AndreaBozzo/ceres-open-data-index huggingface dataset:
Hourly wind speed in miles per hour and associated three-digit data-source flag, January 1, 1948 - September 30, 2017

The text file "Wind speed.txt" contains hourly data and associated data-source flag from January 1, 1948, to September 30, 2017. The primary source of the data is Argonne National Laboratory (Argonne National Laboratory, 2017) and is processed following the guidelines documented in Over and others (2010). Missing and apparently erroneous data values were replaced with adjusted values from nearby stations used as “backup”. The Illinois Climate Network (Water and Atmospheric Resources Monitoring Program, 2015) station at St. Charles, Illinois and Midwestern Regional Climate Center (Midwestern Regional Climate Center, 2017) station at Chicago O'Hare International Airport are used as "backup". Each data source flag is of the form "xyz" that allows the user to determine its source and the methods used to process the data (Over and others, 2010).
References Cited:
Argonne National Laboratory, 2017, Meteorological data, accessed on October 25, 2017, at URL http://gonzalo.er.anl.gov/ANLMET/.
Midwestern Regional Climate Center, 2017, Meteorological data, accessed on December 5, 2017, at URL http://mrcc.isws.illinois.edu/CLIMATE/welcome.jsp.
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/.
Water and Atmospheric Resources Monitoring Program, 2015, Illinois Climate Network: Champaign, Ill., Illinois State Water Survey, accessed on December 5, 2017, at http://dx.doi.org/10.13012/J8MW2F2Q.

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-5a8c98f2e4b069906054df82, wind-speed
Organization: Department of the Interior
Chance of potentially minor-damage ground shaking in 2018 based on the average of horizontal spectral response acceleration for 1.0-second period and peak ground acceleration for the Central and Eastern United States

A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural earthquakes, has been produced by the U.S. Geological Survey.  The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2018. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties in earthquake occurrence and diversity of opinion in the science community.  Near some areas of active induced earthquakes, hazard is higher than in the 2014 USGS National Seismic Hazard Model (NSHM) by more than a factor of 3; the 2014 NSHM did not consider induced earthquakes. In some areas, previously observed induced earthquakes have stopped, so the seismic hazard reverts back to the 2014 NSHM.
This data sets represents the results of calculations of hazard curves for a grid of points with a spacing of 0.05 degrees in latitude and longitude. They represent the chance of experiencing potentially damaging ground shaking for fixed ground shaking levels that corresponds with MMI = VI. The values are obtained by averaging the probability of experiencing MMI = VI based on a peak ground acceleration value of 0.1155 g for site class D, and the probability of experiencing MMI = VI based on 1.0-second spectral acceleration value of 0.102 g for site class D.  The data are for the Central and Eastern United States and are based on the one-year model described above.

Tags: alabama, arizona, arkansas, colorado, connecticut, delaware, district-of-columbia, earthquake, florida, georgia, hazard, illinois, indiana, induced, iowa, kansas, kentucky, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, montana, natural, nebraska, new-hampshire, new-jersey, new-mexico, new-york, north-carolina, north-dakota, ohio, oklahoma, pennsylvania, rhode-island, seismic, south-carolina, south-dakota, tennessee, texas, united-states, usa, usgs-5a8c98d7e4b069906054df7e, utah, vermont, virginia, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Hourly dewpoint temperature in degrees Fahrenheit and associated three-digit data-source flag, January 1, 1948 - September 30, 2017

The text file "Dewpoint temperature.txt" contains hourly data and associated data-source flag from January 1, 1948, to September 30, 2017. Argonne National Laboratory (Argonne National Laboratory, 2017) is the primary source of the data and is processed following the guidelines documented in Over and others (2010). Missing and apparently erroneous data values were replaced with adjusted values from nearby stations used as “backup”. Midwestern Regional Climate Center (Midwestern Regional Climate Center, 2017) station at Chicago O'Hare International Airport is used as "backup". Each hourly value is assigned a corresponding data source flag that indicates the source of the value and its transformations. Each flag is of the form "xyz" that allows the user to determine its source and the methods used to process the data (Over and others, 2010). 
References Cited:
Argonne National Laboratory, 2017, Meteorological data, accessed on October 25, 2017, at URL http://gonzalo.er.anl.gov/ANLMET/.                                                                                      
Midwestern Regional Climate Center, 2017, Meteorological data, accessed on December 5, 2017, at URL http://mrcc.isws.illinois.edu/CLIMATE/welcome.jsp. 
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-5a8c968ee4b069906054df59
Organization: Department of the Interior
Hourly computed potential evapotranspiration in thousandths of an inch, January 1, 1948 - September 30, 2017

The text file PET.txt contains hourly data from January 1, 1948, to September 30, 2017. Daily PET in thousandths of an inch is computed from average daily air temperature in degrees Fahrenheit (°F), average daily dewpoint temperature in degrees Fahrenheit (°F), daily total wind movement in miles (mi), and daily total solar radiation in Langleys per day (Lg/d) and disaggregated to hourly PET in thousandths of an inch using the Fortran program LXPET (Murphy, 2005). The primary source of the data is Argonne National Laboratory (Argonne National Laboratory, 2017) and is processed following the guidelines documented in Over and others (2010).
References Cited:
Argonne National Laboratory, 2017, Meteorological data, accessed on October 25, 2017, at URL http://gonzalo.er.anl.gov/ANLMET/.
Murphy, E.A., 2005, Comparison of potential evapotranspiration calculated by the LXPET (Lamoreux Potential Evapotranspiration) Program and by the WDMUtil (Watershed Data Management Utility) Program: U.S. Geological Survey Open-File Report 2005-1020, 20 p., https://pubs.er.usgs.gov/publication/ofr20051020.
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: air-temperature, argonne-national-laboratory-illinois, dekalb-illinois, dewpoint-temperature, dupage-county-illinois, ohare-international-airport-illinois, potential-evapotranspiration, solar-radiation, st-charles-illinois, usgs-5a8c963ce4b069906054df50, wind-speed
Organization: Department of the Interior
Geospatial datasets of AUV observations including bottom dissolved oxygen in Great South Bay, Long Island, New York, August 2016

This data provides an interpolated raster surface of dissolved oxygen values across a region covered by an August 26, 2016 AUV survey.  The raster was generated by using a natural neighbors interpolator within a GIS on the empirical data set.  This interpolator was chosen due to the non-normal distribution observed among the data, and its ability to produce smoother approximations than alternative interpolation methods.  During the August 26 survey, 10,577 data points were collected in Patchogue Bay. A subset of 2644 (25%) random points were removed prior to interpolation to check for the accuracy of the interpolated surface.

Tags: autonomous-underwater-vehicle, brown-creek, connetquot-river, estuarine-processes, great-south-bay, hydrology, long-island, nicoll-bay, oxygen-content-water, patchogue-bay, salinity, south-shore-estuary-reserve, usgs-5a9e9f66e4b0699060731479, water-ph, water-quality, water-resource-management, water-temperature
Organization: Department of the Interior
Pedestrian evacuation times for hotel visitors on the island of O'ahu, Hawai'i, for standard and extreme tsunami evacuation zones by community, modeled at three travel speeds (impaired, slow, and fast walk)

This dataset contains O'ahu hotel visitor estimates as a funtion of travel time out of the standard and extreme tsunami-evacuation zones for three different travel speeds (impaired, slow, and fast walk). The data are organized in a manner which permits summarizing or visualizing the data by tsunami-evacuation zone and/or travel time, with communities listed across the top as columns and individual rows representing the number of hotel visitors present in the specific evacuation zone/travel time combination.
These data support the following publication: Wood, N.J., Jones, J.L., Peters, J., and Richards, K., 2018, Pedestrian-evacuation modeling to reduce vehicle use for distant tsunami evacuations in Hawai'i: International Journal of Disaster Risk Reduction, v. 28, p. 271–283, https://doi.org/10.1016/j.ijdrr.2018.03.009.

Tags: evacuation, hawaii, honolulu-county, modeling, oahu, pedestrian, tsunamis, usgs-5a8c94bde4b069906054df3c, vulnerability
Organization: Department of the Interior
Pedestrian evacuation times for residents on the island of O'ahu, Hawai'i, for standard and extreme tsunami evacuation zones by community, modeled at three travel speeds (impaired, slow, and fast walk)

This dataset contains O'ahu resident count estimates as a function of travel time out of the standard and extreme tsunami-evacuation zones for three different travel speeds (impaired, slow, and fast walk). The data are organized in a manner which permits summarizing or visualizing the data by tsunami-evacuation zone and/or travel time, with communities listed across the top as columns and individual rows representing the number of residents present in the specific evacuation zone/travel time combination. Due to the nature of the methodology used to distribute residential population to structures, resident numbers are not integers. This dataset is intended for use in the U.S. Geological Survey's O'ahu, HI tsunami evacuation web page (https://geography.wr.usgs.gov/science/vulnerability/oahuEvacDashboard.html).
These data support the following publication: Wood, N.J., Jones, J.L., Peters, J., and Richards, K., 2018, Pedestrian-evacuation modeling to reduce vehicle use for distant tsunami evacuations in Hawai'i: International Journal of Disaster Risk Reduction, v. 28, p. 271–283, https://doi.org/10.1016/j.ijdrr.2018.03.009.

Tags: evacuation, hawaii, honolulu-county, modeling, oahu, pedestrian, tsunamis, usgs-5a8c93e6e4b069906054df32, vulnerability
Organization: Department of the Interior
Tsunami evacuation time map for the island of O'ahu, Hawai'i, extreme tsunami evacuation zone and slow walk speed

The travel time map was generated using the Pedestrian Evacuation Analyst model from the USGS (https://geography.wr.usgs.gov/science/vulnerability/tools.html). The travel time analysis uses ESRI's Path Distance tool to find the shortest distance across a cost surface from any point in the hazard zone to a safe zone. This cost analysis considers the direction of movement and assigns a higher cost to steeper slopes, based on a table contained within the model. The analysis also adds in the energy costs of crossing different types of land cover, assuming that less energy is expended walking along a road than walking across a sandy beach. To produce the time map, the evacuation surface output from the model is grouped into 1-minute increments for easier visualization. The times in the attribute table represent the estimated time to travel on foot to the nearest safe zone at the speed designated in the map title. The file name indicates whether the map is of the standard or extreme evacuation zone used by the City and County of Honolulu and which travel speed was used in the modelling (impaired, slow, or fast walk).
These data support the following publication: Wood, N.J., Jones, J.L., Peters, J., and Richards, K., 2018, Pedestrian-evacuation modeling to reduce vehicle use for distant tsunami evacuations in Hawai'i: International Journal of Disaster Risk Reduction, v. 28, p. 271–283, https://doi.org/10.1016/j.ijdrr.2018.03.009.

Tags: evacuation, hawaii, honolulu-county, modeling, oahu, pedestrian, tsunamis, usgs-5a8c9357e4b069906054df2b, vulnerability
Organization: Department of the Interior
Tsunami evacuation time map for the island of O'ahu, Hawai'i, extreme tsunami evacuation zone and impaired walk speed

The travel time map was generated using the Pedestrian Evacuation Analyst model from the USGS (https://geography.wr.usgs.gov/science/vulnerability/tools.html). The travel time analysis uses ESRI's Path Distance tool to find the shortest distance across a cost surface from any point in the hazard zone to a safe zone. This cost analysis considers the direction of movement and assigns a higher cost to steeper slopes, based on a table contained within the model. The analysis also adds in the energy costs of crossing different types of land cover, assuming that less energy is expended walking along a road than walking across a sandy beach. To produce the time map, the evacuation surface output from the model is grouped into 1-minute increments for easier visualization. The times in the attribute table represent the estimated time to travel on foot to the nearest safe zone at the speed designated in the map title. The file name indicates whether the map is of the standard or extreme evacuation zone used by the City and County of Honolulu and which travel speed was used in the modelling (impaired, slow, or fast walk).
These data support the following publication: Wood, N.J., Jones, J.L., Peters, J., and Richards, K., 2018, Pedestrian-evacuation modeling to reduce vehicle use for distant tsunami evacuations in Hawai'i: International Journal of Disaster Risk Reduction, v. 28, p. 271–283, https://doi.org/10.1016/j.ijdrr.2018.03.009.

Tags: evacuation, hawaii, honolulu-county, modeling, oahu, pedestrian, tsunamis, usgs-5a8c92f8e4b069906054df28, vulnerability
Organization: Department of the Interior
GIS shapefile: Manatee County, Florida irrigated agricultural land-use for the 2018 growing season

This data set consists of a detailed digital map of the areal extent of fields and a summary of the  irrigated acreage for the 2018 growing season developed for Manatee County, Florida. Selected attribute data that include crop type, irrigation system, and primary water source were collected for each irrigated field.

Tags: boundaries, crop-type, environment, farming, florida-department-of-agriculture-and-consumer-service, groundwater, irrigation-type, landuse, landuse-classification-codes, orthoimagery, south-florida-water-management-district, southwest-florida-water-management-district, surface-water, usgs-5ae1c777e4b0e2c2dd302883
Organization: Department of the Interior
Tsunami evacuation time map for the island of O'ahu, Hawai'i, standard tsunami evacuation zone and fast walk speed

The travel time map was generated using the Pedestrian Evacuation Analyst model from the USGS (https://geography.wr.usgs.gov/science/vulnerability/tools.html). The travel time analysis uses ESRI's Path Distance tool to find the shortest distance across a cost surface from any point in the hazard zone to a safe zone. This cost analysis considers the direction of movement and assigns a higher cost to steeper slopes, based on a table contained within the model. The analysis also adds in the energy costs of crossing different types of land cover, assuming that less energy is expended walking along a road than walking across a sandy beach. To produce the time map, the evacuation surface output from the model is grouped into 1-minute increments for easier visualization. The times in the attribute table represent the estimated time to travel on foot to the nearest safe zone at the speed designated in the map title. The file name indicates whether the map is of the standard or extreme evacuation zone used by the City and County of Honolulu and which travel speed was used in the modelling (impaired, slow, or fast walk).
These data support the following publication: Wood, N.J., Jones, J.L., Peters, J., and Richards, K., 2018, Pedestrian-evacuation modeling to reduce vehicle use for distant tsunami evacuations in Hawai'i: International Journal of Disaster Risk Reduction, v. 28, p. 271–283, https://doi.org/10.1016/j.ijdrr.2018.03.009.

Tags: evacuation, hawaii, honolulu-county, modeling, oahu, pedestrian, tsunamis, usgs-5a8c9299e4b069906054df23, vulnerability
Organization: Department of the Interior
Tsunami evacuation time map for the island of O'ahu, Hawai'i, standard tsunami evacuation zone and slow walk speed

The travel time map was generated using the Pedestrian Evacuation Analyst model from the USGS (https://geography.wr.usgs.gov/science/vulnerability/tools.html). The travel time analysis uses ESRI's Path Distance tool to find the shortest distance across a cost surface from any point in the hazard zone to a safe zone. This cost analysis considers the direction of movement and assigns a higher cost to steeper slopes, based on a table contained within the model. The analysis also adds in the energy costs of crossing different types of land cover, assuming that less energy is expended walking along a road than walking across a sandy beach. To produce the time map, the evacuation surface output from the model is grouped into 1-minute increments for easier visualization. The times in the attribute table represent the estimated time to travel on foot to the nearest safe zone at the speed designated in the map title. The file name indicates whether the map is of the standard or extreme evacuation zone used by the City and County of Honolulu and which travel speed was used in the modelling (impaired, slow, or fast walk).
These data support the following publication: Wood, N.J., Jones, J.L., Peters, J., and Richards, K., 2018, Pedestrian-evacuation modeling to reduce vehicle use for distant tsunami evacuations in Hawai'i: International Journal of Disaster Risk Reduction, v. 28, p. 271–283, https://doi.org/10.1016/j.ijdrr.2018.03.009.

Tags: evacuation, hawaii, honolulu-county, modeling, oahu, pedestrian, tsunamis, usgs-5a8c924de4b069906054df17, vulnerability
Organization: Department of the Interior
Datasets for trends in water quality of selected streams and reservoirs used for water supply in the Triangle area of North Carolina, 1989-2013

This U.S. Geological Survey Data Release contains the associated data described in the Scientific Investigations Report, "Trends in water quality of selected streams and reservoirs used for water supply in the Triangle area of North Carolina, 1989-2013". Since 1989, the U.S. Geological Survey and a consortium of local governments have tracked water-quality conditions and trends in the water-supply reservoirs and streams in the Triangle area of North Carolina located within the upper Cape Fear and Neuse River Basins. Temporal trends in water-quality were analyzed for thirteen stream and eight reservoir sites. Seventeen water-quality parameters and constituents were examined at these sites.

Tags: chatham-county, durham-county, major-ions, north-carolina, nutrient, orange-county, surface-water, trends, usgs-5a8c8d8ae4b069906054defa, wake-county, water-quality, water-supply
Organization: Department of the Interior
Amphibian Occupancy and Effects of Habitat Use on Pesticide Exposure in Iowa Wetlands

Amphibians living in agricultural areas encounter many challenges. Two factors affecting individuals in these landscapes are habitat loss and pesticides.  This thesis focuses on amphibians using agricultural wetlands in Iowa, where row crops such as corn and soybeans dominate the landscape. The goal of my first study was to determine the influences of site characteristics on amphibian presence and success. I used occupancy analysis to estimate proportion of area occupied by four species as a function of eight covariates hypothesized to affect occupancy: fish abundance, salamander abundance, invertebrate density, vegetative cover, wetland area, water atrazine concentration, surrounding crop land use, and overall wetland health score.  We surveyed 27 wetlands in 2015 and 2016. Occupancy analysis results indicate almost all covariates were supported in our model sets although their estimated effects were weak. Direction of predicted effects of covariates on amphibians varied by species and life stage. Results show that wetland site occupancy for species in our study ranged from 0.23 to 0.95. Although we did not find strong evidence that the environmental factors we measured influenced amphibian occupancy, we provide insight on amphibian use of a modified agricultural landscape. 
The goal of my second study was to understand where and when frogs are most susceptible to pesticide exposure and how that exposure relates to accumulation. We hypothesized habitat use would influence a frog’s exposure to pesticides. We radio tracked 72 Northern Leopard Frogs (Lithobates pipiens) in agricultural wetlands and assessed their survival. We used Passive Sampling Devices (PSDs) to test for differences in pesticide exposure among grassland, wetland, and agricultural habitats. We found that pesticide concentration analyzed from PSDs varied among habitat types (P &lt; 0.01) with concentration greatest in agricultural habitats. Amphibians frequently used wetland habitats early in our study, and transitioned into grassland habitats later in the summer, using agricultural fields rarely. Number and concentration of pesticides were greatest in tissues collected in May, but few pesticides were detected in individuals captured in August (P &lt; 0.01 and P &lt; 0.01, respectively). Our results indicate risk of pesticide accumulation is highest in aquatic habitats earlier in the year.

Tags: agriculture, amphibian, biota, known-fate, occupancy, passive-sampling-device, pesticides, usgs-5a8c8a44e4b069906054deee
Organization: Department of the Interior