AndreaBozzo/ceres-open-data-index huggingface dataset:
Soil pH data for 120 point locations within limestone cedar glades at Stones River National Battlefield near Murfreesboro, Tennessee

This dataset contains data collected within limestone cedar glades at Stones River National Battlefield (STRI) near Murfreesboro, Tennessee. This dataset contains measurements of soil pH at certain quadrat locations (points) within 12 selected cedar glades. These measurements were obtained according to the following protocol: (1) for each quadrat location (point), one soil sample was obtained under sterile conditions, using a trowel wiped with methanol and rinsed with distilled water, and was placed into an autoclaved jar with a tight-fitting lid and placed on ice, (2) soil samples were transported to lab facilities on ice and immediately refrigerated, (3) soil samples were transferred to clean aluminum trays and dried at 35 degrees Celcius for 48 hours to produce air-dry soil, (4) air-dry soils were then passed through a number 10 sieve to remove rocks and root fragments, (5) 10 grams of sieved, air-dried soil was added to 10 millileters distilled water in glass jars, (6) capped soil slurry jars were agitated for 60 minutes on a reciprocating shaker, and (7) soil slurry jars were uncapped and left to sit for 30 minutes prior to taking pH readings. Soil pH was measured using a FieldScout SoilStik pH Meter (Spectrum Technologies, Inc., Plainfield, IL, USA) immersed into soil slurries. The pH meter was calibrated using pH standards 7.0 and 10.0, and three pH readings were taken per soil slurry. Soil pH values thus represent the mean of three measurements per sample.Detailed descriptions of experimental design, field data collection procedures, laboratory procedures, and data analysis are presented in Cartwright (2014).References:Cartwright, J. (2014). Soil ecology of a rock outcrop ecosystem: abiotic stresses, soil respiration, and microbial community profiles in limestone cedar glades. Ph.D. dissertation, Tennessee State University.Cofer, M., Walck, J., and Hidayati, S. (2008). Species richness and exotic species invasion in Middle Tennessee cedar glades in relation to abiotic and biotic factors. The Journal of the Torrey Botanical Society, 135(4), 540–553.

Tags: biota, environment, geoscientificinformation, usgs-55afd012e4b09a3b01b51ef7
Organization: Department of the Interior
TEAMER: Wave Energy Converter SIMulator (WEC-SIM) Support for an Adaptive Wave Energy Converter by Ocean Motion Technologies

Scripts from project git repo + tutorial slide deck generated for the TEAMER RFTS 1 (request for technical support) collaborative project between Ocean Motion Technologies, Inc. and Sandia National Laboratories + National Renewable Energy Laboratory. The project simulates an adaptive wave energy converter through CAD, FEA, and analysis code. All materials in this submission are considered proprietary subject to terms and conditions detailed in the CRADA Agreement.

Tags: adaptive-wec, apative, cad, code, energy, fea, github, marine, model, rfts-1, simulator, teamer, wave-energy-coverter, wec, wec-sim
Organization: Department of Energy
Nevada and California Regional Sage-grouse Habitat Suitability Index (August 2014)

This raster represents a continuous surface of sage-grouse habitat probability values for Nevada and California. These values are derived from modeling the resource selection function (RSF) for the region (see supplemental information for more details). Higher values indicate a higher probability of quality sage-grouse habitat.NOTE: This file does not include habitat for the Bi-State management area.Coates, P.S., Casazza, M.L., Brussee, B.E., Ricca, M.A., Gustafson, K.B., Overton, C.T., Sanchez-Chopitea, E., Kroger, T., Mauch, K., Niell, L., Howe, K., Gardner, S., Espinosa, S., and Delehanty, D.J. 2014, Spatially explicit modeling of greater sage-grouse (Centrocercus urophasianus) habitat in Nevada and northeastern California—A decision-support tool for management: U.S. Geological Survey Open-File Report 2014-1163, 83 p., http://dx.doi.org/10.3133/ofr20141163. ISSN 2331-1258 (online)

Tags: biota, environment, nevada-sage-grouse-habitat, usgs-5488bf7de4b02acb4f0c92ab
Organization: Department of the Interior
Interpolated precipitation data (first interval) for 120 point locations within limestone cedar glades at Stones River National Battlefield near Murfreesboro, Tennessee

This dataset contains data collected within limestone cedar glades at Stones River National Battlefield (STRI) near Murfreesboro, Tennessee. This dataset represents interpolated estimates of precipitation (in decimal inches) for 120 quadrat locations (points) within 12 selected cedar glades, for a period of time from 6 days (144 hours) prior to the field visit day up until 3 days (72 hours) prior to the field visit day. At each field visit, precipitation data was collected at four rain gauges installed at STRI. Rain gauge measurements were obtained on the following dates (which correspond to 3 days prior to the fields in the dataset): February 3, 2012; March 2, 2012; March 30, 2012; April 20, 2012; May 22, 2012; June 18, 2012; July 16, 2012; August 20, 2012; September 24, 2012; November 22, 2012, December 14, 2012; January 18, 2013; February 15, 2013; March 16, 2013; April 12, 2013; and May 10, 2013. Points were classified into four groups (identified by the field "Group") and were visited on a rotating sampling schedule, such that each group of points was visited roughly once every four months. ArcGIS version10 software (Esri, Redlands, CA, USA) was used to interpolate a raster surface between these rain gauges so that estimated precipitation values could be assigned to the 120 points used for hydrologic monitoring. First, a raster file was created based on an Inverse Distance Weighted (IDW) algorithm using rain gauge data as inputs, the default output cell size, and the default power of 2. Then, cell values from the interpolated raster were extracted to the 120 hydrologic monitoring points. Missing values (points not measured on a given day) are indicated by the value -99999.Detailed descriptions of experimental design, field data collection procedures, laboratory procedures, and data analysis are presented in Cartwright (2014).References:Cartwright, J. (2014). Soil ecology of a rock outcrop ecosystem: abiotic stresses, soil respiration, and microbial community profiles in limestone cedar glades. Ph.D. dissertation, Tennessee State University.Cofer, M., Walck, J., and Hidayati, S. (2008). Species richness and exotic species invasion in Middle Tennessee cedar glades in relation to abiotic and biotic factors. The Journal of the Torrey Botanical Society, 135(4), 540–553.

Tags: climatologymeteorologyatmosphere, environment, geoscientificinformation, usgs-55afcc4ae4b09a3b01b51d89
Organization: Department of the Interior
Interpolated precipitation data (second interval) for 120 point locations within limestone cedar glades at Stones River National Battlefield near Murfreesboro, Tennessee

This dataset contains data collected within limestone cedar glades at Stones River National Battlefield (STRI) near Murfreesboro, Tennessee. This dataset represents interpolated estimates of precipitation (in decimal inches) for 120 quadrat locations (points) within 12 selected cedar glades, for a period of time from 3 days (72 hours) prior to the day of measurement up until the day of measurement. At each field visit, precipitation data was collected at four rain gauges installed at STRI. Rain gauge measurements were obtained on the following dates (which correspond to the fields in the dataset): February 6, 2012; March 5, 2012; April 2, 2012; April 23, 2012; May 25, 2012; June 21, 2012; July 19, 2012; August 23, 2012; September 27, 2012; November 5, 2012; December 17, 2012; January 21, 2013; February 18, 2013; March 19, 2013; April 15, 2013; and May 13, 2013. Points were classified into four groups (identified by the field "Group") and were visited on a rotating sampling schedule, such that each group of points was visited roughly once every four months. ArcGIS version 10 software (Esri, Redlands, CA, USA) was used to interpolate a raster surface between these rain gauges so that estimated precipitation values could be assigned to the 120 points used for hydrologic monitoring. First, a raster file was created based on an Inverse Distance Weighted (IDW) algorithm using rain gauge data as inputs, the default output cell size, and the default power of 2. Then, cell values from the interpolated raster were extracted to the 120 hydrologic monitoring points. Missing values (points not measured on a given day) are indicated by the value -99999.Detailed descriptions of experimental design, field data collection procedures, laboratory procedures, and data analysis are presented in Cartwright (2014).References:Cartwright, J. (2014). Soil ecology of a rock outcrop ecosystem: abiotic stresses, soil respiration, and microbial community profiles in limestone cedar glades. Ph.D. dissertation, Tennessee State University.Cofer, M., Walck, J., and Hidayati, S. (2008). Species richness and exotic species invasion in Middle Tennessee cedar glades in relation to abiotic and biotic factors. The Journal of the Torrey Botanical Society, 135(4), 540–553.

Tags: climatologymeteorologyatmosphere, environment, geoscientificinformation, usgs-55afcbf3e4b09a3b01b51d6d
Organization: Department of the Interior
Ground-surface characterization data for 150 point locations within limestone cedar glades at Stones River National Battlefield near Murfreesboro, Tennessee

This dataset contains data collected within limestone cedar glades at Stones River National Battlefield (STRI) near Murfreesboro, Tennessee. This dataset represents data collected at 150 quadrat locations (points) within 12 selected cedar glades and contains quantitative characterizations of the ground surface, measurements of depth to bedrock (soil depth), and calculations of canopy coverage based on digital photography. When combined with the hydrologic and soil chemical and microbiological datasets described in the summary section, this information can be used to evaluate relationships between abiotic stressors (such as extreme hydrologic conditions, extreme temperatures, or thin soils) and soil microbial indicators. This information can also be used to explore the factors governing hydrologic conditions within these cedar glades. Missing values are indicated by the value -99999.Detailed descriptions of experimental design, field data collection procedures, laboratory procedures, and data analysis are presented in Cartwright (2014).References:Cartwright, J. (2014). Soil ecology of a rock outcrop ecosystem: abiotic stresses, soil respiration, and microbial community profiles in limestone cedar glades. Ph.D. dissertation, Tennessee State University.Cofer, M., Walck, J., and Hidayati, S. (2008). Species richness and exotic species invasion in Middle Tennessee cedar glades in relation to abiotic and biotic factors. The Journal of the Torrey Botanical Society, 135(4), 540–553.

Tags: biota, environment, geoscientificinformation, usgs-55afcb8be4b09a3b01b51d3c
Organization: Department of the Interior
Ground-surface temperature data for 120 point locations within limestone cedar glades at Stones River National Battlefield near Murfreesboro, Tennessee

This dataset contains data collected within limestone cedar glades at Stones River National Battlefield (STRI) near Murfreesboro, Tennessee. This dataset represents data collected at 120 quadrat locations (points) within 12 selected cedar glades and contains measurements of ground surface temperature for each point. Measurements were obtained on the following dates (which correspond to the fields in the dataset): February 6, 2012; March 5, 2012; April 2, 2012; April 23, 2012; May 25, 2012; June 21, 2012; July 19, 2012; August 23, 2012; September 27, 2012; November 5, 2012; December 17, 2012, January 21, 2013, February 18, 2013; March 19, 2013; April 15, 2013; and May 13, 2013; Points classified into four groups (identified by the field "Group") and were visited on a rotating sampling schedule, such that each group of points was visited roughly once every four months. Ground-surface temperature was measured in degrees Celcius (degrees C) using a Taylor 1523 indoor/outdoor digital thermometer and hygrometer (Taylor Inc., Oak Brook, IL, USA), placed on the ground surface. One ground-surface temperature measurement was taken at each point. Missing values (points not measured on a given day) are indicated by the value -99999.Detailed descriptions of experimental design, field-data collection procedures, laboratory procedures, and data analysis are presented in Cartwright (2014). Use of trade, firm, or product names is for identification purposes only and does not imply endorsement by the U.S. Government.
References:
Cartwright, J.C., 2014, Soil ecology of a rock outcrop ecosystem--abiotic stresses, soil respiration, and microbial community profiles in limestone cedar glades: Nashville, TN, Ph.D. dissertation, 224 p.
Cofer, M., Walck, J., and Hidayati, S. (2008). Species richness and exotic species invasion in Middle Tennessee cedar glades in relation to abiotic and biotic factors. The Journal of the Torrey Botanical Society, 135(4), 540–553.

Tags: biota, environment, geoscientificinformation, inlandwaters, usgs-55afcb00e4b09a3b01b51d0d
Organization: Department of the Interior
Defined Map Units of the seafloor of Boston Harbor and Approaches (BOTTOMTYPE, UTM 19, WGS84)

This data is a qualitatively-derived interpretative polygon shapefile defining the bottom types of the seafloor from Boston Harbor and the harbor approaches, Massachusetts. Approximately 170 km square of sidescan sonar and bathymetric data were collected by the National Oceanic and Atmospheric Administration (NOAA) Ship Whiting in 2000 and 2001 and reprocessed and gridded by the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS).

Tags: atlantic-ocean, backscatter, bathymetry, boston, boston-harbor, boston-harbor-islands, bottom-type, cmgp, coastal-and-marine-geology-program, czm, esri-shapefile, field-activity-serial-number-rafa04019, geoscientificinformation, geospatial-datasets, hubline, hull, hydrographic-survey, interpretation, marine-geology, massachusetts-bay, massachusetts-office-of-coastal-zone-management, nahant, national-ocean-service, national-oceanic-and-atmospheric-administration, noaa, noaa-ship-whiting, nos, oceans, scientific-interpretation, sea-floor, sea-floor-characteristics, seafloor, slope, topography, u-s-geological-survey, usgs, usgs-55968327-4423-4130-accb-364a35365492, whsc, woods-hole-science-center
Organization: Department of the Interior
Water Quality Data Analyses in the Canadian River Basin, 1939-2013

Summary of statistics, regression analyses, LOADEST regressions, mean annual flow-weighted concentrations/values, and Kendal tau trend
analyses of flow-weighted constituent concentrations of dissolved chloride, suspended sediment, dissolved oxygen, pH, and Temperature values of water samples collected intermittently at USGS streamgages on the Canadian River or its tributaries from northeastern New Mexico, to Lake Eufaula in Oklahoma from 1949-2013. Water-quality data were retrieved from the USGS NWIS system in 2014.

Tags: streamflow, usgs-551ea2dae4b027f0aee3b8d0
Organization: Department of the Interior
F4100300001D.TIF - FEMA Flood Insurance Rate Maps for the Seaside-Gearhart, Oregon, Area: Gearhart

FEMA's Flood Insurance Rate Map (FIRM) depicts the spatial extent of Special Flood Hazard Areas (SFHAs) and other thematic features related to flood risk assessment. FIRMs also provide a basis for establishing flood insurance coverage premium rates offered through the National Flood Insurance Program (NFIP).  These maps were published as paper documents, which have been scanned into image files (TIFF) as part of FEMA's FIRM modernization process. This is one of three scanned maps for the Seaside-Gearhart area - 410030 0001 D, 410032 0001 C, and 410032 0002 C - that were georeferenced for the probabilistic tsunami hazard assessment project.

Tags: cmgp, coastal-and-marine-geology-program, coastal-geology, environment, fema-firm-flood-insurance-rate-map, gearhart, geoscientificinformation, geospatial-datasets, geotiff-image, imagerybasemapsearthcover, north-america, north-pacific-ocean, oceans, oregon, probabilistic-tsunami-hazard-assessment, ptha, seaside, tsunami-hazard, tsunami-probability, tsunamis, u-s-geological-survey, united-states, usa, usgs, usgs-52c10593-ab3d-415e-9470-a6267848c858, wcmg, western-coastal-and-marine-geology
Organization: Department of the Interior
Hurricane Florence Assessment of Potential Coastal Change Impacts: NHC Advisory 57, 1100 AM EDT THU SEP 13 2018

This dataset defines storm-induced coastal erosion hazards for the Georgia, South Carolina, North Carolina, Virginia, Maryland, Delaware, New Jersey and New York coastline. The analysis was based on a storm-impact scaling model that used observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast would respond to the direct landfall of Hurricane Florence in September 2018. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of the three types of coastal change: collision (dune erosion), overwash, and inundation. All hydrodynamic and morphologic variables are included in this dataset.

Tags: bathymetry-and-elevation, cmgp, coastal, coastal-and-marine-geology-program, coastal-processes, delaware, distributions, effects-of-coastal-change, elevation, environment, erosion, georgia, geoscientificinformation, hazards, hurricane-florence, hurricanes-and-typhoons, marine-geology, maryland, new-jersey, new-york, north-carolina, ocean-sciences, oceans, physical-habitats-and-geomorphology, shoreline-accretion, shoreline-erosion, south-carolina, spcmsc, st-petersburg-coastal-and-marine-science-center, storm-erosion, topographic-mapping, u-s-geological-survey, united-states-of-america, usgs, usgs-52d856fe-68c2-4a13-98e5-d917b4522a2e, virginia
Organization: Department of the Interior
GMX_Q09.TIF - U.S. Gulf of Mexico EEZ GLORIA sidescan-sonar data mosaic (9 of 16) (ACEA, 50 m, Clarke1866)

During February 1982 and again from August 7 to October 22, 1985 the U.S. Geological Survey (USGS) conducted four cruises to cover the U.S. Gulf of Mexico Continental Margin Exclusive Economic Zone (EEZ) seaward of the continental shelf edge. As in earlier EEZ reconnaissance surveys, the USGS utilized the GLORIA (Geological LOng-Range Inclined Asdic) sidescan-sonar system to complete the geologic mapping. The collected GLORIA data were processed and digitally mosaicked to produce continuous imagery of the seafloor. A total of 16 digital mosaics of a 2 degree by 2 degree (or smaller) area with a 50-meter pixel resolution were completed for the Gulf of Mexico region.

Tags: acoustic-receivers, acoustic-reflectivity, backscatter, cmgp, coastal-and-marine-geology-program, continental-island-rise, continental-island-slope, continental-margin, continental-rise, continental-shelf, continental-slope, distributions, eez, exclusive-economic-zone, exclusive-economic-zone-eez, florida-escarpment, floridian-ecoregion, geological-long-range-inclined-asdic, geoscientificinformation, geotiff-image, gloria, gloria-gt-geological-long-range-inclined-asdic, grey-scale-image, gulf-of-mexico, image-mosaics, imagerybasemapsearthcover, infobank-identifier-f-1-85-gm, infobank-identifier-f-2-85-gm, infobank-identifier-f-3a-85-gm, infobank-identifier-f-7-82-gm, marine-basin-floor, marine-geology, marine-geophysics, marine-oceanic, mississippi-canyon-and-fan, northern-gulf-of-mexico-ecoregion, ocean-gt-atlantic-ocean, ocean-gt-atlantic-ocean-gt-north-atlantic-ocean, ocean-gt-atlantic-ocean-gt-north-atlantic-ocean-gt-gulf-of-mexico, oceans, oceans-gt-ocean-acoustics-gt-acoustic-reflectivity, physical-habitats-and-geomorphology, sea-floor-acoustic-reflectivity, sea-floor-characteristics, seabed, side-scan-sonar, sidescan-sonar, sidescan-sonar-mosaic, sigsbee-escarpment, u-s-geological-survey, usgs, usgs-52e79425-139e-465c-a9b7-205e9cb88c36, whsc, whsc-cruise-identifier-82farn-7, whsc-cruise-identifier-frnl-85-leg-1, whsc-cruise-identifier-frnl-85-leg-2, whsc-cruise-identifier-frnl-85-leg-3, whsc-serial-number-82005, whsc-serial-number-85027, whsc-serial-number-85028, whsc-serial-number-85034, woods-hole-science-center
Organization: Department of the Interior
BITH2014_VillageCreekCorridorUnit_EAARLB_FS_z15_n88g12A_mosaic_metadata: EAARL-B Topography—Big Thicket National Preserve: Village Creek Corridor Unit, Texas, 2014

A first-surface topography Digital Surface Model (DSM) mosaic for the Village Creek Corridor Unit of Big Thicket National Preserve in Texas was produced from remotely sensed, geographically referenced elevation measurements collected on January 19, 21, 22, 23, 26, 27, and 29, 2014 by the U.S. Geological Survey, in cooperation with the National Park Service - Gulf Coast Network. Elevation measurements were collected over the area using the second-generation Experimental Advanced Airborne Research Lidar (EAARL-B), a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography. The system uses high-frequency laser beams directed at the Earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The plane travels over the target area at approximately 55 meters per second at an elevation of approximately 300 meters, resulting in a laser swath of approximately 240 meters with an average point density of 1.4 points per square meter. A peak sampling rate of 15-30 kilohertz results in an extremely dense spatial elevation dataset. More than 100 kilometers of coastline can be surveyed easily within a 3- to 4-hour mission. When resultant elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding land development.

Tags: airborne-lidar-processing-system, alps, altimetry, bathymetry-and-elevation, big-thicket-national-preserve, cessna-310, dem, digital-elevation-model, digital-elevation-models, distributions, doi-usgs-cmg-gt-coastal-and-marine-geology-u-s-geological-survey-u-s-department-of-interior, eaarl-b, elevation, experimental-advanced-airborne-research-lidar, hardin-county, land-surface-gt-topography-gt-terrain-elevation, laser-altimetry, lidar, lidar-gt-light-detection-and-ranging, remote-sensing, texas, topographic-mapping, topography, usgs-5301aec0-dcdc-4d01-ac70-78de32ab2bb4, village-creek-corridor-unit
Organization: Department of the Interior