cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28541126.v2
title: Artificial Neural Network Model for Predicting the Viscosity of Crosslinked Polyacrylamide and Polyethylenimine Polymer Gel for Oilfield Water Control

description: This study addresses a gap in applying machine learning for polymer gel viscosity prediction in improved oil recovery (IOR). A baseline ANN model was developed using 418 experimental datasets from crosslinked PAM/PEI gels under varied conditions, achieving excellent predictive accuracy and demonstrating potential for enhanced oilfield water control.<b>Repository Description</b>This repository contains all the underlying data and materials necessary to reproduce the study "Development of an Artificial Neural Network Model for Predicting the Viscosity of Crosslinked Polyacrylamide and Polyethylenimine Polymer Gel for Oilfield Water Control." The work was performed using MATLAB 2022b, and the model was developed with MATLAB’s Neural Network Toolbox.<b>Included Materials:</b><br><b>Raw Experimental Data</b>:All 418 experimental datasets are provided. These datasets include measurements of polymer gel viscosity under varying conditions—shear rate, salinity, ammonium chloride concentration, and silica nanoparticle content.<b>Model Input Data and Parameters:</b>The repository contains the complete variable dataset used as input for the ANN model. This includes detailed descriptions of the input variables, along with the corresponding raw data.<b>Model Architecture and Replication Details:</b>The ANN model is a two-layer feed-forward neural network featuring a single hidden layer with 10 neurons. The model was trained using the Levenberg-Marquardt algorithm. The hidden layer uses the tangent sigmoid (Tansig) activation function, and the output layer employs a linear (Purelin) activation function. Detailed model parameters, including neuron weights and biases, are included to facilitate replication.<b>Software and Commands:</b>MATLAB 2022b was used to develop the model. The “nftool” command from MATLAB’s Neural Network Toolbox was specifically employed to access the Neural Net Fitting app and build the model. All commands, settings, and parameters are documented within the repository.<br>No data involving human participants were collected, and all experimental data adhered to the relevant institutional and legal standards.<br>This comprehensive dataset and detailed methodology ensure that other researchers can fully interpret, replicate, and build upon this work in the field of improved oil recovery
DOI: 10.6084/m9.figshare.686047.v1
title: Data for the paper: Locally Weighted Least Squares Temporal Difference Learning

description: These data are associated with the evaluations presented in the paper: Locally Weighted Least Squares Temporal Difference Learning, Matthew Howard and Yoshihiko Nakamura, European Symposium on Artificial Neural Networks, 2013. The data are generated through numerical simulation, according to the descriptions in Section 5 of the paper, and are provided here for the purpose of reproduction studies.
DOI: 10.3535/csk-866-tyg
title: Gastropoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/prr-rk0-6nm
title: Gastropoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/rfhrm6wgz2
title: Supplementary Material for "Targeting the Opioid Pathway for the Treatment of Chronic Kidney Disease Associated Pruritus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials"

description: Supplementary Material for "Targeting the Opioid Pathway for the Treatment of Chronic Kidney Disease Associated Pruritus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials".
DOI: 10.3535/4jq-s0f-36a
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/wxk-y5s-gr0
title: Platycladus Spach

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/279-5j4-5lc
title: Gastropoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/5ca-syr-pqd
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/4eh-nkf-m9n
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/w32-757-n0y
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.1276462.v1
title: Dimension-Reduced Modeling of Spatio-Temporal Processes

description: The field of spatial and spatio-temporal statistics is increasingly faced with the challenge of very large datasets. The classical approach to spatial and spatio-temporal modeling is very computationally demanding when datasets are large, which has led to interest in methods that use dimension-reduction techniques. In this article, we focus on modeling of two spatio-temporal processes where the primary goal is to predict one process from the other and where datasets for both processes are large. We outline a general dimension-reduced Bayesian hierarchical modeling approach where spatial structures of both processes are modeled in terms of a low number of basis vectors, hence reducing the spatial dimension of the problem. Temporal evolution of the processes and their dependence is then modeled through the coefficients of the basis vectors. We present a new method of obtaining data-dependent basis vectors, which is geared toward the goal of predicting one process from the other. We apply these methods to a statistical downscaling example, where surface temperatures on a coarse grid over Antarctica are downscaled onto a finer grid. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.1401935.v3
title: Supporting Information( Immunogenicity study of CSBV structural proteins)

description: S1 Fig.The date of Codon optimization, expression in Escherichia coli, and immunogenicity of recombinant Chinese sacbrood virus (CSBV) structural proteins S2 Table The data of specific IgG antibodies in serum of t he immunized mice. (xls) S3 Table The data of SI values in the Lymphocyte prolifera tion. (xls)
DOI: 10.3535/bf3-r8x-tfs
title: Dioptase

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.11506380.v1
title: Datasets: Carbon Flux Variability from a Relatively Simple Ecosystem Model with Assimilated Data is Consistent with Terrestrial Biosphere Model Estimates

description: The data are CARDAMOM outputs of Net Biosphere Exchange and Gross Primary Productivity, along with correlations between these outputs and models from the CMIP5 and TRENDY Terrestrial Biosphere Model archives. Data are published in conjunction with a journal article - Carbon Flux Variability from a Relatively Simple Ecosystem Model with Assimilated Data is Consistent with Terrestrial Biosphere Model Estimates
DOI: 10.6084/m9.figshare.9730157.v1
title: Hydrogeochemical data of the North Coast of Mombasa, Kenya in March, June and September 2016

description: These data are an essential component of an African Union funded research project at the Pan African University-Institute for Basic Sciences Technology and Innovation hosted by the Jomo Kenyatta University of Agriculture & Technology, Kenya. Project Title: Groundwater flow and quality of coastal aquifers: Case study of Mombasa North Coast. The data include; * The GPS coordinate location of wells/boreholes * The Height of groundwater above mean sea level * Water quality parameters
DOI: 10.3535/386-6eb-j7z
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ary-j4r-1g0
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/gr0-nbq-8k0
title: †Dalmanella Hall & Clarke, 1892

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/mv3-ah5-2h6
title: †Obolus Eichwald, 1829

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/rj1-s05-yf7
title: †Obolus Eichwald, 1829

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.26549395.v1
title: Supplementary Data 7.xlsx

description: The temporal potential temperature (<i>T</i><sub>p</sub>)<sub> </sub>of low-Ti lunar basalts, meteorites and Chang’e-5 basalts.
DOI: 10.3535/sw3-z3h-y8l
title: †Obolus Eichwald, 1829

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.20436438.v1
title: Dataset of motor adaptation in motions with four degrees of freedom

description: This data includes human motion data with four degrees of freedom while adapting to applied perturbations. The perturbation was applied to visual feedback information.
DOI: 10.3535/2s6-5lk-mx1
title: Sophora L.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/eg9-85b-5fp
title: Sophora L.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/j53-cmw-8vd
title: Gastropoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/svg-b0z-xgj
title: Platycladus Spach

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.19739260.v2
title: Zol M1_data1.xlsxAn assessment of the cost-effectiveness and impact of introducing a laboratory electronic gate keeping system at an academic hospital in Mthatha, Eastern Cape, South Africa

description: The data is comprised of the number of tests that were ordered for medical laboratory analysis, as well as the number of tests that were rejected due to the effect of electronic gate keeping. The data also includes costs savings that were obtained as a result of the rejected tests by EGK.
DOI: 10.6084/m9.figshare.26942920.v1
title: Clinical data of patients with invasive pulmonary aspergillosis and non-invasive pulmonary aspergillosis.

description: Objective: To evaluate the diagnostic value of metagenomic next-generation sequencing (mNGS) and galactomannan (GM) test in invasive pulmonary aspergillosis (IPA) and to compare mNGS with other diagnostic approaches, including serum/ bronchoalveolar lavage fluid (BALF)-GM and conventional microbiological tests (CMTs) covering sputum smear and culture, BALF fungal culture and bronchial brushings. Materials and Methods: Totally, 271 patients were finally enrolled in this retrospective study including 154 patients with IPA (120 with mNGS testing) and 117 patients with non-IPA pulmonary infections (all with mNGS testing) treated at Henan Provincial People's Hospital from June 2021 to February 2024. The diagnostic performance of mNGS was compared with conventional diagnostic methods such as serum GM, BALF-GM, sputum smear microscopy, sputum culture, bronchial brushings, and BALF culture. Results: The proportion of patients with underlying diseases in the IPA group was significantly higher than that in the non-IPA group (P&lt;0.05). Compared with conventional diagnostic methods for IPA, mNGS was demonstrated higher diagnostic efficacy, with a sensitivity of 92.5% and a specificity of 94.0%. The area under the receiver operating characteristic (ROC) curve for BALF-GM in diagnosing IPA was 0.8, with an optimal cutoff value of 0.5, sensitivity of 68.2%, and specificity of 82.1%. The combination of mNGS and BALF-GM testing further improved diagnostic performance, yielding a sensitivity of 96.7% and a specificity of 78.6%. Conclusion: The mNGS testing exhibits excellent diagnostic efficacy for IPA, and the combination with BALF-GM testing further enhances sensitivity. This approach has significant potential for early diagnosis and targeted treatment of IPA.
DOI: 10.6084/m9.figshare.c.3834862_d3.v1
title: Additional file 12: Table S11. of Oncogenic long noncoding RNA landscape in breast cancer

description: DNA methylation and transcription factors regulation for lncRNAs. (XLS 27Â kb)
DOI: 10.3535/9mt-r0l-kwh
title: Minerals

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/scn-gh9-hjf
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.28665347.v1
title: Artificial Intelligence Impact on Federal Civil Service Roles (2018-2023)

description: Data and Dofile for the Artificial Intelligence Impact on Federal Civil Service Roles (2018-2023).
DOI: 10.3535/j8q-0c6-kgs
title: Gastropoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/s9e-vt9-1h8
title: †Subulites Emmons, 1842

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.4584874.v1
title: <i>In situ</i> LA-ICP-MS <sup>40</sup>Ar/<sup>39</sup>Ar isotopic age determination results. Using palaeomagnetic and isotopic data to investigate late to post-Caledonian tectonothermal processes within the Western Terrane of Svalbard

description: Supplementary data 4 - <i>in situ</i> LA-ICP-MS <sup>40</sup>Ar/<sup>39</sup>Ar isotopic age determination results
DOI: 10.3535/e2b-3vv-w8h
title: †Obolus Eichwald, 1829

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/k3y-rne-cxf
title: †Obolus Eichwald, 1829

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.11956482.v1
title: Simulations of the formation of solar filament fine structures and their counter-streaming flows

description: fig1.psd: The original image file for Figure 1;fig2.sav: The original data for plotting Figure 2;fig3.sav: The original data for plotting Figure 3;fig4.sav: The original data for plotting Figure 4;fig5.sav: The original data for plotting Figure 5;fig6.sav: The original data for plotting Figure 6.Except fig1.pdf which is opened with Photoshop, all other files can be read with "restore filename" command in the Interactive Data Language (IDL) environment.
DOI: 10.3535/7dc-6ae-j3k
title: †Obolus Eichwald, 1829

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/rx6-wpj-2vf
title: †Obolus Eichwald, 1829

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/69l-xml-v7h
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qve-6w1-ltl
title: †Obolus Eichwald, 1829

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.22199386.v1
title: Adaptive evolution of the Spike protein in coronaviruses

description: <br> Coronaviruses are single-stranded, positive-sense RNA viruses that can infect many mammal and avian species. The Spike (S) protein of coronavirus binds to a receptor on the host cell surface to promote viral entry. The interactions between the S proteins of coronaviruses and receptors of host cells are extraordinarily complex, with coronaviruses from different genera could recognize the same receptor and coronaviruses from the same genus could bind distinct receptors. As the COVID-19 pandemic has developed, many changes in the S protein were under positive selection by altering the receptor binding affinity, reducing antibody neutralization activities, or affecting T-cell responses. It will be intriguing to determine whether the selection pressure on the <em>S</em> gene differs between SARS-CoV-2 and other coronaviruses due to the host shift from nonhuman animals to humans. Here, we show that the <em>S</em> gene, particularly the S1 region, has experienced positive selection in SARS-CoV-2 and other coronaviruses. Although the S1-NTD domain exhibits signals of positive selection in the pairwise comparisons in all four coronavirus genera, positive selection was primarily detected in the S1-CTD domain (the receptor-binding domain, RBD) in the ongoing evolution of SARS-CoV-2, possibly owing to the change in host settings and the widespread natural infection and SARS-CoV-2 vaccination in humans. Here, we provided the sequence ID used in our manuscript, for reproducibility purpose.
DOI: 10.3535/l3c-em1-fe6
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/vfz-jyl-mm6
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/4er-6x6-3rd
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/azg-y7f-r8g
title: Minerals

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/gjy-4b6-jz3
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/dwp-8ka-gxa
title: raudmeteoriit

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/r35-0qk-nz4
title: rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/9kh-05p-f5t
title: Minerals

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.14883285.v2
title: 5G Millimeter-Wave Beamforming System using Substrate Integrated Waveguide

description: The data for the design of 5G Millimeter-Wave Beamforming System using Substrate Integrated Waveguide is listed.
DOI: 10.3535/9dc-f4e-6n4
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/e0f-fa4-0f1
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.26013130.v2
title: Supplement to: Emerging technologies and research ethics: Developing editorial policy using a scoping review and reference panel.

description: Data supplement for the manuscript: Emerging technologies and research ethics: Developing editorial policy using a scoping review and reference panel.Knight, S., Viberg, O., Mavrikis, M., Kovanović, V., Khosravi, H., Ferguson, R., Corrin, L., Thompson, K., Major, L., Lodge, J., Hennessy, S., & Cukurova, M. (2024). Emerging technologies and research ethics: Developing editorial policy using a scoping review and reference panel. <i>PLOS ONE</i>. https://doi.org/10.1371/journal.pone.0309715<b>Abstract</b><i>Background: </i>Emerging technologies and societal changes create new ethical concerns and greater need for cross-disciplinary and –stakeholder communication on navigating ethics in research. Scholarly articles are the primary mode of communication for researchers, however there are concerns regarding the expression of research ethics in these outputs. If not in these outputs, where should researchers and stakeholders learn about the ethical considerations of research?<i>Objectives: </i>Drawing on a scoping review, analysis of policy in a specific disciplinary context (learning and technology), and reference group discussion, we address concerns regarding research involving AI through developing novel policy that aims to foster learning through the expression of ethical concepts in research.<i>Approach: </i>This paper develops new editorial policy for expression of research ethics in scholarly outputs across social sciences disciplines. These guidelines, aimed at authors, reviewers, and editors, are underpinned by:1) a cross-disciplinary scoping review of existing policy and adherence to these policies;2) a review of emerging policies, and policies in a specific discipline (learning and technology); and,3) a collective drafting process undertaken by a reference group of journal editors (the authors of this paper).<i>Results: </i>Analysis arising from the scoping review indicates gaps in policy across a wide range of journals (54% have no statement regarding reporting of research ethics), and adherence (51% of papers reviewed did not refer to ethics considerations). Analysis of emerging and discipline-specific policies highlights gaps.<i>Conclusion: </i>Our collective policy development process develops novel materials suitable for cross-disciplinary transfer, to address specific issues of research involving AI, and broader challenges of emerging technologies.
DOI: 10.3535/j9k-9gn-xa3
title: Dolomite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/zv8-l28-ls4
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.6809663.v1
title: Dataset S3. Eutherian NTCP and GPC5 codon alignments

description: Eutherian NTCP and GPC5 codon alignments. See Methods in the manuscript Jacquet et al. for details.<br>
DOI: 10.3535/0ch-ll1-e1x
title: Minerals

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/kkf-aw1-q8n
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.25904482.v1
title: Urban road surface condition sensing from crowd-sourced trajectories based on the detecting and clustering framework

description: The desensitized dataset related to Urban road surface condition sensing from crowd-sourced trajectories based on the detecting and clustering framework.
DOI: 10.3535/n7x-kld-gkx
title: igneous rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/vj5-5r3-jqt
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/9gj-ane-74z
title: Calcite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/dvg-2gq-sea
title: Minerals

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/0ee-hn5-5t3
title: Minerals

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/gar-3w8-e8x
title: Zethus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.20813968.v1
title: vcf files

description: Input files to conduct genetic analyses
DOI: 10.6084/m9.figshare.27061255.v2
title: GWAS summary statistics for major depression (PGC MDD2025)

description: Genome-wide summary statistics of major depression from the Psychiatric Genomics Consortium (2025)<br>Meta-analysed summary statistics for:Multi-ancestries, excluding 23andMe [DIV]European-ancestries, excluding 23andMe [EUR]European ancestries, excluding 23andMe and UK Biobank [EUR]European ancestries, top 10k SNPs [EUR]Clinical/interview phenotypes [EUR]Electronic health record / register phenotypes [EUR]Questionnaire symptom phenotypes [EUR]Questionnaire symptom phenotypes, excluding UK Biobank [EUR]<br>
DOI: 10.3535/1me-xv2-ras
title: Calcite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.