cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9870521.v1
title: On-load Back-EMF Optimization Based on the Back-EMF MST Method and Parametric Optimization

description: Abstract This paper proposes an optimal design for a surface mounted permanent magnet synchronous machine (SM-PMSM) based on parametric optimization process to reduce the on-load Back-EMF distortions caused by an increase in the electromagnetic load and in the saturation. Unlike conventional methods described in the literature, the optimization approach proposed here accounts for the saturation effects, air gap flux density distribution and the evaluation of the on-load Back-EMF by means of finite element analysis, allied to the most recent on-load Back-EMF evaluation method, known as the Back-EMF MST (Maxwell stress tensor) method. Furthermore, the optimization process is performed considering either the machine's physical symmetry (based on pole numbers) and its nonevident symmetry (based on saturation effects and on the relevance of each tooth in the Back-EMF waveform), which is identified using the Back-EMF MST method. The proposed optimization process also analyzes different sets of variables based on symmetric and asymmetric tooth dimensions. The result is a machine with a reasonably improved design, higher average torque, lower torque ripple and smaller volume. In addition, the on-load Back-EMF is almost identical to the no-load one. Hence, the on-load cogging torque is almost identical to the no-load cogging torque.
DOI: 10.17632/2pgtjtvb4p
title: Microchemical and Sulfur Isotope Variations in Pyrite-Marcasite

description: LA-ICP-MS trace elements and LA-MC-ICP-MS sulfur isotopes
DOI: 10.17632/995y7ymdgm
title: Revealing a High Water Abundance in the Upper Mesosphere of Mars with ACS onboard TGO
DOI: 10.6084/m9.figshare.19427048.v2
title: Raw RH Up Scan Data

description: Raw data from CAPS instrument of AS-Nigrosin mixtures.
DOI: 10.17632/745bpf597f
title: An annotated dataset for gene-melanoma relation extraction from scientific literature

description: Melanoma is the least common but the deadliest of skin cancers. This cancer begins when the genes of a cell suffer damage or fail, and identifying the genes involved in melanoma is crucial for understanding the melanoma tumorigenesis. To date, machine learning for gene-melanoma relation extraction from text has been limited by the lack of annotated resources.  To overcome this problem, we have exploited the information of the Melanoma Gene Database (a manually curated database of human melanoma related genes) to build an annotated dataset of binary relations between genes and melanoma entities mentioned in PubMed abstracts. The exploitability of the dataset was tested with both traditional machine learning, and neural network-based models. These models are then used to automatically extract gene-melanoma relations from the biomedical literature. Researchers can use the annotated dataset to develop and compare their own models. Moreover, the relations extracted from the literature can be integrated with existing structured knowledge to facilitate researchers in their data search.
DOI: 10.17632/ndp2n7d6mk
title: Data for: Evidence for Provenance Change in Deep Sea Sediments of the Bengal Fan: a 7 Ma record from IODP U1444
DOI: 10.17632/vf5c7vvnst
title: Digital myxoid pseudocysts are associated with osteoarthritis severity in a retrospective cohort study at a single academic institution

description: Digital myxoid pseudocysts are associated with osteoarthritis severity in a retrospective cohort study at a single academic institution
DOI: 10.17632/w35nf2fw5m
title: HF-dataset from Edge Device

description: The high-frequency (HF) data is retrieved from the Spinner U5-630 milling machine via an Edge Device. This data has a sampling rate of 2ms and hence, a frequency of 500Hz. The HF-data is from various experiments performed. There are 2 experiments performed (parts 1 and 2). The experimented part 1 has 12 .json data files and part 2 has 11 .json files. In total, there are 23 files of HF-data from 23 experiments. The HF-data has vast potential for analysis as it contains all the information from the machine during the machining process. One part of the information was used in our case to calculate the energy consumption of the machine. Similarly, the data can be used for retrieving information of torque, commanded and actual speed, NC code, current, etc. The spindle input power was varied for every experiment to analyze the effects on machining of both parts with varying geometry.
DOI: 10.17632/zmkp4x2xrg
title: Market Study Guide

description: Market Study Guide equips you with a comprehensive toolkit designed to enhance your ability to develop impactful courses. This booklet is structured into three key categories, each addressing a crucial aspect of market exploration and strategy development:

Market and Industry Tools: Through this module, you’ll apply methods that deepen your understanding of the industry landscape. You'll learn to analyze current trends and forecast future market directions, uncovering new opportunities to stay ahead. By leveraging these insights, you can align your courses with emerging demands and drive innovation.

Customer Understanding Tools: This section enables you to view your offerings from the perspective of your customers. By exploring their mindsets, goals, motivations, and lifestyles, you will gain actionable insights to create more seamless and engaging experiences for your audience. This approach helps you refine your strategies to resonate with customer needs and discover new ways to connect with them.

Competitor and Brand Tools: Here, you’ll focus on analyzing competitors and identifying strengths you can adapt to your advantage. Simultaneously, you’ll assess your brand’s unique attributes, strengths, and areas for improvement. This dual perspective ensures that you can refine your services and position your brand more effectively in the market.

Together, these tools provide a structured and actionable pathway for designing courses that not only meet market demands but also elevate your brand's value and impact.
DOI: 10.6084/m9.figshare.28307495.v1
title: <b>Rheumatology Training and Awareness Among Undergraduates in Indian Medical Schools: A Multicenter Observational Study</b>

description: This is the data pertaining to the study on Rheumatology Training and Awareness Among Undergraduates in Indian Medical Schools.
DOI: 10.17632/gr2yb7mtb4
title: Indicators of sickness absence among public servants submitted to medical examinations at a federal university in western Pará, Brazil

description: Absenteeism due to sickness is characterized by the absence of the worker from their work activities due to health conditions that compromise their ability to perform their duties. This observational, cross-sectional and descriptive study aimed to identify the indicators of absenteeism due to sickness and accidents at work among public servants of a federal university located in the west of the state of Pará, Brazil. For this, data on sick leave granted by the medical experts of the Integrated Subsystem of Health Care of the Public Servants – Tapajós (SIASS Tapajós) were analyzed, in the period from January 2019 to December 2023. The prevalence of absenteeism due to sickness was 10.53% in the period studied. The frequency index was 16.73%, and the duration of absenteeism reached 52.62 days, with an average of 33.12 days per absence. The evaluation of absenteeism rates highlighted a higher prevalence among women, administrative technicians in education and public servants in the age group of 31 to 40 years. Accidents at work in the analyzed period affected 9 public servants, totaling 124 days, which corresponds to 0.41% of the total number of days of absence related to health. The prevalence of absenteeism due to accidents at work was 0.17%, with an average duration of 13.78 days. The variations identified in the indices for the years 2020 and 2021 suggest a possible relationship with the Covid-19 pandemic.
DOI: 10.17632/wfn2c3437n
title: Vehicle trajectory data processed from the Waymo Open Dataset

description: Related paper: Processing, assessing, and enhancing the Waymo autonomous vehicle open dataset for driving behavior research (submitted to the journal Transportation research part C: emerging technologies)

Version 3 Update
1. Fix the issue of negative speed in the trajectores (note that the proportion of negative speeds is very small, it is 0.245% for speed smaller than -0.1m/s). The paired CF trajectory files (with or without large vehicles) have been updated.

Version 2 Content
1. The data processing codes 
2. CF pair trajectories where large vehicles are involved are added

Version 1 Content
This dataset is processed from the Waymo Open Dataset (perception part). This dataset includes the following content:
1. Tabular format object information (Autonomous vehicle and objects detected by Lidar such as vehicles, pedestrians, cyclists)
2. Visualized object trajectory (in the format of top view videos)
3. Tabular format paired Car Following (CF) trajectory in which the CF pairs have been carefully selected for CF behavior research
DOI: 10.6084/m9.figshare.7988147.v1
title: _dataset

description: Question Answer Dataset
DOI: 10.17632/3rj9vv3hrk
title: What a single electroencephalographic (EEG) channel can tell us about patients with dementia due to Alzheimer's disease 

description: Scientific Research for publishing the article
DOI: 10.17632/r6fsncgyh7
title: MONITOOL Project: dataset of metal concentrations in seawater from European estuaries and coastal sites measured by Diffusive Gradients in Thin-films (DGT) passive samplers and spot sampling.

description: This dataset presents metal concentrations in transitional and coastal waters measured in Diffusive Gradients in Thin-films (DGT) passive samplers by Inductively Coupled Plasma Mass Spectrometry (ICP-MS: Cd, Co, Cu, Fe, Mn, Ni, Pb, Zn) and in concurrently collected spot samples by ICP-MS (Al, Cd, Co, Cu, Mn, Ni, Pb, Zn) and Anodic/Cathodic Stripping Voltammetry (ASV/CSV: Cd, Ni, Pb) and obtained in the framework of the MONITOOL Project.
Data on seawater physico-chemical parameters is also provided (salinity, temperature, dissolved oxygen, pH, turbidity, total suspended solids, dissolved organic carbon, total organic carbon).
Sampling sites include the following ecoregions: Canary Islands, Iberian Coast, Bay of Biscay and English Channel, Celtic Sea North Sea and Western Mediterranean Sea (for detailed description of sampling sites see Caetano et al., Marine Pollution Bulletin 179 (2022) 113715).
ICP-MS and voltammetry analysis (Anodic Stripping Coltammetry: Cd and Pb; Cathodic Stripping Voltammetry: Ni) were carried out in filtered seawater (see Bersuder et al., MethodsX 8 (2021) 101462; Rodríguez et al., Science of the Total Environment 783 (2021) 147001; Amouroux et al., Environmental Sciences Europe (2023) 35:29).
Detailed description of the DGT technique and a user-friendly guidance can be found in Millán et al. (2021. A Good Practice Guide for the Use of DGTs. ITC. ISBN: 978-84-09-30846-0) and Gonzalez et al. (Science of the Total Environment 847 (2022) 157499). More info: https://www.monitoolproject.eu.
DOI: 10.17632/t53xtmknbr
title: Introducing PROFESS: A new program for orbital-free density functional theory calculations

description: Abstract We present PROFESS (PRinceton Orbital-Free Electronic Structure Software), a new software package that performs orbital-free density functional theory (OF-DFT) calculations. OF-DFT is a first principles quantum mechanics method primarily for condensed matter that can be made to scale linearly with system size. We describe the implementation of energy, force, and stress functionals and the methods used to optimize the electron density under periodic boundary conditions. All electronic energy a... Title of program: PROFESS Catalogue Id: AEBN_v1_0 Nature of problem Given a set of coordinates describing the initial ion positions under periodic boundary conditions, recovers the ground state energy, electron density, ion positions, and cell lattice vectors predicted by orbital-free density functional theory. Except for computation of the ion-ion and ion-electron terms, all other terms are effectively linear scaling. Up to ~10,000 ions may be included in the calculation on just a single processor. Versions of this program held in the CPC repository in Mendeley Data AEBN_v1_0; PROFESS; 10.1016/j.cpc.2008.07.002 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.13028207.v2
title: ColloCaid Sample Data

description: COLLOCAID SAMPLE DATAThe ColloCaid Sample Data comprises approximately 2% of the ColloCaid lexical database. The sample covers 692 strong academic English collocations (LogDice &gt;5.0) for 16 core academic lemmas used as collocation bases (or nodes): 5 nouns, 5 verbs, and 6 adjectives. The selection aims to give an overview of the range of data included in the full dataset. This includes collocations with bases classified with more than one part-of-speech tag (e.g. DEBATE, INDIVIDUAL), polysemous collocation bases giving rise to distinct collocation patterns (e.g. CODE), as well as collocation bases that evoke a very large and a very small number of collocations. The strongest eight lexical collocations listed for each base are enriched with three different curated example sentences adapted from corpora of expert academic English writing. COLLOCAID LEXICAL DATA 1.1The full ColloCaid lexical dataset consists of:• 572 core academic English lemmas (311 nouns, 184 verbs and 77 adjectives)• 32,645 academic collocations with the above lemmas• 29,028 example sentences of collocations in context Further information at http://www.collocaid.uk/<br><br>
DOI: 10.17632/8j7fwfk8g3
title: Visual number sense for real-world scenes shared by deep neural networks and humans

description: This study investigated the number perception of scenes using AlexNet. The study findings show that numerosity can be represented by the pattern of group activation of the category layer units. We believe that our study makes a significant contribution to the literature because it is the first to show that a distinct feature in visual environments, revealed by deep neural networks, can modulate human numerosity perception, supported by a group-coding mechanism.
DOI: 10.17632/rhhyvy7dk3
title: The Pythagorean Constraint on the Nontrivial Zeros of the Riemann Zeta Function

description: We propose a novel geometric-functional hypothesis explaining why the nontrivial zeros 
of the Riemann zeta function must lie on the critical line ℜ(s) = 1/2. By interpreting the 
complex argument as a vector and analyzing the constraints imposed by the Pythagorean 
theorem, we suggest that only σ = 1/2 yields a balance enabling the zeta function to reach 
zero. The approach is complemented by numerical illustrations and several related 
geometric conjectures.
DOI: 10.6084/m9.figshare.5645584.v5
title: Orthonormal polygon polynomials

description: This dataset contains orthonormal polynomials of square, heptagon, hexagon, heptagon, octagon and nonagon aperture shapes up to 8th order polynomial. The polynomials are listed in Cartesian coordinates (u, v). The dataset is .mat file for Matlab or Mathematica. Dataset1_Mathematica is optimised for easier import into Mathematica. Both files contain the same data.<br><br>This dataset is referenced in our companion paper "Orthonormalization, analysis and numerical approximation of regular N-gon apertures".
DOI: 10.17632/5wd6kvrn33
title: sex-specific DNA methylation

description: sex-specific DNA methylation differences in saliva by multiplex SNaPshot assay
DOI: 10.6084/m9.figshare.12115914.v1
title: Model weights for the Blurred Border FPN model pre-trained with ImageNet

description: This dataset contains Model weights for the Blurred Border FPN model pre-trained with ImageNet.
DOI: 10.6084/m9.figshare.14343362.v1
title: Composition of woody species with different dispersal types in long-established, middle-aged and recent forests

description: This data is associated with the publication "Woody species richness and turnover in expanding Mediterranean forests: a story of landscape legacies influenced by climatic aridity" in Landscape Ecology. "plots_forshare" includes plot characteristics of long-established, middle-aged and recent forest in the NE of Iberian Peninsula. "understory_forshare" and "canopy_forshare" include understory and canopy species abundance (measured as cover and basal area, respectively) in each plot.
DOI: 10.6084/m9.figshare.28269587.v1
title: Supplementary Material for: The Association of Niacin Use with Kidney Outcomes and Mortality

description: Introduction: Niacin is a non-statin lipid-lowering therapy that has been shown to lower triglycerides and improve other risk factors for renal outcomes. Despite these favorable data, the effect of niacin on long-term kidney outcomes remains unclear. The aim of this study is to examine the associations of niacin therapies with incident chronic kidney disease (CKD), end-stage renal disease (ESRD), and death in patients with estimated glomerular filtration (eGFR) of at least 60 mL/min/1.73 m2. Methods: In a nationwide historic cohort of 1,139,630 US Veterans with normal baseline eGFR, we examined the association of de novo prescription of niacin with incident CKD (defined as eGFR &lt;60 ml/min/1.73m2 on two occasions, separated by ≥90 days), ESRD (defined as the initiation of kidney replacement therapy), and death. Associations were examined in Cox proportional hazard models adjusted for demographics, major comorbidities, laboratory measurements, and medications. Prescription time-distribution matching was used to control for survival bias. Results: We identified 133,450 new users of niacin. Overall, patients (n=1,139,630) had a mean (standard deviation; SD) age of 60 (13) years, with 6% female, 78% White, 16% Black, and 6% Hispanic. Niacin users were more likely to be male, White, current, or former smokers, with higher frequencies of comorbidities and statin use. Niacin use (vs. non-use) was associated with a higher risk of CKD (HR: 1.08, 95% confidential interval [CI]:1.07-1.10) but a lower risk of ESRD (0.82, 0.76-0.88) and death (0.90, 0.89-0.91). Conclusions: In a large national cohort of US Veterans with normal kidney function, niacin use was associated with a lower risk of ESRD and death but with a higher risk of incident CKD, which is potentially explained by acute effects on eGFR. Further studies are needed to corroborate the potential benefits of niacin on kidney function and survival.
DOI: 10.6084/m9.figshare.23574978.v1
title: IEEE14data

description: This is the data for IEEE 14-bus system
DOI: 10.17632/b48n46bfry
title: A public dataset of overground walking kinetics and lower-body kinematics in healthy adult individuals on different sessions within one day

description: The dataset comprises raw kinetic and lower-body kinematic data (both in .c3d and .tsv) of nine healthy subjects (3 female, 6 male; M age: 27.4 years, SD 3.0; M body height: 1.74 m, SD 0.11; M body mass: 73.2 kg, SD 13.3) during overground walking. All subjects were without gait pathology and free of lower extremity pain or injuries. The .c3d files are named in the following format: S{subject_id}_S{session_id}_{trial number}_{static/gait}.c3d. Separate text files were generated for the kinematic marker trajetories {.tsv} and kinetic force signals of the first {_f_1.tsv} and second {_f_2.tsv} force plate. When using (any part) of this dataset, please cite this dataset and the original article: Horst, F., Eekhoff, A., Newell, K. M., & Schöllhorn, W. I. (2019). A public dataset of overground walking kinetics and lower-body kinematics in healthy adult individuals on different sessions within one day. Mendeley Data, v1. http://dx.doi.org/10.17632/b48n46bfry.1 Horst, F., Eekhoff, A., Newell, K. M., & Schöllhorn, W. I. (2017). Intra-individual gait patterns across different time-scales as revealed by means of a supervised learning model using kernel-based discriminant regression. PloS one, 12(6), e0179738. https://doi.org/10.1371/journal.pone.0179738 Please feel free to send us your technical questions, requests and bug reports by email: horst@uni-mainz.de
DOI: 10.17632/ft62gkx5tt
title: Sample of BRÉHAT traffic data

description: A sample of one week of train traffic on the French National Rail Network (NRN), from the BRÉHAT database of SNCF Réseau.

The data ranges from 2018-01-08 to 2018-01-14, and all files are compressed using zstandard.

The brehat files contains raw observations in json format, as a list of events.
The filteredData files contains only trains filtered by our data preparation step, each key of the array is a train number and the associated value is a list of all events for that train on that day.
Finally, the trainingData are formatted for network training: they are snapshots every 12 minutes of a list of trains, in a format described in the associated publication "Transformers à Grande Vitesse".
DOI: 10.17632/jk4dt6wprv
title: Flow Cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methods

description: Details are published in an accompanying article (17. June 2022):
Thrun, M. C., Hoffman, J., Röhnert, M., Von Bonin, M., Oelschlägel, U., Brendel, C., & Ultsch, A.: Flow Cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methods, Data in Brief, pp. 108382, DOI: https://doi.org/10.1016/j.dib.2022.108382, in press, 2022.

Data measured by flow cytometers with the feautres forward and side light scatter (FS and SS) and use the same panel of fluorescent antibody clones against the same antigens:, CD34 FITC (Fluoresceinisothiocyanate) (8G12),  CD13 PE (Phycoerythrin) (L138), CD7 PerCP-Cy5.5 (Peridinin chlorophyll protein-Cyanine5.5) (M-T701), CD56 APC (Allophycocyanin) (NCAM16.2), CD33 PE-Cy7 (Phycoerythrin Cyanine7) (D3HL60.251), CD117 AlexaFluor750〖^TM〗  (104D2D1), HLA-DR Pacific blue〖^TM〗 (Immu357), CD45 Krome Orange〖^TM〗  (J33).
Data were acquired with the following two flow cytometers:
•	Dresden: (N=44): BD FACSCanto II™, BD Biosciences (Heidelberg)
•	Marburg: (N=14 and N=50): Navios™, Beckman Coulter (Krefeld)
DOI: 10.6084/m9.figshare.17197250.v1
title: Supplementary Material for: Suggested Cutoff Point for Testosterone by Liquid Chromatography with Tandem Mass Spectrometry (LC-MS/MS) after Stimulation with Recombinant Human Chorionic Gonadotropin

description: The human chorionic gonadotropin (hCG) stimulation test that evaluates gonadal steroidogenesis is crucial in the assessment of patients with 46,XY disorders of sex development (DSD). This study aimed to determine a testosterone (T) cutoff level that indicates an adequate testicular function using LC-MS/MS after stimulation with recombinant human chorionic gonadotropin (rhCG) in a single dose. Nineteen prepubertal children with 46,XY DSD and normal T secretion were evaluated. T and dihydrotestosterone (DHT) levels were measured by liquid chromatography technique with tandem mass spectrometry (LC-MS/MS) before and 7 days after rhCG application at 250 µg. We suggest 0.89 ng/mL as the cutoff point for T after rhCG stimulation analyzed by LC-MS/MS.
DOI: 10.6084/m9.figshare.28451315.v1
title: The annotation files of the <i>Procypris rabaudi</i> genome

description: Rock carp (<i>Procypris rabaudi</i>), an endemic fish species native to the upper reaches of the Yangtze River, has experienced a significant decline in wild populations due to anthropogenic impacts such as hydropower development, overfishing, and habitat destruction. To support conservation efforts and elucidate the species' adaptive mechanisms, we conducted a comprehensive genomic analysis. Here, we present the genome annotation of <i>P. rabaudi</i>, which includes 45,784 protein-coding genes. Of these, 94.78% have been functionally annotated in at least one protein database. This dataset has been deposited in a public database to facilitate further research and conservation strategies for this endangered species.