AndreaBozzo/ceres-open-data-index huggingface dataset:
2-Ethylbiphenyl: Experimental and Derived Thermodynamic Properties

This document is part of a series of reports describing experimental property measurements completed at the National Institute for Petroleum and Energy Research (NIPER) in Bartlesville, Oklahoma, in the 1980s and 1990s. Members of the Bartlesville Thermodynamics Group included William D. "Bill" Good, William V. "Bill" Steele, Bruce E. Gammon, Norris K. Smith, Stephen E. Knipmeyer, An "Andy" Nguyen, Timothy D. Klots, I. A. "Alex" Hossenlopp, Aaron P. Rau, William B. Collier, John F. Messerly, Ann G. Osborn, Susan Lee-Bechtold, Donald G. Archer, Ian R. Tasker, Allan B. Cowell, Michael M. Strube, and the author of this report. A summary of the measurements reported here is given in Table 1. Preliminary results for some measurements were reported in Topical Report NIPER-247  for the U.S. Department of Energy.

Tags: density, enthalpy-of-formation, heat-capacity, thermodynamic-functions, vapor-pressure
Organization: National Institute of Standards and Technology
Data associated with manuscript "Linearizing the vertical scale of an interferometric microscope and its effect on step-height measurement"

This repository contains all of the data used in the manuscript "Linearizing the vertical scale of an interferometric microscope and its effect on step-height measurement," by Thomas A. Germer, T. Brian Renegar, Ulf Griesmann, and Johannes A. Soons, which has been published in Surface Topography: Metrology and Properties volume 12, number 2, article 025012 on 8 May 2024. The repository also contains a Python Jupyter notebook that performs the analysis of the data and generates the figures in the manuscript.

Tags: coherent, interferometry, microscopy, scanning
Organization: National Institute of Standards and Technology
Hardware-in-the-loop Laboratory Performance Verification of Flexible Building Equipment in a Typical Commercial Building: Performance of Heating, Ventilation, and Air Conditioning and Thermal Energy Storage Across the United States

This high-fidelity dataset measures the holistic load flexibility performance of a suite of commonly used commercial building heating, ventilating, and air-conditioning (HVAC) and thermal storage equipment, under a variety of testing conditions. It was generated as a part DOE award number DE-EE0009153: Hardware-in-the-loop Laboratory Performance Verification of Flexible Building Equipment in a Typical Commercial Building.

Tags: air-conditioning, commercial-building, flexible-building-equipment, heating, holistic-load-flexibility-performance, hvac, thermal-storage-equipment, ventilating
Organization: National Institute of Standards and Technology
A high-resolution sectoral inventory for use in inverse modelling of New York City methane emissions

These files represent four different versions of a high resolution (0.02° x 0.02°) methane emissions inventory covering the New York-Newark urban area and its surroundings. Each specific inventory version has an associated README.docx file that provides details on the methodology used to compile that inventory version. Each inventory version is provided in 10 separate files, with each file containing emissions from a specific sector. Total methane emissions for a given inventory version can be calculated by adding the emissions from these 10 files together

Tags: emissions, ghg, high-resolution, methane, natural-gas, new-york, ng
Organization: National Institute of Standards and Technology
Sim-PROCESD: Simulated-Production Resource for Operations and Conditions Evaluation to Support Decision-making

Sim-PROCESD is a discrete event simulation package written in Python that is designed to model the behavior of discrete manufacturing systems. Specifically, it focuses on asynchronous production lines. It also provides functionality for modeling the degradation and maintenance of machines in these systems. Sim-PROCESD provides class definitions for manufacturing devices/components that can be configured by the user to model various real-world manufacturing systems. The classes are designed to be extensible so the user can change their behavior to model more complex processes.In addition to modeling the behavior of existing systems, Sim-PROCESD is intended for use with simulation-based optimization and planning applications. For instance, users may be interested in evaluating alternative maintenance policies for a particular system. Estimating the expected system performance under each candidate policy will require a large number of simulation replications when the system is subject to a high degree of stochasticity. Sim-PROCESD therefore provides tools to make simulation replication easy.

Tags: discrete-event-simulation, maintenance, manufacturing, production, python
Organization: National Institute of Standards and Technology
Expansivity of fused quartz glass measured within 6 x 10^-10 /K

Supplemental material to the article "Expansivity of fused quartz glass measured within 6 x 10^-10 /K" by P F Egan in International Journal of Thermophysics 2024.  The dataset and proceeding were first presented at the NCSLI Workshop & Symposium 2022 in Grapevine TX.Three datasets are included, corresponding to three separate runs (cycles of expansivity measurement).Run 1:  cycled specimen FP_333 and FP_152 side-by-sideRun 2:  FP_152 was potted with slip-fit tubes at its ends, and the run cycled specimen FP_333 and FP_152Potted side-by-sideRun 3:  cycled specimen FP_333 and FP_154 side-by-sideThe Python file produces Fig. 2 from the article, and includes some literature/historical data on the thermal expansion of fused quartz glass

Tags: fused-quartz-glass, reference-material, thermal-expansion-coefficient
Organization: National Institute of Standards and Technology
Toolkit and Curated Archive for COVID-19 Research Challenge Dataset

This GitHub repository contains a downloadable snapshot of National Institute of Standards and Technology's COVID-19 Data Repository, curated from the COVID-19 Open Research Dataset (CORD-19) provided by the Allen Institute for AI. Curated Archive for Covid-19 Research Challenge Dataset- The COVID-19 Data Repository provides searchable CORD-19 data and metadata, including full-text extracted from the original CORD-19 JavaScript Object Notation (JSON) files. It is built using the Configurable Data Curation System (CDCS) developed at NIST.

Tags: covid19, embedding, natural-language-processing, nlp, virus
Organization: National Institute of Standards and Technology
Data for: ?Measurements of nonlinear polarization dynamicsin the tens of gigahertz?

Included here are figures and other relevant data from the paper "Measurements of nonlinear polarization dynamics in the tens of GHz" to be published in Physical Review Applied.Abstract: Frequency-dependent linear permittivity measurements are commonplace in the literature, providing key insights into the structure of dielectric materials. These measurements describe a material's dynamic response to a small applied electric field. In contrast, nonlinear dielectric materials are widely used for their responses to large applied fields, including switching in ferroelectric materials, and field-tuning of the permittivity in paraelectric materials. These behaviors are described by nonlinear permittivity. Nonlinear permittivity measurements are fraught with technical challenges because of the complex electrical coupling between a sample and its environment. Here, we describe a technique for measuring the complex nonlinear permittivity that circumvents many of the difficulties associated with other approaches. We validate this technique by measuring a the nonlinear permittivity of a tunable Ba0.5Sr0.5TiO thin film up to 40 GHz and comparing our results with a phenomenological model. These measurements provide insight into the dynamics of nonlinear dielectric materials down to picosecond timescales.

Tags: loss, microwave-materials, nonlinear-measurements, permittivity, tunability
Organization: National Institute of Standards and Technology
SRM 2197, Lot LL-198 Low-Energy Charpy V-Notch Specimens (Self-Verification, 2 mm Striker)

NIST self-verification Charpy specimens, such as from lot LL-198 here considered, are used by companies around the world to perform an indirect verification of a Charpy impact machine in accordance with with ASTM E23 and ISO 148-2. Customers test between 5 and 7 samples and compare their average value with the reference absorbed energy from the NIST certification tests, provided in a certificate. If within the specified limits (which depend on the reference test standard), their verification can be considered successful.

Tags: charpy, hardness, impact
Organization: National Institute of Standards and Technology
Nestor: a toolkit for quantifying tacit maintenance knowledge, for investigatory analysis in smart manufacturing

There is often a large amount of maintenance data already available for use in Smart Manufacturing systems, but in a currently-unusable form: service tickets and maintenance work orders (MWOs). Nestor is a toolkit for using Natural Language Processing (NLP) with efficient user-interaction to perform structured data extraction with minimal annotation time-cost.

Tags: cmms, communication, data-cleaning, decision-guidance, diagnostics, event-sequences, information, investigations, machine-learning, maintenance, manufacturing-operations, manufacturing-performance, nestor, prognostics, scheduling, smart-manufacturing, training, tribal-knowledge, visualization
Organization: National Institute of Standards and Technology
NIST Atomic Reference Data for Electronic Structure Calculations - SRD 141

Atomic Reference Data for Electronic Structure Calculations contains total energies, partial energies and orbital eigenvalues for the atoms hydrogen through uranium, as computed in several standard variants of density-functional theory, both non-relativistic and relativistic. This data has been calculated to micro-Hartree accuracy to provide a benchmark for electronic structure calculations.

Tags: atomic-structures, atoms, chemicals, clusters, computational-physics, condensed-matters, coulombs, density-functional, differentials, dirac, eigen-value, electronic-structures, electronics, gases, local-densities, molecule, orbitals, periodic-tables, physical, relativistics, solid-states, theoretical-physics
Organization: National Institute of Standards and Technology
The Foundational Industry Energy Dataset: Unit-level Characterization and Derived Energy Estimates for Industrial Facilities in 2017

The Foundational Industry Energy Dataset (FIED) addresses several of the areas of growing disconnect between the demands of industrial energy analysis and the state of industrial energy data by providing unit-level characterization by facility. Each facility is identified by a unique registryID, based on the U.S. Environmental Protection Agency (EPA) Facility Registry Service, and includes its coordinates and other geographic identifiers. Energy-using units are characterized by design capacity, as well as their estimated energy use, greenhouse gas emissions, and physical throughput using 2017 data from the EPA's National Emissions Inventory and Greenhouse Gas Reporting Program. 

An overview of the derivation methods is provided in a separate technical report which will be linked after publication. The Python code used to compile the dataset is available in a GitHub repository. An updated 2020 version is under development. 

Tags: boilers, capacity, code, combustion-units, data, dataset, energy, energy-analysis, energy-estimate, energy-use, facility, fied, furnaces, greenhouse-gas, greenhouse-gas-emissions, industrial-energy, industry, ovens, process-heat, processed-data, python, throughput, unit-level
Organization: Department of Energy
2004-2017 Geospatial Dataset of Wild and Prescribed Fire Activity Over the Conterminous United States

Wildland fire event polygons for 2004-2017 reconciled in SmartFire 2 for the EPA Air Quality Times Series (EQUATES) modeling project (https://doi.org/10.1016/j.dib.2023.109022). These event polygons represent a combination of properties from a collection of remotely sensed and ground-based fire activity datasets.

The primary underlying fire activity datasets for the fire event polygons are the Hazard Mapping System (HMS) remote sense fire product (https://www.ospo.noaa.gov/Products/land/hms.html), SIT-ICS/209 Incident Reports (https://www.wildfire.gov/application/sit209), GeoMAC Fire Event polygons (https://data-nifc.opendata.arcgis.com/datasets/nifc::historic-perimeters-combined-2000-2018-geomac/about), and the Monitoring Trends in Burn Severity (MTBS) burn scar event perimeters (https://www.mtbs.gov/direct-download).

This dataset includes events identified as over wildland and does not contain biomass burning events over agricultural areas, such as crop residue field burns. Additionally, certain grass fires, such as the annual prescribed fires in the Flint Hills region, have been removed for inclusion in a separate processing stream.

Some minor updates have been made to the dataset since the publishing of the EQUATES emission inventories including removal of known errors related to issues in the underlying activity. 

This dataset is associated with the following publication:
Beidler, J., G. Pouliot, and K. Foley. 2004-2017 Geospatial Dataset of Wild and Prescribed Fire Activity Over the Conterminous United States.   Data in Brief. Elsevier B.V., Amsterdam,  NETHERLANDS, 56: 110856, (2024).

Tags: air-quality, land-management, prescribed-fires, wildland-fire
Organization: U.S. Environmental Protection Agency
ALPACA-overview-paper-metadata

This is metadata for the figures from an overview paper for the ALPACA Fairbanks winter air quality study. The paper includes only (non-EPA funded/generated) data to support some early analysis and drivers of the field study, but it is expected that the bulk of the data from the study will be analyzed and published by individual PIs in the (near) future. Note that final data from the study will be available to the scientific community through the ALPACA data portal hosted by Arcticdata.io (https://arcticdata.io/catalog/portals/ALPACA). This dataset is not publicly accessible because: The ALPACA overview paper includes (non-EPA funded/generated) data to support some early analysis and drivers of the field study, but it is expected that the bulk of the data from the study will be analyzed and published by individual PIs in the (near) future. It can be accessed through the following means: Final data from the field study will be available to the scientific community through the ALPACA data portal hosted by Arcticdata.io (https://arcticdata.io/catalog/portals/ALPACA). Format: Here we include metadata for overview paper figures (including data definitions and units). 

This dataset is associated with the following publication:
Simpson, W., J. Mao, G. Fochesatto, K. Law, P. DeCarlo, J. Schmale, K. Pratt, S. Arnold, J. Stutz, J. Dibb, J. Creamean, R. Weber, B. Williams, B. Alexander, L. Hu, R. Yokelson, M. Shiraiwa, S. Decesari, C. Anastasio, B. D'Anna, R. Gilliam, A. Nenes, J. St. Clair, B. Trost, J. Flynn, J. Savarino, L. Conner, N. Kettle, K. Heeringa, S. Albertin, A. Baccarini, B. Barret, M. Battaglia, S. Bekki, T. Brado, N. Brett, D. Brus, J. Campbell, M. Cesler-Maloney, S. Cooperdock, K. Cysneiros de Carvalho, H. Delbarre, P. DeMott, C. Dennehy, E. Dieudonné, K. Dingilian, A. Donateo, K. Doulgeris, K. Edwards, K. Fahey, T. Fang, F. Guo, L. Heinlein, A. Holen, D. Huff, A. Ijaz, S. Johnson, S. Kapur, D. Ketcherside, E. Levin, E. Lill, A. Moon, T. Onishi, G. Pappaccogli, R. Perkins, R. Pohorsky, J. Raut, F. Ravetta, T. Roberts, E. Robinson, F. Scoto, V. Selimovic, M. Sunday, B. Temime-Roussel, X. Tian, J. Wu, and Y. Yang. OVERVIEW OF THE ALASKAN LAYERED POLLUTION AND CHEMICAL ANALYSIS (ALPACA) FIELD EXPERIMENT.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 1(3): 200-222, (2024).

Tags: aerosol-particles, air-pollution, alaska, arctic, atmospheric-chemistry, climate-change, cold-climate, nitrogen-and-co-pollutants
Organization: U.S. Environmental Protection Agency
Dataset for Characterizing spatial information loss for wastewater-based surveillance using crAssphage: effect of decay, temperature, and population mobility

Two .xlsx files "crAssphage_main_v1.xlsx" and "ShedData_v1.xlsx".  Each contains metadata defining the fields in a separate tabs.  crAssphage_main_v1 contains data pertaining to the responses and the Find, Inform, and Test (FIT) framework.  ShedDate_v1 contains data pertaining to the census block groups which feeds into the model. 

This dataset is associated with the following publication:
Wiesner-Friedman, C., N. Brinkman, E. Wheaton, M. Nagarkar, C. Hart, S. Keely, E. Varughese, J. Garland, P. Klaver, C. Turner, J. Barton, M. Serre, and M. Jahne. Characterizing Spatial Information Loss for Wastewater Surveillance Using crAssphage: Effect of Decay, Temperature, and Population Mobility.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 57(49): 20453-20974, (2023).

Tags: crassphage, land-use-regression, microbial-source-tracking, swmm, wastewater
Organization: U.S. Environmental Protection Agency
Code for SerialTrack-XR particle tracking

This repository contains scripts for running a custom implementation of "SerialTrack" designed for 2D X-ray projection images taken during in situ micro-X-ray computed tomography (XCT) experiments. The particle tracking-based technique allows for surface displacement and strain fields to be measured during, for example, mini-tensile test motions. This provides quantitative visualization of non-uniformities in the strain field (i.e., necking, shear banding), direct measurement of applied strain to supplement crosshead-based data, and quantification of system drift, among other uses. The code is written in Matlab and developed under Releases 2021b - 2023b under Windows 10. In total the dataset consists of about 250 MB and 79 files.

Tags: particle-tracking, surface-strain-measurement, x-ray-micro-computed-tomography
Organization: National Institute of Standards and Technology
Dataset for "Water reuse treatment requirements based on infection vs. health burden can diverge for enteric pathogens with dose-dependent probability of illness given infection"

Dataset for "Water reuse treatment requirements based on infection vs. health burden can diverge for enteric pathogens with dose-dependent probability of illness given infection".  Includes fit-for-purpose pathogen log-reduction targets (LRTs) for onsite non-potable use of different source waters based on selected dose-response and health benchmark assumptions. 

This dataset is associated with the following publication:
Schoen, M., J. Garland, J. Soller, S. Thimons, and M. Jahne. Onsite Nonpotable Water Systems Pathogen Treatment Targets: A Comparison of Infection and Disability-Adjusted Life Years (DALYs)Risk Benchmark Approaches.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 57(26): 9427-9894, (2023).

Tags: daly, dose-response, non-potable, norovirus, reuse
Organization: U.S. Environmental Protection Agency
Unit Process LRV Database

Database of pathogen log reduction values (LRV) and credits (LRC) reported in the literature for water reuse unit processes as a function of study design and operational characteristics. 

This dataset is associated with the following publication:
Arden, S., K. McGaughy , J. Philips, L. Hills, E. Chiang, S. Dumler, X. Ma, M. Jahne, and J. Garland. A unit process log reduction database for water reuse practitioners.   Water Research X. Elsevier B.V., Amsterdam,  NETHERLANDS, 23: 100226, (2024).

Tags: log-reduction, pathogen, wastewater-treatment, water-reuse
Organization: U.S. Environmental Protection Agency
IDEA Section 618 Data Products: Data Displays- Part C

#IDEA Section 618 Data Products: Data Displays - Part C
IDEA Part C & Part B 619 Data Displays present annual data related to infants, toddlers, and children with disabilities based on data from various sources including IDEA Section 618 data, IDEA Annual Performance Report data, and Census data. The data displays are used to provide a clear, quick and accurate snapshot of each State’s/ entity’s education data regarding children served under the IDEA. 
##2024
1. [Part C Data Displays 2024][C-Data-Displays-2024]
##2023
1. [Part C Data Displays 2023][C-Data-Displays-2023]
##2022
1. [Part C Data Displays 2022][C-Data-Displays-2022]
##2021
1. [Part C Data Displays 2021][C-Data-Displays-2021]

[C-Data-Displays-2024]: idea-section-618-data-products-data-displays-part-c-2024
[C-Data-Displays-2023]: idea-section-618-data-products-data-displays-part-c-2023
[C-Data-Displays-2022]: idea-section-618-data-products-data-displays-part-c-2022
[C-Data-Displays-2021]: idea-section-618-data-products-data-displays-part-c-2021

Tags: data-products, idea-data-displays, individuals-with-disabilities-education-act, osep
Organization: Department of Education
IDEA Section 618 Data Products: Data Displays- Part B

#IDEA Section 618 Data Products: Data Displays - Part B
IDEA Part B Data Displays present annual data related to children with disabilities based on data from various sources including IDEA Section 618 data, IDEA Annual Performance Report data, NAEP data, Census data, Common Core Data, and Consolidated State Performance Report data. The data displays are used to provide a clear, quick and accurate snapshot of each State’s/ entity’s education data regarding children served under the IDEA.
##2024
1. [Part B Data Displays 2024][B-Data-Displays-2024] 
##2023
1. [Part B Data Displays 2023][B-Data-Displays-2023] 
##2022
1. [Part B Data Displays 2022][B-Data-Displays-2022]
##2021
1. [Part B Data Displays 2021][B-Data-Displays-2021]

[B-Data-Displays-2024]: idea-section-618-data-products-data-displays-part-b-2024
[B-Data-Displays-2023]: idea-section-618-data-products-data-displays-part-b-2023
[B-Data-Displays-2022]: idea-section-618-data-products-data-displays-part-b-2022
[B-Data-Displays-2021]: idea-section-618-data-products-data-displays-part-b-2021

Tags: data-products, idea-data-displays, individuals-with-disabilities-education-act, osep
Organization: Department of Education
Data for: An Updated Modeling Framework to Simulate Los Angeles Air Quality. Part 1: Model Development, Evaluation, and Source Apportionment

Links are provided to the US EPA CMAQ code, the US EPA VCPy emission model, and the exact CMAQ model code and scripts used in this work. 

This dataset is associated with the following publication:
Pennington, E., Y. Wang, B. Schulze, K. Seltzer, J. Yang, B. Zhao, Z. Jiang, H. Shi, M. Venecek, D. Chau, B. Murphy, C. Kenseth, R. Ward, H. Pye, and J. Seinfeld. An Updated Modeling Framework to Simulate Los Angeles Air Quality. Part 1: Model Development, Evaluation, and Source Apportionment.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 24: 2345-2363, (2024).

Tags: cmaq, covid-19, los-angeles, nitrogen-oxides, ozone
Organization: U.S. Environmental Protection Agency
Data for: Anthropogenic Secondary Organic Aerosol and Ozone Production from Asphalt-Related Emissions (v1.0)

Data includes links to CMAQv5.4 code and a data archive with data used in figure generation. 

This dataset is associated with the following publication:
Seltzer, K., V. Rao, H. Pye, B. Murphy, B. Place, P. Khare, D. Gentner, C. Allen, D. Cooley, R. Mason, and M. Houyoux. Anthropogenic Secondary Organic Aerosol and Ozone Production from Asphalt-Related Emissions.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 3(8): 1221-1230, (2023).

Tags: asphalt, emissions, reactive-organic-carbon-roc, secondary-organic-aerosol-soa
Organization: U.S. Environmental Protection Agency