AndreaBozzo/ceres-open-data-index huggingface dataset:
SRM 3252 Protein Drink Mix

SRM 3252 Protein Drink Mix - This Standard Reference Material (SRM) is intended primarily for validation of methods for determining proximates, fatty acids, cholesterol, vitamins, elements, and amino acids in protein drink mixes and similar materials. This SRM can also be used for quality assurance when assigning values to in-house reference materials. This data is public in the Certificate of Analysis for this material.

Tags: certified-values, dietary-supplements, food, food-and-nutrition, nutrition, protein-drink-mix, reference-values, srm, srm-3252, standard-reference-material
Organization: National Institute of Standards and Technology
SRM 3264 St. John's Wort (Hypericum perforatum L.) Methanol Extract

SRM 3264 St. John's Wort (Hypericum perforatum L.) Methanol Extract - This Standard Reference Material (SRM) is intended primarily for use in validating analytical methods for the determination of chlorogenic acid, flavonoids, naphthodianthrones, and toxic elements in methanol extracts of Hypericum perforatum L. and similar materials. This data is public in the Certificate of Analysis for this material.

Tags: certified-value, dietary-supplements, food-and-nutrition, nutrition, reference-value, srm, srm-3264, st-johns-wort, standard-reference-materials
Organization: National Institute of Standards and Technology
SRM 693 Iron Ore (Nimba)

SRM 693 Iron Ore (Nimba) - Standard Reference Material 693 Iron Ore (Nimba) is material in the form of powder (<0.1 mm) for use in checking chemical methods of analysis and in calibration with instrumental methods of analysis.  This data is public in the Certificate of Analysis for this material.

Tags: elemental-analysis, iron-ore, manufacturing
Organization: National Institute of Standards and Technology
SRM 3281 Cranberry (Fruit)

SRM 3281 Cranberry (Fruit) - This Standard Reference Material (SRM) is intended primarily for use in validating analytical methods for the determination of organic acids in the fruit of cranberries and similar matrices. This SRM can also be used for quality assurance when assigning values to in-house control materials. This data is public in the Certificate of Analysis for this material.

Tags: anthocyanin, certified-value, cranberry, dietary-supplement, food, food-and-nutrition, nutrition, reference-value, srm, srm-3281, standard-reference-materials
Organization: National Institute of Standards and Technology
SRM 3262 St. John's Wort (Hypericum perforatum L.) Aerial Parts

SRM 3262 St. John's Wort (Hypericum perforatum L.) Aerial Parts - This Standard Reference Material (SRM) is intended primarily for use in validating analytical methods for the determination of chlorogenic acid, flavonoids, naphthodianthrones, and toxic elements in Hypericum perforatum L. and similar materials. This data is public in the Certificate of Analysis for this material.

Tags: certified-value, dietary-supplements, food-and-nutrition, nutrition, reference-value, srm, srm-3262, st-johns-wort, standard-reference-materials
Organization: National Institute of Standards and Technology
Spin Excitations in Co3V2O8. Raw data files from neutron spectroscopy experiments using the DCS spectrometer at the NCNR to probe the spin fluctuation spectrum of Co3V2O8.

A series of neutron spectroscopy measurements were performed on two single crystal samples of Co3V2O8 using the Disk Chopper Spectrometer (DCS) time-of-flight neutron spectrometer at the NIST Center for Neutron Research. In the low-temperature ferromagnetic phase spin waves are observed throughout the Brillouin zone. Modelling the spin wave dispersion reveals significant magnetic interaction between buckled kagome planes, contrary to prior work which treated the compound as quasi-two-dimensional. Further, the spin wave branches show evidence of a surprisingly large Dzyaloshinskii-Moriya interaction. At T=9.2 K the sample is antiferromagnetically aligned and well-defined spin waves are not observed.  Rather, most of the spectral weight is observed in broad diffuse scattering centered at the (0 0.5 0) antiferromagnetic Bragg peak.

The raw data files and parameter files from these experiments are provided here. The data can be analyzed using the DCS Reduction (Mslice) capabilities of the DAVE software package available at https://www.ncnr.nist.gov/dave/.

Tags: co3v2o8, dzyaloshinskii-moriya-interaction, frustrated-magnetism, kagome-staircase-lattice, neutron-spectroscopy-data, spin-waves
Organization: National Institute of Standards and Technology
Characterizing LTE User Equipment Emissions: Factor Screening Data

This data is provided as a supplement to NASCTN Report 7 (NIST Technical Note 2069), Characterizing LTE User Equipment Emissions: Factor Screening.  In particular, the data provided here is sufficient to reproduce all of the plots and analyses in Chapters 6 and 7, which present the data analysis results.  See the data description document provided in the zip file for an outline of the contents and the technical note referenced above for details on the data collection.

Tags: factor-screening, long-term-evolution-lte, wireless-communications
Organization: National Institute of Standards and Technology
A Study of Timing Constraints and SAS Overload of SAS-CBSD Protocol in the CBRS Band

This research work studied the effect of timing constraint and overloading of Spectrum Access System (SAS) on the SAS-CBSD protocol. Specifically, it studies how Heartbeat and Grant Request fail as number of CBSDs served by a SAS becomes large for a given service rate. It also looks at the time taken by CBSDs to vacate a channel (on which an incumbent has appeared) at different Heartbeat Interval. These study results are captured in the following files.

(1) Number of CBSD vs number of Heartbeat timeout when SAS service rate is 40 requests/sec
(2) Number of CBSD vs number of Heartbeat timeout when SAS service rate is 60 requests/sec
(3) Number of CBSD vs number of failed grants when SAS service rate is 40 requests/sec
(4) Number of CBSD vs number of failed grants when SAS service rate is 60 requests/sec
(5) CDF of duration of CBSDs vacating a channel when number of CBSD=700, mean heartbeat interval = 90 s
(6) CDF of duration of CBSDs vacating a channel when number of CBSD=1200, mean heartbeat interval = 150 s
(7) CDF of duration of CBSDs vacating a channel when number of CBSD=1500, mean heartbeat interval = 220 s

Tags: 3-5-ghz-cbrs-sas-cbsd-protocol, heartbeat-interval
Organization: National Institute of Standards and Technology
The NBS Tables of Chemical Thermodynamic Properties: Selected Values for Inorganic and C1 and C2 Organic Substances in SI Units

Recommended values are provided for chemical thermodynamic properties of inorganic substances and for organic substances usually containing only one or two carbon atoms.  Where available, values are given for the enthalpy of formation, Gibbs energy of formation, entropy, and heat capacity at 298.15 K (25 degrees C), the enthalpy difference between 298.15 and 0 K and the enthalpy of formation at 0 K.  All values are given in SI units and are for a standard state pressure of 100 000 pascal.  This volume is a new collective edition of "Selected Values of Chemical Thermodynamic Properties," which was issued serially as National Bureau of Standards Technical Notes 270-1 (1965) to 270-8 (1981).  Values are given for properties of gaseous, liquid and crystalline substances, for solutions in water, and for mixed aqueous and organic solutions.  Values are not given for alloys or other solid solutions, fused salts or for substances of undefined composition.  Compounds of the transuranium elements are not included.

Tags: chemical-thermodynamics, enthalpy, entropy, evaluated-data, gibbs-energy, inorganic-chemistry, nbs-tables, thermochemistry
Organization: National Institute of Standards and Technology
Source code for labbench 0.20 release

This is the source code package for the labbench python module, version 0.20, which is its first public release.  The purpose of labbench is to streamline and organize complicated laboratory automation tasks that involve large-scale benchtop automation, concurrency, and/or data management. It is built around a system of wrappers that facilitate robust, concise exception handling, type checking, API conventions, and synchronized device connection through python context blocks. The wrappers also provide convenient new functionality, such as support for automated status displays in jupyter notebooks, simplified threaded concurrency, and automated, type-safe logging to relational databases.Together, these features help to minimize the amount of "copy-and-paste" code that can make your lab automation scripts error-prone and difficult to maintain.The python code that results can be clear, concise, reusable and maintainable, and provide consistent formatting for stored data. The result helps researchers to meet NIST's open data obligations, even for complicated, large, and heterogeneous datasets.Several past and ongoing projects in the NIST Communication Technology Laboratory (CTL) published data that were acquired by automation in labbench. We release it here both for transparency and to invite public use and feedback. Ongoing updates to this source code will be maintained on the NIST github page at https://github.com/usnistgov/labbench.The code was developed in python, documented with the python sphinx package and markdown, and shared through the USNISTGOV organization on GitHub.INSTALLATIONlabbench can run on any computer that supports python 3.6. The hardware requirements are discussed here:    https://docs.anaconda.com/anaconda/install/#requirements1. Install your favorite distribution of a python version 3.6 or greater2. In a command prompt, pip install git+https://gitlab.nist.gov/gitlab/ssm/labbench3. (Optional) install an NI VISA [1] runtime, for example this one for windows.USAGEThe source distribution contains detailed information including* README.md - documentation to get started using labbench* LICENSE.md - license and redistribution information* doc/labbench-api.pdf - complete listing of the module and documentation

Tags: laboratory-automation
Organization: National Institute of Standards and Technology
multicomplex: C++ and Python code for multicomplex arithmetic

The library multicomplex is an implementation of multicomplex algebra in C++ to allow for higher-order derivatives of numerical functions.  Many (though not all) mathematical functions are implemented, allowing for calculation of derivatives (straight and mixed) to approximately numerical precision, which is difficult or impossible to achieve in conventional double precision

Tags: c_, derivatives, mathematics, multicomplex, python
Organization: National Institute of Standards and Technology
Residential Heat Pump Fault Detection and Diagnosis Research Data

Work by Purdue and NIST has shown that different system types behave differently when exposed to the same type of fault at the same intensity; therefore, a better understanding of fault effects on the performance of different systems is needed.  The data referenced here contains measurements of the fault-free and fault performance of two different heat pumps; a 14 SEER heat pump and a 16 SEER  air-conditioner.  The data represents the cooling mode performance of the two systems with and without various faults imposed while operating at steady-state over a wide range of indoor and outdoor air temperatures and humidities.  


Tags: air-conditioner-data, cooling-mode-data, fault-detection-and-diagnosis-data, heat-pump-data
Organization: National Institute of Standards and Technology
Blind Measurements of Receiver System Noise

This is a collection of data sets acquired for measurements of noise figure and receive system noise of wireless/radio frequency receivers and transceivers. These data include tabular data that list1) Inputs: calibrated input signal and excess noise levels, and2) Outputs: summary statistics for each type of user data collected for each DUT.The experiments that produced these data were meant to be used to assess noise measurands, but the data are generic and could be applied to other problems if desired.The structure of each zip archive dataset is as follows:| Root|-- (Anonymized DUT name 1)|---- Data file 1|---- Data file 2|---- ...Data file N|---- DUT-README.txt|-- (Anonymized DUT name 2)|---- Data file 1|---- Data file 2|---- ...Data file N|---- DUT-README.txt| (etc.)Data tables in each archive are provided as comma-separated values (.csv), and the descriptive text files are ASCII (.txt). Detailed discussion of the test conditions and data formatting is given by the DUT-README.txt for each DUT.

Tags: electromagnetics, noise, rf-systems, wireless-spectrum
Organization: National Institute of Standards and Technology
ml_uncertainty: A Python module for estimating uncertainty in predictions of machine learning models

This software is a Python module for estimating uncertainty in predictions of machine learning models. It is a Python package that calculates uncertainties in machine learning models using bootstrapping and residual bootstrapping. It is intended to interface with scikit-learn but any Python package that uses a similar interface should work.

Tags: machine-learning, model-calibration, uncertainty-analysis
Organization: National Institute of Standards and Technology
Evaluating Uncertainty of Microwave Calibration Models from Regression Residuals

The data used to generate the graphs in figures 1-9 of the paper "Evaluating Uncertainty of Microwave Calibrations from Regression Residuals".The full citation is D. F. Williams, B. F. Jamroz, J. D. Rezac and R. D. Jones, "Evaluating Uncertainty of Microwave Calibration Models With Regression Residuals," in IEEE Transactions on Microwave Theory and Techniques, vol. 68, no. 6, pp. 2454-2467, June 2020, doi: 10.1109/TMTT.2020.2983358.The files are named as follows: 1. CI_figX.plt - Contains EasyPlot V 4.0.4 file used to create the plot, columns used in each file, legend, etc. 2. FigX_FY_name - Contains TAB-delimited data file Y used to construct figure X with original file name "name".  First two lines repeats key information found in EasyPlot file.  First line specifies columns used in EasyPlot column-selection format.  Second line contains original location.EasyPlot column-selection format is as follows: "xyiiyy"  or "xy..yy"  means that column 1 was used for x axis, column 2 for first curve y values, column 5 for second curve y values, column 6 for third curve y values

Tags: confidence-intervals, coupling-corrections, on-wafer-measurement, prediction-intervals
Organization: National Institute of Standards and Technology
NIST nanocalorimeter calibration virtual instruments

These software are used to control an instrument that makes measurements and calculates calibration coefficients for NIST nanocalorimeters. Please cite the related paper "Practical Guide to the Design, Fabrication and Calibration of NIST Nanocalorimeters" by  Feng Yi, Michael D. Grapes, and David A. LaVan in the Journal of Research of the National Institute of Standards and Technology,  Volume 124 (in press).


Tags: calibration, nanocalorimeter, nanocalorimetry, software, virtual-instrument
Organization: National Institute of Standards and Technology
RF Dataset of Incumbent Radar Systems in the 3.5 GHz CBRS Band

The RF dataset can be used to develop and test detection algorithms for the 3.5 GHz CBRS or similar bands where the primary users of the band are federal incumbent radar systems. The dataset consists of synthetically generated radar waveforms with added white Gaussian noise. The RF dataset is suitable for development and testing of machine/deep learning detection algorithms. A large number of parameters of the waveforms are randomized across the dataset. Due to its large size, the dataset is divided into groups, and each group consists of multiple files. For more information about the dataset, refer to: R. Caromi, M. Souryal, and T. Hall "RF Dataset of Incumbent Radar Signals in the 3.5 GHz CBRS Band," J Res Natl Inst Stan 124:124038, 2019. available online at: https://doi.org/10.6028/jres.124.038. In addition, the metadata of the dataset is summarized in "Data Dictionary of 3.5 GHz Radar Waveforms" [pdf] accompanying the data. For more information about the motivation behind this RF dataset, refer to:  T. Hall, R. Caromi, M. Souryal, and A. Wunderlich, "Reference Datasets for Training and Evaluating RF Signal Detection and Classification Models," in Proc. IEEE GLOBECOM Workshop on Advancements in Spectrum Sharing, Dec. 2019, available online at: https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=928336.

Tags: 3-5-ghz-cbrs-incumbent-radar-detection-rf-dataset-classification-deep-learning-machine-learning
Organization: National Institute of Standards and Technology
A Benchmark for 3D Interest Point Detection Algorithms

This benchmark aims to provide tools to evaluate 3D Interest Point Detection Algorithms with respect to human generated ground truth.

Using a web-based subjective experiment, human subjects marked 3D interest points on a set of 3D models. The models were organized in two datasets: Dataset A and Dataset B. Dataset A consists of 24 models which were hand-marked by 23 human subjects. Dataset B is larger with 43 models, and it contains all the models in Dataset B. The number of human subjects who marked all the models in this larger set is 16.

Some of the models are standard models that are widely used in 3D shape research; and they have been used as test objects by researchers working on the best view problem.

We have compared five 3D Interest Point Detection algorithms. The interest points detected on the 3D models of the dataset can be downloaded from the link below. Please refer to README for details in the download.

Mesh saliency [Lee et al. 2005] : Interest points by mesh saliency 

Salient points [Castellani et al. 2008] : Interest points by salient points 

3D-Harris [Sipiran and Bustos, 2010] : Interest points by 3D-Harris 

3D-SIFT [Godil and Wagan, 2011] : Interest points by 3D-SIFT   (Please note that some models in the dataset are not watertight, hence their volumetric representations could not be generated. Therefore, 3D-SIFT algorithm wasn't able to detect interest points for those models.)

Scale-dependent corners [Novatnack and Nishino, 2007] : Interest points by SD corners 

HKS-based interest points [Sun et al. 2009] : Interest points by HKS method 

Please Cite the Paper:

Helin Dutagaci, Chun Pan Cheung, Afzal Godil, ?Evaluation of 3D interest point detection techniques via human-generated ground truth?, The Visual Computer, 2012. 

References:

[Lee et al. 2005] Lee, C.H., Varshney, A., Jacobs, D.W.: Mesh saliency. In: ACM SIGGRAPH 2005, pp. 659?666 (2005)

[Castellani et al. 2008] Castellani, U., Cristani, M., Fantoni, S., Murino, V.: Sparse points matching by combining 3D mesh saliency with statistical descriptors. Comput. Graph. Forum 27(2), 643?652 (2008)

[Sipiran and Bustos, 2010] Sipiran, I., Bustos, B.: A robust 3D interest points detector based on Harris operator. In: Eurographics 2010 Workshop on 3D Object Retrieval (3DOR?10), pp. 7?14 (2010)

[Godil and Wagan, 2011] Godil, A., Wagan, A.I.: Salient local 3D features for 3D shape retrieval. In: 3D Image Processing (3DIP) and Applications II, SPIE (2011)

[Novatnack and Nishino, 2007] Novatnack, J., Nishino, K.: Scale-dependent 3D geometric features. In: ICCV, pp. 1?8, (2007)

[Sun et al. 2009] Sun, J., Ovsjanikov, M., Guibas, L.: A concise and provably informative multi-scale signature based on heat diffusion. In: Eurographics Symposium on Geometry Processing (SGP), pp. 1383?1392 (2009)

Tags: 3d-interest-points, 3d-shape-analysis, d-salient-points, evaluation-of-3d-interest-point
Organization: National Institute of Standards and Technology
3D solid model of NIST Nanocalorimeter

3D Solid Model of NIST Nanocalorimeter created in Solidworks 2019.  The files include an assembly of three layers represented as part files - the silicon die layer, the silicon nitride membrane layer and the platinum metal layer. Please cite the related paper "Practical Guide to the Design, Fabrication and Calibration of NIST Nanocalorimeters" by  Feng Yi, Michael D. Grapes, and David A. LaVan in the Journal of Research of the National Institute of Standards and Technology,  Volume 124 (in press).


Tags: drawing, nanocalorimeter, nanocalorimetry, nist, solid-model
Organization: National Institute of Standards and Technology
NIST Nanocalorimeter DWG and DXF drawings for microfabrication mask generation

Four files are included in this data set for mask generation that can be used to produce photolithography contact masks to create NIST nanocalorimeters.  Two different designs are included, each in AutoCAD *.dwg format and a universal *.dxf format.  The masks are intended to be printed on 5 inch masks blanks used to pattern 100 mm (4 inch) wafers.  The front drawings are used to pattern the metal layer that defines the contact pads and the combined heater / thermometer and includes alignment marks at the center of the mask and at approximately plus and minus 1 inch along the X-axis for front to back alignment.  The rear drawings have already been mirrored and define the KOH etch windows used to create individual die and create the windows in the center of the nanocalorimeter.  The dimensions of the windows was defined for a standard, nominal, 525 micron thick 100-mm wafer.
Please cite the related paper "Guide to the Design, Fabrication and Calibration of NIST Nanocalorimeters" by  Feng Yi, Michael D. Grapes, and David A. LaVan in the Journal of Research of the National Institute of Standards and Technology,  Volume 124 (in press).

Tags: mask, microfabrication, nanocalorimeter, nanocalorimetry, nist, photolithography
Organization: National Institute of Standards and Technology
In Situ Thermography During Laser Powder Bed Fusion of a Nickel Superalloy 625 Artifact with Various Overhangs and Supports

This document provides details on the experiment and associated measurement files available for download in the dataset ?In Situ Thermography During Laser Powder Bed Fusion of a Nickel Superalloy 625 Artifact with Various Overhangs and Supports.? The measurements were acquired during the fabrication of a small nickel superalloy 625 (IN625) artifact using a commercial laser powder bed fusion (LPBF) system. The artifact consists of two half-arch features with increasing degrees of overhangs, from 5° to 85°, in increments of 10°. The artifact geometry and process are controlled to ensure consistent processing along the overhang geometry, thus enabling the effect due to overhang geometry and support structures to be isolated from effects due to inter-layer scan-strategy variations that are typical in commercial LPBF processes. The measurements include high-speed thermography of each layer, from which radiant temperature, cooling rate, and melt pool length are calculated. The objective of this experiment and data dissemination is twofold. First, to provide data for the modeling community for model validation to ensure that their models are accurately accounting for the effect of overhang geometries and support structures in thermal models. The second objective is to provide fundamental insight into these effects for researchers and process designers.

Tags: 3d-build-additive-manufacturing-in625-nickel-super-alloy-625-powder-bed-fusion-temperature-meas
Organization: National Institute of Standards and Technology