AndreaBozzo/ceres-open-data-index huggingface dataset:
Coastwide Reference Monitoring System (CRMS) 2016 Site 6042 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2016 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Three previous assessments have been conducted (2005, 2008, and 2012). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-5b5f548ce4b006a11f66eba4, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 6038 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2016 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Three previous assessments have been conducted (2005, 2008, and 2012). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-5b5f5487e4b006a11f66eba2, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 6008 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2016 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Three previous assessments have been conducted (2005, 2008, and 2012). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-5b5f5483e4b006a11f66eba0, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Hawaii Island biodiversity trends across time and space, 1977 and 2015

These are the datasets for the Hawaii Forest Bird Survey (HFBS) and the Hawaiian Biodiversity Trends Across Time and Space project that systematically characterized plant and bird communities. The HFBS sampled from transects spanning all major Hawaiian Islands except O‘ahu. This extensive dataset has now been organized into a database and associated geographic information system (GIS) layers. This baseline provides an opportunity to assess how forest ecosystems and their constituent bird and plant populations have changed over time. As part of the HaBiTATS project, a select area on Hawai‘i Island was surveyed in 2015 with the objective of demonstrating the potential of using the HFBS methodology to reassess the status of bird and plant communities across multiple geographic regions and islands. The results of the comparative study presented herein highlight examples of the apparent vulnerability and resiliency of native-dominated Hawaiian ecosystems. Specific study objectives were to: (1) collect information on plant and bird species community composition, abundance, and spatial distribution following the original HFBS methodology; (2) assess changes in several biodiversity metrics; (3) examine changes in the distribution of invasive non-native species as well as changes in land use as potential drivers of native biodiversity patterns, and (4) demonstrate field and data analysis methods that may be applied to a large-scale biodiversity monitoring program.

Tags: biodiversity, biota, climate-change, ecological-drivers, hamakua, hawaii-island, invasive-species, land-use, pacific-ocean, species-composition, state-of-hawaii, usgs-5b95fe4ae4b0702d0e8268c1
Organization: Department of the Interior
Surface Water Observations for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico

This point vector dataset represents the location and identification attributes of stream gages used for surface-water flow and flow-difference observations for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico.

Tags: aquifer, caballo-reservoir, chihuahua, el-paso, elephant-butte-reservoir, elevation, geology, geoscientificinformation, groundwater-pumping, groundwater-system, hydraulic-properties, hydrogeology, hydrology, hydrostratigraphy, inlandwaters, las-cruces, new-mexico, rio-grande, surface-water, texas, transboundary, usgs-5b929d4ce4b0702d0e80a0aa
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 5845 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2016 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Three previous assessments have been conducted (2005, 2008, and 2012). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-5b5f547ee4b006a11f66eb9e, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 5770 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2016 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Three previous assessments have been conducted (2005, 2008, and 2012). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-5b5f5478e4b006a11f66eb9c, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 5672 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2016 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Three previous assessments have been conducted (2005, 2008, and 2012). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-5b5f5472e4b006a11f66eb9a, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 5536 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2016 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Three previous assessments have been conducted (2005, 2008, and 2012). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-5b5f546ee4b006a11f66eb98, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Depth grids of the flood-inundation maps for the Meramec River at Arnold, Missouri, 2018

Digital flood-inundation maps for a 9.5-mile reach of the Meramec River at Arnold, Missouri, were created by the U.S. Geological Survey (USGS) in cooperation with the United States Army Corps of Engineers, St. Louis Metropolitan Sewer District, Missouri Department of Transportation, Missouri American Water, Federal Emergency Management Agency Region 7, the City of Pacific, the City of Eureka, the City of Wildwood, and the City of Arnold.  The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Meramec River at Arnold, Missouri (station number 07019300).  Near-real-time stages at this streamgage may be obtained on the Internet from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at http://water.weather.gov/ahps/, which also forecasts flood hydrographs at this site.
Flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model.  The model was calibrated using the current stage-discharge relation at the Meramec River near Eureka streamgage and documented high-water marks from the floods of December 30, 2015.
The hydraulic model was then used to compute 136 water-surface profiles for combinations of 8 different Mississippi River water surface elevations and flood stages at 1-foot (ft) intervals referenced to the streamgage datum and ranging from 22 ft or near bankfull to 51 ft, which exceeds the stage that corresponds to the maximum recorded peak flow.
The simulated water-surface profiles were then combined with a Geographic Information System digital elevation model (derived from light detection and ranging (lidar) data having a 0.5-ft vertical accuracy and 3.28-ft horizontal resolution) to delineate the area flooded at each water level. 
The availability of these maps, along with Internet information regarding current stage from the USGS streamgage and forecasted high-flow stages from the NWS, will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post flood recovery efforts.

Tags: arnold, eureka, fenton, flood-inundation-maps, flooded-area, floods, geospatial-analysis, high-water-marks, meramec-river, missouri, river-stream, usgs-5b96a2dee4b0702d0e826b95, valley-park
Organization: Department of the Interior
Stream Segments for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico

This line vector dataset represents the Rio Grande, engineered surface-water conveyance structures (canals, laterals, drains, and wasteways), diversions to water-balance subregions (WBS), and the Las Cruces Arroyo segments simulated with the Streamflow-Routing (SFR) Package for MODFLOW-One-Water Hydrologic Flow Model in the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM).

Tags: aquifer, caballo-reservoir, chihuahua, el-paso, elephant-butte-reservoir, elevation, geology, geoscientificinformation, groundwater-pumping, groundwater-system, hydraulic-properties, hydrogeology, hydrology, hydrostratigraphy, inlandwaters, las-cruces, new-mexico, rio-grande, surface-water, texas, transboundary, usgs-5b929d16e4b0702d0e80a0a6
Organization: Department of the Interior
Climate Stations for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico

This point vector dataset represents 10 climate stations used for analysis of annual and seasonal precipitation, analysis of monthly measured reference evapotranspiration, and comparison of simulated potential evapotranspiration with measured reference evapotranspiration within the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico.

Tags: aquifer, caballo-reservoir, chihuahua, climate-station, el-paso, elephant-butte-reservoir, elevation, geology, geoscientificinformation, groundwater-pumping, groundwater-system, hydraulic-properties, hydrogeology, hydrology, hydrostratigraphy, inlandwaters, las-cruces, new-mexico, rio-grande, texas, transboundary, usgs-5b91c3f1e4b0702d0e809291
Organization: Department of the Interior
Hydrologic, biogeochemical, and radon data collected within and adjacent to the Little Wind River near Riverton, Wyoming (ver. 1.1, January 2019)

The U.S. Geological Survey, in collaboration with the Department of Energy, University of Montana, Northern Arapaho Tribe, and Liverpool John Moores University, is studying the interaction of a contaminated groundwater plume enriched in uranium and other trace elements with water, sediment, and biota along a 3 km reach of the Little Wind River in central Wyoming. The source of the contaminants is from a reclaimed uranium mill site near Riverton, Wyoming. This Data Release makes available data collected from June to September, 2016 and August to September, 2017. Data collected during these time periods include: (1) radon, major-ion, and trace-element concentrations in surface-water, groundwater, and pore-water samples; (2) environmental tracers in groundwater and surface-water samples; (3) seepage rates of shallow groundwater into the Little Wind River; (4) streambed temperature; (5) distribution of uranium in bed sediment, macroalgae, and aquatic insect taxa; (6) river discharge at three sites along the study reach, (7) major-ion and trace-element concentrations in shallow sediment cores collected from the streambed; (8) periphyton biomass accrual on ceramic plates during a 2-week deployment period; and (9) uranium and molybdenum concentration in periphyton samples collected from sites within the study reach.

Tags: fremont-county, groundwater-and-surface-water-interaction, riverton-wyoming, usgs-5b91b3cae4b0702d0e808be0
Organization: Department of the Interior