cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5128261.v1
title: Supplementary Material for: Receptor-Interacting Protein 140 Orchestrates the Dynamics of Macrophage M1/M2 Polarization

description: Macrophage classical (M1) versus alternative (M2) polarization is critical for the homeostatic control of innate immunity. Uncontrolled macrophage polarization is frequently implicated in diseases. This study reports a new functional role for receptor-interacting protein 140 (RIP140) in regulating this phenotypic switch. RIP140 is required for M1 activation, and its degradation is critical to LPS-induced endotoxin tolerance (ET). Here, we found that failure to establish RIP140 degradation-mediated ET prevents M2 polarization, and reducing RIP140 level facilitates an M1/M2 switch, resulting in more efficient wound healing in animal models generated with either transgenic or bone marrow transplant procedures. The M2-suppressive effect is elicited by a new function of RIP140 that, in macrophages exposed to M2 cues, is exported to cytosol, forming complexes with CAPNS1 (calpain regulatory subunit) to activate calpain 1/2, that activates PTP1B phosphatase. The activated PTP1B then reduces STAT6 phosphorylation, thereby suppressing the efficiency of M2 polarization. It is concluded that RIP140 plays dual roles in regulating the M1-M2 phenotype switch: the first, in the nucleus, is an M1 enhancer and the second, in the cytosol, is an M2 suppressor. Modulating the level and/or subcellular distribution of RIP140 can be a new therapeutic strategy for diseases where inflammatory/anti-inflammatory responses are critical.
DOI: 10.17632/ph7rzxjw8w
title: Dataset for an undergraduate biochemistry laboratory course (X!Tandem search on Google Colab)

description: This is a dataset for a laboratory/lecuture course on tandem mass spectrometry, specifically focusing on running X!Tandem on Google Colab. This dataset includes a sample MS/MS data with a single MS/MS spectrum and input files required for running X!Tandem, including input.xml, default_input.xml, taxonomy.xml, and ecoli-sfGFP.fasta.
DOI: 10.17632/x6wmk98nds
title: Understanding Customers' Intentions to Switch from Pay-TV to OTT by Cord-Shaving: A Study Employing Push, Pull, and Mooring Methods

description: This dataset is collected from 242 filtered survey responders consist of 7 variables: Push = 2, Pull 2, Mooring = 2, and Independent = 1. To support this research: "Understanding Customers' Intentions to Switch from Pay-TV to OTT by Cord-Shaving: A Study Employing Push, Pull, and Mooring Methods"
DOI: 10.17632/yc8mbfy3rt
title: Chapter 14: Techniques for Detecting Fraud: Fraud Detection using Peer-Group Analysis

description: account_summary.csv, consists of transactional data across various accounts. The goal is to conduct a peer-group analysis to detect anomalies that may signify fraudulent transactions. You will focus on calculating statistical measures, such as the average transaction amount and standard deviation, and then use these to compute a 'distance' metric for each transaction. Transactions with a 'distance' exceeding a predetermined threshold will be flagged as potential fraud.
DOI: 10.6084/m9.figshare.27850872.v1
title: NMR DATA

description: <sup>1</sup>HNMR raw data (in a zipped file - BRUKER FOLDER, which includes free induction decay [.fid] signal files, acquisition parameters [.acqus] files, processing files [.procs], and additional spectrum files) for all intermediates and the final compound.
DOI: 10.6084/m9.figshare.7072643.v1
title: Supplementary Material for: A Time-Series Analysis of Severe Burned Injury of Skin Gene Expression Profiles

description: <b><i>Background/Aims:</i></b> Major burn injury is one of the main severe forms of wound which lead to a mass of clinical debilitation, this study was to identify core biomarkers for the recovery of severe burned injury. <b><i>Methods:</i></b> Gene expression profiles (GSE19743) from the Gene Expression Omnibus (GEO) was downloaded, followed by background correction, normalization of raw microarray dataset and identification of differential expression genes (DEGs) . Soft clustering of DEGs was used for the screening of gene clusters that with sustained increasing (SIG) and decreasing expression (SDG) profiles along with the recovery process of burned injury. The significantly enriched Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of SIGs and SDGs were obtained through the Database for Annotation, Visualization, and Integrated Discovery (DAVID), based on which the miRNA-gene regulation network for SIGs and SDGs were constructed from the miRWalk database. <b><i>Results:</i></b> Ten clusters were obtained through soft clustering. The SIGs and SDGs were found to be closely associated with the biological processes of immune system. The miRNA-gene regulation network analysis suggested different roles between SIGs and SDGs in the recovery of severe burned injury. Furthermore, a bunch of important biomarkers were identified, which would be helpful in the treatment of burned patients. <b><i>Conclusion</i></b><b><i>:</i></b> Our current findings suggest an interesting molecular link between transcriptional regulation potentially involved in immunosuppressive state after major burn injury, which warrants further exploration for their utilization in the treatment of major burn injury.
DOI: 10.17632/3dc7n482rt
title: Raw dataset with accelerometer, gyroscope, magnetometer, location and environment data for activities without motion

description: This raw dataset presents the data related to the sleeping, watching TV, and driving captured with the data acquired from accelerometer, gyroscope, magnetometer, location, and environment available in off-the-shelf mobile devices.
DOI: 10.17632/xddh3cgswh
title: FWCI and RCR comparison dataset

description: This is the dataset belonging to the article "Comparison of two article-level, field-independent citation metrics: Field-Weighted Citation Impact (FWCI) and Relative Citation Ratio (RCR)"
DOI: 10.6084/m9.figshare.15127500.v1
title: Relationships Between Reproductive Hormones and Maternal Pregnancy Physiology In Women Conceiving With or Without In Vitro Fertilization--Supplemental Material

description: Supplementary Material for publication titled Relationships Between Reproductive Hormones and Maternal Pregnancy Physiology In Women Conceiving With or Without In Vitro Fertilization--Supplemental Material @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:Calibri; panose-1:2 15 5 2 2 2 4 3 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-469750017 -1073732485 9 0 511 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0in; margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}a:link, span.MsoHyperlink {mso-style-noshow:yes; mso-style-priority:99; color:blue; text-decoration:underline; text-underline:single;}a:visited, span.MsoHyperlinkFollowed {mso-style-noshow:yes; mso-style-priority:99; color:#954F72; mso-themecolor:followedhyperlink; text-decoration:underline; text-underline:single;}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}div.WordSection1 {page:WordSection1;} <br>
DOI: 10.17632/5kky7sbc2s
title: Data for: CERES-Maize model for simulating genotype-by-environment interaction of maize and its stability in the dry and wet Savannas of Nigeria

description: Data for model calibration and evaluation
DOI: 10.17632/k6rw2fpsmw
title: A cross-cultural comparison of the relation of children’s moral standards of honesty to their lie-telling behaviour

description: Data for "A cross-cultural comparison of the relation of children’s moral standards of honesty to their lie-telling behaviour"
DOI: 10.6084/m9.figshare.28377053.v2
title: <b>Effects of landscape structure on bird functional diversity</b>

description: This dataset and R code support a study about the effects of landscape structure on the functional diversity of bird assemblages in the Upper Magdalena River Valley, Colombia. The research explores how habitat loss and fragmentation impact bird communities by analyzing functional traits across different land-use gradients. Bird abundance data were collected through mist nets, point counts and eBird records, while functional traits were obtained from the AVONET database. The dataset includes morphological and ecological trait data, landscape metrics and functional diversity indices. The provided R scripts enable users to conduct statistical analyses, including functional diversity calculations, generalized linear models (GLMs), and multivariate analyses (PCA, db-RDA, RLQ and fourth-corner analysis).
DOI: 10.6084/m9.figshare.3385180.v1
title: Stimuli Sequence Information

description: A wavelet-based technique to predict treatment outcome for major depressive disorderW Mumtaz, L Xia, MA Mohd Yasin, SS Azhar Ali… - PloS one, 2017Cited by 62 Related articles All 13 versions<br><br> Number coding Color coding Stimuli No. of occurances code = 1 standard 314 code = 3 target 41 code = 2 distractor 45 Total 400 <br>
DOI: 10.1184/r1/13623944.v1
title: Energy consumption data for package delivery with an Uncrewed Ground Vehicle

description: The purpose of this experiment was to empirically measure the energy use of uncrewed ground vehicles (UGVs) carrying a range of payloads on different routes, terrains, temperatures and speeds. We manually operated a modified Husky A200 robot platform (Husky) on four different routes, which differ both in total distance and vertical gradient. We simultaneously collected data from a broad range of sensors on the Husky.<br>The onboard sensors used to collect data on the Husky are:* Position: 3DM-GX5-45 GNSS/INS sensor pack. These sensors use a built-in Kalman filtering system to fuse the GPS and IMU data. The sensor has a maximum output rate of 10Hz.* Current and Voltage: Mauch Electronics PL-200 sensor. This sensor can record currents up to 200 A and voltages up to 33 V. Analogue readings from the sensor were converted into a digital format using an 8 channel 17 bit analogue-to-digital converter (ADC).* Temperature and humidity: Bosch BME280 sensor. The sensor measures relative humidity with ±3% accuracy, and temperature with ± 1.0°C accuracy. The ideal operating range for this sensor is 0°C to 65°C.<br>An on-board computer was used to operate the Husky and post-process the data. The on-board computer was an Intel NUC Kit NUC8i7BEH with a 512 GB solid state drive (SSD) and 8 GB of memory. This computer ran the Melodic distribution of the Robotic Operating System (ROS), on top of Ubuntu 18.04 LTS operating system. Data syncing and recording was enabled through ROS running on a low-power Raspberry Pi Zero W. The Raspberry Pi's microSD card served as the data store. The data streams from each sensor were synchronized to a frequency of approximately 10Hz using the ApproximateTime message filter policy of Robot Operating System (ROS).<br>There are a total of 92 trials across varying routes, payloads and speeds. The concatenated dataset has 386,369 rows of data and 27 columns.
DOI: 10.17632/bz46sgxm8g
title: [100] disorientation axis grain boundary energies and structures

description: This dataset includes a variety of 100 disorientation axis grain boundaries created as part of two different publications. In work published by J.L. Priedeman, C.W. Rosenbrock, O.K. Johnson, and E.R. Homer (Quantifying and connecting atomic and crystallographic grain boundary structure using local environment representation and dimensionality reduction techniques, Acta Materialia. 161 (2018) 431–443. doi:10.1016/j.actamat.2018.09.011), a number of [100] symmetric tilt grain boundaries were created and analyzed. This online dataset contains a CSV file with information about the crystallographic character of these grain boundaries, as well as their energy. A ZIP file contains the atomistic structures for these grain boundaries. In work published by H.C. Erickson and E.R. Homer (Insights into grain boundary energy structure-property relationships by examining computed [1 0 0] disorientation axis grain boundaries in Nickel, Scripta Materialia. (2020) doi:10.1016/j.scriptamat.2020.03.062), [100] disorientation axis grain boundaries are examined to provide insight into grain boundary energy structure-property relationships over 6 coincidence site lattice misorientations at regularly spaced disorientation angles, and over the full range of boundary plane orientations. The data is used to analyze and compare energies with a dataset of Nickel grain boundaries created by D.L. Olmsted, S.M. Foiles, E.A. Holm (Survey of computed grain boundary properties in face-centered cubic metals: I. Grain boundary energy, Acta Materialia. 57 (2009) 3694–3703. doi:10.1016/j.actamat.2009.04.007) and a face-centered cubic grain boundary energy function developed by V.V. Bulatov, B.W. Reed, M. Kumar (Grain boundary energy function for fcc metals, Acta Materialia. 65 (2014) 161–175. doi:10.1016/j.actamat.2013.10.057). This online dataset contains a CSV file with information about the crystallographic character of these grain boundaries, as well as their energy; the Bulatov predicted energy and Olmsted energies are reported in the supplemental material where relevant. A ZIP file contains the atomistic structures for most of these grain boundaries. V2 of this dataset corrects a minor error in column header names in the "Dataset- Erickson-Homer - v2.csv" file.
DOI: 10.6084/m9.figshare.17085479.v2
title: Data of physiological

description: Phosphorus-stress and drought-stress are common abiotic stresses for wheat.This study constructed physiological of wheat seedling roots using two winter wheat with contrasting drought tolerance and phosphorus utilization efficiency. They were treated with drought stress under conventional–phosphorus level (CP: 1.0 mmol/L) and low-phosphorus levels (LP: 0.05 mmol /L), respectively. Then they were used for physiological detection after0、3、5 and 7 days of drought and after-rewatering-3day. The objective of the present study was to increase the information about the effect of drought on the physiological characteristics of wheat root cultured by two phosphorus levels.
DOI: 10.6084/m9.figshare.20722891.v4
title: Untrackable distal ejecta on planetary surfaces

description: These files are <strong>slope</strong> and <strong>MMI</strong> image zips, <strong>SourceData(</strong><em>shape</em> files and <em>modeling</em> resultant files (<em>landing positions</em>) which corresponding to each figure), and one modeling <strong>Code </strong>example (see readme.txt for using instructions).
DOI: 10.17632/5w7bh793hk
title: Construction and validation of nomogram model for risk of perioperative cardiovascular events in patients with colorectal cancer recovering from AMI

description: Data from this study were obtained from the Chinese Colorectal Cancer surgery Database (CCCD). The CCCD was established by the Colorectal Surgery Group of the Surgery Branch of the Chinese Medical Association. It involves the participation of 73 medical centers across 26 provinces, autonomous regions, and municipalities. Since its initiation in March 2018, the database has incorporated information from approximately 100,000 patients. The CCCD adopts a hospital-centered entry model for surgical cases of CRC. It contains relatively comprehensive registration information encompassing a total of 77 variables including preoperative comorbidities and surgical complications. In this study, we used the keyword "history of AMI" to screen CCCD cases from March 2018 to March 2023. In total, 196 patients met the inclusion criteria. Clinical data were retrospectively analyzed and the patients were divided into perioperative cardiovascular events (PCE) and non-PCE groups according to the occurrence of PCE (occurrence of PCE=1, absence of PCE=0). This research study was conducted retrospectively from data obtained for clinical purposes.
DOI: 10.17632/87sjc2dbnp
title: Dataset of Acoustic Index Results Paired with Avian Point-Count Surveys in the Central Platte River Valley

description: Data was used to analyze acoustic indices' ability to monitor avian populations in grasslands compared to in-person avian point-count surveys. Data includes avian point-count survey results within the Central Platte River Valley from the years 2019-2021 along with acoustic index readings paired with surveys. Acoustic recordings were collected using Wildlife Acoustics SM2+ and SM4 recorders. Six commonly studied acoustic indices were calculated for each survey. Weather data were collected using a Kestrel 3500 Weather Meter. Site-specific measurements were collected from Google Earth Pro.
Metadata is included in database. Further information may be found in accompanying manuscript Ostrom, B.L., Harner, M.J, and Caven, A.J. Monitoring Grassland Bird Communities with Acoustic Indices
DOI: 10.17632/hstfswp5nv
title: Late-onset Hidradenitis Suppurativa: a cluster analysis of the National Italian Registry IRHIS

description: We analyzed data of 1,100 consecutive newly diagnosed Hidradenitis Suppurativa (HS) patients from 17 Italian outpatient clinics, participating in the IRHIS registry, with the aim of assessing the existence of clusters in the distribution of HS age-at-onset, and of evaluating differences between clusters in demographics, clinical characteristics and HS phenotypes. A detailed description of the methods is reported in Supplementary Materails. In the analysis, we relied on both k-means and Gaussian mixture model (GMM) clustering algorithms. Both methods indicated that a two-clusters model best fitted our data, with early-onset HS peaking in the late teen years (mean= 17.0) and late-onset HS peaking at around age 40 (mean=38.4), with an optimal separation threshold at 28 years. Both univariate and age and sex-adjusted multivariable logistic regression analysis were performed.
DOI: 10.17632/tdj78btsn5
title: Conjunto de datos del Concurso en Ingeniería de Control 2024 (CIC2024) de CEA

description: Este conjunto de datos contiene los archivos, documentación e información relacionados con el Concurso en Ingeniería de Control 2024 organizado en el Grupo Temático en Ingeniería de Control del Comité Español de Automática (CEA) desde la Universidad de Córdoba, donde el Dr. Juan Garrido fue el responsable del equipo de profesores encargado.
El Concurso en Ingeniería de Control (CIC) de CEA se plantea cada año como un problema de control que pueda servir como una herramienta de trabajo para estudiantes en asignaturas de titulaciones oficiales, ingenierías, grado, máster y doctorado en el área de la identificación y control de procesos, así como una plataforma para mejorar la visibilidad del área de Ingeniería de Control, tanto en el entorno académico como de cara a la sociedad. El concurso requiere de la participación activa de un tutor, que haga las funciones de interlocutor con la organización y se encargue de formar y asesorar a los concursantes, los cuales deben realizar el trabajo de manera autónoma. La edición del Concurso en Ingeniería de Control 2024 trató sobre el control de una turbina eólica de gran potencia siendo una modificación de la edición del año anterior. Al igual que en dicha edición, se desarrolló en dos fases: Fase 1 para clasificar a los mejores equipos de cada categoría (la categoría 2 quedó desierta) y Fase 2 para determinar a los ganadores que resultaron premiados en la categoría 1.
El conjunto de datos incluye:
- Web CIC2024.pdf: contiene la web del concurso.
- CIC2024_Bases.pdf: documento con las bases del concurso.
- CIC2024_Descripción.pdf: documento con la descripción técnica del concurso.
- CIC2024_Fase1.zip: paquete con todos los archivos necesarios para afrontar este concurso, tanto en la categoría 1 (estudiantes de grado) como en la categoría 2 (estudiantes de máster y doctorado) , y cuyo contenido se describe en el archivo CIC2024_Descripción.pdf.
- Formulario de inscripción CIC2024.pdf: recoge el formulario web usado para inscribir a los participantes.
- Inscripción CIC2024.pdf: lista de equipos inscritos en ambas categorías y su información asociada.
- Clasificación CIC2024 - FASE 1.pdf: lista de equipos clasificados tras la Fase 1.
- CIC2024_Bases - Fase2.pdf: documento con las instrucciones para la Fase 2.
- 15MW_CIC2024_F2.wnd: archivo con los primeros 1200 segundos (de un total de 1800 segundos) del perfil de viento que se usa en la evaluación de la Fase 2.
- CIC2024 Resultados Finales.pdf: resultados finales del CIC2024 y proclamación de ganadores tras la Fase 2.
- 15MW_CIC2024_F2b.wnd: archivo con el perfil de viento completo (1800 segundos) usado en la evaluación de la Fase 2.
- Encuesta sobre el CIC 2024 de CEA.pdf: recoge el formulario web usado para encuestar a los participantes tras la finalización del concurso para recoger su opinión y realizar una evaluación docente del concurso.
DOI: 10.6084/m9.figshare.14807655.v2
title: Alterations in bile acid metabolizing gut microbiota and specific bile acid genes as a precision medicine to subclassify NAFLD

description: Multiple mechanisms for the gut microbiome contributing to the pathogenesis of non-alcoholic fatty liver disease (NAFLD) have been implicated. Here, this post-hoc study aim to investigate the contribution and potential application for altered bile acid (BA) metabolizing microbes in NAFLD using whole metagenome sequencing (WMS) data. The discovery cohort consisted of 86 well-characterized biopsy-proven NAFLD patients and 38 healthy controls. Assembly-based analysis was performed to identify BA-metabolizing microbes. Statistical tests, feature selection and microbial co-abundance analysis were integrated to identify microbial alterations and markers in NAFLD. An independent validation cohort was subjected to similar analyses. NAFLD microbiota exhibited decreased diversity and microbial associations. We established a classifier model with 53 differential species exhibiting a robust diagnostic accuracy (AUC=0.97) for dectecting NAFLD. Next, eight important differential pathway markers including secondary BA biosynthesis were identified. Specifically, increased abundance of 7α-HSDH, baiA and baiB were detected in NAFLD. Further, 10 of 50 BA-metabolizing metagenome-assembled genomes (MAGs) from <i>Bacteroides ovatus</i> and <i>Eubacterium biforme</i>, were dominant in NAFLD and interplayed as a synergetic ecological guild. Importantly, two subtypes of NAFLD patients were observed according to secondary BA metabolism potentials. Elevated capability for secondary BA biosynthesis was also observed in the validation cohort. These bacterial BA-metabolizing genes and microbes identified in this study may associate with NAFLD pathogenesis and serve as potential disease markers. Microbial differences in BA-metabolism and strain-specific differences among patients highlight the potential for precision medicine in NAFLD treatment.
DOI: 10.6084/m9.figshare.21755843.v1
title: dunes_migration.csv

description: Migration directions of barchan dunes on Mars
DOI: 10.6084/m9.figshare.27000376.v2
title: Associations between visceral and liver fat and cardiac structure and function: a UK Biobank study

description: Supplementary figure and tables summarise the associations between visceral fat, liver fat and cardiac remodelling in the general population in the UK Biobank.