AndreaBozzo/ceres-open-data-index huggingface dataset:
KFTI data

This study quantifying the sensitivity and tolerance of fish species to stressor gradients in the Karun River basin (Western Iran) and to used this information to develop a fish-based tolerance index, the Karun Fish Tolerance Index (KFTI), that can serve as a practical management tool. We also tested if native, endemic, and nonnative fish species differ in tolerance to the range of stressors that occur in the Karun River system. The KFTI complements a multimetric index (KFMMI) based on the same data developed in a companion study. The two complementary fish-based indices developed based on this dataset, that is, KFTI (this study) and KFMMI (Zare Shahraki et al., 2022b) are now available for use by stakeholders, managers, and scientists to evaluate the quality of freshwater ecosystems in Iran and elsewhere. This dataset is not publicly accessible because: Data is the property of Swiss Leading House South Asia and Iran (ZHAW) and Isfahan University of Technology. It can be accessed through the following means: The data that support the findings of this study are available from the corresponding author (Andreas Bruder) upon reasonable request. Format: Physical habitat, landscape data, and water chemistry. 

This dataset is associated with the following publication:
Zare Shahraki, M., P. Fathi, E. Ebrahimi Dorche, J. Flotemersch, K. Blocksom, J. Stribling, and A. Bruder. Environmental impact assessment and conservation planning of a Middle-Eastern River basin using a fish-based tolerance index.   River Research and Applications. John Wiley & Sons Incorporated, New York, NY, USA, 40(3): 411-424, (2024).

Tags: biodiversity, ecosystem-management, stressor-gradient, stressor-sensitivity
Organization: U.S. Environmental Protection Agency
PropRA-Supplementary Information

Proportional response addition (Prop-RA), a model for predicting response from chemical mixture exposure, is demonstrated, and evaluated by statistically evaluating data on all possible binary combinations of the four regulated trihalomethanes. In the Prop-RA model, the contribution of each component to mixture toxicity is based on its proportion in the mixture as well as its response at the total mixture dose. To allow evaluation of Prop-RA, an experimental design was employed using a set of doses common to all components and mixtures, providing hepatotoxicity data on the four single trihalomethanes and the two combinations. The primary analysis conducted on these data consisted of 160 evaluations. Statistically significant departures from the outcome predicted under an assumption of Prop-RA additivity, were found for 7 evaluations, with 3 greater than and 4 less than the response predicted by the Prop-RA model. Interaction magnitudes (n-fold different response than the Prop-RA prediction) ranged from 1.3 to 1.4 for the greater than additive responses and 2.6 to 3.8 for the less than additive responses.  The successful prediction of trihalomethane mixture response by Prop-RA lends support to the idea that the method works best with chemicals where the effective dose ranges overlap. As Prop-RA does not have the mechanistic assumptions of either dose or response addition, it may be best applied to mixtures where the same component chemicals affect the same organ/system but where knowledge of whether the components act via the same, converging or independent pathways is not known. 

This dataset is associated with the following publication:
Teuschler , L., R. Hertzberg , T. McDonald, Y. Sey, and J. Simmons. Evaluation of a Proportional Response Addition Approach to Mixtures Risk Assessment and Predictive Toxicology Using Data on Four Trihalomethanes.   Toxics. MDPI, Basel,  SWITZERLAND, 12(4): 240, (2024).

Tags: additivity, disinfectant-byproducts, mixtures-risk-assessment, predictive-computational-toxicology, proportional-response-addition, toxicological-interaction, trihalomethane-mixtures, trihalomethanes
Organization: U.S. Environmental Protection Agency
MMWR Metadata

Metadata for MMWR on Canadian Wildfire Smoke episodes and asthma ED visits. Portions of this dataset are inaccessible because: Jurisdictions own data with protections under their laws and regulations. NSSP (CDC) has access to data through data-use agreements that allow for reporting at the HHS regional aggregate level. They can be accessed through the following means: For the non-public data, all end users with access are credentialled and must gain access through PIV following CDC approved protocols. All team members with access are CDC employees. For the public data that is associated with the MMWR publication, results will be presented in a visual format showing graphs of ED visit counts and air quality levels in the publication. 

Publicly available Aggregated data will be available in CDCStacks library system. For non-public data. Format: Data will  be presented in aggregate form during dissemination phase through a publicly accessible MMWR. 

This dataset is associated with the following publication:
McArdle, C., T. Dowling, K. Carey, J. DeVies, D. Johns, A. Gates, Z. Stein, K. van Santen, L. Radhakrishnan, A. Kite-Powell, K. Soetebier, J. Sacks, K. Sircar, K. Hartnett, and M. Mirabelli. Asthma-Associated Emergency Department Visits During the Canadian Wildfire Smoke Episodes — United States, April–August 2023.   MORBIDITY AND MORTALITY WEEKLY REPORT. U.S. Department of Health and Human Services, Washington, DC, USA, 72: 926-932, (2023).

Tags: air-quality, asthma, public-health, wildfire-smoke
Organization: U.S. Environmental Protection Agency
Sisk.food.desert.networks

Networks of public transit and food deserts. This dataset is not publicly accessible because: Data was never accessed by EPA authors. It can be accessed through the following means: Data is available on request from lead author, Dr. Anna Sisk at asisk9@alum.utk.edu. Format: spatial datasets. 

This dataset is associated with the following publication:
Sisk, A., K. Rappazzo, T. Luben, and N. Fefferman. Connecting people to food: A network approach to alleviating food deserts.   Journal of Transport & Health. Elsevier B.V., Amsterdam,  NETHERLANDS, 31: 101627, (2023).

Tags: environmental-justice, food-desert, geospatial-analysis, mathematical-modeling, network-analysis, transportation
Organization: U.S. Environmental Protection Agency
CARES_COPD_casecrossover

Information on hospitalizations of COPD patients from electronic health records linked to air pollution concentrations for the study period. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Can be requested through NCTracts https://tracs.unc.edu/index.php/services/comparative-effectiveness-research/data-linkage. Format: Data used in this analysis include electronic health records from the UNC healthcare system. 

This dataset is associated with the following publication:
Cowan, K., L. Wyatt, T. Luben, J. Sacks, C. Ward-Caviness, and K. Rappazzo. Effect measure modification of the association between short-term exposures to PM2.5 and hospitalizations by longs-term PM2.5 exposure among a cohort of people with Chronic Obstructive Pulmonary Disease (COPD) in North Carolina, 2002–2015.   ENVIRONMENTAL HEALTH. Academic Press Incorporated, Orlando, FL, USA, 22: 49, (2023).

Tags: copd, electronic-health-records, hospitalization, long-and-short-term-interaction, particulate-matter-pm
Organization: U.S. Environmental Protection Agency
Data tables for Annual Supplement to Handbook 135 - 2024 Release

Data tables for the 2024 edition of energy price indices and discount factors for performing life-cycle cost analyses of energy and water conservation and renewable energy projects in federal facilities. These data tables are associated with the 2024 release of the Annual Supplement to NIST Handbook 135 (HB 135, Life-Cycle Costing Manual for the Federal Energy Management Program).

Tags: building-economics, energy-efficiency, life-cycle-cost-analysis, renewable-energy
Organization: National Institute of Standards and Technology
2,2'-Dimethylbiphenyl: 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
Phenylcyclohexane: 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.

Tags: density, enthalpy-of-formation, heat-capacity, thermodynamic-functions, vapor-pressure
Organization: National Institute of Standards and Technology
Smartphone Data for Development of Indoor Localization Apps

The PerfLoc Prize Competition (https://perfloc.nist.gov) was developed by NIST during 2015-2017 and was run during 2017-2018. The Competition was concluded with a single winner on May 16, 2018. However, NIST believes the data collected for the PerfLoc Competition is still of value to the R&D community, because there is still room to develop better signal processing and data fusion algorithms that would fuse various types of smartphone data collected in this project to develop indoor localization apps with higher localization accuracy. For that reason, NIST continues to make the PerfLoc data available to the R&D community.One thing has changed compared to when the PerfLoc Competition was running in 2017-2018. It is no longer possible for app developers to upload the location estimates generated by their apps at the PerfLoc website for performance evaluation purposes and to get statistics of localization accuracy. However, the PerfLoc data is still useful, because there is training data with ground-truth location annotation that would be useful to anyone wishing to develop indoor localization apps and getting an idea of the performance of their apps.“There are a total of 14 files that can be downloaded from this web page (see below). The descriptions for these files can be found at the relevant PerfLoc web pages (https://www.nist.gov/ctl/pscr/perfloc-user-guide and https://www.nist.gov/ctl/pscr/perfloc-data.”

Tags: indoor-localization-smartphone-apps-smartphone-location-smartphone-sensor-data-smartphone-rf-re
Organization: National Institute of Standards and Technology
Data for Filtering Organized 3D Point Clouds for Bin Picking Applications

Contains scans of a bin filled with different parts ( screws, nuts, rods, spheres, sprockets). For each part type, RGB image and organized 3D point cloud obtained with structured light sensor are provided. In addition, unorganized 3D point cloud representing an empty bin and a small Matlab script to read the files is also provided. 3D data contain a lot of outliers and the data were used to demonstrate a new filtering technique.

Tags: 3d-point-cloud, filtering-3d-data-for-bin-picking, stochastic-outlier-removal
Organization: National Institute of Standards and Technology
Data for "A 64-pixel mid-infrared single-photon imager based on superconducting nanowire detectors"

Numerical values of all data points shown in figures for manuscript "A 64-pixel mid-infrared single-photon imager based on superconducting nanowire detectors", available on arXiv (https://arxiv.org/abs/2309.16890)and in Applied Physics Letters 124, 042602, (2024) (https://doi.org/10.1063/5.0178931).

Tags: mid-infrared, single-photon-detector-array, snspd, superconducting-detector
Organization: National Institute of Standards and Technology
Dataset of Published Concentrations of Plastic Additives in the Ocean

Concentrations of plastic additive chemicals were taken from peer-reviewed literature. Only studies that mentioned the chemicals as plastic additives were included. Studies that measured plastic additives in marine plastic debris, marine organisms, marine sediments and/or seawater were included.

Tags: antioxidants, bisphenol-a, brominated-flame-retardants, chemical-contaminants, hbcds, marine-debris, monomers, ocean-plastics, pbdes, phthalates, plastic-additives, plastic-pollution, plasticizers, uv-stabilizers
Organization: National Institute of Standards and Technology
On-Wafer Calibration Comparisons of Multiline TRL with Platinum and Gold Conductors

Here are included figures and other relevant data from the paper "On-Wafer Calibration Comparisons of Multiline TRL with Platinum and Gold Conductors" to be published in International Microwave Symposium 2024.Introduction: On-wafer calibrations are critical for measurements of embedded devices at the correct reference planes. A major challenge in on-wafer calibrations is the development of accurate calibrations that cover a frequency range from MHz to THz. Another challenge facing on-wafer measurements is the lack of calibrations that are directly traceable to the SI. The multiline TRL (TRL) calibration is a promising approach for high-frequency traceable on-wafer measurements. However, this calibration is often practically limited in the low frequency regime by space considerations. Here, we compare the performance of several calibrations with different footprint requirements. Specifically, we compare three calibration kits: TRL fabricated with Au conductors, TRL fabricated with Pt conductors, and a series resistor (SR) calibration kit. We find that both the Au and Pt calibration kits perform well approximately 100 MHz. Then, we compare the performance of the different TRL calibration kits with reduced numbers of lines to assess the impact of device footprint on calibration quality. We find that changing the conductor material does not substantially improve the quality of the TRL calibration at low frequencies, while increasing the length of the longest line does.

Tags: on-wafer-calibration-chip-trl-series-resistor-calibration-comparison
Organization: National Institute of Standards and Technology
Data to support "Implementation of SPME and Rapid GC-MS as a Screening Approach for Forensic Fire Debris Applications"

This data set contains raw data files for ignitable liquids, mock fire debris samples, and other related samples. All samples were extracted using solid phase microextraction (SPME) and analyzed by rapid gas chromatography-mass spectrometry (GC-MS), a recently developed chromatographic screening technique. Data is included for instrument inlet optimization, analysis of neat ignitable liquids (gasoline and diesel fuel), and analysis of mock burn samples consisting of carpet and wood substrates spiked with either ignitable liquid. Using the optimized instrumental method, compounds commonly utilized for classification of both ignitable liquids were identified in the respective neat samples and mock burn samples. This data supports work to demonstrate the successful implementation of SPME with rapid GC-MS for a fast analytical screening workflow for fire debris applications.Certain commercial equipment, instruments, or materials are identified in this dataset in order to specify the experimental procedure adequately. Such identification is not intended to imply recommendation or endorsement by the National Institute of Standards and Technology, nor is it intended to imply that the materials or equipment identified are necessarily the best available for the purpose.

Tags: forensic-science, ignitable-liquids, rapid-gc-ms, screening, solid-phase-microextraction
Organization: National Institute of Standards and Technology
2-Methylbiphenyl: 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, together with a list of experimental results that were reported previously and used in the generation of the derived properties.

Tags: density, enthalpy-of-formation, heat-capacity, thermodynamic-functions, vapor-pressure
Organization: National Institute of Standards and Technology
Supporting Data for "Selective deuteration along a polyethylene chain: Differentiating conformation segment by segment"

Includes raw data used to generate the figures in the publication "Selective deuteration along a polyethylene chain: Differentiating conformation segment by segment" [https://doi.org/10.1021/acs.macromol.3c01560]. Data include NMR spectra, FTIR spectra, Raman spectra, SEC traces, and DSC traces of isotopically labeled polyethylene materials. Chemical structures of the samples are also included as .png image files and .mol chemical table files, which can be opened with most chemical structure editors. Non-proprietary file formats are included for all types of characterization. For DSC and NMR spectroscopy data, proprietary file formats are also included, requiring the use of TA Instrument Trios software and Bruker TopSpin software, respectively. Disclaimer: Certain commercial equipment, instruments, or materials are identified in this work to specify the experimental procedure adequately. Such identification is not intended to imply recommendation or endorsement by the National Institute of Standards and Technology, nor is it intended to imply that the materials or equipment identified are necessarily the best available for the purpose.

Tags: deuteration, polyethylene, polyolefins, vibrational-spectroscopy
Organization: National Institute of Standards and Technology
"module-utilities": A Python package for simplify creating python modules.

"module-utilities"  is a python package of utilities to simplify working with python packages.The main features of `module-utilities` are as follows: "cached" module:  A module to cache class attributes and methods. Right now, this uses  a standard python dictionary for storage. Future versions will hopefully  be more robust to threading and shared cache."docfiller" module: A module to share documentation. This is adapted from the  pandas `doc` decorator.  There are a host of utilities build around this."docinhert": An interface to "docstring-inheritance" module. This can be  combined with "docfiller" to make creating related function/class  documentation easy.

Tags: python-packaging, software-development
Organization: National Institute of Standards and Technology
NIST Collaborative Research Cycle Data and Metrics Archive

This repository contains the collected resources submitted to and created by the NIST Collaborative Research Cycle (CRC) Data and Metrics Archive. The NIST Collaborative Research Cycle (CRC) is an ongoing effort to benchmark, compare, and investigate deidentification technologies. The program asks the research community to deidentify a compact and interesting dataset called the NIST Diverse Communities Data Excerpts, demographic data from communities across the U.S. sourced from the American Community Survey. This repository contains all of the submitted deidentified data instances each accompanied by a detailed abstract describing how the deidentified data were generated. We conduct an extensive standardized evaluation of each deidentified instance using a host of fidelity, utility, and privacy metrics, using out tool, SDNist. We?ve packaged the data, abstracts, and evaluation results into a human- and machine-readable archive.

Tags: benchmarks, deidentified-data, differential-privacy, privacy, synthetic-data
Organization: National Institute of Standards and Technology
CMOS Sky130 Primitives measured at cryogenic temperatures

Sky130 is an open source complimentary metal oxide semiconductor (CMOS) technology manufactured by Skywater Technology in its facility in Bloomington, Minnesota. Since it is an open source technology, there are no legal restrictions on it's characterization, unlike in typical foundry semiconductor technologies. To facilitate the development of cryogenic electronics, this data set includes measurements of devices manufactured in Sky130 at low temperatures.

Tags: cmos, cryogenics, quantum, semiconductor, transistor
Organization: National Institute of Standards and Technology
Data supporting the case study of the 2018 Camp Fire

The Camp Fire ignited on November 8, 2018 in the foothills of the Sierra Nevada in Butte County, California. The first 24 hours were characterized by a fast-moving fire with initial spread driven by high winds up to 22 m/s (50 mi/h) and long-range spotting up to 6.3 km (3.9 mi) into the community. The fire quickly impacted the communities of Concow, Paradise, and Magalia. The Camp Fire became the most destructive and deadly fire in California history, with over 18000 destroyed structures, 700 damaged structures, and 85 fatalities. After a preliminary reconnaissance, it was determined that abundant data was available to support an in-depth case study of this devastating wildland-urban interface (WUI) fire to increase our understanding of WUI fire spread, fire behavior, evacuation, and structure response.Over 2200 fire observation data points were documented, each assigned a geographic location and timestamp. Through extensive cross-referencing and quality control to reconcile inconsistencies, the data points were integrated to compile a timeline of the fire spread. Data attributes include the observation description, time, location, type of fire (i.e., a spot fire, vegetative, structural, or other type of fire), and information source.

Tags: california, camp-fire, fire, outdoor-fire, reconstruction, spot-fire, wildfire, wildland-urban-interface, wui
Organization: National Institute of Standards and Technology