AndreaBozzo/ceres-open-data-index huggingface dataset:
2010 Phalaris arundinacea (Reed canarygrass) mapped locations within pools 2-13 of the Upper Mississippi River System

Aerial photographs for Pools 2-13 Upper Mississippi River System  were collected in color infrared (CIR) in August of 2010 at 8”/pixel and 16”/pixel respectively using a mapping-grade Applanix DSS 439 digital aerial camera. All CIR aerial photos were orthorectified, mosaicked, compressed, and served via the UMESC Internet site. The CIR aerial photos were interpreted and automated using a 31-class LTRM vegetation classification. The 2010 LCU databases were prepared by or under the supervision of competent and trained professional staff using documented standard operated procedures and are subject to rigorous quality control (QC) assurances (NBS, 1995).
The 2010/2011 land cover/land use spatial data sets for pools 2 - 13 were combined into one data set for this updated product and only wet meadow and wet meadow shrub polygons were retained.  The aerial images underlying these polygons were visually re-interpreted to ascertain if &gt;80% of the polygon was dominated by Phalaris arundinacea (Reed canarygrass). Polygons were then attributed with information categorizing them accordingly.

Tags: aerial-photography, arundinacea, floodplain, floodplain-forest-mapping, floodplain-mapping, land-cover, lc-lu, lcu, mississippi-river, phalaris, reed-canarygrass, river-mapping, upper-mississippi-river, usgs-594c07e3e4b062508e3853b6, vegetation-mapping, wetlands-mapping
Organization: Department of the Interior
Air-water temperature data for the study of groundwater influence on stream thermal regimes in Shenandoah National Park, Virginia (Ver. 2.0, May 2018)

This database contains hourly water and air temperature data from 120 site locations within 17 watersheds in Shenandoah National Park, Virginia between June 23,2012 and October 25, 2016. The database includes three separate table files (i.e, entities) in csv format: 1) Water temperature data, 2) air temperature data, and 3) site location data. All temperature data were collected using HOBO Pro V2 thermographs (accuracy = 0.2 degrees Celsius, drift = &lt;0.1 degrees Celsius per year per year). These raw data were summarized to mean daily air and water temperatures for the analysis used in Johnson et al. (cited above).

Tags: headwater-streams, usgs-594bdc88e4b062508e385039, water-temperature
Organization: Department of the Interior
Geodatabase containing bathymetric and LiDAR data for DeQueen Lake, Sevier County, Arkansas, 2015.

A bathymetric survey of DeQueen Lake, Sevier County, Arkansas was conducted in July, 2015, by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for multi-beam sonar surveys similar to those described by Lee, K.G. (2013) and Huizinga (2016).  XYZ (point) data from the bathymetric survey were merged with XYZ (point) data from an aerial LiDAR survey conducted in March, 2008 for the U.S. Army Corps of Engineers, Little Rock District and stored in a feature dataset within the geodatabase.  A terrain (digital terrain model, or DTM) of the lakebed below flood pool elevation 474 ft above the North American Vertical Datum of 1988 (NAVD88) was created from the XYZ (point) data and stored in the geodatabase.  Child items derived from the DTM and stored in the geodatabase include a digital elevation model (DEM) in Esri GRID format with a cell size of 3 ft, a feature class of elevation contours at 10-ft intervals, a table of surface area and storage capacity (volume) of the lake at 1-ft increments in water surface elevation, and a python script used to incrementally compute the storage capacity.  References:  Lee, K.G., 2013, Estimation of reservoir storage capacity using multibeam sonar and terrestrial LiDAR, Randy Poynter Lake, Rockdale County, Georgia, 2012: U.S. Geological Survey Scientific Investigations Map 3265, 1 sheet, https://pubs.usgs.gov/sim/3265/; Huizinga, R.J., 2016, Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River near Kansas City, Missouri, June 2–4, 2015: U.S. Geological Survey Scientific Investigations Report 2016–5061, 93 p., http://dx.doi.org/10.3133/sir20165061.

Tags: bathymetry, dem, dtm, lidar, limnology, multi-beam, sonar, storage, usgs-594aa236e4b062508e36f438
Organization: Department of the Interior
Digital elevation model (DEM) of DeQueen Lake, Sevier County, Arkansas, derived from 2015 terrain dataset.

The dataset is a digital elevation model (DEM), in GeoTiff format, of the bathymetry of DeQueen Lake, Sevier County, Arkansas, below a pool elevation of 474 ft above the North American Vertical Datum of 1988 (NAVD88).  The DEM was derived from a terrain (digital terrain model, or DTM) created from a feature dataset of XYZ (point) data from an aerial LiDAR survey conducted in March, 2008 for the U.S. Army Corps of Engineers, Little Rock District, and a bathymetric survey conducted in July, 2015, by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for multi-beam sonar surveys similar to those described by Lee, K.G. (2013) and Huizinga (2016).  References:  Lee, K.G., 2013, Estimation of reservoir storage capacity using multibeam sonar and terrestrial LiDAR, Randy Poynter Lake, Rockdale County, Georgia, 2012: U.S. Geological Survey Scientific Investigations Map 3265, 1 sheet, https://pubs.usgs.gov/sim/3265/; Huizinga, R.J., 2016, Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River near Kansas City, Missouri, June 2–4, 2015: U.S. Geological Survey Scientific Investigations Report 2016–5061, 93 p., http://dx.doi.org/10.3133/sir20165061.

Tags: bathymetry, dem, dtm, lidar, limnology, multi-beam, sonar, usgs-594a9ad9e4b062508e36f40e
Organization: Department of the Interior
Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term End Point Rate Calculations for the Sheltered East Chukchi Sea coast of Alaska between Point Barrow and Icy Cape

This dataset consists of short-term (~33 years) shoreline change rates for the north coast of Alaska between Point Barrow and Icy Cape. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using an end point rate-of-change method based on available shoreline data between 1979 and 2012. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. Transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.

Tags: arctic, barrow, chukchi-sea, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, habitat, national-assessment-of-coastal-change-hazards, national-assessment-of-shoreline-change-project, national-petroleum-reserve-alaska, north-slope, npr-a, oceans, pacific-coastal-and-marine-science-center, pcmsc, shoreline, shoreline-accretion, shoreline-change, shoreline-erosion, state-of-alaska, u-s-geological-survey, united-states-of-america, usgs, usgs-5949c79ee4b062508e359c18, utqiagvik, wainwright
Organization: Department of the Interior
Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Exposed East Chukchi Sea coast of Alaska between the Point Barrow and Icy Cape

This dataset consists of short-term (~31 years) shoreline change rates for the north coast of Alaska between the Point Barrow and Icy Cape. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1979 and 2010. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.

Tags: arctic, barrow, chukchi-sea, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, habitat, national-assessment-of-coastal-change-hazards, national-assessment-of-shoreline-change-project, national-petroleum-reserve-alaska, north-slope, npr-a, oceans, pacific-coastal-and-marine-science-center, pcmsc, shoreline, shoreline-accretion, shoreline-change, shoreline-erosion, state-of-alaska, u-s-geological-survey, united-states-of-america, usgs, usgs-5949c756e4b062508e359c16, utqiagvik, wainwright
Organization: Department of the Interior
Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Exposed West Beaufort Sea coast of Alaska between the Colville River and Point Barrow

This dataset consists of short-term (~33 years) shoreline change rates for the north coast of Alaska between the Colville River and Point Barrow. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1979 and 2012. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.

Tags: arctic, beaufort-sea, cape-halkett, cmgp, coastal-and-marine-geology-program, coastal-processes, colville-river, dease-inlet, digital-shoreline-analysis-system, drew-point, dsas, elson-lagoon, environment, geoscientificinformation, habitat, harrison-bay, national-assessment-of-coastal-change-hazards, national-assessment-of-shoreline-change-project, national-petroleum-reserve-alaska, north-slope, npr-a, oceans, pacific-coastal-and-marine-science-center, pcmsc, point-barrow, shoreline, shoreline-accretion, shoreline-change, shoreline-erosion, smith-bay, state-of-alaska, u-s-geological-survey, united-states-of-america, usgs, usgs-5949c59de4b062508e359c10
Organization: Department of the Interior
Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Sheltered East Beaufort Sea coast of Alaska between the U.S. Canadian Border and the Hulahula River

This dataset consists of short-term (~32 years) shoreline change rates for the north coast of Alaska between the U.S. Canadian Border and the Hulahula River. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1978 and 2010. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.

Tags: anwr, arctic, arctic-national-wildlife-refuge, barter-island, beaufort-sea, cmgp, coastal-and-marine-geology-program, coastal-processes, demarcation-bay, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, habitat, hulahula-river, jago-river, kaktovik, national-assessment-of-coastal-change-hazards, national-assessment-of-shoreline-change-project, north-slope, oceans, okpilak-river, pacific-coastal-and-marine-science-center, pcmsc, shoreline, shoreline-accretion, shoreline-change, shoreline-erosion, state-of-alaska, u-s-geological-survey, united-states-of-america, usgs, usgs-5949c567e4b062508e359c0e
Organization: Department of the Interior
Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Exposed East Beaufort Sea coast of Alaska between the U.S. Canadian Border and the Hulahula River

This dataset consists of short-term (~32 years) shoreline change rates for the north coast of Alaska between the U.S. Canadian Border and the Hulahula River. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1978 and 2010. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.

Tags: anwr, arctic, arctic-national-wildlife-refuge, barter-island, beaufort-sea, cmgp, coastal-and-marine-geology-program, coastal-processes, demarcation-bay, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, habitat, hulahula-river, jago-river, kaktovik, national-assessment-of-coastal-change-hazards, national-assessment-of-shoreline-change-project, north-slope, oceans, okpilak-river, pacific-coastal-and-marine-science-center, pcmsc, shoreline, shoreline-accretion, shoreline-change, shoreline-erosion, state-of-alaska, u-s-geological-survey, united-states-of-america, usgs, usgs-5949c545e4b062508e359c0c
Organization: Department of the Interior
Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Sheltered Central Beaufort Sea coast of Alaska between the Hulahula River and the Colville River

This dataset consists of short-term (~31 years) shoreline change rates for the north coast of Alaska between the Hulahula River and the Colville River. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1979 and 2010. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.

Tags: anwr, arctic, arctic-national-wildlife-refuge, beaufort-sea, canning-river, cmgp, coastal-and-marine-geology-program, coastal-processes, colville-river, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, habitat, harrison-bay, kuparuk-river, national-assessment-of-coastal-change-hazards, national-assessment-of-shoreline-change-project, north-slope, oceans, pacific-coastal-and-marine-science-center, pcmsc, prudhoe-bay, sagavanirktok-river, shoreline, shoreline-accretion, shoreline-change, shoreline-erosion, staines-river, state-of-alaska, u-s-geological-survey, united-states-of-america, usgs, usgs-5949c4e7e4b062508e359c0a
Organization: Department of the Interior
Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Exposed Central Beaufort Sea coast of Alaska between the Hulahula River and the Colville River

This dataset consists of short-term (~31 years) shoreline change rates for the north coast of Alaska between the Hulahula River and the Colville River. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1979 and 2010. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.

Tags: anwr, arctic, arctic-national-wildlife-refuge, beaufort-sea, canning-river, cmgp, coastal-and-marine-geology-program, coastal-processes, colville-river, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, habitat, harrison-bay, kuparuk-river, national-assessment-of-coastal-change-hazards, national-assessment-of-shoreline-change-project, north-slope, oceans, pacific-coastal-and-marine-science-center, pcmsc, prudhoe-bay, sagavanirktok-river, shoreline, shoreline-accretion, shoreline-change, shoreline-erosion, staines-river, state-of-alaska, u-s-geological-survey, united-states-of-america, usgs, usgs-5949c4c7e4b062508e359c08
Organization: Department of the Interior
E. coli dataset at from the Outfall of the Nogales International Wastewater Treatment Plant, geographic NAD83 (Water Years 2009–2015)

This dataset contains E. coli data collected at the Outfall of the Nogales International Wastewater Treatment Plant (NIWTP; SC6, 312724110580501) by U.S. International Boundary and Water Commission (IBWC) personnel. The IBWC collects discrete samples at the Outfall of the NIWTP daily or weekly by dipping a 100 mL sterilized IDEXX bottle in the centroid of flow. Samples are kept chilled and shipped to Turner Laboratories Inc. or Legend Technical Services Inc. Both laboratories use standard method 9223B for E. coli analysis, which uses the Colilert™-24 (Colilert) and Quanti-Tray®/2000 (Quanti-Tray) system. The holding time specified for wastewater is 30 hours. The dataset is a compilation of multiple paper records. E.coli concentrations reported as 0 most probable number (MPN) per100 mL were qualified as less than the 1 MPN/100mL specified by the Colilert test. The datasest includes E. coli concentration data for the period of June 01, 2009 to March 31, 2015.

Tags: dna, e-coli, escherichia-coli, stage, tumacacori-national-historical-park, upper-santa-cruz-river, usgs-59499bece4b062508e359bd6, water, water-quality
Organization: Department of the Interior
Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Long-Term Linear Regression Rate Calculations for the Sheltered West Beaufort Sea coast of Alaska between the Colville River and Point Barrow

This dataset consists of long-term (~65 years) shoreline change rates for the north coast of Alaska between the Colville River and Point Barrow. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Long-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1947 and 2012. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate long-term rates.

Tags: arctic, beaufort-sea, cape-halkett, cmgp, coastal-and-marine-geology-program, coastal-processes, colville-river, dease-inlet, digital-shoreline-analysis-system, drew-point, dsas, elson-lagoon, environment, geoscientificinformation, habitat, harrison-bay, national-assessment-of-coastal-change-hazards, national-assessment-of-shoreline-change-project, national-petroleum-reserve-alaska, north-slope, npr-a, oceans, pacific-coastal-and-marine-science-center, pcmsc, point-barrow, shoreline, shoreline-accretion, shoreline-change, shoreline-erosion, smith-bay, state-of-alaska, u-s-geological-survey, united-states-of-america, usgs, usgs-594997cfe4b062508e359bc6
Organization: Department of the Interior
Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Long-Term Linear Regression Rate Calculations for the Exposed West Beaufort Sea coast of Alaska between the Colville River and Point Barrow

This dataset consists of long-term (~65 years) shoreline change rates for the north coast of Alaska between the Colville River and Point Barrow. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Long-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1947 and 2012. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate long-term rates.

Tags: arctic, beaufort-sea, cape-halkett, cmgp, coastal-and-marine-geology-program, coastal-processes, colville-river, dease-inlet, digital-shoreline-analysis-system, drew-point, dsas, elson-lagoon, environment, geoscientificinformation, habitat, harrison-bay, national-assessment-of-coastal-change-hazards, national-assessment-of-shoreline-change-project, national-petroleum-reserve-alaska, north-slope, npr-a, oceans, pacific-coastal-and-marine-science-center, pcmsc, point-barrow, shoreline, shoreline-accretion, shoreline-change, shoreline-erosion, smith-bay, state-of-alaska, u-s-geological-survey, united-states-of-america, usgs, usgs-594997b0e4b062508e359bc4
Organization: Department of the Interior
Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Long-Term Linear Regression Rate Calculations for the Sheltered East Chukchi Sea coast of Alaska between Point Barrow and Icy Cape

This dataset consists of long-term (~65 years) shoreline change rates for the north coast of Alaska between Point Barrow and Icy Cape. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Long-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1947 and 2012. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate long-term rates.

Tags: arctic, barrow, chukchi-sea, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, habitat, national-assessment-of-coastal-change-hazards, national-assessment-of-shoreline-change-project, national-petroleum-reserve-alaska, north-slope, npr-a, oceans, pacific-coastal-and-marine-science-center, pcmsc, shoreline, shoreline-accretion, shoreline-change, shoreline-erosion, state-of-alaska, u-s-geological-survey, united-states-of-america, usgs, usgs-5949978ce4b062508e359bc2, utqiavik, wainwright
Organization: Department of the Interior