cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kcjdyvjnfk
title: Data for "CFD Simulations of Multiphase Flows: Interaction of Miscible Liquids with Different Temperatures"

description: A new OpenFOAM® based solver was developed for simulating multiphase fluid flow, consisting of two-miscible liquid phases with different temperatures and densities in a free-surface condition. The solver was named interMixingTemperatureFoam and was developed by programming the energy equation in terms of the temperature field on the preexisting OpenFOAM® interMixingFoam native solver. Following the solvers’ name convention in OpenFOAM®, the solver was named interMixingTemperatureFoam, where “interMixing” stands for the ability to solve the interaction between 3 incompressible fluids, two of which are miscible, and “Temperature” stands for the implementation of the energy equation in terms of the temperature field. Turbulence models, mesh generation schemes, and other generic utilities are available as part of the OpenFOAM® toolbox for case setting and running. This data set contains the required files to implement interMixingTemperatureFoam in OpenFOAM® v. 4.0. For different OpenFOAM® versions, the user can use this data set as guidance. A folder with an example of a case set is also included. This Data set is associated with the MDPI Water paper "CFD Simulations of Multiphase Flows: Interaction of Miscible Liquids with Different Temperatures".
DOI: 10.6084/m9.figshare.21916629.v1
title: 4. Differential expression analysis results

description: DESeq2 differential expression analysis results - comparisons shown in the file name.
DOI: 10.6084/m9.figshare.28532357.v3
title: CFOSAT_SWIM_tracking

description: This is the dataset supporting the manuscript: Propagation and Dissipation of Southern Ocean Swells: A CFOSAT SWIM-Based Analysis. Results of swell track from NDBC to SWIM together with results of swell trajectories for dissipation calculation are uploaded. S00 to S04 corresponds to 4 steps in mythology. S_calcu is used for dissipation and attenuation calculation. It should be changed when extract the spectral width. S_fig7_8 is used for fig7 and fig8 after the calculation.
DOI: 10.6084/m9.figshare.28588436.v4
title: Moult dataset New Zealand endemic passerines

description: Moult patterns, episodes, and final moult phenotypes of 17 extant native passerines of mainland NZ. Also includes breeding traits and habitats
DOI: 10.6084/m9.figshare.7830527.v1
title: Supplementary Material for: Distinctive and Pervasive Alterations of Functional Brain Networks in Cerebral Small Vessel Disease with and without Cognitive Impairment

description: <b><i>Objective:</i></b> To explore the within- and between-network patterns of the default mode network (DMN), the frontoparietal control network (FPCN), and the dorsal attention network (DAN) in cerebral small vessel disease (CSVD) with and without cognitive impairment (CI). <b><i>Methods:</i></b> Twenty CSVD with CI subjects, 21 CSVD without CI subjects, and 25 healthy elderly controls were recruited. The within- and between-network patterns of the networks were identified based on resting-state functional magnetic resonance imaging data. <b><i>Results:</i></b> Compared with the control group, both the CSVD with CI group and the CSVD without CI group displayed decreased within-network function of the DMN and lower negative connectivity between the DMN and other networks (i.e., DMN and DAN, DMN and FPCN), whereas the CSVD with CI group additionally showed within- and between-network alterations of the FPCN (i.e., increased within-network function of the FPCN and lower negative connectivity between the FPCN and the DMN). Furthermore, these alterations of the FPCN were correlated with the cognitive function of CSVD subjects. Interestingly, the between-network connectivity of the FPCN and the DMN was negatively correlated with deep white matter hyperintensities (DWMH) volume in CSVD subjects. <b><i>Conclusion:</i></b> These findings suggest that cognitive alterations of CSVD subjects may be mainly regulated by the FPCN that correlates with DWMH burden, and shed light on the investigation of surrogate markers of CSVD.
DOI: 10.23645/epacomptox.7525199.v2
title: CompTox Chemicals Dashboard Metadata Files for Integration with MetFrag

description: The integration of metadata files from the CompTox Chemicals Dashboard with the online version of the MetFrag <i>in silico</i> fragmenter has previously been discussed in the paper ““MS-Ready” structures for non-targeted high-resolution mass spectrometry screening studies” by McEachran <i>et al. </i>(link to https://doi.org/10.1186/s13321-018-0299-2). For local installations of MetFrag we have provided here downloadable versions of these metadata files.
DOI: 10.6084/m9.figshare.19643355.v1
title: Derville et al 2022 model data: effort segments, env data, and whale observations

description: Dataset used in models for Derville et al. 2022 Frontiers in Marine Science, "Seasonal, annual, and decadal distribution of three rorqual whale species relative to dynamic ocean conditions off Oregon, USA" <br> Abstract: Whale populations recovering from historical whaling are particularly vulnerable to incidental mortality and disturbance caused by growing ocean industrialization. Several distinct populations of rorqual whales (including humpback, blue, and fin whales) migrate and feed off the coast of Oregon, USA where spatial overlap with human activities are on the rise. Effective mitigation of conflicts requires better foundational understanding of spatial and temporal habitat use patterns to inform conservation management. Based on a year-round, multi-platform distance sampling dataset (2016-2021, 177 survey days, 754 groups observed), this study generated density models to describe and predict seasonal distribution of rorqual whales in Oregon. Phenology analysis of sightings revealed a peak of humpback whale and blue whale density over the Oregon continental shelf in August and September respectively, and higher fin whale density in the winter (December). Additionally, we compared rorqual sighting rates across three decades of survey effort (since 1989) and demonstrate that rorqual whales are strikingly more prevalent in the current dataset, including distinct increases of blue and fin whales. Finally, density surface models relating whale densities to static and dynamic environmental variables acquired from data-assimilative ocean models revealed that summer and spring rorqual distribution were influenced by dynamic oceanographic features indicative of active upwelling and frontal zones (respectively 27 % and 40 % deviance explained). On the continental shelf, blue whales were predicted to occur closer to shore than humpback whales and in the more southern waters off Oregon. Summer and spring rorqual models, and humpback whale models, showed predictive performance suitable for management purposes, assessed through internal cross-validation and comparison to an external dataset (388 groups observed). Indeed, monthly hotspots of high predicted rorqual whale density across multiple years were validated by independent sightings (80 % overlap in the summer model). These predictive models lay a robust basis for fine-scale dynamic spatial management to reduce impacts of human activities on endangered populations of rorqual whales in Oregon.
DOI: 10.17632/46j8wrc7p7
title: Health and Sleep relation 2024

description: This dataset explores the relationship between sleep patterns and overall health. It includes detailed information on individual sleep habits, health metrics, and lifestyle factors, enabling analysis of how sleep quality and duration impact physical and mental well-being. The dataset is designed to support research on sleep hygiene, chronic health conditions, mental health, and lifestyle influences on sleep.
DOI: 10.17632/m4zthdz8tf
title: MyNutriCapsule

description: Design files for HardwareX article "MyNutriCapsule"
DOI: 10.6084/m9.figshare.16822903.v2
title: Hepatocellular Carcinoma TCGA-LIHC Clinical Information CSV (TCGA_LIHC_Clinical_Input.csv)

description: <b><i>Background:</i></b> While the acquired risk factors of liver cancer in Asia are relatively well understood, the underlying genetic background of liver cancer in Asians has not been well established or correlated with clinical outcomes. <b><i>Objective:</i></b> To identify gene mutations linked with worse outcomes in Asian patients with hepatocellular carcinoma (HCC). <b><i>Methods:</i></b> A total of 347 Asian and Non-Asian patients with HCC were analyzed in this study. TCGA patient mutation and clinical data were downloaded through TCGAbiolinksGUI and analyzed using the Python NumPy, Matplotlib, seaborn, and SciPy libraries. Statistical significance was determined by Welch’s t-test (unequal variances t-test), with P-values &lt; 0.05 considered to be statistically significant. <b><i>Results:</i></b> Mutations in five genes (<i>TP53, TTN, OBSCN, MUC5B, CSMD1</i>) were statistically linked with increased mortality in Asians compared to non-Asians, four of which (<i>TTN, OBSCN, MUC5B, CSMD1</i>) were also more prevalent in the Asian population. Within the Asian cohort, two gene mutations (<i>TTN, HMCN1</i>) were statistically linked with worse outcomes. The <i>TP53</i> mutation predicts worse outcomes within the non-Asian cohort, but not within the Asian cohort. <b><i>Conclusions:</i></b> This study identified multiple genetic biomarkers that can aid in the recognition, surveillance, prognosis, and gene therapy of HCC.
DOI: 10.6084/m9.figshare.22691320.v2
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.27258126.v1
title: The impact of team quality, match outcomes, and match location on pitch-passing networksItem

description: This study investigated the impact of situational factors (team quality, match outcomes, and location) on pitch-passing networks in the English Premier League, analyzing 295,901 possessions across 380 matches using a 7 x 7 grid system. Degree, closeness, and betweenness centrality were calculated for each zone, with non-parametric Mann-Whitney U tests conducted to analyze differences under varying situational factors. Results showed strong teams had higher degree and closeness centrality, especially in midfield/attack (e.g., 5-3 block, p&lt;0.05, η²=0.311), while weak teams excelled in betweenness centrality on pitch sides (e.g., 5-1 block, p&lt;0.05, η²=0.073). Winning teams' degree centrality concentrated in attack (e.g., 7-2 block, p&lt;0.05, η²=0.060), with higher overall closeness centrality. Losing teams showed higher betweenness centrality in left attack (e.g., 5-1 block, p&lt;0.05, η²=0.012). Away teams displayed higher centrality in left defences (e.g., 2-1 block, p&lt;0.05, η²=0.012), and home teams in attack (e.g., 7-6 block, p&lt;0.05, η²=0.033). These findings highlight the significant influence of situational factors on passing networks across different pitch areas, offering insights into team dynamics and tactical variations.
DOI: 10.6084/m9.figshare.28831532.v2
title: Oxides abundance maps for lunar surface

description: Reflectance and major oxides for ten areas of lunar surface.
DOI: 10.6084/m9.figshare.29155229.v1
title: THE ARTIFICIAL INTELLIGENCE (AI) ERA: CHALLENGES AND OPPORTUNITIES FOR PAKISTAN AND THE GLOBAL SOUTH

description: This study will investigate why AI (Artificial Intelligence) is considered a threat to global security and how Global South states, focusing on the state of Pakistan in South Asia, can address the challenges and opportunities revealed by AI’s influence on global security, which has become a concern in international relations. AI. This research will utilize a qualitative methodology to examine the part and consequences of AI on global security and explore potential ways in which rising regional powers of the global south, among other states. Through the lens of the structural realism hypothesis, especially drawing on the work of essential structural realist scholars, this study will characterize and apply concepts such as hegemony, security dilemma, offensive and defensive realism, absolute relative gains, chain gaining, buck-passing, bandwagon and hedging to the background of emerging powers in international relations. The significance of this study lies in its potential to supply a future vision to meet upcoming challenges and opportunities. It will help policymakers to prepare for upcoming challenges and opportunities for the best national interest of the state of Pakistan among other global south nations in the era of AI. The research findings will provide the vision for a new approach (AI warfare), will be helpful for policymakers, and will fill gaps within the currently available literature.
DOI: 10.17632/b49j2ww9vy
title: Supplementary figures and tables for "Incidence and Profile of Skin Cancers in Patients Following Ultraviolet Phototherapy Without Psoralens- a retrospective cohort study"; JAAD

description: Supplementary figures and tables for publication titled: Incidence and Profile of Skin Cancers in Patients Following Ultraviolet Phototherapy Without Psoralens- a retrospective cohort study; JAAD
DOI: 10.6084/m9.figshare.11823192.v1
title: Data from "Habitat amount and distribution modify community dynamics under climate change"

description: File "CTI.csv":<br><br>Values of community temperature index for each monitoring site and each year, both abundance-weighted and using presence-only data.<br>Type: indicates whether the CTI value was weighted by abundance (Abundance) or not (Presence)<br>Country: indicates whether the site was located in Finland (FIN) or in the Netherlands (NL)<br>Site: site identification name<br>Year: year of monitoring from which CTI was calculated<br>CTI: value of the community-temperature index<br>---File "Frag_indices.csv":<br><br>Values of fragmentation indices for each monitoring site and 7 spatial scales.<br>Scale: spatial scale of the buffer around monitoring sites (in m)<br>Map_year: year of the reference habitat map (CORINE land cover maps)<br>Type: type of habitat considered for defining semi-natural habitat (SNH) and non-habitat (Generalist, Forest or Open)<br>Country: indicates whether the site was located in Finland (FIN) or in the Netherlands (NL)<br>Site: site identification name<br>x: Longitude of the site in ETRS89 coordinate system<br>y: Latitude of the site in ETRS89 coordinate system<br>Landcover: Dominant type of land cover around monitoring site (according to CORINE land cover codes)<br>gridCell50: ID of a 50km x 50km grid cell within which the site is lovated<br>CLUMPY: value of the aggregation of SNH<br>PLAND: proportion of SNH<br>---File "col_ext.csv":<br>Events of colonisation of warm adapted species and extinction of cold-adapted species.<br>Country: indicates whether the site was located in Finland (FIN) or in the Netherlands (NL)<br>Site: site identification name<br>Year: year of the event of colonisation or extinction<br>Species: species scientific name<br><br>Event: indicates whether this is a colonisation or extinction
DOI: 10.6084/m9.figshare.19929791.v3
title: C2LinearFading02.zip

description: Sample data from dumped system (fast fading signals)
DOI: 10.6084/m9.figshare.22337794.v3
title: Supplementary Material 3 - Code project in R (zipped) from Pests or prey? Micromammal species within an ancient anthropic environment at the Norse settlement site of Tuquoy (Westray, Orkney)

description: Zip file containing an R scripting project, used to derive correlation data and visualisations.
DOI: 10.6084/m9.figshare.3181492.v3
title: Semantic-Based Profile Management System: A Case Study on VIVO

description: The article describe about the semantic technologies and open source profile management called VIVO
DOI: 10.6084/m9.figshare.4785664.v1
title: Supplementary Material for: Clinical Trial of Vadadustat in Patients with Anemia Secondary to Stage 3 or 4 Chronic Kidney Disease

description: <b><i>Background:</i></b> Therapeutic options for the treatment of anemia secondary to chronic kidney disease (CKD) remain limited. Vadadustat (AKB-6548) is an oral hypoxia-inducible factor prolyl-hydroxylase domain (HIF-PHD) inhibitor that is being investigated for the treatment of anemia secondary to CKD. <b><i>Methods:</i></b> A phase 2a, multicenter, randomized, double-blind, placebo-controlled, dose-ranging trial (NCT01381094) was undertaken in adults with anemia secondary to CKD stage 3 or 4. Eligible subjects were evenly randomized to 5 groups: 240, 370, 500, or 630 mg of once-daily oral vadadustat or placebo for 6 weeks. All subjects received low-dose supplemental oral iron (50 mg daily). The primary endpoint was the mean absolute change in hemoglobin (Hb) from baseline to the end of treatment. Secondary endpoints included iron indices, safety, and tolerability. <b><i>Results:</i></b> Ninety-three subjects were randomized. Compared with placebo, vadadustat significantly increased Hb after 6 weeks in a dose-dependent manner (analysis of variance; <i>p </i>&lt; 0.0001). Vadadustat increased the total iron-binding capacity and decreased concentrations of ferritin and hepcidin. The proportion of subjects with at least 1 treatment-emergent adverse event was similar between vadadustat- and placebo-treated groups. No significant changes in blood pressure, vascular endothelial growth factor, C-reactive protein, or total cholesterol were observed. Limitations of this study included its small sample size and short treatment duration. <b><i>Conclusions:</i></b> Vadadustat increased Hb levels and improved biomarkers of iron mobilization and utilization in patients with anemia secondary to stage 3 or 4 CKD. Global multicenter, randomized phase 3 trials are ongoing in non-dialysis-dependent and dialysis-dependent patients.
DOI: 10.6084/m9.figshare.5554501.v1
title: Experiment CLA-SubjectB-151019-3States

description: Experiment in which subject performed 3 imageries of left and right hand motion and a passive state.
DOI: 10.6084/m9.figshare.5852961.v1
title: Data and code from Local extinctions of insular avifauna on the most remote inhabited island in the world

description: R script for Bayesian extinction date estimation following Solow & Beet 2014, and accompanying data files for Tristan Albatross, Tristan Finch, and Tristan Moorhen.
DOI: 10.6084/m9.figshare.6265526.v1
title: Patient16

description: Female Patient with 235 slice of pulmonary embolism CT-Angiography.
DOI: 10.6084/m9.figshare.21391449.v6
title: <i>Cannabis sativa</i> L. (Pink pepper) Annotation Data Set

description: This research is a project to breed medicinal hemp (<i>Cannabis sativa</i> L.) varieties in Korea and promote domestic industrialization of hemp.
DOI: 10.6084/m9.figshare.26336848.v1
title: Motivación hacia el aprendizaje de las matemáticas

description: Análisis de los niveles de motivación en estudiantes de secundaria hacia el aprendizaje de las matemáticas.
DOI: 10.6084/m9.figshare.28595891.v1
title: Short-Term Effects of Kinesio Taping® On Pain and Functionality In Patients with Cervical Spine Surgery.sav

description: This study aimed to assess the short-term impact of Kinesio Taping (KT) on pain and functional outcomes in patients recovering from cervical spine surgery.
DOI: 10.6084/m9.figshare.28823471.v1
title: Impact of the 2015 St. Patrick's Day Geomagnetic Storm on Ionospheric TEC Gradients and GNSS Positioning in China

description: This study made use of geomagnetic storm indices obtained from the OMNI dataset, provided by NASA’s Solar Wind Data Lab (https://cdaweb.gsfc.nasa.gov/cgi-bin/eval1.cgi). Raw GNSS observation data were kindly supplied by the Chinese Multi‑GNSS Network of China (CMONOC) and the International GNSS Service (IGS). CMONOC data can be requested by contacting the National Earthquake Infrastructure Service of China (email: cmonoc@seis.ac.cn) for registration approval; IGS data are publicly accessible at http://igs.org. All GNSS data processing and precise point positioning analyses were carried out using RTKLIB (http://www.rtklib.com/). We gratefully acknowledge NASA’s Solar Wind Data Lab, CMONOC, IGS, and the RTKLIB development team for making these invaluable resources openly available. As the original datasets and software tools are openly accessible, this dissertation presents only the derived results; for additional data, software settings, or code, please feel free to contact the author. Proper attribution is requested for any reuse of these data or tools.
DOI: 10.6084/m9.figshare.28827566.v1
title: Figure 20 Video

description: RRT-Connect algorithm flight in a online environmen
DOI: 10.6084/m9.figshare.3409927.v1
title: Data used to develop #Polar scores

description: We present a new approach to measuring political polarization, including a novel algorithm and open source Python code, which leverages Twitter content to produce measures of polarization for both users and hashtags. #Polar scores provide advantages over existing measures because they (1) can be calculated throughout the legislative cycle, (2) allow for easy differentiation between users with similar scores, (3) are chamber-agnostic, and (4) are a generic approach that can be applied beyond the U.S. Congress. #Polar scores leverage available information such as party labels, word frequency, and hashtags to create an accessible, straightforward algorithm for estimating polarity using text. (from the paper: Hemphill, L., Culotta, A., and Heston, M. (forthcoming) #Polar Scores: Measuring partisanship using social media content. <i>Journal of Information Technology & Politics</i>.)<br>The dataset contains one plain text TSV file with the following information for each of the 55,244 tweets used to develop #Polar scores : tweet_id, created_at, user_id, screen_name, tag, shortid, sex, party, state, chamber, name. The file contains one row per hashtag, and therefore tweets may appear more than once. The Python code for calculating #Polar scores is available here: http://doi.org/10.5281/zenodo.53888