cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-854471
title: The touch test: attitudes towards and experiences of touch 2020

description: The Touch Test was commissioned by Wellcome Collection and BBC Radio 4 and research carried out by Goldsmiths, University of London. This survey investigated attitudes towards and experiences of touch - a relatively understudied domain compared with other sensory modalities. A large participant sample was recruited, comprising a broad demographic across age, gender, nationality, ethnicity, and employment status. Our key research questions addressed particular gaps in existing knowledge, and included 1) What are people's attitudes and experiences towards touch and how do they vary across different groups? 2) How does touch relate to health and wellbeing throughout adulthood? 3) What is the relationship between touch and the type, size, closeness, and frequency of contacts in a respondent’s social network? 4) What is the topography of social touch (where is it / is it not appropriate to touch someone) and how does this vary between demographic groups? 5) How does touch relate to sleep, and how might this relationship contribute to health and wellbeing? 6) How does touch contribute to medical experiences (e.g. willingness to have interactions with healthcare professionals; perceptions of outcomes of medical treatments)? 7) How open are we to using technology as a tool to provide or augment our tactile experiences (e.g. for medical treatments; for long-distance relationships)?
DOI: 10.5281/zenodo.10837481
title: The magnetic recording stability of vortex state irregularly shaped natural iron oxides: raw data, processing and micromagnetic modelling results

description: Magnetic minerals, especially those existing within the vortex domain state, serve as the primary natural archives of ancient magnetic fields. In this investigation, we introduce an innovative method to examine the magnetic stability of remanence-bearing minerals. This method involves integrating Synchrotron-based Ptychographic X-ray Computed Nano-tomography (PXCT) with micromagnetic modelling. PXCT, a tomographic technique, is a non-destructive resource, which enables its application to valuable (unique) samples. When applied to a microscopic sample of weakly magnetic carbonate rock, PXCT revealed numerous nanoscopic grains of magnetite/maghemite, each exhibiting diverse morphologies, alongside various non-magnetic minerals present in the rock matrix. Subsequently, micromagnetic models were employed to predict the properties of these grains and investigate the potential impacts of irregular morphologies.
DOI: 10.5281/zenodo.12165386
title: IuliaMargineanGitHub/Projecting-Heat-Stress-Vulnerable-Populations-at-Intra-Urban-Scales: Projecting heat stress vulnerable populations at intra-urban scales

description: This repository provides the data and scripts necessary for full reproduction of results, as well as example datasets that were used for data generation and analysis in the manuscript Marginean et al., "High-resolution Modelling and Projecting Local Dynamics of Differential Vulnerability to Urban Heat Stress".

The folders in this repository contain the following:



The input datasets:



shares of educational attainment in 2012 and 2020, by sex, age group and census tract

internal migration by sex, age group and census tracts

decadal mortality and fertility, by sex, age group, scenario, and census tract



Projected decadal data (2012 to 2050) by sex, age group, scenario and census tract

Scripts for generating high resolution projections for three Shared Socioeconomic Pathways (SSPs): one script for SSP 2 projections and one scripts for SSP 1 and SSP 3 projections

Example input data to reconstruct the projections in SSP 1, 2 and 3 for females ages 25 to 64
DOI: 10.5281/zenodo.13694959
title: Predictability Limit of the 2021 Pacific Northwest Heatwave from Deep-Learning Sensitivity Analysis

description: The attached two datasets are the optimized inputs used to analyze predictability limits in the paper Predictability Limit of the 2021 Pacific Northwest Heatwave from Deep-Learning Sensitivity Analysis. Specifically, the datasets correspond to the inputs used to produce the blue (global) and green (regional) loss curves in Figure S2. They are NetCDF files of dimensions batch (1), time (2), latitude (181), longitude (360), pressure levels (13), and may be run as Graphcast model inputs to initiate a forecast at 00 UTC 20 June 2021. Both datasets have been systematically perturbed to reduce the Graphcast model's loss function, which minimizes forecast eror as described in the manuscript. The global input seeks to reduce the loss over the entire globe, while the regional input seeks only to minimize error within the Pacific Northwest (42N to 60N and 130W to 110W). The optimized inputs result in a reduction of the loss by approximately 85% (global) and 93% (regional) when compared to a control Graphcast forecast without perturbations.
DOI: 10.5281/zenodo.4656049
title: US Births Dataset

description: This dataset contains a single very long daily time series representing the number of births in US from 01/01/1969 to 31/12/1988. It was extracted from R mosaicData package. The length of this time series is 7305.
description: {"references": ["Pruim, R., Kaplan, D., Horton, N., 2020. mosaicData: project mosaic data sets. R package version 0.18.0. https://CRAN.R-project.org/package=mosaicData"]}
DOI: 10.6069/h5s75dcg
title: Synthetic test data set for DEER spectroscopy based on T4 lysozyme
DOI: 10.6084/m9.figshare.26935333
title: Supplementary Material for: Development of a diagnostic model for pancreatic ductal adenocarcinoma using machine learning and blood-based miRNAs

description: Introduction: Pancreatic ductal adenocarcinoma (PDAC) has the lowest survival rate among all major cancers due to a lack of symptoms in early stages, early detection tools, and optimal therapies for late-stage patients. Thus, an early diagnosis of PDAC is critical. Recently, circulating miRNAs have been reported to be altered in PDAC. They are promising biomarkers because of stability in the blood, ease of non-invasive detection, and convenient screening methods. This study aims to use blood-based miRNA biomarkers and various analysis methods in the development of a machine-learning (ML) model for PDAC. Methods: Blood-based miRNAs associated with PDAC were collected from open sources. miRNA sequences, targeted genes, and involved pathways were used to construct a set of descriptors for an ML model. Results: Bioinformatics analysis revealed that most genes in pancreatic cancer and insulin signaling pathways were targeted by the PDAC-related miRNAs. The best performing ML model with the Random Forest classifier was able to achieve an accuracy of 88.4%. Model evaluations of an independent PDAC-associated miRNAs test set had 100% accuracy while non-cancer miRNAs had 52.4% accuracy, indicating specificity to PDAC. Conclusions: Our results suggest an ML model developed using blood-based miRNA biomarkers’ target gene, pathway, and sequence features could be implicated in PDAC diagnostics.
DOI: 10.6084/m9.figshare.26977117
title: Supplementary Material for: HLTF/SERPINE1 Axis Plays a Crucial Pro-oncogenic Role in the Progression from Cervical Precancerous Lesions to Cervical Carcinoma in Vitro

description: Objectives: Cervical carcinoma (CC) is prevalent among women worldwide with increasing risk. Finding effective methods for treating CC is of utmost importance. The aim of this study was to investigate the effect of SERPINE1 on the progression of cervical precancerous lesions to CC.
Design: Transcriptome sequencing and in vitro cell line studies.
Participants/Materials: Cervical precancerous lesions and CC samples and human cervical epithelial immortalized cell line H8, human CC cell lines HeLa and CaSki.
Setting and Methods: Next-generation sequencing was applied to identify 100 differentially expressed genes (DEGs) from cervical precancerous lesions and CC samples. With the application of the Search Tool for the Retrieval of Interacting Genes (STRING) database, we carried out the protein-protein interaction (PPI) network analysis, thus screening out serine protease inhibitor clade E member 1 (SERPINE1) with significant upregulation in CC cells. The helicase-like transcription factor (HLTF) was predicted as the upstream transcription factor using Human Transcription Factor Database (HumanTFDB). The chromatin immunoprecipitation (ChIP) experiment was conducted to validate the interaction between SERPINE1 and HLTF. The immunohistochemistry (IHC) was employed to determine the expression of SERPINE1 and HLTF in CC tissues. Following the upregulation or downregulation of SERPINE1 and HLTF, the Real-Time Quantitative Reverse Transcription Polymerase Chain Reaction (qRT-PCR) was carried out to assess mRNA expression levels of SERPINE1 and HLTF in cells. Cell viability, migration, and invasion were evaluated using MTT assay, cell scratch assay, and Transwell assay, respectively. Western blot (WB) analysis was conducted to assess changes in the expression levels of matrix metalloproteinases and proteins related to epithelial-mesenchymal transition (EMT).
Results: The ChIP experiment confirmed the interaction between HLTF and SERPINE1. HLTF and SERPINE1 were upregulated in CC tissues and cells, and silencing SERPINE1 inhibited the EMT process and viability, migration, and invasion of CC cells. However, overexpression of SERPINE1 in CC cells showed the opposite trend. Rescue experiments demonstrated that silencing HLTF repressed CC cell viability, migration, and invasion, which could be restored by overexpressing SERPINE1.
Limitations: The effect of the HLTF/SERPINE1 axis on CC malignant progression has not been confirmed by in vivo experiments.
Conclusion: HLTF transcriptionally activates SERPINE1, promoting the progression from cervical precancerous lesions to CC.
DOI: 10.6141/tw-srda-ah030008-1
title: Survey on Employment Equality at the Workplace, 2015

description: Survey on Gender Equality at the Workplace
DOI: 10.1285/i24212113v3i1p57
title: Testing the phrase completion response option format in a Sociopolitical Control Scale for Youth

description: Measurement of psychological empowerment among youth has relied on scales that use a Likert-type format, which has been subject to critique. Phrase completion is a technique that has been introduced as an alternative to the Likert-type format. This study tested the application of a phrase completion response option format in a measure of psychological empowerment, the abbreviated Sociopolitical Control Scale for Youth, with data from a sample of high school students (n = 202) from an economically disadvantaged community located in the northeastern United States. Prior to testing the new measure, we evaluated the validity of the abbreviated version of the original scale using the Likert-type format with data from a separate sample of high school students (n = 977) from the same geographic community. Results supported the validity of both formats of the scale; however, the performance of scores from the phrase completion format was superior to the Likert-type format. Findings imply that the phrase completion format, which heretofore has not appeared in the empowerment literature, may be considered a useful form in which to construct instruments that are intended to measure empowerment among youth.
DOI: 10.20351/29sg20181116
title: ORCA Cruise, RV Sarmiento de Gamboa

description: ORCA Cruise (29SG20181116) carried out on the Research Vessel Sarmiento de Gamboa in 2018
DOI: 10.26131/irsa124
title: NEOWISE 2-Band Post-Cryo Single Exposure (L1b) Source Table

description: The NEOWISE Post-Cryo Single-exposure Source Database contains 7,337,642,955 measurements of positions and brightness information, uncertainties, time of observation and assorted quality flags made on the individual WISE 7.7s (W1 and W2) Single-exposure images. Because WISE scanned every point on the sky multiple times, the Single-exposure Database contains multiple, independent measurements of objects on the sky. Entries in the Single-exposure Source Database include detections of real astrophysical objects, as well as spurious detections of low SNR noise excursions, transient events such as hot pixels, charged particle strikes and satellite streaks, and image artifacts light from bright sources including the moon. Many of the unreliable detections are flagged in the Single-exposure Database, but they have not been filtered out as they were for the All-Sky Release Source Catalog. Therefore, the Database must be used with caution. Users are strongly encouraged to read the Cautionary Notes before using the Database. This dataset or service is made available by the Infrared Science Archive (IRSA) at IPAC, which is operated by the California Institute of Technology under contract with the National Aeronautics and Space Administration.
DOI: 10.3886/e166661v1
title: Data and Code for: Credit, attention, and externalities in the adoption of energy efficient technologies by low-income household

description: We study an energy efficient charcoal cookstove in an experiment with 1,000 households in Nairobi. We estimate a 39% reduction in charcoal spending, which matches engineering estimates, generating a 295% annual return. Despite fuel savings of $237 over the stove’s two-year lifespan—and $295 in emissions reductions—households are only willing to pay $12. Drawing attention to energy savings does not increase demand. However, a loan more than doubles WTP: credit constraints prevent adoption of privately optimal technologies. Energy efficient technologies could drive sustainable development by slowing greenhouse emissions while saving households money.
description: Low-income charcoal stove users in Nairobi, Kenya.
description: computer-assisted personal interview (CAPI); face-to-face interview; other; telephone interview; All surveys were administered with adults residing in Nairobi, Kenya at their homes or workplaces. <br><br>Visit 1 surveys took place between April 17 and May 14, 2019. <br><br>Visit 2 surveys took place between May 17 and July 1, 2019. <br><br>Visit 3 surveys took place between June 17 and July 26, 2019. <br><br>The long-term endline survey took place between June 15 and July 2, 2020. <br><br>SMS data was collected between April 24 and July 31, 2019 and again between June 24 and October 4, 2020.<br><br>
DOI: 10.3886/icpsr01174.v1
title: Why Does Bank Performance Vary Across States?
title: Version 1

description: One purpose of this research is to suggest how the Riegle-Neal Interstate Banking and Branching Efficiency Act of 1994 might alter the future structure of the United States banking industry by illustrating how branching restrictions have affected banking markets and performance in the past. The research also examines whether loan loss provisions taken by money center banks and other large banks in the 1980s contributed to the increased dispersion of state-level bank earnings in those years.
description: Datasets: 
 
 DS1: Dataset
description: (1) The files submitted are MA97DATA.NW, a data file, and MA97PGNW.EXE, which unzips to a series of SAS programs and a README file. (2) These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.
DOI: 10.5066/p9rqmrev
title: Data Release for Additional Period and Site Class Data for the 2018 National Seismic Hazard Model for the Conterminous United States (ver. 1.1, February 2020)

description: The updated 2018 National Seismic Hazard Model includes new ground motion models, aleatory uncertainty, and soil amplification factors for the central and eastern U.S. and incorporates basin depths from local seismic velocity models in four western U.S. (WUS) urban areas. These additions allow us, for the first time, to calculate probabilistic seismic hazard curves for an expanded set of spectral periods (0.01 s to 10 s) and site classes (VS30 = 150 m/s to 1,500 m/s) for the conterminous U.S. (COUS), as well as account for amplification of long-period ground motions in deep sedimentary basins in the Los Angeles, San Francisco Bay, Salt Lake City, and Seattle regions. Ground motion data for 2, 5, and 10 percent probability of exceedance in 50 years have been derived from these hazard curves.Two sets of data are available: (1) 0.05 by 0.05 degree gridded hazard data for the COUS and (2) 0.01 by 0.01 degree gridded hazard data for WUS basins.
DOI: 10.5281/zenodo.13327275
title: Model data for "Melt sensitivity of irreversible retreat of Pine Island Glacier"

description: Model inputs and outputs for the experiments in Reed et al., 2024 "Melt sensitivity of irreversible retreat of Pine Island Glacier".
DOI: 10.5281/zenodo.4654722
title: Sunspot Daily Dataset (without Missing Values)

description: This dataset contains a single very long daily time series of sunspot numbers from 1818-01-08 to 2020-05-31. The original dataset contains missing values and they were replaced by carrying forward the corresponding last observations (LOCF method).
description: {"references": ["Sunspot, 2015. Sunspot number version 2.0: new data and conventions. URL http://www.sidc.be/silso/newdataset"]}
DOI: 10.6084/m9.figshare.27173883
title: Supplementary Material for: Incorporating ALBI Grade with Geriatric Nutritional Risk Index Enhances Hepatocellular Carcinoma Risk Stratification

description: Introduction
Despite its prognostic impact, nutritional status has not yet been integrated into the assessment of hepatocellular carcinoma (HCC). This study investigated the association between geriatric nutritional risk index (GNRI) and overall survival (OS) in patients with HCC using a nationwide registry.
Methods 
Data from the Korea Central Cancer Registry between 2008 and 2019 were analyzed. We explored the integration of the GNRI with the albumin–bilirubin (ALBI) grade for prognostic stratification. Restricted cubic spline regression was used to assess the association between GNRI and survival, stratified by ALBI grade.
Results 
Among the 16,416 treatment-naïve HCC patients, the ALBI grades were distributed as follows: grade 1, 7,409; grade 2, 7,445; and grade 3, 1,562. Patients were categorized according to Barcelona Clinic Liver Cancer (BCLC) stages: 5,132 stage 0/A, 2,608 stage B, 5,289 stage C, and 968 stage D. The median OS for all patients was 3.1 years (95% CI: 3.0–3.2) and significantly differed with the inclusion of ALBI grade and GNRI (P &lt; 0.001). The effect of combining ALBI grade and GNRI was further evaluated for each BCLC stage. This risk stratification showed a significant correlation with OS for each BCLC stage (all P &lt; 0.001), except for stage D (P = 0.082). Multivariate analysis revealed that a combination of favorable ALBI grade and high GNRI score was independently associated with decreased mortality risk. 
Conclusion 
The GNRI was significantly correlated with OS across ALBI grades and BCLC stages. Integrating the GNRI into the ALBI grade may enhance risk stratification for patients with HCC.
DOI: 10.6084/m9.figshare.3382393
title: "I wasn't sure it was normal to watch it"

description: These papers make up the final report of a quantitative and qualitative piece of research for the NSPCC and Children's Commissioner for England, regarding young people's feelings about and experiences of online pornography. You can access either the full report or a version prepared for young people (age 13+). These versions were revised in May, 2017.
DOI: 10.6084/m9.figshare.4220517
title: Young Adult White Faces with Manipulated Versions

description: This image set contains images of 20 male and 20 female young adult (mean age = 19.3) white students from a university in Onatrio, Canada. The images have been aligned on pupils and delineated using WebMorph.org. All images are JPGs at 1350x1800 pixels and have masked and unmasked versions. The files averages.txt and transforms.txt are included to explain the steps in WebMorph that construct the manipulated versions.<br><br>Image Types:<br>unmanipulated<br>feminised (50%)<br>masculinised (50%)<br>symmetric (100%)<br>symmetric (50%)<br>asymmetric (50%)<br>cariacatured/distinctive (50%)<br>anti-caricatured/averaged (50%)<br>
DOI: 10.6141/tw-srda-ah030009-1
title: Survey on Employment Equality at the Workplace, 2016

description: Survey on Gender Equality at the Workplace
DOI: 10.6141/tw-srda-ah030010-1
title: Survey on Employment Equality at the Workplace, 2017

description: Survey on Gender Equality at the Workplace
DOI: 10.6141/tw-srda-ah030011-1
title: Survey on Employment Equality at the Workplace, 2018

description: Survey on Gender Equality at the Workplace
DOI: 10.25574/cdc.254
title: Chandra X-ray Observatory Chandra Data Collection for request #254

description: Chandra Data Collection for request #254
description: DOI updated to include the publication's DOI on 2024-10-17-17:30:00
DOI: 10.6141/tw-srda-ah030012-1
title: Survey on Employment Equality at the Workplace, 2019

description: Survey on Gender Equality at the Workplace
DOI: 10.15139/s3/kr1j0m
title: MLE Senegal Data Documentation
DOI: 10.17909/sx19-8852
title: NIRISS/SOSS observations of GJ 9827d
DOI: 10.18128/d060.v2.6
title: American Time Use Survey Data Extract Builder: Version 2.6

description: The American Time Use Survey Data Extract Builder (ATUS-X) is a part of IPUMS Time Use, dedicated to making time use data easier for researchers to use. The American Time Use Survey (ATUS) ATUS is an ongoing annual time diary study, started in 2003, that is funded by the U.S. Bureau of Labor Statistics (BLS) and fielded by the U.S. Census Bureau. It provides detailed information about the activities in which respondents engage together with extensive information about the characteristics of those respondents and other members of their households. The ATUS is a general purpose survey that already has been used to study a diverse range of topics, including parent time with children, gender differences in time devoted to household work, household production over the life cycle and its implications for the well-being of elderly Americans, hours of paid work, and the effects of shift work on time for other activities, to name just a few. ATUS-X is an online data access system and available free of charge to registered users at www.ipums.org/timeuse.
DOI: 10.25318/1410028801-eng
title:  Employment by class of worker, monthly, seasonally adjusted and unadjusted, last 5 months

description: Number of employees by class of worker and sex, last 5 months. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.