cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1591213.v5
title: Impact of Sunlight and Soil Moisture on Plant Abundance and Surrounding Ecosystems

description: This experiment was conducted over the span of two days: October 13th 2015 and October 20th 2015 in the Danby Woodlot and the Danby Grassland at York University Keele Campus from approximately: 2:50-5:00pm both days, with group members Houra, Alexandera and Kathy. The weather was approximately 18°C on both days. On the first day the experiment was conducted it was severely overcast with a lot of cloud coverage while on the second day there was some cloud coverage and light showers towards the end. All the grassland replicates were collected by Houra and I, in order to keep data/measurements reliable and consistent. The overall purpose of this lab was to develop collaboration skills in field ecology & data collection, but specifically to collect data to find a relationship between sunlight and soil moisture and how they affect plant abundance (and ecosystems) respectively. A total of 160 trials were conducted over the span of two separate days, 80 in both the grassland and woodlot. A random number generator app was used to ensure random sampling. A random number of steps were taken in a a specific direction and the 1x1 meter quadrat was placed on the ground. The total number of plants were recorded, along with the moisture levels of the soil, and exposure of sunlight. The moisture of the soil was tested with a paper towel wrapped around a popsicle stick and being pushed into the ground, and was given a number from 0-2. The amount of sunlight the quadrat was being exposed to was given a number from 0-3. Both size classes are further explained in the meta data. This procedure was repeated 79 more times for both the grasslands and woodlot, 80 replicates for grassland and woodlot collected in each field day. It was concluded that due to the poor weather conditions: cloudy and rainy) the exposure to sunlight may not have been accurately depicted.
DOI: 10.6084/m9.figshare.27247065.v1
title: AI and Human Judges DATA 171024.csv

description: This pilot study empirically investigates the ability of Generative Artificial Intelligence (GenAI) to mimic human judges’ sentencing decisions in criminal cases by comparing sentences generated by Large Language Models (LLMs) with those handed down by human judges.
DOI: 10.6084/m9.figshare.4590808.v1
title: OLAAP_munka (1).sav

description: This is the data base for the development of the Work Addiction Risk Test Revised.
DOI: 10.15131/shef.data.22202923.v2
title: SEHI (Secondary Electron Hyperspectral Imaging) dataset of Metal alloy and Carbon film (Palladium Silver Carbon complex film)

description: This data repository can be used as benchmark data for the purpose of material characterization, particularly for investigating nanostructures and chemical properties in materials using SEHI (Secondary Electron Hyperspectral Imaging), as well as research in Scanning Electron Microscopy and Secondary Electron (SE) spectroscopy, and advanced image processing and data analysis (computer vision and machine learning) techniques.<i>This work is supported by the UK EPSRC EP/V012126/1 the grant ‘‘SEE MORE, MAKE MORE: Secondary Electron Energy Measurement Optimisation for Reliable Manufacturing of Key Materials’’. Contact: SM3 (SEE MORE MAKE MORE) project PI, Professor Cornelia Rodenburg, c.rodenburg@shefield.ac.uk.</i><i>We also</i><i> </i><i>acknowledge the support from Insigneo Institute for In Silico Medicine in Sheffield.</i>The complex metal alloy (palladium silver, abbreviated as Pd-Ag) and carbon films were printed by University of Liverpool, and a Helios Nanolab G3 UC microscope was used to acquire the raw image stacks [1]. One can find more information from [1] regarding the sample preparation, and experimental conditions. This dataset contains four processed SEHI stacks (cropped and aligned) collected from different regions of interest, and the associated metadata.[1] Abrams, K.J., Dapor, M., Stehling, N., Azzolini, M., Kyle, S.J., Schäfer, J., Quade, A., Mika, F., Kratky, S., Pokorna, Z., et al., 2019. Making sense of complex carbon and metal/carbon systems by secondary electron hyperspectral imaging. Advanced Science 6, 1900719.
DOI: 10.17632/gwkgwry552
title: RNA analysis of tape strips to rule out melanoma in lesions clinically assessed as cutaneous malignant melanoma

description: Online Supplement
DOI: 10.17632/r2hhshbx2y
title: Human Activity Recognition Dataset with Saudi Cultural Activities

description: This dataset provides a comprehensive collection of human activity recognition data, including daily, workplace, and cultural-specific activities commonly observed in Saudi Arabian society. Activities range from general motions like walking, running, and stretching to culturally unique practices such as wearing a shmag, using miswak, and performing salah. The dataset is designed to support applications in healthcare, smart environments, workplace ergonomics, and cultural AI systems. Each activity is annotated with clear descriptions, making it valuable for research in activity recognition, human-computer interaction, and context-aware systems.
DOI: 10.6084/m9.figshare.24151860.v1
title: Chinese Offshore Wind Turbine Dataset 2022

description: Chinese Offshore Wind Turbine Dataset 2022
DOI: 10.6084/m9.figshare.27203523.v2
title: A Promising Endeavor Against Human Cytomegalovirus Predominant Epitopes Based Recombinant Subunit Vaccine RH<i>Ec</i><sup>IE1/pp65/pp150</sup>

description: Human cytomegalovirus (HCMV) is widespread in the population, typically remaining latent. However, it can cause severe morbidity and mortality in transplant patients and immunodeficient individuals. Currently, there is no approved vaccine against HCMV. This study used immunoinformatics methods to predict the predominant T and B-cell epitopes of three key HCMV proteins, including phosphoprotein 65 (pp65), pp150, and immediate-early protein 1 (IE1). Subsequently, we synthesized a recombinant subunit vaccine (RH<i>Ec</i><sup>IE1/pp65/pp150</sup>) from <i>Escherichia coli</i>, comprising RH<i>Ec</i>-1 and RH<i>Ec</i>-2. We observed that the RH<i>Ec</i><sup>IE1/pp65/pp150</sup> vaccine exhibited high safety and immunogenicity in mice, enhancing a significant upregulation of CD80, CD86, CD40, and MHCII on dendritic cells and macrophages. Additionally, the vaccine activated innate immune responses through the NF-κB signaling pathway, triggering CD4<sup>+</sup> and CD8<sup>+</sup>T cells to secrete tumor necrosis factor (TNF)-α, interferon (IFN)-γ, and interleukin (IL)-2, directing the T-cell response toward Th1. Moreover, it stimulated CD4<sup>+</sup>T cells to secrete IL-4, IL-6, and IL-10, promoting B-cell immunity. Furthermore, the RH<i>Ec</i><sup>IE1/pp65/pp150</sup> vaccine induced the formation of abundant memory cells and high levels of neutralizing antibody titers, conducive to providing long-lasting protection. Taken together, the RH<i>Ec</i><sup>IE1/pp65/pp150</sup> vaccine is a promising endeavor against HCMV, and these findings contribute valuable insights to the development of HCMV vaccine candidates.
DOI: 10.6084/m9.figshare.27687990.v1
title: Supplementary Material for: Effectiveness of the Music Therapy in Dementia: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

description: Introduction: Studies have not comprehensively examined key variables in music therapy (MT) interventions such as exposure time, session length, and frequency, particularly in relation to patients with dementia. This study investigated the effects of MT on cognitive function, depression, anxiety, behavior, and quality of life in individuals with dementia. 
Methods: Relevant articles published before April 23, 2023, were sourced from five databases, including PubMed, Web of Science, and Embase. Only randomized controlled trials (RCTs) comparing the effects of MT and standard care on the cognitive function, depression levels, anxiety levels, behaviors, and quality of life of individuals with dementia were included. The Reviewers independently extracted data and assessed the studies’ methodological quality. Heterogeneity was quantifed using Q statistics from 2 tests and I2 statistics. Outcome analysis was conducted using a random-effects model, and the standardized mean difference (SMD), mean difference, and 95% confidence interval (CI) were calculated. 
Results: A total of 23 RCTs were included. Compared with the control group, patients who received MT had higher cognitive function, lower levels of depression, and lower levels of anxiety. Meta-regression analysis revealed that the total MT period, total number of MT sessions, weekly MT frequency, MT exposure time, and length of each MT session were associated with an improvement in cognitive function. However, no significant difference was observed in behaviors or quality of life.
Conclusions: MT yielded improved cognitive function in individuals with dementia if the intervention spans at least 12 weeks, has at least 16 sessions, and has at least 8 hours of therapy.
DOI: 10.17632/mxp89v7pfv
title: Calibration and validation data to build an advection-dispersion model for routing suspended sediment down the river network

description: The flow and sediment concentration data from three monitoring sites in the Manawatu River, used for calibration and validation of an advection-dispersion model for routing suspended sediment through the river network, can be found here. The data includes the date, flow discharge, unit flow, depth, total sediment concentration, and sediment concentration for each size fraction class at each monitoring site.
DOI: 10.17632/zns2ppnxj4
title: Distinctiveness and Priority in Memory 2020 Dataset
DOI: 10.6084/m9.figshare.12887249.v1
title: Ignorance and Prejudice in Software Fairness

description: Machine learning software can be unfair when making human-related decisions, having prejudices over certain groups of people. Existing work primarily focuses on proposing fairness metrics and presenting fairness improvement approaches. It remains unclear how key aspect of any machine learning system, such as feature set and training data, affect fairness. This paper presents results from a comprehensive study that addresses this problem. We find that extending the feature set plays a significant role in improving fairness (with an average increase rate of 38%). Importantly, and contrary to widely-held beliefs that greater fairness often corresponds to lower accuracy, our findings reveal that extending the feature set improves both accuracy and fairness. Perhaps also surprisingly, we find that extending training data does not improve fairness. Our results suggest such data enhancement can further reduce fairness when feature sets are insufficient; an important cautionary finding for practising software engineers.
DOI: 10.6084/m9.figshare.21534840.v1
title: GiudicelliPezzi_etal_data

description: VCF datasets and FASTSIMCOAL models used in Giudicelli et al paper.
DOI: 10.6084/m9.figshare.22496791.v1
title: Underlying data for Figure 1, 2 and Extended Data Figure 2 in Moore, et al., (2023). Long-term organic carbon preservation enhanced by iron and manganese.

description: This is the underlying data for Figure 1, 2 and Extended Data Figure 2 in the following study: Moore, O. W., L. Curti, C. Woulds, J. A. Bradley, P. Babakhani, B. J. W. Mills, W. B. Homoky, K.-Q. Xiao, A. W. Bray, B. J. Fisher, M. Kazemian, B. Kaulich, A. W. Dale and C. L. Peacock (2023). "Long-term organic carbon preservation enhanced by iron and manganese." <em>Nature</em>.
DOI: 10.6084/m9.figshare.24143013.v5
title: Results of GOTM-ECOSMO-E2E-Polar in Hornsund (SPM scenario)

description: Results of numerical experiments designed using the Polar version of the biogeochemical ECOSystem Model (ECOSMO-E2E-Polar version) coupled with the General Ocean Turbulence Model (GOTM). The model was implemented at 20 stations located within the newly ice-free areas released due to the retreat of marine-terminating glaciers in Hornsund. The simulations were run from the beginning of 2005 to the end of 2009. This is a run with inorganic SPM input parametrized based on long-term monitoring in Hornsund (https://dataportal.igf.edu.pl/group/longhorn).
DOI: 10.6084/m9.figshare.25778289.v1
title: High-Altitude Object Detection Dataset

description: To address the issue of missing high-altitude projectile datasets, a dataset for small target high-altitude projectiles was collected and created.
DOI: 10.17632/hbvh6p95pm
title: A STUDY ON THE HETEROGENEITY IN DISTRIBUTION OF MSMEs IN INDIAN ECONOMY

description: Micro, Small and Medium Enterprises (MSMEs) have shown a spirited performance in employment generation, use of traditional skills and technologies and ensuring balanced economic growth by reducing regional disparities., The paper is an attempt to analyse how far the MSMEs have been able to reduce regional disparities with the help of key parameters namely number of units, employment, original value of investment, market value of investment and gross output. The study is divided into two parts- analyzing the rural-urban and sector wise distribution of MSMEs. The study is based on secondary data which has been collected from the census report on the MSMEs with the base year 2006-07. The study results show significant heterogeneity among the MSMEs in both rural-urban and sector-wise distribution.
The percentage of MSMEs situated in the urban areas is considerably high though the MSMEs in rural areas are found to be more employment intensive and productive. Regarding sector wise distribution, micro enterprises play the dominant role in terms of number and employment generation as the number of small and medium enterprises is significantly low. This heterogeneity in the MSME sector is a major reason for poor economic development in rural and backward areas. The Govt. must ensure proper infrastructural development, technological upgradation, assistance for domestic marketing and export and special facilities for the MSMEs in backward areas to encourage more and more MSME entrepreneurs to set up their unit in the backward areas.
DOI: 10.6084/m9.figshare.21212912.v1
title: Supplementary Material for: Knowledge and Attitudes about Privacy and Secondary Data Use among African-Americans Using Direct-to-Consumer Genetic Testing

description: <b><i>Introduction:</i></b> The rapidly expanding direct-to-consumer genetic testing (DTC GT) market is one area where narratives of underrepresented populations have not been explored extensively. This study describes African-American consumers’ personal experiences with and perceptions about DTC GT and explores similarities and differences between African-Americans and an earlier cohort of mostly European American consumers. <b><i>Methods:</i></b> Twenty semi-structured, qualitative interviews were held with individuals who self-identified as Black/African-American and completed DTC GT between February 2017 and February 2020. Interviews were transcribed and consensus-coded, using inductive content analysis. <b><i>Results:</i></b> Participants generally had positive regard for DTC GT. When considering secondary uses of their results or samples, most participants were aware this was a possibility but had little concrete knowledge about company practices. When prompted about potential uses, participants were generally comfortable with research uses but had mixed outlooks on other nonresearch uses such as law enforcement, cloning, and product development. Most participants expressed that consent should be required for any secondary use, with the option to opt out. The most common suggestion for companies was to improve transparency. Compared to European American participants, African-American participants expressed more trust in DTC GT companies compared to healthcare providers, more concerns about law enforcement uses of data, and a stronger expression of community considerations. <b><i>Discussion/Conclusion:</i></b> This study found that African-American consumers of DTC GT had a positive outlook about genetic testing and were open to research and some nonresearch uses, provided that they were able to give informed consent. Participants in this study had little knowledge of company practices regarding secondary uses. Compared to an earlier cohort of European American participants, African-American participants expressed more concerns about medical and law enforcement communities’ use of data and more reference to community engagement.
DOI: 10.6084/m9.figshare.21689366.v1
title: Magliano etal. Ecological Applications 2023

description: Data from Figures presented in Magliano et al. 2023.
DOI: 10.6084/m9.figshare.12158646.v1
title: Chemical table file of optimized structures.

description: A compressed SDF file containing all optimized structures in the chemical table file format. Additional property fields include SMILES, Enthalpy, FreeEnergy, SCFEnergy, AtomCharges, RotConstants, VibFreqs, and IRIntensity. The title field of each molecule gives the name of the corresponding log file in the log directory.
DOI: 10.6084/m9.figshare.20444454.v1
title: Search Engine Manipulation: SEO to Spread Kremlin-Aligned Disinformation. Think Tank Backlink Network and Keyphrase Network dataset.

description: <strong>README</strong><br> These datasets and R script are to generate the visualizations used in "Search Engine Manipulation: SEO to Spread Kremlin-Aligned Disinformation"<br> <br> <strong>DATA</strong><br> <br> Data were collected from the Ahrefs (ahrefs.com) dashboard on Feb 21, 2022. Any re-use of this data must cite Ahrefs as the source.<br> We provide two data files: <br> 1) ora_rd.csv (referring domain network extracted from Ahrefs)<br> 2) ora_kw.csv (keyword network extracted from Ahrefs)<br> ora_rd.csv contains:<br> 'source' : (think tank domain) 'target' : (backlinking domain) 'weight' : (total # of backlinks) 'network' : (ru_tt_rd = Russia, us_tt_rd = US, ds_rd = Pseudo) <br> ora_kw contains:<br> `keyword`: top key phrases `outlet`: countains the think tank domain - maps to source in ora_rd <strong>R Script</strong><br> This script generates visuals of top backlinkers and backlink recipients in the think tank network. It also constructs and visualizes the minimum overlap network for referring domains present in the paper.<br> This code was created using R version 4.1.1 (2021-08-10) -- "Kick Things".<br> To run this code, you'll first need to install the libraries at the beginning of the script.<br> Once that is done, open the script and modify the path to the input file (ora_rd.csv): `rd_data_el` and modify the path to the output file: `output_dir`.<br> The script can then be run line-by-line in Rstudio or by typing `Rscript seo_visuals.R` in the terminal.<br> <strong>Citation</strong><br> How to cite (will be updated upon acceptance):<br> ```<br> Williams, E. M. & Carley, M. C., (2022). Search Engine Manipulation: SEO to <br> Spread Kremlin-Aligned Disinfor-mation. Harvard Kennedy School (HKS) <br> Misinformation Review, Volume #(Issue #).<br> Received: Month Xth, 2022. Accepted: Month Xth, 20XX. Published: Month Xth, 2022.<br> ``` <br>
DOI: 10.6084/m9.figshare.21106831.v2
title: 8-_ jc.2022-01305-Re-revised manuscript-supplemental material.pdf

description: Purpose: In patients with SARS-CoV-2 infection, diabetes is associated with poor COVID-19 prognosis. However, case detection strategy is divergent and reported prevalence varies from 5 to 35%. We examined in how far the choice of screening tools impacts the detection rate of dysglycemia and in consequence the estimation of diagnosis-associated risk for moderate (mo) or severe (s) COVID-19. Methods: Non-ICU in-patients with COVID-19 were screened systematically at admission for diabetes (D) and prediabetes (PreD) by HbA1c (A), random blood glucose (B) and known history (C) during 01/NOV/2020-08/MAR/2021. Dysglycemia rate and impact on COVID-19 outcome were analyzed in two screening strategies (ABC vs. BC). Results: 578/601 (96.2%) of admitted patients were screened and analyzed. In ABC, prevalence of D and PreD was 38.2 and 37.5%, respectively. D was significantly associated with an increased risk for more severe COVID-19 (aOR(moCOVID-19): 2.14, 95%CI: 1.22-3.75 and aOR(sCOVID-19): 2.83, 95%CI:1.54-5.19). Patients with PreD also presented more often with more severe COVID-19 than those with normoglycemia (aOR(moCOVID-19): 1.76, 95%CI: 1.04-2.97 and aOR(sCOVID-19): 2.41, 95%CI: 1.37-4.23). Screening with BC only failed to identify 96% of PreD (206/217) and 26.2% of D diagnosis (58/221) and missed association of dysglycemia and COVID-19 severity. Conclusions: Pandemic conditions may hamper dysglycemia detection rate and in consequence the awareness of individual patient risk for COVID-19 severity. A systematic diabetes screening including HbA1c reduces underdiagnosis of previously unknown or new onset dysglycemia, enhances the quality of risk estimation and access of patients at risk to a diabetes-specific interventi
DOI: 10.6084/m9.figshare.26357041.v1
title: Data1

description: We present a novel ZnO/Au/Ti/p-GaN self-poweredultraviolet photodetector (UVPD) featuring a sandwich structure of asymmetric interdigitated electrodes. This unique design skillfully integrates the conventional vertically-structured ZnO/p-GaN UVPD, asymmetric Au/ZnO/Au UVPD, and asymmetric Ti/p-GaN/Ti UVPD into a single device, which effectively enhances the separation and collection efficiency of photogenerated carriers while reducing their composite depletion through the coupling of the built-in electric fields of the Schottky junctions (ZnO/Au, p-GaN/Ti) and the heterojunction (ZnO/p-GaN), creating a synergistic enhancement in performance. At 0 bias, while achieving a fast response speed (0.98/0.63 ms), the ZnO/Au/Ti/p-GaN UVPD also shows improvements in light-to-dark ratios by 7.78, 15.79, and 20.0 times, and in responsivity peaks by 2.7, 4.12, and 152.84 times, compared to the ZnO/p-GaN UVPD, the MSM ZnO UVPD, and the MSM GaN UVPD, respectively. Our proposedsandwich structure of asymmetric interdigitated electrodes offers significant performance enhancement and a simple preparation process, and it can also be applied to other semiconductor heterojunctions, demonstrating wide practical application potential. This work provides a valuable strategy for the development of high-performance and low-cost self-powered UV photodetectors.<br>
DOI: 10.25442/hku.20261184.v1
title: Capturing the moments of living in Hong Kong’s public housing

description: This database is one of the project outcomes of "Capturing the moments of living in Hong Kong’s public housing: A record and analysis of the use of home space with three-dimensional techniques", carried out in 2021-2022. The project team assisted 10 households living in public rental housing estates in Hong Kong to capture the 3D images of their homes, by 3D scanning devices with Lidar function. This project recorded and analyzed the use of home space in public housing, empowered residents to make the record on their own, and encouraged the public's further reflections on the formation of home space. <br> This database includes the original polygon mesh files of the 3D image scanning exercises. The public housing estates visited include: Ap Lei Chau Estate (1 unit), Kai Ching Estate (1 unit), Lei Muk Shue Estate (1 unit), Lei Tung Estate (1 unit), and Wah Fu Estate (5 units). <br> More information here: <sub>https://www.home3d.hku.hk/</sub> <br> Please contact us at home3d@hku.hk or wahfuhku@gmail.com if you need further information.