cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21908124.v1
title: Supplementary Material for: One-day versus three-day low residue diet and bowel preparation quality before colonoscopy: a multicenter, randomized, controlled trial

description: Background One-day low residue diet (LRD) is recommended before colonoscopy, but only three single center trials compared the 1-day vs 3-days LRD. The aim of this multicenter study was to compare the impact of a 3-days vs 1-day LRD on its ability to adequately and successfully prepare the bowel of outpatients that require a colonoscopy. The outpatients' tolerance and adherence to the LRD were also considered. Methods Consecutive outpatients were randomized to 1-day vs 3-days LRD at three open-access Endoscopy units. The primary endpoint consisted of the proportion of patients with a satisfactory degree of bowel cleanliness (Score 2-3 on the Boston Bowel Preparation Scale (BBPS) in each segment). Secondary endpoints were patients’tolerance and adherence to the prescribed diet evaluated by a standardized questionnaire. Results 289 patients were included in the study (1-day LRD arm=143, 3-days LRD arm=146). BBPS≥2 was not significantly different in the two dietary regimens in any of the three colonic segments (71%vs72%, p=0.9). The percentage of patients with incomplete preparation was similar in the two arms (9%vs9%; p=1.0). No significant differences were found among colonoscopy findings in terms of abnormalities (81%vs84%, p=0.8). Both groups scored similarly in overall tolerance to LRD (48%vs49%, p=1.0) and also in whether they would haveadopted a different dietary regimen(p=0.3). Conclusion Our multicenter randomized study confirmed that optimal bowel cleansing is reached through a 1-day LRD.
DOI: 10.6084/m9.figshare.12075009.v2
title: A synthesis of the effects of livestock grazing on biodiversity from studies across the world

description: There are two files that contain the information extracted from each study. The first file contains all the meta-data associated with each study, such as the author names, article title, and general information about the study (e.g. GPS coordinates, livestock species). The second file has all the information extracted from the studies including the responding species, different sites, and effect estimates. We found from this meta-analysis that livestock negatively affected animals both for abundance and diversity. Details about the study and trends can be found in the published study in Ecology Letters. All code used to extract and analyze the data can be found at the GitHub repository.
DOI: 10.6084/m9.figshare.28804148.v1
title: Supplementary Material for: Endocytotic Albumin Uptake Pathways in Human Adipose Stem Cells and Connection to Intracellular Calcium Oscillations and the Neonatal Fc receptor (FcRn)

description: Intracellular Ca2+ oscillations of unknown function occur in human adipose tissue stem cells (ASCs). In the present study we investigated whether Ca2+ oscillations in ASCs from subcutaneous fat tissue derived from female patients were driving albumin endocytosis by involving the neonatal Fc receptor (FcRn), which is mediating the recycling of albumin and IgG. Our data demonstrated that endocytosis of albumin occurred by micropinocytosis (inhibition by cytochalasin D, wortmannin, and ethylisopropylamiloride (EIPA)), caveolae-dependent (inhibition by genistein and nystatin) and clathrin-mediated (inhibition by Dyngo-4a) pathways. In serum-free medium Ca2+ oscillations were absent, but could be induced by addition of either fetal bovine serum (FBS), albumin, IgG or a stimulating antibody against FcRn. Consequently, FcRn expression was demonstrated in ASCs by western blot analysis and immunohistochemistry, and colocalized with fluorescence-labelled, endocytosed albumin. Ca2+ oscillations were inhibited by the Ca2+ chelating agent BAPTA, the store-operated Ca2+ entry (SOCE) inhibitor SKF96365, the Ca2+ sensing receptor (CaSR) inhibitor NPS-2143, the macropinocytosis inhibitors cytochalasin D, wortmannin, and EIPA, the caveolae-dependent endocytosis inhibitors genistein and nystatin, and the clathrin-mediated endocytosis inhibitor Dyngo-4a. Uptake of fluorescence-labelled albumin was inhibited by agents interfering with Ca2+ oscillations and endocytosis blockers. Notably, not only intracellular albumin and IgG accumulation, but also Ca2+ oscillations were inhibited by the FcRn-blocking antibody nipocalimab which interferes with the IgG binding site of FcRn. Moreover, siRNA-mediated downregulation of FcRn protein expression significantly reduced intracellular albumin content, the number of cells displaying Ca2+ oscillations, and the duration and amplitude of Ca2+ signals. In summary, our data suggest that Ca2+ oscillations in human ASCs regulate albumin uptake and presumably IgG recycling via FcRn.
DOI: 10.6084/m9.figshare.6832565.v1
title: A Reliable Method for Predicting the Specific Impulse of Chemical Propellants

description: ABSTRACT The specific impulse (Isp) is an important performance parameter that describes energy efficiency of propellant combustion and is intimately related to the rocket engine thrust. In this study, it was possible by using only two variables, i.e., the heat of reaction (Q) and the number of moles of gaseous reaction products per gram of propellant (Ng) calculated according to [H2O-CO2] arbitrary decomposition assumption and constants derived from the ISPBKW code to predict the specific impulse of more than 165 compositions belonging to virtually all classes of propellants such as monopropellants, single-base, double-base, triple-base, and cast modified double-base (CMDB) propellants, pseudo-propellants, composite propellants, liquid mono- and bipropellants, and finally hybrid propellants. Further analysis reveals that for C-H-N-O containing propellants, the specific impulse values estimated using the new method should not deviate more than 5% from the output of the ISPBKW thermochemical code.
DOI: 10.6084/m9.figshare.13065920.v3
title: Supplementary data and research materials for "Face Masks Considerably Reduce Covid-19 Cases in Germany -- A synthetic control method approach"

description: This project folder contains supplementary data files and software codes (Stata and Matlab) to replicate the estimation and simulation results documented in:<br><br>"Face Masks Considerably Reduce COVID-19 Cases in Germany", written by Mitze, T., Kosfeld, R., Rode, J. and Wälde, K. (2020).<br>The paper has been published in the Proceedings of the National Academy of Sciences (PNAS), 117 (51), 32293-32301 with DOI: https://doi.org/10.1073.<br>An older working paper version of this research can be download as CESifo Working Paper No. 8479 from: https://www.cesifo.org/DocDL/cesifo1_wp8479.pdf.<br><br>
DOI: 10.6084/m9.figshare.14720910.v1
title: COVID-19 Normalidad.mpx

description: Application of the normality test to health systems
DOI: 10.6084/m9.figshare.25050149.v1
title: WASHpsych Nigeria dataset

description: This is the WASHpsych Nigeria dataset.
DOI: 10.6084/m9.figshare.6011624.v1
title: An empirical evaluation of imbalanced data techniques from a practitioner's point of view

description: Data, results and analysis of the experiments described in the paper An empirical evaluation of imbalanced data techniques from a practitioner's point of view<br>
DOI: 10.15468/dl.62q27a
title: Occurrence Download

description: A dataset containing 611 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Tortricodes alternella (Denis & Schiffermüller), 1775"
 ]
}

 The dataset includes 611 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009672-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28874399.v1
title: OASIS Dataset.zip

description: The Benchmark OASIS database for Alzheimer's disease Analysis
DOI: 10.6084/m9.figshare.5143993.v1
title: Gene expression microarray datasets in NETCDF format from MEM database

description: The raw .CEL files and annotations were downloaded from ArrayExpress https://www.ebi.ac.uk/arrayexpress/ and stored as a part of the collection in Multi Experiment Matrix http://biit.cs.ut.ee/mem/ .As a part of MEM data preprocessing pipeline the samples were quantile-normalised and background corrected using just.rma() function from affy R package with default parameters. Preprocessed datasets were converted to ncdf format using ncdf R package. <br>List of the datasets in this collection:E-MEXP-2280 <br>E-GEOD-5281E-GEOD-4757 E-GEOD-29652 E-GEOD-28146 E-GEOD-18309<br>
DOI: 10.6084/m9.figshare.21625046.v1
title: EOR_Screening

description: The successful EOR fields data is attached here
DOI: 10.6084/m9.figshare.23683644.v1
title: Xylaria hypoxylon annotated genome

description: Genome data for xylaria hypoxylon
DOI: 10.6084/m9.figshare.14727741.v1
title: 24hpf CTCF Whole Embryo

description: For UCSC
DOI: 10.6084/m9.figshare.7217744.v1
title: Raw phenotype, heterozygosity, population structure and climate data

description: This data was collected as described in https://doi.org/10.1101/420752
DOI: 10.6084/m9.figshare.21334545.v1
title: EEG

description: <strong>Beta rhythmicity in human motor cortex reflects neural population coupling that modulates subsequent finger coordination stability</strong>
DOI: 10.5281/zenodo.14832503
title: The UNICORN Challenge: public few-shots

description: * Shared first authors: Clément Grisi, Michelle Stegeman, Judith Lefkes, Marina D'Amato, Rianne Weber, Luc Builtjes, Lena Philipp, Fennie van der Graaf, Joeran Bosma

** Shared last authors: Alessa Hering, Francesco Ciompi The UNICORN (Unified beNchmark for Imaging in COmputational pathology, Radiology and Natural language) challenge is an innovative benchmarking challenge that is part of the MICCAI 2025 Lighthouse Challenges. The goal of UNICORN is to address the lack of a comprehensive, public benchmark for evaluating the performance of multimodal foundation models in medical imaging. It provides a unified set of 20 tasks that span both vision and language in the fields of radiology and digital pathology.

This dataset includes publicly available few-shots cases for the challenge tasks. These examples aim to provide participants with an understanding of the data structure for each of the 20 tasks and can be used for local development.
DOI: 10.5281/zenodo.14866075
title: The UNICORN Challenge: public few-shots

description: * Shared first authors: Clément Grisi, Michelle Stegeman, Judith Lefkes, Marina D'Amato, Rianne Weber, Luc Builtjes, Lena Philipp, Fennie van der Graaf, Joeran Bosma

** Shared last authors: Alessa Hering, Francesco Ciompi The UNICORN (Unified beNchmark for Imaging in COmputational pathology, Radiology and Natural language) challenge is an innovative benchmarking challenge that is part of the MICCAI 2025 Lighthouse Challenges. The goal of UNICORN is to address the lack of a comprehensive, public benchmark for evaluating the performance of multimodal foundation models in medical imaging. It provides a unified set of 20 tasks that span both vision and language in the fields of radiology and digital pathology.

This dataset includes publicly available few-shots cases for the challenge tasks. These examples aim to provide participants with an understanding of the data structure for each of the 20 tasks and can be used for local development.
DOI: 10.5281/zenodo.14924073
title: The UNICORN Challenge: public few-shots

description: * Shared first authors: Clément Grisi, Michelle Stegeman, Judith Lefkes, Marina D'Amato, Rianne Weber, Luc Builtjes, Lena Philipp, Fennie van der Graaf, Joeran Bosma

** Shared last authors: Alessa Hering, Francesco Ciompi The UNICORN (Unified beNchmark for Imaging in COmputational pathology, Radiology and Natural language) challenge is an innovative benchmarking challenge that is part of the MICCAI 2025 Lighthouse Challenges. The goal of UNICORN is to address the lack of a comprehensive, public benchmark for evaluating the performance of multimodal foundation models in medical imaging. It provides a unified set of 20 tasks that span both vision and language in the fields of radiology and digital pathology.

This dataset includes publicly available few-shots cases for the challenge tasks. These examples aim to provide participants with an understanding of the data structure for each of the 20 tasks and can be used for local development.
DOI: 10.5281/zenodo.15112095
title: The UNICORN Challenge: public few-shots

description: * Shared first authors: Clément Grisi, Michelle Stegeman, Judith Lefkes, Marina D'Amato, Rianne Weber, Luc Builtjes, Lena Philipp, Fennie van der Graaf, Joeran Bosma

** Shared last authors: Alessa Hering, Francesco Ciompi The UNICORN (Unified beNchmark for Imaging in COmputational pathology, Radiology and Natural language) challenge is an innovative benchmarking challenge that is part of the MICCAI 2025 Lighthouse Challenges. The goal of UNICORN is to address the lack of a comprehensive, public benchmark for evaluating the performance of multimodal foundation models in medical imaging. It provides a unified set of 20 tasks that span both vision and language in the fields of radiology and digital pathology.

This dataset includes publicly available few-shots cases for the challenge tasks. These examples aim to provide participants with an understanding of the data structure for each of the 20 tasks and can be used for local development.
DOI: 10.5281/zenodo.15309688
title: The UNICORN Challenge: public few-shots

description: * Shared first authors: Clément Grisi, Michelle Stegeman, Judith Lefkes, Marina D'Amato, Rianne Weber, Luc Builtjes, Lena Philipp, Fennie van der Graaf, Joeran Bosma

** Shared last authors: Alessa Hering, Francesco Ciompi The UNICORN (Unified beNchmark for Imaging in COmputational pathology, Radiology and Natural language) challenge is an innovative benchmarking challenge that is part of the MICCAI 2025 Lighthouse Challenges. The goal of UNICORN is to address the lack of a comprehensive, public benchmark for evaluating the performance of multimodal foundation models in medical imaging. It provides a unified set of 20 tasks that span both vision and language in the fields of radiology and digital pathology.

This dataset includes publicly available few-shots cases for the challenge tasks. These examples aim to provide participants with an understanding of the data structure for each of the 20 tasks and can be used for local development.
DOI: 10.5281/zenodo.15315589
title: The UNICORN Challenge: public few-shots

description: * Shared first authors: Clément Grisi, Michelle Stegeman, Judith Lefkes, Marina D'Amato, Rianne Weber, Luc Builtjes, Lena Philipp, Fennie van der Graaf, Joeran Bosma

** Shared last authors: Alessa Hering, Francesco Ciompi The UNICORN (Unified beNchmark for Imaging in COmputational pathology, Radiology and Natural language) challenge is an innovative benchmarking challenge that is part of the MICCAI 2025 Lighthouse Challenges. The goal of UNICORN is to address the lack of a comprehensive, public benchmark for evaluating the performance of multimodal foundation models in medical imaging. It provides a unified set of 20 tasks that span both vision and language in the fields of radiology and digital pathology.

This dataset includes publicly available few-shots cases for the challenge tasks. These examples aim to provide participants with an understanding of the data structure for each of the 20 tasks and can be used for local development.
DOI: 10.6084/m9.figshare.24164319.v1
title: Supplementary materials for Paleoearthquakes at the junction of the Tokomaru and Northern Ōhāriu faults, implications for fault interactions in the southern North Island, New Zealand

description: Includes unit descriptions for Makahika-1 and Makahika-2 trench logs, photo-orthomosaics for Makahika-1 and Makahika-2, and the OxCal code used to model earthquake ages in Makahika-1 and at other sites in the southern North Island.
DOI: 10.6084/m9.figshare.4542952.v1
title: Supplementary Material for: Effects of Cerebellothalamic Tractotomy on Cognitive and Emotional Functioning in Essential Tremor: A Preliminary Study in 5 Essential Tremor Patients

description: <b><i>Background:</i></b> Subthalamic stereotactic interventions have recently caught renewed interest as a treatment for essential tremor (ET). However, it is not clear whether these interventions are associated with neurocognitive, mood or personality changes. <b><i>Objective:</i></b> To investigate neurocognition, neuropsychiatric functions and personality variables in patients with ET and to explore the neurocognitive and neuropsychiatric effects of cerebellothalamic tractotomy (CTT), a form of subthalamotomy. <b><i>Methods:</i></b> In our study, we investigated cognitive functions, frontal functions, mood and personality variables in 5 patients with intractable ET. Patients were tested before and 3 months after surgery using neuropsychological tests, clinical scales for depression, anxiety, anger regulation and a personality test. <b><i>Results:</i></b> Before surgery, ET patients showed normal neurocognitive function, a slightly elevated frontal lobe score in the dimensions mental control and memory, without being indicative of a frontal lesion, and no elevated depression or anxiety scores compared to norm values. After surgery, there was no change in neurocognitive function and no increase in depression or anxiety scores. <b><i>Conclusion:</i></b> In this exploratory study on 5 ET patients, CTT was not associated with alterations of mood or neurocognitive functions.
DOI: 10.6084/m9.figshare.26537119.v1
title: Supplementary Material for: PRECLINICAL EVALUATION OF SODIUM BUTYRATE’S POTENTIAL TO REDUCE ALCOHOL CONSUMPTION: A DOSE ESCALATION STUDY IN C57BL/6J MICE IN ANTIBIOTIC-ENHANCED BINGE-LIKE DRINKING MODEL

description: Introduction: In our earlier efforts to establish gut-brain axis during alcohol use disorder (AUD), we have demonstrated that supplementation of C57BL/6J male mice with 8 mg/ml sodium butyrate, a major short-chain fatty acid, in drinking water reduced ethanol intake and neuroinflammatory response in antibiotic (ABX)-enhanced voluntary binge-like alcohol consumption model, drinking in the dark (DID). Methods: To further evaluate the pre-clinical potential of SB, we have set a dose-escalation study in C57BL/6J male mice to test effects of ad libitum 20 mg/ml SB (SB20) and 50 mg/ml SB (SB50) and their combinations with ABX in the DID procedure for 4 weeks. Effects of these SB concentrations on ethanol consumption and bodily parameters were determined for the duration of the treatments. At the end of study, blood, liver and intestinal tissues were collected to study any potential adverse effects ad to measure blood ethanol concentrations. Results: Increasing SB concentrations in the drinking water caused a loss in the protective effect against ethanol consumption and produced adverse effects on body and liver weights, reduced overall liquid intake. The hypothesis that these effects were due to aversion to SB smell/taste at these high concentrations were further tested in a follow up proof-of-concept study with intragastric gavage administration of SB. The higher gavage dose (320 mg/kg) caused reduction in ethanol consumption without any adverse effects. Conclusion: Overall, these findings added more support for the therapeutic potential of SB in management of AUD, given a proper form of administration.
DOI: 10.6084/m9.figshare.12808439.v2
title: Table 1. Supplementary material

description: Table 1. Supplementary material
DOI: 10.6084/m9.figshare.19241955.v1
title: White blood cells

description: In this study, we propose a deep learning method to enhance the features of white blood images collected from Kaggle to distinguish white blood images into four groups: EOSINOPHIL, LYMPHOCYTE, MONOCYTE and NEUTROPHIL cells using ResNet-18 with a modified output layer.
DOI: 10.6084/m9.figshare.4579240.v1
title: Table_S1_full_matrix.xls from Computational biomechanics changes our view on insect head evolution

description: Despite large-scale molecular attempts, the relationships of the basal winged insect lineages dragonflies, mayflies and neopterans, are still unresolved. Other data sources, such as morphology, suffer from unclear functional dependencies of the structures considered, which might mislead phylogenetic inference. Here, we assess this problem by combining for the first time biomechanics with phylogenetics using two advanced engineering techniques, multibody dynamics analysis and finite-element analysis, to <i>objectively</i> identify functional linkages in insect head structures which have been used traditionally to argue basal winged insect relationships. With a biomechanical model of unprecedented detail, we are able to investigate the mechanics of morphological characters under biologically realistic load, i.e. biting. We show that a range of head characters, mainly ridges, endoskeletal elements and joints, are indeed mechanically linked to each other. An analysis of character state correlation in a morphological data matrix focused on head characters shows a highly significant correlation of these mechanically linked structures. Phylogenetic tree reconstruction under different data exclusion schemes based on the correlation analysis unambiguously supports a sistergroup relationship of dragonflies and mayflies. The combination of biomechanics and phylogenetics as it is proposed here could be a promising approach to assess functional dependencies in many organisms to increase our understanding of phenotypic evolution.
DOI: 10.6084/m9.figshare.26866987.v1
title: Data_COMMSENV-24-0033

description: Data_COMMSENV-24-0033
DOI: 10.6084/m9.figshare.5771364.v1
title: Reddit Scholar Posts (Scraped from April - August 2014)

description: One file containing posts to Reddit's r/Scholar forum. These were scraped from April 2014 through August 2014. The following variables are available for each post:<br>*DayOfWeek*Date *Week *Title *User*Description*Link *FirstLinkProvided *FirstLinkProvidedDomain*UserSuppliedISBN*UserSuppliedPMID*UserSuppliedDOI<br><br><br>Preparation: <b>(1) Scraping:</b> Scraping took place via Google Sheets and Google Scripts. Google Sheets code used to scrape Reddit is available here: https://ctrlq.org/code/19600-reddit-scraper-script?_ga=2.69874256.1771062494.1515537454-939238282.1515537453<br><b>(2) Cleaning:</b> After scraping, data was cleaned and enriched in Excel. Extraneous HTML tags were removed and Excel's Text to Columns command was used to separate the posts into more easily analyzable chunks. Excel's IF, SEARCH, and FIND functions were used to extract the FirstLinkProvided, UserSupliedISBN, UserSuppliedPMID, and UserSuppliedDOI information. OpenRefine (http://openrefine.org) was used to turn the FirstLinkProvided values into the FirstLinkProviedDomain values.<br>Caveats: *Some posts requested more than one item. If two or more URLs were supplied in a post, only the first was captured by the URL extraction method used in Excel. *To allow for verification of the scrape's accuracy, a link back to each original post on Reddit is included. (These links also allow for researchers to see the comments on the original post, which may have been made after the scrape took place and are not included in this file.) Links to original posts reveal user information. Because identification of users would be a trivial matter for someone who followed links to the original posts, no attempts were made to anonymize user IDs in this file.