AndreaBozzo/ceres-open-data-index huggingface dataset:
SMAP_L1B_SIGMA_NAUGHT_LOW_RES_QA_V002

SMAP Level 1B Sigma Naught Low Res Data Quality Info Version 2

Tags: active-remote-sensing, earth-observation-satellites, earth-remote-sensing-instruments, earth-science, imaging-radars, nasa-decadal-survey, platform-characteristics, radar, smap, spectral-engineering
Organization: National Aeronautics and Space Administration
SENTINEL-1B_OCN

Sentinel-1B Level 2 Ocean wind, wave and current data

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-waves-swells, ocean-waves-wave-fetch, ocean-waves-wave-spectra, ocean-waves-wind-waves, ocean-winds, ocean-winds-surface-winds, ocean-winds-turbulence, ocean-winds-wind-shear, oceans, sea-ice, snow-ice, solid-earth, surface-water, tectonics, terrestrial-ecosystems, terrestrial-hydrosphere, topography
Organization: National Aeronautics and Space Administration
EnviroAtlas - Portland, OR - Estimated Percent Green Space Along Walkable Roads

This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).

Tags: air, communities, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, health, human well-being, land cover, or, oregon, portland, transportation, trees
Organization: U.S. Environmental Protection Agency
Modeling of non-stationary autoregressive alpha-stable processe

In the literature, impulsive signals are mostly modeled by symmetric alpha-stable processes. To represent their temporal dependencies, usually autoregressive models with time-invariant coefficients are utilized. We propose a general sequential Bayesian modeling methodology where both unknown autoregressive coefficients and distribution parameters can be estimated successfully, even when they are time-varying. In contrast to most work in the literature on signal processing with alpha-stable distributions, our work is general and models also skewed alpha-stable processes. Successful performance of our method is demonstrated by computer simulations. We support our empirical results by providing posterior Cramer–Rao lower bounds. The proposed method is also tested on a practical application where seismic data events are modeled.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
TROPICS03 L2B Tropical Cyclone Intensity Estimate (TCIE) Algorithm V1.0

The "Time-Resolved Observations of Precipitation structure and storm Intensity with a Constellation of Smallsats" (TROPICS) mission has a goal of providing nearly all-weather observations of three-dimensional temperature and humidity, as well as cloud ice and precipitation horizontal structure, at high temporal resolution to conduct high-value science investigations of tropical cyclones. The mission comprises a constellation of five identical Space Vehicles (SVs) conforming to the 3U form factor and hosting a passive microwave spectrometer payload.

Each SV hosts an identical high-performance spectrometer named the TROPICS Millimeter-wave Sounder (TMS) that will provide temperature profiles using seven channels near the 118.75-GHz oxygen absorption line, water vapor profiles using three channels near the 183-GHz water vapor absorption line, imagery in a single channel near 90 GHz for precipitation measurements (when combined with higher resolution water vapor channels), and a single channel near 205 GHz that is more sensitive to cloud-sized ice particles.

The TROPICS Tropical Cyclone Intensity Estimate algorithm (TCIE), developed at the University of Wisconsin/CIMSS that uses native microwave brightness temperatures, estimates two primary TC variables: Minimum Sea Level Pressure (MSLP) and Maximum Sustained Winds (MSW). The TROPICS TCIE uses the brightness temperature perturbation of two temperature sounding channels (Ch. 6 and Ch. 7) and one channel from the moisture sounding channel (Ch. 1) along with ancillary information from the TC working best track file and the CIMSS ARCHER algorithm (eye size information) to estimate the TC intensity. This validated TCIE data release starts in June 2023 for the constellation CubeSats, and August 2021 for the TROPICS-01/Pathfinder.

Tags: earth-science, microwave, spectral-engineering
Organization: National Aeronautics and Space Administration
EnviroAtlas - Chicago, IL - 51m Riparian Buffer Forest Cover

This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Tags: chicago, communities, drinking water, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, ground water, il, illinois, impact, land cover, natural resources, riparian, surface water, water
Organization: U.S. Environmental Protection Agency
IceBridge ARES L1B Geolocated Radar Echo Strength Profiles V001

This data set contains radar echograms acquired by the Arizona Radio-Echo Sounder (ARES) over select glaciers in Alaska. The data are provided in HDF5 formatted files, which include important metadata for interpreting the data. Browse images are also available.

Tags: earth-science, radar, spectral-engineering
Organization: National Aeronautics and Space Administration
EnviroAtlas - Cleveland, OH - BenMAP Results by Block Group

This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 1,442 block groups in Cleveland, Ohio. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Cuyahoga, Geauga, Lake, Lorain, Medina, Portage, and Summit Counties, OH. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Tags: air, census block groups, cleveland, communities, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, exposure, health, human well-being, impact, modeling, oh, ohio, trees
Organization: U.S. Environmental Protection Agency
ARC Code TI: ROBUS-2

The ROBUS-2 Protocol Processor (RPP) is a custom-designed hardware component implementing the functionality of the ROBUS-2 fault-tolerant communication system. The Reliable Optical Bus (ROBUS) is the core communication system of the Scalable Processor-Independent Design for Enhanced Reliability (SPIDER), a general-purpose fault-tolerant integrated modular architecture currently under development at NASA Langley Research Center. ROBUS is a time-division multiple access (TDMA) broadcast communication system with medium access control by means of time-indexed communication schedule. ROBUS-2 is a developmental version of the ROBUS providing guaranteed fault-tolerant services to the attached processing elements (PEs), in the presence of a bounded number of faults.

Tags: fault-tolerant, processing-elements, robus, robus-2, rpp, spider, tdma
Organization: National Aeronautics and Space Administration
High Mountain Asia Landslide Catalog V002

This data set is an inventory of some 2800 landslides that occurred in the High Mountain Asia (HMA) study area between 5 January 2007 and 31 December 2018 (plus one event from 28 January 1990). The catalog includes dates and locations of landslides, plus additional characteristics such as event triggers, country, length and area of the slide, and the number of injuries and fatalities.

The events in this catalog represent an HMA-specific subset of the Cooperative Open Online Landslide Repository (COOLR), a project that was created to build a more robust, publicly available inventory of landslides by supplementing data in the NASA Global Landslide Catalog with citizen science reports.

Tags: earth-science, erosion-sedimentation, land-surface
Organization: National Aeronautics and Space Administration
Long-term prediction of nonlinear time series

This paper is about applying recurrent least squares support vector machines (LS-SVM) on three ESTSP08 competition datasets. Least squares

support vector machines are used as nonlinear models in order to avoid local

minima problems. Then prediction task is re-formulated as function approximation

task. Recurrent LS-SVM uses nonlinear autoregressive exogenous (NARX) model

to build nonlinear regressor, by estimating in each iteration the next output value,

given the past output and input measurements.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Distributed Prognostics System Implementation on Wireless Embedded Devices

Distributed prognostics is the next step in the evolution of prognostic methodologies. It is an important enabling technology for the emerging Condition Based Management/Prognostics Health Management paradigm. This paper provides an overview of such systems with details of the system architectures and the various possible design considerations. A distributed particle filter architecture for battery health management is developed and successfully implemented using embedded smart sensor devices with wireless communication capabilities.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
SSCweb orbit locations at the Space Physics Data Facility (SPDF)

Display and download orbit and trajectory data for most heliophysics missions. The Satellite Situation Center (SSC) also enables complex queries between spacecraft and ground locations, tracing along magnetic field lines, and geophysical regions of space. The Space Physics Data Facility (SPDF) is the archive of non-solar data for the Heliospheric Science Division (HSD) at NASA's Goddard Space Flight Center.

Tags: astrophysics, heliophysics, space-missions, space-physics, space-science
Organization: National Aeronautics and Space Administration
ATLAS/ICESat-2 L3B Daily and Monthly Gridded Polar Sea Surface Height Anomaly V003

ATL21 contains daily and monthly gridded polar sea surface height (SSH) anomalies, derived from the along-track ATLAS/ICESat-2 L3A Sea Ice Height product (ATL10, V6). The ATL10 product identifies leads in sea ice and establishes a reference sea surface used to estimate SSH in 10 km along-track segments. ATL21 aggregates the ATL10 along-track SSH estimates and computes daily and monthly gridded SSH anomaly in NSIDC Polar Stereographic Northern and Southern Hemisphere 25 km grids.

Tags: earth-science, oceans, sea-surface-topography
Organization: National Aeronautics and Space Administration
EnviroAtlas -- Philadelphia, PA -- Meter-Scale Urban Land Cover Data (MULC) Data (2013)

The Philadelphia, PA Meter-Scale Urban Land Cover (MULC) dataset comprises 7184 km2 around the city of Philadelphia and surrounding land in parts of fourteen counties within four states (PA, DE, NJ, MD): New Castle County in Delaware and Cecil County Maryland; Bucks, Chester, Lancaster, Montgomery, Philadelphia, and Delaware Counties in Pennsylvania; and Burlington, Mercer, Camden, Gloucester, Salmen and Atlantic Counties in New Jersey. These MULC data and maps were derived from several sources from multiple years: leaf-off LiDAR; 1-m pixel, four-band (red, green, blue, and near-infrared) leaf-on aerial photography acquired from the United States Department of Agriculture (USDA) National Agriculture Imagery Program (NAIP); 1-ft pixel orthoimagery; additional leaf-on and leaf-off imagery as well as ancillary vector data (e.g., roads, building footprints.). Ten land cover classes were mapped: Water, Impervious Surfaces, Soil/Barren, Tree/Forested, Shrub, Grass/Herbaceous NonWoody Vegetation, Agriculture, Orchard, and Wetlands (Woody and Emergent). Wetlands were delineated using the best available existing wetlands data, which was a National Wetlands Inventory (NWI) layer. An analysis of 600 completely random and 251 stratified random photo-interpreted land cover reference points yielded a simple overall user's accuracy (MAX) of 78% and an overall fuzzy user's accuracy (RIGHT) of 86% (see confusion matrices below). This dataset was produced by the University of Vermont Spatial Analysis Laboratory, the United States Forest Service Urban Tree Canopy (UTC) assessment program, and the US EPA to support research and online mapping activities related to the EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Tags: agriculture, biophysical, communities, delaware, ecology, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, green space, health, impact, land, land cover, maryland, new jersey, pa, pennsylvania, philadelphia, surface water, water, wetlands
Organization: U.S. Environmental Protection Agency
The Case for Software Health Management

Software Health Management (SWHM) is a new field that is concerned with the development of tools and technologies to enable automated detection, diagnosis, prediction, and mitigation of adverse events due to software anomalies.
Significant effort has been expended in the last several decades in the
development of verification and validation methods for software
intensive systems, but it is becoming increasingly more apparent that this is
not enough to guarantee that a complex software system
meets all safety and reliability requirements. 

Modern software systems can exhibit a variety of failure modes which can go undetected in a verification and validation process.  While standard techniques for error handling, fault detection and isolation
can have significant benefits for many systems, it is becoming increasingly evident that new technologies and methods are necessary for the development of techniques to detect, diagnose, predict, and then mitigate the adverse events due to software that has already undergone significant verification and validation procedures.
These software faults often arise due to the interaction between the software
and the operating environment.
Unanticipated environmental changes lead to software anomalies that may have significant impact on the overall success of the mission.
Because software is ubiquitous, it is not sufficient that errors are
detected only after they occur. Rather, software must be instrumented and
monitored for failures before they happen.
This prognostic capability will yield safer and more dependable systems for the future.  This paper addresses the motivation, needs, and requirements of software health management as a new discipline.

Published in the Proceedings of the IEEE Conference on Space Mission Challenges for Information Technology, Palo Alto, CA, August 2011.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Ramakrishnan: Semantics on the Web

It is becoming increasingly clear that the next generation of web search and advertising will rely on a deeper understanding of user intent and task modeling, and a correspondingly richer interpretation of content on the web. How we get there, in particular, how we understand web content in richer terms than bags of words and links, is a wide open and fascinating question. I will discuss some of the options here, and look closely at the role that information extraction can play.

**Speaker Bio**

Raghu Ramakrishnan is Chief Scientist for Audience and Cloud Computing at Yahoo!, and is a Research Fellow, heading the Community Systems area in Yahoo! Research. He was Professor of Computer Sciences at the University of Wisconsin-Madison, and was founder and CTO of QUIQ, a company that pioneered question-answering communities, powering Ask Jeeves' AnswerPoint as well as customer-support for companies such as Compaq. His research has influenced query optimization in commercial database systems, and the design of window functions in SQL:1999. His paper on the Birch clustering algorithm received the SIGMOD 10-Year Test-of-Time award, and he has written the widely-used text "Database Management Systems" (with Johannes Gehrke).

He is Chair of ACM SIGMOD, on the Board of Directors of ACM SIGKDD and the Board of Trustees of the VLDB Endowment, and has served as editor-in-chief of the Journal of Data Mining and Knowledge Discovery, associate editor of ACM Transactions on Database Systems, and the Database area editor of the Journal of Logic Programming. Ramakrishnan is a Fellow of the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE), and has received several awards, including a Distinguished Alumnus Award from IIT Madras, a Packard Foundation Fellowship in Science and Engineering, an NSF Presidential Young Investigator Award, and an ACM SIGMOD Contributions Award.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
ARC Code TI: ROC Curve Code Augmentation

ROC (Receiver Operating Characteristic) curve Code Augmentation was written by Rodney Martin and John Stutz at NASA Ames Research Center and is a modification of ROC Curve code originally authored by G.C. Cawley that provides additional functionality. The inclusion of more detailed bookkeeping of new and existing internal data structures that provide more visibility into various performance measures is one of the new features.

Tags: curve-code-augmentation, receiver-operating-characteristic, roc
Organization: National Aeronautics and Space Administration
IceBridge Narrow Swath ATM L1B Elevation and Return Strength V002

This data set contains spot elevation measurements of Greenland, Arctic, and Antarctic sea ice acquired using the NASA Airborne Topographic Mapper (ATM) narrow-swath instrumentation. The data were collected as part of Operation IceBridge funded aircraft survey campaigns.

Tags: climate-indicators, cryospheric-indicators, earth-science
Organization: National Aeronautics and Space Administration
EnviroAtlas - Virginia Beach/Williamsburg, VA - Tree Cover Configuration and Connectivity

This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Tags: communities, ecology, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, green infrastructure, habitat, land cover, va, virginia, virginia beach/williamsburg
Organization: U.S. Environmental Protection Agency
EnviroAtlas - Philadelphia, PA - People and Land Cover in Floodplains by Block Group

This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, https://msc.fema.gov/portal/advanceSearch). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Tags: census block groups, communities, demand for ecosystem services, demographics, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, flood, floodplain, hazards, health, human, human well-being, land cover, pa, pennsylvania, philadelphia, risk, water
Organization: U.S. Environmental Protection Agency
AMSR-E/Aqua Daily L3 25 km Brightness Temperature & Sea Ice Concentration Polar Grids V003

This Level-3 gridded product (AE_SI25) includes brightness temperatures at 6.9 through 89.0 GHz and sea ice concentrations.

Tags: cryosphere, earth-science, infrared-wavelengths, sea-ice, spectral-engineering
Organization: National Aeronautics and Space Administration