cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26126/intervals.ga3u3g
title: High-content screening assays [Individual measurements] 

description: This dataset was generated in an in vitro systems toxicology study where the impact of exposure to aqueous extract (AE) of tobacco heating system (THS) 2.2 aerosol was investigated on processes implicated in vascular pathomechanisms and compared to that of 3R4F cigarette smoke (CS) AE. The mechanistic effects of the potential toxicity induced by 3R4F CS and THS 2.2 AEs were measured during high-content screening assays (HCS). This dataset includes single measurements for each sample.
DOI: 10.26126/intervals.3oyerx
title: Transcriptome analysis of HAoSMCs [Contrasts between groups] 

description: This dataset was generated in an in vitro systems toxicology study where the impact of exposure to aqueous extract (AE) of tobacco heating system (THS) 2.2 aerosol was investigated on processes implicated in vascular pathomechanisms and compared to that of 3R4F cigarette smoke (CS) AE.
The transcriptome (mRNAs) of cell cultures was characterized using Affymetrix GeneChip® Human Genome U133 2.0 Arrays.
This dataset contains the statistics resulting from the comparison of treatment and control groups.
DOI: 10.26126/intervals.fnds8x
title: Transcriptome analysis of HAoSMCs [Group level statistics] 

description: This dataset was generated in an in vitro systems toxicology study where the impact of exposure to aqueous extract (AE) of tobacco heating system (THS) 2.2 aerosol was investigated on processes implicated in vascular pathomechanisms and compared to that of 3R4F cigarette smoke (CS) AE.
The transcriptome (mRNAs) of cell cultures was characterized using Affymetrix GeneChip® Human Genome U133 2.0 Arrays.
This dataset includes descriptive statistics at the group level.
DOI: 10.26126/intervals.t35zfp
title: Transcriptome analysis of HAoSMCs [Individual measurements] 

description: This dataset was generated in an in vitro systems toxicology study where the impact of exposure to aqueous extract (AE) of tobacco heating system (THS) 2.2 aerosol was investigated on processes implicated in vascular pathomechanisms and compared to that of 3R4F cigarette smoke (CS) AE. The transcriptome (mRNAs) of cell cultures was characterized using Affymetrix GeneChip® Human Genome U133 2.0 Arrays. This dataset includes single measurements for each sample.
DOI: 10.5281/zenodo.5206119
title: T cells migration followed with TrackMate

description: T cells migrating on ICAM-1 were automatically tracked using StarDist directly implemented within TrackMate. Raw image courtesy of Nathan H. Roy, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia Research Institute, Philadelphia, PA 19104, USA.
DOI: 10.5281/zenodo.5206118
title: T cells migration followed with TrackMate

description: T cells migrating on ICAM-1 were automatically tracked using StarDist directly implemented within TrackMate. Raw image courtesy of Nathan H. Roy, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia Research Institute, Philadelphia, PA 19104, USA.
DOI: 10.3886/e147801
title: Data for "Political extremism and a generalised propensity to discriminate among values"

description: Here you can find the dataset for Study 1 and Study 2 relative to the paper
DOI: 10.3886/e147801v1
title: Data for "Political extremism and a generalised propensity to discriminate among values"

description: Here you can find the dataset for Study 1 and Study 2 relative to the paper
DOI: 10.5281/zenodo.5211083
title: The analysis of composition and abundance of the raft proteome of microglia using a tandem mass tag (TMT)-based quantitative proteomic analysis.

description: To determine the proteins in the membrane raft, we used the TMT-labeling and nano-liquid chromatography mass spectrometry (nano-LC-MS/MS) analysis by Creative Proteomics (NY, USA; https://www.creative-proteomics.com/). Rat primary microglia were treated with IL-6 (25 ng/ml) for 15 min. Membrane rafts were obtained by flotation assay. Samples were prepared from three independent experiments. Proteins in equal volumes of raft fractions were digested with trypsin, desalted, and labeled with a TMT reagent (Thermo Fisher Science). The TMT-labeled peptides were fractionated and analyzed by nano-LC-MS/MS. The resulting MS/MS data were analyzed and searched against the rat protein database using Proteome Discoverer 2.1.
description: This work was supported by the National Research Foundation of Korea Grant funded by the Korean Government (NRF-2012R1A5A2048183, NRF-2016R1A6A3A11931740, and NRF-2020R1A6A1A03043539).
DOI: 10.5281/zenodo.5211082
title: The analysis of composition and abundance of the raft proteome of microglia using a tandem mass tag (TMT)-based quantitative proteomic analysis.

description: To determine the proteins in the membrane raft, we used the TMT-labeling and nano-liquid chromatography mass spectrometry (nano-LC-MS/MS) analysis by Creative Proteomics (NY, USA; https://www.creative-proteomics.com/). Rat primary microglia were treated with IL-6 (25 ng/ml) for 15 min. Membrane rafts were obtained by flotation assay. Samples were prepared from three independent experiments. Proteins in equal volumes of raft fractions were digested with trypsin, desalted, and labeled with a TMT reagent (Thermo Fisher Science). The TMT-labeled peptides were fractionated and analyzed by nano-LC-MS/MS. The resulting MS/MS data were analyzed and searched against the rat protein database using Proteome Discoverer 2.1.
description: This work was supported by the National Research Foundation of Korea Grant funded by the Korean Government (NRF-2012R1A5A2048183, NRF-2016R1A6A3A11931740, and NRF-2020R1A6A1A03043539).
DOI: 10.5281/zenodo.5220674
title: Ran-thok and Ling-chhom: indigenous grinding stones of Shertukpen tribes of Arunachal Pradesh, India

description: Dataset for the paper Ran-thok and Ling-chhom: indigenous grinding stones of Shertukpen tribes of Arunachal Pradesh, India
DOI: 10.5281/zenodo.5220673
title: Ran-thok and Ling-chhom: indigenous grinding stones of Shertukpen tribes of Arunachal Pradesh, India

description: Dataset for the paper Ran-thok and Ling-chhom: indigenous grinding stones of Shertukpen tribes of Arunachal Pradesh, India
DOI: 10.6084/m9.figshare.15271699
title: Time series data from Assessment of long-range cross-correlations in cardio-respiratory and cardiovascular interactions

description: We propose higher-order detrending moving-average cross-correlation analysis (DMCA) to assess the long-range cross-correlations in cardio-respiratory and cardiovascular interactions. Although the original (zeroth-order) DMCA employs a simple moving-average detrending filter to remove non-stationary trends embedded in the observed time series, our approach incorporates a Savitzky–Golay filter as a higher-order detrending method. Because the non-stationary trends can adversely affect the long-range correlation assessment, the higher-order detrending serves to improve accuracy. To achieve a more reliable characterization of the long-range cross-correlations, we demonstrate the importance of the following steps: correcting the time-scale, confirming the consistency of different order DMCAs, and estimating the time lag between time series. We applied this methodological framework to cardio-respiratory and cardiovascular time series analysis. In the cardio-respiratory interaction, respiratory and heart rate variability (HRV) showed long-range auto-correlations; however, no factor was shared between them. In the cardiovascular interaction, beat-to-beat systolic blood pressure and HRV showed long-range auto-correlations and shared a common long-range, cross-correlated factor.This article is part of the theme issue ‘Advanced computation in cardiovascular physiology: new challenges and opportunities’.
DOI: 10.6084/m9.figshare.15271699.v1
title: Time series data from Assessment of long-range cross-correlations in cardio-respiratory and cardiovascular interactions

description: We propose higher-order detrending moving-average cross-correlation analysis (DMCA) to assess the long-range cross-correlations in cardio-respiratory and cardiovascular interactions. Although the original (zeroth-order) DMCA employs a simple moving-average detrending filter to remove non-stationary trends embedded in the observed time series, our approach incorporates a Savitzky–Golay filter as a higher-order detrending method. Because the non-stationary trends can adversely affect the long-range correlation assessment, the higher-order detrending serves to improve accuracy. To achieve a more reliable characterization of the long-range cross-correlations, we demonstrate the importance of the following steps: correcting the time-scale, confirming the consistency of different order DMCAs, and estimating the time lag between time series. We applied this methodological framework to cardio-respiratory and cardiovascular time series analysis. In the cardio-respiratory interaction, respiratory and heart rate variability (HRV) showed long-range auto-correlations; however, no factor was shared between them. In the cardiovascular interaction, beat-to-beat systolic blood pressure and HRV showed long-range auto-correlations and shared a common long-range, cross-correlated factor.This article is part of the theme issue ‘Advanced computation in cardiovascular physiology: new challenges and opportunities’.
DOI: 10.6084/m9.figshare.15190050
title: Data Sets for Social Media and Web Science Assingment

description: Privacy and ethics considerations: research uses public content only. No usernames or private and personal information is provided within final research piece.University West of England, MSc Information Management, Social Media and Web Science Module.
DOI: 10.6084/m9.figshare.15190050.v1
title: Data Sets for Social Media and Web Science Assingment

description: Privacy and ethics considerations: research uses public content only. No usernames or private and personal information is provided within final research piece.University West of England, MSc Information Management, Social Media and Web Science Module.
DOI: 10.5281/zenodo.5012824
title: Simple Geometric Shapes

description: Dataset containing 10000 images of a geometric shape with varying sizes and gray shades and a uniform background. The set contains 5000 images of a circle and 5000 images of a triangle. All images have the same size of 64x64. A label is provided for every image. The images are split into train and test set. The dataset is intended as a toy dataset to explore machine learning with or, in our case specifically, to try out explainable AI (XAI) methods with. The dataset was created as part of the DIANNA project. See https://github.com/dianna-ai/.
DOI: 10.6084/m9.figshare.15028665
title: Metadata record for: Inter-laboratory high resolution mass spectrometry dataset based on passive sampling of drinking water for non-target analysis

description: This dataset contains key characteristics about the data described in the Data Descriptor Inter-laboratory high resolution mass spectrometry dataset based on passive sampling of drinking water for non-target analysis. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.12205517
title: Anaeramoebae are deeply-branching eukaryotes that clarify the transition from anaerobic mitochondria to hydrogenosomes

description: Contents: <br><br><b>[Transcriptome Datasets -- transdecoder output and raw assembly]</b>Anaeroamoeba_flamelloides_transcriptomeData.zipAnaeroamoeba_ignava_transcriptomeData.zip<br><br><b>[Phylogenetic Datasets]</b><br>MetabolicGeneTrees.zip (Single Gene trees and data for HYDA, FDP and Ohr)phylogenomicAnalysis_datasets_results.zip (data and trees from phylogenomic analyses)<br>toplogyTests.zip (treefiles of topologies tested with AU-test)<br><br><br><br>
DOI: 10.6084/m9.figshare.15028665.v1
title: Metadata record for: Inter-laboratory high resolution mass spectrometry dataset based on passive sampling of drinking water for non-target analysis

description: This dataset contains key characteristics about the data described in the Data Descriptor Inter-laboratory high resolution mass spectrometry dataset based on passive sampling of drinking water for non-target analysis. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.14974848
title: Metadata record for: MNI-FTD Templates, unbiased average templates of frontotemporal dementia variants

description: This dataset contains key characteristics about the data described in the Data Descriptor MNI-FTD Templates, unbiased average templates of frontotemporal dementia variants. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.14974848.v1
title: Metadata record for: MNI-FTD Templates, unbiased average templates of frontotemporal dementia variants

description: This dataset contains key characteristics about the data described in the Data Descriptor MNI-FTD Templates, unbiased average templates of frontotemporal dementia variants. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.15060387
title: Metadata record for: Hourly potential evapotranspiration at 0.1˚ resolution for the global land surface from 1981-present

description: This dataset contains key characteristics about the data described in the Data Descriptor Hourly potential evapotranspiration at 0.1˚ resolution for the global land surface from 1981-present. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.15060387.v1
title: Metadata record for: Hourly potential evapotranspiration at 0.1˚ resolution for the global land surface from 1981-present

description: This dataset contains key characteristics about the data described in the Data Descriptor Hourly potential evapotranspiration at 0.1˚ resolution for the global land surface from 1981-present. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.25794/reference/oilhn37c
title: Xcc-CN02-G2

description: EGNPP 1.2 whit proteic bank from = swissprot_bacteria + 510 NCBI Xanthomonodales
DOI: 10.25794/reference/uz39_6pw
title: Xcc-CN05-G2

description: EGNPP 1.2 whit proteic bank from = swissprot_bacteria + 510 NCBI Xanthomonodales
DOI: 10.25794/reference/fiknnujj
title: Xcc-CN06-G2

description: EGNPP 1.2 whit proteic bank from = swissprot_bacteria + 510 NCBI Xanthomonodales
DOI: 10.25794/reference/dq8i7kpx
title: Xcc-CN07-G2

description: EGNPP 1.2 whit proteic bank from = swissprot_bacteria + 510 NCBI Xanthomonodales
DOI: 10.25794/reference/wqyuze_6
title: Xcc-CN08-G3

description: EGNPP 1.2 whit proteic bank from = swissprot_bacteria + 510 NCBI Xanthomonodales
DOI: 10.25794/reference/yrpvi/6l
title: Xcc-CN13-G2

description: EGNPP 1.2 whit proteic bank from = swissprot_bacteria + 510 NCBI Xanthomonodales
DOI: 10.6084/m9.figshare.15273897
title: Supplementary Material for: Changes in CRP and CA19-9 during Preoperative Oncological Therapy Predict Postoperative Survival in Pancreatic Ductal Adenocarcinoma

description: <b><i>Introduction:</i></b> Tumor and systemic inflammatory markers predict survival. This retrospective study aimed to explore the changes in CRP, CA19-9, and other routine laboratory tests during preoperative oncological therapy as prognostic factors in pancreatic ductal adenocarcinoma (PDAC). <b><i>Methods:</i></b> Between 2000 and 2016, 68 borderline resectable PDAC patients received preoperative oncological therapy and underwent subsequent surgery at Helsinki University Hospital, Finland. We investigated changes in CRP, CA19-9, CEA, albumin, leukocytes, bilirubin, and platelets and examined the impact on survival. <b><i>Results:</i></b> In the multivariate analysis, CRP remaining at ≥3 mg/L after preoperative oncological therapy predicted a poorer postoperative outcome when compared to CRP decreasing to or remaining at &lt;3 mg/L (hazard ratio [HR] 2.766, 95% confidence interval [CI]: 1.300–5.885, <i>p</i> = 0.008). Furthermore, a CA19-9 decrease &gt;90% during preoperative treatment predicted a favorable postoperative outcome (HR 0.297, 95% CI: 0.124–0.708, <i>p</i> = 0.006). In the Kaplan-Meier analysis, the median survival for patients with CRP remaining at &lt;3 mg/L was longer than among patients with an increased CRP level at ≥3 mg/L (42 months vs. 24 months, <i>p</i> = 0.001). Patients with a CA19-9 decrease &gt;90% or level normalization (to ≤37 kU/L) during preoperative treatment exhibited a median survival of 47 months; those with a 50–90% decrease, 15 months; and those with a &lt;50% decrease, 17 months (<i>p</i> &lt; 0.001). <b><i>Conclusions:</i></b> Changes in CRP and CA19-9 during preoperative oncological therapy predict postoperative survival.
DOI: 10.6084/m9.figshare.15271722
title: Supplementary Material for: Accuracy of Anti-GBM Antibodies in Diagnosing Anti-Glomerular Basement Membrane Disease: A Systematic Review and Meta-Analysis

description: <b><i>Background:</i></b> The sensitivity and specificity of anti-glomerular basement membrane (GBM) antibodies have not been systematically analyzed. In this systematic review, we aimed to evaluate the diagnostic accuracy of anti-GBM antibodies for anti-GBM disease. <b><i>Summary:</i></b> Potential studies were searched using MEDLINE, Embase, the Cochrane Library, and the International Clinical Trials Registry Platform based on the index test and target condition. The inclusion criteria were prospective or retrospective cohort studies or case-control studies assessing the sensitivity and specificity of anti-GBM antibodies, and the reference standard was clinical diagnosis including biopsy results. The exclusion criteria were review articles, case reports, animal studies, and in vitro studies. Quality assessment was conducted based on the Quality Assessment of Diagnostic Accuracy Studies-2. The pooled estimates of sensitivity and specificity were calculated using a bivariate random-effects model. The overall quality was evaluated using the Grades of Recommendation, Assessment, Development, and Evaluation. Six studies (1,691 patients) and 11 index tests were included in our systematic review. A high risk of bias and concerns regarding the applicability of patient selection were noted because of the case-control design in 67% of the included studies. The pooled sensitivity and specificity were 93% (95% CI: 84–97%) and 97% (95% CI: 94–99%), respectively. The certainty of evidence was low because of the high risk of bias and indirectness. <b><i>Key Messages:</i></b> Anti-GBM antibodies may exhibit high sensitivity and specificity in the diagnosis of anti-GBM disease. Further cohort studies are needed to confirm their precise diagnostic accuracy and compare diagnostic accuracies among different immunoassays.
DOI: 10.5281/zenodo.5220652
title: Gluino data

description: gg &gt; 4 gluino and gg &gt; 2 gluino ME-level events.
DOI: 10.5281/zenodo.5220651
title: Gluino data

description: gg &gt; 4 gluino and gg &gt; 2 gluino ME-level events.
DOI: 10.15161/oar.it/74034
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.17632/kr3rd3xg52.1
title: title

description: Test
DOI: 10.6084/m9.figshare.14252897
title: Identification of Transcriptomic Differences between Lower Extremities Arterial Disease, Abdominal Aortic Aneurysm and Chronic Venous Disease in Peripheral Blood Mononuclear Cells Specimens - Dataset

description: Gene raw reads counts resulted from RNA sequencing (Ion Torrent S5 XL platform) of PBMCs samples.<br>This dataset was used to perform analyses described in the paper:Zalewski, D.P.; Ruszel, K.P.; Stępniewski, A.; Gałkowski, D.; Bogucki, J.; Kołodziej, P.; Szymańska, J.; Płachno, B.J.; Zubilewicz, T.; Feldo, M.; et al. Identification of Tran-scriptomic Differences between Lower Extremities Arterial Disease, Abdominal Aortic Aneurysm and Chronic Venous Disease in Peripheral Blood Mononuclear Cells Specimens. Int. J. Mol. Sci. 2021, 22, 3200. https://doi.org/10.3390/ijms22063200If you use this dataset, please cite our paper.
DOI: 10.17028/rd.lboro.15276396
title: Supplementary Information Files for Fasted plasma asprosin concentrations are associated with menstrual cycle phase, oral contraceptive use and training status in healthy women

description: Supplementary Information Files for Fasted plasma asprosin concentrations are associated with menstrual cycle phase, oral contraceptive use and training status in healthy women<br>Purpose: Asprosin, an orexigenic hormone that stimulates hepatic glucose release, is elevated in insulin resistance and associated with obesity. Plasma asprosin concentrations may also be related to female sex hormone levels; higher levels are reported in women with polycystic ovary syndrome (PCOS) but this may be related to peripheral insulin resistance also associated with PCOS. Clarification of female-specific factors influence on the plasma asprosin response is crucial for studies investigating asprosin. Therefore, this study determined the association of menstrual phase, oral contraceptive (OC) use (as a pharmacological influence on sex hormone levels) and training status (as a physiological influence on sex hormone levels) on plasma asprosin levels in pre-menopausal women. Methods: Fasting plasma asprosin, 17β-estradiol (E2) and progesterone, were assessed in 32 healthy untrained and trained women with regular menstrual cycles (non-OC; n = 8 untrained, n = 6 trained) or using OC (n = 10 untrained, n = 8 trained) during early follicular, late follicular and mid-luteal menstrual phases (or the time-period equivalent for OC users). Results: Asprosin was lower in OC (0.75 ± 0.38 ng mL−1) than non-OC users (1.00 ± 0.37 ng mL−1; p = 0.022). Across a cycle, asprosin was highest in the early follicular equivalent time-point in OC users (0.87 ± 0.37 ng mL−1) but highest in the mid-luteal phase in non-OC users (1.09 ± 0.40 ng mL−1). Asprosin concentrations varied more across a cycle in untrained than trained women, with higher concentrations in the early follicular phase compared to the late follicular and mid-luteal (training status-by-menstrual phase interaction p = 0.028). Conclusion: These findings highlight the importance of considering OC use, menstrual cycle phase and to a lesser extent training status when investigating circulating asprosin concentrations in females.<br>