cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/f76q1vgq
title: Side-Looking Airborne Radar (SLAR)

description: The Side-Looking Airborne Radar (SLAR) is an image-producing system that derives its name from the fact that the radar beam is transmitted from the side of the aircraft during data acquisition. SLAR is an active sensor; the system provides its own source of illumination in the form of microwave energy. Consequently, imagery can be obtained either day or night. Since microwave energy penetrates most clouds, SLAR can be used to prepare image maps of cloud-covered areas. Data are X-band synthetic aperture radar (horizontally transmitted, horizontally received) with the exception of some test sites. Since the radar signal is transmitted at a depressional angle below the horizontal plane in which the aircraft is flying, the signal strikes the terrain at an oblique angle, and the surficial expression of the geologic structure may thus be enhanced. The topographic expression of some surface features, such as subtle faults and folds, may be more clearly seen on radar imagery than on conventional aerial photographs or satellite images. SLAR projects were contracted on a yearly basis and multiple contractors were involved in processing and delivering data to the USGS. The SLAR project areas corresponded to one or more 1:250,000-scale topographic maps. Each 1:250,000-scale area is generally 1 by 2 degrees for the conterminous U.S. and 1 by 3 degrees for Alaska. The 1:100,000-scale mosaic products are enlarged from one quarter (NE, SE, SW, or NW) of the 1:250,000-scale mosaics. The source data for the SLAR Mosaics were acquired between 1980 and 1994. Near Range has shorter shadow, better detail, shows vegetation and flat lands. Far Range has more exaggerated shadow. It shows elevations of land and relief better than near range. SLAR products available from the USGS include radar mosaics of most of the project areas. Coverage exists over 25% of conterminous United States and covers more than 10% of Alaska.
DOI: 10.5066/f79g5k8r
title: SRTM Water Body Dataset

description: The SRTM Water Body Data files are a by-product of the data editing performed by the National Geospatial-Intelligence Agency (NGA) to produce the finished SRTM Digital Terrain Elevation Data Level 2 (DTED 2). In accordance with the DTED 2 specification, the terrain elevation data have been edited to portray water bodies that meet minimum capture criteria. Ocean, lake and river shorelines were identified and delineated. Lake elevations were set to a constant value. Ocean elevations were set to zero. Rivers were stepped down monotonically to maintain proper flow. After this processing was done, the shorelines from the one arc second (approx. 30-meter) DTED 2 were saved as vectors in ESRI 3-D Shapefile format. In most cases, two orthorectified image mosaics (one for ascending passes and one for descending passes) at a one arc second resolution were available for identifying water bodies and delineating shorelines in each 1 x1 cell. These were used as the primary source for water body editing. The guiding principle for this editing was that water must be depicted as it was in February 2000 at the time of the shuttle flight. A Landcover water layer and medium-scale maps and charts were used as supplemental data sources, generally as supporting evidence for water identified in the image mosaics. Since the Landcover water layer was derived mostly from Landsat 5 data collected a decade earlier than the Shuttle mission and the map sources had similar currency problems, there were significant seasonal and temporal differences between the depiction of water in the ancillary sources and the actual extent of water bodies in February 2000 in many instances. In rare cases, where the SRTM image mosaics were missing or unusable, Landcover was used to delineate the water in the SRTM cells. The DTED header records for those cells are documented accordingly.
DOI: 10.5066/f7bg2m7w
title: Public Affairs Office (PAO) Image Gallery

description: The Public Affairs Office (PAO) Image Gallery collection contains a wide variety of images ranging from low altitude aircraft to satellite and NASA imagery. The collection includes historical imagery from multiple data systems used in publications, posters, and special projects over decades of EROS science. A majority of these images were archived on film media. The PAO film records were scanned, indexed and are searchable for no-cost downloads to the science community, educators and general public. Also included in this collection are the Earth As Art 1, 2, and 3 collections, Landsat State mosaics, and State elevation mosaics. Each PAO image tells a different story of natural disasters, the natural beauty of Earth phenomena, and unique perspectives of rivers, lakes, seas, mountains, icebergs around the world. The Earth As Art collections were developed for their aesthetic beauty rather than scientific interpretation - http://eros.usgs.gov/imagegallery. Over time, the PAO will continue to grow as data sets from the Image of the Week are added and additional film images are scanned for data access. The Image of the Week posters are scientific observations that highlight current conditions or changes in water resources and land cover over time - http://eros.usgs.gov/imagegallery/image-week- 2. Downloads are available in TIFF (Tagged Image File Format). Approximate coordinates have been identified for this collection; images have not been georeferenced and no map projection or datum information is provided.
DOI: 10.5066/f7cf9ncq
title: Advanced Solid-state Array Spectroradiometer

description: The Advanced Solid-state Array Spectroradiometer (ASAS) data collection contains data collected by the ASAS sensor flown aboard NASA aircraft. A fundamental use of ASAS data is to characterize and understand the directional variability in solar energy scattered by various land surface cover types (e.g.,crops, forests, prairie grass, snow, or bare soil). The sensor's Bidirectional Reflectance Distribution Function determines the variation in the reflectance of a surface as a function of both the view zenith angle and solar illumination angle.
DOI: 10.5066/f7fb51gp
title: AVHRR Remote Sensing Phenology

description: The Remote Sensing Phenology (RSP) collection is a set of nine annual phenological metrics for the conterminous United States. Researchers at the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center utilize data gathered by satellite sensors to track seasonal changes in vegetation. The two satellite sensors that provide the raw data for the RSP program are the Advanced Very High Resolution Radiometer (AVHRR) from National Oceanic and Atmospheric Administration (NOAA) polar-orbiting satellites and the Moderate Resolution Imaging Spectroradiometer (MODIS) carried aboard National Aeronautics and Space Administration (NASA) Terra and Aqua satellites. The satellite data are initially transformed into Normalized Difference Vegetation Index (NDVI) values. AVHRR NDVI and eMODIS NDVI provide the foundation for RSP. Time-series NDVI can be summarized and analyzed to produce nine key phenological indicators that represent a complete growing season. These data represent a powerful tool for documenting plant life-cycle trends over time and detecting the impacts of climate change on ecosystems. Remote Sensing Phenology Products Remote Sensing Phenology products are available in two file formats with geographic coordinates referenced to the Lambert Azimuthal Equal Area mapping grid: Georeferenced Tagged Image File Format (GeoTIFF) is a TIFF file with embedded geographic information. This is a standard image format for GIS applications. Band Sequential (BSQ) image file is a binary raster format with an accompanying header file which describes the layout and formatting of the file. EarthExplorer offers a year-to-year record of AVHRR Phenology data at 1-km resolution dating back to 1989 and eMODIS Phenology data at 250-m resolution dating back to 2001. Nine annual historical Remote Sensing Phenology metrics for the conterminous United States are available for each data set.
DOI: 10.5066/f7g73bz6
title: South Dakota Natural Resources Conservation Service (NRCS)

description: The South Dakota Natural Resources Conservation Service (NRCS) Farm Service Agency (FSA) Section Photography collection consists of natural color aerial images acquired by a 35mm camera systems over 33 counties in eastern South Dakota. FSA contracted yearly aerial photography from 1979 through 2002 during the agricultural growing season to monitor compliance with agricultural conservation programs. The program focused on cropland compliance, although other land use types were often captured. The collection of 35mm aerial slides covered a single one-mile square section for images captured from 1979 through 1992 and two one-mile square sections for 1993 through 2002. The sections are based on the Public Land Survey System and are searchable in EarthExplorer. In EarthExplorer the 'Additional Criteria' tab provides additional search options for county, township, range, and section. Digital Products The 35 mm color slide scanning project in South Dakota was coordinated by the NRCS to archive the hardcopy slides in an electronic format for wetland determinations, conservation planning, soil surveying, and other resource management activities. The 35mm slides were scanned at 2500 dpi or 4000 dpi and saved in TIFF format and earlier scans were saved as JPEG's. Images were scanned as they appear on the photographic slide. Since the slides were acquired by a variety of vendors, sometimes from a noticeably oblique angle, the amount of buffer on all four sides and quality of original photography varies by image. In most cases images are oriented North up; there may be a few exceptions The NRCS 35 mm color slide program was replaced in 2003 by the National Agricultural Imagery Program (NAIP). NAIP continues the NRCS/FSA mission of compliance monitoring as well as serving other needs for yearly aerial flights in collecting digital imagery at one meter or greater resolution. USGS provides data access and is not responsible for the quality or accuracy of the scanned NRCS imagery. Contact Information: NRCS (Natural Resources Conservation Service) South Dakota State Office GIS Branch Federal Building, Room 203 200 4th St SW Huron, SD 57350 Phone Number: 605-352-1200 Toll Free: 800-252-4547 Fax: 855-256-2565 Web: http://www.nrcs.usda.gov/wps/portal/nrcs/site/sd/home/
DOI: 10.5066/f7h70d2j
title: U.S. Antarctic Resource Center - Antarctic Flight Line Maps

description: The Antarctic Flight Line Maps or Flight Indexes are a collection of 1:250,000 scale topographic maps over Antarctica from the U.S. Antarctic Resource Center (USARC). The Antarctic topographic maps have original hand-drawn flight lines for aerial photographic missions. The collection includes over 300 maps and charts that encompass approximately 6,000 flight lines that have been flown over Antarctica by the U.S. Navy since 1946. Flight line maps in digital format allow users to identify flight and frame numbers over their area of interest to facilitate the search for single frame images. The Antarctic maps and charts were produced by the United States and member nations of the Scientific Committee on Antarctic Research (SCAR). The majority of the maps are USGS Antarctica 1:250,000 Reconnaissance Series topographic maps compiled from U.S. Navy aerial photographs. These maps were prepared, edited, and published by the USGS in cooperation with the National Science Foundation. The collection of maps covers 93 regions across Antarctica with multiple versions for areas that have extensive aerial coverage.
DOI: 10.5066/f7j38r0r
title: OrbView-3

description: GeoEyes OrbView-3 satellite was among the worlds first commercial satellites to provide high-resolution imagery from space. OrbView-3 collected one meter panchromatic (black and white) or four meter multispectral (color) imagery at a swath width of 8 km for both sensors. One meter imagery enables more accurate viewing and mapping of houses, automobiles and aircraft, and makes it possible to create precise digital products. Four meter multispectral imagery provides color and near infrared (NIR) information to further characterize cities, rural areas and undeveloped land from space. Imagery from the OrbView-3 satellite complements existing geographic information system (GIS) data for commercial, environmental and national security customers. OrbView-3 orbits 470 km above the Earth in a sun-synchronous polar orbit while collecting imagery of the Earth's surface at one meter resolution in the Panchromatic (black and white) mode, or at four meter resolution in the Multispectral (color) mode with a three day repeat cycle. The U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) received 179,981 OrbView-3 image segments from GeoEye with no restrictions. The data were delivered in Basic Enhanced (Level 1B) radiometrically corrected format. The product files include satellite telemetry data, rational functions, post-processed Ground Sample Distance (GPS) at nadir data, and sufficient metadata for rigorous triangulation. The data in this collection were acquired between September 2003 and March 2007, from the multispectral (MS) and panchromatic (Pan) sensors. Over 84% of the Orbview-3 collection is PAN (black & white).
DOI: 10.5066/f7j9658m
title: Fiber-optic distributed temperature data collected along the streambed of the East River, Crested Butte, CO, USA

description: The data set includes temperature data from the base of the water column along the sediment interface of the East River near Crested Butte, Colorado, USA, in support of ongoing study regarding groundwater/surface water exchange. The data were collected from 08/09/2016 to 08/31/2016 using a fiber-optic distributed temperature sensing system that has 1.01 m spatial resolution along the linear fiber-optic cable. During data analysis, the original 10 min measurments were averaged (arithmetic mean) for the entire period to potentially indicate colder groundwater inflows. Additionally, the standard devation for the entire measurement period for each distance along the cable was calculated to indicate buffered zones (reduced temperature standard deviation) that might result from upward water flow through the streambed. Citation: Briggs, M.A., Pai, H., Malenda, H., Randell, J., Singha, K., Tyler, S. and Williams, K., 2017, Fiber-optic distributed temperature data collected along the streambed of the East River, Crested Butte, CO, USA: U.S. Geological Survey data release, https://doi.org/10.5066/F7J9658M
DOI: 10.5066/f7k0737x
title: ISS SERVIR Environmental Research and Visualization System (ISERV)

description: The ISS SERVIR Environmental Research and Visualization System (ISERV) was an automated system designed to acquire over 40,000 images of the Earth's surface from February 2013 to December 2014. SERVIR is a Spanish acronym meaning "to serve". The goal was to improve automatic image capturing and data transfer. The images taken will help environmental scientists, disaster responders and other Earth-based users. ISERV's main component was the optical assembly which consisted of a 9.25 inch Schmidt-Cassegrain telescope, a focal reducer (field of view enlarger), a digital single lens reflex camera, and a high precision focusing mechanism. A motorized 2-axis pointing mount allowed pointing at targets approximately 23 degrees from nadir in both along- and across-track directions. The ISERV captured 3 images per second that cover approximately a 19 km x 11 km area.
DOI: 10.5066/f7m32tqb
title: Global Land Survey

description: The U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) collaborated from 2009 to 2011 to create the Global Land Surveys (GLS) datasets. Each of these collections were created using the primary Landsat sensor in use at the time for each collection epoch. The scenes used were a pre-collection format that met strict quality and cloud cover standards at the time the GLS files were created. Additional details about the Global Land Survey collection can be found at http://landsat.usgs.gov/global-land-surveys-gls. The Global Land Survey collection consists of images acquired from 1972 to 2012 combined into one dataset. All Global Land Survey datasets contain the standard Landsat bands designated for each sensor. Band Designations can be found at http://landsat.usgs.gov/what-are-band-designations-landsat-satellites.
DOI: 10.5066/f7qv3kg6
title: Earth Observing One (EO-1) - ALI

description: The Earth-Observing One (EO-1) satellite has been decommissioned. The EO-1 satellite was launched on November 21, 2000 with the NASA's New Millennium Program (NMP). The NMP was an advanced-technology development program created a new generation of technologies and mission concepts into future Earth and space science missions. For more information on the final phase of the EO-1 mission go to: https://eo1.gsfc.nasa.gov/EO-1%20Phase-F%20Report%2020160617%20Final.docx. All EO-1 ALI and Hyperion historical data will continue to be available through EarthExplorer for the foreseeable future. EO-1 Product Description The Earth Observing-1 (EO-1) satellite was launched November 21, 2000 as a one-year technology demonstration/validation mission. After the initial technology mission was completed, NASA and the USGS agreed to the continuation of the EO-1 program as an Extended Mission. The EO-1 Extended Mission is chartered to collect and distribute Hyperion hyperspectral and Advanced Land Imager (ALI) multispectral products according to customer tasking requests.
DOI: 10.5066/f7rn369n
title: Digital Line Graphs (DLGs) Intermediate-Scale (1:100,000)

description: Intermediate-Scale (1:100,000-scale) DLGs are derived from USGS 30- by 60-minute quadrangle maps and are sold in 30- by 30-minute units that correspond to the east or west half of the topographic quadrangle maps. Each 30-minute unit is produced and distributed as four 15- by 15-minute cells. They are cast to the UTM projection system and are referenced to either NAD27 or NAD83.
DOI: 10.5066/f7sn07wv
title: Vegetation Drought Response Index (VegDRI)

description: The Vegetation Drought Response Index (VegDRI) is a weekly geospatial model that depicts drought stress on vegetation within the conterminous United States. The development of the VegDRI drought-monitoring tool was a collaborative effort by scientists at the USGS EROS Center, the National Drought Mitigation Center (NDMC) at the University of Nebraska, and the High Plains Regional Climate Center (HPRCC). VegDRI methodology integrates remote sensing data from NASAs Moderate Resolution Imaging Spectroradiometer (MODIS) sensor on the Terra platform with climate and biophysical data to create a seamless product with a 1 km spatial resolution. The satellite components related to general vegetation conditions are Percent Annual Seasonal Greenness (PASG) and Start of Season Anomaly (SOSA) data. PASG is calculated weekly from eMODIS Normalized Difference Vegetation Index (NDVI) composites. The climate-based drought data include the Palmer Drought Severity Index (PDSI) and weekly Standardized Precipitation Index (SPI) data from the HPRCC. Climate data identify areas that are experiencing dryness to help distinguish vegetation stress due to drought. The biophysical characteristics of the environment are derived from land use/land cover, soil available water capacity, ecological setting, irrigation status, and elevation data. Environmental stressors such as land use change, soil conditions, pest infestations, disease, hail, flooding, or fire can also influence vegetation conditions. This integrated approach considers climate and biophysical conditions to determine the cause of vegetation stress. This information is incorporated into the calculation of VegDRI to create an easy to interpret, color-coded map of drought stress on vegetation. Drought-monitoring maps are produced every week using the latest information and are usually posted each Monday by 10:30 a.m. CT.
DOI: 10.5066/f7vm4b7c
title: Adopt a Pixel

description: Adopt a Pixel was removed from EarthExplorer, and is no longer available frome EROS. 2013 - 2019 Adopt a Pixel is a citizen science program that engages the public in collecting data, in this case landscape photographs, for scientific research. The science community has easy access to Landsat satellite data but has limited resources for acquiring ground reference photographs to verify land cover type. The goal of Adopt a Pixel is to acquire ground-based photographs to improve satellite data interpretation for operational and research science. Photographs from volunteers provide scientists with ground-based landscape data that would be too expensive or time consuming to acquire by other means. The digital photographs in this collection are provided by volunteers in the field. These images are geospatially referenced manually by the user, or automatically by the acquisition device. A simple, straightforward protocol for collection of scientifically useful ground reference data was developed and field tested in spring and summer 2013. The Landsat Science Team provided input on the protocol to ensure its scientific utility. The Adopt a Pixel collection continues to grow with the help from citizen scientists from across the globe. Volunteers can share their land cover photographs and participate in the program by visiting the USGS Earth Resources Observation and Science (EROS) Center Adopt a Pixel interface (adoptapixel.cr.usgs.gov). Images show the terrain from a single point facing North, South, East, West, Up, and Down to give a clear view of landscape features in all directions. Field observations include land cover classification and any notable comments about conditions, patterns, or changes.
DOI: 10.5066/f7w37tsm
title: High-speed, continuous water quality mapping of Utah Lake, Salt Lake City, UT

description: Real-time, high frequency (1-second sample interval), georeferenced water quality data was collected in Utah Lake, Utah. Utah Lake is located approximately 45 miles south of Salt Lake City, Utah, and approximately 5 miles west of Provo, Utah. Data was collected on 8/1/16 over an approximate 6.5-hour period (8:00 14:30 h PST) while underway. Sample water was continuously pumped through a pickup tube mounted at the stern of the vessel. Sample was pre-filtered using a 178 um in-line strainer, passed through a de-bubbler, and diverted into three parallel flow paths (2 unfiltered, 1 filtered) to various water quality instrumentation. Data was handled by a Campbell Scientific CR-6 data logger and recorded continuously to a Microsoft Excel file. Data was displayed in real-time for quality control. Water quality data was processed using an excel macro designed to remove outliers using a 20 second median, followed by a 30 second average. Data includes timestamped, GPS location (latitude, longitude), temperature, specific conductance, pH, dissolved oxygen concentration and percent saturation, turbidity, fluorescent dissolved organic matter (fDOM), deep ultra violet (UV), 3 channel DOM fluorometer, transmission/attenuation (670 nm), nitrate, in vivo chlorophyll-a fluorescence (fCHLA), and in vivo phycocyanin fluorescence (blue green algae proxy). More detailed description of methods of collection and instrumentation are outlined in Downing et al. 2016. Data were collected in an effort to characterize the spatial distribution of nutrients and phytoplankton productivity and taxonomy across Utah Lake. This data set is the first of its kind on Utah Lake. The data will be useful to research of related of algal species, especially harmful algal blooms and water quality in Utah Lake.
DOI: 10.14469/hpc/3356
title: CLi6 Def2-TZVPPD WFN

description: Gaussian Calculation
DOI: 10.14469/hpc/3358
title: ClMe3 Wiberg Def2-TZVPP

description: Gaussian Calculation
DOI: 10.14469/hpc/3359
title: SMe6 Wiberg Def2-TZVPP

description: Gaussian Calculation
DOI: 10.14469/hpc/3360
title: ClMe3 (2+) Wiberg Def2-TZVPP

description: Gaussian Calculation
DOI: 10.34740/kaggle/dsv/7391009
title: COVID-19 COLOMBIA - Full Dataset DEC-2023