AndreaBozzo/ceres-open-data-index huggingface dataset:
Elephant Butte Power Plant Unit 1 Monthly Power Plant Unit Starts Timeseries Data

Values per Facilities, Instructions, Standards, and Techniques (FIST) Vol 1 - 2. Note: Data are reported at a monthly time step. Although values are dated as the first of each month, they represent the end of month value for that month (e.g. value dated April 1 is the April end of month total/sum).   https://www.usbr.gov/power/data/fist_pub.html

Tags: hydropower-generation, inland-waters
Organization: Department of the Interior
Sampling and Analysis of Antimicrobial Resistant Bacteria in Surface Water Samples Collected in the East Fork Watershed in Southwest Ohio Dataset

Dataset for a year long watershed study in southwestern Ohio to analyze antimicrobial resistant bacteria (E. coli, Enterococcus, and Salmonella) in surface waters and wastewater treatment plant effluent. 

Tags: ambient-surface-water, antimicrobial-resistance, e-coli, east-fork-little-miami-river-watershed-data, enterococcus, environmental-recreational-water, salmonella
Organization: U.S. Environmental Protection Agency
Data for changes in L.A. aerosols resulting from reductions in on-road vehicle emissions of NOx and VOCs

This data set contains a link to the VCPy model github repository containing data used in the manuscript by Schulz et al., ACS ES&T Air, 2025 (https://doi.org/10.1021/acsestair.5c00199).

Tags: ammonium-nitrate, pm2-5, soa, volatile-chemical-products-vcps
Organization: U.S. Environmental Protection Agency
State Motor Fuel Tax Receipts (MF-201)

Annual adjusted net total State motor fuel tax receipts from the Highway Statistics Series table MF-210.  The data source is Table MF-1. Increases in 2011 and 2012 were due in large part to a change in California's method of taxing fuel.  2014 saw various States increase motor fuel taxes (California, Connecticut, and Wyoming), and 2015 saw more fuel use.

Tags: fuel-tax, hpms, hppi
Organization: Department of Transportation
2025 SCDVA Lidar DEM: Charleston County, SC

BERKELEY, CHARLESTON, ORANGEBURG LIDAR DATA COLLECTION Lidar Data Acquisition and Processing Production Task Charleston County

Contract Number: 6004
RFQ Number: 6004-25C
Woolpert Order No: 10020258
CONTRACTOR: Woolpert

Lidar data is a remotely sensed high-resolution elevation data collected by an airborne platform. The lidar sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. This task order requires lidar data to be acquired over Charleston County (+/- 1,197 square miles). This lidar data set is comprised of lidar point cloud data, raster DEMs, raster DSMs, raster intensity imagery, and GPS flight line trajectory data. The task required the lidar data to be collected at a nominal pulse spacing (NPS) of 1.15 feet. The lidar dataset was produced using a horizontal datum/projection of NAD83, State Plane South Carolina, International Feet and a vertical datum of NAVD88 (Geoid 18), International Feet. Tidal areas in Charleston's data acquisition were collected within +/- 2 hours of low tide. Additional deliverables include control data and tile index in Esri shapefile format, lidar processing and survey reports in PDF format, and project-level FGDC CSDGM metadata in XML format.

This data was provided to the NOAA Office for Coastal Management (OCM) by the Charleston County Public Works Department, for the purpose of making the data publicly available for custom and bulk downloads from the NOAA Digital Coast Data Access Viewer.

Tags: airplane, charleston county, coastal elevation, coastal processes, continent, dems, digital elevation/terrain model (dem), doc/noaa/nos/ocm, earth science, land surface, lidar, light detection and ranging, national ocean service, noaa, north america, oceans, office of coastal management, south carolina, terrain elevation, topography, u.s. department of commerce, united states of america, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Experimental and Analytical Development of a Health Management System for Electro-Mechanical Actuators

Expanded deployment of Electro-Mechanical Actuators (EMAs) in critical applications has created much interest in EMA Prognostic Health Management (PHM), a key enabling technology of Condition Based Maintenance (CBM). As such, Impact Technologies, LLC is collaborating with the NASA Ames Research Center to perform a number of research efforts in support of NASA’s Integrated Vehicle Health Management (IVHM) initiatives. These efforts have combined experimental test stand development, laboratory seeded fault testing, and physical model-based health monitoring in a comprehensive PHM
system development strategy. This paper discusses two closely related EMA research programs being conducted by
Impact and NASA Ames. The first of these efforts resulted in the creation of an electro-mechanical actuator test stand for the Prognostics Center of Excellence at the NASA Ames Research Center. The second effort is ongoing and is utilizing physics-based modeling techniques to develop an algorithm and software package toolset for PHM of aircraft EMA systems using a hybrid (virtual sensor) approach.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Coyote Pumping Plant - Morgan Hill Di-n-Butyl Phthalate ug/L Time Series Data

Measurements of Di-n-Butyl Phthalate collected at Coyote Pumping Plant - Morgan Hill. Currently collected twice a year, previously collected quarterly. Access further information for this data set by contacting Bureau of Reclamation, California-Great Basin Region, Environmental Affairs Division (CGB-157). See ResultAttributes for STAFF_GAUGE, SMPL_DEPTH, SMPL_CATEGORY_NAME, METHOD_CODE, RESULT_RL, RESULT_RL-UNIT_STD_NAME, RESULT_MDL, RESULT_MDL-UNIT_STD_NAME, USBR_QA_SUBTYPE_NAME, USBR_QULFR_DESCRIPTION. STAFF_GAUGE is the water height in decimal feet measured by gauge (e.g., 15.2). SMPL_DEPTH is the vertical depth at which sample is collected (e.g., 0 - 15 cm). For water samples: depth below water/air interface. For sediment and soil samples: depth below water/solid or air/solid interface. SMPL_CATEGORY_NAME is the category type of sample (e.g., Composite). METHOD_CODE is the name of method used to obtain result (e.g., EPA 200.8). RESULT_RL is the result reporting limit (accounting for dilution) (e.g., 0.02). RESULT_RL-UNIT_STD_NAME is the unit associated with RESULT_RL (e.g., mg/L). RESULT_MDL is the result method detection limit (e.g., 0.007). RESULT_MDL-UNIT_STD_NAME is the unit associated with RESULT_MDL (e.g., mg/L). USBR_QA_SUBTYPE_NAME is the quality control type of the sample (e.g., USBR_BLANK_SPIKE). USBR_QULFR_DESCRIPTION is the quality assurance description (if any) (e.g., Result may have a high bias.).

Tags: surface-water-grab-samples
Organization: Department of the Interior
Sentinel-3A OLCI Level-3B Global Binned Earth-observation Reduced Resolution (ERR) Diffuse Attenuation Coefficient for Downwelling Irradiance (KD) - 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
ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data V006

This data set (ATL13) contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit).

Tags: earth-science, surface-water, terrestrial-hydrosphere
Organization: National Aeronautics and Space Administration
ABoVE LVIS L2 Geolocated Surface Elevation Product V001

This data set contains surface elevation data over Alaska and Western Canada measured by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of NASA's Terrestrial Ecology Program campaign, the Arctic-Boreal Vulnerability Experiment (ABoVE).

Tags: earth-science, land-surface, topography
Organization: National Aeronautics and Space Administration
Aquarius L3 Weekly Polar-Gridded Sea Surface Salinity V005

This data set consists of weekly gridded Level-3 products of Aquarius L-band radiometer Sea Surface Salinity (SSS) retrievals from the Aquarius/Satélite de Aplicaciones Científicas (SAC-D) mission, developed collaboratively between the U.S. National Aeronautics and Space Administration (NASA) and Argentina's space agency, Comisión Nacional de Actividades Espaciales (CONAE).

Tags: cryosphere, earth-science, oceans, salinity-density, sea-ice
Organization: National Aeronautics and Space Administration
GPM DPR Ku-band Received Power L1B 1.5 hours 5 km V07 (GPM_PRL1KU) at GES DISC

Version 07 is the current version of the data set. Older versions are no longer available and have been superseded by Version 07.

This product contains the calibrated received power from the Ku-band Radar of the Dual-frequency Precipitation Radar (DPR) aboard the core satellite of the Global Precipitation Measurement (GPM) mission.

The Ku-radar scan pattern is simpler than that of the Ka-band Radar, and is similar to the TRMM PR. It only has "Normal Scan" (NS) swath consisting of 49 footprints cross-track in a scan and the footprint size is about 5 km in diameter. The scan swath is 245 km.

Tags: atmosphere, atmospheric-water-vapor, earth-science, microwave, precipitation, spectral-engineering
Organization: National Aeronautics and Space Administration
TRMM Precipitation Radar Power and Reflectivity L1B 1.5 hours V7 (TRMM_1B21) at GES DISC

The TRMM Precipitation Radar (PR), the first of its kind in space, is an electronically scanning radar, operating at 13.8 GHz that measures the 3-D rainfall distribution over both land and ocean, and defines  the layer depth of the precipitation.
                                          
The 1B21 calculates the received power at the PR receiver input point from the Level-0 count value which is linearly proportional to the logarithm of the PR receiver output power. To convert the count value to the input power, extensive internal calibrations are applied, which are mainly based upon the system model, temperature dependence of model parameters and many temperature sensors attached at various locations of the PR. Periodically the input-output characteristics are measured using an internal calibration loop for the IF unit and later receiver stages. To make an absolute calibration, an Active Radar Calibrator (ARC) is placed at Kansai Branch of CRL and overall system gain of the PR is being measured every 2 months.  Using the transfer function based on the above internal and external calibrations, the PR received power is obtained. Note that the value assumes that the signal follows the Rayleigh fading, so if the fading characteristics of a scatter is different, a small bias error may occur (within 1 or 2 dB).
	
Changes in horizontal resolution resulting from the TRMM boost that occurred on 24 August 2001:

Pre-Boost (before 7 August 2001): Temporal Resolution: 91.5 min/orbit ~ 16 orbits/day; Swath Width: 215 km; Horizontal Resolution: 4.3 km 

Post-Boost (after 24 August 2001): Temporal Resolution: 92.5 min/orbit ~ 16 orbits/day; Swath Width: 247 km; Horizontal Resolution: 5.0 km

Tags: earth-science, radar, spectral-engineering
Organization: National Aeronautics and Space Administration
Brackish Groundwater National Desalination Research Facility (BGNDRF) Well 1 Zinc-mg/L Time Series Data

BGNDRF has four brackish groundwater wells that provide source water to the various testing areas throughout the facility. Generally, water from these wells is analyzed for a large number of constituents twice a year. This time series provides Well 1 Zinc monitoring data.

Tags: inland-waters
Organization: Department of the Interior
Brackish Groundwater National Desalination Research Facility (BGNDRF) Well 2 pH - Aqueous-units Time Series Data

BGNDRF has four brackish groundwater wells that provide source water to the various testing areas throughout the facility. Generally, water from these wells is analyzed for a large number of constituents twice a year. This time series provides Well 2 pH - Aqueous monitoring data.

Tags: inland-waters
Organization: Department of the Interior
The High resolution Coronal Imager Project

&lt;p align="LEFT"&gt;
	&lt;span style="font-size: 12px;"&gt;&lt;span style="font-family: times new roman,times,serif;"&gt;The telescope design is a direct continuation of the development from NIXT to TRACE and AIA: we propose a Ritchey-Chr&amp;acute;etien with plate scale sufficient to provide 0.1 arcsec pixel size, and multilayer coatings on two D-shaped halves, so that there are two wavelength channels available. The detector is a large-format back-illuminated CCD, providing high quan tum efficiency and rapid readout for high im age cadence. Channel selection is made via selectable focal plane filters. An H-telescope with NTSC (TV) output is included for real-time pointing verification during the flight.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p align="LEFT"&gt;
	&lt;span style="font-size: 12px;"&gt;&lt;span style="font-family: times new roman,times,serif;"&gt;Major components of this new payload have been developed and qualified for the Hinode XRT instrument, SDO program (AIA &amp;amp; HMI) and for the Solar Ultraviolet Magnetograph Investigation (SUMI) sounding rocket. This has helped keep the development costs for Hi-C sig nificantly lower than they otherwise would have been. &lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p align="LEFT"&gt;
	&lt;font face="CMR10" size="3"&gt;&lt;font face="CMR10" size="3"&gt;&lt;font face="CMR10" size="3"&gt;&lt;font face="CMR10" size="3"&gt;&lt;span style="font-size: 12px;"&gt;&lt;span style="font-family: times new roman,times,serif;"&gt;The vehicle layout includes all major components needed for the flight demonstration. . It has a to total length of 108.9 inches and a launch weight of 562.9 pounds. The vehicle is the standard NASA 22-inch diameter shell. The proposed experiment design is based on the SAO NIXT and TXI instrument designs. A detailed weight breakdown is provided in Figure 5. As evidenced by Table 1, every component in the proposed mission has heritage in multiple successful instruments. Now we propose to ex tend the telescope magnification to the diffrac&lt;/span&gt;&lt;/span&gt;&lt;/font&gt;&lt;/font&gt;&lt;/font&gt;&lt;/font&gt;&lt;/p&gt;
&lt;p&gt;
	&lt;span style="font-size: 12px;"&gt;&lt;font face="CMR10"&gt;&lt;font face="CMR10"&gt;&lt;font face="CMR10"&gt;&lt;font face="CMR10"&gt;&lt;font face="CMR10"&gt;&lt;font face="CMR10"&gt;&lt;span style="font-family: times new roman,times,serif;"&gt;tion limit. AIA chose to extend the TRACE resolution to a full-sun field of view and now we are proposing to extend TRACE by increasing the magnification on the secondary mirror. The technologies required to build AIA are identical to that for Hi-C and every major contribution to the development of Hi-C is performed by the teams that built AIA (SAO, LMSAL)&lt;/span&gt;&lt;/font&gt;&lt;/font&gt;&lt;/font&gt;&lt;/font&gt;&lt;/font&gt;&lt;/font&gt;&lt;/span&gt;&lt;/p&gt;
&lt;p align="LEFT"&gt;
	&amp;nbsp;&lt;/p&gt;
&lt;p&gt;
	&amp;nbsp;&lt;/p&gt;

Tags: active, marshall-space-flight-center, project
Organization: National Aeronautics and Space Administration
USGS Digital Orthophoto Quadrangles

A Digital Orthophoto Quadrangle (DOQ) is a computer-generated image of an aerial photograph in which the image displacement caused by terrain relief and camera tilt has been removed. The DOQ combines the image characteristics of the original photograph with the georeferenced qualities of a map.

DOQs are black and white (B/W), natural color, or color-infrared (CIR) images with 1-meter ground resolution.

The USGS produces three types of DOQs:

1. 3.75-minute (quarter-quad) DOQs cover an area measuring 3.75-minutes longitude by 3.75-minutes latitude. Most of the U.S. is currently available, and the remaining locations should be complete by 2004. Quarter-quad DOQs are available in both Native and GeoTIFF formats. Native format consists of an ASCII keyword header followed by a series of 8-bit binary image lines for B/W and 24-bit band-interleaved-by-pixel (BIP) for color. DOQs in native format are cast to the Universal Transverse Mercator (UTM) projection and referenced to either the North American Datum (NAD) of 1927 (NAD27) or the NAD of 1983 (NAD83). GeoTIFF format consists of a georeferenced Tagged Image File Format (TIFF), with all geographic referencing information embedded within the .tif file. DOQs in GeoTIFF format are cast to the UTM projection and referenced to NAD83. The average file size of a B/W quarter quad is 40-45 megabytes, and a color file is generally 140-150 megabytes. Quarter-quad DOQs are distributed via File Transfer Protocol (FTP) as uncompressed files.

2. 7.5-minute (full-quad) DOQs cover an area measuring 7.5-minutes longitude by 7.5-minutes latitude. Full-quad DOQs are mostly available for Oregon, Washington, and Alaska. Limited coverage may also be available for other states. Full-quad DOQs are available in both Native and GeoTIFF formats. Native is formatted with an ASCII keyword header followed by a series of 8-bit binary image lines for B/W. DOQs in native format are cast to the UTM projection and referenced to either NAD27 or NAD83. GeoTIFF is a georeferenced Tagged Image File Format with referencing information embedded within the .tif file. DOQs in GeoTIFF format are cast to the UTM projection and referenced to NAD83. The average file size of a B/W full quad is 140-150 megabytes. Full-quad DOQs are distributed via FTP as uncompressed files.

3. Seamless DOQs are available for free download from the Seamless site. DOQs on this site are the most current version and are available for the conterminous U.S.

[Summary provided by the USGS.]

Tags: aquatic-ecosystems, biosphere, cryosphere, earth-science, geomorphic-landforms-processes, glaciers-ice-sheets, human-dimensions, infrared-wavelengths, infrastructure, land-surface, spectral-engineering, surface-water, terrestrial-hydrosphere, topography, vegetation, visible-wavelengths
Organization: National Aeronautics and Space Administration
Developing Large-Scale Bayesian Networks by Composition

In this paper, we investigate the use of Bayesian networks to construct large-scale diagnostic systems.  In particular, we consider the development of large-scale Bayesian networks by composition. This compositional approach reflects how (often redundant) subsystems are architected to form systems such as electrical power systems. We develop high-level specifications, Bayesian networks, clique trees, and arithmetic circuits representing 24 different electrical power systems. The largest among these 24 Bayesian networks contains over 1,000 random variables. Another BN represents the real-world electrical power system ADAPT, which is representative of electrical power systems deployed in aerospace vehicles. In addition to demonstrating the scalability of the compositional approach, we briefly report on experimental results from the diagnostic competition DXC, where the ProADAPT team, using techniques discussed here, obtained the highest scores in both Tier 1 (among 9 international competitors) and Tier 2 (among 6 international competitors) of the industrial track. While we consider diagnosis of power systems specically, we believe this work is relevant to other system health management problems, in particular in dependable systems such as aircraft and spacecraft.

**Reference:**

O. J. Mengshoel, S. Poll, and T. Kurtoglu. "Developing Large-Scale Bayesian Networks by Composition: Fault Diagnosis of Electrical Power Systems in Aircraft and Spacecraft." Proc. of the IJCAI-09 Workshop on Self-* and Autonomous Systems (SAS): Reasoning and Integration Challenges, 2009

**BibTex Reference:**

@inproceedings{mengshoel09developing,
  title     = {Developing Large-Scale {Bayesian} Networks by  Composition: Fault Diagnosis of Electrical Power Systems in Aircraft and Spacecraft},
  author    = {Mengshoel, O. J. and Poll, S. and Kurtoglu, T.},
  booktitle = {Proc. of the IJCAI-09 Workshop on Self-$\star$ and Autonomous Systems (SAS): Reasoning and Integration Challenges},
  year={2009}
}

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Folsom South Canal At Grantline Rd Chloride ug/L Time Series Data

Measurements of Chloride collected at Folsom South Canal At Grantline Rd. Currently collected twice a year, previously collected quarterly. Access further information for this data set by contacting Bureau of Reclamation, California-Great Basin Region, Environmental Affairs Division (CGB-157). See ResultAttributes for STAFF_GAUGE, SMPL_DEPTH, SMPL_CATEGORY_NAME, METHOD_CODE, RESULT_RL, RESULT_RL-UNIT_STD_NAME, RESULT_MDL, RESULT_MDL-UNIT_STD_NAME, USBR_QA_SUBTYPE_NAME, USBR_QULFR_DESCRIPTION. STAFF_GAUGE is the water height in decimal feet measured by gauge (e.g., 15.2). SMPL_DEPTH is the vertical depth at which sample is collected (e.g., 0 - 15 cm). For water samples: depth below water/air interface. For sediment and soil samples: depth below water/solid or air/solid interface. SMPL_CATEGORY_NAME is the category type of sample (e.g., Composite). METHOD_CODE is the name of method used to obtain result (e.g., EPA 200.8). RESULT_RL is the result reporting limit (accounting for dilution) (e.g., 0.02). RESULT_RL-UNIT_STD_NAME is the unit associated with RESULT_RL (e.g., mg/L). RESULT_MDL is the result method detection limit (e.g., 0.007). RESULT_MDL-UNIT_STD_NAME is the unit associated with RESULT_MDL (e.g., mg/L). USBR_QA_SUBTYPE_NAME is the quality control type of the sample (e.g., USBR_BLANK_SPIKE). USBR_QULFR_DESCRIPTION is the quality assurance description (if any) (e.g., Result may have a high bias.).

Tags: surface-water-grab-samples
Organization: Department of the Interior
RSW Mixed Element Coarse Cell-Centered Mesh

This is the RSW mixed element unstructured mesh dataset for a cell-centered code, including the viscous wind tunnel wall.

UG3      : Grid File Name    = rsw_coarse_mixedcc.b8.ugrid
UG3      : Quad Surface Faces=      6660
UG3      : Tria Surface Faces=     48430
UG3      : Nodes             =   1356655
UG3      : Total Elements    =   3050271
UG3      : Hex Elements      =         0
UG3      : Pent_5 Elements   =      8741
UG3      : Pent_6 Elements   =   2491985
UG3      : Tet Elements      =    549545
UG3      : BL Tet Elements   =      8550

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