cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8gr322zpgb.1
title: METAGUI. A VMD interface for analyzing metadynamics and molecular dynamics simulations

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract We present a new computational tool, METAGUI, which extends the VMD program with a graphical user interface that allows constructing a thermodynamic and kinetic model of a given process simulated by large-scale molecular dynamics. The tool is specially designed for analyzing metadynamics based simulations. The huge amount of diverse structures generated during such a simulation is partitioned into a set of microstates (i.e. structures with similar values of the collective variables). Their re... Title of program: METAGUI Catalogue Id: AEKH_v1_0 Nature of problem Extract thermodynamic data and build a kinetic model of a given process simulated by metadynamics or molecular dynamics simulations, and provide this information on a dual representation that allows navigating and exploring the molecular structures corresponding to each point along the multidimensional free energy hypersurface. Versions of this program held in the CPC repository in Mendeley Data AEKH_v1_0; METAGUI; 10.1016/j.cpc.2011.08.020
DOI: 10.17632/gsr59k2rmb.1
title: File Carving based Digital Forensic Tools Testing Data Sets (Contiguous + Fragmented Files)

description: This test image is a NTFS file system and is intended to test data carving tools and their ability to extract various file formats. The image contains several allocated and deleted files that are all stored mixed contiguous and fragmented formats within its allocated space. The reson for fragmented files as a part of the database is that the file retrival capabaility of the tools in such cases also need to be tested and published. All files are random files that that were in my possession or that I created from scratch. This image was created from a NAND USB thumb-drive that was wiped and formatted using the Forensic Toolkit FTK Imager with the file extension of AD1. The image has been eliminated with its meta data so that it cannot be mounted and therefore data carving methods must be used to extract the files. This test image is a 'raw' image (i.e. 'dd') of a NTFS file system. The file system is 2 GB. The MD5, SHA, file types, name of every file and all other details of the image are clearly mentioned in the .csv and .txt files attached to this data set. One can run the image against any data carving based tool and thus can cross check the obtained values with that of our image.
DOI: 10.17632/9sxdykm8s4.1
title: Improving the Scopus and Aurora queries to identify research that supports the United Nations Sustainable Development Goals (SDGs) 2021
DOI: 10.17632/w4536c7gpd.1
title: Echocardiographic parameters as predictors for the efficiency of resynchronization therapy in patients with dilated cardiomyopathy and heart failure with severely reduced ejection fraction

description: Therapy of heart failure (HF) in patients with dilative cardiomyopathy (DCM) represents a challenge for physicians and a financial burden for the health care system.  Nowadays, the implementation of cardiac resynchronization therapy (CRT) represents an increasingly recommended solution for alleviating symptomatology and improving the quality of life in individuals with CMD and HF with severely reduced ejection fraction (HFrEF) who remain symptomatic despite optimal medical therapy (OMT). CRT has proven to be a valuable therapeutic alternative if implemented successfully. However, it seems that not in all cases this therapy succeeds in the desired results, sometimes low sensing and high voltage stimulation being needed to obtain some degree of resynchronization, even in the case of perfectly placed cardiac pacing leads. Our study aims to identify whether there are a relation between several transthoracic echocardiographic (TTE) parameters characterizing cardiac performance, especially strain results, and acute and chronic sensing and pacing parameters. (2) Methods: in 48 patients with mean age 64 (53.25-70) years, diagnosed with CMD, and HFrEF, still symptomatic despite OMT, CRT was practiced during 2020-2021, to treat persistent symptoms.
DOI: 10.17632/xngss375gk.2
title: CRM and customer evaluation using MCDM

description: This dataset contains supplementary data related to the manuscript entitled "A combined multicriteria and fuzzy sets approach to customer relationship management". It contains two files. The first presents data and evaluation of 21 potential customers (of a digital marketing company) using the multicriteria decision making (MCDM) method PROMETHEE II; it contains the implementation of VBA code of this method. The second presents data and evaluation of 8 customers (of the same digital marketing company) using the multicriteria decision making (MCDM) method fuzzy TOPSIS; it also contains the implementation of VBA code of the method.
To better explain used data and evaluations: the potential customers are evaluated considering criteria "audience" (which means number of followers of the potential customers in social media), "used platform" (expresses which platform the customer uses to disseminate content) and "niche relevance" (importance of the niche in which customers produce content). Finally, applying the PROMETHEE II method results in a final score for each potential customer, allowing to rank them according to these scores. 
Current customers are evaluated using sets of criteria grouped in three performance dimension: growth potential, relationship and cost-effectiveness. Applying fuzzy TOPSIS method results in a score for each dimension. Thus, customers are classified using two portfolio matrices. 
Steps to reproduce the applications can be found in the respective worksheets.
DOI: 10.17632/3pf2658csc.1
title: Tourism in India - Statistics 1951-2016

description: Statistical data on Foreign Tourist Arrival, Percent of Share of Indias' FTA, Foreign Exchange Earning from Tourism (in Indian Rupees Million, Total Tourism Contribution to GDP (US$ Billion), Tourism contribution to GDP in Percent, Direct Contribution to GDP (in US$Billion) Government spending on Tourism (In US$ Billion) , Tourism contribution to Employment ('000 jobs), Domestic Tourism (in Million), Visa on Arrival, Foreign Exchange Earning(FEE) (US$ Million) and Plan Period between 1950 to 2016.
DOI: 10.17632/9sdnrctdpx.1
title: Data for: Who was colonized and when? A cross-country analysis of determinants

description: Abstract of associated article: The process of colonization has shaped the economic and demographic contours of the modern world. In this paper, we study the determinants of the occurrence and timing of colonization of non-European countries by Western European powers. Of particular interest is the role of early development measures that are known to be strong correlates of present-day levels of income. We show that non-European societies with longer histories of agriculture and statehood and higher levels of technology adoption in 1500 were less likely to be colonized, and tended to be colonized later if at all. We also find that proximity to the colonizing powers, disease environment, and latitude are significant predictors of the occurrence and timing of colonization, although their impacts are less robust to choice of country sample. Our models have high explanatory power, and their support for the significance of early development is robust to the use of alternative indicators of early development and disease, to the use of instruments to focus on the exogenous component of early development, and to the joint estimation of the colonization and timing equations to correct for potential selection bias.
DOI: 10.17632/bwkm69ycrc.1
title: Evaluation of an Adaptive Game-Based Math Learning Program for Improving Early Elementary School Children's Math Knowledge

description: The data were collected as a part of a randomized control trial of an adaptive game-based math learning program. The goal was to understand the extent to which the intervention could improve math learning outcomes and engagement for kindergartners and first graders. The student assessment data include pre- and post- intervention administrations of a measure comprised of standards-based items selected from Certica item bank. Teachers were asked to complete a beginning-of-study survey and end-of-study survey. A sample of the treatment and control group teachers were also invited to take part in end-of-study interviews. Additionally, classroom observations were conducted to gain insights about the math instruction in both treatment and control classrooms. The qualitative data collected from teachers and through observations provide context for how the intervention was implemented and the effects it had on their students and their classroom instruction.
DOI: 10.17632/h4pygk4xrd.1
title: Data for: An algorithm to reduce a river network or other graph-like polygon to a set of lines

description: This zip file includes all principal data (vector and raster) used in the figures of the paper: Schaefer, E. I., and Pelletier, J. D. (submitted), "An algorithm to reduce a river network or other graph-like polygon to a set of lines", Computers & Geosciences including both inputs to and outputs from the four skeletonization algorithms compared (Zhang and Suen, RivWidthCloud, DeepRiver, and the one presented), as well as some intermediate products. The (Python 2) code implementation of the skeletonization algorithm presented in that paper is also included, along with a manual. In short, the contents, by directory, are: numgeo_code: numgeo 0.0.2a0, the code described in the paper numgeo_sample_data: data used in figures and analysis in the paper numgeo_sample_data/constant_width_binary_tree_rasters: rater data used in Experiment #1 of the paper numgeo_sample_data/constant_width_binary_tree_shapefiles: vector data used in Experiment #1 of the paper numgeo_sample_data/noisy_binary_tree_rasters: rater data used in Experiment #3 of the paper numgeo_sample_data/noisy_binary_tree_shapefiles: vector data used in Experiment #3 of the paper numgeo_sample_data/simple_shapefiles: vector data used in illustrative examples numgeo_sample_data/variable_width_binary_tree_rasters: rater data used in Experiment #2 of the paper numgeo_sample_data/variable_width_binary_tree_shapefiles: vector data used in Experiment #2 of the paper numgeo_sample_data/yukon_rasters: rater data used in Experiment #4 of the paper numgeo_sample_data/yukon_shapefiles: vector data used in Experiment #4 of the paper
DOI: 10.17632/2hc7m7jkc5.1
title: Data for: Towards a general model for hyperspectral soil reflectance simulation

description: General spectral vectors derived by this study as well as example codes.
DOI: 10.17632/cbj37wdsdj.1
title: Radar Human Breathing Dataset for Applications of Ambient Assisted Living and Search and Rescue Operations

description: The proposed dataset includes human vital sign records sensed by radar and reference sensors (lidar). The dataset covers the operational radar characteristics and human body orientations. This data can enhance algorithms for ambient assisted living, assist search and rescue operations after natural disasters such as earthquakes, develop algorithms for non-contact medical devices, and analyze near-field radiation effects of antennas on vital signs.
DOI: 10.17632/thnzm3yk23.1
title: Dataset of Jordanian University Students’ Psychological Health Impacted by Using E-learning Tools during COVID-19

description: COVID-19 has affected different sectors in society, and education is not an exception. Schools and higher education institutions were among the most affected. In Jordan, the government imposed an emergency state through taking strict measures to prevent further spread of the virus. These measures included closing borders, suspending schools and universities, halting flights, banning gatherings, quarantine, and others. Students’ shifting to the e-learning model led to the prolonged use of digital e-learning tools including smartphones, laptops, and i-pad tablets, which ultimately affected their mental health and their psychological well-being. This dataset focuses on the impact of the excessive use of COVID-19’s e-learning digital tools on university students’ psychological and mental health. The dataset further investigates whether there is a correlation between the students’ prolonged use of e-learning digital tools, imposed by the COVID-19 crisis, and the psychosomatic symptoms and disorders. A Likert-type questionnaire was administered in Arabic, being the official language in Jordan. This dataset contains two main sections; the first section is demographic information, and the second section reports on the psychosomatic impact of COVID-19’s e-learning digital tools on university students’ well-being. A total of 775 responses were received, and the data were analyzed according to Likert’s five-point scale, where frequencies and percentages were calculated. The demographic information part aimed to gather information about gender, level/year (first/freshman, second/ sophomore, third/junior, fourth/senior, or other), age (18-24, 25-30, or 30+), cumulative average/GPA ( +90 / 3.5+, 80-89 / 3.0-3.49, 70-79 / 2.5-2.99, 60-69 / 2.0-2.49, Below 60 / Below 2.0 or other). The second section consisted of five main constructs. The first construct is concerned with the use of digital tools (mobile phone, laptop, i-pad) before and after COVID-19. This construct identifies the type of digital tools used, length of use before and after COVID-19, and whether their excessive use for academic purposes led to distraction. The second construct seeks to compare the students’ sleeping habits before and after COVID-19, and if their frequent use of e-learning tools interfered with their bedtime and wake-up. The third construct aims to elicit responses on the students’ social behaviour and the extent to which the closures, lockdowns, and curfews, in addition to their prolonged use of e-learning tools, have impacted their everyday life routines. The fourth construct focused on the psychological state of students after having undergone unfavourable conditions during the COVID-19 crisis. This was reflected in cases of stress, frustration, tension, and depression. The last construct seeks to probe into the consequences of the above factors, i.e. social and psychological, on the students’ academic performance and achievements.
DOI: 10.17632/4rjc87zrd3.2
title: SEWA Electricity Deman Forecasting -- 2020 and 2021

description: The SEWA electricity forecasting dataset provides an in-depth insight into power demand over 2020 and 2021. This exhaustive collection intertwines general daily data, like dates, with specific hourly environmental parameters such as temperature, humidity, wind speed, and solar irradiance. Such details are pivotal, offering a holistic context to electricity consumption metrics. Venturing deeper, the dataset touches upon SEWA's technical metrics surrounding electricity load dynamics. Key indicators, including minimal load, peak load, and hourly energy metrics, form the dataset's analytical backbone. A noteworthy feature is the "lagged demand," which reflects the prior hour's electricity demand, adding a layer of temporal depth to the analysis. Organized meticulously, the dataset segregates data into hourly segments, detailing power demand for each hour, from midnight to midnight. Concurrently, the daily data summarizes these hourly intricacies, offering a consolidated view of each day's power demand. Analytically, the dataset stands primed for rigorous scrutiny. It facilitates calculations of mean demand, assessment of hourly demand variability, distinction of peak from off-peak periods, and tracking of emerging trends over timeframes. Visualization potentials are vast, enabling one to map out daily demand trajectories and monitor demand evolution longitudinally. Furthermore, the data's structure and granularity enable detection of seasonal shifts, overarching trends, and any inherent cyclical or irregular patterns, making it an invaluable resource for power demand analysts.
DOI: 10.17632/dvjms8448j.1
title: Structure of a lignin peroxidase ligand access channel-atrazine docking complex

description: State of the lignin peroxidase-atrazine complex after molecular docking. The conformer used in docking was created at 298 K temperature in a 10 ns long molecular dynamics simulation. The input structure for molecular dynamics was obtained from the RCSB PDB database (1B82). Docking was performed with DockingServer, molecular dynamics was performed with NAMD (CHARMM36 force field).
DOI: 10.17632/x63r376783.1
title: Charting By Machines

description: This dataset contains the data and code, along with instructions for running the code, necessary to replicate Charting By Machines by Scott Murray, Yusen Xia, and Houping Xiao.
DOI: 10.17632/nppchkfrf3.1
title: Complexity Inequality and Internet data

description: This is the data used in the research "Complexity, Inequality, and Internet". Inequality is quantified using the Gini coefficient after taxes and transfers, sourced from the Standardized World Income Inequality Database, incorporating data from the OECD, World Bank, and ECLAC (Solt, 2020). Explanatory variables include the Economic Complexity Index (ECI) from the Atlas of Economic Complexity (The Growth Lab at Harvard University, 2019), normalized within a range of -3 to +3; real GDP per capita in 2017 US dollars from the Penn World Table (Feenstra, et al., 2015); and internet access, measured as the percentage of the population using this service (The World Bank, 2023). The dataset comprises 126 countries with data spanning from 1995 to 2020.

This data is presented in CSV and XLSX formats for further review.
DOI: 10.17632/69xc2s9whw.1
title: The resilience of biofilm-bound sandy systems to cyclic changes in shear stress

description: Data for paper published on Water Resources Research entitled ' The resilience of biofilm-bound sandy system to cyclic changes in shear stress'.
Sand-attached benthic biofilms drive many important biogeological processes and serve as cooperative “ecosystem engineers”. In aquatic environments, biofilms undergo periodic detachment and re-colonization due to the regular changes in hydrodynamic forcing. However, legacy impacts of past microbial actions on current biofilm formation and the biostabilization of the substratum sands are yet to be fully understood. In this study, a systematic set of flume experiments were conducted to investigate the effects of different depositional histories. Changes in the erosion threshold and rate of erosion were determined from the time sequences of suspended sediment concentrations. The contents of extracellular polymeric substances (EPS) and particle morphology of the biofilm-bound sandy matrix were analyzed. Surprisingly, biostabilization is disturbance-stimulated, rather than disturbance-limited, as previously thought. Bio-sandy beds cultivated under intensive disturbance presented an EPS accumulation in each cycle, and showed a more rapid increase in bed strength and stability than when rarely disturbed. All colonies from previous cycles exhibited traces of EPS as “footprints”. These stimulated and possibly accelerated the process of recolonization, thereby enhancing the erosion resistance of the bed. In contrast, a stabilized bed was better suited to mature microbial communities. A modified “Windows of Opportunity” framework was therefore put forward. Although biostabilization was not established within short quiescent periods, the system created the “opportunity” to become established in subsequent “windows” by seeding the colonization process. The stabilization, destabilization and re-stabilization of biofilm may imply a much more important role as ecosystem engineers and is relevant for a range of engineered bio-systems.
DOI: 10.15468/dl.zgb4wa
title: Occurrence Download

description: A dataset containing 831 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyrus ussuriensis Maxim.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 831 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009386-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/c4nmk6h3kj.2
title: Subjetive well-being and happiness: Data from a positive education intervention

description: The data of this publication comes from a positive education intervention in Colombia. The data covers two years (2020 – 2022) of 193 college students enrolled in the class Happiness and Well-being. This course teaches evidence-based interventions to promote well-being and mental health awareness. Students participating in the study were asked to take a survey at the beginning and the of the semester to assess their overall life satisfaction. Likewise, students in the class identified a university classmate not enrolled in the class to participate as a control group (n=135). Students in the control group also took the survey at the beginning and end of the semester. In total, 328 college students participated in the study, 193 in the treatment group and 135 in the control group.
DOI: 10.17632/wcdkwsbvn7.1
title: Global wave power yield

description: The dataset contains the hourly capacity factors for the point absorber wave energy converter (WEC) according to CorPower specifications, calculated with wave conditions of the year 2005. The dataset can be used to extract the wave electricity yield profiles for energy system modelling. The dataset is in .m extension created via Matlab R2018b. It contains a matrix with dimensions 400x800x8760, corresponding to latitude, longitude, and hours of a year, respectively. More details are available in the Supplementary Material S1 within the main publication.
DOI: 10.17632/42m38kj9rx.1
title: Supporting Information for “Metagenomics reveals differences in the composition of bacterial antimicrobial resistance and antibiotic resistance genes in pasteurized yogurt and probiotic bacteria yogurt from China”

description: Supporting Information for
“Metagenomics reveals differences in the composition of bacterial antimicrobial resistance and antibiotic resistance genes in pasteurized yogurt and probiotic bacteria yogurt from China”