AndreaBozzo/ceres-open-data-index huggingface dataset:
Remotely operated vehicle (ROV) transects collected in 2014 (Point Shapefile) southwest and northeast of St. Croix, U.S. Virgin Islands (NODC Accession 0128255)

This point shapefile denotes the location of underwater photos and/or video that were collected by NOAA scientists using a Mohawk ROV (remotely operated vehicle). Photos and/or video were collected between 03/04/2014 to 04/08/2014 along 44 transects southwest and northeast of St. Croix, U.S. Virgin Islands. These photos and videos will be manually classified into different habitat classes, and integrated with the abiotic data collected by the acoustic sonar (sound navigation and ranging) systems to develop a benthic habitat map for the U.S. Caribbean. Habitat maps describe the location of habitat features (in relation to the shoreline), their physical composition and the types of organisms that colonize them. Fundamentally, habitat maps provide critical information about the extent, health and composition of marine resources, which is vital for communicating information about the distribution and abundance of species to resource managers, scientists and the public. Habitat maps also support an increasing number of landscape ecology studies, as well as the process of marine spatial planning, including the design and evaluation of marine protected areas (MPAs).

Tags: 463, atlantic ocean, baseline studies, benthic habitat, benthos analysis, biosphere, caribbean sea, coastal processes, coral reef ecology, coral reefs, corals, coris_metadata, country/territory, earth science, ecological characterization, geographic information, geomorphology mapping, habitat, habitat mapping, habitats, hard coral cover, mapping, mapping essential fish habitat in the us caribbean to inform mpa management, marine habitat, marine management areas, numeric data sets, ocean basin, oceans, octocoral cover, photographic analysis, reef locations, reef monitoring and assessment, st. croix, st. croix (17n064w0003), transect monitoring, u. s. virgin islands, united states of america, video transect, virgin islands, visual images, zoology
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Data information for Environmentally Persistent Free Radicals in Outdoor Surface Grime during Pollen Season

This entry provides information on how to obtain the data for the manuscript entitled "Environmentally Persistent Free Radicals in Outdoor Surface Grime during Pollen Season". This dataset is not publicly accessible because: Data is maintained by Stephanie Schneider. It can be accessed through the following means: Data can be accessed by contacting Stephanie Schneider at stephanie.schneider@uleth.ca . Format: Data details and format can be obtained from the corresponding author, Stephanie Schneider. 

This dataset is associated with the following publication:
Schneider, S., A. Holder, and S. Styler. Environmentally Persistent Free Radicals in Outdoor Surface Grime during Pollen Season.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 12(9): 1211-1217, (2025).

Tags: atmospheric-deposition, field-sampling, organic-film, photochemistry, pollen, surface-film, urban-grime
Organization: U.S. Environmental Protection Agency
NLR HPC Eagle GPU Node Metrics

Ganglia node metrics and iLO (Integrated Lights Out) power data captured from six representative Eagle GPU nodesThe Eagle HPC operated at NLR from 2019 through 2024. Eagle was a 2,000-node, 8-petaflop system. This dataset is a representative sample of metrics for 6 of the GPU nodes. Each GPU node contained 2 CPUs and 2 GPUs. Data provided in compressed CSV format.Ganglia and iLO Power Time Series Fields&nbsp;ts: &nbsp;Timestampdv: &nbsp;Device / Node - Rack and Unit - r103u17 == r(ack)103u(nit)17mt: &nbsp;Metric (only present for Ganglia)vl: &nbsp;Value - Value in watts for iLO power (instantaneous value at sampling time) or specified Ganglia metric belowGanglia MetricsMetric name -- Metric description -- Unitcpu_aidle -- Percent of time since boot idle CPU -- Percentcpu_idle -- Percent CPU idle -- Percentcpu_nice -- Percent CPU nice -- Percentcpu_speed -- Speed in MHz of CPU -- MHzcpu_user -- Percent CPU user -- Percentcpu_wio -- The percentage of CPU Wait I/O -- Percentgpu0_bar1_memory -- Used GPU bar1 memory -- MBgpu0_decoder_util -- GPU decoder utilization -- Percentgpu0_ecc_db_error -- Total ECC error counts for the GPU -- Numbergpu0_encoder_util -- GPU encoder utilization -- Percentgpu0_fan -- Fan speed -- RPMgpu0_fb_memory -- Used GPU framebuffer memory -- MBgpu0_graphics_clock_report -- Current clock speeds for the device -- MHzgpu0_mem_total -- Memory total -- MBgpu0_mem_util -- Memory utilization -- Percentgpu0_power_usage_report -- Power usage report -- Wattsgpu0_temp -- GPU 1 temperature -- Celsiusgpu1_bar1_memory -- Used GPU bar1 memory -- MBgpu1_decoder_util -- GPU decoder utilization -- Percentgpu1_ecc_db_error -- Total ECC error counts for the GPU -- Numbergpu1_encoder_util -- GPU encoder utilization -- Percentgpu1_fan -- Fan speed -- RPMgpu1_fb_memory -- Used GPU framebuffer memory -- MBgpu1_graphics_clock_report -- Current clock speeds for the GPU -- MHzgpu1_mem_total -- Memory total -- MBgpu1_mem_util -- Memory utilization -- MBgpu1_power_usage_report -- Power usage report -- Wattsgpu1_temp -- GPU 1 temperature -- Celsiusipmi_cpu1_temp -- CPU 1 temperature -- Celsiusipmi_cpu2_temp -- CPU 2 temperature -- Celsiusipmi_inlet_ambient_temp -- Temperature measured at intake -- Celsiusipmi_vr_p1_temp -- CPU 1 voltage regulator temperature -- Celsiusipmi_vr_p2_temp -- CPU 2 voltage regulator temperature -- Celsiusmem_buffers -- Amount of buffered memory -- Bytesmem_cached -- Amount of cached memory -- Bytesmem_free -- Amount of available memory -- Bytesmem_shared -- Amount of shared memory -- Bytesmem_total -- Amount of available memory -- Bytes

Tags: esif, gpu, hpc, node-usage, power
Organization: Department of Energy
NLR HPC Facility Power Usage Effectiveness (PUE) Data

Timeseries of Energy Systems Integration Facility (ESIF) Data Center Power Usage Effectiveness (PUE) Data provided in Parquet and compressed CSV formatsPower Metrics Timeseries Fields:ts: &nbsp;Timestampcooling_kw: &nbsp;Cooling (kilowatts) - Captures the power used by fans and pipe trace heaters associated with outdoor cooling equipment. The dedicated tower filter pump power is also captured as cooling load.energy_reuse: &nbsp;Energy Reuse Effectivenesshvac_kw: &nbsp;Heating, ventilation, and air conditioning (kilowatts) - Captures fan walls, fan coils that support the data center electrical rooms, and the make-up air unit.it_power_kw: &nbsp;IT equipment (kilowatts) - Captures power used by the IT equipment on the data center floor.plug_and_light_kw: &nbsp;Lights and utility plugs (kilowatts) - Captures power associated with the data center and dedicated mechanical room. The crank-case heater for the emergency standby generator is also captured as light and plug load.pue: &nbsp;Power Usage Effectivenesspump_kw: &nbsp;Pumps (kilowatts) - Captures power from pumps that move water in the data center Energy Recover Water loop and the Tower Water loops, and also captures power used by the boost pumps that circulate water through the fan walls. Note: The tower filter pump runs constantly to filter water from the data center cooling tower system, so 2.67 kilowatts are attributed to this pump and that is not reflected in this data field.day: &nbsp;Day of monthOutside Weather Station Timeseries Fields:ts: &nbsp;Timestampoutside_air_humidity: &nbsp;Outside air humidity - Relative humidity percentoutside_air_temp: &nbsp;Outside air temperature - Degrees Fahrenheitday: &nbsp;Day of monthMore detail: High-Performance Computing Data Center Power Usage Effectiveness

Tags: esif, hpc, power, pue
Organization: Department of Energy
NASA open-source code projects with A.I.-generated tags

A JSON that is used to build the content on code.nasa.gov. This JSON contains names, descriptions, links, and keyword tags for all NASA open-sourced code projects released through the SRA (Software Release Authority) and available on code.nasa.gov. 

It was updated on August, 2019.

Tags: a-i, code, json, keywords, machine-learning, open-source, small, software, tag, usg-artificial-intelligence, web-development, website
Organization: National Aeronautics and Space Administration
Global Land Survey 1990

Global Land Survey 1990 images were acquired from 1987 to 1997 by Landsat 4-5 TM.
The U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) collaborated on the creation of the global land datasets using Landsat data from 1972 through 2008. Each of these global datasets was created from the primary Landsat sensor in use at the time: the Multispectral Scanner (MSS) in the 1970s, the Thematic Mapper (TM) in 1990, the Enhanced Thematic Mapper Plus (ETM+) in 2000, and a combination of TM and ETM+, as well as EO-1 ALI data, in 2005.

Tags: earth-science, land-surface, surface-radiative-properties, topography
Organization: National Aeronautics and Space Administration
MetOp-C ASCAT Level 2 Ocean Surface Wind Vectors Optimized for Coastal Ocean

This dataset contains operational near-real-time Level 2 coastal ocean surface wind vector retrievals from the Advanced Scatterometer (ASCAT) on MetOp-C at 12.5 km sampling resolution (note: the effective resolution is 25 km). It is a product of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) Ocean and Sea Ice Satellite Application Facility (OSI SAF) provided through the Royal Netherlands Meteorological Institute (KNMI). This coastal dataset differs from the standard 12.5 and 25 km datasets in that it utilizes a spatial box filter (rather than the Hamming filter) to generate a spatial average of the Sigma-0 retrievals from the Level 1B dataset; all full resolution Sigma-0 retrievals within a 15 km radius of the wind vector cell centroid are used in the averaging. Since the full resolution L1B Sigma-0 retrievals are used, all non-sea retrievals are discarded prior to the Sigma-0 averaging. Each box average Sigma-0 is then used to compute the wind vector cell using the same CMOD7.n geophysical model function as in the standard OSI SAF ASCAT wind vector datasets. With this enhanced coastal retrieval, winds can be computed as close to ~15 km from the coast. Each file is provided in netCDF version 3 format, and contains one full orbit derived from 3-minute orbit granules. Latency is approximately 2 hours from the latest measurement. The beginning of the orbit is defined by the first wind vector cell measurement within the first 3-minute orbit granule that starts north of the Equator in the ascending node. ASCAT is a C-band dual swath fan beam radar scatterometer providing two independent swaths of backscatter retrievals in sun-synchronous polar orbit aboard the MetOp-C platform. For more information on the MetOp-C mission, please visit: https://www.eumetsat.int/our-satellites/metop-series . For more timely announcements, users are encouraged to register with the KNMI scatterometer email list: scat@knmi.nl. Users are also highly advised to check the dataset user guide periodically for updates and new information on known problems and issues. All intellectual property rights of the OSI SAF products belong to EUMETSAT. The use of these products is granted to every interested user, free of charge. If you wish to use these products, EUMETSAT's copyright credit must be shown by displaying the words "copyright (year) EUMETSAT" on each of the products used.

Tags: earth-science, ocean-winds, oceans
Organization: National Aeronautics and Space Administration
Terra MODIS Level-2 Regional 4µm Nighttime Sea Surface Temperature (SST4) 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
Anomaly Detection in a Fleet of Systems

A fleet is a group of systems (e.g., cars, aircraft) that are designed and manufactured the same way and are intended to be used the same way. For example, a fleet of delivery trucks may consist of one hundred instances of a particular model of truck, each of which is intended for the same type of service—almost the same amount of time and distance driven every day, approximately the same total weight carried, etc. For this reason, one may imagine that data mining for fleet monitoring may merely involve collecting operating data from the multiple systems in the fleet and developing some sort of model, such as a model of normal operation that can be used for anomaly detection. However, one then may realize that each member of the fleet will be unique in some ways—there will be minor variations in manufacturing, quality of parts, and usage. For this reason, the typical machine learning and statis- tics algorithm’s assumption that all the data are independent and identically distributed is not correct. One may realize that data from each system in the fleet must be treated as unique so that one can notice significant changes in the operation of that system.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Sounder SIPS: AQUA AIRS IR + MW Level 2 CLIMCAPS: Cloud Cleared Radiances V2 at GES DISC

The CLIMCAPS (Community Long-term Infrared Microwave Coupled Product System) algorithm is used to analyze data from the AIRS (Atmospheric Infrared Sounder) and AMSU (Advanced Microwave Sounding Unit). The AIRS instrument is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. The AIRS in combination with the AMSU constitutes an innovative atmospheric sounding group of infrared and microwave sensors. The AIRS Standard Retrieval Product consists of retrieved estimates of cloud and surface properties, plus profiles of retrieved temperature, water vapor, ozone, carbon monoxide and methane. The temperature profile vertical resolution is 100 levels total between 1100 mb and 0.1 mb, while moisture profile is reported at atmospheric layers between 1100 mb and 300 mb. The horizontal resolution is 50 km. 
 

Cloud-Cleared Radiances contain calibrated, geolocated channel-by-channel AIRS infrared radiances (milliWatts/m2/cm-1/steradian) that would have been observed within each AMSU footprint if there were no clouds in the FOV.

An AIRS granule has been set as 6 minutes of data, 30 footprints cross track by 45 lines along track for each of the approximate 2378 channels. There are 240 granules per day, with an orbit repeat cycle of approximately 16 day.

Tags: earth-science, infrared-wavelengths, microwave, spectral-engineering
Organization: National Aeronautics and Space Administration
CDDIS_GNSS_products_ionosphere_rapid

Ionosphere Total Electron Content (TEC) grids derived from analysis of Global Navigation Satellite System (GNSS) data. These products are the generated by analysis centers in support of the International GNSS Service (IGS) and combined by the IGS ionosphere analysis coordinator to form the official IGS rapid ionosphere product (daily).

Tags: nasa
Organization: National Aeronautics and Space Administration
SENTINEL-1B_METADATA_RAW

Metadata for Sentinel-1B level zero 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
SMAP Enhanced L3 Radiometer Global and Polar Grid Daily 9 km EASE-Grid Soil Moisture V006

This enhanced Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) radiometer. This product is a daily composite of SMAP Level-2 (L2) soil moisture which is derived from SMAP Level-1C (L1C) interpolated brightness temperatures. Backus-Gilbert optimal interpolation techniques are used to extract information from SMAP antenna temperatures and convert them to brightness temperatures, which are posted to the 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in a global cylindrical projection. As of 2021, the data are also posted to the Northern Hemisphere EASE-Grid 2.0, an azimuthal equal-area projection.

Tags: earth-science, land-surface, microwave, soils, spectral-engineering
Organization: National Aeronautics and Space Administration
A Mission Simulation and Evaluation Platform for Terrestrial Hydrology using the NASA Land Information System (LIS) Project

&lt;p&gt;
	Develop a mission simulation and evaluation platform for terrestrial hydrology missions by creating an end-to-end observation system simulation experiment (OSSE) platform by using NASA LIS&amp;rsquo; data assimilation, optimization, and uncertainty estimation tools.&amp;nbsp; This platform will enable:&lt;br /&gt;
	Quantifying the impact of observations through a variety of OSSE configurations and evaluation metrics related to terrestrial hydrologic science and applications&lt;br /&gt;
	Improving the use of products for end-use applications and science, and quantifying the mission risks for GPM and GRACE-II&lt;/p&gt;

Tags: active, nasa-headquarters, project
Organization: National Aeronautics and Space Administration
Gazetteer of Planetary Nomenclature: Saturnian System: Rhea

These images display several of Saturn's moons approved by the International Astronomical Union (IAU).

Tags: dione, enceladus, epimetheus, hyperion, iapetus, imagery, images, janus, mimas, moons, phoebe, rhea, saturn, tethys, titan, usgs, working-group-for-planetary-system-nomenclature
Organization: National Aeronautics and Space Administration
NASA 3D Models: Mark III Spacesuit

Both the JSC Mark III and the ARC AX-5 suit have been designed to operate at a pressure of 8.3 psi. Current space shuttle spacesuits operate at 4.3 psi and require a time-consuming pre-breathing operation prior to the beginning of any spacewalk. Polygons: 34892 Vertices: 35222

Tags: 3d-model, astronaut, mark-iii, mkiii, spacesuit, suit
Organization: National Aeronautics and Space Administration
Supporting Information for Very Long Baseline Interferometry (VLBI) Data and Products from NASA CDDIS

Very Long Baseline Interferometry (VLBI) is a geometric technique: it measures the time difference between the arrival at two Earth-based antennas of a radio wavefront emitted by a distant quasar. VLBI precisely locates points on Earth by comparing radio signals from a quasar radio source located in deep space received at different times at different Earth ground stations. This method gives relative positions of the Earth stations. VLBI data can be used to calculate information on Earth rotation, length of day, polar motion, baseline and velocities of stations. Products generated by VLBI contribute to research in many areas, including solid Earth, tides, studies of the vertical, fundamental astronomy, and VLBI technique improvement. More information about these data and products are available on the CDDIS website at https://cddis.nasa.gov/Data_and_Derived_Products/VLBI/VLBI_data_and_product_archive.html.

Tags: earth-science, geodetics, gravity-gravitational-field, solid-earth, tectonics
Organization: National Aeronautics and Space Administration
IceBridge-Related DMS-Derived L4 Sea Ice Surface Cover Classification Images V001

This data set contains reprocessed images depicting labels that indicate the sea ice surface category, created by processing <a href="https://nsidc.org/data/iodms0">IceBridge DMS L0 Raw Imagery</a> with the Open Source Sea-ice Processing Algorithm. An orthorectified version of this data set is available as <a href="https://nsidc.org/data/rdsisco4">IceBridge-Related DMS-Derived L4 Sea Ice Surface Cover Classification Orthorectified Images</a>.

Tags: cryosphere, earth-science, oceans, sea-ice
Organization: National Aeronautics and Space Administration
High Mountain Asia CMIP6 Monthly and Yearly Water Balance Projections, 2016-2099 for Parts of Afghanistan, Tajikistan, Kyrgyzstan, and Pakistan V001

This High Mountain Asia (HMA) data set comprises a suite of monthly and yearly water balance model (WBM) projections for the years 2016 – 2099, covering parts of Afghanistan, Tajikistan, Kyrgyzstan, and Pakistan (primarily the headwaters of the Amu Darya and Indus River basins).

Projections are available for 12 Coupled Model Intercomparison Project Phase 6 (CMIP6) global climate models and two Shared Socioeconomic Pathways (SSP 2-4.5 and SSP 5-8.5). The data were generated using the University of New Hampshire WBM.

A historical run is also available for the years 1980 through 2018, using as input ERA5 reanalysis temperature data and ensemble precipitation estimates developed for High Mountain Asia.

Tags: earth-science, terrestrial-hydrosphere, water-budget
Organization: National Aeronautics and Space Administration
Sentinel-3B OLCI Level-3B Global Binned Earth-observation Reduced-Resolution (ERR) Inherent Optical Properties (IOP), 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
SMAP Radiometer Twice-Daily rSIR-Enhanced EASE-Grid 2.0 Brightness Temperatures V002

This data set contains twice-daily, enhanced-resolution brightness temperature data derived from the SMAP radiometer. Data are available on the Northern Hemisphere, Southern Hemisphere, Temperate, and Mid-Latitude (sub-set of Global) EASE-Grid 2.0 projections and on the 3 km, 3.125 km, 9 km,  25 km, and 36 km resolution grids. This data set applies the same SIR technique used to derive brightness temperatures from the SMMR, AMSR-E, and SSM/I-SSMIS sensors and is a companion product for the MEaSUREs Calibrated Enhanced-Resolution Passive Microwave Daily EASE-Grid 2.0 Brightness Temperature ESDR data set (DOI: 10.5067/MEASURES/CRYOSPHERE/NSIDC-0630.001).

Tags: earth-science, microwave, spectral-engineering
Organization: National Aeronautics and Space Administration
IceBridge Sander AIRGrav L4 Bathymetry V001

This data set contains bathymetry of Arctic fjords and Antarctic ice shelves based on measurements from the Sander Geophysics Airborne Inertially Referenced Gravimeter (AIRGrav) system. The data were collected as part of Operation IceBridge funded aircraft survey campaigns.

Tags: bathymetry-seafloor-topography, earth-science, oceans
Organization: National Aeronautics and Space Administration