cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/t93rx4vcv5
title: Data for the Paper titled "Beyond Rankings: A Multidimensional Analysis of Factors Shaping Student Achievement in the PISA 2022 Dataset"

description: The Programme for International Student Assessment (PISA) 2022 included approximately 690,000 students from 81 countries and economies, representing an estimated 29 million students worldwide. As in previous cycles, the assessments focused on three core subjects: reading, mathematics, and science. The primary data used in this dataset is sourced from the PISA 2022 assessment.

In the PISA 2022 dataset, individual student scores for mathematics, reading, and science are not directly reported as fixed values. Instead, the dataset provides ten plausible values for each subject. These plausible values are derived using advanced statistical techniques that aim to estimate the range of possible outcomes for a student’s performance, acknowledging the inherent uncertainty and complexity associated with large-scale international assessments. To facilitate analysis, a single representative score for each student in each subject was calculated by taking the arithmetic mean of the ten plausible values. This process provides a straightforward and interpretable estimate of each student’s performance. However, it is important to note that plausible values are intended to reflect a range of possibilities rather than a definitive score, emphasizing the probabilistic nature of the results. This method is consistent with established practices in analysing PISA data and ensures uniformity in reporting and interpretation.

To enhance the analysis, new variables were created based on the dataset, and some variables were modified to include them in the study. The dataset comprises 78 variables in total. Among these, 3 are used as dependent variables to measure student performance, and 48 are used as independent variables representing diverse factors grouped into six models. The first group of variables pertains to the home environment, including 9 variables. The second group focuses on students’ perceptions of school and includes 8 variables. The third group examines characteristics of schools and contains 12 variables. The fourth group addresses socioeconomic features of schools and consists of 6 variables. The fifth group pertains to teacher-related factors, encompassing 7 variables. The final group considers homework and additional instruction, comprising 6 variables.

In addition to these variables, five control variables were incorporated into each model. The first two control variables are gender and membership in the OECD, represented as dummy variables obtained from the PISA 2022 dataset. The other three control variables capture national political and economic characteristics that may influence student achievement. These include the Freedom in the World Index for 2024, GDP per capita at purchasing power parity rates for 2022 (measured in current international 1000 dollars), and the Government Effectiveness Index for 2023. Data for these variables were sourced from FreedomHouse and WorldBank.
DOI: 10.6084/m9.figshare.11368668.v1
title: Australian Senate Simulated Election Results 2010 - 2019

description: Datasets measuring the proportionality of Australian Senate election results from 2010, 2013, 2016, and 2019, using the Gallagher Index. The Gallagher Index is also used to measure the implications of the D'Hondt method, with and without boundaries, and the national remainder method, on the proportionality of each election.
DOI: 10.6084/m9.figshare.23733450.v1
title: nanodrop

description: concentration
DOI: 10.17632/bkh24p7h6d
title: Predictors of Quality of Life among Elderly Residents in Rural and Urban Areas of Surakarta City, Central Java Province, Indonesia: A Cross-Sectional Survey Design

description: Purpose of the study to identify the relationship between potential factors based on the ICF model and QOL (Quality of Life) in elderly people who are living in rural and urban areas.
DOI: 10.6084/m9.figshare.17252489.v1
title: Benthic habitat map of the marine ecosystems in the Mexican Caribbean: Cabo Catoche - Xcalak

description: The map represents the spatial distribution of benthic habitats in shallow waters of the Mexican Mesoamerican Barrier Reef System, from Cabo Catoche to Xcalak, in an area of 1001 km<sup>2</sup>, with an average maximum depth of 18 m. The resulting map defined 50 classes generated from the union of benthic cover and submarine relief maps, estimated from the processing of 23 WorldView-2 satellite images (2009-2015), and with information from in-situ bathymetric soundings. The information is presented in shapefile format. This product is the result of the ArrecifeSAM project, coordinated by CONABIO as part of the Marine-Coastal Information and Analysis System (SIMAR) (https://simar.conabio.gob.mx).<br><br><b>Acknowledgement:</b>The authors acknowledge the logistical and technical support provided by National Financial Trust Fund for Biodiversity and the National Commission for the Knowledge and Use of Biodiversity (CONABIO).
DOI: 10.6084/m9.figshare.24271297.v1
title: Figure 3B. Placement of new MAGs in the global lucinid symbiont tree reveals patchiness in the distribution of nitrogen fixation genes, even within species clades - Alignment

description: Concatenated alignment of 120 conserved bacterial marker genes from the MAGs was obtained with the GTDB-Tk v2.1.1 (Genome Taxonomy Database Toolkit) classify workflow, including MAGs published in this work and in Osvatic et al. 2023 ISMEJ.
DOI: 10.6084/m9.figshare.24551992.v2
title: NEST - UMAR Energy Demand and User Practice Data

description: Measurement data for the UMAR building at NEST. The dataset consists of 27 measurement points with a temporal resolution of 1 minute. The data has been recorded over the duration of one year (July 2019 to July 2023). Metadata for each measurement point is stored in a separate file on this repository.
DOI: 10.6084/m9.figshare.24559522.v3
title: Digital cultural heritage museums

description: <b>Towards a Digital Cultural Heritage Trail in Poland</b>Although the interest in digital cultural heritage is growing globally, there is still great room for improvement regarding the promotion, education, documentation, and preservation of digital hardware and software artefacts. The number of institutions (museums) displaying old digital hardware is growing in Poland. Many of them are grassroots projects. They are the work of private collectors and enthusiasts of retrocomputing and retrogaming. There is no consolidated list of digital cultural heritage museums in Poland because of their dispersed and individualized nature. The article characterizes selected digital heritage museums. The materials were collected during study visits. Structured interviews were conducted at the Museum of Electronics in Kraków using a survey questionnaire. The interviews show that visitors to the museum are interested not only in what old digital equipment looked like and how it worked but also in what is inside the devices. A certain niche for exhibitors has been found. Using an official ministry list of museums and the State Museum Register, complemented with references and online resources, the author compiled a list and map of digital cultural heritage museums in Poland. Museum mapping revealed a potential market niche. No digital heritage museum was found in south-eastern Poland that would be discussed in the media. The list and the map can be a foundation for future work to build an even more com-prehensive list of spots belonging to the Tourist Trail of Digital Cultural Heritage in Poland.
DOI: 10.6084/m9.figshare.28138013.v1
title: Bowles & Bowles_Ozark Springs_Tables Figshare.xlsx

description: Habitat and water quality information for 85 springs located in the Ozarks
DOI: 10.6084/m9.figshare.4877438.v2
title: Cloud Workloads

description: Workload traces including the Uniform, Normal, Left-Skewed, Right-Skewed, HPC2N and NASA in both homogeneous and heterogeneous cloud environment.
DOI: 10.17632/hnzcr3w46f
title: Raw_Data_Segal_et_al

description: These data is supportive of the research article entitled 'The role of context on responding to an alcohol-predictive cue in female and male rats. This dataset contains the raw behavioural data that was used to produce figures, tables, and analyses in the main article and the supplementary material.
DOI: 10.17632/hpbddm6k5p
title: The germline integrates mitokine signaling, Shen et al.

description: RNA-sequencing data comparing ucr-2.3(uth252); rgef-1p::Q40::YFP mutant (AGD3265) to rgef-1p::Q40::YFP (AGD3263)
DOI: 10.17632/v6ksv75gk3
title: Alacranes Reef and Bajos del Norte reef ecological assesment

description: Data represent cover and fish abundance and biomass data obtanied through field survey techniques using SCUBA. fish_data.csv stores fish abundance and biomass data invertebrate_algae_data.csv stores invertebrates and macroalgae cover data
DOI: 10.6084/m9.figshare.25231592.v1
title: data1.xlsx

description: The raw data
DOI: 10.6084/m9.figshare.28879733.v1
title: 3D-GloBFP: the first global three-dimensional building footprint dataset (PART Ⅰ, grid ID: 0-400)

description: The 3D Global Building Footprints (3D-GloBFP) dataset is the first global-scale building height dataset at the individual building footprint level for the year 2020, generated through the integration of multisource Earth Observation (EO) data and the extreme gradient boosting (XGBoost) model. The reliability and accuracy of 3D-GloBFP have been validated across 33 subregions, achieving R² values ranging from 0.66 to 0.96 and root-mean-square errors (RMSEs) between 1.9 m and 14.6 m. The dataset provides footprint-scale building height maps, divided into spatial grid-based tiles, each stored as an individual ShapeFile (.shp) containing estimated building heights (in meters) in attribute tables.
DOI: 10.6084/m9.figshare.1614951.v1
title: JCAMP file example
DOI: 10.6084/m9.figshare.28425821.v1
title: Software used

description: Software used
DOI: 10.17632/c2fkkypbff
title: Extreme water levels within Greater Bay Area

description: This dataset offers comprehensive estimates of 200-year and 300-year return levels for extreme high-water events along the Lingdingyang-Humen Inlet-Shiziyang tidal channel system in the Greater Bay Area, derived through both Generalized Extreme Value (GEV) and max-stable modeling approaches. It encompasses four key hydrodynamic components: extreme measured water level (EMWL), maximum storm surge (MSS), and extreme skew surge (ESS), with coverage extending to both gauged and ungauged monitoring stations. Furthermore, the dataset incorporates optimized return level estimates of extreme measured water level (EMWL) that account for the evolving morphodynamic processes in the study area.
DOI: 10.6084/m9.figshare.12649805.v1
title: FIXME - Intrinsic Quality Analysis of OpenStreetMap using Topic Models

description: Data sets used in the analysis of OpenStreetMap data quality issues, as indicated by OSM Contributors themselves, using the FIXME Feature Tag. Text Mining and Knowledge Exposition was done using Topic Models and Latent Labelled Dirichlet Allocation (L-LDA) algorithm. The data sets are taken from OSM North America and Australia and the text corpus processed in a format that is suitable to be used for L-LDA.
DOI: 10.6084/m9.figshare.19314422.v1
title: Roofpedia Weights

description: Weights and sample dataset for running roofpedia predictions
DOI: 10.6084/m9.figshare.7946192.v2
title: How to edit a manuscript on GitHub with Manubot

description: The screen recording shows how to edit a manuscript via GitHub using Manubot. Manubot is the the manuscript bot for automated scholarly publishing. It is an open source software project for writing scholarly documents using GitHub. Learn more at https://manubot.org.This screen recording is used as a supporting data video for the manuscript describing Manubot at https://greenelab.github.io/meta-review/.This latest version of this Figshare item is available at https://doi.org/10.6084/m9.figshare.7946192 or shortened to https://doi.org/c4fz.
DOI: 10.6084/m9.figshare.20510016.v1
title: Human-in-the-loop labelled TissueNet data (Cellpose 2.0)

description: Training and testing images from TissueNet used in human-in-the-loop performance quantifications for Cellpose 2.0 (https://www.biorxiv.org/content/10.1101/2022.04.01.486764v1). <br> Labels are saved as _seg.npy files (see notebook for more details on how to use them for training: https://colab.research.google.com/github/MouseLand/cellpose/blob/main/notebooks/run_cellpose_2.ipynb). <br> See the license for the TissueNet images shared, please use their link for downloading the full dataset: https://datasets.deepcell.org/. And if you use TissueNet in your work cite their paper: https://www.nature.com/articles/s41587-021-01094-0.
DOI: 10.6084/m9.figshare.8016383.v2
title: Datasets, Surveys, and Endline Report for Grandmothers as Change Agents in Sierra Leone

description: Baseline and Endline surveys, datasets, and Endline Report from the Grandmothers Inclusive Approach Project in Sierra Leone
DOI: 10.17632/5kwtxjrbzg
title: Digital Competencies Mapping Dataset of Pre-service Teachers in Indonesia

description: This dataset describes Indonesian pre-service teachers' perception of five Digital competency areas: 1) data and information literacy, 2) communication and collaboration, 3) digital content creation, 4) safety, and 5) troubleshooting. The dataset was generated from 23 education and teacher training faculties across departments at Muhammadiyah Universities in 14 provinces of Indonesia in June 2021. An online questionnaire using the Digital competency Framework-based Questionnaire (DFBQ) was distributed to collect data on demographic information (6 items), area 1 (5 items), area 2 (7 items), area 3 (6 items), area 4 (9 items) and area 5 (9 items). A total of 1400 students in their first to fifth years were recruited using a random sampling technique. The dataset from GoogleForms of a Likert scale questionnaire was then converted to Excel. Rasch model analysis was used to map the respondents’ digital competencies skills. The dataset was cleaned using Winsteps 5.2.3 software before analyzing it using the Rasch Model analysis. The uploaded datasets have the.xlsx extension. This dataset can help teacher-training institutions design effective programs to improve pre-service teachers' digital competencies. Future researchers can compare this dataset with more rigorous data from other countries.
DOI: 10.6084/m9.figshare.23164502.v1
title: Kelp et al. (2023) Journal of Applied Physiology Data Files

description: Data files used to create Tables 1-3 and Figures 2-4 in Kelp et al.(2023) Journal of Applied Physiology
DOI: 10.6084/m9.figshare.28448354.v1
title: Thematic Map Creation for Jacutinga, RS: A Practical GIS Exercise for Topographic Analysis

description: This work presents the creation of thematic maps for the municipality of Jacutinga, RS, using the Geographic Information System (GIS) ArcGIS Pro, focusing on topographic and climatic analysis. It is a self-directed practical exercise, not intended for exhaustive scientific analysis, which explores the generation of maps such as Digital Elevation Model (DEM), slope, aspect, hillshade, Topographic Position Index (TPI), and solar radiation. Data were obtained from ASTER GDEM v3 and processed to highlight relief characteristics and local climatic patterns. The results highlight the usefulness of these maps for urban planning, environmental management, and sustainable agriculture, providing a visual basis to understand the territorial dynamics of Jacutinga. The study demonstrates practical GIS skills and serves as a starting point for future investigations.
DOI: 10.6084/m9.figshare.21384714.v1
title: Ball-and-stick models of the pentane molecule

description: Pentane is an organic compound, that is, an alkane with five carbon atoms. The term may refer to any of three structural isomers, or to a mixture of them: in the IUPAC nomenclature, however, pentane means exclusively the n-pentane isomer; the other two are called isopentane and neopentane. Cyclopentane is not an isomer of pentane because it has only 10 hydrogen atoms where pentane has 12. Pentanes are components of some fuels and are employed as specialty solvents in the laboratory. Their properties are very similar to those of butanes and hexanes. Pentanes are some of the primary blowing agents used in the production of polystyrene foam and other foams. Usually, a mixture of n-cyclopentane, i-cyclopentane, and increasingly cyclopentane is used for this purpose. Acid-catalyzed isomerization gives isopentane, which is used in producing high-octane fuels. Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China
DOI: 10.6084/m9.figshare.22663876.v1
title: Questionnaire

description: Questionnaire.
DOI: 10.6084/m9.figshare.26494405.v1
title: Vancomycine TDM (SSTA development)

description: A dataset for developing AUC calculation method using single trough level1. Subjects: 1,034 TDM records from 580 general hospitalized patients receiving intermittent intravenous vancomycin administration without renal replacement therapy at a university-affiliated hospital 2. Measurements: 1) Vancomycin concentrations (Ctrough) measured using Architect iVancomycin (Abbott, Wiesbaden, Germany) on an Architect i2000 SR analyzer (Abbott). 2) Reference AUC24 values calculated using the Bayesian program MwPharm++ (version 2.3.1.136; Mediware a. s., Praha, Czech Republic).
DOI: 10.6084/m9.figshare.28779422.v1
title: 原始数据.csv

description: <b>A LASSO Regression-Driven Predictive Nomogram for Liver Cirrhosis Risk in Patients with Chronic Hepatitis B​</b>
DOI: 10.6084/m9.figshare.6146645.v1
title: Simulation study: datasets, code, and results

description: Data set, code and results for the simulations. Data is stored in 'RData' format for the R statistical environment. Code is in Markdown format (both 'Rmd' and the exported 'pdf' files). Results are compressed in .zip files and separated by simulation scenario.<br>See 'README.txt' file for more information.<br>
DOI: 10.6084/m9.figshare.8940395.v2
title: GFF file of the repeat-masked Isatis indigotica genome

description: GFF file of the repeat-masked genome
DOI: 10.17632/4bgtkjsynn
title: Data for: High yield recombinant expression and purification of oncogenic NSD1, NSD2, and NSD3 with human influenza hemagglutinin tag

description: Recombinant protein expression and affinity column purification of NSD1-CTDS-HA and HA tagging improved the purity and solubility of recombinant NSD constructs.
DOI: 10.17632/6s8km8w452
title: Easily Prepared Graphene Anchored PVDF-hydrolized Cellulose Photocatalytic Composite

description: Graphene-like metal oxide photocatalyst (G-Mox) was prepared in a low-cost single step carbonization process. Photocatalytic polymeric composites were prepared by phase separation technique. Hydrolyzed cellulose-PVDF (Phc) solution prepared from textile waste was mixed with PVDF. Physicochemical and structural properties of powder and composites were characterized by X ray diffractometer, SEM, FT-IR analysis. Photoluminescence and surface area analysis of photocatalyst were carried out with contact angle measurements. The photocatalytic properties of the synthesized composites were evaluated using the methyl orange (MO) as a model pollutant. The highest decolorization percentage was obtained as 91.8% with the Phc-20 composite. 
XRD diffraction patterns provide very descriptive information about the prepared composite.
2 theta=37, 48, 55 and 68º, which indicate TiO2 existence of the anatase phase in high compatibility with JCPDS files Anatase:21-1272 in the G-TiO2 and Ge-TiO2-Fe structure. The presence of cellulose in the diffraction pattern of Phc is evident from the sharp 22.7º with peaks in the range of 14-17º. In addition, the distinct peaks observed around 18 and 20º indicate the contribution of alpha phase PVDF. The crystal structure of the Phc composite showed great similarity to the our previous study. In the composites, starting from Phc-5, the 2theta=27º graphite peak emerged with TiO2 and graphene peaks. This value became most evident in Phc-30, which contains the highest solid.
DOI: 10.17632/mg5c8jxbhm
title: PARUDroid (Android apps, Smartphone, Mobile security, Android, Data set, Dataset, Permissions, API calls)

description: This data set contains Android apps collected from Google play and promised repositories. Android apps, Smartphone, Mobile security, Android, Data set, Dataset, Permissions, API calls
DOI: 10.17632/ttmmtsgbs8
title: phishrepo-dataset

description: PhishRepo is implemented to fill the data gap in the anti-phishing domain, and it is still at an experimental level. PhishRepo collects the data available here during its testing stage, and the dataset includes verified phishing webpages. The provided dataset contains diverse information sources from the latest phishing pages.  The diverse feature-rich data present in the dataset is a current need in the machine learning-based anti-phishing domain to overcome inept learning models in phishing detection. The dataset can be used to analyse significant phishing features, experiment with different feature extraction techniques, effectively try out some representation learning techniques such as deep learning from these raw data at a practical level. The dataset contains an index.csv file, and it will be the main file that should be used when mapping index file content with available folders.
DOI: 10.6084/m9.figshare.13625336.v1
title: Seating Arrangement on Class Engagement in Team-based Learning

description: In this study, we aimed to investigate two factors associated with seating arrangement. Firstly, the effects of seating distance from the tutor on class engagement in TBL. Secondly, if seating orientation within the team, which is the direction students are facing, affects class engagement in TBL.<br>Participants were first and second-year medical students.The intervention involved rearranging the students’ seating layout and collecting data before and after this swap. 1 group moved nearer to the tutor while the other moved further away.<br>We used two well validated self-reporting questionnaires to assess TBL engagement. 1) Situational Cognitive Engagement Measure and 2) Classroom Engagement Survey<br>