cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9275978.v1
title: Effects of varying levels of dietary protein and net energy on growth performance, nitrogen balance and faecal characteristics of growing-finishing pigs

description: ABSTRACT This experiment was conducted to evaluate the effects of dietary protein and net energy (NE) levels on growth performance, nutrient digestibility, nitrogen metabolism, and faecal microbiota of growing-finishing pigs. Eighteen crossed barrows were randomly allocated into one of three dietary treatments: high protein + high NE diet, low protein + high NE diet, and low protein + low NE diet. The whole experiment lasted 90 days and was divided into three phases (phase I: 25-50 kg; phase II: 50-75 kg; phase III: 75-105 kg). All pigs were individually housed in a metabolism cage and subjected to four-day total faeces and urine collection period at the end of each phase. There was no significant difference in growth performance, nutrient digestibility, serum total protein, and albumin concentrations of pigs among the dietary treatments. Compared with the high protein + high NE diet, pigs fed low protein + high NE and low protein + low NE diets had lower N intake, urine N, and total N excretion in each phase. At the end of the experiment, pigs fed the low protein + high NE and low protein + low NE diets had lower blood urea nitrogen, serum NH3-N concentrations, faecal pH value, faecal NH3-N concentration, and faecal Escherichia coli count than those fed the high protein + high NE diet. However, there was no significant difference in all of the above indexes between low protein + high NE and low protein + low NE diets. Decreasing the dietary protein content by 3.5 percentage units has no adverse effects on growth performance and nutrient digestibility of pigs while significantly reduces N excretion and faecal Escherichia coli count. Moreover, further decreasing dietary NE level in the low-protein diet by 0.35-0.5 MJ/kg does not affect growth performance, nutrient digestibility, N excretion, blood profiles, and faecal Escherichia coli count of pigs.
DOI: 10.6084/m9.figshare.12421709
title: Additional file 6 of Effects of Mycobacterium vaccae vaccine in a mouse model of tuberculosis: protective action and differentially expressed genes

description: Additional file 6: Table S5. The whole analysis results of upregulated pathways in control and M. vaccae groups.
DOI: 10.6084/m9.figshare.12421709.v1
title: Additional file 6 of Effects of Mycobacterium vaccae vaccine in a mouse model of tuberculosis: protective action and differentially expressed genes

description: Additional file 6: Table S5. The whole analysis results of upregulated pathways in control and M. vaccae groups.
DOI: 10.6084/m9.figshare.12421715
title: Additional file 7 of Effects of Mycobacterium vaccae vaccine in a mouse model of tuberculosis: protective action and differentially expressed genes

description: Additional file 7: Table S6. The whole analysis results of downregulated pathways in control and M. vaccae groups.
DOI: 10.6084/m9.figshare.12421715.v1
title: Additional file 7 of Effects of Mycobacterium vaccae vaccine in a mouse model of tuberculosis: protective action and differentially expressed genes

description: Additional file 7: Table S6. The whole analysis results of downregulated pathways in control and M. vaccae groups.
DOI: 10.6084/m9.figshare.20286027
title: Large Spillover Networks of Nonstationary Systems

description: This article proposes a vector error correction framework for constructing large consistent spillover networks of nonstationary systems grounded in the network theory of Diebold and Y ilmaz. We aim to provide a tailored methodology for the large nonstationary (macro)economic and financial system application settings avoiding technical and often hard to verify assumptions for general statistical high-dimensional approaches where the dimension can also increase with sample size. To achieve this, we propose an elementwise Lasso-type technique for consistent and numerically efficient model selection of VECM, and relate the resulting forecast error variance decomposition to the network topology representation. We also derive the corresponding asymptotic results for model selection and network estimation under standard assumptions. Moreover, we develop a refinement strategy for efficient estimation and show implications and modifications for general dependent innovations. In a comprehensive simulation study, we show convincing finite sample performance of our technique in all cases of moderate and low dimensions. In an application to a system of FX rates, the proposed method leads to novel insights on the connectedness and spillover effects in the FX market among the OECD countries.
DOI: 10.6084/m9.figshare.20286027.v1
title: Large Spillover Networks of Nonstationary Systems

description: This article proposes a vector error correction framework for constructing large consistent spillover networks of nonstationary systems grounded in the network theory of Diebold and Y ilmaz. We aim to provide a tailored methodology for the large nonstationary (macro)economic and financial system application settings avoiding technical and often hard to verify assumptions for general statistical high-dimensional approaches where the dimension can also increase with sample size. To achieve this, we propose an elementwise Lasso-type technique for consistent and numerically efficient model selection of VECM, and relate the resulting forecast error variance decomposition to the network topology representation. We also derive the corresponding asymptotic results for model selection and network estimation under standard assumptions. Moreover, we develop a refinement strategy for efficient estimation and show implications and modifications for general dependent innovations. In a comprehensive simulation study, we show convincing finite sample performance of our technique in all cases of moderate and low dimensions. In an application to a system of FX rates, the proposed method leads to novel insights on the connectedness and spillover effects in the FX market among the OECD countries.
DOI: 10.6084/m9.figshare.8227448
title: Downregulation of lncRNA CCDC26 contributes to imatinib resistance in human gastrointestinal stromal tumors through IGF-1R upregulation

description: Imatinib is the first line of therapy for patients with metastatic or gastrointestinal stromal tumors (GIST). However, drug resistance limits the long-term effect of imatinib. Long non-coding RNAs (lncRNAs) are emerging as key players in regulating drug resistance in cancer. In this study, we investigated the association between lncRNA CCDC26 and IGF-1R in GIST and their involvement in drug resistance. Considering the key role of lncRNAs in drug resistance in cancer, we hypothesized that IGF-1R is regulated by lncRNAs. The expression of a series of reported drug resistance-related lncRNAs, including CCDC26, ARF, H19, NBR2, NEAT1, and HOTAIR, in GIST cells treated with imatinib H19 was examined at various time-points by qRT-PCR. Based on our results and published literature, CCDC26, a strongly down-regulated lncRNA following imatinib treatment, was chosen as our research target. GIST cells with high expression of CCDC26 were sensitive to imatinib treatment while knockdown of CCDC26 significantly increased the resistance to imatinib. Furthermore, we found that CCDC26 interacted with c-KIT by RNA pull down, and that CCDC26 knockdown up-regulated the expression of IGF-1R. Moreover, IGF-1R inhibition reversed CCDC26 knockdown-mediated imatinib resistance in GIST. These results indicated that treatments targeting CCDC26-IGF-1R axis would be useful in increasing sensitivity to imatinib in GIST.
DOI: 10.6084/m9.figshare.8227442
title: Effect of intraoperative lung-protective mechanical ventilation on pulmonary oxygenation function and postoperative pulmonary complications after laparoscopic radical gastrectomy

description: This study aimed to observe the effects of lung-protective ventilation (LPV) on oxygenation index (OI) and postoperative pulmonary complications (PPCs) after laparoscopic radical gastrectomy in middle-aged and elderly patients. A total of 120 patients who were scheduled to undergo laparoscopic radical gastrectomy with an expected time of &gt;3 h were randomly divided into conventional ventilation (CV group) with tidal volume (TV) of 10 mL/kg without positive end-expiratory pressure (PEEP), and lung-protective ventilation (PV group) with 7 mL/kg TV and personal level of PEEP with regular recruitment maneuver every 30 min. Measurements of OI, modified clinical pulmonary infection score (mCPIS), and PPCs were assessed during the perioperative period. Fifty-seven patients in the CV group and 58 in the PV group participated in the data analysis. Patients in the PV group showed better pulmonary dynamic compliance, OI, and peripheral capillary oxygen saturation during and after surgery. The mCPIS was significantly lower in the PV group than in the CV group after surgery. The incidence rate of PPCs was lower in the PV group than in the CV group and the difference was significant in patients whose ventilation time was longer than 6 h in both groups. LPV during laparoscopic radical gastrectomy significantly improved pulmonary oxygenation function and reduced postoperative mCPIS and the incidence of PPCs during the early period after surgery of middle-aged and elderly patients, especially patients whose mechanical ventilation time was longer than 6 h.
DOI: 10.6084/m9.figshare.8227442.v1
title: Effect of intraoperative lung-protective mechanical ventilation on pulmonary oxygenation function and postoperative pulmonary complications after laparoscopic radical gastrectomy

description: This study aimed to observe the effects of lung-protective ventilation (LPV) on oxygenation index (OI) and postoperative pulmonary complications (PPCs) after laparoscopic radical gastrectomy in middle-aged and elderly patients. A total of 120 patients who were scheduled to undergo laparoscopic radical gastrectomy with an expected time of &gt;3 h were randomly divided into conventional ventilation (CV group) with tidal volume (TV) of 10 mL/kg without positive end-expiratory pressure (PEEP), and lung-protective ventilation (PV group) with 7 mL/kg TV and personal level of PEEP with regular recruitment maneuver every 30 min. Measurements of OI, modified clinical pulmonary infection score (mCPIS), and PPCs were assessed during the perioperative period. Fifty-seven patients in the CV group and 58 in the PV group participated in the data analysis. Patients in the PV group showed better pulmonary dynamic compliance, OI, and peripheral capillary oxygen saturation during and after surgery. The mCPIS was significantly lower in the PV group than in the CV group after surgery. The incidence rate of PPCs was lower in the PV group than in the CV group and the difference was significant in patients whose ventilation time was longer than 6 h in both groups. LPV during laparoscopic radical gastrectomy significantly improved pulmonary oxygenation function and reduced postoperative mCPIS and the incidence of PPCs during the early period after surgery of middle-aged and elderly patients, especially patients whose mechanical ventilation time was longer than 6 h.
DOI: 10.6084/m9.figshare.8227448.v1
title: Downregulation of lncRNA CCDC26 contributes to imatinib resistance in human gastrointestinal stromal tumors through IGF-1R upregulation

description: Imatinib is the first line of therapy for patients with metastatic or gastrointestinal stromal tumors (GIST). However, drug resistance limits the long-term effect of imatinib. Long non-coding RNAs (lncRNAs) are emerging as key players in regulating drug resistance in cancer. In this study, we investigated the association between lncRNA CCDC26 and IGF-1R in GIST and their involvement in drug resistance. Considering the key role of lncRNAs in drug resistance in cancer, we hypothesized that IGF-1R is regulated by lncRNAs. The expression of a series of reported drug resistance-related lncRNAs, including CCDC26, ARF, H19, NBR2, NEAT1, and HOTAIR, in GIST cells treated with imatinib H19 was examined at various time-points by qRT-PCR. Based on our results and published literature, CCDC26, a strongly down-regulated lncRNA following imatinib treatment, was chosen as our research target. GIST cells with high expression of CCDC26 were sensitive to imatinib treatment while knockdown of CCDC26 significantly increased the resistance to imatinib. Furthermore, we found that CCDC26 interacted with c-KIT by RNA pull down, and that CCDC26 knockdown up-regulated the expression of IGF-1R. Moreover, IGF-1R inhibition reversed CCDC26 knockdown-mediated imatinib resistance in GIST. These results indicated that treatments targeting CCDC26-IGF-1R axis would be useful in increasing sensitivity to imatinib in GIST.
DOI: 10.25392/leicester.data.11897595
title: Simulated dataset

description: A simulated dataset that has been
widely used in the evaluation of spike-sorting algorithms. Synthetic datasets are generated by adding spike waveform templates to background noise of various levels; this download contains several datasets, generated using different spike templates.<br>Use wave_clus (see www2.le.ac.uk/centres/csn/software/wave-clus) for spike detection and sorting of this data. Wave_clus is a fast and unsupervised algorithm for spike detection and sorting compatible with Windows, Mac or Linux operating systems.
DOI: 10.25392/leicester.data.11897595.v1
title: Simulated dataset

description: A simulated dataset that has been
widely used in the evaluation of spike-sorting algorithms. Synthetic datasets are generated by adding spike waveform templates to background noise of various levels; this download contains several datasets, generated using different spike templates.<br>Use wave_clus (see www2.le.ac.uk/centres/csn/software/wave-clus) for spike detection and sorting of this data. Wave_clus is a fast and unsupervised algorithm for spike detection and sorting compatible with Windows, Mac or Linux operating systems.
DOI: 10.5281/zenodo.10683140
title: Dataset article: GABA and Glx predict EEG responses of visual sensitivity in autism

description: EEG and MRS data of the neurotypical (NT) and autistic (ASD) participants included in the analyses of the article: GABA and Glx predict EEG responses of visual sensitivity in autism, by Laurie-Anne Sapey-Triomphe, Nicolaas A.J. Puts, Thiago L. Costa, Johan Wagemans (2024). This deposit also includes the Matlab code used to process MRS data. EEG data were processed using Letswave (toolbox, no code).
DOI: 10.5281/zenodo.10683141
title: Dataset article: GABA and Glx predict EEG responses of visual sensitivity in autism

description: EEG and MRS data of the neurotypical (NT) and autistic (ASD) participants included in the analyses of the article: GABA and Glx predict EEG responses of visual sensitivity in autism, by Laurie-Anne Sapey-Triomphe, Nicolaas A.J. Puts, Thiago L. Costa, Johan Wagemans (2024). This deposit also includes the Matlab code used to process MRS data. EEG data were processed using Letswave (toolbox, no code).
DOI: 10.6084/m9.figshare.20286249
title: Assessment of NGS-miniSTR as a new detection strategy for chromosomal trisomy in prenatal diagnosis

description: Table S1. Raw miniSTR data on chromosome 16 for 70 trisomy and 70 normal karyotypes from the fetal materials in miscarriages.    
Table S2. Raw miniSTR data on chromosome 16, miniSTR profiling and CNV-seq result for 28 unknown karyotype samples from the fetal materials in miscarriages.
DOI: 10.6084/m9.figshare.9276224
title: Control of plant height by 24 alleles at 12 quantitative trait loci in rice

description: Abstract Plant height (PH) is controlled by quantitative trait loci (QTLs) in rice. In the present study, a recombinant inbred line population developed by crossing two rice cultivars, Lemont and Yangdao4, was grown in eight environments for QTL analysis. Multiple interval mapping detected 53 PH-QTLs, 39 of which clustered at 12 chromosome regions/putative loci. An examination of the 12 putative loci identified 24 alleles that are simultaneously involved in controlling PH. Linear regression analyses suggested that these 24 alleles function additively across the 12 loci to control PH, and plants carrying more PH-increasing alleles at the 12 loci were taller than those carrying more PH-decreasing alleles. Multiple comparison tests indicated that the effect of a single allele at the 12 loci was small and that multiple alleles must be pyramided to attain a statistically significant effect. The closest markers to the 12 loci can be used directly in marker-assisted breeding to manipulate PH.
DOI: 10.6084/m9.figshare.9276224.v1
title: Control of plant height by 24 alleles at 12 quantitative trait loci in rice

description: Abstract Plant height (PH) is controlled by quantitative trait loci (QTLs) in rice. In the present study, a recombinant inbred line population developed by crossing two rice cultivars, Lemont and Yangdao4, was grown in eight environments for QTL analysis. Multiple interval mapping detected 53 PH-QTLs, 39 of which clustered at 12 chromosome regions/putative loci. An examination of the 12 putative loci identified 24 alleles that are simultaneously involved in controlling PH. Linear regression analyses suggested that these 24 alleles function additively across the 12 loci to control PH, and plants carrying more PH-increasing alleles at the 12 loci were taller than those carrying more PH-decreasing alleles. Multiple comparison tests indicated that the effect of a single allele at the 12 loci was small and that multiple alleles must be pyramided to attain a statistically significant effect. The closest markers to the 12 loci can be used directly in marker-assisted breeding to manipulate PH.
DOI: 10.6092/unibo/amsacta/7552
title: Una.Resin, WP2, T2.2: Benchmarking questionnaire on Research Infrastructures and Resources

description: The dataset is related to the Horizon 2020 Una.Resin project Work Package 2 mapping exercise (Task 2.2) on Research Infrastructures and Resources (RIRs). This task was carried out from February to August 2021 and was aimed at understanding and benchmarking the existing strategies, policies and initiatives on RIRs of the eight Una Europa universities participating in the project (University of Edinburgh; University of Helsinki; University of Bologna; Complutense University of Madrid; Freie Universität Berlin; Katholieke Universiteit Leuven; Jagiellonian University; Université Paris 1 Panthéon-Sorbonne) in order to identify the complementary strengths, opportunities and barriers for opening-up or sharing research infrastructures and resources across the Alliance. 
The questionnaire had three specific objectives: (i) to understand the national and regional policies that impact the institutional frameworks on RIRs; (ii) to map and understand the policies, funding mechanisms and organisational models/management of RIRs at the different institutions; (iii) to form an initial idea about the complementary strengths but also the possible barriers for opening or sharing RIRs. The questionnaire was targeted at the research service professionals and policy-makers at each of the eight Una Europa universities.
DOI: 10.5281/zenodo.8346882
title: News Ninja Dataset

description: This repository contains the data for the News Ninja Game submission.<br> <br> <strong>About</strong><br> Recent research shows that visualizing linguistic media bias mitigates its negative effects. However, reliable automatic detection methods to generate such visualizations require costly, knowledge-intensive training data. To facilitate data collection for media bias datasets, we present News Ninja, a game employing data-collecting game mechanics to generate a crowdsourced dataset. Before annotating sentences, players are educated on media bias via a tutorial. Our findings show that datasets gathered with crowdsourced workers trained on News Ninja can reach significantly higher quality than expert and crowdsourced datasets. As News Ninja encourages continuous play, it allows datasets to adapt to the reception and contextualization of news over time, presenting a promising strategy to reduce data collection expenses, enhance evaluators' diversity, and promote long-term bias mitigation.<br> <br> <strong>Content<br> demographics.csv: </strong>Contains demographic information of News Ninja players.<br> <strong>news_ninja_dataset.csv</strong>: Contains the sentences that News Ninja players labeled with their corresponding bias label, biased words, id, and annotation count.
DOI: 10.6084/m9.figshare.12421730
title: Additional file 1 of Application of diffusion tensor imaging and blood oxygenation level-dependent magnetic resonance imaging to assess bilateral renal function induced by Iohexol in rabbits

description: Additional file 1. Raw data of R2*, ADC and FA values of bilateral renal cortex, outer medulla and inner medulla (n = 6).
DOI: 10.6084/m9.figshare.19762075
title: China EWMFA Flows

description: An interoperable dataset contains all China material flows between 1990 and 2020.
DOI: 10.6084/m9.figshare.19762075.v1
title: China EWMFA Flows

description: An interoperable dataset contains all China material flows between 1990 and 2020.
DOI: 10.6084/m9.figshare.19762078
title: China EWMFA Flows

description: An interoperable file contains all China economy material flows between 1990 and 2020.
DOI: 10.6084/m9.figshare.19762078.v1
title: China EWMFA Flows

description: An interoperable file contains all China economy material flows between 1990 and 2020.
DOI: 10.6084/m9.figshare.19762081
title: Domestic Extraction

description: Domestic extraction of materials in China between 1990 and 2020 by material types and years.
DOI: 10.6084/m9.figshare.19762084
title: Domestic Processed Output

description: Domestic processed output of materials in China between 1990 and 2020 by materials, destinations, paths and years.
DOI: 10.6084/m9.figshare.19762084.v1
title: Domestic Processed Output

description: Domestic processed output of materials in China between 1990 and 2020 by materials, destinations, paths and years.
DOI: 10.6084/m9.figshare.19762087
title: China EWMFA Account

description: The EWMFA indicators of China's economy between 1990 and 2020 by material types, years and indicators.
DOI: 10.6084/m9.figshare.19762087.v1
title: China EWMFA Account

description: The EWMFA indicators of China's economy between 1990 and 2020 by material types, years and indicators.
DOI: 10.6084/m9.figshare.19762090
title: Imports and Exports

description: The imports and exports of materials by China's economy between 1990 and 2020 by material types and years.
DOI: 10.6084/m9.figshare.19762090.v1
title: Imports and Exports

description: The imports and exports of materials by China's economy between 1990 and 2020 by material types and years.
DOI: 10.6084/m9.figshare.19762093
title: Balancing Items

description: The items for balancing the input-output of China's economy between 1990 and 2020 by material types and years.
DOI: 10.6084/m9.figshare.19762093.v1
title: Balancing Items

description: The items for balancing the input-output of China's economy between 1990 and 2020 by material types and years.