AndreaBozzo/ceres-open-data-index huggingface dataset:
Airborne magnetic flight line data over parts of southeast Missouri, southern Illinois and western Kentucky - The Gap survey, 2021

Airborne magnetic gradiometry data along the tie and flight lines are provided here in CSV (Comma Separated Value) format along with a GeoTIFF grid of the total magnetic intensity (TMI) in nanoTeslas.  Along with the data provided on this child page, a report in PDF format by the airborne contractor that describes the technical details of the data collection, reduction and processing procedures and a zip file that contains the contractor's deliverable products (Geosoft databases and grids) for the magnetic and radiometric survey is available on the parent page (https://doi.org/10.5066/P9TK8KMM).

Tags: aasg, aeromagnetic-surveying, aeroradiometric-surveying, airborne-geophysical-survey, alexander-county, association-of-state-geologists, ballard-county, bollinger-county, cape-girardeau, cape-girardeau-county, carlisle-county, downloadable, earth-mapping-resources-initiative, earthmri, earthquake-hazards-program, economy, ehp, franklin-county, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientific-information, geoscientificinformation, geospatial-datasets, geotiff, gggsc, horizontal-magnetic-gradiometry, illinois, jackson-county, jefferson-county, johnson-county, kentucky, magnetic-field-earth, map-service, massac-county, mccracken-county, mineral-resources-program, mississippi-county, missouri, mrp, national-cooperative-geologic-mapping-program, ncgmp, new-madrid-county, perry-county, potassium, pulaski-county, radon, randolph-county, rasters, scott-county, st-clair-county, stoddard-county, thorium, u-s-geological-survey, union-county, united-states, uranium, usgs, usgs-62434c50d34e22d73748d366, washington-county, williamson-county
Organization: Department of the Interior
Synthetic storm-driven flood-inundation grids for coastal communities along the Mullica River to Great Egg Harbor Bay and adjacent to the Ocean City tide gage from Corbin City to Ocean City, NJ

Digital flood-inundation maps for coastal communities within Cape May County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. 
The contents of this data release support the following publication:
Suro, T.P., Niemoczynski, M.J., Boetsma, A.C., and Niemoczynski, L.M., 2023, Moderate flood level scenarios: synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023-5005, 64 p., https://doi.org/10.3133/sir20235005.
The landing page on which this and 24 other storm scenarios reside is:
Niemoczynski, L.M., Niemoczynski, M.J., Boetsma, A.C., and Suro, T.P., 2023, Synthetic storm-driven flood-inundation grids for coastal communities in 10 New Jersey counties: U.S Geological Survey data release, https://doi.org/10.5066/P9RVF9P8.
References cited:
Federal Emergency Management Agency, 2014, FEMA Region II Coastal Analysis and Mapping Study, accessed November 2, 2018, at http://www.region2coastal.com/resources/about-the-coastal-flood-study/

Tags: cape-may-county, digital-maps, flood-inundation-maps, floods, new-jersey-coastal, oceans, tide-gages, usgs-62434a8bd34e22d73748d363
Organization: Department of the Interior
Synthetic storm-driven flood-inundation grids for coastal communities along Lake Bay to Great Egg Harbor Inlet and adjacent to the Margate tide gage from Pleasantville to Somers Point, NJ

Digital flood-inundation maps for coastal communities within Atlantic County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. 
The contents of this data release support the following publication:
Suro, T.P., Niemoczynski, M.J., Boetsma, A.C., and Niemoczynski, L.M., 2023, Moderate flood level scenarios: synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023-5005, 64 p., https://doi.org/10.3133/sir20235005.
The landing page on which this and 24 other storm scenarios reside is:
Niemoczynski, L.M., Niemoczynski, M.J., Boetsma, A.C., and Suro, T.P., 2023, Synthetic storm-driven flood-inundation grids for coastal communities in 10 New Jersey counties: U.S Geological Survey data release, https://doi.org/10.5066/P9RVF9P8.
References cited:
Federal Emergency Management Agency, 2014, FEMA Region II Coastal Analysis and Mapping Study, accessed November 2, 2018, at http://www.region2coastal.com/resources/about-the-coastal-flood-study/

Tags: atlantic-county, digital-maps, flood-inundation-maps, floods, new-jersey-coastal, oceans, tide-gages, usgs-624344abd34e22d73748d354
Organization: Department of the Interior
Synthetic storm-driven flood-inundation grids for coastal communities along the Great Bay to Absecon Channel and adjacent to the Absecon Channel at Atlantic City tide gage from North Brigantine to Atlantic City, NJ

Digital flood-inundation maps for coastal communities within Atlantic County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. 
The contents of this data release support the following publication:
Suro, T.P., Niemoczynski, M.J., Boetsma, A.C., and Niemoczynski, L.M., 2023, Moderate flood level scenarios: synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023-5005, 64 p., https://doi.org/10.3133/sir20235005.
The landing page on which this and 24 other storm scenarios reside is:
Niemoczynski, L.M., Niemoczynski, M.J., Boetsma, A.C., and Suro, T.P., 2023, Synthetic storm-driven flood-inundation grids for coastal communities in 10 New Jersey counties: U.S Geological Survey data release, https://doi.org/10.5066/P9RVF9P8.
References cited:
Federal Emergency Management Agency, 2014, FEMA Region II Coastal Analysis and Mapping Study, accessed November 2, 2018, at http://www.region2coastal.com/resources/about-the-coastal-flood-study/

Tags: atlantic-county, digital-maps, flood-inundation-maps, floods, new-jersey-coastal, oceans, tide-gages, usgs-62433e66d34e22d73748d340
Organization: Department of the Interior
Synthetic storm-driven flood-inundation grids for coastal communities along Lake Bay and adjacent to the Inside Thorofare at Atlantic City tide gage from Pleasantville to Ventnor City, NJ

Digital flood-inundation maps for coastal communities within Atlantic County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. 
The contents of this data release support the following publication:
Suro, T.P., Niemoczynski, M.J., Boetsma, A.C., and Niemoczynski, L.M., 2023, Moderate flood level scenarios: synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023-5005, 64 p., https://doi.org/10.3133/sir20235005.
The landing page on which this and 24 other storm scenarios reside is:
Niemoczynski, L.M., Niemoczynski, M.J., Boetsma, A.C., and Suro, T.P., 2023, Synthetic storm-driven flood-inundation grids for coastal communities in 10 New Jersey counties: U.S Geological Survey data release, https://doi.org/10.5066/P9RVF9P8.
References cited:
Federal Emergency Management Agency, 2014, FEMA Region II Coastal Analysis and Mapping Study, accessed November 2, 2018, at http://www.region2coastal.com/resources/about-the-coastal-flood-study/

Tags: atlantic-county, digital-maps, flood-inundation-maps, floods, new-jersey-coastal, oceans, tide-gages, usgs-62433994d34e22d73748d32f
Organization: Department of the Interior
Synthetic storm-driven flood-inundation grids for coastal communities along the Mullica River to Absecon Bay and adjacent to the Absecon tide gage from Port Republic to Pleasantville, NJ

Digital flood-inundation maps for coastal communities within Atlantic County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. 
The contents of this data release support the following publication:
Suro, T.P., Niemoczynski, M.J., Boetsma, A.C., and Niemoczynski, L.M., 2023, Moderate flood level scenarios: synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023-5005, 64 p., https://doi.org/10.3133/sir20235005.
The landing page on which this and 24 other storm scenarios reside is:
Niemoczynski, L.M., Niemoczynski, M.J., Boetsma, A.C., and Suro, T.P., 2023, Synthetic storm-driven flood-inundation grids for coastal communities in 10 New Jersey counties: U.S Geological Survey data release, https://doi.org/10.5066/P9RVF9P8.
References cited:
Federal Emergency Management Agency, 2014, FEMA Region II Coastal Analysis and Mapping Study, accessed November 2, 2018, at http://www.region2coastal.com/resources/about-the-coastal-flood-study/

Tags: atlantic-county, digital-maps, flood-inundation-maps, floods, new-jersey-coastal, oceans, tide-gages, usgs-62433439d34e22d73748d15c
Organization: Department of the Interior
Synthetic storm-driven flood-inundation grids for coastal communities along the Barnegat Bay and adjacent to the Ship Bottom tide gage from Stafford Township to Beach Haven, NJ

Digital flood-inundation maps for coastal communities within Ocean County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. 
The contents of this data release support the following publication:
Suro, T.P., Niemoczynski, M.J., Boetsma, A.C., and Niemoczynski, L.M., 2023, Moderate flood level scenarios: synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023-5005, 64 p., https://doi.org/10.3133/sir20235005.
The landing page on which this and 24 other storm scenarios reside is:
Niemoczynski, L.M., Niemoczynski, M.J., Boetsma, A.C., and Suro, T.P., 2023, Synthetic storm-driven flood-inundation grids for coastal communities in 10 New Jersey counties: U.S Geological Survey data release, https://doi.org/10.5066/P9RVF9P8.
References cited:
Federal Emergency Management Agency, 2014, FEMA Region II Coastal Analysis and Mapping Study, accessed November 2, 2018, at http://www.region2coastal.com/resources/about-the-coastal-flood-study/

Tags: digital-maps, flood-inundation-maps, floods, new-jersey-coastal, ocean-county, oceans, tide-gages, usgs-624325ded34e22d73748d119
Organization: Department of the Interior
Spreadsheet of fitted historical precipitation depths at 174 NOAA Atlas 14 stations in central and south Florida derived from MACA downscaled climate dataset (DDF_MACA_historical.xlsx)

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. 
      A Microsoft Excel workbook is provided which tabulates fitted historical precipitation depths derived from the Multivariate Adaptive Constructed Analogs (MACA) dataset at grid cells closest to National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in central and south Florida. The historical extreme precipitation depths are fitted to extreme precipitation data using a constrained maximum likelihood approach and tabulated by duration (1, 3, and 7 days) and return period (5, 10, 25, 50, 100, and 200 years).

Tags: climatologymeteorologyatmosphere, depth-duration-frequency, extremes, florida, precipitation-atmospheric, precipitation-extremes, south-florida, south-florida-water-management-district, southern-florida, usgs-6243249bd34ef16347ba783b
Organization: Department of the Interior
Spreadsheet of fitted projected future precipitation depths at 174 NOAA Atlas 14 stations in central and south Florida derived from LOCA downscaled climate dataset (DDF_LOCA_future.xlsx)

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. 
      A Microsoft Excel workbook is provided which tabulates fitted projected future precipitation depths derived from the Localized Constructed Analogues (LOCA) dataset at grid cells closest to National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in central and south Florida.  The projected future extreme precipitation depths are fitted to extreme precipitation data using a constrained maximum likelihood approach and tabulated by duration (1, 3, and 7 days) and return period (5, 10, 25, 50, 100, and 200 years).

Tags: climatologymeteorologyatmosphere, depth-duration-frequency, extremes, florida, precipitation-atmospheric, precipitation-extremes, south-florida, south-florida-water-management-district, southern-florida, usgs-62432333d34ef16347ba782c
Organization: Department of the Interior
Spreadsheet of fitted projected future precipitation depths at 170 NOAA Atlas 14 stations in central and south Florida derived from the Analog Resampling and Statistical Scaling Method by Jupiter Intelligence using the Weather Research and Forecasting Model (JupiterWRF) downscaled climate dataset (DDF_JupiterWRF_future.xlsx)

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period.  
A Microsoft Excel workbook is provided which tabulates fitted projected future precipitation depths derived from the Analog Resampling and Statistical Scaling Method by Jupiter Intelligence using the Weather Research and Forecasting Model (JupiterWRF) at grid cells closest to National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in central and south Florida. A maximum likelihood approach is used to fit the projected future extreme precipitation depths to extreme projected future precipitation data estimated using a statistical scaling approach. The return levels are modified to account for changes in the future frequency of large-scale meteorological factors conducive to precipitation by means of an analog resampling approach. The projected future extreme precipitation depths are tabulated by duration (1 day) and return period (5, 10, 25, 50, 100, and 200 years).

Tags: climatologymeteorologyatmosphere, depth-duration-frequency, extremes, florida, precipitation-atmospheric, precipitation-extremes, south-florida, south-florida-water-management-district, southern-florida, usgs-624322afd34ef16347ba7828
Organization: Department of the Interior
Spreadsheet of change factors at 170 NOAA Atlas 14 stations in central and south Florida derived from the Analog Resampling and Statistical Scaling Method by Jupiter Intelligence using the Weather Research and Forecasting Model (JupiterWRF) downscaled climate dataset (CF_JupiterWRF_future_to_historical.xlsx)

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period.  
A Microsoft Excel workbook is provided which tabulates change factors derived from the Analog Resampling and Statistical Scaling Method by Jupiter Intelligence using the Weather Research and Forecasting Model (JupiterWRF) at grid cells closest to National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical precipitation depths fitted to extreme precipitation data. The change factors are tabulated by duration (1 day) and return period (5, 10, 25, 50, 100, and 200 years).

Tags: climatologymeteorologyatmosphere, depth-duration-frequency, extremes, florida, precipitation-atmospheric, precipitation-extremes, south-florida, south-florida-water-management-district, southern-florida, usgs-624320ccd34e131ff705f9b8
Organization: Department of the Interior
Synthetic storm-driven flood-inundation grids for coastal communities along the Barnegat Bay and adjacent to the Barnegat Light tide gage from Lanoka Harbor to Harvey Cedars, NJ

Digital flood-inundation maps for coastal communities within Ocean County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. 
The contents of this data release support the following publication:
Suro, T.P., Niemoczynski, M.J., Boetsma, A.C., and Niemoczynski, L.M., 2023, Moderate flood level scenarios: synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023-5005, 64 p., https://doi.org/10.3133/sir20235005.
The landing page on which this and 24 other storm scenarios reside is:
Niemoczynski, L.M., Niemoczynski, M.J., Boetsma, A.C., and Suro, T.P., 2023, Synthetic storm-driven flood-inundation grids for coastal communities in 10 New Jersey counties: U.S Geological Survey data release, https://doi.org/10.5066/P9RVF9P8.
References cited:
Federal Emergency Management Agency, 2014, FEMA Region II Coastal Analysis and Mapping Study, accessed November 2, 2018, at http://www.region2coastal.com/resources/about-the-coastal-flood-study/

Tags: digital-maps, flood-inundation-maps, floods, new-jersey-coastal, ocean-county, oceans, tide-gages, usgs-62431fcad34e131ff705f9ad
Organization: Department of the Interior