cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14213909.v2
title: 30-m sugarcane harvest maps in Brazil

description: This dataset provides 30-m spatial resolution sugarcane harvest maps (2016-2019) for fourteen states in Brazil (including São Paulo, Goiás, Minas Gerais, Mato Grosso do Sul, Paraná, Mato Grosso, Bahia, Rio de Janeiro, and Espírito Santo in south-central Brazil; and Alagoas, Pernambuco, Paraíba, Rio Grande do Norte, and Sergipe in northeast Brazil). The mapped areas constitute over 98% of the sugarcane cultivation area in Brazil. (1) Methodology and performance A phenology-based method was developed to produce the sugarcane distribution maps over the entire Brazil by incorporating the flexible phenology conditions of sugarcane into a time-weighted dynamic time warping method (TWDTW). Validations against field sample data and agricultural statistical data demonstrated the maps were in high accuracy. (2) Dataset information The dataset is provided in geotif (*.tif) format with pixel values of 1 for sugarcane and 0 for non-sugarcane. Data named "Brazil_sugarcane_2016_v2.tif" means sugarcane harvest map in 2016. Any questions about the dataset can be corresponded to Wenping Yuan (yuanwpcn@126.com).
DOI: 10.6084/m9.figshare.21166171.v1
title: CONLIT

description: This dataset includes derived data on a collection of ca. 2,700 books in English published between 2001-2021 and spanning twelve different genres. The data was manually collected to capture popular writing aimed at a range of different readerships across fiction (1,934) and non-fiction (820). Genres include forms of cultural capital (bestsellers, prizewinners, elite book reviews), stylistic affinity (mysteries, science fiction, biography, etc.), and age-level (middle-grade and YA). The dataset allows researchers to explore the effects of audience, genre, and instrumentality (i.e. fictionality) on the stylistic behavior of authors within the recent past across different classes of professionally published writing.
DOI: 10.6084/m9.figshare.25416577.v1
title: <b>Unlabeled judgments from JEC-UFSC</b>

description: This repository has the 300 raw judgments used during the experimentation for the paper "Using GPT-4 as a Factor Extractor for Brazilian Consumer Law Judgments". It also store the raw logs with the OpenAI API responses.
DOI: 10.17632/k8jcgtt4mm
title: Antiviral Potential of β-Caryophyllene: An Exploration in Combating HSV-1 from In-Silico to In-Vitro

description: 1.The raw data from the Surface Plasmon Resonance (SPR) experiments are available as supplementary materials. These data provide detailed information on the binding kinetics between β-Caryophyllene and HSV-1 glycoprotein, including association and dissociation rates. The SPR data are essential for understanding the interaction strength and stability, which are discussed in the manuscript's results section. These materials are available for further analysis and verification through the supplementary files provided with this submission.
2.Microscopic images used for measuring the diameter of viral plaques are available as supplementary materials. These images were captured on days 2 and 3 of the experiment and were utilized to quantify the antiviral effects of β-Caryophyllene by analyzing the plaque reduction across different
DOI: 10.6084/m9.figshare.2066295.v1
title: CAPTURES_COLONIES_CALONECTRIS_GALICIA_2008-13.xls

description: The Cory’s shearwater (<i>Calonectris diomedea</i>) is a pelagic seabird that has recently established three new colonies in Galicia (NE Atlantic) thus expanding its distribution range 500 km northwards. This is the Dataset of a study aimed to describe the establishment and early progress of the new Galician populations and to determine the genetic and morphometric characteristics of the individuals participating in these foundation events. Using 10 microsatellite loci, we tested the predictions supported by different seabird colonization models.
DOI: 10.6084/m9.figshare.21440487.v2
title: Rehearsal_040922.mat

description: Data from the reherarsal done on 04/09/22.
DOI: 10.6084/m9.figshare.24942720.v1
title: PCR files and fish sampling data

description: brain transcriptome data after stressing zebrafish acutely
DOI: 10.6084/m9.figshare.25918624.v1
title: Domestication of rice may have changed its arbuscular mycorrhizal properties by modifying phosphorus nutrition-related traits and decreasing symbiotic compatibility

description: · Modern cultivated rice (<i>Oryza sativa</i> L.) typically experiences limited growth benefits from arbuscular mycorrhizal (AM) symbiosis. This could be due to the long-term domestication of rice under favorable phosphorus conditions. However, there is limited understanding of whether and how the rice domestication has modified AM properties. Thereby, this study compared AM properties between a collection of wild (<i>O. rufipogon</i> Griff.) and domesticated rice genotypes and investigated the mechanisms underlying their differences by analyzing physiological, genomic, transcriptomic, and metabolomic traits critical for AM symbiosis.· The results revealed significantly lower mycorrhizal growth responses and colonization intensity in domesticated rice compared to wild rice, and this change of AM properties may be associated with the domestication modifications of plant phosphorus utilization efficiency at physiological and genomic levels. Domestication also resulted in a decrease in the activity of the mycorrhizal phosphorus acquisition pathway, which may be attributed to reduced mycorrhizal compatibility of rice roots by enhancing defense responses like root lignification and reducing carbon supply to AM fungi.· In conclusion, rice domestication may have changed its AM properties by modifying P nutrition-related traits and reducing symbiotic compatibility. This study offers new insights for improving AM properties in future rice breeding programs to enhance sustainable agricultural production.
DOI: 10.6084/m9.figshare.16923463.v1
title: Autonomous Vehicles Crash and Disengagement Report (CA DMV)

description: Autonomous Vehicles (AVs) are being extensively tested on the public roads in several states in the USA, such as California, Florida, Nevada and Texas. AV utilisation is expected to increase into the future, given rapid advancement and development in sensing and navigation technologies. For the transparent deployment of AVs in California, California Department of Motor Vehicles (CA DMV) commissioned AV manufacturers to draft and publish reports on disengagements and crashes. The data is in the form of reports that need to be processed before running any analysis. This data set contains processed crash and disengagement data. Additionally, supplementary information such as land-use characteristics and shapefiles are also provided. This data is updated every year since CA DMV publishes new data annually. The processed data, along with the supplementary data, will assist in accelerating the research in this area.
DOI: 10.6084/m9.figshare.19583794.v1
title: Investigating the presence of adsorbed species on Pt steps at low potentials

description: The study of the OH adsorption process on Pt single crystals is of paramount importance since this adsorbed species is considered the main intermediate in many electrochemical reactions of interest, in particular, those oxidation reactions that require a source of oxygen. So far, it is frequently assumed that the OH adsorption only takes place at potentials higher than 0.55 V (versus the reversible hydrogen electrode) on Pt, regardless of the Pt surface structure. However, by CO displacement experiments, alternating current voltammetry, and Raman spectroscopy, we demonstrate here that OH is adsorbed at more negative potentials on the low coordinated Pt atoms, the Pt steps. This finding opens a new door in the mechanistic study of many relevant electrochemical reactions, leading to a better understanding that, ultimately, can be essential to reach the final goal of obtaining improved catalysts for electrochemical applications of technological interest.
DOI: 10.6084/m9.figshare.27579201.v1
title: Complete Dataset for mining association rules in a multi-country dataset

description: This dataset is part of the research to mine association rules from a multi-country dataset
DOI: 10.6084/m9.figshare.5267800.v1
title: Fossil fruits of <i>Canarium</i> (Burseraceae) from Eastern Asia and their implications for phytogeographical history

description: The genus <i>Canarium</i> contains approximately 78 species distributed in the Old World tropics and subtropics. <i>Canarium</i> is characterized by a distinctive drupaceous fruit with a trilocular endocarp derived from three fused pyrenes. Here, we describe new <i>Canarium</i> fossil fruits from the late Oligocene of the Yongning Formation, the Miocene of the Erzitang Formation, and the late Miocene of the Foluo Formation in Guangxi Province, South China, providing the first confirmed fossil occurrences of <i>Canarium</i> in eastern Asia. The fruits of <i>Canarium guangxiensis</i> Han & Manchester sp. nov. are ovoidal to spindle shaped, 22.8–34.3 mm long, and 10.7–14.6 mm wide. Computed tomography (CT) scan was used to study the morphological and anatomical characters of fossil and modern <i>Canarium</i>, facilitating identification of the fossil fruits. This new occurrence supplements other megafossil records of <i>Canarium</i> fruits from the Eocene in North America, the Eocene to Oligocene in Europe, the Oligocene in Africa, the Oligocene to Miocene in Asia and from the Pleistocene in Australia and the Pacific islands. The fossil record indicates a wide dispersal of <i>Canarium</i> over the Northern Hemisphere during the Eocene and Oligocene, followed by a geographical contraction during the Miocene as the result of its extinction from North America and Europe. The origin and migratory routes of this genus are not clearly resolved, but based on the fossils known so far, we hypothesize that <i>Canarium</i> may have had a North American Eocene origin, with subsequent spread to Eurasia and Africa, followed by dispersal to the Southern Hemisphere.
DOI: 10.60893/figshare.apl.28920329.v1
title: Supplementary Materia

description: the lattice constants, thickness, and space group of Cr2TiC2O2 under different charge doping concentrations, phonon spectrum of Cr2TiC2O2, and band structure of Cr2TiC2O2.
DOI: 10.17632/6jc6w2v5nf
title: CUAS_Literature_DataSet

description: The framework for this Literature_DataSet was adopted from (Alzubaidi et al. 2021), starting from the identification, screening, and selection stages, which included over two hundred (205) research papers in the last five years from publishers such as IEEE, Nature, Springer, ACM, Elsevier, and MDPI. 
All reviewed papers have tackled the drone classification problem (detection and identification) using RF sensors. Each paper was categorized as a novel approach, survey/review, dataset description, or regulation/standard, with mandatory remarks explaining specific ADRO procedures (e.g., jamming, spoofing, direction finding).
DOI: 10.6084/m9.figshare.14186624.v1
title: Zemax Deisgn File for MODE primary lens.zmx

description: Zemax design file for MODE telescope primary lens
DOI: 10.6084/m9.figshare.14386754.v4
title: Supplementary material: Exploration of the impact of anticipated regret in lottery-based incentives on engagement levels of low-SES vocational students in a health promotion context

description: Public health literature has shown that individuals with lower socioeconomic status (SES) are generally less physically active and adhere to poorer diets than higher SES individuals. To promote healthier lifestyles in lower SES populations, we hosted a digital health promotion program among first- and second-year, vocational students at a school in The Netherlands. Particularly, in a pilot we evaluated whether this target audience could be engaged with an mHealth application using lottery-based incentives that trigger feelings of anticipated regret. Especially, we have studied the social and interpersonal aspects of regret lotteries in a within-subject experimental design. Additionally, we have studied the impact of varying payout schedules in terms of timing and monetary value in a between-subject experimental design. Results from a sample of 36 students between 15 and 25 years of age provided initial insights into effective configuration of lottery-based incentives that trigger feelings of anticipated regret to promote healthier lifestyles among lower SES vocational students. Particularly, implementation of incentives that include social, interpersonal, and competitive aspects are promising to foster user engagement levels. Furthermore, it was found that varying payout schedules may further promote engagement levels, although optimal configurations have still to be determined.<br><br><b>List of files</b><br>`0-intervention-design.pdf` includes visualisations of the mHealth application.<br><br>`0-list-of-variables.pdf` includes an overview of different variables within the dataset.<br>`1a-intervention-data.csv` includes data that was recorded from the intervention mHealth tool.<br>`1b-survey-data.csv` includes data that was recorded form a post-test survey.
DOI: 10.6084/m9.figshare.24470719.v1
title: scRNA-seq data of human skin from patients with atopic dermatitis

description: This is the scRNA-seq data of non-lesional and lesional human skin from patients with atopic dermatitis, which is used for running the main CellChat tutorial entitled "CellChat-vignette" (Inference and analysis of cell-cell communication using CellChat (htmlpreview.github.io)), and another tutorial entitled "Comparison_analysis_of_multiple_datasets.Rmd" (Comparison analysis of multiple datasets using CellChat (htmlpreview.github.io))
DOI: 10.6084/m9.figshare.28942514.v1
title: <b>新种 </b><b><i>Cudonia</i></b><b> （</b><b><i>Cudoniaceae</i></b><b>， </b><b><i>Rhytismatales</i></b><b>) from Yunnan, China based on morphological characteristics and phylogenetic analysis</b>

description: The genus <i>Cudonia</i> in the family <i>Cudoniaceae</i>, is widely distributed in the temperate regions of the Northern Hemisphere, and has a limited distribution in subtropical regions. The main characteristic of this genus is that its ascocarps are rounded and club-shaped. In this study, a novel species and a known species of <i>Cudonia</i> from Yunnan, China are introduced, based on morphological and molecular phylogenetic analysis. Phylogenetic analysis based on sequence data from rDNA internal transcribed spacer (ITS). <i>Cudonia cangshanensis</i> is reported as a new species, and it is characterized by its stipe long clavate, slightly swollen at the base, clearly striated longitudinally at the upper part, the hymenium is relatively thick (`X = 162 μm), ascospores are relatively large (`X = 67 × 3.0 μm). In addition, a new collection <i>Cudonia gracilistipitata </i>from Dali Autonomous Prefecture has been record. New species and collection detailed description and illustrations are provided in this study.
DOI: 10.6084/m9.figshare.7039514.v4
title: Wikipedia Cultural Diversity Dataset

description: For each existing Wikipedia language edition, the dataset contains a classification of the articles that represent its associated cultural context, i.e. all concepts and entities related to the language and to the territories where it is spoken (places, traditions, language, politics, agriculture, biographies, events, etcetera.).<br>For each article, the dataset contains a rich set of context-related features, including geolocation, ISO codes, wikidata properties related to the language or to the corresponding country or territories, as well as related categories, among many other metadata. Other general article features are additional included, such as the number of edits and number of pageviews.<br>The methodology employed to classify articles through machine learning is described in:<br> Wikipedia Cultural Diversity Observatory: Cultural Context Content Methodology<br> Miquel-Ribé, M., & Laniado, D. (2018). Wikipedia Culture Gap: Quantifying Content Imbalances Across 40 Language Editions. Frontiers in Physics.<br>The uses of the dataset are several but we want to highlight three: 1) Wikipedia Culture Gap assessment and overall improvement of the cultural diversity, 2) Academic research in the Digital Humanities field, and 3) User-generated Content based technologies.You can read more at wcdo.wmflabs.org.<br>
DOI: 10.17632/5gc7hwydwg
title: Disease Dataset of Wheat: Original, Augmented, and Balanced for Deep Learning

description: The dataset originated from a wheat crop field in Bangladesh where five separate wheat leaf image categories exist. The dataset contains 1,603 original images with 1920 × 1080 pixels resolution and is separated into five different disease categories consisting of Black Point (303 images), Fusarium Foot Rot (250 images), Healthy Leaf (250 images), Leaf Blight (400 images), and Wheat Blast (400 images).

The application of data augmentation techniques produced 1,000 additional images per class to balance the dataset before creating the augmented dataset. After data augmentation, the total number of images across the 5,000 dataset represents an equal distribution of disease categories.

The machine learning model needs training, so the augmented dataset split into training (70%) and testing (20%) and validation (10%) portions to help evaluation. The structured splitting technique enables effective generalization of models while ensuring the best results in multiple experimental testing conditions.

The dataset follows a system of three main directories:
1) Original Dataset: Contains raw images captured directly from the field.
2) Augmented Dataset: A separate section in the database features synthetic images that aid distribution balance.
3) Split Dataset: The Split Dataset holds pre-processed divisions of training data, testing data, and validation data that stem from the augmented dataset.

The wheat disease dataset provides researchers with essential resources to conduct investigations about wheat disease categorization as well as agricultural AI development and deep learning-based plant disease identification studies.
DOI: 10.6084/m9.figshare.22697011.v1
title: Single cell RNA and CITE sequencing data

description: Manuscript title: Distinct immune responses associated with vaccination status and protection outcomes after malaria challenge <br> Organism: Homo sapiens <br> Experiment type: Single cell RNA and CITE sequencing <br> Data type: Output data in the form of Seurat object. Data has been post-processed, normalized to account for batch effects and between sample variation, and integrated for multimodal datasets from RNA and ADT profile.
DOI: 10.6084/m9.figshare.96907.v1
title: Oil sensor v01 results

description: The first trial of our proof of principle oil spill sensor. This data shows the spectral reaction of the sensor when immersed in varying concentrations of toluene in water. Toluene is one of a range of aromatic hydrocarbonds often found in crude oil. The data attached is broken up into four files. The raw specral data for all the ppm concentartions of toluene, the summary of the vally seperation within the specral data (as calculated with vally detection software) and finally 2 graphs showing this data.
DOI: 10.6084/m9.figshare.16735417.v1
title: MLST output

description: This folder contains the MLST output generated for all datasets used in the paper.
DOI: 10.6084/m9.figshare.15390864.v1
title: Tak et al models and scripts R1

description: <b>Data and scripts from:</b><b><br></b><b>Ageing and the ipsilateral M1 BOLD response: a connectivity study </b><br>By Yae Won Tak, Ethan Knights, Richard Henson and Peter Zeidman<br><br>(Revision 1)<br>Analysis of the Cam-CAN dataset using DCM for fMRI, investigating why right primary motor cortex (M1) has negative BOLD responses that decrease in amplitude with age.
DOI: 10.6084/m9.figshare.19733680.v1
title: pastclim_krapp2021_v1.0.0

description: Climate reconstructions for the last 800k years from Krapp et al 2021, with icesheets and internal seas masked. To be used in pastclim.
DOI: 10.6084/m9.figshare.12143109.v2
title: offlap well

description: Representative offlap wells in the Qaidam basin
DOI: 10.17632/h32z9kcz3s
title: QOPTLib: a Quantum Computing Oriented Benchmark for Combinatorial Optimization Problems

description: # QOPTLib

QOPTLib is a quantum computing oriented benchmark for combinatorial optimization. QOPTLib is comprised of 40 different instances, equally distributed among for well-known problems: Traveling Salesman Problem, Vehicle Routing Problem, one-dimensional Bin Packing Problem and the Maximum Cut Problem.
DOI: 10.17632/jpwtpv2c4s
title: Mango Leaf Disease Identification Dataset: (MLDID)

description: The Mango Leaf Dataset is a comprehensive collection of high-quality images of mango leaves, meticulously gathered from various regions of Bangladesh. Recognized as the national tree of Bangladesh, the mango tree, and its fruit, play a crucial role in the country's agriculture and economy, contributing billions of dollars each season and involving numerous farmers and consumers.

In the context of modern agricultural advancements, the implementation of Artificial Intelligence (AI) and Machine Learning (ML) has become increasingly significant. This dataset aims to facilitate such technological integration by providing a robust image dataset focusing on mango leaf health and disease detection.

Dataset Composition:

- Total Images:3000
- Image Resolution: 512x512 pixels
- Classes: 5
 1. Healthy Leaves: 600 images
 2. Gall Mid Disease: 600 images
 3. Die Back Disease: 600 images
 4. Bacterial Cancer Disease: 600 images
 5. Anthracnose Disease: 600 images

Each image in the dataset is captured with high clarity, ensuring the quality necessary for effective analysis in various technological applications, including but not limited to:
- Machine Learning
- Deep Learning
- Image Processing

This dataset is a valuable resource for researchers and practitioners aiming to develop advanced solutions for the detection and classification of mango leaf health and diseases, ultimately contributing to the improvement of agricultural practices and outcomes.
DOI: 10.6084/m9.figshare.14753556.v1
title: Metadata record for: DEDDIAG, a domestic electricity demand dataset of individual appliances in Germany

description: This dataset contains key characteristics about the data described in the Data Descriptor DEDDIAG, a domestic electricity demand dataset of individual appliances in Germany. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.28824755.v1
title: Supplemental Figures S1-S2 for the Furin manuscript with AJPENDO

description: Original membranes for the Western blots are shown in Supplemental Figures S1 and S2.
DOI: 10.6084/m9.figshare.7797368.v1
title: S-parameters of receiving antennas

description: The calculation of S-parameters of receiving antennas is carried out [1] and exported to txt files (25 per one time). The txt files are opened by MS Excel and S-parameters are sorted by frequency 80 GHz and then S-parameters sited in to the matrix in order like receiving antennas
DOI: 10.17632/x8x628h3gs
title: PM-HIP SQNT SA508 Grade 3 Stitched Micrographs and Nanoindentation Profile

description: This dataset contains a series of micrographs, both raw and processed, as well as a large scale stitched micrograph covering the span of an electron beam weld in PM-HIP SA508 Grade 3 RPV steel. The dataset also contains a series of plain-text CSV files containing load-displacement data for a nanoindentation profile covering the same weld in the same direction.