AndreaBozzo/ceres-open-data-index huggingface dataset:
Chlorophyll-a, Aqua MODIS, NPP, L3SMI, Global, 4km, R2022 SQ, 2003-present (1 Day Composite)

Moderate Resolution Imaging Spectroradiometer on Aqua (MODISA) Level-3 Standard Mapped Image

Tags: algorithm, aqua, biology, center, chemistry, chlorophyll, chlorophyllr, color, concentration, data, earth, earth science, flight, goddard, group, gsfc, image, imaging, l3, latitude, level, level-3, longitude, mapped, mass, mass_concentration_of_chlorophyll_in_sea_water, moderate, modis, modisa, nasa, obpg, ocean, ocean biology processing group (nasa/gsfc/obpg), ocean chemistry, ocean color, oceans, oci, pigments, processing, resolution, science, sea, seawater, smi, space, spectroradiometer, standard, time, water
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
SST, AQUA_MODIS, Masked, R2022 SQ, NASA GSFC OBPG, Global, 0.04166Â°, 2019-present, Daily

Masked Moderate Resolution Imaging Spectroradiometer on Aqua (MODISA) Level-3 Standard Mapped Image, Sea Surface Temperature (SST) Daily, 4km

Tags: 4km, aqua, center, daily, data, day, daytime, degrees, earth, earth science, erd, fisheries, global, image, imaging, l3, latitude, level, level-3, longitude, mapped, masked, moderate, modis, modisa, national, nmfs, noaa, noaa swfsc erd, npp, ocean, ocean temperature, oceans, orbiting, partnership, polar, polar-orbiting, quality, resolution, science, sea, sea surface temperature, sea_surface_temperature, smi, southwest, spectroradiometer, sst, sstmasked, standard, surface, swfsc, temperature, time
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
MODIS Aqua, Level-3 R2022 NRT, Global, 4km, Particulate Inorganic Carbon, 2003-present (Monthly Composite)

Moderate Resolution Imaging Spectroradiometer on Aqua (MODISA) Level-3 Standard Mapped Image

Tags: aqua, balch, biology, calcite, carbon, center, chemistry, color, concentration, data, earth, earth science, flight, goddard, gordon, group, gsfc, image, imaging, inorganic, inorganic carbon, l3, latitude, level, level-3, longitude, mapped, moderate, modis, modisa, nasa, obpg, ocean, ocean biology processing group (nasa/gsfc/obpg), ocean chemistry, ocean color, oceans, pic, processing, resolution, science, smi, space, spectroradiometer, standard, time
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
SST, NOAA POES AVHRR, LAC, 0.0125 degrees, West US, Day and Night, 2004-present (1 Day Composite), degree_F, Lon+/-180

NOAA CoastWatch provides sea surface temperature (SST) products derived from NOAA's Polar Operational Environmental Satellites (POES).  This data is provided at high resolution (0.0125 degrees) for the North Pacific Ocean.  Measurements are gathered by the Advanced Very High Resolution Radiometer (AVHRR) instrument, a multiband radiance sensor carried aboard the NOAA POES satellites.

Tags: advanced, altitude, area, atssta, avhrr, coast, coastwatch, coastwatch (https://coastwatch.noaa.gov/), coverage, data, day, degrees, earth science, environmental, envisat, high, lac, latitude, local, longitude, night, noaa, node, ocean, ocean temperature, oceans, orbiting, poes, polar, radiometer, resolution, satellite, sea, sea surface temperature, sea_surface_temperature, sst, surface, temperature, time, us, very, vhrr, wcn, west
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
H04046: NOS Hydrographic Survey

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information.
							NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Tags: bathymetry, bathymetry/seafloor topography, continent, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth science, hydrographic surveys for selected locations within the united states (hydro_bathy_2006), in situ ocean-based platforms, marine sediments, national centers for environmental information, national geophysical data center, nesdis, noaa, north america, ocean, oceans, pacific ocean, philippines, seafloor topography, sediment composition, ships, u.s. department of commerce, united states of america, water depth, western pacific ocean
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Optimal sampling locations contamination extent WDS figure dataset 08242018

The dataset was created from simulating contamination incidents in a water distribution system and selecting optimal sampling locations to identify the contamination incident. This data includes the number of contamination scenarios still credible after each sampling cycle; the number of nodes correctly identified as being contaminated after each sampling cycle; and the number of nodes identify as likely contaminated, likely not contaminated, and uncertain after each sampling cycle. 

This dataset is associated with the following publication:
Rodriguez, S., M. Bynum, C. Laird, D. Hart, K. Klise, J. Burkhardt, and T. Haxton. Optimal sampling locations to reduce uncertainty in contamination extent in water distribution systems.   Journal of Infrastructure Systems. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 27(3): 1-31, (2021).

Tags: drinking-water-distribution-system, drinking-water-distribution-system-modeling, grab-samples, model-uncertainty, modeling-and-optimization, source-identification
Organization: U.S. Environmental Protection Agency
Evaluating Manual Sampling Locations for Regulatory and Emergency Response Data Set 20200727

This dataset includes the modeling and simulation results from an analysis of two drinking water distribution system models. The analysis included identifying optimal grab sample locations for both regulatory and emergency response scenarios. The locations were then evaluated against the scenarios for which they were not designed. The dataset includes the node IDs for the sampling locations and the fraction of contamination scenarios detected by the locations. 

This dataset is associated with the following publication:
Haxton, T., K. Klise, D. Laky, R. Murray, C. Laird, and J. Burkhardt. Evaluating Manual Sampling Locations for Regulatory and Emergency Response.   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 147(12): 04021081 1-11, (2021).

Tags: drinking-water-distribution-system, drinking-water-distribution-system-modeling, emergency-response, grab-samples, modeling-and-optimization
Organization: U.S. Environmental Protection Agency
MODIS Aqua, Level-3 R2022 SQ, Global, 4km, Particulate Inorganic Carbon, 2003-present (8 Day Composite)

Moderate Resolution Imaging Spectroradiometer on Aqua (MODISA) Level-3 Standard Mapped Image

Tags: aqua, balch, biology, calcite, carbon, center, chemistry, color, concentration, data, earth, earth science, flight, goddard, gordon, group, gsfc, image, imaging, inorganic, inorganic carbon, l3, latitude, level, level-3, longitude, mapped, moderate, modis, modisa, nasa, obpg, ocean, ocean biology processing group (nasa/gsfc/obpg), ocean chemistry, ocean color, oceans, pic, processing, resolution, science, smi, space, spectroradiometer, standard, time
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Evaluation of the Immobilization of Heavy Metals Data Set

Data is for 9 figures that include raw analyses of heavy metal experiment results including, screening batch tests, FTIR, XRD, pH effects Kinetic batch tests, Isotherm modeling, (Langmuir, Freundlich, Redlich-Peterson), and Column tests. 

This dataset is associated with the following publication:
Wallace, A., C. Su, M. Sexton, and W. Sun. Evaluation of the Immobilization of Co-Existing Heavy Metal Ions of Pb2+, Cd2+, and Zn2+ from Water by Dairy Manure-Derived Biochar: Performance and Reusability.   JOURNAL OF ENVIRONMENTAL ENGINEERING. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 148(6): 04022021, (2022).

Tags: competition, dairy-manure-derived-biochar, heavy-metals, reusability, sorption
Organization: U.S. Environmental Protection Agency
Buoy - California - Wind Sentinel (120), Humboldt - Raw Data

**Overview**

Deployment off the coast of Humboldt, California

**Data Details**

Buoy Data Files name like:  
 buoy.z05.00.20200929.000000.currents.csv  
 buoy.z05.00.20200929.000000.gill.csv  
 buoy.z05.00.20200929.000000.gps.csv  
 buoy.z05.00.20200929.000000.pressure.csv  
 buoy.z05.00.20200929.000000.rh.csv  
 buoy.z05.00.20200929.000000.temperature.csv  
 buoy.z05.00.20200929.000000.waves.csv  
GX5 data:  
buoy.z05.00.20200930.194800.gnss.bin  
buoy.z05.00.20200930.194800.imu.bin

**Data Quality**

More information to follow.

Tags: 00, a2e, atmosphere-to-electrons, buoy, california, eere, offshore-wind-energy-buoy-lidar-project, raw-data, weto, wind, wind-sentinel-120-humboldt, z05
Organization: Department of Energy
Buoy - California - Wind Sentinel (120), Humboldt - Processed Data

**Overview**

The purpose of the dataset is to provide preliminary filtered, averaged lidar data and standardize the data format of various datastreams from the buoy into NetCDF. The attached Lidar Buoy Data Dictionary provides further details on the various instruments mounted on the buoys, parameters measured by each instrument, and the frequency of data collection.

**Data Quality**

Standard filtering thresholds on the averaged data were applied and several data format issues of the raw data were streamlined to create a standardized NetCDF format data.

**Uncertainty**

The uncertainty of lidar data has not been analyzed, but it is not expected to deviate from instrument technical specifications.

Tags: a0, a2e, atmosphere-to-electrons, buoy, california, eere, offshore-wind-energy-buoy-lidar-project, processed-data, weto, wind, wind-sentinel-120-humboldt, z05
Organization: Department of Energy
Full results and analysis code for physical and economic impact of high tide flooding on US road networks

Data produced by this study include 1) shape file of the processed road segments within the floodplain for all coastal counties, 2) python code for processing the raw HPMS data into processed segments and identifying the segments within the flood plain, 3) delays and costs by county, year, sea level rise scenario, and adaptation scenario, and 4) Matlab code for road data statistics, distillation of the processed road segment dataset, and estimation of delays and costs for all scenarios. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

Tags: economic-impact, ground-transportation, high-tide-flooding, sea-level-rise
Organization: U.S. Environmental Protection Agency
Full results and analysis code for valuation of long-term coastal wetland changes in the U.S.

Data produced by this study include 1) database of accretion rates, 2) interpolation and valuation Matlab code, 3) county-level wetland area changes, and 4) county-level economic impacts. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

Tags: coastal-wetlands, economic-valuation, marsh-migration, sea-level-rise
Organization: U.S. Environmental Protection Agency
Uncertainty Estimation Strategies for Quantitative Non-Targeted Analysis

N/A. 

This dataset is associated with the following publication:
Groff, L., J. Grossman, A. Kruve, J. Minucci, C. Lowe, J. McCord, D. Kapraun, K. Phillips, S. Purucker, A. Chao, C. Ring, A. Williams, and J. Sobus. Uncertainty estimation strategies for quantitative non-targeted analysis.   Analytical and Bioanalytical Chemistry. Springer, New York, NY, USA, 414(17): 4919-4933, (2022).

Tags: exposure-estimation, non-targeted-analysis, quantitative, risk-prioritization
Organization: U.S. Environmental Protection Agency
Diffuse Attenuation K490, Aqua MODIS, NPP, L3SMI, Global, 4km, R2022 NRT, 2003-present (1 Day Composite)

Moderate Resolution Imaging Spectroradiometer on Aqua (MODISA) Level-3 Standard Mapped Image

Tags: algorithm, aqua, attenuation, attenuation/transmission, biology, center, coefficient, color, data, diffuse, earth, earth science, flight, goddard, group, gsfc, image, imaging, kd2, l3, latitude, level, level-3, longitude, mapped, moderate, modis, modisa, nasa, obpg, ocean, ocean biology processing group (nasa/gsfc/obpg), ocean optics, oceans, optical, optical properties, optics, processing, properties, resolution, science, smi, space, spectroradiometer, standard, time, transmission
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Predicting compound amenability with liquid chromatography-mass spectrometry to improve non-targeted analysis

The dataset and experimental and predicted amenability calls are provided in the supplemental file “Supplemental_ToxCast_PhaseII.xlsx”.

PaDEL descriptors were generated for each candidate and amenability predictions were calculated using both ESI+ and ESI- downsampled models.  The resulting dataset is available in the supplemental file “Supplemental_Application.xlsx”.
It should be noted that the dataset used in this demonstration is biased toward environmentally relevant chemicals, many of which appear in a large number of chemical lists on the Dashboard (see the DATA_SOURCES column in “Supplemental_Application.xlsx” for both ESI+ and ESI-).  

Training and test datasets were constructed using the PaDEL descriptors and the ESI+ and ESI- endpoint values discussed previously. These training and test sets are provided in the supplemental file “Supplemental_train_test.xlsx”.

A list of descriptors is provided in the supplemental file “Supplemental_Descriptors.xlsx”.

A similar plot (Figure S1) of variable importance for the ESI+ upsampled model, and a similar plot (Figure S2) of variable importance for the ESI- upsampled model can be found in “Supplemental_Figures.docx”. 

This dataset is associated with the following publication:
Lowe, C., K. Isaacs, A. McEachran, C. Grulke, J. Sobus, E. Ulrich, A. Richard, A. Chao, J. Wambaugh, and A. Williams. Predicting compound amenability with liquid chromatography-mass spectrometry to improve non-targeted analysis.   Analytical and Bioanalytical Chemistry. Springer, New York, NY, USA, 413(30): 7495-7508, (2021).

Tags: machine-learning, mass-spectrometry, non-targeted-analysis, predictive-modeling, random-forest, suspect-screening-analysis
Organization: U.S. Environmental Protection Agency
Percent Of Denied Mortgage Loan Applications By Race And Occupancy Type 2021

Dataset contains the percent of denied mortgages based on the type of dwelling the applicant is applying for and disaggregated by race. Each cell represents the denial rate within that column's race/ethnicity category's total applications. Data pulled from the Consumer Financial Protection Bureau, collected by the Home Mortgage Disclosure Act, which requires many financial institutions to maintain, report, and publicly disclose information about mortgages.

Organization: City of Los Angeles
Percent Of Denied Mortgage Loan Applications By Race And Loan Purpose 2021

Dataset contains the percent of denied mortgages based on the purpose of the application and disaggregated by race. Each cell represents the denial rate within that column's race/ethnicity category's total applications. Data pulled from the Consumer Financial Protection Bureau, collected by the Home Mortgage Disclosure Act, which requires many financial institutions to maintain, report, and publicly disclose information about mortgages.

Organization: City of Los Angeles
High-resolution Topography of Sertengshan Piedmont Fault, Northern China

This dataset comprises a 1-m-resolution digital elevation model (DEM) of the Sertengshan Piedmont Fault in Northern China acquired by an airborne LiDAR survey. The LiDAR data were collected by the Aerospace ShuWei Company in Beijing, China in August 2019, using a Riegl VUX-1LR airborne LiDAR system mounted on a DM-150W fixed-wing unmanned aerial vehicle (UAV). The LiDAR data cover about a 1-km-wide swath along ~185 km section of the Sertengshan Piedmont Fault. The average point density is higher than 4 points/m2 and as high as 10 points/m2 in some local areas. The vertical accuracy of the LiDAR data is demonstrated to be better than 10 cm.

Organization: OpenTopography
Lidar Survey of the Sierra Nevada Mountains, CA 2012

Lidar was collected between November 01 2012 and November 07 2012 in the Northern Sierra Nevada Mountains of California. Data were collected by National Center for Airborne Laser Mapping (NCALM) for Dr. Qinghua Guo at the University of California, Merced Sierra Nevada Research Institute. This dataset covers roughly 437 km2

Organization: OpenTopography
Topographic Signatures of Barrier Island Vulnerability, TX 2021

This lidar dataset was collected as part of an NCALM Seed grant for Kenton Fisher at  Texas A&M University. This dataset was collected to help analyze changes in the sand budget, elevation, and geomorphic facies of Padre Island, Texas. The study area is located on Padre Island, east of Port Mansfield, Texas and covers approximately 61 km2.

Organization: OpenTopography
Structure from Motion data along the sSAF, Salt Creek, CA 2021

This high-resolution topography dataset of the southernmost San Andreas Fault (sSAF) includes a point cloud, digital surface model (DSM) and orthomosaic that cover an area of approximately 338,000 square meters along the main strand of the sSAF at Salt Creek, near the northeastern shoreline of the modern-day Salton Sea.  The purpose of this dataset was to provide high-resolution imagery to examine tectonically offset geomorphic features to gather estimates for slip distribution for a study conducted along ~80 km of the sSAF

Organization: OpenTopography
Sediment Accretion Rates and Spatial Patterns in the Wax Lake Delta, LA 2020

Rising sea levels and an increasing frequency of storm events has put deltas worldwide at risk. However, sediment deposition from fluvial sources can build land in deltas and counteract this modern trend of land loss. Understanding sediment transport and deposition patterns in coastal deltas thus represents a promising approach to maximizing their future survival. This lidar dataset was collected as part of an NCALM Seed grant for Justin Nghiem at the  California Institute of Technology to help understand modern coastal sediment accretion rates and spatial patterns in the Wax Lake Delta, LA. The study area is located southwest of Morgan City, LA and covers approximately 53 km2. Note about point classifications: Ground classification was done using a morphological filter in Terrascan and points included in class 2. Bathymetry points classification was done on returns from green laser i.e. channel 3 over the waterbody. Due to the characteristics of the water body (murky water, dark bottom), it cannot be ascertained with 100% certainty that the laser returns from shots of green channel that penetrated the water column, are from the bottom. The lowest returns were classified as the bathymetry points (class 40) as they have the highest probability of representing the water body bottom. All the other green channel points (channel 3) over the water body were classified separately in class 9 as water points. The points over the water surface from the IR laser channels (channel 2 and 3) were classified in class 41 as water surface. Class 1 includes the unclassified points from Channels 1,2 and 3. Therefore, point classifications are as follows:  1: Unclassified - all channels 2: Ground - all channels 9: Water - from channel 3 (green) 40: Bathymetric Points - channel 3 (green) 41: Water Surface Points - channel 2 and 3 (IR channels) 

Organization: OpenTopography
Education  - ACS 2014-2018 - Tempe Tracts

This feature layer provides the educational attainment levels in the City of Tempe by census tract. The feature layer was created by clipping the <i>ACS Educational Attainment Variables - Boundaries 2014-18, </i>downloaded from Esri's Living Atlas,<i> </i>to the City of Tempe boundary layer.<div><br /></div><div><a href='https://tempegov.maps.arcgis.com/home/item.html?id=84e3022a376e41feb4dd8addf25835a3' rel='nofollow ugc'>https://tempegov.maps.arcgis.com/home/item.html?id=84e3022a376e41feb4dd8addf25835a3</a><br /></div>

Tags: census, equity
Organization: City of Tempe
2014 Lake County Aerial Color InfraRed (CIR) - SE Quarter

This six inch pixel resolution color infrared aerial photography was flown between April 18, 2014 and April 26, 2014. The files are provided in JPEG2000, an open format supported by most GIS and CAD software packages. Its intended usage for viewing is 1" = 100. The photography has been orthorectified to meet National Map Accuracy Standards for its capture scale. The images are georeferenced to the Illinois State Plane, Eastern Zone, using the NAD83 NSRS2007 horizontal datum. Color InfraRed (CIR) imagery allows users to "see" the electromagnetic spectrum beyond the visible range. It does this by using the visible spectrum (red, green, blue) and combining it with the Near InfraRed (NIR) spectrum. CIR imagery is useful for determining the health of vegetation, which show up in various shades of red. It can also be helpful in identifying features like water, paved surfaces or non-vegetated areas, which appear black or grey respectively. The data set is tiled for dissemination into many separate tiles, each of which is 2500 feet on a side.

Tags: 2014, aerial-photography, air-imagery, air-photo, color-aerial-imagery, color-infrared, digital-orthoimagery, digital-orthophoto, digital-orthorectified-imagery, high-resolution-orthoimagery, historic-aerial-imagery, imagery, lake-county-illinois, orthoimagery, orthophoto, orthophotography, satellite-imagery
Organization: Lake County, Illinois
2017 Lake County Aerial - NW Quarter

This three inch pixel resolution color aerial photography was flown between March 11, 2017 and April 12, 2017. The files are provided in JPEG2000, an open format supported by most GIS and CAD software packages. Its intended usage for viewing is 1" = 100. The photography has been orthorectified to meet National Map Accuracy Standards for its capture scale. The images are georeferenced to the Illinois State Plane, Eastern Zone, using the NAD83 2011 horizontal datum. The data set is tiled for dissemination into many separate tiles, each of which is 2500 feet on a side.

Tags: 2017, aerial-photography, air-imagery, air-photo, color-aerial-imagery, digital-orthoimagery, digital-orthophoto, digital-orthorectified-imagery, high-resolution-orthoimagery, historic-aerial-imagery, imagery, lake-county-illinois, orthoimagery, orthophoto, orthophotography, satellite-imagery
Organization: Lake County, Illinois
2017 Lake County Aerial - SE Quarter

<span style='font-family: &quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size: 16px;'>This three inch pixel resolution color aerial photography was flown between March 11, 2017 and April 12, 2017. The files are provided in JPEG2000, an open format supported by most GIS and CAD software packages. Its intended usage for viewing is 1&quot; = 100. The photography has been orthorectified to meet National Map Accuracy Standards for its capture scale. The images are georeferenced to the Illinois State Plane, Eastern Zone, using the NAD83 2011 horizontal datum. The data set is tiled for dissemination into many separate tiles, each of which is 2500 feet on a side.</span>

Tags: 2017, aerial-photography, air-imagery, air-photo, color-aerial-imagery, digital-orthoimagery, digital-orthophoto, digital-orthorectified-imagery, high-resolution-orthoimagery, historic-aerial-imagery, imagery, lake-county-illinois, orthoimagery, orthophoto, orthophotography, satellite-imagery
Organization: Lake County, Illinois