cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xx7uhy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argentina silus (Ascanius, 1775)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((26.1447 -34.2546,26.6413 -34.1504,17.9648 -34.1504,17.9648 -34.5378,18.3444 -34.8391,18.8711 -34.8843,19.4851 -35.2658,19.9376 -35.3352,20.7057 -34.9616,21.9281 -34.8692,22.6401 -34.5158,23.3842 -34.6063,23.712 -34.499,24.8223 -34.7143,25.2443 -34.5061,25.7729 -34.5304,26.1447 -34.2546))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013268-250525065834625/datasets/export for details.
DOI: 10.17632/5sg9m3wgkf
title: Mechanism for antigenic peptide selection by endoplasmic reticulum aminopeptidase 1

description: Enzymatic analysis raw data and molecular dynamics trajectories with reference to the article: "Mechanism for antigenic peptide selection by endoplasmic reticulum aminopeptidase 1" by P. Giastas et al. PNAS (2019) www.pnas.org/cgi/doi/10.1073/pnas.1912070116 Data are in two separate folders and a README text file provides a description about their content.
DOI: 10.6084/m9.figshare.21087853.v3
title: Source data.rar

description: Source data of Ion Rectification Based on Gel Polymer Electrolyte Ionic Diode
DOI: 10.6084/m9.figshare.29107607.v1
title: Innovative work behavior of community nurses: a scoping review protocol.

description: This is a protocol for a scoping review study that explores and describes research studies that examined innovative (work) behavior in the nursing context with special focus on home caring nurses.
DOI: 10.6084/m9.figshare.29116049.v1
title: 机器学习数据集和源文件

description:  
<pre><code>Machine learning data sets and source files</code></pre>
DOI: 10.6084/m9.figshare.9123026.v1
title: Supplementary Material for: Early-Pregnancy Circulating Antioxidant Capacity and Hemodynamic Adaptation in Recurrent Placental Syndrome: An Exploratory Study

description: <b><i>Background/Aims:</i></b> Placental syndromes (PS) refer to pregnancy complications that include gestational hypertension, (pre)eclampsia, HELLP syndrome, and/or placental insufficiency-induced fetal growth restriction. These disorders are characterized by increased oxidative stress. This study aims to test the hypothesis that the abnormal hemodynamic adaptation to pregnancy, typical for early PS pregnancy, is accompanied by abnormal maternal levels of antioxidants relative to those in normal pregnancy. <b><i>Methods:</i></b> Before, and at 12, 16, and 20 weeks pregnancy, we measured trolox equivalent antioxidant capacity (TEAC), uric acid (UA), and TEACC (TEAC corrected for UA) in maternal serum of former PS patients, who either developed recurrent PS (rPS; <i>n</i> = 16) or had a normal next pregnancy (non-rPS; <i>n</i> = 23). Concomitantly, we also measured various hemodynamic variables. <b><i>Results:</i></b> rPS differed from non-rPS by higher TEACC levels before pregnancy (178 vs. 152 µM; <i>p</i> = 0.02) and at 20 weeks pregnancy (180 vs. 160 µM; <i>p</i> = 0.04). Only non-rPS responded to pregnancy by significant rises in hemodynamic measures. <b><i>Conclusion:</i></b> These data indicate that rPS pregnancies are preceded by an increase in antioxidant capacity, presumably induced by subclinical vascular injury and low-grade chronic inflammation.
DOI: 10.17632/9k9gfx483c
title: Increased risk of recurrence and disease-specific death following delayed post-operative radiation for Merkel cell carcinoma - Supplemental Data

description: "Increased risk of recurrence and disease-specific death following delayed post-operative radiation for Merkel cell carcinoma" 
Supplemental Data for JAAD Article (2023)
DOI: 10.17632/g46dvrcvwn
title: Turmeric Plant Disease Dataset: Advancing AI for Agricultural Sustainability

description: This dataset is a vital tool for researchers and professionals in agriculture, machine learning, and computer vision, focused on identifying and classifying diseases in turmeric plants. It is structured into two primary categories: the Original Dataset and the Augmented Dataset, offering high-quality images of turmeric plant leaves and rhizomes under various conditions, including: 

- Dry Leaf
- Leaf Blotch
- Healthy Leaf
- Rhizome Disease Roots
- Rhizome Healthy Roots

To ensure broad applicability and improve model performance, the dataset includes augmented images generated using techniques such as flipping, rotation, noise addition, shifting, brightness adjustments, and zooming. These augmentations significantly increase the dataset’s diversity, enabling the training and evaluation of robust machine learning models. By leveraging this dataset, researchers can develop accurate systems for early disease detection and effective crop management.

The dataset is instrumental in driving innovation in agricultural technology, crop protection, and sustainable farming practices, using cutting-edge computer vision and AI approaches. 

Key Features:
- Original Dataset:
 - Number of Images: 1,063
 - Format: .jpg 
 - Description: High-resolution, annotated images of turmeric plant diseases. 

- Augmented Dataset:
 - Number of Images: 4,548 
 - Format: .jpg 
 - Description: Enhanced dataset with diverse samples created through data augmentation. 

Significance:
This dataset supports the development of AI-driven tools for: 
- Disease classification and early detection. 
- Improved crop monitoring and disease management. 
- Advancing agricultural research and sustainable practices. 

By offering meticulously curated images and detailed annotations, this dataset lays the foundation for transformative advancements in turmeric plant disease diagnosis and AI-based agricultural solutions.
DOI: 10.6084/m9.figshare.29067839.v1
title: BILIBILI data

description: The table contains <b>300 video content records</b> across <b>8 categories</b> such as Game, Music, Film & TV, Knowledge, Technology, and Entertainment. Each record includes <b>13 dimensions</b> of data, covering basic playback metrics, user engagement metrics, title characteristics, and visual design elements, to analyze the correlation between content dissemination and visual presentation.
DOI: 10.17632/x3rj69jyc3
title: Data for: Thermodynamic Modeling of the Water – Nitric Acid – Rare Earth Nitrate Systems

description: This dataset contains MATLAB source code (eGLCM.m) for the excess Gibbs energy model describing the properties of aqueous electrolyte solutions, mixed solvent electrolyte systems and nonelectrolyte systems, electrolyte version of the Generalized Local Composition Model (eGLCM). It also contains input files for TernAPI program, designed for ternary phase diagrams calculation by means of the convex hull method (https://doi.org/10.1016/j.fluid.2014.12.028, https://td.chem.msu.ru/en/developments/ternapi/). This files allow to reproduce assessed phase diagrams of the H2O – HNO3 – REE(NO3)3 systems (REE = Y, La, Ce, Pr, Nd, Sm, Eu, Gd).
DOI: 10.6084/m9.figshare.22586485.v1
title: Normes RMET-31 et Ekman 35

description: Ce fichier contient des données sur la distribution des scores au RMET-31 et au test à 35 items de reconnaissances des émotions faciales (Ekman, 1975).
DOI: 10.6084/m9.figshare.23667300.v1
title: Xenacoela Phylogenomic Analyses

description: Alignments, trees, model fit and simulations data supporting Xenacoela rather than Acoelomorpha.
DOI: 10.6084/m9.figshare.24471712.v2
title: <b>An Empirical Study on Plyometric Training Combined with "KAATSU" Stimulation to Induce the </b><b>Postactivation Potentiation </b><b>of Basketball Players</b>

description: Ten special basketball athletes were recruited for a randomized, self-controlled crossover experimental study. The subjects were instructed to first perform the bench press throw (BPT) test (3 groups of 2 times in each group at 30% 1RM, with an interval of 4 min in each group), and the results were taken as pretest results. After the BPT test was completed, rapid stretching compound training, pressure stimulation only (140 mmHg), rapid stretching compound training combined with pressure stimulation and sitting were performed. After the BPT test was completed, rapid stretching compound training, pressure stimulation only (140 mmHg), rapid stretching compound training combined with pressure stimulation and sitting four modes of intervention were performed, and then the BPT test was performed as the posttest result. An intelligent tracking sensor (Vmaxpro) was used to record the values of PP, PV, MP and MV of upper limb explosive power in the BPT test to evaluate the induction of postactivation potentiation after upper limb activation in basketball players at different time points.
DOI: 10.17632/pcydsf2r3r
title: Dataset LATAM-AI WebAccess

description: The LATAM-AI WebAccess dataset evaluates web accessibility in the official government portals of countries included in the Latin American Index of Artificial Intelligence (ILIA). The data was collected using the WAVE automated tool and focuses on compliance with the Web Content Accessibility Guidelines (WCAG) 2.1 across the four accessibility principles: Perceivable, Operable, Understandable, and Robust.
DOI: 10.6084/m9.figshare.1243183.v1
title: GIS Layer of Standardized Fish Mercury Concentrations Across Canada Now Available

description: Society of Environmental Toxicology and Chemistry North America Conference 2014 (Vancouver, Canada) Poster presentation. Poster Abstract: GIS Layer of Standardized Fish Mercury Concentrations Across Canada Now Available A national GIS layer of standardized fish mercury (Hg) data would be useful to the scientific community for many types of spatial analyses and modeling. To produce this national GIS layer for Canada, we first assembled all available fish Hg data across the country and did quality-assurance checks, which resulted in 387,872 fish Hg records. We removed all records from sites with known point-source Hg inputs or from hydroelectric reservoirs. The resulting dataset contained 231,063 records from 3547 locations across Canada from 1967-2010. We used this data and the USGS National Descriptive Model for Mercury in Fish (NDMMF) to estimate Hg concentrations in a standard-length (12-cm) whole yellow perch for each sampling location. The resulting geocoded dataset of standardized fish Hg concentrations is called the Fish Mercury Datalayer for Canada, or FIMDAC, and is now available to the scientific community. FIMDAC can be used for Hg eco-risk assessment, modeling of Hg dynamics and bioaccumulation in aquatic ecosystems, spatial analysis of Hg biogeochemistry, and as baseline for modeling future Hg management scenarios and their environmental consequences. FIMDAC is not appropriate for human health risk assessment, temporal trend analysis or for setting human consumption guidelines. Relevant links: Data request form: http://www.smu.ca/research/fish-mercury-datalayer.html Metadata: http://dx.doi.org/10.6084/m9.figshare.1210773
DOI: 10.6084/m9.figshare.19817536.v1
title: O_idahoensis_v1_protein.fasta

description: MAKER annotated proteins, 0.5 AED cut off.
DOI: 10.6084/m9.figshare.21164338.v1
title: Supplemental: Geographic data

description: This Geographic Data contains information about the outline of refugee and IDP camps used in the study. Outlines were partially derived from OpenStreetMap.
DOI: 10.6084/m9.figshare.26270908.v1
title: HPL Kidney 20x

description: HPL model weights for Kidney trained on UPenn 20x magnification
DOI: 10.6084/m9.figshare.3568416.v1
title: Appendix D. Proof details for some formulas (Eqs. 5, 8, 9b, 11a, and 11b of the main text) and a replication principle.

description: Proof details for some formulas (Eqs. 5, 8, 9b, 11a, and 11b of the main text) and a replication principle.
DOI: 10.6084/m9.figshare.4508729.v2
title: Multi-objective evolutionary feature selection for online sales forecasting

description: Sales forecasting uses historical sales figures, in association with products characteristics and peculiarities, to predict short-term or long-term future performance in a business, and it can be used to derive sound financial and business plans. By using publicly available data, we build an accurate regression model for online sales forecasting obtained via a novel feature selection methodology composed by the application of the multi-objective evolutionary algorithm ENORA (Evolutionary NOn-dominated Radial slots based Algorithm) as search strategy in a wrapper method driven by the well-known regression model learner Random Forest. Our proposal integrates feature selection for regression, model evaluation, and decision making, in order to choose the most satisfactory model according to an <em>a posteriori</em> process in a multi-objective context. We test and compare the performances of ENORA as multi-objective evolutionary search strategy against a standard multi-objective evolutionary search strategy such as NSGA-II (Non-dominated Sorted Genetic Algorithm), against a classical backward search strategy such as RFE (Recursive Feature Elimination), and against the original data set.
DOI: 10.6084/m9.figshare.12570770.v1
title: The SUSTech-SYSU dataset for automated exudate detection and diabetic retinopathy grading

description: Automated detection of exudates from fundus images plays an important role in diabetic retinopathy (DR) screening and evaluation, for which supervised or semi-supervised learning methods are typically preferred. However, a potential limitation of supervised and semi-supervised learning based detection algorithms is that they depend substantially on the sample size of training data and the quality of annotations, which is the fundamental motivation of this work. In this study, we construct a dataset containing 1219 fundus images (from DR patients and healthy controls) with annotations of exudate lesions. In addition to exudate annotations, we also provide four additional labels for each image: left-versus-right eye label, DR grade (severity scale) from three different grading protocols, the bounding box of the optic disc (OD), and fovea location. This dataset provides a great opportunity to analyze the accuracy and reliability of different exudate detection, OD detection, fovea localization, and DR classification algorithms. Moreover, it will facilitate the development of such algorithms in the realm of supervised and semi-supervised learning.<br>Users of this dataset are expected to cite the following paper in any research output generated from using this dataset as well as appropriately acknowledge the contributions of this dataset.--Li Lin, et al.: The SUSTech-SYSU dataset for automated exudate detection and diabetic retinopathy grading, Scientific Data. <b> https://doi.org/10.1038/s41597-020-00755-0</b>
DOI: 10.6084/m9.figshare.21774503.v1
title: Datasets of a Multizone Office Building with Different Fault Types and Intensities under the Different Outdoor Conditions

description: Datasets of a Multizone Office Building with Different Fault Types and Intensities under the Different Outdoor Conditions
DOI: 10.6084/m9.figshare.22678177.v2
title: Metagenome sequencing and 103 microbial genomes from ballast water and sediments

description: The great threaten of microbes carried by ballast water calls for figuring out the species composition of the ballast-tank microbial community, where the dark, cold, and anoxic tank environment might select special taxa. In this study, we reconstructed 103 metagenome-assembled genomes (MAGs), including 102 bacteria and one archaea from four vessels of international voyages. Of these MAGs, 60 were ‘near complete’ (completeness &gt;90%), 34 were &gt;80% completeness, and nine were &gt;75% completeness. Phylogenomic analysis revealed that over 70% (n = 74) of these MAGs represented new taxa at different taxonomical levels, including one order, three families, 12 genera and 58 species. Species composition of these MAGs were most consistent with the previous reports, with the most abundant phyla were Proteobacteria (n = 69), Bacteroidota (n = 17), and Actinobacteria (n = 7). These draft genomes provided novel data of species diversity and function in ballast-tank microbial community, which will facilitate ballast water and sediments management.
DOI: 10.6084/m9.figshare.28889798.v1
title: Supplementary Material for: Trends and clinical features of pet sensitization of allergic rhinitis from 2017- 2023 in Beijing, China

description: Introduction: Cats and dogs, as most common domestic pets, is an important source of indoor airborne allergens that can cause allergic rhinitis (AR) and other allergic diseases. This study aimed to determine the trends of sensitization of pets in recent years and disease severity in AR patients sensitized to pet’s allergens.
Methods: This was a retrospective study, which examined 47,553 patients who were first diagnosed AR at the Department of Allergy of Beijing Tongren Hospital from January 2017 to December 2023. Clinical characteristics and disease severity of the patients were assessed based on the sensitization to allergen test.
Results: This study found pets are the second most common indoor allergen in AR patients, with cat (26.6%) and dog (13.7%). The trend of sensitization to cats and dogs has shown a yearly increase from 2017-2023, and children and adolescent are the most susceptible to pet sensitization. Compared to other indoor allergens, sensitize to cat showed significant severe allergic symptoms, including nasal congestion, runny nose, and itchy eyes. The risk of asthma was increased by sensitization of Cat (P&lt;0.001, OR=1.737) and dog (P&lt;0.001, OR=1.659)
Conclusion: Cats and dogs are important and common indoor allergens in AR, especially in children and adolescents, which have gradually increased over the past 7 years. Cat sensitization may lead to more severe AR symptoms and increase the risk of comorbid asthma.
DOI: 10.17632/gf8n8cnmvc
title: IndicLegalQA Dataset

description: The dataset comprises 10,000 question-answer pairs meticulously prepared from a total of 1,256 judgment documents, including 538 criminal and 718 civil cases. Each QA pair is derived from detailed legal judgments from Apex court (i.e. Supreme Court of India), with the questions framed to capture essential legal issues, principles, or facts, and answers extracted directly from the text. The dataset covers a balanced mix of legal topics in criminal and civil law, such as constitutional matters, property disputes, criminal offenses, and procedural matters. Additionally, it includes metadata such as case names, judgment dates.
DOI: 10.17632/jwcr4nwvdn
title: Indoor fire threat situation dataset

description: The dataset was created using Pyrosim, and each table in the compressed package represents a simulation result. Among them, for example, T-12-09 represents a point with coordinates (12, 9), 0 represents that it is currently safe, and 1 represents that it is currently dangerous. Heat-01 represents the first temperature sensor data in the scene, and Smoke-01 represents the first smoke sensor data in the scene.
DOI: 10.6084/m9.figshare.11522286.v1
title: RNA-seq transcriptome of Pseudomonas syringae DC3000 in liquid minimal medium

description: Known as a plant pathogen able to infect a multitude of plant species, <i>Pseudomonas syringae</i> is attracting much research interest from the plant biology community, particularly with respect to the development of methods for preventing <i>P. syringae</i> infection, and understanding its pathogenesis mechanisms. This work presents an analysis of the RNA-seq transcriptome of <i>P. syringae</i> DC3000 in liquid minimal medium (ArrayExpress accession number: E-MTAB-3779). Analysed by an in-house MATLAB transcriptome analysis software, RNA-seq transcriptome of <i>P. syringae</i>’s growth in liquid minimal medium holds biological relevance given the oligotrophic nature of plant surfaces on which this bacterium thrives and exerts its pathogenetic effects. Through processing 1.5 million reads, the transcriptional picture reveals a set of highly transcribed genes that include outer membrane porin OprF, molecular chaperone DnaK, groEL chaperonin, fliC flagellin, ISPsy5 transposase, pyoverdine chromophore precursor synthetase, RNA polymerase sigma factor SigX, yersiniabactin polyketide/non-ribosomal peptide, and heat shock protein HtpG. Such a gene expression programme speaks of the importance of maintaining the cell envelope as well as protein conformational fidelity to the proper functioning of the cell. In addition, high level expression of the transposase genes as well as other transposase helper proteins point to a source of genetic instability in the species, which may have ramifications on the species pathogenicity. Overall, the RNA-seq transcriptome of <i>P. syringae</i> DC3000 reveals that the cell expends significant resources to maintain proper protein folding and the integrity of the cell envelope. But, the transcriptome also highlights one area in which CRISPR-Cas9 might help in reducing genetic instability of the bacterium that otherwise aids the species in evading plant host’s immune system. In essence, transposase genes can be candidate genes to be inactivated to help reduce pathogenicity potential of this plant pathogen.<br><br>
DOI: 10.6084/m9.figshare.22347698.v1
title: Probing radical versus proton migration in the aniline cation with IRMPD spectroscopy

description: Intramolecular radical and proton migration in the gas phase are important processes driving the dissociation reactions underlying common tandem mass spectrometry processes, such as collision-induced and electron-induced dissociation reactions (CID and ExD). Mechanistic insights in these processes requires experiments that probe the molecular structures of ions along the reaction pathways, usually combined with quantum-chemical calculations. The combination of ion trap mass spectrometry with IR laser spectroscopy, pioneered among others by Dieter Gerlich, provides a particularly effective method to explore details of the ion structures. In this work, we employ infrared multiple-photon dissociation (IRMPD) spectroscopy and density functional theory (DFT) calculations to probe the reactant and product ion structures of a homolytic bond cleavage reaction. First, we employ IRMPD spectroscopy to establish that protonation of the 4-bromoaniline precursor occurs on the amine moiety and then that C-Br homolytic cleavage produces the <i>π</i>-radical cation of aniline. Transition-state calculations are performed to compare the various pathways that connect reactant and product ions, including both proton and radical transfer mechanisms.