Datasets

Zwing, A. and Bachtadse, V. (2000). Paleoposition of the northern margin of Armorica in late devonian times: Paleomagnetic and rock magnetic results from the Frankenstein Intrusive Complex (Mid-German Crystalline Rise). Journal of Geophysical Research 105: doi: 10.1029/2000JB900167. issn: 0148-0227. Type: [ Outcrop ] Class: [ Intrusive ] Lithology: [ Gabbro|Diorite ] Ages: [ 356 to 370 Ma ] from Earthref Magic http://datadiscoverystudio.org/geoportal/rest/metadata/item/4af42518114549e49a49c2cd0fbcbf81/html

Global Navigation Satellite System (GNSS) Station unr/gnss/CTBD/3119/L2/24:00:00 Name: CTBD Processing Level: L2 measurement_technique: gnss variable_measured: position creator:Automatic data_start_time:2015-07-29T00:00:00 data_stop_time:2018-03-19T00:00:00 GPS/GNSS instrumentation records broadcast signals from the GPS and other satellite constellation, and these raw data are converted into standard daily RINEX files suitable for processing. GPS/GNSS data are recorded at 15-s or 30-s intervals. Several hundred stations of the PBO network also supply downloaded or streamed 1-s data for archiving and distribution. In addition highrate data of 1 Hz or 5 Hz may be Custom Data Requested in association with an event such as a significant earthquake. For data of all rates UNAVCO translates to RINEX and quality checks the data using teqc. GAGE Analysis Centers process data for all 1100 sites in the PBO GPS/GNSS network and for other sites, including most of the sites in COCONet in the Caribbean region and an additional 500 sites distributed across North America, most of which are operated by other institutions. The final, processed products are SINEX solutions, position ti Web Service Link ['The hydrologic models are surface-loading displacement time series calculated at GAGE-processed sites from hydrological data. Soil moisture, snow-water equivalent from snowpack, and water stored in vegetation exert a load on the Earth's surface that is modeled to obtain displacements at GPS/GNSS sites. Outputs GPS crustal motion velocity field estimates. '] Web Service Link [ 'Results from daily GPS station position solutions are combined to generate long-term velocity estimate solutions of stations in IGS08 and NAM08 (North America fixed) reference frames. Station offsets due to earthquakes and equipment changes are estimated and low-quality outliers due to snow, for example, are removed from the velocity estimate solutions '] http://datadiscoverystudio.org/geoportal/rest/metadata/item/0934557c02fe4d839d6869b924c2cdab/html

Box Number: D6156 Starting Depth: 4200 Ending Depth: 5440 http://datadiscoverystudio.org/geoportal/rest/metadata/item/fb6db57316264da6815a30fa83721c9d/html

Daily sea level from coastal tide gauge station Adak in 1964 (Research quality database) http://datadiscoverystudio.org/geoportal/rest/metadata/item/097df0ba4a3e4ef3b0862ed5498fe938/html

Box Number: 03495 Starting Depth: 4850 Ending Depth: 5195 http://datadiscoverystudio.org/geoportal/rest/metadata/item/5dfd28c7e690400f8fbf3c5542b93395/html

Dissolved oxygen, salinity, and temperature collected by bottle from multiple cruises in the North Atlantic Ocean from 8/9/1974 - 12/16/1986 (NODC Accession 0000021)Accession Number http://datadiscoverystudio.org/geoportal/rest/metadata/item/76cfe169513c42b6976c1fd30f7295e1/html

This data set is part of a larger set of data called the Multibeam Bathymetry Database (MBBDB) where other similar data can be found at https://maps.ngdc.noaa.gov/viewers/bathymetry/NOAA's National Centers for Environmental Information (NCEI) is the U.S. national archive for multibeam bathymetric data and presently holds over 2400 surveys received from sources worldwide, including the U.S. academic fleet via the Rolling Deck to Repository (R2R) program. In addition to deep-water data, the multibeam database also includes hydrographic multibeam survey data from the National Ocean Service (NOS). This map service shows navigation for multibeam bathymetric surveys in NCEI's archive. Older surveys are colored orange, and more recent recent surveys are green. http://datadiscoverystudio.org/geoportal/rest/metadata/item/cfc6516ac9db469d8d5aea9ee51d79d0/html

Picophytoplankton cell counts at station TT049_15-3 http://datadiscoverystudio.org/geoportal/rest/metadata/item/7fe35b14b0cf40c8a9bfe31ca9297de3/html

Box Number: 18495 Starting Depth: 3155 Ending Depth: 3585 http://datadiscoverystudio.org/geoportal/rest/metadata/item/9cbc7aa71a824ec7a68a4c7def99cae7/html

USGS high resolution orthorectified images from The National Map combine the image characteristics of an aerial photograph with the geometric qualities of a map. An orthoimage is a uniform-scale image where corrections have been made for feature displacement such as building tilt and for scale variations caused by terrain relief, sensor geometry, and camera tilt. A mathematical equation based on ground control points, sensor calibration information, and a digital elevation model is applied to each pixel to rectify the image to obtain the geometric qualities of a map. A digital orthoimage may be created from several photographs mosaicked to form the final image. The source imagery may be black-and-white, natural color, color infrared, or color near infrared (4-band) with a pixel resolution of 1-meter or finer. With orthoimagery, the resolution refers to the distance on the ground represented by each pixel. There is no image overlap between adjacent files. Data received at EROS were reprojected from source projection to a standard utm projection and resolution resampled to align to the U.S. National Grid (USNG) using The National Map. The naming convention is based on the USNG, taking the coordinates of the SW corner of the orthoimage. The metadata were imported and updated for display through The National Map at http://nationalmap.gov/viewer.html Image-level metadata are provided in XML format. Data were compressed utilizing IAS software. The compression was JPEG2000 Lossy Compressed. The file format created was .jp2. http://datadiscoverystudio.org/geoportal/rest/metadata/item/a401d00cab154ac4ae4018f0562043c1/html

XBT data were collected from NOAA Ship DELAWARE II in support of the Integrated Global Ocean Services System (IGOSS). Data were collected by the National Marine Fisheries Service (NMFS) from 04 May 1977 to 30 June 1977. Data were processed by NODC to the NODC standard Universal Bathythermograph Output (UBT) format. Full format description is available from NODC at www.nodc.noaa.gov/General/NODC-Archive/bt.html. The UBT file format is used for temperature-depth profile data obtained using expendable bathythermograph (XBT) instruments. Standard XBTs can obtain profiles at depths of about 450 or 760 m. With special instruments, measurements can be obtained to 1830 m. Cruise information, position, date, and time are reported for each observation. The data record comprises pairs of temperature-depth values. Unlike the MBT data file, in which temperature values are recorded at uniform 5m intervals, the XBT Data File contains temperature values at non-uniform depths. These depths are at a minimum number of points ('inflection points ') required to record the temperature curve to an acceptable degree of accuracy. On output, however, the user may request temperature values either at inflection points or interpolated to uniform depth increments. http://datadiscoverystudio.org/geoportal/rest/metadata/item/c032e5204a404e298bffe5f0ae2e205f/html

The goal of NLDAS is to construct quality-controlled, and spatially and temporally consistent, land-surface model (LSM) datasets from the best available observations and model output to support modeling activities. Specifically, this system is intended to reduce the errors in the stores of soil moisture and energy which are often present in numerical weather prediction models, and which degrade the accuracy of forecasts. NLDAS is currently running in near real-time on a 1/8th-degree grid over central North America; retrospective NLDAS datasets and simulations also extend back to January 1979. NLDAS constructs a forcing dataset from gauge-based observed precipitation data (temporally disaggregated using Stage II radar data), bias-correcting shortwave radiation, and surface meteorology reanalyses to drive several different LSMs to produce model outputs of surface fluxes, soil moisture, and snow cover. NLDAS is a collaboration project among several groups: NOAA/NCEP's Environmental Modeling Center (EMC), NASA's Goddard Space Flight Center (GSFC), Princeton University, the University of Washington, the NOAA/NWS Office of Hydrological Development (OHD), and the NOAA/NCEP Climate Prediction Center (CPC). NLDAS is a core project with support from NOAA's Climate Prediction Program for the Americas (CPPA). Data from the project can be accessed from the NASA Goddard Earth Science Data and Information Services Center (GES DISC) as well as from the NCEP/EMC NLDAS website. This service provides access to NASA's North American Land Data Assimilation System (NLDAS) hourly Mosaic land surface model data. http://datadiscoverystudio.org/geoportal/rest/metadata/item/c395f8d6fb5c4f73a41061855d7a5a78/html