cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26341099.v1
title: Data on the effect of combined pruning and thinning treatment on the phenotypes and biomass of selected trees and shrubs under exclosure management in Tigray, Ethiopia

description: This study investigated the effects of combined pruning and thinning on the phenotype and biomass of four tree and shrub species (Vachellia etbaica, Juniperus procera, Olea europaea subsp. cuspidata, and Euclea racemosa) in exclosures in Tigray, Ethiopia. The study aimed to evaluate the impact of pruning and thinning on the growth and biomass of these species, as well as the regeneration of vegetation, including grass cover and new plant species.<br>The researchers applied four treatments: control (no treatment), 25% pruning and thinning, 35% pruning and thinning, and 50% pruning and thinning. Measurements were taken over a period of three years to assess the effects on diameter at breast height and stump height, height, crown diameter, biomass, and seedling growth.<br>The results showed that pruning and thinning at varying intensities (25% and 35%) led to increased biomass of trees and shrubs, particularly for V. etbaica and O. europaea. O. europaea and J. procera showed larger seedling heights in the 25% pruning and thinning treatments compared to the other treatments. Additionally, grass cover was significantly increased in two of the study sites (Kihen and Tukul) following pruning and thinning treatments compared to the control.<br>The study concludes that pruning and thinning can have a positive impact on forest health and productivity by increasing biomass, growth of regenerated seedlings, and grass cover. The results suggest that tailored silvicultural management practices can improve productivity and biomass through selective pruning and thinning of tree and shrub species in exclosures.
DOI: 10.6084/m9.figshare.3985569.v1
title: Grassland Data Set 1

description: Collected data on campus at Northern Essex Community College in a grassland. Used a quadrat to sample the overall grassland. Estimated what percentage of the quadrat was covered by each species. If there were more than one species in a quadrat, each was recorded.
DOI: 10.6084/m9.figshare.6693344.v1
title: RELATIONSHIP BETWEEN PHYSICAL ACTIVITY, PHYSICAL FITNESS AND CARDIOVASCULAR RISK: STUDY IN MUZAMBINHO, MINAS GERAIS

description: ABSTRACT Introduction: The negative relationship between physical activity, physical fitness, and cardiovascular risk is well established in populations with low levels of physical activity. Objective: The present study investigated this relationship in adults from Muzambinho, Minas Gerais, a population with a high rate of physically active individuals. Methods: Two hundred and thirty-seven individuals (132 women), mostly young adults (44.3% between 20 and 39 years) were assessed. Cardiovascular risk predictors (body mass index, waist circumference, fasting blood glucose, fasting cholesterol, and systolic and diastolic blood pressure), physical activity (total weekly volume of total physical activity) and physical fitness (aerobic fitness and relative hand strength) were measured. Results: More than 90% of the individuals were classified as active (they practiced physical activity for more than 150 min/week). Linear regression identified a negative association of relative hand strength and aerobic fitness to body mass index and waist circumference, as well as a positive association of relative hand strength with diastolic blood pressure. The indicators of physical activity and physical fitness showed no association with global cardiovascular risk. Conclusion: In this population, the inverse relationship between physical activity, physical fitness and cardiovascular risk was limited to physical fitness and obesity indicators, suggesting that in populations with high rates of physically active individuals, the increase in physical fitness, but not in physical activity, can help reduce obesity. Level of Evidence II; Lesser quality RCT.
DOI: 10.6084/m9.figshare.6790640.v2
title: Datasets supporting Leasi et al. Communications Biology

description: This file includes 8 datasets used in Leasi et al. - Communications Biology. Title of the manuscript "Biodiversity estimates and ecological interpretations of meiofaunal communities are biased by the taxonomic approach".<br>We compare biodiversity assessments of a diverse meiofaunal community derived by applying multiple taxonomic methods based on comparative morphology, molecular phylogenetic analysis, DNA barcoding of individual specimens, and metabarcoding of environmental DNA. We show that biodiversity estimates are strongly biased across taxonomic methods and phyla. Such biases affect understanding of community structures and ecological interpretations. Samples were collected from 19 sites located in Panama.<br>Table S1. List of sampled locations and environmental parameters investigated. <br><br>Table S2. List of individuals and taxa collected and analyzed with the respective unique barcode voucher number. Each r18S sequence, entity revealed with GMYC, and OTU is associated to an ID code. Identical ID codes indicate identical r18S sequences, EEs, or OTUs. The same ID codes are shown in the phylogenetic trees. <br>Table S3. Operational taxonomic units of the seven focal phyla. Number of genetic reads is indicated for each sampled station. The phylogenetic trees are constructed considering the Sample-ID code. The last column indicates the percentage of blasting with the reference. The term “TREE” indicates that the taxonomy was obtained by reconstructed the phylogeny.<br>Table S4. Sequence variants of the seven focal phyla. Number of genetic reads is indicated for each sampled station. The phylogenetic trees are constructed considering the Sample-ID code. The last column indicates the percentage of blasting with the reference. The term “TREE” indicates that the taxonomy was obtained by reconstructed the phylogeny.<br>Table S5. Values of richness estimation obtained using Chao and Jackknife algorithms on morphotypes and sequence variants. <br>Table S6. Values of Jaccard dissimilarity based on incidence datasets measured within and between communities. <br>Table S7. Results obtained with PERMANOVA among all taxonomic methods and environmental parameters. <br>Table S8. Values of Phylogenetic Diversity (PD), Mean Phylogenetic Diversity (MPD), and Mean Nearest Taxon Distance (MNTD) measured for each phylum and sampled site. SR, species richness.
DOI: 10.6084/m9.figshare.21786665.v1
title: annotation file

description: the annotation of R9 lactic acid genome
DOI: 10.6084/m9.figshare.28682111.v1
title: sequence data.rar

description: A total of 33 subjects were enrolled in this study. Bronchoalveolar lavage (BAL) fluid was collected from all the subjects. Bacterial DNA was then isolation and analyzed by 16S rDNA sequencing.
DOI: 10.6084/m9.figshare.20153627.v1
title: Supplementary Material for: Glomus tumor of the stomach: a systematic review and illustrative case report

description: Introduction Glomus tumor is a rare mesenchymal neoplasm that can be found anywhere throughout the body, includ-ing the stomach. Our goal was to present a case and a systematic review of the literature, reporting clinical, radiological, surgical, and pathological features of the disease. Methods We reviewed Pubmed and SCOPUS for all case reports and case series published after 2000. Papers written in languages different from English and letters to the editor were excluded. Screening and data extraction were performed following the PRISMA guidelines. Results A total of 89 studies were included in the systematic review, consisting of 187 cases of gastric glomus tu-mor. Mean age was 52(18-90), most patients were female(61%). The most common clinical presentation was epigastric pain(33.9% of cases). Gastric antrum was the most frequently involved site (75.3%). Mean tumor size was 2.82 cm 0.8-17). Preoperative diagnosis was achieved in 22 cases, mostly by EUS-guided biopsy. Wedge resection was performed in 62% of treated patients. Smooth muscle actin was expressed in all cases with available immunohistochemistry. Malignant GT was reported in 11 cases. Discussion Epigastric pain and bleeding were the most common symptoms at presentation in patients with diagnosis of glomus tumor. EUS-guided fine needle aspiration can be useful for preoperative diagnosis. Endoscopic elastosonography is a promising tool for the differential diagnosis of gastric submucosal lesions, including glomus tumors. Treatment of choice is wedge resection with adequate free margins. Laparoscopic ap-proach is warranted when technically feasible. Since malignant gastric glomus tumors have been de-scribed, long term follow-up is suggested after surgical excision.
DOI: 10.6084/m9.figshare.9192485.v2
title: Bird survey data from the Tasmanian Midlands

description: Data set to accompany manuscript submission entitled "Long-term change in bird communities of an agricultural landscape: declines in arboreal foragers, increases in large species". <br>Study sites and methodology techniques used to collect the data are described in the manuscript. Metadata describing data columns are included in the spreadsheet.
DOI: 10.6084/m9.figshare.8188424.v1
title: DATA ON FINANCIAL DEVELOPMENT AND MACROECONOMIC VOLATILITY.zip

description: Data set for Financial <b></b> Development and Macroeconomic Volatility
DOI: 10.17632/yv429t5h6r
title: Technology crowdfunding projects dataset

description: This is an example of a dataset of technology crowdfunding projects collected from the Kickstarter crowdfunding platform. Dataset consists of 1004 projects-502 successful projects and 502 failed ones, extracted from the Kickstarter site (https://www.kickstarter.com/), with (https://www.kickstarter.com/discover/advanced?state=successful&category_id=16&woe_id=23424977&sort=newest&seed=2667028&page=1) as the initial URL. We used statistical methods to analyze and visualize the real data of technology projects.
DOI: 10.6084/m9.figshare.26318239.v1
title: MD2GCN

description: Aiming at the problems that the multi-scale features and long-term dependencies of traffic flow are not easy to model synchronously and the higher-order hidden dynamic spatiotemporal features are challenging to capture, this paper proposes a multi-scale dual-dynamic spatiotemporal graph convolution network (MSD2GCN) for traffic flow prediction.
DOI: 10.17632/ckspy423sb
title: Dataset for Qiao et al. (2024)

description: This dataset represents the simulation results from the forward reactive transport simulations as well as the corresponding predictions from the trained HRTNet surrogate model. The dataset summarizes the numerical values for the profiles reported in different figures of the manuscript. This includes the spatial profiles for different chemical species at different times in column 1, 2 and 3.
DOI: 10.17632/r9y953dd26
title: 'Effects of spatial dimensionality and steric interactions on microtubule-motor self-organization' by Jamie Rickman, François Nédélec & Thomas Surrey

description: Simulation configuration files and documentation for the data presented in 'Effects of spatial dimensionality and steric interactions on microtubule-motor self-organization' by Jamie Rickman, François Nédélec & Thomas Surrey
DOI: 10.6084/m9.figshare.28682888.v1
title: CR-CE-CL-data set

description: The study titled "Effect of Corporate Reputation (CR) on customer loyalty with the mediating role of customer engagement: Evidence from Ethiopian Banking Sector" aims to investigate the relationship between CR building blocks, customer engagement, and customer loyalty within the context of commercial banks in Ethiopia. The research is predominantly explanatory in nature, seeking to understand how CR impact customer loyalty through the mediating role of customer engagement.Data for this study was collected using a structured questionnaire as the data collection instrument. The respondents involved in the study were customers of commercial banks in Ethiopia, with a total sample size of 770 individuals. Purposive sampling techniques were employed to select respondents who have direct experience with the services provided by commercial banks.The analysis of the data was conducted using the AMOS structural equation model in conjunction with SPSS software to test and evaluate the hypotheses formulated in the study. The data description includes detailed information on the demographic characteristics of the respondents, allowing for a comprehensive understanding of the sample profile.Furthermore, the data collected encompasses various dimensions related to CR initiatives, including relationship marketing, corporate social responsibility, corporate capability, and product attribute aspects. Additionally, customer engagement and customer loyalty related data are included to assess the impact of CR on customer loyalty through the mediating role of customer engagement. This comprehensive dataset provides valuable insights into the relationships between CR constructs, customer engagement, and customer loyalty in the context of commercial banks in Ethiopia.<br>
DOI: 10.6084/m9.figshare.24154581.v1
title: Supplementary Data for Genome-wide Characterization of Diverse Bacteriophages Enabled by RNA-Binding CRISPRi

description: Bacteriophages constitute one of the largest sources of unknown gene content in the biosphere. Even for well-studied model phages, robust experimental approaches to identify and study their essential genes remain elusive. We uncover and exploit the conserved vulnerability of the phage transcriptome to facilitate genome-wide protein expression knockdown via programmable RNA-binding protein dRfxCas13d (CRISPRi-ART) across diverse phages and their host. Establishing the first broad-spectrum phage functional genomics platform, we predict over 90 essential genes across four phage genomes, a third of which have no known function. These results highlight hidden infection strategies encoded in the most abundant biological entities on earth and provide a facile platform to study them.<br><b>Data S1. </b>Plasmids used in this study.<b>Data S2. </b>Bacterial strains used in this study.<b>Data S3. </b>Bacteriophages used in this study.<b>Data S4. </b>Oligonucleotides used in this study, not including oligo pools.<b>Data S5. </b>Data table describing metadata, raw and normalized read counts, crRNA fitness values.<b>Data S6. </b>Curated phage genome annotations for phages T4, T5, SUSP1, and PTXU04.<b>Data S7. </b>Plaque size measurements for all plaque assays in this study.<br>
DOI: 10.6084/m9.figshare.24504259.v1
title: fastq files of metagenomic analysis of nasopharyngeal Covid-infected people

description: fastq files of metagenomic analysis of nasopharyngeal Covid-infected people
DOI: 10.6084/m9.figshare.26198594.v1
title: Second harmonic generation at a time-varying interface - Source Data

description: Source data for the results shown in the main text and extended figures of 'Second harmonic generation at a time-varying interface'.
DOI: 10.6084/m9.figshare.5127022.v1
title: Supplementary Material for: Expression and Functional Activity of the Bitter Taste Receptors TAS2R1 and TAS2R38 in Human Keratinocytes

description: Recent studies have shown that human bitter taste receptors (TAS2Rs) are not only expressed in mucous epithelial cells of the tongue, but also in epithelial cells of the colon, stomach and upper respiratory tract. These cell types come in close contact with external bitter compounds by ingestion or breathing. In the present work we addressed the question whether bitter taste receptors might also be expressed in cornified epithelial cells of the skin. Here, we show for the first time the expression of TAS2R1 and TAS2R38 in human skin. Double staining of HaCaT cells and primary keratinocytes demonstrated the colocalization of TAS2R1 and TAS2R38 with the adaptor protein α-gustducin that is essential for signal transduction upon ligand binding. To test if TAS2Rs in keratinocytes are functional, we stimulated HaCaT cells with diphenidol, a clinically used bitter-tasting antiemetic, or amarogentin, the bitterest plant substance, that binds TAS2Rs, including TAS2R1 and TAS2R38. Diphenidol and amarogentin induced calcium influx. Furthermore, in keratinocytes diphenidol and amarogentin stimulated the expression of the differentiation markers keratin 10, involucrin and transglutaminase. Therefore, apart from the known role in mucous membranes of the gastrointestinal tract, TAS2Rs are expressed in the epidermis and might play a role in keratinocyte differentiation.
DOI: 10.6084/m9.figshare.5411119.v2
title: HPLC Estradiol Disulfate, PF-04859989 Reversibility

description: 0.7 µg of KAT-II was incubated at 37°C for 10 minutes in a 50 µL reaction mixture containing PLP (10 µM, 50 µM, 100 µM, 200 µM), α-ketoglutarate (5 mM), L-KYN (5 mM) in PBS, pH 7.4, and the inhibitor studied (1-2000 µM). Following incubation, the reaction was terminated by adding formic acid (0.8 M) in a 1:1 ratio. 50 µL of the mixture was transferred into a vial with 950 µL of water for HPLC analysis.The production of KYNA was measured using HPLC with UV detection at a wavelength of 330 nM, using a C18 reverse-phase column, and 50% (v/v) water and 50% (v/v) methanol mobile phase. The data was collected in triplicate.
DOI: 10.17632/5hk4zw32f5
title: Nairobi Securities Exchange All Stocks Prices 2007-2012

description: Nairobi Securities Exchange All Stocks Prices 2007-2012 This historical data is valuable for machine learning algorithms that need data for training and testing. It was initially compiled as part of a project to apply Artificial Neural Networks (ANN) for next day stock price prediction, based on the prices of the previous five days. Use of ANN was to contrast to prevalent methods of stock market prediction such as technical, fundamental or time series analysis. This data was used for an initial research [1],[2] that tested an ANN for stock market prediction. This ANN model was of configuration - feedforward multi-layer perceptron (MLP) with error backpropagation, using sigmoid activation function, with network configuration 5:21:21:1. The data used in the research was for the 5-year period (2008 to 2012), with 80% of the data (4-year data) used for training and the balance 20% used for testing (last 1-year data). However, the full data that had been compiled, as presented here is the 6-year data for period 2007 to 2012. This 2007 to 2012 data for the Nairobi Securities Exchange (NSE) was scrapped from a public website that publishes daily stock prices and archives historical data [3]. The raw data was first exported to a spreadsheet then headers, footers and other unnecessary elements were removed. This data consists of daily stock prices for over 60 different stocks and market indices over a 12-month period in each year, for a total of 6-years. Each data row has the following 13 data columns (1) Date of trade (2) Code of the stock (3) Name of the stock (4) 12-month Low price (5) 12-month High price (6) Day's Low price (7) Day's High price (8) Day's Final Price (9) Previous traded price (10) Change in price by value (11) Change in price by % (12) Volume traded (13) Adjusted price, if any. The original data also had a column on the price direction, being an arrow graphic, showing Up, Down or Unchanged. This column was discarded from this final compilation. While the initial research only tested prediction based on adjusted final price for six stocks, the publishing of the full data now gives other researchers the opportunity to test any other of the more than 60 stocks and test any other hypothesis on this full data set. This data can also be used to reproduce and validate the initial research findings as already published. List of data files on this dataset: NSE_data_all_stocks_2007.csv NSE_data_all_stocks_2008.csv NSE_data_all_stocks_2009.csv NSE_data_all_stocks_2010.csv NSE_data_all_stocks_2011.csv NSE_data_all_stocks_2012.csv References: [1] Wanjawa, B. W. (2014). A Neural Network Model for Predicting Stock Market Prices at the Nairobi Securities Exchange (Dissertation, University of Nairobi). [2] Wanjawa, B. W., & Muchemi, L. (2014). ANN model to predict stock prices at stock exchange markets. arXiv preprint arXiv:1502.06434. [3] Synergy Systems Ltd. (2020). MyStocks. Retrieved March 9, 2020, from http://live.mystocks.co.ke/
DOI: 10.6084/m9.figshare.25927132.v1
title: H14_Wh

description: Energy related data for House 14
DOI: 10.6084/m9.figshare.20769229.v1
title: merged_file_reactions_Maxflux

description: The file contains the reaction fluxes
DOI: 10.6084/m9.figshare.22147964.v1
title: An Empirical Investigation into the Influence of Software Communities’ Cultural and Geographical Dispersion on Productivity – Online Appendix

description: This is the online appendix for the research paper titled “An Empirical Investigation into the Influence of Software Communities’ Cultural and Geographical Dispersion on Productivity.”<b>Abstract</b>Estimating and understanding software development productivity represent crucial tasks for researchers and practitioners. Although different works focused on evaluating the impact of human factors on productivity, a few explored the influence of cultural/geographical diversity in software development communities. More particularly, all previous treatise addresses cultural aspects as abstract concepts without providing a quantitative representation. Improved knowledge of these matters might help project managers to assemble more productive teams and tool vendors to design software analytics toolkits that may better estimate productivity. This paper has the goal of enlarging the existing body of knowledge on the factors affecting productivity by focusing on cultural and geographical dispersion of a development community—namely, how diverse a community is in terms of cultural attitudes and geographical collocation of the members who belong to it. To reach this goal, we performed a mixed-method empirical study. First, we built a statistical model relating dispersion metrics with the productivity of 25 open-source communities on Github. Then, we performed a confirmatory survey with 140 practitioners. The key results of our study indicate that cultural and geographical dispersion considerably impact productivity, thus encouraging managers and practitioners to consider such aspects during all the phases of the software development lifecycle. We conclude our paper by elaborating on the main insights from our analyses and instilling implications that may drive further research.
DOI: 10.6084/m9.figshare.6790031.v1
title: Demographic and Spatial datasets

description: This record contains the base datasets used in the research to create the maps of distribution of population.
DOI: 10.15468/dl.cwms8r
title: Occurrence Download

description: A dataset containing 2595860 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tortricidae"
 ]
}

 The dataset includes 2595860 records from 1310 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009345-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sq5ecb
title: Occurrence Download

description: A dataset containing 25170487 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "PublishingOrg is 64ee55c9-570a-42af-b7da-3f13c6b4e5a9"
 ]
}

 The dataset includes 25170487 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007140-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.