearsSource: Geospatial Roadway Inventory Database (GRID)Security Level: PublicOwned by TxDOT: TrueRelated LinksData Dictionary PDF [Generated 2025/04/24]Update Frequency: 1 YearsSource: Geospatial Roadway Inventory Database (GRID)Security Level: PublicOwned by TxDOT: TrueRelated LinksData Dictionary PDF [Generated 2025/08/27]

Meer informatie over het Brewer Gist Powder Market -rapport van Market Research Intellect, dat in 2024 op USD 1,25 miljard stond en naar verwachting zal uitbreiden naar USD 1,85 miljard tegen 2033, groeit met een CAGR van 5,5%. Ontdek hoe nieuwe strategieën, stijgende beleggingen en topspelers de toekomst vormen.

Mobile GIS Data Collection Software Market Outlook

According to our latest research, the global Mobile GIS Data Collection Software market size reached USD 2.14 billion in 2024, and is anticipated to grow at a robust CAGR of 13.7% during the forecast period, reaching approximately USD 6.42 billion by 2033. This strong growth trajectory is primarily driven by the increasing demand for real-time geospatial data across multiple industries, the proliferation of mobile devices, and the integration of advanced technologies such as IoT and AI into GIS solutions. As organizations globally seek to enhance operational efficiency and decision-making capabilities, the adoption of mobile GIS data collection software continues to accelerate, reshaping the landscape of field data management and spatial analytics.

One of the pivotal growth factors for the Mobile GIS Data Collection Software market is the rapid digital transformation across industries such as utilities, transportation, agriculture, and government. Organizations are increasingly leveraging geospatial data to streamline field operations, optimize resource allocation, and improve asset management. The shift towards digitized workflows has created a surge in demand for mobile GIS solutions that enable real-time data capture, analysis, and sharing from remote locations. Furthermore, the growing emphasis on smart infrastructure and sustainable urban planning has amplified the need for accurate, up-to-date geographic information, positioning mobile GIS software as a critical tool in supporting these initiatives. The convergence of cloud computing, 5G connectivity, and mobile technologies is further enhancing the capabilities and accessibility of GIS platforms, making them indispensable for modern enterprises.

Another significant driver is the increasing adoption of IoT and sensor technologies, which are generating vast volumes of spatial data that require efficient collection, processing, and analysis. Mobile GIS data collection software enables seamless integration with IoT devices, allowing for automated data acquisition and real-time monitoring of assets, environmental conditions, and infrastructure. This capability is particularly valuable in sectors like environmental monitoring, utilities management, and agriculture, where timely and accurate geospatial data is essential for informed decision-making. Additionally, advancements in artificial intelligence and machine learning are empowering GIS software to deliver predictive analytics, anomaly detection, and advanced visualization, further expanding the application scope and value proposition of mobile GIS solutions.

The market is also benefiting from the increasing focus on regulatory compliance and safety standards, particularly in industries such as oil and gas, construction, and transportation. Mobile GIS data collection software facilitates compliance by providing accurate and auditable records of field activities, asset inspections, and environmental assessments. Moreover, the growing need for disaster management, emergency response, and public health surveillance is driving government agencies to invest in robust GIS platforms that support rapid data collection and situational awareness. As a result, vendors are continuously innovating to offer user-friendly, scalable, and secure solutions that cater to the evolving needs of diverse end-users, further fueling market expansion.

The integration of Mobile Mapping System technology into mobile GIS solutions is revolutionizing the way geospatial data is collected and analyzed. By utilizing vehicles equipped with advanced sensors and cameras, Mobile Mapping Systems enable the rapid and accurate capture of geospatial data across large areas. This technology is particularly beneficial for urban planning, infrastructure management, and environmental monitoring, where timely and precise data is crucial. As industries strive to enhance their operational capabilities, the adoption of Mobile Mapping Systems is becoming increasingly prevalent, providing a competitive edge through improved data accuracy and efficiency.

Regionally, North America currently dominates the Mobile GIS Data Collection Software market, accounting for the largest share in 2024, followed closely by Europe and the Asia Pacific. The presence of leading technology providers, high adoption rates of digital soluti

A vector line file of public/private streets compiled from orthoimagery and other sources that is attributed with street names, addresses, route numbers, routing attributes, and includes a related table of alternate/alias street names. If the purpose of using NYS Streets is for geocoding, the New York State Office of Information Technology Services (NYS ITS) has a publicly available geocoding service which includes the NYS Streets along with other layers. For more information about the geocoding service, please visit http://gis.ny.gov/gisdata/inventories/details.cfm?DSID=1278.

Maryland Transit Administration Metro Subway Stations. Ridership data is based MTA's Fiscal Year 2024. Data last updated: 10/2024. See https://mta.maryland.gov/metro-subway for more information.

This service provides the point dataset representing bridges and other structures, extracted and attributed by the NCDOT Bridge Maintenance Unit's bridge database. The bridge layer is a compilation of data originally found in the Bridge Inventory maps produced by the Mapping group of the State Road Maintenance Unit which has been supplemented with updates from the bridge database of the NCDOT's Bridge Maintenance Unit. This service includes points representing locations of the following structure types:BridgeFederal BridgeLarge PipeCulvertRailroad BridgeTunnelPedestrian WalkwayPedestrian UnderpassPedestrian BridgeCantilever SignOverhead SignT-Pole SignFerry RampPrivate StructureVehicular UnderpassMetadataThe metadata for the contained layer of the NCDOT Structures Service is available through the following link:NCDOT StructuresPoint of Contact North Carolina Department of Information Technology -Transportation, GIS UnitGIS Data and Services ConsultantContact information:gishelp@ncdot.govCentury Center – Building B1020 Birch Ridge DriveRaleigh, NC 27610Hours of service: 9:00am - 5:00pm Monday – FridayContact instructions: Please send an email with any issues, questions, or comments regarding the Structures data. If it is an immediate need, please indicate as such in the subject line in an email.NCDOT GIS Unit GO! NC Product TeamLastUpdated: 2024-11-11 00:00:00