cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/tr3y82y2jy
title: Socioeconomic Status and Treatment Outcomes for Women with Genito-Pelvic Pain Penetration Disorder: A dataset.

description: Dyspareunia, a common sexual disorder, can be effectively treated through multimodal physiotherapy approaches, including education. However, it's unclear whether socioeconomic factors influence the effectiveness of educational therapies for dyspareunia. This article presents a dataset used in a pilot randomized controlled trial that aimed to investigate any potential correlation between socioeconomic status and the outcomes of a therapeutic educational program for dyspareunia. The study evaluated the impact of the program on 69 women with dyspareunia and measured pain intensity, pain-related outcomes, and sexual functioning over time. Socioeconomic status measurements were collected in February 2022, and the study found no significant correlation between any of the outcomes of the intervention and socioeconomic status measurements. These findings suggest that education is a powerful tool that can improve sexuality outcomes for patients with dyspareunia, regardless of their socioeconomic background.
DOI: 10.17632/x4vzjxkhtv
title: Replication package for "The Passive-Ownership Share Is Double What You Think It Is"

description: "The Passive Ownership Share Is Double What You Think It Is"
 Alex Chinco and Marco Sammon
 Journal of Financial Economics
DOI: 10.17632/xdy27vc3s8
title: Data for: Effect of Hypnotic Suggestion on Cognition and Craving in Smokers

description: Raw data for examining effect of hypnotic suggestion on cognition and craving
DOI: 10.17632/xtk9wsxjjr
title: Indonesian Biodiversity-related Tweets Including Health, Food Security, and Environmental Management Issues for Sentiment Analysis

description: The dataset was gathered using Twitter API services for around 30 particular biodiversity-related keywords with dates ranging from January 2020 to March 2023. This data was then refined by filtering out irrelevant information, including non-Indonesian language content, non-Biodiversity data, spam, and duplicate entries. Independent analysts undertook the task of manually assigning sentiment labels to the dataset. These eighteen individuals consisted of twelve researchers and engineers specializing in natural language processing, of which two held Ph.D. degrees, nine had MSc degrees, and one had a BSc degree. Additionally, four lecturers and two experts in natural language processing, each with a Ph.D. or MSc degree, contributed to the labeling process. The sentiments were divided into three classes, and the principle of majority voting determined the final class label.
DOI: 10.6084/m9.figshare.1010176.v1
title: Cognitive reflection test. Dataset of 2019 participants.

description: This is the dataset used in the article: Campitelli, G., & Gerrans, P. (2014). What does the cognitive reflection test measure? A mathematical modelling approach. Memory and Cognition, 42, 434-447.
DOI: 10.6084/m9.figshare.1326176.v1
title: VCF file for chromsome 22 from 1000 Genomes project, annotated by Variant Effect Predictor

description: I downloaded the VCF file for phase 3 of the 1000 Genomes project and annotated it with VEP.
DOI: 10.6084/m9.figshare.20443173.v2
title: Global mean sea level rise inferred from ocean salinity and temperature changes

description: Barystatic sea level rise caused by the addition of freshwater to the ocean from melting ice can in principle be recorded by a reduction in seawater salinity, but detection of this signal has been hindered by sparse data coverage and the small trends compared to natural variability. Here, we develop an autoregressive machine learning method to estimate salinity changes in the global ocean from 2001-2019 that reduces uncertainties in ocean freshening trends by a factor of four compared to previous estimates. We find that the ocean mass rose by 13,000±3,000 Gt from 2001-2019, implying a barystatic sea level rise of 2.0±0.5 mm/yr. Combined with sea level rise of 1.3±0.1 mm/yr due to ocean thermal expansion, these results suggest that global mean sea level rose by 3.4±0.6 mm/yr from 2001-2019. These results provide an important validation of remote-sensing measurements of ocean mass changes, global sea level rise, and global ice budgets.
DOI: 10.6084/m9.figshare.26028748.v1
title: Data from "Retrospective exploratory evaluation of individual pigs’ behaviour involved in tail biting during rearing and fattening" (Part 1: rearing)

description: Raw data (rearing period) used for the publication “Retrospective explorative evaluation of individual pig tail biting behavior during rearing and fattening”.
DOI: 10.6084/m9.figshare.26587419.v1
title: Additional file 2 of Microbe-Responsive Proteomes During Plant–Microbe Interactions Between Rice Genotypes and the Multifunctional Methylobacterium oryzae CBMB20

description: Additional file 2. Table S1. List of significant differentially abundant proteins among treatment comparison.
DOI: 10.6084/m9.figshare.3187903.v5
title: FOOD resources: ontologies and data

description: This dataset is the outcome of an e-government project named FOOD, FOod in Open Data, which was carried out in the context of a collaboration between the Institute of Cognitive Sciences and Technologies of the Italian National Research Council, the Italian Ministry of Agriculture (MIPAAF) and the Italian Digital Agency (AgID). In particular, we implemented several ontologies for describing protected names of products (wine, pasta, fish, oil, etc.). In addition, we present the process carried out for producing and publishing a LOD dataset containing data extracted from existing Italian policy documents on such products and compliant with the aforementioned ontologies.<br><br>This dataset contains all the excel files, the ontologies, accompanied by their HTML documentation (in English and Italian) and diagrams, and data developed in the context of the Italian project "FOOD: Food in Open Data".<br>
DOI: 10.6084/m9.figshare.807697.v33
title: Raw data of learning in the flight simulator: FAILED

description: this was an attempt at putting the raw data on figshare. Outdated version, we finally put the data in different article for each experiments.
DOI: 10.17632/4kzmgj5jd2
title: Thermo–kinematic constraints on restoration of the eastern Sichuan fold–and–thrust belt, South China

description: This file includes five supporting types of information, including (1) a detailed description of the methodology for the apatite fission-track and (U-Th)/He analyses; (2) detailed AFT age data; (3) detailed AFT Track Length data; (4) Zircon (U-Th)/He data analyzed at the University of Melbourne, and (5) Apatite (U-Th)/He data analyzed at the University of Florida.
DOI: 10.17632/9prcfwnhsr
title: Data for: Children use loyalty and propinquity to predict which people are friends

description: Data on children's friendship predictions based on similarity, propinquity, and loyalty.
DOI: 10.6084/m9.figshare.25304035.v1
title: Input files to run finite element analysis simulations

description: The input files provided can be used to run representative finite element analysis (FEA) simulations using commercial software ABAQUS/Standard, as part of the <i>in silico</i> work of this study.
DOI: 10.6084/m9.figshare.25984198.v3
title: A randomized trial of behavioral interventions yielding sustained reductions in distracted driving

description: Distracted driving is responsible for nearly 1 million crashes each year in the U.S. alone, and a major source of driver distraction is handheld phone use. We conducted a randomized, controlled trial to compare the effectiveness of interventions designed to create sustained reductions in handheld use while driving (NCT04587609). Participants were 1,653 Progressive® Snapshot® usage-based auto insurance customers ages 18-77 who averaged at least 2 minutes/hour of handheld use while driving in the month prior to study solicitation. They were randomly assigned to one of five arms for a 10-week intervention period. Arm 1 (control) got education about the risks of handheld phone use, as did the other arms. Arm 2 got a free phone mount to facilitate handsfree use. Arm 3 got the mount plus a commitment exercise and tips for handsfree use. Arm 4 got the mount, commitment, and tips plus weekly goal gamification and social competition. Arm 5 was the same as Arm 4, plus offered behaviorally designed financial incentives. Post-intervention, participants were monitored until the end of their insurance rating period , 25-65 days more. Outcome differences were measured using fractional logistic regression. Arm 4 participants, who received gamification and competition, reduced their handheld use by 14.2% relative to control (p &lt; .0001); Arm 5 participants, who additionally received financial incentives, reduced their use by 24.8% (p &lt; .0000001). Both groups sustained these reductions until the end of their insurance rating period.
DOI: 10.6084/m9.figshare.29049626.v2
title: ShareData

description: WRF Simulated Radar Composite Reflectivity<b><i>wrfmdbz_time_lat_lon.nc (time * lat * lon) (4 * 379 * 314)</i></b><b>Horizontal Range</b>: 32.5°N to 35.5°N for Latitude and 111.5°E to 114.5°E for Longitude<b>Time Range</b>: 4 times from 0300 to 0600 UTC on 20 July 2021 with an interval of 1-hrWRF Settings<b><i>namelist.input</i></b>Descriptions of namelist parameters for the simulation in this study<b><i>wrfbdy and wrfinput</i></b>The boundary file (wrfbdy_d01) and input files for corresponding domains (wrfinout*) for the simulation in this study<br>
DOI: 10.17632/3sfdcjjkrp
title: Neurological Complications of COVID19 during March 2020 at LCMC Health University Medical Center

description: We reviewed the electronic medical records (EMR) of patients hospitalized during the peak of the pandemic, March 1st through March 31st, to document the type and frequency of neurological problems seen in patients with COVID-19 at presentation to the emergency room. Secondary aims were to determine: 1) the frequency of neurological complaints during the hospital stay; 2) whether the presence of any neurological complaint at presentation or any of the individual types of neurological complaints at admission predicted three separate outcomes: death, length of hospital stay, or the need for intubation; and 3) if the presence of any neurological complaint or any of the individual types of neurological complaints developed during hospital stay predicted the previous three outcomes. Setting: The Louisiana Health Sciences Center – New Orleans Institutional Review Board and the University Medical Center Clinical Research Review Committee approved the study protocol. Data acquisition: We reviewed the electronic medical records (EMR) of patients hospitalized during March (March 1st through March 31st) 2020 at the University Medical Center New Orleans (UMCNO), who tested positive for SARS-CoV-2 during the same hospitalization. The EMR team generated a list of 257 patients admitted for COVID-19. We excluded seven patients because of a negative COVID-19 test result or incomplete medical record documentation. Three neurology residents (DC, MS, DB) reviewed the EMR in detail to capture the relevant medical history, clinical course, and laboratory test results and abstracted data into an electronic data collection spreadsheet. We recorded the presentation or development of the following neurological complaints: headache, syncope, altered mental status, seizure, status epilepticus, and ischemic or hemorrhagic stroke.
DOI: 10.17632/yn2ypdmrck
title: Testate amoebae in an ombrotrophic bog reconcile equivocal palaeoclimate reconstructions for the West Carpathians: data of testate amoebae, pollen and plant macrofossils

description: Primary data from the 7 000 years old peat profile - testate amoebae, plant macrofossils and pollen.
DOI: 10.6084/m9.figshare.21644429.v5
title: EEG Dataset for 'Immediate effects of short-term meditation on sensorimotor rhythm-based brain–computer interface performance'

description: This database includes the de-identified EEG data from 37 healthy individuals who participated in a brain-computer interface (BCI) study. All but one subject underwent 2 sessions of BCI experiments that involved controlling a computer cursor to move in one-dimensional space using their “intent”. EEG data were recorded with 62 electrodes. In addition to the EEG data, behavioral data including the online success rate and results of BCI cursor control are also included. This dataset was collected under support from the National Institutes of Health via grant AT009263 to Dr. Bin He. Correspondence about the dataset: Dr. Bin He, Carnegie Mellon University, Department of Biomedical Engineering, Pittsburgh, PA 15213. E-mail: bhe1@andrew.cmu.edu This dataset has been used and analyzed to study the immediate effect of short meditation on BCI performance. The results are reported in: Kim et al, “Immediate effects of short-term meditation on sensorimotor rhythm-based brain–computer interface performance,” Frontiers in Human Neuroscience, 2022 (https://doi.org/10.3389/fnhum.2022.1019279). Please cite this paper if you use any data included in this dataset.
DOI: 10.6084/m9.figshare.24480862.v2
title: <b>The Role of Stacking Fault Tetrahedra (SFTs) on Void Swelling in Irradiated Copper</b>

description: Raw MEB data. The explanation of the format is in file README.
DOI: 10.17632/3d3x4rdb78
title: Oryza sativa metabolic model iOS2218

description: Genomic metabolic reconstruction of Oryza sativa (rice) consisting of 2218 unique genes, 2565 reactions and 2043 metabolites. This model includes ethylene and auxin biosynthesis pathways and transport.
DOI: 10.17632/5rp9fghzs9
title: Dataset. Changes in water quality between network and households. A study of drinking water quality in rural communities of Cundinamarca, Colombia.

description: This dataset contains comprehensive information related to water quality assessment in rural communities located in the Sabana Centro province of Cundinamarca, Colombia. The data includes various parameters measured during the sampling period between April and November 2022. These parameters encompass physical, chemical, and microbiological aspects of water quality, providing valuable insights into the overall water quality status in the study areas. The dataset comprises measurements taken from multiple sampling points, including household taps, filtered water, and boiled water samples. Each entry in the dataset represents a specific measurement and is associated with its corresponding location within the study communities. The dataset serves as a valuable resource for understanding the variations in water quality and the potential risks associated with water consumption in these rural areas.
DOI: 10.17632/6rcjhvhb5c
title: Data for: Epilepsy and concomitant Obsessive-Compulsive Disorder.

description: Clinical characteristics of 10 patients with Epilepsy and OCD
DOI: 10.17632/7yc4c3pmtp
title: New Jersey's Waste and Recycling Data: 1993-2016

description: Reliable data about collection, volume, tonnage, stream composition, and disposal price have long been described as key components of successful solid waste management planning. Yet, concerns about data quality and quantity have continued to limit even the most sincere, progressive waste management schemes. The paper associated with this dataset examines solid waste management data that has been collected in the US state of New Jersey starting in the 1960s. We present the origins of waste management data collection in New Jersey and trace some of the applications that have been made with the data over time. We compare the New Jersey dataset to waste management data that has been collected in other US states. We then describe our work collecting, cleaning, and preparing for public dissemination and use in a geospatial visualization exercise a digital version of the data spanning approximately 1993 to 2016, before presenting some illustrations of the type of modeling and analysis that researchers or the concerned public would be able to undertake now that the dataset is available. We argue that the New Jersey waste management dataset is much better than most other waste datasets in the US, but despite this fairly high quality, there remain significant gaps which inhibit the ability of planners to design and implement comprehensive waste management plans. That there are limits inherent to the New Jersey dataset suggests, we argue, a ceiling to the usefulness of waste management data as a category of environmental knowledge with possible implications for ‘big’ environmental data more broadly. The dataset includes solid waste tonnage data by county and disposal facility, and recycling tonnage data by municipality, for the years 1993-2016. It also includes a brief essay explaining the types of modeling that could be undertaken using the dataset. Finally, several geospatial data files are included that will allow users to visualize some of the solid waste data using ESRI products. Portions of the project data can also be examined on a web-based platform, NJ Map, at www.njmap2.com/waste
DOI: 10.17632/hrrbdn58mn
title: Germline-specific RNA helicase DDX4 forms cytoplasmic granules in cancer cells and promotes tumor growth

description: Image files for the research title: "Germline-specific RNA helicase DDX4 forms cytoplasmic granules in cancer cells and promotes tumor growth"
DOI: 10.17632/tgc7mbv5xp
title: Dual stop codon suppression in mammalian cells with genomically integrated genetic code expansion machinery

description: Pyrrolysyl-tRNA (PylT)/PylRS pairs from methanogenic archaea, as well as engineered tRNA/aaRS pairs derived from bacteria, are used for genetic code expansion in mammalian cells. Amber suppression is routinely achieved by transient introduction of the components leading to short-term and heterogeneous expression. We demonstrate that stable integration of tRNA/aaRS genes allows for efficient, genetically encoded ncAA incorporation in diverse mammalian cell lines. We extend a general plasmid design and PiggyBac (PB) integration strategy developed for the Methanosarcina mazei PylT/PylRS pair to genomic integration of two tRNA/aaRS pairs of bacterial origin. We further explore suppression of ochre and opal stop codons and parallel incorporation of two distinct ncAAs, both accessible for click chemistry, by dual suppression in stable cell lines. Clonal selection allows for isolation of cells with high dual suppression efficiency and dual site-specific fluorescent labeling of a cell surface receptor using bioorthogonal click chemistries on live mammalian cells.
This dataset contains resource lists, additional figures and primary data related to the associated publication.
DOI: 10.17632/tnwfs2k4np
title: Data for: Measurement and exponential model of ferromagnetic Hysteresis

description: Measurement and modeling of ferromagnetic hysteresis in steel is described.
DOI: 10.6084/m9.figshare.12611453.v1
title: Valores de referencia

description: Valores de referência para avaliacao de IDEs.<br>
DOI: 10.6084/m9.figshare.13011437.v1
title: Dataset; Knowledge, Attitude, and Practices among Medical Students on Stigma and Discrimination towards People Living with HIV/AIDS in Uganda

description: This a data set for the study; <b>Knowledge, Attitude, and Practices among Medical Students on Stigma and Discrimination towards People Living with HIV/AIDS in Uganda</b>
DOI: 10.6084/m9.figshare.15070314.v1
title: Bay Area Mobile Monitoring Multi-pollutant Block Medians

description: This dataset provides census-block level estimates of outdoor air pollutant concentrations averaged over a 32-month period spanning from May 2015 through December 2017. Measurements were taken using mobile monitoring along every street of 13 cities, towns, and urban districts (93 km<sup>2</sup>) distributed through four counties of the San Francisco Bay Area, comprising over 2,100 hours of sampling. Two Google Street View cars equipped with the Aclima mobile platform repeatedly measured city block air quality, providing estimates of outdoor air pollution for a year-2010 population of ~450,000 individuals. This dataset includes measurements of four pollutants:NO (units: ppb)NO2 (units:ppb)BC (black carbon, units: µg/m<sup>3</sup>)UFP (ultrafine particle count, units: #x10<sup>3</sup>/cm<sup>3</sup>)<br>For the purposes of quality control, the set includes:a count of the unique days each block was visited while each of the monitoring instruments were operational (uniqueDays_xx, with xx representing the relevant pollutant), the total visits to the census block (visits_xx), and the cumulative sampling time in seconds (samplingTime_xx).<br>The dataset includes the population data from the US census (TotalPop.x) and populations divided by census-based self-identified race and ethnicity. The categories include:-Hispanic or Latino (HispLat)<br>-Not Hispanic or Latino: White alone or in combination with one or more other races (WhiteNH)-Not Hispanic or Latino: Black or African American alone or in combination with one or more other races (BlackNH)-Not Hispanic or Latino: Asian alone or in combination with one or more other races (AsianNH)-Not Hispanic or Latino: American Indian and Alaska Native alone or in combination with one or more other races (NativeNH)-Not Hispanic or Latino: Native Hawaiian and Other Pacific Islander alone or in combination with one or more other races (PacIsl)-Not Hispanic or Latino: Some Other Race alone or in combination with one or more other races (OtherNH)<br>Consistent with Chambliss et al. 2021, there is a grouping of "OtherRace" which is the sum of the last three categories.<br>Additional methodological details can be found in Chambliss et al. 2021 (https://chemrxiv.org/engage/chemrxiv/article-details/60f731b1880443777ae27104).<br><br>Data are provided as a table that may be joined to GIS data from the US census using the unique "GISJOIN" identifier matching 2010 census block geographic units. Such GIS data is available online from several sources, including https://www.nhgis.org/ <br><br><br><br>
DOI: 10.6084/m9.figshare.1512414.v1
title: brainTumorDataPublic_767-1532.zip

description: The second part of the whole dataset including file numbers from 767 to 1532. The whole dataset contains 3064 slices.
DOI: 10.6084/m9.figshare.17198534.v1
title: Base population data

description: Haplotype data for the base populations of Holstein (baseData_HOL), Red Dairy Cattle (baseData_RDC) and Jersey (baseData_JER)
DOI: 10.6084/m9.figshare.19160681.v1
title: Supplementary Material for: The Clinical Features of Incidentally Diagnosed Urothelial Bladder Cancer: A Retrospective Data Analysis

description: <b><i>Introduction:</i></b> The aim of this study was to evaluate the prevalence and clinical features of incidental bladder cancer (BC) diagnosis, with special emphasis on possible associations between incidental diagnosis and primary disease stage or grade. <b><i>Methods:</i></b> We retrospectively included 501 consecutive patients who underwent transurethral resection of bladder tumor and were diagnosed with primary urothelial carcinoma of the bladder between January 2013 and February 2021 in a university hospital. The type of diagnosis (incidental or nonincidental), patient baseline characteristics and primary stage and grade were studied for interdependencies. <b><i>Results:</i></b> 28.5% of all patients and 19.8% of high grade (HG) BC patients had been diagnosed incidentally, most commonly with ultrasound. Incidental diagnosis was associated with lower primary stage and grade of the disease. Most importantly, on multivariable analysis, which included baseline patient characteristics and type of diagnosis, in the subgroup of HG BC patients, muscle-invasive BC (MIBC) or metastatic disease was three times less likely to be diagnosed incidentally than non-MIBC (odds ratio: 0.31, 95% confidence interval: 0.14–0.71, <i>p</i> = 0.006). <b><i>Conclusions:</i></b> The study is first to demonstrate that incidental diagnosis of HG BC may be surprisingly prevalent and associated with lower rates of muscle invasion or metastatic disease.