cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16621930.v1
title: Supplementary Material for: Sublingual Microcirculatory Evaluation of Extracorporeal Hemoadsorption with CytoSorb® in Abdominal Sepsis: A Case Report

description: Cytokemia is associated with microcirculatory alterations often with persistent loss of coherence between the micro- and macrocirculation, linked to organ failure and poor outcome of septic patients. Addition of a hemoadsorbant filter to an extracorporeal circuit next to conventional treatment of septic shock results in the hematological clearance of cytokines, hypothetically leading to normalization of the microcirculation and thus organ perfusion. Bedside sublingual microcirculatory assessment using handheld vital microscopy allows real-time direct visualization of the microcirculation and its response to therapy. This is demonstrated in the present case report of an 83-year-old man admitted to our intensive care unit after surgical repair of a colonic perforation for fecal soiling after a low anterior resection for a rectum carcinoma, with leakage of bowel content at the resection site. The clinical course of this patient can be described as having undergone adequate surgical treatment taking away the source of the disease, followed by optimal support including antibiotic treatment in the ICU. However, during the course of his stay in the ICU, his condition deteriorated with symptoms consistent with septic shock. Our report shows that the addition of a hemoadsorbent (CytoSorb) to the continuous renal replacement therapy circuit was associated with an improvement in the condition of our severely ill patient with abdominal sepsis. Parallel to the clinical improvement of our patient, the functional parameters of the microcirculation also showed improvement suggesting that such a noninvasive real-time evaluation of the status of the microcirculation may be a sensitive diagnostic tool to monitor the effectiveness of hemoadsorbent therapy.
DOI: 10.6084/m9.figshare.28402511.v1
title: GeoTIFF of Seasonal <i>Bd </i>Occurrence for Presence Absence Model

description: GeoTIFF raster files of seasonal <i>Bd </i>suitability in Panama from 2005-2018 for the Presence Absence Model. Name formatting explanation:"s200501_DS": s = season, 2005 = year, 01 = sequence to allow for correct ordering when loaded, _DS = Dry Season (January - March).Other seasons: ERS (Early Rainy Season, April-July) and LRS (Late Rainy Season, August - December)
DOI: 10.6084/m9.figshare.3546834.v1
title: Appendix F. Full results for correlation and hotspot congruence analysis.

description: Full results for correlation and hotspot congruence analysis.
DOI: 10.17632/hfs83tpvm2
title: Turkish Sentence Dataset for Unsupervised Morphological Disambiguation

description: The dataset contains at most 500 unambiguous samples for distinct tag sequence of length 5 in morphological parses of the words in Turkish.
DOI: 10.17632/w49vp58wz5
title: Relevance of local dispersion on mixing enhancement in Engineering Injection and Extraction systems in porous media: Insights from laboratory bench-scale experiments and modeling

description: In this study, we performed laboratory bench-scale experiments mimicking an engineered injection extraction (EIE) system in an unconfined aquifer. We investigated flow dynamics, transport, mixing processes and the role of local dispersion in mixing enhancement. We performed five experiments: two base-case experiments for each grain size (Coarse-Base and Fine-Base) and three experiments under transient flow conditions (Coarse-A, Fine-A and Fine-B). 
The dataset includes:
1. The animation of the images taken every 30 seconds for the experiment Coarse-A 
2. The animation of the images taken every 30 seconds for the experiment Fine-A 
3. The animation of the images taken every 30 seconds for the experiment Fine-B
DOI: 10.6084/m9.figshare.19448219.v6
title: The China Plant Trait Database Version 2.0

description: Here we present version 2.0 of the China Plant Trait Database, which contains information on morphometric, physical, chemical, photosynthetic and hydraulic traits from 1529 unique species in 140 sites spanning a diversity of vegetation types. Version 2 has five improvements compared to the previous version: (1) new data from a 4-km elevation transect on the edge of Tibetan Plateau, including alpine vegetation types not sampled previously; (2) inclusion of traits related to hydraulic processes, including specific sapwood conductance, the area ratio of sapwood to leaf, wood density and leaf turgor loss point; (3) inclusion of information on soil properties to complement the existing data on climate and vegetation (4) assessments of the reliability of individual trait measurements; and (5) inclusion of standardized checklists and templates for systematical field sampling and measurements. See detailed descriptions here: Wang, H., Harrison, S.P., Li, M. <em>et al.</em> The China plant trait database version 2. <em>Sci Data</em> <strong>9</strong>, 769 (2022). https://doi.org/10.1038/s41597-022-01884-4<br>
DOI: 10.6084/m9.figshare.22047245.v2
title: The second part of the dataset HKDD_AMC36 of paper "Toward Next-Generation Signal Intelligence: A Hybrid Knowledge and Data-Driven Deep Learning Framework for Radio Signal Classification".

description: <strong>https://github.com/yexijoe/HKDD</strong> <br> <strong>@ARTICLE{10042021,</strong> <strong> author={Zheng, Shilian and Zhou, Xiaoyu and Zhang, Luxin and Qi, Peihan and Qiu, Kunfeng and Zhu, Jiawei and Yang, Xiaoniu},</strong> <strong> journal={IEEE Transactions on Cognitive Communications and Networking}, </strong> <strong> title={Toward Next-Generation Signal Intelligence: A Hybrid Knowledge and Data-Driven Deep Learning Framework for Radio Signal Classification}, </strong> <strong> year={2023},</strong> <strong> volume={},</strong> <strong> number={},</strong> <strong> pages={1-1},</strong> <strong> doi={10.1109/TCCN.2023.3243899}}</strong> <br> Here we publish the second part of the dataset HKDD_AMC36 used in the paper "<strong>Toward Next-Generation Signal Intelligence: A Hybrid Knowledge and Data-Driven Deep Learning Framework for Radio Signal Classification</strong>". Automatic modulation classification (AMC) can generally be divided into knowledge-based methods and data-driven methods. In this paper, we explore combining the knowledgebased method and data-driven technology to take full advantage of both and propose a hybrid knowledge and data-driven deep learning framework (HKDD) for AMC. To make the handcrafted features more discriminative, various traditional features are adopted, including instantaneous features, statistical features, and spectral features. In the HKDD framework, a feature fusion mechanism is proposed to integrate the features learned from the original signal with those processed by a fully connected network from the handcrafted features. Besides, an attention mechanism is implemented on the fused features to neglect immature features and highlight important features. To evaluate the performance of the proposed method, we construct two modulation classification datasets containing both traditional features and raw IQ data. Simulation results show that our proposed method has significant performance gain in both adequate-sample classification scenario and few-shot classification scenario.
DOI: 10.6084/m9.figshare.28378268.v1
title: FAN1-PCNA-DNA_39mics_GainRef-included

description: This is a minimum cryo-EM dataset used in the research of 'Structural and molecular basis of PCNA-activated FAN1 nuclease function in DNA repair'.
DOI: 10.6084/m9.figshare.3552243.v1
title: Data Paper. Data Paper

description: File List MCDB_communities.csv -- 7977 records, not including header row, ASCII text, comma-delimited. MCDB_references.csv -- 186 records, not including header row, ASCII text, comma-delimited. MCDB_sites.csv -- 1,000 records, not including header row, ASCII text, comma-delimited. MCDB_species.csv -- 700 records, not including header row, ASCII text, comma-delimited. MCDB_trapping.csv -- 1,169 records, not including header row, ASCII text, comma-delimited. Description Ecologists have long sought to understand the mechanisms underlying the assembly and structure of communities. Such understanding is relevant to both basic science and conservation-related issues. The macroecological approach to this problem involves asking scientific questions using a large number of communities in order to elucidate generalities in pattern and process. Such analyses are typically conducted using a substantial amount of data from a particular taxonomic group across a diversity of systems. Large community databases are available for a number of taxa, but no publicly available database exists for mammals. Given the logistical challenges of collecting such data de novo, compiling existing information from the literature provides the best avenue for acquiring the necessary data. Here, we provide a data set that includes species lists for 1000 mammal communities, excluding bats, with species-level abundances available for 940 of these communities. All communities found in the literature that included complete, site-specific sampling data, composed of species lists with or without associated abundances, were included in the data set. Most, but not all, sites are limited to species groups that are sampled using a single technique (e.g., small mammals sampled with Sherman traps). The data set consists of 7977 records from 1000 georeferenced sites encompassing a variety of habitats throughout the world, and it includes data on 660 mammal species with sizes ranging from 2 g to &gt;500 kg. <i>Key words: abundance; community; community assembly; community structure; composition; mammals</i>.
DOI: 10.17632/y63frd6pmf
title: Multimodal Hinglish Tweet Dataset for Deep Pragmatic Analysis

description: This dataset was meticulously curated to encapsulate tweets that vividly express raw emotions, sentiments, feelings, and textual gestures related to various situations of conflict. This includes, but is not limited to, wars, crises, civil unrest, and world wars I, II, III, etc. The fundamental objective of creating this dataset is to enable the development of digital applications capable of discerning the genuine emotional pulse of digitally empowered citizens. In essence, these tools aim to empower both the general public and government authorities with real-time insights into public sentiment, enhancing their understanding and responsiveness to critical situations.
DOI: 10.6084/m9.figshare.14806449.v1
title: Genomic relationships-based genetic parameters and prospects of genomic selection for growth and wood quality traits in Eucalyptus benthamii - SNPdata

description: <b>Genotype data for: Paludeto et al. 2021.</b> Genomic relationships-based genetic parameters and prospects of genomic selection for growth and wood quality traits in Eucalyptus benthamii <br><b>Paludeto_et_al_2021_SNPdata.txt</b>Raw genotype data for 60,728 single nucleotide polymorphisms (SNPs) for 671 sampled trees. Genotypes are identified as AA (homozygoys for the major frequency allele), CC and GG (homozygous for the minor frequency allele), AC and AG (heterozygous). SNP marker identification contains chromosome number and bp position (ex: EuBR10s3879028A4B1C1D40E1, SNP on chromosome 10 at position 3,879,028 bp).<br>Remember to apply quality control before analysis.<br>
DOI: 10.6084/m9.figshare.16556715.v1
title: manual_sequence.tsv

description: Nanobody sequences from manual curation
DOI: 10.6084/m9.figshare.3520838.v1
title: Appendix A. Tables containing (1) cost values used to develop resistance surfaces, (2) additional results from microclimatic exposure experiments, and (3) statistical results of choice experiments. Figures showing (1) travel times from substrate resistance experiments with naïve observers, (2) the relationship between percentage overlap of species corridors and forest cover, and (3) representations of the three connectivity models.

description: Tables containing (1) cost values used to develop resistance surfaces, (2) additional results from microclimatic exposure experiments, and (3) statistical results of choice experiments. Figures showing (1) travel times from substrate resistance experiments with naïve observers, (2) the relationship between percentage overlap of species corridors and forest cover, and (3) representations of the three connectivity models.
DOI: 10.6084/m9.figshare.8980325.v1
title: Recommended model feature importance on binary predictive tasks

description: These tables contain feature importance rankings for the coefficients of the recommended model (L2 regression). Specifically, there is one table for each gene set. Each table has 21 columns corresponding to the 21 different binary predictive tasks. The rows of each table are the ensembl IDs of the genes in the gene set. The values are the mean (across five CV folds) normalized ranking of that gene's coefficient in the recommended model on the corresponding task. <br>
DOI: 10.17632/gzpdjrr8hj
title: The structural landscape of Microprocessor Mediated processing of pri-let-7 miRNAs. Garg et al.

description: miRNA biogenesis is initiated upon cleavage of a primary miRNA (pri-miRNA) hairpin by the Microprocessor (MP), composed of the Drosha RNase III enzyme and its partner DGCR8. Multiple pri-miRNA sequence motifs affect MP recognition, fidelity, and efficiency. Here, we performed cryo-EM and biochemical studies of several let-7 family pri-miRNAs in complex with human MP. We show that MP has the structural plasticity to accommodate a range of pri-miRNAs. These structures revealed key features of the 5’ UG sequence motif, more comprehensively represented as the “fUN” motif. Our analysis explains how cleavage of class-II pri-let-7 members harboring a bulged nucleotide generates a noncanonical precursor with a 1-nt 3’ overhang. Finally, the MP-SRSF3-pri-let-7f1 structure reveals how SRSF3 contributes to MP fidelity by interacting with the CNNC-motif and Drosha’s PAZ-like domain. Overall, this study sheds light on the mechanisms for flexible recognition, accurate cleavage, and regulated processing of different pri-miRNAs by MP.
DOI: 10.17632/nyhfxz8tt9
title: Secukinumab clears “mild-to-moderate” psoriasis: a randomized, placebo-controlled exploratory clinical trial

description: Background: All psoriasis biologics are tested in randomized clinical trials (RCTs) exclusively for severe psoriasis and not indicated for “mild-to-moderate” psoriasis. 
Objective: To demonstrate the efficacy of IL-17A antagonist secukinumab for “mild-to-moderate” psoriasis.  
Methods: A randomized, double-blinded, placebo-controlled exploratory phase II clinical trial to test secukinumab for “mild-to-moderate” psoriasis reporting histologic and gene expression modifications observed in psoriasis skin (NCT03131570). The primary outcome measure was the proportion of subjects who have ≥75% reduction in Psoriasis Area-and-Severity Index (PASI75) at week 12. Skin biopsies were analyzed by immunohistochemistry and multiple RT-PCR assays.
Results: Secukinumab led to greater rates of PASI75 response (72.7%) at week 12 compared with placebo (0%) (P < 0.005). 100% of mild-to-moderate psoriasis patients achieved PASI75 16 weeks after the initiation of injections. 89% of mild-to-moderate psoriasis patients achieved ≥90% reduction in PASI (PASI90) 20 weeks after the initiation of injections. Systemic secukinumab injection reversed keratinocyte hyperproliferation, and decreased T-cell and dendritic cell numbers and pathogenic psoriatic gene expressions (P < 0.005). 
Limitations: The study was exploratory with limited sample size.
Conclusion: IL17A inhibitors are effective for “mild-to-moderate” psoriasis.
DOI: 10.17632/yt7jbv9nts
title: Data for: Deterministic Generative Adversarial Imitation Learning

description: This data set is the experimental data for Deterministic Generative Adversarial Imitation Learning, which includes the cumulative rewards of the agent exploration process and several groups of motion trajectories.
DOI: 10.6084/m9.figshare.10250945.v1
title: A microRNA-mRNA regulatory network explains the landscape of the de novo cytogenetically normal acute myeloid leukaemia

description: The association between dysregulated microRNAs (miRNAs) and cytogenetically normal acute myeloid leukaemia (CN-AML) is well reported. However, our understanding on the regulatory role of miRNAs in CN-AML pathway is still poor. The current study integrated both miRNA and mRNA profiles to explore novel miRNA-mRNA interactions that affect the regulatory patterns in <i>de novo</i> CN-AML. Twenty-four (24) newly diagnosed CN-AML patients were matched on age, gender and ethnicity to the controls with a 1:1 ratio. Blood samples collected from patients were used to extract total RNA. The total RNA is used to quantify miRNA and mRNA profiles using the multiplexed nCounter platform. Significant miRNA and mRNA expressions were identified using the following criteria; P-value &lt;0.05 with fold change more than 1.5 or less than 1.5 (FC&gt;1.5 or FC A correlation matrix was set up to correlate miRNA and mRNA data. We were only interested in negative correlation as miRNA plays inhibitory role towards mRNA. Correlation deemed meaningful at r<br>
DOI: 10.6084/m9.figshare.12214391.v1
title: Data from: Effects of nonnative species on the stability of riverine fish communities

description: The FishData.csv table provides riverine fish community abundance data associated with the article Eros et al. (2020) Effects of nonnative species on the stability of riverine fish communities. Ecography 43: 1-11. doi: 10.1111/ecog.04985. Metadata are described in Read_me.txt file.<br>
DOI: 10.6084/m9.figshare.12461756.v1
title: Marchantia inflexa DhT transcriptome

description: Assembled transcriptome, coding sequences, and translated peptide sequences for Marchantia inflexa are provided. Sequence data were generated from 6 distinct M. inflexa genotypes sampled at 5 timepoints throughout a dehydration - rehydration timecourse. Methodological details are described in Marks et al. 2020 (see reference below).
DOI: 10.6084/m9.figshare.21313125.v2
title: Fatigue Study Dataset 2022

description: All data points used in the study and the results of the correlation calculations are included in the two Microsoft Excel files.
DOI: 10.6084/m9.figshare.24759996.v2
title: Datasets - Geophysics for the Environment in Indonesia

description: This datasets is related to a paper with the same title "<b>Geophysics for the Environment in Indonesia</b>" that was submitted to F1000R Journal.Files:Scopus-Geophys-Indo-3.csv: bibliometric dataset from Scopus database with the keywords: "geophysics" AND "Indonesia".Scopus-Geophys-Indo-Enviro.csv: bibliometric dataset from Scopus database with the keywords: "geophysics" AND "Indonesia" AND "environment".scopus-gephys-indo.png: visualization for dataset no 1 with Vosviewer.scopus-gephys-indo-enviro.png: visualization for dataset no 2 with Vosviewer.<b>Abstract</b>This paper explores the hidden potential of geophysics for the environment, focusing on Indonesia. Geophysics plays a crucial role in understanding the Earth's physical characteristics and addressing environmental challenges. It is particularly relevant in water-related environmental problems, such as groundwater contamination and infiltration monitoring. Geophysics is also used to detect metals in fertile soils and plants, providing insights into agricultural practices and potential health risks. However, applying geophysics in urban areas poses challenges due to physical obstructions, cultural noise, limited workspace, permits, and safety concerns.<br><br>This article emphasizes the integration of geophysics with environmental studies, the need for further research on water-related environmental problems and metal detection, and the development of techniques tailored for urban environments. It suggests focusing on understanding the specific environmental challenges in Indonesia and leveraging advancements in technology for more accurate and efficient geophysical investigations.<br><br>In the Indonesian context, geophysics has diverse applications, including energy exploration, seismology, and oceanography. However, it has not been properly utilized in the field of environmental studies, particularly in urban areas.
DOI: 10.6084/m9.figshare.6462338.v5
title: Data of Lake Gonghai

description: Data of climate proxies from Lake Gonghai since last deglaciation to 7 ka BP. Including pollen-based precipitation reconstruction; % tree pollen; % herb pollen; organic matter content; magnetic susceptibility; mean grain size; carbonate content. (Original reference: Chen, F. H., Xu, Q. H., Chen, J. H., Birks, H. J., Liu, J. B., Zhang, S. R., et al. (2015). East Asian summer monsoon precipitation variability since the last deglaciation. <i>Scientific Reports</i>, 5, 11186.)
DOI: 10.17632/hw4j2k8xt3
title: Skin rash composition after checkpoint inhibitor therapy varies by therapeutic regimen 

description: Patient skin rash and control cell counts.
DOI: 10.6084/m9.figshare.12917882.v1
title: Trading Signatures: investor attention allocation in stock markets

description: Anonymised data sufficient to reproduce results in article "Trading signatures: investor attention allocation in stock markets" (https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3687759).<br>open_code.py - produces the figures exactly as in the article.<br>signatures_open.csv - contains the trading signaturesportfolios_open.csv - contains anonymised information about the securities in the signatures<br>Each row in both files contain information about the sector of the investor, anonymised investor id, calendar year when the signature was estimated. In signatures_open.csv, the remaining rows indicate, what fraction of all transactions executed in that calendar year were executed with nth security. In portfolios_open.csv, the remaining rows indicate which security was the nth most actively traded security in that year.<br>Due to sensitivity of the data, investor id's in signatures_open.csv and portfolios_open.csv are anonymised independently. It is not possible to match investor signatures and their traded security compositions, however, one can keep track of individual investors signature changes.<br>effort_change.csv - contains information about changes in investor signatures, i.e., change in the length and entropy of the signature, as well as average and total trading intensities.<br>When using this data set, please cite this data source and the original article.