AndreaBozzo/ceres-open-data-index huggingface dataset:
Inverse Modeling Using a Wireless Sensor Network (WSN) for Personalized Daylight Harvesting

Smart lighting systems in low energy commercial buildings can be expensive to implement and commission. Studies have also shown that only 50% of these systems are used after installation, and those used are not operated at full capacity due to inadequate commissioning and lack of personalization. Wireless sensor networks (WSN) have great potential to enable personalized smart lighting systems for real-time model predictive control of integrated smart building systems. In this paper we present a framework for using a WSN to develop a real-time indoor lighting inverse model as a piecewise linear function of window and artificial light levels, discretized by sub-hourly sun angles. Applied on two days of daylight and ten days of artificial light data, this model was able to predict the light level at seven monitored workstations with accuracy sufficient for daylight harvesting and lighting control around fixed work surfaces. The reduced order model was also designed to be used for long term evaluation of energy and comfort performance of the predictive control algorithms. This paper describes a WSN experiment from an implementation at the Sustainability Base at NASA Ames, a living laboratory that offers opportunities to test and validate information-centric smart building control systems.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Estimation of Faults in DC Electrical Power System

This paper demonstrates a novel optimizationbased
approach to estimating fault states in a DC power
system. The model includes faults changing the circuit topology
along with sensor faults. Our approach can be considered as
a relaxation of the mixed estimation problem. We develop
a linear model of the circuit and pose a convex problem
for estimating the faults and other hidden states. A sparse
fault vector solution is computed by using l1 regularization.
The solution is computed reliably and efficiently, and gives
accurate diagnostics on the faults. We demonstrate a real-time
implementation of the approach for an instrumented electrical
power system testbed at NASA. Accurate estimates of multiple
faults are computed in milliseconds on a PC. The approach
performs well despite unmodeled transients and other modeling
uncertainties present in the system.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Characterizing Variability and Multi-Resolution Predictions

In previous papers, we introduced the idea of a Virtual Sensor,  which is a mathematical model trained to learn the potentially  nonlinear relationships between spectra for a given image scene for the purpose of predicting values of a subset of those spectra when only partial measurements have been taken. Such models can be created for a variety of disciplines including the Earth and Space Sciences as well as engineering domains. These nonlinear relationships are induced by the physical characteristics of the  image scene. In building a Virtual Sensor a key question that arises is that of characterizing the stability of the model as the underlying scene changes. For example, the spectral relationships could change for a given physical location, due to seasonal weather conditions. This paper, based on a talk given at the American Geophysical Union (2005), discusses the stability of predictions through time and also demonstrates the use of a Virtual Sensor in making multi-resolution predictions. In this scenario, a model is trained to learn the nonlinear relationships between spectra at a low resolution in order to predict the spectra at a high resolution.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Gazetteer of Planetary Nomenclature: Asteroids: Ida

These images display asteriods documented and approved by the International Astronomical Union (IAU).

Tags: asteriods, dactyl, eros, gaspra, ida, imagery, images, itokawa, lutetia, mathilde, steins, usgs, vesta, working-group-for-planetary-system-nomenclature
Organization: National Aeronautics and Space Administration
OMPS-NPP L2 NM Aerosol Index swath orbital NRT

The OMPS-NPP L2 NM Aerosol Index swath orbital V2 for Near Real Time. For the standard product see the OMPS_NPP_NMMIEAI_L2  product in CMR .The aerosol index is derived from normalized radiances using 2 wavelength pairs at 340 and 378.5 nm. Additionally, this data product contains measurements of normalized radiances, reflectivity, cloud fraction, reflectivity, and other ancillary variables.

Tags: aerosols, atmosphere, earth-science
Organization: National Aeronautics and Space Administration
California Satellite Data

**Citation**:
#######################
If using this dataset please cite the following in your work:

@misc{VotDasNemSri2010 ,
author = "Petr Votava and Kamalika Das and Rama Nemani and Ashok N. Srivastava",
year = "2010",
title = "MODIS surface reflectance data repository",
url = "https://c3.ndc.nasa.gov/dashlink/resources/331/",
institution = "NASA Ames Research Center" }

Petr Votava, Kamalika Das, Rama Nemani, Ashok N. Srivastava. (2010). MODIS surface reflectance data repository. NASA Ames Research Center. 

**Data Description:**
####################

The California satellite dataset using the MODerate-resolution Imaging Spectroradiometer (MODIS) product MCD43A4 provides reflectance data adjusted using a bidirectional reflectance distribution function (BRDF) to model the values as if they were taken from nadir view.

Both Terra and Aqua data are used in the generation of this product, providing the highest probability for 
quality input data.

More information at: 
https://lpdaac.usgs.gov/lpdaac/products/modis_products_table/nadir_brdf_adjusted_reflectance/16_day_l3_global_500m/v5/combined


**Data Organization:**
####################

The nine data folders correspond to three years of data.Under this top level directory structure are separate files for each band (1 - 7) and each 8-day period of the particular year. Within the period the best observations were selected for each location.


**File Naming Conventions:**
###########################

Each of the files represent a 2D dataset with the naming conventions as follows:

MCD43A4.CA_1KM.005.<YYYYDDD>. <BAND>.flt32

where 
   <YYYYDDD> is the beginning year-day of the period that where YYYY = year and DDD = day of year (001 - 366)

   <BAND> represents the observations in particular (spectral) band (band 1 - band 7) - since the indexing is 0-based,
    the range of indexes on the files is from 0 - 6 (where 0 = band 1, and 6 = band 7)

The spectral band frequencies for the MODIS acquisitions are as follows:
   BAND1	620 - 670 nm
   BAND2	841 - 876 nm 
   BAND3 	459 - 479 nm
   BAND4 	545 - 565 nm
   BAND5	1230 - 1250 nm
   BAND6 	1628 - 1652 nm
   BAND7 	2105 - 2155 nm


**File Specifications:**
######################
Each file is a single 2D dataset.

DATA TYPE: 32-bit floating point (IEEE754) with little-Endian byte ordering
NUMBER OF ROWS: 1203
NUMBER OF COLUMNS: 738
FILL VALUES (observations that are either not valid or not on land, such as ocean etc.): -999.0       


**Overview:**
###########

DATASET: MODIS 8-day Surface Reflectance BRDF-adjusted from Terra and Aqua

COLLECTION: 5

DATA TYPE: IEEE754 float (32-bit float)

BYTE ORDER: LITTLE ENDIAN (Intel)

DIMS: 1203 rows x 738 columns

FILL VALUE: -999.0

SPATIAL RESOLUTION: 1km

PROJECTION: Lambert Azimuthal Equal Area

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Detecting Anomalies in Multivariate Data Sets with Switching Sequences and Continuous Streams

The world-wide aviation system is one of the most complex dynamical systems ever developed and is generating data at an extremely rapid rate. Most modern commercial aircraft record several hundred flight parameters including information from the guidance, navigation, and control systems, the
avionics and propulsion systems, and the pilot inputs into the aircraft. These parameters may be continuous measurements or binary or categorical measurements recorded in one second intervals for the duration of the flight. Currently, most approaches to aviation safety are reactive, meaning
that they are designed to react to an aviation safety incident or accident. Here, we discuss a novel approach based on the theory of multiple kernel learning to detect potential safety anomalies in very large data bases of discrete and continuous data from world-wide operations of commercial fleets. We pose a general anomaly detection problem which includes both discrete and continuous data streams,
where we assume that the discrete streams have a causal influence on the continuous streams. We also assume that atypical sequence of events in the discrete streams can lead to off-nominal system performance. We discuss the application domain, novel algorithms, and also briefly discuss results on
synthetic and real-world data sets. Our algorithm uncovers operationally significant events in high dimensional data streams in the aviation industry which are not detectable using state of the art methods.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
ICESat L4 Seasonal Gridded Sea Ice Thickness V001

This data set reports seasonal gridded winter sea ice thickness across the Arctic Ocean. Sea ice thickness is estimated using ICESat/GLAS L3A Sea Ice Freeboard data and NASA Eulerian Snow On Sea Ice Model (NESOSIM) Version 1.1 snow loading.

This data set is a historical complement to <a href="https://nsidc.org/data/IS2SITMOGR4">ICESat-2 L4 Monthly Gridded Sea Ice Thickness</a>.

Tags: cryosphere, earth-science, sea-ice
Organization: National Aeronautics and Space Administration
Distributed Prognostic Health Management with Gaussian Process Regression

Distributed prognostics architecture design is an enabling step for efficient implementation of health management systems. A major challenge encountered in such design is formulation of optimal distributed prognostics algorithms. In this paper, we present a distributed GPR based prognostics algorithm whose target platform is a wireless sensor network. In addition to challenges encountered in a distributed implementation, a wireless network poses constraints on communication patterns, thereby making the problem more challenging. The prognostics application that was used to demonstrate our new algorithms is battery prognostics. In order to present trade-offs within different prognostic approaches, we present comparison with the distributed implementation of a particle filter based prognostics for the same battery data.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
IceBridge Paroscientific L1B Pressure Altimeter Time-Tagged Air Pressure V001

This data set contains static pressure values for Antarctica using the Paroscientific Digiquartz Transmitter. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC) with additional support from NASA Operation IceBridge.

Tags: atmosphere, atmospheric-pressure, earth-science
Organization: National Aeronautics and Space Administration
AIRS/Aqua L1B Near Real Time (NRT) Infrared (IR) geolocated and calibrated radiances V8.0 (AIRSAQIRL1B_NRT) at GES DISC

The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The AIRS Infrared (IR) level 1B data set contains AIRS calibrated and geolocated radiances in milliWatts/m^2/cm^-1/steradian for 2378 infrared channels in the 3.74 to 15.4 micron region of the spectrum. 

The AIRS Level 1B Near Real Time (NRT) product (AIRSIRAQL1B_NRT_v8.0) differs from the routine product (AIRSAQIRL1B_8) in 2 ways to meet the three hour latency requirements of the Land Atmosphere NRT Capability Earth Observing System (LANCE): (1) The NRT granules are produced without previous or subsequent granules if those granules are not available within 5 minutes, (2) the predictive ephemeris/attitude data are used rather than the definitive ephemeris/attitude. The consequences of these differences are described in the AIRS Near Real Time (NRT) data products document. 

The products are stored in files (often referred to as "granules") that contain 6 minutes of data, 90 footprints across track by 135 lines along track.

Tags: aerosols, atmosphere, atmospheric-chemistry, earth-science, infrared-wavelengths, spectral-engineering
Organization: National Aeronautics and Space Administration
ARC Code TI: Save

Save is a framework for implementing highly available network-accessible services. Save consists of a command-line utility and a small set of extensions for the existing Mon monitoring utility. Mon is a flexible command scheduler that has the ability to take various actions (called 'alerts') depending on the exit conditions of the periodic commands (called 'monitors') it executes. Save provides a set of monitors and alerts that execute within the Mon scheduler.

Tags: mon, monitoring, save, scheduling
Organization: National Aeronautics and Space Administration
NASA 3D Models: ISS (Hi-res)

A very high resolution model of the International Space Station in many parts. The download includes an image of the final configuration. This model is provided in its original Lightwave format, which preserves the configuration of the component parts. This model dates from February 2011.

Tags: 3d-model, international-space-station, iss, satellite, space-stations, spacecraft, structures
Organization: National Aeronautics and Space Administration
SENTINEL-1B_SINGLE_POL_METADATA_GRD_HIGH_RES

Sentinel-1B Single-pol ground projected high and full resolution metadata

Tags: agriculture, biosphere, coastal-processes, cryosphere, earth-science, erosion-sedimentation, forest-science, frozen-ground, geomorphic-landforms-processes, glaciers-ice-sheets, land-surface, land-use-land-cover, landscape, ocean-waves, ocean-winds, oceans, sea-ice, snow-ice, solid-earth, surface-water, tectonics, terrestrial-ecosystems, terrestrial-hydrosphere, topography
Organization: National Aeronautics and Space Administration
High-Resolution QuickBird Imagery and Related GIS Layers for Barrow, Alaska, USA, Version 1

This data set contains high-resolution QuickBird imagery and geospatial data for the entire Barrow QuickBird image area (156.15° W - 157.07° W, 71.15° N - 71.41° N) and Barrow B4 Quadrangle (156.29° W - 156.89° W, 71.25° N - 71.40° N), for use in Geographic Information Systems (GIS) and remote sensing software. The original QuickBird data sets were acquired by DigitalGlobe from 1 to 2 August 2002, and consist of orthorectified satellite imagery. Federal Geographic Data Committee (FGDC)-compliant metadata for all value-added data sets are provided in text, HTML, and XML formats.

Accessory layers include: 1:250,000- and 1:63,360-scale USGS Digital Raster Graphic (DRG) mosaic images (GeoTIFF format); 1:250,000- and 1:63,360-scale USGS quadrangle index maps (ESRI Shapefile format); an index map for the 62 QuickBird tiles (ESRI Shapefile format); and a simple polygon layer of the extent of the Barrow QuickBird image area and the Barrow B4 quadrangle area (ESRI Shapefile format).

Unmodified QuickBird data comprise 62 data tiles in Universal Transverse Mercator (UTM) Zone 4 in GeoTIFF format. Standard release files describing the QuickBird data are included, along with the DigitalGlobe license agreement and product handbooks.

The baseline geospatial data support education, outreach, and multi-disciplinary research of environmental change in Barrow, which is an area of focused scientific interest. Data are provided on four DVDs. This product is available only to investigators funded specifically from the National Science Foundation (NSF), Office of Polar Programs (OPP), Arctic Sciences Section. An NSF OPP award number must be provided when ordering this data.

Tags: earth-science, infrared-wavelengths, land-surface, spectral-engineering, surface-radiative-properties, visible-wavelengths
Organization: National Aeronautics and Space Administration
A Recursive Receding Horizon Planning for Unmanned Vehicles

This paper proposes a recursive receding horizon path planning algorithm for unmanned vehicles
in nonuniform environments. In the proposed algorithm, the map is described by grids in which nodes are defined on corners of grids. The planning algorithm considers the map as four areas, namely, implementation, observation, explored, and unknown. The Implementation area is a subset
of the Observation area, whereas the Explored area is the union of all the previous Observation areas. The path is planned with a receding horizon planning strategy to generate waypoints and in-between map updates. When a new map update occurs, the path is replanned within the current Observation area if necessary. If no such path exists, the search is extended to the Explored area. Paths can be planned by recursively searching available nodes inside the Explored area that can be connected to available nodes on the boundary of the Explored area. A robot platform is employed to conduct a series of experiments in a laboratory environment to verify the proposed path planning algorithm.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
SENTINEL-1B_DUAL_POL_GRD_HIGH_RES

Sentinel-1B Dual-pol ground projected high and full resolution images

Tags: agriculture, biosphere, coastal-processes, cryosphere, earth-science, erosion-sedimentation, forest-science, frozen-ground, geomorphic-landforms-processes, glaciers-ice-sheets, land-surface, land-use-land-cover, landscape, ocean-waves, ocean-winds, oceans, sea-ice, snow-ice, solid-earth, surface-water, tectonics, terrestrial-ecosystems, terrestrial-hydrosphere, topography
Organization: National Aeronautics and Space Administration
LAT Pass 6 (V3) Archived Weekly files

Fermi is a powerful space observatory that will open a wide window on the universe. Gamma rays are the highest-energy form of light, and the gamma-ray sky is spectacularly different from the one we perceive with our own eyes. With a huge leap in all key capabilities, Fermi data will enable scientists to answer persistent questions across a broad range of topics, including supermassive black-hole systems, pulsars, the origin of cosmic rays, and searches for signals of new physics.

Tags: astrophysics, gamma-ray-bursts, gbm, lat, light-arcs, particle-physics, photons, pulsars, solar-flares, space-science
Organization: National Aeronautics and Space Administration
A 2-Micron Pulsed Laser Transmitter for Direct Detection Column CO2 Measurement from Space Project

&lt;p&gt;
	Develop a compact, efficient 2&amp;micro;m pulsed laser for a lidar instrument to make accurate, high-resolution atmospheric CO2 column measurements in support of the ASCENDS mission.&lt;br /&gt;
	Develop a pulsed 2&amp;micro;m laser that is based on a Thulium fiber-laser pumped Holmium (Ho) solid state laser in a Master Oscillator Power Amplifier (MOPA) configuration.&lt;br /&gt;
	Demonstrate 65mJ at 50Hz needed for the space&amp;nbsp; Integrated Path Differential Absorption (IPDA) instrument in a robust prototype format.&lt;/p&gt;

Tags: active, nasa-headquarters, project
Organization: National Aeronautics and Space Administration
Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data V002

This data set is generated from brightness temperature data and is designed to provide a consistent time series of sea ice concentrations spanning the coverage of several passive microwave instruments.The data are provided in the polar stereographic projection at a grid cell size of 25 x 25 km.  Data coverage began on 26 October 1978 and is ongoing through the most current processing, with updated data processed several times annually.

Tags: cryosphere, earth-science, sea-ice
Organization: National Aeronautics and Space Administration
Shuttle Radar Topography Mission 1-arc second Global

The Shuttle Radar Topography Mission (SRTM) was flown aboard the space shuttle Endeavour February 11-22, 2000. The National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA) participated in an international project to acquire radar data which were used to create the first near-global set of land elevations.

The radars used during the SRTM mission were actually developed and flown on two Endeavour missions in 1994. The C-band Spaceborne Imaging Radar and the X-Band Synthetic Aperture Radar (X-SAR) hardware were used on board the space shuttle in April and October 1994 to gather data about Earth's environment. The technology was modified for the SRTM mission to collect interferometric radar, which compared two radar images or signals taken at slightly different angles. This mission used single-pass interferometry, which acquired two signals at the same time by using two different radar antennas. An antenna located on board the space shuttle collected one data set and the other data set was collected by an antenna located at the end of a 60-meter mast that extended from the shuttle. Differences between the two signals allowed for the calculation of surface elevation.

Endeavour orbited Earth 16 times each day during the 11-day mission, completing 176 orbits. SRTM successfully collected radar data over 80% of the Earth's land surface between 60° north and 56° south latitude with data points posted every 1 arc-second (approximately 30 meters).
  

Two resolutions of finished grade SRTM data are available through EarthExplorer from the collection held in the USGS EROS archive:

1 arc-second (approximately 30-meter) high resolution elevation data offer worldwide coverage of void filled data at a resolution of 1 arc-second (30 meters) and provide open distribution of this high-resolution global data set. Some tiles may still contain voids. The SRTM 1 Arc-Second Global (30 meters) data set will be released in phases starting September 24, 2014. Users should check the coverage map in EarthExplorer to verify if their area of interest is available.

3 arc-second (approximately 90-meter) medium resolution elevation data are available for global coverage. The 3 arc-second data were resampled using cubic convolution interpolation for regions between 60° north and 56° south latitude.

[Summary provided by the USGS.]

Tags: earth-science, land-surface, radar, spectral-engineering, topography
Organization: National Aeronautics and Space Administration
Third International Diagnostic Competition

We present the third implementation of a framework created jointly by NASA Ames Research Center, Palo Alto Research Center, and Delft University of Technology to com- pare and evaluate diagnosis algorithms (DAs). This year‟s competition, DXC‟11, introduces a software track in addition to the industrial and synthetic tracks of previous competitions. A total of eleven DAs competed in the three tracks. The paper describes the systems, diag- nostic problems of the tracks, fault scenarios, evaluation metrics, participating DAs, results and analysis.

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