AndreaBozzo/ceres-open-data-index huggingface dataset:
Cottonwood Lake Study Area-Wetland Vegetation Zones-1993

Spatial polygons of vegetation zones in 1993 for wetlands; P1, P2, P3, P4, P6, P7, P8, P11, T1, T2, T3, T4, T5, T6, T7, T8, and T9 within the Cottonwood Lake Study Area, Stutsman County, North Dakota. Created from a collection of digital orthorectified images from aerial photographs of the study area acquired during July 1993 using Stewart and Kantrud classification system.

Tags: aquatic-vegetation, biota, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagteddy, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagtshuler, cottonwood-lake-study-area, earth-sciencegtbiospheregtaquatic-ecosystemsgtwetlandsgtlacustrine-wetlands, earth-sciencegtbiospheregtaquatic-ecosystemsgtwetlandsgtpalustrine-wetlands, earth-sciencegtbiospheregtterrestrial-ecosystemsgtwetlandsgtlacustrine-wetlands, earth-sciencegtbiospheregtterrestrial-ecosystemsgtwetlandsgtpalustrine-wetlands, earth-sciencegtbiospheregtvegetationgtvegetation-cover, environment, inlandwaters, north-dakota, northern-great-plains, prairie-pothole-region, stutsman-county, surface-water-non-marine, united-states-of-america, usgs-58c80b83e4b0849ce979607a, vegetation-changes, wetland-ecosystems, wetlands
Organization: Department of the Interior
Cottonwood Lake Study Area - Wetland Identifier Points

Identifier points for wetlands in the Cottonwood Lake Study Area, Stutsman County, North Dakota.

Tags: chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagteddy, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagtshuler, cottonwood-lake-study-area, earth-sciencegtbiospheregtaquatic-ecosystemsgtwetlandsgtlacustrine-wetlands, earth-sciencegtbiospheregtaquatic-ecosystemsgtwetlandsgtpalustrine-wetlands, earth-sciencegtbiospheregtterrestrial-ecosystemsgtwetlandsgtlacustrine-wetlands, earth-sciencegtbiospheregtterrestrial-ecosystemsgtwetlandsgtpalustrine-wetlands, environment, geospatial-datasets, inlandwaters, location, north-dakota, northern-great-plains, prairie-pothole-region, stutsman-county, surface-water-non-marine, united-states-of-america, usgs-58bdb504e4b01a6517dc0db1, wetland-ecosystems
Organization: Department of the Interior
WDM file, Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2016

ARGN16.WDM contains nine data sets: air temperature in degrees Fahrenheit (DSN 400), dewpoint temperature in degrees Fahrenheit (DSN 500), wind speed in miles per hour (DSN 300), solar radiation in Langleys (DSN 600), computed potential evapotranspiration in thousandths of an inch (DSN 200), and four data-source flag series for air temperature (DSN 410), dewpoint temperature (DSN 510), wind speed (DSN 310) and solar radiation (DSN 610) respectively from January 1, 1948, to September 30, 2016. The primary source of the data is the Argonne National Laboratory, Illinois. To open this file user needs to install any of the utilities described in the section "The Related External Resources" in this page.

Tags: air-temperature, argonne-national-laboratory-illinois, data-source-flag, dekalb-illinois, dewpoint-temperature, dupage-county-illinois, flood-forecasting, hydrology, ohare-international-airport-illinois, potential-evapotranspiration, runoff, solar-radiation, st-charles-illinois, usgs-58b9c627e4b0bcef64ef813a, wind-speed
Organization: Department of the Interior
Hourly wind speed in miles per hour and associated three-digit data-source flag, January 1, 1948 - September 30, 2016

The text file "Wind speed.txt" contains hourly data and associated data-source flag from January 1, 1948, to September 30, 2016. The primary source of the data is the Argonne National Laboratory, Illinois (ANL). The data-source flag consist of a three-digit sequence in the form "xyz" that describe the origin and transformations of the data values. They indicate if the data are original or missing, the method that was used to fill the missing periods, and any other transformations of the data. Missing and apparently erroneous data values were replaced with adjusted values from nearby stations used as “backup”. As stated in Over and others (2010), temporal variations in the statistical properties of the data resulting from changes in measurement and data storage methodologies were adjusted to match the statistical properties resulting from the data collection procedures that have been in place since January 1, 1989. The adjustments were computed based on the regressions between the primary data series from ANL and the backup series using data obtained during common periods; the statistical properties of the regressions were used to assign estimated standard errors to values that were adjusted or filled from other series. Each hourly value is assigned a corresponding data source flag that indicates the source of the value and its transformations. As described in Over and others (2010), each flag is of the form "xyz" that allows the user to determine its source and the methods  used to process the data. During the period 01/09/2016 hour 21 to 01/10/2016 hour 24 both ANL and the primary backup station at St. Charles, Illinois had missing wind speed data. The O'Hare International Airport (ORD) is used as an alternate backup station and the new regression equation and the corresponding new flag for wind speed are established using daily wind data from ORD for the period 10/01/2007 through 09/30/2016 following the guideline described in Over and others (2010).
Reference Cited:  
Over, T.M., Price, T.H., and Ishii, A.L., 2010, Development and analysis of a meteorological database, Argonne National Laboratory, Illinois: U.S. Geological Survey Open File Report 2010-1220, 67 p., http://pubs.usgs.gov/of/2010/1220/.

Tags: argonne-national-laboratory-illinois, data-source-flag, dekalb-illinois, dupage-county-illinois, flood-forecasting, hydrology, ohare-international-airport-illinois, runoff, st-charles-illinois, usgs-58b9c5f2e4b0bcef64ef8134, wind-speed
Organization: Department of the Interior
Hourly solar radiation in Langleys and associated three-digit data-source flag, January 1, 1948 - September 30, 2016

This text file "Solar radiation.txt" contains hourly data in Langleys and associated data-source flag from January 1, 1948, to September 30, 2016. The primary source of the data is the Argonne National Laboratory, Illinois. The data-source flag consist of a three-digit sequence in the form "xyz" that describe the origin and transformations of the data values. They indicate if the data are original or missing, the method that was used to fill the missing periods, and any other transformations of the data. Bera (2014) describes in detail an addition of a new data-source flag based on the regression analysis of the backup data series at St. Charles (STC) for water years (WY) 2008-10. The user of the data should consult Over and others (2010) and Bera (2014) for the detailed documentation of the data-source flag.  
Reference Cited:  
Over, T.M., Price, T.H., and Ishii, A.L., 2010, Development and analysis of a meteorological database, Argonne National Laboratory, Illinois: U.S. Geological Survey Open File Report 2010-1220, 67 p., http://pubs.usgs.gov/of/2010/1220/. 
Bera, M., 2014, Watershed Data Management (WDM) database for Salt Creek streamflow simulation, DuPage County, Illinois, water years 2005-11: U.S. Geological Survey Data Series 870, 18 p., http://dx.doi.org/10.3133/ds870.

Tags: argonne-national-laboratory-illinois, data-source-flag, dekalb-illinois, dupage-county-illinois, flood-forecasting, hydrology, ohare-international-airport-illinois, runoff, solar-radiation, st-charles-illinois, usgs-58b9c5bfe4b0bcef64ef8130
Organization: Department of the Interior
Hourly dewpoint temperature in degrees Fahrenheit and associated three-digit data-source flag, January 1, 1948 - September 30, 2016

The text file "Dewpoint temperature.txt" contains hourly data and associated data-source flag from January 1, 1948, to September 30, 2016. The primary source of the data is the Argonne National Laboratory, Illinois. The first four columns give year, month, day and hour of the observation. Column 5 is the data in degrees Fahrenheit. Column 6 is the data-source flag consist of a three-digit sequence in the form "xyz". They indicate if the dewpoint temperature data are original or missing, the method that was used to fill the missing periods, and any other transformations of the data. The user of the data should consult Over and others (2010) for the detailed documentation of this hourly data-source flag series.   
Reference Cited:  
Over, T.M., Price, T.H., and Ishii, A.L., 2010, Development and analysis of a meteorological database, Argonne National Laboratory, Illinois: U.S. Geological Survey Open File Report 2010-1220, 67 p., http://pubs.usgs.gov/of/2010/1220/.

Tags: argonne-national-laboratory-illinois, data-source-flag, dekalb-illinois, dewpoint-temperature, dupage-county-illinois, flood-forecasting, hydrology, ohare-international-airport-illinois, runoff, st-charles-illinois, usgs-58b9c58ee4b0bcef64ef812c
Organization: Department of the Interior
Continuous Monitoring and Synoptic Mapping of Nearshore Water Quality, Currents, and Bathymetry in Lake Michigan at 63rd Street Beach at Hyde Park, Illinois

These data were collected as part of the Great Lakes Restoration Initiative (GLRI) project template 678-1 entitled “Evaluate immediate and long-term BMP effectiveness of GLRI restoration efforts at urban beaches on Southern and Western Lake Michigan”. This project is evaluating the effectiveness of projects that are closely associated with restoration of local habitat and contact recreational activities at two GLRI funded sites in Southern Lake Michigan and one non-GLRI site in Western Lake Michigan.  Evaluation of GLRI projects will assess whether goals of recipients are on track and identify any developing unforeseen consequences. Including a third, non-GLRI project site in the evaluation allows comparison between restoration efforts in GLRI and non-GLRI funded projects. Projections and potential complications associated with climate change impacts on restoration resiliency are also being assessed.  Two of the three sites to receive evaluation represent some of the most highly contaminated beaches in the United States and include restoration BMPs which could benefit urban beaches and nearshore areas throughout the Great Lakes.  The urban beaches chosen for evaluation are at various stages of the restoration process and located in Indiana (Jeorse Park Beach), Illinois (63rd Street Beach), and Wisconsin (North Beach). Evaluation of effectiveness of restoration efforts and resiliency to climate change at urban beaches will provide vital information on the success of restoration efforts and identify potential pitfalls that will help maximize success of future GLRI beach and nearshore restoration projects. Data used for evaluation include continuous monitoring and synoptic mapping of nearshore currents, bathymetry, and water quality to examine nearshore transport under a variety of conditions.  In addition, biological evaluations rely upon daily indicator bacteria monitoring, microbial community and shorebird surveys, recreational usage, and other ancillary water quality data.

Tags: bathymetry, cook-county, currents, great-lakes, hyde-park, illinois, jackson-park, jackson-park-beach, lake-michigan, united-states, usgs-58b99c5be4b0c1723b8a035d, water-quality
Organization: Department of the Interior
Continuous Monitoring and Synoptic Mapping of Nearshore Water Quality, Currents, and Bathymetry in Lake Michigan at Jeorse Park Beach near Gary, Indiana

These data were collected as part of the Great Lakes Restoration Initiative (GLRI) project template 678-1 entitled 'Evaluate immediate and long-term BMP effectiveness of GLRI restoration efforts at urban beaches on Southern and Western Lake Michigan'. This project is evaluating the effectiveness of projects that are closely associated with restoration of local habitat and contact recreational activities at two GLRI funded sites in Southern Lake Michigan and one non-GLRI site in Western Lake Michigan.  Evaluation of GLRI projects will assess whether goals of recipients are on track and identify any developing unforeseen consequences. Including a third, non-GLRI project site in the evaluation allows comparison between restoration efforts in GLRI and non-GLRI funded projects. Projections and potential complications associated with climate change impacts on restoration resiliency are also being assessed.  Two of the three sites to receive evaluation represent some of the most highly contaminated beaches in the United States and include restoration BMPs which could benefit urban beaches and nearshore areas throughout the Great Lakes.  The urban beaches chosen for evaluation are at various stages of the restoration process and located in Indiana (Jeorse Park Beach), Illinois (63rd Street Beach), and Wisconsin (North Beach). Evaluation of effectiveness of restoration efforts and resiliency to climate change at urban beaches will provide vital information on the success of restoration efforts and identify potential pitfalls that will help maximize success of future GLRI beach and nearshore restoration projects. Data used for evaluation include continuous monitoring and synoptic mapping of nearshore currents, bathymetry, and water quality to examine nearshore transport under a variety of conditions.  In addition, biological evaluations rely upon daily indicator bacteria monitoring, microbial community and shorebird surveys, recreational usage, and other ancillary water quality data.

Tags: bathymetry, currents, gary, great-lakes, indiana, jeorse-park-beach, lake-county, lake-michigan, united-states, usgs-58b89d8ce4b01ccd5500c4e7, water-quality
Organization: Department of the Interior
Digital Shoreline Analysis System version 4.3 Transects with Short-Term Linear Regression Rate Calculations for western North Carolina (NCwest)

Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate.  Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion.  As a result, there is an increased demand for accurate information regarding past and present shoreline changes.  To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project.
There is no widely accepted standard for analyzing shoreline change.  Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments.  The impetus behind the National Assessment project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast.  The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner.

Tags: accretion, atlantic-coast, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, effects-of-coastal-change, environment, erosion, geoscientificinformation, historic-shoreline, holden-beach, linear-regression-rate, little-river-inlet, lockwoods-folly, national-assessment-of-shoreline-change-project, nc, north-america, north-carolina, oak-island, oceans, shallotte, shoreline, shoreline-accretion, shoreline-erosion, short-term-shoreline-change-rate, southport, transect, u-s-geological-survey, united-states, usgs, usgs-58b89202e4b01ccd5500c37e, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Cottonwood Lake Study Area-Wetland Vegetation Zones-1992

Spatial polygons of vegetation zones in 1992 for wetlands; P1, P2, P3, P4, P6, P7, P8, P11, T1, T2, T3, T4, T5, T6, T7, T8, and T9 within the Cottonwood Lake Study Area, Stutsman County, North Dakota. Created from a collection of digital orthorectified images from aerial photographs of the study area acquired during August 1992 using Stewart and Kantrud classification system.

Tags: aquatic-vegetation, biota, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagteddy, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagtshuler, cottonwood-lake-study-area, earth-sciencegtbiospheregtaquatic-ecosystemsgtwetlandsgtlacustrine-wetlands, earth-sciencegtbiospheregtaquatic-ecosystemsgtwetlandsgtpalustrine-wetlands, earth-sciencegtbiospheregtterrestrial-ecosystemsgtwetlandsgtlacustrine-wetlands, earth-sciencegtbiospheregtterrestrial-ecosystemsgtwetlandsgtpalustrine-wetlands, earth-sciencegtbiospheregtvegetationgtvegetation-cover, environment, inlandwaters, north-dakota, northern-great-plains, prairie-pothole-region, stutsman-county, surface-water-non-marine, united-states-of-america, usgs-58c80753e4b0849ce979601a, vegetation-changes, wetland-ecosystems, wetlands
Organization: Department of the Interior
Digital Shoreline Analysis System version 4.3 Transects with Long-Term Linear Regression Rate Calculations for western North Carolina (NCwest)

Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate.  Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion.  As a result, there is an increased demand for accurate information regarding past and present shoreline changes.  To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project.
There is no widely accepted standard for analyzing shoreline change.  Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments.  The impetus behind the National Assessment project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast.  The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner.

Tags: accretion, atlantic-coast, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, effects-of-coastal-change, environment, erosion, geoscientificinformation, historic-shoreline, holden-beach, linear-regression-rate, little-river-inlet, lockwoods-folly, long-term-shoreline-change-rate, national-assessment-of-shoreline-change-project, nc, north-america, north-carolina, oak-island, oceans, shallotte, shoreline, shoreline-accretion, shoreline-erosion, southport, transect, u-s-geological-survey, united-states, usgs, usgs-58b891fee4b01ccd5500c379, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Uncertainty table for lidar-derived shorelines used when calculating rates in the Digital Shoreline Analysis System software for western North Carolina (NCwest)

Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate.  Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion.  As a result, there is an increased demand for accurate information regarding past and present shoreline changes.  To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project.
There is no widely accepted standard for analyzing shoreline change.  Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments.  The impetus behind the National Assessment project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast.  The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner.

Tags: atlantic-coast, cmgp, coastal-and-marine-geology-program, coastal-processes, coastal-services-center, csc, database-iv-format, digital-shoreline-analysis-system, dsas, effects-of-coastal-change, environment, erosion, geoscientificinformation, high-water-line, high-water-line-offsets, high-water-line-uncertainty, holden-beach, hwl, lidar-uncertainty, little-river-inlet, lockwoods-folly, mean-high-water, mhw, national-assessment-of-shoreline-change-project, national-oceanic-and-atmospheric-administration, nc, noaa, north-america, north-carolina, oak-island, oceans, proxy-datum-bias, shallotte, shoreline-accretion, shoreline-change, shoreline-erosion, southport, u-s-geological-survey, united-states, usgs, usgs-58b891fae4b01ccd5500c374, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Shorelines of the western North Carolina (NCwest) coastal region used in shoreline change analysis

Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate.  Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion.  As a result, there is an increased demand for accurate information regarding past and present shoreline changes.  To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project.
There is no widely accepted standard for analyzing shoreline change.  Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments.  The impetus behind the National Assessment project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast.  The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner.

Tags: atlantic-coast, cerc, cerc-map, cmgp, coastal-and-marine-geology-program, coastal-engineering-research-center, coastal-processes, digital-shoreline-analysis-system, dsas, effects-of-coastal-change, environment, erosion, geoscientificinformation, high-water-line, holden-beach, hwl, little-river-inlet, lockwoods-folly, mean-high-water, mhw, national-assessment-of-shoreline-change-project, national-ocean-service, national-oceanic-and-atmospheric-administration, nc, noaa, north-america, north-carolina, nos, oak-island, oceans, shallotte, shoreline, shoreline-accretion, shoreline-change, shoreline-erosion, southport, u-s-army-corps-of-engineers, u-s-geological-survey, united-states, usace, usgs, usgs-58b891f7e4b01ccd5500c36f, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior