The data provides a summary of the state of development practice for Geographic Information Systems (GIS) software (as of August 2017). The summary is based on grading a set of 30 GIS products using a template of 56 questions based on 13 software qualities. The products range in scope and purpose from a complete desktop GIS systems, to stand-alone tools, to programming libraries/packages.

The template used to grade the software is found in the TabularSummaries.zip file. Each quality is measured with a series of questions. For unambiguity the responses are quantified wherever possible (e.g.~yes/no answers). The goal is for measures that are visible, measurable and feasible in a short time with limited domain knowledge. Unlike a comprehensive software review, this template does not grade on functionality and features. Therefore, it is possible that a relatively featureless product can outscore a feature-rich product.

A virtual machine is used to provide an optimal testing environments for each software product. During the process of grading the 30 software products, it is much easier to create a new virtual machine to test the software on, rather than using the host operating system and file system.

The raw data obtained by measuring each software product is in SoftwareGrading-GIS.xlsx. Each line in this file corresponds to between 2 and 4 hours of measurement time by a software engineer. The results are summarized for each quality in the TabularSummaries.zip file, as a tex file and compiled pdf file.

The global Partial Discharge Testing System market is experiencing robust growth, driven by the increasing demand for reliable and efficient power grids and the rising adoption of smart grid technologies. The market is projected to reach a significant size, exhibiting a substantial Compound Annual Growth Rate (CAGR). While precise figures for market size and CAGR are not provided, based on industry trends and the prevalence of aging infrastructure requiring regular maintenance, a reasonable estimate for the 2025 market size could be around $800 million, with a CAGR of 7% projected for the forecast period 2025-2033. This growth is fueled by factors such as the expanding electricity generation and transmission infrastructure, particularly in developing economies, and stringent regulations aimed at improving grid reliability and safety. Furthermore, technological advancements leading to more compact, portable, and user-friendly partial discharge testers are boosting market adoption. Key segments driving market growth include portable partial discharge testers, owing to their ease of use and adaptability in various field applications, and applications focused on GIS (Gas Insulated Switchgear), transformers, and power cables, where timely and accurate partial discharge detection is critical for preventing costly equipment failures and potential power outages. Despite these positive trends, market expansion is somewhat restrained by the high initial investment costs associated with procuring advanced testing systems, and the relatively specialized skill set required for accurate interpretation of test results. However, increasing awareness of the long-term cost-benefits of preventative maintenance and the availability of training programs are gradually mitigating these constraints. This market presents significant opportunities for manufacturers who can innovate in areas like improved accuracy, enhanced portability, and the integration of advanced data analytics capabilities into their systems.

This dataset contains mobile wireless download speed test results and areas where the PSD (Vermont Public Service Department) challenged mobile wireless service asserted by wireless carriers.DOWNLOAD SPEED TEST RESULTSResults from download speed tests that were conducted in September-December 2018 are contained by 6 point feature-classes, each with results for a particular carrier.PSD staff employed the android smartphone application G-NetTrack to conduct download speed tests at approximately 300 meter intervals along all federal-aid highways.The point feature-classes are very detailed and more suitable when zoomed into the neighborhood scale. All point feature-classes have the same field schema, which includes these fields: timestamp: Date and time at which the data point was collected. signal_str: Signal strength (RSRP in dBm). download_s: Download speed (in Mbps). latency: The round-trip time for a request to a website, in milliseconds.DRIVE-TEST BLOCKSDrive-test blocks (Utility_DriveTest_poly_Blocks) is a polygon feature-class that is composed of 1-kilometer blocks; it has a field for each of the 6 carriers; the fields show the average download speed recorded in each block for each carrier.The fields also include a composite field (All_) that contains averages of all carriers, masking variation in coverage between individual carriers. "999" indicates no test was conducted for the carrier in that block.Drive-test blocks are generalized information and are suitable when zoomed at various scales. A BLOCK DOES NOT INDICATE SERVICE THROUGHOUT A BLOCK; use the point feature-classes for detailed data and judge accordingly.WIRELESS CHALLENGE BLOCKSWireless Challenge Blocks (Utility_DriveTest_poly_VTMFCIIChallengeBlocks) depicts the status of each block in the submission of the PSD in the FCC Mobility Fund Phase II Challenge process. It shows challenges to mobile wireless service asserted by wireless carriersA value of 0 in the Area_1 field indicates that the challenge was rejected, either because a) the block is already largely eligible, or b) because no tests below 5 Mbps were submitted.DISCLAIMERVCGI and the State of VT make no representations of any kind, including but not limited to the warranties of merchantability or fitness for a particular use, nor are any such warranties to be implied with respect to the data.

The Gas Insulated Switchgear (GIS) Test Kit market is experiencing robust growth, driven by the increasing adoption of GIS in power transmission and distribution networks globally. The rising demand for reliable and efficient power systems, coupled with stringent safety regulations, is fueling the market expansion. While precise market size data for GIS Test Kits is not explicitly provided, we can infer a substantial market value based on the broader context of the Partial Discharge (PD) Test Kit market and related equipment. Considering a conservative estimate, let's assume the GIS Test Kit segment constitutes approximately 15% of the overall PD Test Kit market. If we further posit that the overall PD Test Kit market size is $500 million in 2025 (a reasonable estimate given the scale of the broader electrical testing market), the GIS Test Kit market size would be around $75 million in 2025. With a projected Compound Annual Growth Rate (CAGR) of 7% (a conservative estimate considering technological advancements and infrastructural development), the market is poised to reach approximately $115 million by 2033. Key drivers include the increasing complexity of GIS systems necessitating sophisticated testing equipment, growing investments in renewable energy infrastructure (which often utilizes GIS), and stringent grid modernization initiatives globally. Market trends point toward increasing demand for integrated testing solutions, portable and user-friendly devices, and advanced diagnostic capabilities. Constraints may include high initial investment costs for sophisticated testing equipment and the need for specialized expertise in operating and interpreting test results. However, these challenges are likely to be offset by the long-term benefits of enhanced grid reliability and reduced downtime. Major players in the market are leveraging technological innovations and strategic partnerships to solidify their market positions.

Announcement: Project Ended on October 15, 2021After over 18 months of collaboration between hundreds of GISCorps volunteers, Esri's Disaster Response Program, Coders Against COVID, HERE Technologies, dozens of government agencies, and hundreds of testing providers, GISCorps has decided to end our COVID-19 Testing and Vaccination Sites Data Creation Project as of October 15th, 2021. Our data will remain available for use by researchers and analysts, but it should not be considered a reliable source of current testing and vaccination site location information after October 15th. We are grateful for the support we have received by so many throughout the life of this monumental undertaking. Read more about this effort https://covid-19-giscorps.hub.arcgis.com/pages/contribute-covid-19-testing-sites-data.Item details page: https://giscorps.maps.arcgis.com/home/item.html?id=d7d10caf1cec43e0985cc90fbbcf91cbThis view is the original COVID-19 Testing Locations in the United States - public dataset. A backup copy also exists: https://giscorps.maps.arcgis.com/home/item.html?id=11fe8f374c344549815a716c8472832f. The parent hosted feature service is the same. This version is symbolized by type of test (molecular, antibody, antigen, or combinations thereof).This feature layer view contains information about COVID-19 screening and testing locations. It is made available to the public using the GISCorps COVID-19 Testing Site Locator app (https://giscorps.maps.arcgis.com/apps/webappviewer/index.html?id=2ec47819f57c40598a4eaf45bf9e0d16) and on findcovidtesting.com. All information was sourced from public information shared by health departments, local governments, and healthcare providers. The data are aggregated by GISCorps volunteers in collaboration with volunteers from Coders Against COVID and should not be considered complete or authoritative. Please contact testing sites or your local health department directly for official information and testing requirements.The objective of this application is to aggregate and facilitate the public communications of local governments, health departments, and healthcare providers with regard to testing site locations. GISCorps does not share any screening or testing site location information not previously made public or provided to us by one of those entities.Data dictionary document: https://docs.google.com/document/d/1HlFmtsT3GzibixPR_QJiGqGOuia9r-exN3i5UK8c6h4/edit?usp=sharingArcade code for popups: https://docs.google.com/document/d/1PDOq-CxUX9fuC2v3N8muuuxN5mLMinWdf7fiwUt1lOM/edit?usp=sharing

This was uploaded via zip file to AGOL for testing

GISCorps quickly marshaled its members to build a nationwide map of COVID-19 testing sites.Key TakeawaysGISCorps rallies to provide quick, expert mapping help in times of crisis.Volunteers aggregate data on testing sites to create an authoritative national map.Additional map project memorializes victims and survivors of COVID-19._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

This dataset explains validation testing in a study of the Samarinda Seberang flood vulnerability map. There are two test methods, namely the Kappa accuracy test and the 3D simulation visualization test. The Kappa accuracy test tab displays a table of Kappa calculation results, and the second tab contains a 3D simulation scenario image.

The global SF6 gas decomposition product tester market is experiencing robust growth, driven by increasing concerns regarding environmental regulations and the need for reliable and efficient gas-insulated switchgear (GIS) maintenance. The market, estimated at $500 million in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, reaching approximately $850 million by 2033. This growth is fueled by the rising adoption of SF6 gas in power systems globally, particularly in high-voltage applications. The expansion of electricity grids, coupled with the stringent emission standards for greenhouse gases, is further driving the demand for advanced SF6 gas testing equipment. Key market segments include power system applications, which holds the largest market share due to widespread GIS deployment, and SF6 gas manufacturing and supply, where testers are crucial for quality control. Within the types segment, testers with ±0.5% measurement accuracy command a premium price but are gaining traction due to their superior precision and reliability. Leading market players like HV Hipot, DILO, and WIKA are investing in research and development to enhance the performance and efficiency of their products, leading to increased competition and innovation. Geographically, North America and Europe currently dominate the market due to mature power infrastructure and robust regulatory frameworks. However, significant growth opportunities are anticipated in the Asia-Pacific region, driven by rapid industrialization and infrastructure development in countries like China and India. The market faces challenges such as the high initial investment costs of sophisticated testing equipment and the availability of skilled technicians. The competitive landscape is characterized by a mix of established players and emerging regional companies. Established players focus on technological innovation, strategic partnerships, and expansion into new markets to maintain their leadership position. Regional players are leveraging their understanding of local market dynamics to capture a significant market share. Future growth is projected to be driven by continuous technological advancements such as the development of more portable and user-friendly testers, the integration of advanced analytical capabilities, and the emergence of innovative testing methodologies aimed at improving efficiency and reducing downtime. Furthermore, stricter environmental regulations and increasing awareness of the environmental impact of SF6 gas will continue to drive market demand for sophisticated testing equipment capable of accurate and timely decomposition analysis. The ongoing adoption of smart grids and the integration of renewable energy sources are also anticipated to positively impact market growth.

The global SF6 Gas Decomposition Product Tester market is experiencing robust growth, driven by the increasing demand for reliable and efficient testing solutions within the power transmission and distribution sector. Stringent environmental regulations regarding SF6 gas emissions, a potent greenhouse gas, are compelling utilities and manufacturers to adopt advanced testing methodologies to monitor gas quality and prevent leaks. This necessitates the use of accurate and reliable SF6 gas decomposition product testers to ensure the safe and efficient operation of high-voltage equipment. The market is segmented by application (power systems, SF6 gas manufacturing and supply, others) and by measurement accuracy (±0.5%, ±1%, others). The power systems segment currently dominates, fueled by the expanding global electricity grid and the growing need for preventative maintenance to minimize equipment downtime and operational risks. Technological advancements in sensor technology and data analytics are driving improvements in measurement accuracy and reporting capabilities, leading to more efficient gas management practices. North America and Europe currently hold significant market share, but rapidly developing economies in Asia-Pacific are projected to experience substantial growth in the coming years, driven by large-scale infrastructure development projects. Key players in the market, including HV Hipot, DILO, WIKA, and others, are focused on innovation and strategic partnerships to expand their market reach and offer comprehensive solutions. The competitive landscape is characterized by a mix of established players and emerging companies, leading to price competitiveness and continuous product improvement. We project a healthy Compound Annual Growth Rate (CAGR) based on the current market dynamics and technological trends. The growth trajectory is anticipated to remain positive throughout the forecast period (2025-2033), primarily driven by the increasing adoption of smart grid technologies, the expanding renewable energy sector (requiring reliable SF6 gas monitoring in hybrid grids), and stricter environmental regulations globally. While challenges remain, including the high initial investment costs associated with advanced testing equipment and the potential for skilled labor shortages in some regions, the overall market outlook for SF6 Gas Decomposition Product Testers remains optimistic. The market is poised to benefit from continued technological advancements, resulting in more sophisticated and user-friendly testing solutions that will ultimately accelerate market penetration and further drive growth.

This compilation of layers provides a comprehensive view of CWD-related activities, facilitating informed decision-making and strategic planning for wildlife management and disease prevention efforts. To date, there has not yet been any cases of CWD detected in California and surveillance data will be updated regularly. This data is associated with the following layers: Chronic Wasting Disease Sampling Stations - 2025 - CDFW ds3154, Participating Meat Processors and Taxidermists - 2025 - CDFW ds3155,Chronic Wasting Disease Sampling Stations - 2023-2024 - CDFW ds3182, Participating Meat Processors and Taxidermists - 2023-2024 - CDFW ds3188, Approved Deer Carcass Disposal Sites - CDFW ds3156.These layers include CWD Testing Sites, Participating Meat Processors and Taxidermists (MPT), Carcass Disposal Sites, and comprehensive data on CWD surveillance spanning from 1999 to 2025. This compilation of layers provides a comprehensive view of CWD-related activities, facilitating informed decision-making and strategic planning for wildlife management and disease prevention efforts. For the latest information, please visit https://wildlife.ca.gov/CWD.

A test to adjust the NHD flowline according the underlying DEM on Rolling Wood catchment, Texas

A point feature class of HIV and AIDS testing centers within Miami-Dade County.Updated: Annually The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

Announcement: Project Ended on October 15, 2021After over 18 months of collaboration between hundreds of GISCorps volunteers, Esri's Disaster Response Program, Coders Against COVID, HERE Technologies, dozens of government agencies, and hundreds of testing providers, GISCorps has decided to end our COVID-19 Testing and Vaccination Sites Data Creation Project as of October 15th, 2021. Our data will remain available for use by researchers and analysts, but it should not be considered a reliable source of current testing and vaccination site location information after October 15th. We are grateful for the support we have received by so many throughout the life of this monumental undertaking. Read more about this effort https://covid-19-giscorps.hub.arcgis.com/pages/contribute-covid-19-testing-sites-data.Item details page: https://giscorps.maps.arcgis.com/home/item.html?id=d7d10caf1cec43e0985cc90fbbcf91cbThis view is the original COVID-19 Testing Locations in the United States - public dataset. A backup copy also exists: https://giscorps.maps.arcgis.com/home/item.html?id=11fe8f374c344549815a716c8472832f. The parent hosted feature service is the same. This version is symbolized by type of test (molecular, antibody, antigen, or combinations thereof).This feature layer view contains information about COVID-19 screening and testing locations. It is made available to the public using the GISCorps COVID-19 Testing Site Locator app (https://giscorps.maps.arcgis.com/apps/webappviewer/index.html?id=2ec47819f57c40598a4eaf45bf9e0d16) and on findcovidtesting.com. All information was sourced from public information shared by health departments, local governments, and healthcare providers. The data are aggregated by GISCorps volunteers in collaboration with volunteers from Coders Against COVID and should not be considered complete or authoritative. Please contact testing sites or your local health department directly for official information and testing requirements.The objective of this application is to aggregate and facilitate the public communications of local governments, health departments, and healthcare providers with regard to testing site locations. GISCorps does not share any screening or testing site location information not previously made public or provided to us by one of those entities.Data dictionary document: https://docs.google.com/document/d/1HlFmtsT3GzibixPR_QJiGqGOuia9r-exN3i5UK8c6h4/edit?usp=sharingArcade code for popups: https://docs.google.com/document/d/1PDOq-CxUX9fuC2v3N8muuuxN5mLMinWdf7fiwUt1lOM/edit?usp=sharing

Coastlines for the Northwest Hawaiian Islands. Created by NOS National Geodetic Survey, 2001. Downloaded by Esri Hawaii staff from NOS National Geodetic Survey website, 2016. For more information, please see metadata at https://files.hawaii.gov/dbedt/op/gis/data/coastline_nwhi.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, HI 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

A feature layer view used by the public containing information about COVID-19 screening and testing locations using the GISCorps COVID-19 Testing Site Locator app (https://giscorps.maps.arcgis.com/apps/webappviewer/index.html?id=2ec47819f57c40598a4eaf45bf9e0d16). Please submit updates to testing site information via this form: https://arcg.is/10S1ibAll information is sourced from public information shared by health departments, local governments, and healthcare providers. The data are aggregated by GISCorps volunteers in collaboration with volunteers from Coders Against COVID and should not be considered authoritative. Please contact testing sites or your local health department directly for official information and testing requirements.The objective of this application is to aggregate and facilitate the public communications of local governments, health departments, and healthcare providers. GISCorps does not share any screening or testing site location information not previously made public by one of those entities.

Images created to test the variability of landscape metrics for maps with different Aggregation Index values.
Sets fig1.zip, fig2.zip and fig3.zip contain synthetic images described in Section 2 "Aggregation index" of the paper "Relationship between aggregation index and change in the values of some landscape metrics as a function of cell neighborhood choice" in publication. File names correspond to figures in this paper. Some images are original creations based on figures in: He, H.; Dezonia, B.; Mladenoff, D. An Aggregation Index (AI) to Quantify Spatial Patterns of Landscapes. Landscape Ecology 2000, 15, 591–601. https://doi.org/10.1023/A:1008102521322.
File Bosco_94fassa_10m.tiff contains a binary map representing forest coverage (value 1) in the Val di Fassa, in the eastern Italian Alps, in 1994. It has been created by image classification on a set of 1994 grayscale orthophotos. The map is in the ETRS89/UTM 32N (EPSG: 25832) datum.

100 wells of groundwater resources.

Significant (p

Data was collected from GRD-TRT-BUF-4I (Ground Truth Buffer for Idling), a realtime detection systemthat records the geolocation and idling duration of urban transit bus fleets internationally. 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.