West Flex Bus Stops.

Greene CATS is a county public transit system operated by the Greene County Transit Board providing safe, reliable, and accessible public transportation in close coordination with the county’s social service agencies, businesses, and local decision-makers. Funding for Greene CATS Public Transit Services comes from the following sources: Federal Transit Administration, Ohio Department of Transportation, matching grants, passenger fares, and purchased service agreements with Greene County Board of Developmental Disabilities, Greene County Department of Job and Family Services, and other agencies.

A complete list of live websites using the Wp Flexible Map technology, compiled through global website indexing conducted by WebTechSurvey.

The Wildland-Urban Interface (WUI) is the area where houses and natural vegetation meet or intermingle. WUI areas are exposed to an increased hazard of wildfires and have significantly expanded worldwide in the past few decades. In this study, we developed a new empirical approach for mapping the WUI by generating a WUI index based on the juxtaposition among buildings, vegetation, and the fire history of the study area. We first calculated the percentage coverage of buildings and three different fuel typologies within circular moving windows with radii of 100, 250, and 500 m, and then acquired the fire history data between 2012 and 2021 for Israel and the West Bank (Palestinian Authority) from the VIIRS active fires remote sensing product. We defined the WUI as cells where the combination of vegetation cover and building cover had more VIIRS fire detections than expected by chance. To assess the effects of using broad vs. local scale parameterizations on resulting WUI maps, we repeated this process twice, first using national-scale data, and then separately in four distinct geographic regions. We assessed the congruence in the amounts and patterns of WUI in regions as mapped by information from these two analysis scales. We found that the WUI in Israel and the West Bank ranged from 0.5% to 1.7%, depending on fuel type and moving window radius. The scale of parameterization (national vs. regional) affected the WUI patterns only in one of the regions, whose characteristics differed markedly than the rest of the country. Our new method differs from existing WUI mapping methods as it is empirical and geographically flexible. These two traits allow it to robustly map the WUI in other countries with different settlement, fuel, climate and wildfire characteristics.

Introduction This dataset provides information on where UK Power Networks requires flexibility services. The dataset provides a mapping of postcodes to Flexibility Zones – for all existing and historic day-ahead and long-term flexibility requirements. This enables potential flexibility service providers to quickly understand their eligibility for revenue from flexibility, without sharing any sensitive personal or commercial information. This dataset provides an approximation of eligibility for our flexibility tenders. Please note that even if your asset is within a postcode listed in this dataset, as part of the flexibility procurement process we will need to validate that the individual meter point (MPAN) is electrically connected to the Flexibility Zone. Methodological Approach Postcodes are listed against a Flexibility Zone where at least one meter point within that postcode is electrically connected to the constrained network asset. For large Flexibility Zones, which cover multiple postcodes, this will be a very good indication of eligibility for flexibility services. For smaller Flexibility Zones, particularly those at Low Voltage, a significant proportion of properties within a listed postcode may ultimately not be eligible. As part of our flexibility procurement process, we will check the individual meter point (MPAN) to confirm its final eligibility. This dataset offers an approximation of eligibility, without requiring any sharing of household or business level data. Quality Control Statement Dispatches are passed through a quality control algorithm to flag anomalies and erroneous data. Quality control checks include:

Checking the formatting of postcodes Checking the number of postcodes mapped to each Flexibility Zone Checking that Flexibility Zone names align with those in other datasets on the Open Data Portal and on UK Power Networks’ chosen flexibility market platform: www.localflex.co.uk

Assurance Statement The Flex Zone to Postcode mapping is reviewed before publication by a member of Flexibility Markets team.

Other

Download dataset information: Metadata (JSON)

Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/ To view this data please register and login.

Neuropixels 1.0 and 2.0 were used to collect electrophysiological data from head-fixed mice navigating virtual reality linear environments or from freely moving mice randomly foraging in open field environments. This dataset is part 2 of 2 and contains data from two tasks: 1. The Hidden Reward Track; 2. The sessions where animals first ran head-fixed in darkness and then foraged freely in an open field. More details can be found at the preprint here: https://www.biorxiv.org/content/10.1101/2023.09.07.556744v1. A link to a peer-reviewed publication will be provided once available.

This dataset contains the same variables in the .mat files as in dataset part 1 of 2, with the following exceptions. In this dataset, all but four of the VR sessions (Saline Only or Muscimol Only) are associated with Neuropixels data collected while animals ran on VR tracks (see the supplementary data table in the paper above for more details). In the four sessions where Neuropixels data were not collected, trial_starts is of length n_blocks + 1, where the final value is one greater than the total number of trials in that session. Finally, data collected from animal AJ2 on the hidden reward task took place on a 240cm VR track instead of a 200cm track.

Neuropixels 2.0 probes were chronically implanted in mice that first ran head-fixed in darkness and then freely foraging in an open field. Each session is associated with four files: 1. A .mat file containing the same variables described in dataset part 1 of 2. 2. A "_position.txt" file, which contains behaviorally relevant variables, such as position, heading direction, and speed for each observation. See the header in the file for more information. 3. A "_arena.txt" file, which contains the boundaries of the open field environment needed to run the script "calculate_and_plot_open_field.ipynb" included in the code repository: https://github.com/GiocomoLab/mec-rapid-learning. 4. A "_spikes.txt" file, which contains the concatenated spikes from the head-fixed run and the open field run. This file can be loaded with the script "VR_and_OF_spikes.py" that is also included in the code repository.

The flexible bag packaging one-way degassing valve market, currently valued at $275 million in 2025, is projected to experience robust growth, driven by the increasing demand for extended shelf life and improved product quality in food and beverage, pharmaceutical, and consumer goods industries. The market's 4.4% CAGR from 2019 to 2024 suggests a continued upward trajectory, fueled by factors such as the rising adoption of modified atmosphere packaging (MAP) to enhance product freshness and reduce food waste. Growth is also spurred by advancements in valve technology, leading to more efficient degassing and improved barrier properties. While specific segment breakdowns are unavailable, we can infer that the food and beverage sector likely dominates, followed by pharmaceuticals and potentially industrial applications. Companies like Goglio S.p.A., Syntegon, and TricorBraun Flex are key players, indicating a competitive yet consolidated landscape with opportunities for both established players and innovative entrants. Potential restraints could include fluctuating raw material prices and the ongoing development of alternative packaging solutions. Looking ahead to 2033, the market is expected to benefit from sustained growth in e-commerce and the increasing demand for convenient, ready-to-eat meals. The focus on sustainable packaging will also play a significant role, influencing the adoption of valves made from recyclable and biodegradable materials. To maximize market penetration, companies will need to adapt to shifting consumer preferences, incorporating advanced features like tamper-evident seals and improving traceability systems. The market's growth will depend on consistent innovation, meeting evolving regulatory standards, and successfully addressing sustainability concerns in the packaging industry.

The Barrow Area Information Database (BAID) data collection is comprised of geospatial data for the research hubs of Barrow, Atqasuk and Ivotuk on Alaska's North Slope. Over 9600 research plots and instrument locations are included in the BAID research sites database. Updates to the project tracking database are ongoing through field mapping of new research locations and extant sampling sites dating back to the 1940s. Many ancillary data layers are also compiled to facilitate research activities and science communication. These geospatial data sets have been compiled through BAID and related NSF efforts. Geospatial data unique to this project are currently browseable via the BAID archive and include shapefiles of research information (sampling sites and instrumentation, the NOAA-CMDL clean air sector), administrative units (Barrow Environmental Observatory Science Research District plus adjacent federal lands, village districts, zoning, tax parcels, and the Ukpeagvik Inupiat Corporation boundary), infrastructure (power poles, snow fences, roads), erosion data for Elson Lagoon and imagery (declassified military imagery, air photo mosaics, IKONOS, Landsat, Quickbird, SAR and flight line indexes). Related data sets can be browsed via BAID’s web mapping tools and downloaded via the “Related links” section below. In addition, the BAID Internet Map Server (BAID-IMS) provides browse access to a number of additional layers which are available for download through catalog pages at the National Snow and Ice Data Center (NSIDC), the Alaska Geospatial Data Clearinghouse at USGS and the Alaska State Geo-Spatial Data Clearinghouse. Some layers are proprietary and are only available for browse access in BAID-IMS through special agreement. BAID provides a suite of user interfaces (Internet Map Server, Google Earth and Adobe Flex) and Open Geospatial Consortium web services for accessing the research plots and instrument locations. For more information on...

Automated Work Zone Map Feeds Integration Market Outlook

According to our latest research, the global Automated Work Zone Map Feeds Integration market size reached USD 1.29 billion in 2024, reflecting robust adoption across transportation and infrastructure sectors. The market is projected to expand at a CAGR of 13.4% during the forecast period, reaching USD 3.68 billion by 2033. This impressive growth is primarily driven by the increasing need for real-time, accurate work zone data integration, which enhances road safety, optimizes traffic management, and supports smart city initiatives worldwide.

One of the primary growth factors propelling the Automated Work Zone Map Feeds Integration market is the rising emphasis on road safety and efficient traffic flow management. Governments and transportation authorities globally are prioritizing the deployment of intelligent transportation systems (ITS) to mitigate road accidents and minimize congestion. Automated work zone map feeds offer real-time updates on construction zones, lane closures, and detours, enabling dynamic rerouting and timely alerts for drivers and fleet operators. This not only reduces the risk of accidents but also improves the overall efficiency of transportation networks. The integration of these feeds with navigation systems and traffic management platforms is becoming a standard requirement for modern infrastructure projects, further fueling market expansion.

Another significant driver is the rapid advancement in digital infrastructure and the proliferation of connected vehicles. The automotive industry's shift towards autonomous and semi-autonomous vehicles necessitates seamless integration of real-time work zone data for safe navigation. Automated work zone map feeds are essential for delivering up-to-date information to vehicle systems, ensuring compliance with temporary traffic regulations and minimizing disruptions. Additionally, the growing adoption of cloud-based and edge computing solutions allows for scalable and flexible deployment of map feed integration services. This technological evolution is enabling transportation agencies and construction companies to leverage advanced analytics, machine learning, and IoT sensors for more accurate and predictive work zone management.

A third major growth factor is the increasing focus on smart city initiatives and infrastructure modernization across developed and developing regions. Urbanization and the expansion of metropolitan areas are putting immense pressure on existing road networks, necessitating innovative solutions to manage frequent construction and maintenance activities. Automated work zone map feeds integration plays a pivotal role in supporting smart mobility ecosystems by providing actionable data to city planners, emergency responders, and public transport operators. The interoperability of these systems with other smart city platforms, such as traffic lights and public information displays, enhances overall urban mobility and safety. As a result, investments in digital mapping and intelligent transportation infrastructure are expected to surge, further driving market growth.

From a regional perspective, North America currently leads the Automated Work Zone Map Feeds Integration market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The United States, in particular, benefits from strong government mandates, advanced transportation infrastructure, and early adoption of ITS technologies. Europe is witnessing significant growth due to stringent road safety regulations and cross-border transportation initiatives, while Asia Pacific is emerging as a lucrative market driven by rapid urbanization and large-scale infrastructure development projects. Latin America and the Middle East & Africa are also showing promising potential as governments ramp up investments in smart transportation solutions to address urban mobility challenges.

Component Analysis

The Automated Work Zone Map Feeds Integration market is s

TOXMAP® is a Geographic Information System (GIS) that uses maps of the United States and Canada to help users visually explore data primarily from the EPA's Toxics Release Inventory (TRI) and Superfund Program, as well as some non-EPA datasets. TOXMAP helps users create nationwide, regional, or local area maps showing where TRI chemicals are released on-site into the air, water, and ground. It also provides facility and release details, color-codes release amounts for a single year or year range, and aggregates release data over multiple years. Maps also show locations of Superfund National Priorities List (NPL) sites, listing all chemical contaminants present at these sites. Two versions of TOXMAP are available: the classic version of TOXMAP released in 2004, and a new version of TOXMAP based on Adobe® Flash/Flex technology. The new version provides an improved map appearance and interactive capabilities and additional datasets such as EPA coal plant emissions data and U.S. commercial nuclear power plants.

Abstract The new precarization of work, flexible precarization, presents changes and significant new elements within the context of precarious work. As a historical manifestation, it has gradually been included within structural-economic and institutional-political reforms. This paper aims to propose a conceptual map of the new precarization of work. The conceptual map is a critical tool for developing a scientific investigation and links concepts, context, and theoretical influences to promote the advancement of research in the field of the object studied. Three dimensions embodied the proposed map: the context, synthesized in the rise of neoliberalism, in the hegemony of the financial sector, in productive restructuring, and in economic globalization; flexible practices, in the condition of manifestations and causalities of the social arrangements, exposed in terms of the naturalization of unemployment, economic fatalism, the emptying of the State, the sanctity of contracts, deregulation, work intensification, the capture of savoir faire , decentralization and deterritorialization of productive units, technocratic manipulations, the weakening of the unions, part-time or temporary work, outsourcing, and despecialization; and the categories, relational expressions identified as flexible capitalism, flexible business, flexibility (flexible regulation), social precarization, and the movement from formal to real subsumption. Providing a synthesized image that seeks to critically apprehend the concreteness of the real, the map can be used as a script for new research and to contribute to critiques in the field of organizational studies.

Connected Map Services Market Outlook

According to our latest research, the global connected map services market size reached USD 18.7 billion in 2024, exhibiting robust growth propelled by the increasing adoption of digital mapping technologies across various industries. The market is projected to grow at a CAGR of 13.2% from 2025 to 2033, with the total value anticipated to reach USD 54.6 billion by 2033. This surge is primarily driven by the integration of real-time data analytics, expanding use cases in navigation and asset tracking, and the proliferation of Internet of Things (IoT) devices that demand seamless geospatial intelligence.

The growth trajectory of the connected map services market is underpinned by several critical factors, chief among them being the rapid technological advancements in geospatial analytics and mapping software. The ongoing digital transformation across sectors such as automotive, logistics, and urban planning is fostering a heightened demand for real-time, accurate, and interactive mapping solutions. Organizations are increasingly leveraging connected map services to enhance operational efficiency, improve customer experiences, and support data-driven decision-making. The proliferation of smartphones and connected vehicles has further accelerated the integration of mapping services, enabling businesses and consumers alike to access location-based data instantaneously. This widespread adoption is also being facilitated by advancements in cloud computing, which allow for scalable and flexible deployment of mapping solutions without the need for extensive on-premises infrastructure.

Another significant driver fueling market expansion is the growing emphasis on smart mobility and intelligent transportation systems. Governments and private enterprises are investing heavily in digital infrastructure to support smart city initiatives, which rely extensively on connected map services for traffic management, route optimization, and emergency response coordination. The rise of autonomous vehicles and the increasing adoption of electric vehicles have also created new opportunities for advanced navigation and fleet management solutions. Moreover, the integration of artificial intelligence and machine learning algorithms into mapping platforms is enabling more sophisticated data analysis, predictive modeling, and personalized user experiences. These technological innovations are not only enhancing the accuracy and relevance of map services but are also opening up new revenue streams for service providers.

The expanding ecosystem of IoT devices and the surge in demand for location-based services are further catalyzing the growth of the connected map services market. Businesses across sectors such as retail, utilities, and public safety are utilizing connected maps to track assets, monitor supply chains, and optimize field operations. The ability to overlay real-time data from sensors, cameras, and other connected devices onto digital maps is providing organizations with unprecedented visibility into their operations. This, in turn, is driving investments in both hardware and software components of connected map services, as companies seek to enhance their competitive edge through improved spatial intelligence. The increasing availability of high-speed internet and the rollout of 5G networks are also contributing to the seamless delivery of rich, interactive mapping experiences, further accelerating market adoption.

From a regional perspective, North America currently leads the global connected map services market, accounting for the largest share of revenue in 2024. This dominance can be attributed to the presence of major technology players, robust digital infrastructure, and early adoption of advanced mapping solutions in sectors such as automotive and logistics. Europe and Asia Pacific are also witnessing significant growth, driven by government initiatives to develop smart transportation networks and the rapid expansion of e-commerce and urbanization. Emerging economies in Latin America and the Middle East & Africa are gradually catching up, with increasing investments in digital infrastructure and growing awareness of the benefits of connected map services. As these regions continue to embrace digital transformation, the global market is expected to witness sustained growth over the forecast period.

Component Analysis

The connected map services market is segmented by component into software, hard

The global one-way degassing valve market for packaging is booming, projected to reach $320 million by 2033. This comprehensive analysis explores market size, CAGR, key drivers, trends, restraints, segments (coffee, pet food, vitamins), leading companies (Goglio, Wipf, Syntegon), and regional data. Learn about growth opportunities in this dynamic industry.

The "SPD Flexibility Requirements 2024-2028 Heat Map" data table provides an indication of potential short and longer term flexibility requirements on the SPM Licence Area's network in upcoming years. This allows potential customers and flexibility service providers to interactively view the estimated overall MWh opportunity available in specific constrained areas to evaluate their eligibility for flexibility tender participation in upcoming months or years.The table gives the following information:Flexible capacity that is required per substationThe year flexibility is requiredSubstation within zone where flexibility is requiredFor additional information on column definitions, please click the Dataset schema link below.DisclaimerWhilst all reasonable care has been taken in the preparation of this data, SP Energy Networks does not accept any responsibility or liability for the accuracy or completeness of this data, and is not liable for any loss that may be attributed to the use of this data. For the avoidance of doubt, this data should not be used for safety critical purposes without the use of appropriate safety checks and services e.g. LineSearchBeforeUDig etc. Please raise any potential issues with the data which you have received via the feedback form available at the Feedback tab above (must be logged in to see this). Data TriageAs part of our commitment to enhancing the transparency, and accessibility of the data we share, we publish the results of our Data Triage process.Our Data Triage documentation includes our Risk Assessments; detailing any controls we have implemented to prevent exposure of sensitive information. Click here to access the Data Triage documentation for the Flexibility Market Prospectus dataset. To access our full suite of Data Triage documentation, visit the SP Energy Networks Data & Information.Download dataset metadata (JSON)

[From The Landmap Project: Introduction, "http://www.landmap.ac.uk/background/intro.html"]

 A joint project to provide orthorectified satellite image mosaics of Landsat,
 SPOT and ERS radar data and a high resolution Digital Elevation Model for the
 whole of the UK. These data will be in a form which can easily be merged with
 other data, such as road networks, so that any user can quickly produce a
 precise map of their area of interest.

 Predominately aimed at the UK academic and educational sectors these data and
 software are held online at the Manchester University super computer facility
 where users can either process the data remotely or download it to their local
 network.

 Please follow the links to the left for more information about the project or
 how to obtain data or access to the radar processing system at MIMAS. Please
 also refer to the MIMAS spatial-side website,
 "http://www.mimas.ac.uk/spatial/", for related remote sensing materials.

The global flexible bag packaging degassing valves market, currently valued at $275 million in 2025, is projected to experience steady growth, driven by increasing demand for extended shelf life in food and beverage products and the rising adoption of modified atmosphere packaging (MAP) techniques. The 4.4% CAGR from 2019-2033 indicates a robust expansion, largely fueled by the convenience and preservation benefits offered by degassing valves in maintaining product freshness and preventing spoilage. Growth is further supported by the ongoing shift towards sustainable packaging solutions, with manufacturers seeking valves that are easily recyclable or made from biodegradable materials. While potential restraints could include price fluctuations in raw materials and the entry of new players potentially intensifying competition, the overall market outlook remains positive due to the expanding application of flexible packaging across diverse sectors. Key players such as Goglio S.p.A., Wipf, and Syntegon are actively contributing to market growth through innovation and strategic partnerships. The regional distribution of market share likely reflects established consumer markets in North America and Europe, with significant growth potential in emerging economies driven by increasing disposable incomes and changing consumption patterns. Further segmentation within the market (e.g., by valve type, material, and application) would offer a more granular understanding of the market dynamics, enabling more precise market sizing and forecasting. Comprehensive data regarding regional splits and segment performance would provide valuable insights for strategic decision-making by both market participants and investors.

Discover the booming Modified Atmosphere Packaging (MAP) film market! Learn about its $15 billion valuation, 6% CAGR, key drivers, trends, and leading companies shaping this dynamic sector. Explore regional insights and future growth projections for MAP film in food packaging.

Discover the booming BOPA film for food market! This comprehensive analysis reveals a $2.5 billion market in 2025, projected to grow at a 6% CAGR until 2033. Explore key trends, segments (single/double-sided corona, meat, dairy, etc.), leading companies, and regional insights. Learn how sustainable packaging and increasing food demand are driving this dynamic sector.

"Pre-European Vegetation Map of Boorowa Shire and surrounds.;\r Vegetation map based on classified vegetation survey data, and modelling layers, derived from a 25 metre Digital Elevation Model, and a composite geology map derived from Department of Minerals geology data. Data derived from the following sources: Digital elevation model in integer format, 25 m grid cells, produced 1997, Land Information Centre; Catchment variables derived from DEM, using Arcview 3.2; Geology data from 1:250 K Geology Map, Department of Mineral Resources of NSW; Derived Elevation, Slope Steepness, Drainage from DEM; Combined Geology and sub-catchments within Boorowa Shire; Derivation of individual grid layers for each map unit; Compilation of individual map units, using merge request function in Arcview 3.2; Derivation of vegetation mask, using Landsat ETM band 5 to create a native forest/woodland cover map; Intersection of pre-european vegetation map with M305 native woody vegetation map to produce extant layer.;\r ;\r Method used was based on expert modelling of vegetation types, based on consultant EcoGIS's (Nic Gellie) knowledge of distribution of similar vegetation types in relation to lithology and broad landscape variables. To reduce possible error in expert models, modelling zones based on a combination of lithology classes and sub-catchments were produced from expert examination of the spread and patterns of each vegetation group. The modelling zones helped to reduce the number of vegetation groups to be modelled down to 2-3 groups;\r Careful inspection of sites within each vegetation group helped to determine the broad environmental niche of each vegetation group. A table of possible relationships between vegetation groups and environmental variables was drawn up to help with the modelling process. It was clear that the patterns of vegetation in the study area were more influenced by geochemistry of the lithology classes and topographic position in the landscape, rather than the conventional aspect and moisture relationships found in coastal higher rainfall environments. This conclusion helped to determine the development of terrain variables that could separate vegetation groups that occurred predominantly on ridges and hillslopes from those vegetation groups that occurred in valley bottoms. A neighbourhood variable, using stream pattern derived from the watershed models within Arcview, helped to distinguish hillslopes from valley bottoms.;\r ;\r The modelling process enabled a complete audit of all vegetation types mapped in the study area and allowed a transparent and flexible process of mapping to be documented. In the event that detailed inspection of the results of the model or field validation resulted in possible changes to the map, individual modelling zones could be remodelled with the new knowledge, or new site data. This approach also prevented grid layers from spreading to areas where the vegetation groups would logically not occur in. When all modelling zones had been modelled, the resultant grid layers were then compiled into a single Arcview view. The data layers were then sorted into an agreed order of precedence that enabled each grid layer to be displayed on the final vegetation map. Reclassification and merge request functions within Arcview Spatial Analyst then produced a pre-European vegetation map. The final pre-European vegetation map was then masked with an extant vegetation cover to produce an extant vegetation map.";\r ;\r VIS_ID 1626;\r ;\r ANZLIC: ANZNS0208000216