cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26362960.v1
title: Raw data, codes and previous analysis in <b>Potaxies and Fifes study.</b>

description: This study delves into the Potaxie, Fifes, and Tilinx subcultures on TikTok, exploring their origins, characteristics, and cultural significance. Originating from a viral TikTok video in 2020, the Potaxie subculture emerged within the LGBTQ+ community in hispano-speakers countries and evolved to symbolize inclusivity and gender equality. Potaxies employ vibrant aesthetics influenced by Japanese and Korean pop culture to express their identities and resistance. In contrast, Fifes represent a counterculture associated with cisgender heterosexual men, embodying traditional patriarchal values and often perceived as machista and homophobic. This opposition creates a dynamic narrative of resistance between the two groups. The Tilinx, symbolic offspring of the Potaxies, are inspired by ballroom culture and drag houses, with “mothers” Potaxies, continuing the fight for inclusion and diversity. Using a mixed-methods approach, including quantitative analysis via the TikTok API and qualitative content analysis through MAXQDA and Python, this study provides a comprehensive understanding of the subculture that accumulates more than 2.3 billion interactions only with the #potaxie content. The findings highlight how TikTok serves as a platform for identity construction, cultural resistance, and the redefinition of social norms. Furthermore, the study examines how digital platforms like TikTok mediate intersectional experiences, favoring certain types of content through algorithms, and how participants navigate these affordances and constraints in expressing their intersecting identities. The implications for communication strategies and further research into the commodification of these subcultures are profound, offering insights into the transformative potential of social media in shaping contemporary cultural and social narratives.
DOI: 10.17632/3h8347w6d9
title: SDesti: An R package for the analysis of aquatic benthos environmental studies’ data

description: Data analysis is one of the most relevant steps of aquatic benthic environmental monitoring and research studies, and should be a fundamental consideration in both the planning (i.e., defining appropriate sampling design strategies) and implementation phases (application of appropriate standardized sampling procedures). A common objective of these studies is to identify relationships between environmental stressors and benthic bioindicator metrics. However, assessing these relationships is a complex process. Multivariate regression model adjustment coupled with forward and backward model selection routines is an appropriate complementary statistical analysis tool to test for the existence of statistically significant associations between a non-autocorrelated biological response and each variable within a group of environmental covariates included in a model. With this in mind, we developed SDesti, a user-friendly R package to analyze benthos data (number of individuals, biomass, chlorophyll concentration, or biological indices, excluding beta diversity metrics). SDesti contains four user accessible functions. AnalysisDescriptives() and Estimation() give information on the quality, homogeneity and representativeness of the data for one sampling campaign for one site. TimeLineAnalysisDescriptives() performs the descriptive analysis that usually precedes the adjustment of a regression model. TimeLineAnalysis() automatically adjusts an adequate regression model (linear, Poisson, quasipoisson, or negative binomial) and also returns the necessary measures and graphics to evaluate the quality of the adjustment and verify the model assumptions.
SDesti greatly simplifies the process of data analysis and can be easily used by non-statisticians. The analytical package includes a complete manual that provides detailed information: on the data structure requirements, on the variable nomenclature rules and program operating procedures, on the data analysis (complemented with examples) and on the interpretation of the results (type ??SDesti on R console). SDesti eliminates redundancy, reduces human error and, coupled with a suitable sampling design, standard sampling and sample treatment procedures, it contributes to improve the consistency of the results in environmental studies.
SDesti binary for windows users and installation instructions can be found below.
Compiled for R 4.3.2 version.
Refer to the program PDF manual for a detailed description of the data structures, functions, data analyses and interpretation of results. Type ??SDesti on R, or RStudio consoles and select the PDF file.
Note: RStudio 2023.09.1 has a bug that delivers an error message when trying to open PDF vignettes (program manuals). Use R 4.3.2 console to open SDesti's PDF manual.
DOI: 10.6084/m9.figshare.5853180.v2
title: GDPR tool for handling Data-Subject rights & requests

description: This tool lists the <b>Data-Subject rights under the General Data Protection Regulation (GDPR)</b>.<br><br>It has 2 main <b>objectives</b>:<br><br>1. To make a contribution to the knowledge of GDPR Data-subject rights using an original methodology.<br>2. To provide GDPR controllers and processors with a general overview of data-subject rights. This includes: their meaning; who can exercice them; how to handle them; a legal framework; relevant caselaw and restrictions on rights.<br><br><b>File formats available</b>:<br><br>Excel<br>PDF<br><br><b>Languages available:</b><br><br>English<br>Spanish<br><br>
DOI: 10.17632/ghkms3cgbg
title: Windows Registry Data Sets

description: The datasets consist of four Windows registry files collected from four different Windows PCs. Because Windows registry contains system- and applications- dependent critical information, it is useful in researching the potential system security issues and digital forensics. Because all the PCs were not currently used, the contained issues do not arise the actual security problems. All the files are extracted from Windows built-in command lines. The three files out of them are raw datasets extracted from Windows directly. The fourth file (i.e., registry 4) is transformed from the raw data in a key-value pair format for further processing, but it contains completely exact information with the others.
DOI: 10.6084/m9.figshare.27141441.v1
title: Nucleocentric-Profiling

description: Test data associated with the ELife publication 'Unbiased identification of cell identity in dense mixed neural cultures'.
DOI: 10.6084/m9.figshare.29087996.v1
title: Raw_DATA-Ag2O-Hydrogel.xlsx

description: Data for article "<b>Room-temperature Synthesis of Silver-based Nanoparticles Embedded in a Catalytically Controlled Hydrogel Material for Recyclable Dye Degradation Applications</b>"
DOI: 10.6084/m9.figshare.3550470.v1
title: Appendix B. Abundance of Pseudoroegnaria spicata, Hesperostipa comata, and Artemisia tripartita observed in the mapped quadrats over the study period.

description: Abundance of Pseudoroegnaria spicata, Hesperostipa comata, and Artemisia tripartita observed in the mapped quadrats over the study period.
DOI: 10.6084/m9.figshare.5976973.v1
title: Supplementary Material for: A Phase I/Randomized Phase II Study to Evaluate the Safety, Pharmacokinetics, and Efficacy of Nintedanib versus Sorafenib in Asian Patients with Advanced Hepatocellular Carcinoma

description: <b><i>Background:</i></b> Nintedanib is an oral, triple angiokinase inhibitor of vascular endothelial growth factor/platelet-derived growth factor/fibroblast growth factor receptors. This randomized, multicenter, open-label, phase I/II study evaluated the safety, pharmacokinetics, maximum tolerated dose (MTD) in terms of dose-limiting toxicities (DLTs), and efficacy of nintedanib versus sorafenib in Asian patients with unresectable advanced hepatocellular carcinoma (HCC). <b><i>Patients and Methods:</i></b> For the phase I portion, patients were stratified into two groups according to their alanine aminotransferase/aspartate aminotransferase (ALT/AST) and Child-Pugh score at baseline. For phase I, the primary endpoint was determination of the MTD in terms of DLTs. For phase II, patients with a Child-Pugh score of 5–6, an Eastern Cooperative Oncology Group performance score ≤2, and an ALT/AST ≤2× the upper limit of normal were enrolled and randomized 2: 1 to nintedanib 200 mg twice daily (b.i.d.) (the MTD determined in phase I) or sorafenib 400 mg b.i.d. continuously in 28-day cycles until intolerable adverse events (AEs) or disease progression (PD); treatment beyond PD was allowed if clinical benefit was perceived. The primary endpoint for phase II was time to progression (TTP) by central independent review (CIR; by Response Evaluation Criteria in Solid Tumors v1.0); the secondary endpoints included overall survival (OS). All analyses were exploratory. <b><i>Results:</i></b> The MTD was 200 mg in both groups. For phase II, 95 patients were randomized to nintedanib (<i>n</i> = 63) or sorafenib (<i>n</i> = 32). For nintedanib and sorafenib, respectively, the median CIR TTP was 2.8 vs. 3.7 months (hazard ratio [HR] = 1.21, 95% confidence interval [CI] 0.73–2.01) and the median OS 10.2 vs. 10.7 months (HR = 0.94, 95% CI 0.59–1.49). Nintedanib-treated patients had fewer grade 3 or higher AEs (56 vs. 84%), serious AEs (46 vs. 56%), and AEs leading to dose reduction (19 vs. 59%) and drug discontinuation (24 vs. 34%). AEs associated more frequently with nintedanib were vomiting and nausea, whereas those associated more frequently with sorafenib were ALT/AST increases, diarrhea, rash, and palmar-plantar erythrodysesthesia syndrome. <b><i>Conclusions:</i></b> Nintedanib showed numerically similar efficacy to sorafenib for CIR TTP and OS in Asian patients with advanced HCC and adequate liver function. AEs were generally manageable.
DOI: 10.6084/m9.figshare.8117831.v1
title: Matlab code from A mathematical model for a biphasic dna amplification reaction

description: This is the matlab file (.m) that was used to solve the system of ODEs described in the manuscript.
DOI: 10.17632/ndngps45s2
title: matlab script for distance analysis

description: matlab script for distance analysis
DOI: 10.6084/m9.figshare.1618710.v1
title: Gino Ballantyne's Artivity phase 2 data

description: This is the output from Gino Ballantyne's work during testing software for the second phase of Artivity. It is exported from Openlink Virtuoso as N/triples.
DOI: 10.6084/m9.figshare.19130465.v4
title: COins database

description: COins is a database of COI-5P sequences of insects that includes over 532,000 representative sequences of more than 106,000 species specifically formatted for the QIIME2 software platform. It was developed through a combination of automated and manually curated steps, starting from insects COI sequences available in the Barcode of Life Data System selecting sequences that comply to several standards, including a species-level identification.<br><br><br><br><b>seq-degapped.qza</b> --&gt; reference sequences<br><b>taxonomy.qza</b> --&gt; sequences taxonomy<br><b>SklearnClassifier_COins_QIIME2_v2024.5.qza (NEW!)</b> --&gt; naïve Bayes taxonomic classifier trained on CO<i>ins</i> (QIIME2 version 2024.5)<br><b>SklearnClassifier_COins_QIIME2_v2023.5.qza</b> --&gt; naïve Bayes taxonomic classifier trained on CO<i>ins</i> (QIIME2 version 2023.5)<br><b>SklearnClassifier_COins_QIIME2_v2022.2.qza</b> --&gt; naïve Bayes taxonomic classifier trained on CO<i>ins</i> (QIIME2 version 2022.2)<br><b>Sequences_metadata1.tsv</b> --&gt; Identification procedure of voucher specimens from which reference sequences were developed.Identification procedure is reported for each sequence included in CO<i>ins</i> (BOLD id reported in <i>BOLDid reference</i> column) and for all identical sequences within haplotypes that were removed at Step 5 of CO<i>ins</i> curation (those for which BOLD id is not available in <i>BOLDid reference </i>column). The haplotype to which each sequence belongs is reported in <i>Haplotype</i> column (haplotypes of each species are labeled with increasing numbers). Identification procedure information derived from sequences associated metadata provided by BOLD system.<br><b>Sequences_metadata2.tsv </b>--&gt;Identical sequences belonging to different species present within CO<i>ins</i>.Each row represents a cluster of identical sequences associated to different species, sequences included in the cluster are labeled with species name and BOLD id.<br>
DOI: 10.6084/m9.figshare.21227765.v1
title: Traffic Sign

description: Traffic Sign dataset
DOI: 10.6084/m9.figshare.21637208.v1
title: Dataset_Herrmannetal..xlsx

description: Data used for <strong>"The degree of urbanisation reduces wild bee and butterfly diversity and alters the patterns of flower-visitation in urban dry grasslands " </strong>authored by <br> Johann Herrmann*, Sascha Buchholz & Panagiotis Theodorou*
DOI: 10.17632/kw5b7d9zgn
title: Batik Lasem Motifs Collections (Gunung Ringgit, Kricak, Latohan, Nyuk Pitu, Seritan)

description: Batik Lasem Motifs Collection - This collection features five distinctive Batik Lasem motifs: Gunung Ringgit (864 files), Kricak/Watu Pecah (1004 files), Latohan (1373 files), Nyuk Pitu (1291 files), and Seritan (1328 files), totaling 5860 files. Each motif reflects the rich cultural heritage and artistic intricacy of Batik Lasem, showcasing unique patterns inspired by nature, history, and traditional Javanese-Chinese influences.
DOI: 10.6084/m9.figshare.23607753.v1
title: patient39.rar

description: A Patient with fundus images that taken by Ret-cam.
DOI: 10.17632/r6g7dwchw3
title: Data for: Kinematic Calibration Method for a Two-Segment Hydraulic Leg Based on an Improved Whale Swarm Algorithm

description: The experimental data, including the comparison experiment over 30 runs and application experiment.
DOI: 10.6084/m9.figshare.14626899.v3
title: Data for Alongflow variability of the Labrador Current during the Holocene

description: The mean size of the sortable silt for cores 96-20 and 93-27
DOI: 10.6084/m9.figshare.24182547.v1
title: <b>KEPES</b> <b>Journal</b>

description: <b>Journal Link:</b> https://scholopress.com/kepes-journal<b>Journal DOI:</b> 10.6084/m9.figshare.24182547MissionTo promote research in the rapidly expanding disciplines of <b><i>Arts, Humanities, Sciences, Education, Social sciences, Engineering and Technology, Commerce</i></b><b><i> </i></b>and <b><i>Management</i></b>, and provide a forum for dissemination of research findings of scholars and academicians on pertinent issues. The journal aims to provide a forum for a broad blend of scientific and technical papers to reflect the evolving needs of the academia.Aims and Scope<b><i>KEPES</i></b> Journal is a peer-reviewed and <b>SCOPUS</b> indexed scientific international journal dedicated to publish and disseminate the high quality scientific research work in all the fields of;ArtsHumanitiesSciencesEducationSocial sciencesEngineering and TechnologyCommerceManagementAll articles published in <i>Kepes</i><i> </i>Journal are peer reviewed.<b>KEPES</b><sup>Q1</sup> Journal is now publishing in multidisciplinary fields. The journal was recently shifted to <b>Multidisciplinary</b><b> </b>fields including <b>Arts, Humanities, Sciences, Education, Social sciences, Engineering and Technology, Commerce</b><b> </b>and <b>Management</b>. The manifest concern to confront the research findings and reviews from <b>Multidisciplinary</b><b> </b>subject areas has led to consider the need to generate stable academic communities to allow the exchange of ideas in order to address responsibly the challenges. In this sense KEPES Journal is proposed on a scenario framed in the lineaments of scientific nature, research dissemination and reflections underway in various national and international academic institutions.
DOI: 10.6084/m9.figshare.7185203.v2
title: Molecular dynamics trajectory of membrane protein NhaA

description: Molecular dynamics (MD) trajectory of the NhaA membrane protein in a POPE:POPG 4:1 model membrane. The equilibrium simulation was performed in the NPT ensemble at T=300K and P=1 bar. The system was simulated with Gromacs 5.1.4, using the CHARMM36 force field, the TIP3P explicit water model, and NaCl at approximately 100 mM concentration. <br><br>Trajectory frames were saved every 100 ps for a total of 500 ns simulated time. The topology only contains the protein, membrane and ions (because the water molecules were stripped from the trajectory to save space).<br><br>The topology is contained in the NhaA_non_water.gro file. The trajectory is contained in the NhaA_non_water.xtc file.<br><br>
DOI: 10.17632/327sgpkd26
title: The relationship between metabolically healthy obesity and the risk of cardiovascular disease: A systematic review and meta-analysis

description: Supplementary Appendix
DOI: 10.17632/7ns5bvy6ry
title: Data for 'Life cycle assessment and production cost of geopolymer concrete: A meta-analysis'

description: This Excel file contains assembled datasets on Portland cement concrete (PCC), geopolymer concrete (GPC), characterization factors for performing life cycle assessment (LCA), and constituent costs from the literature. These datasets were used to inform the meta-analysis developed in "Life cycle assessment and production cost of geopolymer concrete: A meta-analysis" by Andres Martinez and Sabbie A. Miller, submitted to Resources, Conservation and Recycling.

Four datasets are in the file, each placed in an individual sheet. A more detailed description of each dataset is provided below:

Sheet 1 - "pcc_data": data on PCC formulations from the literature. The dataset includes the following quantities: in kg/m^3: cement content (cement), ground-granulated blast-furnace slag content (GGBFS), fly ash content (FA), metakaolin content (MK), rice husk ash content (RHA), water content (water), superplasticizer content (SP), coarse aggregate content (coarse_aggregate), and fine aggregate content (fine_aggregate); age in days (age), compressive strength in MPa (fc), type of specimen for testing (tested_specimen), specimen dimensions in mm (d_cylinder, h_cylinder, d_cube), and CEM cement type (CEM_type).

Sheet 2 - "gpc_data": data on GPC formulations from the literature. The dataset includes the following quantities in kg/m^3: cement content (cement), ground-granulated blast-furnace slag content (GGBFS), fly ash content (FA), metakaolin content (MK), rice husk ash content (other_SCM), total water content (total_water), superplasticizer content (SP), coarse aggregate content (coarse_aggregate), fine aggregate content (fine_aggregate), sodium hydroxide content (SH), sodium and silicate content (SS); sodium hydroxide molarity in moles/liter (SH_concentration), curing time in days (curing_time), curing temperature in Celsius (curing_temp), curing method, type of specimen for testing (tested_specimen), specimen dimensions in mm (d_cylinder, h_cylinder, d_cube),l and compressive strength in MPa for different specimen types at different ages (type_fc_age),

Sheet 3 - "characterization_factors": characterization factors for different concrete constituents and processes obtained from the ecoinvent v.3.9 database and the OpenConcrete tool. The indicators include the following emissions in kg of emission/unit: greenhouse gas (GHG), nitrogen oxides (NOx), sulfur oxides (SOx), particulate matter (PM10, PM2.5), volatile organic compounds (VOC) and carbon monoxide (CO).

Sheet 4 - "costs": data on the cost of different concrete constituents from the literature in US dollars.

Detailed information on the data source is contained in the spreadsheet and the manuscript.
DOI: 10.6084/m9.figshare.1536261.v2
title: Mango Phenology Data

description: Mango phenology data collected from Ranchi, Jharkhad, India (2014-15)
DOI: 10.6084/m9.figshare.16778059.v1
title: Seagrass distribution, areal cover, and changes (1990–2021) in coastal waters off West-Central Florida, USA

description: <strong>Dataset provided by:</strong> Luis Lizcano-Sandoval* College of Marine Science, University of South Florida *luislizcanos@usf.edu <br> January 2022. <br> This dataset includes seagrass distribution maps of the West Florida coast (Tampa Bay, Clearwater, St. Joseph Sound, Sarasota) obtained by remote sensing data over the period 1990-2021. Ground-truth dataset for 2019 is provided, with three classes: softbottom [0], hardbottom [1], and seagrass [2]. <br> The seagrass maps are (16) raster files in geotiff format, and the ground-truth data is a (1) shapefile. <br> More details about the methods and references on the origin of the dataset visit the article associated. <br> If want to cite this dataset please use the associated doi provided by figshare, or cite the article. We will appreciate it! <br> Note: A supplemental file containing seagrass extent values, list of satellite images used, and references of ground-truth data is provided with the article. The article is being submitted for publication at the moment of publishing this dataset in figshare. <br> Article: Lizcano-Sandoval, L., Anastasiou, C., Montes, E., Raulerson, G., Sherwood, E. & Muller-Karger, F. (In Press) Seagrass distribution, areal cover, and changes (1990–2021) in coastal waters off West-Central Florida, USA. Estuarine, Coastal and Shelf Science.
DOI: 10.6084/m9.figshare.20626179.v1
title: Global CO2 emission reduction due to reduced forest loss

description: Spatial emission reduction owing to reduced forest loss with the deforestation rate dropping to zero evenly by 2030 (t yr<sup>-1</sup>)
DOI: 10.6084/m9.figshare.22723817.v1
title: Supplemental data_cvdrift.pdf

description: Individual data for the beta-blocked (BB) and control (CON) groups
DOI: 10.6084/m9.figshare.26506984.v1
title: Supplemental Material for: Total and regional fat-to-muscle mass ratio in relation to all-cause and cause-specific mortality in men and women

description: This document contains supplemental material for the manuscript entitled " Total and regional fat-to-muscle mass ratio in relation to all-cause and cause-specific mortality in men and women" This supplement contains 4 tables and 9 Figures.