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restrictednotspecifiedJun 2025View details →

Global Navigation Satellite System (GNSS) IGS Final Analysis Center (AC) Station Positions/Velocities (no covariance matrix) product from NASA CDDIS - Cloned

This derived product set consists of Global Navigation Satellite System Final Combined Station Positions/Velocities (no covariance matrix) Product available from the 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. Analysis Centers (ACs) of the International GNSS Service (IGS) retrieve GNSS data on regular schedules to produce precise orbits identifying the position and velocity of the GNSS satellites as well as precise station positions and velocities for the network of GNSS receivers. The IGS Reference Frame Coordinator uses these individual AC solutions to generate the official IGS station position/velocity product. The final AC products consist of daily and weekly station position and velocity files in SINEX format, generated on a daily/weekly basis, approximately 11-17 days after the end of the solution week.

Global Navigation Satellite System (GNSS) IGS Final Cumulative Station Positions/Velocities Product from NASA CDDIS

This derived product set consists of Global Navigation Satellite System Final Combined Station Positions/Velocities Product available from the 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. Analysis Centers (ACs) of the International GNSS Service (IGS) retrieve GNSS data on regular schedules to produce precise orbits identifying the position and velocity of the GNSS satellites as well as precise station positions and velocities for the network of GNSS receivers. The IGS Reference Frame Coordinator uses these individual AC solutions to generate the official IGS station position/velocity product. The cumulative final product can contain several position and velocities sets per station over specific time periods to model discontinuities. The final products are considered the most consistent and highest quality IGS solutions and consists of daily and weekly station position and velocity files in SINEX format, generated on a daily/weekly basis by combining solutions from individual IGS ACs, approximately 11-17 days after the end of the solution week.

Global Navigation Satellite System (GNSS) IGS Final Station Position Residuals Between the Analysis Center (AC) Solutions and the Cumulative Combined Solution Product from NASA CDDIS

This derived product set consists of Global Navigation Satellite System Final Combined Station Positions/Velocities Product Residuals available from the 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. Analysis Centers (ACs) of the International GNSS Service (IGS) retrieve GNSS data on regular schedules to produce precise orbits identifying the position and velocity of the GNSS satellites as well as precise station positions and velocities for the network of GNSS receivers. The IGS Reference Frame Coordinator uses these individual AC solutions to generate the official IGS station position/velocity product. The final products are considered the most consistent and highest quality IGS solutions and consists of daily and weekly station position and velocity files in SINEX format, generated on a weekly basis by combining solutions from individual IGS ACs, approximately 11-17 days after the end of the solution week. The final station position/velocities residual product consists of the residuals between the AC solutions and cumulative reference frame solution.

Global Navigation Satellite System (GNSS) IGS Final Station Positions Residuals (Between the Analysis Center Solutions and Reference Frame Solution) Product from NASA CDDIS

This derived product set consists of Global Navigation Satellite System Final Combined Station Positions/Velocities Product Residuals, between daily Analysis Center solutions and the current reference frame, available from the 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. Analysis Centers (ACs) of the International GNSS Service (IGS) retrieve GNSS data on regular schedules to produce precise orbits identifying the position and velocity of the GNSS satellites as well as precise station positions and velocities for the network of GNSS receivers. The IGS Reference Frame Coordinator uses these individual AC solutions to generate the official IGS station position/velocity product. The final products are considered the most consistent and highest quality IGS solutions and consists of daily and weekly station position and velocity files in SINEX format, generated on a daily/weekly basis by combining solutions from individual IGS ACs, approximately 11-17 days after the end of the solution week. The final station position/velocities residual product consists of the residuals between the AC solutions and combined reference frame solution.

IceBridge POS/AV L1B Corrected Position and Attitude Data, Version 1

This data set contains georeferencing data from the Applanix 510 POS AV system flown with the Digital Mapping System (DMS) and other instruments over Greenland and Antarctica. Data parameters include latitude, longitude, altitude, velocity, roll, pitch, and heading. The data were collected as part of Operation IceBridge funded campaigns.

Global Navigation Satellite System (GNSS) IGS Final Combined Station Positions/Velocities Product from NASA CDDIS

This derived product set consists of Global Navigation Satellite System Final Combined Station Positions/Velocities Product available from the 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. Analysis Centers (ACs) of the International GNSS Service (IGS) retrieve GNSS data on regular schedules to produce precise orbits identifying the position and velocity of the GNSS satellites as well as precise station positions and velocities for the network of GNSS receivers. The IGS Reference Frame Coordinator uses these individual AC solutions to generate the official IGS station position/velocity product. The final products are considered the most consistent and highest quality IGS solutions and consists of daily and weekly station position and velocity files in SINEX format, generated on a daily/weekly basis by combining solutions from individual IGS ACs, approximately 11-17 days after the end of the solution week.

March through August Ice Edge Positions in the Nordic Seas, 1750-2002, Version 1

This product contains ice edge coordinates for the Nordic Seas from 1750 through 2002 for months March through August. Ice edge in this product is defined as the outer boundary of ice having at least 30 percent ice concentration. Data are derived from publicly available sea ice products and use observational data from ship logbooks, diaries, and other sources in addition to more recent satellite data products from the Scanning Multichannel Microwave Radiometer (SMMR) and the Special Sensor Microwave Imager (SSM/I).

S-MODE L2 Position Data from Surface Drifters Version 1

This dataset contains in-situ position data from surface drifters from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) conducted approximately 300 km offshore of San Francisco during a pilot campaign over two weeks in October 2021, and two intensive operating periods (IOPs) in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Drifting buoys were deployed from the research vessels and configured to nominally report positions every five minutes. Drifters deployed were a mixture of CARTHE and Microstar types. CARTHE drifters are drogued at 40 cm depth and measure the average horizontal velocity of currents in the upper 60 cm of the ocean (Novelli et al., 2017). Microstar drifters are drogued at 1 m depth and measure the average horizontal velocity of ocean currents between 0.4 m and 1.6 m depth (Ohlmann et al., 2005). See the S-MODE Data Submission Report sections 2.3.2.2, 2.4.2.2 and 2.5.2.3 for more information. Tracking and telemetry of the drifters is done by Pacific Gyre, Inc. The data are available in netCDF format with a dimension of time. Novelli, G., C. M. Guigand, C. Cousin, E. H. Ryan, N. J. M. Laxague, H. Dai, B. K. Haus, and T. M. Özgökmen, 2017: A Biodegradable Surface Drifter for Ocean Sampling on a Massive Scale. J. Atmos. Oceanic Technol., 34, 2509–2532, https://doi.org/10.1175/JTECH-D-17-0055.1. Ohlmann, J. C., P. F. White, A. L. Sybrandy, and P. P. Niiler, 2005: GPS–Cellular Drifter Technology for Coastal Ocean Observing Systems. J. Atmos. Oceanic Technol., 22, 1381–1388, https://doi.org/10.1175/JTECH1786.1. Westbrook, E., Bingham, F. M., Brodnitz, S., Farrar, J. T., Rodriguez, E., & Zappa, C., (2024). Submesoscale Ocean Dynamics Experiment (S-MODE) Data Submission Report. Technical Report. Woods Hole Oceanographic Institution, WHOI-2024-03, https://doi.org/10.1575/1912/69362

Satellite Laser Ranging (SLR) ILRS Combination Center (CC) Station Position and Earth Rotation Parameters (ERP) Product (weekly files, generated daily) from NASA CDDIS

This derived product set consists of Satellite Laser Ranging Final Station Position plus ERP Product (daily files, generated daily) from the NASA Crustal Dynamics Data Information System (CDDIS). SLR provides unambiguous range measurements to mm precision that can be aggregated over the global network to provide very accurate satellite orbits, time histories of station position and motion, and many other geophysical parameters. SLR operates in the optical region and is the only space geodetic technique that measures unambiguous range directly. Analysis of SLR data contributes to the terrestrial reference frame, modeling of the spatial and temporal variations of the Earth's gravitational field, and monitoring of millimeter-level variations in the location of the center of mass of the total Earth system (solid Earth-atmosphere-oceans). In addition, SLR provides precise orbit determination for spaceborne radar altimeter missions. It provides a means for sub-nanosecond global time transfer, and a basis for special tests of the Theory of General Relativity. Analysis Centers (ACs) of the International Laser Ranging Service (ILRS) retrieve SLR data on regular schedules to produce precise station positions and velocities for stations in the ILRS network. The ACs also generate Earth Orientation Parameters from the SLR data. The ILRS Analysis Center Coordinators (ACC) uses these individual AC solutions to generate the official ILRS final combined station position plus ERP products, as well as backup combination. The final products are considered the most consistent and highest quality ILRS solutions; they consist of daily station position/ERP files, generated on a daily basis with a typical delay of 2 days. All station position/ERP solution files utilize the Software Independent Exchange (SINEX) format and span 1 day from 00:00 to 23:45 UTC.

restrictednotspecifiedJun 2025View details →

Global Navigation Satellite System (GNSS) IGS Analysis Center (AC) Final Station Positions/Velocities Product from NASA CDDIS

This derived product set consists of Global Navigation Satellite System Final Combined Station Positions/Velocities Product available from the 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. Analysis Centers (ACs) of the International GNSS Service (IGS) retrieve GNSS data on regular schedules to produce precise orbits identifying the position and velocity of the GNSS satellites as well as precise station positions and velocities for the network of GNSS receivers. The IGS Reference Frame Coordinator uses these individual AC solutions to generate the official IGS station position/velocity product. The final AC products consist of daily and weekly station position and velocity files in SINEX format, generated on a daily/weekly basis and are available approximately 11-17 days after the end of the solution week.

Satellite Laser Ranging (SLR) ILRS Analysis Center (AC) Position and Earth Rotation Parameters (ERP) Product (weekly files, generated daily) from NASA CDDIS

This derived product set consists of Satellite Laser Ranging Analysis Center (AC) Station Position plus ERP Product (daily files, generated daily) from the NASA Crustal Dynamics Data Information System (CDDIS). SLR provides unambiguous range measurements to mm precision that can be aggregated over the global network to provide very accurate satellite orbits, time histories of station position and motion, and many other geophysical parameters. SLR operates in the optical region and is the only space geodetic technique that measures unambiguous range directly. Analysis of SLR data contributes to the terrestrial reference frame, modeling of the spatial and temporal variations of the Earth's gravitational field, and monitoring of millimeter-level variations in the location of the center of mass of the total Earth system (solid Earth-atmosphere-oceans). In addition, SLR provides precise orbit determination for spaceborne radar altimeter missions. It provides a means for sub-nanosecond global time transfer, and a basis for special tests of the Theory of General Relativity. Analysis Centers (ACs) of the International Laser Ranging Service (ILRS) retrieve SLR data on regular schedules to produce precise station positions and velocities for stations in the ILRS network. The ACs also generate Earth Orientation Parameters from the SLR data. These individual AC solutions are used by the ILRS Analysis Center Coordinators (ACC) to generate the official ILRS final combined station position plus ERP products, as well as backup combination. The final products are considered the most consistent and highest quality ILRS solutions; they consist of daily station position/ERP files, generated on a daily basis with a typical delay of 2 days. All station position/ERP solution files utilize the Software Independent Exchange (SINEX) format and span 1 day from 00:00 to 23:45 UTC.

Ground-Based Doppler Orbitography by Radiopositioning Integrated on Satellite (DORIS) IDS Weekly Station Position Product from NASA CDDIS

Doppler Orbitography by Radiopositioning Integrated on Satellite (DORIS) Weekly Station Position Product from the NASA Crustal Dynamics Data Information System (CDDIS). DORIS is a dual-frequency Doppler system consisting of a receiver flying aboard a satellite and a globally distributed network of ground beacons. The DORIS receiver on-board the orbiting satellite tracks the dual-frequency radio signals transmitted by the network of ground beacons and generates the DORIS data. A measurement is made of either the Doppler shift or absolute phase as the satellite’s orbit moves over the ground-based beacon. DORIS data records contain a time-tagged range-rate measurement with associated ancillary information. DORIS observations from a global network can be utilized for a variety of products. Analysis Centers (ACs) of the International DORIS Service (IDS) retrieve DORIS data on a regular basis to compute weekly station position solutions for the DORIS beacons supporting the IDS network. The IDS Analysis Center Coordinator combines these individual AC solutions in a standard least-squares adjustment to generate the official IDS weekly combined station position solution.

Global Navigation Satellite System (GNSS) IGS Final Combined Station Position Solution Summary Product from NASA CDDIS

This derived product set consists of Global Navigation Satellite System Final Combined Station Positions/Velocities Summary Product available from the 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. Analysis Centers (ACs) of the International GNSS Service (IGS) retrieve GNSS data on regular schedules to produce precise orbits identifying the position and velocity of the GNSS satellites as well as precise station positions and velocities for the network of GNSS receivers. The IGS Reference Frame Coordinator uses these individual AC solutions to generate the official IGS station position/velocity product. The final products are considered the most consistent and highest quality IGS solutions and consists of daily and weekly station position and velocity files in SINEX format, generated on a daily/weekly basis by combining solutions from individual IGS ACs, approximately 11-17 days after the end of the solution week.

CDDIS MEaSUREs SESES GNSS products Daily 5-minute Precise Point Positioning (PPP) Tropospheric Estimates

Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA’s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. These GNSS data products are long-term time series of troposphere delay (5-minute resolution) at geodetic stations, necessarily estimated during position time series production.

Ground-Based Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS) Cumulative Station Position Product from NASA CDDIS

Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS) Cumulative Station Position Product from the NASA Crustal Dynamics Data Information System (CDDIS). DORIS is a dual-frequency Doppler system consisting of a receiver flying aboard a satellite and a globally distributed network of ground beacons. The DORIS receiver on-board the orbiting satellite tracks the dual-frequency radio signals transmitted by the network of ground beacons and generates the DORIS data. A measurement is made of either the Doppler shift or absolute phase as the satellite’s orbit moves over the ground-based beacon. DORIS data records contain a time-tagged range-rate measurement with associated ancillary information. DORIS observations from a global network can be utilized for a variety of products. Analysis Centers (ACs) of the International DORIS Service (IDS) retrieve DORIS data on a regular basis to compute station position solutions for the DORIS beacons supporting the IDS network. The IDS Analysis Center Coordinator combines these individual AC solutions to generate a long-term DORIS position and velocity cumulative solution through a piecewise linear (position+velocity) model to describe the station motions. The cumulative position and velocity solution is obtained from the stacking of the weekly solution files and is then aligned to the current ITRF. The residuals of this stacking are of particular interest since they depict non-linear station motions.

openGEO-OpenAug 2009View details →

Expression data from CD4-positive HTLV-positive cell lines and from CD4-positive HTLV-negative primary cells.

GEO Series GSE17718. Homo sapiens. 6 samples. Type: Expression profiling by array.

openGEO-OpenSep 2021View details →

Blood transcriptomes of anti-SARS-CoV2 antibody positive healthy individuals with prior asymptomatic versus clinical infection

GEO Series GSE173317. Homo sapiens. 32 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenApr 2021View details →

Pooled CRISPR Screening Identifies m6A as a Positive Regulator of Macrophage Activation

GEO Series GSE162255. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing.

openGEO-OpenMar 2021View details →

Regulation of DNA (de)methylation positively impacts seed germination during seed development under heat stress

GEO Series GSE167245. Arabidopsis thaliana. 57 samples. Type: Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing.