AndreaBozzo/ceres-open-data-index huggingface dataset:
Amazon Web Services: MOD13Q1

Global MODIS vegetation indices are designed to provide consistent spatial and temporal comparisons of vegetation conditions. Blue, red, and near-infrared reflectances, centered at 469-nanometers, 645-nanometers, and 858-nanometers, respectively, are used to determine the MODIS daily vegetation indices. The MODIS Normalized Difference Vegetation Index (NDVI) complements NOAA's Advanced Very High Resolution Radiometer (AVHRR) NDVI products and provides continuity for time series historical applications. MODIS also includes a new Enhanced Vegetation Index (EVI) that minimizes canopy background variations and maintains sensitivity over dense vegetation conditions. The EVI also uses the blue band to remove residual atmosphere contamination caused by smoke and sub-pixel thin cloud clouds. The MODIS NDVI and EVI products are computed from atmospherically corrected bi-directional surface reflectances that have been masked for water, clouds, heavy aerosols, and cloud shadows. Global MOD13Q1 data are provided every 16 days at 250-meter spatial resolution as a gridded level-3 product in the Sinusoidal projection. Lacking a 250m blue band, the EVI algorithm uses the 500m blue band to correct for residual atmospheric effects, with negligible spatial artifacts. Vegetation indices are used for global monitoring of vegetation conditions and are used in products displaying land cover and land cover changes. These data may be used as input for modeling global biogeochemical and hydrologic processes and global and regional climate. These data also may be used for characterizing land surface biophysical properties and processes, including primary production and land cover conversion.

Tags: amazon-web-services, aws, climate, earth-science
Organization: National Aeronautics and Space Administration
1997 Average Monthly Sea Surface Temperature for California

The NOAA/ NASA AVHRR Oceans Pathfinder sea surface temperature data are derived from the 5-channel Advanced Very High Resolution Radiometers (AVHRR) on board the NOAA -7, -9, -11, -14, -16 and -17 polar orbiting satellites. Daily, 8-day and monthly averaged data for both the ascending pass (daytime) and descending pass (nighttime) are available on equal-angle grids of 8192 pixels/360 degrees (nominally referred to as the 4km resolution, 4096 pixels/360 degrees (nominally referred to as the 9km resolution), 2048 pixels/360 degrees (nominally referred to as the 18km resolution), and 720 pixels/360 degrees (nominally referred to as the 54km resolution or 0.5 degree resolution).The monthly averaged daytime data was converted to an ESRI GRID format and the 12 monthly grid files were combined into one annual grid with a attribute field for each month.

Tags: advanced very-high-resolution radiometer, avhrr, benthic, biosphere, california, channel islands national marine sanctuary, cinms_assessment, community dynamics, community structure, continent, doc/noaa/nos/nccos, dynamic vegetation/ecosystem models, earth science, earth science services, ecological dynamics, ecosystem functions, ecosystems, environmental assessments, environmental governance/management, environmental monitoring, human dimensions, marine ecosystems, models, national centers for coastal ocean science, national ocean service, noaa, north america, ocean temperature, oceans, pathfinder, pelagic, sea surface temperature, species/population interactions, sst, u.s. department of commerce, united states of america, us west coast, use/feeding habitats
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
A multi-feature integration method for fatigue crack detection and crack length estimation in riveted lap joints using Lamb waves

This paper presents an experimental study of damage detection and quantification in riveted lap joints. Embedded lead zirconate titanate piezoelectric (PZT) ceramic wafer-type sensors are employed to perform in situ non-destructive evaluation (NDE) during fatigue cyclical loading. PZT wafers are used to monitor the wave reflection from the boundaries of the fatigue crack at the edge of bolt joints. The group velocity of the guided wave is calculated to select a proper time window in which the received signal contains the damage information. It is found that the fatigue crack lengths are correlated with three main features of the signal, i.e., correlation coefficient, amplitude change, and phase change. It was also observed that a single feature cannot be used to quantify the damage among different specimens since a considerable variability was observed in the response from different specimens. A multi-feature integration method based on a second-order multivariate regression analysis is proposed for the prediction of fatigue crack lengths using sensor measurements. The model parameters are obtained using training datasets from five specimens. The effectiveness of the proposed methodology is demonstrated using several lap joint specimens from different manufactures and under different loading conditions.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Sentinel-3A OLCI Level-3M Global Mapped Earth-observation Reduced Resolution (ERR) Chlorophyll (CHL) - Near Real-time (NRT) Data, version R2022.0

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: atmosphere, atmospheric-radiation, earth-science, ocean-optics, oceans
Organization: National Aeronautics and Space Administration
LAT Pass 7 Reprocessed 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
High Mountain Asia Multitemporal Landslide Inventories V001

The mountains of Nepal are one of the most hazardous environments in the world, with frequent landslides caused by tectonic activity, extreme rainfall and infrastructure development. As a landlocked country, Nepal relies on proper functioning of major transportation networks such as the highways to sustain and improve the livelihoods of the population. Every year there are reports of landslides blocking the highways, especially during the rainy season; however, the frequency and location of landslides along the highway corridors are not well reported. RapidEye satellite imagery was used to create annual landslide initiation point inventories along three important highways in Nepal: the Arniko, Karnali, and Pasang Lhamu highway.

Tags: earth-science, erosion-sedimentation, land-surface
Organization: National Aeronautics and Space Administration
TOVS LMD 5 DAY GRIDS from NOAA-12 V01 (TOVSB5ND) at GES DISC

Level 3 parameters from HIRS/2 and MSU radiances using the Improved Initialization Inversion (3I) classification retrieval scheme by the Laboratoire de  Meteorologie Dynamique (Ecole Polytechnique) averaged over 5 days and mapped on to a 1x1 degree grid. This data was run as part of the NASA TOVS Pathfinder project and designated as Path-B. This dataset contains data from the NOAA-12 satellite.

Tags: atmosphere, atmospheric-chemistry, atmospheric-temperature, atmospheric-water-vapor, clouds, earth-science
Organization: National Aeronautics and Space Administration
Shoreline Data Rescue Project of  Willoughby Bay to Naval Operating Base-Norfolk, VA, VA1943A

These data were automated to provide an accurate high-resolution historical shoreline of  Willoughby Bay to Naval Operating Base-Norfolk, VA  suitable as a geographic information system (GIS) data layer.  These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey.  The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog.  C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of  https://inport.nmfs.noaa.gov/inport/item/39808

Tags: coast and geodetic survey, coastal base map, coastal maps, coastal survey, coastal zone map, continent, doc/noaa/nos/ngs, national geodetic survey, national geospatial data asset, national ocean service, ngda, ngs shoreline, noaa, noaa shoreline, north america, t-sheet, tp-sheet, u.s. department of commerce, united states of america, virginia, water oceans and coasts theme, willoughby bay to naval operating base-norfolk
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Shoreline Mapping Program of  STRAIT OF JUAN DE FUCA, ANGELES POINT TO SEQUIM BAY, WA0602

These data provide an accurate high-resolution shoreline compiled from imagery of  STRAIT OF JUAN DE FUCA, ANGELES POINT TO SEQUIM BAY .  This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57.  This resource is a member of  https://www.fisheries.noaa.gov/inport/item/39808

Tags: coastal mapping program, coastal maps, coastal survey, continent, doc/noaa/nos/ngs, geographic cell, national geodetic survey, national geospatial data asset, national ocean service, national shoreline, ngda, ngs shoreline, noaa, noaa shoreline, north america, shoreline, shoreline mapping program, strait of juan de fuca, u.s. department of commerce, united states of america, washington, water oceans and coasts theme
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Shoreline Mapping Program of  Padre Island, Cuba Island to Mile Marker 44, TX, TX1404A-CM-N

These data provide an accurate high-resolution shoreline compiled from imagery of  Padre Island, Cuba Island to Mile Marker 44, TX .  This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57.  This resource is a member of  https://www.fisheries.noaa.gov/inport/item/39808

Tags: coastal mapping program, coastal maps, coastal survey, continent, doc/noaa/nos/ngs, geographic cell, national geodetic survey, national geospatial data asset, national ocean service, national shoreline, ngda, ngs shoreline, noaa, noaa shoreline, north america, padre island, shoreline, shoreline mapping program, texas, u.s. department of commerce, united states of america, water oceans and coasts theme
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Shoreline Data Rescue Project of  Manistee, Manistee Lake and Portage Lake, Lake Michigan, CM-7908

These data were automated to provide an accurate high-resolution historical shoreline of  Manistee, Manistee Lake and Portage Lake, Lake Michigan  suitable as a geographic information system (GIS) data layer.  These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey.  The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog.  C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of  https://www.fisheries.noaa.gov/inport/item/39808

Tags: coast and geodetic survey, coastal base map, coastal maps, coastal survey, coastal zone map, continent, doc/noaa/nos/ngs, manistee, michigan, national geodetic survey, national geospatial data asset, national ocean service, ngda, ngs shoreline, noaa, noaa shoreline, north america, t-sheet, tp-sheet, u.s. department of commerce, united states of america, water oceans and coasts theme
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Shoreline Data Rescue Project of  Pelican Key to Stock Island, including Fleming Key, FL, GC20A05

These data were automated to provide an accurate high-resolution historical shoreline of  Pelican Key to Stock Island, including Fleming Key, FL  suitable as a geographic information system (GIS) data layer.  These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey.  The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog.  C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of  https://inport.nmfs.noaa.gov/inport/item/39808

Tags: coast and geodetic survey, coastal base map, coastal maps, coastal survey, coastal zone map, continent, doc/noaa/nos/ngs, florida, national geodetic survey, national geospatial data asset, national ocean service, ngda, ngs shoreline, noaa, noaa shoreline, north america, pelican key to stock island, t-sheet, tp-sheet, u.s. department of commerce, united states of america, water oceans and coasts theme
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Shoreline Data Rescue Project of  St. George Sound, FL, GC24G01

These data were automated to provide an accurate high-resolution historical shoreline of  St. George Sound, FL  suitable as a geographic information system (GIS) data layer.  These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey.  The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog.  C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of  https://inport.nmfs.noaa.gov/inport/item/39808

Tags: coast and geodetic survey, coastal base map, coastal maps, coastal survey, coastal zone map, continent, doc/noaa/nos/ngs, florida, national geodetic survey, national geospatial data asset, national ocean service, ngda, ngs shoreline, noaa, noaa shoreline, north america, st. george sound, t-sheet, tp-sheet, u.s. department of commerce, united states of america, water oceans and coasts theme
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Shoreline Data Rescue Project of  Oregon Inlet, North Carolina, PH6207

These data were automated to provide an accurate high-resolution historical shoreline of  Oregon Inlet, North Carolina  suitable as a geographic information system (GIS) data layer.  These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey.  The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog.  C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of  https://www.fisheries.noaa.gov/inport/item/39808

Tags: coast and geodetic survey, coastal base map, coastal maps, coastal survey, coastal zone map, continent, doc/noaa/nos/ngs, national geodetic survey, national geospatial data asset, national ocean service, ngda, ngs shoreline, noaa, noaa shoreline, north america, north carolina, oregon inlet, t-sheet, tp-sheet, u.s. department of commerce, united states of america, water oceans and coasts theme
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Shoreline Data Rescue Project of  St. Joseph and Benton Harbor, Lake Michigan, Michigan, CM-7909

These data were automated to provide an accurate high-resolution historical shoreline of  St. Joseph and Benton Harbor, Lake Michigan, Michigan  suitable as a geographic information system (GIS) data layer.  These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey.  The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog.  C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of  https://www.fisheries.noaa.gov/inport/item/39808

Tags: coast and geodetic survey, coastal base map, coastal maps, coastal survey, coastal zone map, continent, doc/noaa/nos/ngs, michigan, national geodetic survey, national geospatial data asset, national ocean service, ngda, ngs shoreline, noaa, noaa shoreline, north america, st. joseph and benton harbor, t-sheet, tp-sheet, u.s. department of commerce, united states of america, water oceans and coasts theme
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Shoreline Data Rescue Project of  Cape Ann, Massachusetts, MA3C01

These data were automated to provide an accurate high-resolution historical shoreline of  Cape Ann, Massachusetts  suitable as a geographic information system (GIS) data layer.  These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey.  The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog.  C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of  https://www.fisheries.noaa.gov/inport/item/39808

Tags: cape ann, coast and geodetic survey, coastal base map, coastal maps, coastal survey, coastal zone map, continent, doc/noaa/nos/ngs, massachusetts, national geodetic survey, national geospatial data asset, national ocean service, ngda, ngs shoreline, noaa, noaa shoreline, north america, t-sheet, tp-sheet, u.s. department of commerce, united states of america, water oceans and coasts theme
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2019 NOAA NGS Emergency Response Imagery: Hurricane Barry

Oblique and nadir imagery was acquired following Hurricane Barry in July 2019. The aerial photography missions were conducted by the NOAA Remote Sensing Division. The images were acquired from an altitude of 2500 to 5000 feet, using a Trimble Digital Sensor System (DSS).

Tags: aerial, aerial photographs, airplane, cameras, continent, doc/noaa/nos/ngs, emergency_response, louisiana, mississippi, mosaic, national geodetic survey, national ocean service, noaa, north america, photograph, rectified image, remotely sensed imagery/photography, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Shoreline Mapping Program of  WELLAND CANAL, LAKE ERIE TO LAKE ONTARIO, ONT-NY, NY0905A

These data provide an accurate high-resolution shoreline compiled from imagery of  WELLAND CANAL, LAKE ERIE TO LAKE ONTARIO, ONT-NY .  This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57.  This resource is a member of  https://www.fisheries.noaa.gov/inport/item/39808

Tags: coastal mapping program, coastal maps, coastal survey, continent, doc/noaa/nos/ngs, geographic cell, national geodetic survey, national geospatial data asset, national ocean service, national shoreline, ngda, ngs shoreline, noaa, noaa shoreline, north america, ont-ny, shoreline, shoreline mapping program, u.s. department of commerce, united states of america, water oceans and coasts theme, welland canal
Organization: National Oceanic and Atmospheric Administration, Department of Commerce