The "SPD DG Connections Network Info" data table provides network capacity information, network reinforcement requirements and estimated connection dates, based on generation and storage resources that are connected, or accepted to connect to the SP Energy Network's SP Distribution (SPD) network. The table gives the following information:Total GSP capacityRemaining import and export capacity per GSPFault level headroom available per GSPReinforcement costs and connection dates For 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 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 SPD DG Connections Network Info dataset. To access our full suite of Data Triage documentation, visit the SP Energy Networks Data & Information.Download dataset metadata (JSON)
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Licensed under: Creative Commons Attribution 4.0
Responding to a 2024 survey, data center industry professionals in the United States cited a lack of capacity as a key challenge faced by utilities when connecting data centers to the grid.
Are not shown at scales smaller than 1:2,400. In some cases even at 1:100 scale, meter symbols will overlap one another. This is partly due to automated methods for creating meter features at the ends of laterals, particularly based on automated methods for creating laterals off of mains. Ideally meter features are located as precisely as possible relative to their real-world locations—in practice this is expensive without using GPS, which doesn’t deal with the lateral locations. In this map, meters, are not the focus and therefore are not labeled—in a meter management map labels would be necessary.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This dataset contains information about intermodal rail connections in Germany and consists of 2 CSV files, which are also combined and available in 1 Excel file with 2 tabs. The data in the file "intermodal_railconnections_2022" describes the following features: (a) stations and terminals along the connection, including the starting point, endpoint, and if applicable, sometimes a stopover, (b) NUTS classification at NUTS0 to NUTS3 levels for all connections, and (c) operational characteristics, including the operating rail operator(s) and the main rail carrier. The data represents a snapshot from 2022. The file "intermodal_rail_terminals_2022" provides information about the rail terminals in Germany that are served by intermodal rail connections in the data. This includes (a) geographical information classified at NUTS0 to NUTS3 levels, (b) information about the owner and/or operator, (c) infrastructure characteristics, and (d) operational characteristics. All information was obtained through public online research. The research will be presented at the BVL International Scientific Symposium in Dresden on June 20, 2023.
A survey conducted in January 2023 shows that ** percent of the respondents saw no improvement of data connection when switching their mobile network from ** and ** to **. While ***** percent of respondents declared that the ** network quality was even slower in comparison to their previous mobile services.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States Res. Fixed Connections: 200Kbps: No. of HH: Montana data was reported at 337.000 Number th in Dec 2017. This records an increase from the previous number of 329.000 Number th for Jun 2017. United States Res. Fixed Connections: 200Kbps: No. of HH: Montana data is updated semiannually, averaging 248.000 Number th from Dec 2000 (Median) to Dec 2017, with 34 observations. The data reached an all-time high of 850.000 Number th in Dec 2014 and a record low of 7.000 Number th in Dec 2000. United States Res. Fixed Connections: 200Kbps: No. of HH: Montana data remains active status in CEIC and is reported by Federal Communications Commission. The data is categorized under Global Database’s United States – Table US.TB019: Residential Fixed Connections.
Community Connections Program: 100 Gigabit Speed (Google Fiber) Public Facilities administered through the City's Office of Telecom & Regulatory Affairs (TARA) and Google Fiber.
Green Connections aims to increase access to parks, open spaces, and the waterfront by envisioning a network of green connectors -- city streets that will be upgraded incrementally over the next 20 years to make it safer and more pleasant to travel to parks by walking, biking, and other forms of active transportation. The dataset is a zipped GIS shapefile of the Green Connections Network which is shown in this map: http://www.sf-planning.org/ftp/files/Citywide/green_connections/GC_Final_Network_Map_03-2014.pdf. Further information can be found on the Green Connections website: http://greenconnections.sfplanning.org
https://www.portmoody.ca/opendatatouhttps://www.portmoody.ca/opendatatou
Summary: Water Service Connection Utility Assets and DetailsDisclaimer: The User acknowledges and agrees that the Data is provided by the City to the User for the User's convenience and reference, and that the City makes no guarantees, representations or warranties, whether express or implied, as to the Data or as to any results to be or intended to be achieved from use of the Data, including without limitation guarantees, representations or warranties as to the accuracy, quality or completeness of the Data, merchantability or fitness for use for any particular purpose, and the User hereby waives all guarantees, representations and warranties in respect of the Data, whether express, implied by statute or otherwise. The User hereby releases The City from, and hereby indemnifies and holds harmless The City from and against, any liability, obligation, costs (including without limitation legal costs), expenses, claims, actions, proceedings, damages and penalties to the User or any other person or legal entity resulting from or related to the use, disclosure or reproduction of or reliance on the Data.
The "Market Segment Data by Volume" provides information on the volume of accepted applications made to SPD and SPM over the ED1 and ED2 period. The table gives the following information:Volume of accepted applications across the SPD Licence area, aggregated by Ofgem Metered Market Segments.Volume of accepted applications across the SPM Licence area, aggregated by Ofgem Metered Market Segments.Volume of accepted applications across both Licence areas, aggregated by geographical area.For additional information on column definitions, please click on 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 Market Segment by Volume dataset.To access our full suite of Data Triage documentation, visit the SP Energy Networks Data & Information.Download dataset metadata (JSON)
Around two-thirds of mobile data connections in Europe were 4G in 2024, while ** percent were 5G. The share of 4G connections is expected to decrease over the coming years, with ** percent of connections forecast to be 5G by 2030.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This data set will include total services connections count for wastewater services by customer class and zip code.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Number of Network Connection Requests completed, by municipality; Semiannual.This dataset contains information about new network connections, power increases, public lighting connections, network modifications, self-consumption connections, among others.1. The information made available by E-REDES constitutes an approximation to the values taken from the system and is based on the moment in which it is collected. Given that the connection points, the electricity distribution network, and the consumption and production values themselves are naturally very dynamic, it is safeguarded that the information made available may be subject to subsequent changes and updates, with the exception of any omissions and/or occasional inaccuracies of location that the information may contain.2. In this way, E-REDES is not liable to third parties, namely, partners, service providers, contractors, users and customers, for damages that may arise as a result, direct or indirect, of the use of this Information, in particular when carrying out interventions, calculations and/or estimates, without confirming the accuracy and updating of the data, whereby it is duly noted that the consultation of this information does not affect the duty to promote a direct consultation with E-REDES in order to obtain updated information.The data provided by the E-REDES Open Data Portal is covered by open licenses (CC BY 4.0). There are no restrictions on access, under the commitment that data users cite the publisher. Therefore, we suggest that you cite the Open Data E-REDES Portal as:E-REDES – Distribuição de Eletricidade, “E-REDES Open Data Portal”. Accessed in “Data”. [Online] Available at https://e-redes.opendatasoft.com/pages/homepage/If you share on social media, please add #PortalOpenData_E_REDES
https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy
The global Circular Data Connector market size is expected to grow significantly, from an estimated USD 2.5 billion in 2023 to approximately USD 4.7 billion by 2032, at a CAGR of 7.5%. This growth is driven by the increasing demand for reliable and robust connectivity solutions across various industries. Factors contributing to this upward trajectory include technological advancements, expanding applications across diverse sectors, and the rising need for enhanced data transfer capabilities.
A significant growth factor for the Circular Data Connector market is the surge in demand across the automotive sector. With the automotive industry increasingly integrating advanced electronic systems and sensors into vehicles, the necessity for reliable and efficient data connections has become paramount. Circular data connectors, known for their durability and secure connections, are ideal for automotive applications where space constraints and harsh environmental conditions are common. This trend is further accelerated by the growing adoption of electric and autonomous vehicles, which require sophisticated data communication systems to function effectively.
Another key driver is the expansion of the industrial automation sector. The Fourth Industrial Revolution, or Industry 4.0, emphasizes the integration of smart technologies into manufacturing processes. Circular data connectors are critical in ensuring seamless communication between various automated systems and devices. They provide robust and reliable connections essential for the smooth operation of machinery and equipment in industrial settings. As industries continue to adopt automation to enhance efficiency and productivity, the demand for circular data connectors is expected to rise substantially.
The aerospace and defense sectors are also contributing to the market's growth. In these industries, the reliability and robustness of data connectors are crucial for mission-critical applications. Circular data connectors are favored for their ability to withstand extreme conditions, including high temperatures, vibrations, and exposure to harsh environments. As defense budgets increase globally and space exploration initiatives expand, the demand for high-performance circular data connectors is anticipated to grow, further propelling the market.
The integration of Auto Internal Connector technology is becoming increasingly relevant in the Circular Data Connector market. These connectors are designed to streamline internal connections within complex electronic systems, offering enhanced reliability and efficiency. As industries such as automotive and aerospace continue to evolve, the demand for connectors that can seamlessly integrate with internal systems is on the rise. Auto Internal Connectors provide the necessary robustness and compact design, making them ideal for applications where space is limited and performance cannot be compromised. Their ability to facilitate efficient data transfer within intricate systems is driving their adoption across various sectors, contributing to the overall growth of the Circular Data Connector market.
Regionally, the Asia Pacific region is expected to witness the highest growth in the Circular Data Connector market. This can be attributed to the region's rapid industrialization, burgeoning automotive industry, and significant investments in infrastructure development. Countries like China, Japan, and India are leading contributors to this growth, driven by their strong manufacturing bases and increasing adoption of advanced technologies. North America and Europe are also substantial markets due to their well-established industries and continuous technological advancements.
In the Circular Data Connector market, various types of connectors are utilized, with each offering unique features and benefits tailored to specific applications. Circular Push-Pull Connectors, for instance, are known for their user-friendly design, allowing for quick and secure connections. These connectors are widely used in medical devices and instrumentation where ease of use and reliability are critical. Their popularity is attributed to the push-pull mechanism, which ensures a secure connection with minimal effort, making them ideal for frequent connect and disconnect applications.
Circular Bayonet Connectors are another key segment in this market. These connectors are reno
https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy
According to Cognitive Market Research, the global fixed data connectivity market size will be USD 100251.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 10.80% from 2024 to 2031.
North America held the major market share for more than 40% of the global revenue with a market size of USD 40100.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 9.0% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 30075.36 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 23057.78 million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.8% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 5012.56 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.2% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 2005.02 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.5% from 2024 to 2031.
The wireless type category is the fastest growing segment of the fixed data connectivity industry
Market Dynamics of Fixed Data Connectivity Market
Key Drivers for Fixed Data Connectivity Market
Growing Need for Reliable Fixed Data Connectivity to Boost Market Growth
The fixed data connectivity market is driven by the increasing demand for reliable and high-speed internet, particularly in businesses and urban areas. As digital transformation accelerates, industries rely on seamless data transfer for cloud services, remote work, and IoT solutions. Fixed data connections, such as fiber optics, offer consistent, low-latency internet crucial for operational efficiency and competitiveness. The surge in online services, video conferencing, and e-commerce further fuels this need, making fixed data connectivity essential for ensuring stability, security, and optimal performance in the digital age.
Advancements in Wireless Connectivity to Drive Market Growth
The fixed data connectivity market is driven by the demand for reliable, high-speed internet for businesses and homes. Traditional fixed-line solutions like fiber optics provide consistent, secure connections, which are essential for cloud services, video conferencing, and IoT applications. However, advancements in wireless connectivity, such as 5G, are reshaping the landscape, offering greater flexibility, mobility, and faster deployment. These wireless innovations complement fixed networks, enhancing overall connectivity, especially in underserved or remote areas, driving the market towards hybrid solutions combining both fixed and wireless technologies.
Restraint Factor for the Fixed Data Connectivity Market
High Initial Infrastructure Costs will Limit Market Growth
The fixed data connectivity market faces a key restraint in the form of high initial infrastructure costs. Establishing a reliable and extensive network requires significant investments in fiber optic cables, equipment, and labor. These high upfront costs deter smaller companies and new entrants from competing, slowing market expansion. Additionally, infrastructure maintenance and upgrades add to ongoing expenses, making it challenging for providers to offer affordable services while maintaining profitability. This financial barrier particularly impacts rural or less-developed regions, further limiting market growth in underserved areas.
Impact of Covid-19 on the Fixed Data Connectivity Market
The fixed data connectivity market experienced notable growth due to increased demand for remote work, virtual learning, and online services during the COVID-19 pandemic. However, the pandemic also led to supply chain disruptions, delaying infrastructure projects and the deployment of new connectivity services. A significant restraint is the high cost of installation and maintenance, especially in rural and underserved regions, which hampers widespread adoption. Additionally, regulatory challenges and limited access to affordable high-speed broadband further slow the market's expansion, particularly in developing areas. Introduction of the Fixed Data Connectivity Market
Fixed data connectivity refers to a stable, wired internet connection provided through cables or fiber-optic networks, offering consistent...
This data collection includes connection lines from gullies and houses to the main sewer, as well as the geometry of the sewer strands and manholes of the main sewer. The data related to connections can also be retrieved using a web feature service: https://data.riox.nu/geoserver/Eindhoven/wfs
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This U.S. Geological Survey data release provides the data and citations for selected tables and figures in “Agriculture-A river runs through it-The connections between agriculture and water quality”. This Circular is based on the National Water-Quality Assessment Project’s study of Agricultural Chemicals: Sources, Behavior, and Transport. This study focused on the connections between agriculture and water quality by examining multiple components of the hydrological system within agricultural areas to improve the understanding of how agricultural chemicals are transported into and through streams and groundwater. These data support the following publication: Capel, P.D., McCarthy, K.A., Coupe, R.H., Grey, K.M., Amenumey, S.E., Baker, N.T., and Johnson, R.S., 2018, Agriculture-A river runs through it-The connections between agriculture and water quality: U.S. Geological Survey Circular 1433, 201 p., https://doi.org/10.3133/cir1433.
This data table provides the detailed data quality assessment scores for the SPD DG Connections Network Info dataset. The quality assessment was carried out on the 31st of March. At SPEN, we are dedicated to sharing high-quality data with our stakeholders and being transparent about its' quality. This is why we openly share the results of our data quality assessments. We collaborate closely with Data Owners to address any identified issues and enhance our overall data quality. To demonstrate our progress we conduct, at a minimum, bi-annual assessments of our data quality - for datasets that are refresehed more frequently than this, please note that the quality assessment may be based on an earlier version of the dataset. To learn more about our approach to how we assess data quality, visit Data Quality - SP Energy Networks. We welcome feedback and questions from our stakeholders regarding this process. Our Open Data Team is available to answer any enquiries or receive feedback on the assessments. You can contact them via our Open Data mailbox at opendata@spenergynetworks.co.uk.The first phase of our comprehensive data quality assessment measures the quality of our datasets across three dimensions. Please refer to the data table schema for the definitions of these dimensions. We are now in the process of expanding our quality assessments to include additional dimensions to provide a more comprehensive evaluation and will update the data tables with the results when available.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States Residential Fixed Connections: No. of HH: Alaska data was reported at 253.000 Person th in Dec 2017. This records an increase from the previous number of 250.000 Person th for Jun 2017. United States Residential Fixed Connections: No. of HH: Alaska data is updated semiannually, averaging 252.000 Person th from Dec 2008 (Median) to Dec 2017, with 19 observations. The data reached an all-time high of 269.000 Person th in Dec 2013 and a record low of 248.000 Person th in Jun 2009. United States Residential Fixed Connections: No. of HH: Alaska data remains active status in CEIC and is reported by Federal Communications Commission. The data is categorized under Global Database’s United States – Table US.TB019: Residential Fixed Connections.
The "SPD DG Connections Network Info" data table provides network capacity information, network reinforcement requirements and estimated connection dates, based on generation and storage resources that are connected, or accepted to connect to the SP Energy Network's SP Distribution (SPD) network. The table gives the following information:Total GSP capacityRemaining import and export capacity per GSPFault level headroom available per GSPReinforcement costs and connection dates For 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 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 SPD DG Connections Network Info dataset. To access our full suite of Data Triage documentation, visit the SP Energy Networks Data & Information.Download dataset metadata (JSON)