cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23719/1390121
title: WDS Hydraulics and WQ Uncertainty Dataset

description: The GitHub site has the dataset used to create the manuscript figures, which examined which simulation parameters influenced the spread of contamination within a water distribution system. The dataset includes the values for the metrics of interest, which were extent of contamination, population impacted, extent of contamination in the unknown zone, and the population impacted in the unknown zone. These values changed according to the simulation parameter combination set that was used in modeling the affects of a contamination incident within a water distribution system. These parameters included demand, valve closure, contaminant reaction coefficient, injection start time, injection duration, and injection location (as listed in Table 1 of the paper). Two different water distribution system models were used in the paper, the KL network and the N6 network. In addition, some of the simulation model input files that were used to create the data are also provided on the GitHub site, but not all of the input files are provided since there were approximately 25 million simulations. A README file is provided on the GitHub site for more explanation of the files provided.
DOI: 10.23719/1503846
title: Raster outputs in support of Sea Level Affecting Marshes Model (SLAMM) projections for salt marshes of the Lower Delaware Bay

description: These raster files are associated with the SLAMM projections presented in the EPA report, "Application of the Sea-Level Affecting Marshes Model (SLAMM) to the Lower Delaware Bay, with a Focus on Salt Marsh Habitat" (https://cfpub.epa.gov/si/si_public_record_report.cfm?Lab=NCEA&dirEntryId=344746). A subset of these projections are in turn presented in the journal article associated with the ScienceHub entry, "Framework for assessing salt marsh vulnerability to sea level rise to support management decision making: Delaware Bay case study ".
DOI: 10.23719/1407635
title: HTTK R Package v1.0

description: httk: High-Throughput Toxicokinetics

Functions and data tables for simulation and statistical analysis of chemical toxicokinetics ("TK") using data obtained from relatively high throughput, in vitro studies. Both physiologically-based ("PBTK") and empirical (e.g., one compartment) "TK" models can be parameterized for several hundred chemicals and multiple species. These models are solved efficiently, often using compiled (C-based) code. A Monte Carlo sampler is included for simulating biological variability and measurement limitations. Functions are also provided for exporting "PBTK" models to "SBML" and "JARNAC" for use with other simulation software. These functions and data provide a set of tools for in vitro-in vivo extrapolation ("IVIVE") of high throughput screening data (e.g., ToxCast) to real-world exposures via reverse dosimetry (also known as "RTK").
DOI: 10.23719/1500032
title: Dataset for non-targeted urinary biomarkers

description: This dataset contains a summary of compounds found in human urine samples.
DOI: 10.23719/1500031
title: Dataset for Targeted GC-MS Analysis of Firefighters' Exhaled Breath

description: This dataset includes a table of the VOC concentrations detected in firefighter breath samples. QQ-plots for benzene, toluene, and ethylbenzene levels in breath samples as well as box-and-whisker plots of pre-, post-, and 1 h post-exposure breath levels of VOCs for firefighters participating in attack, search, and outside ventilation positions are provided. Graphs detailing the responses of individuals to pre-, post-, and 1 h post-exposure concentrations of benzene, toluene, and ethylbenzene are shown.
DOI: 10.23719/1503433
title: Saili_AOP43_Systems Modeling of Developmental Vascular Toxicity

description: The AOP concept was used to translate ToxCast high-throughput screening data into a ToxPi matrix of 1058 chemicals x 24 features ordered by predicted potential to disrupt angiogenesis.
DOI: 10.23719/1504043
title: Honda_Wambaugh_Using the concordance of in vitro and in vivo data to evaluate extrapolation assumptions

description: All relevant data are within the manuscript, its Supporting Information files, and the httk R software package v1.9.2
DOI: 10.23719/1502587
title: Mosaic Land Use in WRF-Noah LSM

description: Analyzed output from WRF runs which use the Noah land surface model's default treatment of land use and the more novel, mosaic land use representation.
DOI: 10.23719/1503083
title: Judson_RefChem_InVitro_Assays

description: This supplemental material describes two sets of methods; first, it briefly describes the process used to create the EPA’s LitDB database, and second, it describes how a subset of records were extracted from LitDB to be included in the reference chemical database RefChemDB.  LitDB is a database of data elements extracted from the xml download of all MEDLINE PubMed records. Perl scripts are used to extract the identifying information from each citation record, information like title, abstract, authors and PubMed ID.  Additionally, the MeSH (Medical subject heading) terms are extracted with subheadings (also known as qualifiers).  
The Perl scripts extract to text files which are then loaded into a mysql database. 
The MeSH heading and descriptor tree files are also downloaded into mysql tables. They are available at https://www.nlm.nih.gov/mesh/filelist.html.   
To make the data more useful for research in chemicals, the data is passed stepwise through a series of algorithms.
DOI: 10.17632/wbdr5pdxbd.1
title: Ground Penetrating Radar (GPR) Corrosion Data (Wong, 2023)

description: Please refer to the article below:
Wong, P. T.-w., W. W.-l. Lai and C.-s. Poon (2023). "Classification of concrete corrosion states by GPR with machine learning." Construction and Building Materials. https://doi.org/10.1016/j.conbuildmat.2023.132855 (accepted)

Description of Data Set:
D2_0: Specimen D2, baseline, intact, Phase 1, GSSI SIR4000, 2 GHz
D2_1: Specimen D2, after exposure to 4% saline, Phase 2, GSSI SIR4000, 2 GHz
CEE_V_0: concrete wall at CEE/Castco, 50 mm cover, baseline, Phase 1, GSSI SIR20, 2 GHz
Korr1_0: Völker's specimen at BAM, 45 mm cover, baseline
F4_2: Specimen F4, during accelerated electrochemical corrosion, up to the day with hairline crack observed, Phase 2, GSSI SIR4000, 2 GHz
Mala_16_75: Lai's speciemn at BAM, 75 mm cover, baseline, Phase 1, Mala ProEx, 1.6 GHz
GSSI_26_75: Lai's speciemn at BAM, 75 mm cover, baseline, Phase 1, GSSI SIR20, 2.6 GHz
HKM_C1: HKM, field marine structure, delamination, Phase 3, GSSI SIR4000, 2 GHz
HKM_C3: HKM, field marine structure, internal crack, Phase 3, GSSI SIR4000, 2 GHz
NP_D: NP, field marine structure, delamination, Phase 3, GSSI SIR4000, 2 GHz
NP_SC: NP, field marine structure, minor surface crack, Phase 3, GSSI SIR4000, 2 GHz
TM1_C1: Upper deck of the Tuen Mun Wall, water seepage, Phase 2, GSSI SIR4000, 2 GHz
TM2_C5: Lower deck of the Tuen Mun Wall, normal, Phase 1, GSSI SIR4000, 2 GHz
TM2_C6: Lower deck of the Tuen Mun Wall, corroded, Phase 3, GSSI SIR4000, 2 GHz
TM2_C8: Lower deck of the Tuen Mun Wall, corroded and section loss, Phase 3, GSSI SIR4000, 2 GHz

Remark(s):
"GroupX, GroupXX, GroupXXX" stand for the group index for bias-variance decomposition of individual groups as assigned in the "Group" column
DOI: 10.17632/vd2hj27ywy.2
title: University of North Dakota UTP Flow loop Undulations Experiment Data

description: The Data Set represents the high frequency Pressure, flowrates and water holdup acquired data while running the [A:J] set of flow conditions (Superficial water mixture and air velocities) for different lateral section undulations from 0 to 3 undulations with amplitudes ranging from 0 to 20cm, as explained in the related paper by the author., the raw data is uploaded in the separate folders for each flow conditions and the meta data with calculated and estimated values are compiled in the meta data excel document.
The finding of the experimental runs explains how the undulations characteristics do influence the transient flow behavior (slugs frequencies, translational velocity, length, pressure loss, and pressure variability).
Khetib,Y. (2022). INVESTIGATION OF TRANSIENT MULTIPHASE FLOW PERFORMANCE IN UNDULATING HORIZONTAL UNCONVENTIONAL WELLS. In University of North Dakota ProQuest Dissertations Publishing.
DOI: 10.17632/vd2hj27ywy.3
title: University of North Dakota UTP Flow loop Undulations Experiment Data

description: The Data Set represents the high frequency Pressure, flowrates and water holdup acquired data while running the [A:J] set of flow conditions (Superficial water mixture and air velocities) for different lateral section undulations from 0 to 3 undulations with amplitudes ranging from 0 to 20cm, as explained in the related paper by the author., the raw data is uploaded in the separate folders for each flow conditions and the meta data with calculated and estimated values are compiled in the meta data excel document.
The finding of the experimental runs explains how the undulations characteristics do influence the transient flow behavior (slugs frequencies, translational velocity, length, pressure loss, and pressure variability).
Khetib,Y. (2022). INVESTIGATION OF TRANSIENT MULTIPHASE FLOW PERFORMANCE IN UNDULATING HORIZONTAL UNCONVENTIONAL WELLS. In University of North Dakota ProQuest Dissertations Publishing.
DOI: 10.17632/vd2hj27ywy.1
title: University of North Dakota UTP Flow loop Undulations Experiment Data

description: The Data Set represents the high frequency Pressure, flowrates and water holdup acquired data while running the [A:J] set of flow conditions (Superficial water mixture and air velocities) for different lateral section undulations from 0 to 3 undulations with amplitudes ranging from 0 to 20cm, as explained in the related paper by the author., the raw data is uploaded in the separate folders for each flow conditions and the meta data with calculated and estimated values are compiled in the meta data excel document.
The finding of the experimental runs explains how the undulations characteristics do influence the transient flow behavior (slugs frequencies, translational velocity, length, pressure loss, and pressure variability).
DOI: 10.17632/vd2hj27ywy.4
title: University of North Dakota UTP Flow loop Undulations Experiment Data

description: The Data Set represents the high frequency Pressure, flowrates and water holdup acquired data while running the [A:J] set of flow conditions (Superficial water mixture and air velocities) for different lateral section undulations from 0 to 3 undulations with amplitudes ranging from 0 to 20cm, as explained in the related paper by the author., the raw data is uploaded in the separate folders for each flow conditions and the meta data with calculated and estimated values are compiled in the meta data excel document.
The finding of the experimental runs explains how the undulations characteristics do influence the transient flow behavior (slugs frequencies, translational velocity, length, pressure loss, and pressure variability).
Khetib,Y. (2022). INVESTIGATION OF TRANSIENT MULTIPHASE FLOW PERFORMANCE IN UNDULATING HORIZONTAL UNCONVENTIONAL WELLS. In University of North Dakota ProQuest Dissertations Publishing.
DOI: 10.17632/sj7zcvjhhr.1
title: manuscript data

description: Original data of the article manuscript
DOI: 10.17632/xwpb8cj994.1
title: YS01 core data

description: Grain size and clay minerals of YS01 core.
DOI: 10.17632/jwzbvfj396.1
title: Servomechanism System

description: In this paper is presented the prototype of a Servomechanism based on SMA Actuators.
These data contain the description of the components used in the design of the Servomechanism prototype.
DOI: 10.17632/jwzbvfj396.2
title: Servomechanism System

description: In this paper is presented the prototype of a Servomechanism based on SMA Actuators.
These data contain the description of the components used in the design of the Servomechanism prototype.
DOI: 10.23719/1503788
title: Assessing PM2.5 Model Performance for the Conterminous U.S. with Comparison to Model Performance Statistics from 2007-2015

description: Dataset includes links to CMAQ codes, evaluation of model predictions against network data, and additional supporting information.
DOI: 10.17632/nmt7ppsp8r.1
title: Cytoplasmic Location of Translation Controls Protein Output

description: The cytoplasm is highly compartmentalized, but the extent and consequences of subcytopIasmic mRNA localization in non-polarized cells are largely unknown. We determined mRNA enrichment in TIS granules (TGs) and the rough endopIasmic reticuIum (ER) through particle sorting and isolated cytosolic mRNAs by digitonin extraction. When focusing on non-membrane protein-encoding mRNAs, we observed that 52% have a biased transcript distribution across these compartments. Compartment enrichment is determined by a combinatorial code based on mRNA length, exon length, and 3′UTR-bound RNA-binding proteins. Compartment-biased mRNAs differ in the functional classes of their encoded proteins: TG-enriched mRNAs encode low-abundance proteins with strong enrichment of transcription factors, whereas ER-enriched mRNAs encode large and highly expressed proteins. Compartment localization is an important determinant of mRNA and protein abundance, which is supported by reporter experiments showing that redirecting cytosolic mRNAs to the ER increases their protein expression. In summary, the cytoplasm is functionally compartmentaIized by local translation environments.
DOI: 10.17632/8jhy4ym4dd.1
title: First responder campaign testing

description: First responder campaign testing
DOI: 10.17632/j46m3zpx52.1
title: The Greta Thunberg Effect: Investigating the Impact of Environmental Activism on Tourist Green Hotel Choices

description: Data from the tourist who have visited five key waterfall of Jharkhand.
DOI: 10.17632/fbg3x2jsnd.1
title: Evaluation of the physical-chemical degradation of biodegradable plastics sold in supermarkets | Evaluación de la degradación físico-química de plásticos biodegradables expendidos en los supermercados

description: The present investigation proposed to evaluate the
degradability of plastic materials declared publicly as biodegradable
plastics. Its physical and mechanical properties were determined.
Likewise, the materials were characterized by Fourier Transform
Infrared Spectroscopy (FTIR) and Scanning Electron Microscopy
(SEM).
Two plastics declared as biodegradable (TA and TB) and a
conventional plastic such as Polyethylene (TC) were selected, which
were subjected to different environments such as water, soil and
weather, the study was carried out for a period of 4 months.
It was determined that the biodegradable plastic TA presented a
greater weight loss when subjected to soil and water, while TB and
TC did not present significant changes in these media. The TB
sample presented the greatest weight loss when exposed to the
elements. When subjected to mechanical tests, it was observed that
the TA samples showed a greater decrease in the properties of
maximum resistance and deformation. This behavior was
corroborated with SEM, where TA was the one that showed the most
signs of degradation when exposed to different media, TB plastic,
despite being sold as a biodegradable material, showed slight
changes in its morphology like TC plastic. While the FTIR analysis
revealed slight variations in their peaks and in the absorbances of
the regions corresponding to the biodegradable molecules.
Keywords- Starch, plastics, biodegradable, polyethylene.
DOI: 10.17632/4tbr65zn27.1
title: Risk of Incident Sleep Disorders in Patients with Prurigo Nodularis

description: Figure S1. Study design flowchart depicting patient selection and matching criteria. 

Figure S2. Kaplan Meier curves for sleep disorders in PN and control patients. Significance was determined with log-rank test.
DOI: 10.17632/4tbr65zn27.2
title: Risk of Incident Sleep Disorders in Patients with Prurigo Nodularis

description: Supplementary Figure 1. Study design flowchart depicting patient selection and matching criteria. 

Supplementary Figure 2. Kaplan Meier curves for sleep disorders in PN and control patients. Significance was determined with log-rank test.
DOI: 10.17632/cnmh45zvv4.1
title: Coal industry

description: Coal industry after sanctions in Russia
DOI: 10.23719/1503133
title: Increasing importance of organosulfur species for aerosol properties and future air quality

description: Link to IMPROVE network ambient data used in Figure 2a.
DOI: 10.17632/ck27s2h85n.2
title: RadAI

description: This data was collected in a post-deployment setting of DrAidTM, an AI-supported chest X-ray interpretation tool. DrAidTM employs an AI model that takes in a chest X-ray image and outputs the presence or absence of 21 pathologies and findings. In the interface, the radiologist is presented with (1) the patient’s medical and Rx history, (2) a chest X-ray in DICOM format, (3) relevant demographics such as age and gender, (4) predicted pathologies and other findings, and (5) regions of interest (ROIs) associated with each AI-predicted finding.  The user can view ROIs, add AI findings to a report, request a second opinion, search for additional pathologies to add, and generate both internal and patient-accessible reports. 
Data consists of predicted pathologies, final radiologist report inclusions, and demographics for 10,569 patients. Patients were randomly sampled from those whose X-rays were interpreted using DrAidTM at Nam Dinh Hospital in Vietnam between October of 2019 and February of 2022. Further, in order to ensure high-quality samples, only images interpreted by a radiologist whose familiarity with the DrAidTM tool was in the top-10, as measured by number of images interpreted using the tool, were included in the dataset. Pathologies and findings detected include cardiomegaly, fracture, lung lesion, pleural effusion, pneumothorax, atelectasis, consolidation, pneumonia, edema, cavitation, fibrosis, enlarged cardiomediastinum, widened mediastinum, pleural other, medical device, COVID-19, mass, nodule, mass or nodule (unknown), lung opacity, and tuberculosis.
DOI: 10.17632/xtfjxgyv9v.1
title: Stuttgart Lauf first 25 Male and Female Finishers 2019-2023

description: First 25 female and male finishers running data 
Stuttgart Lauf 
Years: 2019, 2020 (Virtual), 2021 (Virtual), 2022 and 2023
Data was retreived from the official event website.
DOI: 10.23719/1503185
title: Development, validation and integration of in silico models to identify androgen active chemicals

description: A diverse data set of 1667 chemicals with AR experimental activity were provided by the U.S. EPA from the oxicity Forecaster (ToxCast) program which generates data using in vitro high-throughput screening (HTS) assays measuring activity of chemicals at multiple points along the androgen receptor (AR) activity pathway.  The Endocrine Disruptor Knowledgebase (EDKB) androgen receptor (AR) binding data set (Fang et al., 2003) was downloaded from the FDA website and was produced expressly as a training set designed for developing predictive models. The data is based on a validated assay using recombinant AR. The dataset contains 146 AR binders and 56 non-AR binders. These training set chemicals were selected for both chemical structure diversity and range of activity, both of which are essential to develop robust QSAR and other models (Perkins, 2003).
DOI: 10.23719/1503734
title: ToxRefDB version 2.0: Improved utility for predictive and retrospective toxicology analyses

description: ToxRefDB comprises information from over fifty years of in vivo toxicity data. The database includes information for over 1000 chemicals, and is being used as a primary source of data for evaluating efforts of the ToxCast program [4,5], as well as for numerous predictive and retrospective analyses.
DOI: 10.17632/r2p4sphhwm.1
title: Physiological based Quantification of Cattle Emitted Enteric Methane across Indian States from 2003 - 2022

description: The research is a combination of descriptive and correlational research and it is complemented by arithmetic based modeling. The research tests against several hypotheses which have been highlighted in the literature gaps. The data was collected from the livestock census of the Department of Animal Husbandry and Dairying (DAHD) from 17th livestock census (census conducted in 2003), 18th livestock census (census conducted in 2008 ), 19th livestock census (census conducted in 2012) and 20th livestock census (census conducted in 2019). Furthermore, year on year enteric methane emissions have been accounted for indigenous and crossbred dairying cattle from 2014 - 2022. The data used from the livestock census is essentially a compilation of different breeds of cattle across different life stages and ages. Software Stata Version 15 was employed to clean the data and QGIS 3.28.2 was used to create data visualization graphs. 

To reinstate, the formula used for arriving at the estimates produced in figure 3, table 2 and 3; methane conversion rate, GEI Coefficient calculated based on cattle’s body weight and energy content of methane have been used (Thakuri et al, 2020). This formula is furthermore utilitarian when substituted with on field observations (eq (i)). 
Enteric Fermentation = (365 * Methane Conversion Rate * Gross Energy Intake Coefficient Based on Cattle's Body Weight)/(Energy Content of Methane).........eq (i)
Net Enteric Methane Emissions = Number of Animals * Enteric Fermentation Emission factor ....eq (ii)

For the purpose of estimating maximum enteric methane emitted, the upper interval is used. The parameters explored in the study are physiological and the precise definitions have been adopted from the 20th Livestock Census Manual [latest]. The emission factors have been adopted from IPCC Tier 1 and 2 model.

The dataset entails enteric methane emissions from cattle through various stages of its life (i.e., as a calf (age 0-1), heifer (age 1 – 2), dairying and dry) across indigenous and crossbred cattle and from a spatial and temporal lens. Thus, a testament to these emissions across space, scale, and time. By quantifying enteric methane emissions across different physiological stages of cattle life in India, the study addresses the pressing need to comprehend the full extent of greenhouse gas contributions from livestock. Our study employs spatial and temporal analysis to mathematically estimate the methane emitted by cattle in each Indian state and union territory over the past two decades, thus calculating methane emissions from 2003 through 2022. This comprehensive approach allows us to gain valuable insights into the dynamics of enteric methane emissions and cattle populations across the country through the years.
DOI: 10.17632/pbx29pnpmt.1
title: Supplementary Material for Paper : The Promise of Physiological Data in Collaborative Learning

description: Full search strings both of 1st and 2nd round search, Contribution of physiological data in Collaborative Learning & Multimodal Data Analysis
DOI: 10.23719/1502620
title: Exposure-response arrays for noncancer and cancer endpoints for p,p'-DDD and analogues 

description: Data for the exposure-response arrays comparing effect levels for non-cancer and cancer endpoints for p,p'-DDD and analogues were sourced from the links provided.
DOI: 10.23719/1502621
title: ToxCast bioactivity data for p,p'-DDD and analogues 

description: Bioactivity data for p,p'-DDD and analogues from ToxCast assays conducted in liver cells were sourced from the EPA’s CompTox Chemistry Dashboard. The links also provide access to the ToxCast assay information and annotation data user guide.
DOI: 10.23719/1502622
title: ToxCast bioactivity data and model predictions for the ER and AR pathways for p,p'-DDD and analogues 

description: ToxCast bioactivity data and model predictions for the estrogen receptor (ER) and androgen receptor (AR) pathways were obtained from the inks provided.
DOI: 10.17632/kkf8txpnvz.1
title: Replication Code for "Competition and Selection in Credit Markets"

description: Replication code for "Competition and Selection in Credit Markets"