cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/5nk6w8pbvy
title: N2O isotope and GHG data from soil

description: Dataset of nitrous oxide isotopes, nitrous oxide, methane, carbon dioxide and ammonia emissions from agricultural soils: case study in Latvia
DOI: 10.6084/m9.figshare.14614112.v1
title: Genomic/Epigenomic features

description: The main type of features we used is the read counts from various sequencing experiments mentioned above. We firstly downloaded the alignment files (bam files) from ENCODE website. For the sake of consistency, we first convert the genomic coordinates to hg19 human reference genome assembly if the original mapping is for hg38. After that, we retrieved the genomic location information of each read from the alignment files and then count the number of reads located in each pre-defined 200bp bin across the whole human genome. For the experiment with multiple technical replicates, we merged the read counts into a single feature using their mean values. For other features, such as annotation scores, which are typically precomputed in base level, we assigned the score to the CpG locus according to the exact genomic coordinate as the feature.<br>
DOI: 10.6084/m9.figshare.16960804.v1
title: Scientific Data paper

description: Gene expression matrix of different developmental stages of tissues or individuals in lotus for the Scientific Data paper
DOI: 10.6084/m9.figshare.23994483.v1
title: dataset2_Train_Positives.dat

description: This dataset contains positive samples used to train the PepCNN model for Dataset2
DOI: 10.6084/m9.figshare.24916158.v1
title: A Stochastic Analysis of the Linguistic Provenance of English Place Names

description: In English place name analysis, meanings are often derived from the resemblance of roots in place names to topographical features, proper names and/or habitation terms in one of the languages that have had an influence on English place names. The problem here is that it is sometimes difficult to determine the base language to use to interpret the roots. The purpose of this paper is to stochastically determine the resemblance between 18799 English place names and 84687 place names from Ireland, Scotland, Wales, Denmark, Norway, Sweden, France, Germany, the Netherlands and Ancient Rome. Each English place name is ranked according to the extent to which it resembles place names from the other countries, and this provides a basis for determining the likely language to use to interpret the place name. A number of observations can be made using the ranking provided. In particular, it is found that ‘Harlington’ is the most archetypically English place name in the English sample, and ‘Anna’ is the least. Furthermore, it is found that the place names in the non-English datasets are most similar to Norwegian place names and least similar to Welsh place names.
DOI: 10.6084/m9.figshare.28248155.v1
title: Spatial Proteomics (t-CyCIF)

description: Spatial Proteomics (t-CyCIF)
DOI: 10.6084/m9.figshare.9879326.v1
title: Reference quantitative phase microscopy images of spherical objects

description: Reference quantitative phase microscopy images of spherical objects<br><br>These data serve as reference datasets for the analysis of spherical objects in quantitative phase imaging and are part of the tutorials one through three of the analysis software DryMass [1].<br><br><br>DHM_HL60_cells.zip:<br>Digital holograms of HL60 cells. Please refer to the readme.txt file inside the zip file for more information. The zip file also contains roi_slices.txt which holds the ROIs of all usable cells for analysis with DryMass.<br><br><br>QLSI_PAA_beads.zip:<br>Quantitative phase images of polyacrylamide beads. Please refer to the readme.txt file inside the zip file for more information.<br><br><br>QLSR_PAA_beads_modified.h5:<br>Modified bead images (from QLSI_PAA_beads.zip) to demonstrate background correction capabilities of DryMass. The data are stored in the hdf5-based qpimage [2] file format.<br><br><br>References:<br>[1] https://drymass.readthedocs.io<br>[2] https://qpimage.readthedocs.io<br><br><br>SHA256 sums:<br>7d14fb24c332431fd6d7afb522befa99261c0a91399287782b63a949c6c4afdb DHM_HL60_cells.zip<br>b54775b2de8be9cf5332fb6dc779f38d05bde045d58177a47cf716f2139ee8a5 QLSI_PAA_beads.zip<br>d9ed2bfd2850d441f68d81dee3c846c103b15e6e83252315963a07042d138511 QLSR_PAA_beads_modified.h5<br><br><br>license: CC0<br>These data are dedicated to the public domain. You can copy, modify, or distribute them without asking permission.<br><br>
DOI: 10.17632/dpr2x6kjj3
title: Color Detection & Segmentation based Invisible Cloak

description: This project is actually inspire from the cloak which is used in Harry Potter Movie. As in movie when harry put this cloak on itself it become invisible same as it in this program when a person put the cloak he/she will become invisible. We will create the Invisible Cloak using an Image Processing Techniques called Color Detection and Segmentation.

AIM: The aim of the Invisibility Cloak Project using Image Processing is to develop a system that can digitally create the illusion of invisibility on a person in real-time camera. 


This research paper presents a fascinating project on creating an "Invisible Cloak" effect using Python and Computer Vision techniques. While true invisibility is still a fantasy, our approach leverages Color Detection and Segmentation to achieve a captivating visual illusion. The system identifies the person wearing the cloak and the background colors, then seamlessly blends the person with the surroundings, giving the appearance of vanishing from view. We explore the potential applications in entertainment, augmented reality, and creative visual effects. The methodology is straightforward, utilizing existing computer vision techniques, making it accessible and capable of real-time processing. However, challenges exist, such as sensitivity to lighting and background complexities. 

This project aims to creates a magical experience by using an Image Processing technique called Color Detection & Segmentation resulting in false sense of Invisibility in the frame.

OBJECTIVES:
1- Capture & Store background frame using Image Acquisition by Store a single frame before starting the infinite loop
2- Detect the defined color using color detection & segmentation algorithm
3- Segment out the defined colored part by generating mask & applying it on frame
4- Generate the final output to create a magical effect by combining frames together, & remove the unnecessary noise from masks.
DOI: 10.17632/y5x9xgf4fy
title: High spatial resolution bioclimatic variables of Sardinia
DOI: 10.6084/m9.figshare.21644336.v1
title: Figure 3

description: Figure 3 in Graphpad prism format
DOI: 10.6084/m9.figshare.25222883.v1
title: Raw data, laminar fMRI in locked-in stage ALS

description: Submillimeter resolution fMRI dataset during attempted and passive finger movements in a locked-in stage ALS patient.
DOI: 10.6084/m9.figshare.29071178.v1
title: High polarization lines of the second solar spectrum of the Solar limb

description: We present a dataset of high resolution spectra of the Sun of many strongly polarized lines belonging to the second solar spectrum, i.e. the spectrum near the limb in linear polarization (scattering polarization). These solar spectra were obtained in full Stokes polarimetry (I, Q/I, U/I, V/I) in the quiet Sun at various distances from the limb, and at disk centre for comparison, with the ground based CNRS THEMIS telescope. Polarization rates Q/I up to 7% are obtained in CaI 4227 Å line at μ = cosθ = 0, while 2% is reached in SrI 4607 Å line and 1.4% in BaII 4554 Å. The spectra shown here are freely available in FITS format to the research community.
DOI: 10.17632/wbdgzb46k2
title: Supplementary data for High magnification Smartphone-Dermatoscope Integration: A Portable and Accessible Alternative to High-Magnification Videodermatoscopy

description: Supplementary data for the manuscript entitled "High magnification Smartphone-Dermatoscope Integration: A Portable and Accessible Alternative to High-Magnification Videodermatoscopy"
DOI: 10.6084/m9.figshare.19738507.v1
title: Interview Guide

description: Interview guide for the data collected for this manuscript
DOI: 10.6084/m9.figshare.20027480.v2
title: Global Green Spaces(4353 cities)

description: global green spaces
DOI: 10.6084/m9.figshare.24968769.v1
title: Burnout and resilience in Sri Lankan HCWs Study

description: This study explores the relationship between burnout and mental health problems among health workers in Sri Lanka, and the role of resilience as a buffer. Data are based on self-report questionnaires including the Copenhagen Burnout Inventory, Brief Resilience Scale and Depression, anxiety and stress scale.
DOI: 10.6084/m9.figshare.4903241.v1
title: HELCATS CORHITCAT

description: This is the HELCATS CORHITCAT. It is a catalog of COR2 CMEs with the addition of a predicted arrival of each CME to a spacecraft (and its corresponding validation by cross-checking these predictions with an ICME catalog).<br>See the description file for more info.
DOI: 10.6084/m9.figshare.7122572.v2
title: Data from: The effect of network size and sampling completeness in depauperate networks

description: The data consists of gall wasps and natural enemies emerged from galls sampled across thirteen subwebs.Full detail is given i Henriksen, M.V., Chapple, D.G., Chown, S.L., & McGeoch, M.A. (2018): "The effect of network size and sampling completeness in depauperate networks". <i>Journal of Animal Ecology</i>, https://doi.org/10.1111/1365-2656.12912
DOI: 10.6084/m9.figshare.21604014.v2
title: Root-Pattern Morphological Dataset

description: Morphological Database resulted in using three different morphological parser and stemmer (Arabic Textware and Alkalil morphological analyzers, and khoja stemmer). Data are organized word, stem, word, and corresponding patterns. Stems need to be cleaned. <br>
DOI: 10.6084/m9.figshare.25125587.v1
title: Supporting Information for Fragility Longitudinal Study

description: In this study, we report longitudinal frailty and lifespan data on two genetically distinct mouse cohorts to evaluate noninvasive strategies to predict life expectancy in mice.
DOI: 10.17632/9c9g3rh8rd
title: A dataset on concurrent and immediate retrospective measures of sensory perception and preferences of dark chocolates

description: This article describes a dataset providing temporal sensory perception data of five dark chocolates varying in cocoa content. One hundred and twenty-nine consumers evaluated the samples in two sessions, using a different sensory evaluation method in each session. A within-subject design was implemented: consumers in Panel 1 (36 men and 32 women aged 19 to 63 years old) started with the Temporal Dominance of Sensations (TDS) method, and consumers in Panel 2 (35 men and 26 women aged 19 to 61 years old) started with the Attack-Evolution-Finish dominance (AEF-D) method. Depending on the method, in each session and for each sample the consumers had to report the sensations they perceived concurrently (TDS) or retrospectively (AEF-D) to the tasting. After this descriptive task, they also rated their liking for the samples on a 9-point discrete scale. Finally, they answered questions related to the difficulty of the descriptive task. Consumer information included in the dataset are gender, age and frequency of consumption of dark chocolates. In addition to the possibility of being reused by sensometricians for the purpose of method comparison, this dataset is unique because it can be used to compare at the individual level declarative sensory measures collected in two conditions: concurrently or retrospectively to perception. Thus, the impact of memorization, stress or complexity of measurements on sensory description and liking can be studied. More specifically, this dataset can be used to study how the dynamics of perception of texture, mouthfeel and aroma attributes are integrated with static measures.
DOI: 10.17632/j83f5fsh6c
title: Lisbon, Portugal, hotel’s customer dataset with three years of personal, behavioral, demographic, and geographic information

description: Hotel customer dataset with 31 variables describing a total of 83,590 instances (customers). It comprehends three full years of customer behavioral data. In addition to personal and behavioral information, the dataset also contains demographic and geographical information. This dataset contributes to reducing the lack of real-world business data that can be used for educational and research purposes. The dataset can be used in data mining, machine learning, and other analytical field problems in the scope of data science. Due to its unit of analysis, it is a dataset especially suitable for building customer segmentation models, including clustering and RFM (Recency, Frequency, and Monetary value) models, but also be used in classification and regression problems.
DOI: 10.26180/5be402942000e
title: Large-scale International Study

description: The Large-scale International Study shows comparative availability and terms for a much larger sample of almost 100,000 books across those same five jurisdictions.
DOI: 10.6084/m9.figshare.12762410.v1
title: Gene database of Sulfolobus acidocaldarius DSM 639

description: <i>Sulfolobus acidocaldarius</i> is a thermophilic archaeon that thrives under acidic environment. Able to oxidize sulphur, the archaeon could grow at temperatures of 55-85 <sup>o</sup>C, with optimal growth at 70-75 <sup>o</sup>C. Potential to grow at thermophilic and acidic environments opens up the microorganism possible use in bioleaching, where microbes secretes metabolites that could help leach useful metals from ores or electronic scrap material. This work sought to provide fundamental information of the genetic repertoire of <i>Sulfolobus acidocaldarius</i> DSM 639 by parsing its annotated genome sequence downloaded from Genbank. Comprising gene name, gene function and gene sequence, the resource should be useful for understanding the metabolic machinery that helps endow <i>S. acidocaldarius</i> the ability to secrete metabolites for use in bioleaching. Additionally, gene sequence information available should also help guide molecular cloning work to heterologously express genes useful in bioleaching in mesophilic hosts such as <i>Escherichia coli</i>.
DOI: 10.17632/kbp7pp2xpy
title: Gyrase Inhibitor Data Set

description: Dataset for manuscript "A platform for predicting mechanism of action based on bacterial transcriptional responses identifies an unusual DNA gyrase inhibitor", submitted to Cell Reports.
DOI: 10.17632/wchp3bryrm
title: Dataset of Citrus Canker Growth Rate

description: The hypothesis of the research was computer vision, image processing programs could be helpful in early detection and identification of citrus canker. For this purpose, initially the dataset was developed by inoculating healthy citrus leaves with disease causing organism (X. citri pv. citri) under natural field conditions. Inoculation was done on susceptible citrus cultivars, C. paradisi (Grapefruit). The leaves were inoculated by injecting the bacterial suspension into fully expanded, immature leaves with needleless syringes. The images were captured in Crop Diseases Research Institute (C.D.R.I.), National Agricultural Research Centre (NARC), Islamabad Pakistan regularly to measure the growth rate of citrus canker. The dataset is hosted by the Department of Computer Software Engineering, Military College of Signals-NUST Islamabad, Pakistan and acquired under the mutual cooperation of the NUST and C.D.R.I., NARC Pakistan. The inoculated leaves images were further categorized into different stages. It defines the temporal change in citrus canker growth rate. Canker symptoms developed were noted daily (from day 1 to day 21). From this dataset we can estimate and predict the disease prevalence and spread in citrus orchard over a specified time and can develop an alarming system for monitoring and control of the disease before it reaches its maximum loss. The dataset will be helpful for researchers for both plant pathologists and computer vision experts for classifying, detection and identification of citrus canker over specified time. The dataset was developed based on different growth stages thus it will be a novel way to monitor the disease spread and identify the threshold level of the disease and take precautionary measures before it completely damages the whole fruit plant. Additionally, the computer vision experts using implication of image processing, machine learning and deep learning techniques can design and build an early warning system by modeling the different disease stages and thus on site efficient robust online application can be generated which could be very useful both for farmers and agriculture department for warning and early detection system. The dataset has immense potential to be use in various field of application. Plant pathologist can use this data for measuring and identification of citrus canker and further explore the effect of other environmental variable on disease development.
DOI: 10.17632/xjpvfjznvc
title: Dataset systematic review: arts therapies in forensic care

description: Raw data of: Effectiveness and Mechanisms of the Arts Therapies in Forensic Psychiatric Care. A systematic review, narrative synthesis and meta analysis.
Concerns data of 23 studies on arts therapies in forensic care. Eighteen of these studies were included for meta analysis (11 RCT/CCT, 7 prepost).
DOI: 10.6084/m9.figshare.14399483.v2
title: mRNA and DNAm references for kidney

description: The data contains a 272-marker expression reference and a 32-marker DNAm reference for Kidney, which can be used to estimate cell type fractions of endothelial cells, epithelial cells, fibroblasts and immune cells in Kidney tissue with EpiSCORE framework.<br>Kidney_Expref.csvA scRNAseq expression reference for Kidney. Each row is a marker gene (in gene symbol) and each column is a cell type. For each marker gene, the value of the reference matrix is the median expression level for each type of cells in scRNAseq data.<br>Kidney_Mref.csvA DNAm reference for Kidney. Each row is a marker gene (in entrezID) and each column is a cell type. The last column is the weight for each marker. The value of the matrix is the imputed DNAm level from expression reference.
DOI: 10.6084/m9.figshare.25257340.v1
title: Data and code for "Social interactions throughout life impairs longevity and age-specific mating succes in male parasitoids"

description: Here you can find the R code and the datasets for the analyses of the article: "Social interactions throughout life impairs longevity and age-specific mating succes in male parasitoids".
DOI: 10.17632/7sgmg89zb6
title: Title and Abstract Screening Data for Systematic Review

description: This is a dataset accompanying the study "A comprehensive systematic review dataset is a rich resource for training and evaluation of AI systems for title and abstract screening".
DOI: 10.17632/mhd99xr6sz
title: 2-hr time-lapse imaging of A. thaliana leaf primordia

description: Raw confocal stacks used for cell-cycle length measurement in the following study: 
TITLE: Cell-cycle-linked growth reprogramming encodes developmental time into leaf morphogenesis
JOURNAL: Current Biology
Article Type: Research Article 
Authors: Xin-Min Li, Hannah Jenke, Sören Strauss, Christos Bazakos, Gabriella Mosca, Rena Lymbouridou, Daniel Kierzkowski, Ulla Neumann, Purva Naik, Peter Huijser, Stefan Laurent, Richard S. Smith, Adam Runions, Miltos Tsiantis*
*Corresponding Authors: Miltos Tsiantis (tsiantis@mpipz.mpg.de)

Cellular growth of leaf primordia (genetic backgrounds and leaf nodes indicated) was monitored through live imaging at a high temporal resolution (2-hour time window).
Plasma membranes (labeled with tdTomato fluorescence signals) were imaged using A Leica TCS SP8 Confocal Laser Scanning Microscope, and confocal images were channel-split and converted into .tif format stacks using FIJI. See the related publication for more details.
DOI: 10.6084/m9.figshare.11967915.v1
title: L2 Section, Sample 22. 52 Year Old Female

description: A 3 mm thick para-sagittal slice of L2 vertebra from an 52 year old female embedded in PMMA then micro-milled block surfaces carbon coated for quantitative 20kV BSE SEM.<br><br>Later polished to remove coating and then imaged with high-contrast X-Ray Micro-tomography at 90 kV with 30 micron voxel size.<br><br>
DOI: 10.6084/m9.figshare.20288538.v1
title: Spatial and Temporal Variability of Microplastic Abundance in Estuarine Intertidal Sediments

description: To investigate small-scale temporal and spatial variability in microplastic abundance and distribution, microplastics were collected from the intertidal zone of a sandy beach in the Charleston Harbor estuary, South Carolina, every 1 to 2 days over a 17-day period.
DOI: 10.6084/m9.figshare.21453864.v1
title: mtDNA assembly

description: mtDNA assembly of<em> Chrysomela aeneicollis</em>
DOI: 10.6084/m9.figshare.5667679.v1
title: TRANSCRANIAL DIRECT CURRENT STIMULATION AND MANUAL ASYMMETRIES: THE EFFECT OF THE STIMULATION ON THE MANUAL DEXTERITY

description: ABSTRACT The aim of this study was to evaluate the effect of transcranial direct-current stimulation (tDCS) on the primary motor cortex (M1) in the manual performance asymmetries in a manual dexterity tasks. The sample consisted of 28 volunteers, right-handed, men and without neurological impairment. The task (Grooved Pegboard) consisted of inserting 25 pins in 25 receptacles, as soon as possible. The task was executed in the pretest with both hands to define the level of manual asymmetry. tDCS or Sham were applied a week after the pretest, then the subjects were evaluated in the post-test. The results revealed that the effects of tDCS in M1 did not reduce asymmetries in a manual dexterity task. However, only the tDCS group improved the performance from pretest to the posttest (p &lt;0.05) in both hands. Stimulation of the right M1 may have generated benefits in the contralateral M1.