cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21524628.v1
title: Supplementary Material for: Nature and Trends in Personal Payments Made to the Respiratory Physicians by Pharmaceutical Companies in Japan between 2016 and 2019

description: <b><i>Background:</i></b> Financial relationships between healthcare professionals and pharmaceutical companies have historically caused conflicts of interest and unduly influenced patient care. However, little was known about such relationship and its effect in clinical practice among specialists in respiratory medicine. <b><i>Methods:</i></b> Based on the retrospective analysis of payment data made available by all 92 pharmaceutical companies in Japan, this study evaluated the magnitude and trend of financial relationships between all board-certified Japanese respiratory specialists and pharmaceutical companies between 2016 and 2019. Magnitude and prevalence of payments for specialists were analyzed descriptively. The payment trends were assessed using the generalized estimating equations for the payment per specialist and the number of specialists with payments. <b><i>Results:</i></b> Among all 7,114 respiratory specialists certified as of August 2021, 4,413 (62.0%) received a total of USD 53,547,391 and 74,195 counts from 72 (78.3%) pharmaceutical companies between 2016 and 2019. The median (interquartile range) 4-year combined payment values per specialist were USD 2,210 (USD 715–8,178). At maximum, one specialist received USD 495,332 personal payments over the 4 years. Both payments per specialist and number of specialists with payments significantly increased during the 4-year period, with 7.8% (95% CI: 5.5–9.8; <i>p</i> &lt; 0.001) in payments and 1.5% (95% CI: 0.61–2.4; <i>p</i> = 0.001) in number of specialists with payments, respectively. <b><i>Conclusion:</i></b> The majority of respiratory specialists had increasingly received more personal payments from pharmaceutical companies for the reimbursement of lecturing, consulting, and writing between 2016 and 2019. These increasing financial relationships with pharmaceutical companies might cause conflicts of interest among respiratory physicians.
DOI: 10.6084/m9.figshare.23001782.v1
title: Additional file 15 of Comparison between 5 extractions methods in either plasma or serum to determine the optimal extraction and matrix combination for human metabolomics

description: Additional file 15. Table S11. Summary of sensitivityfor labeled standard analytes across all extraction methods and LC-MS analyses. Sensitivity is given by the calibration curve slope, and the LOD and LOQ values are calculated as those corresponding to the signal-to-noise ratios of 3:1 and 10:1, respectively. The table displays a mean of LOD and LOQfor plasma vs. serum in each LC-MS conditions. Empty boxes stands not detected. LOD : limit of detection; LOQ : limit of quantitation; MeOH : methanol; MeOH:ACN : methanol combined with acetonitrile; ACN: acetonitrile; SPE : solid preparation extraction; ESI : electrospray ionisation; RP: reverse phase.
DOI: 10.6084/m9.figshare.28920188.v1
title: <b>Like, Share, Cry:</b> A Zine about Social Media Addiction

description: A Zine about social media addiction created as part of my Human Computer Interaction Design (HCID) course at City & St George's University in London. It defines and explores the causes and impact of social media addiction with quotes from real people. It explores how the design of social media platforms contribute to this addiction and discusses them in the context of the Social Justice Network Principles.<br><br><b><i>Note:</i></b><i> Uncredited third-party material has been reused under academic fair use.</i>
DOI: 10.17632/9m4g52grhj
title: AI_Venomics_Venom-encrypted peptides_APEX_Datasets

description: Data S1. List of VEP predicted by APEX to have a median MIC ≤ 32 μmol l−1.
Data S2. List of VEP identified by APEX and filter criterion.
DOI: 10.17632/9sz8c8dhjj
title: Data for: Dataset of in-vitro measured chemicals neurotoxicity.

description: The material in this repository is associated with the article titled 'Dataset of In Vitro Measured Chemicals Neurotoxicity,' to be published in Data in Brief (Ulaszek et al., 2024). This dataset presents quantitative results from in vitro neurotoxicity tests conducted on human-derived cell cultures, involving 61 chemicals. The repository includes the 'NeuroTox_database.xlsx' file, which consists of three tabs: 'Metabolic Activity', 'MEA', and 'Others.' Each tab represents different methods used for measuring cell death or loss of functionality.
DOI: 10.17632/tmtbzyyj2r
title: Targeted perturbation of signaling-driven condensates. Gui et al. Figure 6, 6S, 7 and 7S

description: Targeted perturbation of signaling-driven condensates. Gui et al. Figure 6, 6S, 7 and 7S
DOI: 10.6084/m9.figshare.19573447.v1
title: Minimal Data Set.xlsx

description: Sheet 1 <strong>Nematodes per 10 cm2 in each station.</strong> Sheet 2 <strong>Sediment size </strong>
DOI: 10.6084/m9.figshare.28527935.v1
title: UPS2 dataset. A benchmark dataset for evaluating the performance of PowerNovo2, Casanovo, PepNet, PEAKS Studio

description: UPS2 dataset represents a mixture of human-derived proteins, consisting of six groups with eight proteins each, whose concentrations span six orders of magnitude. The UPS2 proteins were added to an Escherichia coli extract to mimic complex biological matrices, making it a suitable tool for analyzing the sensitivity of algorithms under conditions of high sample complexity. The archive contains the dataset files converted to the MGF format.
DOI: 10.6084/m9.figshare.7945928.v2
title: Unmanned aerial vehicle (UAV) derived structure-from-motion photogrammetry point clouds for oil palm (<i>Elaeis guineensis</i>) canopy segmentation and height estimation

description: The vast size of oil palm (<i>Elaeis guineensis</i>) plantations has led to lightweight unmanned aerial vehicles (UAVs) being identified as cost effective tools to generate inventories for improved plantation management, with proximal aerial data capable of resolving single palm canopies at potentially, centimetric resolution. If acquired with sufficient overlap, aerial data from UAVs can be processed within structure-from-motion (SfM) photogrammetry workflows to yield volumetric point cloud representations of the scene. Point cloud-derived structural information on individual palms can benefit not only plantation management but is also of great environmental research interest, given the potential to deliver spatially contiguous quantifications of aboveground biomass, from which carbon can be accounted. Using lightweight UAVs we captured data over plantation plots of varying ages (2, 7 and 10 years) at peat soil sites in Sarawak, Malaysia, and we explored the impact of changing spatial resolution and image overlap on spatially variable uncertainties in SfM derived point clouds for the ten year old plot. Point cloud precisions were found to be in the decimetre range (mean of 26.7 cm) for a 10 year old plantation plot surveyed at 100 m flight altitude and &gt;75% image overlap. Derived canopy height models were used and evaluated for automated palm identification using local height maxima. Metrics such as maximum canopy height and stem height, derived from segmented single palm point clouds were tested relative to ground validation data. Local maximum identification performed best for palms which were taller than surrounding undergrowth but whose fronds did not overlap significantly (98.2% mapping accuracy for 7 year old plot of 776 palms). Stem heights could be predicted from point cloud derived metrics with root-mean-square errors (RMSEs) of 0.27 m (<i>R<sup>2</sup> </i>= 0.63) for 7 year old and 0.45 m (<i>R<sup>2</sup> </i>= 0.69) for 10 year old palms. It was also found that an acquisition designed to yield the minimal required overlap between images (60%) performed almost as well as higher overlap acquisitions (&gt;75%) for palm identification and basic height metrics which is promising for operational implementations seeking to maximise spatial coverage and minimise processing costs. We conclude that UAV-based SfM can provide reliable data not only for oil palm inventory generation but allows the retrieval of basic structural parameters which may enable per-palm above-ground biomass estimations.
DOI: 10.17632/2kpmwrckgb
title: Replication Package for “Mitigating Information Frictions in Trade: Evidence from Export Credit Guarantees”

description: This repository provides codes to replicate all tables and figures in the paper and the Online Appendix of “Mitigating Information Frictions in Trade: Evidence from Export Credit Guarantees”. As the providers of these micro-level data – Statistics Sweden (SCB) and the Swedish Export Credit Agency (ECA) – do not allow any dissemination due to confidentiality constraints, an exemption from the data policy was requested.
DOI: 10.17632/r3cy5kk4wg
title: Preliminary Venomic Characterization of the Venom of Phalotris lemniscatus (Serpentes, Colubridae)

description: This dataset correspond to the proteomic analysis of the article entitle “Preliminary Biochemical and Venomic Characterization of the Venom of Phalotris lemniscatus (Serpentes, Colubridae)” sending to Current topics in medicinal chemistry. The data set include the raw files of each band of mass spectroscopy and the database used to identify the proteins. To observe the SDS page, please refer to the article. “Protein bands were excised and sent to the Spectroscopy and Biophysics Core, University of Nebraska, Lincoln (via Science Exchange) to in-gel trypsin digestion and peptide fragmentation by LC-MS/MS. The instrument was an LTQ Velos Pro (Thermo Scientific) equipped with dual pressure ion-trap. Raw data obtained by proteomic analysis was analyzed using MaxQuant software [30–32] with the default parameters (false discovery rate 0,01). As a sequence database to match for protein identification, a fasta file download from Uniprot was used. Database was constituted by all the reviewed sequenced proteins of snakes, around 2500 proteins from Swiss-Prot database (taxonomy:"Serpentes (snakes) [8570]" AND reviewed:yes)”.
DOI: 10.17632/tvzt6h5j2w
title: Experiencias en proyectos de extensión de energías renovables en Salta

description: En el Noroeste Argentino, la energía renovable con mayor potencialidad de uso es la solar. Se expone aquí la experiencia adquirida al haber realizado proyectos de extensión de equipos de energía renovable, de uso unifamiliar o comunitario. Parte de esta tecnología puede ya ser de aplicación masiva, como el calefón solar, especialmente a partir de la suba de precio del gas natural y de la energía eléctrica. El objetivo, que se ha cumplido en la gran mayoría de los casos, ha sido dar solución a alguna problemática real de las comunidades o usuarios finales de estas tecnologías, que se realizaron de manera que queden capacitados para realizar mantenimiento de los equipos en cada caso. La realización de estos trabajos en forma sistemática mediante convenios entre instituciones otorgará la posibilidad de masificar el uso de fuentes renovables.
DOI: 10.6084/m9.figshare.14346647.v1
title: Changes in dead space components during pressure-controlled inverse ratio ventilation

description: Novel theory of volumetric capnography was described in the supplemental data.<br><br>
DOI: 10.6084/m9.figshare.22189870.v1
title: ASTRAL species tree files

description: ASTRAL species tree files
DOI: 10.6084/m9.figshare.26778574.v1
title: Changing patterns of global nitrogen deposition driven by socio-economic development

description: We compiled data from international N deposition networks and 1,390 published papers and constructed a Monitoring-based Global Nitrogen Deposition (MGND) database for 1977–2021, encompassing more than 50,000 site-years of data. Based on the cascading relationship of GDPpc → ENr → satellite N column concentration (CN, e.g., NH3 or NO2) → meteorological factors (e.g., mean annual precipitation, MAP) → FN, we developed a framework to generate a global N deposition grid dataset with a resolution of 0.125° × 0.125° for 2008–2020.
DOI: 10.6084/m9.figshare.7218155.v1
title: Macfarlan_ESM from Bands of brothers and in-laws: Waorani warfare, marriage and alliance formation

description: The root of modern human warfare lies in the lethal coalitionary violence of males in small-scale societies. However, little quantitative data exist concerning the form and function of coalitionary violence in this setting. Debates exist over how lethal coalitions are constituted, as well as the motivations and benefits for males to join such groups. Data from a lowland Amazonian population, the Waorani of Ecuador, illuminate three issues: (i) the degree to which raiding parties are composed of groups of fraternal kin as opposed to strategic alliances of actual or potential affinal kin, (ii) the extent to which individuals use pre-existing affinal ties to motivate others to participate in war or leverage warfare as a mechanism to create such ties and (iii) the extent to which participation in raiding is driven by rewards associated with future marriage opportunities. Analyses demonstrate that Waorani raiding parties were composed of a mix of males who were potential affines, actual affines and fraternal kin, suggesting that men used pre-existing genetic, lineal and social kin ties for recruiting raid partners and used raiding as a venue to create novel social relationships. Furthermore, analyses demonstrate that males leveraged raiding alliances to achieve marriage opportunities for themselves as well as for their children. Overall, it appears that a complex set of motivations involving individual rewards, kin marriage opportunities, subtle coercion and the assessment of alliance strength promote violent intergroup conflict among the Waorani. These findings illustrate the complex inter-relationships among kin selection, coalition building and mating success in our species.
DOI: 10.17632/54pv8f6ynr
title: Participatory Framework for Urban Pluvial Flood Modeling in the Digital Twin Era

description: The recent surge in digital twin technology, which creates virtual replicas of real-world processes, offers an interactive testbed for understanding and predicting environmental changes. Globally, as urban areas face increasing extreme heavy rainfalls and the resulting pluvial floods caused by inadequate drainage systems, collaboration between governments and local residents becomes crucial in managing flood risks. This paper proposes a participatory framework for urban pluvial flood modeling, incorporating open source software, virtual reality, minimum viable product, and gamification aspects. This framework engages citizens in every phase of the process, from input data preparation and hydrological model construction to model verification and experiments, leveraging local knowledge and collective action. Using the recurring pluvial flood damages experienced in South Korea's Gangnam region as a case study, this paper showcases the potential of an interactive, web-based crowdsourcing platform to facilitate citizen participation. This framework underscores the proactive role of citizens, not just as mere recipients of disaster information but as key contributors, collaborating with a range of stakeholders in flood modeling and stormwater management. By integrating digital twin technology with community engagement, we can foster informed decision-making and spontaneous participation in the evolving digital era, leading to a disaster-resilient community.
DOI: 10.17632/fmw97xwvdt
title: A Survey on Knowledge, Attitudes, and Practice About Antibiotic Prescribing and Resistance Among Medical Practitioners in Kenya

description: Antibiotic resistance is a growing global health threat worldwide and especially in developing countries. Irrational antibiotic prescription as well as lack of the requisite knowledge and awareness on proper antibiotic use are major drivers of antibiotic resistance. In Kenya, although the Ministry of Health has developed antibiotic use guidelines, these guidelines are not widely followed. Antibiotic prescription is, therefore, hugely at the discretion of the clinician. It is thus necessary to understand the knowledge, attitude, and practices (KAP) of antibiotic prescription among medical practitioners in the country. This study aimed to evaluate the knowledge, attitude, and practices (KAP) among antibiotic prescribers in three counties (Kiambu, Nakuru, and Bungoma) in Kenya. This was a cross-sectional study using a self-administered questionnaire. Simple descriptive statistics were used to generate frequencies, percentages, and proportions. Where necessary, univariate analyses such as Pearson’s Chi-Square were performed to compare proportions for statistical significance. The study used a structured self-administered questionnaire, which was developed in consultation with experts on antimicrobial resistance as well as previous studies (1). The survey instrument was a seven-part series questionnaire, with each series containing a set of questions intended to capture standardized responses. The questions ranged from those targeting general information responses to those that assessed knowledge, attitude, and practice in using antimicrobials. The first part entailed general questions on the number of years the respondent had worked since graduation from medical school, their current department, and designation. The second part comprised of the prescription pattern and the questions included frequency of prescribing antibiotics and use of antibiotic prescription guidelines when prescribing. The third part focused on the awareness and attitude on the current scope of antibiotic resistance while part four required the respondents to describe their confidence in antibiotic knowledge in prescribing and whether they consult their colleagues when prescribing. In part five, the source of information on antibiotic prescription and resistance was sought and part six aimed to know what guides their judgment when prescribing antibiotics. The last part included questions on the knowledge of antibiotic-resistant bacteria and the management of their infections. Both the data obtained and the questionnaire tool used to collect the data are shared.

References
1. Gitaka, Jesse, Moses Kamita, Dominic Mureithi, Davies Ndegwa, Moses Masika, Geoffrey Omuse, Moses Ngari et al. "Combating antibiotic resistance using guidelines and enhanced stewardship in Kenya: a protocol for an implementation science approach." BMJ open 10, no. 3 (2020): e030823.
DOI: 10.6084/m9.figshare.19780342.v1
title: DsyRegNet: A dataset to demo the software/code

description: A dataset to demo the software tool DysRegNet https://github.com/biomedbigdata/DysRegNet_package <br> <br> <br> Original paper: DysRegNet: Patient-specific and confounder-aware dysregulated network inference doi: https://doi.org/10.1101/2022.04.29.490015
DOI: 10.6084/m9.figshare.22773503.v2
title: DOM offsets the detrimental effects of climate change in the nitrogen fixing cyanobacterium <em>Crocosphaera </em>

description: ABSTRACT: Diazotrophs provide a significant reactive nitrogen source in the ocean. Increased warming, stratification and acidification may decrease nutrient availability in the future influencing all ecosystems with deleterious impacts for primary productivity and carbon export. Not depending on reactive nitrogen availability, diazotrophs may be "winners" in a nutrient depleted ocean. We exposed cultures of the widespread diazotroph <i>Crocosphaera</i> to low (26°C, pH 8.1), moderate (28°C, pH 8.0) and extreme (30°C, pH 7.9) climate change treatments and test their responses to additions of dissolved organic matter, including carbohydrates, and dissolved inorganic nitrogen.NOTE: This data set only contains the core parameters including pH, temperature, nutrients, as well as the cell abundance. Figures illustrating the experimental set up are also provided. In addition, gene expression analysis of the main metabolic pathways of this diazotroph between treatments, experimental time points and different coditions (e.g. DOM versus unmodified samples) are included in this dataset.Contact info: filella.lamadrid@gmail.com; jacqueline.umbricht@io-warnemuende.de<br><br>
DOI: 10.6084/m9.figshare.24783903.v1
title: Uso de Ferramentas de Linguagem (LLMs) na Educação

description: Material suplementar da pesquisa "Uso de Ferramentas de Linguagem (LLMs) na Educação"
DOI: 10.6084/m9.figshare.29142830.v1
title: Protein databases

description: Marine_shuffled.fasta: protein database for the marine metaproteomes (marine2 and marine3) containing both original target and shuffled (entrapment) protein sequences.Soil_shuffled.fasta: protein database for the soil metaproteomes (soil1, soil2 and soil3) containing both original target and shuffled (entrapment) protein sequences.Mock_Comm_RefDB_V3_shuffled.fasta: protein database for the mock community metaproteomes (P1, P2 and P3) containing both original target and shuffled (entrapment) protein sequences.stool_nrnew_shuffled.fasta: protein database for the human gut metaproteome (HG) containing both original target and shuffled (entrapment) protein sequences.GUT_DB2MG_shuffled.fasta: protein database for the human gut metaproteome using timsTOF data (HGT) containing both original target and shuffled (entrapment) protein sequences.synthetic.fasta: protein database for the mixture of the mock community (original target) and (27) foreign species' (entrapment) protein sequences.<br>
DOI: 10.6084/m9.figshare.790722.v1
title: Simulation files for the article "Response of the hydrophilic part of lipid membranes to changing conditions – a critical comparison of simulations to experiments" by O. H. S. Ollila

description: These are the simulation files to reproduce the results in the manuscript "Response of the hydrophilic part of lipid membranes to changing conditions – a critical comparison of simulations to experiments" by O. H. S. Ollila. http://arxiv.org/abs/1309.2131 Instructions can be found from README files. The manuscript and data are further discussed in http://nmrlipids.blogspot.fi/
DOI: 10.6084/m9.figshare.958784.v1
title: Gaussian Job Archive for C6H6Br2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.9741305.v1
title: Clinical factors, C-reactive protein point of care test and chest X-ray in patients with pneumonia: A survey in primary care

description: <b>Background:</b> In patients with an acute lower respiratory tract infection (LRTI), general practitioners (GPs) often find it challenging to decide to prescribe antibiotics or not. C-reactive protein (CRP) point of care test (POCT), and chest X-ray are diagnostic tests that can optimize the treatment decision. However, their usefulness in clinical practice is unknown. <b>Objectives:</b> To determine the proportion of Dutch GPs using CRP and chest X-ray in patients with an acute LRTI. To determine whether clinical factors and C-reactive protein point of care test affect the behaviour in requesting chest X-rays. <b>Methods:</b> In 2014, a questionnaire was sent to a random sample of 900 Dutch GPs. Outcome parameters are the use of CRP and chest X-ray, the percentage of GPs who guide their decision in requesting chest X-rays by CRP testing and the GP’s expectation regarding presence or absence of pneumonia. In addition, considerations for requesting chest X-rays were assessed. <b>Results:</b> Two hundred and fifty-five completed questionnaires (29%) were returned. In 2014, 54% of the responding GPs used the CRP test. These GPs tend to use fewer chest X-rays (<i>p</i> = 0.07). GPs overestimate the chance that pneumonia will be present on the radiograph. Seventy percent consider the possibility of abnormalities other than pneumonia as the main reason for requesting a chest X-ray. <b>Conclusion:</b> In patients with an acute lower respiratory tract infection, GPs report that CRP results affect their behaviour regarding the request of a chest X-ray in patients with lower respiratory tract infection and therefore research is needed to substantiate the use of these diagnostic tools for this purpose.