Surface geophysical tools remotely sense hydrogeological properties that can control subsurface flow and water quality. There are numerous geophysical tools, for the Quashnet River work we have principally used ground penetrating radar (GPR) and electromagnetic imaging (EMI). The instruments are either hand carried or floated down the stream channel and other cross-sections of the river corridor. Data from various field deployments of GPR and EMI are described and presented here.

All data that is retrieved from the JRC Invasive Alien Species in Europe app, i.e. submissions received in real time, their updates to pre-validated and validated observations, and statistical information that is produced on top of these inputs.

GapMaps Mobile Location Data uses location data on mobile phones sourced by Azira which is collected from smartphone apps when the users have given their permission to track their location. It can shed light on consumer visitation patterns (“where from” and “where to”), frequency of visits, profiles of consumers and much more.

Businesses can utilise mobile location data to answer key questions including: - What is the demographic profile of customers visiting my locations? - What is my primary catchment? And where within that catchment do most of my customers travel from to reach my locations? - What points of interest drive customers to my locations (ie. work, shopping, recreation, hotel or education facilities that are in the area) ? - How far do customers travel to visit my locations? - Where are the potential gaps in my store network for new developments?
- What is the sales impact on an existing store if a new store is opened nearby? - Is my marketing strategy targeted to the right audience? - Where are my competitor's customers coming from?

Mobile Location data provides a range of benefits that make it a valuable addition to location intelligence services including: - Real-time - Low-cost at high scale - Accurate - Flexible - Non-proprietary - Empirical

Azira have created robust screening methods to evaluate the quality of mobile location data collected from multiple sources to ensure that their data lake contains only the highest-quality mobile location data.

This includes partnering with trusted location SDK providers that get proper end user consent to track their location when they download an application, can detect device movement/visits and use GPS to determine location co-ordinates.

Data received from partners is put through Azira's data quality algorithm discarding data points that receive a low quality score.

Use cases in Europe will be considered on a case to case basis.

This dataset is a LAS (industry-standard binary format for storing large point clouds) dataset containing light detection and ranging (LiDAR) data representing beach topography of Lake Superior at Minnesota Point, Duluth, Minnesota. Average point spacing of the LiDAR points in the dataset is 0.137 meters (m; 0.45 feet [ft]). The LAS dataset was used to create a 1-m (3.28084 ft) digital elevation model (DEM) of the approximately 4 kilometer (2.5 mile) surveyed reach of the beach. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019).

A current meter mooring was installed in 100m of water, approximately 2km offshore of Point Perpendicular, Jervis Bay. This mooring housed 3 current meters (at 30m, 55m and 90m water depth) and also a tide gauge. Over a period of approx. 8 months the mooring was deployed 3 times in nominally the same location (as illustrated). Deployment 1 - 35.16 S, 150.817 E. Deployments 2 & 3 - 35.1267 S, 150.825 E. Datasets presented here correspond to data retrieved from the three current meters over the study period.

The hourly datasets provide data accumulated from all 3 deployments, and provide details of the eastern & northern tidal components, cross & long-shore velocity components, temperature, salinity and sigma-T.

The subsets to these larger datasets present individual data points collected at sample intervals of 10 mins (deployment 1) or 15 mins (deployments 2 & 3) for the upper two meters at 30m and 55m water depth. The current meter at 90m utilised sampling intervals of 10mins (deployments 1 & 2) and 30mins (deployment 3). Compared to the hourly averaged datasets, these allow water movements to be studied over a shorter time scale. The parameters measured include the eastern and northern tidal components, water speed and direction, temperature, salinity and sigma-T.

Approx deployment dates - see individual records for exact date and time of collection: 1) 11/4/89 - 5/6/89... 2) 28/7/89 - 29/8/89... 3) 30/8/89 - 29/11/89

TIDE GAUGE: The tide gauge was secured to the mooring line on the sea-bed at a depth of ~100m for all three deployments In addition to depth, the tide gauge also housed a temperature sensor.

This is one of four child records that relate to the parent, 5f4333e0-2ae5-11dd-a735-00188b4c0af8. A pdf outlining the structure and hierarchy of all metadata records relating to this project is available to download through this record. Also available is a pdf of a published working paper documenting this experiment and the results.

During 1980, a seismic-reflection survey utilizing Uniboom seismics was conducted by the U.S. Geological Survey (USGS) in western Rhode Island Sound aboard the Research Vessel Neecho. This cruise consisted of 2 legs totalling 8 survey days. Data from this survey were recorded in analog form and archived at the USGS. As a result of recent interest in the geology of Rhode Island Sound and in an effort to make the data more readily accessible while preserving the original paper records, the seismic data from this cruise were scanned and converted to TIFF images and SEG-Y data files. Navigation data were converted from LORAN-C time delays to latitudes and longitudes, which are available in ESRI shapefile format and as eastings and northings in space-delimited text format.

Data products and in situ oceanographic data collected in response to the Deepwater Horizon Event in the Gulf of Mexico (May 2010). The Global Temperature and Salinity Profile Programme (GTSPP) received the near-realtime data as TESAC messages for GLIDERs from the Global Telecommunication System (GTS). The data are available in three formats, CSV (comma separated value), NetCDF (network common data form) and the GTSPP ASCII formats. An inventory file is available, including plots of each vertical profile. A .kml file is available for Google Earth display. This data collection is updated weekly by automated processes performed by NODC. Select the version of the data with the largest version number to ensure downloading the most recent data available from NODC.

Weekly report of the number of clients connected to public wifi locations in San Mateo County. Data includes the amount of data sent and received by each access point.

CTD data from R/V Håkon Mosby collected on regular IMR cruises in Norwegian waters. Data from the University of Bergen or other institutes using the ship may also be included in the dataset.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

In 2016, non-interpretive streamflow statistics were compiled for streamgages located throughout the Nation and stored in the StreamStatsDB database for use with StreamStats and other applications. Two previously published USGS computer programs that were designed to help calculate streamflow statistics were updated to better support StreamStats as part of this effort. These programs are named “GNWISQ” (Get National Water Information System Streamflow (Q) files) and “QSTATS” (Streamflow (Q) Statistics). Statistics for 20,438 streamgages that had 1 or more complete years of record during water years 1901 through 2015 were calculated from daily mean streamflow data; 19,415 of these streamgages were within the conterminous United States. About 89 percent of the 20,438 streamgages had 3 or more years of record, and 65 percent had 10 or more years of record. Drainage areas of the 20,438 streamgages ranged from 0.01 to 1,144,500 square miles. The magnitude of annual average streamflow yields (streamflow per square mile) for these streamgages varied by almost six orders of magnitude, from 0.000029 to 34 cubic feet per second per square mile. About 64 percent of these streamgages did not have any zero-flow days during their available period of record. The 18,122 streamgages with 3 or more years of record were included in the StreamStatsDB compilation so they would be available via the StreamStats interface for user-selected streamgages.

Zooplankton data were collected using net casts from NOAA Ship DISCOVERER and NOAA Ship SURVEYOR in the lower Cook inlet from 05 May 1976 to 30 August 1976. Data were collected by the Pacific Marine Environmental Laboratory (PMEL) with support from the Outer Continental Shelf Environmental Assessment Program (OCSEAP) project.

NCEI Accession 0171454 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). UNCW - Coastal Ocean Research and Monitoring Program collected the data from their in-situ moored station named Onslow Bay Outer, NC, in the North Atlantic Ocean. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from UNCW - Coastal Ocean Research and Monitoring Program and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.

Groundwater is often supersaturated in greenhouse gases (GHGs; i.e. CO2, CH4, N2O) and delivers these gasses to stream channels where they are either emitted, consumed, or transported downstream. However, areas of relatively spatially-focused (‘preferential’) groundwater discharge may also be located above the waterline and be immediate sources of GHGs to the atmosphere before moving down the streambank and mixing with surface waters. The rate at which groundwater discharges from exposed streambanks may alter the amount of instantaneous emissions that occur at preferential groundwater discharge zones. To quantify vertical groundwater flux rates from exposed preferential groundwater discharge points along exposed streambanks, we deployed temperature loggers (iButton #DS1922L, Maxim Integrated, Inc., San Jose, CA, USA) in vertical profilers into thermally-identified groundwater discharge points along streambanks at two sites within the Farmington River watershed (northwestern CT ...

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying _location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

The U.S. Geological Survey (USGS) Coral Reef Ecosystems Studies (CREST) project (https://coastal.er.usgs.gov/crest/) provides science that helps resource managers tasked with the stewardship of coral reef resources. Coral reef organisms are very sensitive to high and low water-temperature extremes. It is critical to precisely know water temperatures experienced by corals and associated plants and animals that live in the dynamic nearshore environment to document thresholds in temperature tolerance. This dataset provides underwater temperature data recorded every fifteen minutes from 2009 to 2018 at five off-shore coral reefs in the Florida Keys, USA. From northeast to southwest, these sites are Fowey Rocks (Biscayne National Park), Molasses Reef (Florida Keys National Marine Sanctuary, FKNMS), Crocker Reef (FKNMS), Sombrero Reef (FKNMS), and Pulaski Shoal (Dry Tortugas National Park). A portion of the dataset included here was interpreted in conjunction with coral and algal calcification rates in Kuffner and others (2013).

NOAA Ship Pisces conducted a survey of reef fish located on the U.S. continental shelf and shelf-edge of the GOM from April 1 through June 3, 2019. 47 blocks were selected for sampling with spherical stereo/video cameras, bandit reels and CTD during daylight hours; 25 in the western GOM and 22 in the eastern GOM. Individual sampling sites within each block were supplied prior to sailing. Mapping was conducted at night at randomly selected areas near the following or previous day’s sampling.

In October of 2002, the U.S. Geological Survey (USGS), in cooperation with the Florida Geological Survey (FGS), conducted a geophysical survey of the Atlantic Ocean offshore Nassau and Duval Counties in northeast Florida, from the northern tip of Amelia Island to Jacksonville Beach. This report serves as an archive of unprocessed digital boomer seismic reflection data, trackline maps, navigation files, GIS files, and formal Federal Geographic Data Committee (FGDC) metadata. Filtered and gained digital images of the seismic profiles are also provided. The archived trace data are in standard Society of Exploration Geophysicists SEG Y format (rev. 0) (Barry and others, 1975) and may be downloaded and processed with commercial or public domain software such as Seismic Unix (SU). Example SU processing scripts and USGS software for viewing the SEG Y files (Zihlman, 1992) are also provided. These data are also available for viewing using GeoMapApp (http://www.geomapapp.org/) and Virtual ...

An Ellipsoidally Referenced Survey (ERS) using two Teledyne Reson SeaBat T50-P multibeam echosounders, in dual-head configuration, was conducted by the U.S Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) at Crocker Reef, the Florida Keys March 8-15, 2018. This dataset, Crocker_2018_MBB_xyz.zip, includes the processed elevation point data (x,y,z), as derived from a 1-meter (m) bathymetric grid.

In July 1992 soils were sampled from six dune fields in the northern Lower Peninsula of Michigan near Wilderness State Park, about 10 miles southwest of Mackinaw City. The dune fields represent a soil chronosequence, where all soil forming factors except time are held constant (climate, organisms, relief, and parent material). These sandy lake terrace soils are Entisols and Spodosols (Podzols), with ages ranging from 3,000 to 11,000 years. The samples were collected to examine podzolization and associated changes in soil properties. Samples collected for this study were assigned categorical profile and layer level descriptions for observable qualities such as soil color, structure, and texture at the time of collection. In addition to these descriptive data, this data release contains major element abundances quantified by x-ray fluorescence, select trace element abundances quantified by instrumental neutron activation analysis, and total carbon concentrations. Scanned field notes ...