cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/sz97d66x25
title: Supplemental Table 1. Post-treatment erythema rates by MED, Fitzpatrick skin type, disease type, and areas treated

description: Post-treatment erythema rates by MED, Fitzpatrick skin type, disease type, and areas treated
DOI: 10.6084/m9.figshare.24040563.v7
title: <b>BigDataAD Benchmark Dataset</b>

description: The largest real-world dataset for multivariate time series anomaly detection (MTSAD) from the Hologres AIOps system in the Alibaba Cloud platform.All the metrics and labels in our dataset are derived from real-world scenarios. All metrics were obtained from the Hologres instance monitoring system and cover a rich variety of metric types, including <b>CPU usage, queries per second (QPS) and latency</b>, which are related to many important modules within Hologres. We obtain labels from the ticket system, which integrates three main sources of instance anomalies: user service requests, instance unavailability and fault simulations . User service requests refer to tickets that are submitted directly by users, whereas instance unavailability is typically detected through existing monitoring tools or discovered by Site Reliability Engineers (SREs). Since the system is usually very stable, we augment the anomaly samples by conducting fault simulations. Fault simulation refers to a special type of anomaly, planned beforehand, which is introduced to the system to test its performance under extreme conditions. All records in the ticket system are subject to follow-up processing by engineers, who meticulously mark the start and end times of each ticket. This rigorous approach ensures the accuracy of the labels in our dataset.
DOI: 10.17632/bk5hgjv3xf
title: Data for: Utilization of metallurgical slag with presence of novel CaO-MgO-SiO2-Al2O3 as a composite sorbent for wastewater treatment contaminated by cerium

description: The migration characteristics of the Ca2+, Mg2+, Si4+, Al3+ cations in aqueous solutions determined by their concentrations in the model solution with specified intervals on the Perkin Elmer Optima 2100DV atomic emission spectrometer.
DOI: 10.6084/m9.figshare.12982421.v3
title: Facilitation in mangrove ecosystem: The role of herbaceous species in seedling recruitment and growth patterns of <i>Avicennia germinans</i> in a recovering mangrove in Northeastern Brazil - Supplementary data

description: This is the supplementary data to the article "Villavicencio et al. (2024) Facilitation in mangrove ecosystem: The role of herbaceous species in seedling recruitment and growth patterns of <i>Avicennia germinans </i>in a recovering mangrove in Northeastern Brazil", published in Acta Botanica Brasilica, v. 38: e20220283. https://doi.org/10.1590/1677-941X-ABB-2022-0283.<br>In this study we established five plots with 4 m<sup>2</sup> each (2 x 2 m each plot) in a patch of the herbaceous plant <i>Batis maritima, </i>five plots with 4 m<sup>2</sup> each (2 x 2 m each plot) in a patch of the herbaceous plant <i>Sesuvium portulacastrum</i>, and five plots with 4 m<sup>2</sup> each (2 x 2 m each plot) in an area without herbaceous plants. We then monitored the plots from 2017 to 2019 to evaluate the role of the herbaceous plants in increasing the recruitment of seedlings of the mangrove tree <i>Avicennia germinans.</i> We measured abiotic factors inside the plots and the density of seedlings in each plot along our study. The raw data upon which we made our analyses are available in the supplementary spreadsheet stored here.Densities and growth rate of <i>Avicennia germinans</i> in the presence of <i>Batis maritima,</i> <i>Sesuvium portulacastrum</i>, and in the absence of any other plant species between 2017 and 2019 in a disturbed area was recorded and salinity, temperature, organic matter and humidity data for each plot are included.<br>For further details, please, consult our full article.
DOI: 10.6084/m9.figshare.21542406.v1
title: Supplementary Material for: Performance of Sequentially Bilateral Cochlear Implanted Children Who Speak Mandarin

description: <b><i>Introduction:</i></b> Cochlear implantation is an effective treatment for children with deafness. Although the binaural effect of bilateral cochlear implantation on sound localization and speech perception in noisy environments has been demonstrated, the outcome and performance predictors of the second cochlear implant (CI2) remain uncertain for patients receiving sequential implantation. This study evaluated the hearing performance between the first cochlear implant (CI1), CI2, and bilateral cochlear implants (CI1+2) among children with sequential bilateral cochlear implantation. <b><i>Methods:</i></b> This single-center retrospective study enrolled 14 children and adolescents aged 8–18 years who underwent sequential bilateral cochlear implantation with a mean interimplant interval of 8.2 years. The Mandarin Lexical Neighborhood Test (M-LNT), the Mandarin Hearing in Noise Test (M-HINT), and the Comprehensive Cochlear Implant Questionnaire (CCIQ) scores of participants were evaluated. Mann-Whitney U tests and Spearman correlation analysis were performed to analyze factors associated with CI2 performance. <b><i>Results:</i></b> In the 1-year follow-up period after CI2 implantation, although the M-LNT mean score for CI2 was significantly lower than that for CI1, the M-LNT scores for CI2 and CI1+2 improved significantly over time. In a noisy environment, CI1+2 significantly outperformed CI1 in the M-HINT. The M-LNT score for CI2 was significantly associated with preoperative bimodal fitting, residual hearing of the second implanted ear, and CI2 daily-usage time. Specific to CI2, the CCIQ showed improvement 1 year after CI2 implantation. <b><i>Conclusion:</i></b> CI2 improved the hearing performance and quality of life of recipients with longer interimplant intervals, especially in noisy environments, and its efficacy was associated with preoperative bimodal fitting and regular daily use.
DOI: 10.17632/xk4sdppkwy
title: Field study on the effects of microbial substrate application on rice straw degradation

description: The data describes the raw data collected from a field study conducted to analyse the effects of microbial substrate application on rice straw degradation. Soil analysis was conducted from pre-season and continued throughout the rice planting season.
DOI: 10.17632/55ynhhv7sp
title: Human approach trials on tagged rhino raw data

description: We ran a human approach experiment, where one researcher would walk towards the rhino from crosswind while another recorded the rhino’s behaviour. We recorded the number of oxpecker carried, the rhinos’ behaviour upon approach, and the distance of the researcher when the rhino either became vigilant or if undetected it became unsafe to get any closer. We predicted that oxpecker would improve rhino’s ability to detect humans and from further away. Our approach trial experiment found that rhinos without oxpeckers detected a human approaching only 23% of the time. Due to the bird’s alarm call, those with oxpeckers detected the approaching human in 100% of our trials and at an average distance of 61 meters- nearly four times further than when rhinos were alone. In fact, the more oxpecker the rhino carried, the greater the distance at which a human was detected. We also found that when rhino perceived the oxpecker alarm call, it nearly always re-oriented itself to face downwind—their sensory blind spot. Once a rhino checked its blind spot, it either ran upwind out of view, walked downwind to investigate, or maintained its position until the field team moved out of sight. This raw data set of human approach trials consists of 5 worksheets detailed below: 1. Human approach trials without oxpecker present: Data used to develop Figure 2A 2. Human approach trials with oxpecker present: Data used to develop Figure 2A 3. Oxpecker number versus rhino human detection distance: Data used to develop Figure 2B. 4. Rhino orientation with and without oxpeckers: Data used to develop Figure 2C. 5. Summary of rhino orientation analysis: See Figure 2C
DOI: 10.17632/x79p692kkv
title: SD & DM processes

description: Spatial Density and Decision making recognition processes according to the RPD model (Klein, 1998).
DOI: 10.6084/m9.figshare.14794863.v1
title: Supplementary Files FiC

description: Python, PMZ, and SMI files of 1) the in-house version of the script Fragmenter, 2) the overlapping pairs of pharmacophore models generated for each protein included in the study, and 3) a batch of the extensive fragments (EXT), non-extensive fragments (NON) and original parent natural products (NPs) before and after the pharmacophore-based VS, respectively.
DOI: 10.6084/m9.figshare.1092482.v1
title: OpenBLAS Windows 64bit

description: OpenBLAS-0.2.10rc1 binaries for Windows 64bit. Includes debug build.
DOI: 10.6084/m9.figshare.26704597.v1
title: <b>Evaluating the Impact of Sibling Relationships on Peer Dynamics in Preschool-aged Children</b> original data_child.xlsx

description: The study evaluated the quality of preschool-aged children’s sibling relationships and their association with peer interactions employing social network analysis. Data were collected through peer nominations and parent surveys from 477 children and 272 parents in Nanning City.
DOI: 10.17632/4my9tgjr7j
title: FINANCIAL PERFORMANCE OF BANK — A TAXONOMIC APPROACH BASED ON CAMELS PARAMETER & ITS MAJOR DETERMINANT

description: This study utilized the ‘CAMELS’ parameter as identified by Narashimam Committee to judge the financial performance of selected 40 banks during the study period 2006 to 2018. Key parameters considered here to judge the financial performance of banks are Capital Adequacy Ratio (CAR), Non-performing Assets (NPA), Return on Assets (ROA), Return on Equity (ROE), Return on Investment (ROI), Cost of Deposits (COD), Net Interest Margin (NIM), Burden-asset ratio (BAR) and Credit-deposit Ratio (CDR). This paper has constructed a performance index of selected banks using Taxonomic approach. Constructed Financial performance index of these banks are regressed on following parameters, namely, bank size (Log assets), Interest income-loan ratio, Non-interest expenses-asset Ratio, equity-asset ratio to judge whether financial performance of banks depend on bank size, operating efficiency, nonbanking performance and solvency of these banks. Results showed that capital adequacy ratio continued to be very high for foreign banks in comparison with private banks. CAR of public sector banks were usually in the lower side. Public Sector banks have more NPA and foreign banks have low level of NPA in India. This study inferred that desperate credit-mobilization drive may be detrimental for financial performance of banks. Panel regression estimate had inferred that financial performance of these banks has improved with the increase in size of banks as well as equity holding of these banks. Expenses other than interest had affected the financial performance adversely though interest incomes of these banks did not have any impact on performance of these banks.
DOI: 10.6084/m9.figshare.22491541.v2
title: External data associated with: ' Uncoupled evolution of the Polycomb system and deep origin of non-canonical PRC1 '.

description: Dataset S1 Proteome database. Table containing all eukaryotic species information from which sequences are used to construct the phylogenetic trees in SI Fig. S1A-H. Dataset S2 Manually curated HMM of RING1, PCGF, EZH, RBBP, EED, and SUZ12. Dataset S3 Materials that were used for the structural alignment. Includes TM align files, HHpred outputs and pdb files of excised C-terminal ß-hairpins. Dataset S4 Materials and Data that were used for the homology analyses of CBX, PHC, RYBP, and SUZ12. For CBX and RYBP, HMM profiles and HMMsearch outputs are provided. For PHC, SAM and MBT HMM profiles and searches, and newick files of our phylogenetic trees are provided. For SUZ12, HMM profile and multiple sequence alignment are provided. Dataset S5 Alphafold structures of putative sequences of RING and PCGF and the newly identified RYBP orthologs. Dataset S6 Blastoutputs of RING, PCGF, EZH, EED, and RBBP. Dataset S7 Multiple sequence alignments used to build phylogenetic trees and newick files for EZH, EED, RBBP, RING and PCGF. Dataset S8 Fasta sequence files of our orthologous groups of the core subunits of PRC1 and PRC2, and newly identified ncPRC1 accessory subunits.
DOI: 10.17632/47hy8yyky5
title: Covid Twitter Emotion Analysis Data

description: Twitter data was collected using Twitter’s Application Programming Interface(API) and Tweepy, a python library to access the twitter API. Certain keywords related to COVID’19 like Coronavirus, ncov, Wuhan, China, Covid-19, Epidemic, Pandemic, SocialDistancing, etc. were used to collect the tweets. Only the tweets that were in English and the ones that had a geo-tag were collected. During the exploratory data analysis, we noticed that a number of tweets consisted of only certain words and not proper sentences and analyzing the emotion of such tweets might not give us a proper overview of the emotions. Thus, only the tweets with at least 6 words in them were used. This significantly reduced the number of tweets collected. Finally, we had over 1 million tweets over the span of February, March, April, May, and June. The tweets were then further processed to remove all the HTML text, ‘@’ mentions, URL links, and #hashtags. The data was analyzed using a machine learning model and tweets were categorized into various emotions. The dataset provides the count of tweets per country per emotion for 5 months.
DOI: 10.17632/6gb9gfm3dw
title: Evaluation of classical correlation functions from 2/3D images on CPU and GPU architectures: Introducing CorrelationFunctions.jl

description: Correlation functions are becoming one of the major tools for quantification of structural information that is usually represented as 2D or 3D images. In this paper we introduce CorrelationFunctions.jl open-source package developed in Julia and capable of computing all classical correlation functions based on imaging input data. Images include both binary and multi-phase representations. Our code is capable of evaluating two-point probability S_2, phase cross-correlation ρ_ij, cluster C_2, lineal-path L_2, surface-surface F_ss, surface-void F_sv, pore-size P and chord-length p distribution functions on both CPU and GPU architectures. Where possible, we presented two types of computations: full correlation map (correlations of each point with other points on the image, that also allows obtaining ensemble averaged CF) and directional correlation functions (currently in major orthogonal and diagonal directions). Such an implementation allowed for the first time to assemble a completely free solution to evaluate correlation functions under any operating system with well documented application programming interface (API). Our package includes automatic tests against analytical solutions that are described in the paper. We measured execution times for all CPU and GPU implementations and as a rule of thumb full correlation maps on GPU are faster than other methods. However, full maps require more RAM and, thus, are limited to available RAM resources. On the other hand, directional CFs are memory efficient and can be evaluated for huge datasets – this way they are the first candidates for structural data compression of feature extraction. The package itself is available through Julia package ecosystem and on GitHub, the latter source also contains documentation and additional helpful resources such as tutorials. We believe that a single powerful computational tool such as CorrelationFunctions.jl presented in this paper will significantly facilitate the usage of correlation functions in numerous areas of structural description and research of porous materials, as well as in machine learning applications. We also present some examples as applied to ceramic, soil composite and oil-bearing rock samples based on their 3D X-ray tomography and 2D scanning electron microscope images. Finally, we conclude our paper with discussion of possible ways to further improve presented computational framework.
DOI: 10.17632/dzdnwnxyrv
title: Gene body methylation in Myxozoa

description: Oxford-Nanopore MinION sequencing, is a PCR-free method that retains epigenetic markers and provides direct quantitative information about DNA methylation. Using this long-read sequencing technology, we present complete and near-complete assemblies of five myxozoan genomes free from host DNA contamination. These genomes did not match any existing sequences in public databases, suggesting a need for updated sequence data for these elusive parasites. The quality of the assemblies surpassed that of existing assemblies, and methylation analysis indicated the presence of DNA methylation in the GC-rich regions within gene bodies. Enzymes related to DNA methylation were also identified in the genomes. Experimental and in silico analyses revealed variable methylation levels across genomes, suggesting a "transcription switch" mechanism regulating gene expression. Overall, this study highlights the importance of long-read sequencing methods to better understand epigenetic processes in parasites like myxozoans. The findings challenge existing paradigms and could inform new strategies to control myxozoan fish pathogens.
DOI: 10.6084/m9.figshare.13061249.v4
title: Gesticulator: Baseline comparison study results

description: Results from the user study comparing the proposed model with the state-of-the-art in Gesture Generation for the ICMI 2020 paper "Gesticulator: A framework for semantically-aware speech-driven gesture generation"<br>
DOI: 10.6084/m9.figshare.23561328.v1
title: Prevalence of Dyslipidemia, Hypertension, and Diabetes among Adivasi and rural population in a South Indian forested region data set

description: The prevalence of dyslipidemia, hypertension, and diabetes among the Adivasi and rural population in a South Indian forested region is part of a larger study towards health equity and transformative action on tribal health (THETA). At the Karnataka site, we collected a biomedical component of data from a subgroup. In this component, we focused on non-communicable diseases (NCDs), which include diabetes, hypertension, and dyslipidemia.
DOI: 10.6084/m9.figshare.7131740.v1
title: Assessment of cephalometric characteristics in the elderly

description: This cross-sectional study aimed at assessing the cephalometric characteristics in the elderly, taking into account differences between genders, age ranges, ethnic groups and dental aspects. The sample consisted of 250 elderly subjects of both genders (163 female, mean age: 68 yr.; 87 male: 70.4 yr.). Conventional lateral cephalograms for cephalometric analysis were scanned and analyzed by Dolphin Imaging software 11.5. The statistical treatment of the data evaluated the influence of gender and age range variables (independent ttest), as well as ethnic group, facial profile, and dental characteristics (one-way ANOVA), on cephalometric measurements. A confidence interval of 95% and level of significance of 5% were considered for all the tests performed. The results revealed: 1) The cephalometric measurements evaluated showed significantly lower values for the female gender; 2) a significant decrease in the cephalometric values was observed in relation to the growth pattern, with the advancement of age; 3) significant cephalometric differences were observed between the ethnic groups and the facial profiles; 3) dentulous patients had greater absolute values for all the components evaluated, followed by the individuals with partial dental losses and by those who were edentulous. It may be concluded that the cephalometric alterations observed in this study are inherent to facial maturity, and that they represent specific characteristics regarding each of the variables evaluated. These modifications must be taken into account when planning the treatment for younger patients, to minimize the modifications arising from the natural aging process.
DOI: 10.17632/dt8ws9s72j
title: The first Miocene fossils from coastal woodlands in the southern East African Rift

description: Datasets used in some of the comparative analyses carried out in 'The first Miocene fossils from coastal woodlands in the southern East African Rift'  manuscript. The files included here are:

1) shark_morphometric_data.txt: 2D landmark data used in our geometric morphometric analyses of shark teeth
2) hyracoid_morphometric_data_m3.dta: 3D landmark data used in our geometric morphometric analyses of hyracoid third lower molars
3) hyracoid_morphometric_data_teeth_row.dta: 3D landmark data used in our geometric morphometric analyses of hyracoid dental rows
4) hyracoid_phylogeny_data.nex: Morphological matrix used in our phylogenetic inference analyses of hyracoids

Additional methodological details about how the above data were used can be found in the iScience publication and associated supplementary material. 
If using any of these datasets, please cite the iScience publication.
DOI: 10.17632/s24y42424b
title: Supplemental Files: Melanoma In-Situ and Invasive Melanoma of the Vulva: an Analysis of the National Cancer Database

description: Full methods, results, discussion, and tables/figures for Melanoma In-Situ and Invasive Melanoma of the Vulva: an Analysis of the National Cancer Database
DOI: 10.17632/svg77p57gk
title: Toxicity of cadmium on dynamic human gut microbiome cultures

description: Cadmium (Cd) is a heavy metal toxic to the gut microbiome. In this study, we cultivated two human gut microbiomes (A and B) in bioreactors with Cd at 0 and 20 ppm for 7 days to investigate effects of Cd on the gut microbiome and to isolate Cd-tolerant bacteria autochthonous to the gut. Cd showed profound toxicity, abolishing butyrate production, depleting microbes in microbiome B, and simplifying microbiome A to a small Cd-tolerant community after 2 d of incubation. When spiked into the Cd-sensitive microbiome B, the Cd-tolerant community from microbiome A and isolates from that community worked synergistically with microbiome B to enhance butyrate production and maintained this synergism at Cd concentrations up to 5 ppm. Bacteria isolated from this Cd-tolerant community included Enterococcus faecium, Enterobacter cloacae, Lactococcus lactis, and Lactobacillus taiwanensis species. This work demonstrates a straightforward method for identifying Cd-tolerant bacteria autochthonous to the human gut that synergize with the microbiome to protect against Cd-related loss of butyrate production.