cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21905826.v1
title: <strong>Reorganization of seagrass communities in a changing climate</strong>

description: Reorganization of Seagrass Communities in a Changing Climate <br> Authors: Barnabas H. Daru and Brianna M. Rock <br> This repository contains the data and code for the research paper on Reorganization of Seagrass Communities in a Changing Climate by Daru and Rock. The folder is structured into two subfolders as follows: <br> `DATA/INPUT`: Contains all the input data files, links to raw data download, and data table documentation for the project. `DATA/SCRIPTS`: Contains all the R scripts that were generated and used in this project. The full folder structure is as follows: <br> \---DATA +---INPUT | +---1_phylogeny | | \---seagrass_tree.tre | +---2_seagrasses_polygons | | \---seagrasses.gpkg | +---3_vector_polygons | | \---worldmap | +---4_WDPA (world database of protected areas) | | \---WDPA_protected_areas.csv +---SCRIPTS | +---01_Geographic_map_name_resolution.R | +---02_plotting_species_range_change.R | +---02_resolving_phylogenetic_names.R | +---03_Calibration_area.R | +---04_SDM_present.R | +---05_SDM_future.R | +---06_PRESAB_change.R | +---07_Change_range size.R | +---08_plotting_species_phylo.R | +---09_geochange_alpha.R | +---10_geochange_beta.R | +---11_geochange_phylobeta.R | +---12_plotting_geochange_SR.R | +---13_plotting_geochange_WE.R | +---14_plotting_geochange_PD.R | +---15_plotting_geochange_PE.R | +---16_plotting_geochange_beta_SIM.R | +---17_plotting_geochange_phylobeta_SIM.R | +---18_phylosignal_seagrasses.R | +---19_Spatial_correlation_alpha.R | +---20_Spatial_correlation_beta.R | +---21_Percentage_change_range size.R | +---21_Spatial_correlation_phylobeta.R | +---22_plotting_violin_PD.R | +---22_plotting_violin_SR.R | +---23_plotting_violin_PE.R | +---24_plotting_violin_WE.R | +---25_plotting_violin_beta.R | +---26_plotting_violin_phylobeta.R | +---27_potential_hotspots_alpha.R | +---28_MPA_sr.R | +---29_Plotting_hotspot_coverage.R | +---30_MPA_pd.R | +---31_MPA_we.R | +---32_MPA_pe.R | +---33_MPA_beta.R | +---33_MPA_phylobeta.R | +---33_Plotting_hotspot_coverage_PD.R | +---33_Plotting_hotspot_coverage_SR.R | +---34_Plotting_hotspot_coverage_WE.R | +---35_Plotting_hotspot_coverage_PE.R | +---36_Plotting_hotspot_coverage_beta_differentiation.R | +---37_Plotting_hotspot_coverage_phylobeta_differentiation.R | +---38_MEOW_violin_beta.R | +---39_MEOW_violin_phylobeta.R | +---40_Priority_hotspots_SR.R | +---41_Priority_hotspots_PD.R | +---42_Priority_hotspots_WE.R | +---43_Priority_hotspots_PE.R | +---44_Priority_hotspots_beta.R | +---45_Priority_hotspots_phylobeta.R <br>
DOI: 10.6084/m9.figshare.6388292.v1
title: NO-VALUE GENERATION? SUCCESS IS AN 'EXACT SCIENCE' THAT EVERYONE CAN LEARN!

description: ABSTRACT Purpose: The general objective is to critically analyze the ideologies and constructions of management ideology in the Internet blog called Geração de Valor (Generation of Value), behind the discourse of success. Originality/value: The pop-management phenomenon has been widespread in the Brazilian context. It leads individuals to look for formulas of excel and achieve success as entrepreneurs. One of the disseminators of this ideology has been Geração de Valor. This article innovates when dealing with thematic without prima donna behaviors or fanciful romanticism. Design/methodology/approach: This article aims to analyze texts available on Geração de Valor through critical discourse analysis (CDA). Findings: We conclude that the voice of the businessman and blogger Flávio Augusto da Silva is nothing more than one of several voices, including in administration, that seek to defend the cult of personal victory and disdain for the collectivist practices of social organization. This kind of analysis is still scarce in this field of study, as they require enriched readings of the text in terms of context and intertextuality. Critical analyses contradict hegemonic visions and sharpen the reader's critical sense. Also, they are useful in highlighting the cult following that Administration has been receiving by the media.
DOI: 10.6084/m9.figshare.23804773.v1
title: Antiviral activities of olive oil apigenin and taxifolin against SARS-CoV-2 RNA-dependent RNA polymerase (RdRP): <i>In silico</i>, pharmacokinetic, ADMET, and <i>in-vitro</i> approaches

description: A novel coronavirus strain called SARS-CoV-2 first appeared in China in December 2019. Natural products are significant sources of prospective and new antiviral medications, and new antiviral drug research has advanced significantly in recent years. The current study allows us to select specific components of olive oil that are thought to be anti-SARS-CoV-2 and assess their impact on SARS-CoV-2 in vitro. The 26 compounds of olive oil were obtained from the PubChem database and docked against the RdRP of SARS-CoV-2 (pdb id: 6XQB) by autodock vina 1 1 2 linux x86 software. Cytotoxicity and antiviral activity were measured by the MTT assay protocol (the crystal violet method). The findings revealed that the range of the olive oil compound’s molecular docking binding affinity score against the RdRP SARS-CoV-2 target was 5.9–18.2 kcal/mol. The best compound is apigenin since it has a low energy value of −18.2 kcal/mol, followed by taxifolin, which has an energy value of −14.2 kcal/mol. On the other hand, the molecule with the lowest energy is believed to be the good one. Additionally, Lipinski’s criteria and AD-MET analysis supported the created apigenin and taxifolin’s status as a secure pharmaceutical substance. Also, apigenin and taxifolin showed moderate antiviral effectiveness against SARS-CoV-2 in vitro, with SI values of 9.7 and 8.79, respectively, compared with olive oil’s crude SI value of 9.57. According to our results, we think that olive oil is an essential source of cutting-edge SARS-CoV-2 antiviral drugs, especially apigenin and taxifolin compounds.
DOI: 10.17632/vjdwgb65xb
title: NASA SLS-1 and SLS-2 Rat Datasets

description: The decision to reanalyze research from SLS-1 and SLS-2 was made on broader methodological questions on data engineering principles and research gaps about biology in spaceflight. Our methods are intended to facilitate the data organization of older spaceflight studies to perform further studies without the impediment of spaceflight experimentation costs and time. We developed a pipeline that could be applied to other studies of similar nature to use its results to bridge differences between space life science experiments. It’s a form of systematically updating previous reviews and giving more power and purpose to older legacy data. After testing our methods with datasets from the SLS Missions, we successfully wrote code that produces a programmable data frame that creates accurate and logical plots that may be used for spaceflight data reanalysis. 
The beauty of this longform data structure lies in its ability to compare multiple datasets from different experiments and tissues to generate new conclusions. Since all the measurements are stacked in one column, we can use the data frame’s simple nature to select with code which rows encompass our dataset and assign it to a variable to produce a plot. Essentially, we can choose an interesting physiological relationship that is readily available in our data frame and produce a plot to visualize how it may behave beside another dataset on a different tissue that shares the same experimental parameters. Different types of graphs, including box plots, pie charts, x/y line plots, bar graphs and more can be incorporated and automated into the code through py-matplotlib with just an input of the rows that will be used. It is exciting to be able to play around with organized and understandable datasets and visually discover interesting directions the data may take.
DOI: 10.6084/m9.figshare.19536754.v1
title: Dataset.zip

description: Text and audio data from the CMU-MOSI dataset
DOI: 10.6084/m9.figshare.5285320.v1
title: Supplementary material for: Metabolomics-based chemotaxonomy of root endophytic fungi for natural products discovery

description: Supplementary files for Maciá-Vicente et al. (2018) Metabolomics-based chemotaxonomy of root endophytic fungi for natural products discovery. Environmental Microbiology, doi: 10.1111/1462-2920.14072
DOI: 10.17632/69dmgvvyh6
title: An integrated Decision Support System for planning production, storage and bulk port operations in a fertilizer supply chain: Data sets and results

description: We provide the input data and results of six case studies inspired by the operations of OCP Group at the Jorf Lasfar chemical platform in Morocco.
DOI: 10.6084/m9.figshare.25856872.v6
title: A Tool-assisted Training Approach for Empowering Localization and Internationalization Testing Proficiency - Supplementary Material

description: Supplementary material for the article "A Tool-assisted Training Approach for Empowering Localization and Internationalization Testing Proficiency", under review at the 18th IEEE International<br>Conference on Software Testing, Verification and Validation (ICST)<br>2025<br>Contents:- Experimental Plan- Recruitment Form- Consent Form- TTT Walk-through- TTT SUS form- TTT SUS form responses- TTT evaluation form (qualitative study)
DOI: 10.15468/dl.wyup8f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platytroctes Günther, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((26.9648 -7.1504,17.9648 -7.1504,17.9648 -16.1504,26.9648 -16.1504,26.9648 -7.1504))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012942-250525065834625/datasets/export for details.
DOI: 10.17632/hswwzgw6rp
title: CONTRACTIONWAVE: Dense optical flow software to quantify cellular contractility

description: CONTRACTIONWAVE (CW) is a free software developed in Python Programming Language that allows the user to visualize, quantify, and analyze cell contractility parameters in a simple and intuitive format. The software enables the user to acquire membrane kinetics data of cell contractility during contraction-relaxation cycles through image capture and a dense optical flow algorithm. Both method and software were developed using multidisciplinary knowledge, which resulted in a robust data extraction protocol. CONTRACTIONWAVE was originally published in Scalzo et al., Dense optical flow software to quantify cellular contractility, Cell Reports Methods (2021), doi.org/10.1016/j.crmeth.2021.100044. Any use of CW should cite the paper. CW are distributed under the terms of the GNU General Public License version 2, and its source code is available at https://github.com/marceloqla/ContractionWavePy
DOI: 10.17632/xpjfgc2knm
title: Data for: An intelligent hybridization of ARIMA with machine learning models for time series forecasting

description: Three classical time series widely used in the literature.
DOI: 10.6084/m9.figshare.14247314.v1
title: Human_Subjects_CSV_descriptions.zip

description: Describes the acoustic composition of each recorded cocktail party scenario at channel level.<br><br>For details, please see the publication with the title: "Multichannel acoustic source and image dataset for the cocktail party effect in hearing aid and implant users"
DOI: 10.17632/s5hm86nyn6
title: Indistreet2K25: A Comprehensive dataset on Indian traffic Scene Understanding in diverse weather conditions.
DOI: 10.17632/yf439yp445
title: Sea stack plots: replacing bar charts with histograms
DOI: 10.17632/6rgwn584xb
title: duanliqiang

description: Tlectrochemical performance of lithium ion battery Characterization of structure and morphology
DOI: 10.17632/v7hv6js882
title: JDCR-D-22-00597R1

description: Supplemental Information for JAAD Case Reports (JDCR) article: JDCR-D-22-00597R1
DOI: 10.17632/fwyc25f5f5
title: Boomer seismic profiles, Charity Shoal structure, northeastern Lake Ontario

description: Single-channel seismic profiles were acquired over a 9-km2 area using a 100 J boomer seismic source (1-4 kHz; C-boom Ltd.) and 8-element hydrophone . Seismic profiles were collected along north-south and west-east lines. The survey navigation was recorded with an onboard D-GPS (± 0.5 m) and the seismic array positioned using a layback correction. The seismic processing flow included picking of water bottom first breaks, bandpass filtering (200-3500 Hz) and application of time-varying gain (TVG) in Vista 2D/3DTM software. In a final step, a zero-offset correction was applied to suppress water-bottom multiples using RadexplorerTM software . Depth scales on the seismic sections were estimated using a water column velocity of 1450 ms-1 and 1600 ms-1 for unconsolidated sediments above bedrock.
DOI: 10.17632/grsdykghk2
title: FLS Data

description: Compiled Data for FLS Data
DOI: 10.17632/ww6yb6hkby
title: The Nondlazi-Mantlana et al. South African Climate Change Adaptation research literature dataset (Top 11 Journals 1966-2022)

description: This dataset contains information regarding the annual publication rates in the top 11 journals focusing on climate change adaptation in South Africa from 1966 to 2022. The main objective of this data collection was to evaluate the extent to which climate change adaptation research aligns with the sectors outlined in the South African climate change adaptation strategy. Furthermore, it aimed to determine whether policymakers consider the diverse sectors covered by climate change adaptation research literature, and if researchers prioritize publishing in the sectors outlined as priorities in the South African climate change adaptation strategy.

The dataset is structured as a data frame containing 33 rows of observations, where each row represents a specific journal. The data frame consists of three variables:

[,1] JOUNA factor Journal Name
[,2] INA factor Index Name
[,3] IVA numeric Index Value (index)
DOI: 10.6084/m9.figshare.21806472.v1
title: GDM Dataset.xlsx

description: Using CERNER records of pregnancies monitored at St. Mary's Hospital in London from April 2016 to November 2019, we carried out a retrospective observational research. 26063 patients were found in the initial search results, with the following factors: Postcode, height, weight, BMI at booking, ethnicity (self-reported), parity, offer of a glucose tolerance test, results of the test (0 minutes and 120 minutes after a 75g glucose load), mode of delivery, estimated total blood loss, gestational age, neonatal birthweight, admission to a SCBU, length of stay after delivery, foetal sex, and stillbirth are some of the other factors taken into account. Prior to analysis, patients having missing values for one or more of the important variables were deleted from the dataset. We did not make an effort to impute missing data. When reexamining the original patient data was not possible, significantly outlying results were adjusted, and datasets were then eliminated. Unit measurement inconsistencies were fixed.
DOI: 10.17632/rczrcyttsr
title: Dataset of imported-local products switching intention

description: The current dataset is the results of a survey of 528 consumers to investigate imported-local product switching intention by using partial least square structural equation modeling (PLS-SEM). The current dataset includes raw data, PLS-SEM results, outer model, and inner model. The current dataset has seven variables, namely: environmental concern, environmental knowledge, social concern, perceived knowledge of social issues, and switching intention.
DOI: 10.17632/g4pkrm3mbr
title: Data for: Structural Scenario Analysis with SVARs

description: Data for paper
DOI: 10.6084/m9.figshare.22214227.v1
title: Raw data Spectrophotometer (Figure 3)

description: Raw data for calculating UV VIS Spectrophotometer (Figure 3)
DOI: 10.6084/m9.figshare.24435052.v1
title: BUSCO gene alignment and tree file for the MetaInvert genomes phylogeny

description: BUSCO gene alignment and tree file for the MetaInvert genomes phylogeny.
DOI: 10.6084/m9.figshare.25928401.v2
title: An Intelligent Feedback Approach for Locating and Dispatching Two Types of Ambulances under Uncertainty and Partial Coverage Considerations

description: Data sets and detailed results for the article: "An Intelligent Feedback Approach for Locating and Dispatching Two Types of Ambulances under Uncertainty and Partial Coverage Considerations".Abstract: The Emergency Vehicle Covering and Planning (EVCP) problem locates a limited number of two heterogeneous types of ambulances in different city points and dispatches them to the emergency scenes, considering the uncertainty of the emergency locations, to maximize the emergency total and partial coverage and the response time in which the patients receive medical first aids. We propose a novel two-stage quadratic stochastic program for the EVCP problem that locates the limited number of heterogeneous types of ambulances in the first stage. The second stage deals with dispatching ambulances to accidents. The EVCP stochastic model allows partial coverage of the accidents by the ambulances based on a decay function. Instead of decomposing the stochastic model, we propose a location-allocation methodology that relies on the solution of an auxiliary surrogate model, which is faster to solve. The location of the ambulances obtained by this surrogate model is input to the original model. Experimental results show that we obtain high-quality solutions in a reasonable time.
DOI: 10.17632/srrt2y5s4m
title: Universally Adaptable Multiscale Molecular Dynamics (UAMMD). A native-GPU software ecosystem for complex fluids, soft matter, and beyond

description: We introduce UAMMD (Universally Adaptable Multiscale Molecular Dynamics), a novel software infrastructure tailored for mesoscale complex fluid simulations on GPUs. The UAMMD library encompasses a comprehensive range of computational schemes optimized for the GPU, spanning from molecular dynamics to immersed boundary fluctuating-hydrodynamics. Developed in CUDA/C++14, this header-only open-source software serves both as a simulation engine and as a library with a modular architecture, offering a vast array of independent modules, categorized as interactors (neighbor search, bonded, non-bonded and electrostatic interactions, etc.) and integrators (molecular dynamics, dissipative particle dynamics, smooth particle hydrodynamics, Brownian hydrodynamics and a rather complete array of Immersed Boundary -IB- schemes). UAMMD excels in schemes that couple particle-based elastic structures with continuum fields in different regions of the mesoscale. To that end, thermal fluctuations can be added in physically consistent ways, and fast modes can be eliminated to adapt UAMMD to different regimes (compressible or incompressible flow, inertial or Stokesian dynamics, etc.). Thus, UAMMD is extremely useful for coarse-grained simulations of nanoparticles, and soft and biological matter (from proteins to viruses and micro-swimmers). Importantly, all UAMMD developments are hand-to-hand validated against experimental techniques, and it has proven to quantitatively reproduce experimental signals from quartz-crystal microbalance, atomic force microscopy, magnetic sensors, optic-matter interaction and ultrasound.
DOI: 10.6084/m9.figshare.23552826.v1
title: THE IMPACT OF GREEN HRM ON GREEN IT ATTITUDES AND BELIEFS IN INFORMATION TECHNOLOGY SECTOR

description: This is a .csv file for the first 14 respondents to my research survey. It carries responses of individuals as filled by them through the provided link. The anonymity of employees was maintained.
DOI: 10.17632/26p6yy3nbg
title: Triatom, select and rotlev — For the calculation of the ro-vibrational levels of triatomic molecules

description: Title of program: TRIATOM Catalogue Id: AALO_v1_0 Nature of problem TRIATOM calculates the bound ro-vibrational levels of a triatomic system using the generalised body-fixed coordinates developed by Sutcliffe and Tennyson. Versions of this program held in the CPC repository in Mendeley Data AALO_v1_0; TRIATOM; 10.1016/0010-4655(86)90042-1 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/dcsjbbz4jn
title: Phase-space Joint Resolved PD Datasets of Defects on Insulator Surface in GIS

description: Partial discharges (PDs) initiated by conductive particles attached to the insulator surface in gas-insulated metal-enclosed switchgear (GIS) may occur at different particle tips with varying spatial information. PD modes also differ depending on the spatial position and voltage phase. This dataset consists of three folders which are named by the figure number in paper "Study on Phase-space Joint Resolved PD Characteristics of Defects on Insulator Surface in GIS" (submitted to IEEE Transactions on Dielectric and electrical insulation). If you have any questions, please contact with me with no hesitate (E-mail: z_c_wu@163.com).
DOI: 10.17632/h8bdwrtnr5
title: RINGS algorithm dataset

description: This repository contains the image dataset and the manual annotations used to develop the RINGS algorithm for automated prostate glands segmentation: - Salvi M., Bosco M., L. Molinaro, Gambella A., Papotti M., Udyavara Rajendra Acharya, and Molinari F., "A hybrid deep learning approach for gland segmentation in prostate histopathological images", Artificial Intelligence in Medicine 2021 (DOI: 10.1016/j.artmed.2021.102076) Background: In digital pathology, the morphology and architecture of prostate glands have been routinely adopted by pathologists to evaluate the presence of cancer tissue. The manual annotations are operator-dependent, error-prone and time-consuming. The automated segmentation of prostate glands can be very challenging too due to large appearance variation and serious degeneration of these histological structures. Method: A new image segmentation method, called RINGS (Rapid IdentificatioN of Glandural Structures), is presented to segment prostate glands in histopathological images. We designed a novel glands segmentation strategy using a multi-channel algorithm that exploits and fuses both traditional and deep learning techniques. Specifically, the proposed approach employs a hybrid segmentation strategy based on stroma detection to accurately detect and delineate the prostate glands contours. Results: Automated results are compared with manual annotations and seven state-of-the-art techniques designed for glands segmentation. Being based on stroma segmentation, no performance degradation is observed when segmenting healthy or pathological structures. Our method is able to delineate the prostate gland of the unknown histopathological image with a dice score of 90.16% and outperforms all the compared state-of-the-art methods. Conclusions: To the best of our knowledge, the RINGS algorithm is the first fully automated method capable of maintaining a high sensitivity even in the presence of severe glandular degeneration. The proposed method will help to detect the prostate glands accurately and assist the pathologists to make accurate diagnosis and treatment. The developed model can be used to support prostate cancer diagnosis in polyclinics and community care centres.
DOI: 10.6084/m9.figshare.28667522.v1
title: Road junction density of China in 2011

description: Process: kernal density of all road junctions of China in 2011 (searching radius 1000m)Spatial resolution 200mDensity (ESRI GRID)、Junctions (ShapeFile): please email ylong@tsinghua.edu.cn for the raw junctions of China (over 2 million junctions)Provided by Dr Ying Long<br>To cite: Long Y, Shen Y, Jin X, 2015, “Mapping block-level urban areas for all Chinese cities”, Annals of the American Association of Geographers 106 96-113