cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/m53nghfn6w
title: Dataset of effects of CrossFit intervention on students’ physical fitness in physical education

description: Data presented here to evaluate the effects of CrossFit intervention on students’ health-related physical fitness during physical education process through a meta-analysis. The procedure started with systematic screening following PRISMA guidelines using databases: Web of Science, SCOPUS, ScienceDirect, PubMed. Searching strategy and eligibility criteria of the literatures used in the meta-analysis are described. In all, 60 literatures were identified through predefined database and 6 of which fit for eligibility criteria. Meta-analysis was conducted by using RevMan-5.4.1. The random effects model was used to evaluate the effects of CF intervention on students. The outcomes from comparison between experiment and control groups were descripted with studies’ 95% confidence intervals (CI). The heterogeneity within comparison groups was estimated based on p-value of chi-squared (Q) test. I2 value also used for quantifying heterogeneity. Publication bias was estimated by using Rosenthal’s fail-safe number test (Nfs-T). Nfs-T = 19S - N (S = number of studies, p < .05, N = number of studies, p > .05). Tolerance level (TL) = 5K + 10 (K = all included studies). Sensitivity and subgroup analysis were conducted to remove study (studies) with deficiency that might influence effect in pooled group. The procedure illustrated here allows scholars to conveniently access and expand the pooled literatures and to utilize these data in future meta-analyses.
DOI: 10.17632/m7xtkx7g5m
title: Fraudulent and Legitimate Online Shops Dataset

description: The dataset contains fake (fraudulent) e-shops data together with legitimate e-shops data. The dataset is balanced and contains 1140 records of 579 fake (fraudulent) and 561 real (legitimate) online shops. Each record contains the following fields: 
1. Online shop’s URL;
2. Label - {legitimate, fraudulent};
3. Domain length - Number of symbols in the host domain name;
4. Top domain length - Number of symbols in the top domain name;
5. Presence of prefix “www” in the active URL of the online shop, values {0 - no, 1 - yes};
6. Number of digits in the URL;
7. Number of letters in the URL;
8. Number of dots (.) in the URL;
9. Number of hyphens (-) in the URL;
10. Presence of credit card payment, values {0 - no, 1 - yes};
11. Presence of money back payment, including PayPal, Alipay, Apple Pay, Google Pay, Samsung Pay, and Amazon Pay, values {0 - no, 1 - yes};
12. Presence of cash on delivery payment, values {0 - no, 1 - yes};
13. Presence of the ability to use cryptocurrencies for payments, values {0 - no, 1 - yes};
14. Presence of free contact emails, including Gmail, Hotmail, Outlook, Yahoo Mail, Zoho Mail, ProtonMail, iCloud Mail, GMX Mail, AOL Mail, mail.com, Yandex Mail, Mail2World, or Tutanota, values {0 – email address not found, 1 - free email address, 2 - domain email address, 3 – other email address};
15. Presence of logo URL, values {0 - no, 1 - yes};
16. SSL certificate issuer name;
17. SSL certificate expire date;
18. SSL certificate issuer organization name;
19. SSL certificate issuer organization ID, values {1 - Cloudflare, Inc., 2 - Let's Encrypt, 3 - Sectigo Limited, 4 - cPanel, Inc., 5 - GoDaddy.com, Inc., 6 - Amazon, 7 - DigiCert, Inc., 8 - GlobalSign nv-sa, 9 - Google Trust Services LLC, 10 - ZeroSSL, 11 - other organization};
20. Indication of young domain, registered 400 days ago or later, values {0 - ‘old’ domain name, 1 - ‘young’ domain name, 2 - ‘hidden’};
21. Domain registration date;
22. Presence of TrustPilot reviews, values {0 - no, 1 - yes};
23. TrustPilot score, values - real number from 0 to 5 or -1 if no reviews are available;
24. Presence of SiteJabber reviews, values {0 - no, 1 - yes};
25. Presence in the standard Tranco list, values {0 - no, 1 - yes};
26. Tranco List rank, values - integer number from 1 to 1000000 or -1 if domain is not listed in the Tranco list.
DOI: 10.17632/x9rmwypjdf
title: Dataset for Low-resource ear, nose, and throat (ENT) disease Cost of treatment: Evidence from a two-centre cross-sectional study

description: This data assessed the ear, nose, and throat (ENT) disease cost of treatment in a resource-limited setting.
We conducted a prospective review of patient hospital records, and using various structured data collection instruments, we calculated the mean direct cost of treatment and out-of-pocket (OOP) expenditure for patients under the different treatment schemes, adjusted for inflation and excluding surgical procedures and hospital admission charges. Further, we applied a binary logistic regression model to understand the determinants of OOP expenditure. Our findings demonstrated that OOP expenditure for ENT disease treatment was high for a population experiencing high levels of poverty, limiting access to high-quality medical care. We concluded that while initiatives such as affordable health insurance schemes hold potential, additional measures, including enhanced availability of medication, were essential for ensuring equitable access to quality care and mitigating the burden of treatment costs on patients.
In this available dataset, patients were coded 1 if they were treated under low-cost, 2 if treated under high-cost, and 3 if treated under the National Health Insurance Scheme. The children's hospital was labeled 1 and the adult hospital, 2. To uphold the confidentiality of participants, we also coded the patient's occupation, highest level of education attained and marital status, and these will remain anonymous. The costs expressed in this dataset are in Zambian Kwacha, before adjustment for inflation. In our final report, we converted to equivalent United States dollars (US$). [US$ 1 = K 20.00] and adjusted for Bank of Zambia inflation of 9.9% as of March 3, 2023 using the formula ‘Real price = Nominal price / (1 + inflation rate)’.
DOI: 10.6084/m9.figshare.20092598.v1
title: Zircon Hf and O database

description: Compiled database of zircon Hf and zircon δ18O. References included.
DOI: 10.6084/m9.figshare.28252145.v1
title: Oryza australiensis species-specific gene and protein candidates

description: <i>O. sativa</i> subsp. <i>japonica </i>Illumina read data was extracted from the NCBI (SRR15967546 & SRR15967547) and mapped against the <i>O. australiensis </i>gene list to identify candidate unique coding sequences. Data was mapped using the Map Reads to Reference tool (length fraction: 0.9 and similarity fraction: 0.9) on the QIAGEN CLC Genomics Workbench 24.0.2. <i>O. australiensis</i> genes that were not mapped with any <i>O. sativa</i> Illimuna reads were designated as ‘unmapped’ genes and were functionally annotated with OmicsBox 3.1.11. OmicsBox was used with FatiGO to conduct a two-tailed Fisher’s Exact test to assess for enriched GO functions in the unmapped genes compared to the overal<i>l O. australiensis</i> gene set. .The protein sequence data for both <i>O. australiensis</i> and <i>O. sativa</i> (Osativa323v7 protein file Phytozome). were filtered for the longest isomer and then analysed for orthologous and unique protein clusters within the O. australiensis genome using OrthoVenn3 (parameters: OrthoFinder algorithm, E-value: 1e-2, Inflation value:1.50) (Sun et al., 2023, Emms and Kelly, 2019). GO enrichment analyses and annotation for unique <i>O. australiensis</i> clusters containing three or more protein sequences were automatically run through the Orthovenn3 platform.<br>
DOI: 10.15468/dl.n28ka6
title: Occurrence Download

description: A dataset containing 4866 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 Paspalum dilatatum Poir.",
 "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 4866 records from 217 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013049-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25359151.v2
title: Deep learning reveals hotspots of global oceanic oxygen changes in the 21st century

description: This is a global ocean-scale dissolved oxygen dataset derived from a deep learning method using hydrometeorological and biogeocheical driver factors. The dataset provides yearly estimates of dissolved oxygen concentration during 2003 to 2020 throughout the whole water column, with a spetial resolution of  0.25° × 0.25°. The unprecedented high-resolution dataset on dissolved oxygen provides information on their spatial distribution and temporal trend, making it a significant contribution to understanding global warming and anthropogenic stressors.
DOI: 10.6084/m9.figshare.27683403.v1
title: <b>Ungulate herbivory affects grassland soil biota β-diversity and community assembly via modifying soil properties and plant root traits</b>

description: Ungulate herbivory, a widespread and complex disturbance, shapes grassland biodiversity and functions primarily through three mechanisms: defoliation, trampling and excreta return. However, the specific effects of these mechanisms on soil biodiversity and community assembly remain unclear.We aimed to examine the effects of defoliation, trampling, and excreta return on the β-diversity and community assembly of soil organisms (bacteria, fungi, and nematodes) under different scenarios (moderate and high ungulate densities), using a field experiment simulating ungulate herbivory. We also investigated how these three aspects of grazing influence soil biota β-diversity and community assembly by affecting plant aboveground properties, belowground root traits, and soil abiotic factors. The R code file includes 1) the code for the analysis of beta diversity, beta-deviation, plant community and soil physicochemical property data and 2) the code for drawing the figures in the manuscript.
DOI: 10.6084/m9.figshare.28194026.v1
title: cholec181 dataset for instrument-tissue interaction detection for surgical scene understanding

description: label includes：[ instrument， instrument detection， tissue，tissue detection，instrument-tissue interaction]map list:ins_dict = {1:'grasper', 2:'hook'}<br>tis_dict = {0:'null', 1:'gallbladder', 2:'gut', 3:'liver', 4:'omentum', 5:'specimen-bag'}<br>Please cite the following paper:Lin, W., Hu, Y., Fu, H., Yang, M., Chng, C. B., Kawasaki, R., ... & Liu, J. (2024). Instrument-tissue Interaction Detection Framework for Surgical Video Understanding. IEEE Transactions on Medical Imaging.
DOI: 10.15468/dl.4dvcvn
title: Occurrence Download

description: A dataset containing 52869 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hieracium sabaudum L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 52869 records from 482 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013033-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/b7w2gkrwwz
title: Dataset: Vision and Mission Statements Analysis of 100 Best Global Brands

description: This dataset contains an analysis of the vision and mission statements of 100 Best Global Brands of the year 2020 ranked by Interbrand. The vision and mission statements are analyzed for the desired characteristics and components by employing a content analysis technique. The observations are recorded as binary (1/0), where 1 shows the existence of desired variable in the vision and mission statement and 0 otherwise. The dataset includes a total of 41 variables and 4100 observations.
DOI: 10.17632/w92yzsvv2w
title: 由大卫玻姆对传播的分类论媒介研究法

description: This data is a conceptual mind map drawn on from David Bohm's On Dialogue. I used Chinese for the conceptual framework to serve the inter-cultural and dual lingual needs. And in the transition of media and media types in the current environment. 文本是所有媒介承载的基本要素。媒介发展在当今逐渐形成多功能复杂空间和时间形态。媒介属性形态通过技术和分层文本的发展形成了语言媒介的多样性。本研究是构建文本研究的方法论研究，是对媒介研究的基础研究。本研究回答的是如何通过观念进行媒介研究。“观念”一词源自英文“concept”，其中“con”表示“整合”，“cept”表示感知。观念的意思就是整合感知，或者说是对感知的整合。物质承载观念，任何文本均需物质承载。也就是说传播是观念和物质共同作用。文本不是文学，从物质层面此研究是对中国传媒大学出版社出版的《帝国与传播》的继承性研究，也就是微物质的继承和显物质的扬弃。微物质就是能量，即人造环境中的能源。现代语境背景文本开始大量由能源设备和相关基础设施而非纸张承载。文本观念独立于介质，区别于艺术生产的技艺和材料统一性。 The second part of the data is an artwork exhibited in "The Travelling Artwork" in 2011. It was created in awareness raising of the catastrophic pollutions from the past. Some contents from the artist's personally conducted research were not made explicit due to political concerns.
DOI: 10.6084/m9.figshare.27620208.v1
title: <b>Tree species diversity reduces </b><b>priming effects</b><b> in a subtropical forest</b>

description: Soil organic carbon (SOC) is an important terrestrial C pool and increasing it contributes to global climate change mitigation. While tree planting can increase soil C content through new plant C inputs to soil, it may also enhance the mineralization of native SOC, and counterbalance net soil C sequestration. It has been often shown that high tree species diversity can result in increased plant productivity and, subsequently high C inputs to soil. However, whether this translates into net SOC accumulation or increased decomposition (‘priming’) of existing SOC remains unclear. Here, we determined the influence of tree species diversity on SOC priming in a subtropical forest by conducting <sup>13</sup>C–glucose labeling experiments. Priming of SOC decreased as tree species diversity increased, indicating that soil microbial communities in species–rich forest preferentially mineralized added glucose rather than SOC. Priming was driven by microbial community assemblages with low growth yields and high C degradation-related gene abundance, which were more dominant in species-poor forest. We further reveal an interaction with soil mineralogy, as lower priming in species-rich forest was accompanied by greater relative abundance of mineral–organic associations, offering protection of SOC from mineralization. Our results demonstrate that plant diversity can result in linked feedbacks on soil microbial communities and soil mineralogy, thereby modulating priming and ultimately determining soil C sequestration.
DOI: 10.6084/m9.figshare.28295321.v1
title: Froom Streets to Statistics - Open material (data, codebook, r script)

description: Data, codebook, and R script made available as part of the submission process for the paper Streets to Statistics to the journal Field Methods.
DOI: 10.6084/m9.figshare.8360408.v2
title: Diagnostics.xlsx

description: The newly inaugurated research database for Electrocardiogram (ECG) signals, which was created under the auspices of Chapman University and Shaoxing People's Hospital (Shaoxing Hospital Zhejiang University School of Medicine), aims to conduct the study of cardiovascular biomedical signals via extensive computer simulations. Certain types of cardiovascular conditions, such as atrial fibrillation, have wide and severe impact on public health, quality of life, and medical expenditures. The non-invasive test, the long term ECG monitor is a major and vital diagnosis tool for detecting such conditions. However, such practice generates considerable amount of data, and presents itself as very challenging since analyzing by experts in the field can be dramatic consumption of time and cost. As such, obtaining the correct and most efficient diagnosis algorithm is of great important to public health. Thanks to the development of modern machine learning and statistical analysis, the more data with creditable labels are available, the better algorithm will be achieved. Thus, we propose this dataset contains 10,646 patients 12-lead ECGs with 500 Hz sampling rate and including 11 common rhythms and 67 conditions, which are labeled by professional experts. The dataset can be widely applied for artificial intelligence or machine learning algorithm research, arrhythmia and other cardiovascular conditions analysis, biomedical signal study, and cluster or classification statistical study.
DOI: 10.6084/m9.figshare.20001326.v3
title: BWD: Breathing Waveform Dataset

description: Breathing Waveform Dataset collected with FMCW radar
DOI: 10.6084/m9.figshare.28517210.v2
title: Data from: A guild-based framework for restoring plant diversity on reservoir shorelines through active plant introduction

description: This dataset accompanies the article "A guild-based framework for restoring plant diversity in reservoir shorelines through active plant introduction". It includes 22 restoration sites established through active plant introduction, as well as 6 spontaneously colonized sites. This dataset serves as a resource for testing the proposed guild-based framework along the shorelines of the Three Gorges Reservoir (TGR).
DOI: 10.17632/pycv47nk3p
title: A multiperspective view of the Italian Universities

description: We provide data describing the 78 largest Italian Universities from several perspectives, including scientific research, administrative and economic point of view. In particular, associated with each University, we have the following data.
 (a) The list of the 30 most representative research keywords, automatically extracted from titles, abstracts and other possible metadata of all the research publications available for that University in Scopus database at October 2022.
 (b) The Extended_name of the University, Status, University_Type, State_status, number of Managerial and Administrative Staff, Teaching Staff and Researchers, Phd Diplomas, Phd Enrollments, Enrolled Undergraduates, Enrolled Graduates, Graduates, Master I Lv Graduates, Enrolled Master's Degree I Lv, Master II Lv, Graduates Enrolled, Master II Lv, Graduates Specialistic Schools and Enrolled Specialistic Schools were extracted from USTAT database for the years 2016-2018.
 (c) The data of educational income, Income from Commissioned Research and Technology Transfer, Income from Research with competitive funding, Own Income, Contributions from others (private), Contributions from others (public), Contributions from universities, Contributions from the European Union and the Rest of the World, Contributions from other local governments, Contributions Regions and Autonomous Provinces, MIUR and other central government grants, Operating Costs, Current Management Costs, Managerial and administrative personnel costs, Research and teaching staff cost, Cost of Lecturers and Researchers, Cost Scientific Collaborators, Cost of Contract Teachers, Cost of Language Experts, Other research and teaching personnel costs, Personnel Costs, Scientific equipment, Concessions, licenses and trademarks, Patent rights are extracted from the unique University Balance Sheet of each university for the years 2016-2018.
 These data were of difficult availability; they have been extracted from several heterogeneous sources and have been automatically checked, cleaned from errors, integrated, missing values have been imputed as much as possible. However, due to large missing portions in the sources, they still contain several missing parts. 
 Nonetheless, they represent a powerful snapshot of the Italian Universities, and can be of interest to researchers for many analyses of the Italian academic world. All the sources of the openly available data are provided.
DOI: 10.17632/v2ksr58dcv
title: Temporal Increase in Neutralization Potency and Reduced Escape of Viral Variants to SARS-CoV-2 Antibodies after Sputnik V Vaccination

description: Recent studies have shown temporal increase of neutralizing antibody potency and breadth to SARS-CoV-2 variants in convalescent individuals. Here, we found a similar process after Sputnik V vaccination. We examined longitudinal antibody responses and viral neutralizing capacity to variants of concern (VOC: Alpha, Beta, Gamma and Delta) and a broadly spread variant of interest (VOI: Lambda) in volunteers up to 6 months of receiving Sputnik V vaccine in Argentina. A collection of 1800 serum samples obtained between January and August 2021 were used. The analysis indicates that while anti-spike IgG levels significantly wane over time, neutralizing potency against the original SARS-CoV-2 and VOC increase within four months of vaccination, suggesting antibody maturation. This increase was more evident for Beta and Gamma variants, which showed the highest ability for neutralization escape. Our observations suggest that protection increases over time after Sputnik V vaccination as a consequence of antibody maturation, resulting in improved potency of antibodies to viral escape mutations.
DOI: 10.6084/m9.figshare.5280070.v2
title: Efficient Estimation of the Nonparametric Mean and Covariance Functions for Longitudinal and Sparse Functional Data

description: We consider the estimation of mean and covariance functions for longitudinal and sparse functional data by using the full quasi-likelihood coupling a modification of the local kernel smoothing method. The proposed estimators are shown to be consistent, asymptotically normal, and semiparametrically <i>efficient</i> in terms of their linear functionals. Their superiority to the competitors is further illustrated numerically through simulation studies. The method is applied to analyze AIDS study and atmospheric study. Supplementary materials for this article are available online.
DOI: 10.17632/bkzck8np2g
title: Multistage hydration during oceanic serpentinisation revealed by in situ oxygen isotope and trace element analyses

description: This data contains in situ electron probe micro analyses, laser-ablation ICP-MS and secondary ionisation MS analyses of serpentine, as well as bulk rock Sr isotope measurements of serpentinites. The samples are from Ocean Drilling Program (ODP) Leg 173 Site 1070 from Iberia and Leg 210 Site 1277 from Newfoundland.
DOI: 10.17632/cmt3nd67fg
title: Electricity usage dataset

description: The electricity usage dataset of the Mirae-hall at Seoul National University of Science and Technology includes records of electricity usage, temperature, dew point temperature, ground temperature, precipitation, and wind speed, with a total of 16,675 rows. Similarly, for continual learning, we assume that a new task accesses the system sequentially every month.
DOI: 10.17632/ddxtgstx5s
title: Dataset for Mixed Layer Depth (MLD) and Barrier Layer Thickness (BLT) Influence Vertical Profiles of PAHs in the South China Sea

description: This dataset includes information on the locations, temperature, salinity, Chl-a, DOC, POC, and PAHs in the sampling layers.
DOI: 10.17632/k6g7pjdnk7
title: Data for: Manufacturing process sequence design under consideration of ecological and economic impacts

description: The dataset contains supplementary data for the contribution Manufacturing process sequence design under consideration of ecological and economic impacts intended for publication in a special issue of PROCEDIA CIRP of the 30th CIRP Design conference. The dataset is the basis of the case study presented in the contribution. It contains the data used to calculate the costs and monetary value of the manufacturing process sequence analyzed in the case study. The manufacturing process sequence consisted of the four unit processes grinding, drag finishing, PVD coating, peripheral milling. The monetary value was calculated by using EPS 2015d and Lime3. Costs were calculated based on the material flow cost accounting according to ISO 14051.