Every day, the Site Scanning program runs a scanning engine to dynamically pull down lists of domains from various sources and then scan them with a collection of scan plugins to gather data on them. The resulting data that populates this API then can be seen as having two main utilities: Providing a fairly comprehensive dataset of US federal government websites. Providing various information and analysis about each of these websites. In addition to querying the data via API, you can also download it directly as a CSV or JSON file.

Chateau de la Colaissière

Civil Air Patrol (CAP) imagery service, collected during 2024.

Civil Air Patrol (CAP) imagery service, collected during 2024.

An Open Context "predicates" dataset item. Open Context publishes structured data as granular, URL identified Web resources. This "Variables" record is part of the "Northern Highland Archaeofaunas of Ecuador" data publication.

An Open Context "predicates" dataset item. Open Context publishes structured data as granular, URL identified Web resources. This "Variables" record is part of the "Northern Highland Archaeofaunas of Ecuador" data publication.

Civil Air Patrol (CAP) imagery service, collected during 2024.

This dataset contains air temperature, relative humidity, precipitation, solar radiation, wind speed, soil temperature, and soil moisture data from the Soil Climate Analysis Network (SCAN) site 2026, "Walnut Gulch #1," located in Cochise County, Arizona. The dataset links to a National Resources Conservation Service data request form, from which available data can be queried. The data collection site is at an elevation of 4500 feet; data has been continuously collected there since 1999-03-19. Resources in this dataset:Resource Title: GeoData catalog record. File Name: Web Page, url: https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/WalnutGulch1_eaa_2015_February_23_023

description: The SCAN data retrieval tools provides an interactive process to identify and retrieve data from individual SCAN sites. The user does not need to know the ID for the site but must know either it's general location or the name of the site; abstract: The SCAN data retrieval tools provides an interactive process to identify and retrieve data from individual SCAN sites. The user does not need to know the ID for the site but must know either it's general location or the name of the site

This dataset captures primary rupture features along a ~200m long stretch of the 4 April 2010 M 7.2 El Mayor-Cucapah earthquake rupture in northern Baja California, Mexico. This dataset covers in higher resolution sections of the rupture captured by the El Mayor-Cucapah Earthquake (4 April 2010) Rupture Lidar Scan. The scans were collected along the northern Borrego fault over a period of 4 days beginning 16 April 2010, 12 days following the earthquake. This particular dataset covers a section of the rupture across a raised alluvial fan surface where displacements are relatively concentrated along a single fault, with some localized antithetic normal and reverse slip. Depending on how the data is processed and visualized, cm- to m-scale fault scarps, fault free-face striations, displacements defined by offset geomorphic features and cm-scale alluvial fan textures are all visible. Vegetation classification was performed manually in an immersive 3D virtual reality CAVE. This dataset includes intensity-scaled point-coloring. Surveyors: Peter Gold and Austin Elliott, UC Davis

This data is obtained daily by crawling the Alexa Top 1 Million sites and will soon include the Cisco Umbrella Top 1 Million. It includes data on the presence and configuration of various HTTP Response Headers, details on the TLS configuration, certificates, protocol, cipher and keys used and much more. These crawls were originally conducted every 6 months and the data published on my blog but I'm now crawling daily and making the data available to the wider community for further analysis. ; mail@scotthelme.co.uk

An Open Context "predicates" dataset item. Open Context publishes structured data as granular, URL identified Web resources. This "Variables" record is part of the "Northern Highland Archaeofaunas of Ecuador" data publication.

X-ray computed tomography (CT) is a promising tool that yields data useful for understanding the fine-scale density structure of partly lithified and tectonically deformed sediments. We conducted 21 CT scans of ODP Leg 131 sediments, including whole-round cores and thin-section chips, obtained from the toe of the Nankai accretionary prism. The samples range from highly deformed pieces from the frontal thrust and décollement to homogeneous and essentially undeformed sediments above the frontal thrust and beneath the décollement. In the CT images, kink-like deformation bands and faults are recognized as obvious bright seams, bands, or stripes with relatively high linear attenuation coefficients. The differences in linear attenuation coefficients relative to the matrix range from 0.021 cm2/g (kink-like deformation band) to 0.038 cm2/g (fault). These data suggest a 0.10 g/cm3 to 0.18 g/cm3 increase in bulk density within the deformation structures, and they appear to be 13% and 33% more compacted than the nondeformed matrix, respectively. In contrast to the samples from the frontal thrust zone, CT images of the décollement sample exhibit relatively homogeneous textures. The attenuation coefficient of the sample of the décollement indicates bulk density and porosity values of 2.45 g/cm**3 and 18%, respectively. The sample, hence, is approximately 50% more compacted than the sediment outside the décollement zone.

The TSM study areas were the USDA-defined Great Valley (GV) and Mojave Desert (MD) ecoregions, truncated to California state boundaries. A grid of hexagons adapted from the USDA Forest Inventory and Analysis program, each having an approximate radius of 2,600 meters, was used as the sampling frame. Initially, a spatially-balanced, stratified random sampling approach was used to identify hexagons to be included in the study. Vegetation maps from a variety of sources were used to calculate the total cover of key lifeforms within each ecoregion. These lifeforms were determined based not only on distinct categories of vegetation, but also on habitats or features known or thought to be important to wildlife. A spatially-balanced random sample was drawn for the Mojave Desert ecoregion, while site selection in the Great Valley was more opportunistic based on the greater proportion of private land ownership.To select discrete survey locations within the hexagons, a finer-scale grid of approximately 2,400 points spaced 100 meters apart was created within each selected hexagon; for parcels that did not encompass an entire hexagon, the 100-meter grid was limited to the area within the parcel boundary. Generally, two survey points located 1,000-2,000 meters apart were selected in each hexagon. Initial points were identified by assigning random numbers to all of the grid points in each hexagon, and then selecting the lowest numbered points that met other constraints, including stratified sampling goals and land access restrictions. On rare occasions, more than two sites were located within a given hexagon, but the preferred practice was to avoid duplication or monitoring in adjacent hexagons. Study sites were not repeated between the two years, so that the entire monitoring effort comprised unique locations.

The Full Site Scanner market is experiencing robust growth, driven by increasing demand for high-speed, accurate 3D data acquisition across various sectors. The market, valued at approximately $2.5 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several key drivers, including the rising adoption of Building Information Modeling (BIM) in construction, the expanding use of 3D scanning in surveying and mapping for infrastructure development and precision agriculture, and the increasing need for detailed site documentation in accident investigations and forensic applications. The market is segmented by scanning speed (above and below 28,000 points per second) and application (surveying and mapping, project documentation, panoramic scanning). Higher-speed scanners dominate the market due to their efficiency in large-scale projects. While technological advancements and decreasing hardware costs are pushing market expansion, challenges such as the high initial investment cost for scanners and the need for specialized expertise in data processing might restrain market growth to some extent. The regional distribution of the Full Site Scanner market shows strong performance across North America and Europe, driven by established infrastructure and higher adoption rates of advanced technologies. Asia-Pacific is anticipated to witness significant growth in the coming years, fueled by rapid urbanization and infrastructure development in countries like China and India. However, the varying regulatory landscapes and infrastructure development in different regions will influence market penetration. Key players like Hexagon AB, Trimble Navigation, Topcon Positioning Systems, Teledyne Optech, and Carl Zeiss SMT are actively engaged in product innovation and strategic partnerships to solidify their market positions. The competitive landscape is characterized by ongoing technological advancements and strategic acquisitions, further shaping market dynamics.

The U.S. Geological Survey (USGS) National Uncrewed Systems Office (NUSO) supported the USGS National Cooperative Geologic Mapping Program’s Geoheritage Sites of the Nation Project in July of 2024 with the collection of UAS-based high-resolution imagery of the Marsh-Felch Quarry site at the Bureau of Land Management (BLM) Garden Park Fossil Area. One of the most complete dinosaur skeletons ever unearthed was found here. These discoveries around present-day Garden Park Fossil Area sparked the “Bone Wars” of the late 1800s and inspired the selection of Colorado's state fossil, the Stegosaurus. Three-dimensional (3D) scan flights were conducted at the fossil site using a Skydio X10 UAS, in which the aircraft autonomously determined where to capture photos to achieve coverage across a volume of interest. The natural color UAS images were processed in photogrammetry software to generate a 3D model of this fossil site for inclusion in the Geoheritage web application. A two-dimensional (2D) mapping flight with the Skydio X10 UAS flown at 300 feet above ground level was also conducted to capture the topography of the surrounding area. This portion of the data release presents raw natural color images collected during the 3D scan flights over the fossil site. Over the course of three 25-minute flights, a Skydio X10 UAS with an integrated VT300-L Wide angle sensor scanned a 2,863 square meter area and captured 2,753 natural color red, green, blue (RGB) photos to achieve 80% overlap and 70% sidelap. The images in .JPG format are provided here in zip files to facilitate bulk download. Structure-from-motion 3D models were generated by processing these 3D scan images in photogrammetry software. These 3D models are provided here as binary glTF files (.GLB), an open format for online viewing. A low resolution model is provided for fast rendering in a web browser. A high resolution model is also provided to discern finer details in the site.

This dataset covers a site near the center of the 16 December 1954 M 6.8 Dixie Valley earthquake rupture in central Nevada, United States. At this site, a linear debris flow chute draining the Stillwater Range front on to a shallowly sloping alluvial fan is offset by both synthetic and antithetic fault scarps that together form an intervening graben. Vegetation classification was performed manually in an immersive 3D virtual reality CAVE. This dataset includes intensity-scaled point-coloring. Surveyor: Peter Gold

Cookie and Website Tracker Scanning Software Market size was valued at USD 1.55 Billion in 2023 and is projected to reach USD 5.75 Billion by 2030, growing at a CAGR of 15.9% during the forecast period 2024-2030.

Global Cookie and Website Tracker Scanning Software Market Drivers

The growth and development of the Cookie and Website Tracker Scanning Software Market is attributed to certain main market drivers. These factors have a big impact on how integrated gas systems are demanded and adopted in different sectors. Several of the major market forces are as follows:

Regulations and Privacy Concerns: Some international rules, including the California Consumer Privacy Act (CCPA) in the United States and the General Data Protection Regulation (GDPR) in the European Union, have been introduced as a result of growing concerns about online privacy and data protection. The need for scanning software that assists in identifying and managing cookies and website trackers may be driven by the necessity for organizations to comply with these requirements.

Knowledge of the Consumer: Growing consumer awareness of data privacy and online tracking issues can encourage companies to invest in solutions that meet customer expectations and improve transparency. The demand for software that offers visibility and control over cookies and trackers may rise as a result of this awareness.

Corporate Observance: Corporate governance and compliance are becoming more and more important to businesses. Companies that want to comply with data privacy laws and regulations may install scanning software to keep an eye on and control the use of cookies and trackers on their websites.

Increasing Amount of Websites and Online Communities The sheer number of websites and online services has expanded along with the ongoing expansion of digital platforms and online enterprises. Tools that can effectively scan and handle the tracking features found on these websites are therefore more important.

Technological Progress: Further developments in artificial intelligence and machine learning, among other areas of technology, may lead to the creation of increasingly complex scanning software. Adoption in the market may be fueled by enhanced features like automated cookie and tracker identification and analysis.

National Monuments Service - Archaeological Survey of Ireland. Published by Department of Housing, Local Government and Heritage. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).This Archaeological Survey of Ireland dataset is published from the database of the National Monuments Service Sites and Monuments Record (SMR). This dataset also can be viewed and interrogated through the online Historic Environment Viewer: https://heritagedata.maps.arcgis.com/apps/webappviewer/index.html?id=0c9eb9575b544081b0d296436d8f60f8

A Sites and Monuments Record (SMR) was issued for all counties in the State between 1984 and 1992. The SMR is a manual containing a numbered list of certain and possible monuments accompanied by 6-inch Ordnance Survey maps (at a reduced scale). The SMR formed the basis for issuing the Record of Monuments and Places (RMP) - the statutory list of recorded monuments established under Section 12 of the National Monuments (Amendment) Act 1994. The RMP was issued for each county between 1995 and 1998 in a similar format to the existing SMR. The RMP differs from the earlier lists in that, as defined in the Act, only monuments with known locations or places where there are believed to be monuments are included.

The large Archaeological Survey of Ireland archive and supporting database are managed by the National Monuments Service and the records are continually updated and supplemented as additional monuments are discovered. On the Historic Environment viewer an area around each monument has been shaded, the scale of which varies with the class of monument. This area does not define the extent of the monument, nor does it define a buffer area beyond which ground disturbance should not take place – it merely identifies an area of land within which it is expected that the monument will be located. It is not a constraint area for screening – such must be set by the relevant authority who requires screening for their own purposes. This data has been released for download as Open Data under the DPER Open Data Strategy and is licensed for re-use under the Creative Commons Attribution 4.0 International licence. http://creativecommons.org/licenses/by/4.0

Please note that the centre point of each record is not indicative of the geographic extent of the monument. The existing point centroids were digitised relative to the OSI 6-inch mapping and the move from this older IG-referenced series to the larger-scale ITM mapping will necessitate revisions. The accuracy of the derived ITM co-ordinates is limited to the OS 6-inch scale and errors may ensue should the user apply the co-ordinates to larger scale maps. Records that do not refer to 'monuments' are designated 'Redundant record' and are retained in the archive as they may relate to features that were once considered to be monuments but which on investigation proved otherwise. Redundant records may also refer to duplicate records or errors in the data structure of the Archaeological Survey of Ireland.

This dataset is provided for re-use in a number of ways and the technical options are outlined below. For a live and current view of the data, please use the web services or the data extract tool in the Historic Environment Viewer. The National Monuments Service also provide an Open Data snapshot of its national dataset in CSV as a bulk data download. Users should consult the National Monument Service website https://www.archaeology.ie/ for further information and guidance on the National Monument Act(s) and the legal significance of this dataset.

Open Data Bulk Data Downloads (version date: 23/08/2023)

The Sites and Monuments Record (SMR) is provided as a national download in Comma Separated Value (CSV) format. This format can be easily integrated into a number of software clients for re-use and analysis. The Longitude and Latitude coordinates are also provided to aid its re-use in web mapping systems, however, the ITM easting/northings coordinates should be quoted for official purposes. ERSI Shapefiles of the SMR points and SMRZone polygons are also available The SMRZones represent an area around each monument, the scale of which varies with the class of monument. This area does not define the extent of the monument, nor does it define a buffer area beyond which ground disturbance should not take place – it merely identifies an area of land within which it is expected that the monument will be located. It is not a constraint area for screening – such must be set by the relevant authority who requires screening for their own purposes.

GIS Web Service APIs (live views):

For users with access to GIS software please note that the Archaeological Survey of Ireland data is also available spatial data web services. By accessing and consuming the web service users are deemed to have accepted the Terms and Conditions. The web services are available at the URL endpoints advertised below:

SMR; https://services-eu1.arcgis.com/HyjXgkV6KGMSF3jt/arcgis/rest/services/SMROpenData/FeatureServer

SMRZone; https://services-eu1.arcgis.com/HyjXgkV6KGMSF3jt/arcgis/rest/services/SMRZoneOpenData/FeatureServer

Historic Environment Viewer - Query Tool

The "Query" tool can alternatively be used to selectively filter and download the data represented in the Historic Environment Viewer. The instructions for using this tool in the Historic Environment Viewer are detailed in the associated Help file: https://www.archaeology.ie/sites/default/files/media/pdf/HEV_UserGuide_v01.pdf...

Drone-Mounted 5G Site Survey Market Outlook

According to our latest research, the global drone-mounted 5G site survey market size reached USD 1.34 billion in 2024, reflecting the rapid adoption of advanced surveying technologies within the telecommunications sector. The market is expected to expand at a robust CAGR of 19.7% from 2025 to 2033, with the forecasted market size projected to reach USD 6.47 billion by 2033. A primary growth factor fueling this expansion is the accelerated global deployment of 5G infrastructure, which demands precise, efficient, and cost-effective site surveys to ensure optimal network performance and coverage.

The surge in demand for drone-mounted 5G site survey solutions is primarily driven by the exponential growth in 5G network rollouts worldwide. Telecom operators and network equipment manufacturers are under immense pressure to deploy 5G infrastructure rapidly, while maintaining high standards of accuracy and efficiency. Traditional surveying methods, which are labor-intensive and time-consuming, are increasingly being replaced by drone-based solutions that offer real-time data collection, high-resolution imagery, and advanced analytics. This transition is further catalyzed by the need for continuous network optimization, especially in urban environments where 5G signal propagation can be challenging due to dense building structures and complex terrains. Additionally, the integration of AI-powered analytics with drone-mounted systems is enhancing the precision of site surveys, enabling telecom companies to make data-driven decisions and reduce operational costs significantly.

Another significant growth factor is the rising adoption of automation and digitalization across the telecommunications sector. The integration of drones into site survey operations not only improves safety by minimizing the need for manual inspections at heights but also accelerates the entire deployment process. This is particularly critical as operators race to meet the burgeoning demand for ultra-fast and reliable connectivity required for emerging applications such as IoT, smart cities, autonomous vehicles, and remote healthcare. Furthermore, regulatory bodies in several regions are increasingly supporting the use of drones for commercial purposes, providing a conducive environment for market growth. The convergence of these factors is expected to sustain the upward trajectory of the drone-mounted 5G site survey market over the next decade.

The market’s expansion is also influenced by the growing complexity of 5G network architectures, which require meticulous planning and ongoing maintenance. With the proliferation of small cells, massive MIMO antennas, and beamforming technologies, network planning and optimization have become more intricate than ever before. Drone-mounted survey systems, equipped with advanced sensors and communication modules, are uniquely positioned to address these challenges by providing comprehensive, multi-dimensional data sets. This capability is particularly valuable in remote or hazardous locations where traditional survey teams face significant logistical and safety constraints. As a result, both established telecom giants and new market entrants are investing heavily in drone technologies to gain a competitive edge in the evolving 5G landscape.

Regionally, North America and Asia Pacific are emerging as the dominant markets for drone-mounted 5G site survey solutions, driven by extensive 5G investments and a strong focus on technological innovation. North America, led by the United States, benefits from the presence of major telecom operators and a favorable regulatory environment, while Asia Pacific is witnessing rapid infrastructure development in countries such as China, Japan, and South Korea. Europe is also experiencing steady growth, supported by ongoing 5G trials and government initiatives aimed at enhancing digital connectivity. Meanwhile, Latin America and the Middle East & Africa are gradually adopting drone-based survey technologies as part of their broader digital transformation agendas, although these regions currently account for a smaller share of the global market.

Component Analysis

The component segment of the drone-mounted 5G site survey market is comprised of hardware, software, and services, each playing a pivotal role in the overall ecosystem. Hardware, which includes drones, sensors, GPS modules, camera