AndreaBozzo/ceres-open-data-index huggingface dataset:
Cutting Force Monitoring Experiment 02

An experiment was set up at the Oak Ridge National Laboratory (ORNL) to test methods for estimating the cutting forces in real time within machine tools for any spindle speed, force profile, tool type, and cutting conditions. Before cutting, a metrology suite and instrumented tool holder were used to induce magnetic forces during spindle rotation, while on-machine vibrations, magnetic forces, and error motions were measured for various combinations of speeds and forces. A model may then relate the measured accelerations to the forces, such that during cutting, on-machine measured vibrations may be used in the model to estimate the cutting forces in real time. To test this process, the metrology suite and the instrumented tool holder were removed, except that the on-machine accelerometers remained. A dynamometer was then set up on the worktable with a workpiece to independently measure cutting forces during machining. Various cutting passes were performed with an end mill while the dynamometer data and accelerometer data were collected. Even though considerable research has been conducted to estimate cutting forces with accelerometers and measured frequency response functions (FRFs), one main challenge remains: a method must be created to estimate the cutting forces in real-time for any spindle speed, force profile, tool type, and cutting conditions. This dataset can be used to develop or advance such methods for industrial adoption.

Tags: data-driven-dynamics, diagnostics, dynamics, frequency-response-function, industry-4-0, machine-tool, machining-processes, modeling, monitoring, sensing, smart-manufacturing
Organization: National Institute of Standards and Technology
BioCTS for ISO/IEC Biometric Data Interchange Format Standards and Selected PIV Profiles version 3.2.8726.14508

BioCTS for ISO/IEC Biometric Data Interchange Format Standards and Selected PIV Profiles is a conformance testing architecture that tests biometric data interchange records for conformance to ISO/IEC based biometric data interchange formats. The software includes a graphical user interface, several different conformance test suites, and provides detailed descriptions of any errors found.

Tags: biocts, biometrics, conformance-test-tool, conformance-testing
Organization: National Institute of Standards and Technology
Data associated with "Characterizing the broadband RF permittivity of 3D-integrated layers in a glass wafer stack from 100 MHz to 30 GHz" for the 2024 International Microwave Symposium (IMS) in Washington, D.C.

We present a method for accurately determining the permittivity of dielectric materials in 3D integrated structures at broadband RF frequencies. With applications of microwave and millimeter-wave electronics on the rise, reliable methods for measuring the electrical properties of dielectrics used in integrated circuits are critical. We outline an on-wafer method for extracting the permittivity of a 3D multilayer glass structure from 100 MHz to 30 GHz using S-parameter measurements of different calibration chips. Our method can be used to inform better design of metrology for dielectric materials for 3D integrated circuit technologies.This is data associated with the manuscript "Characterizing the broadband RF permittivity of 3D-integrated layers in a glass wafer stack from 100 MHz to 30 GHz" for the 2024 International Microwave Symposium (IMS) in Washington, D.C. The manuscript is currently under review by ERB in the NPS system under PUB ID 957051 / N2024-0193

Tags: dielectrics, glass, microwave-integrated-circuits, permittivity, wafer-level-packaging
Organization: National Institute of Standards and Technology
Smart network repository based on Neo4j native graph database

To address the increasing complexity of network management and the limitations of data repositories in handling the various network operational data, this paper proposes a novel repository design that uniformly represents network operational data while allowing for a multiple abstractions access to the information. This smart repository simplifies network management functions by enabling network verification directly within the repository. The data is organized in a knowledge graph compatible with any general-purpose graph database, offering a comprehensive and extensible network repository. Performance evaluations confirm the feasibility of the proposed design. The repository's ability to natively support 'what-if' scenario evaluation is demonstrated by verifying Border Gateway Protocol (BGP) route policies and analyzing forwarding behavior with virtual Traceroute.

Tags: control-plane-verification, data-plane-analysis, knowledge-graph, neo4j, network-data, network-management, repository, sdn
Organization: National Institute of Standards and Technology
Dynamic compressive stress-strain curves of aluminum alloy 6061-T6 with rapid heating

This dataset contains raw mechanical data (strain, stress and strain rate curvesand initial temperatures) for compression experiments performed on aluminum alloy 6061-T6using the NIST pulse-heated Kolsky Bar at strain rates between 2400 1/s and 2700 1/s and initialtemperatures from 23 °C to 527 °C and heating times ranging between 0.2 s and 3.5 s. At this time,the thermal history of the specimen during heating is not included in the dataset but this informationmay be included in a future update. The pulse-heated Kolsky bar method is described in reference [1].Additional information regarding the temperature measurement methods specific to aluminum are found inreference [2] as well as a supplementary included in this data publication [3]. This datasetincludes measurements of right-circular cylindrical samples measuring 6 mm diameter by 3 mm thick,fabricated by conventional machining. The effect of the surface condition on the thermographic temperature measurements and the temperature uncertainty calculations are described in reference [3], which is included in this dataset as metadata.[1] Mates, S.P., et al., A Pulse-Heated Kolsky Bar Technique for Measuring the Flow Stress of Metals at High Loading and Heating Rates. Experimental Mechanics, 2008. 48(6): p. 799-807.https://dx.doi.org/10.1007/s11340-008-9137-1[2] Lopez-Hawa, H., et al., On the Mechanical Response of Aluminum Alloy 6061-T6 under Extreme Strains and Strain Rates, and Rapid Heating. Manufacturing Letters, 2022. 33: p. 292-301. https://dx.doi.org/10.1016/j.mfglet.2022.07.036[3] Aluminum_insitu_calibration.docx (included in this dataset)

Tags: advanced-manufacturing, experiments, high-heating-rate, high-strain-rate, machining, mechanical-properties, metals, modeling, simulations
Organization: National Institute of Standards and Technology
Data for "Multi-frequency Antenna Metrology with Sparse Measurements", to be submitted to IEEE Transactions on Antennas and Propagation or IEEE Transactions on Signal Processing.

This dataset contains CSV files for the figures in the paper titled "Multi-frequency Antenna Metrology with Sparse Measurements", to be submitted to IEEE Transactions on Antennas and Propagation or IEEE Transactions on Signal Processing. In this paper, we derive and experiment with approaches to use compressive sensing for multifrequency antenna radiation pattern measurements when samples are taken on a spherical domain. In particular, we develop sparsity and low-rank compressive sensing approaches and compare them for a simulated horn antenna. This work has applications in antenna metrology.

Tags: acoustic-fields-antenna-characterization-compressive-sampling-compressive-sensing-far-field-pat
Organization: National Institute of Standards and Technology
"cookiecutter-nist-python": A template for python packages with NIST specific features.

The  "cookiecutter-nist-python" template includes all NIST specific branding for creating a pythonpackage. Features include:  Testing with pytest. Isolated testing, documentation building, etc, with nox.  Linting with pre-commit.Documentation with Sphinx, MyST, using either the furo or sphinx-book-theme theme.Simple commands to upload package to pypi, or a personal conda channel.  Simple commands to release documentation to nist-pages.Works with both conda and virtualenv based environments. Handle creation of "requirments.txt" and "environment.yaml" files with pyproject2conda.

Tags: python-packaging, python-template, software-development
Organization: National Institute of Standards and Technology
Measuring the permittivity of Fused Silica with planar on-wafer structures up to 325 GHz

Fused silica has become an interesting alternative to silicon for millimeter-wave (mmWave) applications. Unfortunately, there are few reports on the measurement of fused silica’s permittivity above 110 GHz that use electrical rather than optical methods. Given that mmWave applications use electrical circuits, additional electrical data would be useful to industry. To test the feasibility of electrical methods, we applied on-wafer techniques based on coplanar waveguide transmission lines to measure the complex permittivity of fused silica to 325 GHz. Our approach used the multiline thru reflect line algorithm on the scattering parameter measurements of transmission lines. Our method combined these results with dc measurements of the resistivity of the metals, simulations of the coplanar waveguide cross section, and dimensional metrology. The resulting complex permittivity was epsilon_r = 3.87±0.03 and a loss tangent tan_delta < 0.005 from 320 MHz to 325 GHz. To support our conclusions, we performed an uncertainty analysis considering relevant sources of uncertainty. In the broader context, these results show that fused silica is a suitable substrate for mmWave electronics where the loss tangent must be less than 0.005 up to 325 GHz.

Tags: coplanar-waveguide, fused-silica, microwave, mmwave, permittivity, wafer
Organization: National Institute of Standards and Technology
CDC Places Data by ZIP Code

This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates for the PLACES project by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. It represents a first-of-its kind effort to release information uniformly on this large scale.

Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS.

This data only covers the health of adults (people 18 and over) in East Baton Rouge Parish. All estimates lie within a 95% confidence interval.

Tags: behaviors, cdc, health, outcomes, places, prevalence, prevention, unhealthy, zip-code
Organization: City of Baton Rouge
Noise Datasets for Evaluating Deep Generative Models

Synthetic training and test datasets for experiments on deep generative modeling of noise time series.  Consists of data for the following noise types: 1) band-limited thermal noise, i.e., bandpass filtered white Gaussian noise, 2) power law noise, including fractional Gaussian noise (FGN), fractional Brownian motion (FBM), and fractionally differenced white noise (FDWN), 3) generalized shot noise, 4) impulsive noise, including Bernoulli-Gaussian (BG) and symmetric alpha stable (SAS) distributions.  Documentation of simulation methods and experiments with Generative Adversarial Networks (GANs) are given in the paper "Data-Driven Modeling of Noise Time Series with Convolutional Generative Adversarial Networks" and the associated software; see references below.

Tags: band-limited-noise, colored-noise, fractional-brownian-motion, fractional-gaussian-noise, generative-adversarial-network, impulsive-noise, machine-learning, power-law-noise, shot-noise, time-series
Organization: National Institute of Standards and Technology
AM Bench 2022 Vat Photopolymerization Challenge Data: Resin properties, light engine calibration, and calibration print dimensions (AMB2022-07)

This Photopolymer AM-Bench 2022 Challenge is to accurately model the relationship between photopatterned print fidelity and cure depth to exposure time with four resins, which serve to orthogonally probe the relationship between resin reactivity and viscosity. The data sets included here are broken down into three categories and are as follows: (1) resin characterization: Fourier transform infrared spectroscopy and rheometry, (2) light engine characterization: photomask dimensions, beam profilometry and radiometry, and (3) cure depth and profile: laser scanning confocal microscopy.

Tags: additive-manufacturing, afm, cure-depth, ftir, laser-scanning-confocal-microscopy, photopolymer, radiometry, rheology, vat-photopolymerization
Organization: National Institute of Standards and Technology
Dataset for Establishing a Reference Focal Plane Using Machine Learning and Beads for Brightfield Imaging

This dataset consists of sets of images corresponding to the data sets 1-8 described in Table 1 in the manuscript "Establishing a Reference Focal Plane Using Machine Learning and Beads for Brightfield Imaging".Data sets from A2K contain two .zip folders: one with the .tiff images and one with the corresponding .txt file with live and dead cell concentration enumeration. The A2K instrument software collects 4 images per acquisition, and each of those images is passed through the A2K instrument's software algorithm which segments the live (green outline), dead (red outline), and debris (yellow outline) objects.  Segmentation parameters are set by the user.  This creates a total of 8 stored images per acquisition.  When in proper focus and brightness, the V100 beads are segmented in green, appearing as live cells. In cases where the beads do not display the bright spot center (when out of focus or too dim) the software may segment the beads in red, as dead cells.Data sets from the Nikon contain .zip folders of .nd2 image stacks that can be opened with Image J.These image sets were used to develop the AI model to identify reference focal plane as described in the associated manuscript.

Tags: convolutional-neural-network, image-processing, optical-microscopy, reference-focal-plane
Organization: National Institute of Standards and Technology
Dynamic Range by Design in OTA EVM measurements

We present an experimental approach to design an over-the-air (OTA) millimeter-wave system for measuring error vector magnitude (EVM) with associated uncertainties that include correlations and nonlinearities. Our approach uses a variable waveguide attenuator at the output of a modulated-signal source at 44 GHz and provides traceable measurements on a calibrated equivalent-time sampling oscilloscope. The conductor-based EVM measurements and associated uncertainties presented here serve as a baseline for the eventual OTA-based EVM. We also discuss a noise based EVM estimation technique as a simple tool for planning OTA EVM measurements, but without a complete knowledge of measurement uncertainties.

Tags: digitally-modulated-signals, error-vector-magnitude, over-the-air-measurements, uncertainty-analysis, wireless-system
Organization: National Institute of Standards and Technology
AM Bench 2022 Measurement Results Data: 3D Builds In-situ Thermography and Data Processing Scripts (AMB2022-01)

The following data files include in-situ thermographic measurement results, scan strategy, and various additional data associated with laser powder bed fusion (LPBF) 3D builds of nickel-based superalloy IN718 test objects for the 2022 Additive Manufacturing Benchmark (AM-Bench) test series. These data are associated with the AMB2022-01 series of modeling challenges described here: https://www.nist.gov/ambench/amb2022-01-benchmark-measurements-and-challenge-problems. However, these data may also be used in future AM-Bench challenges. These AM builds and thermographic measurements were performed on the NIST Additive Manufacturing Metrology Testbed (AMMT, https://www.nist.gov/el/ammt-temps).Information on the directory structure and file formats are provided in the 2715_README.txt file. Note that this dataset will be periodically updated, and additional data will be added as it is made available. Future publications will also provide more in-depth description of the data in this dataset, as will links to available analysis code and scripts. Refer to the Version number below, and updates described in this Description and the 2715_README.txt file.

Tags: am-bench-ammt-thermography-thermal-imaging-laser-powder-bed-fusion-additive-manufacturing-incon
Organization: National Institute of Standards and Technology
GHRSST Level 4 RAMSSA_9km Australian Regional Foundation Sea Surface Temperature Analysis v1.0 dataset (GDS versions 1 and 2)

A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis, produced daily on an operational basis at the Australian Bureau of Meteorology (BoM) using optimal interpolation (OI) on a regional 1/12 degree grid over the Australian region (20N - 70S, 60E - 170W). This Regional Australian Multi-Sensor SST Analysis (RAMSSA) v1.0 system blends satellite SST observations from passive infrared and passive microwave radiometers, with in situ data from ships, Argo floats, XBTs, CTDs, drifting buoys and moorings from the Global Telecommunications System (GTS). SST observations that have experienced recent surface wind speeds less than 6 m/s during the day or less than 2 m/s during night are rejected from the analysis.  The processing results in daily foundation SST estimates that are largely free of nocturnal cooling and diurnal warming effects.  Sea ice concentrations are supplied by the NOAA/NCEP 12.7 km sea ice analysis.  In the absence of observations, the analysis relaxes to the BoM Global Weekly 1 degree OI SST analysis, which relaxes to the Reynolds and Smith (1994) Monthly 1 degree SST climatology for 1961 - 1990.

Tags: oceanography
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GHRSST Level 4 MW_IR_OI Global Foundation Sea Surface Temperature analysis version 5.0 from REMSS (GDS versions 1 and 2)

A Group for High Resolution Sea Surface Temperature (GHRSST) global Level 4 sea surface temperature analysis produced daily on a 0.09-degree grid at Remote Sensing Systems. This product uses optimal interpolation (OI) from both microwave (MW) sensors including the Global Precipitation Measurement (GPM) Microwave Imager (GMI), the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI), the NASA Advanced Microwave Scanning Radiometer-EOS (AMSRE), the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W1 satellite, and WindSat operates on the Coriolis satellite, and infrared (IR) sensors such as the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua and Terra platform and the Visible Infrared Imaging Radiometer Suite (VIIRS) on board the Suomi-NPP satellite.  The through-cloud capabilities of microwave radiometers provide a valuable picture of global sea surface temperature (SST) while infrared radiometers (i.e., MODIS) have a higher spatial resolution. This analysis does not use any in situ SST data such as drifting buoy SST. Comparing with previous version 4.0 dataset, the version 5.0 has made the updates in several areas, including the diurnal warming model, the sensor-specific error statistics (SSES) for each microwave sensor, the sensor correlation model, and the quality mask.

Tags: oceanography
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
International Quality-controlled Ocean Database (IQuOD) version 0.1 - aggregated and community quality controlled ocean profile data 1772-present

This dataset includes subsurface ocean profiles of temperature, salinity, oxygen, nutrients, ocean tracers, optics, and biology (chlorophyll, plankton) taken from 1772 to 2023 in the global ocean using bottles, CTD, XBT, MBT, profiling floats, moored buoys, ice drifting buoys, gliders, towed profilers, and instrumented pinnipeds. This dataset was prepared at NCEI in CF compliant netCDF ragged array format under the direction of the International Quality-controlled Ocean Database (IQuOD) project. The IQuOD effort is being organized by the oceanographic community, and includes experts in data quality and management, climate modelers and the broader climate-related community. The primary focus of IQuOD is to produce and freely distribute the highest quality and complete single ocean profile repository along with (intelligent) metadata and assigned uncertainties for use in ocean climate research applications. This goal will be achieved by developing and implementing an internationally agreed framework. IQuOD v0.1 is a preliminary dataset which includes uncertainties on each temperature measurement and intelligent metadata for identifying critical missing information.

Tags: oceanography
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GHRSST Level 2P Global Sea Surface Skin Temperature from the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Terra satellite (GDS versions 1 and 2)

NASA produces skin sea surface temperature (SST) products from the Infrared (IR) channels of the Moderate-resolution Imaging Spectroradiometer (MODIS) onboard the Terra satellite. Terra was launched by NASA on December 18, 1999, into a sun synchronous, polar orbit with a daylight descending node at 10:30 am, to study the global dynamics of the Earth atmosphere, land and oceans. The MODIS captures data in 36 spectral bands at a variety of spatial resolutions.  Two SST products can be present in these files. The first is a skin SST produced for both day and night observations, derived from the long wave IR 11 and 12 micron wavelength channels, using a modified nonlinear SST algorithm intended to provide continuity with SST derived from heritage and current NASA sensors. At night, a second SST product is produced using the mid-infrared 3.95 and 4.05 micron channels which are unique to MODIS; the SST derived from these measurements is identified as SST4. The SST4 product has lower uncertainty, but due to sun glint can only be produced at night. MODIS L2P SST data have a 1 km spatial resolution at nadir and are stored in 288 five minute granules per day. Full global coverage is obtained every two days, with coverage poleward of 32.3 degree being complete each day. The production of MODIS L2P SST files is part of the Group for High Resolution Sea Surface Temperature (GHRSST) project, and is a joint collaboration between the NASA Jet Propulsion Laboratory (JPL), the NASA Ocean Biology Processing Group (OBPG), and the Rosenstiel School of Marine and Atmospheric Science (RSMAS). Researchers at RSMAS are responsible for SST algorithm development, error statistics and quality flagging, while the OBPG, as the NASA ground data system, is responsible for the production of daily MODIS ocean products. JPL acquires MODIS ocean granules from the OBPG and reformats them to the GHRSST L2P netCDF specification with complete metadata and ancillary variables, and distributes the data as the official Physical Oceanography Data Archive (PO.DAAC) for SST.  The R2019.0 supersedes the previous R2014.0 datasets.

Tags: oceanography
Organization: National Oceanic and Atmospheric Administration, Department of Commerce