cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wpv6jx3yc4
title: Convolvulaceae: bagging experiment and pollinator observation data (Hassa et al. 2023)

description: Mating systems, pollinators, and degree of pollinator dependence in morning glory species (Convolvulaceae)
Piriya Hassa, Paweena Traiperm, and Alyssa B. Stewart

Angiosperms are highly diverse, exhibit a range of mating systems, and are pollinated by diverse animal taxa. Some plant species are highly dependent on pollinators (e.g, self-incompatible, dioecious, dichogamous, and/or herkogamous species) while others are less dependent (e.g., self-compatible and hermaphroditic species). We studied the pollination ecology of 15 terrestrial morning glory species (Convolvulaceae) in northeastern Thailand, a family that is highly diverse yet understudied in the paleotropics. Specifically, we studied their mating systems and degree of pollinator dependence using pollination experiments, examined pollinator composition and visitation rates using video observation, and determined if there is an association between pollinator visitation rates and degree of pollinator dependence. Our results revealed that most species are self-compatible, but the degree of pollinator dependence varies. Six species were found to be highly dependent on pollinators (two are self-incompatible and four are self-compatible but had reduced seed set when pollinators were excluded, possibly due to herkogamy), seven species showed low dependence on pollinators (seed set remained high when pollinators were excluded), and degree of pollinator dependence was inconclusive for two species (seed set was low in all pollination treatments). We also found an association between pollinator visitation rates and degree of pollinator dependence: species exhibiting high pollinator dependence received frequent visits from pollinators, while species exhibiting low pollinator dependence either received frequent visits from pollinators (and received high amounts of xenogamous pollen) or infrequent visits from pollinators (and received significantly lower amounts of xenogamous pollen). The two species with low seed set across all treatments were visited by pollinators, but may be self-incompatible and have genetically depauperate populations. Most of our study species were primarily visited by bees (e.g., Lasioglossum, Amegilla, Apis, and Meliponini spp.), with the exception of one night-blooming species that was primarily visited by crepuscular butterflies and hawkmoths. The cumulative findings of this study help improve our understanding of pollinator dependence across related plant taxa, and are also important for assessing the conservation risks of paleotropical morning glory species.
DOI: 10.6084/m9.figshare.23947284.v2
title: Data and codes for GSH_EL

description: Data and codes for the Geographical Spatial Heterogeneous Ensemble Learning (GSH-EL)
DOI: 10.6084/m9.figshare.5631988.v1
title: Data for Identifying influential neighbors in animal flocking

description: Schooling fish are an impressive group-level coordination in which multiple individualsmove together in a seamless way. This is possible because each individual in the groupresponds to the movement of other group members. But how many individuals doeseach fish pay attention to? Which are the influential neighbors? We need to answerthese questions if we want to understand how directional information propagates acrossa group. Our research shows that in the rummy-nose tetras species there is a limitednumber of influential neighbors which are not necessarily the closest ones.<br>The data set here contains all the data used in our research. There are three compressed zip files for experimental data of group of 2 fish, experimental data of group of 5 fish and null model data of group of 5 fish, respectively.<br>To use the data so as to interpret our research, let's take the group of 2 fish for an example.<br>First, unzip the file "UturnPositionData_2fish.zip" into a folder, then you'll find 1133 RData files. Which can group into 3 categories: position_uturns_fishNo_2_uturn_i.RData with i=1,2,...,1135; uturn_info_fishNo=2.Rdata and uturn_bad_fishNo=2.Rdata.<br>Second, now you can load the data with software R.You'll find that all the data are in dataframe. The position_uturns_fishNo_2_uturn_i.RData has the trajectory information around the U-turn events, while the uturn_info_fishNo=2.Rdata and uturn_bad_fishNo=2.Rdata contain the beginning and ending time information for the good U-turn events and the U-turn event IDs for the bad ones, respectively. The bad U-turn events are those with too much errors from the video tracking procedure thus we omitted in our analysis.<br>Third, then you can follow the methods in our manuscript and reproduce our results.
DOI: 10.25442/hku.22860836.v1
title: Supporting data for <em><strong>"Physical Activity for Cognitive Health in Obesity and Cancer"</strong></em>

description: The dataset file contains two excel files of the dataset/supporting data for the MPhil thesis submission: (1) "ChildhoodCancer_PA_Cognition_SRMA_study.xlsx" and (2) "Obesity_AIT_Cognition_RCT_study.xlsx". <br> The first excel file contains a dataset of a systematic review and meta-analysis evaluating the effects of physical activity and exercise interventions on cognitive function in individuals affected by childhood cancer. This excel file consists of four worksheets: (1) "PrimaryDataRCT" contains the data for the primary outcome meta-analysis of randomised controlled trials, (2) "PrimaryDataNRSI" contains the data for the primary outcome meta-analysis of non-randomised studies of interventions, (3) "SecondaryDataRCT" contains the data for the secondary outcome meta-analysis of randomised controlled trials, and (4) "SecondaryDataNRSI" contains the data for the secondary outcome meta-analysis of non-randomised studies of interventions. <br> The second excel file contains a dataset of a secondary analysis of an on-going three-arm randomised controlled trial investigating the effects of once-weekly AIT versus thrice-weekly AIT on cognitive function in adults with obesity. This excel file consists of two worksheets: "ParticipantCharacteristics" contains the data for baseline participant characteristics and "Data" contains the data of outcome measurements.
DOI: 10.6084/m9.figshare.23995743.v1
title: Dataset2_train.tsv

description: This file contains the training protein sequences for Dataset2
DOI: 10.6084/m9.figshare.25365754.v1
title: Atlantic Puffin Fecal DNA Metabarcoding: 2021-2022, Maine, USA

description: AbstractThese data include quantifications of prey types identified through metabarcoding using 12S and 18S genes and the DNA present in Atlantic puffin <i>(Fratercula arctica)</i><i> </i>feces<i>.</i> Fecal samples were collected on Matinicus Rock, Maine during the incubation and chick-rearing periods of 2021 and 2022. Fecal samples were stored in DNA/RNA shield and were processed within 12 weeks of collection, with processing performed at the Cornell Lab of Ornithology and sequencing performed on an Illumina Hi-seq 2500 at the University of New Hampshire. Samples have been rarefied to an even read depth (600 reads for 12S, 2500 for 18S) and all bioinformatics work was performed by GVC in Qiime2. Data are presented here in separate csv files for each year and gene region examined, as well as corresponding metadata relating to sample collection (date and age of bird).Subject keywordsBiological sciences, DNA metabarcoding, Fratercula arctica, Gulf of Maine, seabird dietREADME: Atlantic Puffin Fecal DNA Metabarcoding: 2021-2022, Maine, USACSV files included display rows representing unique fecal samples, with ID numbers corresponding to individual fecal samples obtained from breeding Atlantic puffins (<i>Fratercula arctica</i>). Columns represent the DNA sequence reads belonging to each prey type, as identified in the top row. This data structure enables easy calculation of RRA values using the number of taxa-specific DNA sequences within an individual sample or conversion to binary presence/absence for FOO calculations. All samples have been rarefied to equal read depths for each gene region (12S - 600 reads, 18S - 2500 reads). CSVs containing sample information include the data of sample collection, the age of the bird the sample is from, and the position of the samples on the plate during processing. All samples were collected fresh and so the sample collection date is the same as sample deposition date.<br>Code/SoftwareFollowing sequencing, these data were processed in Qiime2 using scripts accessible at:https://github.com/GemmaClucas/Matinicus-Rock-2021-Atlantic-PuffinsStraightforward use of R package 'vegan' allowed for calculation of species diversity metrics and nonparametric tests (ANOSIM, PERMANOVA, and more) examining community similarity. Other packages used with this dataset include 'stats' and 'ggplot2' but the data presented here have only been processed using Qiime2.
DOI: 10.17632/58fgc8xmdw
title: Image of particles from marine sediment samples collected in Bali and Aceh in August at UPM, Malaysia

description: Image of particles from marine sediment samples collected in Bali and Aceh in August at UPM, Malaysia
DOI: 10.17632/8972jxbpmp
title: HLS-CMDS: Heart and Lung Sounds Dataset Recorded from a Clinical Manikin using Digital Stethoscope

description: ** Accepted in IEEE Data Descriptions Journal **
This dataset contains 535 recordings of heart and lung sounds captured using a digital stethoscope from a clinical manikin, including both individual and mixed recordings of heart and lung sounds; It includes 50 heart sounds, 50 lung sounds, and 145 mixed sounds. For each mixed sound, the corresponding source heart sound (145 recordings) and source lung sound (145 recordings) were also recorded. It includes recordings from different anatomical chest locations, with normal and abnormal sounds. Each recording has been filtered to highlight specific sound types, making it valuable for artificial intelligence (AI) research and applications in automated cardiopulmonary disease detection, sound classification, and deep learning algorithms related to audio signal processing. If you use this dataset in your research, please cite the following paper:

Y. Torabi, S. Shirani and J. P. Reilly, "Descriptor: Heart and Lung Sounds Dataset Recorded from a Clinical Manikin using Digital Stethoscope (HLS-CMDS)," in IEEE Data Descriptions, https://doi.org/10.1109/IEEEDATA.2025.3566012 .

Data Type: Audio files (.wav), Comma Separated Values (.CSV)

Each category is accompanied by a corresponding CSV file that provides metadata for the respective audio files. The CSV files (HS.csv, LS.csv, and Mix.csv) contain metadata about the corresponding audio files, including the file name, gender, heart and lung sound type, and the anatomical location where we recorded the sound.

Sound Types: Normal Heart, Late Diastolic Murmur, Mid Systolic Murmur, Late Systolic Murmur, Atrial Fibrillation, Fourth Heart Sound, Early Systolic Murmur, Third Heart Sound, Tachycardia, Atrioventricular Block, Normal Lung, Wheezing, Fine Crackles, Rhonchi, Pleural Rub, and Coarse Crackles.

Auscultation Landmarks: Right Upper Sternal Border, Left Upper Sternal Border, Lower Left Sternal Border, Right Costal Margin, Left Costal Margin, Apex, Right Upper Anterior, Left Upper Anterior, Right Mid Anterior, Left Mid Anterior, Right Lower Anterior, and Left Lower Anterior.

Applications: AI-based cardiopulmonary disease detection, unsupervised sound separation techniques, and deep learning for audio signal processing.
DOI: 10.6084/m9.figshare.16691767.v1
title: RNA sequencing data from MDSCs sorted from 4T1 tumor bearing WT or beta-2 adrenergic receptor knockout mice.

description: These data are nanostring RNA sequencing data from MDSCs sorted from 4T1 tumor bearing WT or beta-2 adrenergic receptor knockout mice.
DOI: 10.6084/m9.figshare.27857970.v4
title: Spatiotemporal variation in the dissolved black carbon concentrations in three estuaries

description: This dataset contains the following data: sampling date, sampling locations, sample depths, salinity, total suspended matter (TSM) concentration; dissolved black carbon; and the deviation of dissolved black carbon to the conservative mixing between fresh and saline end-members.
DOI: 10.6084/m9.figshare.28633319.v1
title: RaMP Relational Database of Metabolite Pathways v2.5.4 (sqlite)

description: RaMP Relational Database of Metabolite Pathways. This is the sqlite version of the database, which is what is used by the current version of the R package, and the website. Going forward, the sqlite version will be the only version distrubted (we are no longer creating MySQL database dumps).<br><br>The RaMP DB contains metabolite, gene and protein information and mappings from these analyte types to ontologies (HMDB), reactions (Reactome, Wikipedia, and a portion of KEGG) and reactions from rhea-db.org.
DOI: 10.6084/m9.figshare.8794931.v1
title: EMP 16S rRNA V4 515F/806R Parada Appil

description: This is an archive of the EMP 515F-806R 16S rRNA barcoded primers.
DOI: 10.6084/m9.figshare.13140659.v1
title: Survey data record of 36 learning centers , Thailand

description: Survey data record of 36 learning centers in the hospitals across Thailand
DOI: 10.6084/m9.figshare.15102123.v1
title: Data Availability

description: Data Availability
DOI: 10.6084/m9.figshare.19383272.v1
title: Polyploidy, genome size variation and diversification in an autopolyploid complex: the case of <i>Turnera sidoides</i> (Passifloraceae, Turneroideae)

description: Polyploidy is a major force in plant evolution. The possession of more than two chromosome complements may affect the genetic and genomic constitution and the phenotypes of polyploids, having consequences for their ecology, geography and diversification. Here, we used <i>Turnera sidoides</i> autopolyploid complex to assess the effect of polyploidy on genome size and on the diversification of this species. The remarkable diversity in habitat preferences, ploidy levels and multiple independent origins of polyploids, make this complex a suitable model for disentangling the effects of phylogenetic relationships and environmental conditions on the variation in genome size. We used an integrative approach comprising genome size estimations in 53 (diploid to hexaploid) populations of the different subspecies and morphotypes of <i>T. sidoides</i>, a molecular phylogenetic reconstruction and a biogeographical analysis to identified closely related diploids and polyploids that remained in the same habitat aiming to answer the following questions: 1) does polyploidy <i>per se</i> induce a significant change of the Cx-value?; 2) is the Cx-value variation an adaptive response/consequence to different environmental gradients?; and 3) does polyploidy enable the range expansion of diversified diploid lineages within the same ecoregion?. Comparisons of Cx-values among phylogenetically related diploids–polyploids provided evidence that polyploidy is not the main factor determining the Cx variation. Instead, the Cx-values varied associated with few climatic variables along latitudinal and climatic gradients, suggesting that variation in genome size would have been an adaptive response to different habitats. The analysis of the environmental preferences of diploid and polyploids within each lineage provides evidence that autopolyploidy further promoted the range expansion of the already diversified diploids. These results together with the morphological constancy among different cytotypes within lineages suggest that autopolyploidy <i>per se</i> did not contribute significantly to the morphological and taxonomic diversification, but enabled further range expansion of lineages within the complex.
DOI: 10.17632/v8pcdgthwz
title: Optimization of polysaccharide ultrasonic extraction process, activity screening and structure identification of Gastrodia elata Bl.

description: This dataset includes single-factor data on ultrasound-assisted extraction of Gastrodia elata polysaccharides, purification and elution data of different components of Gastrodia elata polysaccharides, in vitro free radical scavenging capacity data, in vitro cell activity test data, and structural characterization data of preferred Gastrodia elata polysaccharides DGP1, etc
DOI: 10.6084/m9.figshare.23300687.v1
title: Supplementary Material for: Development and validation of a nomogram for renal survival prediction in patients with autosomal dominant polycystic kidney disease

description: Introduction：Due to the wide variation in the prognosis of autosomal dominant polycystic kidney disease (ADPKD), prediction of risk of renal survival in ADPKD patients is a tough challenge. We aimed to establish a nomogram for the prediction of renal survival in ADPKD patients. Methods: We conducted a retrospective observational cohort study in 263 patients with ADPKD. The patients were randomly assigned to a training set (N= 198) and a validation set (N=65) and demographic and statistical data at baseline were collected. The total kidney volume (TKV) was measured using stereology. A clinical prediction nomogram was developed based on multivariate Cox regression results. The performance and clinical utility of the nomogram were assessed by calibration curves, the concordance index (C-index), and decision curve analysis (DCA). The nomogram was compared with the height-adjusted total kidney volume (htTKV) model by receiver operating characteristic curve analysis, and DCA. Results：The five independent factors used to construct the nomogram for prognosis prediction were age, htTKV, estimated glomerular filtration rate (eGFR), hypertension, and hemoglobin. The calibration curve of predicted probabilities against observed renal survival indicated excellent concordance. The model showed very good discrimination with a C-index of 0.91 (0.83-0.99), and an area under the curve (AUC) of 0.94, which were significantly higher than those of the htTKV model. Similarly, DCA demonstrated that the nomogram had a better net benefit than the htTKV model. Conclusion: The risk prediction nomogram, incorporating easily assessable clinical parameters, was effective for the prediction of renal survival in ADPKD patients. It can be a useful clinical adjunct for clinicians to evaluate the prognosis of ADPKD patients and provide individualized decision-making.
DOI: 10.6084/m9.figshare.25868629.v1
title: The Impact of Overnight Work on Employee's Health and Lifestyle among Korean Adults: An Age-and Gender-Matched Study

description: Shift work has become more widespread globally as the demand for round-the-clock production and service industries continues to grow. This study investigated the health and lifestyle disparities between day and overnight workers, focusing on the impact of work schedules on employee health. We used the raw data from the 2018–2021 Korea National Health and Nutrition Examination Survey involving 604 adult workers. The results revealed that overnight workers faced increased risks for health concerns such as sleep deprivation (weekday sleep time: Day = 6.78 ± 1.35, Overnight = 6.36 ± 1.65, p &lt; 0.00), type 2 diabetes (HbA1c (%): O.R = 5.66, 95% CI: 2.57 – 12.45) compared to day workers. Furthermore, sedentary behavior time (≥ 601 minutes: O.R = 2.12, 95% CI: 1.25 – 3.60) and lifestyle factors (white-collar workers: O.R = 0.49, 95% CI: 0.28 – 0.85, low-income individuals: O.R = 2.32, 95% CI: 1.28 – 4.19, smoking status: O.R = 2.75, 95% CI: 1.70 – 4.43) were found to be associated with the overnight work. The study emphasizes the need for targeted interventions, policies, and collaboration to address overnight workers' unique challenges, support their well-being, and raise awareness of associated health risks.
DOI: 10.17632/4fjbs4j24j
title: Mechanisms of mindfulness and self-compassion on satisfaction with life: a correlational study

description: This study aimed to investigate the mechanisms of action of mindfulness and self-compassion. the literature on mindfulness indicates that self-compassion may be one mechanism by which mindfulness improves mental health and psychological well-being. To this hypothesis, the present study evaluates the mediating role of self-compassion in the relation between mindfulness and two positive psychological functioning variables: satisfaction with life and emotion regulation. Some authors have proposed that the influence of mindfulness on self-compassion may be reciprocal. To test this proposal, the present study also evaluates the mediating role of mindfulness in the relation between self-compassion and the two studied variables. Finally, emotion regulation has been regarded as a possible mechanism of action for self-compassion. Motivated by this idea, this study also sought to find out whether emotion regulation mediates the relation between self-compassion and satisfaction with life. Our results provide empirical support to the mediating role of self-compassion in the relation between mindfulness and positive psychological functioning. Contrarily, mindfulness generally does not mediate the effects of self-compassion, which contradicts the idea of the reciprocal influence of mindfulness and self-compassion. Finally, our results also confirmed the mediating role of emotional repair between self-compassion and satisfaction with life.
DOI: 10.17632/x4jr57n3fp
title: Tachykinin signaling in the right parabrachial nucleus mediates early-phase neuropathic pain development

description: In the present study, we uncovered the lateralized function of the PBN in driving neuropathic pain, which depends on NK1R activation in the right-sided PBN.
DOI: 10.6084/m9.figshare.28589216.v1
title: A new open dataset from a milling process – data for classification and estimation of tool life

description: The data set contains raw data (Pxxx_Fyy_Czz.csv files) and processed data (a file with designated features - FeatureAndMetadata_Milling.csv) from the full life cycle of 14 cutting tools used in the milling process. The tools performed 968 milling cycles. The data contain vibration signals (8 measuring channels from the spindle and work table) and current signals (12 measuring channels from the spindle and work table).

A metadata file is also available, in which each cycle is assigned process data (e.g. tool number, sample number, sample hardness)

The data set is useful for work on the classification of tool condition or estimation of their service life.

It is possible to use only FeatureAndMetadata_Milling.csv and work with calculated features or download all files and work with raw data.