A two-week field operation was conducted in the John Day Reservoir on the Columbia River to image the floor of the pool, to measure the distribution and thickness of post-impoundment sediment, and to verify these geophysical data with video photography and bottom sediment samples. The field program was a cooperative effort between the USGS Coastal and Marine Geology Team of the Geologic Division and the USGS Columbia River Research Laboratory of the Biological Resources Division. The data collection was completed aboard the R/V ESTERO during September 13-27, 2000. The interest in sediment accumulation in the reservoir was two-fold. First, it was unknown how effective this reservoir was as a sediment trap to material that otherwise would have been transported down-river to the estuary and eventually to the ocean. The recent erosion of beaches along the Washington coast has been attributed to a decreased contribution of sediment from the Columbia River to the coastal system due to the damming of the river. Second, sediment accumulation on the floors of reservoirs along the Columbia River has been suggested to be diminishing salmon spawning grounds. The extent of changes in habitat since construction of the John Day Dam, however, had not been documented. Common data sets were needed to address both of these questions, and for these reasons this geophysical and sampling program was undertaken.

The data set combines the best available roads data by country into a global roads coverage, using the UN Spatial Data Infrastructure Transport (UNSDI-T) version 2 as a common data model. The purpose is to provide an open access, well documented global data set of roads between settlements using a consistent data model (UNSDI-T v.2) which is, to the extent possible, topologically integrated.Dataset SummaryThe Global Roads Open Access Data Set, Version 1 (gROADSv1) was developed under the auspices of the CODATA Global Roads Data Development Task Group. The data set combines the best available roads data by country into a global roads coverage, using the UN Spatial Data Infrastructure Transport (UNSDI-T) version 2 as a common data model. All country road networks have been joined topologically at the borders, and many countries have been edited for internal topology. Source data for each country are provided in the documentation, and users are encouraged to refer to the readme file for use constraints that apply to a small number of countries. Because the data are compiled from multiple sources, the date range for road network representations ranges from the 1980s to 2010 depending on the country (most countries have no confirmed date), and spatial accuracy varies. The baseline global data set was compiled by the Information Technology Outreach Services (ITOS) of the University of Georgia. Updated data for 27 countries and 6 smaller geographic entities were assembled by Columbia University's Center for International Earth Science Information Network (CIESIN), with a focus largely on developing countries with the poorest data coverage.Documentation for the Global Roads Open Access Data Set, Version 1 (gROADSv1)Recommended CitationCenter for International Earth Science Information Network - CIESIN - Columbia University, and Information Technology Outreach Services - ITOS - University of Georgia. 2013. Global Roads Open Access Data Set, Version 1 (gROADSv1). Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://dx.doi.org/10.7927/H4VD6WCT. Accessed DAY MONTH YEAR.

The Global Roads Open Access Data Set, Version 1 (gROADSv1) was developed under the auspices of the CODATA Global Roads Data Development Task Group. The data set combines the best available roads data by country into a global roads coverage, using the UN Spatial Data Infrastructure Transport (UNSDI-T) version 2 as a common data model. All country road networks have been joined topologically at the borders, and many countries have been edited for internal topology. Source data for each country are provided in the documentation, and users are encouraged to refer to the readme file for use constraints that apply to a small number of countries. Because the data are compiled from multiple sources, the date range for road network representations ranges from the 1980s to 2010 depending on the country (most countries have no confirmed date), and spatial accuracy varies. The baseline global data set was compiled by the Information Technology Outreach Services (ITOS) of the University of Georgia. Updated data for 27 countries and 6 smaller geographic entities were assembled by Columbia University's Center for International Earth Science Information Network (CIESIN), with a focus largely on developing countries with the poorest data coverage.

This dataset includes various facilities used for fisheries management in the Columbia Basin, as well as key hydroelectric dams throughout the Basin. For the purposes of this dataset, a facility is a fixed or semi-fixed location where fish are managed, counted or passed, and generally where there is at least one data record in a Pacific States Marine Fisheries Commission(PSMFC) database. Not all dams fall neatly within this definition, but are included since they are a significant factor in fish distribution. A primary objective of this dataset is to link PSMFC's Columbia Basin fish data programs through a common location framework, while eliminating the redundancy of location data being mapped and managed by the individual program. While the facility location data will be managed by the PSMFC GIS Center as a single dataset, facilities can be separated and published into multiple map layers based on facility type or other attributes. Sources for these point data came primarily from Programs within the Pacific States Marine Fisheries Commission (PSMFC), including StreamNet, PIT Tag Information System(PTAGIS), and the Regional Mark Processing Center(RMPC), and their various state and federal partners. Locations have been checked and in some cases modified, to more closely match available imagery and/or regional hydrography, as appropriate. Inclusion in the dataset or depiction in the mapper does not mean that the facility is currently active. Basic types of fish facilities currently include:• Hatcheries, acclimation / release sites• Dams (categorized further for display purposes)• Fish traps & collection facilities (including screw traps, weir traps, etc.)• Fish passage facilities (including fish ladders and juvenile fish bypasses)• PTAGIS instream remote detection facilities** Note that not all PTAGIS sites are depicted in this dataset.We strive for accuracy and completeness, but expect that improvements to the dataset can be made. If you have any corrections, additions, suggestions, or concerns, please contact gis@psmfc.org

A two-week field operation was conducted in the John Day Reservoir on the Columbia River to image the floor of the pool, to measure the distribution and thickness of post-impoundment sediment, and to verify these geophysical data with video photography and bottom sediment samples. The field program was a cooperative effort between the USGS Coastal and Marine Geology Team of the Geologic Division and the USGS Columbia River Research Laboratory of the Biological Resources Division. The data collection was completed aboard the R/V ESTERO during September 13-27, 2000. The interest in sediment accumulation in the reservoir was two-fold. First, it was unknown how effective this reservoir was as a sediment trap to material that otherwise would have been transported down-river to the estuary and eventually to the ocean. The recent erosion of beaches along the Washington coast has been attributed to a decreased contribution of sediment from the Columbia River to the coastal system due to the damming of the river. Second, sediment accumulation on the floors of reservoirs along the Columbia River has been suggested to be diminishing salmon spawning grounds. The extent of changes in habitat since construction of the John Day Dam, however, had not been documented. Common data sets were needed to address both of these questions, and for these reasons this geophysical and sampling program was undertaken.

This collection holds the Lowered Acoustic Doppler Current Profile (LADCP) estimates of ocean currents collected for the Global Ocean Ship-based Hydrographic Investigations Program (GO-SHIP). GO-SHIP brings together scientists with interests in physical oceanography, the carbon cycle, marine biogeochemistry and ecosystems, and other users and collectors of ocean interior data, and coordinates a network of globally sustained hydrographic sections as part of the global ocean/climate observing system including physical oceanography, the carbon cycle, marine biogeochemistry and ecosystems. To understand the ocean currents through the water column, LADCPs are employed. LADCPs estimate deep ocean absolute currents and shear. LADCP specialists of the University of Hawaii (UH) and the Lamont-Doherty Earth Observatory (LDEO) serve as the conduit to integrate LADCP data from international sources into a common database in support of GO-SHIP. LADCP data in this collection begin in 2015 with 1-2 cruises per year, which revisit World Ocean Circulation Experiment (WOCE) transect lines across the major ocean basins. Files within each granule of the collection consist of either ASCII text or NetCDF formats for the science-ready data, though there are some proprietary formats for the raw data directories, which are included to give advanced users the opportunity to reprocess the set. ADCPs use the Doppler shift of an outgoing frequency along a beam to return measured velocity along that beam. ADCPs typically have 4 beams, allowing measurement of velocity in 3 dimensions, in bins of varying distances from the transducer head. In this application, the ADCP is mounted on a Conductivity-Temperature-Depth (CTD) rosette frame and lowered along with the rest of the package, hence called Lowered ADCP ("LADCP"). The goal is to determine water velocities to the full depth of the ocean for each LADCP deployment. Ocean velocities are very small (few cm/s), especially in the deep water. The package is typically lowered or raised at 1m/s for much of the water column, creating a challenging data processing situation. Lowered ADCP data requires ancillary information to calculate ocean velocities and turbulence parameters. Ancillary measurements included in the submission package include Conductivity, Temperature, Depth, at 24Hz, with 1Hz position, and shipboard ADCP data. For the NCEI archive of GO-SHIP LADCP, three levels are defined: 1) Level-0, raw LADCP and ancillary data streams of the down- and up-cast, 2) Level-1, processed LADCP and ancillary data streams for the down-, up-, and averaged cast, and 3) Level-2 science-ready subset of select parameters. Presently only Levels 0 and 1 will be archived since work continues for defining error associated with Level 3. There is one processed file per station cast. The ancillary streams of Level-1 are the basic oceanographic variables of interest, and may also include a variety of additional fields associated with the processing.