cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14321791.v1
title: Effect of infill pattern in Fused Filament Fabrication (FFF) 3D Printing on materials performance

description: ABSTRACT Fused Filament Fabrication (FFF) is an Additive Manufacturing process popularized in the last decade due to its easiness of use and lower costs. However, despite its increasing popularity, the process itself has several gaps in knowledge, hindering further uses on more advanced objects. Also, the freedom of design allows significant variances in the printed parts, many influencing production and mechanical properties. This work studies the influences of the infill patterns in the mechanical response of printed parts. Using poly (lactic acid) (PLA), a widely used polymer in FFF process, the mechanical responses of parts printed with different infill patterns were analyzed. Rectilinear, Honeycomb, Triangle and Grid patterns were tested on impact resistance and tensile strength. Additionally, samples masses were measured and compared to the mechanical response. Results shown significant differences in the on tested properties. Tensile strength varied from 2.4 to 1.1 MPa, and impact resistance from 3.8 to 1.5 kJ/m2 Also, measured mass was found to be significantly higher on the Honeycomb pattern. Considering mechanical response from both tensile and impact tests along with printed mass, Rectilinear pattern can be considered the most advantageous from the economic point of view.
DOI: 10.6084/m9.figshare.27264054.v7
title: Gadolinium Retention Estimation Tool

description: This Excel file provides a tool for estimating gadolinium (Gd) retention in patients based on the time (in months) between MRI gadolinium contrast media (Gd-CM) administration and urine sample collection. Users can input spot urine and Chelate-Evoked Metal Excretion Test (CEMET) urine Gd concentrations in µg/g creatinine along the time lapse after Gd-CM exposure in months. The results are then plotted into norm-regression curves with ±95% confidence intervals (CI) to provide an estimate of the lag-time-specific Gd retention.The regression curves are based on data from 54 patient samples. Spot urine samples were collected in the morning while fasting. Subsequently, a standard intravenous infusion of 600 mg glutathione, 1.9 g Na-Ca-EDTA, and 250 mg DMPS was administered, with CEMET urine collected two hours after infusion initiation. This combination of chelation agents enhances sensitivity and broadens the range of metals captured by CEMET.Na-Ca-EDTA effectively binds and promotes the urinary excretion of gadolinium, making it a viable alternative to Zn-DTPA. The tool generates two distinct regression curves: one for short- to medium-term gadolinium retention (&lt;24 months, in sheet 1) and another for long-term retention (2–10 years, in sheet 2), reflecting different slope trends over time.Sheet 3 includes a Python script that enables users to generate norm diagrams and aggregate patient data. This script can be customized to adjust norm diagrams and 95% CIs for specific research questions or patient subsets, such as those differentiated by renal function, lifetime gadolinium exposure, or specific Gd-CM types or brands.While this tool estimates gadolinium retention in tissues after defined intervals following Gd-CM administration, elevated retention values do not necessarily correlate with clinical symptoms. Patients with typical retention may still exhibit symptoms, while those with elevated retention might remain asymptomatic.Increased sensitivity to gadolinium and related pathologies seems to involve autoimmune mechanisms or predisposing factors, such as decreased metal tolerance or increased pre-exam metal exposure, which are not directly linked to gadolinium concentrations in blood or urine. Therefore, this tool is valuable for estimating individual gadolinium retention after Gd-CM exposure but is not intended to determine toxicity levels.
DOI: 10.6084/m9.figshare.28666520.v2
title: Ethology

description: The data is for the submitted manuscript about coffee concentration-dependent enhancement and sleep deprivation recovery in <i>Drosophila melanogaster</i> (fruit fly).
DOI: 10.17632/bnxw3pmjmm
title: Dataset for the combined effect of cetane improver and water emulsion on energy, environmental and economic values of a diesel engine fueled with lemon peel oil

description: Dataset associated with the combined effect of cetane improver and water emulsion on energy, environmental and economic values of a diesel engine fueled with lemon peel oil
DOI: 10.6084/m9.figshare.11743905.v1
title: Supplementary Material for: Can Eating Disorder Treatment also Alleviate Psychiatric Comorbidity? Matched Correspondence Analysis

description: Medicine
DOI: 10.6084/m9.figshare.15035709.v1
title: Data Ti-6Al-4V (1).csv

description: Raw data of melt pool measurements of Ti-6Al-4V for the manuscript 'Methodology and experimental Validation of analytical Melt Pool Models for Laser Powder Bed Fusion'
DOI: 10.6084/m9.figshare.21350343.v1
title: Genomes

description: Pure culture and metagenome-assembled genomes generated in this study in fasta format.
DOI: 10.17632/8jcwbmzpnt
title: Cognitive biases resulting from the representativeness heuristic in operations management: an experimental investigation

description: This file contains the six scenarios used to study the six cognitive biases resulting from the Representativeness heuristic.
DOI: 10.6084/m9.figshare.28388054.v1
title: <b>N</b><b>ovel genomic feature in the brain-specific BRSK2 (NCDs)</b>

description: <b>Background:</b> The human <i>BRSK2</i> (Brain-specific Serine/Threonine Kinase 2) is mainly expressed in the brain and is required for neuronal polarization and differentiation. This gene contains the longest 5′ untranslated region (5′ UTR) pentanucleotide short tandem repeat (STR), (CGGCT)6, in human. We hypothesized that this exceptional length may confer selective advantage in cognitive functioning.<b>Methods:</b> We sequenced the region spanning (CGGCT)6 in a sample of 339 unrelated Iranian individuals, consisting of cases affected by late-onset neurocognitive disorder (NCD) (N=163) and matched controls (N=176). Following to our sequencing results, we mapped CGGCT motifs/repeats across the human genome and studied this region across several primate and rodent genomes.<b>Results:</b><b> </b>We found that (CGGCT)6 is part of a compound island of numerous consecutive CGGCT motifs/repeats, ranging from 1 and 6-repeats, stretching the <i>BRSK2</i> core promoter and 5′ UTR. This island is flanked by a CGG-STR in its downstream. Across the human genome, the CGGCT island was unique with respect to density, complexity, and repeat length of CGGCT motifs and repeats. The evolution of the CGGCT island and CGG-STR coincided with the phylogenetic distance of several primates and rodents, signifying directional (rather than random) evolution of this island in these species. While (CGGCT)6 was strictly monomorphic in the human samples studied, a 7-repeat of this motif was detected in the controls only. In another CGGCT-repeat inside the CGGCT island, there was a significant excess of homozygosity for a long allele (4-repeat) in the controls (Mid-P=0.02). At the same locus, a 3-repeat allele was detected in the NCD group only. Moreover, alleles were detected at the extreme short and long lengths of CGG-STR in the NCD group only. Finally, a 5′ UTR G to T point mutation, flanking the CGGCT island was detected in one individual with NCD.<b>Conclusion:</b> We report a novel genomic feature, consisting of a CGGCT motif/repeat island and CGG STR in <i>BRSK2</i> that coincide with directional evolution of primates. Several polymorphic and rare alleles across this region were divergently distributed in the NCD and control groups, signifying a link between this region and cognitive functions in human.
DOI: 10.6084/m9.figshare.13135484.v1
title: Arthropod assemblages in invasive and native vegetation in Great Salt Lake wetlands dataset

description: This data was collected as part of a multiyear study examining how arthropod assemblages differ between native and invasive vegetation in Great Salt Lake wetlands in Utah, U.S.A. Great Salt Lake wetlands provide continentally significant habitat for shorebirds, songbirds, and waterfowl. Invasive species, such as the grass species <i>Phragmites australis </i>(common reed)<i>, </i> have the potential to disrupt trophic interactions within these wetlands by altering the arthropod assemblages on which bird populations rely. However, there are few quantitative data that describe differences in arthropod assemblages between invasive and native wetland plants. <br>In our study, we examined the arthropod assemblages found within three native wetland habitats as well as in <i>Phragmites </i>stands. We used two different arthropod trap types, emergence and windowpane traps, to collect arthropods from each habitat. From these collections, we identified each individual based on their family (genus when possible) and counted, dried, and weighed the specimens. This dataset describes the total weight of dried arthropod biomass from each trap sample and individual counts for all arthropod families identified in each sample. In addition, we measured vegetation biomass, litter depth, and water depth within each habitat type. These specific site conditions for each habitat type are described in this dataset as well. <br>Identifying how arthropods interact with both <i>Phragmites australis </i>and native vegetation is critical to recognizing how to manage wetlands for migratory and resident bird habitat. By gaining a better understanding of these relationships, arthropod biomass, abundance, diversity, and assemblage composition may serve as potential assessment metrics for determining management success in wetlands.
DOI: 10.6084/m9.figshare.20310240.v1
title: Predicting the trading behavior of socially connected investors

description: Eight data sets that differ in whether they are used to predict investor trading in the same or subsequent periods with observations about the trading of neighbors in the social network. The periods are either daily or weekly windows. Moreover, we investigate separately investor influence over purchase and sale transactions. These three differences lead to eight distinct data sets. The size of the data sets ranges from just below 2,400 to almost 22 thousand observations. The labels are positive (set equal to 1) if an investor on a given day traded specific security in the same direction as at least one of his neighbors and negative (set equal to 0) otherwise. We use a sliding window with the size corresponding to the prediction window. In each window, for each ego investor, we create observations of instances of social influence in the neighborhood, given that at least one of the neighbors is active. An ego investor can be understood as a tippee and her neighbors as tippers. We record the specific behavior of investors in their neighborhood and, depending on the prediction period, the ego investors' behavior in the same or subsequent period. Initially, the data sets were highly imbalanced in terms of labels and, for this reason, were re-sampled to achieve a 1:3 label balance ratio.
DOI: 10.6084/m9.figshare.24960996.v1
title: unigene.fa.transdecoder.cds

description: Predicting CDS sequences based on transcriptome information of Angelica sinensis
DOI: 10.6084/m9.figshare.27993996.v2
title: Deconvolution Density Estimation with Penalized MLE

description: Deconvolution is the important problem of estimating the distribution of a quantity of interest from a sample with additive measurement error. Nearly all infinite-dimensional deconvolution methods in the literature use Fourier transformations. These methods are mathematically neat, but unstable, and produce bad estimates when signal-noise ratio or sample size are low. A popular alternative is to maximize penalized likelihood for a finite-dimensional basis expansion of the unknown density. We develop a new method to optimize penalized likelihood over the infinite-dimensional space of all functions. This gives the stability of regularized likelihood methods without restricting the space of solutions. Our method compares favorably with state-of-the-art methods on simulated and real data, particularly for small sample size or low signal-noise ratio. We also provide the first results on the consistency and rate of convergence of penalized maximum likelihood estimates for density deconvolution. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.23645/epacomptox.6062620.v3
title: ToxCast Database (invitroDB) for Mac Users

description: ToxCast high-throughput assay information including assay annotation user guide, assay target information, study design information and quality statistics on the assays. This version is Mac compatible.
DOI: 10.6084/m9.figshare.13061165.v1
title: Drug Information Database Trial

description: This was a multicenter randomized trial which compared pharmacy student responses to drug information questions using Micromedex with Watson, Micromedex without Watson, or Google from January to March of 2020. First- to fourth-year pharmacy students at two institutions were included. The primary outcome was the number of correct answers. Secondary outcomes were the time taken to answer the questions and differences in number of correct answers by pharmacy student year and institution.
DOI: 10.6084/m9.figshare.22598074.v1
title: Multisource flow data

description: The number of POI data points of the seven logistics companies in China, and the number of POI data of the three telecom operators in China.
DOI: 10.6084/m9.figshare.25101440.v1
title: Proteomics Data of CAD and HC

description: Atherosclerosis, leading to coronary artery disease (CAD), is strongly influenced by hypercholesterolemia (HC). Proteomics research has shown promise in identifying biological markers for CAD diagnosis and prognosis. This cross-sectional study aimed to discover innovative biomarkers for detecting HC and CAD. Analyzing proteome data from healthy controls (n=45), and from patients diagnosed with HC (n=51) or CAD (n=32), we identified distinct protein patterns associated with each condition. CAD patients showed a significant increase in the cholesterol-metabolizing protein PCSK9 and varying levels of the angiogenesis-related protein SDF-1. Several other proteins (LRP1B, VAV, CSRP3, HSP 60, and TAK1-TAB1) also exhibited unique expressions in disease groups, suggesting potential roles in atherosclerosis development. Moreover, a statistically significant correlation between SDF-1, ApoB levels, and LDL levels was found in CAD patients but not in healthy controls. Nevertheless, this is an exploratory study and validation studies are needed to confirm these potential protein biomarkers for CAD in the context of HC.
DOI: 10.6084/m9.figshare.29067881.v1
title: Filtered Hi-C read IDs from autotetraploid <i>Medicago sativa</i> XinJiangDaYe

description: This gzipped text file contains filtered Hi-C read IDs from autotetraploid <i>Medicago sativa</i>. The original FASTQ data can be downloaded from NCBI's SRA database under accession numbers SRR9026577 and SRR9026578. These reads should only be used with their corresponding genome assembly version (available at https://doi.org/10.6084/m9.figshare.26037289) where obvious assembly errors have been eliminated. Using this data with other genome assemblies is not recommended.
DOI: 10.6084/m9.figshare.3145369.v1
title: Data_TPLakes

description: A comprehensive and freely available data set of lakes’ status (name, location, shape, area, perimeter, etc.) over the Tibetan Plateau (TP) dating back to the 1960s, including three time series, i.e., the 1960s, 2005, and 2014, derived from ground survey (the 1960s) or high-spatial-resolution satellite images from the China-Brazil Earth Resources Satellite (CBERS) (2005) and China’s newly launched GaoFen-1 (GF-1, which means high-resolution images in Chinese) satellite (2014). The data set could provide scientists with useful information for revealing environmental change processes and mechanisms over the TP region.
DOI: 10.6084/m9.figshare.5398573.v2
title: Model Onychomycosis Training Datasets (JPG thumbnails) and Validation Datasets (JPG images)

description: <b>1. Train dataset (Thumbnails)<br></b><i>A1 - Asan dataset</i> (49567 thumbnail images) - Diagnosis based on image findings +/- clinical diagnosis identified by chart review<i>A2 - Asan dataset</i> (3741 thumbnail images) - Clinical diagnosis identified by chart review<br><b>2. Validation dataset (1358 images)</b><i>B1 - Inje dataset</i> (100 images) - Culture<i>B2 - Inje dataset</i> (194 images) - KOH, or Culture, or Responsiveness to medications (TA ILI or antifungal drugs)<i>C - Hallym dataset</i> (125 images) - KOH, or Culture, or Responsiveness to medications (TA ILI or antifungal drugs)<i>D - Seoul dataset</i> (939 images) - KOH<br>
DOI: 10.6084/m9.figshare.14946186.v1
title: Autogenerated databases of yield strength and grain size using ChemDataExtractor

description: (A) Three materials databases containing the properties: (i) yield strengths; (ii) grain size; (iii) combined yield strengths and grain size, (iv) engineering-ready-yield strengths; all autogenerated using ChemDataExtractor. <br>(B) The associated ChemDataExtractor code that is specific to data auto-extraction for these databases.
DOI: 10.6084/m9.figshare.19146107.v1
title: DISEASES v2 (human, text mining, filtered)

description: This file contains the filtered non-redundant set of gene–disease associations obtained from automatic text mining in DISEASES v2.
DOI: 10.6084/m9.figshare.25550922.v1
title: PPG_raw_data

description: It includes 1078 PPG data obtained from Polysomnography records of 12 individuals during sleep. 539 of the data show sleep bruxism activity. Bruxism data are in the "Patient" folder. The other 539 data that do not meet the bruxism criteria and are used as control data are in the "Healthy" folder.
DOI: 10.6084/m9.figshare.25676970.v1
title: 1. MOST ACTIVE SPACEPORTS WORLDWIDE.xlsx

description: This list presents the most active spaceports according to the number of launches worldwide.
DOI: 10.17605/osf.io/2as9c
title: (Predicted) task success mediates eye movements toward targets with high informational or motivational value (source data)
DOI: 10.17632/5vm5c2rbcs
title: Assessing drought impacts over semiarid agro-ecosystems: a case study in the northern Minas Gerais - Dataset

description: The data used were: Water Index for Vegetation Supply (VSWI) and Anomalies Water Index for Vegetation Supply (AVSWI), calculated by João Garcia; classified Rural Environmental Registry (RER) - Cadastro Ambiental Rural (CAR); landcover and land use maps from MapBiomas, collection 4.0.
DOI: 10.17632/9hjv66mjm9
title: Digitalization through Supply Chains: Evidence from Customer Concentration of Chinese Listed Companies

description: All tables in the table can be obtained by running "regression1 for em revision202310.do". We have clarified all tables and figures relavant in the do-file.
Data for Fig.1 are provided in file "fig1.xlsx" in file "data".
DOI: 10.17632/bgscjxf22f
title: Vegan Tweets

description: A total of 50634 vegan related tweets to share
DOI: 10.17632/d4jz557h72
title: XRD of ZnO; ZnO:H; CuO; CuO:H and their EIS data

description: menegboledisi@gmail.com; boisa.ndokiari@ust.edu.ng
DOI: 10.17632/fcxzwbpt3s
title: LyMPhi: Octave Code

description: Octave source code for level-set based segmentation of meningeal lymphatic vessels, using LyMPhi (includes demo file and demo data.) Run LyMPhiDemo.m in Octave to see a segmentation result. You can try this on your own data. Please cite: Tabassum, Nazia, et al. "Image segmentation for neuroscience: lymphatics." Journal of Physics: Photonics (2021).
DOI: 10.6084/m9.figshare.13677259.v1
title: sc_mouse_cortex

description: pre-processed mouse brain cortex from Tasic et alhttps://www.nature.com/articles/s41586-018-0654-5?spm=smpc.content.content.1.1549238400023WRl5Apr<br>
DOI: 10.6084/m9.figshare.19345478.v1
title: Figure_dataset

description: Dataset for the publication " 3D DEM modeling on mechanical weakening of gas hydrate-bearing sandy sediments during hydrate dissociation"<br>
DOI: 10.6084/m9.figshare.21424608.v2
title: Opposing roles of hepatic stellate cell subpopulations in hepatocarcinogenesis

description: The compressed file contains the CellBender filtered snRNA-seq data of the human samples used in the paper "Opposing roles of hepatic stellate cell subpopulations in hepatocarcinogenesis" (https://www.nature.com/articles/s41586-022-05289-6)
DOI: 10.6084/m9.figshare.27969414.v3
title: Supplementary information

description: Supplementary tables for the manuscript "Discovery and Validation of Frameshift-Derived Neopeptides in Lynch Syndrome: Paving the Way for Novel Cancer Prevention Strategies".
DOI: 10.6084/m9.figshare.7413506.v1
title: Survey Responses 2nd Round.xlsx

description: See Spackman et al. Developing Key Performance Indicators for Prescription Medication Systems. Forthcoming in PLOS One.<br>
DOI: 10.6084/m9.figshare.8145962.v3
title: Gonzalez-Rubio et al., 2019 -Explicit Temporal Control

description: The data supporting the conclusions of the manuscript ("Explicit control of step timing during split-belt walking reveals interdependent recalibration of movements in space and time") are available in this data set (https://doi.org/10.3389/fnhum.2019.00207). More information on how to reproduce the Figures from the article can be found in OSF (https://osf.io/eq6f9/). <br>Here is a list of the names of the parameters in the code and their corresponding names in the paper: 'Sout' -&gt; 'Sout', 'Tout' -&gt; 'Tout', 'Serror' -&gt; 'Leg Orientation Asymmetry (SA)', 'Terror' -&gt; 'DS Time,Asymmetry (TA)', 'Sgoal' -&gt; 'Range of Motion Asymmetry (SnA)', 'Tgoal' -&gt; 'Stance Time Asymmetry (TnA)'. <br>Name correspondence in the code for the groups: 'StepTimeStudyControl' -&gt; 'Control', 'StepTimeStudy' -&gt; 'Temporal Feedback', 'AlphaFeedback' -&gt; 'Spatial Feedback'.<br>Name correspondence in the code for the epochs: 'InitialWash' -&gt; 'After-Effects', 'TMsteady' -&gt; 'Steady State'.<br>The data provided here is a Matlab group object file (.mat). Once it is loaded to the workspace of the software, it will be organized by groups. Each group has the ID for each subject in a 1x7 cell (each column will be a subject), and the column number will be the same for the individual data which can be found in the 1x7 cell called "adaptData".<br>On each subjects' adaptData there is information on the experiment ("metaData"), information on the subject ("subData"), and all the experiment measured parameters ("data"). <br>Inside of each subjects' data you can find each one of the parameters names previously defined that were used in the paper under ("Data"). The matrix with the data is a nx187 where the rows represent the strides and the columns the parameters. You can find the column that correspond to your parameter by looking into "labels" and we also provide explanations on the computations in "description".<br>
DOI: 10.6084/m9.figshare.23703276.v2
title: Physical fitness and adolescents' attention

description: Dataset of the paper "Physical Fitness Is Related to Concentration Performance in Adolescents"
DOI: 10.6084/m9.figshare.25119068.v5
title: <b>Weight Gain and Loss Associated with Antidepressants</b>: labeled patient testimonials

description: dataset of 8,000 user-generated comments regarding 32 FDA-approved antidepressants was compiled from healthcare social media platforms. The specific antidepressant drug associated to the mentioned by the user. Indicators of body weight alterations were encoded as 1 for weight gain, 2 for weight loss, or 0 in the absence of any reference to weight change.The annotation was performed by ten operators, including two pharmacists, a general practitioner, two pharmacy students and five non-drug experts.