cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8y8hrx5d39
title: Sample simulation output files

description: This data contains the output of a ​simulation experiment from a flexible manufacturing system for mass personalization.
DOI: 10.17632/x2mv2ctm7c
title: Evaluation of saliva self-collection devices for SARS-CoV-2 diagnostics

description: There is an urgent need to expand testing for SARS-CoV-2 and other respiratory pathogens as the global community struggles to control the COVID-19 pandemic. Current diagnostic methods can be affected by supply chain bottlenecks and require the assistance of medical professionals, impeding the implementation of large-scale testing. Self-collection of saliva may solve these problems, as it can be completed without specialized training and uses generic materials. In this study, we observed thirty individuals who self-collected saliva using four different collection devices and analyzed their feedback. Two of these devices, a funnel and bulb pipette, were used to evaluate at-home saliva collection by 60 individuals. All devices enabled the safe, unsupervised self-collection of saliva. The quantity and quality of the samples received were acceptable for SARS-CoV-2 diagnostic testing, as determined by RNase P detection. Here, we demonstrate inexpensive, generic, buffer free collection devices suitable for unsupervised and home saliva self-collection.
DOI: 10.17632/4vzph2f83y
title: Using fluorescence anisotropy to monitor chaperone dispersal of RNA-binding protein condensates 

description: This README file is for the dataset used in "Protocol for using fluorescence anisotropy to monitor chaperone-dependent dispersal of heat-induced RNA-binding protein condensates" published in STAR Protocols (Yoo and Drummond, 2022). The file contains example data and custom R (version 3.5.2) scripts for analyzing the example data as described in the protocol.
DOI: 10.17632/fnmj9756x9
title: Data from Niedzwienska, Solga, Zagaja, and Zolnierz (2020) „Everyday memory failures across adulthood: Implications for the age prospective memory paradox”

description: This dataset includes the data for the study on age-related differences in everyday memory failures (three age groups, N= 152). Information on each variable is available as comments on the cell containing the name of each variable. A manuscript describing the results of the study is currently accepted for publication in PLOS ONE.
DOI: 10.17632/s263z9726b
title: Data for: Influence of alkaline and oxidative pre-treatment of waste corn cobs on biohydrogen generation efficiency via dark fermentation

description: On the basis of data a correlation matrix was prepared for the compositions of biomass and enzymatic hydrolysates. As predicted, it was found that there is a positive correlation between the biomass components and the sugars formed from them. Positive correlation occurs between the content of hemicellulose in biomass and achieved concentrations of xylose, galactose, mannose and arabinose as a result of saccharification. Similarly, the concentration of glucose and its dimer - cellobiose is positively correlated. On the basis of the correlation matrix, dendrogram cluster representing the similarity of features was prepared.
DOI: 10.17632/hvtrbfn3ny
title: Vampire Effect in Digital Advertising

description: This is an xls workbook with the the full dataset and the eight regression models for all the four treatment with brand and message recall conducted using XLSTAT.
DOI: 10.15468/dl.m7yhh8
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Etroplus canarensis Day, 1877"
 ]
}

 The dataset includes 60 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009130-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28831355.v1
title: Data acquisition and screening

description: Data acquisition and screening
DOI: 10.17632/ygtzncvycr
title: Supplementary materials for manuscript “Continental crust rejuvenation across the Paleo-Mesoarchean transition resulted from elevated mantle geotherms”

description: This dataset includes analytical methods, supplemental figures and tables of Continental crust rejuvenation across the Paleo-Mesoarchean transition resulted from elevated mantle geotherms
DOI: 10.6084/m9.figshare.19140497.v1
title: Filtered LFC files

description: Processed data files associated with: <br>Hanna RE, Hegde M, Fagre CR, DeWeirdt PC, Sangree AK, Szegletes Z, et al. Massively parallel assessment of human variants with base editor screens. Cell. 2021;184: 1064–1080.e20.
DOI: 10.17632/s4n7397jvr
title: Dataset for analysing the ESG-oriented technical efficiency of VNSI listed companies.

description: Financial data and ESG disclosure information are publicly available on the websites of the companies. Stock market data, reflecting the fluctuations of the companies' stocks, is stored on the Fireant website.
DOI: 10.17632/vxkkdmw55f
title: Icteric Interference with Clinical Chemistry Testing

description: Supplementary file 1: Data for age in years (at time of laboratory testing) and sex (as recorded in the electronic medical record) for 94,081 unique patients.  Ages greater than 89 years old are indicated as ">89".  The retrospective timeframe is January 1, 2018 through December 31, 2018.

Supplementary file 2: Data for 414,502 specimens submitted for clinical chemistry analysis.  The retrospective timeframe is January 1, 2018 through December 31, 2018.  Specific data fields include: unique specimen identification number (deidentified), patient location at time of testing (emergency department, inpatient unit, or outpatient site), sex (as recorded in electronic medical record), age in years (at time of laboratory testing), specimen hemolysis index, specimen icteric index, and specimen lipemic index.

Supplementary file 3: Data for 114 clinical chemistry assays analyzed in the present study.  Specific data fields include: assay name, assay vendor, package insert version relevant to the retrospective timeframe, assay package insert icteric index limit (if stated), total numbers of the specific test performed in the retrospective analysis, absolute number and percent of total specimen icteric indices that exceeded the package insert icteric index limit for the specific assay, and number of results that exceeded the package insert icteric index for a specific assay accounted for by 57 patients (4 pediatric, 53 adult; 524 total specimens) who had one or more icteric indices of 40 or higher in the retrospective timeframe.  The retrospective timeframe is January 1, 2018 through December 31, 2018.

Supplementary file 4: Data obtained by chart review for 57 patients (4 pediatric, 53 adult; 524 total specimens) who had one or more specimens with an icteric index of 40 or higher.  The retrospective timeframe is January 1, 2018 through December 31, 2018.  Specific data fields include: de-identified patient number, age in years (at time of laboratory testing), sex (as recorded in electronic medical record), diagnosis category from chart review that most likely accounted for severe icterus (grouped into broad categories of alcohol-related liver disease, biliary tract disease, liver disease related to infection, neoplasm/tumor, and other), additional/specific diagnoses, whether patient was deceased within 1 year of laboratory testing, and whether patient was deceased within 3 years of laboratory testing.
DOI: 10.17632/gb9xx9prgt
title: Data for 'Péclet-number-dependent longitudinal dispersion in discrete fracture networks'

description: Data for 'Péclet-number-dependent longitudinal dispersion in discrete fracture networks'
DOI: 10.17632/ywkhyb2hw6
title: English_National_Travel_Survey_2002_2023

description: This dataset contains the English National Travel Survey from 2002 to 2023, with extra information on carbon intensity from "Greenhouse gas reporting: conversion factors" by the UK government.
DOI: 10.17632/3kkcn7gpwf
title: pyIAST: Ideal adsorbed solution theory (IAST) Python package

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract Ideal adsorbed solution theory (IAST) is a widely-used thermodynamic framework to readily predict mixed-gas adsorption isotherms from a set of pure-component adsorption isotherms. We present an open-source, user-friendly Python package, pyIAST, to perform IAST calculations for an arbitrary number of components. pyIAST supports several common analytical models to characterize the pure-component isotherms from experimental or simulated data. Alternatively, pyIAST can use numerical quadrature to... Title of program: pyIAST Catalogue Id: AEZA_v1_0 Nature of problem Using ideal adsorbed solution theory (IAST) to predict mixed gas adsorption isotherms from pure-component adsorption isotherm data. Versions of this program held in the CPC repository in Mendeley Data AEZA_v1_0; pyIAST; 10.1016/j.cpc.2015.11.016
DOI: 10.17632/fw63t9h56p
title: Authigenic clays as precursors to carbonate precipitation in saline lakes of Salar de Llamara, Northern Chile

description: In this study, we examined associations between microbial communities, Mg-clay minerals, and carbonates in microbial mat samples from the Puquios of the Salar de Llamara using scanning electron microscopy, energy dispersive X-ray spectroscopy, focused ion beam nanotomography, and transmission electron microscopy. Data shared here correspond to Figs. 4-6, and include the raw data used to create the Supplemental Videos 1 and 2.
DOI: 10.17632/gfpg6hxrvz
title: Optimizing Object Detection in Challenging Environments with Deep Convolutional Neural Networks

description: Object detection in challenging environments, such as low-light, cluttered, or dynamic conditions, remains a critical issue in computer vision. Deep Convolutional Neural Networks (DCNNs) have emerged as powerful tools for addressing these challenges due to their ability to learn hierarchical feature representations. This paper explores the optimization of object detection in such environments by leveraging advanced DCNN architectures, data augmentation techniques, and domain-specific pre-training. We propose an enhanced detection framework that integrates multi-scale feature extraction, transfer learning, and regularization methods to improve robustness against noise, occlusion, and lighting variations. Experimental results demonstrate significant improvements in detection accuracy across various challenging datasets, outperforming traditional methods. This study highlights the potential of DCNNs in real-world applications, such as autonomous driving, surveillance, and robotics, where object detection in difficult conditions is crucial.
DOI: 10.17632/ycw92c3ywy
title: Effects of Gamma(γ)-Irradiation on the Physicochemical Properties and Bioavailability of Iron Oxyhydroxides Coprecipitated with Varying Concentrations of Na-Alginate

description: This study investigated the impacts of γ-radiation at a dose of 25 kGy on the physicochemical properties of a range of wet iron oxyhydroxides (2-line ferrihydrite, lepidocrocite, and goethite) synthesized in the presence of varying concentrations of the polysaccharide Na-alginate (C/Fe ratio of 0, 0.5, 1.0, and 1.5). This dataset contains data that appears in the article and supplementary material in numerical, text-based format. The data includes characterization techniques used to determine the extent of impact of irradiation on the physicochemical properties of the studied samples. The data includes XRD, FTIR-ATR, chemical properties, chemical extractions, specific surface area, mesopore, micropore, and total pore volumes, Zeta-potential and Z-average radius, electron micrographs, chemical composition of the supernatants, and kinetic Fe(III) bioreduction data for the native and post-irradiated iron oxyhydroxides. The data also includes Mössbauer spectroscopy of the native and post-irradiated ferrihydrite samples taken at 77 and 5 K. Our data shows a substantial dissolution of Fe and the concomitant release of Fe(II) and alginate into solution, whereas XRD and FTIR-ATR showed no change in the bulk mineralogy and crystallinity of the studied iron oxyhydroxides. Mössbauer spectroscopy (77 and 5 K), however, showed a change in the crystallinity of the 2-line ferrihydrites studied post irradiation. Moreover, among the minerals studied, the specific surface area and porosity decreased for only the post-irradiated 2-line ferrihydrite coprecipitates with a C/Fe ratio of 0.5 or 1.0. The bioreduction rates of studied minerals and their irradiated counterparts did not significantly differ, whereas the extent of bioreduction of post-irradiated 2-line ferrihydrite coprecipitates (C/Fe 0.5, 1.0, and 1.5) exhibited a significant increase of up to 28%. In contrast, the extent of Fe reduction for select post-irradiated lepidocrocite (C/Fe 0.5) and goethite (C/Fe 1.5) coprecipitates was slightly higher than determined for their corresponding native controls. The observed disparities in bioavailability between the native and irradiated coprecipitates were linked to alterations induced by irradiation to the aggregation and coagulation status of the particles as determined by particle size analyses and visual observations.
DOI: 10.6084/m9.figshare.12520739.v1
title: Daily_flow census tract level

description: Understanding dynamic human mobility changes and spatial interaction patterns at different geographic scales is crucial for monitoring and measuring the impacts of non-pharmaceutical interventions (such as stay-at-home orders) during the pandemic. In this data descriptor, we introduce a regularly updated multiscale dynamic human mobility flow dataset across the United States, with data starting from March 1st, 2020. By analysing millions of anonymous mobile phone users’ visit trajectories to various places provided by SafeGraph, the daily and weekly dynamic origin-to-destination (O-D) population flows are computed, aggregated, and inferred at three geographic scales: census tract, county, and state. There is high correlation between our mobility flow dataset and openly available data sources, which shows the reliability of the produced data. Such a high spatiotemporal resolution human mobility flow dataset at different geographic scales over time may help monitor epidemic spreading dynamics, inform public health policy, and deepen our understanding of human behaviour changes under the unprecedented public health crisis. This up-to-date O-D flow open data can support many other social sensing and transportation applications.
DOI: 10.6084/m9.figshare.19614792.v1
title: Supplementary Material for: Postoperative vitamin profile after receiving a novel peripheral parenteral nutrition solution: Multicenter randomized controlled phase III trial

description: Introduction: We assessed the efficacy and safety of OPF-105, a novel all-in-one peripheral parenteral nutrition (PPN) solution containing multivitamins by the U.S. Food and Drug Administration in 2000 (FDA2000 recommendation). Methods: We conducted a phase III trial administering OPF-105 or BFL (combination of a commercially available PPN solution (BFI) and fat emulsion (ILI)) to patients after gastrointestinal (GI) tract surgery from postoperative day (POD) 1 up to POD14. Until POD7, nutrients were provided only with OPF-105 or BFL. After blood sampling on POD8, oral food intake was permitted. PPN was administered according to the amount of food intake. Results: Efficacy endpoints were assessed in 99 subjects (OPF group: 52; BFL group: 47). The levels of blood proteins and fatty acids in the two groups were similar on POD8. The transition of these mean levels was similar in both groups from POD1 or 2 to POD9 to 15. The mean preoperative blood vitamin levels were within reference intervals (RIs). On POD1 (before administration), the mean levels of most blood vitamins decreased compared to those of the preoperative levels. In the BFL group, the mean blood levels of vitamin B2, B6, pantothenic acid (PA), folic acid (FA), biotin, and C decreased below or near the lower limit of RIs on POD8, and the mean blood levels of vitamin B6 and C remained low from POD9 to 15. In the OPF group, the mean blood levels of vitamins, excluding vitamin K, were within RIs on POD8 and POD9 to 15. The mean levels of blood vitamin K increased over the upper limit of RIs on POD8 but within RIs from POD9 to 15. There was no obvious difference in the incidence of adverse events between the two groups, which are common after GI tract surgeries. Conclusion: Blood vitamin levels were decreased when patients were administered PPN without vitamin supplementation during the first week after surgery. The novel PPN formula containing multivitamins recommended by FDA2000 can be safely administered to postoperative patients to maintain blood vitamin levels.
DOI: 10.17632/jvy95yd2hk
title: Data for: Quantitative analysis of dextran in rat plasma using Q-Orbitrap mass spectrometry based on all ion fragmentation strategy

description: Compared to the ISCID approach, fragmentation efficiency of the in-quadrupole collision was much higher. Only a few low abundance DEX-specific fragments were found at the maximum in-source energy, and many DEX chains remained intact in ion source.
DOI: 10.17632/xt5w25cgdh
title: Data for: Wealth concentration after augmenting the upper tail of the Survey of Consumer Finances

description: These are the Stata do files and Matlab code used to run the analysis. The SCF data are publicly available at https://www.federalreserve.gov/econres/scfindex.htm and Forbes data are at https://www.forbes.com/forbes-400. We used an internal SCF dataset (not the public data) to run the analysis, so we cannot post the exact data. But the code posted here will work with the public data.
DOI: 10.21233/kyeg-2r94
title: Mulgrave Peak pollen surface sample dataset

description: Raw data for the Mulgrave Peak pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.17632/wtsk7yd35s
title: Appendixes for the study on AOD role assignment and timing

description: This data includes three Appendixes for the study on AOD role assignment and timing. 
Appendix. A: Topics and instructions for weekly AOD
Appendix. B: Two knowledge tests
Appendix. C: Learning experience questionnaire (LEQ)
DOI: 10.17632/zt9xgh3j32
title: El HIERRO_Q2

description: This dataset contains a set of interviews performed in La Restinga (El Hierro, Canary Islands) to analyze the recovery of small-scale fishing activity in the area affected by the volcano eruption that occurred in October 2021.
DOI: 10.17632/s7kyzzj333
title: Nanogold Functionalized With Lipoamide-isoDGR: A Simple, Robust and Versatile Nanosystem for αvβ3-Integrin Targeting 

description: Raw data and original images for the article entitled "Nanogold Functionalized With Lipoamide-isoDGR: A Simple, Robust and Versatile Nanosystem for αvβ3-Integrin Targeting " by A. Sacchi et al., Front. Chem., 28 May 2021. DOI: 10.3389/fchem.2021.690357
DOI: 10.17632/xp55pf3krg
title: Employing Acetowhitening to Minimize Mohs Micrographic Surgery Margins in Squamous Cell Carcinoma In Situ

description: This data is representative of the margins identified in our study during which we employed acetowhitening for defining margins in squamous cell carcinoma in situ patients undergoing Mohs micrographic surgery.
DOI: 10.17632/768cwtj8h4
title: Supplemental Data_JDS_“Isolation of extracellular vesicles from byproducts of cheese making by tangential flow filtration yields heterogeneous fractions of nanoparticles”

description: Supplemental tables and figures for the research article titled as "Isolation of extracellular vesicles from byproducts of cheese making by tangential flow filtration yields heterogenous fractions of nanoparticles".
DOI: 10.6084/m9.figshare.19990880.v1
title: Semi-structured interview guide

description: <strong>Semi-structured interview guide</strong>
DOI: 10.17632/9675zcb38d
title: Revista Ciencias y Humanidades

description: The Revista Ciencias y Humanidades (ISSN 2500-784X) is a biannual online publication of the Centro de Estudios en Ciencias y Humanidades at the Corporación Educativa Jorge Robledo. Since 2015, it has promoted the publication of articles that disseminate the results of local and regional research, as well as reviews, essays, translations, and, in general, reflections on topics related to social and human sciences. 

In doing so, it seeks to contribute to the dissemination of knowledge that enables the understanding of various issues in Latin America and other parts of the world, fostering interdisciplinary dialogue and critical thinking. Moreover, it constitutes an open space for researchers, teachers, and students who wish to share their reflections and academic findings, strengthening scientific production and access to knowledge in multiple areas of study.
DOI: 10.6084/m9.figshare.23582856.v1
title: features.csv

description: This dataset contains features extracted from eye-tracking data collected from a Tobii Spectrum eye-tracker during a study conducted with recruiters of computer science majors at STEM career fairs and businesses. Participants were asked to view 30 resumes and decide whether the resumes would move on to the next stage of the hiring process. <br> This study was conducted to understand what areas of the resume recruiters value the most. The results of this study can be found here: https://www.mdpi.com/2504-4990/5/3/38 <br> Abstract When job seekers are unsuccessful in getting a position, they often do not get feedback to inform them on how to develop a better application in the future. Therefore, there is a critical need to understand what qualifications recruiters value in order to help applicants. To address this need, we utilized eye-trackers to measure and record visual data of recruiters screening resumes to gain insight into which Areas of Interest (AOIs) influenced recruiters’ decisions the most. Using just this eye-tracking data, we trained a machine learning classifier to predict whether or not a recruiter would move a resume on to the next level of the hiring process with an AUC of 0.767. We found that features associated with recruiters looking outside the content of a resume were most predictive of their decision as well as total time viewing the resume and time spent on the Experience and Education sections. We hypothesize that this behavior is indicative of the recruiter reflecting on the content of the resume. These initial results show that applicants should focus on designing clear and concise resumes that are easy for recruiters to absorb and think about, with additional attention given to the Experience and Education sections.
DOI: 10.17632/jmwj7jxt6d
title: The transcriptomics and lipidomics datasets

description: The transcriptomics and lipidomics datasets
DOI: 10.25442/hku.24958635.v1
title: Supporting data for "A Holocene Perspective on Land Use Change in the South Caucasus"

description: In conjunction with my MPhil thesis manuscript, this dataset comprises a comprehensive land use model spreadsheet designed to calculate the requisite land area for sustaining a typical community across four distinct periods during the Holocene in the South Caucasus region. Sheets 1 to 4 correspond to these selected periods, while the accompanying sheets delineate the data sources and references integrated into the primary spreadsheets. The agricultural and pastoral datasets specifically encapsulate findings from the literature review on archaeobotanical and zooarchaeological species, intricately linked to the primary land use model table, providing essential insights into dietary proportions during these historical periods.
DOI: 10.17632/rk8yrz34t3
title: Data

description: Data available within the article or its supplementary materials