cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21494427
title: Dataset_MSE_philtrans from Mapping the mental space of emotional concepts through kinematic measures of decision uncertainty

description: Emotional concepts and their mental representations have been extensively studied. Yet, some ecologically relevant aspects, such as how they are processed in ambiguous contexts (e.g., in relation to other emotional stimuli that share similar characteristics), are incompletely known. We employed a similarity judgement of emotional concepts and manipulated the contextual congruency of the responses along the two main affective dimensions of hedonic valence and physiological activation, respectively. Behavioural and kinematics (mouse-tracking) measures were combined to gather a novel ‘similarity index’ between emotional concepts, to derive topographical maps of their mental representations. Self-report (interoceptive sensibility, positive–negative affectivity, depression) and physiological measures (heart rate variability, HRV) have been collected to explore their possible association with emotional conceptual representation. Results indicate that emotional concepts typically associated with low arousal profit by contextual congruency, with faster responses and reduced uncertainty when contextual ambiguity decreases. The emotional maps recreate two almost orthogonal axes of valence and arousal, and the similarity measure captures the smooth boundaries between emotions. The emotional map of a subgroup of individuals with low positive affectivity reveals a narrower conceptual distribution, with variations in positive emotions and in individuals with reduced arousal (such as those individuals with reduced HRV). Our work introduces a novel methodology to study emotional conceptual representations, bringing the behavioural dynamics of decision-making processes and choice uncertainty into the affective domain.This article is part of the theme issue ‘Concepts in interaction: social engagement and inner experiences’.
DOI: 10.6084/m9.figshare.21494427.v1
title: Dataset_MSE_philtrans from Mapping the mental space of emotional concepts through kinematic measures of decision uncertainty

description: Emotional concepts and their mental representations have been extensively studied. Yet, some ecologically relevant aspects, such as how they are processed in ambiguous contexts (e.g., in relation to other emotional stimuli that share similar characteristics), are incompletely known. We employed a similarity judgement of emotional concepts and manipulated the contextual congruency of the responses along the two main affective dimensions of hedonic valence and physiological activation, respectively. Behavioural and kinematics (mouse-tracking) measures were combined to gather a novel ‘similarity index’ between emotional concepts, to derive topographical maps of their mental representations. Self-report (interoceptive sensibility, positive–negative affectivity, depression) and physiological measures (heart rate variability, HRV) have been collected to explore their possible association with emotional conceptual representation. Results indicate that emotional concepts typically associated with low arousal profit by contextual congruency, with faster responses and reduced uncertainty when contextual ambiguity decreases. The emotional maps recreate two almost orthogonal axes of valence and arousal, and the similarity measure captures the smooth boundaries between emotions. The emotional map of a subgroup of individuals with low positive affectivity reveals a narrower conceptual distribution, with variations in positive emotions and in individuals with reduced arousal (such as those individuals with reduced HRV). Our work introduces a novel methodology to study emotional conceptual representations, bringing the behavioural dynamics of decision-making processes and choice uncertainty into the affective domain.This article is part of the theme issue ‘Concepts in interaction: social engagement and inner experiences’.
DOI: 10.5281/zenodo.5542991
title: Research on Cognition in Software Engineering

description: This dataset includes the primary studies selected for literature review on cognition in software engineering.
DOI: 10.5281/zenodo.5542990
title: Research on Cognition in Software Engineering

description: This dataset includes the primary studies selected for literature review on cognition in software engineering.
DOI: 10.25919/mczm-m396
title: Parkes observations for project P456 semester 2022OCTS_01

description: The Parkes Pulsar Timing Array (PPTA) project has three primary goals: (a) detection of gravitational waves from astronomical sources, (b) establishment of a pulsar timescale, and (c) improvement of our understanding of Solar-system dynamics. We are now in an exciting regime where a signal detected in our (and other data sets) has the form expected for a gravitational wave background. We are therefore now attempting to confirm, or deny, this exciting result. With this proposal we aim to maintain our pre-eminent position in the field. Unlike most observing proposals, this is a continuing proposal for which the observations will continue to improve bounds on ultra-low-frequency gravitational waves until they are finally detected. Continued Parkes observations will remain valuable at least until the first stage of the SKA is able to improve on our sensitivity and observing cadence. Even after the gravitational wave background is detected we will want to continue observations in support of the nascent field of gravitational wave astronomy!
DOI: 10.25919/sw7v-pc02
title: Parkes observations for project P595 semester 2022OCTS_01

description: We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the space missions, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.
DOI: 10.26180/19210632
title: Data for "Correlation-induced magnetism in substrate-supported 2D metal-organic frameworks"

description: Data and scripts used to produce the figures and results in Field, B., Schiffrin, A. & Medhekar, N.V. "Correlation-induced magnetism in substraye-supported 2D metal-organic frameworks". <em>npj Comput Mater</em> <strong>8</strong>, 227 (2022). Further details are contained in the README.txt file within the zip folder. The provided Python code is shared under a GNU GPL license (details within).
DOI: 10.5281/zenodo.5307070
title: Simulated wastewater sequencing data for benchmarking SARS-CoV-2 variant abundance estimation

description: To evaluate the accuracy of variant abundance predictions from wastewater sequencing, we built a collection of benchmarking datasets that resemble real wastewater samples. For each variant (B.1.1.7, B.1.351, B.1.427, B.1.429, P.1) we created a series of 33 benchmarks by simulating sequencing reads from a variant genome, as well as a collection of background (non-variant of concern/interest) sequences, such that the variant abundance ranges from 0.05% to 100%. Analogously, we created a second series of benchmarks, simulating reads only from the Spike gene of each SARS-CoV-2 genome. We refer to the first set of benchmarks as "whole genome" (WG) and to the second set of benchmarks as "S-only". We repeated these simulations at different sequencing depths: 100x and 1000x coverage for the whole genome benchmarks, and 100x, 1000x, and 10,000x coverage for the S-only benchmarks.
DOI: 10.3886/icpsr02372.v2
title: Estimates of the Population of Counties by Age, Sex, Race, and Hispanic Origin [United States]: 1990-1996
title: Version 2

description: These data are estimates of the resident population of the counties in the United States. Part 1 provides county population estimates by five-year age category (ages 0-4, 5-9, etc.), sex, and modified race/Hispanic origin. Data in Part 2 are presented by single-year age (under 1 year, 1 year, ..., 84 years, 85 years and over) and sex. Part 3 contains estimates of the state total and the counties of each state by modified race and Hispanic origin. The estimates are for July 1st of each year during 1990-1996.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels..
description: Datasets: 
 
 DS0: Study-Level Files 
 DS1: Estimates of the Population of Counties by Age, Sex, and Race/Hispanic Origin 
 DS2: Estimates of the Population of Counties by Age and Sex 
 DS3: Estimates of the Population of Counties by Race and Hispanic Origin
description: The codebook is provided as a Portable Document Format (PDF) file. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided through the ICPSR Website on the Internet.
description: All counties in the United States as identified in the 1990 Decennial Census.
DOI: 10.5281/zenodo.5744016
title: Replication package for: Subjective Models of the Macroeconomy: Evidence From Experts and Representative Samples

description: <strong>This repository contains the replication scripts and data of the analyses of the paper: </strong> Andre, P., Pizzinelli, C., Roth, C., & Wohlfart, J. (2022). Subjective Models of the Macroeconomy: Evidence From Experts and Representative Samples. <em>Review of Economic Studies</em>.
DOI: 10.5281/zenodo.3686913
title: Data for "First Principle Calculation on Pressure Dependent Yielding in Solute Strengthened Aluminium Alloys"

description: The dataset contains the DFT results which is the basis for the results and discussions in the related article, "First principle calculations of pressure dependent yielding in solute strengthened aluminium alloys". The details of the DFT calculations are written in the article. The two different file-name conventions are explained below. OUTCAR_Al_R1_HSP<br> OUTCAR_X_HSP_POS Al-files represent the pure aluminium models, showing the dislocation energies at various hydrostatic pressures. X (Cu, Si, Mg) represents the solute specie in the full model showing the configurational energy. R1 is the radius of the relaxed region. HSP represents the superimposed hydrostatic pressure, which is given by (-560+HSP*80) MPa. POS is the atomic index in the OUTCAR files, where the solute is substituted.
DOI: 10.5281/zenodo.3862980
title: Supplementary Material of SLR

description: This package is the supplementary material of our SLR protocol regarding software productivity measurement methods.
DOI: 10.15473/1818910
title: Reference Model 3 Scaled Geometry (RM3: Wave Point Absorber)

description: Contains the Reference Model 3 (RM3) scaled scale geometry files of the Wave Point Absorber, developed by the Reference Model Project (RMP). These scaled geometry files are saved as SolidWorks assembly, IGS, and STEP files, and require a CAD program to view. The scaled RM3 device was tested at the Scripps Institution of Oceanography at the University of California at San Diego wave tank, details of which are described in the included test report. The scale of the geometries included in this submission are at a 1:33 scale compared to the full scale geometry. This data was generated upon completion of the project on September 30, 2014. The Reference Model Project (RMP), sponsored by the U.S. Department of Energy (DOE), was a partnered effort to develop open-source MHK point designs as reference models (RMs) to benchmark MHK technology performance and costs, and an open-source methodology for design and analysis of MHK technologies, including models for estimating their capital costs, operational costs, and levelized costs of energy. The point designs also served as open-source test articles for university researchers and commercial technology developers. The RMP project team, led by Sandia National Laboratories (SNL), included a partnership between DOE, three national laboratories, including the National Renewable Energy Laboratory (NREL), Pacific Northwest National Laboratory (PNNL), and Oak Ridge National Laboratory (ORNL), the Applied Research Laboratory of Penn State University, and Re Vision Consulting. Reference Model 3 (RM3) is a wave point absorber, also referred to as a wave power buoy, that was designed for a reference site located off the shore of Eureka in Humboldt County, California. The design of the device consists of a surface float that translates (oscillates) with wave motion relative to a vertical column spar buoy, which connects to a subsurface reaction plate. This two-body point absorber converts wave energy into electrical power predominately from the device?s heave oscillation induced by incident waves; the float is designed to oscillate up and down the vertical shaft up to 4 m. The bottom of the reaction plate is about 35 m below the water surface. The device is targeted for deployment in water depths of 40 m to 100 m. The point absorber is also connected to a mooring system to keep the floating device in position.
DOI: 10.5281/zenodo.6545553
title: pollution data

description: NO2 and O3 dataset in the PRD from 2006 to 2019
DOI: 10.6084/m9.figshare.21524622
title: Supplementary Material for: Meta-Analysis on Utility of Bronchoscopy in Addition to Computed Tomography Thorax in the Investigation of Lung Cancer in Patients with Haemoptysis

description: <b><i>Background:</i></b> In patients with haemoptysis, many healthcare systems support bronchoscopy regardless of computed tomography (CT) findings. <b><i>Objective:</i></b> This meta-analysis aimed to address whether a normal CT alone is sufficient to out-rule lung cancer in patients with haemoptysis. <b><i>Methods:</i></b> A search was performed of the following databases: EBSCO (Medline), PubMed, Academic Search Complete, CINAHL, Cochrane Library, and Embase. Meta-Disc 1.4 and RevMan software were used to test for heterogeneity, risk of bias, and to summarize the test performance characteristics using forest plots and summary receiver operating characteristic (SROC) curves. SPSS was used to compare the diagnostic accuracy of CT and bronchoscopy. <b><i>Results:</i></b> A total of 14 studies (2,960 patients) were included. The pooled sensitivities for detection of lung cancer using CT scan and bronchoscopy were 0.99 (95% CI: 0.97–1.00) and 0.84 (95% CI: 0.78–0.88), respectively. The sensitivity of CT was higher than that of bronchoscopy (<i>p</i> &lt; 0.001). The pooled specificities for CT scan and bronchoscopy were 0.99 (95% CI: 0.99–1.00) and 1.00 (95% CI: 0.99–1.00), respectively. Of 2,960 patients, 257 had lung cancer (8.7%) at initial investigation. 254 of these had a CT thorax, and the CT scan was false negative in 4/255 (1.6%), with bronchoscopy only identifying one cancer with a normal CT (0.4%). <b><i>Conclusion:</i></b> CT scan showed a higher diagnostic accuracy than bronchoscopy. This study indicated that bronchoscopy offers an insignificant additional value in the investigation of lung cancer in patients with haemoptysis and a negative CT scan.
DOI: 10.34740/kaggle/ds/2440949
title: ubuntu
DOI: 10.5281/zenodo.3267184
title: Automotive CAN bus data: An Example Dataset from the AEGIS Big Data Project

description: Here you find an example research data dataset for the automotive demonstrator within the "AEGIS - Advanced Big Data Value Chain for Public Safety and Personal Security" big data project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 732189. The time series data has been collected during trips conducted by three drivers driving the same vehicle in Austria. The dataset contains 20Hz sampled CAN bus data from a passenger vehicle, e.g. WheelSpeed FL (speed of the front left wheel), SteerAngle (steering wheel angle), Role, Pitch, and accelerometer values per direction. GPS data from the vehicle (see signals 'Latitude_Vehicle' and 'Longitude_Vehicle' in h5 group 'Math') and GPS data from the IMU device (see signals 'Latitude_IMU', 'Longitude_IMU' and 'Time_IMU' in h5 group 'Math') are included. However, as it had to be exported with single-precision, we lost some precision for those GPS values. For data analysis we use R and R Studio (https://www.rstudio.com/) and the library h5. e.g. check file with R code: library(h5) f &lt;- h5file("file path/20181113_Driver1_Trip1.hdf") summary(f["CAN/Yawrate1"][,]) summary(f["Math/Latitude_IMU"][,]) h5close(f)
DOI: 10.5281/zenodo.6369874
title: Dataset for AutoPruner's Replication Package

description: Dataset for AutoPruner's Replication Package
DOI: 10.5281/zenodo.7244086
title: The ARRIVE Essential 10: author checklist – Gastroprotective effect of Zinnia elegans extracts against ethanol-Induced induced gastric mucosal damage through downregulation of TLR4 and inflammatory cytokines.

description: The ARRIVE Essential 10: author checklist – Gastroprotective effect of Zinnia elegans extracts against ethanol-Induced induced gastric mucosal damage through downregulation of TLR4 and inflammatory cytokines.
DOI: 10.5281/zenodo.6941292
title: [Supplementary material] Online Testing of RESTful APIs: Promises and Challenges

description: This is the supplementary material of the paper entitled <em>Online Testing of RESTful APIs: Promises and Challenges</em>. <strong>NOTE: An online easier-to-navigate version of this supplementary material is available at https://anonymous.4open.science/r/fse2022-supplementary-material-1172.</strong>
DOI: 10.5281/zenodo.3676088
title: RAM Legacy Stock Assessment Database v4.491

description: RAM Legacy Stock Assessment Database version 4.491
DOI: 10.5281/zenodo.6014246
title: Medical Education Journal Data and Supplemental Files (2000 - 2020)

description: This is the supplemental data, figures, and tables for <em>The Voices of Medical Education Science: Describing the Landscape</em>. This also includes the author thesaurus and institution thesaurus with supporting read me files. <strong>Abstract</strong> Introduction Medical education has been described as a dynamic and growing field, driven in part by its unique body of scholarship. The voices of authors who publish medical education literature have a powerful impact on the discourses of the community. While there have been numerous studies looking at aspects of this literature, there has been no comprehensive view of recent publications. Method The authors conducted a bibliometric analysis of all articles published in 24 medical education journals published between 2000-2020 to identify article characteristics, with an emphasis on author gender, geographic location, and institutional affiliation. This study replicates and greatly expands on two previous investigations by examining all articles published in these core medical education journals. Results The journals published 37,263 articles with the most articles published in 2020 (n=3,957, 10.7%) and least in 2000 (n=711, 1.9%) representing a 456.5% increase. The articles were authored by 139,325 authors of which 62,708 were unique. Men were more prevalent across all authorship positions (n=62,828; 55.7%) than women (n=49,975; 44.3%). Authors listed 154 country affiliations with the United States (n=42,236, 40.4%), United Kingdom (n=12,967, 12.4%), and Canada (n=10,481, 10.0%) most represented. Ninety-three countries (60.4%) were low- or middle-income countries accounting for 9,684 (9.3%) author positions. Few articles were written by multinational teams (n=3,765; 16.2%). Authors listed affiliations with 4,372 unique institutions. Across all author positions, 48,189 authors (46.1%) were affiliated with institutions ranked globally as Top 200 institutions by the Times Higher Education ranking. Discussion There is a relative imbalance of author voices in medical education. If the field values a diversity of perspectives, there is considerable opportunity for improvement.
DOI: 10.57745/2ru0o7
title: Data_LepiBats_detail.tab

description: :unav
DOI: 10.57745/4j116i
title: ReadMe_LepiBats.tab

description: :unav
DOI: 10.57745/mg7mrl
title: Data_LepiBats_synth.tab

description: :unav
DOI: 10.6084/m9.figshare.21456450
title: Christensen_Supplemental Data table 1.docx

description: Supplemental Data table 1 from Christensen et al.
DOI: 10.6084/m9.figshare.21456450.v1
title: Christensen_Supplemental Data table 1.docx

description: Supplemental Data table 1 from Christensen et al.
DOI: 10.5281/zenodo.7244124
title: High resolution cropland agreement map (30 m) circa 2020

description: Accurate and precise measurements of global cropland extent are needed for monitoring the sustainability of agriculture at all scales. Recent advancement in remote sensing and land cover mapping methods have greatly increased the ability to estimate cropland area distribution and trends. Here the FAO presents a map of cropland agreement produced by consolidating information at pixel level from six high-resolutions maps for <em>circa </em>2020. The following six high resolution layers were used: ESRI 10 meter LU/LC, FROM-GLC, GLAD, GLC-FCS30, Globeland30 and Worldcover. Two bands are included in the dataset: Simple agreement (values between 1 and 6) Detailed agreement (values between 1 and 63) The map, developed in the Google Earth Engine platform, combines the 6 land cover/cropland layers to show their cropland agreement on pixel level at a spatial resolution of 30 meters. The simple agreement has pixel values that range from 1 (only 1 dataset classifies as cropland) to 6 (all datasets agree on presence of cropland). Pixels with a value of 0 indicate pixels where all datasets agree on absence of cropland. The second band includes a detailed agreement, showing which combination of the 6 datasets classify a pixel as cropland. The overview table (<em>DetailedAgreement_LookupTable.xlsx</em>) shows what the pixel values of this detailed agreement (from 1 to 63) correspond to. The dataset has been uploaded in 16 tiles, in the preview below and in the file "A<em>CroplandAgreement_30m_Tiles.png</em>" the extent of each tile can be found. For more information on FAO statistics on land cover and land use: FAO. 2022. <em>Land use statistics and indicators. Global, regional and country trends, 2000–2020</em>. FAOSTAT Analytical Brief, no. 48. Rome. https://doi.org/10.4060/cc0963en FAO. 2021. <em>Land cover statistics. Global, regional and country trends, 2000–2019</em>. FAOSTAT Analytical Brief Series No. 37. Rome.