cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/v3kry8gb59
title: Face Mask Detection Video Dataset

description: Face Mask detection using machine intelligence is one of the hot topic during the COVID-19 period. Variety of works are introduced to identify the policy violators in busy places however, the available image datasets are limited to build a generalized model that can be used in real-time applications with coarse-to-fine video frames. We present a real-time video/images dataset containing multiple subjects (with/without mask) walking within a University environment. Each annotated frame contains multiple instances (i.e. persons) with unique identifications, bounding boxes, and class/label information. The dataset and annotations can be used to train, validate and test the deep learning and computer vision based facial mask detection algorithms. Below are the details of dataset: Total video frames: 4357 Total bounding boxes: 21941 Boxes with Mask (MW): 8306 Boxes without Mask (NM): 13635 Image frames: This folder contains 4357 video frames (.png). Each frame contains multiple instances. Annotations: This folder contains the 4357 annotations (.xml) files for the above Image frames. Each .XML contains information about: Person ID: Unique identification for each person in a frame Bounding Box: The rectangular boundary around the person Class Names: Mask (MW), no Mask (NM) NOTE: Instances with mask and facing towards the camera are only labelled as being mask wearer (MW). All other subjects (i.e. instances) facing opposite to camera (i.e. backside towards the capturing device) are labelled as NM (i.e. without mask).
DOI: 10.6084/m9.figshare.22308499.v1
title: gene.annotation

description: gene.annotation
DOI: 10.6084/m9.figshare.24088020.v1
title: Supplement Material for: Pathogenicity of Variant m.13528A&gt;G in MT-ND5 in Leber’s Hereditary Optic Neuropathy Is Unsupported

description: With interest we read the article by Pandya et al. [<strong>1</strong>] on a 57-year-old male who was diagnosed with Leber’s hereditary optic neuropathy (LHON) due to the variant m.13528A&gt;G in <em>MT-ND5</em>. Although the patient did not receive idebenone, visual acuity improved by the 24-month follow-up [<strong>1</strong>]. The study is excellent but has limitations that are cause of concerns and should be discussed. The CARE Checklist has been completed by the authors for this report, attached as supplementary material (for all online suppl. material, see <strong>https://doi.org/10.1159/000531387</strong>).
DOI: 10.6084/m9.figshare.24204771.v1
title: Untitled Item

description: genomics data sheep nematodes
DOI: 10.6084/m9.figshare.28815254.v2
title: Generalized eigenvalue problem (A,B) forms in ocean acoustics

description: <b>Randomly generated</b>
DOI: 10.17632/c2hvz3t6t9
title: Disease Detection in Rose Leaves

description: This project focuses on developing an efficient and accurate system for detecting diseases in rose leaves. Roses are among the most cherished ornamental plants worldwide, and their health is crucial for both commercial cultivation and aesthetic value. Early identification and treatment of diseases in rose leaves can significantly reduce crop losses, improve plant health, and ensure high-quality flowers. Leveraging image processing and machine learning techniques, this project aims to classify rose leaves into different categories based on their health condition, enabling proactive disease management.

Dataset Overview: 
The dataset for this project comprises 3366 png images of rose leaves, categorized into four key classes:
Fresh Leaf (1379): Healthy, green leaves with no visible signs of disease.
Black Spot (932): Leaves exhibiting dark, circular spots caused by fungal infections.
Hole Leaf (881): Leaves with physical damage, likely due to pests or environmental factors.
Yellow Leaf (174): Leaves showing discoloration, a potential indicator of nutrient deficiencies or early disease stages.

Applications: 
Smartphone App Integration: A mobile app that allows gardeners and farmers to capture leaf images and receive instant disease diagnoses.
Precision Agriculture: Targeted application of fertilizers and pesticides based on disease detection, reducing waste and environmental impact.
Research and Extension: Assisting botanists and plant pathologists in studying disease patterns and developing effective treatments.
DOI: 10.6084/m9.figshare.14852472.v1
title: The evolution of brain neuron numbers in amniotes

description: Dataset S1 contains data on numbers of neurons and other cells in whole brain and major brain parts in 37 species of birds and 108 species of reptiles. %NeuN: percentage of NeuN positive cells in the brain parts; N/mg: number of neurons per mg of tissue; O/mg: number of non-neurons per mg of tissue; % of brain mass: percentage of the whole brain by mass; % of brain neurons: percentage of the whole brain by number of neurons; % of brain nonneuronal cells: percentage of the whole brain by number of non-neurons. Dataset S2 contains data on brain mass and body mass for 149 reptiles species.
DOI: 10.6084/m9.figshare.17088136.v1
title: Additional file 1 of Using GAM functions and Markov-Switching models in an evaluation framework to assess countries’ performance in controlling the COVID-19 pandemic

description: Additional file 1 Script1.
DOI: 10.6084/m9.figshare.6157583.v1
title: Structuring Wikipedia Articles with Section Recommendations

description: Output generated by the method described in: https://arxiv.org/abs/1804.05995<br><br>Category based recommendation using category–section counts (4.1)
DOI: 10.17632/mm8g66d7rc
title: Ripening Detection of Mango

description: This dataset was used for ripening detetion of mango into four levels of ripeness.
DOI: 10.17632/pbj9vcwhfg
title: Fluid intake and cognition

description: Relationship between fulid intake and change in cognition among old individuals in a geriatric health services facility
DOI: 10.6084/m9.figshare.17110973.v1
title: count-data-pancreas-annotated.h5ad

description: tissue-specific single-cell read count data showing the changes with parabiosis
DOI: 10.6084/m9.figshare.17430224.v1
title: Synthetic HMOs unique genes.xlsx

description: The raw datafile for significant genes identified for each of the synthetic HMOs: 2'-FL, 3'FL, 6'-SL, LNT, LNnT and their associated adjusted P-values.
DOI: 10.6084/m9.figshare.28127846.v1
title: Telomere to-telomere gapless genome assembly and annotation of <i>Triplophysa yaopeizhii</i>

description: The genus <i>Triplophysa</i> is one of the predominant fish groups on the Qinghai-Tibet Plateau (QTP). With the intensification of human impacts, the resources of <i>Triplophysa yaopeizhii</i>, which mainly distributed in the upper reaches of Jinsha River, have gradually decreased. Our study utilized PacBio HiFi, Ultra-long ONT, and Hi-C sequencing to construct the telomere-to-telomere (T2T) gapless genome assembly of <i>Triplophysa yaopeizhii</i>. This is the first T2T genome assembly of the genus <i>Triplophysa</i>. The high-quality genome serves as an essential reference for elucidating the adaptive genetic mechanisms of plateau fish to the unique high-altitude.
DOI: 10.6084/m9.figshare.28889801.v1
title: Supplementary Material for: Development and Validation of the BQQ Questionnaire for Assessing Bronchoscopists’ Perception of Single-use Flexible Bronchoscope Quality

description: Background: The risk of cross-infections (including SARS-Cov-2) and damage to the flexible bronchoscope has led to the development of single-use flexible bronchoscopes as a cost-effective alternative. It is necessary for the bronchoscopist to evaluate the perception of the quality of these devices to determine if their quality is satisfactory for the user.
Objective: Construction and validation of a Bronchoscope Quality Questionnaire (BQQ) to evaluate the quality of the flexible bronchoscope perceived by the bronchoscopist.
Methods: We conducted a cross-sectional study in 21 pulmonology centres in Spain. A first version of the BQQ was carried out by a group of experts, the construct validity was evaluated, and a factor analysis reduced the number of items. Feasibility of the BQQ was assessed by a questionnaire, internal consistency by the Cronbach's alpha coefficient and intra- and interrater reliability by the intraclass correlation coefficient (ICC).
Results: The final version of the BQQ was composed of six domains and 18 items. The median completion time was five minutes, and it was not difficult to understand the items. Cronbach's alpha was 0.89, the intrarater ICC was 0.70 (95% CI 0.56 to 0.79), and the interrater ICC was 0.64 (95% CI: 0.47 to 0.76).
Conclusion: The BQQ showed good feasibility, internal consistency and intra- and interrater reliability, which makes it suitable for evaluating the quality of flexible bronchoscopes perceived by the bronchoscopist.
DOI: 10.6084/m9.figshare.8014973.v1
title: Patient 1 CT

description: CTs and MRIs were both acquired under radiotherapy immobilization protocols with patients in the treatment position.<br>CT scans were acquired on one of four machine models (LightSpeed RT16, GE Medical Systems, Waukesha, WI, USA; Brilliance 64 or Brilliance Big Bore, Philips Healthcare, Cambridge, MA, USA; SOMATOM Definition Edge, Siemens, Washington D.C., USA) using x-ray tube currents between 208 – 434 mA at 120 kVp. All scans have slice thicknesses of either 2.5 or 3 mm, with 2.5 or 3 mm of space between slices. Sections are displayed in 512 x 512 pixel matrices and were reconstructed in diameters between 500 – 600 mm. <br>MRI scans were acquired in one of two machine models (Discovery MR750, GE Medical Systems, Waukesha, WI, USA; Ingenia, Philips Healthcare, Cambridge, MA, USA) in 3 Tesla magnetic fields with echo times between 97.72 – 101.82 milliseconds. All scans have slice thicknesses of 2.5 mm, with 2.5 or 4 mm of space between slices. Sections are displayed in 512 x 512 pixel matrices and were reconstructed in 256 mm diameters.
DOI: 10.17632/nvfjt4jk2n
title: Supplementary material for the study Validity based on internal structure, convergent validity and reliability of the Emotional Dependency Inventory (IDE) in young adults

description: This material contains the database used in the study as well as the content of the items of the test used to measure the emotional dependency of the couple, within the framework of the study "Validity based on internal structure, convergent validity and reliability of the Emotional Dependency Inventory (IDE) in young adults"
DOI: 10.6084/m9.figshare.25592466.v1
title: Regular coffee has almost the same effect as decaf on habitual coffee drinkers - data and code

description: This dataset contains all code and raw data for analysis of in the paper "Regular coffee has almost the same effect as decaf on habitual coffee drinkers".Some files are provided outside the main folders due to uploading issues to FigShare.
DOI: 10.6084/m9.figshare.28615331.v1
title: Supplementary Material: Consolidated Criteria for Reporting Qualitative Research (COREQ) – A 32-Item Checklist for Interviews and Focus Groups

description: This document presents the <b>Consolidated Criteria for Reporting Qualitative Research (COREQ)</b>, a <b>32-item checklist</b> designed to enhance transparency and rigor in qualitative studies, particularly those involving <b>interviews and focus groups</b>. The checklist is structured into three key domains:1) Research Team and Reflexivity 2) Study Design 3)Analysis and Findings.
DOI: 10.6084/m9.figshare.29043059.v1
title: Fig.xlsx

description: This is a radio frequency identification (RFID) reader with sensor capabilities. The RFID reader consists of an IMPINJ RFID reader and a vibration sensor. The vibration sensor detects physical vibrations and activates the IMPINJ RFID reader. Before vibrations occur, the RFID reader is in sleep mode; not emitting radio waves or performing read functions. Once the vibration sensor detects shock/vibration, the IMPINJ RFID reader switches to active mode and begins a read operation. The active mode of the vibration-sensitive IMPINJ RFID reader is activated only when vibrations occur.
DOI: 10.6084/m9.figshare.22046783.v2
title: Repository.xlsx

description: · A total of 451 suspicious papers that are potentially linked to the Russia-based paper mill "International Publisher" LLC were identified.
DOI: 10.6084/m9.figshare.24131367.v1
title: Dataset of article: "<i>Movement behaviour typologies and their associations with adiposity in children and adolescents: A latent profile analysis of 24-h compositional data</i>"

description: The original study is published in TBA.
DOI: 10.6084/m9.figshare.26488216.v1
title: Pre-VFall: Vision Sensor Simulated Early Signs of Fall Dataset

description: The Pre-VFall dataset is a multimodal dataset. It includes images, keygradient vector magnitude features, and keygradient vector direction features available to researchers for advancing the robustness of fall detection systems. The dataset is intended for use by the machine learning community to identify pattern cues that signal the onset of falls. The dataset provides new insights into how frailty states in older adults may serve as precursors to fall incidents. This will help improve the robustness of fall detection systems, ensuring they can effectively account for irregularities in movement and behavior that indicate early signs of fall. The dataset consists of around 22K images selected from recorded videos of nine healthy young adult participants. Each participant's videos and corresponding images are organized in folders named after each video session as follows: confusion_delirium, confusion_nph, dizzy_fall_forward, dizzy_fall_side, weakness_fall_forward, and weakness_fall_side. It should be noted that weakness and dizziness sessions were succeeded by falls and so included fall in their labels. The terms “forward” and “side” in some labels indicate the direction of fall. Each folder contains videos recorded with RGB cameras positioned at 90° and 45° with forward-view and side-view cameras included to identify the angle of the camera. The frames of the videos were manually selected and sorted into their respective categories. For example, the pre-fall activities such as weakness, dizziness, delirium-confusion, and NPH-confusion were categorized as “Abnormal,” while states of falling and actual falls were categorized as “Fall.” Therefore, this dataset encompasses three activity classes: normal, abnormal, and fall.
DOI: 10.6084/m9.figshare.27969864.v2
title: Evaluating the potential of YouTube in disseminating biodiversity-related information from Africa

description: YouTube (YT), an online video content application, has revolutionized the dissemination of 10 information in various fields, including medicine, entertainment, and conservation science. Its 11 potential in disseminating information regarding biodiversity conservation has not been well 12 evaluated, especially in Africa, which is generally a biodiversity hotspot. If conducted, it’s usually 13 species-specific, activity-based, or localized and, therefore, cannot be generalized. We evaluated 14 the reach of the videos posted from Africa across different organism groups, countries (geopolitical 15 units), geographical regions, ecoregions, and channels (content creators). We retrieved 432 videos, 16 which collectively garnered 35,972,748 views, 416700 likes, and 52864 comments across 274 17 channels, five regions, and 31 African countries. The mean views per day varied significantly 18 across regions, organism groups, and channels. Notably, more views per day were from 19 biodiversity-rich countries, namely the Democratic Republic of Congo and Madagascar. Most 20 videos were posted from South Africa, mainly about the effects of pollution on humans.Government and academic institutions posted fewer videos than individually owned and 22 international biodiversity-related non-governmental organization channels. Also, most channels 23 posting about African biodiversity are based in the USA. Increased attention to biodiversity will 24 possibly stimulate external funding and international collaborations. We observed a great need for 25 increased participation, mostly by government institutions, to effectively adopt a strong social 26 media strategy to communicate information about biodiversity conservation, mainly to the 27 emerging young population
DOI: 10.6084/m9.figshare.28927493.v1
title: Kuesioner Penelitian tentang Optimalisasi Peran Tim Pendamping Keluarga dalam Pencegahan Penurunan Stunting

description: Kuesioner ini disusun sebagai bagian dari penelitian yang dilakukan oleh tim dari Poltekkes Kemenkes Palu yang bertujuan untuk mengidentifikasi dan mengoptimalkan peran <b>Tim Pendamping Keluarga (TPK)</b> dalam upaya <b>pencegahan dan penurunan angka stunting</b> di Kabupaten Sigi. Kuesioner ini bersifat <b>kuantitatif-deskriptif</b> dengan beberapa pertanyaan terbuka yang bertujuan menggali saran dan masukan dari kader. Hasil dari kuesioner ini akan digunakan untuk mengevaluasi pelaksanaan program serta memberikan rekomendasi penguatan kapasitas kader dan sistem dukungan untuk menekan angka stunting di wilayah studi.
DOI: 10.6084/m9.figshare.1492403.v1
title: User's guid for Matlab code of cFRAP

description: In this guide it is explained how to use the custom written Matlab code for analysis of FRAP recovery images and to obtain the diffusion coefficient or size distributions. The user’s guide includes the following sections: description of the structure of the main code, the procedure for adding the cFRAP code to the Matlab program, examples on simulated and experimental FRAP images.
DOI: 10.6084/m9.figshare.28784807.v1
title: Supplementary Material_Lacerda et al. The Antarctic Plastisphere

description: Here we provide a comprehensive molecular survey of both prokaryotic and eukaryotic diversity on floating plastics around the Antarctic Peninsula.
DOI: 10.6084/m9.figshare.12855080.v1
title: Metafusion reference files

description: Reference files for running MetaFusion
DOI: 10.17632/84r33br7vm
title: Neutrophil to lymphocyte ratio and antidepressant treatment response in patients with major depressive disorder: Effect of sex and hippocampal volume

description: Several factors may affect response to treatment in Major Depressive Disorder (MDD) including immune/inflammatory alterations and regional brain volumes, particularly in hippocampal regions which have shown to be influenced by inflammatory status. Neutrophil-to-lymphocyte ratio (NLR) is an inflammatory marker found to be elevated in depressed women in large population studies. Here we investigate the effect of NLR on treatment response in MDD patients, and the role of sex and hippocampal volume on influencing this relationship. A sample of 124 MDD depressed inpatients (F = 80) underwent MRI acquisition, admission NLR was calculated by dividing absolute neutrophil by absolute lymphocyte counts and depression severity was assessed at admission and discharge via the Hamilton Depression Rating Scale (HDRS). As a measure of treatment response, delta HDRS was calculated. We found a significant moderation effect of sex on the relationship between NLR and Delta HDRS: a negative relation was found in females and a positive one in males. NLR was found to negatively affect hippocampal volumes in females. Both left and right hippocampal volume positively associated with Delta HDRS. Finally, left hippocampal volume mediated the effect of NLR on Delta HDRS in females. Sex moderated the relation between inflammation and treatment response in line with previous reports linking inflammation to hampered antidepressant effect in females. Further, this effect is partially mediated by hippocampal volume, suggesting that antidepressant response may be hampered by the detrimental effect of inflammation on the brain.
DOI: 10.6084/m9.figshare.19782541.v1
title: GSE111672

description: 11 primary pancreatic cancer tissue samples sequenced from 6 patients.
DOI: 10.6084/m9.figshare.20069870.v1
title: Python.zip

description: It is used in the "Computational experiments" section in our manuscript, to compare the performance of our alfgorithm and existed algorirhms. All algorithms are coded in python, and the datasets consist of a real dataset and ten datasets generated randomly.
DOI: 10.6084/m9.figshare.28981463.v1
title: Data and analyses to test population performance and resilience in polychaetes as environmental indicators of estuarine ecosystems

description: Life history frameworks have been widely applied to gain insights into population responses to environmental change. Polychaetes, despite serving as crucial indicators of environmental change, have not yet been integrated into life history frameworks. This integration is urgent, as many polychaetes exhibit similar traits but vastly different abundances, complicating the development of robust, trait-based predictions. Here we present a computational analysis of polychaete life history strategies in estuarine ecosystems. By examining seven polychaetes - <i>Pygospio elegans, Axiothella serrata, Ophryotrocha labronica, Streblospio benedicti, Dinophilus gyrociliatus, Boccardia proboscidea</i>, and <i>Polydora cornuta</i> - we aim to elucidate how different life history strategies of morphologically similar species influence population performance and demographic resilience to disturbances. We explore how individual development and life history traits shape population-level outcomes to identify which demographic rates are key to polychaete performance and resilience. By highlighting polychaetes' adaptability and their role as indicators of environmental change, this chapter underscores their significance in research on estuarine acidification, pollution, and climate change. Our approach aims to provide valuable insights for scientists, policymakers and conservationists, advocating for sustainable practices to preserve estuarine biodiversity.
DOI: 10.17632/8wc9jtndf6
title: "Smart Bin Insights: Data Set for Unveiling Waste Management Trends"

description: This paper introduces the "Smart Bin Waste Prediction" system, which forecasts trash bin fill levels. By harnessing sensor data and historical trends, the system employs advanced machine learning techniques to enhance waste collection schedules. A comprehensive comparison of regression and classification algorithms is undertaken to attain optimal outcome
DOI: 10.17632/c7cpnw32j6
title: Data for: Computer Vision-based Concrete Crack Detection using U-Net Fully Convolutional Networks

description: The three subdirectories under the ./code/data/ directory respectively store the train set data, the verification set data, and the test set data. The ./code/cnn_with_slide_window/ directory stores the code for Cha’s CNN. cleandata.ipynb preprocesses the data and stores it in the ./data/ directory. The ./logs/ and ./trained_models/ directory store the training process log and the trained model. dataset.py is the I/O related code. Myutils.py is the tool class code. model.py defines the network structure. train.py is the training code and predict.py is the prediction code. The ./code/cunet/ directory stores U-Net implementation code. Dice_coeff_loos.py, focalloss.py and lovasz_losses.py are the user defined loss functions. The functions of other files in ./code/cunet/ are similar to the of files with the same name in ./code/cnn_with_slide_window/. Environment is Python 3.6 and Pytorch 1.0 (&gt; 0.4). Display memory requirement is 5000MB. Recommended minimum hardware is GTX1060 6GB.