cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23938227.v1
title: <b>Demographic inference provide evidence of Quaternary-driven impact on the cactus moth and shed light of the role of an exotic host</b>

description: File Name: <code><strong>CcactorumFiltered.vcf</strong></code>File Type: Variant Call Format (VCF)Purpose: This VCF file contains Single Nucleotide Polymorphisms (SNPs) identified in a genomic analysis of 61 samples of <i>C. </i><i>cactorum</i>. These SNPs have undergone a series of filtering steps as part of the analysis to ensure data quality and reliability.File Name: <code><strong>CcactorumNoFilters.vcf</strong></code>File Type: Variant Call Format (VCF)Purpose: This VCF file contains Single Nucleotide Polymorphisms (SNPs) obtained from an <i>ipyrad</i> assembly of genomic data for <i>C. cactorum</i>. Importantly, this file contains SNPs without any filtering or quality control steps applied. It represents the raw output of the assembly process and includes all identified variants.File Name: <code><strong>CcactorumSFS.vcf</strong></code>File Type: Variant Call Format (VCF)Purpose: This VCF file contains Single Nucleotide Polymorphisms (SNPs) from a subset of individuals specifically selected to build the Site Frequency Spectra (SFS). The SFS represents the distribution of allele frequencies within the sampled population.Dependencies:The script provided by Isaac Overcast, available at GitHub (https://github.com/isaacovercast/easySFS), was used to build the SFS from this VCF fileFolder Name: <code><strong>Fastsimcoal_</strong></code><code><strong>DemographicModels.zip</strong></code>Contents: This ZIP folder contains a comprehensive set of input files used for demographic analyses using FASTSIMCOAL2. The files include <code>.tpl</code> (template files), <code>.est</code> (estimation files), and site frequency spectra of each group.Folder Name: <code><strong>StairwayPlot_DemographicInference.zip</strong></code>Contents: This ZIP folder contains input files, Stairway Plot templates, and results of demographic inference for each group analyzed in this study.The GitHub repository https://github.com/niconm89/pipeFSC contains a demographic simulation automation pipeline developed for this study.
DOI: 10.6084/m9.figshare.25559121.v1
title: Expression profile of circRNAs within extracellular vesicles (EVs) and their corresponding back-splicing ratio profile.

description: We identified 136,327 EV-circRNAs from various human body fluids. Significantly, a considerable amount of circRNAs with a high back-splicing ratio are highly enriched in EVs compared to linear RNAs. Notably, circSMARCA5 was among those with elevated expression levels, hinting at its utility as an EV molecular marker. Additionally, we discovered brain-specific circRNAs enriched in plasma EVs and cancer-associated EV-circRNAs linked to clinical outcomes. Importantly, we identified the involvement of RBPs, particularly YBX1, in the sorting mechanism of circRNAs into EVs.
DOI: 10.6084/m9.figshare.4047558.v1
title: Data set and R code

description: Included are:<br>The .csv data set. This is the final data set after removing data for a Lesser Black-backed gull as an outlier (only one was observed throughout the whole study).<br>The basic R-code used to analyze the data using a Generalized Linear Mixed Model. All methods and analyses are described in the paper.
DOI: 10.17632/yttp49tm4z
title: Data for: Role of Gamers' Communicative Ecology on Game Community Involvement and Self-Identification of Gamer

description: data
DOI: 10.17632/4v3jjfskfd
title: Integration of artificial intelligence elements in teaching foreign languages

description: The paper considers the possibility of using classical and innovative pedagogical technologies for teaching foreign languages using modern technical means. The prospects of introducing artificial intelligence elements into the learning process are evaluated. В работе рассматривается возможность использования классических и инновационных педагогических технологий обучения иностранным языкам с использованием современных технических средств. Оцениваются перспективы внедрение в процесс обучения элементов искусственного интеллекта.
DOI: 10.17632/krbhrv3h2r
title: Supplemental Methods

description: Supplemental methods for "Growth of Private Equity in Dermatology Through Acquisitions and New Clinic Formation, 2018-2019," published in the Journal of the American Academy of Dermatology
DOI: 10.17632/wm8x9zzfzy
title: Data for: Economic Policy Uncertainty and Dollar-Pound Exchange Rate Return Volatility

description: This data includes all uncertainty and exchange rate data used in this article.
DOI: 10.6084/m9.figshare.25999843.v3
title: Sustainable diet: Dish-Level Carbon and Nutrition Database for 4,403 Asian Cuisine

description: The transition in global diets is vital due to the detrimental impacts of the booming food system on the environment. The choices individuals make about their diets affect their health through nutrition intake and have profound implications for planetary environmental sustainability. Asian cuisine, which caters to a large portion of the global population and stands as a popular gastronomic choice worldwide, plays a pivotal role in this dietary shift and the formation of sustainable eating habits. This dataset aims to comprehensively analyze the carbon footprint, nutritional content, and price of various Asian dishes, thereby offering valuable insights for promoting sustainable dietary practices.
DOI: 10.6084/m9.figshare.6493409.v1
title: MATLAB figures for the article "Principal cells of the brainstem’s interaural sound level detector are temporal differentiators rather than integrators" (eLife, 2018)

description: MATLAB figures for the article "Principal cells of the brainstem’s interaural sound level detector are temporal differentiators rather than integrators", accepted for publication in eLife (2018).
DOI: 10.17632/8tx7kjbkg4
title: BugHunter Dataset

description: Bugs are inescapable during software development due to frequent code changes, tight deadlines, etc., therefore, it is important to have tools to find these errors. One way of performing bug identification is to analyze the characteristics of buggy source code elements from the past and predict the present ones based on the same characteristics, using e.g. machine learning models. To support model building tasks, code elements and their characteristics are collected in so-called bug datasets which serve as the input for learning. We present the BugHunter Dataset: a novel kind of automatically constructed and freely available bug dataset containing code elements (files, classes, methods) with a wide set of code metrics and bug information. Other available bug datasets follow the traditional approach of gathering the characteristics of all source code elements (buggy and non-buggy) at only one or more pre-selected release versions of the code. Our approach, on the other hand, captures the buggy and the fixed states of the same source code elements from the narrowest timeframe we can identify for a bug's presence, regardless of release versions. To show the usefulness of the new dataset, we built and evaluated bug prediction models and achieved F-measure values over 0.74.
DOI: 10.6084/m9.figshare.25251193.v1
title: <b>Consequences of pollen defense compounds for pollinators and antagonists in a pollen-rewarding plant</b>

description: Plants produce an array of defensive compounds with toxic or deterrent effects on insect herbivores. Pollen can contain relatively high concentrations of such defense compounds, but the causes and consequences of this enigmatic phenomenon remain mostly unknown. These compounds could potentially protect pollen against antagonists but could also reduce flower attractiveness to pollinators. We combined field observations of the pollen-rewarding <i>Lupinus argenteus</i> with chemical analysis and laboratory assays to test three hypotheses for the presence of pollen defense compounds: 1) these compounds are the result of spillover from adjacent tissues, 2) they protect against pollen thieves, and 3) they act as antimicrobial compounds. We also tested whether pollen defense compounds affect pollinator behavior. We found a positive relationship between alkaloid concentrations in pollen and petals, supporting the idea that pollen defense compounds partly originate from spillover. However, pollen and petals exhibited quantitatively (but not qualitatively) distinct alkaloid profiles, suggesting that plants can adjust pollen alkaloid composition independently from that of adjacent tissues. We found no relationship between pollen alkaloid concentration and the abundance of pollen thieves in <i>Lupinus</i> flowers. However, pollen alkaloids were negatively associated with bacterial abundance. Finally, plants with more alkaloids in their pollen received more pollinator visits, but these visits were shorter, resulting in no change in the overall number of flowers visited. We propose that pollen defense compounds are partly the result of spillover from other tissues, while they also play an antimicrobial role. The absence of negative effects of these compounds on pollinator visitation likely allows their maintenance in pollen at relatively high concentrations. Taken together, our results suggest that pollen alkaloids affect and are mediated by the interplay of multiple interactions.
DOI: 10.17632/k6xdsy7k95
title: ANÁLISE DE FLEXÃO POR ELEMENTOS FINITOS DE ESTRUTURAS AERONÁUTICAS DE PAREDES FINAS

description: Anais do II Simpósio Gaúcho de Engenharia Aeroespacial e Mecânica, UFSM
Santa Maria, RS, 24 a 26 de outubro de 2023
DOI: 10.6084/m9.figshare.12729533.v1
title: Standard VCF files

description: Standard VCF files.
DOI: 10.6084/m9.figshare.12792587.v1
title: Raw data for "A comparison of neuronal population dynamics measured with calcium imaging and electrophysiology"`

description: This is the raw dataset for manuscript "A comparison of neuronal population dynamics measured with calcium imaging and electrophysiology".<br>V1-sim-ephys-imaging_raw: the raw data of simultaneously recorded calcium imaging (in three conditions: GP4.3 high zoom, 6s-TG in high zoom imaging, which limits the imaging region to a single cell; GP4.3 low zoom, 6s-TG in low zoom imaging condition, which mimics the conditions of the large field of view imaging; GP5.17, 6f-TG high zoom imaging) with attached extracellular electrophysiological recordings.<br>ALM-6f-TG_raw: the raw data of calcium imaging of the neural activity in 6f-TG mice anterior-lateral motor cortex, while the animal was performing a delayed-version pole location discrimination task. <br>
DOI: 10.6084/m9.figshare.26776891.v1
title: <b>Dataset:</b> <b>Latin to English</b>, Declined Nouns, All Classes<sub> [3,900,672 declensions]</sub>

description: <b>Sample Data:</b><i>Latin Verb Conjugation in All Forms and Classes for Exclusion Training: Includes Correct and Mixed Forms for Comprehensive Consolidation. All forms conjugated regardless of incorrect data:</i>This dataset produced 384 declined forms for each noun. In the example below, the word 'accusativum' was declined 384 ways. However, due to a maximum character limit, the table will lack most rows, though the data is as structured:"<br> Declension Type Case Normalized Form Translation 1st Declension Nominative s. accusativua the accusative is. 1st Declension Nominative pl. accusativuae the accusatives are. 1st Declension Genitive s. accusativuae accusative's 1st Declension Genitive pl. accusativuarum accusatives’ 1st Declension Dative s. accusativuae for the accusative 1st Declension B Vocative s. accusativua hey, accusative! 1st Declension B Vocative pl. accusativuae hey, accusatives! 2nd Declension Nominative s. accusativus the accusative is. 2nd Declension Nominative pl. accusativi the accusatives are. 2nd Declension Vocative s. accusative hey, accusative! 2nd Declension Vocative pl. accusativi hey, accusatives! 2nd Declension B Nominative s. accusativer the accusative is. 2nd Declension B Nominative pl. accusativi the accusatives are. 3rd Declension Vocative pl. accusatives hey, accusatives! 3rd Declension n. Nominative s. accusativu the accusative is. 3rd Declension n. Nominative pl. accusativua the accusatives are. 3rd Declension x-stem Vocative s. accusativux hey, accusative! 3rd Declension x-stem Vocative pl. accusativuges hey, accusatives! 3rd Declension ns-stem Nominative s. accusativns the accusative is. 3rd Declension ns-stem Nominative pl. accusativntes the accusatives are. 3rd Declension ns-stem Genitive s. accusativntis accusative's 3rd Declension is/es-stem Ablative pl. accusativibus by the accusatives. 3rd Declension is/es-stem Vocative s. accusativis hey, accusative! 3rd Declension is/es-stem Vocative pl. accusatives hey, accusatives! 1st/2nd Declension Adj. M Nominative s. accusativus the accusative is. 1st/2nd Declension Adj. M Nominative pl. accusativi the accusatives are. 1st/2nd Declension Adj. N Vocative s. accusativum hey, accusative! 1st/2nd Declension Adj. N Vocative pl. accusativa hey, accusatives! 3rd Declension Adj. 1T M/F Nominative s. accusativ the accusative is. 3rd Declension Adj. 1T M/F Nominative pl. accusatives the accusatives are. 3rd Declension Adj. 1T M/F Genitive s. accusativis accusative's
DOI: 10.6084/m9.figshare.27252201.v3
title: <b>Human land-use and non-native species erode ecosystem services by changing community size structure</b>

description: This document shows the raw data and R codes that were used to produce the analyses of the manuscript entitled “<b>Human land-use and non-native species erode ecosystem services by changing community size structure”.</b><br>This manuscript investigated whether and how the replacement of natural rainforest by human land-use can change the size structure of fish communities and the consequences of this for the provision of an important ecosystem service (the fishery potential). For this, 21 years of data on the size structure of fish and fishery potential in 8 floodplain ecosystems were used.
DOI: 10.6084/m9.figshare.27269778.v1
title: Habitat_Mapping_Castelporziano

description: In this study, we compare the ability of single-date PRISMA (PRecursore IperSpettrale della Missione Applicativa), the hyperspectral satellite from the Italian Space Agency, with that of both single-date and multi-date Sentinel-2 (S2) and PlanetScope (PS) to detect and correctly classify various EUNIS habitat types in a natural reserve in Central Italy. We performed a pixel-based classification with the Random Forest algorithm using a set of spectral indices computed from the three sensors. A Canopy Height Model (CHM) was also used as an input variable for the classification.
DOI: 10.6084/m9.figshare.28319480.v1
title: Supplemental Tables Bothner et al.xlsx

description: Data used to generate Figures 3 and 4 and Table 4 of Bothner et al.
DOI: 10.17632/fckc8cw2jx
title: Supplementary Tables S1-S3

description: Supplementary Tables S1–S3
DOI: 10.17632/t78cvr25ty
title: Data for the study of the impact of the production of Colombian Certified Coffee on water

description: The data of 461 certified and non-certified coffee farms are presented with the values of the water quality indices according to the farm's domestic wastewater treatment system, the coffee processing system, and the management of the by-products of the wet milling process.
DOI: 10.17632/wp64dz6b3k
title: Business Management Research

description: Research Papers of Business Studies.
DOI: 10.6084/m9.figshare.12584975.v1
title: data.zip

description: Training, validition, and testing data of LiDAR derived feature maps for hydrological streamline detection of Rowan county watershed acquired from USGS (author: Larry Stanislawski (lstan@usgs.gov) and Ethan Shavers (eshavers@usgs.gov)).
DOI: 10.6084/m9.figshare.23646456.v1
title: Missouri Raster Data

description: Rasters assocaited with elevation (from the National elevation dataset), slope (created from the elevation dataset using ArcGIS), a Shannon diversity index as a metric of landscape fragmentation (created from the forest/shrub layer using Fragstats), distance to all roads (created in ArcGIS using a road TIGER shapefile), distance to forest/shrubs (created using NLCD 2016 data), human population density (created using data from the US Census Bureau). All rasters are at a 90m resolution.
DOI: 10.6084/m9.figshare.28232702.v2
title: Participant_DataSet.xlsx

description: We found aha moments in divergent thinking, taxonomic category generation, and ad hoc category generation.
DOI: 10.17632/24fw5z3y7c
title: Self-efficacy, coping and sport motivation in runners and cyclists

description: Raw data are from a cross-sectional study conducted in the sample of 156 professional athletes, including 73 cyclists and 83 runners, aged 18 to 64 years. The online Google Forms survey included several demographic questions, the Generalized Self-Efficacy Scale (GSES), the Inventory of Coping with Stressful Situations-21 (CISS-21), and the Sports Motivation Scale (SMS-28).
DOI: 10.17632/fp6hf94cp7
title: Data for: Predicting abundances of invasive ragweed across Europe using a "top-down" approach

description: Compressed file containing the site locations with the pollen integral as well as the two inventories at 1 km and 10 km grid resolution, respectively
DOI: 10.6084/m9.figshare.13049063.v1
title: Lightning datasets for SVM model training and testing

description: The training and testing datasets for the SVM models. SVM models are trainied individually for positive and negative pulses. Each row in the text files is a the decimated electric field waveform (1 MS/s after decimation) in 100 µs window obtained by CAMMA sensors.
DOI: 10.6084/m9.figshare.3180487.v3
title: Hazard Database

description: Hazard database
DOI: 10.17632/b4v7mr2g7x
title: Public bike sharing systems database

description: This dataset only contains collected data related to public bike sharing systems around the world. All the data are collected from open databases and website of the different public bike sharing operators.
DOI: 10.25403/upresearchdata.25653510.v1
title: Solution algorithms and heuristics for an energy efficient hybrid flowshop problem

description: The files contain psuedocodes of the main algorithm, the hyperheuristics, metaheuristics, and the modified exact algorithm for the scheduling problem. The main algorithm first decides on how the choice of machines at the stations with parallel processors would be made, before it decides the job orders followed in every stage. The hyperheuristic consists of six low level heuristics (LLH) which are combined with the metaheuristc by Nawaz, Enscore and Ham (NEH) and GA to form the Improved Hyper heuristic NEH (IHNEH) algorithm, and the Improved Hyper heuristic GA (IHGA) algorithm. Each of these two algorithms operate in three stages and are improved using the local search heurisitc, and share the first step, which is where the hyper heuristic is used to select a low-level heuristic for implementation. The second step makes use of the selected LLH and processing time vector derived thereby to create long replication cycles for the problem instances created, consisting of the combination of each sequencing rule (IHNEH and IHGA) and job size, followed by the neighbourhood search algorithms. The final step of the algorithm tests the effectiveness of the two solutions against the exact algorithm called the Branch and Bound (B&B) algorithm in terms of the value of makespan returned, the energy consumption level, and the running time taken to obtain the solutions. The first part of the datasets contains figures and tables of the average makespan, energy consumptions, and running times of the algorithms. The last part contains figures of the convergence of the genetic algorithm and the energy threshold reduction factors to validate. the choice of the particular parameter values over others in developing the algorithms
DOI: 10.6084/m9.figshare.24595695.v1
title: TGA-FTIR with EGA raw data files

description: Polymers were analyzed by TGA-FTIR with EGA, with CSV files containing raw data for the EGA FTIR spectra, and the TGA trace.
DOI: 10.6084/m9.figshare.3525110.v1
title: Appendix A. The derivation of evolutionary dynamics of defense evolution.

description: The derivation of evolutionary dynamics of defense evolution.
DOI: 10.17632/f2bgr7tdtt
title: ArEEG_Chars

description: ArEEG_Chars, the first EEG dataset for Arabic characters, consists of high-quality recordings for 31 unique characters from 30 participants (21 males and 9 females) using the Epoc X 14-channel device. Each participant was asked to focus on all Arabic letters for 10-second segments each. 
Each Folder is named after the letter and it contains 30 CSV file of wave records.
DOI: 10.17632/zgr3htjy64
title: The adsorption of carbon and nitrogen oxides on the PuO2 {110} surface: a DFT + U study

description: Input files for VASP simulations (INCAR) and output structures (CONTCAR)
DOI: 10.6084/m9.figshare.12017181.v1
title: Microtubule self-organisation during seed germination in Arabidopsis

description: This data set is Raw Imaging Data (Z stacks of one replicate) for the paper entitled Microtubule self-organisation during seed germination in Arabidopsis.<br>
DOI: 10.6084/m9.figshare.15170898.v1
title: STICC: A multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity

description: Spatial clustering has been widely used for spatial data mining and knowledge discovery. An ideal multivariate spatial clustering should consider both spatial contiguity and aspatial attributes. Existing spatial clustering approaches may face challenges for discovering repeated geographic patterns with spatial contiguity maintained. In this paper, we propose a Spatial Toeplitz Inverse Covariance-Based Clustering (STICC) method that considers both attributes and spatial relationships of geographic objects for multivariate spatial clustering. A subregion is created for each geographic object serving as the basic unit when performing clustering. A Markov random field (MRF) is then constructed to characterize the attribute dependencies of subregions. Using a spatial consistency strategy, nearby objects are encouraged to belong to the same cluster. To test the performance of the proposed STICC algorithm, we apply it in two use cases. The comparison results with several baseline methods show that the STICC outperforms others significantly in terms of adjusted rand index and macro-F1. Joint count statistics is also calculated and shows that the spatial contiguity is well preserved by STICC. Such a spatial clustering method may benefit various applications in the fields of geography, remote sensing, transportation, and urban planning, etc.
DOI: 10.6084/m9.figshare.19209057.v2
title: Global soil methane budget and drivers in forest ecosystems

description: Dataset S1 used to construct a mixed effect model. And predicted global map (1 km resolution) of soil methane flux (kg CH<sub>4</sub> ha<sup>–1</sup> yr<sup>–1</sup>) during 1991 to 2020 in forest ecosystems.