cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/r5zzxg4xsw
title: Nuclear and chloroplast sequence data for 130 samples from genera Medicago, Trigonella and Melilotus (Fabaceae)

description: We sequenced target-enriched genomic libraries of 71 species of genus Medicago (Fabaceae), as well as two species of genus Trigonella and six of genus Melilotus, in a total of 130 samples. Pair-end sequence reads were obtained with Illumina MiSeq (San Diego, California, USA) for 61 targeted low-copy nuclear genes, as well as for chloroplast genomes. The CLC Assembly Cell software (CLC Bio, Aarhus, Denmark) was used for trimming, quality filtering and mapping. Sequence data for the 61 low-sopy nuclear genes are presented in multifasta format, containing phased (alleles) and consensus sequences for each sample. Chloroplast sequence data are presented as individual fasta files for each sample. Two tables, containing information on sampling and on the 61 targeted nuclear genes, are also provided.
DOI: 10.6084/m9.figshare.24125103.v1
title: Supplementary Material for: Hepatic Artery Anomalies in Pancreaticoduodenectomy: Outcomes from a High-Volume Center

description: Introduction Hepatic artery anomalies (HAA) and may have an impact on surgical and oncological outcomes of patients undergoing pancreaticoduodenectomy (PD). Methods Patients undergone PD at our Institution between July 2015 and January 2020 were retrospectively reviewed and classified into two groups: Group 1, presence of HAA and Group 2, no HAA. A weighted logistic regression model employed to assess the association between HAA and postoperative complications, and to assess the association between HAA and R status in patients with pancreatic cancer. Results 502 patients were considered for analysis, with 75 (15%) of them in Group 1. They had either an accessory (aRHA, n=28, 40.8%) or replaced (rRHA, n=26, 36.6%) right hepatic artery. Most patients underwent surgery for a malignancy (n= 451; 90%); among them, vascular resection was performed in 69 cases (15%). The presence of a HAA was reported at pre-operative imaging only in 4 cases (5%)and the aberrant vessel was preserved in 72% of patients. At weighted multivariable logistic regression analysis, HAA were not associated to higher odds of morbidity (OR 0.753, 95%CI 0.543-1.043) nor to R1 status in case of pancreatic cancer (OR 1.583, 95%CI 0.979-2.561). Conclusion In our institution the presence of HAA doesn’t have an impact on post-operative outcomes nor affects oncological clearance in PD. Hospitals’, surgeon’s volume and systematic review of preoperative imaging are all factors that help to reduce possible adverse events.
DOI: 10.6084/m9.figshare.25236931.v1
title: February 2024 release of the Fitness Browser: RB-TnSeq data for diverse bacteria and archaea

description: This data set includes 7,552 genome-wide fitness experiments for 46 bacteria and 2 archaea. Data were collected using pools of randomly barcoded transposons (RB-TnSeq). All files are gzipped. After unzipping, the files are:code.tar -- a snapshot of the code. Also see the code repositoryfeba.db -- the sqlite3 database, see schema in lib/db_setup_tables.sqlaaseqs -- the protein sequences in fasta format, with identifiers of the form orgId:locusIddb.StrainFitness.* -- a tab-delimited table of per-strain fitness values, one per organism. The suffix is the orgId. (Gene fitness values are included in feba.db, but per-strain fitness values are not.)<br>
DOI: 10.17632/brrd6g8grb
title: Does Pilates Breathing affect the Biceps Brachii neuromuscular efficiency during submaximal contraction

description: All sEMG data were normalized using the MVIC, and the mean muscle activities during concentric and eccentric phases of the biceps brachii muscles were calculated. All information was recorded and processed offline using the MIOTEC Suite™ software (MI-OTEC™; Biomedical Equipment). To set the elbow movement onset, the concen-tric-eccentric phase switch, and the end of the elbow movement, all movements were rec-orded using a camera synchronized to the sEMG acquisition. Markers were digitally set for each event (onset, switch, and end). Next, the concentric and eccentric biceps brachii electromyographic signals were windowed following the established video markers.
Neuromuscular efficiency index was determined calculating the ratio between the mean of sEMG activity (EMGs) normalized by MVIC and the corresponding percentage force (20%, 40% and 60% of MVIC). This variable was expressed as (%/Kgf). In this context, a lower ratio value indicates greater neuromuscular efficiency, meaning that the muscle can generate the required force with less electrical activity, reflecting a more optimized neuromuscular performance
DOI: 10.17632/pb6x8dt9cr
title: clinical data repository

description: Rhythmic Auditory Stimulation(RAS) has been shown to be of help in an effective gait training of people with idiopathic Parkinson’s disease(PD).The cerebellum may play an important role in RAS aftereffects by compensating the detrimental internal clock for automatic and rhythmic motricity. However, the neurophysiological mechanisms underlying RAS aftereffects are still poorly understood. In the present study, we tested the contribution of the cerebellum to RAS-based gait training aftereffects in people with PD by examining cerebellum-cerebral connectivity indices using standard EEG recording. We enrolled 50 patients with PD who were randomly assigned to two different modalities of treadmill gait training using GaitTrainer3 with and without RAS (non_RAS) during an 8-week training program. We measured clinical and kinematic gait indices and electrophysiological data(standard EEG recording during walking on GaitTrainer3) of both the gait trainings. We found that the greater improvement in gait performance following RAS than non_RAS training, as per clinical and kinematic assessment, was paralleled by a more evident reshape of cerebellum-brain functional connectivity with regard to specific brain areas(pre-motor, sensorimotor and temporal cortices) and gait-cycle phases(mainly 25-75% of the gait cycle duration).These findings suggest that the cerebellum mediates the reshape of sensorimotor rhythms and fronto-centroparietal connectivity in relation to specific gait-cycle phases. This may be consistent with a recovery of the internal timing mechanisms generating and controlling motor rhythmicity, eventually improving gait performance. The precise definition of the cerebellar role to gait functional recovery in people with PD may be crucial to create patient-tailored rehabilitative approaches.

The data deposited are related to the effects of gait training on clinical parameters (using the Functional Gait Assessment(FGA), the Unified Parkinson’s Disease Rating Scale(UPDRS), the Berg Balance Scale(BBS), the Tinetti Falls Efficacy Scale(FES), the 10-meter walking test(10MWT), the timed up-and-go test(TUG), and the gait quality index(GQI) derived from gait analysis) collected at baseline (TPRE)  and at the end of the rehabilitation period (TPOST) in NMT and non-NMT groups.
DOI: 10.6084/m9.figshare.14286687.v1
title: EVALUATION OF THE CONSUMER STYLE INVENTORY (CSI) SCALE IN THE BRAZILIAN CONTEXT

description: ABSTRACT The objective of this study is the evaluation, in the Brazilian context, of the Consumer Style Inventory (CSI), developed by Sproles e Kendall (1986), which investigates the consumers’ decision-making styles. The present research focuses on young people, since few studies investigated the decision-making process of this population, despite the impact of the experiences lived in the adolescence on the individuals’ adult behavior and the fact that the adolescents are more responsible for their consumption decisions and have more influence on the familiar decisions than ever before. By a survey with 464 adolescents, the scale was evaluated, refined and validated. First of all, we assess the content validity. Then, the sample was divided randomly in two: the first part served to purify the measures and the second one, to validate the measurement model. Overall, the results indicate a factorial structure similar to the initial study and the reliability and validity of the CSI scale on the Brazilian context, with some changes - one item of each of the following styles: guided by the fashion, by the brand, and hedonism; and two items of the impulsive style had weak differentiation among the factors, weak identification with their respective styles or, still, indicated significant improvement in the goodness-of-fit indices of the measurement model by being removed, justifying their exclusion.
DOI: 10.6084/m9.figshare.28040189.v1
title: Li&He_Asynchrony_JEcol

description: To be filled.
DOI: 10.6084/m9.figshare.28933982.v1
title: <b>The temporal upsurge in Dengue in 2024 created a medical emergency in Guatemala</b>

description: Three years data for children dengue cases from Guatemala
DOI: 10.17632/p8c6s3w5yr
title: PLoS One

description: Data of clinical research
DOI: 10.6084/m9.figshare.13218527.v2
title: Ntrk_V573M_Inact_Larotrectinib.log

description: Docking data for NTRK1 (TrkA) wildtype and mutants
DOI: 10.6084/m9.figshare.13281269.v3
title: Selective disappearance does not underlie age-related changes in trait repeatability in red squirrels - data, meta-data, and code

description: The data, meta-data, and code for how selective disappearance and fluctuating selection maintain animal personality in North American red squirrels (<i>Tamiasciurus hudsonicus</i>) in Yukon, Canada. Data obtained with funding from the Natural Sciences and Engineering Council of Canada, Northern Scientific Training Program, and the National Science Foundation.<br><br>Martinig, A. R., K. J. Mathot, J. E. Lane, B. Dantzer, & S. Boutin. 2021.<i> </i>Selective disappearance does not underlie age-related changes in trait repeatability in red squirrels. Behavioral Ecology 32:306–315. DOI: 10.1093/beheco/araa136
DOI: 10.6084/m9.figshare.26251661.v1
title: Conjunto de Datos AS y DE

description: Conjunto de Datos [simulado] Articulo <b>ANÁLISIS DE SENTIMIENTOS Y DETECCIÓN DE EMOCIONES: APLICACIONES DE LA IA EN LA COMUNICACIÓN DIGITAL</b>
DOI: 10.17632/49c3z8sg9z
title: CAM in DM: A Scoping Review- Table 1: Characteristics of Studies included in Scoping Review

description: Characteristics of Studies included in Scoping Review
DOI: 10.17632/5gdympwhyb
title: Prevalence and Main-string of Self Medication of Over-the-counter Drugs among Medical Students of Azad Jammu and Kashmir, Pakistan.

description: Background: Over-the-counter drugs also known as OTC are readily available in the market without any prescription OTC medicines treat a variety of illnesses and their symptoms including pain, coughs and colds, diarrhea, constipation, acne, and others. The consequences of such practices should always be emphasized to the community and steps to restrict them. 
Objective: To assess the knowledge, attitude and practices regarding self-medication of over-the-counter (OTC) drugs in Medical Students of AJK.
Methods: Research was conducted among Medical Students of AJK. An online questionnaire was distributed among all 5 Years of all 4 Medical Colleges of AJK through WhatsApp. The data was collected between 25th June and 31st July 2023. SPSS-25 was used for data analysis.
Results: A total of 372 participants recorded their responses. 65.3% practiced self-medication last year. The most common drugs used were Analgesics/Antipyretics (55.9%). Symptoms for which medical students self-medicated the most were fever, pain and toothache (58.1%).
Conclusion: Self-medication of over-the-counter drugs is a modern-day problem. Medical students self-medicate without having proper knowledge and clinical skills. They change the treatment regimen multiple times according to their convenience, reducing the efficacy of the medicines.
Keywords: Self-Medications, Over the Counter Drugs, Drug Resistance, Dependence.
DOI: 10.6084/m9.figshare.22580476.v2
title: Genome annotations of Malania oleifera

description: Annotations of gene and repeat (GFF files), gene (transcript/CDS/protein) sequences (FASTA files), and functional annotation of genes (XLS file).
DOI: 10.6084/m9.figshare.24648660.v1
title: HiGTS

description: HiGTS is a high-resolution global gridded dataset of human thermal stress indices. Derived using climate variables from ERA5-Land and ERA5, the HiGTS consists of hourly gridded maps of MRT, UTCI, UTCI level, and daily TSD at 0.1° × 0.1° spatial resolution over the global land surface. It spans from January 1, 2000, to December 31, 2023. However, the data in December 2023 was uploaded for demonstration due to repository capacity limitations. The full dataset is available and free to download via the Data Sharing and Service Portal which is built for the release and sharing of data resources of the Big Earth Data Science Engineering Project (CASEarth) launched by the Chinese Academy of Sciences (CAS).
DOI: 10.6084/m9.figshare.26409637.v2
title: CPLID Dataset - ZIP

description: To obtain the complete dataset, please download the ZIP file.This dataset is divided into two part:<code>Normal_Insulators</code> contains the normal insulators capture by UAVs. The number of the normal insulator images is <b>600</b>.<code>Defective_Insulators</code> contains the insulators with defect. The number of the defective insulator images is <b>248</b>. Since we don't have too much defective insulators, the data augmentation method is applied. These images are synthesized by following process:Use the algorithm in TVSeg to segment the defective insulator from a small part original images, the segment results are the mask images;Use affine transform to augment the original images and their mask, the augmentation results is a lot of original-mask image pairs;Use these image pairs to train the U-Net;Use the trained U-Net to segment the rest part of images;Attach the insulators in different backgrounds.<br><br>Both these two directories contain two subdirectories, one called <code>images</code> contains the image files, the other called <code>labels</code> contains the VOC2007 format annotations.The <code>labels</code> of <code>Normal_Insulators</code> contains <b>only</b> the annotations of insulators;The <code>labels</code> of <code>Defective_Insulators</code> contains not only the annotations of insulators but also the annotations of defects which on the insulators.The images is provided by the State Grid Corporation of China, and the dataset is made by WANG Zi-Hao. If you have any question about this dataset, feel free to contact zhwang0721@gmail.com.
DOI: 10.6084/m9.figshare.28082345.v1
title: Normalized data for all positive control patients, healthy controls and patients with VUS.

description: Foldchange values for all features of healthy controls, positive control patients and patients with VUS
DOI: 10.17632/3gxr2vvd9n
title: Antenna Parameters Dataset

description: After successfully simulating our custom-designed antenna, we gathered the optimized results. We then performed parameter sweeps for substrate width, substrate length, substrate height, patch width, patch length, feedline width, slot1 width, slot1 length, slot2 width, and slot2 length. Each parameter was swept individually while keeping the others fixed. We varied the values of substrate width and length from 5.5 mm to 7.5 mm, patch width from 4.4 mm to 6.4 mm, patch length from 1.5 mm to 5.1 mm, feedline width from 0.5 mm to 0.9 mm, slot1 width from 0.3 mm to 0.4 mm, slot1 length from 0.8 mm to 0.9 mm, slot2 width from 0.25 mm to 0.35 mm, and slot2 length from 0.5 mm to 0.6 mm. Each parameter was varied in 10 discrete steps. Following each sweep, we extracted the gain, directivity, S11 parameter, radiated efficiency, and total efficiency data from the simulation software, saving these as Txt files on the local computer. Subsequently, we converted all these Txt files into Excel (xlsx) format. We manually removed unnecessary data rows, keeping only the desired frequency data. Once all the data was gathered, we consolidated it into a single file, resulting in 1648 data points.
DOI: 10.17632/3p2w6ggbd3
title: Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete

description: The file presents data points used for training and testing ML methods of the paper "Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete", which was published in Engineering Applications of Artificial Intelligence. Please check the paper for more details of the references used to gather those data points.
DOI: 10.17632/k4snbvxz5j
title: Climate risk documents analysed for linkages with SDG Goals, Targets and Indicators

description: Data for analysis of the linkages between Sustainable Development Goals, Targets and Indicators and 8 categories of  representative key risks (RKR) related to climatic risks.
The data set comprises a listing of documents of specific risk categories for keyword extraction and text used for analysis on linkages to the Sustainable Development Goals (Table 1).
Climatic risk categories identified as risk to coastal socio-ecological systems (RKR-A), risk to terrestrial and ocean ecosystems (RKR-B), risks associated with critical physical infrastructure, networks and services (RKR-C), risk to living standards (RKR-D), risk to human health (RKR-E), risk to food security (RKR-F), risk to water security (RKR-G), and risks to peace and to human mobility (RKR-H).
The list of documents for each category of RKR (Table 2) were compiled by expert teams (Table 3).
The 3 files in this repository:
1. 'Table 1 SDG Keyword list.docx'  contains the list of keywords used for each of the SDG indicators.
2. 'Table 2 List of Documents and Text Strings.xlsx' contains the list of document 'DOI / URL', 'Reference' titles, and the text string used for analysis comprising 'Abstracts', 'Highlight/Significance etc' (from the article), 'Keywords', and 'Notes' if any entered by experts for the categories RKR-A, RKR-B, RKR-C, RKR-D, RKR-E, RKR-F, RKR-G, RKR-H. The list of experts are included in tab 'RKR Experts'
3. 'Table 3 RKR Experts.xlsx' lists the experts contributing to the compilation of literature.
DOI: 10.17632/whdfr8rgyc
title: Exploring Sentiment-Driven Stock Price Paths: Simulated Variations

description: This study delves into the dynamic nature of financial markets by simulating sentiment-driven stock price paths. A series of graphs, each representing a unique simulation, were generated through a Python-based model. These simulations aimed to capture the influence of market sentiment on stock prices and showcase the inherent unpredictability and complexity of market dynamics.

The simulations were conducted over a set number of trading days, utilizing sentiment fluctuations derived from stochastic processes. Each graph exhibits a distinct stock price trajectory, emphasizing the impact of varying sentiment levels on market behavior.
Through these visualizations, it becomes evident that sentiment-driven factors contribute significantly to the volatility and direction of stock prices. The simulations illustrate the inherent uncertainty and randomness inherent in market sentiment, displaying diverse price movements across different scenarios.

Key takeaways from the simulations include the non-linear nature of sentiment effects on stock prices, reflecting the intricate interplay between investor perceptions and market outcomes. These graphs elucidate the notion that sentiment-driven dynamics often lead to divergent and unpredictable stock price paths.

This study provides valuable insights into the significance of sentiment fluctuations in shaping market behaviours and underscores the challenges associated with predicting stock price movements solely based on sentiment analysis. The diversity among the simulated graphs highlights the need for robust risk management strategies in financial decision-making, acknowledging the ever-changing landscape influenced by sentiments in the stock market.

Overall, these visual representations offer a compelling narrative about the role of sentiment in financial markets, portraying the intricate relationship between market expectations and stock price trajectories.
DOI: 10.6084/m9.figshare.6504134.v1
title: Population structure and reproductive biology of Haemulopsis corvinaeformis (Perciformes, Haemulidae) in the south coast of Pernambuco, northeastern Brazil

description: ABSTRACT: Roughneck Grunt (Haemulopsis corvinaeformis Steindachner, 1868) is the second most important species caught as bycatch of the shrimp fishery in Pernambuco, Northeastern Brazil. However, the population dynamic of this species is poorly known in the region. The aim of this study was to describe aspects of the population structure and reproductive biology of the H. corvinaeformis, providing important information for the development of sustainable management practices. Specimens were collected monthly from August 2011 to July 2012 and quarterly from October 2012 to June 2014. A total of 1,140 individuals was collected; 340 males (29.8%), 391 females (34.3%), and 409 were immature and could not be sexed (35.9%). Total length ranged from 7 to 25 cm. In general, total length of females [12.85 ± 2.49 cm (mean± SD)] and males [12.72 ± 2.46 cm (mean ± SD)] were similar (p &gt; 0.05). The proportion of males and females was similar along the year, except in March. The relationship between total length and total weight was statistically significant (p&lt; 0.05), showing an isometric growth. The (GSI) coupled with the distribution of maturational stages suggests that females reproduce all year around, with a peak during October-November. The length at first maturity (L50) was estimated at 11.88 cm for females and 11 cm for males.
DOI: 10.6084/m9.figshare.7629344.v1
title: Appendix to network meta-analysis, Fragility Fractures

description: Appendix to Network Meta-analysis about treatments for osteoporosis in postmenopausal women.
DOI: 10.17632/4hz3wx6wm5
title: Credal Dog-7

description: Most datasets used for classification use hard labels. Credal Dog-7 was labeled uncertainly and imprecisely by contributors during crowdsourcing campaigns. Resulting in richer labels, modeled with the theory of belief funtions, which generalizes several reasoning frameworks with uncertainty. These datasets can be used with classical models using hard labels but also with probabilistic, fuzzy or even evidential models.

Dataset:
7 classes, 700 observations, 43 features (or raw pictures)

When using the dataset please cite :
A. Hoarau, C. Thierry, A. Martin, J.-C. Dubois, Y. Le Gall, "Datasets with rich labels for machine learning", in: FUZZ-IEEE, 2023.

Credal Dog-7 dataset
├── data
│ ├── classes.csv: Classes of the dataset
│ ├── X.csv: Features of the dataset
│ ├── X_512.csv: Learge 512 features vector of the dataset
│ ├── X_pictures.csv: Raw features (Pictures themselves)
│ ├── y.csv: Rich labels
│ └── y_true.csv: True labels
└── extra
 ├── y_hard.csv: Hard labels given during a new campaign
 ├── DATA_imperfect.csv: Imperfect answers given during the campaign
 ├── ITERATION_imperfect.csv: Imperfect 2nd step answers given during the campaign
 ├── EVENT_imperfect.csv: Contributors events
 ├── ID_imperfect.csv: Contributors IDs
 └── DATA_perfect.csv: Precise answers given during a new campaign

Credal Dog-4:
https://data.mendeley.com/datasets/44zpkbrpxb
Credal Dog-2:
https://data.mendeley.com/datasets/95mmjfrsyh
Credal Bird-10:
https://data.mendeley.com/datasets/9sz5vm8g7h
Credal Bird-2:
https://data.mendeley.com/datasets/v8k6c5s9cy
DOI: 10.6084/m9.figshare.12550553.v1
title: JVASP-41159 to JVASP-41791

description: JARVIS-DFT input/output files
DOI: 10.6084/m9.figshare.16944154.v1
title: SADDLE_PS1-3_Raw_NGS data

description: SADDLE NGS raw data (Miseq v2 pair-end)