cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11911008.v1
title: IM_Plants_Verts_SSI_rcp26_mean.tif

description: Spatial prioritization for plants and vertebrates in the Asia tropics under climate change (RCP 2.6). Values in each prioritization dataset are 0 to 1 representing the rank order of each cell (1 = highest priority) scaled by the total number of cells in the solution. Prioritizations were produced with Zonation conservation planning software v4.0.0 with setting to optimize planning for climate change (see methods description in Hannah <i>et al</i>. 2020 <i>Ecography </i>https://doi.org/10.1111/ecog.05166). Existing protected areas as defined by the World Database of Protected Areas and areas of intensive agriculture or urban land use were excluded from the prioritization and appear as NoData.
DOI: 10.6084/m9.figshare.22817369.v1
title: Resultado Finales del Proyecto Lendiem ( Diseño de una herramienta de construcción social colaborativa para el estudio y desarrollo de lenguajes digitales emergentes basados en símbolos e iconos) Final Results of the Lendiem Project (Design of a collaborative social construction tool for the study and development of emerging digital languages based on symbols and icons)

description: Base de datos que muestra los resultados del testeo de una herramienta en formato Android que busca implementar mejoras en los usos y formas para escribir emojis, para comprobar empíricamente las limitaciones tecnológicas de este lenguaje y sus consecuencias socio-comunicativas. <br> This database shows the results of testing a tool in Android format that seeks to implement improvements in the uses and ways to write emojis to empirically verify the technological limitations of this language and its socio-communicative consequences.
DOI: 10.6084/m9.figshare.11815149.v1
title: CODE.rar

description: land use change, optimization models, cellular automata, simulation
DOI: 10.6084/m9.figshare.12743816.v1
title: Gene database of Bacteroides fragilis NCTC 9343

description: An obligate anaerobe, <i>Bacteroides fragilis</i> is a Gram-negative commensal bacterium that inhabit the colon section of the human gastrointestinal tract. Capable of causing disease if displaced to the bloodstream, the bacterium is increasingly of interest as a source of enzymes for biotechnological degradation of plant cellulosic material. This work sought to provide fundamental information about the genetic repertoire of <i>B. fragilis</i> NCTC 9343 by parsing the annotated genome sequence of the bacterium downloaded from Genbank. Comprising gene name, gene function, gene sequence, the resource should find use in molecular cloning workflow seeking to apply the genetic capability of <i>B. fragilis</i> to other biotechnology host. In addition, the gene database could also inform fundamental work to elucidate basic biology of this intestinal commensal.
DOI: 10.6084/m9.figshare.27991574.v2
title: EPI-Clone dataset X.1 : Targeted DNAm+DNA+RNA-seq from CD34+ BM cells of a healthy donor

description: This is dataset supports parts of the EPI-Clone manuscript. Here, targeted single cell methylation profiling (scTAMseq) was combined with targeted RNA-seq from the same cells (SDR-seq) to profile CD34+ cells from bone marrow of a healthy 51-year old male individual.Dataset is a seurat (v5) object with the following assays, reductions and metadata:<br><b>ASSAYS:</b><br>RNA: RNA expression data for 120 target genesDNAm: DNA methylation data, containing binary observations (0: amplicon not observed, i.e. dropout or absence of DNA methylation, 1: amplicon observed, i.e. DNA methylation). See the paper on scTAMseq<b>DIMENSIONALITY REDUCTION</b>pca, dynapca: PCA performed on all methylome data, or on consensus dynamic CpGs onlyumap, dynaumap: UMAP computed on all methylome data, or on consensus dynamic CpGs onlyprojected: Methylome data projected on the reference CD34+ UMAP coordinate (add DOI!)rnapca: PCA performed on RNA datarnaumap: PCA performed on RNA dataFor strategies how to obtain dimensionality reduction that reflect clonal identity, please see the github page accompanying the manuscript.<b>METADATA</b>nFeature_RNA, nFeature_DNAm, nFeature_NonHhaI: Number of RNA , DNAm and genotypoing amplicons observedprojected.cluster: Cell type, according to DNA methylation based projection on the CD34+ referenceCellType_rna: Cell type annotation according to RNA expressionCountsChrY: Y chromosome read countsEPIclone_id: Clone, according to EPI-clone algorithm
DOI: 10.17632/2vzp6ss7vg
title: Comparative Morphological and Phytochemical Study for Disease Diagnosis in Rose, Hibiscus, and Marigold Leaves: A Multi-Class Approach".

description: Tittle: Comparative Morphological and Phytochemical Study for Disease Diagnosis in Rose, Hibiscus, and Marigold Leaves: A Multi-Class Approach".
In this dataset, This dataset contains 4,479 labeled images of three plant species: Rose (Rosa), Marigold(Tagetes), and China Rose(Hibiscus Rosa-Sinensis)-sourced from various locations in Bangladesh, including flower garden, agricultural fields, Flower stores, and other sources.Its primary purpose is to facilitate plant disease identification and classification. By enabling early and accurate disease detection, the dataset aims to support advancements in precision agriculture, plant pathology, and environmental sustainability.The distribution of leaf and flower samples is as follows:
Classes:
Rosa (Rose): Includes healthy and diseased samples.
Tagetes (Marigold): Includes healthy and diseased samples.
Hibiscus Rosa-Sinensis (China Rose): Includes healthy and diseased samples.
Image Resolution: Standardized resolution to [specify resolution if applicable].
File Format: JPEG/PNG [specify format].
Labels: Multi-class labels indicating plant species and health status.
Rose(Rosa):
 Original: 3010 samples
⦁ Healthy Leaves: 1167 samples
⦁ Diseased Leaves: 1613 samples(Total)
⦁ Flower disease : 230 samples

Collection Sites: 1,745 samples from Golap Gram, Ashulia, Dhaka, Bangladesh, and 1,265 from Nearest store and Flower Garden,Ashulia,Dhaka, Bangladesh.

Marigold(Tagetes):
 Original: 902 samples
⦁ Healthy Leaves: 273 samples
⦁ Diseased Leaves: 416 samples(Total)
⦁ Flower disease : 213 samples

Collection Sites 902 from Nearest store and Flower Garden,Ashulia,Dhaka, Bangladesh
China Rose(Hibiscus rosa-sinensis):
 Original: 567 samples
⦁ Healthy Leaves: 329 samples
⦁ Diseased Leaves: 194 samples(Total)
⦁ Flower disease : 44 samples

Collection Sites 902 from Nearest store and Flower Garden,Ashulia,Dhaka, Bangladesh

Purpose
This dataset's primary purpose is to support research in plant disease identification and classification for three species: Rose (Rosa), Marigold (Tagetes), and China Rose (Hibiscus Rosa-Sinensis). By providing diverse samples collected from flower gardens, agricultural fields, flower stores, and other locations in Bangladesh, it can be used to train models like Convolutional Neural Networks (CNNs) to identify and classify anthracnose based on visual features such as leaf shape and color. This contributes to advancements in precision agriculture, plant health management, and sustainable farming practices.
DOI: 10.6084/m9.figshare.21249081.v2
title: Genome assembly, annotation, ChIP-Seq and DNase-Seq of triploid cultivated banana

description: Genome assemblies and annotations of Cavendish and Gros Michel bananas. Results of ChIP-Seq and DNase-Seq of Baxi. We also upload the scripts for mapping origins of chromosome segments of triploid cultivated bananas.
DOI: 10.6084/m9.figshare.25795078.v1
title: Dataset of 16S rRNA sequences of 111 healthy and Newcastle disease infected caecal samples from multiple chicken breeds of Pakistan

description: The dataset is on amplicon sequencing of V4 region of 16S rRNA gene to recover bacterial and archaeal taxa from the caeca of multiple chicken breeds of Pakistan. These include chicken breeds commonly raised at commercial level, Naked Neck, Black Australorp, Rhode Island Red, White Layer, and Broiler (Ross). All the breeds were challenged with Newcastle Disease Virus (NDV), with vaccination against the disease also explored. This resulted in samples belonging to four treatment groups as: Control; Vaccinated; Vaccinated and Challenged; and Non-vaccinated and Challenged. These were raised on an antibiotic free diet in a semi-controlled farming setup. Additionally, 16S rRNA amplicon sequencing of caecal DNA from day old chicks was done to compare the microbial profiles with the mature chicken sampling of four groups. A total of 11,544,255 paired-end reads from 111 samples were initially obtained. After quality trimming, error correction, and overlapping of paired-end reads, 10,749,141 reads were retained on which Operational Taxonomic Units (OTUs) were obtained at 99% similarity. This resulted in a total of 74,049 unique OTU sequences. Using predictive modelling, the MetaCyc functional pathways, as well as KEGG orthologs were also recovered. The generated data is then helpful to explore microbial interactions in gastrointestinal tract with respect to NDV vaccination and infection, together with increased understanding of chicken health and productivity.
DOI: 10.6084/m9.figshare.27968832.v2
title: Sequence alignments and phylogenetic trees for Septoria araujiae Speg.

description: Phylogenetic trees resulting from Maximum Likelihood and Bayesian Inference analysis of the concatenated tub2–ITS–EF-1α–LSU sequence alignments.The four alignments used are included.<br>
DOI: 10.6084/m9.figshare.28713101.v1
title: Supplementary Material for: A Century of HMA: A Remarkable Response to Azacitidine Monotherapy for Relapsed Acute Myeloid Leukemia, a Case Report

description: Acute myeloid leukemia is a disease of the elderly with a median age at diagnosis of 68 and with a very poor prognosis outside of those patients who have cytogenetic and/or molecular findings which confer a better prognosis. Most fit patients are treated with chemotherapy and then allogeneic hematopoietic stem cell transplant if they are intermediate or poor risk by ELN 2022 criteria (aSCT). aSCT is the mainstay of curative treatment although many patients are not candidates due to age, performance status, and comorbidities. In patients who are not candidates for curative treatment, low-intensity chemotherapy regimens, including monotherapy with hypomethylating agents such as azacitidine or decitabine, may be trialed with a palliative intent. In patients who have relapsed disease, responses to therapy are generally dismal and overall survival is extremely low. Here, we report a patient with relapsed AML with inversion of chromosome 16 who has been maintained on azacitidine monotherapy for over 11 years with excellent response.
DOI: 10.17632/cvfxm2j3w8
title: Testicular Health in Adolescents A Qualitative Study

description: Young men have poor outcomes with torsion of testis due to late presentation to hospital. This study was designed to generate the hypothesis of why this is the case by exploring the views and experiences of young men and their families regarding testicular health, with a focus on the reaction to a new finding of testicular pain. We utilised qualitative methodology to generate a hypothesis. This is the raw data generated from one on one interviews semi-structured interviews. The young men were recruited from out of hours clubs utilising a range of contact methods. The target population were young men 11-19 years. The young men were allowed to choose a chaperone of their choice and were given a small incentive for taking part. All but one interview was conducted at home, participant 2 was conducted in hospital. All young men chose their parent or guardian as chaperone. Median age was 13 years (range 11-18 years). Demographics crossed the social strata in two regions on the UK. Racial demographic was more limited with all but one family white Caucasian. All interviews were undertaken by the chief investigator between Dec 2015 to Dec 2017. The early interviews were also transcribed by the chief investigator and the later a professional transcription service. Hence the variation in transcription styles. All families were asked if they were happy for the content of the recordings to made public following the interviews, and all signed a consent form affirming this. The project is IRAS registered and gained ethical approval: IRAS ID 167713 REC Ref 15/YH/0299. The data has been analysed by the investigators using a thematic framework methodology, but could be open to other form of analysis. The authors were interested in why young men might delay to hospital, and once the finding of poor knowledge was established in early interviews, the project evolved to investigate what young people and their families feel are effective methods for testicular health education.
DOI: 10.17632/hh8t8ypf4z
title: Understanding the Acceptance of Cloud Productivity Tools by End Users

description: Dataset used in the article: Understanding the Acceptance of Cloud Productivity Tools by End Users
DOI: 10.17632/hzyrrktjs2
title: Effects of temperature on life history traits of Radix natalensis Data sheet

description: Data sheet with results of fecundity, growth, survival of Radix natalensis snail exposed at different temperatures of a period of 9 weeks. daily water temperature recordings over a period of 9 weeks. The hypothesis: Ho : temperature does not affects the life history traits of Radix natalensis & HA( alternative hypothesis) :temperature does affect the life history traits. Observed results shows that warmer temperature promote ,growth and survival of the snails under study, while extreme low and high temperatures do the opposite
DOI: 10.17632/px6rttdr6s
title: Data for: Single image modeling (SIM) for predicting the temperature and air flows of outdoor air zones in regional planning
DOI: 10.17632/z8chw4cb4v
title: Blood Donation Questions and Answers Dataset

description: The Blood Donation Dataset is a curated collection of closed-ended question-answering pairs centred around motivation, the importance of blood donation, donors', characteristics, culture, beliefs, traditions and practices among the Tanzania regions. The dataset is designed to facilitate research and development of natural language processing (NLP), particularly in significance of donating blood and providing a clarity on different misconceptions which hinder donors from continuing to donate and encouraging new donors. This dataset includes a diverse range of questions that explore motivation, the blood donation process, the significance of donating blood, blood donation misconceptions, culture, beliefs, practices, and knowledge on blood donation to shape social behavior and interactions. Each question is accompanied by a conscience, factual answer, making this dataset ideal for training and evaluating the AI model in understanding knowledge and cultural issues.
DOI: 10.6084/m9.figshare.13698973.v1
title: Osmanthus fragrans gene annotation

description: Osmanthus fragrans gene annotation
DOI: 10.6084/m9.figshare.28593677.v2
title: Newick of Teleost TLR3 Gene for FigTree

description: <b>Newick File for TLR3 of 10 species of Teleost fis</b><b>h, used to visualize a Teleost gene tree in FigTree </b><b>V1.4.4</b><b>. </b>Sequences were obtained via tBLASTn search against a Danio rerio (zebrafish) TLR3 sequence collected from Alphafold. Sequences were aligned in AliView, and converted from FASTA to newick file using phyML.
DOI: 10.6084/m9.figshare.28952606.v26
title: Logic innovation NEW

description: Logic innovation
DOI: 10.6084/m9.figshare.5235976.v1
title: Runx1 mediates the development of the granular convoluted tubules in the submandibular glands

description: These are low data from figures.
DOI: 10.6084/m9.figshare.24649929.v2
title: Solidarity in Europe (SiE) Survey Dataset - 2023 Wave

description: The 2023 SiE dataset on European solidarity is built on a large yearly survey designed by the EUI 'Solidarity in Europe' research team and implemented by YouGov. This is the sixth wave of the survey, fielded between 16 March and 24 April 2023, covering a number of topics including: European attitudes, public support for cross-border and domestic solidarity and redistribution, also against hypothetical crisis scenarios; evaluation of different national and supranational redistributive public policy instruments; political parties and attitudes towards democracy and national and international political institutions; salience of issues and threats facing Europeans, including attitudes on security and defence (e.g. Russia, Ukraine, NATO and a European army), inflation, health, housing, among others; strength of national and European identities and individual perceptions concerning immigration, the economy, political ideology, religion and voting preferences; as well as classical demographic indicators. The survey has inquired 24.261 respondents in 16 EU countries (Denmark, Finland, France, Germany, Sweden, Greece, Hungary, Italy, Lithuania, Netherlands, Poland, Romania, Spain, Bulgaria, Slovakia, Croatia) and the United Kingdom.
DOI: 10.6084/m9.figshare.3557205.v1
title: Appendix B. Sensitivity analysis of the effect of cell resolution on centroid estimates.

description: Sensitivity analysis of the effect of cell resolution on centroid estimates.
DOI: 10.6084/m9.figshare.8949320.v1
title: spikesort_S16.mat

description: Fine-wire intramuscular EMG Subject 14 Protocol: Long Residual Limb Spike-Sorted Data
DOI: 10.17632/ggh6g39ps2
title: CNN for Melanoma Detection Data

description: This dataset is from Kaggle:

https://www.kaggle.com/datasets/hasnainjaved/melanoma-skin-cancer-dataset-of-10000-images

The original article that published this dataset is described below.

M. H. Javid, W. Jadoon, H. Ali and M. D. Ali, "Design and Analysis of an Improved Deep Ensemble Learning Model for Melanoma Skin Cancer Classification," 2023 4th International Conference on Advancements in Computational Sciences (ICACS), Lahore, Pakistan, 2023, pp. 1-6, doi: 10.1109/ICACS55311.2023.10089716.

Abstract: Due to global warming and the ultraviolet rays of the sun, skin diseases are spreading rapidly. If skin diseases are not treated during early stages, they can be dangerous to human life. Melanoma is a deadly type of skin cancer. Dermatologists find it difficult to diagnose melanoma skin cancer because of its complex structure. Significant human lives could be saved if melanoma cancer was diagnosed quickly and accurately. Expert dermatologists diagnose melanoma by examining the lesion's color images. It is very difficult to diagnose melanoma manually, and there is a risk of human error. Therefore, computer vision-based methods that diagnose melanoma disease correctly are offered, and there is little room for error as compared to manual diagnostic methods. In this research, we took images from multiple publicly available ISIC (International Skin Imaging Collaboration) data sets and developed a balance data set that has 10,500 images for training and testing. An ensemble of four convolution neural network (CNN) architectures (ResNet50, EfficientNet B6, InceptionV3, Xception) were utilized and trained on this dataset for classification of melanoma skin cancer. The experimental results of the proposed model show that it correctly classifies melanoma skin cancer. The proposed model gives satisfactory results as compared to other state-of-the-art methods.
URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10089716&isnumber=10089626
DOI: 10.17632/kgk3jbx9xb
title: UK dataset of self-referential valence, imageability and subjective frequency ratings of 300 adjectives for use in cognitive-emotional tasks

description: The present dataset provides subjective ratings of valence, imageability and frequency for 150 positive and 150 negative adjectives describing personality characteristics. The words in this dataset can be used for the development or validation of existing or novel experimental tasks used in a wide range of cognition research.

In Phase 1 of data collection, an initial sample of 100 participants provided self-referential valence ratings for a list of 482 adjectives depicting personality characteristics. These ratings were averaged across the sample to facilitate the exclusion of ambiguous words rated neither negative nor positive and produce a final list of 300 words (150 negative and 150 positive). In Phase 2 of data collection, we sought to further characterise these 300 words with three separate online surveys collecting ratings of self-referential valence, imageability and subjective frequency. A further 102 participants provided self-referential valence ratings, 200 participants provided imageability ratings and 202 participants provided subjective frequency ratings. Basic demographics and data on depressive symptoms and state anxiety were collected from all participants; see Tables 1a and 1b.  The raw ratings collected in each of the four surveys are provided in the "Raw Datasets" folder, and the exact surveys used are provided in Supplementary file 1.

We computed a series of statistics (mean, standard deviation, standard error, number of ratings received, median, minimum rating, maximum rating, range, skew, kurtosis) for each type of rating for each of the 300 personality descriptors. The statistics for self-referential valence, imageability, subjective frequency and word length were merged into a final dataset (see Positive and negative personality descriptor words dataset). We pooled scores from all participants for the reported statistical analyses, based on exploratory analyses showing age, gender and depression/anxiety symptoms had little effect on participant ratings (see Figures 2-8). However, if greater stratification is desired, specific population statistics can be re-calculated from the raw datasets. The R script we used for data cleaning and analysis is provided in Supplementary file 2. 

We also explored the relationship between the initial self-referential valence ratings collected in Phase 1 (first Qualtrics survey) and those collected during Phase 2 (second Qualtrics survey) for our final list of 300 words. We found the mean ratings for each word to be highly correlated between the two surveys (Spearman’s rho = 0.97, p < .01; see Figure 9). Additionally, we conducted a mixed effects analysis of variance to statistically assess the effects of data collection phase on the self-referential valence ratings acquired for each personality descriptor (see Self-referential valence reliability dataset). 

Only fully anonymised data is provided – all pseudonymous variables have been removed by the research team prior to sharing.
DOI: 10.17632/txct4k36ct
title: Sunflower image dataset from Bangladesh

description: The dataset is a comprehensive collection designed for sunflower detection in object detection tasks. The original dataset consists of 1,649 high-quality images capturing various stages and angles of sunflowers. To enhance the model's robustness and generalization capability, data augmentation techniques were applied, expanding the dataset to a final count of 4,286 images. The images are meticulously labeled and presented in the Pascal VOC format, ensuring compatibility with a wide range of deep learning frameworks and facilitating efficient training and evaluation processes in object detection models.
DOI: 10.4121/uuid:5725add4-7fe8-41d1-a452-b1fc011e0bae
title: Air Cargo Transport Network (ACTN) Dataset

description: This dataset contains (i) a set of worldwide airports that are relevant for the global air cargo transport (ii) a dataset containing aircraft-specific yearly recorded frequencies (referring to the year 2014) for all passenger and cargo airlines (integrators such as FedEx are excluded) for all different origin destination (OD) airport pairs (iii) a dataset for each integrator FedEx, UPS, DHL with yearly estimated cargo capacity (expressed in tonnes) referring to the year 2019 for every OD airport pair. The estimation was based on a dataset containing all recorded flights for each OD airport pair of interest, which was filtered to extrapolate only flights operated by the integrators