cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/yxz2w7ctnh
title: The energy consumption and structural performance of 3D printed FDM parts in PLA & ABS, a comparison with Injection moulding

description: 3 point bending, tensile and impact testing data for structural testing on 3D and injection moulded components, in both ABS and PLA. Also some energy data relating to the time taken and energy consumption required to perform 3D printing of various components
DOI: 10.17632/t62vysxjn3
title: Domestic Edge Computing Terminal Pest Identification System Based on Large Model Compression and Lightweight: Innovative Application of Transformer-ConvLSTM and Adaptive Deployment

description: The dataset is a publicly available collection of agricultural pest images, designed to include a variety of common pest species found in agricultural environments. It features 20 distinct pest types, such as rice planthoppers, aphids, spider mites, cabbage caterpillars, among others. The images, which are primarily captured in real-world agricultural settings, come with corresponding labels, making them highly relevant for practical applications. This dataset effectively reflects the diversity and distribution of pests in actual agricultural scenarios.
DOI: 10.6084/m9.figshare.25514878.v1
title: 3OS ChemoGenes Supplementary Data

description: Research article title: Genomic alterations in chemotherapy genes detected in three model Thai adolescent patients with fatal osteosarcoma at Maharaj Nakorn Chiang Mai Hospital, Thailand.ABSTRACT OBJECTIVE: Osteosarcoma is the most common primary bone malignancy among adolescents and young adults, characterized by a high mortality rate, though it remains a relatively rare disease overall. The treatment protocols can be complex and challenging. We conducted a comparative genomic variation study to identify genes involved in the metabolism of chemotherapy drugs that are affected by various genomic alterations. METHODS: This study investigated the germline and tumor genomes of three primary osteosarcoma patients who responded poorly to chemotherapy, later developed lung metastases, and ultimately succumbed to the disease. Whole Genome Sequencing (WGS) data for both the germline and tumor genomes of these patients were analyzed to identify deleterious single nucleotide polymorphisms (SNPs), copy number variations (CNVs), and structural variations (SVs) in genes associated with chemotherapy and cancer. An analysis of protein association networks was performed on the affected genes of each patient to identify both common and unique biological processes associated with osteosarcoma. RESULTS: A few pathogenic mutations were identified exclusively in patients P1 and P3. P1 exhibited a missense mutation in the PIK3CD gene and a mutation in a splice donor site of the TP53 gene. P3 was affected by more deleterious mutations, namely, a stop-gain mutation in the MLH1 gene and a frameshift mutation in the REV3L gene. The tumor genome of patient P1 was extensively affected by copy number variations (CNVs), whereas the tumor genomes of patients P2 and P3 demonstrated fewer regions with CNVs. Structural variations were detected in all three tumor genomes and affected different key genes involved in platinum drug resistance and DNA repair. All identified mutated genes were also correlated with the clinical features of the patients. CONCLUSIONS: The genetic makeup of osteosarcoma is complex and varies from patient to patient, potentially affecting processes related to cell death or resistance to chemotherapy. Our investigations suggest that structural alterations, such as copy number variations (CNVs) and structural variations (SVs), in genes involved in chemotherapy metabolism and DNA repair mechanisms in tumor biopsies, could be useful for clinicians to design chemotherapy regimens suitable for different osteosarcoma (OS) patients.KEYWORDS: Osteosarcoma, Genome, Single Nucleotide Polymorphisms, Copy Number Variations, Structural variations, Chemotherapy<br>
DOI: 10.17632/mbhbh572kw
title: Differentiation and characterization of human iPSC-derived vascular endothelial cells under physiological shear stress. Abutaleb & Truskey.

description: Induced pluripotent stem cells (iPSCs) offer a potentially unlimited source to generate ECs for numerous applications. Here we describe a 7-day protocol to differentiate up to 55 million vascular endothelial cells (viECs) from 3.5 million human iPSCs using small molecules to regulate specific transcription factors. We also describe a parallel plate flow chamber system to study EC behavior under physiological shear stress. Included in the dataset is the supplemental method videos and SolidWorks part files for fabricating and setting up the parallel plate flow chamber.
DOI: 10.17632/sdvwjpydnm
title: Supplementary figure 1. Follow-up duration per outcome (EASI, POEM, DLQI, IGA, NRS mean pruritus past 7 days, NRS peak pruritus past 24 hours)

description: The follow-up duration of the participants ranged from 0 to 85.6 weeks. The daily practice setting resulted in different follow-up durations for each outcome measure (due to the fact that not all outcomes were collected on the same day).
DOI: 10.17632/xs53w94yst
title: Journal of Biomolecular Structure & Dynamics

description: Supplemental material
DOI: 10.6084/m9.figshare.28605683.v1
title: <b>Whilst the gymnosperm tree of life may survive the ongoing biodiversity crisis, the angiosperm tree of life may not</b>

description: How would the tree of life be affected by the ongoing biodiversity crisis? We know that the vertebrate tree of life may survive this crisis. However, due to the lack of comprehensive risk assessment for angiosperms, this question could not be fully investigated for vascular plants. Here, I took advantage of the first ever and most recent comprehensive risk predictions for 328 565 angiosperm species to ask whether high-risk vascular plant species represent a disproportionate amount of total evolutionary history. The findings showed significant association between risk status and evolutionary distinctness but only for angiosperm and not for gymnosperm, suggesting that future extinctions may result in a disproportionate pruning of angiosperm tree of life whilst most of the evolutionary history of gymnosperm might persist. To aid bending the curve of loss, we identified most over-threatened clades (e.g., Balsaminaceae) and priority species (e.g., <i>Hymenophyllum exquisitum</i>) for conservation.
DOI: 10.17632/mbpz37jhfn
title: Jyoti and Haese, 2021, "Validation of a multicomponent reactive-transport model at pore scale based on the coupling of COMSOL and PhreeqC"

description: The dataset contains the results used for validation of a reactive transport model at the pore scale using Comsol and PhreeqC described in the paper titled "Validation of a multicomponent reactive-transport model at pore scale based on the coupling of COMSOL and PhreeqC" authored by Apoorv Jyoti and Ralf R. Haese from the Peter Cook Center for CCS Research at the University of Melbourne. The dataset contains validation results of the presented model to previously published simulation and experimental results.
DOI: 10.6084/m9.figshare.7882940.v1
title: Ancient Greek semantic annotation datasets

description: Datasets containing semantic annotation of the Ancient Greek words <i>mus, harmonia, and kosmos</i> in the Diorisis Ancient Greek corpus. The files are in a tab-separated format. <br><br>Authors: Viivi Lähteenoja (dataset for <i>kosmos</i>)<br>Alessandro Vatri (datasets for <i>mus</i> and <i>harmonia</i>).
DOI: 10.17632/gnyrym4mv4
title: Code & data — Further improvement of bending performance for conditioning covariance matrices

description: A Jupyter Notebook (.ipynb) and its corresponding R Markdown (.rmd) and HTML (.html) files are provided. It provides the code to reproduce and analyze the data, and the results. Different bending procedures are compared based on the modification of eigenvalues. An updated bending procedure is presented, in which not only the eigenvalues smaller than a small positive value (Ɛ) are changed to Ɛ, but the smallest eigenvalue greater than Ɛ is gradually reduced as long as the bending performance is improved (reduced average absolute deviation between the upper triangle elements of the original matrix and the bent matrix).
DOI: 10.17632/3xc4rjx6wj
title: Atopic dermatitis: Autoimmune, cardiovascular and mental health comorbidity associations. A Systematic Review and Meta-analysis.

description: AD patients associated risks of individual and collective autoimmune diseases, mental illnesses and cardiovascular diseases.
DOI: 10.17632/xpy7jykfzw
title: Google Trends data on pollen searches 2012-2017

description: Google Trends data on searches for "pollen" for DMA regions near National Allergy Bureau pollen counting stations from 2012-2017, downloaded in 10x replicates, from Jan-Jun and Apr-Dec of each year. Search data for the term "ragweed" is included as a comparator in pollen searches (no file suffix), and can also be found as a separate search term (in files with the suffix "ragweed.csv")
DOI: 10.17632/7hr3swbh8c
title: Content validity questionnaire

description: Research: The Content Aspect of Validity in a Rubric-based Assessment Model of Course Syllabuses. Dataset description: Data from the optional field of the content validity questionnaire, and spreadsheet with the data and calculations made.
DOI: 10.17632/jkvftnpr5j
title: Dataset for Multimodal Perception of Prominence in Spontaneous Speech: A Methodological Proposal using Mixed Models and AIC

description: Data, R scripts, and video and audio files of spontaneous speech to study the multimodal perception of prominence
DOI: 10.6084/m9.figshare.15170790.v1
title: Data for Figures in Kimura et al. 2021

description: A data set used for Figures in Kimura et al. (2021) Nature Communications.
DOI: 10.17632/9f2396k6x9
title: ENMTML: An R package for a straightforward construction of complex Ecological Niche Models

description: Results generated by an example run of the package ENMTML. Models were fitted for fie different species, for both current and future climatic conditions. For more details about the parameters used to fit the models please see the full article "ENMTML: An R package for a straightforward construction of complex Ecological Niche Models" available at Environmental Modelling and Software.
DOI: 10.17632/j9p2gntcf9
title: VALbrechagd

description: El conjunto de datos proporcionado está diseñado específicamente para permitir la reproducción del artículo correspondiente. Si desea obtener más información sobre las variables contenidas en el conjunto de datos, puede contactar con el autor del dominio. Para reproducir los cálculos y modelos presentados en el artículo, se aconseja descargar y utilizar el software Geoda. Si necesita información adicional sobre las variables incluidas en el conjunto de datos, no dude en ponerse en contacto con el autor del dataset.
DOI: 10.17632/x358g47nnz
title: A model for biodegradation of polymer fibers made of poly-3-hydroxybutyrate (P3HB) and poly-3-hydroxybutyrate-co-3-hydroxyvalerate (P3HB-co-3HV). Appendix B. Biodegradation model file (Comsol) for P3HB, in vivo.

description: Additional materials for the article "A model for biodegradation of polymer fibers made of poly-3-hydroxybutyrate (P3HB) and poly-3-hydroxybutyrate-co-3-hydroxyvalerate (P3HB-co-3HV)". The model file is biodegradation of suture fibers from P3HB, in vivo.
DOI: 10.15468/dl.bn96f9
title: Occurrence Download

description: A dataset containing 410 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Andrena trimmerana (Kirby, 1802)"
 ]
}

 The dataset includes 410 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009176-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8zvjvcyv79
title: Plant data for large plots sampled over two elevational gradients in the high Andes of central Chile (33°S)

description: These are the raw results of a survey of vascular plant species along two elevational gradients in the high Andes of central Chile (33°S). At the height of the austral summer season, homogeneous tracts of vegetation were selected at approximately 100 m elevation intervals along the two gradients: La Parva area ( 2500-3600 m a.s.l) and Valle Nevado area (2300-3700 m.a.s.l). At each sampling location, a 40 m x 40 m (1600 m2) plot was laid down, with the upper and lower sides placed parallel to the slope. The four corners of the plots and its centre were georeferenced with a Garmin Montana 680 GPS with the WGS 84 reference system. Additionally, the corners and center of each plot were fitted with a mettle stake to facilitate future location. Three observers scrutinized the plots to record all vascular plant species present. Where needed, occasional herbarium specimens were collected to assure correct identification. Specimens were identified at the University of Concepción (CONC) herbarium and will be deposited there. The raw data is included in a file that contains four sheets. The first sheet provides detailed location data for the plots, including geoferences, altitude, orientation and sampling dates. The second and thirds sheets contain the species recorded in each individual plot along the two altitudinal gradients, respectively. The fourth sheet provides the scientific names, families, life form and native/non native status of the 168 species recorded in the plots. This information is being used to test the hypothesis that harsh conditions of the alpine act as environmental filters and promoters of diversification, originating more phylogenetically clustered communities at higher elevations.
DOI: 10.17632/c52jtmktrz
title: POP et al 2024

description: Rats experimental blue light exposure
DOI: 10.17632/np8pvsmdjm
title: Crude Oil Price Data for developing a hybrid ARIMA-phGMDH forecasting model

description: The data presented is in two parts, the Primary data and Secondary data. The Primary data was used in the modelling of hybrid ARIMA-phGMDH forecasting models. The Primary data consist of screened crude oil price for Three crude oil international markets; West Texas Intermediate (WTI), European Brent and the Organization of the petroleum exporting countries (OPEC) Reference Basket Prices. The Primary data has been partitioned into in-sample data and out of sample data. The secondary data includes forecast values for ARIMA, NARNET and developed hybrid ARIMA-phGMDH. It also includes Errors from forecast models
DOI: 10.6084/m9.figshare.26678486.v1
title: Additional file 1 of Identification of a DNA damage repair-related LncRNA signature for predicting the prognosis and immunotherapy response of hepatocellular carcinoma

description: Additional file 1: Supplementary Table 1. 450 DDR gene list download from MSigDB. Supplementary Table 2. 76 DDR-related DEGs. Supplementary Table 3. 109 DDR-related lncRNAs with prognostic value.
DOI: 10.17632/g2p55n87ns
title: Chemical analyses from the investigation of the alteration of minerals (muscovite, phlogopite and K-vermiculite) by Paxillus involutus.

description: Microcosm experiments of Paxillus involutus growing on muscovite, phlogopite and K-exchanged vermiculite as K sources were carried out for 21 days. The intention of the study is to investigate the several metabolic routes that the fungus followed for K extraction and transport. All minerals were partly dissolved and there were signs of surface alteration, especially in phlogopite and K-vermiculite. In this database, there are two files: 1) chemical results from ICP-AES of the fungal mycelium and Agar, as well as pH measurements on the Agar. 2) SEM-EDS results of the chemistry of the surface of the minerals, investigated with two different microscopes and experimental conditions. Analyses include data before the experiments and after the experiments, as well as analyses of samples used as standards to calibrate the results.
DOI: 10.17632/tnbwfw2pg2
title: Anatomical organization of temporally correlated neural calcium activity in the hippocampal CA1 region

description: Data repository for the publication "Anatomical organization of temporally correlated neural calcium activity in the hippocampal CA1 region"

*Fig_3_barrier is Ai163 mouse line with endogenous calcium fluorescence expression, all other datasets use AAV1-CaMKII-GCaMP6f-WPRE-SV40 to induce calcium fluorescence

Data format:
- for each mice, it contains a neuronIndividuals_new.mat, ConcatenatedNeuronRecording.avi, and behav.mat

neuronIndividuals_new.mat: 1x6 cell. 
- Each cell represent the CNMF-E extracted neuron data for the corresponding trial:
- C: denoised calcium data. Each row represent the calcium trace of a single neuron
- C_raw: un-denoised calcium data.
- S: deconvoluted calcium spike train. Each row represent the spike train of a single neuron
- A: neuron footprint. Each column represent the footprint of a single neuron, use reshape(A(:,i), 240,376) to resotre the footprint
- Coor: outer boundary of each individual neurons
- Cn: Original recording ROI enhanced by autocorrelation
- time: timestamp of calcium signal

behav.mat: 1x6 cell
- behavior data of each trial, corresponds to the neuronIndividuals_new.mat
- position: trajectory of mouse in trial
- time: timestamp of position 

background:
Hippocampal CA1 neuronal ensembles generate sequential patterns of firing activity that contribute to episodic memory formation and spatial cognition. Here we use in vivo calcium imaging to record neural ensemble activities in mouse hippocampal CA1 and identify CA1 excitatory neuron sub-populations whose members are active across the same second-long period of time.  We identified groups of hippocampal neurons sharing temporally correlated neural calcium activity during behavioral exploration, and found that they also organized as clusters in anatomical space.  Such clusters vary in membership and activity dynamics with respect to movement in different environments, but also appear during immobility in the dark suggesting an internal dynamic.  The strong covariance between dynamics and anatomical location within the CA1 sub-region reveals a previously unrecognized form of topographic representation in hippocampus that may guide generation of hippocampal sequences across time and therefore organize the content of episodic memory.
DOI: 10.17632/5j892sjvns
title: The Impact of Capital Structure on Financial Performance of Russian Public Oil and Gas Companies

description: Master's thesis on the topic:
"The Impact of Capital Structure on Financial Performance of Russian Public Oil and Gas Companies"
DOI: 10.17632/4cf9td788f
title: Data for: Identifying Irregularities in Security Event Logs through an Object-based Chi-squared Test of Independence

description: EventLogs.zip contains 20 event logs used for empirical analysis in this software EventAnalysisSoftware.zip contains a C# project for processing and analysing the event logs.
DOI: 10.17632/hsbsb6b982
title: THE IMPACT OF CASH CONVERSION CYCLE ON PROFITABILITY OF THE FIRMS WITH RESPECT TO S&P BSE SENSEX INDIA

description: Cash Conversion Cycle (CCC) is a crucial tool that influences the firms’ short-term requirements. CCC affects the liquidity requirements of every company, every nature of the business, and every size of the business. In this setting, the present research explores the different aspects of CCC and its influence on profitability related to non-financial companies of the S&P BSE (Bombay Stock Exchange) SENSEX Index in India during 2006-2020. Investigating the factors that affect the CCC and statistically significant impact on firms' profitability across the nature of the business and size of the business is the main focus of this research. The results of this research that significant negative relation observed between CCC and profitability of the firm in more classifications (Teruel & Solano 2007, Garcia 2011, and Nobance et al. 2011) and shorter length of cash conversion cycle increase the profitability of the firm (Manyo 2013 and Ajanthan & Kumara 2017). It is also concluded that this research that results would differ in different nature of the business (Padachi 2006) and different size of the business.
KEYWORDS: Cash Conversion Cycle, Nature of the Business, Profitability, S&P BSE SENSEX, Size of the Business, Working Capital.
JEL Classification: G32, L25
DOI: 10.17632/fch8cvvnhx
title: Association of Additional Healthcare Costs Incurred due to Comorbidity of Diabetes Mellitus and/or HIV among Tuberculosis Patients on Adverse Treatment Outcomes

description: Data for the cohort study and the transcripts used for the qualitative analysis.
DOI: 10.17632/sjwjn276hw
title: Reducing Active Commuters’ Exposure to Traffic Air Pollution, Noise, and Urban Heat Through Urban Green Space: A Scoping Review

description: The study aims to identify global trends in UGS studies and their effectiveness in reducing active commuters’ exposure to Traffic-related air pollution (TRAP), Traffic noise (TN), and Urban heat island (UHI). The data show the number of previous studies that have assessed the significant impact of green spaces in reducing TRAP, TN, and UHI.
DOI: 10.6084/m9.figshare.22760795.v1
title: Data for ASE peer review

description: Datasets
DOI: 10.17632/bbr64czvzw
title: Viet_SCS_CFs_CDisp

description: Data of the cross-correlation functions and Releigh wave phase dispersions used in tomography of the S-wave velocity structure.
DOI: 10.17632/yy2k5y8mxg
title: BRACOL - A Brazilian Arabica Coffee Leaf images dataset to identification and quantification of coffee diseases and pests

description: The dataset was developed with the purpose to evaluate deep learning algorithms for segmentation and classification. it contains images of arabica coffee leaves affected by the main biotic stresses that affect the coffee tree: leaf miner, leaf rust, brown leaf spot, and cercospora leaf spot. The images were obtained using different smartphones (ASUS Zenfone 2, Xiaomi Redmi 5A, Xiaomi S2, Galaxy S8, and iPhone 6S). The leaves were collected at different times of the year in Santa Maria of Marechal Floreano in the mountains regions of the state of Espirito Santo, Brazil. The photos were taken from the abaxial (lower) side of the leaves under partially controlled conditions and placed on a white background. The acquisition of the images was done without much criterion to make the dataset more heterogeneous. A total of 1747 images of arabica coffee leaves were collected, including healthy leaves and diseased leaves, affected by one or more types of biotic stresses. The process of biotic stresses recognition for dataset labeling was assisted by an expert and performed with the captured images. From the obtained photos were generated two datasets. A dataset with the original images of the entire leaves and a second one containing only symptoms images. Details of each dataset are described in the following. Leaf dataset: It consists of the original images of the entire leaves. The images were labeled in relation to the predominant biotic stress of each leaf and its severity. Stress severity was calculated using the symptom and leaf segmentation mask using automatic image processing methods presented in Manso et al. (2019). For certain severity ranges, labels were assigned as follows: healthy (&lt; 0:1%), very low (0.1% - 5%), low (5% - 10%), high (10% - 15%) and very high (&gt; 15%). Symptom dataset: This dataset was created by cropping the isolated symptoms from the original images in a way that only single stress was present in each image. A total of 2147 symptom images were cropped. Each dataset is divided in training, validation and test. GL Manso, H Knidel, RA Krohling, JA Ventura (2019), A smartphone application to detection and classification of coffee leaf miner and coffee leaf rust. arXiv preprint arXiv:1904.00742