AndreaBozzo/ceres-open-data-index huggingface dataset:
Surficial and Downcore Sedimentological and Foraminiferal Microfossil Data from St. Marks National Wildlife Refuge, Florida

In October 2019, five marsh push cores (core names appended with M for marsh push core) and 18 surface sediment samples (top 1 cm of sediment) were collected from the estuary (sample name appended G for PONAR grab) near the mouth of the St. Marks River and some of the surrounding marshes (sample name appended with S for surface), along with elevation transects and peat augers (sample name appended with R or R50, depending on length, for Russian peat auger). The purpose of the study was to 1) evaluate peat thickness relative to the shoreline and upland, 2) compare marsh accretion rates with other marshes along the northern Gulf of Mexico, 3) determine whether sea-level or storm history records are recorded and viable, and 4) compare elevation and shoreline data with post-Michael lidar imagery. Cores and surficial sediment samples were processed and analyzed for organic content and grain-size. Cores and select surface samples were analyzed using gamma spectroscopy for determination of background and excess lead-210 with cesium-137, while the modern foraminiferal microfossil assemblage was determined using surface sediment samples. Foraminiferal samples (appended with F for foraminifera) were collected at surface sample sites and stained in the field with rose Bengal for determination of live (stained) and dead (unstained) microfossils. All samples in the dataset are referred to by field activity number (FAN) 2019-366-FA (alternate FAN 19CCT05) and are part of the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center's (USGS-SPCMSC) Estuarine and MaRsh Geology (EMRG) research project, which works to understand how and where short- and long-term marsh and estuarine coastal processes interact, how they influence coastal accretion or erosion, and how they pre-condition a marsh’s resiliency to storms, sea-level change, and human alterations along the northern Gulf of Mexico.

Tags: 19cct05, benthic, biota, bulk-density, elevation, environment, estuary, faunal-and-floral-census-microscopic, field-sampling, florida, foraminifera, forams, fossils, gamma-spectroscopy, geology, geoscientificinformation, gradistat, grain-size, gulf-of-mexico, lithology, location, loi, loss-on-ignition, marsh, marsh-core, microfossil, micropaleontology, oceans, peat-auger, ponar-grab, protists, push-core, push-coring, radiochemistry, rocks-and-deposits, russian-auger, saint-marks, saint-marks-national-wildlife-refuge, sediment, species-data, surface-sample, u-s-geological-survey, unconsolidated-deposits, usgs, usgs-dea89d4c-3d10-4d9b-83d4-1e5a8428ce4a, wakulla, wetland-ecosystems, x-ray
Organization: Department of the Interior
ATLAS/ICESat-2 L3B Mean Inland Surface Water Data V003

ATL22 is a derivative of the continuous Level 3A ATL13 Along Track Inland Surface Water Data product. ATL13 contains the high-resolution, along-track inland water surface profiles derived from analysis of the geolocated photon clouds from the ATL03 product. Starting from ATL13, ATL22 computes the mean surface water quantities with no additional photon analysis. The two data products, ATL22 and ATL13, can be used in conjunction as they include the same orbit and water body nomenclature independent from version numbers.

Tags: earth-science, surface-water, terrestrial-hydrosphere
Organization: National Aeronautics and Space Administration
An Efficient Deterministic Approach to Model-based Prediction Uncertainty

Prognostics deals with the prediction of the end of life (EOL) of a system. EOL is a random variable, due to the presence of process noise and uncertainty in the future inputs to the sys- tem. Prognostics algorithms must account for this inherent uncertainty. In addition, these algorithms never know exactly the state of the system at the desired time of prediction, or the exact model describing the future evolution of the system, accumulating additional uncertainty into the predicted EOL. Prediction algorithms that do not account for these sources of uncertainty are misrepresenting the EOL and can lead to poor decisions based on their results. In this paper, we explore the impact of uncertainty in the prediction problem. We develop a general model-based prediction algorithm that incorporates these sources of uncertainty, and propose a novel approach to efficiently handle uncertainty in the future input trajecto- ries of a system by using the unscented transform. Using this approach, we are not only able to reduce the computa- tional load but also estimate the bounds of uncertainty in a deterministic manner, which can be useful to consider during decision-making. Using a lithium-ion battery as a case study, we perform several simulation-based experiments to explore these issues, and validate the overall approach using experi- mental data from a battery testbed.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Turbidity data for two sites in the coastal marsh at Grand Bay National Estuarine Research Reserve, Mississippi, from October 2016 through October 2017

To understand sediment deposition in marsh environments, scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center (USGS-SPCMSC) selected four study sites in the Grand Bay National Estuarine Research Reserve, Mississippi (GNDNERR). Each site consisted of four plots located along a transect perpendicular to the marsh-estuary shoreline at 5-meter (m) increments (5, 10, 15, and 20 m from the shoreline). Each plot contained four net sedimentation tiles (NST) that were secured flush to the marsh surface using polyvinyl chloride (PVC) pipe. NST are an inexpensive and simple tool to assess short- and long-term deposition that can be deployed in highly dynamic environments without the compaction associated with traditional coring methods. The NST were deployed for three months, measuring quarterly sediment deposition for one year from October 2016 to October 2017. In addition, three NST were deployed at the 10-m plot on October 5th prior to the landfall of Hurricane Nate (October 8, 2017) and retrieved after 12 days, providing measurements of storm deposition. Sediment deposited on the NST were processed to determine physical characteristics, such as deposition thickness, volume, wet weight/dry weight, and organic content (loss-on-ignition [LOI]). When available, additional data collected at each site including water level, elevation, and turbidity data are provided in this data release.  Data were collected during Field Activities Numbers (FAN) 2017-303-FA, 2017-315-FA, 2017-333-FA, 2017-346-FA, and 2017-363-FA (also known as subFANs 17CCT01, 17CCT02, 17CCT03, 17CCT04, and 17CCT05, respectively). Additional survey and data details are available from the U.S. Geological Survey Coastal and Marine Geoscience Data System (CMGDS) at, https://cmgds.marine.usgs.gov/. Please read the full metadata for details on data collection, dataset variables, and data quality.

Tags: coastal-processes, datum, elevation, environment, geoscientificinformation, global-positioning-system, grand-bay-national-estuarine-research-reserve, gulf-of-mexico, location, marsh, mississippi, nerr, oceans, united-states, usgs-de9a49a7-0a3e-41d7-ad53-a9352b7f49e4, water
Organization: Department of the Interior
High Mountain Asia LIS Model Terrestrial Hydrological Parameters V001

The data provided in this data set are simulated using the Noah-Multiparameterization Land Surface Model (Noah-MP LSM) Version 3.6 within the NASA Land Information System (LIS) Version 7.2. The data files contain estimates of water, energy fluxes, and land surface states for the High Mountain Asia (HMA) region.

Tags: atmosphere, atmospheric-radiation, earth-science, land-surface, snow-ice, soils, surface-thermal-properties, terrestrial-hydrosphere
Organization: National Aeronautics and Space Administration
Model-based Prognostics with Concurrent Damage Progression Processes

Model-based prognostics approaches rely on physics-based models that describe the behavior of systems and their components. These models must account for the several different damage processes occurring simultaneously within a component. Each of these damage and wear processes contribute to the overall component degradation. We develop a model-based prognostics methodology that consists of a joint state-parameter estimation problem, in which the state of a system along with parameters describing the damage progression are estimated, followed by a prediction problem, in which the joint state-parameter estimate is propagated forward in time to predict end of life and remaining useful life. The state-parameter estimate is computed using a particle filter, and is represented as a probability distribution, allowing the prediction of end of life and remaining useful life within a probabilistic framework that supports uncertainty management. We also develop a novel variance control algorithm that maintains an uncertainty bound around the unknown parameters to limit the amount of estimation uncertainty and, consequently, reduce prediction uncertainty. We construct a detailed physics-based model of a centrifugal pump that includes damage progression models, to which we apply our model-based prognostics algorithm. We illustrate the operation of the prognostic solution with a number of simulation-based experiments and demonstrate the performance of the approach when multiple damage mechanisms are active.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
References: BSCW

<b>Benchmark Supercritical Wing</b> was also tested on the OTT with oscillations in Pitch.  Only one row of pressure transducers were acquired during these tests.  The time histories for this test (548) are available

The Physical Properties of the BSCW (Benchmark Supercritical Wing are provided in <a href="https://c3.ndc.nasa.gov/dashlink/static/media/other/NASA_TM4457_BSCW.pdf">
NASA TM 4457</a> published 1993.  Note the previous file that was loaded to this website did not have the tables.

Some results for the test are provided in <a href="https://c3.ndc.nasa.gov/dashlink/static/media/other/AIAA_2002-0171_OTT.pdf">AIAA 2002-0171</a> and <a href="https://c3.ndc.nasa.gov/dashlink/static/media/other/AIAA-JA_Vol40_no1_Piatak_OTT.pdf">JOURNAL OF AIRCRAFT article</a>

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Specific Water Quality Sites for Duchesne County, Utah

This map shows specific water-quality items and hydrologic data site
information which come from QWDATA (Water Quality) and GWSI (Ground
Water Information System). Both QWDATA and GWSI are subsystems of
NWIS (National Water Inventory System)of the USGS (United States
Geologic Survey).
		
This map is for Duchesne County, Utah.
		
The scope and purpose of NWIS is defined on the web site:
		
http://water.usgs.gov/public/pubs/FS/FS-027-98/

Tags: alkalinity, ammonia, ammonia-unionize, dissolved-solids, duchesne, duchesne-county, environment, flow-rate, geoscientificinformation, hardness, hardness-total, inlandwaters, nitrogen, nitrogen-nitrate, ph, quality, specific-conductance, state-of-utah, usgs-de8d177f-10ce-4618-a4ad-2f169ab69017, utah, water, water-level, water-quality, water-quality-site, water-temperature
Organization: Department of the Interior
Paleozoic aquifers

This data set represents the extent of the Paleozoic aquifers in the states of 
South Dakota, Wyoming, and Montana.

Tags: aquifer, aquifer-extent, environment, geoscientificinformation, groundwater, inlandwaters, montana, south-dakota, usgs-de8c8630-e041-4942-892d-466d197a88d5, wyoming
Organization: Department of the Interior
Recurring Anomaly Detection System (ReADS)

Overview:  

ReADS can analyze text reports, such as aviation reports and problem or maintenance records.  ReADS uses text clustering algorithms to group loosely related reports and documents, this reduces human error and fatigue.  Plus, ReADS identifies interconnected reports; automating the discovery of possible recurring anomalies.  ReADS provides a visualization of the clusters and recurring anomalies. ReADS has been integrated into a secure web-based search tool to allow uses to perform their own text mining.

 

Recurring Anomaly Identification

ReADS identifies reports which mention other reports as a recurring anomaly using regular expressions to search documents and identify references of other reports by name. ReADS also detects recurring anomalies by determining the similarity between documents using a cosine distance similarity measure.  Then according to the similarity measure, ReADS will run a hierarchical clustering algorithm to detect the recurring anomalies.  The hierarchical tree is partitioned into clusters by setting a threshold. A low threshold implies that the reports must be very similar to be sorted into the same cluster.

 

Here's more [info](http://ti.arc.nasa.gov/projects/pria/).

 

The figure below is a screenshot of the clustering results.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Adaptive Contingency Control: Wind Turbine Operation Integrated with Blade Condition Monitoring

We report here on first steps towards integrating systems health monitoring with adaptive contingency controls. In the scenario considered, the adaptive controller receives specific information about damage to a blade and reacts to turbulent conditions where the blade might incur additional damage. The controller uses an observer to determine when the generator set point should be lowered, thereby causing the blades to be pitched at a lower wind speed. The loads on the blades are reduced when the blades are set at larger pitch angles. This is meant to decrease the damage propagation. The adaptive contingency controller can be tuned to find the optimal trade-off between maximized damage suppression and maximized power generation. Future work will address the assessment of blade health in the presence of turbulent wind conditions.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Marine sparker source SEG-Y seismic data recorded aboard the R/V Parke Snavely during USGS field activity 2021-619-FA offshore Santa Cruz, California in April of 2021

Seismic data were recorded aboard the R/V Parke Snavely (RVPS; source vessel) during USGS field activity 2021-619-FA. Data were recorded with a broadband spherical reference Reson TC4034 hydrophone positioned directly below the SIG ELP790 or the Applied Acoustics Delta sparker source which were towed from the stern of the vessel. Source data were recorded as the R/V Parke Snavely made several passes along 7 different water depth transects and are presented in SEG-Y format. Shot point navigation are provided in an accompanying comma-delimited text file, as well as in a shapefile for visualization purposes. Navigation data for the source and receiver vessels, as well as seismic data from the receiver vessel, sound velocity, and other survey data, are provided elsewhere in this data release.

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, data-processing, field-activity-number-2021-619-fa, geoscientificinformation, geospatial-datasets, global-positioning-system-gps-observations, location, marine-geophysics, monterey-bay, monterey-canyon, oceans, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, r-v-parke-snavely, santa-cruz, seg-y-traces, seismic-methods, seismic-navigation, seismic-refection-profiling, seismic-reflection, shapefile, soquel-canyon, state-of-california, sub-bottom-profiling, u-s-geological-survey, usgs, usgs-de7ba28e-88ad-442b-8858-2ceaecd4956c, water-column-features, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
High Mountain Asia Rasterized PyGEM Glacier Projections with RCP Scenarios V001

This data set comprises a rasterized (gridded) version of the of glacier point data from the Python Glacier Evolution Model (PyGEM) that include projections of glacier mass change, glacier runoff, and the various components associated with changes in mass and runoff.

Tags: cryosphere, earth-science, glaciers-ice-sheets
Organization: National Aeronautics and Space Administration
Beach Profile Data Collected From Madeira Beach, Florida (February 17, 2017)

This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides beach profile data collected at Madeira Beach, Florida. Data were collected on foot by a person equipped with a Global Positioning System (GPS) antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ) along pre-determined transects. The horizontal position data are given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD 83); the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD 88), GEOID12B.

Tags: altimetry, bathymetry-and-elevation, beach, cmgp, coastal-and-marine-geology-program, distributions, doi-usgs-cmg-gt-coastal-and-marine-geology-u-s-geological-survey-u-s-department-of-interior, elevation, elevation-data, florida, geology, geomorphology, geoscientificinformation, global-positioning-system-gps-observations, gps-measurement, gulf-of-mexico, land-surface-gt-topography-gt-terrain-elevation, marine-geology, ocean-gt-coastal-processes-gt-beaches, oceans, spcmsc, st-petersburg-coastal-and-marine-science-center, topographic-mapping, topography, u-s-geological-survey, united-states-of-america, usgs, usgs-de729119-1a15-4195-b9c1-ff39772d17a8
Organization: Department of the Interior
Suomi-NPP VIIRS Level-2 Regional Triple-window Sea Surface Temperature (SST3) Data, version R2016.2

The Visible and Infrared Imager/Radiometer Suite (VIIRS) is a multi-disciplinary instrument that is being flown on the Joint Polar Satellite System (JPSS) series of spacecraft, including the Suomi National Polar-orbiting Partnership (S-NPP) that launched in October 2011.  JPSS is a multi-platform, multi-agency program that consolidates the polar orbiting spacecraft of NASA and the National Oceanic and Atmospheric Administration (NOAA).  S-NPP is the initial spacecraft in this series, and VIIRS is the successor to MODIS for Earth science data product generation.  VIIRS has 22 spectral bands ranging from 412 nm to 12 nm.  There are 16 moderate-resolution bands (750m at nadir), 5 image-resolution bands (375m), and one day-night band (DNB).

Tags: earth-science, ocean-temperature, oceans
Organization: National Aeronautics and Space Administration
Backscatter intensity and sun-illuminated topographic imagery of the seafloor in the Stellwagen Bank National Marine Sanctuary region (bcksctter.tif)

This data set contains the sun-illuminated topographic imagery and backscatter intensity generated from a multibeam sonar survey of the Stellwagen Bank National Marine Sanctuary region off Boston, Massachusetts, an area of approximately 1100 square nautical miles. The Stellwagen Bank NMS Mapping Project is designed to provide detailed maps of the Stellwagen Bank region's environments and habitats and the first complete multibeam topographic and sea floor characterization maps of a significant region of the shallow EEZ.
Data were collected on four cruises over a two year period from the fall of 1994 to the fall of 1996. The surveys were conducted aboard the Canadian Hydrographic Service vessel Frederick G. Creed, a SWATH (Small Waterplane Twin Hull) ship that surveys at speeds of up to 16 knots. The multibeam data were collected utilizing a Simrad Subsea EM 1000 Multibeam Echo Sounder (95 kHz) that is permanently installed in the hull of the Creed.

Tags: atlantic-ocean, backscatter-intensity, bathymetry, boston, cmgp, coastal-and-marine-geology-program, eez, elevation, frederick-g-creed, geographic-information-systems, geoscientificinformation, geospatial-datasets, geotiff-image, gulf-of-maine, image-mosaics, imagerybasemapsearthcover, ma, marine-geology, marine-geophysics, massachusetts, multibeam-echo-sounder, multibeam-sonar, north-atlantic, oceans, psuedo-color-encoded, sbnms, sea-floor-acoustic-reflectivity, sea-floor-characteristics, sea-floor-topography, shaded-relief-imagery, shallow-eez, simrad-subsea-em-1000, stellwagen-bank-national-marine-sanctuary, u-s-geological-survey, usgs, usgs-de6a9ef2-0f4d-4586-aca5-12c55027d0ee, whsc, woods-hole-science-center
Organization: Department of the Interior
AMSR/ADEOS-II L2A Global Swath Spatially-Resampled Brightness Temperatures V001

The AMSR Level-2A product (AA_L2A) contains brightness temperatures at 6.9 GHz, 10.65 GHz, 18.7 GHz, 23.8 GHz, 36.5 GHz, 89.0 GHz, 50.3 GHz, and 52.8GHz. Data are resampled to be spatially consistent except for the 50.3GHz and 52.8GHz data, and therefore are available at a variety of resolutions that correspond to the footprint sizes of the observations such as 56 km, 38 km, 24 km, 21 km, 12 km, and 5.4 km, respectively.

Tags: earth-science, microwave, spectral-engineering
Organization: National Aeronautics and Space Administration
2001 Vectorized Shoreline for Breton Island, Louisiana (Geographic, NAD83)

A first-surface elevation map was produced cooperatively from remotely sensed, geographically referenced elevation measurements collected by the U.S. Geological Survey (USGS) and National Aeronautics and Space Administration (NASA) on September 07-09, 2001. Elevation measurements were collected over the area using the NASA Airborne Topographic Mapper (ATM), a scanning lidar system that measures high-resolution topography of the land surface.  The ATM system is deployed on a Twin Otter or P-3 Orion aircraft and incorporates a green-wavelength laser operating at pulse rates of 2 to 10 kilohertz. Measurements from the laser-ranging device are coupled with data acquired from inertial navigation system (INS) attitude sensors and differentially corrected global positioning system (GPS) receivers to measure topography of the surface at accuracies of +/-15 centimeters. This dataset contains vectorized shorelines created from data acquired from Breton Island, Louisiana. Shorelines were vectorized in ArcMap 10.2.2 so they could be used for area and shoreline change analysis, using the Digital Shoreline Analysis System (DSAS) Version 4.0.

Tags: barrier-island-migration, boundaries, breton-island, coastal, coastal-processes, elevation, environment, erosion, geoscientificinformation, gulf-of-mexico, la, lidar, louisiana, mapping, mean-high-water, oceans, shore, shoreline, shoreline-accretion, shoreline-data, shoreline-erosion, shoreline-map, usa, usgs-de380c22-ab00-4a85-8a21-4fe7f818f597, vectorization
Organization: Department of the Interior
Data from Oceanographer, Lydonia, and Gilbert Canyons acquired in 1965 (SCHWARTZ65 shapefile)

Submarine canyons occur at the edge of the continental shelf and cut across the slope and rise along the U.S. east coast. Three of these canyons (Oceanographer, Lydonia, and Gilbert) are situated south of Georges Bank.  Gravity cores and grab samples were collected as  part of a study of the active processes and sediment distributions within these features. The results of the textural analyses are contained in this data layer.

Tags: atlantic-ocean, clay, cmgp, coastal-and-marine-geology-program, cores, georges-bank, geoscientificinformation, geospatial-datasets, gilbert-canyon, gis, grabs, grain-size, grain-size-analysis, gravel, location, lydonia-canyon, marine-geology, navigational-data, oceanographer-canyon, oceans, open-file-report-03-001, point-shapefile, points, sand, sea-floor-characteristics, sediment, sediment-classification, silt, surficial-classification, texture, u-s-east-coast, u-s-geological-survey, usgs, usgs-de36e72e-adfa-4f94-8bdf-34b110b645fb, whsc, woods-hole-science-center
Organization: Department of the Interior