cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28886780.v1
title: Manuscript.docx

description: In recent decades, 3D printing significantly impacted dentistry by improving clinician’s skills through realistic training and advanced surgical planning. Integrating 3D printing, CAD-CAM, intra-oral scanning and CBCT data has transformative potential; creating intricate structures for research, treatment planning, training, and instruction.3D printing and digital dentistry revolutionised dental precision, reducing clinical equipment and chair side time. This extends to complex craniofacial operations, where surgical guides and 3D-printed models enhance accuracy, reduce invasiveness, and improve predictability.Challenges in widespread adoption include a scarcity of trained operators, higher expenses, limited materials, post-processing needs, maintenance, and safety regulations. Ongoing development signal a substantial transformation in dentistry.Unlocking this advancement requires imperative research, especially in regions like India to enhance patient health and wellness through comprehensive approaches to harness the benefits of 3D printing and digital dentistry.The current review focuses on the various applications of 3D printing in the field of pediatric dentistry emphasising on the possibility of adapting digital dentistry in the field.
DOI: 10.6084/m9.figshare.7244942.v1
title: Exponential Fed-Batch Cultures of Klebsiella pneumoniae under Anaerobiosis Using Raw Glycerol as a Substrate to Obtain Value-Added Bioproducts

description: In this study, Klebsiella pneumoniae BLh-1 was grown under exponential fed-batch mode in cultures using raw glycerol from biodiesel synthesis under anaerobiosis to produce value-added products. Specific growth rates of 0.035, 0.07, and 0.105 h-1 were tested and 1,3-propanediol (1,3-PDO) and ethanol were produced in all cultures, whereas the formation of 2,3-butanediol was not observed. The highest concentrations of 1,3-PDO (38.5 g L-1) and ethanol (13.2 g L-1) were achieved under the specific growth rate of 0.105 h-1. Acetic and lactic acids were also produced at high concentrations (17.3 and 7.8 g L-1, respectively) under these conditions. The yields of 1,3-PDO and ethanol increased over time, reaching final values of 0.56 and 0.19 g g-1, respectively. Overall productivities were 1.43 g L-1 h-1 for 1,3-PDO and 0.49 g L-1 h-1 for ethanol. Compared to batch results, fed-batch operation favored K. pneumoniae metabolism towards the production of 1,3-PDO and ethanol, being an interesting process to add value to the ever-growing availability of raw glycerol from biodiesel industry.
DOI: 10.17632/nn57h27km4
title: Data for: Influence of Gd on the Microstructure, Mechanical and Shape Memory properties of Cu-Al-Be Polycrystalline shape memory alloy

description: The attached data repository includes Microstructure, SEM images, Tensile Test, XRD, and DSC data of Cu-Al-Be-Gd Shape Memory alloy
DOI: 10.6084/m9.figshare.1140328.v1
title: Models 360 dataset

description: This the molecular dataset in JSON format of the Models360 web resource (http://www.chemeddl.org/resources/models360). Models 360 enables users to investigate a collection of 3-D interactive models of organic and inorganic compounds, including extended-structure solids. Users can manipulate the models to examine structure and bonding and demonstrate molecular geometries, vibrations, symmetry, and orbitals. This resource has been built specifically to meet the needs of educators. The molecules and structures shown have been vetted as to their usefulness in teaching, and their accuracy. The structure of each molecule has been calculated using modern quantum mechanical software in order to obtain high-accuracy properties to be used in classrooms. Models 360 was initiated by Xavier Prat-Resina during his period as a postdoctoral fellow with the Chemical Education Digital Library. Major contributions to the project were made by David Pieper, Justin Shorb, Robert Anglin, Brandon Korf, Greg Sovinski, Zak Kastelik, Rachel Bain, Angela Jones, Ieva Reich, Adam Hahn, and John W. Moore, all working for the Chemical Education Digital Library (ChemEd DL).
DOI: 10.6084/m9.figshare.19603750.v1
title: Integrative single-cell analysis reveals the transcriptional and epigenetic regulatory features of clear cell renal cell carcinoma

description: Clear cell renal cell carcinoma (ccRCC) frequently features a high level of tumor heterogeneity. Elucidating the chromatin landscape of ccRCC at the single-cell level could provide a deeper understanding of the functional states and regulatory dynamics underlying the disease. Here, we performed single-cell RNA sequencing (scRNA-seq) and single-cell assay for transposase-accessible chromatin using sequencing (scATAC-seq) on 19 ccRCC samples, and whole-exome sequencing was used to understand the heterogeneity between individuals. Single-cell transcriptome and chromatin accessibility maps of ccRCC were constructed to reveal the regulatory characteristics of different tumor cell subtypes in ccRCC. Two lncRNAs (RP11-661C8.2 and CTB-164N12.1) were identified that promoted the invasion and migration of ccRCC, which was validated with in vitro experiments. Taken together, this study comprehensively characterized the gene expression and DNA regulation landscape of ccRCC, which could provide new insights into the biology and treatment of ccRCC. <br>
DOI: 10.6084/m9.figshare.20549364.v1
title: 16s rDNA from maize rhizosphere soil bacterial

description: The 3-leaves seeding were watered using the solution with γ-PGA (10 KD, 50 mg/L) and NaCl (100mM). And the control group was only watered with NaCl (100mM) solution. After growth for 20 days, the soils tightly bound to the roots (served as rhizosphere soils) were collected and analyzed for the composition of microbial community. Total bacterial genomic DNA samples were extracted using OMEGA Soil DNA Kit (D5625-01, USA) This experiment was performed in triplicate. Amplification and high-throughput sequencing of 16s rDNA of soil bacteria in maize rhizosphere were performed
DOI: 10.6084/m9.figshare.29100278.v1
title: NDFO-BCP Experiment results.

description: This dataset contains numerical results comparing two interpolation methods—<b>Bi-value Coding Parameterization (BCP)</b> and <b>Normal Distribution Fiber Optimization (NDFO)</b>—for microstructure-integrated topology optimization. Data includes:<b>Compliance values</b> <b>Computation times</b><b>Macrostructure</b>
DOI: 10.6084/m9.figshare.5548549.v1
title: Cluster 35 trees

description: Maximum likelihood trees for genes in Cluster 35. Accompanies S4 Figure and S5 Figure.
DOI: 10.17632/4ybt7cmp2z
title: DFT Study allyboration of indanone

description: These data correspond to the Gaussian 16 output files obtained during the DFT study of the allyboration of indanone catalyzed by BINOL derivatives.
DOI: 10.17632/mk36vt2nzj
title: Prompt2SegCXR Dataset

description: Prompt2SegCXR Dataset is designed to generate segmentation masks for multiple organs and diseases in chest X-rays using doodle prompts. These doodles indicate the probable location of the target regions, enabling precise and efficient segmentation.

Our dataset contains doodle prompts for chest X-rays and segmentation masks from three renowned sources:
1. Japanese Society of Radiological Technology (JSRT) dataset
2. VinDr-RibCXR dataset
3. Shenzhen Hospital (China) dataset

Detailed description can be found in the ReadMe.pdf file.
DOI: 10.6084/m9.figshare.10059092.v1
title: EBT-GWAS.zip

description: The raw data could support our manuscript of "The genetic architecture of early body temperature and its correlation with Salmonella Pullorum resistance in three chicken breeds". Any qualified researcher could use the data after our agreement.
DOI: 10.6084/m9.figshare.1378873.v2
title: Image Denoising by a Local Clustering Framework

description: Images often contain noise due to imperfections in various image acquisition techniques. Noise should be removed from images so that the details of image objects (e.g., blood vessels, inner foldings, or tumors in the human brain) can be clearly seen, and the subsequent image analyses are reliable. With broad usage of images in many disciplines—for example, medical science—image denoising has become an important research area. In the literature, there are many different types of image denoising techniques, most of which aim to preserve image features, such as edges and edge structures, by estimating them explicitly or implicitly. Techniques based on explicit edge detection usually require certain assumptions on the smoothness of the image intensity surface and the edge curves which are often invalid especially when the image resolution is low. Methods that are based on implicit edge detection often use multiresolution smoothing, weighted local smoothing, and so forth. For such methods, the task of determining the correct image resolution or choosing a reasonable weight function is challenging. If the edge structure of an image is complicated or the image has many details, then these methods would blur such details. This article presents a novel image denoising framework based on local clustering of image intensities and adaptive smoothing. The new denoising method can preserve complicated edge structures well even if the image resolution is low. Theoretical properties and numerical studies show that it works well in various applications.
DOI: 10.6084/m9.figshare.14938755.v1
title: Single-cell sequencing reveals pre-activated anti-viral innate immunity as control of early SARS-CoV-2 infection in children

description: <pre>This dataset comprises single-cell RNA-Seq data of nasopharyngeal samples of COVID-19 patients and 16 healthy controls, for a total of 48 samples. 25 COVID-19 patients and 10 controls were diagnosed with hypertension and treated with either ACE inhibitors (ACEi) or angiotensin receptor blockers(ARB) (SARS-CoV-2-positive: 10 ACEi and 15 ARB; SARS-CoV-2-negative: 6 ACEi and 4 ARB).<br>An in-depth description is presented in the manuscript "Delayed viral clearance and exacerbated airway hyperinflammation in hypertensive COVID-19 patients" (https://www.medrxiv.org/content/10.1101/2020.09.22.20199471v1).</pre>
DOI: 10.6084/m9.figshare.22572883.v1
title: Supporting Information for Jensen et al. (2023), <i>Geochemistry, Geophysics, Geosystems</i>

description: The Supporting Information contains our supporting text and figures. Data tables are included in a single and separate Excel file. References cited within SI text, figures, and tables are shown below as well as in the reference list of the main text.
DOI: 10.6084/m9.figshare.26056342.v1
title: Temperature hot cycles laboratory data

description: Temperature hot cycles laboratory data<br>
DOI: 10.6084/m9.figshare.28299746.v1
title: artigos finais da revisão integrativa - DAV, ocupação de leitos e satisfação do paciente

description: REVISÃO DE LITERATURA SOBRE O IMPACTO DAS DIRETIVAS ANTECIPADAS DE VONTADE NA OCUPAÇÃO DE LEITOS HOSPITALARES E SATISFAÇÃO DO PACIENTE EM IDOSOS COM INDICAÇÃO DE CUIDADOS PALIATIVOS
DOI: 10.17632/nws4gw3ygx
title: Database on the ingested biomass of supplemented and wild foods by adult brown howler monkeys (Alouatta guariba clamitans) of two groups and their time budgets in southern Brazil

description: Dataset used to run generalized linear mixed models (GLMM) assessing the influence of daily ingested biomass (g) of supplemented foods, sex and their interaction on time (min) devoted to resting, feeding, moving and socializing and the contribution (g) of wild fruits and leaves to the diet of two groups (JA and RO) of brown howler monkeys (Alouatta guariba clamitans) inhabiting periurban forest fragments in southern Brazil.
DOI: 10.6084/m9.figshare.1008311.v1
title: Type 1 error rate using clustering for ERP

description: The archive contains codes used to create and analyze the data for the review paper on clustering methods to control the type 1 error rate over the whole space of EEG data analyzed - the raw data are two large but we made available the intermediate results (ie the actual FWER measured per subject, method, etc).
DOI: 10.6084/m9.figshare.13546643.v2
title: Supplemental Synthetic Images (outdated)

description: <b>Overview</b><br>This is a set of synthetic overhead imagery of wind turbines that was created with CityEngine. There are corresponding labels that provide the class, x and y coordinates, and height and width (YOLOv3 format) of the ground truth bounding boxes for each wind turbine in the images. These labels are named similarly to the images (e.g. image.png will have the label titled image.txt)..<br><b>Use</b><br>This dataset is meant as supplementation to training an object detection model on overhead images of wind turbines. It can be added to the training set of an object detection model to potentially improve performance when using the model on real overhead images of wind turbines.<br><br><b>Why</b><br>This dataset was created to examine the utility of adding synthetic imagery to the training set of an object detection model to improve performance on rare objects. Since wind turbines are both very rare in number and sparse, this makes acquiring data very costly. This synthetic imagery is meant to solve this issue by automating the generation of new training data. The use of synthetic imagery can also be applied to the issue of cross-domain testing, where the model lacks training data on a particular region and consequently struggles when used on that region.<br><br><b>Method</b><br>The process for creating the dataset involved selecting background images from NAIP imagery available on Earth OnDemand. These images were randomly<br>selected from these geographies: forest, farmland, grasslands, water, urban/suburban,<br>mountains, and deserts. No consideration was put into whether the background images would seem realistic. This is because we wanted to see if this would help the model become better at detecting wind turbines regardless of their context (which would help when using the model on novel geographies). Then, a script was used to select these at random and uniformly generate 3D models of large wind turbines over the image and then position the virtual camera to save four 608x608 pixel images. This process was repeated with the same random seed, but with no background image and the wind turbines colored as black. Next, these black and white images were converted into ground truth labels by grouping the black pixels in the images.
DOI: 10.6084/m9.figshare.28254956.v1
title: Final Data set for EBPQ study

description: The dataset supporting this study's findings is publicly available in the Figshare online repository.
DOI: 10.6084/m9.figshare.28382522.v1
title: Integrating competency-based assessment into training with peer counsellors providing support at scale to children, adolescents and young adults living with HIV in Zimbabwe: an implementation pilot case study

description: Zvandiri is a differentiated psychosocial support program delivering peer-counselling to children, adolescents and young adults living with HIV (CAYALHIV) to improve HIV and mental health outcomes, functioning at a national scale in Zimbabwe and in 14 other African countries sought to pragmatically address the feasibility and effectiveness of integrating the World Health Organization's EQUIP (Ensuring Quality in Psychological Support) competency-based assessment into a standard peer-counsellor training program. Baseline and endline assessments using EQUIP were conducted. The pilot of the EQUIP's competency-based approach effectively identified gaps in counselling skills on baseline assessment, enabling trainers to target these competencies throughout the training. The endline assessment demonstrated that all 16 participants developed stronger foundational counselling skills. Based on these findings, Zvandiri will integrate EQUIP assessments i) into the initial training provided to peer-counsellors when they first join Zvandiri and ii) within the CATS’ regular group supervision, in a targeted way to support the identification of further skills strengthening required to maintain the quality delivery of counselling services at scale by peer-counsellors.
DOI: 10.6084/m9.figshare.3083644.v2
title: New Rhinocerotidae from the Kisingiri localities (lower Miocene of western Kenya)

description: We describe new material of Rhinocerotidae recently collected in western Kenya. A skull from Karungu is one of the best-preserved Miocene skulls in Africa. It differs substantially from that of <i>Rusingaceros leakeyi</i>, the only other relatively well-known rhino from this region and age, in its degree of brachycephaly, possession of a deep nasal notch, and long nasal bones that probably carried a horn of moderate size. Miocene African rhinos are still too poorly known to resolve their phylogenetic relationships, but we tentatively assign this skull to a new species of <i>Victoriaceros</i>, a genus whose type species comes from the younger site of Maboko, although the Karungu skull has a much smaller nasal horn. A parsimony analysis resolves them as sister species within the Elasmotheriini, close to the other African genera <i>Turkanatherium</i> and <i>Chilotheridium</i>, but we consider this result debatable, as <i>Victoriaceros</i> differs considerably from them. Still, they might all be descended from European forms. A partial skull from Gumba is assigned to the Aceratheriini, making it one of the earliest representatives of this group and suggesting that the origin of this tribe could be African. http://zoobank.org/urn:lsid:zoobank.org:pub:2B1E8135-CCD4-43EB-826B-6DF7176DC74E SUPPLEMENTAL DATA—Supplemental materials are available for this article for free at www.tandfonline.com/UJVP Citation for this article: Geraads, D., T. Lehmann, D. J. Peppe, and K. P. McNulty. 2016. New Rhinocerotidae from the Kisingiri localities (lower Miocene of western Kenya). Journal of Vertebrate Paleontology. DOI: 10.1080/02724634.2016.1103247.
DOI: 10.6084/m9.figshare.4487912.v1
title: The complete mitochondrial genome of a cryptic amphipod species from the Gammarus fossarum complex. Supplementary Material

description: Supplementary material to the paper: Macher JN, Leese F, Weigand AM, Rozenberg A (2017) The complete mitochondrial genome of a cryptic amphipod species from the Gammarus fossarum complex. Mitochondrial DNA Part B, 2:17-18<br> <br> methods.pdf<br> Supplementary methods<br> <br> gene_sequences.zip<br> Untrimmed CDSs of 13 mitochondrial protein-coding genes of 12 amphipod species<br> <br> cds_alignment.meg<br> Trimmed, concatenated and partitioned CDS alignment of 13 mitochondrial protein-coding genes of 12 amphipod species<br>
DOI: 10.6084/m9.figshare.4738078
title: Quantitative analysis of vocalizations of captive Sumatran tigers (<i>Panthera tigris sumatrae</i>)

description: Tigers (<i>Panthera tigris</i>) are one of the world’s most recognizable big cats and all surviving subspecies are critically endangered. Despite the need to understand tiger behaviour in order to enhance captive care and conservation efforts, knowledge of tiger acoustic communication has relied almost entirely on aural descriptions. We measured the acoustic characteristics of multiple, distinctly different tiger sounds and linked these sounds to behavioural contexts. Remote audio recordings of five captive Sumatran tigers (<i>P. t. sumatrae</i>) at Taronga Zoo, New South Wales, Australia, were obtained in May–July 2014. The 331 highest quality recordings of tiger vocalizations were separated into 7 categories (‘moan’, ‘arf’, ‘mrr’, ‘growl’, ‘roar’, ‘chuff’ and ‘hiss’) and quantified regarding fundamental and peak frequencies, duration and, in some cases, harmonics or pulse rate. Classification of the most frequently uttered vocalizations was also determined with a multinomial logistic regression based on measurements of peak frequency (Hz), fundamental frequency (Hz) and duration (s). Our findings also indicate that, although loud vocalizations uttered by tigers have often been categorized as ‘roars’, ‘roaring’ is relatively rare and is used only in contexts of pain, fear and/or high aggression, while the loud ‘moan’ is likely the more commonly heard vocalization and is frequently uttered by tigers in announcement/contact contexts.
DOI: 10.6084/m9.figshare.5769864.v1
title: Data for: Dominant integration locus drives continuous diversification of plant immune receptors with exogenous domain fusions

description: This Figshare project contains data for paper entitled "Dominant integration locus drives continuous diversification of plant immune receptors with exogenous domain fusions". <br>Bailey et al - Genome Biology . [DOI for paper required here ]<br>Further details are available in the readme file, as well as the original publication.<br>Please feel free to get in touch.
DOI: 10.6084/m9.figshare.19448219.v2
title: The China Plant Trait Database Version 2.0

description: Here we present version 2.0 of the China Plant Trait Database, which contains information on morphometric, physical, chemical, photosynthetic and hydraulic traits from 1529 unique species in 140 sites spanning a diversity of vegetation types. Version 2 has five improvements compared to the previous version: (1) new data from a 4-km elevation transect on the edge of Tibetan Plateau, including alpine vegetation types not sampled previously; (2) inclusion of traits related to hydraulic processes, including specific sapwood conductance, the area ratio of sapwood to leaf, wood density and leaf turgor loss point; (3) inclusion of information on soil properties to complement the existing data on climate and vegetation (4) assessments of the reliability of individual trait measurements; and (5) inclusion of standardized checklists and templates for systematical field sampling and measurements. <br>
DOI: 10.6084/m9.figshare.19964752.v1
title: Insights on deflation theory

description: ABSTRACT Irving Fisher offered a ‘tentative’ debt-deflation theory of great depressions rather than a fully consistent theory of his ‘creed’: “I say ‘creed’ because, for brevity, it is purposely expressed dogmatically and without proof. [...] it is quite tentative” (Fisher 1933, p. 337). The paper argues that prominent authors who strived to explain his ideas within the Walrasian apparatus could not deliver a consistent theory of deflation with protracted depression. This is basically because destabilizing market forces cannot dominate in that conceptual framework. By contrast, owing to the way competitive forces operate under fundamental uncertainty, Keynes’ General Theory escapes the contradiction.
DOI: 10.6084/m9.figshare.21785456.v1
title: Dataset

description: Dataset used for core-genome and pan-genome phylogeny. Both fasta and gbk files are uploaded, including the list of strains.
DOI: 10.6084/m9.figshare.24182238.v1
title: Dataset Are quality assessments in science affected by anchoring effects?

description: Stata data set and do file for replicating "Are quality assessments in science affected by anchoring effects? Empirical results from a survey of authors assessing previously cited papers" (PLOS ONE) by Lutz Bornmann (bornmann@gv.mpg.de) and Christian Ganser (christian.ganser@lmu.de). It contains experimental data from a survey among corresponding authors of scientific articles who where asked to rate references they cited in their papers. The authors were randomly assigned to different experimental settings in which they received (or not) (1) a randomly generated anchor that is not related to the quality of publications, (2) information about the (true) citation impact of the paper (as an anchor with possibly relevant information) and were (or were not) informed about the use of the numbers as an anchor.
DOI: 10.6084/m9.figshare.7550720.v1
title: SuppData-1: BMP Alignment

description: Homologous sequences encoded by <i>bmp2/4/16</i> genes were aligned using the MUSCLE algorithm with default settings in the MEGA7 software. Format: FASTA.