AndreaBozzo/ceres-open-data-index huggingface dataset:
Hourly air temperature in degrees Fahrenheit and associated three-digit data-source flag, January 1, 1948 - September 30, 2016

The text file "Air 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 three-digit data-source flag. They indicate if the air temperature data are original or missing, the method that was used to fill the missing periods, and any other transformations of the data. These flags consist of a three-digit sequence in the form "xyz". 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: air-temperature, argonne-national-laboratory-illinois, data-source-flag, dekalb-illinois, dupage-county-illinois, flood-forecasting, hydrology, ohare-international-airport-illinois, runoff, st-charles-illinois, usgs-58b9c499e4b0bcef64ef8120
Organization: Department of the Interior
Puffer Mortality Data

In 2010, a mass mortality of pufferfish in Hawaii was dominated by Arothron hispidus showing aberrant neurological behaviors.  Using pathology, toxinology, and field surveys, we implicated a series of novel, polar, marine toxins as a likely cause of this mass mortality.  Our findings are striking in that 1) a marine toxin was associated with a kill of  a fish species that is, itself, toxic; 2) we provide a plausible mechanism to explain clinical signs of affected fish, and 3) this epizootic likely depleted puffer populations.  Whilst our data are compelling, we did not synthesize the toxin de-novo, we were unable to categorically prove that the polar toxins caused mortality or that they were metabolites of an undefined parent compound.   However, our approach does provides a template for marine fish kill investigations associated with marine toxins and inherent limitations of existing methods.  Our study also highlights the need for more rapid and cost-effective tools to identify new marine toxins, particularly small, highly polar molecules.

Tags: dereplication, mortality-data, pathology, tetraodontidae, toxinology, usgs-58b44cdbe4b01ccd54fca839, virology
Organization: Department of the Interior
Input data to run Landis-II

The data are input data files to run the forest simulation model Landis-II for Isle Royale National Park. Files include: a) Initial_Comm, which includes the location of each mapcode, b) Cohort_ages, which includes the ages for each tree species-cohort within each mapcode, c) Ecoregions, which consist of different regions of soils and climate, d) Ecoregion_codes, which define the ecoregions, and e) Species_Params, which link the potential establishment and growth rates for each species with each ecoregion.

Tags: cohort, forest-ecosystems, forest-resources, forest-succession, forests, isle-royale-national-park, lake-superior, mathematical-modeling, michigan, simulation, succession-biological, usgs-58b432bae4b01ccd54fca207
Organization: Department of the Interior
Chesapeake Bay non-tidal network shapefiles for selected watershed boundaries

This metadata report documents a shapefile of watershed boundaries for 84 selected United States Geological Survey (USGS) water quality stations that are part of the Chesapeake Bay non-tidal network (NTN).

Tags: chesapeake-bay, delaware, district-of-columbia, james-river, maryland, new-york, pennsylvania, potomac-river, rappahannock-river, surface-water-quality, susquehanna-river, total-nitrogen, total-phosphorus, usgs-58b3624fe4b01ccd54fca190, virginia, west-virginia
Organization: Department of the Interior
Water pressure/depth and turbidity time-series data from CHC13 Marsh and mudflat stations in San Pablo Bay and China Camp Marsh, California

Files contain hydrodynamic and sediment transport data for the location and deployment indicated. Time-series data of water depth, velocity, turbidity, and temperature were collected in San Pablo Bay and China Camp Marsh as part of the San Francisco Bay Marsh Sediment Experiments. Several instruments were deployed in tidal creek, marsh, mudflat, and Bay locations, gathering data on water depth, velocity, salinity/temperature, and turbidity. Deployment data are grouped by region (Bay channel (main Bay), Bay shallows, tidal creek, or marsh/mudflat/upper tidal creek). Users are advised check metadata and instrument information carefully for applicable time periods of specific data, as individual instrument deployment times vary.

Tags: california, china-camp, cmgp, coastal-and-marine-geology-program, conductivity, ctd, ctd-measurement, currents, inlandwaters, marin-county, marine-water-quality, ocean-waves, pacific-coastal-and-marine-science-center, pcmsc, physical-oceanography, pressure-sensors, salinity, san-pablo-bay, sediment-transport, shallow-water-habitat, suspended-sediment-concentration, tidal-height, tidal-shallows, time-series-datasets, turbidity, u-s-geological-survey, usgs, usgs-58b0b0c7e4b01ccd54fb2c63, water-depth, water-level-measurements, water-pressure, water-temperature, wave-height, wave-height-gauges, wave-observations
Organization: Department of the Interior
Water pressure/depth, velocity, and turbidity time-series data from CHC13 Bay shallows stations in San Pablo Bay and China Camp Marsh, California

Files contain hydrodynamic and sediment transport data for the location and deployment indicated. Time-series data of water depth, velocity, turbidity, and temperature were collected in San Pablo Bay and China Camp Marsh as part of the San Francisco Bay Marsh Sediment Experiments. Several instruments were deployed in tidal creek, marsh, mudflat, and Bay locations, gathering data on water depth, velocity, salinity/temperature, and turbidity. Deployment data are grouped by region (Bay channel (main Bay), Bay shallows, tidal creek, or marsh/mudflat/upper tidal creek). Users are advised check metadata and instrument information carefully for applicable time periods of specific data, as individual instrument deployment times vary.

Tags: california, china-camp-state-park, cmgp, coastal-and-marine-geology-program, conductivity, ctd, ctd-measurement, current-meters, currents, inlandwaters, marin-county, marine-water-quality, ocean-waves, pacific-coastal-and-marine-science-center, pcmsc, physical-oceanography, pressure-sensors, salinity, san-pablo-bay, sediment-transport, shallow-water-habitat, suspended-sediment-concentration, tidal-height, tidal-shallows, time-series-datasets, turbidity, u-s-geological-survey, usgs, usgs-58b0b072e4b01ccd54fb2c5e, water-depth, water-level-measurements, water-pressure, water-temperature, wave-height, wave-height-gauges, wave-observations
Organization: Department of the Interior
Water pressure/depth, velocity, and turbidity time-series data from CHC13 Bay channel station in San Pablo Bay and China Camp Marsh, California

Files contain hydrodynamic and sediment transport data for the location and deployment indicated. Time-series data of water depth, velocity, turbidity, and temperature were collected in San Pablo Bay and China Camp Marsh as part of the San Francisco Bay Marsh Sediment Experiments. Several instruments were deployed in tidal creek, marsh, mudflat, and Bay locations, gathering data on water depth, velocity, salinity/temperature, and turbidity. Deployment data are grouped by region (Bay channel (main Bay), Bay shallows, tidal creek, or marsh/mudflat/upper tidal creek). Users are advised check metadata and instrument information carefully for applicable time periods of specific data, as individual instrument deployment times vary.

Tags: california, china-camp, cmgp, coastal-and-marine-geology-program, conductivity, ctd, ctd-measurement, current-meters, currents, inlandwaters, marin-county, marine-water-quality, ocean-waves, pacific-coastal-and-marine-science-center, pcmsc, physical-oceanography, pressure-sensors, salinity, san-pablo-bay, sediment-transport, suspended-sediment-concentration, tidal-height, time-series-datasets, turbidity, u-s-geological-survey, usgs, usgs-58b0b017e4b01ccd54fb2c58, water-depth, water-level-measurements, water-pressure, water-temperature, wave-height, wave-height-gauges, wave-observations
Organization: Department of the Interior
Shapefile to accompany Colorado Mineral Belt revisited

Although much discussed in the literature, maps showing the detailed outline of the Colorado Mineral Belt are lacking. Lovering and Goddard (1950) show the geology and mines associated with the "Front Range mineral belt" but do not indicate an outline on plates or figures. Tweto and Sims (1963) published the outline of the Colorado mineral belt as page-size illustrations, differing on each. Sims (unpublished data, 2001) attempted to refine the outline of the Colorado Mineral Belt by sketching on a paper copy of the 1:500,000-scale geologic map (Tweto, 1979), but was lacking additional data layers such as Proterozoic structures based on aeromagnetic data, mines and prospects, to query simultaneously. Based on detailed information on the location of the Tertiary intrusions and mineral deposits, and on the control provided by the Proterozoic structures, all superimposed using GIS, a new outline of the Colorado Mineral Belt is proposed. Four different versions of the mineral belt outline are included in this data release: Tweto and Sims, 1963 (district-based and generalized), Sims (unpublished, 2001), and Wilson and Sims (2003).

Tags: central-minerals-and-environmental-resources-science-center, cmersc, colorado-mineral-belt, economy, geoscientific-iformation, mineral-deposits, mineral-resources, mineral-resources-program, mrp, usgs-58b07161e4b01ccd54fb2b26
Organization: Department of the Interior
Declustered catalog of natural earthquakes without duplicates

The U. S. Geological Survey (USGS) makes long-term seismic hazard forecasts that are used in building codes. The hazard models usually consider only natural seismicity; non-tectonic (man-made) earthquakes are excluded because they are transitory or too small. In the past decade, however, thousands of earthquakes related to underground fluid injection have occurred in the central and eastern U.S. (CEUS), and some have caused damage.  In response, the USGS is now also making short-term forecasts that account for the hazard from these induced earthquakes. A uniform earthquake catalog is assembled by combining and winnowing pre-existing source catalogs. Seismicity statistics are analyzed to develop recurrence models, accounting for catalog completeness. In the USGS hazard modeling methodology, earthquakes are counted on a map grid, recurrence models are applied to estimate the rates of future earthquakes in each grid cell, and these rates are combined with maximum-magnitude models and ground-motion models to compute the hazard. The USGS published a forecast for the years 2016 and 2017.  This data set is the declustered catalog of natural earthquakes without duplicates, restricted to magnitudes greater than or equal to 2.5.

Tags: alabama, arizona, arkansas, colorado, connecticut, delaware, district-of-columbia, earthquake, florida, georgia, hazard, illinois, indiana, 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-58b02f39e4b01ccd54fb2a91, utah, vermont, virginia, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Declustered catalog of induced earthquakes without duplicates

The U. S. Geological Survey (USGS) makes long-term seismic hazard forecasts that are used in building codes. The hazard models usually consider only natural seismicity; non-tectonic (man-made) earthquakes are excluded because they are transitory or too small. In the past decade, however, thousands of earthquakes related to underground fluid injection have occurred in the central and eastern U.S. (CEUS), and some have caused damage.  In response, the USGS is now also making short-term forecasts that account for the hazard from these induced earthquakes. A uniform earthquake catalog is assembled by combining and winnowing pre-existing source catalogs. Seismicity statistics are analyzed to develop recurrence models, accounting for catalog completeness. In the USGS hazard modeling methodology, earthquakes are counted on a map grid, recurrence models are applied to estimate the rates of future earthquakes in each grid cell, and these rates are combined with maximum-magnitude models and ground-motion models to compute the hazard. The USGS published a forecast for the years 2016 and 2017.  This data set is the declustered catalog of induced earthquakes without duplicates, restricted to magnitudes greater than or equal to 2.5.

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, 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-58b02b4ae4b01ccd54fb2a89, utah, vermont, virginia, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Catalog of natural earthquakes without duplicates

The U. S. Geological Survey (USGS) makes long-term seismic hazard forecasts that are used in building codes. The hazard models usually consider only natural seismicity; non-tectonic (man-made) earthquakes are excluded because they are transitory or too small. In the past decade, however, thousands of earthquakes related to underground fluid injection have occurred in the central and eastern U.S. (CEUS), and some have caused damage.  In response, the USGS is now also making short-term forecasts that account for the hazard from these induced earthquakes. A uniform earthquake catalog is assembled by combining and winnowing pre-existing source catalogs. Seismicity statistics are analyzed to develop recurrence models, accounting for catalog completeness. In the USGS hazard modeling methodology, earthquakes are counted on a map grid, recurrence models are applied to estimate the rates of future earthquakes in each grid cell, and these rates are combined with maximum-magnitude models and ground-motion models to compute the hazard. The USGS published a forecast for the years 2016 and 2017.  This data set is the catalog of natural earthquakes without duplicates.  Duplicate events have been removed based on a hierarchy of the source catalogs.  Explosions and mining related events have been deleted.

Tags: alabama, arizona, arkansas, colorado, connecticut, delaware, district-of-columbia, earthquake, florida, georgia, hazard, illinois, indiana, 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-58afe329e4b01ccd54fb259d, utah, vermont, virginia, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Catalog of induced earthquakes without duplicates

The U. S. Geological Survey (USGS) makes long-term seismic hazard forecasts that are used in building codes. The hazard models usually consider only natural seismicity; non-tectonic (man-made) earthquakes are excluded because they are transitory or too small. In the past decade, however, thousands of earthquakes related to underground fluid injection have occurred in the central and eastern U.S. (CEUS), and some have caused damage.  In response, the USGS is now also making short-term forecasts that account for the hazard from these induced earthquakes. A uniform earthquake catalog is assembled by combining and winnowing pre-existing source catalogs. Seismicity statistics are analyzed to develop recurrence models, accounting for catalog completeness. In the USGS hazard modeling methodology, earthquakes are counted on a map grid, recurrence models are applied to estimate the rates of future earthquakes in each grid cell, and these rates are combined with maximum-magnitude models and ground-motion models to compute the hazard. The USGS published a forecast for the years 2016 and 2017.  This data set is the catalog of induced earthquakes without duplicates.  Duplicate events have been removed based on a hierarchy of the source catalogs.  Explosions and mining related events have been deleted.

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, 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-58afdc62e4b01ccd54fb2594, utah, vermont, virginia, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Catalog of natural and induced earthquakes without duplicates

The U. S. Geological Survey (USGS) makes long-term seismic hazard forecasts that are used in building codes. The hazard models usually consider only natural seismicity; non-tectonic (man-made) earthquakes are excluded because they are transitory or too small. In the past decade, however, thousands of earthquakes related to underground fluid injection have occurred in the central and eastern U.S. (CEUS), and some have caused damage.  In response, the USGS is now also making short-term forecasts that account for the hazard from these induced earthquakes. A uniform earthquake catalog is assembled by combining and winnowing pre-existing source catalogs. Seismicity statistics are analyzed to develop recurrence models, accounting for catalog completeness. In the USGS hazard modeling methodology, earthquakes are counted on a map grid, recurrence models are applied to estimate the rates of future earthquakes in each grid cell, and these rates are combined with maximum-magnitude models and ground-motion models to compute the hazard. The USGS published a forecast for the years 2016 and 2017.  This data set is the catalog of natural and induced earthquakes without duplicates.  Duplicate events have been removed based on a hierarchy of the source catalogs.  Explosions and mining related events have been deleted.

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-58afcbcfe4b01ccd54fb2552, utah, vermont, virginia, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Master earthquake catalog composed of pre-existing source catalogs

The U. S. Geological Survey (USGS) makes long-term seismic hazard forecasts that are used in building codes. The hazard models usually consider only natural seismicity; non-tectonic (man-made) earthquakes are excluded because they are transitory or too small. In the past decade, however, thousands of earthquakes related to underground fluid injection have occurred in the central and eastern U.S. (CEUS), and some have caused damage.  In response, the USGS is now also making short-term forecasts that account for the hazard from these induced earthquakes. A uniform earthquake catalog is assembled by combining and winnowing pre-existing source catalogs. Seismicity statistics are analyzed to develop recurrence models, accounting for catalog completeness. In the USGS hazard modeling methodology, earthquakes are counted on a map grid, recurrence models are applied to estimate the rates of future earthquakes in each grid cell, and these rates are combined with maximum-magnitude models and ground-motion models to compute the hazard. The USGS published a forecast for the years 2016 and 2017.  This data set is the master earthquake catalog composed of several pre-existing source catalogs.

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-58afa485e4b01ccd54fa057c, utah, vermont, virginia, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
2015_Glacier margins derived from 2015 satellite imagery for the named glaciers of Glacier National Park, MT and environs

These polygon features represent digitization of the glacier margins for the 37 named glaciers of Glacier National Park (GNP) and two glaciers on U.S. Forest Service’s Flathead National Forest land, derived from 2015 satellite imagery. The polygons represent only the main body portion of each glacier as it appeared in 2015 satellite imagery. Disconnected patches are not included as this dataset represents only the main body features of the named glaciers in GNP and environs. Polygons were digitized from WorldView imagery acquired on the following source dates: 20150822, 20150912, 20150915, 20150925  (World View 01 satellite). Initial digitization was completed by Melissa Brett, PSU graduate student. This set of polygons represents revisions based on supplemental imagery (20140825, 20141019, 20160915 - WorldView-01, oblique images in USGS collection, GoogleEarth collection), and local knowledge and interpretation by Dan Fagre and Lisa McKeon (USGS) in February - August, 2016. A Wacom Pro digital tablet was used by USGS staff to trace outlines and make revisions to the PSU margins. Glaciers were digitized at 1:2000 scale, with lowest off-nadir image chosen when multiple WorldView images were available for the same day. File attributes list specific photos used in analysis, including documentation of the off-nadir angle to determine imagery used. Since multiple images in time series contribute to this analysis, if previous image showed perennial snow that was absent from the glacier (bedrock visible), then that portion was deemed "seasonal/perennial snow" in subsequent photos and not included in the digitization of 2015 glacier margins.

Tags: 2015, alpine-glacier, cryosphere, environment, flathead-national-forest, geoscientificinformation, glacier, glacier-area, glacier-national-park, glacier-retreat, montana, satellite-imagery, snow-and-ice-cover, usgs-58af7988e4b01ccd54f9f608, worldview-1
Organization: Department of the Interior