cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3f97yrcv6y
title: BMI in orthodontics

description: We studied the changes in Body mass index during  the first year of orthodontic treatment. we recorded and analyzed the BMI of participants from T0 to T5 over 12 months during orthodontic treatment. The data collected were height in centimeters to the nearest 0.5 cm, measured with an audiometer (Seca 217, CA 91710, Chino, USA), and weight in kilograms to the nearest 0.5 kg, measured with a weighing machine (Seca 813, CA 91710, Chino, USA).  Repeated measures ANOVA followed by Tukey's HSD post-hoc test was used to assess the significant differences at the indicated time intervals (T0, T1, T2, T3, T4, and T5). T0, T1, T2, T3, T4, and T5 indicate the start, and the end of the first, second, third, sixth, and twelfth months, respectively. 
results:BMI gradually decreased in females from T0 to T4 and increased from T4 to T5. BMI in males did not differ drastically from T0 and returned to the initial values at the end of study period. BMI changes in males were minimal, and no significant changes were observed from T0 to T4 and T5,.The changes in BMI were relatively greater in females. Females showed a sharp dip in the graph, whereas males showed gradual changes. However, both values returned closer to their initial values at the end of the study period. conclusion: Hence, changes in BMI during orthodontic treatment can be considered temporary and to have no significant overall impact at the end of 1 year.
DOI: 10.17632/45dbc44c6j
title: NEL_Catena_stocks_Jan2025

description: Data not included in supplementary material for termite mound carbon stocks calculations and radiocarbon raw data.
DOI: 10.6084/m9.figshare.1597720.v1
title: Codebook - Improving the Network Scale-Up Estimator: Incorporating Means of Sums, Recursive Back Estimation, and Sampling Weights

description: Codebook for the MoS datafile and PLOS ONE paper Improving the Network Scale-Up Estimator: Incorporating Means of Sums, Recursive Back Estimation, and Sampling Weights.
DOI: 10.6084/m9.figshare.5120884.v1
title: Supplementary Material for: Novel Hepatitis B Virus Subgenotype in the Southern Yunnan Province of China

description: Hepatitis B virus (HBV) infection is highly prevalent in China. To identify the genotypes of HBV in the southern Yunnan Province of China, full-length HBV genomes were extracted from 1 Dai and 4 Hani HBV carriers and linked with the pMD T-18 vector. For each patient, 3–10 clones were sequenced directly and a consensus sequence was created. Genotypic and serotypic analysis revealed 4 HBV/B (2 B2 with adw2 and 2 new subgenotypes with ayw1) and 1 HBV/C (C1 with adrq+) genotypes. The divergences of the entire genome sequences of the new subgenotype were 0–0.9% and 2.99–6.48% between other known HBV/B. Divergences in other coding regions revealed that it was more similar to B3 and B4 in the precore/core gene (2.02 and 2.09%, respectively), and similar to B3 and B5 in the preS1/S2/S gene (2.24 and 2.78%, respectively). Phylogenetic trees using the precore/core and X genes both revealed a new clad separating from the major trunk of genotype B with a 99% bootstrap value. These results show that the 2 consensus isolates are a mosaic of B3–B5, which we designated to subgenotype B6. Considering the geographical distances, the relationship between B6 and other HBV/B subgenotypes (B3–B5) and HBV evolution needs to be further studied.
DOI: 10.6084/m9.figshare.5919241.v3
title: Online scheduling of task graphs on hybrid platforms

description: Code used to simulate a hybrid computing platform (CPUs + GPUs) to test several online algorithms (that discover the task graph as it is unveiled) and to compare them to the classical HEFT offline scheduler.<br>
DOI: 10.17632/4bk37hy3r3
title: iScience 2023, Xu et al.

description: The dataset and codes were used in iScience manuscript "BGN regulated colorectal cancer progress by partially modulating enteric neuron-derived IL-10 and abundance of Bacteroides thetaiotaomicron".
DOI: 10.17632/pc4mb3h8hz
title: Multi-Label Retinal Diseases (MuReD) Dataset

description: Abstract:
Early detection of retinal diseases is one of the most important means of preventing partial or permanent blindness in patients. One of the major stumbling blocks for manual retinal examination is the lack of a sufficient number of qualified medical personnel per capita to diagnose diseases. Computer-aided diagnosis systems (CAD) have proven to be very effective in helping physicians reduce the time taken to make a diagnosis and minimize variability in image interpretation. Still, they are not flexible enough to accommodate the simultaneous presence of multiple retinal diseases, which is a common situation in real-world applications. In the past years, few datasets that focus on the classification of numerous retinal pathologies present at the same time, i.e., multi-label classification have been proposed, but there are some shared problems with all of them, such as a narrow range of pathologies to classify, high level of class imbalance, low amount of samples for the underrepresented labels, no assurance in image quality, among others. All these problems hinder the performance of any model trained with these datasets, which leads to poor robustness, lack of generalization, and reduced trustability in its predictions.
To address these problems, we constructed the Multi-Label Retinal Diseases (MuReD) dataset, using images collected from three different state-of-the-art sources, i.e., ARIA, STARE, and RFMiD datasets, and performing a sequence of post-processing steps to ensure the quality of the images, a wide range of diseases to classify, and a sufficient number of samples per disease label.
The MuReD dataset consists of 2208 images with 20 different labels, with varying image quality and resolution. At the same time, ensuring a minimal degree of quality in the data, with a sufficient number of samples per label. To the best of our knowledge, the MuReD dataset, is the only publicly available dataset that applies a sequence of post-processing steps to ensure the quality of the images, the variety of pathologies, and the number of samples per label, resulting in increased data quality and a significant reduction of the class imbalance present in the publicly available datasets.
It is envisaged that the MuReD dataset will enable the creation of more robust, general, and trustable models for the automatic detection and classification of retinal diseases.

Files Description:
1. The file "train_data.csv" contains the images from the training set, along with the 20 different labels.
2. The file "val_data.csv" contains the images from the validation set, along with the 20 different labels.
3. The folder "images" contains all the images that compose the MuReD dataset.

The images come in two different formats, i.e., .tiff and .png.
There is no single image resolution. Given that the images come from different sources, resolution can vary from 520x520 to 3400x2800 depending on the source of the image.
DOI: 10.6084/m9.figshare.1446055.v1
title: US Airport Delays

description: This dataset contains various metrics about 40 airports of the United State of America captured from realtime data. It includes airport delays and delay reasons as well as information about airport closure and reopening events. In addition, this dataset provides influence factors such as weather conditions, visibilty information, wind speed/direction and temperature. The dataset includes the following airports given by their IATA code: ATL, BNA, BOS, BWI, CLE, CLT, CVG, DCA, DEN, DFW, DTW, EWR, FLL, IAD, IAH, IND, JFK, LAS, LAX, LGA, MCI, MCO, MDW, MEM, MIA, MSP, ORD, PDX, PHL, PHX, PIT, RDU, SAN, SEA, SFO, SJC, SLC, STL, TEB, TPA. The data was collected from 2015-06-03 until 2015-06-10, every 15 minutes and for each of the airport above defined, by using REST API (http://services.faa.gov/airport/status) provided by the Federal Aviation Administration. API Documentation can be found at: http://services.faa.gov/ MD5 Checksum: 9aee3d984bf25f8867db3ac900442126
DOI: 10.6084/m9.figshare.19544410.v2
title: The Heath Gym Synthetic HIV Dataset

description: ###===###<br> IMPORTANT NOTE:<br> Dear viewers, please consider Version 2.0 of our synthetic ART for HIV dataset. Kuo, Nicholas (2023). The Health Gym v2.0 Synthetic Antiretroviral Therapy (ART) for HIV Dataset. figshare. Dataset. https://doi.org/10.6084/m9.figshare.22827878.v1 The latest version is much more realistic than this current version.<br> Interested viewers may also refer to our preprint for further details. Kuo, Nicholas I., Louisa Jorm, and Sebastiano Barbieri. "Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV." arXiv preprint arXiv:2208.08655 (2022). ###===###<br> This dataset was generated using the Health Gym generative adversarial network (GAN).<br> The dataset contains viral loads, CD4 counts, and drug regimen information for 8,916 patients with HIV. The dataset is stored in CSV format. Please consult our archived paper for more details:<br> Kuo et al. (2022).<br> The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms. <em>arXiv preprint arXiv:2203.06369</em>. ###===###<br> 1) Refer to page 3 for the full description of the dataset.<br> 2) Refer to page 13 for the descriptive statistics.<br> 3) Refer to pages 25-28 for the quality assessment.<br> 4) Refer to page 9 for the patient re-identification risk.<br> 5) Refer to pages 4, 5, and 14 on our novel generative adversarial network for generting this synthetic dataset.<br> 6) Also refer to our website: www.healthgym.ai for an overview of the project.<br> ###===###<br> Edited: 12th-July-2023<br> Date of 2-edits ago: 8th-April-2022
DOI: 10.6084/m9.figshare.22807088.v1
title: Untitled Item

description: We assessed the bud banks, tiller density and their ratios across four years drought and two years recovery in four grasslands of northern China.
DOI: 10.6084/m9.figshare.28728926.v1
title: <b>Regulation of Perinatal Estrogen Levels on Primordial Follicle Formation and Activation in Mouse</b>

description: Supplementary material for the manuscript E-00026-2025R2
DOI: 10.25440/smu.12062703.v1
title: BuzzCity mobile advertisement dataset

description: This competition involves advertisement data provided by BuzzCity Pte. Ltd. BuzzCity is a global mobile advertising network that has millions of consumers around the world on mobile phones and devices. In Q1 2012, over 45 billion ad banners were delivered across the BuzzCity network consisting of more than 10,000 publisher sites which reach an average of over 300 million unique users per month. The number of smartphones active on the network has also grown significantly. Smartphones now account for more than 32% phones that are served advertisements across the BuzzCity network. The "raw" data used in this competition has two types: publisher database and click database, both provided in CSV format. The publisher database records the publisher's (aka partner's) profile and comprises several fields: publisherid - Unique identifier of a publisher. Bankaccount - Bank account associated with a publisher (may be empty) address - Mailing address of a publisher (obfuscated; may be empty) status - Label of a publisher, which can be the following: "OK" - Publishers whom BuzzCity deems as having healthy traffic (or those who slipped their detection mechanisms) "Observation" - Publishers who may have just started their traffic or their traffic statistics deviates from system wide average. BuzzCity does not have any conclusive stand with these publishers yet "Fraud" - Publishers who are deemed as fraudulent with clear proof. Buzzcity suspends their accounts and their earnings will not be paid On the other hand, the click database records the click traffics and has several fields: id - Unique identifier of a particular click numericip - Public IP address of a clicker/visitor deviceua - Phone model used by a clicker/visitor publisherid - Unique identifier of a publisher adscampaignid - Unique identifier of a given advertisement campaign usercountry - Country from which the surfer is clicktime - Timestamp of a given click (in YYYY-MM-DD format) publisherchannel - Publisher's channel type, which can be the following: ad - Adult sites co - Community es - Entertainment and lifestyle gd - Glamour and dating in - Information mc - Mobile content pp - Premium portal se - Search, portal, services referredurl - URL where the ad banners were clicked (obfuscated; may be empty). More details about the HTTP Referer protocol can be found in this article. Related Publication: R. J. Oentaryo, E.-P. Lim, M. Finegold, D. Lo, F.-D. Zhu, C. Phua, E.-Y. Cheu, G.-E. Yap, K. Sim, M. N. Nguyen, K. Perera, B. Neupane, M. Faisal, Z.-Y. Aung, W. L. Woon, W. Chen, D. Patel, and D. Berrar. (2014).<em> </em>Detecting click fraud in online advertising: A data mining approach,<em> Journal of Machine Learning Research, 15, </em>99-140.
DOI: 10.6084/m9.figshare.1591481.v1
title: Techniques Lab Animals : Birds, Abundance and Diversity

description: We as a group of four students conducted an experiment on the abundance and diversity of bird species and count the number of birds in different areas of natural and urban areas. We used binoculars, transects and dichotomous keys to study the number of different bird species found in every location. We used transects to measure the distance of the areas where the birds were found. About 8 transects were used at a particular date of October 13 and about 10 transects were used on October 20th, 2015 in both areas of urbanised and Natural areas of Woodlot and Grassland. Transects were placed in different areas of Urbanised and Grassland habitats of York University. Each transect was observed at a 120 metre distance. The number of bird species found on every transect were observed by binoculars or human eye. Later, the birds found were looked into the dichotomous key and correct species were noted. We also observed whether food, garbage or people affect the abundance of bird species in urbanised areas whether greater abundance is due to all these aspects, or birds are less adapted to people in urbanised areas and have lesser abundance in urbanised areas.
DOI: 10.6084/m9.figshare.28014650.v1
title: Data in VCF format for single nucleotide polymorphisms (SNPs) of <i>Haplocladium microphyllum </i>populations

description: Data in VCF format for single nucleotide polymorphisms (SNPs) of <i>Haplocladium microphyllum </i>populations
DOI: 10.6084/m9.figshare.28807169.v3
title: Systematic Mapping Study on Serious and Educational Digital Games for the Prevention, Awareness, and Combating of Sexual Violence

description: Systematic Mapping Study on Serious and Educational Digital Games for the Prevention, Awareness, and Combating of Sexual Violence
DOI: 10.6084/m9.figshare.4239500.v1
title: Supplementary Material for: Cotton Wool Spots after Anti-Vascular Endothelial Growth Factor Therapy for Macular Edema Associated with Central Retinal Vein Occlusion

description: <b><i>Purpose:</i></b> To report a case series, whereby we encountered a transient increase in retinal cotton wool spots (CWS) following anti-vascular endothelial growth factor (anti-VEGF) therapy for the treatment of macular edema secondary to central retinal vein occlusion (CRVO). <b><i>Methods:</i></b> Eighteen eyes were treated with intravitreal aflibercept (IVA), and 5 were treated with intravitreal ranibizumab (IVR). Fundus photographs obtained 1 month after initial IVA or IVR injections were retrospectively evaluated for the presence of CWS. <b><i>Results:</i></b> Twenty-one (91.3%) patients had the following systemic diseases: hypertension, diabetes mellitus without retinopathy, dyslipidemia, or chronic renal failure requiring dialysis. One month after treatment, reduced macular edema was observed in 21 (91.3%) eyes. Initial injections facilitated complete resolution in 14 eyes, and CWS gradually became fainter with additional injections. <b><i>Conclusion:</i></b> Some eyes with CRVO-related macular edema can show a transient increase in CWS after initial anti-VEGF therapy; however, macular edema, retinal hemorrhage, and visual acuity were improved in almost every case.
DOI: 10.6084/m9.figshare.6715169.v1
title: TLR2-FcgR Synergy

description: Data supporting PLoS ONE manuscript on TLR2-FcgR synergy<br>
DOI: 10.17632/jj3hp2c455
title: Data for: Disparity in conference registration cost for delegates from low- and middle-income backgrounds

description: The data supplement provides detailed data from the study
DOI: 10.17632/ndcndtstcf
title: Dataset on airflow resistance of wings from owls and non-silently flying birds

description: The dataset contains measured airflow resistance values from prepared wings of owls and other, non-silently flying birds. It consists of a comma-separated values (CSV) file named "dataset_wingpermeability.csv" that contains 149 rows and six columns. The first row contains the header and the remaining 148 rows contain the raw data. The first column specifies the species (e.g. Barn owl, Tawny owl, Long-eared owl, Common buzzard, Eurasian sparrowhawk or Common pigeon) as a string format. The second column specifies the corresponding binomial name (e.g. Tyto alba, Strix aluco, Asio Otus, Buteo buteo, Accipiter nisus or Columba livia) as a string format. The third column contains the number of the wing, which have simply been numbered consecutively from 1 to 39 as integer data type. The fourth column specifies whether it is a left wing or a right wing, again as a string value. The next column contains the measurement position on the wing, which have been numbered from 1 to 4 as integers. The final column then contains the measured flow resistance R in Pa s/m³ as floating point values. The csv-file uses Unicode (UTF-8) character encoding and the fields are separated by commas.

The corresponding figure is a Portable Document Format (PDF) file named "wingpermeability_boxplot.pdf". It shows the measured air flow resistances contained in the dataset as a box plot. It can be seen that, on average, the airflow resistance of the owl wings is significantly lower than that of the wings of the non-silently flying birds.

A third figure ("measurement_positions.pdf") shows a photograph of one of the Barn Owl wings as an example, indicating the four the measurement positions on the pressure side of the wing.
DOI: 10.17632/zwd3hgr6gg
title: MATLAB source code for automated measurement of anteroposterior diameter and foraminal widths in MRI images for lumbar spinal stenosis diagnosis (PLoS ONE 2020)

description: Lumbar Spinal Stenosis causes low back pain through pressures exerted on the spinal nerves. This can be verified by measuring the anteroposterior diameter and foraminal widths of the patient’s lumbar spine. Our goal is to develop a novel strategy for assessing the extent of Lumbar Spinal Stenosis by automatically calculating these distances from the patient’s lumbar spine MRI. Our method starts with a semantic segmentation of T1- and T2-weighted composite axial MRI images using SegNet that partitions the image into six regions of interest. They consist of three main regions-of-interest, namely the Intervertebral Disc, Posterior Element, and Thecal Sac, and three auxiliary regions-of-interest that includes the Area between Anterior and Posterior elements. A novel contour evolution algorithm is then applied to improve the accuracy of the segmentation results along important region boundaries. Nine anatomical landmarks on the image are located by delineating the region boundaries found in the segmented image before the anteroposterior diameter and foraminal widths can be measured. The performance of the proposed algorithm was evaluated through a set of experiments on the Lumbar Spine MRI dataset containing MRI studies of 515 patients. These experiments compare the performance of our contour evolution algorithm with the Geodesic Active Contour and Chan-Vese methods over 22 different setups. We found that our method works best when our contour evolution algorithm is applied to improve the accuracy of both the label images used to train the SegNet model and the automatically segmented image. The average error of the calculated right and left foraminal distances relative to their expert-measured distances are 0.28 mm (p = 0.92) and 0.29 mm (p = 0.97), respectively. The average error of the calculated anteroposterior diameter relative to their expert-measured diameter is 0.90 mm (p = 0.92). The method also achieves 96.7% agreement with an expert opinion on determining the severity of the Intervertebral Disc herniations. This data consists of the MATLAB source code, improved label images, and composite images used in the experiment. Additional datasets and source code are necessary: - The Lumbar Spine MRI Dataset http://dx.doi.org/10.17632/k57fr854j2.2 - The Radiologists Notes for Lumbar Spine MRI Dataset http://dx.doi.org/10.17632/s6bgczr8s2.2 - The MATLAB source code for developing Ground Truth Dataset, Semantic Segmentation, and Evaluation for the Lumbar Spine MRI Dataset http://dx.doi.org/10.17632/8cp2cp7km8.2 - The original (unmodified) Label Image Data for Lumbar Spine MRI Dataset http://dx.doi.org/10.17632/zbf6b4pttk.2
DOI: 10.6084/m9.figshare.24190023.v2
title: <i>Silybum marianum </i>genome assembly and annotation

description: <b>Assembly</b>Smar.EM05.v1.genome.fa.gz: <i>S. </i><i>marianum</i> genome assembly (with scaffolds)Smar.EM05.v1.genome.scaffold_removed.fa.gz<i>: </i><i>S. </i><i>marianum</i> genome assembly (without scaffolds)<b>Annotation</b>Smar.EM05.v1.gene_models.gff.gz<i>: </i><i>S. </i><i>marianum</i> gene annotationSmar.EM05.v1.TE_models.gff.gz<i>: </i><i>S. </i><i>marianum</i> TE annotationSmar.EM05.v1.cds.fa.gz<i>: </i><i>S. </i><i>marianum</i> coding sequenceSmar.EM05.v1.protein.fa.gz<i>: </i><i>S. </i><i>marianum</i><i> </i>protein sequence<b>etc</b>Smar.EM05.v1.embryophyta_odb10.BUSCO.txt: BUSCO assessment result of <i>S.mar</i> assemblySmar.EM05.v1.gene_models.embryophyta_odb10.BUSCO.txt: BUSCO assessment result of <i>S.mar</i> annotationSmar.EM05.v1.Smar_vs_8species.Orthogroups.txt: List of orthologous gene pairs between <i>S. marianum</i> and eight species
DOI: 10.6084/m9.figshare.3552261.v1
title: Full Archive

description: Full Archive
DOI: 10.6084/m9.figshare.4216809.v1
title: Source files figures Hoekzema et al.

description: Source files for the figures of Hoekzema et al.<br>