cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ghrkj4d5kk.3
title: The Novel Paste Electrolyte Cell used for Testing Paraloid Coating on Bronze

description: The data include the results of EIS measurements with paste electrolyte cell on:
- CuSn6 bronze in various electrolytes (3.5% sodium chloride solution, tap water and paste electrolyte) (Figure 4a)
- CuSn6 and CuSn12 bronze without (Figure 6a) and with two coating layers (Figure 6b).
- Sulfide patinated CuSn6 bronze with one (1L), two (2L) and three coating layers (3L) (Figure 7a).
- Artificial sulfide patina on CuSn6 bronze with a single coating that has been mechanically damaged (Figure 8a).
- CuSn6 bronze with sulfide patina and two coating layers in 3.5% sodium chloride solution, tap water and paste electrolyte (Figure 9)
- sulfide patinated CuSn12 bronze with one, two and three layer of coating, before and after exposure in the water humidity chamber for 24 hours (Figure 10)
- Bronze coins in the pristine state (Figure 11a) and with a single layer of coating (Figure 11b).
DOI: 10.17632/nrkrw83bw5.1
title: AMFlow: A Mathematica package for Feynman integrals computation via auxiliary mass flow

description: AMFlow is a Mathematica package to numerically compute dimensionally regularized Feynman integrals via the recently proposed auxiliary mass flow method. In this framework, integrals are treated as functions of an auxiliary mass parameter and their results can be obtained by constructing and solving linear differential systems with respect to this parameter, in an automatic way. The usage of this package is described in detail through an explicit example of double-box family involved in two-loop hadroproduction.
DOI: 10.17632/mmmxjvb7r7.1
title: Research

description: My research
DOI: 10.17632/8znyrnnx5m.1
title: Application of Landsat-8 OLI/TIRS and SRTM DEM datasets in spatial modelling of land surface temperature

description: Landsat-8 OLI/TIRS satellite image of 14th March 2020, Path 185/Row 054 at UTM Zone 33, captured at 09:25 am local time by two sensors. OLI bands include: Bands1 (Coastal aerosol), 3 (Green), 4 (Red), 5 (Near Infrared), 6 (Shortwave Infrared 1), 7 (Shortwave Infrared 2). TIRS band was – Band 10 (TIRS) 1, and Band 11 (TIRS) 2. These are radiometrically- and geometrically corrected data products, including the application of ground control points and digital terrain model corrections. The OLI bands are sampled at 30m spatial resolution while the thermal band captures the land surface as 100m but provided as 30m resampled product by USGS so as to conform to the OLI bands. The SRTM DEM dataset was processed from raw C-band radar signals spaced at 1 arc-second intervals (30m).
DOI: 10.17632/3z2vnckwg3.1
title: STAPHYLOCOCCUS AUREUS ADLB GENE IS ASSOCIATED WITH HIGH INTRAMAMMARY INFECTION PREVALENCE IN DAIRY HERDS OF NORTHERN ITALY: A CROSS-SECTIONAL STUDY

description: Staphylococcus aureus is a major mastitis pathogen in dairy cattle worldwide, responsible for relevant economic losses. Environmental factors, milking routine and good maintenance of milking equipment were described as important factors to prevent intra-mammary infections (IMI). Staph. aureus IMI could be widespread within the farm or the infection could be limited to few animals. Several studies reported that Staph. aureus genotypes differ in their ability to spread within a herd. In particular, Staph. aureus belonging to Ribosomal Spacer PCR (RS-PCR) genotype B (GTB) / Clonal Complex 8 (CC8) was associated with high within-herd prevalence of IMI, while other genotypes were generally associated with individual cow disease. The adlb gene seems to be strictly related to Staph. aureus GTB/CC8, being a potential marker of contagiousness.
We investigated Staph. aureus IMI prevalence in 60 herds in Northern Italy. In the same farms, we assessed specific indicators linked to milking management (e. g. teat condition score and udder hygiene score) and additional milking risk factors for IMI spread. RS-PCR and adlb-targeted PCR were performed on 262 Staph. aureus isolates, of which 77 underwent MLST. A predominant genotype was identified in most of the herds (90%), especially Staph. aureus CC8 (30%). In 19 out of 60 herds the predominant circulating Staph. aureus was adlb-positive and the observed IMI prevalence was relevant. Moreover, this gene was detected only in CC8 and CC97 genotypes.
The statistical analysis showed a strong association between the prevalence of Staph. aureus IMI and both the specific CCs and the carriage of adlb gene, with the predominant circulating CC and the presence of the gene alone explaining the total variation. Interestingly, the difference in the odds ratio obtained in the models for CC8 and CC97 suggests that the circulation of these CCs does not lead to higher Staph. aureus within-herd prevalence per se, but by means of the adlb-gene they carry. In addition, the model showed that environmental and milking management factors had no or only a minimal impact on Staph. aureus IMI prevalence. In conclusion, we can state that the circulation of adlb-positive Staph. aureus strains within a herd has a strong impact on the prevalence of IMI. Thus, adlb can be proposed as a genetic marker of contagiousness for Staph. aureus IMI in cattle. However, further analyses using whole genome sequencing are required to understand the role of genes, other than adlb, possibly involved in the mechanisms of contagiousness of Staph. aureus strains associated with high prevalence of IMI.
DOI: 10.17632/bwfrs82jby.1
title: Loss of GM-CSF-dependent instruction of alveolar macrophages in COVID-19 provides a rationale for inhaled GM-CSF treatment. Bosteels et al.

description: Table S5. List of antibodies, related to STAR Methods – Key resources table
DOI: 10.17632/yrdmc8fw4j.1
title: Uncropped Blots Related to Pathmanathan et al, B cell linker protein (BLNK) is a novel regulator of Met receptor signaling and trafficking in non-small cell lung cancer 

description: Uncropped Blots related to Pathmanathan et al, B cell linker protein (BLNK) is a novel regulator of Met receptor signaling and trafficking in non-small cell lung cancer.
DOI: 10.17632/tp4ppxyjtv.1
title: data_hyperCharacPara_ADB

description: The data of hyperspectral characteristic parameters and aboveground dry biomass based on the experiment of different nitrogen rates application in 2020—2021.
DOI: 10.17632/9b3kdwwkvv.1
title: Integrated Laycan and Berth Allocation Problem with conveyor routing constraints and preventive maintenance activities in bulk ports: Data sets and results

description: This data includes:
- tide and time tables;
- Example of a Gantt chart of vessel and batch schedule.
- test instances and results.
DOI: 10.17632/9b3kdwwkvv.2
title: Integrated Laycan and Berth Allocation Problem with ship stability and conveyor routing constraints in bulk ports: Data sets and results

description: This data includes:
- tide and time tables;
- test instances and results.
DOI: 10.17632/y724wyjn6n.1
title: Deformational history of the Kanguer Subduction Complex 

description: Supplementary A
Analytical methods.

Supplementary Tables
Table 1. Zircon LA-ICP-MS U-Pb ages of granitic dike and sedimentary rocks from the Huangshan area in the Eastern Tianshan orogen, NW China.
Table 2. Apatite LA-ICP-MS U-Pb ages of granitic dike from the Huangshan area in the Eastern Tianshan orogen, NW China.
Table 3 Summary for published geochronological results for the Qiugemingtash Shear Zone
Table 4 Summary of the structural occurrences in the Huangshan area in the Eastern Tianshan orogen, NW China.
DOI: 10.17632/v2h3gxn632.1
title: Deformational history of the Kanguer Subduction Complex in the Eastern Tianshan (NW China): Implications for Paleozoic-Triassic multiple accretionary tectonics of the southern Altaids

description: Supplementary data
Supplementary A. Analytical method
Supplementary Table 1. Zircon LA-ICP-MS U-Pb ages of granitic dikes and sedimentary rocks from the Huangshan area in the Eastern Tianshan orogen, NW China.
Supplementary Table 2. Apatite LA-ICP-MS U-Pb ages of granitic dikes from the Huangshan area in the Eastern Tianshan orogen, NW China.
Supplementary Table 3 Summary of published geochronological results for the Qiugemingtash Shear Zone
Supplementary Table 4 Summary of the structural occurrences in the Huangshan area in the Eastern Tianshan orogen, NW China.
DOI: 10.17632/kgk3jbx9xb.1
title: UK dataset of valence, imageability and frequency ratings of 300 adjectives for use in cognitive-emotional tasks

description: The present dataset provides subjective ratings of valence, imageability and frequency for 150 positive and 150 negative adjectives describing personality characteristics. The words in this dataset can be used for the development or validation of existing or novel experimental tasks used in a wide range of cognition research.

An initial sample of 100 participants provided valence ratings for a list of 482 adjectives depicting personality characteristics. These ratings were averaged across the sample to facilitate the exclusion of ambiguous words rated neither negative nor positive and produce a final list of 300 words (150 negative and 150 positive). We sought to further characterise these 300 words with three separate online surveys collecting ratings of valence, imageability and frequency. A further 102 participants provided valence ratings, 200 participants provided imageability ratings and 202 participants provided frequency ratings. Basic demographics and data on depressive symptoms and state anxiety were collected from all participants; see Tables 1a and 1b.  The raw ratings collected in each of the four surveys are provided in the "Raw Datasets" folder, and the exact surveys used are provided in Supplementary file 1.

We computed a series of statistics (mean, standard deviation, standard error, number of ratings received, median, minimum rating, maximum rating, range, skew, kurtosis) for each type of rating for each of the 300 personality descriptors. The statistics for valence, imageability, frequency and word length were merged into a final dataset (see Positive and negative personality descriptor words dataset). We pooled scores from all participants for the reported statistical analyses, based on exploratory analyses showing age, gender and depression/anxiety symptoms had little effect on participant ratings (see Figures 2-6). However, if greater stratification is desired, specific population statistics can be re-calculated from the raw datasets. The R script we used for data cleaning and analysis is provided in Supplementary file 2. 

Only fully anonymised data is provided – all pseudonymous variables have been removed by the research team prior to sharing.
DOI: 10.17632/kgk3jbx9xb.2
title: UK dataset of self-referential valence, imageability and subjective frequency ratings of 300 adjectives for use in cognitive-emotional tasks

description: The present dataset provides subjective ratings of valence, imageability and frequency for 150 positive and 150 negative adjectives describing personality characteristics. The words in this dataset can be used for the development or validation of existing or novel experimental tasks used in a wide range of cognition research.

In Phase 1 of data collection, an initial sample of 100 participants provided self-referential valence ratings for a list of 482 adjectives depicting personality characteristics. These ratings were averaged across the sample to facilitate the exclusion of ambiguous words rated neither negative nor positive and produce a final list of 300 words (150 negative and 150 positive). In Phase 2 of data collection, we sought to further characterise these 300 words with three separate online surveys collecting ratings of self-referential valence, imageability and subjective frequency. A further 102 participants provided self-referential valence ratings, 200 participants provided imageability ratings and 202 participants provided subjective frequency ratings. Basic demographics and data on depressive symptoms and state anxiety were collected from all participants; see Tables 1a and 1b.  The raw ratings collected in each of the four surveys are provided in the "Raw Datasets" folder, and the exact surveys used are provided in Supplementary file 1.

We computed a series of statistics (mean, standard deviation, standard error, number of ratings received, median, minimum rating, maximum rating, range, skew, kurtosis) for each type of rating for each of the 300 personality descriptors. The statistics for self-referential valence, imageability, subjective frequency and word length were merged into a final dataset (see Positive and negative personality descriptor words dataset). We pooled scores from all participants for the reported statistical analyses, based on exploratory analyses showing age, gender and depression/anxiety symptoms had little effect on participant ratings (see Figures 2-8). However, if greater stratification is desired, specific population statistics can be re-calculated from the raw datasets. The R script we used for data cleaning and analysis is provided in Supplementary file 2. 

We also explored the relationship between the initial self-referential valence ratings collected in Phase 1 (first Qualtrics survey) and those collected during Phase 2 (second Qualtrics survey) for our final list of 300 words. We found the mean ratings for each word to be highly correlated between the two surveys (Spearman’s rho = 0.97, p < .01; see Figure 9). Additionally, we conducted a mixed effects analysis of variance to statistically assess the effects of data collection phase on the self-referential valence ratings acquired for each personality descriptor (see Self-referential valence reliability dataset). 

Only fully anonymised data is provided – all pseudonymous variables have been removed by the research team prior to sharing.
DOI: 10.17632/bxy2nx9csb.1
title: Deformational history of the Kanguer Subduction Complex in the Eastern Tianshan (NW China): Implications for Paleozoic-Triassic multiple accretionary tectonics of the southern Altaids

description: Supplementary data
Supplementary A. Analytical method
Supplementary Table 1. Zircon LA-ICP-MS U-Pb ages of granitic dikes and sedimentary rocks from the Huangshan area in the Eastern Tianshan orogen, NW China.
Supplementary Table 2. Apatite LA-ICP-MS U-Pb ages of granitic dikes from the Huangshan area in the Eastern Tianshan orogen, NW China.
Supplementary Table 3 Summary of published geochronological results for the Qiugemingtash Shear Zone
Supplementary Table 4 Summary of the structural occurrences in the Huangshan area in the Eastern Tianshan orogen, NW China.
DOI: 10.17632/xcfcnngwyk.1
title: Suicide Risk in Medical School Applicants, Risk Factors and Protective Factors

description: Suicide is a serious public health problem that can be prevented. The university population is a vulnerable group that can develop emotional disorders, and medical students have higher anxiety, depression, and suicidal ideation levels. It is a cross-sectional, observational, and descriptive study where suicide risk, depression, anxiety, assertiveness, self-efficacy, emotional dysregulation, problem-solving, coping, and self-esteem in students of the premedical course are evaluated. In medical students, mental health is a relevant issue due to the high workload, long hours of study, and little free time. These stressful situations can trigger affective disorders and suicidal ideation. It is necessary to provide psychological support programs and interventions that contribute to increasing the psychological well-being and quality of life of students.
DOI: 10.17632/zt72m6xkwf.2
title: Hidradenitis Suppurativa is Associated with Abnormalities in Semen Parameters and Sexual function: A Case-Control Pilot Study

description: Mendeley Supplemental Table I. Demographic characteristics and sperm parameters in HS subgroups and control group

Mendeley Supplemental Table II. Hormonal and testicular parameters of HS patients

Mendeley Supplemental Table III. International Index of Erectile Function-15 questionnaire scores
DOI: 10.17632/k6dcbkjdcx.1
title: Bayesian Lesion-Deficit Inference (BLDI) Toolkit v1.0 for R

description: Software accompanying Sperber, Gallucci, Smaczny & Umarova:
"Bayesian lesion-deficit inference with Bayes factor mapping: key advantages and where lesion data still cause problems"

See the Manual and README files for information.
DOI: 10.17632/6gthk778xm.1
title: Data on oxidative stability and elemental analysis of Brazilian sunflower oils used as healing agents

description: This dataset article provides information on analysis of fatty acid methyl esters (FAMEs), oxidative stability, as well as Ultraviolet-Visible and Visible absorption spectra of five samples of Brazilian oils used in the treatment of wounds. Five brands of Brazilian companies that sell sunflower oils used as healing agents were selected.

In detail, the dataset presents:
1-	The fatty acid methyl esters (FAMEs) ere analyzed by gas chromatography (Thermo Fisher Scientific, FOCUS GC) to obtain their individual peaks.
2-	The oxidative stability of the oils was evaluated by Rancimat 893 method (Metrohm Co, Basel). The Rancimat analysis to determine the oxidation stability of oils (fatty acid methyl ester, FAME) was carried out in accordance with EN 14112, EN 15751 and EN 16568 standards.
3-	Thermogravimetry (TG), Derivative Thermogravimetry (DTG) and Differential Scanning Calorimetry (DSC) data were performed using TGA Q-50 equipment (TA Instruments, New Castle, DE, USA) and DSC-Q20 equipament, coupled to an RCS90 refrigeration system (TA Instruments, New Castle, DE, USA). Graphs were obtained using Universal Analysis Software.
4-	Ultraviolet-Visible and Visible absorption spectra were obtained using a Multiskan SkyHigh Microplate Spectrophotometer (Thermo Scientific).
DOI: 10.17632/zzx5kw6cy9.1
title: Micro-segmentation in C2C e-Marketplaces

description: The data contains information about six variables. Micro-segmentation, customer satisfaction (CS), brand loyalty (BL), trust (TR) and brand equity (BE). The data was used to evaluate how the micro-segmentation strategies developed by C2C e-marketplaces positively influences on customer satisfaction, brand loyalty, trust and brand equity.
DOI: 10.17632/35rzmb93kk.1
title: Montaño et al. LBP data

description: This dataset includes two categorical variables (Diag and Sex), Age, and four self-reported measures: Pain intensity, Depression, Anxiety, and Anger. The study aimed to explore negative emotions differential patterns in acute and chronic low back pain (LBP) patients. The three diagnosing groups were (1) acute LBP, (2) chronic LBP, and a healthy pain-free control group (0). The study used Artificial Neural Networks (ANN) for exploring potential differential patterns. Anxiety plays the most important role during acute LBP, and depression becomes the main problem after pain chronification.

A technical document including algorithms for Multilayer Perceptron (MLP) and Radial Basis Function (RBF) for interested readers is also available.
DOI: 10.17632/wjhw4xxgbr.1
title: Water Conflict Chronology Data

description: Data on water-related conflicts and violence, including water as a trigger, weapon, and casualty of conflict. Data collected and organized by the Pacific Institute, Oakland, California. It includes information on location, data, type of conflict, UN region, and sources
DOI: 10.17632/h8r99ssdsf.1
title: Data for: Microscale Quantification of the Inhibition of Neuraminidase Using Capillary Nanogel Electrophoresis

description: These data are related to the following publication:
L. D. Casto-Boggess, L.A. Holland, P. A. Lawer-Yolar, J. A.  Lucas, J. R. Guerrette, Microscale Quantification of the Inhibition of Neuraminidase Cleavage using Capillary Nanogel Electrophoresis. Analytical Chemistry, 2022.
DOI: 10.15472/rru6lw
title: Mariposas (Lepidoptera) de la Reserva Natural Sanguaré recolectadas en el marco del curso de Zoología de la Universidad CES

description: Algunos de los grupos de insectos del Caribe, depositados en las CBUCES, se han recolectado en el contexto de trabajos de investigación y actividades académicas como el curso de Zoología General de los pregrados de Biología y Ecología de la Facultad de Ciencias y Biotecnología de la Universidad CES. Este curso constituye una base fundamental sobre la cual se cimienta el estudio de algunos aspectos de los animales, y busca despertar, en los estudiantes, el interés en estudiar la morfología, fisiología, historia natural, diversidad, ecología e historia evolutiva. Además, el curso busca presentar las metodologías y técnicas de trabajo en campo y laboratorio. Así, el presente conjunto de datos se preparó a partir de las Mariposas recolectadas en el marco de ejercicios docentes y que reposan en las CBUCES, se puede acceder a estos datos en el siguiente doi (https://doi.org/10.15472/h45qke).
description: En el marco de la convocatoria National biodiversity data mobilization grants del GBIF, a la Universidad del Magdalena le fue adjudicada cofinanciación por el GBIF para ejecutar el proyecto: Data mobilization for key entomological groups across the Caribbean Region of Colombia. En este contexto las Colecciones Biológicas de la Universidad CES (CBUCES), se aunaron al esfuerzo para movilizar datos de insectos del Caribe.
DOI: 10.6084/m9.figshare.21505067
title: Stochastic Convergence Rates and Applications of Adaptive Quadrature in Bayesian Inference

description: We provide the first stochastic convergence rates for a family of adaptive quadrature rules used to normalize the posterior distribution in Bayesian models. Our results apply to the uniform relative error in the approximate posterior density, the coverage probabilities of approximate credible sets, and approximate moments and quantiles, therefore guaranteeing fast asymptotic convergence of approximate summary statistics used in practice. The family of quadrature rules includes adaptive Gauss-Hermite quadrature, and we apply this rule in two challenging low-dimensional examples. Further, we demonstrate how adaptive quadrature can be used as a crucial component of a modern approximate Bayesian inference procedure for high-dimensional additive models. The method is implemented and made publicly available in the aghq package for the R language, available on CRAN.
DOI: 10.6084/m9.figshare.21505067.v1
title: Stochastic Convergence Rates and Applications of Adaptive Quadrature in Bayesian Inference

description: We provide the first stochastic convergence rates for a family of adaptive quadrature rules used to normalize the posterior distribution in Bayesian models. Our results apply to the uniform relative error in the approximate posterior density, the coverage probabilities of approximate credible sets, and approximate moments and quantiles, therefore guaranteeing fast asymptotic convergence of approximate summary statistics used in practice. The family of quadrature rules includes adaptive Gauss-Hermite quadrature, and we apply this rule in two challenging low-dimensional examples. Further, we demonstrate how adaptive quadrature can be used as a crucial component of a modern approximate Bayesian inference procedure for high-dimensional additive models. The method is implemented and made publicly available in the aghq package for the R language, available on CRAN.