cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7ty7t9
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Oxytropis coerulea (Pall.) DC.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 55 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012973-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/24nbmf7bzz
title: SOLID consumer survey dataset
DOI: 10.17632/jytvts9z3t
title: Crosslinked hybrid polymer/ceramic composite coatings for controlled release of clindamycin

description: The results of the research on the physicochemical analysis of bioactive composite coatings as a drug carrier, intended for bone tissue regeneration. The analysis and description of the results are discussed in the publication "Crosslinked hybrid polymer/ceramic composite coatings for controlled release of clindamycin". The results were obtained as part of the “Multifunctional biologically active composites for applications in bone regenerative medicine” project, carried out within the TEAM-NET program of the Foundation for Polish Science, financed by the European Union under the European Regional Development Fund (grant no. POIR.04.04.00-00-16D7/18).
DOI: 10.17632/nzrhv6tt2x
title: Linking chromatin lysine acylation-defined proteome and genome in living cells. Qin et al.

description: Uncropped image of WB and CBB.
DOI: 10.17632/vvc4wmm2wy
title: Railing Suture for Science-Based and Administrative Empowerment of Market Access to Fish for Economic Development in South Sudan

description: This thesis uncovered four sutured pillars needed to strengthen a complementary espousal bond between scientific consultation and public awareness that are empowered administratively and legally. In the first sutured pillar, as it evaluated perspectives on fish consumption preference, frequency and information accessibility among 191 households in Juba Town, Kator & Munuki Payams of Juba County, interviewed using non-probability sampling method (as well as reliance on secondary data collection from peer-reviewed journals, government and organization repositories for reviewing and developing of the second, third and fourth sutured pillars) and analyzed thematically and descriptively using SPSS software 20.0, the findings revealed that majority (&gt;50%) of the households consumed wild and farmed fish regularly but in small amounts. The most preferred fish species & products, purchasing points, motivation & constraints, information accessibility influencing fish consumption and recommendations have been revealed. The second, third and fourth sutured pillars relied on secondary data from peer-reviewed publishers, government and organization repositories. Investigation and awareness on the nutritional content and contamination of fish and fish products, which underlined the essence of the second sutured pillar, are important attributes in strengthening the profile of the fisheries and aquaculture sector for economic development in South Sudan. Proper instrumentation of the first and second sutured pillars for efficient fish supply/value chain development requires multi-stakeholder participation under appropriate administrative and legal arrangements and tools in light of adequate funding and sector-linked national conference. The last two sutured pillars, which emphasized multi-stakeholder mapping, validation and enforcement of a strategic framework and Bill, are considered foundational in the effort to appropriately regulate or manage and (as such) upgrade the fish supply/value chain for economic development in South Sudan. So the four sutured pillars are considered complementary in order to receive adequate attention in programs or projects interventions because awareness and consultations on their respective status and simultaneous interactions may either accelerate or jeopardize successful fish market access for economic growth and development in such a protracted-crisis country. This way, the complementary espousal bond between scientific consultation and public awareness under administrative and legal empowering arrangements and tools to achieve the economic aspirations of South Sudan Vision 2040 via the fisheries and aquaculture sector is within reach. So all the four sutured pillars, namely (i) fish and fish consumption, (ii) quality assessment, (iii) administrative and legal instruments, and (iv) multi-stakeholder participation, should be incorporated in projects or programs aimed at enhancing economic growth and consumer health security.
DOI: 10.17632/rb24cpc2hg
title: MEASURING GREENWASHING: DEVELOPING AND VALIDATING CONSTRUCTS

description: This dataset, titled MEASURING GREENWASHING: DEVELOPING AND VALIDATING CONSTRUCTS, was collected as part of a study aimed at understanding greenwashing practices within organisations. The survey assesses organisational behaviours across multiple constructs of greenwashing, including Misleading Environmental Claims, Selective Disclosure, Symbolic Corporate Environmentalism, ESG Metric Manipulation, Green Trust, Digital Greenwashing, Corporate Reputation and Consumer Trust, and Investor Decision-Making.
The dataset includes responses from 320 participants representing diverse organizational roles and demographics. For each construct, participants rated their agreement with statements on a 1–5 Likert scale, where 1 indicates "Strongly Disagree" and 5 indicates "Strongly Agree." This dataset provides valuable insights into how greenwashing practices impact stakeholder trust and perceptions, serving as a foundation for validating measurement constructs for greenwashing in organizational contexts.
DOI: 10.17632/6ncwmyx6y4
title: Dataset on the determinants of willingness to continuously use financial technology among Indonesian university students

description: The dataset examines the two factors of perceived benefit and perceived risk that influence millennials Indonesian university student’ willingness to continuously continuance use financial technology.
DOI: 10.17632/7xwsksdpy3
title: iris-csv

description: Iris dataset from open source.
DOI: 10.17632/82d5g6ks98
title: Dataset - Mental skills of coaches

description: The dataset consists of the results from the study on esports and conventional sports coaches mental skills, mental techniques, as well as quality of the relationship between coach and athlete
DOI: 10.17632/x45zh4nz28
title: detonationFoam: An open-source solver for simulation of gaseous detonation based on OpenFOAM

description: Detonation has promising applications in advanced propulsion systems, and numerical simulation is widely used to gain insights into the complex interaction between the hydrodynamic flow and chemical reactions involved in detonation. In this work, detonationFoam, an open-source solver for accurate and efficient simulation of compressible reactive flow and detonation are developed based on OpenFOAM. detonationFoam can simulate compressible, multi-component, reactive flow and it can accurately evaluate the detailed transport coefficients using the mixture-averaged transport model. Compared to rhoCentralFoam, the improved HLLC-P approximate Riemann solver is used in detonationFoam and it helps to accurately resolve shock waves appearing in detonation. Besides, the adaptive mesh refinement and dynamic load balancing algorithms are used in detonationFoam, which greatly improves the computational efficiency. Validation tests including homogenous ignition, unsteady diffusion, shock tube problem, premixed flame, planar detonation, double Mach reflection, detonation cellular structure and oblique detonation wave are conducted. These tests demonstrate that detonationFoam can be used to accurately and efficiently to simulate the compressible, multi-component reactive flow and detonation processes.
DOI: 10.17632/5h3nb48m57
title: Dataset: Air Quality Index (AQI) of Major Indian Cities and Stations 30/4/2024

description: The dataset contains air quality information for various cities across India. It includes parameters such as Air Quality Index (AQI), concentrations of particulate matter (PM2.5 and PM10), ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO), as well as geographical coordinates and time stamps. This dataset enables analysis and comparison of air quality levels among different cities, aiding in understanding environmental health impacts and informing policy decisions.
DOI: 10.6084/m9.figshare.24630879.v1
title: Source data for graphs and charts

description: Topsoil arsenic (As) contamination threatens the ecological environment and human health. However, traditional methods for As identification rely on on-site sampling and chemical analysis, which are cumbersome, time-consuming, and costly. Here we developed a method combining visible near infrared spectra and deep learning to predict topsoil As pollution. We showed that the optimum fully connected neural network model had high robustness and generalization (R-Square<sup> </sup>values of 0.688 and 0.692 on the validation and testing sets). Using the model, the relative As content at regional and global scales were estimated and the human populations that might potentially be affected were determined. We found that China, Brazil, and California are topsoil As-contamination hotspots. Other areas, e.g., Gabon, although also at great risk, are rarely documented, making them potential hotspots. Our results provided guidance for regions that require more detailed detection or timely soil remediation and can assist in alleviating global topsoil-As contamination.
DOI: 10.17632/pr3sdy5vp3
title: Data for: Optimisation model for multi-item multi-echelon supply chains with nested multi-level products

description: The dataset contains the data used in our study "Optimisation model for multi-item multi-echelon supply chains with nested multi-level products". We provide one dataset that describes an automotive production network that comprises of one OEM, four first-tier suppliers and two second-tier suppliers (nodes), their relations (arcs) and their production and logistics processes to fulfil customers demand. The dataset includes information about: - product structure of 28.049 products (e.g. cars, engines, gears ..) - 12 nodes (e.g. car plant, engine supplier, ..), their assigned products and initial inventory as well as maximum inventory - 11 arcs (e.g. lead-time from engine supplier to car plant), their available transport or production capacity for each period and the initial flows - bill of materials - customers demand for each car over a horizon of 14 days
DOI: 10.17632/rts645s4f6
title: Data for: Efficacy of Costing in Banks

description: Any ideal exercise under strategic planning is to be done only on the constructed average balance sheet matched with the actual P&L over a period. But, mostly all the banks derive projections only on the available audited terminal balance sheet and the P&L items. In fact, all banks may evolve for a system generated average balance sheet preferably on a fortnightly/monthly/quarterly/half yearly/yearly basis so as to assess the performance still in a better way. This may help the banks, as a ready reckoner, to arrive a short term or long term planning budget .
DOI: 10.17632/sp3hcpmczn
title: Machine-Learning based root stress calculation model for gears with a progressive curved path of contact  

description: The study aims to investigate the possibility of employing Machine-Learning models in the design of non-involute gears. Such a model would be useful for design calculations of non-standard gears, where there are no available guidelines. Multiple models for numerical prediction were tested, i.e. Linear Regression, Support Vector Machine, K-nearest neighbour, Neural Network, AdaBoost, and Random Forest. The aim is to create a surrogate model to the final element analysis simulations, from which the data for training was collected. The models were firstly validated with the N-fold cross-validation. Further validation was done with new simulations. The results from the simulations and the models were in good agreement. The best-performing ones were Random Forest and AdaBoost. Based on the validation results a Machine-Learning constructed model for calculation of root stress in gears with a progressive curved path of contact is proposed. The model can be used as an alternative to simulations for determining the root stress in real-time, and is able to calculate the stress for gears with different number of teeth, widths, modules, paths of contact, materials, and loads. Therefore, many combinations of gear geometries can be analysed and the most suitable can be chosen.
DOI: 10.17632/8sd3k8f5df
title: Data for: The Miocene Goldfield-Superstition volcanic province, central Arizona, USA: geochemically distinct rhyolite sources, 20.5 to 19 Ma

description: Whole rock compositions of rhyolites in the Miocene Goldfield-Superstition volcanic province, central Arizona, USA
DOI: 10.17632/kjtxphtpt3
title: PROCEDIMENTO: Rotina de Atendimento para Pacientes com Suspeita de Câncer de Pele na Fundação Hospitalar Alfredo da Matta (FUHAM)

description: Estabelece uma rotina de atendimento padronizado para otimizar o diagnóstico, tratamento e acompanhamento de pacientes com suspeita de câncer de pele, priorizando aqueles com tumores de alto risco
DOI: 10.17632/wxzsnw94cs
title: Supplemental files for a multicenter validation study of Mohs micrographic surgery vs wide local excision in primary high-stage cutaneous squamous cell carcinoma

description: Supplemental files
DOI: 10.6084/m9.figshare.5005253.v1
title: Dog and bird tracks in Mud: various sizes and depths

description: Really interesting track surface containing deep and shallow dog footprints, as well as small and large bird tracks on a soft but mud-cracked surface. From Wirral, UK.Photogrammetric model made using COLMAP, mesh and texture in Meshlab.*.obj: model<br>*.mtl: Material file*.png: Texture file*.zip original photos
DOI: 10.17632/m74jb8smwz
title: Elemental Cost Data for New Zealand Transport Projects

description: Under a New Zealand public agency’s cost estimation guidelines, a consultancy organization was required to complete an ‘elemental cost questionnaire’ after a project’s final account had been completed so that data could be incorporated into their ‘Elemental Cost Database’ and used to support the production of future estimates of outturn costs. Cost data from 39 transport projects is presented in a SPSS format.
DOI: 10.17632/vv5695ywmn
title: Dataset ESG and Greenwashing

description: Data used in paper
DOI: 10.17632/ytvwwd52cj
title: Psychological Assessment Dataset for Mental Health Analysis

description: This dataset contains 9,504 individual psychological assessment responses, focusing on indicators related to mood, anxiety, sleep quality, appetite changes, coping mechanisms, and more. It is designed to support research and development in mental health analysis, early disorder detection, and psychological profiling using data science or machine learning techniques.
DOI: 10.17632/2wsdg5y6yt
title: Data for: Multinational Production and Comparative Advantage

description: This is the dataset constructed for the paper "Multinational and Comparative Advantage" by Vanessa Alviarez. The data contains information about the foreign activity of multinational corporations at the source-location-sector level, covering 9 tradable sectors and a non-tradable sector, in 32 countries for the period 2003-2012. For this purpose, we combine data of the activity of foreign affiliates (production, employment, and number of establishments) provided by four major databases: OECD, Eurostat, BEA, and Orbis. The appendix of the paper provides a detailed description of this dataset. The included Readme file describes the included datasets and programs that replicate the tables and figures in the paper.
DOI: 10.17632/56jz53zvs8
title: Data for: Formation of banded chromitites and associated sulphides in the Neoproterozoic subarc deep-crustal magma inferred from the Alaskan-type complex, Egypt

description: Olivine pyroxene chromitite chromite amphibole analyses
DOI: 10.17632/tkv8shghsj
title: Coding file for VR systematic review

description: The coding file used for conducting the VR systematic review
DOI: 10.17632/zgnjyxdmp4
title: Dataset with the results and code from the development of Shapi, an open-ended AI tool for boosting creativity during shape exploration sketching

description: Shapi is a tool developed for assisting the exploration of shapes in early conceptual design. It uses a genetic algorithm, machine learning methods, and stochastic nudges to generate global and local shape variations. The purpose is for these variations to spark new ideas and help identify interesting patterns. A series of case studies are conducted where Shapi is used to explore the shapes of different consumer products and abstract patterns with goals oriented toward industrial design, graphic design, and artistic open-ended exploration. A survey is conducted to evaluate the potential usefulness and perceived value of the results taken from the case studies. This dataset includes the original survey, the survey results, the main outputs from the case studies, and the files to run the algorithm. Refer to the "Read me.txt" file for instructions on how to run the algorithm.
DOI: 10.6084/m9.figshare.12152976.v1
title: Daily Count Data for International Electronic Health Record-Derived COVID-19 Clinical Course Profile: The 4CE Consortium

description: Data for all daily count figures in the 4CE manuscript "International Electronic Health Record-Derived COVID-19 Clinical Course Profile: The 4CE Consortium" (Preprint: https://doi.org/10.1101/2020.04.13.20059691) and the 4CE website about the same manuscript (https://covidclinical.net/publications/paper-01.html).<br>A description of how the data was generated can be found in the manuscript.
DOI: 10.6084/m9.figshare.21310797.v1
title: Robson_GutMicrobes_RawData.xlsx

description: Raw data used for production of all figures
DOI: 10.17632/bhpmhm6pg2
title: Measuring Seaport efficiency using a two stage integrating Malmquist and Resampling DEA model during the period 2018-2020 

description: This study aims to evaluate the top 18 seaports' operational efficiency in the context of Vietnam.
First, the DEA resampling technique is applied to forecast the next three years of data (2018–2023) with Lucas weight prediction.
Second, the DEA Malmquist model is employed to evaluate the productivity change level.
DOI: 10.6084/m9.figshare.4055040.v4
title: Raw data for RT-PCR

description: Raw data for RT-PCR,total 44 samples of T, M, D and Zhoumai 18 genotype, wheat <i>actin</i> gene was used as internal control for normalization.
DOI: 10.17632/v4t54m2mjz
title: Núm. 25 (2022): Filosofía de la violencia. Pensar las violencias contra las mujeres

description: El dossier que se presenta en el número 25 de Textos y Contextos es deudor del trabajo que, durante los dos últimos años, viene desarrollando el Seminario de Investigación Permanente “Filosofía de la Violencia: pensar las violencias contra las mujeres”, de la Universidad Rey Juan Carlos (España). El trabajo se ha centrado en analizar las diversas formas en las que se ha legitimado la violencia ejercida contra los cuerpos de las mujeres. Esto implica, necesariamente, dar cuenta de su carácter poliédrico, su evolución y capacidad de adaptación a los diferentes sistemas políticos, sociales y económicos. La maleabilidad constitutiva de esta violencia supone un auténtico desafío intelectual. Nos invita a pensar, desde una perspectiva interdisciplinar e interseccional, las nuevas formas de violencia, a saber, las que se ejercen en entornos digitales, la cultural y las inherentes a las nuevas lógicas del extractivismo y la mercantilización que conviven y retroalimentan, a su vez, a las formas clásicas. Este es el debate que propicia la edición 25 de Textos y Contextos, que se publica en modalidad continua entre los meses de julio y diciembre de 2022.

Editora del Dossier: Dra. María Ávila Bravo-Villasante, Universidad Rey Juan Carlos, España.

Imagen de portada:

Autoría: “Latente Colectiva”:
Sharon Santiago, Paulina López Pérez, Nayeli Esmeralda Estrada y Rocío Olivares Pilón (México).
Título: "Cansancio"
Técnica mixta, grabado y edición digital, 40 X 30 CM, 2022.

Publicado: 2022-07-01
DOI: 10.6084/m9.figshare.6456215.v1
title: sample.zip

description: sample
DOI: 10.17632/4fhyf4vdnw
title: Database of studies citing Hanushek (1971)

description: The database of studies citing Hanushek (1971) is available in TXT, CSV, RIS, and BibTeX formats.
This survey was conducted on January 27, 2024.
DOI: 10.17632/cbj37wdsdj
title: Mendeley Data

description: The proposed dataset includes human vital sign records sensed by radar and reference sensors (lidar). The dataset covers the operational radar characteristics and human body orientations. This data can enhance algorithms for ambient assisted living, assist search and rescue operations after natural disasters such as earthquakes, develop algorithms for non-contact medical devices, and analyze near-field radiation effects of antennas on vital signs.
DOI: 10.6084/m9.figshare.3526532.v1
title: Appendix A. Methods for estimation of seed dormancy and recruitment parameters.

description: Methods for estimation of seed dormancy and recruitment parameters.
DOI: 10.17632/2k8579fyyv
title: A parallel and performance portable implementation of a full-field crystal plasticity model

description: We have developed a parallel implementation of an Elasto-Viscoplastic Fast Fourier Transform-based (EVPFFT) micromechanical solver to enable computationally efficient crystal plasticity modeling for polycrystalline materials. Our primary focus lies in achieving performance portability, allowing a single EVPFFT implementation to run optimally on various homogeneous architectures, including multi-core Central Processing Units (CPUs), as well as on heterogeneous computer architectures comprising multi-core CPUs and Graphics Processing Units (GPUs) from different vendors. To accomplish this goal, we have leveraged MATAR, a C++ software library that simplifies the creation and utilization of multidimensional dense or sparse matrix and array data structures. These data structures are designed to be portable across diverse architectures through the use of Kokkos, a performance-portable library. Additionally, we have employed the Message Passing Interface (MPI) to efficiently distribute the computational workload among processors. The heFFTe (Highly Efficient FFT for Exascale) library is used to facilitate the performance portability of the fast Fourier transforms (FFTs) computation. The computational performance of EVPFFT is evaluated and presented in terms of parallel scalability and simulation runtime on different high-performance computing (HPC) architectures. The utility of the developed framework to efficiently simulate the micro-mechanical fields in polycrystalline microstructures in engineering applications is discussed.