cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/cstdytjvjm
title: Data for: Metals and metalloids distribution, source identification, and ecological risks in riverbed sediments of the Jinsha River, China

description: Captions S1. Positive matrix factorization (PMF) model S2. Principal component analysis (PCA) S3. Risk assessment method S4. Sampling sites choice Figure captions Fig. S1 Land use of the Jinsha River Basin Fig. S2 Principal score plots of (a) elements loading and (b) sediment samples in rotated space defined by first three principal components with Varimax rotation solution Table captions Table S1 The operation parameter of the PMF model for five-factor solution. Table S2 Percentile concentrations and statistics of metal(loid)s in sediments and main characteristics of sediments from the Jinsha River. Table S3 The exchangeable and carbonate fraction (%) of metal(loid)s in the Jinsha River. Table S4 The evaluation criteria of different risk assessment methods. Table S5 Pearson correlation coefficients r between metal(loid)s, and principal component factor scores and eigenvalues of metal(loid)s in the Jinsha River. Table S6 Correlation coefficients between metal(loid)s and sediment physical-chemical indices. Table S7 The number of national key mining companies of metal(loid)s in 2016 along the Jinsha River Basin (twelve cities included). Table S8 Mean values of relative source contributions of PMF model and Relative area of land use in upstream, midstream and downstream of the Jinsha River. Table S9 Cascade reservoirs of the Jinsha River.
DOI: 10.17632/vjm2z4vd9j
title: Lipidomic profiling reveals lipid regulation to a novel LSD1 inhibitor treatment

description: LSD1 is lysine specific demethylase 1 which plays an important role in tumor metabolism. ZY0511 is a novel LSD1 inhibitor, systematic analyses of metabolic alterations during ZY0511 treatment will uncover the role of LSD1 implicated in cancer progression. We utilize untargeted tandem mass spectrometry for quantitative lipidomic profiling of HCT116 and Hela cells after ZY0511 treatment for 48 hours. We detected the changes of lipid metabolites in positive and negative ion modes respectively. The experiment was divided into two groups, the control group and the treatment group, each group contains 6 repeats. The levels of lipids and metabolites are presented in the attached excel file.
DOI: 10.17632/d4vzbcxxcy
title: Spectral Water Quality Data

description: This dataset was used in a study entitled Open statistical learning algorithms of characteristic wavelength selection and surrogate monitoring for UV‒Vis absorption spectroscopy-based in situ water quality sensing, by Jiping Jiang*, Meiyu Luo, Wenyu Wang, Hongliang Xu, Sijie Tang,  and Yi Zheng.
DOI: 10.17632/8hns8wpx7c
title: Section-Based DataBase Schema: optimal design of reinforced concrete elements based on multi-objective brute force search (Code)

description: This repository contains Python codes implementing the Section Beam Database Search (SBDBS) method for optimizing Reinforced Concrete (RC) beam design. Utilizing a multi-objective optimization approach, the codes facilitate the generation of optimal beam sections considering various design variables, adhering to ACI code constraints. By employing non-dominated sorting improved brute force search method, the SBDBS significantly reduces computational cost, ensuring optimal solutions for cost, moment resistance, and energy dissipation. Intended for researchers, engineers, and decision-makers, this tool aids in achieving cost-effective, robust RC design.
DOI: 10.17632/57k3pxyg8d
title: Employee safety competence and sustainable safety management: A review study

description: This review study focused on the "Safety competence of Employees and Sustainable Safety Management" would examine how employees' understanding of safety contributes to sustainable safety practices within organizations. Failure to identify social sustainability indicators such as a leading competency in safety will 
cause a failure in the safety development program. Hence, a systematic literature review of published studies is essential for easing the dissemination of useful research findings and gaining access to future trends in safety competencies research. This study includes PRISMA statement and published systematic review 
framework. The studies from 2008 to 2023 were retrieved from electronic database such as Pubmed. This review suggests teamwork, communication skills, and a 
foundation of safety knowledge as the basic safety competencies for workers based on the competencies being most discussed. The review process suggests the 
possibility of future research regarding safety competencies after a catastrophic event such as the Corona Virus disease pandemic and sustainability of
Organisational safety regarding human-machine integration.
DOI: 10.17632/z4ry54hccb
title: Extreme thunderstorm ground enhancements registered on Aragats in 2023

description: We present the catalog of thunderstorm ground enhancements (TGEs) collected by 24/7 monitoring of various particle fluxes, environmental parameters, and near-surface electric fields on the slopes of Mt. Aragats in Armenia in 2023. Previously, we published in Mendeley the catalog of TGE events registered in 2013-2022. In the posted dataset are shown 12 parameters of 55 TGEs observed in 2023. From the links to each TGE event, all multivariate measurements from the hundreds of registration channels are available. We present our measurements on a user-friendly site, allowing further correlation analysis by colleagues worldwide. The users are provided with multivariate data to continue the research and come to new interesting physical results. The survey of TGE physics and TGE selection procedure users can be found in the paper attached to the dataset, the details of Aragats station facilities, and data analysis methods in the WiKI section of ADEI, accessible from links in the dataset.

EXEL file description: TGE dataset for 2023

In the first column of the table, we put the date of the TGE. In the second - the links to the TGE picture at the ADEI data analysis platform. From these links whole database with hundreds of measuring channels operated from 2008 (in 2008-2013 without electric sensors and weather stations) is available. In the third to fifth columns of the table, we show the TGE significance - the percent of flux enhancement relative to fair weather value measured just before TGE. 3 particle detectors were used, plastic scintillators with 1 m2 area and thicknesses of 1,3 and 5 cm. In the sixth and seventh columns, we post the outside temperature and the dew point. In the eighth column, we show the distance to the cloud base in meters. In the ninth column, we show the strength of the near-surface electric field (NSEF) measured on the maximum of the TGE by the EFM-100 sensor of BOLETEK company. In the tenth column, we post the minimum and maximum NSEF values measured during TGE. In the eleventh column, we show the distance to the nearest lightning flash that occurred during TGE. In the twelfth column, we put the code 1 if a lightning flash abruptly terminated TGE and 0 if it didn’t. In the 13th column is the time of the TGE start, and in the 14th is - the TGE duration.
DOI: 10.17632/vtpjk492xz
title: Data for: Cenozoic cooling history of the North Qilian Shan, northern Tibetan Plateau, and the initiation of the Haiyuan fault: Constraints from apatite- and zircon-fission track thermochronology

description: Apatite fission tracks data of samples from the restraining bend of the central segment of Haiyuan fault in north Tibet
DOI: 10.17632/c8x8pgpdz2
title: Dataset for: A spatial cost-benefit-externality modelling framework for siting of variable renewable energy farms: A case in Bohol, Philippines

description: These datasets support the findings of the study titled “A spatial cost-benefit-externality modelling framework for siting of variable renewable energy farms: A case in Bohol, Philippines.” This study introduces a four-stage energy modelling framework for siting variable renewable energy farms using Geographic Information System and Cost-Benefit Analysis. There are only two files in this repository. The data with the filename “Cost-Benefit-Externality Model” holds the implementation of the model in assessing the viability of VRE in the province of Bohol. Input parameters of the model can be varied in this file. The data with the filename “Sensitivity Analysis” contains the sensitivity analysis results we conducted for the economical parameters of the model.
DOI: 10.17632/kz9nr385gz
title: Data for: Weight-Bearing in Ankle Fractures: UK adherence to the NICE Guidance

description: Map of collaborators
DOI: 10.17632/dmm4gnx5w7
title: Global nutrient trade 1986-2020

description: Data on bilateral trade in nutrients for human consumption between countries for the period 1986-2020. Created through the combination of bilateral food trade data from COMTRADE and FAOSTAT with USDA food composition data. Adjusted for edible portion (USDA) and proportion allocated to food use (FAOSTAT food balance sheets).
DOI: 10.17632/65d7pmfzvx
title: University of Ottawa Rolling-element Dataset – Vibration and Acoustic Faults under Constant Load and Speed conditions – Spectrograms (UORED-VAFCLS-P1) 

description: Spectrograms are created from the raw data by using the short-time Fourier transform (STFT), while using a Hanning window to convert the accelerometer and microphone values into 2D images. For each raw data file, 400 spectrogram images are created with a signal length of 512. A total of 24,000 spectrogram images are created, 12,000 images for each of the accelerometer and microphone data files. The processed data are provided in the zip files as portable network graphics files (.png).
DOI: 10.17632/kg5x95gwgj
title: Jx: An open-source software for calculating magnetic interactions based on magnetic force theory

description: We describe our newly-developed open-source software, named by J_x, to perform magnetic force linear response calculations. J_x is a user-friendly and efficient tool to calculate magnetic interaction in solids and molecules. Without supercell calculation, it computes both short- and long-range interactions. It is also possible to calculate an orbital-resolved matrix form of magnetic couplings. Functionality and formalism are presented with examples. The program architecture and parallel algorithm are also described.
DOI: 10.17632/pkyn5x4tfy
title: Data for: The role of bank funding in risk transmission among Australian banks

description: We use a dataset of 420 weekly observations ranging from 31/03/2004 to 30/06/2017 over eight Australian banks. The balance sheet data are collected from the Australian Prudential Regulation Authority (APRA Monthly Banking Statistics [2017]). APRA requires deposit-taking banks to be locally incorporated and to report their accounts monthly. From these we collect total loans, total deposits, household (mortgage) and financial intermediaries loans, and resident assets. The historical, continuously compounding, return series are computed using daily closing prices and aggregated to monthly returns. All returns data are collected from Bloomberg. We use a ten year Australian bond yield (GACGB10Y), S&P ASX Australia for the market (S&P ASX index) and a trade weighted effective exchange rate index (ATWI Index).
DOI: 10.17632/3pp86gdvh4
title: Experimental study of heating and cooling of a shallow packed bed suspected to air temperatures between 300 and 773 K

description: The presented dataset comprises nine experiments conducted on a shallow packed bed with an aspect ratio of 0.5, evaluated under varying inflow configurations and fluid flow rates (see folders 1 to 9). For each experiment, the packed bed was heated from ambient temperature to approximately 773 K using hot air, with subsequent cooling with air at nearly ambient temperature. Temperature was measured using thermocouples strategically positioned below, within, and above the packed bed at various radial and axial locations. Pressure transmitters recorded the pressure drop across the packed bed, while an infrared camera monitored the surface temperature of the bed during the cooling phase, adding value to point wise measurement data of thermocouples. A particle size analysis was performed using the software ImageJ, with the results included in the "0_GeneralInformation" folder, which also contains details about the infrared measurements, sensor description etc. Additionally, the "10_AllPlots" folder provides an overview of the data from each individual measurement device, such as thermocouples and mass flow sensors, offering a quick summary of sensor outputs. 

The accompanying article, submitted in Data in Brief, shows structured data examples and detailed analyses, including examples of infrared photography as well as a comprehensive description of the experimental conditions and test setup.
DOI: 10.17632/jx8p7cmkk3
title: Potter, Bassi, & Runyan 2024 - Part 1 of 2

description: In this study, we virally labeled somatostatin-expressing neurons with the fluorophore mCherry, parvalbumin-expressing neurons with the fluorophore tdTomato, and all neurons with the calcium indicator GCaMP6f. This was done in the posterior parietal cortex (PPC) of SOM-Flp x PV-Cre mice. We imaged the spike-related calcium activity of these neurons, and used their excitation spectra to identify them post hoc. The data posted includes 4 of 7 mice, and dated imaging sessions for each mouse.
DOI: 10.17632/m22d8mtp9r
title: Ansia et al 2021 Supplemental material

description: Supplemental data for Ansia et al, J Dairy Sci. 2021. "Nutrient digestibility and endogenous protein losses in the foregut and small intestine of weaned dairy calves fed calf starters with conventional or enzyme-treated soybean meal"
DOI: 10.17632/xmbxhscgpr
title: Time Series Dataset for Modeling and Forecasting of N2O in Wastewater Treatment

description: This dataset presents two years of high-resolution nitrous oxide (N2O) measurements for time series modeling and forecasting in wastewater treatment plants (WWTP). The dataset comprises frequent, real-time measurements from a full-scale WWTP, with a sample interval of 2 minutes, making it ideal for developing models for real-time operation and control. This comprehensive bio-chemical dataset includes detailed influent and effluent parameters, operational conditions, and environmental factors. Unlike existing datasets, it addresses the unique challenges of modeling N2O, a potent greenhouse gas, providing a valuable resource for researchers to enhance predictive accuracy and control strategies in wastewater treatment processes. Additionally, this dataset significantly contributes to the fields of machine learning and deep learning time series forecasting by serving as a benchmark that mirrors the complexities of real-world processes, thus facilitating advancements in these domains. We provide a detailed description of the dataset along with a statistical analysis to highlight its characteristics, such as nonstationarity, nonnormality, seasonality, heteroscedasticity, structural breaks, asymmetric distributions, and intermittency, which are common in many real-world time series datasets and pose challenges for forecasting models.
During data collection and merging, some data was initially missing. However, it has been recovered and included in version 4. Additionally, both comma-separated and semicolon-separated versions are now available.
DOI: 10.17632/32kz25fzy9
title: Data for: Population genomic diversity and structure in the golden bandicoot: a history of isolation, extirpation, and conservation

description: Using genetic information to develop and implement conservation programs is vital for maintaining biodiversity and ecosystem resilience. Evaluation of the genetic variability within and among remnant populations can be used to inform management of both natural and translocated populations to maximise species’ adaptive potential, mitigate negative impacts of inbreeding, and subsequently minimise risk of extinction. Here we use reduced representation sequencing to undertake a genetic assessment of the golden bandicoot (Isoodon auratus), a threatened marsupial endemic to Australia. The currently recognised taxon consists of three subspecies distributed among multiple natural and translocated populations. After confirming the genetic distinctiveness of I. auratus from two closely related taxa, I. fusciventer and I. macrourus, we identified four genetic clusters within I. auratus. These clusters exhibited substantial genetic differentiation (pairwise FST values ranging from 0.1804 to 0.65, pairwise DXY ranging from 0.1 to 0.168), reflecting long-term isolation of some populations on offshore islands and the influence of genetic drift. Mainland natural populations in the west Kimberley region had the highest genetic diversity and the largest contribution to overall allelic and gene diversity compared to both natural and translocated island populations. A population translocated to Guluwuru Island in the Northern Territory had the lowest genetic diversity. Overall, our data suggest that considering genetically diverged  island populations can appear genetically unique due to genetic drift and this needs to be taken into account when considering genetic diversity in conservation efforts to maintain overall genetic diversity of the species as ‘unique’ units without evidence of adaptive differentiation could be problematic for their conservation. We effectively demonstrate how genomic information can guide practical encourage managers to incorporate genomic information into conservation planning, especially when declining species are represented by multiple isolated populations.
DOI: 10.17632/gxhv2dsb6d
title: Data for: Suspicious Ultrasound Characteristics Correlate with Multiple Factors that Predict Central Lymph Node Metastasis of Papillary Thyroid Carcinoma: Significant Role of HBME-1

description: These data provide detail ultrasound and pathology information in thyroid cancers.
DOI: 10.5061/dryad.dn4676s
title: Data from: Analysis-ready datasets for insecticide resistance phenotype and genotype frequency in African malaria vectors
DOI: 10.17632/gptgtb46zs
title: Trust to PI E-wallet (R)

description: Raw Data
DOI: 10.17632/sv77pxn7p3
title: Modified Relion 3.0 software and Matlab scripts
DOI: 10.17632/fbw5r48r73
title: Student’s performance dataset on 21st-century thinking skills in developing physics ability assessment

description: This is a student performance dataset to assess 21st-century thinking skills in physics. The dataset comprises physics ability in critical and creative thinking and students’ responses to the test instrument regarding its usefulness and practicality.
DOI: 10.17632/2kmmjp4tmm
title: Improved predictions of antigen presentation and TCR recognition with MixMHCpred2.2 and PRIME2.0 reveal potent SARS-CoV-2 CD8+ T-cell epitopes. Gfeller et al

description: Supplementary Tables.

Table S1: List of HLA-I peptidomics samples considered in this work, related to Figure 1.
Table S2: List of HLA-I ligands used to train MixMHCpred2.2, related to Figure 2.
Table S3: List of peptides including both HLA-I ligands (i.e., positives) and random peptides (i.e., negatives) used to benchmark MixMHCpred2.2, related to Figure 2. The HLA-I ligands in the first ten datasets come from Gfeller et al. The HLA-I ligands in the last eleven datasets come from Pyke et al.
Table S4: List of immunogenic and non-immunogenic peptides used to train PRIME2.0, related to Figure 3.
Table S5: Information about SARS-CoV-2 peptides and donor samples used in T-cell assays, related to Figure 4. (A) List of 213 peptides from the SARS-CoV-2 proteome included in the peptide pool. (B) List of the 15 most common HLA-I alleles used to make predictions. (C) Information about the six donors used to screen SARS-CoV-2 peptides for immunogenicity.
Table S6: List of TCR sequences and UMI counts (alpha and beta chains) obtained from CD8+ T cells recognizing seven SARS-CoV-2 epitopes, related to Figure 4.
DOI: 10.5061/dryad.nk143
title: Data from: Population genetic structure in a social landscape: barley in a traditional Ethiopian agricultural system
DOI: 10.17632/tmcbjn694m
title: Carbon Emission Dataset for Hub Location Problem

description: These datasets contain carbon emission amount for transporting a unit between cities via airway. We generate from the well-known CAB and USA423 datasets. The generation methodology is acquired from Smart Freight Centre (Smart Freight Centre (2021).Global Logistics Emissions Council Framework for Logistics Emissions. Technical Report, Global Logistics Emissions Council.).
DOI: 10.6084/m9.figshare.28103579.v1
title: Chronic nitrogen legacy in the aquifers of China

description: The nitrate concentration and isotope data of Chinese groundwater
DOI: 10.17632/35b6b33jpb
title: Data for: Pathways for Low Carbon Nigeria in 2050 By Using NECAL2050

description: Nigeria Energy Calculator 2050 (NECAL2050) Model.
DOI: 10.17632/gyc2fp8hh4
title: Inter-Country Input-Output table that captures processing trade in China

description: Please cite: Zhang, Z., Meng, J., Zheng, H., Zhu, K., Du, H., Guan, D. (2020) Production globalization makes China’s exports cleaner. One Earth.
DOI: 10.17632/5mgc6pm455
title: Accounting App Acceptance

description: Accounting App Acceptance
DOI: 10.17632/mrtn2bpgwf
title: Correlation between solar radiation and Covid-19

description: Our hypothesis was that solar radiation caused the Virus (SARS-CoV-2) to have been activated. This data compares information about the correlations between the solar activity and the covid cases. The data allows us to estimate the correlation that exists between the cases of Covid-19 and the solar radiation emitted by the Sun. We find that the correlation is close to one, that is, there is a direct relationship, since in the period of the Pandemic Outbreak the cycle Solar was entering its most passive phase and therefore solar radiation is less active. Quite the contrary in very active periods that affect the reproductive cycles of some animals, plants and people.
DOI: 10.17632/6grcgcp4vj
title: EnergyEfficientDistFlowShop

description: Processing times,setup times,due dates,energy consumption rate and speed values are given
DOI: 10.17632/j6c63s927b
title: Forward Kinematics of a 5-DOF Delta-type Parallel Manipulator. MATLAB Script

description: This dataset presents a MATLAB m-file that solves the forward kinematic problem for a 5-DOF Delta-type parallel manipulator, based on the 4-DOF robot, introduced in paper https://www.doi.org/10.3103/S1052618819030105 in Fig. 4 of the paper (one can also consider paper https://www.doi.org/10.1134/S0235711919030106 or https://www.elibrary.ru/item.asp?id=37462952 for the original version in Russian). The 5-DOF manipulator differs from the 4-DOF one by an additional RUPUR kinematic chain, that provides the output link with an additional rotational DOF.
The corresponding paper describing the manipulator design and the applied forward kinematics algorithm is going to appear soon: please check the list of works at https://www.orcid.org/0000-0002-3928-5440.

The dataset includes script "fkp.m," which includes three sections:
1. Symbolic calculations. This section generates symbolic expressions used in the subsequent numerical computations.
2. Numerical calculations. This section considers an example of forward kinematics.
3. Inverse kinematics. This section checks the solutions obtained in the previous step.