AndreaBozzo/ceres-open-data-index huggingface dataset:
EnviroAtlas - Philadelphia, PA - Domestic Water Demand per Day by U.S. Census Block Group

As included in this EnviroAtlas dataset, the community level domestic water use was calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Domestic water demand was calculated and applied using the Pennsylvania Department of Environmental Protection (PADEP) PWS Service Areas layer, population served per provider, and average domestic water use per provider. Within the EnviroAtlas study area, there are 108 service providers with 2016 estimates ranging from 26 to 323 GPD. In the absence of finer scale data, USGS Water Use Report county-level estimates were used for the study area extending into Delaware (80 GPD), Maryland (71 GPD), and New Jersey (80 GPD). 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, drinking water, ecology, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, ground water, pa, pennsylvania, philadelphia, surface water, utilities, water
Organization: U.S. Environmental Protection Agency
EnviroAtlas - Washington, DC - Census Block Groups

This EnviroAtlas dataset is the base layer for the Washington, DC EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. 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, dc, district of columbia, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, washington
Organization: U.S. Environmental Protection Agency
EnviroAtlas - New Haven, CT - Green Space Proximity Gradient

In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. Water is shown as "-99999" in this dataset to distinguish it from land areas with very low green space. 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, connecticut, ct, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, green space, human well-being, land cover, new haven
Organization: U.S. Environmental Protection Agency
EnviroAtlas - Los Angeles, CA - Residents with Minimal Potential Window Views of Trees by Block Group

This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees and forest land cover within 50 meters. The window views are considered "potential" because the procedure does not account for presence or directionality of windows in one's home. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. 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: ca, california, census block groups, communities, demographics, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, human well-being, land cover, los angeles, natural resources, trees
Organization: U.S. Environmental Protection Agency
EnviroAtlas - Portland, ME - Near Road Tree Buffer

This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. 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, maine, me, portland, transportation, trees
Organization: U.S. Environmental Protection Agency
EnviroAtlas - Salt Lake City, UT - EnviroAtlas Community Boundary

This EnviroAtlas dataset shows the Salt Lake City, UT EnviroAtlas community boundary. It represents the outside edge of all the block groups included in the EnviroAtlas Community. 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: boundaries, communities, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, salt lake city, ut, utah
Organization: U.S. Environmental Protection Agency
High Mountain Asia UCLA Daily Snow Reanalysis V001

Snowpack plays a significant role in the hydrologic cycle over High Mountain Asia (HMA). As a vital water resource, the distribution of snowpack volume also impacts the water availability for downstream populations. To assess the regional water balance, it is important to characterize the spatio-temporal distribution of water storage in the HMA snowpack.
This HMA snow reanalysis data set contains daily estimates of posterior snow water equivalent (SWE), fractional snow covered area (fSCA), snow depth (SD), etc.

Tags: cryosphere, earth-science, national-geospatial-data-asset, ngda, snow-ice
Organization: National Aeronautics and Space Administration
SENTINEL-1A_SINGLE_POL_GRD_HIGH_RES

Sentinel-1A Single-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
Suomi-NPP VIIRS Level-3 Global Binned 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
GPM GROUND VALIDATION CONICAL SCANNING MILLIMETER-WAVE IMAGING RADIOMETER (COSMIR) GCPEX V1

The GPM Ground Validation Conical Scanning Millimeter-wave Imaging Radiometer (COSMIR) GCPEx dataset used the  Conical Scanning Millimeter-wave Imaging Radiometer (CoSMIR), which was utilized for the GPM Cold-season Precipitation Experiment (GCPEx) as an airborne high-frequency simulator of the GPM Microwave Imager (GMI), which was launched in 2014. The CoSMIR was modified with a new scan mode to acquire both conical and cross-track scan data simultaneously in a given flight satisfying the requirements of the Precipitation Measurement Mission (PMM) algorithm development team. The dataset provides well-calibrated radiometric data from 9 channels between 50-183 GHz with the accuracy on the order of +-1K. All channels besides the 89 and 165.5 GHz are horizontally polarized.

Tags: earth-science, microwave, spectral-engineering
Organization: National Aeronautics and Space Administration
IceBridge MCoRDS L1B Geolocated Radar Echo Strength Profiles V002

This data set contains radar echograms taken from the Center for Remote Sensing of Ice Sheets (CReSIS) ultra Multichannel Coherent Radar Depth Sounder (MCoRDS) over land and sea ice in the Arctic and Antarctic.

Tags: cryosphere, earth-science, oceans, radar, sea-ice, spectral-engineering
Organization: National Aeronautics and Space Administration
NOAA-20 VIIRS Level-3 Global Mapped 11µm Nighttime Sea Surface Temperature (NSST) - Near Real-time (NRT) Data, version R2024.0

The Ocean Biology DAAC produces near real-time (quicklook) products using the best-available combination of ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than optimal. Quicklook products provide a snapshot of the data during a short time period within a single orbit.

Tags: earth-science, ocean-temperature, oceans
Organization: National Aeronautics and Space Administration
Aqua MODIS Level-3 Global Binned 11µm Nighttime Sea Surface Temperature (NSST) Data, version R2019.0

MODIS (or Moderate-Resolution Imaging Spectroradiometer) is a key instrument aboard the Terra (EOS AM) and Aqua (EOS PM) satellites. Terra's orbit around the Earth is timed so that it passes from north to south across the equator in the morning, while Aqua passes south to north over the equator in the afternoon. Terra MODIS and Aqua MODIS are viewing the entire Earth's surface every 1 to 2 days, acquiring data in 36 spectral bands, or groups of wavelengths (see MODIS Technical Specifications). These data will improve our understanding of global dynamics and processes occurring on the land, in the oceans, and in the lower atmosphere. MODIS is playing a vital role in the development of validated, global, interactive Earth system models able to predict global change accurately enough to assist policy makers in making sound decisions concerning the protection of our environment.

Tags: earth-science, national-geospatial-data-asset, ngda, ocean-temperature, oceans
Organization: National Aeronautics and Space Administration
SMAP_L1C_SIGMA_NAUGHT_HIGH_RES_QA_V003

SMAP Level 1C Sigma Naught High Res Data Quality Info Version 3

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
Supercritical Airfoil Coordinates

<b>Rectangular Supercritical Wing (Ricketts)</b> - design and measured locations are provided in an Excel file <a href="https://c3.ndc.nasa.gov/dashlink/static/media/dataset/RSW_airfoil_coordinates_ricketts.xls">RSW_airfoil_coordinates_ricketts.xls</a> .  One sheet is with Non dimensional coordinates (RSW-nd) to be able to compare with other supercritical airfoils.  The other sheet (RectSupercriticalWing) has the data which should be used to generate the grids.

<b>Benchmark Supercritical Wing</b> are available in PDF file of tables. The data was OCR'd.   Matlab code was written to read data line by line to be able to extract the data.  The "*" flag associated with points that have deviation greater the specified value were replaced with blank space.  Bad lines were omitted - lines that have non-numerical digits.  


Comparison of Rectangular Supercritical Wing (Ricketts), Benchmark Supercritical Wing, MBB_A3

<img src="https://c3.ndc.nasa.gov/dashlink/static/media/dataset/SCWairfoils.png">

2D Airfoil tested at DLR - comparison of theoretical and actual.
<img src="
https://c3.ndc.nasa.gov/dashlink/static/media/dataset/mbb_a3.png" height=200>

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Gazetteer of Planetary Nomenclature: Venus: 1:10 million-scale Altimetry Quadrangles: Ishtar

This set of maps diplays altimetric radar images of Venus approved by the International Astronomical Union (IAU).

Tags: altimetry, imagery, images, planets, quadrangles, radar, usgs, venus, working-group-for-planetary-system-nomenclature
Organization: National Aeronautics and Space Administration
SENTINEL-1B_METADATA_SLC

Metadata for Sentinel-1B slant-range product

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
A Generic Local Algorithm for Mining Data Streams in Large Distributed Systems

In a large network of computers or wireless sensors, each of the components (henceforth, peers) has some data about the global state of the system. Much of the system's functionality such as message routing, information retrieval and load sharing relies on modeling the global state. We refer to the outcome of the function (e.g., the load experienced by each peer) as the emph{model} of the system. Since the state of the system is constantly changing, it is necessary to keep the models up-to-date. Computing global data mining models e.g. decision trees, k-means clustering in large distributed systems may be very costly due to the scale of the system and due to communication cost, which may be high. The cost further increases in a dynamic scenario when the data changes rapidly. In this paper we describe a two step approach for dealing with these costs. First, we describe a highly efficient emph{local} algorithm which can be used to monitor a wide class of data mining models. Then, we use this algorithm as a feedback loop for the monitoring of complex functions of the data such as its k-means clustering. The theoretical claims are corroborated with a thorough experimental analysis.

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

On February 24, 1995, President Clinton signed an Executive Order,      
directing the declassification of intelligence imagery acquired by  the       
first generation of United States photo-reconnaissance satellites,  including  
the systems code-named CORONA, ARGON, and LANYARD.  More than  860,000 images
of the Earth's surface, collected between 1960 and 1972, were  declassified
with the issuance of this Executive Order.

Image collection was driven, in part, by the need to confirm  purported 
developments in then-Soviet strategic missile capabilities.  The  images
also were used to produce maps and charts for the Department of Defense 
and for other Federal Government mapping programs.  In addition to the 
images, documents and reports (collateral information) are available, 
pertaining to frame ephemeris data, orbital ephemeris data, and mission 
performance. Document availability varies by mission; documentation was
not  produced for unsuccessful missions.

Tags: earth-science, infrared-wavelengths, spectral-engineering, visible-wavelengths
Organization: National Aeronautics and Space Administration
ATLAS/ICESat-2 L3A Calibrated Backscatter Profiles and Atmospheric Layer Characteristics Quick Look V006

ATL09QL is the quick look version of ATL09. Once final ATL09 files are available the corresponding ATL09QL files will be removed. 
ATL09 contains calibrated, attenuated backscatter profiles, layer integrated attenuated backscatter, and other parameters including cloud layer height and atmospheric characteristics obtained from the data. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.

Tags: atmosphere, clouds, earth-science, lidar, spectral-engineering
Organization: National Aeronautics and Space Administration
Macroscopic Models of Clique Tree Growth for Bayesian Networks

In clique tree clustering, inference consists of propagation in a clique tree compiled from a Bayesian network. In this paper, we develop an analytical approach to characterizing clique tree growth as a function of increasing Bayesian network connectedness, specifically: (i) the expected number of moral edges in their moral graphs or (ii) the ratio of the number of non-root nodes to the number of root nodes.  In experiments, we systematically increase the connectivity of bipartite Bayesian networks, and find that clique tree size growth is well-approximated by Gompertz growth curves.  This research improves the understanding of the scaling behavior of clique tree clustering, provides a foundation for benchmarking and developing improved BN inference algorithms, and presents an aid for analytical trade-off studies of tree clustering using growth curves.

**Reference:**

O. J. Mengshoel, "Macroscopic Models of Clique Tree Growth for Bayesian Networks."  In Proc. of the 22nd National Conference on Artificial Intelligence (AAAI-07). July 2007, Vancouver, Canada, pp. 1256-1262.

**BibTex Reference:**

@inproceedings{mengshoel07macroscopic,
    author = "Mengshoel, O. J.",
    title = "Macroscopic Models of Clique Tree Growth for {Bayesian} Networks",
        year = "2007",
  booktitle = {Proceedings of the Twenty-Second National Conference on Artificial Intelligence (AAAI-07)},
  pages = "1256-1262",
  address = "Vancouver, British Columbia"
}

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
RSW Fully Tet Medium Cell-Centered Mesh

This is the RSW Fully tetrahedral medium cell-centered unstructured grid with a viscous wall.

UG3      : Grid File Name    = rsw_med_tetcc.b8.ugrid
UG3      : Quad Surface Faces=         0
UG3      : Tria Surface Faces=    133698
UG3      : Nodes             =   3823266
UG3      : Total Elements    =  22726678
UG3      : Hex Elements      =         0
UG3      : Pent_5 Elements   =         0
UG3      : Pent_6 Elements   =         0
UG3      : Tet Elements      =  22726678
UG3      : BL Tet Elements   =  21106651

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly V5.3 Validated Dataset

The RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly V5.3 Validated Dataset produced by the Remote Sensing Systems (RSS) and sponsored by the NASA Ocean Salinity Science Team, is a validated product that provides orbital/swath data on sea surface salinity (SSS) derived from the NASA's Soil Moisture Active Passive (SMAP) mission. The SMAP satellite was launched on 31 January 2015 with a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval.
<br><br>
The evaluation Version 5.3 is identical to the Version 6.0 validated release with the exception that Version 5.3 uses the Version 5 L1B TA as input. The V6 L1B TA uses a lower TA threshold for RFI exclusion. Until the full back-processing of V6.0 is complete, the evaluation Version 5.3 can and should be used instead. Version 5.3 has been processed from the beginning of the SMAP mission to the end of 2023, and each data file is available in netCDF-4 file format. Observations are global in extent with an approximate spatial resolution of 40KM. Note that while a SSS 40KM variable is also included in the product for most open ocean applications, The standard product of the SMAP Version 5.3 release is the smoothed salinity product with a spatial resolution of approximately 70 km.

Tags: earth-science, oceans, salinity-density
Organization: National Aeronautics and Space Administration