cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/6zzbm9dsg7
title: Dataset on effect of diseases on Nagvel-betel (Piper betle) leaves

description: The dataset includes 4156 leaves that are not healthy. It indicates the symptoms of a disease infection in leaves. There are categories like Deformed Leaf, Leaf with Cut, Leaf with Brown Spot, Light-coloured Leaf, Fungus, Leaf with White Patches (Powder), and their combinations. The actual number of categories of affected leaves used in the dataset is 30. The Vision Transformer Models are used to study the images and comparing those images with the images captured at run time.
DOI: 10.17632/tncmggwg7z
title: Data for: Human epicardial adipose tissue inflammation correlates with coronary artery disease

description: This dataset contains seven folders representing different experimental results ( ELISA, RT-qPCR,  western blot, hematoxylin-eosin staining, immunohistochemistry, and immunofluorescence analyses) of epicardial adipose tissue and subcutaneous adipose tissue as well as clinical features of coronary artery disease and non-coronary artery disease patients. In order to protect the privacy of patients, we do not provide data related to personal information.Statistical analysis was performed using SPSS 26.0 (SPSS, Chicago, IL, USA), GraphPad Prism 8.0 (GraphPad Software, La Jolla, CA, USA), and Image J software 1.6.0 (National Institutes of Health).
DOI: 10.6084/m9.figshare.12118209.v1
title: Pesticide.csv

description: An R sript to calculate LD50s with 95% CLs, judge the significance between two LD50s, and measure parallelism of dose-response lines using probit/logit-log(dose) model.
DOI: 10.6084/m9.figshare.1515002.v8
title: Capturing Dynamics of Biased Attention

description: New indices, calculated on data from the widely used Dot Probe Task, were recently proposed to capture variability in biased attention allocation. We observed that it remains unclear which data pattern is meant to be indicative of dynamic bias and thus to be captured by these indices. Moreover, we hypothesized that the new indices are sensitive to <i>SD</i> differences at the response time (RT) level in the absence of bias.
DOI: 10.6084/m9.figshare.28872368.v1
title: SRR3414636.uniq.sorted.bam.bai

description: aserfgasdf
DOI: 10.6084/m9.figshare.988774.v1
title: IT-TOF tandem mass spectrum of Microcystin LF

description: IT-TOF tandem mass spectrum (mzXML) of the cyanobacterial toxin Microcystin LF
DOI: 10.17632/97hkwn5y3x
title: Nairobi Securities Exchange (NSE) Kenya - All Stocks Prices 2021

description: This compilation of historical daily stock market price data relates to the Kenyan Nairobi Securities Exchange (NSE) for whole of year 2021.  This data is valuable for any machine learning algorithm that needs data (training, validation, testing).  This compilation develops on an earlier dataset (2008-2012) that was initially compiled as part of a research project to predict next day stock price, based on the previous five days, using Artificial Neural Networks (ANN). This initial research [1],[2] tested 6 stocks [3] using ANN of configuration 5:21:21:1. The data was then enhanced as a new compilation of all stocks in the period 2007-2012 [4].

Thereafter, the NSE dataset for 2013 to 2020 [5] was compiled followed by this compilation that now has the 2021 data (upto Dec.31).  The method of data compilation has remained as it was originally, being data scrapping from a publicly accessible website [6] licensed by NSE. The processing involves exporting the raw web data to spreadsheets, then cleaning up, by removal of unnecessary data elements such as HTML tags and other graphics that cannot be converted to text.

Just like the previous compilations, each stock data row has the 13 data columns (1) Date (2) Stock Code (3) Stock Name (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 value (11) Change in price % (12) Volume traded (13) Adjusted price.  An additional CSV file is provided to show market sector that each stock belongs to. The 3 column headings for this additional CSV are: (1) Market sector (2) Stock Code (3) Stock Name.

With the addition of this new data compilation, researchers now have an even larger dataset (2007-2021) and even a bigger pool of stocks and their indices, since stocks keep being introduced (or even retired).  Providing the market sector information also opens up additional opportunities for data analysis and usage in machine learning research.

List of data files on this dataset: 
NSE_data_all_stocks_2021_upto_31dec2021.csv 
NSE_data_stock_market_sectors_2021.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] Wanjawa, Barack (2020), “Nairobi Securities Exchange Prices 2008-2012 for 6 selected stocks”, Mendeley Data, v3, http://dx.doi.org/10.17632/95fb84nzcd.3 
[4] Wanjawa, Barack (2020), “Nairobi Securities Exchange All Stocks Prices 2007-2012”, Mendeley Data, v1, http://dx.doi.org/10.17632/5hk4zw32f5.1 
[5] Wanjawa, Barack (2021), “Nairobi Securities Exchange (NSE) All Stocks Prices 2013-2020”, Mendeley Data, V2, http://dx.doi.org/10.17632/73rb78pmzw.2 
[6] Synergy Systems Ltd. (2020). MyStocks. Retrieved Dec 31, 2021, from http://live.mystocks.co.ke/
DOI: 10.17632/fm7v43jrbk
title: Longitudinal profiling of respiratory and systemic immune response reveals myeloid cell-driven lung inflammation in severe COVID-19. Szabo et al.

description: Supplementary data files from 'Longitudinal profiling of respiratory and systemic immune response reveals myeloid cell-driven lung inflammation in severe COVID-19 by Szabo et al. Accepted for publication in Immunity (Cell Press).
DOI: 10.6084/m9.figshare.22643926.v1
title: CUG-CMA DATASET and its grid data product description

description:   
The daily meteorological observation data of the early period (pre-1950) were critically important for investigating the long-term trends and multi-decadal scale variability of extreme climate events. The high-resolution surface air temperature (SAT) data are lacking in China. We extended the SAT observations of China back to 1840 through developing a pre-1950 dataset. The early period daily SAT were manually corrected for the input and clerical errors, and then according to the length or coverage of time, the main series for each of the cities was determined. The observation time system of unknown sites is determined by the difference method. After these operations, the data of all sites are unified into the same format. By using the ridge regressions established by data from modern reference stations, the missing maximum temperature (Tmax) and minimum temperature (Tmin) are interpolated. the early period data are combined with modern data to form the long-term daily SAT dataset of 1840-2020 in China. RHtest software was used to adjust the inhomogeneities in the single-site data. Finally, the century-long homogenized daily SAT dataset including 45 key city stations in China was obtained. Among the stations, there are 20 stations with observation record more than one hundred years. The length of temperature observation series of 17 stations is between 80 and 100 years. The series length of the remaining 7 sites is between 68 and 80 years. The data integrity is good, with 18 stations having an integrity of 85–100%, and all of them having an integrity of more than 50%. Finally, the angular distance weighting (ADW) method is used to interpolate the data into grid products, and the grid size is 2.5 ° × 2.5 °. Climatic Research Unit dataset (CRU dataset) was used for comparing and verifying the new dataset. The high correlation coefficient between the two datasets indicates that the newly developed dataset in this paper is relatively reliable.
DOI: 10.6084/m9.figshare.6731321.v1
title: Lifetime data set: paired concept counts

description: Paired concept counts from the lifetime data set. 5,364,781 patients in this data set. File format: tab-delimited table; newline terminated. Columns: concept id 1 - Unique numeric code identifying the first of the paired concepts; concept id 2 - Unique numeric code identifying the second of the paired concepts; count - The number of patients with both concepts in this data set; prevalence - The number of patients with both concepts divided by the total number of patients in this data set (1.0 is 100%). Each unique pair of concepts has at most one row, i.e., the same two concepts do not appear in two separate rows. The rows are arranged in ascending order by concept id 1 and concept id 2. Concept id 1 is always the smaller numeric value.
DOI: 10.6084/m9.figshare.833900.v1
title: SG hybrid trace of DT class C with 85 processors for Graphene

description: This is a SimGrid trace of the NASPB DT benchmark on a model of graphene using the Hybrid SMPI model. The trace was obtained by Georges Markomanolis using SimGrid 3.10.0.
DOI: 10.6084/m9.figshare.96585.v1
title: Subjects of Open Access Items (2012)

description: The dataset shows the subjects of open access items (2012) indexed in the Bielefeld Academic Search Engine (BASE). The datasets are presented in csv and xslx. Based on the data a visualization was created and published in LIBREAS. Library Ideas (an Open Access e-only journal). For the citable URN of the visualization see the link.
DOI: 10.17632/hcgcnm269w
title: Sandpaper Wind Turbine Blade Benchmark Dataset

description: The proposed dataset aims to provide a easy way for benchmarking Structure from Motion methods for capturing micro and macro structure details. The tested scenario is the use of SfM for capturing the surface roughness and shape of a wind turbine blade, but the same testing scenarios can be used for other use cases, where both the overall shape and the micro roughness of the surface are necessary, like inspection of tunnels, facades, sewers, etc. The dataset consists of two parts - a height artefact scenario, aimed to test the capturing capacity for macro resolution in SfM software. A custom height artefact is produced and used for this scenario, consisting of a number of heights from 10 mm to 0.625 mm. A number of images are present in the dataset of the artefact - both with drawn and projected noise for easier reconstruction. In addition the ground truth for the measurements of the artefact is present using a HIROX microscope. Finally, the STL used for 3D printing the artefact is also present, for easier testing. The second scenario is directed at detecting micro surface roughness. It is shown that sandpaper roughness can be used for approximating surface roughness, as it is easily quantifiable and has a known ISO standard. The used sandpaper has a ISO 6344 standard, given here - https://www.iso.org/standard/12643.html . A number of sandpaper grits are used - P40, P60, P80, P100, P120, P180 and P240. Each of the sandpaper patches is mounted on a wind turbine blade replica CnCed from Styrofoam, with the used STL also present in the dataset. Each sandpaper grit size is imaged with 57 images in a semi-circle with 3 horizontal bands of 19 images with different height. All images are captured using Canon 6D DSLR camera. All images contain EXIF data with used camera parameters. In addition, each of the sandpaper grits contains ground truth data captured with the same Hirox RH-2000 microscope. The ground truth is in absolute scale and contains additional data directly in the CSV files.
DOI: 10.6084/m9.figshare.17076287.v1
title: Global Coral Bleaching Database

description: Global coral bleaching database in Access format.
DOI: 10.6084/m9.figshare.17088547.v1
title: Parasites in surgically removed appendices as a neglected public health concern: a systematic review and meta-analysis

description: The role of various parasitic infections in the occurrence of appendicitis is illustrated through cases recorded all over the world. The purpose of the current study was to estimate the global prevalence of parasite infestation (other than <i>E. vermicularis</i>) in appendectomy specimens. In the setting of the PRISMA guidelines, multiple databases (Science Direct, Scopus, Web of Science, PubMed, and Google Scholar) were explored in articles published until 28 September 2020. Totally, 62 studies (106 datasets) with 77, 619 participants were included in the analysis. The pooled prevalence of parasites in appendectomy samples was as follows; 0.012% (95% CI; 0.004–0.025) for <i>Ascaris lumbricoides</i>, 0.004% (95% CI; 0.001–0.009) for <i>Trichuris trichiura</i>, 0.025% (95% CI; 0.007–0.052) for <i>Schistosoma mansoni</i>, 0.002% (95% CI; 0.001–0.005) for <i>Taenia</i> spp., 0.061% (95% CI; 0.020–0.122) for <i>Entamoeba histolytica</i> and 0.034% (95% CI; 0.018–0.056) for <i>Giardia lamblia</i>. Our results demonstrated that the risk of appendicitis may increase in the presence of helminth and protozoan infections. As such, the most cases of parasites in appendectomy specimens were reported in developing countries. Regular screening plans for diagnosis, treatment and prevention are needed for prevention of parasitic infection as well as parasitic associated appendicitis, especially in endemic regions of the world.
DOI: 10.6084/m9.figshare.19121780.v2
title: Datasets of Dayu

description: The datasets include the DEM, ESO, ESP, landuse, soil nutrition, mining area, RSEI and the statistical yearbook of Dayu.
DOI: 10.6084/m9.figshare.27949029.v1
title: Discovering Organic Reactions with a Machine-Learning-Powered Deciphering of Tera-Scale Mass Spectrometry Data

description: The accumulation of large datasets by the scientific community has surpassed the capacity of traditional processing methods, underscoring the critical need for innovative and efficient algorithms capable of navigating through extensive existing experimental data. Addressing this challenge, our study introduces a machine learning (ML)-powered search engine specifically tailored for analyzing tera-scale high-resolution mass spectrometry (HRMS) data. This engine harnesses a novel isotope-distribution-centric search algorithm augmented by two synergistic ML models, assisting with discovery of hitherto unknown chemical reactions. This methodology enables the rigorous investigation of existing data, thus providing efficient support for chemical hypotheses while reducing the need for conducting additional experiments. Moreover, we extend this approach with baseline methods for automated reaction hypothesis generation. In its practical validation, our approach successfully identified several reactions, unveiling previously undescribed transformations. Among these, the heterocycle-vinyl coupling process within the Mizoroki-Heck reaction stands out, highlighting the capability of the engine to elucidate complex chemical phenomena.
DOI: 10.6084/m9.figshare.28089350.v4
title: Dataset for finalized research (GR-2018-12366756)

description: These datasets contain all data for the final report of the finalized research (GR-2018-12366756), titled "Novel determinants and potential therapeutic targets in extraskeletal calcification and ossification: focus on the PTH and FGF23 network".
DOI: 10.6084/m9.figshare.28901927.v1
title: Supplementary Material for: Early drainage of macula-involving massive suprachoroidal haemorrhage assisted with recombinant tissue plasminogen activator may lead to better visual prognosis

description: Introduction: A massive suprachoroidal haemorrhage (SCH) is a devastating complication with significant morbidity and poor visual and anatomic outcome. Conventional management is to observe for 7-14 days before surgical drainage. However, permanent structural changes in the retina can occur within this timeframe. Suprachoroidal injection of recombinant tissue plasminogen activator may speed up clot breakdown and aid early surgical drainage. We present a case series of macula-involving massive SCH treated with early drainage aided by r-tPA.

Case presentation: Retrospective case series of three patients with macula involving massive SCH treated with suprachoroidal r-tPA within 24 hours of bleed and early drainage of SCH within 48 hours of r-tPA injection, combined with vitrectomy and tamponade. 100µg of recombinant tissue plasminogen activator was injected into the suprachoroidal haemorrhage 24 hours following initial injury in all patients. Drainage of the SCH was then performed 6-48 hours after the injection of r-tPA. Early drainage was successful and visual improvement was seen in all patients. One patient had a recurrence of SCH but was successfully re-treated. 

Conclusion: The technique of r-tPA assisted early drainage of SCH is safe and has promising potential to restore visual function in patients with macula involving massive SCH. Our small sample would indicate that 100μg/0.4ml of r-tPA injected within 24 hours of bleed allows surgical drainage of suprachoroidal haemorrhage as early as day 2 post initial injury. Larger studies are required to investigate further which patients are likely to benefit from this treatment.
DOI: 10.25378/janelia.7825322.v1
title: MouseLight Neuron AA1084

description: A vast neural tracing effort by a team of Janelia scientists has upped the number of fully-traced neurons in the mouse brain by a factor of 10. Researchers can now download and browse the data in three dimensions. <br>Inside the mouse brain, individual neurons zigzag across hemispheres, embroider branching patterns and, researchers have now discovered, can even spool out spindly fibers up to 45 centimeters long.<br>Scientists can see and explore these wandering neural traces in 3-D in the most detailed map of mouse brain wiring yet created. The map reconstructs the shape and position of more than 300 of the 70 million neurons in the mouse brain. Previous efforts to trace the path of individual neurons had topped out in the dozens. <br>The selectively-labeled neurons were mapped in an iterative process with two-photon microscopy. The brain is sliced in 200-micron sections and a few dozen neurons are labeled at a time and imaged. Each brain imaged yields about 50 terabytes of data, each containing mapped neurons which can be browsed via the NeuronBrowser application. Researchers interested in the complete raw data set should contact Janelia to discuss obtaining it via hardware transfer.
DOI: 10.6084/m9.figshare.16666864.v1
title: Phagocytic microscopy and MP-TFM assay with RAW macrophages upon treatment with cytoskeletal inhibitors

description: Confocal image stacks of fixed RAW macrophages phagocytosing soft 1.4 kPa DAAM-particles functionalized with IgG to trigger phagocytosis, and with AF488-Cadaverine for visualization. Cells were stained for F-actin, and particles were stained with a fluoresecent secondary antibody to reveal the exposed surface. <br><br>Cells were treated with myosin-II inhibitor Blebbistatin, Arp2/3 inhibitor CK666 or formin inhibitor SMIFH2 prior to and during the phagocytic assay. Control cells were treated with DMSO. <br><br>File Names contain DMSO, Bleb, CK666 or SMIFH2 to indicate the treatment group.
DOI: 10.6084/m9.figshare.19653930.v1
title: INDEPTH IV deep-reflection seismic profile

description: SEG Segy format.
DOI: 10.6084/m9.figshare.25822624.v1
title: Relative Synonymous Codon Usage (RSCU) for all cds in the Saccharomycotina

description: Relative synonymous codon usage was calculated for all genomes in the Y1000+ database. The RSCU for orders with a CTG codon reassignment were computed taking the reassignment into account. The script used to generate the RSCU values can be found here: https://github.com/The-Lab-LaBella/RSCU_Calculation_Analysis <br>The file contains the name of the assemblies, as listed in the supplemental data 1 of Opulente et al 2024. The columns contain the clade/order and codons analyzed.
DOI: 10.6084/m9.figshare.9927383.v1
title: An umbrella review on the effects of diabetes on implant failure and peri-implant diseases

description: Abstract The aim of this review is to summarize the evidence on associations between diabetes mellitus (DM) and complications around dental implants. Electronic database searches of MEDLINE, EMBASE, JBI Database of Systematic Reviews and Implementation Reports, Cochrane Database of Systematic Reviews and the PROSPERO register were performed from 1990 up to and including May 2018, using MeSH terms and other keywords. Systematic reviews and meta-analyses investigating the associations of DM and implant complications (failure, survival, bone loss, peri-implant diseases, and post-surgery infection) were eligible. The quality of the included reviews was determined using the Assessment of Multiple Systematic Reviews Tool 2 (AMSTAR 2). Twelve systematic reviews were included. Implant survival rates ranged from 83.5% to 100%, while implant failure rates varied from 0% to 14.3% for subjects with DM. The three meta-analyses performed for event “implant failure” reported no statistically significant differences between diabetic and non-diabetic subjects. An apparently increased risk of peri-implantitis is reported in patients with DM. According to the AMSTAR 2 classification, 50% of the reviews were classified as being of “critically low”, 25% as of “low” and 25% as of “moderate” quality. Evidence indicates high levels of survival and low levels of failure of implants inserted in patients with DM. However, DM was assessed as a whole in the majority of studies and, the actual influence of hyperglycemia on implant survival/failure is still uncertain. DM/hyperglycemia seems to be associated with a high risk of peri-implantitis. However, this conclusion is based on a limited number of systematic reviews.
DOI: 10.17632/48652d88xm
title: Normative values for Sargeant Vertical Jump test in Indian Population aged 18 to 23 Years

description: The Sargent Vertical Jump Test (VJT) is one of the widely used tests for the
measurement of lower limb explosive power and anaerobic performance.
Although it's used all over the world, till date there is no established
“NORMATIVE VALUE FOR SARGENT VERTICAL JUMP TEST IN
INDIAN POPULATION AGED 18 TO 23 YEARS”. This age group consists
of college students and hence is an important group for fitness testing. While
there are some international researches that have yielded norm values for
vertical jumping performance, as with one for the Chinese, such values would
not necessarily describe the physicality and performance capacities of Indian
persons based on ethnic, environmental, and lifestyle disparities.

Considering this deficiency, the current study proposes to derive normative
values for the Sargent Vertical Jump Test particularly for Indian men and
women between the ages of 18 and 23 years.
DOI: 10.17632/b5zhntwbzf
title: Data for: Inequality in Body Mass Indices across Countries: Evidence from Convergence Tests

description: The dataset contains one estimate of the average adult body-mass index per gender and five aggregate variables for 172 countries for the period 1975-2014. The BMI estimates come from the database of NCD Risk Factor Collaboration (NCD-RisC; 2016). The aggregate variables are: globalization index, real gross domestic product (GDP), population, human capital index, and urbanization rates. To estimate average BMIS, the NCD-RisC use information from 1698 population-based data sources, with more than 19.2 million adult participants (9.9 million men and 9.3 million women) in 200 countries and territories between 1975 and 2014. These BMI series are not available on NCD-RisC website.
DOI: 10.17632/c43zkh43yf
title: auricular acupressure on postoperative pain intensity

description: This study assess the effect of auricular acupressure on postoperative pain intensity in a randomized controlled trial.
DOI: 10.6084/m9.figshare.29002252.v1
title: Additional file 3 of The TyphiNET data visualisation dashboard: unlocking Salmonella Typhi genomics data to support public health

description: Additional file 3. TyphiNET downloadable line list (csv format) of all genome-derived data presented in TyphiNET.