cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25714005.v1
title: Fig_3

description: This data set belongs to the paper "CControlled pathways and sequential information processing in serially coupled mechanical hysterons" by J. Liu, M. Teunisse, G. Korovin, I. R. Vermaire, L. Jin, H. Bense and M. van Hecke, published in "Proceedings of the National Academy of Sciences of the United States of America". For more information on the methodology and techniques we refer to this article and the supplemental information belonging to the article.
DOI: 10.17632/4ntjt7nrbj
title: OneyearVOCandtracegasmeasurements_1hour_data

description: This dataset presents one year of continuous measurements acquired using the IISER Mohali Central Atmospheric Chemistry facility over north west India for VOCs and trace gases at 1 hour resolution.
DOI: 10.17632/dm9dbndrn9
title: Dataset Perceived attractiveness, Environmental Management, Meaningfulness, Destination Image, Tourist Satisfaction, and Revisit Intention

description: This dataset contains respondents' answers regarding Perceived attractiveness, Environmental Management, Meaningfulness, Destination Image, Tourist Satisfaction, and Revisit Intention
DOI: 10.6084/m9.figshare.12422300.v1
title: Additional file 1 of Reproducibility of EEG functional connectivity in Alzheimer’s disease

description: Additional file 1: Supplementary Table 1. Difference in functional connectivity (FC) between SCD and AD subjects estimated by ANOVA model 1 (correction for age and gender). Supplementary Table 2. Difference in functional connectivity (FC) between SCD and AD subjects estimated by ANOVA model 2 (correction for age, gender and global relative power). Supplementary Figure S1. Topographical distribution of the median difference in Z-score of the PLI and AEC-c between the SCD and AD subjects. Supplementary Figure S2A & 2B. Summary of observed differences in ANOVA model 1, shown as effect size (Cohen’s d), between AD and SCD subjects in different regions for the AEC-c and PLI in each bandwidth. Supplementary Figure S3A-C. Correlation coefficients (r) between functional connectivity measures in the theta (A), alpha (B) and beta (C) bandwidths. In each figure, the coefficients on the right are corrected for changes in relative power and the coefficients on the left are the uncorrected values.
DOI: 10.17632/rkw2g38rjp
title: Data set for the supplementary data analyses for the associations of child maltreatment and diabetes in adulthood and the mediating effect of personality functioning

description: This data set supports the research article ‘supplementary data analyses for the associations of child maltreatment and diabetes in adulthood and the mediating effect of personality functioning' (Zara et al., 2022). Representative data of the German population were collected between October and November 2016 (N = 2,510) and May and July 2019 (N = 2,531), yielding a total of N=5,041 participants . The data set includes participants’ socio-demographic variables (age, gender, level of education, partnership status and income), and the raw data of the items  as well as the sum scores for the Childhood Trauma Questionnaire (CTQ), the 4-Item PatientHealth Questionnaire (PHQ-4) and the short version of the OPD Structure Questionnaire (OPD-SQS). For diabetes, a dichotomous variable is included.
DOI: 10.6084/m9.figshare.20988010.v2
title: Plasma Wave and Particle Dynamics During Interchange Events in the Jovian Magnetosphere Using Juno Observations

description: Dataset used to produce figures for the paper and supporting information submitted to Geophysical Research Letters with the title "Plasma Wave and Particle Dynamics During Interchange Events in the Jovian Magnetosphere Using Juno Observations"
DOI: 10.6084/m9.figshare.8198561.v1
title: Appendix Tables S1-S5 from When spring ephemerals fail to meet pollinators: mechanism of phenological mismatch and its impact on plant reproduction

description: Table S1. Snowmelt days and flowering onset days in the control and snow removal plots during the experimental period (2014–2017). Table S2. Results of GLMMs for the snow removal experiment (2014–2017). Table S3. Results of GLMMs for seed-set rates under hand pollination (HP) and natural pollination (control) during three years (2014–2016). Table S4. Snowmelt day, flowering onset day, pre-flowering period from snowmelt to onset (PFP), accumulated degree-days for flowering onset (DD-Flower), and daily mean surface temperature during the pre-flowering period in each plot across years. Table S5. First observation day of bumble bees, day number (DoY) on which daily mean soil temperature attained at the threshold value of 5, 6, and 7ºC (TMT), and accumulated degree-days of 2ºC threshold until bee emergence (DD-Bee).
DOI: 10.17632/5rx5wt8ksh
title: Data from: Highway noise decreases the abundance of an understory rainforest bird

description: Data and R codes corresponding to the article:
Silva JN, Banhos A, Azevedo CS, Diniz P, Duca C. 2023. Highway noise decreases the abundance of an understory rainforest bird. Emu - Austral Ornithology. DOI: 10.1080/01584197.2023.2253837

The dataset comprises abundance estimates of the Rufous-capped Antithrush (Formicarius colma) in various transects extending from the forest edge (adjacent to pasture or highway) towards the interior of the forest. This research was carried out within the Sooretama Biological Reserve (SBR) located in southeastern Brazil.
DOI: 10.6084/m9.figshare.4977626.v1
title: Systematic Search of Outcome-Driven Predictive Process Monitoring v1.0

description: Listing of papers retrieved during a Systematic Literature Search of publications in the field of predictive process monitoring conducted in May 2017.<br>
DOI: 10.6084/m9.figshare.7583909.v7
title: Supplementary material for article "Analyzing Groups of Replications in Software Engineering: a Procedure and Guidelines"

description: -Code.R: file containing the R code to analyze SE groups of replications<br>-Raw Data.xlsx: file containing the raw data <br>-Characteristics.xlsx: file containing the experiment-level characteristics of the replications<br>-Rnotebook.Rmd: R notebook that applies Code.R to analyze the raw data in Raw Data.xlsx<br>-R tutorial: tutorial with embedded R code, mathematical formulae, and datasets descriptions, to ease the understanding of the analysis procedure
DOI: 10.17632/dpv3rvjvk8
title: Determination of curie point depth, heat flow, and geothermal gradient to infer the regional thermal structure beneath the Malay Peninsula using de-fractal method.

description: The de-fractal approach was used to calculate the depth to bottom of magnetic sources (DBMS) beneath the Malay Peninsula and surrounding regions. DBMS estimates for the study area range from ~7.3 to 49.3 km with a mean value of 21.4 km. The deepest DBMS (up to 49 km) is associated with Sumatra Island, while elevated DBMS as shallow as 7 km have been documented in areas impacted by thermal springs in the western Malay Peninsula. This suggest that the hot springs in these regions are highly promising for geothermal exploration. Comparison of DBMS estimates with crustal thickness from previous studies shows that the DBMS in the Malay Peninsula region are shallower than the Moho, indicating that the curie surface is a thermal boundary layer, rather than reflecting a change in mineral composition. However, depth estimates along the Sumatra Island suggest that the upper mantle beneath the region have contributed to surface magnetisation.
DOI: 10.6084/m9.figshare.19140212.v2
title: Supplemental Table S1

description: This is a table with chemical composition of feeds and fermentation profile of silages.<br>
DOI: 10.17632/739k25yj4s
title: Raw dataset of seminal proteomic from four purebred dogs

description: Hypothesis: Does dogs exhibit different protein profile of seminal plasma and spermatozoa among breeds? 

What data shows: These data show the proteomic profile and its respectively gene ontology of seminal plasma and sperm cells of four purebred dogs (Golden Retriever n = 3, Bernese Mountain Dog n = 4, Great Dane n = 3, Maremmano-Abruzzese Sheepdog n = 3), with mean ages and standard deviation of 4,0 ± 1,0 years (Golden Retriever), 2,0 ± 1,0 years (Bernese Mountain Dog), 1,4 ± 0,5 years (Great Dane) and 4,0 ± 0,7 years (Maremmano-Abruzzese Sheepdog), kenneled at Sao Paulo State, Brazil. Besides 

How it was gathered: Entire second fraction and a portion of the third semen fraction were collected into a silicone funnel attached to a graduated plastic tube by manual stimulation of the penis in the presence of a teaser bitch, when possible. The semen was subjectively evaluated at the kennel, and only ejaculate within normal seminal parameters considered for dogs, according to Kustritz et al. (2007), were used in this study. Spermatozoa and seminal plasma were separated by centrifugation and prepared individually for proteomic analysis by ESI Q-Tof mass spectrometer. The gene ontology annotation of the proteins found within the samples was obtained using the UniprotKB website (www.uniprot.org), and considered the molecular function, biological process and cellular component categories. 

How the data can be interpreted: There are two folders dataset. The "Seminal plasma and sperm cell proteins" folder contain two folders, one with all seminal plasma proteins, and other folder with all sperm cell proteins, which have individual files named by breed for each dog (n=13). The “Gene ontology of seminal plasma and sperm cell proteins” contain three files: Table S1, Table S2, and Table S3. The file Table S1 contain all proteins found in seminal plasma of evaluated dogs and their respective gene ontology. The file Table S2 contain all proteins found in spermatozoa of all dogs evaluated and their respective gene ontology. The file Table S3 contain all common proteins found in seminal plasma and spermatozoa of evaluated dogs and their respective gene ontology.

References: Kustritz R. The value of canine semen evaluation for practitioners. Theriogenology 2007;68(3):329-37.
DOI: 10.17632/7xv5rzxgrh
title: Data for: Utilizing A Responsive Web Portal For Studying Disc Tracing Agreement in Retinal Images
DOI: 10.6084/m9.figshare.16540356.v1
title: Table S9 (expanded): list including all fine mapped cardiac GWAS loci

description: This R object includes a list of all 210 fine mapped loci. Each element includes: · gene or transcript ID; · phenotype (rna or isoform); · eQTL type (0 = primary, 1-5 = conditional); · trait ID from the pan UK BioBank; · locus coordinates; · a data frame with the GWAS summary statistics for the locus, including: position; variant ID, effect size (meta-analysis); standard error and p-value; · a data frame with the eQTL summary statistics, as in Table S2: chromosome, position, reference, alternative, RS ID, variant ID, allele frequency, effect size (beta) and its standard error, p-value, gene or transcript ID, Bonferroni-adjusted p-value (across all tests for the same gene/transcript) and type (0 = primary, 1-5 = conditional); · a data frame with the fine mapped variants, sorted by PPA: variant ID; PPA (calculated using the coloc.abf function), position, cumulative PPA, and credible set (TRUE if the variant is included in the 99% credible set) · a vector with the variant IDs of all the variants included in the 99% credible set; · the credible set size
DOI: 10.17632/gkmf7kd4h4
title: Data for: Arming in the Global Economy: The Importance of Trade with Enemies and Friends

description: Description of data and codes used to create the estimation results in “Arming in the Global Economy: The Importance of Trade with Enemies and Friends” by Garfinkel, Syropoulos and Yotov. The code file "Replication_Code_GSY.do" which produces all estimates, tables, and Stata trade cost figures that appear in the paper. The file includes notes that explain each step and calls the main data file, Replication_Data_GSY.dta, which is described next. The data file "Replication_Data_GSY.dta" is the main data file that is called by "Replication_Code_GSY.do". The names of the variables in this file are self-explanatory, the variables are also labeled, and they as well as the data sources are described in the main text of the paper and in the Supplementary Empirical Appendix.
DOI: 10.17632/jkr4vzg85h
title: EBSD data and images for uniaxial compression tests

description: EBSD data for uniaxial compression tests on magnesium AZ31B. Sample 1, sample 2 and sample 3. Format is .ctf for Oxford Instruments Aztec software. Corresponding SEM images are in .tif format and are in two versions, one with data bar and one without data bar.
DOI: 10.17632/m2tr65ghzf
title: Raw data (Temperature-parasite interaction: Do trematode infections protect against heat stress?)

description: Type: Raw data Publication title: Temperature-parasite interaction: Do trematode infections protect against heat stress? Authors: Christian Selbach, Martin Barsøe, Trine K. Vogensen, Anne B. Samsing and Kim N. Mouritsen Journal: International Journal for Parasitology Year: 2020
DOI: 10.17632/nwt5m8ktgt
title: Quantifying the Central Dogma in the p53 Pathway in Single Cells

description: Data and scripts to reproduce results in: Hafner, Reyes, Stewart-Ornstein, Tsabar, Jambhekar and Lahav (2020) "Quantifying the Central Dogma in the p53 Pathway in Single Cells", Cell Systems. Please cite our manuscript if you use this dataset.
DOI: 10.17632/nfv6wytbgk
title: Spectral and elemental data (MIR, NIR, XRF) from soil and charred material in fire-managed Cerrado areas (Brazil)

description: This dataset contains spectral and elemental data collected from soil and charred material samples in the Cerrado biome, under different fire management regimes (prescribed fire and no fire). Spectral data were acquired using:

Mid-infrared (MIR) spectroscopy (4000–400 cm⁻¹)
Visible–near infrared (Vis-NIR) spectroscopy (350–2500 nm)
X-ray fluorescence (XRF) for elemental analysis
Data are organized by material type (soil or charred material), spectroscopy method, and granulometric fraction (coarse and fine). Each spreadsheet includes sample IDs, fire management information, and spectral or elemental values. These data support modeling of total carbon (TC) and pyrogenic carbon (PC) using spectroscopic techniques.
DOI: 10.17632/rns2ygyh5b
title: Comprehensive Guava Leaf Disease Dataset for Advanced Detection and Sustainable Agriculture

description: The Guava Leaf and Fruit Condition Dataset, sourced from the Vimruli Guava Garden and Floating Market in Jhalakathi, Barisal, is a comprehensive resource aimed at improving crop management through machine learning applications. This dataset includes images of healthy and diseased guava leaves and fruits, providing essential data for the classification and detection of various plant conditions. It serves as a valuable tool for researchers and practitioners working to develop automated systems for disease identification and agricultural management.

The dataset is categorized into six distinct classes: algal leaves spot, dry leaves, healthy fruit, healthy leaves, insect-eaten leaves, and red rust. Each class represents a unique condition, such as fungal spots, environmental or nutrient-related dryness, insect damage, and fungal infections, alongside healthy samples of leaves and fruits. The distribution includes 100 original and 1,300 augmented images for algal leaves spot, 52 original and 676 augmented images for dry leaves, 50 original and 650 augmented images for healthy fruits, 150 original and 1,920 augmented images for healthy leaves, 164 original and 2,132 augmented images for insect-eaten leaves, and 90 original and 1,170 augmented images for red rust. This results in a total of 606 original images and 7,294 augmented images, culminating in a dataset of 7,900 samples.

The images were captured between August and October 2024 using a iPhone 13 camera to ensure high-quality visual data. To enhance the diversity of the dataset and improve model performance, various augmentation techniques, including flipping, rotation, zooming, brightness adjustment, and shearing, were applied.

This dataset is an excellent resource for training and evaluating machine learning models, enabling the accurate detection and classification of guava plant conditions. By leveraging this well-structured and diversified dataset, researchers can contribute to the development of precision agriculture systems that support sustainable practices and improve crop yield outcomes.

1. Original Dataset:
 Number of datasets: 606
 Data format: .jpg

2. Augmented Dataset:
 Number of datasets: 7900
 Data format: .jpg
DOI: 10.15468/dl.96u5m6
title: Occurrence Download

description: A dataset containing 731 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bursera graveolens (Kunth) Triana & Planch."
 ]
}

 The dataset includes 731 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012959-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25572453.v1
title: Gut microbiota profiles of mice with IgAN

description: Full-length 16S sequencing of the gut microbiota of IgA nephropathy model mice as well as human microbiota associated-IgAN model mice.
DOI: 10.6084/m9.figshare.22691137.v2
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.17632/gfghhfvs2x
title: Enhancing aquaculture sustainability and profitability: Effects of black soldier fly larval meal on the performance of African Catfish (Clarias gariepinus) in Cameroon

description: The integration of sustainable sources of protein is imperative for economically profitable and ecologically friendly aquaculture. In this study, we investigated the potential of insect-based protein in the diet of African catfish as an alternative to fishmeal. The insect-based protein was obtained from black soldier fly larvae meals (BSFLM) obtained using different larvae killing methods was incorporated into the local catfish diet at 0%, BSFLM0; 50%, BSFLM50; 75%, BSFLM75; and 100%, BSFLM100. A standard commercial diet was used as a control and the catfish were fed for an experimental period of 120 days. Each diet was repeated three times and their nutritional value was assessed using growth parameters, sustainability of the system and fish flesh quality. No adverse effect was recorded on fish flesh quality. We concluded that fishmeal could be replaced with BSFLM up to 75% without adverse effect on growth performance, survival, and taste of catfish but reduce the cost of production and increase fish farming sustainability.
DOI: 10.17632/my23r6shy3
title: Optimization of Si-PVDF Slurry Mixing and Electrode Fabrication Data for Enhanced Lithium-Ion Battery Performance

description: In this study, we present data related to optimizing Si-PVdF slurry mixing and electrode fabrication techniques to enhance the performance of lithium-ion batteries. Three critical experimental conditions are documented in Tables 1, 2, and 3, corresponding to different stages of the research. Table 1 records data from an initial unsuccessful attempt, while Table 2 captures data from a subsequent trial that did not yield successful results. Figure 1(a) clearly depicts an unsuccessful endeavor in the slurry mixing process of Si-PVdF, utilizing a volume of 0.9 ml of NMP. The image presented exhibits notable visual characteristics that illustrate the difficulties encountered in attaining a uniform slurry, as evidenced by noticeable irregularities and accumulation within the mixture [3]. The proposed visual representation emphasizes the crucial significance of accurate quantity control of NMP (N-Methyl-2-pyrrolidone) and sheds light on the challenges encountered during the electrode fabrication process in this research phase [4]. Fig. 1(b) depicts an additional instance of an unsuccessful endeavor in the slurry mixing process of Si-PVdF, wherein 1.0 ml of NMP was employed. The sharp and detailed image captures the persistence of issues observed in Fig. 1(a), emphasizing the importance of optimizing the NMP concentration. This striking visual evidence accentuates the necessity for fine-tuning the formulation to overcome challenges and attain a consistent slurry mixture. Table 3, on the other hand, represents the outcome of a successful experiment. Each table provides information on the materials used, including Silicon (Si), Polyvinylidene fluoride (PVdF), Graphite (G), and N-methyl-2-pyrrolidone (NMP), along with their respective weights and proportions. Figure 1(c) represents a significant achievement in the research, illustrating the successful fabrication of Si-PVdF slurry following a crucial aging procedure [5]. The visual representation conveys a perception of achievement through its consistent and seamless surface quality, effectively demonstrating enhanced bonding between the slurry material and the copper foil. Additionally, the tables include electrode and copper foil weight measurements and active Si weight percentage values. The data in these tables highlight the critical role of NMP quantity and aging time in achieving a homogenous slurry and successful electrode fabrication. Notably, the successful experiment in Table 3 is marked by improved adhesion of the slurry material to the copper foil, preventing delamination. This dataset provides valuable insights into the optimization process for Si-PVdF electrode fabrication in lithium-ion batteries. It can serve as a reference for future research in battery materials science [9].
DOI: 10.6084/m9.figshare.1207916.v5
title: An Experimental Investigation on the Innate Relationship between Quality and Refactoring

description: Previous studies have investigated the reasons behind refactoring operations performed by developers, and proposed methods and tools to recommend refactorings based on quality metric profiles, or on the presence of poor design and implementation choices, i.e., code smells. Nevertheless, the existing literature lacks of observations about the relations between metrics/code smells and refactoring operations performed by de- velopers. In other words, the characteristics of code components pushing developers to refactor them are still unknown. This paper aims at bridging this gap by analyzing which code characteristics trigger the developers refactoring attentions. Specifically, we mined the evolution history of three Java open source projects to investigate whether developers refactoring activities occur on code components for which cer- tain indicators—such as quality metrics or the presence of smells as detected by tools—suggest there might be need for refactoring operations. Results indicate that, more often than not, quality metrics do not show a clear relationship with refactoring. In other words, refactoring operations performed by developers are generally focused on code components for which quality metrics do not suggest there might be need for refactoring operations. Finally, 42% of refactoring operations are performed on code entities affected by code smells. However, only 7% of the performed operations actually remove the code smells from the affected class.