Dataset provides data from the Iowa Department of Transportation's Intelligent Transportation System (ITS) CCTV Cameras. Data includes location of cameras, static image URL, and motion video URL where available.

Camera trap database serves as objective records of an animal’s presence at a location, and information on activity patterns (from the date and time contained in the image), behaviour, and pelage characteristics that enable individual identification (Rovero et al., 2008). Remotely-triggered cameras are used for camera trapping that automatically take images of whatever moves in front of them. It utilizes the fixed digital cameras to capture images or videos of animals in wild, with as little human interference as possible, travelling in front of the camera’s infra-red sensors (Rovero et al., 2010).

Source URL: http://www.gujinwei.org/research/camspec/db.html
Source DOI: 10.1109/WACV.2013.6475015

Camera spectral sensitivity functions relate scene radiance with captured RGB triplets. They are important for many computer vision tasks that use color information, such as multispectral imaging, and color constancy.

We create a database of 28 cameras covering a variety of types. The database contains the spectral sensitivity functions for 28 cameras, including professional DSLRs, point-and-shoot, industrial and mobile phone camera. We use a spectrometer PR655 from Photo Research Inc., a light source and monochrometer combined with an integrating sphere to do the measurement. Each measurement starts from wavelength 400nm to 720nm in an interval of 10nm. Measured Sensitivities are normalized to 1 for RGB channels seperately. The database is in the form of a text file. Each entry starts with camera name and follows by measured spectral sensitivities in red, green and blue channel.

21416 Global export shipment records of Cam,follower,bearing with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

EAC4 (ECMWF Atmospheric Composition Reanalysis 4) is the fourth generation ECMWF global reanalysis of atmospheric composition. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using a model of the atmosphere based on the laws of physics and chemistry. This principle, called data assimilation, is based on the method used by numerical weather prediction centres and air quality forecasting centres, where every so many hours (12 hours at ECMWF) a previous forecast is combined with newly available observations in an optimal way to produce a new best estimate of the state of the atmosphere, called analysis, from which an updated, improved forecast is issued. Reanalysis works in the same way to allow for the provision of a dataset spanning back more than a decade. Reanalysis does not have the constraint of issuing timely forecasts, so there is more time to collect observations, and when going further back in time, to allow for the ingestion of improved versions of the original observations, which all benefit the quality of the reanalysis product. The assimilation system is able to estimate biases between observations and to sift good-quality data from poor data. The atmosphere model allows for estimates at locations where data coverage is low or for atmospheric pollutants for which no direct observations are available. The provision of estimates at each grid point around the globe for each regular output time, over a long period, always using the same format, makes reanalysis a very convenient and popular dataset to work with. The observing system has changed drastically over time, and although the assimilation system can resolve data holes, the initially much sparser networks will lead to less accurate estimates. For this reason, EAC4 is only available from 2003 onwards. Although the analysis procedure considers chunks of data in a window of 12 hours in one go, EAC4 provides estimates every 3 hours, worldwide. This is made possible by the 4D-Var assimilation method, which takes account of the exact timing of the observations and model evolution within the assimilation window.

.CAM.IT Whois Database, discover comprehensive ownership details, registration dates, and more for .CAM.IT TLD with Whois Data Center.

Traffic camera locations as of June 5, 2015

6742 Global import shipment records of Cam with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Camera traps have become a ubiquitous tool in ecology and conservation. There were many studies based on camera trapping which required a common data management pool that represents Southeast Asia’s richest reservoirs of biodiversity and efforts for conservation. Support from BIFA6_005, species occurrence data were generated from camera trapping studies data from the published resources in 1999-2021 in Asian countries.

This is a MD iMAP hosted service layer. Find more information at http://imap.maryland.gov. This dataset provides the locations of Traffic Cameras in Maryland from the Coordinated Highways Action Response Team (CHART). The data also includes a URL to the live camera feeds. Last Updated: 03/2023 Feature Service Layer Link: https://chartimap1.sha.maryland.gov/arcgis/rest/services/CHART/Cameras/MapServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

Two digital video cameras were installed at Sand Key, Florida (FL), facing south (camera 1) and north (camera 2) along the beach. Every hour during daylight hours, the cameras collected raw video and produced snapshots and time-averaged image products. This data release includes the necessary intrinsic orientation (IO) and extrinsic orientation (EO) calibration data to utilize imagery to make quantitative measurements. The images included in this data release were collected by camera 2 (c2) from May 29, 2018, to October 16, 2022. The cameras are part of a U.S. Geological Survey (USGS) research project to study the beach and nearshore environment (https://www.usgs.gov/coastcams). USGS researchers utilize the imagery collected from these cameras to remotely sense a range of information including shoreline position, sandbar migration, wave run-up on the beach, alongshore currents, and nearshore bathymetry. This camera is part of the USGS CoastCam network, supported by the Total Water Level/Coastal Change Project under the Coastal and Marine Hazards and Resources Program (CMHRP). To learn more about this specific camera visit https://www.usgs.gov/centers/spcmsc/science/using-video-imagery-study-coastal-change-sand-key-florida.

1.46 GB, md5sum: 8870c3333e61cb27f49d5fd46c937937 QUT Research Data Respository Dataset Resource available for download

Point geometry with attributes displaying Louisiana Department of Transportation and Development traffic cameras in the Greater Baton Rouge, Louisiana area.

including aerosols

Downloadable Address Points & Road Segments data from the Countywide Address Management System (CAMS) Program. (Data Updated: Week of November 25, 2024)For detailed information, please review the contents and information available on the HUB site for the CAMS Program. https://cams-lacounty.hub.arcgis.com/

Jordan Exports of cinematographic cameras and projectors to Canada was US$865.07 Thousand during 2019, according to the United Nations COMTRADE database on international trade. Jordan Exports of cinematographic cameras and projectors to Canada - data, historical chart and statistics - was last updated on March of 2025.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

The inventory volume of digital compact cameras in the consumer electronics industry in Japan increased by 29.8 thousand units (+78.28 percent) since the previous year. This was a significant increase in the inventory quantity in this industry. Find more statistics on other topics about Japan with key insights such as sales value of flat panel display televisions, inventory quantity of flat-panel-display televisions, and production value of video cameras.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

1571 Global export shipment records of Cam with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.