cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9739310.v1
title: A Precise Algorithm for Computing Sun Position on a Satellite

description: ABSTRACT: To meet the high precision sun tracking needs of a space deployable membrane solar concentrator and other equipment, an existing algorithm for accurately computing the sun position is improved. Firstly, compared with other theories, the VSOP (variation seculaires des orbits planetaires) 87 theory is selected and adopted to obtain the sun position in the second equatorial coordinate system. Comparing the results with data of the astronomical almanac from 2015, it is found that the deviation of the apparent right ascension does not exceed 0.17 arc seconds, while that of the apparent declination does not exceed 1.2 arc seconds. Then, to eliminate the difference in the direction of the sun position with respect to the satellite caused by the size of the satellite’s orbit, a translation transform is introduced in the proposed algorithm. Finally, the proposed algorithm is applied to the orbit of the satellite designated by SJ-4 (shijian-4). Under the condition that both of the existing and improved algorithms adopt the VSOP87 theory to compute sun position in the second equatorial coordinate system, the maximum deviation of the azimuth angle on the SJ-4 is 35.19 arc seconds and the one of pitch angle is 19.93 arc seconds, when the deviation is computed by subtracting the results given by both algorithms. In summary, the proposed algorithm is more accurate than the existing one.
DOI: 10.17632/r68dcdjrpc
title: Data for: Truthiness, the Illusory Truth Effect, and the Role of Need for Cognition

description: The data for five experiments on truthiness and illusory truth and the need for cognition are included here.
DOI: 10.6084/m9.figshare.20557764.v1
title: dataset

description: 1 myopia 2 emmetropia 3 hypertropia
DOI: 10.17632/5xdmpyrxyx
title: Research on energy saving of building data center HVAC system with BIM technology

description: Related data of energy saving research of building data center HVAC system with BIM technology.
DOI: 10.17632/gt7xdbs3kt
title: Phishing Detection

description: The dataset is used for research study for intelligent phishing detection based on 35 features of image, frame and text
DOI: 10.6084/m9.figshare.13295933.v1
title: Electronic Band structures and Density of states of XScO3

description: Raw data for the band structures and density of states for the perovskites MoScO<sub>3</sub> and WScO<sub>3</sub> perovskites using FP-LAPW and mBJ exchange potential.under density functional theory (DFT).
DOI: 10.6084/m9.figshare.19530496.v3
title: Leuronota fagarae picorna-like virus full genome classification data

description: Wild Lime Psyllid <i>Leuronota fagarae</i> Burckhardt (Hemiptera: Psylloidea) Picorna-like Virus Full Genome Annotation and Classification by Stuehler Jr. et. al. Supplementary data.<b></b>
DOI: 10.6084/m9.figshare.22586446.v1
title: COVID2023CognitionData.csv

description: Data for the article: <strong>The Impact of SARS-CoV-2 Infection, Severity of COVID-19, and COVID-19 Vaccination on Health and Cognitive Performance</strong> <br> Jaroslav Flegr* and Ashkan Latifi <strong>Abstract</strong> COVID-19 affects a variety of organs and systems of the body including the central nervous system. Recent research has shown that COVID-19 survivors often experience neurological and psychological complications that can last for months after infection. We conducted a large internet study using online tests to analyze the effects of SARS-CoV-2 infection, COVID-19 severity, and vaccination on health, intelligence, memory, and information processing precision and speed in a cohort of 4,446 subjects. Our study found that both SARS-CoV-2 infection and COVID-19 severity were significantly associated with negative impacts on patients' health. Furthermore, we observed a negative association between COVID-19 severity and cognitive performance. Age was negatively associated with SARS-CoV-2 infection in our sample so that the younger the participant the more likely that they had a history of COVID-19 contraction and positively associated with COVID-19 severity and vaccination so that the elderly were more likely to develop the acute form of the disease and get vaccinated. The association between age and COVID-19 severity was primarily mediated by older participants' impaired long-term health. Vaccination was positively associated with intelligence and the precision of information processing. However, the positive association between vaccination and intelligence was likely mediated by achieved education, which was itself strongly associated with the likelihood of being vaccinated. Notably, we observed a negative correlation between patients' cognitive performance and COVID-19 severity but not with SARS-CoV-2 infection, suggesting that the severity of the disease was the main factor involved in cognitive impairment. Practical implications for safeguarding public health against COVID-19 pandemic are also made at the end of the article.
DOI: 10.17632/nxm4dwrh5v
title: Food safety knowledge of young food handlers: A cross-sectional study in Turkey

description: Dear Readers, 

By means of data in the attached file;
Using the "score_good" extension datasets; mean, standard deviations were calculated and Figure 1 was created. Datasets with the extension "score_ratio" were used for analysis of variance (t test and ANOVA). 
Binary logistic regression analysis was performed using "food_safety_knowledge_good_poor_coded" and "gender", "age", "monthly income", "grade level", "internship status" (categorical variables) datasets with selected "first" as a reference category.

Kind Regards.
DOI: 10.17632/z888csd859
title: Testing the ability of artificial intelligence chatbots and dermatologic diagnosis mobile applications to diagnose melanoma and seborrheic keratosis

description: A research letter testing the ability of AIC and SCDA on diagnosing two skin conditions.
DOI: 10.6084/m9.figshare.21732173.v3
title: Vertical Axis Wind Turbines (VAWT) specifications List

description: List of characteristics of commercial vertical axis wind turbines (VAWT) suitable for urban deployment. Part of the publication "Environmental effects of urban wind energy harvesting: a review". Published at Buildings and Cities (Volume 6 - Issue 1 - 2025), by Tsionas I, Llaguno-Munitxa M, and Stephan A, as part of the work for the Wind Energy for Brussels (WEB) project, co-funded by Innoviris with participants LAB UCLouvain and BuildWind SRL.
DOI: 10.6084/m9.figshare.1431389.v6
title: Y-chromosome Haplogroup J-M172 subclades update with primary SNPs

description: Combined J2 Phylogeny from almost all available public and DTC sources. Included are ca. 240 informative subclades (pre Middle Age) as well as more recent haplogroups (low-diversity/Middle Age or Clans/Surnames). The phylogeny is available as Tree with primary SNPs (searchable PDF) and Spreadsheet with details for the selected primary SNPs. <br>This data is an output of the constantly updated online J2-M172 Research Tree simplified which is based on the J2-M172_spreadsheet. This citizen science research is done voluntarily by the author with the support of many others in the J2-M172 Haplogroup research and affiliated research. <br>ISOGG J-Haplogroup update submissions are planned to be based on this work and include equivalent SNPs.
DOI: 10.6084/m9.figshare.25810099.v3
title: TMvec/DeepBLAST models

description: TMvec and DeepBLAST modelsThe model weights/config of the DeepBLAST model<br>deepblast-v3.cpt<br>The model weights/config of the base TM-vec model trained on SwissModel pairs (trained on protein chains up to 300 residues long, works best on shorter sequences):tm_vec_swiss_model.ckpt<br>tm_vec_swiss_model_params.json<br>The model weights/config of the large TM-vec model trained on SwissModel pairs (trained on protein chains up to 1000 residues long):tm_vec_swiss_model_large.ckpt<br>tm_vec_swiss_model_large_params.json<br>The model weights/config of the large TM-vec model trained on CATH pairs (trained on CATH S100 domains sampled from ProtTucker training domains):tm_vec_cath_model_large.ckpt<br>tm_vec_cath_model_large_params.json<br>The model weights/config of the base TM-vec model trained on CATH pairs (trained on CATH S40):tm_vec_cath_model.ckpt<br>tm_vec_cath_model_params.json<br>
DOI: 10.6084/m9.figshare.26281789.v1
title: Data for figures in Carvalho et al, 2024_GCBB_Mischanthus and corn in marginal land

description: Data presented in figures in Carvalho et al., 2024: Water Use and Radiation Balance of Miscanthus and Corn on Marginal Land in the Coastal Plain Region of North Carolina. Global Change Biology: Bioenergy
DOI: 10.6084/m9.figshare.28592495.v1
title: Population genetics of the Brown Rat (Rattus norvegicus) in a Heterogeneous Urban Landscape

description: <i>Rattus norvegicus</i>, a globally distributed invasive species, has successfully established urban populations in close association with humans posing significant economic and public health challenges worldwide. Understanding the relationship between landscape features and genetic differentiation among <i>R. norvegicus</i> populations is crucial for developing effective control and management strategies. The aim of this study was to analyze the genetic connectivity among <i>R. norvegicus</i> populations in different urban environments of the Metropolitan Area of Buenos Aires including parks, urban reserves, port areas, informal settlements, and residential neighborhoods.
DOI: 10.6084/m9.figshare.7262738.v1
title: PREDICTS site-level biodiversity data with estimates of total abundance and species richness, for groups of species divided by range size

description: This file contains the site-level data from the PREDICTS database, with measures of total abundance and species richness, dividing species within each study into three equal groups by range size
DOI: 10.21942/uva.14336543.v3
title: Verb forms in German Sign Language

description: A gallery of images illustrating all verb forms included in the project "Recurring iconic mapping patterns within and across verb types in German Sign Language", a sub project of the PhD project "Iconicity as a mediator between verb semantics and morphosyntactic structure: A corpus-based study of verbs in German Sign Language". The video stills come from naturalistic dialogues from the open access DGS Corpus, publicly available at https://www.sign-lang.uni-hamburg.de/meinedgs/ling/start_en.html.
DOI: 10.25381/cput.27679005.v1
title: Textural and sensorial characteristics of Bambara groundnut shortcrust and puff pastry .xlsx

description: Ethics Approval Reference Number: 211282537/01/2020<br>This study investigated the effect of Bambara groundnut flour on the textural and sensorial properties of shortcrust and puff pastry products.
DOI: 10.6084/m9.figshare.22223596.v1
title: Carbon Monitor Cities 2022 update

description: 2022 update for the Carbon Monitor Cities dataset: <br> Near-real-time daily estimates of CO2 emissions from 1500 cities worldwide <br> Huo, D., Huang, X., Dou, X. et al. Carbon Monitor Cities near-real-time daily estimates of CO2 emissions from 1500 cities worldwide. Sci Data 9, 533 (2022). <br> https://doi.org/10.1038/s41597-022-01657-z
DOI: 10.6084/m9.figshare.23640966.v1
title: Geochemical dataset

description: <br> Major and trace elemental and isotopic data for Neoproterozoic carbonate samples collected from six sites across the northern Flinders Ranges, South Australia
DOI: 10.6084/m9.figshare.28387259.v1
title: The source data for "Absence of superconductivity and density-wave transition in ambient-pressure tetragonal La4Ni3O10".

description: The source data for "Absence of superconductivity and density-wave transition in ambient-pressure tetragonal La4Ni3O10".
DOI: 10.17632/tz7gmrzffh
title: Datasets for the impact of position errors on crowd simulation

description: In this repository, we present our datasets of the experimental results from crowd simulation with three different stampede assessment methods, i.e., pressure method, force method, and density method. The datasets also contain the experimental results with Kalman filter for smoothing position noise. File Description 1. density_r1.xlsx - dataset with density method when the radius is 1 m 2. density_r1.5.xlsx - dataset with density method when the radius is 1.5 m 3. force.xlsx - dataset with force method 4. pressure_r1.xlsx - dataset with pressure method when the radius is 1 m 5. pressure_r2.xlsx - dataset with pressure method when the radius is 2 m 6. pressure_r3.xlsx - dataset with pressure method when the radius is 3 m 7. pressure_r4.xlsx - dataset with pressure method when the radius is 4 m Besides, the folder "kalman filter" contains ten files naming from kf-final-1.csv to kf-final-10.csv, which present the datasets with the mean position error ranges from 1 m to 10 m, respectively.
DOI: 10.6084/m9.figshare.25596714.v1
title: Testing the Core‐Periphery Hypothesis: a standardised multi‐phylum assessment of genetic diversity of marine coastal species

description: The Core‐Periphery Hypothesis (CPH) predicts that genetic diversity is greatest at the centre and lowest at the edges of a species’ distribution because genetic diversity is a function of a species’ abundance, which is also expected to be greatest at the centre and lowest at the edges of the distribution. Variants of the CPH include the ‘ramped north’ (greatest variation in the north), the ‘ramped south’ (greatest in the south), and the ‘abundant edge’ (greatest at the distributional edges). Here, we present the first standardised multi‐phylum analysis of the CPH using 9 indices of genetic diversity for New Zealand’s marine biota, covering 52 species. Based on 80 studies across 8 phyla, spatial variation in the genetic indices was tested against four models (Normal, Ramped North, Ramped South, Abundant Edge). Only 22.7% of all individual taxon‐specific tests were statistically significant: Ramped North (10.5%), Ramped South (7.4%), Abundant Edge (2.6%) and Normal (2.2%). Nonetheless, amongst the Chordata (Ramped North and Ramped South), Arthropoda (Ramped South) and Mollusca (Ramped North) a reasonably consistent pattern of genetic variation was observed within each phylum. Spatially‐explicit genetic diversity of the remaining taxa fitted different models but without any obvious pattern across the phyla. Generalised binomial testing of observed p‐values for each genetic index across all studies revealed that 10 of 29 tests were significant (5 ramped north, 2 normal, 2 ramped south, 1 abundant edge). Overall, our meta‐analysis revealed no real support for the CPH and only limited support for a Ramped model (either Ramped North or Ramped South) of spatially‐explicit genetic diversity. For New Zealand coastal marine taxa we conclude that consistently strong patterns of genetic variation across multiple taxa do not exist and the CPH requires extensive testing from multiple other regions before we can say that such patterns exist, let alone explain them.
DOI: 10.15468/dl.x38myy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sagamichthys schnakenbecki (Krefft, 1953)",
 "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 ((8.9648 28.8496,-0.0352 28.8496,-0.0352 19.8496,8.9648 19.8496,8.9648 28.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013113-250525065834625/datasets/export for details.
DOI: 10.17632/6f7nrdnyrx
title: Robust Köppen-Geiger (KG) Climate Classification Maps

description: The nc file contains two global Köppen-Geiger (KG) Climate Classification maps (resolution 0.5°).

The robust maps are developed by using monthly temperature and precipitation data from UDEL, CRU, JRA55, NCEP/CFSR, MERRA2, ERA5, and WFDEI gridded products over the period 1980 to 2017. 

MasterMap 1 shows the most frequently observed climate types among all KG maps for each grid point, after directly merging the climate maps produced by the seven datasets. 
MasterMap 2 results from estimating the medians of precipitation and temperature among the seven datasets at each grid point.
DOI: 10.6084/m9.figshare.14916735.v1
title: Data for sub watershed

description: Dataset regarding soil erosion in Tenughat watershed
DOI: 10.6084/m9.figshare.25804702.v1
title: Data from: Predicting the effect of landscape structure on epidemic invasion using an analytical estimate for infection rate

description: Individual based model simulation data and host landscape data for figures in the paper.Files for Figure 1: Fig1.zipFiles for Figure 2: Fig2b_sigma_10km_A0_200m.zip; Fig2c_sigma_1km_A0_1km.zip; Fig2d_sigma_1km_A0_200m.zipFiles for Figures 3, 4 and 5: Figs_3-5.zipFiles for Figure 6: Fig6.zip<br>
DOI: 10.17632/5bf2kmwvfn
title: Malaria-Detection-2019

description: This data set has been used in "Detection and stage classification of Plasmodium falciparum from images of Giemsa stained thin blood films using random forest classifier". It was originally collected for the paper https://doi.org/10.1073/pnas.0811829106. The data set contains 883 Giemsa stained images from 17 malaria infected patients. We provide (1) the original Giemsa stained images in PNG format, (2) ground truth images in PNG format and (3) life-stage labels for each parasite with their location in Excel format.
DOI: 10.17632/5jwmcybbhn
title: A Maple package for verifying ultradiscrete soliton solutions

description: Abstract We present a computer algebra program for verifying soliton solutions of ultradiscrete equations in which both dependent and independent variables take discrete values. The package is applicable to equations and solutions that include the max function. The program is implemented using Maple software. Title of program: Ultde Catalogue Id: AEDB_v1_0 Nature of problem The existence of multi-soliton solutions strongly suggest the integrability of nonlinear evolution equations. However enormous calculation is required to verify multi-soliton solutions of ultradiscrete equations. The use of computer algebra can be helpful in such calculations. Versions of this program held in the CPC repository in Mendeley Data AEDB_v1_0; Ultde; 10.1016/j.cpc.2009.01.009 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/6zdjcfsdbr
title: Study on Grassland Dynamics and Livestock Behavior Changes Under Different Grazing Strategies

description: Dataset Description
This dataset consists of GPS tracking data and remote sensing imagery used to assess the impact of grazing strategies on grassland vegetation and cattle behavior. The data was collected during a fenced grazing experiment conducted in Jinhua Village, Jinshan Town, Wenchang City, Hainan Province, China.
GPS Data
The GPS data includes the location trajectories of cattle tracked using GPS collars, recorded at regular intervals. These data provide precise spatial information on the cattle's movement within the grazing plots and are essential for understanding their foraging behavior, walking, standing, ruminating, and resting patterns. The dataset includes timestamps for each location point, along with GPS coordinates (latitude and longitude). Additionally,cattle behavior was observed and recorded in the field, with GPS-collected activity data integrated to develop a behavioral classification model.
Remote Sensing Data
The remote sensing data includes high-resolution imagery captured using unmanned aerial systems (UAS) to assess vegetation changes over time in the grazing plots. The images were processed to calculate the Normalized Difference Vegetation Index (NDVI), a key indicator of vegetation health. NDVI data were obtained before and after grazing activities to monitor vegetation recovery and degradation under different grazing intensities and regimes.
Data Analysis
The dataset was used to classify cattle behaviors using machine learning models, such as XGBoost, Random Forest, Decision Tree, Extra Trees, and CatBoost. The models were trained using GPS and behavioral data, providing insights into the effects of grazing strategies on cattle behavior. NDVI data were analyzed to determine the relationship between cattle behavior and vegetation changes.
Purpose
This dataset is intended to support the study of sustainable grassland management and grazing strategies. It provides valuable insights into the interaction between cattle behavior and grassland vegetation under different grazing pressures. The data can be used to refine grazing management practices and inform the development of more sustainable land management strategies.
DOI: 10.17632/yg2rmfzstw
title: Supporting data for taxonomic and phylogenetic revision of the genus Phytophthora based on the types

description: This project is a systematic and phylogenetic study of the genus Phytophthora. Three overlapping phylogenetic data sets were assembled (Table 5, Table S1): for Fig. 1 (and Fig. S1), a three-locus (ITS, COI, βTUB) alignment focusing on the order Peronosporales, for Fig. 2 (and Fig. S2), a five-locus (COI, βTUB, EF1α, L10, HSP90) alignment focusing on Phytophthora and downy mildews, and for Fig. 3 (and Fig. S3), a seven-locus (ITS, COI, YPT1, βTUB, EF1α, L10, HSP90) alignment focusing on Phytophthora. Single-locus trees were also inferred for each of the seven loci appearing in Fig. 3 (Figs. S4-S10). Input alignments are included in Phylip (.phy) format. For the IQ-TREE 2 maximum likelihood analysis, partitioning schemata appearing in NEXUS-formatted files (.nex) were used as input along with alignments. IQ-TREE 2 output files (.iqtree) contain partitioning and model schemata and maximum likelihood output trees. PartitionFinder2 was employed to discern optimal partitioning and model schemata for Bayesian inference, and the output is included as text (.txt) files. MrBayes output is included as Newick-formatted tree files (.tre). Supporting data for Abad ZG, Burgess TI, Bourret T, Bensch K, Cacciola SO, Scanu B, Mathew R, Kasiborski B, Srivastava S, Kageyama K, Bienapfl JC, Verkleij G, Broders K, Schena L, Redford AJ. 2023. Phytophthora: taxonomic and phylogenetic revision of the genus. Studies in Mycology 106: 259–349. doi.org/10.3114/sim.2023.106.05
DOI: 10.6084/m9.figshare.22255873.v6
title: Labeled 17 Hardwood Species and 55 Genotypes of Populus Stomatal Images Datasets

description: Research has indicated the potential of using machine learning algorithms to detect and measure stomata automatically. However, the current limitation for further improving and fine-tuning machine learning-based stomatal study methods is due to the small, inconsistent, and monotypic nature of stomatal datasets, which are also not easily accessible. To address this issue, our collection comprises about 11,000 unique images of hardwood leaf stomata gathered from projects conducted between 2015 and 2020-2022. The dataset includes over 7,000 images of 17 frequently encountered hardwood species, including oak, maple, ash, elm, and hickory, as well as over 3,000 images of 55 genotypes from seven Populus taxa (as detailed in Table 1). Each image has been labeled as either <i>inner_guard_cell_walls</i> or <i>whole_stomata</i> (stomatal aperture and guard cells) and has a corresponding YOLO label file that can be transformed to other annotation formats. These images and labels are publicly available, making it easier to train machine-learning models and examine leaf stomatal traits. By utilizing our dataset, users can (1) use state-of-the-art machine learning models to identify, count, and quantify leaf stomata; (2) investigate the diverse range of stomatal characteristics across different types of hardwood trees; and (3) create new indices for measuring stomata.