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338 results for “gps”
Tanana River Floodplain Dissolved Organic Nitrogen (DON) Budget, GPS coordinates for Tanana River Floodplain study plots
Ammonium, Nitrate, and Amino Acid concentrations in .5M K2SO4 extracted T0 Tanana Floodplain soils Ammonium, Nitrate, and Amino Acid concentrations in .5M K2SO4 extracted T30 Tanana Floodplain soils Sodium Bicarbonate Extracted Tanana River Floodplain Soil Protein Concentrations, 2001 Plot locations for the Tanana River Floodplain DON buget study. GPS coordinates for the Tanana River Floodplain Dissolved Organic Nitrogen (DON) Budget Study plots GPS coordinates for the Tanana River Floodplain Dissolved Organic Nitrogen (DON) Budget Study plots. Readings were taken from the centre of each 30 X 30 meter plot (1DW3 is 45 X 20). The GPS unit (Garmin etrex Summit) indicated an accuracy of about +/- 5 meters.
Carbon Dynamics Along a Permafrost Gradient at Caribou-Poker Creeks Research Watershed (CPCRW) in Interior Alaska: GPS coordinates for a 75x75m spatial domain along a permafrost and vegetation gradient.
This dataset includes GPS coordinates and elevation data across a 75x75m spatial domain in the Caribou-Poker Creeks Research Watershed. Project summary: Specific leaf area (SLA, leaf area per unit dry mass) is a key canopy structural characteristic, a measure of photosynthetic capacity, and an important input into many terrestrial process models. Although many studies have examined SLA variation, relatively few data exist from high latitude, climate-sensitive permafrost regions. We measured SLA and soil and topographic properties across a boreal forest permafrost transition, in which forest composition changed as permafrost deepened from 54 to >150 cm over 75 m hillslope transects in Caribou-Poker Creeks Research Watershed, Alaska. This is an exploratory study to begin understanding SLA variation and controls thereof in a non-contiguous permafrost system.
Physical characteristics and GPS data for 21 permanent plots in Coweeta white pine watershed 1 from 2003 to 2004
A GPS receiver was used to acquire UTM coordinates and elevation for each plot center. Aspect and slope were also measured.
MCR LTER: Coral Reef: Coupled Natural-Human Systems: GPS-enabled survey of fish in Moorea’s lagoons
This dataset includes counts and sizes of fish within Moorea’s lagoons, with more than 130,000 fish recorded between 2018 and 2021. In summer of each year observers swim through Moorea’s lagoons, observing a 5-m wide swath and recording species and sizes of fish encountered in every minute of swim (about 10 linear meters of sampling). The fish counts are limited to a fixed species list (57 taxa) which was chosen to capture most of the reef associated species targeted in Moorea’s fishery, as well as important herbivores. Only fish larger than 10 cm were recorded, a size chosen to match the small end of fish observed in the catch. The resulting counts were georeferenced based on simultaneously collecting GPS data. Data are presented here on the scale of a minute of sampling. This scale coincides with benthic data which was simultaneously collected but is presented in a different data set (EDI data package: knb-lter-mcr.4014.1) doi:10.6073/pasta/f1e4cbcd79ebbbb0b0cbb79ab2ff8901 These data were collected as part of CNH-L: Multiscale Dynamics of Coral Reef Fisheries: Feedbacks Between Fishing Practices, Livelihood Strategies, and Shifting Dominance of Coral and Algae (BCS-1714704) with additional support from the Moorea Coral Reef LTER (OCE- 1637396).
MCR LTER: Coral Reef: Coupled Natural-Human Systems: GPS Benthic Data
This dataset includes cover of benthic organisms and substrates in more than 600,000 photographic samples of Moorea’s lagoon habitats, collected between 2018 and 2021. In summer of each year swimmers towed downward facing cameras, taking 1.5 photos per second of habitats they passed over. The resulting pictures were processed through a computer vision algorithm (CoralNet), resulting in percent cover estimates in each photo of organisms such as coral and algae and substrates such as sand and rubble. These data were georeferenced based on simultaneously collecting GPS data. Data are presented here on the scale of the photograph, and are also aggregated to the scale of a minute of sampling and a transect of swimming. The latter scales are chosen to coincide with fish counting data which was simultaneously collected but is presented in a different data set (EDI data package ID: knb-lter-mcr.4013.1) doi:10.6073/pasta/ff3de88334edda65fef26de45ff26c1d These data were collected as part of CNH-L: Multiscale Dynamics of Coral Reef Fisheries: Feedbacks Between Fishing Practices, Livelihood Strategies, and Shifting Dominance of Coral and Algae (BCS-1714704) with additional support from the Moorea Coral Reef LTER (OCE- 1637396).
2003 GPS shorelines for Hog, Wreck, and Metompkin Islands, VA
This dataset was collected by Curtis Smith during the summer of 2003 as a Research Experiences for Undergraduates (REU) participant. It consists of Global Positioning System (GPS) lines collected by walking high-tide and vegetation (Hog Island only) lines using a Trimble Geoexplorer XT GPS unit. The resulting data was processed with GPS Pathfinder Office using differential correction. All data are in the UTM (zone 18) and the WGS-84 projection was used throughout. During the repeated surveys of Hog, Curtis was developing methodologies and conventions for surveying sometimes confusing high-tide lines. Each shapefile name contains the island and the date of the survey within 2003 in the form Rmmdd where mm is the month and dd is the day. For example Hog_R0717_05A.shp would be Hog Island, VA on July 17, 2003. The raw GPS position files are also included. These proprietary (.SSF) files require the Trimble Pathfinder Office software to be interpreted. Â Individual shapefiles for each survey day were later (2013) combined into a single shapefile with the island and date identified as attributes. Â
GPS Survey Monuments on the Virginia Coast Reserve 1992-1994
The Virginia Coast Reserve Long-term Ecological Research project, in association with the Virginia Marine Resources Commission, conducted an intensive GPS survey during February 1992. A second GPS survey was conducted in August 1994 to add supplemental GPS monuments. Most monuments consist of stainless steel pipes driven to refusal and topped with a bolt with a point imprinted on it. Others may consist of existing markers or cultural features. Elevations refer to the monument, not the surrounding ground surface. All data were processed by the VCR/LTER. Several caveats must be applied to use of this survey network: 1. These are preliminary results and are subject to change as the network is revised. 2. This network is designed for research purposes only, the data are not suitable for legal uses of survey data. 3. The network includes several US Government benchmarks, but except for the VCR1 monument recently resurveyed and "fixed" by the National Geodetic Survey (see below), the coordinates for those benchmarks have not been adjusted to agree with blue-book values for those benchmarks. 4. Elevations are based on mean sea-level (NAVD88) for a single point (VCR1). No geoid corrections have been applied to any other point. *** Update: MINOR coordinate shifts resulting from NGS adjustment of the VCR1 monument's estimated lat/lon following the NAD83 (Va) HARN adjustment of 2011 have been calculated (0.017 m S, 0.001 m W), but not otherwise applied to the data. A shapefile of the VCR GPS network based on the original coordinates has also been included.
Malthi2015_GPS
<p><br> Malthi provides a nearly unique example of a fully excavated Middle Hellenic (MH) settlement. The excavated remains include a series of houses, storage facilities, entrance ways, and possible public architecture, enclosed by a settlement wall. Malthi is perhaps the first MH site at which a major restructuring of the settlement architecture was observed, as proposed by Valmin. The PIs research focuses on the socio-cultural motivations for the decision to make substantial revisions to the urban layout, as well as impacts on the life of the settlement and the surrounding area. PIs Rebecca Worsham, Prof. Donald Haggis, and Prof. Michael Lindblom collaborated with SPARC researchers to produce an accurate and analysis-ready plan of the exposed standing remains and a digital elevation model (DEM) of the settlement at Malthi, using a combination of scanning and structure from motion techniques. </p> <p>This work was embedded in a larger project, and aimed to reconsider the architecture of the site including prior identifications of room types (by Valmin), and to attempt to identify coherent buildings. This improved survey, mapping and interpretation exercise was intended to support a rethinking about the settlement’s organization, and re-organization, as a whole. The production of a local DEM of the site was intended to aid in a consideration of access routes and forms a starting point for establishing the role of Malthi in the larger Soulima Valley network, which may function as a major corridor.</p> <p>This upload contains the GPS data gathered during the Malthi project in 2015.</p>
Very high rate GPS observables from UCOE, UJUR, TNGF and OXUM continously operating stations, 17-19 Feb 2020. Dataset for the study "Assesment of Morelian meteoroid impact on Mexican environment" Part 3
<p>Archived data is Trimble raw T02 format from Trimble NetR9 receivers. Complete metadata for the stations can be obtained at the TLALOCNet archive at http://tlalocnet.udg.mx.</p> <p>This dataset includes high rate (5 and 50hz) versions of the UCOE, UJUR, TNGF and OXUM continous GPS station observables that is otherwise available as a 15 sec recording on the TLALOCNet archive (http://tlalocnet.udg.mx).</p> <p>Any use of this dataset or parts of it must give the proper acknowledgement , including the Zenodo assigned DOI as follows:</p> <p>This material is based on GPS data provided by the Trans-boundary, Land and Atmosphere Long-term Observational and Collaborative Network (TLALOCNet; Cabral-Cano et al., 2018) jointly operated by Servicio de Geodesia Satelital (SGS) at the Instituto de Geofísica-Universidad Nacional Autónoma de México in collaboration with and the GAGE facility operated by UNAVCO Inc. We gratefully acknowledge Armando Carrillo-Vargas and all the personnel from SGS and UNAVCO Inc. for station maintenance, data acquisition, IT support and data curation and distribution. TLALOCNet and related GPS operations at SGS are supported by the Consejo Nacional de Ciencia y Tecnología (CONACyT) projects 253760, 256012 and 2017-01-5955, UNAM-Programa de Apoyo a Proyectos de Investigación e Innovación Tecnológica (PAPIIT) projects IN104213, IN111509, IN109315-3, IN104818-3, NSF grant 2025104 and supplemental support from UNAM-Instituto de Geofísica. UNAVCO's initial support for TLALOCNet (now part of NOTA) was performed under EAR-1338091 and is currently supported by the National Science Foundation and the National Aeronautics and Space Adminsitration under NSF Cooperative Agreement EAR-1724794. </p>
Observed and model postseismic time series at GPS sites due to the 2012 Craig and 2013 Haida Gwaii earthquakes
<p><strong>Files with the observed and model displacements, along with predicted model time series</strong>, which derive from the paper of '<em>Postseismic Deformation Due To the 2012 MW 7.8 Haida Gwaii and 2013 MW 7.5 Craig Earthquakes and Its Implications for regional rheological structure'</em>.</p> <p><strong>SITE.obs files:</strong> observed postseismic time series due to the 2012 Mw 7.8 Haida Gwaii and 2013 Mw 7.5 Craig earthquakes</p> <p><strong>SITE.mod files:</strong> Model postseismic displacements, along with predicted time series. Detailed explanations please see <strong>readme.txt</strong>.</p> <p><strong>GPS site names</strong> are the same with the study of Tian et al. (2021). </p> <p> </p>
Observed and model postseismic time series at GPS sites due to the 2012 Craig and 2013 Haida Gwaii earthquakes
<p><strong>Files with the observed and model displacements, along with predicted model time series</strong>, which derive from the paper of '<em>Postseismic Deformation Due To the 2012 MW 7.8 Haida Gwaii and 2013 MW 7.5 Craig Earthquakes and Its Implications for regional rheological structure' </em><strong>JGR: Soild Earth (2021), </strong><a href="https://doi.org/10.1029/2020JB020197">https://doi.org/10.1029/2020JB020197</a>.</p> <p><strong>SITE.obs files:</strong> observed postseismic time series due to the 2012 Mw 7.8 Haida Gwaii and 2013 Mw 7.5 Craig earthquakes</p> <p><strong>SITE.mod files:</strong> Model postseismic displacements, along with predicted time series. Detailed explanations please see <strong>readme.txt</strong>.</p> <p><strong>GPS site names</strong> are the same with the study of Tian et al. (2021). <a href="https://doi.org/10.1029/2020JB020197">https://doi.org/10.1029/2020JB020197</a>.</p>
Comparison results from 'A global comparison of integrated water vapour estimates from WMO radiosondes, AERONET sun photometers and GPS for the 17 year period from 1997 to 2013' by Wilson, Hansen, Bingley and Milton
<p>This dataset contains the raw comparison results from the paper <em>A global comparison of integrated water vapour estimates from WMO radiosondes, AERONET sun photometers and GPS for the 17 year period from 1997 to 2013</em> by Wilson, Hansen, Bingley and Milton.</p> <p>The three files contain comparisons between:</p> <p>a) AERONET and Radiosonde (Validation_AERONET-Radiosonde.csv)</p> <p>b) AERONET and GPS (Validation_AERONET.csv)</p> <p>c) Radiosonde and GPS (Validation_Radiosonde.csv)</p>
Bald eagle (Haliaeetus leucocephalus) GPS relocations, southeastern Alaska, 2010-2016
<p>GPS relocations for 28 marked bald eagles (<em>Haliaeetus leucocephalus</em>) captured in southeastern Alaska, USA between 2010 and 2014.</p>
Audio files of beat note between WWV-10 carrier wave and GPS reference signal
<p>NAME : Martin Potter, VE3OAT<br> GEOPOSIT : 45 15' 9.023" N 75 35' 27.60" W (Maidenhead FN25eg)<br> START TIME : 1400 UT<br> STATION CONFIG :<br> Multi-band vertical antenna with 18 radials.<br> Receiver Yaesu FTdx1200 in AM mode with audio bandwidth limited to<br> 800-1200 Hz (18 dB/octave roll-off).<br> Trimble Thunderbolt 10 MHz output to HP 3325B sig generator set<br> to 9999 kHz and injected to station antenna.<br> Measured nominal 1 kHz beat note between WWV-10 and sig generator<br> using SpectrumLab software. Audio WAV file recorded by SpectrumLab. <br> <br> Note : On 20 Aug, receiver AGC was ON. On 21 Aug, receiver AGC was<br> OFF and audio output level was set using RF Gain control. </p> <p> </p>
In-vehicle Sensing Datasets (e.g., GPS, IMU, and OBD data) In Florida
<p>This data collection and distribution is supported by NSF OAC-1948066. These datasets include a total of 497 trajectory datasets over 2404 km. Each dataset includes 6DOF IMU data (e.g., triaxial acceleration and gyroscope data), GPS data (e.g., latitude, longitude, altitude, speed over ground, the number of connected satellites, Course Over Ground), and OBD data (e.g., rpm, throttle positions, accelerator positions, RPM, air temperature, etc.). The data collection mechanism adopts the asynchronous sampling technologies that make capturing sensor data independent of the recorded signal. Therefore, datasets collected from each sensor are logged in separate files (e.g., time_obd.jsonl, time_gps.jsonl, time_obd.jsonl). By matching the time when each sensor module initiated to log data, one can aggregate/fuse multi-type in-vehicle sensing data.</p><p> </p>
Temporal Seismic Velocity Changes Associated with the Mw 6.1, May 2008 Ölfus Doublet, South Iceland: a Joint Interpretation from dv/v and GPS. Cubuk-Sabuncu-etal-Dataset
<p>The dataset for the article "Temporal Seismic Velocity Changes Associated with the Mw 6.1, May 2008 Ölfus Doublet, South Iceland: a Joint Interpretation from dv/v and GPS" by Cubuk-Sabuncu et al. is provided.</p> <p>The weather dataset is now included in version 2.</p>
GPS trajectories of tourists in Öregrund 2023 from INCULTUM Sweden Pilot
<p>This dataset is part of ongoing work being written about changes in tourists' behaviour in Öregrund.</p>
RTK-GPS measurements on 6 rock glaciers in the La Sal and Uinta Mountains, Utah between 2021 and 2023
<p>RTK-GPS surveying of points marked on the surfaces of 6 rock glaciers in the La Sal and Uinta Mountains, Utah</p> <p>All<span> </span>measurements made with a pair of Emlid Reach RS2 RTK-GPS receivers connected in FIX mode</p> <p>Comparison of the x/y coordinates for points in subsequent surveys reveals planimetric motion of the rock glacier</p> <p>Error on measurements in the z direction (vertical) is large enough that up/down changes in the rock glaicer surface cannot be quantified from these data alone</p>
GPS time series of solid Earth deformation for the southern Antarctic Peninsula
<p>This dataset contains vertical GPS time series observed from selected sites in the southern Antarctic Peninsula. The time series were processed using GAMIT-GLOBK software (Herring et al., 2016) in combination with a globally distributed network that includes all available data from the International GNSS Service (IGS), US POLENET-ANET and UKANET networks. The provided archive contains raw and corrected time series for the effect of elastic deformation-induced from the RACMO surface mass balance (SMB) model with a 5.5 km horizontal resolution (van Wessem et al. 2016). This data is used in the manuscript "GPS-observed elastic deformation due to surface mass balance variability in the Southern Antarctic Peninsula" to study how modelled elastic deformation due to SMB variation can explain vertical land motion observed derived from GPS signals.</p>
Dataset for the paper "Imaging evolution of Cascadia slow‑slip event using high‑rate GPS"
<p>Slip and slip rate files for the preferred model of Itoh, Aoki, and Fukuda (2022, Scientific Reports, doi:10.1038/s41598-022-10957-8).</p> <p>Please see readme.txt for further details. The corresponding author information is also available there.</p> <p>Caution: the dataset has the size of 4.3GB after uncompression/extraction.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
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