AndreaBozzo/ceres-open-data-index huggingface dataset:
SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Interim Data Product, Version 2.0

The SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Interim Geophysical Data Record (IGDR) Version 1.0 dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides atmospheric water vapor and liquid water content from the Advanced Microwave Radiometer (AMR), a Jason-class radiometer that measures sea surface brightness temperatures at three microwave frequencies (18.7, 23.8 and 34 GHz). Brightness temperatures are processed to estimate the wet troposphere content, atmospheric attenuation to backscatter, cloud liquid water, water vapor content, and wind speed coincident with each range measurement from the nadir altimeter and applied to correct for altimeter range delays caused by atmospheric effects. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally.
The interim radiometer dataset consists of discrete measurements along two tracks located approximately 30-km to the left and right of the satellite nadir. The data were processed using the Medium-accuracy (preliminary) Orbit Ephemeris (MOE) with preliminary calibrations applied. They are distributed as one file per half-orbit in netCDF4 file format with a nominal latency of < 1.5 days.

Tags: atmosphere, atmospheric-water-vapor, atmospheric-winds, clouds, cryosphere, earth-science, geological-features, microwave, oceans, radar, sea-ice, spectral-engineering
Organization: National Aeronautics and Space Administration
Multi-sensor core logger (MSCL) data of vibracores and bob-cores collected in Lake Ozette, from 2019 to 2021

This dataset includes multi-sensor core logger (MSCL) data from sediment cores collected in Lake Ozette, Washington. The sediment cores were collected during USGS field activities 2019-622-FA and 2021-641-FA for investigating submarine landslide deposits triggered by large Cascadia Subduction Zone earthquakes.

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, core-analysis, geoscientificinformation, geospatial-datasets, oceans, olympic-wilderness, ozette-lake, ozette-river, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, sediment, state-of-washington, substrate, u-s-geological-survey, usgs, usgs-df37acd4-f390-4473-a3e8-c86659812b2d
Organization: Department of the Interior
VIIRS/JPSS1 Sea Ice Cover Daily L3 Global 375m EASE-Grid 2.0 Day V002

This data set reports sea ice cover/extent derived from radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS). Following the approach used by MODIS, the algorithm converts VIIRS calibrated radiances into brightness temperature and computes sea ice cover using Normalized Difference Snow Index (NDSI).

VIIRS flies on board the Joint Polar Satellite System 1 (JPSS-1), also known as NOAA-20.

Tags: cryosphere, earth-science, sea-ice
Organization: National Aeronautics and Space Administration
Archive of Boomer Subbottom Data Collected During USGS Cruise DIAN 96040, Fire Island, New York, 4-24 September 1996

This DVD-ROM contains digital high resolution seismic reflection data
collected during the USGS DIAN 97011 cruise. The coverage is the nearshore
of Long Island, NY in the vicinity of Fire Island. The seismic-reflection
data are stored as SEG-Y standard format that can be read and manipulated
by most seismic-processing software. Much of the information specific to
the data are contained in the headers of the SEG-Y format files. The file
system format is ISO 9660 which can be read with DOS, Unix, and MAC
operating systems with the appropriate DVD-ROM driver software installed.

Tags: atlantic-ocean, boomer, distributions, dvd, field-activity-96040, fire-island, geopulse, geoscientificinformation, long-island-inner-shelf, marine-geophysics, new-york, ny, oceans, seg-y, seismic-reflection, seismic-reflection-methods, seismic-reflection-profiling, sub-bottom-profiling, substrate, u-s-geological-survey, usgs, usgs-df29b1f4-8eb4-422f-8408-f7d409edaa96
Organization: Department of the Interior
Digital map of specific yield for High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming

This digital data set consists of specific yield percentage
contours and polygons for the High Plains aquifer in the central
United States.  The High Plains aquifer extends from south of 32
degrees to almost 44 degrees north latitude and from 96 degrees
30 minutes to almost 106 degrees west longitude.  The outcrop
area covers 174,000 square miles and is present in Colorado,
Kansas, Nebraska, New Mexico, Oklahoma, Texas, South Dakota, and
Wyoming.
		
This digital data set was created by digitizing the specific
yield percentage contours from a 1:1,000,000 base map created by
the U.S. Geological Survey High Plains Regional Aquifer-System
Analysis (RASA) project (Gutentag, E.D., Heimes, F.J., Krothe,
N.C., Luckey, R.R., and Weeks, J.B., 1984, Geohydrology of the
High Plains aquifer in parts of Colorado, Kansas, Nebraska, New
Mexico, Oklahoma, South Dakota, Texas, and Wyoming: U.S.
Geological Survey Professional Paper 1400-B, 63 p.)  The data
should not be used at scales larger than 1:1,000,000.

Tags: aquifer-boundary, aquifers, environment, geoscientificinformation, great-plains-region, ground-water, groundwater, high-plains, high-plains-aquifer, inlandwaters, ogallala-aquifer, ogallala-formation, specific-yield, usgs-df1a9480-1061-4677-9dca-3843d3d83d85, western-u-s
Organization: Department of the Interior
Gazetteer of Planetary Nomenclature: Saturnian System: Epimetheus

These images display several of Saturn's moons approved by the International Astronomical Union (IAU).

Tags: dione, enceladus, epimetheus, hyperion, iapetus, imagery, images, janus, mimas, moons, phoebe, rhea, saturn, tethys, titan, usgs, working-group-for-planetary-system-nomenclature
Organization: National Aeronautics and Space Administration
Estimates of the Soil Restrictive Layer in the Upper 25,35,45, and 55 centimeters of agricultural land in the conterminous United States

This dataset consists of four national 1-kilometer (km) resolution
rasters of the estimated percent presence of the soil restrictive layer
(SRL) in the upper 25, 35, 45, and 55 centimeters of agricultural land.
These rasters were developed from selected criteria of soil parameters
from the Soil Survey Geographical (SSURGO) database and mapped
agricultural land from the National Land Cover Database 2001 (NLCD 2001),
version 2.

Tags: agricultural-land, inlandwaters, national-water-quality-assessment-program, nawqa, soil-restrictive-layer, soil-survey-geographic-database, srl, ssurgo, usgs-deef82ff-5ff1-4e73-ba33-3d3aadf6fd37, warp, watershed-regressions-for-pesticides-model
Organization: Department of the Interior
Machine Learning for Earth Observation Flight Planning Optimization

This paper is a progress report of an effort whose goal is to demonstrate the effectiveness of automated data mining and planning for the daily management of Earth Science missions. Currently, data mining and machine learning technologies are being used by scientists at research labs for validating Earth science models. However, few if any of these advancedtechniques are currently being integrated into daily mission operations. Consequently, there are significant gaps in the knowledge that can be derived from the models and data that are used each day for guiding mission activities. The result can be sub-optimal observation plans, lack of useful data, and wasteful use of resources. Recent advances in data mining, machine learning, and planning make it feasible to migrate these technologies into the daily mission planning cycle. This paper describes the design of a closed loop system for data acquisition, processing, and flight planning that integrates the results of machine learning into the flight planning process.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework

This paper explores how the remaining useful life (RUL) can be assessed for complex systems whose internal state variables are either inaccessible to sensors or hard to measure under operational conditions. Consequently, inference and esti- mation techniques need to be applied on indirect measurements, anticipated operational conditions, and historical data for which a Bayesian statistical approach is suitable. Models of electrochem- ical processes in the form of equivalent electric circuit parame- ters were combined with statistical models of state transitions, aging processes, and measurement fidelity in a formal frame- work. Relevance vector machines (RVMs) and several different particle filters (PFs) are examined for remaining life prediction and for providing uncertainty bounds. Results are shown on battery data.1

Index Terms—Battery health, Bayesian learning, particle filter, prognostics, relevance vector machine, remaining useful life.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
VIIRS/NPP Snow Cover 6-Min L2 Swath 375m V002

This data set reports snow cover using radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS) on board the Suomi National Polar-orbiting Partnership (NPP) satellite. Snow cover is identified using the Normalized Difference Snow Index (NDSI) and a series of quality control screens.

Tags: cryosphere, earth-science, snow-ice
Organization: National Aeronautics and Space Administration
LANDFIRE Remap Fuel Vegetation Height (FVH) CONUS

The LANDFIRE (LF) Remap Fuel Vegetation Height (FVH) represents a modified pre-disturbance version of the Existing Vegetation Height (EVH) product from previous LF versions. LF Remap EVH is mapped as continuous estimates of canopy height for tree, shrub, and herbaceous lifeforms with a potential range from 0m to 50m or more. To translate continuous EVH values into fuel model assignments, EVH values are binned to new groups to improve canopy fuel predictions. FVH leverages fuel transition assignments related to disturbed areas by re-establishing pre-disturbance vegetation and was developed using the full suite of LF vegetation releases and the most recent 10 years of disturbance data. FVH is a capable fuels product that calculates Time Since Disturbance (TSD) assignments for disturbed areas using an effective year. For example, year 2019 fuels may be calculated for the year 2019. This new process considers all the existing disturbances included in LF Remap and adjusts the TSD for these to the effective year (2019 in this example), making the products "2019 capable fuels." More information about capable fuels can be found at https://www.landfire.gov/lf_remap.php

Tags: biota, conterminous-united-states, continental-u-s, conus, evh, existing-vegetation-height, fires, fuel-vegetation-height, fvh, geographic-information-systems, geospatial-datasets, hazard-preparedness, image-collections, imagerybasemapsearthcover, landfire-2016, landfire-remap, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-dee20085-ca11-43a8-8240-e50b459f8ca4
Organization: Department of the Interior
GLAS/ICESat L2 Global Thin Cloud/Aerosol Optical Depths Data (HDF5) V033

GLAH11 Level-2 thin cloud/aerosol optical depths data contain thin cloud and aerosol optical depths. A thin cloud is one that does not completely attenuate the lidar signal return, which generally corresponds to clouds with optical depths less than about 2.0. Each data granule has an associated browse product.

Tags: aerosols, atmosphere, clouds, earth-science
Organization: National Aeronautics and Space Administration
An Advanced Learning Framework for High Dimensional Multi-Sensor Remote Sensing Data Project

&lt;p&gt;
	Improve the use of land cover data by developing an advanced framework for robust classification using multi-source datasets:&lt;br /&gt;
	Develop, validate and optimize a generalized multi-kernel, active learning (MKL-AL) pattern recognition framework for multi-source data fusion.&lt;br /&gt;
	Develop both single- and ensemble-classifier versions (MKL-AL and Ensemble-MKL-AL) of the system.&lt;br /&gt;
	Utilize multi-source remotely sensed and in situ data to create land-cover classification and perform accuracy assessment with available labeled data; utilize first results to query new samples that, if inducted into the training of the system, will significantly improve classification performance and accuracy.&lt;br /&gt;
	&amp;nbsp;&lt;/p&gt;

Tags: active, nasa-headquarters, project
Organization: National Aeronautics and Space Administration
Airborne geophysical survey: Panamint Dunes, California

Aeromagnetic data were collected along flight lines by instruments in an
aircraft that recorded magnetic-field values and locations.  This dataset
presents latitude, longitude, altitude, and magnetic-field values.

Tags: aeromagnetic-data, aeromagnetic-surveying, airborne-surveys, ca, california, f06027-inyo, field-monitoring-stations, geophysical-surveys, geophysics, geospatial-datasets, magnetic, magnetic-field-earth, magnetic-surveys, panamint-dunes, residual-magnetic-field, total-field, united-states, usgs-ded48cc3-08c6-4b4d-ba21-8cef7a4d2869
Organization: Department of the Interior
Distributed Anomaly Detection Using Satellite Data From Multiple Modalities

There has been a tremendous increase in the volume of Earth Science data over the last decade from modern satellites, in-situ sensors and different climate models. All these datasets need to be co-analyzed for finding interesting patterns or for searching for extremes or outliers. Information extraction from such rich data sources using advanced data mining methodologies is
a challenging task not only due to the massive volume of data, but also because these datasets are physically stored at different geographical locations. Moving these petabytes of data over the network to a single location may waste a lot of bandwidth, and can take days to finish. To solve this
problem, in this paper, we present a novel algorithm which can identify outliers in the global data without moving all the data to one location. The algorithm is highly accurate (close to 99%) and requires centralizing less than 5% of the entire dataset. We demonstrate the performance of the
algorithm using data obtained from the NASA MODerate-resolution Imaging Spectroradiometer
(MODIS) satellite images.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Digital data sets that describe aquifer characteristics of the Antlers aquifer in southeastern Oklahoma

This data set consists of digitized water-level elevation
contours for the Antlers aquifer in southeastern Oklahoma. The
Early Cretaceous-age Antlers Sandstone is an important source of
water in an area that underlies about 4,400-square miles of all
or part of Atoka, Bryan, Carter, Choctaw, Johnston, Love,
Marshall, McCurtain, and Pushmataha Counties. The Antlers
aquifer consists of sand, clay, conglomerate, and limestone in
the outcrop area. The upper part of the Antlers aquifer consists
of beds of sand, poorly cemented sandstone, sandy shale, silt,
and clay. The Antlers aquifer is unconfined where it outcrops in
about an 1,800-square-mile area.
		
The water-level elevation contours were digitized from a mylar
map at a scale of 1:250,000 that was used to prepare a final map
published at a scale of 1:500,000 in a ground-water modeling
report. Water levels measured in wells in 1970 were used to
construct the map. The water-level elevation contours for the
Antlers aquifer in Texas are not included in this data set. The
digital data set contains water-level elevations that range from
300 feet (in the east) to 900 feet (in the west) above sea level
or the National Geodetic Vertical Datum of 1929.

Tags: antlers-aquifer, antlers-sandstone, aquifers, environment, geoscientificinformation, ground-water, ground-water-level-elevation, ground-water-level-elevation-contours, ground-water-levels, ground-water-vulnerability, groundwater, groundwater-level-elevation, groundwater-level-elevation-contours, groundwater-levels, groundwater-vulnerability, inlandwaters, usgs-ded3ed9e-5544-431f-a9ca-ee6add180b5f, water-level-contours, water-level-elevation, water-level-elevation-contours, water-levels
Organization: Department of the Interior
Land Surface Reflectance -GLS2005

The surface reflectance CDR is generated from specialized software called Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS). LEDAPS was originally developed through a National Aeronautics and Space Administration (NASA) Making Earth System Data Records for Use in Research Environments (MEaSUREs)grant by NASA Goddard Space Flight Center (GSFC) and the University of Maryland (Masek et al., 2006). The software applies Moderate Resolution Imaging spectroradiometer (MODIS) atmospheric correction routines to Level-1 Landsat Thematic Mapper (TM) or Enhanced Thematic Mapper Plus (ETM+)data.  Water,vapor, ozone, geopotential height, aerosol optical thickness,and digital elevation are input with Landsat data to the Second Simulation of a Satellite Signal in the Solar Spectrum (6S) radiative transfer models to generate top of atmosphere (TOA)reflectance, surface reflectance, brightness temperature, and masks for clouds, cloud shadows, adjacent clouds, land, and water.  The result is delivered as the Landsat surface reflectance CDR.

Tags: earth-science, land-surface, surface-radiative-properties, topography
Organization: National Aeronautics and Space Administration
TRMM Precipitation Radar Rainfall Rate and Profile L2 1.5 hours V7 (TRMM_2A25) at GES DISC

The new version of these data is in GPM-like format (consistent with the GPM Dual-frequency Radar data format), and can be found under the name GPM_2APR.

The TRMM 2A25 data are estimates of the three-dimensional distribution of rain from the TRMM Precipitation Radar. The average rainfall rate between two pre-defined altitudes is calculated for each beam position. Other output data include parameters of Z-R relationships, integrated rain rate of each beam, range bin numbers of rain layer boundaries, and many intermediate parameters. Iguchi and Meneghini (1994) describe this algorithm.

Pre-Boost (before 7 August 2001): Temporal Resolution: 91.5 min/orbit ~ 16 orbits/day; Swath Width: 215 km; Horizontal Resolution: 4.3 km 

Post-Boost (after 24 August 2001): Temporal Resolution: 92.5 min/orbit ~ 16 orbits/day; Swath Width: 247 km; Horizontal Resolution: 5.0 km

Tags: atmosphere, earth-science, precipitation, radar, spectral-engineering
Organization: National Aeronautics and Space Administration
IceBridge LVIS L1B Geolocated Return Energy Waveforms V002

This data set contains return energy waveform data measured over Greenland, Alaska, and Antarctica by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of Operation IceBridge funded campaigns.

Tags: earth-science, infrared-wavelengths, land-surface, spectral-engineering, topography
Organization: National Aeronautics and Space Administration
XLS and CSV tables containing grain-size data from 16 cores collected in 2008 by the U.S. Geological Survey from offshore Puerto Rico and the U.S. Virgin Islands

In 2008, as a collaborative effort between Woods Hole Oceanographic Institution and the U.S. Geological Survey, 20 giant gravity cores were collected from areas surrounding Puerto Rico and the U.S. Virgin Islands. The regions sampled have had many large earthquake and landslide events, some of which are believed to have triggered tsunamis. The objective of this coring cruise, carried out aboard the National Oceanic and Atmospheric Administration research vessel Seward Johnson, was to determine the age of several substantial slope failures and seismite layers near Puerto Rico in an effort to map their temporal distribution. Data gathered from the cores collected in 2008 and 11 archive cores from the Lamont-Doherty Earth Observatory are included in this report. These data include lithologic logs, core summary sheets, x-ray fluorescence, wet-bulk density, magnetic susceptibility, grain-size analyses, radiographs, and radiocarbon age dates.

Tags: anegada-passage, arecibo-amphitheater, atlantic, caribbean, caribbean-sea, cmgp, coastal-and-marine-geology-program, cores, cruise-id-sjhn08008, csv-file, drilling-and-coring, geoscientificinformation, grain-size, grain-size-analysis, gravity-cores, loiza-amphitheater, mona-passage, oceans, puerto-rico, puerto-rico-trench, r-v-seward-johnson, u-s-geological-survey, u-s-virgin-islands, usgs, usgs-ded23753-0e05-4a2d-898b-e3bfdf70bf86, virgin-island-basin, whiting-basin, whsc, whsc-field-activity-2008-008-fa, woods-hole-coastal-and-marine-science-center, xls-spreadsheet
Organization: Department of the Interior
CERES Bidirectional Scans Terra FM1 Edition1-CV

CER_BDS_Terra-FM1_Edition1-CVis the Clouds and the Earth's Radiant Energy System (CERES) Bidirectional Scans (BDS) Terra Flight Model 1 (FM1) Edition1-CV data product,which was collected using the CERES-FM1 instrument on the Terra platform. This data product is intended only to be used for instrument validation purposes and is, therefore, not suited for science publications. Data collection for this product is ongoing. 

Note: Edition1-CV data are for instrument validation purposes only and not suited for science publications.

Each CERES BDS data product contains twenty-four hours of Level-1B data for each CERES scanner instrument mounted on each spacecraft. BDS includes samples taken in normal and short Earth scan elevation profiles in both fixed and rotating azimuth scan modes (including space, internal calibration, and solar calibration views). BDS contains Level-0 raw (unconverted) as well as the geolocated converted science and instrument data. BDS contains additional data not found in the Level-0 input file, including converted satellite position and velocity data, celestial data, converted digital status data, and parameters used in the radiance count conversion equations. CERES is a key component of the Earth Observing System (EOS) program. 

CERES is a key component of the Earth Observing System (EOS) program. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions are a follow-on to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, protoflight model (PFM), was launched on November 27, 1997 as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.

Tags: atmosphere, atmospheric-radiation, earth-science, infrared-wavelengths, sensor-characteristics, spectral-engineering, visible-wavelengths
Organization: National Aeronautics and Space Administration