This data bundle contains raw GPS data files and resulting data using Trimble Business Center and NOAA OPUS to process the GPS data in spreadsheets with station coordinates and elevations. A map of station locations is included along with the final processing report which includes pre-processing, pre-stack time migration, and pre-stack depth migration. It also contains a readme.text file goes into further explanation.

This dataset contains raw GPS data collected by Purdue University. GPS readings were taken from various stations from June 6 to June 12. Included with the data is a readme in .pdf format with start and end times and approximate locations for each observation.

To ensure comparable spatial and temporal coverage with similar historic datasets, we flew 32 east-west-oriented uniform transects (spaced at 15' latitude [27.8-km] intervals) when possible to the 2000-m isobath (includes shelf, slope, and rise waters). At the request of BOEM, we included six focal-area surveys nested within the overall broad transect survey area. Each focal-area survey consisted of ten 25-km, parallel transect lines targeting shelf waters and spaced at 6-km intervals. This pattern (broad survey lines and Focal Area survey lines) was surveyed during each oceanographic season: summer (June-July), fall (September-October), and winter (January-February) during 2011 and 2012. Aerial survey methods follow Mason et al. (2007) with slight modifications. Specifically, we recorded all sightings of marine animals, vessels, and floating objects from twin-engine, high wing aircraft (Partenavia P-68, Aspen Helicopters, Oxnard, CA, or Commander AC-500, GoldAero, Arlington, WA) along pre-determined 150-m (75 m per side) strip transects at 60-m above sea level. Surveys were flown at 160 km h-1, and we used a Global Positioning System (GPS) unit linked to a laptop computer that allowed us to simultaneously collect coordinates (WGS-84 map datum), sea surface temperature (SST, degrees Celcius [°C]) determined via a belly-mounted pyrometer, and ocean color data via an onboard radiometer (see Remote sensing methods).We maintained the same two trained observers throughout the study. During individual surveys, observers frequently verified strip widths using hand-held clinometers. Observations generally were discontinued when glare exceeded >25% of the field-of-view or if sea state exceeded Beaufort 5 (29-38 km h-1wind speed). Observations were recorded into hand-held digital audio recorders. The third (non-dedicated) observer assisted the pilot with navigation, monitored sensor data, and maintained the onboard computer. Observations of species or individuals identified to nearest taxon included number of individuals, time, pre-coded behaviors, flight direction, and interspecies or vessel associations. Digital recordings of observations were archived and used by observers after surveys to enter data into a customized Graphical User Interface in ACCESS (Microsoft). Observation data were proofed after transcription to ensure accuracy or to resolve inconsistencies. Species observations were linked with GPS-based tracklines generated at 1 to 3 second intervals. Based on variations in the lag-time between sightings and recordings, we estimate that observations have a nominal along-trackline spatial accuracy of 222 m, based on a five-second lag at 160 km hr-1survey speed.This file geodatabase table contains the flight track data from the aerial surveys. This data includes the date and time (DATETIME), the latitude (LAT) and longitude (LON), the number of observers (NOOBS), the left and right observers initials (LObs, RObs), the sea state condition (Baeufort), the sea surface temperature (SST), the focal transect number (FocTran), the broad transect number (BroTran), the lines flown between transects (DeadTran), and a unique ID number (NewIDNum).References:Bonnel, M.L., C.E. Bowlby, and G.A. Green. 1992. Chapter 2: Pinniped Distribution and Abundance off Oregon and Washington, 1989 – 1990. In: J.J. Brueggeman (Ed.) Oregon and Washington Marine Mammal and Seabirds Surveys. Final Report, OCS Study MMS 91-0093, Pacific OCS Region, Minerals Management Service, US Department of the Interior, Los Angeles, CA. Briggs, K.T., W.M. Breck Tyler, D.B. Lewis, and D.R. Carlson. 1987. Bird Communities at Sea Off California 1975 to 1983. Studies in Avian Biology No. 11. The Cooper Ornithological Society. 74 pp.Briggs, K.T., D.H. Varoujean, W.W. Williams, R.G. Ford, M.L. Bonnel, and J.L. Casey. 1992, Chapter 3: Seabirds of the Oregon and Washington OCS, 1989 – 1990. In: J.J. Brueggeman (Ed.) Oregon and Washington Marine Mammal and Seabirds Surveys. Final Report, OCS Study MMS 91-0093, Pacific OCS Region, Minerals Management Service, US Department of the Interior, Los Angeles, CA. Green, G.A., J.J. Brueggeman, R.A. Grotefendt, and C.E. Bowlby. 1992, Chapter 1: Cetacean Distribution and Abundance off Oregon and Washington, 1989 – 1990. In: J.J. Brueggeman (Ed.) Oregon and Washington Marine Mammal and Seabirds Surveys. Final Report, OCS Study MMS 91-0093, Pacific OCS Region, Minerals Management Service, US Department of the Interior, Los Angeles, CA.

The dataset provided here is an output of the Track & Know project, shared with the scientific community. It is an anonymized dataset of private vehicles. The dataset, containing anonymous GPS traces of private vehicles, was made accessible by the data owner to the partners of the Track & Know project, for activities relevant to the project. The proprietary dataset is not accessible to the public.

228454 Global exporters importers export import shipment records of Gps with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

The dataset provided here is an output of the Track & Know project, shared with the scientific community. It is an anonymized dataset of private vehicles. The dataset, containing anonymous GPS traces of private vehicles, was made accessible by the data owner to the partners of the Track & Know project, for activities relevant to the project. The proprietary dataset is not accessible to the public. It includes vehicle engine status.

This is a 20-year long database of GPS data collected by geodetic surveys carried out over the seismically and volcanically active eastern Sicily, for a total of more than 6300 measurements. Data have been convertedi nto the international ASCII compressed RINEX standard in order to be imported and processed by any GPS analysis software. Database is provided with an explorer software for navigating into the dataset by spatial (GIS) and temporal queries.

This data set contains GPS readings over Antarctica using the Trimble Trimflite differential GPS Navigation System. The readings include latitude, longitude, track, ground speed, off-distance, Positional Dilution of Precision (PDOP), GPS height, easting, northing, and time taken. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC), with additional support from NASA Operation IceBridge.

This dataset consists of ground-based Global Navigation Satellite System (GNSS) GPS Broadcast Ephemeris Data (hourly files) from the NASA Crustal Dynamics Data Information System (CDDIS). GNSS provide autonomous geo-spatial positioning with global coverage. GNSS data sets from ground receivers at the CDDIS consist primarily of the data from the U.S. Global Positioning System (GPS) and the Russian GLObal NAvigation Satellite System (GLONASS). Since 2011, the CDDIS GNSS archive includes data from other GNSS (Europe’s Galileo, China’s Beidou, Japan’s Quasi-Zenith Satellite System/QZSS, the Indian Regional Navigation Satellite System/IRNSS, and worldwide Satellite Based Augmentation Systems/SBASs), which are similar to the U.S. GPS in terms of the satellite constellation, orbits, and signal structure. The hourly GPS broadcast ephemeris files contain one day of GPS broadcast navigation data in RINEX format from a global permanent network of ground-based receivers, one file per site. More information about these data is available on the CDDIS website at https://cddis.nasa.gov/Data_and_Derived_Products/GNSS/hourly_30second_data.html.

This dataset consists of ground-based Global Navigation Satellite System (GNSS) Observation Data (30-second sampling, daily 24 hour files) from the NASA Crustal Dynamics Data Information System (CDDIS). GNSS provide autonomous geo-spatial positioning with global coverage. GNSS data sets from ground receivers at the CDDIS consist primarily of the data from the U.S. Global Positioning System (GPS) and the Russian GLObal NAvigation Satellite System (GLONASS). Since 2011, the CDDIS GNSS archive includes data from other GNSS (Europe’s Galileo, China’s Beidou, Japan’s Quasi-Zenith Satellite System/QZSS, the Indian Regional Navigation Satellite System/IRNSS, and worldwide Satellite Based Augmentation Systems/SBASs), which are similar to the U.S. GPS in terms of the satellite constellation, orbits, and signal structure. The daily GNSS observation files (un-compacted) contain one day of GPS or multi-GNSS observation (30-second sampling) data in RINEX format from a global permanent network of ground-based receivers, one file per site. More information about these data is available on the CDDIS website at https://cddis.nasa.gov/Data_and_Derived_Products/GNSS/daily_30second_data.html.

PB_Argos.csv – One year of Argos locations. DateTime contains the date and time of the locations, QualClass contains the quality category of the Argos location, Lat contains the latitude, and Lon contains the longitude.

PB_GPS.csv – One year of daily GPS locations. DateTime contains the date and time of the locations, Lat contains the latitude, and Lon contains the longitude.

2070 Global import shipment records of Gps Tracking with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

GPS Data (Geolocation) Date and time • Latitude and longitude • Direction of travel (heading) • Speed

Over 3.8 million data points collected More than half of all vehicles monitored are urban-based, light-duty vehicles 50% Light-duty commercial vehicle 30% Heavy-duty commercial vehicle 15% Medium-duty commercial vehicle

Leverage the most reliable and compliant global mobility and foot traffic dataset on the market. Veraset Movement (Mobile Device GPS Mobility Data) offers unparalleled real-time insights into footfall traffic patterns globally.

Covering 200+ countries, Veraset's Mobile Location Data draws on raw GPS data from tier-1 apps, SDKs, and aggregators of mobile devices to provide customers with accurate, up-to-the-minute information on human movement.

Ideal for ad tech, planning, retail analysis, and transportation logistics, Veraset's mobile location data helps in shaping strategy and making data-driven decisions.

Veraset Global Movement panel (mobile location) includes: - 1.8+ Billion Devices Monthly - 200 Billion Pings Monthly Device and Ping counts by Country are available upon request

Common Use Cases of Veraset's Mobile Location Data: - Advertising - Ad Placement, Attribution, and Segmentation - Audience Creation/Building - Dynamic Ad Targeting - Infrastructure Plans - Route Optimization - Public Transit Optimization - Credit Card Loyalty - Competitive Analysis - Risk assessment, Underwriting, and Policy Personalization - Enrichment of Existing Datasets - Trade Area Analysis - Predictive Analytics and Trend Forecasting

Please visit: https://www.veraset.com/docs/movement for more information and schemas

GPS Monument Data features define survey information. These features are compiled from locations designated by the City of Edmond for accurate survey reference points. The monument data for the City of Edmond was originally produced by a highly accurate survey network of points throughout the City in 1995 and 1996. The goal of these GPS Monument Specifications is to maintain a high accuracy coordinate network for the City of Edmond. The monuments are used to maintain a high accuracy coordinate network in the City of Edmond. The GPS monument shall be constructed and set according to the City of Edmond GPS Monument Construction Standard. Every monument shall have a City of Edmond provided bronze marker stamped with a unique station number. Every effort should be made to place monuments in positions of extreme protection. Also locations that are accessible, safe and "GPSable" will be sought. Input from the City of Edmond is required before finalizing the position of GPS monuments. Following acceptance of monument construction, the center point of the monument shall be surveyed by a professional land surveyor registered with the State of Oklahoma for professional survey services to determine the actual positional coordinates of the monument. Coordinate data will be in NAD-83 format insuring compatibility with the new Oklahoma High Accuracy Reference Network. Elevation datum will be Mean Sea Level to insure accurate reference to local existent control, existing City of Edmond GPS monumentation and United States Geological Survey (USGS) benchmark data. Coordinates will be recorded in both Latitude and Longitude (degrees, minutes, seconds to the 4 significant digit) and State Plane US. Survey Feet. The minimum positional accuracy of GPS Monuments will be within 2cm. The accuracy of the GPS monument will be checked by the City of Edmond within one month of the monument being placed and surveyed.The City of Edmond makes every effort to produce and publish the most accurate information possible. While we are constantly updating our database and services, we cannot guarantee 100 percent accuracy and disclaim any responsibility for the accuracy of this data.

6038 Global import shipment records of Gps Tracker with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

The GPS stations, including HKLT, HKNP, HKOH, HKSC, and HKWS from Hong Kong SatRef network stations.Time duration is 16 - 26 August 2017

The GNSS (Global Navigation Satellite System), or satellite positioning system, includes all satellite navigation systems. It allows you to know your location, anywhere in the country. Theoretical GNSS specifications estimate the accuracy of the position obtained from a receiver to be approximately 15 meters in planimetry and 25 meters in altimetry. By combining the data with that of another receiver placed on a known geodesic point, the accuracy of the obtained position can vary from a few centimeters to a few meters, depending on the type of receiver used. In order to increase accuracy, the Government of Quebec records data continuously through a network of 18 GNSS stations. These stations are located on geodetic points that are free of any obstacles and capture data from the GPS and GLONASS constellations. Some of these stations receive signals from the Galileo constellation. This data is available in the standard exchange format*Receiver Independent Exchange Format* (RINEX), version 2.11. This format is recognized by the majority of GNSS data processing software. The data is accessible on the _ ftp server_) of the MRNF or using the _ Interactive Map_) of the geodetic network. It should be noted that only data from the last 366 days is kept. The structure of the directories and files on the _ ftp server_) as well as the coordinates of the stations are presented in the document _ GNSS sensor stations_. # #État GNSS stations## You can consult the status of the stations in the document _ Status of GNSS stations_. You will be notified if a station is in service, out of service, or if equipment maintenance is planned. # #GNSS in real time by cell phone The government also offers GNSS data by cellular telephone, which allows centimetric positioning work to be carried out in real time. Users of georeferenced data can thus, with a single multi-frequency GNSS receiver equipped with a modem by cellular telephone, identify or implement any physical detail with an accuracy of a few centimeters in the NAD 83 reference system (SCRS) (period 1997.0). The signal that contains this data is available to everyone. The range depends on telephone coverage, ionospheric conditions and especially on the instruments used. For more information on using GNSS in real time, see document _ Guidelines for GNSS RTK/RTN Surveys in Canada_. # #Détails techniques The transmission of GNSS data as well as the station's NAD 83 (SCRS) coordinates (period 1997.0) is transmitted by cellular telephony from an IP address on the Internet. Each station transmits its data in one of the following two formats: CMR+ or RTCM V3.2. The document _ GNSS capture stations_) gives for each city the IP address of the CMR+ or RTCM V3.2 formats as well as the antenna model. It should be noted that the data is not broadcast according to the*Networked Transport of RTCM protocol via Internet Protocol* (NTRIP). This third party metadata element was translated using an automated translation tool (Amazon Translate).

NGO Kotkaklubi (Eagle Club) and 5D Vision Ltd have developed an online portal birdmap.5dvision.ee, to visualize GPS data of migratory birds. Current dataset serves as a copy of source data for this visualization. The portal operates since 2006. Birds of 12 different species have been monitored, total number of individuals has been more than 160. Currently over 850 thousand occurrences (GPS fixes) are stored in the database. The data is managed via web-based backend that enables different methods of importing gps data (Movebank, manual upload for different receiver data formats). As the dataset covers long period of monitoring different species, various types of GPS transmitters have been used. Illustrated data about species and individuals can also be added. To enable publishing of the data to GBIF, synchronization to PlutoF biological data management platform was developed. The aim of the Birdmap portal is to increase awareness, international communication about nature and its protection by combining the possibilities and advancements of modern technology with this attractive natural phenomenon as well as providing researches and decision-makers with visualized spatial data for using in environmental analysis of possible influence of large-scale infrastructure projects. (Due to legal reasons exact location data of species with highest protection category in Estonia, belonging to Estonian territory, are not disclosed in this dataset and are available on request.)

Raw GPS and ship motion data collected during the Antarctic Circumnavigation Expedition 2016/2017.

Waves in the Southern Ocean are the biggest on the planet. They exert extreme stresses on the coastline of the Sub-Antarctic Islands, which affects coastal morphology and the delicate natural environment that the coastline offers. In Antarctic waters, the sea ice cover reflects a large proportion of the wave energy, creating a complicated sea state close to the ice edge. The remaining proportion of the wave energy penetrates deep into the ice-covered ocean and breaks the ice into relatively small floes. Then, the waves herd the floes and cause them to collide and raft.

There is a lack of field data in the Sub-Antarctic and Antarctic Oceans. Thus, wave models are not well calibrated and perform poorly in these regions. Uncertainties relate to the difficulties to model the strong interactions between waves and currents (the Antarctic Circumpolar and tidal currents) and between waves and ice (reflected waves modify the incident field and ice floes affect transmission into the ice-covered ocean). Drawbacks in wave modelling undermine our understanding and ability to protect this delicate ocean and coastal environment.

By installing a Wave and Surface Current Monitoring System (WaMoS II, a marine X-Band radar) on the research vessel Akademic Thresnikov and using the meteo-station and GPS on-board, this project has produced a large database of winds, waves and surface currents. Dara were collected during the Antarctic Circmumnavigaion Expedition, which took place from Dec. 2016 to Mar. 2017. The instrumentation operated in any weather and visibility conditions, and at night, monitoring the ocean continuously over the entire Circumnavigation.

Records can support

1. the assessment of metocean conditions in the Southern Oceans; and

2. calibration and validation of wave and global circulation models.

Data - AAS_4434_ACE_GPS contains basic metereological conditions acquired form the ship’s meteo-station, gepgraphical coordinates (latitude, longitude and altitude) from the ship’s GPS and ship motion data from the ship’s Inertial Measurement Unit (IMU). These data are stored as time series with a sampling frequency of 1Hz.