cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7p4zmkdd43
title: Geoenvironmental data of the Cesar River, Colombia

description: The database includes climatic, hydrological, physicochemical, and erosion information for 2005–2019.
Climatic and hydrological data were provided by IDEAM stations. . Modeled monthly mean flow data for stations 3 and 4 were also incorporated, obtained using the HydroBID hydrological model.
Water quality information comes from official sources for stations 1, 3, and 4. It was also supplemented with gray literature from water resource management plans, watershed management plans, utility reports, and scientific research describing the river's water quality conditions (Gutiérrez et al., 2011; Núñez & Reyes, 2012; Madera et al., 2016). Modeled data from the dynamic water quality model (DynQual) were also included. This model simulates five variables with a monthly temporal resolution and a spatial resolution of 10 km: water temperature (T), total dissolved solids (TDS), biological oxygen demand (BOD), and fecal coliforms (FC).
Due to the scarcity of sediment concentration data from official stations, the database includes 10-year projections (2010-2020) calculated by the RUSLE erosion model. These projections allow the analysis of erosion levels in the area influenced by stations 3, 4, and 19.
Regarding its structure, the database was designed using a hierarchical metadata system with a relational database (RDBMS) based on the international standard SQL/MED (SQL Management of External Data) to ensure interoperability between database systems and the management of external data using SQL (ISO, 2016). The normalization process achieved the third normal form (3NF), ensuring that each primary element is accessible by a unique key (Skavantzos & Link, 2023). Additionally, the criteria for the second normal form (2NF) were met, eliminating transitive dependencies between non-key attributes.
Due to the scarcity of sediment concentration data from official stations, the database includes 10-year projections (2010-2020) calculated by the RUSLE erosion model. These projections allow for the analysis of erosion levels in the area influenced by stations 3, 4, and 19.
Regarding its structure, the database was designed using a hierarchical metadata system with a relational database (RDBMS) based on the international standard SQL/MED (SQL Management of External Data) to ensure interoperability between database systems and the management of external data using SQL (ISO, 2016). The normalization process achieved the third normal form (3NF), ensuring that each primary element is accessible by a unique key (Skavantzos & Link, 2023). Furthermore, the criteria for the second normal form (2NF) were met, eliminating transitive dependencies between non-key attributes.
DOI: 10.17632/bpfb5sdmyg
title: Resource-Based Instruction Data Collected from 2 Higher Learning Institutions in Rwanda

description: This dataset contains five types of data collected from two universities in Rwanda. The first data are related to Pre-service Biology Teachers Achievement Test (PBTAT) designed by authors, the second data are related to Biology Attitude Scale (BAS) adapted from existing tools, the third data are related to Academic Motivation Scale for Learning Biology (AMSLB) adapted from existing tools. All both tools collected data from both universities, the University of Rwanda College of Education (URCE) and the University of Technology and Arts of Byumba (UTAB). However, [the fourth data] classroom observation using the Classroom Observation Protocol for Undergraduate STEM (COPUS) was done only at UTAB and its data are also uploaded here. The fifth data is related to reliability testing before the implementation of PBTAT. The data were collected from November 2020 to March 2021. The data were collected during teaching and learning microbiology. The pre-and post-test design was used at URCE, while the Equivalent time-series design was used at UTAB. The focus group was Year-2 students enrolled in Biology education. These students are future teachers of Biology (Pre-service Biology teachers).
DOI: 10.17632/bw9xnd9r2j
title: LC-MS Profiling and Antioxidant, Antifungal, and Anticancer Potentials of Tunisian Allium sativum L. Extracts

description: This dataset is a comprehensive collection of images, LCMS chromatograms and excel sheets included data used to elaborate the article LC-MS Profiling and Antioxidant, Antifungal, and Anticancer Potentials of Tunisian Allium sativum L. Extracts
DOI: 10.4121/uuid:3a178393-7c80-4caf-a29e-c6a731f7029c
title: Supporting Information and Data for the paper: “Spatially explicit inventory of sources of nitrogen inputs to the Yellow Sea, East China Sea and South China Sea for the period 1970-2010”

description: This dataset is Supporting Information for MS #2020EF001516 entitled “Spatially explicit inventory of sources of nitrogen inputs to the Yellow Sea, East China Sea and South China Sea for the period 1970-2010” in Earth's Future.The Supporting Information provides other details besides the main text to support this study, including statistical data on population and food production, method schemes, model validation results, information on the study area, modelled results of nitrogen delivery to surface waters, nitrogen retention loads in river basins and nitrogen inputs from each external source and their spatial distributions in the coast, and reported eutrophication status and red tide outbreaks in Chinese seas. Movies and modelled output data are in separate files and briefly described in this text.
DOI: 10.6084/m9.figshare.24534694.v1
title: Files of instrument responses

description: The files of instrument response were requested via JWEED (https://ds.iris.edu/ds/nodes/dmc/software/downloads/jweed/) in April 2021. They were used in Yang et al. (2021, https://doi.org/10.1785/0220210232), but some of them have been officially updated. Therefore, we provided the older version of the instrument responses for readers to reproduce our results, especially the values of correction for instrument response (6th column of Table S2 in Yang et al., 2021).
DOI: 10.6084/m9.figshare.7517447.v1
title: Analysis of Radar Cross Section Reduction of Fighter Aircraft by Means of Computer Simulation

description: ABSTRACT: This paper presents a preliminary study of the Radar Cross Section (RCS) reduction on the fighter aircraft. First, it was studied the RCS of the aircraft from computational simulations based on prior knowledge of vulnerable areas of this aircraft to radar threats. Subsequently, the possible applications of Radar Absorbing Materials (RAM) on the surface of the aircraft were evaluated, in order to reduce its RCS. The absorber material used in the simulations was denominated FC70, which has good attenuation in the range of 10 to 12 GHz. The study of this reduction was accomplished by applying RAM in four different scenarios at the frequency of 11.1 GHz, where the material is more sensitive. The RCS simulations of the fighter aircraft and its RCS reduction by RAM application were carried out with the support of the software "Computer Simulation Technology" (CST), version 2012. Such technology makes it possible to simulate the application with an absorber material layer on the surface of the aircraft. For the study of the RCS reduction on the fighter aircraft, it was first necessary to develop a detailed 3D model of the fighter aircraft, and it was developed with the software "Computer Aided Three-Dimensional Interactive Application" (CATIA). In conclusion, it is impossible to make much progress attempting to retrofit stealth onto a conventional aircraft because if the shape is wrong, no amount of absorbing material treatments will reduce the RCS.
DOI: 10.6084/m9.figshare.9119975.v1
title: The Optimal Packing of Eight Points in the Real Projective Plane

description: How can we arrange <i>n</i> lines through the origin in three-dimensional Euclidean space in a way that maximizes the minimum interior angle between pairs of lines? Conway, Hardin, and Sloane (1996) produced line packings for n≤55 that they conjectured to be within numerical precision of optimal in this sense, but until now only the cases n≤7 have been solved. In this paper, we resolve the case <i>n</i> = 8. Drawing inspiration from recent work on the Tammes problem, we enumerate contact graph candidates for an optimal configuration and eliminate those that violate various combinatorial and geometric necessary conditions. The contact graph of the putatively optimal numerical packing of Conway, Hardin, and Sloane is the only graph that survives, and we recover from this graph an exact expression for the minimum distance of eight optimally packed points in the real projective plane.
DOI: 10.6084/m9.figshare.9928790.v1
title: Supplementary Material for: Effectiveness and Safety of Double-Blind, Placebo-Controlled, Low-Dose Oral Immunotherapy with Low Allergen Egg-Containing Cookies for Severe Hen’s Egg Allergy: A Single-Center Analysis

description: <b><i>Introduction:</i></b> The usefulness of low-dose oral immunotherapy (OIT) for the treatment of egg allergy has been unclear. <b><i>Objective:</i></b> To evaluate the efficacy and safety of OIT with low allergen cookies (LACs) containing a low dose of hen’s egg. <b><i>Method:</i></b> Thirty-three patients with severe hen’s egg allergy were randomly administered either OIT with LACs (<i>n</i> = 21) or placebo (<i>n</i> = 12). Two patients in the LACs group withdrew before completing OIT. The primary endpoint was the number of good responders (G-R), patients with negative results in the oral food challenge (OFC) with a final dose of 2 g hard-boiled egg whites after 4 months of OIT, in each group. Total OFC Aichi score for anaphylaxis/cumulative protein dose (TS/Pro) as the marker of severity of food allergy was also compared. Adverse events during OIT were evaluated using patients’ diaries. <b><i>Results:</i></b> The proportion of G-R in the LACs group was higher than in the placebo group (7/19 [37%] vs. 1/12 [8%], χ<sup>2</sup> test; <i>p</i> = 0.077). The TS/Pro after OIT in the LACs group was lower than in the placebo group (median score, 44.2 vs. 104.1, <i>p</i> = 0.059; Mann-Whitney U test). The threshold and TS/Pro before and after OIT significantly improved in the LACs group (<i>p</i> = 0.015,<i> p</i> = 0.027, respectively; Wilcoxon signed-rank test). There were 99 recorded incidences of symptoms of 1,938 intake events in the LACs group during OIT. Of these, 90 were mild; no severe symptoms occurred. <b><i>Conclusions:</i></b> OIT with LACs potentially increases the OFC threshold and decreases allergy severity and is a relatively safe treatment modality.
DOI: 10.17632/xkwprsy78w
title: Data Historis Penjualan Mingguan (Toko Cahaya Sandang)

description: Data historis penjualan kain toko cahaya sandang
DOI: 10.48420/20297067.v2
title: 18091807_PELDOR_FigS11_raw_data.DSC

description: PELDOR
DOI: 10.6084/m9.figshare.12699698.v2
title: Data to support Scoping reviews in medical education: A scoping review

description: This data set supports the manuscript Scoping reviews in medical education: A scoping review by Lauren Maggio PhD, Kelsey Larsen PhD, Aliki Thomas PhD, Joseph Costello MSIS, Anthony R Artino PhD. A preprint of this manuscript is available on bioRxiv: https://www.biorxiv.org/content/10.1101/2020.07.23.218743v1<br>If you have any questions, please contact: Lauren.maggio@usuhs.edu<br><br>
DOI: 10.6084/m9.figshare.1488674.v1
title: ATT based flow territories

description: These flow territories were created based on the Tatu et al. Neurology 1998 vascular territories, using arterial transit time (ATT) data from a population of elderly with hypertension. They correspond to Figure 2 of Plos One paper "Cerebral perfusion measurements in elderly with hypertension using arterial spin labeling". Data is stored in a regular nifti-file, without compression. Regions are encoded as follows: 1 = proximal ACA<br>2 = middle ACA<br>3 = distal ACA<br>4 = proximal MCA<br>5 = middle MCA<br>6 = distal MCA<br>7 = proximal PCA<br>8 = middle PCA<br>9 = distal PCA
DOI: 10.6084/m9.figshare.9934058.v2
title: Genomic Data from divergently selected lines for intramuscular fat in rabbits

description: Genomic Data from divergently selected lines for intramuscular fat in rabbits.<br>This database was used for the analyses of the article titled: <strong>"Genomic regions influencing intramuscular fat in divergently selected rabbit lines."</strong><strong>Animal Genetics - Journal, accepted in 2019.</strong>
DOI: 10.17632/bjzyv322b7
title: Data for: On the Modeling of a Contact-Aided Cross-Axis Flexural Pivot

description: The folder contains files for a multi-software automatic framework, capable of analyzing the performances of a Contact-Aided Cross-Axis pivot. Chained-Beam-Constraint Model and batch 1D FEA are launched from Matlab environment.
DOI: 10.17632/kxb9gdyz6f
title: PRHM Effortful swallow Data

description: PHRM Effortful Swallow Dataset
DOI: 10.17632/r4fn4hbc8k
title: Dataset: Enterprise Resource Planning Survey for quality assessment

description: This dataset is designed to assess various aspects related to the usage and perception of Institutional ERP (Enterprise Resource Planning) systems. It provides valuable insights into user experiences, satisfaction levels, and system effectiveness.
The dataset includes the following parameters:
Usage of Institutional ERP: Indicates whether respondents are utilizing the institutional ERP or a similar system.
Data Availability: Determines if users are obtaining the required data from the ERP system.
Understanding of Generated Information: Assesses the ease of understanding information generated by the ERP system.
Data Format: Identifies the formats in which required data/reports are generated (e.g., PDF, Excel, graphs).
Hierarchy of Data Availability: Explores the existence of data availability hierarchy and user-level categories (e.g., Faculty level, HoD level).
User-Friendliness: Evaluates the system's user-friendliness and ease of use.
Improvement Needs: Determines if there's a need to enhance display or language within the ERP system.
Loading Time: Estimates the expected time for each page of the system to load.
Accessibility: Assesses if the ERP system should be accessible from any location outside the institutional campus.
Availability: Determines if the ERP system should be available 24*7.
Technical Support: Evaluates the empathy and timeliness of response from technical support staff.
Online Assistance Requirement: Explores the necessity of online assistance or help desk support.
Infrastructure Adequacy: Assesses if the system infrastructure adequately fulfills user requirements.
Data Quality: Evaluates the sincerity, genuineness, and confidentiality of data.
Response Quality: Rates the quality of responses and assistance provided by the ERP system.
Overall Experience: Allows users to rate their overall experience working with the ERP system.
Effectiveness and Efficiency: Assesses the overall effectiveness and efficiency of the ERP system.
User Comfort and Satisfaction: Rates the level of user comfort and satisfaction with the ERP system.
Report Generation Quality: Rates the quality of information and report generation through the ERP system.
User Interface Usability: Evaluates the usability and effectiveness of user interfaces within the ERP system.
ERP Aesthetic: Rates the appearance, color combination, and overall aesthetic of screens within the ERP system.
Timely Assistance: Rates the timeliness of assistance and support provided by the ERP team.
Preferred Training Mode: Identifies preferred modes of training for system usage.
These parameters collectively offer valuable insights into user experiences, satisfaction levels, and areas for improvement within Institutional ERP systems.
DOI: 10.6084/m9.figshare.25750887.v1
title: Plant morphology impacts bedload sediment transport

description: This is the dataset for the paper: Plant morphology impacts bedload sediment transport. All data used in the figures of the paper are summarized in the file.
DOI: 10.6084/m9.figshare.6115871.v1
title: Origin of Earth and Circadian Clocks

description: Four billion years ago, shortly after the origin of the Earth-Moon System, it is predicted that the length of day was close to four hours. Life on Earth originated not long after that. Since then the length of day changed continuously to the 24 hour day as we know it today. One group of prokaryotes that lived through all these changes are cyanobacteria, which are among the oldest organisms on Earth. Cyanobacteria are a unique group of bacteria as they are the only known prokaryotes to perform oxygenic photosynthesis as well as the only known prokaryotes to have a circadian clock.
DOI: 10.17632/3f5fmk8pp2
title: Diets of Steller and California sea lions determined from scat collections in northwest Washington during 2010-2013 with genetic identification of salmon species

description: The attached excel file contains data from an analysis of the diet of Steller and California sea lions conducted in northwest Washington during 2010 through 2013. The data presented in this submission updates the data provided by Scordino et al. (2001) with new additional analyses on the salmon eaten by Steller and California sea lions. Salmon bones were sorted into three size classes (small, medium, and large) and were provided to the Institute of Science and Technology at North Central High School in Spokane, Washington for genetic analysis to determine the species of salmon consumed by the sea lions. The excel file also contains information on the sites at which scat samples were collected and data from our analysis of genotyping errors. 

Scordino, Jonathan; Akmajian, Adrianne; Riemer, Susan (2021), “Steller and California sea lion count and diet data in northwest Washington, 2010-2013”, Mendeley Data, V1, doi: 10.17632/npdzxcsfh9.1
DOI: 10.17632/4b7x4ftnx2
title: Data for: Selection of Key Visual Cues in Real and Virtual Environments for Assembly Tasks
DOI: 10.17632/c9cjt57k2s
title: Data for: Scaling up nature-based solutions for climate-change adaptation: potential and benefits in three European cities 

description: The dataset contains GIS data and JPEG maps of nature-based solution scenarios and related benefits in three case-study cities partners of the H2020 project Naturvation (https://naturvation.eu/): Barcelona (Spain), Malmö (Sweden), and Utrecht (the Netherlands). The data were produced as part of the research described in the article “Scaling up nature-based solutions for climate-change adaptation: potential and benefits in three European cities”, published in Urban Forestry & Urban Greening (doi:10.1016/j.ufug.2021.127450). 
The dataset is structured into three main folders, one for each city. Each folder contains six raster maps of land cover under different scenarios, a vector map with the results of the assessment of the selected benefits at the local level, and a sub-folder with the benefit maps printed in JPEG format.
The six scenarios include the current condition (Baseline - LC); four scenarios that simulates the full-scale implementation of one specific type of nature-based solutions: installing green roofs (GreenRoofs - GR), de-sealing parking areas (ParkingAreas - PA), enhancing vegetation in urban parks (Parks - PK), and planting street trees (StreetTrees - ST); and a scenario considering the contemporaneous implementation of all four types of nature-based solutions (GreenDream - GD). The simulated full-scale implementation is based on space availability and technical feasibility: other constraints to the implementation of nature-based solutions are not considered. 
The five benefits assessed include two benefits related to climate change adaptation, i.e. heat mitigation (HM) and runoff reduction (RR), and three co-benefits, namely carbon storage (CS), biodiversity potential (BP), and overall greenness (OG). The vector maps and related JPEG prints show the results of the assessment at the block level. Blocks are based on a modified version of Urban Atlas polygons obtained by removing streets and railroads. 
Maps have coordinate reference system UTRS89 - LAEA Europe (EPSG:3035) and cover the whole administrative territory of the respective city, excluding the sea. Raster maps are provided in Geotiff format, UInt 16, with a resolution of 1 m. The legend includes eight land cover classes: water (0), trees (1), low vegetation (2), impervious (4), agriculture (5), buildings (10), green roofs (11), vegetation over water (13), permeable parking areas (14). The attribute tables of the vector maps store the value of the selected benefits for each block, together with the links to the original Urban Atlas polygons. Scenarios and benefits are identified by their two-letter codes as reported above. The printed JPEG maps of benefits have a common legend, to allow for comparison between cities.
DOI: 10.17632/kbwr2z8r3y
title: Processed Data for Electric Vehicle Powertrain Efficiency: Integrating Driving Cycle Data and Electric Motor Efficiency Maps

description: This study focuses on using high-fidelity tracking (GPS) data obtained to design electric powertrains, mainly for retrofit applications. The tracking data was collected to study micro-mobility behaviour, particularly for minibus taxis. It also considered the impact of driving conditions, driving speed, and time of travel during the day on vehicle energy consumption. The data was recorded in trips to or from Bergzicht Taxi Rank in Stellenbosch, South Africa. This raw data can be found in the "Raw_tracking.csv" file, the dataset contains a comprehensive set of columns capturing various parameters related to a vehicle's performance and behaviour during its operation on these tracking routes. This enables engineers to determine the electric powertrain's expected efficiency, aiding in component selection and optimization for electric vehicles.
Key steps in the method include:
•	Data manipulation: High-fidelity GPS tracking data is converted to the required torque and speed for the proposed electric drivetrain to replicate driver behaviour.
•	Electric motor efficiency map integration: The simulation process incorporates an electric motor efficiency map, ensuring a precise assessment of powertrain efficiency based on the specific characteristics and performance of the electric motor used.
•	Powertrain efficiency calculation: The overall powertrain efficiency of the proposed electric drivetrain is calculated and simulated based on the driving cycle data.
The derived powertrain efficiency has broader applications beyond retrofit scenarios. It can be replicated and applied to design and develop new electric vehicles, providing insights into efficiency values and performance characteristics. Moreover, it supports strategic planning for electric infrastructure to encourage the widespread adoption of electric vehicles, thereby contributing to sustainable transportation solutions.
 
The code provided "Drivetrain_efficiency_analysis.ipynb" simulates the data to generate the electric drive train efficiency by creating and plotting the driving cycle onto an electric motor efficiency map. This is used to generate the kinetic variables of the vehicle’s kinetic model namely the total resistive force, required motor torque required and required motor speed. The code enables the user to generate a specific motor efficiency map for the electric motor of the user's choosing. This will result in an output to generate an electric motor efficiency map on which the driving cycle data can be plotted. The motor efficiency is then used to determine the total drivetrain efficiency for a proposed electric powertrain for each driving cycle point. This analysed and processed data is found in the "Tracking_data_efficiecny.csv" file.
In this data, a Bosch SMG180 electric motor is used to determine the efficiency. The "SMG180.csv" file contains the data points for the torque vs rpm curve of the motor.