cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/69mtxvt8zx.1
title: RegTech: Technology-Driven Compliance and its Effects on Profitability, Operations, and Market Structure

description: This is the dataset for the paper titled "RegTech: Technology-Driven Compliance and its Effects on Profitability, Operations, and Market Structure"
DOI: 10.17632/69mtxvt8zx.2
title: RegTech: Technology-Driven Compliance and its Effects on Profitability, Operations, and Market Structure

description: This is the dataset for the paper titled "RegTech: Technology-Driven Compliance and its Effects on Profitability, Operations, and Market Structure"
DOI: 10.17632/w7f5jrtrrs.1
title: Development and Validation of an Advertisement Persuasiveness Scale (APS)

description: the current data is for developing a scale named "Advertisement Persuasiveness Scale"
The following data shows a) CFA analysis of the items, b) total scale items and reviewer comments 3) AMOS output
DOI: 10.17632/vf65kjf75b.1
title: Serum metabolome differences associated with subclinical intramammary infection caused by Streptococcus agalactiae and Prototheca spp. in multiparous dairy cows - Supplementary Tables

description: Supplementary Table S1. Composition of the total mixed ratio (TMR) provided to the animals. 
Supplementary Table S2. Results from ANOVA (F-values and P-values) for the non-representative serum metabolites expressed as μmol/L. 
Supplementary Table S3. Fold change for the representative serum metabolites expressed ad log10(Group A/ Group CTR), log10(Group P/ Group CTR), and log10(Group P/ Group A).
DOI: 10.17632/zxwkx38y7b.1
title: MultiHypExp: A Mathematica package for expanding multivariate hypergeometric functions in terms of multiple polylogarithms

description: We present the Mathematica package MultiHypExp that allows for the expansion of multivariate hypergeometric functions (MHFs), especially those likely to appear as solutions of multi-loop, multi-scale Feynman integrals, in the dimensional regularization parameter. The series expansion of MHFs can be carried out around integer values of parameters to express the series coefficients in terms of multiple polylogarithms. The package uses a modified version of the algorithm prescribed in [1]. In the present work, we relate a given MHF to a Taylor series expandable MHF by a differential operator. The Taylor expansion of the latter MHF is found by first finding the associated partial differential equations (PDEs) from its series representation. We then bring the PDEs to the Pfaffian system and further to the canonical form, and solve them order by order in the expansion parameter using appropriate boundary conditions. The Taylor expansion so obtained and the differential operators are used to find the series expansion of the given MHF. We provide examples to demonstrate the algorithm and to describe the usage of the package, which can be found in this url https://github.com/souvik5151/MultiHypExp.
DOI: 10.17632/3mfr99chzm.1
title: Correlating feed efficiency with ruminal bacterial, fungal and archaeal community composition in dairy cows over two lactations

description: Previous work by our group found that the rumen bacterial community is dynamic over the course of lactation and that high and low milk production efficiency (MPE) cows have different microbiota with specific taxa associated with either phenotype. However, this work did not consider the ruminal fungal and archaeal communities. To address this, we characterized the ruminal fungal and archaeal communities to determine if these microbial populations exhibit properties similar to that of the rumen bacteria with respect to MPE over time. Our results show a decrease in fungal diversity over the course of both lactation cycles with an increase during the transition period and the fungal community had only a few taxa associated with efficiency. 
For the ruminal archaea, we found no change in diversity across both lactation cycles and only taxa in the genus Methanospera were found to be differentially abundant in high MPE cows. Additionally, given that our previous study used 454 pyrosequencing, we also sought to determine if a resequencing of the bacterial community using Illumina-based technology would alter our previous findings. We found that the ruminal bacterial community remained dynamic over the course of lactation, with some minor differences in taxa associated with efficiency. Overall, our results show that the rumen bacterial community is the primary microbial driver of host efficiency and that the rumen fungal and archaeal communities have little association with efficiency. Our resequencing analysis of the ruminal bacteria using Illumina-based technology demonstrates no significant deviations from our original broad conclusions with the exception of some specific taxonomic associations with efficiency.
DOI: 10.17632/f6kwjvg8gw.1
title: BSMArt: Simple and fast parameter space scans

description: We introduce BSMArt, a python program for the exploration of parameter spaces of theories Beyond the Standard Model. Especially designed for use with the SARAH family of tools, it is also sufficiently flexible to be used with a wide variety of external codes. BSMArt contains the first public release of the Active Learning scan by the same authors; but contains several additional scanning algorithms, ranging from the very simple to MultiNest and Diver. A BSMArt scan can be set up in a matter of minutes with only minimal editing of configuration files; installation scripts for all relevant tools and examples are provided.
DOI: 10.17632/ztv2nd42f9.1
title: HRData

description: Contains raw heart rate data of beef grazing heifers as well as an R script to hard filter it
DOI: 10.17632/ztv2nd42f9.2
title: An alternative tool for heart rate data processing in cattle

description: Contains raw heart rate data of beef grazing heifers as well as an R script to hard filter it
DOI: 10.17632/4xm52ybv3g.1
title: IkBz is a dual-use coactivator of NFkB and POU transcription factors

description: Uncropped Western blots
DOI: 10.17632/d4rrfy3dy4.1
title: PyProcar: A Python library for electronic structure pre/post-processing

description: The PyProcar Python package plots the band structure and the Fermi surface as a function of site and/or s,p,d,f - projected wavefunctions obtained for each k-point in the Brillouin zone and band in an electronic structure calculation. This can be performed on top of any electronic structure code, as long as the band and projection information is written in the PROCAR format, as done by the VASP and ABINIT codes. PyProcar can be easily modified to read other formats as well. This package is particularly suitable for understanding atomic effects into the band structure, Fermi surface, spin texture, etc. PyProcar can be conveniently used in a command line mode, where each one of the parameters define a plot property. In the case of Fermi-surfaces, the package is able to plot the surface with colors depending on other properties such as the electron velocity or spin projection. The mesh used to calculate the property does not need to be the same as the one used to obtain the Fermi surface. A file with a specific property evaluated for each k-point in a k-mesh and for each band can be used to project other properties such as electron–phonon mean path, Fermi velocity, electron effective mass, etc. Another existing feature refers to the band unfolding of supercell calculations into predefined unit cells.
DOI: 10.17632/d4rrfy3dy4.2
title: Expanding PyProcar for new features, maintainability, and reliability

description: This paper presents a comprehensive update to PyProcar, a versatile Python package for analyzing and visualizing density functional theory (DFT) calculations in materials science. The latest version introduces a modularized codebase, a centralized example data repository, and a robust testing framework, offering a more reliable, maintainable, and scalable platform. Expanded support for various DFT codes broadens its applicability across research environments. Enhanced documentation and an example gallery make the package more accessible to new and experienced users. Incorporating advanced features such as band unfolding, noncollinear calculations, and derivative calculations of band energies enriches its analytic capabilities, providing deeper insights into electronic and structural properties. The package also incorporates PyPoscar, a specialized toolkit for manipulating POSCAR files, broadening its utility in computational materials science. These advancements solidify PyProcar's position as a comprehensive and highly adaptable tool, effectively serving the evolving needs of the materials science community.
DOI: 10.17632/tk68xz7nmh.1
title: Supplementary figures for Cladribine (2-CdA) improves cutaneous manifestations, DLQI and MC-QoL of patients with mastocytosis

description: This set of supplementary figures illustrates additional content of the article "Cladribine (2-CdA) improves cutaneous manifestations, DLQI and MC-QoL of patients with mastocytosis"
DOI: 10.17632/gx3jss2bbz.1
title: Steady-State Analysis of the 1970 Windscale Nuclear Criticality Incident

description: In accordance with EPSRC funding requirements, this supplementary dataset provides all supporting data used to create figures in the following reference:

Daniels, J., Williams, M.M.R., Eaton, M.D., 2023. Steady-State Analysis of the 1970 Windscale Nuclear Criticality Incident. Progress in Nuclear Energy, Under Review.

This dataset provides the results of computational simulations which model several ('steady-state') snapshots of the nuclear criticality incident that occurred at the Windscale Works in 1970. Each folder of this dataset has either a single python script, or multiple python scripts accompanied by a readme file, which the viewer can run to generate the figures presented in the above reference.
DOI: 10.17632/x7syr2txsd.1
title: Clinamen2: Functional-style evolutionary optimization in Python for atomistic structure searches

description: Clinamen2 is a versatile functional-style Python implementation of the covariance matrix adaptation evolution strategy (CMA-ES) utilizing Cholesky decomposition. On top of a problem-agnostic core algorithm, the software package offers a suite of utilities and library code enabling applications to important atomistic structure searches. Features include massively distributed computation and the BI-Population restart scheme. This article details the general code structure and introduces examples that illustrate some relevant applications for the materials science and chemistry worlds, including interfacing to density-functional-theory codes and machine-learned surrogate models. The functional design renders the code modular and adaptable, and makes the creation of interfaces to other atomistic software straightforward.
DOI: 10.17632/dyvns7gnwy.1
title: Pineline: Industrialization of high-energy theory predictions

description: We present a collection of tools efficiently automating the computation of large sets of theory predictions for high-energy physics. Calculating predictions for different processes often require dedicated programs. These programs, however, accept inputs and produce outputs that are usually very different from each other. The industrialization of theory predictions is achieved by a framework which harmonizes inputs (runcard, parameter settings), standardizes outputs (in the form of grids), produces reusable intermediate objects, and carefully tracks all meta data required to reproduce the computation. Parameter searches and fitting of non-perturbative objects are exemplary use cases that require a full or partial re-computation of theory predictions and will thus benefit of such a toolset. As an example application we present a study of the impact of replacing NNLO QCD K-factors with the exact NNLO predictions in a PDF fit.
DOI: 10.17632/2fnb4vmkrm.1
title: The distributed no-idle permutation flowshop scheduling problem with due windows algorithms

description: "The Distributed No-Idle Flowshop Scheduling Problem with Due Windows (DNIFSPDW)" addresses an extension of the Distributed Permutation Flowshop Scheduling Problem with No-Idle and Due Window constraints. The objective of DNIFSPDW is to determine the optimal sequence of job assignments to factories and the sequence in which they should be performed in each factory. This optimal sequence should ensure the minimum total weighted earliness and tardiness (TWET) penalties while also taking into account the due windows. The inclusion of a total weighted tardiness objective in the flowshop scheduling problem (FSP), a known NP-hard issue, means that the DNIPFSPDW also inherits this computational complexity, classifying it under the NP-hard category. As a result, exact solution methods are not efficient for large-scale instances of this problem. For such intricate challenges, metaheuristic approaches are more appropriate as they can achieve high-quality solutions in reasonable computation times. Notably, the iterated greedy metaheuristic has proven effective for most PFSPs. Therefore, two hybrid iterated greedy algorithms namely hybrid iterated greedy-tabu search and hybrid iterated greedy-local search are developed for the DNIPFSPDW.
The two attached documents contain the codes for the algorithms discussed. Each file includes the data developed and used to evaluate the distributed no-idle flowshop scheduling problem with due windows. For detailed instructions on executing these codes, please refer to the enclosed Readme file. The document titled "Java Codes" houses the executable codes.
DOI: 10.17632/3rsd8mypwt.1
title: Fault (re)activation and fluid-induced seismicity: an example from the Val d'Agri intermontane basin (southern Italy)

description: The agri*.prm files are the input files used in ASPECT 2.3.0 for our Val d'Agri model, to simulate the compressional-extensional history of the region, based on the assumptions described in our paper.
The Graph*.m files are the Matlab files to generate the graphs shown in the paper.
rheo.py is the file used to calculate the Coulomb stress values shown in Fig.8.
VA-seismicity_2001-2019.csv is the earthquake database obtained by merging the catalogs in Serlenga and Stabile (2019), Stabile et al. (2021), and Balasco et al. (2021). In this catalog, only the events in the dashed box of Fig.1 are included. For each event, we provide the origin time, latitude, longitude and depth.
DOI: 10.17632/tpydbv5trj.1
title: Durable Gifts

description: Participants (n = 644) reported giving more durable gifts to committed relationship partners than to new relationship partners (even when controlling for the cost of the gifts). Study 1 focused on friendship; Study 2 focused on romantic relationships. In both studies, participants wrote autobiographical narratives and completed questionnaires about gift exchange. The present research extends previous work on inefficiency in gift exchange and has practical importance for marketers.
DOI: 10.17028/rd.lboro.24948234
title: Towards a sustainable integrated transport system architecture: light rail development

description: Towards a sustainable integrated transport system architecture: light rail development© Anna Chang
DOI: 10.18419/darus-3867/1
title: 2022-10-11 - SLAC pH 3.0 35 degrees C.txt

description: :unav
DOI: 10.18419/darus-3867/2
title: 2022-10-11 - SLAC pH 3.0 45 degrees C.txt

description: :unav
DOI: 10.18419/darus-3867/3
title: 2022-10-11 - SLAC pH 3.0 30 degrees C.txt

description: :unav
DOI: 10.17632/7j6r44p8vc.1
title: Subcallosal area 25-its responsivity to the stress and its bidirectional effects on motivation

description: Behavioural and cardiovascular data showing anhedonia- and anxiety-like response to increase of cortisol in area 25 of subcallosal anterior cingulate cortex. Behavioural data showing increase and decrease in motivation and consumption after inactivating and over-activating this region.
DOI: 10.18419/darus-3867/4
title: SLAC_kinetic_assay_45.0C.omex

description: :unav
DOI: 10.18419/darus-3867/5
title: 2022-10-11 - SLAC pH 3.0 25 degrees C.txt

description: :unav
DOI: 10.18419/darus-3867/6
title: 2022-10-11 - SLAC pH 3.0 40 degrees C.txt

description: :unav
DOI: 10.18419/darus-3867/7
title: SLAC_kinetic_assay_40.0C.omex

description: :unav
DOI: 10.18419/darus-3867/8
title: ABTS_standard_45.0C.json

description: :unav
DOI: 10.18419/darus-3867/9
title: SLAC_kinetic_assay_30.0C.omex

description: :unav
DOI: 10.18419/darus-3867/10
title: ABTS_standard_40.0C.json

description: :unav
DOI: 10.18419/darus-3867/11
title: ABTS_standard_30.0C.json

description: :unav
DOI: 10.18419/darus-3867/12
title: SLAC_kinetic_assay_25.0C.omex

description: :unav
DOI: 10.18419/darus-3867/13
title: ABTS_standard_25.0C.json

description: :unav
DOI: 10.18419/darus-3867/14
title: ABTS_standard_35.5C.json

description: :unav
DOI: 10.18419/darus-3867/15
title: SLAC_kinetic_assay_35.5C.omex

description: :unav
DOI: 10.18419/darus-3867/16
title: requirements.txt

description: :unav
DOI: 10.18419/darus-3867/17
title: slac_kinetics.ipynb

description: :unav
DOI: 10.18419/darus-3867
title: Data for: 'EnzymeML-based modeling workflow: from raw data to kinetic parameters'

description: Kinetic parameter estimates for small laccase (SLAC) catalyzed oxidation of ABTS, investigated across the temperature range between 25 °C and 45°C. This dataset contains the following files: Unprocessed absorption data from the respective enzyme assays (.txt) Derived calibration data for the respective calibration measurements (.json) EnzymeML Documents (.omex) with Experimental conditions Measurement data Estimated parameters and applied models Analysis notebook (.ipynb) Python requirements.txt for all dependencies
DOI: 10.6084/m9.figshare.24962451
title: Supplementary files INTENDED study

description: Supplementary files supporting the manuscript titled "<b>Oral histidine affects gut microbiota and MAIT cells improving glycemic control in type 2 diabetes patients</b>"
DOI: 10.6084/m9.figshare.24962451.v1
title: Supplementary files

description: Supplementary files supporting the manuscript titled "<b>Oral histidine affects gut microbiota and MAIT cells improving glycemic control in type 2 diabetes patients</b>"
DOI: 10.6084/m9.figshare.24962451.v2
title: Supplementary files INTENDED study

description: Supplementary files supporting the manuscript titled "<b>Oral histidine affects gut microbiota and MAIT cells improving glycemic control in type 2 diabetes patients</b>"
DOI: 10.6084/m9.figshare.24967536
title: <b>Rapid</b><b>Analysis of </b><b>FMR1</b><b>5'UTR CGG Repeat Expansions</b><b>by long-read PCR and </b><b>Oxford Nanopore Third Generation Sequencing</b>

description: <b>Background:</b> Conventional genetic testsfor fragile X syndrome still presentedsome limitations, such ascomplicated proceduresand large sample amount for Southern blot, and limitied mutation types for triplet repeat-primed polymerase chain reaction(TP-PCR). Currently,third-generation long-read sequencing is a potential technology for thesimultaneous detection of CGG repeat expansions, point mutations, and deletions. However, no simple method exists for obtainingthe target long-fragment CGG repeat region with ultra-high GC content forthird-generationsequencing.<b>Methods:</b><b> </b>We developed a rapid long-fragment ultra-high GC polymerase chain reaction (PCR) amplificationapproach to directly prepare long-readlibraries, followed by Oxford Nanopore sequencingto detect the full spectrum of FMR1 5′UTR CGG repeat mutations. This approach was applied to 10 standard cell line samples, 53 retrospectiveclinical blood samples, and 9 prenatal amniotic fluid samples.<b>Results:</b> We found that the FMR15’UTR CGG expansion genotypes identified usingour approach were completely consistentwith the results of TP-PCR inall10 cell line samples,53 clinical samples, and 9 prenatal amniotic fluid samples. The recognizable number of CGG repeatsin normal and pre-mutation types was also significantly correlated(male cell lines, n=3×triplicate, R2=0.9996; femalecell lines, n=4×triplicate, R2=0.9972; clinical male blood samples, n=11, R2=1.0000; clinical femalebloodsamples, n=22, R2=0.9854).<b>Conclusion: </b>This studyprovided a simple andcost-effective approachbased on long-fragment ultra-high GC PCRto obtain the FMR1 5′UTR CGG repeatregion and direct library for Oxford Nanopore Third Generation Sequencing, and it may be used in Fragile X syndrome diagnosis and prenatal care, and as a reference method for detecting other previously unsolved diseases caused by short tandem repeat expansions with ultra-high GC content, such as myotonic dystrophy and Huntington’ s disease.
DOI: 10.17632/s829ccsg6f.1
title: Meta learning addresses noisy and under-labeled data in machine learning-guided antibody engineering. Minot & Reddy. (2 of 2)

description: Raw deep sequencing data for 5A12 high throughput screen in 'Meta Learning Improves Robustness and Performance in Machine Learning-Guided Protein Engineering' by Minot & Reddy (2024)
DOI: 10.17632/g4np9v25t7.1
title: Citizens living in localities close to tow petrochemical sites (Castellón and South of Tarragona)

description: The dataset collects the responses to a questionnaire addressed to citizens living in the localities closest to the South of Tarragona petrochemical site. A total of 740 valid responses were received by simple random sampling.
DOI: 10.17632/56h8gp94fj.1
title: Meta learning addresses noisy and under-labeled data in machine learning-guided antibody engineering

description: Raw deep sequencing data for 4D5 high throughput screen in 'Meta Learning Improves Robustness and Performance in Machine Learning-Guided Protein Engineering' by Minot & Reddy (2024)
DOI: 10.17632/hrfwsyyk5d.1
title: Data for "The effects of nickel chloride on papillary muscle contractility under normothermic and hypothermic conditions: comparison of active and hibernating ground squirrels (Urocitellus undulatus) with Wistar rats. "

description: This is a data set used for manuscript preparation entitled: "The effects of nickel chloride on papillary muscle contractility under normothermic and hypothermic conditions: comparison of active and hibernating ground squirrels (Urocitellus undulatus) with Wistar rats. " and submitted to Journal of Thermal Biology.
DOI: 10.17632/kdn4y6vh9t.1
title: COMBUSTIBILIBILITY OF NON-COMMERCIAL Corymbia AND Eucalyptus WOOD

description: Thermogravimetric analysis (TGA) of the wood was determined in a thermal analyzer DTG-60H (Shimadzu Co., Japan). The parameters used were a heating rate of 5ºC.min-1, from ambient initial temperature to a final temperature of 550°C, in high-purity oxygen (99.99%), with a flow rate of 50 mL.min-1, using a sample mass of 4 mg per sample with a particle size smaller than 200 mesh.
DOI: 10.17632/ybghmk3977.1
title: Light Hydrocarbon Geochemistry of Niger Delta Crude Oil: Implication for Source, Thermal Maturity, and In-Reservoir Alteration Processes.

description: Gas chromatography-mass spectrometry was used to analyze 26 oil samples from several sub-basins for their light hydrocarbons (LHs) fraction to ascertain any compositional differences in terms of source inputs, thermal maturation, and in-reservoir alteration. Mango's invariant K1 parameter clearly delineates the Niger Delta oils into two homologous sets, consistent with the plot of ph/nC18 vs pr/nC17. The studied oils appear to be modestly distributed within Thompson's (Kerogen Type) curves model, with heptane values ranging from 0.64 to 22.04%, on average 16.19%. The oils are mostly plotted within the aromatic and aliphatic curves of Thompson's model. The LHs fraction of the studied oils shows an overall 6-ring-member preference, suggesting a major contribution from higher plants. Conclusively, the studied Niger Delta oils reflect expulsions from different source rocks formed from terrigenous and mixed terrigenous/marine organofacies that were originally deposited in oxic to sub-oxic settings and of early to peak oil thermal maturity. Varying degrees of evaporative fractionation were established in most samples from Greater Ughelli as evidence of gas washing in the depobelt.