cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28613375.v1
title: Supplementary Material for: Exploring the characteristics of infants that influence their number of transfusions using a multivariable multiclassification model: a retrospective study

description: Introduction: Factors that influence neonatal transfusions are poorly understood because of individual variations in birth conditions and maternal complications during pregnancy. This study aimed to establish models that incorporate perinatal factors associated with the early prediction and timely management of conditions of infants that require transfusion. 
Methods: Data were collected from electronic medical records. Infants were categorized into non-transfusion, one transfusion, two transfusions, three transfusions, four transfusions, and more than four transfusions groups based on transfusions performed during hospitalization. Models were constructed to predict the number of transfusions needed by the infants using variables that showed significant differences among different transfusion groups based on multivariable, random forest, and gradient-boosting tree multiclassification tasks. 
Results: Underweight status, premature birth, Apgar scores at 1 min, 5 min, and 10 min, and gestational diabetes mellitus impacted the number of transfusions required by infants. The weighted macro-average area under the curve (AUC) values of three models constructed using previously mentioned variables were as follows: multivariable multiclassification model, AUC=0.6549/0.7282/0.7379 on training/testing/validation sets; random forest multiclassification model, AUC=0.8037/0.7628/0.7985 on training/testing/validation sets; and gradient boosting tree multiclassification model, AUC=0.7422/0.7038/0.7488 on training/testing/validation sets. The weighted macro-average AUC of the three models constructed using Apgar scores were as follows: multivariable multiclassification model, AUC=0.6425/0.7044/0.7379 on training/testing/validation sets; random forest multiclassification model, AUC=0.7659/0.7662/0.7985 on training/testing/validation sets; and gradient boosting tree multiclassification model, AUC=0.6559/0.6251/0.7488 on training/testing/validation sets. 
Conclusion: Apgar scores at 1 min, 5 min, and 10 min may be preliminary predictive factors that could be used to implement early transfusion strategies for infants after birth. Because of the limitations of the data volume, variable selection, and model performance evaluation, further optimization and improvements are necessary to develop accurate blood transfusion prediction models for infants.
DOI: 10.17632/ctmhmw7ncj
title: Data for: Paired bulk organic and individual amino acid δ15N analyses of bivalve shell periostracum: A paleoceanographic proxy for water source variability and nitrogen cycling processes

description: Bulk isotope and CSIA-AA nitrogen isotope data as well as amino acid concentration data for the manuscript entitled "Paired bulk organic and individual amino acid d15N analyses of bivalve shell periostracum: A paleoceanographic proxy for water source variability and nitrogen cycling processes".
DOI: 10.6084/m9.figshare.11323121.v4
title: Pair-wise antigenic distance for IBV

description: pair-wise antigenic distance for IBV
DOI: 10.17632/646959jvzz
title: Data for: Citizen science data are a reliable complement to quantitative ecological assessments in urban rivers

description: This data set contains the invertebrate assemblage information from the study by Krabbenhoft and Kashian. Quantitative data are from mean abundances of three replicate Hess stream bottom samples at each site. Volunteer data were produced by citizen science events coordinated by nonprofit organizations, Friends of the Rouge and the Clinton River Watershed Council.
DOI: 10.6084/m9.figshare.20523648.v1
title: Blue whale foraging and movement ecology

description: This archive contains data used in a study of the movement and foraging ecology of blue whales in the eastern North Pacific, specifically the Monterey Bay region off central California, USA. The study was published in Ecology Letters in 2022 and is entitled, “Oceanic giants dance to atmospheric rhythms: Ephemeral wind-driven resource tracking by blue whales.” As of this writing, the article does not yet have a DOI. <br> The published analyses were conducted in MATLAB. However, to make the data and reproducibility of analyses more widely accessible, both data and processing code have been translated into R for this archive. <br> 1) Acoustic vector sensor (AVS) data from the MARS observatory Annual periods of blue whale acoustic presence were analyzed across two years to examine the directional distribution of whale call origin around the MARS cabled observatory. Quality controlled data include the time, bearing, and call index of all manually validated seconds for which the blue whale B-call index exceeded a value of 1.25. Analysis results from these data appear in Figures 4 and 5 of the paper. The data files are AVS_2019-2020.RData and AVS_2020-2021.RData, and the example processing code is AVSprocessing.R. <br> 2) Modeled received levels at the MARS observatory The geographic domain over which received signal is sufficient to reliably estimate the direction of blue whale B-call origin from the MARS cabled observatory was approximated by modeling of acoustic transmission loss. These data appear in Figure 2C of the paper. Model results represent received level (underwater dB) at the MARS cabled observatory, assuming appropriately specified intensity, depth, and frequency of the sound source (blue whale B call) and oceanographic physical conditions during the time of year when blue whale calling is most active in the study region. The data file is ModeledReceivedLevel.RData, and the example processing code is ModeledReceivedLevelPlot.R. <br> 3) Animal-borne tag data Data from a biologging tag deployed on a blue whale were used to validate an acoustic vector sensor on the MARS observatory. These data appear in Figure 3 of the paper and include information about whale behaviors (diving, calling, lunge feeding) and surface position from GPS. In addition to data on identified behavioral events, underlying hydrophone and accelerometer data used to identify behaviors during the period of matchup with MARS AVS data are included. The data file is Tag_bw191101-70.RData, and the example processing code is Tag_bw191101-70plot.R. <br> 4) Forage species aggregation data The area scattering (sa) within forage species’ patches in the upper 200 m above the MARS observatory, presented in Figure 5E of the paper, are in the file MARS_sa.RData.
DOI: 10.6084/m9.figshare.22315177.v1
title: Twitter Responses to ChatGPT in Marketing Spaces (January 21-25)

description: We aggregated a Twitter dataset utilizing Twitter Archiving Google Sheet (TAGS) to interact with Twitter’s API and return relevant data. To analyze the marketing side of the conversation around ChatGPT, we selected #ChatGPT as a common hashtag to target tweets talking about AI. This is the marketing dataset, so we included hashtags “marketing”, “content creation”, or “creator economy” as content creation is a field heavily impacted by ChatGPT’s writing capabilities as a chatbot and creator economy is a common word used by experts to describe the overarching industry. This would give us a more specific dataset to analyze what people well-versed in marketing, ChatGPT’s ideal audience, thought about AI’s role in marketing. Because of the TAGS limitation, our dataset was limited to tweets ranging from January 21st to January 25th for both datasets.
DOI: 10.6084/m9.figshare.14258498.v1
title: Supplementary Material for: Global Epidemiology of End-Stage Kidney Disease and Disparities in Kidney Replacement Therapy

description: <b><i>Background:</i></b> The global epidemiology of end-stage kidney disease (ESKD) reflects each nation’s unique genetic, environmental, lifestyle, and sociodemographic characteristics. The response to ESKD, particularly regarding kidney replacement therapy (KRT), depends on local disease burden, culture, and socioeconomics. Here, we explore geographic variation and global trends in ESKD incidence and prevalence and examine variations in KRT modality, practice patterns, and mortality. We conclude with a discussion on disparities in access to KRT and strategies to reduce ESKD global burden and to improve access to treatment in low- and middle-income countries (LMICs). <b><i>Summary:</i></b> From 2003 to 2016, incidence rates of treated ESKD were relatively stable in many higher income countries but rose substantially predominantly in East and Southeast Asia. The prevalence of treated ESKD has increased worldwide, likely due to improving ESKD survival, population demographic shifts, higher prevalence of ESKD risk factors, and increasing KRT access in countries with growing economies. Unadjusted 5-year survival of ESKD patients on KRT was 41% in the USA, 48% in Europe, and 60% in Japan. Dialysis is the predominant KRT in most countries, with hemodialysis being the most common modality. Variations in dialysis practice patterns account for some of the differences in survival outcomes globally. Worldwide, there is a greater prevalence of KRT at higher income levels, and the number of people who die prematurely because of lack of KRT access is estimated at up to 3 times higher than the number who receive treatment. <b><i>Key Messages:</i></b> Many people worldwide in need of KRT as a life-sustaining treatment do not receive it, mostly in LMICs where health care resources are severely limited. This large treatment gap demands a focus on population-based prevention strategies and development of affordable and cost-effective KRT. Achieving global equity in KRT access will require concerted efforts in advocating effective public policy, health care delivery, workforce capacity, education, research, and support from the government, private sector, nongovernmental, and professional organizations.
DOI: 10.6084/m9.figshare.8148746.v1
title: Supplementary material for the article entitled "The advertisement call of Allobates niputidea (Anura: Aromobatidae)"

description: Supplementary materials for the article entitled "The advertisement call of Allobates niputidea (Anura: Aromobatidae)". This includes one table and two figures. The table shows the measured traits for Allobates niputidea, and a review of those traits in other Allobates species in Colombia, and Colostethus inguinalis (sympatric species) for comparison. In the figure 1, we present the distribution of A. niputidea in Colombia and the study area. In the figure 2, we present the structure of a complete call of A. niputidea. Additionally, we include a pdf with the legends of these supplementary materials and references.
DOI: 10.6084/m9.figshare.25585017.v2
title: Photo apps data of Austrian butterflies

description: The currently observed declines in insect diversity and abundance, and the resulting changes in species composition have highlighted the need to establish a standardized and comprehensive biodiversity monitoring system across Europe and the world. However, respective standardized collections and time series to trace these changes are still largely lacking. Extensive observation data on plants and animals are currently compiled through the development and use of various photo apps. Here, we provide faunistic data on butterflies from Austria to compare the completeness and spatial distribution of butterfly records stored in the <i>Global Biodiversity Information Facility </i>with three popular photo app-based initiatives for nature monitoring, <i>Blühendes Österreich</i>, <i>iNaturalist</i>, and <i>observation.org</i>. Observed species richness and the spatial distribution of records across Austrian Federal States strongly varies among the photo apps. <i>Blühendes Österreich </i>depicted the lowest number of species (152 out of record Austrian 216 species) with the highest number of records, while <i>iNaturalist</i> (180) and <i>observation.org</i> (182) returned more species. Apparently, behaviour of the users strongly differed between the photo apps. Our study indicate that the users of a photo app and also GBIF bias the information on biodiversity recording.
DOI: 10.6084/m9.figshare.26014840.v5
title: Ruiz et al. (2024) - Fish eDNA metabarcodes' taxonomic resolution

description: Even though environmental DNA (eDNA) metabarcoding is revolutionizing biomonitoring, many critical steps remain unstandardized, leading to arbitrary choices, which is particularly critical for metabarcodes as well as clustering methods and similarity thresholds choices. For fishes, current in silico comparisons have generally focused on primer sets properties, but few have compared the taxonomic resolution for a comprehensive set of metabarcodes while more than 20 exist. In addition, these studies were hampered by genetic database biases and unstandardized taxonomic resolution definitions. To overcome these issues, we developed a robust framework to compare metabarcodes extracted from the same mitogenomes (all available for Actinopterygians in NCBI) to a standardized taxonomic reference baseline based on COI Barcode Index Numbers (BINs), allowing to quantify separately false-positive (same taxon splitting) and false-negative (different taxa merging). Although each metabarcode exhibited various sensitivities to false-negative or false-positive errors and there were differences between clustering methods, the clustering threshold appears as the most important factor influencing biodiversity estimates, leading us to propose optimal thresholds per metabarcode for taxonomic levels delineation (metabarcode gaps). In addition, we also found that taxonomic resolution significantly varied among genes, orders, and community properties (diversity/redundancy), but not with metabarcodes lengths as previously thought. Overall, our study suggests that the metabarcode and clustering threshold must be chosen to minimize false-negatives and/or false-positives along with providing accurate lower taxonomic delineations. A set of commented R functions makes this taxonomic resolution evaluation framework easy to apply to any other taxonomic group and full genes or mitogenomes reference database.
DOI: 10.6084/m9.figshare.27021838.v1
title: adata_pancreas_scvelo.h5ad

description: Anndata object containing the processed scRNA-seq data for the mouse pancreas case study in the manuscript Mahajan, Tarun, and Sergei Maslov. "noSpliceVelo infers gene expression dynamics without separating unspliced and spliced transcripts." bioRxiv (2024): 2024-08.
DOI: 10.6084/m9.figshare.17153315.v1
title: Academic library journal data

description: 87 journals within the field of academic librarianship were analyzed, and data for the following fields were collected and are included in this dataset:- first year of publication- indexing- impact factor- available metrics- open access (OA) status- acceptance rate- publisher
DOI: 10.6084/m9.figshare.19164389.v1
title: S2 Data File

description: hydrological data (S2 Data File)
DOI: 10.6084/m9.figshare.28657226.v1
title: Additional file 2 of An international comparison of longitudinal health data collected on long COVID in nine high income countries: a qualitative data analysis

description: Supplementary Material 2.
DOI: 10.6084/m9.figshare.5345437.v1
title: 2838315.mp4

description: Polarization imaging: three polarization films with different directions were placed on the large polarization film and imaged on the polarization imaging camera.
DOI: 10.17632/wxwv8d4jt3
title: A SHIFT IN ONLINE BUYING PERCEPTIONS POST PANDEMIC: A Dataset on the Most Influencing Factors in Indian Context

description: The data set consists of information regarding buying behavior of respondents with respect to online and offline shopping.
DOI: 10.6084/m9.figshare.3516764.v1
title: Appendix C. Methodological details of Zonation implementation.

description: Methodological details of Zonation implementation.
DOI: 10.6084/m9.figshare.28083278.v1
title: Geographic Profiling of Psychosis Prevalence by Ethnic Group: An Application of Ecological Inference to London Neighbourhoods

description: EcologIcal inference to estimate neighbourhood level ethnic relativities in psychosis prevalence - study is for LSOAs in London, UK
DOI: 10.6084/m9.figshare.3515309.v1
title: Appendix D. Multiple linear regressions of number of alien species, invasion index and proportion of honey bees on the area of the focal sierra and proximity to other sierras.

description: Multiple linear regressions of number of alien species, invasion index and proportion of honey bees on the area of the focal sierra and proximity to other sierras.
DOI: 10.6084/m9.figshare.7793807.v1
title: Fasting Values of Glucose, NEFA, Insulin, C-Peptide, and Glucagon During Sleep Restriction

description: Fasting Values of Glucose, Insulin, C-Peptide, NEFA, and Glucagon by Condition. Values are reported as mean (SD) for fasting time points (minutes -15 through 0). Fasting c-peptide was significantly suppressed by sleep restriction (p = 0.05) and the recovery condition (p = 0.02) compared to baseline.
DOI: 10.6084/m9.figshare.20105180.v1
title: Compressed nexus alignment for 270 samples

description: Nucleotide sequence alignment in nexus format for all 270 samples and all loci
DOI: 10.6084/m9.figshare.25115303.v1
title: soil data

description: Soil data involved in microbial biomass and soil functions
DOI: 10.6084/m9.figshare.28630109.v1
title: Additional file 7 of Non-communicable diseases, psychosocial wellbeing, and quality of life in Ga Mashie, Accra, Ghana: analysis from a community-based cross-sectional study

description: Supplementary Material 7: Additional file 7: Models for WHO-QOL Domain 4 score: Environmental, controlling for demographic factors; Description of data: Full model results for the outcome of environmental domain scores of QoL for select NCD categories compared to the healthy group.
DOI: 10.6084/m9.figshare.22272997.v2
title: Coding spreadsheet and additional information.xlsx

description: This is the data set of the empirical studies that I reviewed for my study of systematic analysis. The dataset includes 40 studies that examined formal leadership development pograms for college students. I coded those studies on this spreadsheet, which was the basis of my findings. This spreadsheet also includes several tables that help readers better understand the article findings.
DOI: 10.17632/m7tpzttyjx
title: Rapid compensatory evolution can rescue low fitness symbioses following partner-switching

description: This data accompanies the publication 'Rapid compensatory evolution can rescue low fitness symbioses following partner-switching'. As preprint: https://doi.org/10.1101/2020.11.06.371401 As a publication: https://doi.org/10.1016/j.cub.2021.06.034
DOI: 10.6084/m9.figshare.22363012.v3
title: FracAtlas

description: FractureAtlas is a musculoskeletal bone fracture dataset with annotations for deep learning tasks like classification, localization and segmentation. The dataset contains a total of 4,083 X-Ray images with annotation in COCO, VGG, YOLO and Pascal VOC format. This dataset is made freely available for any purpose. The data provided within this work are free to copy, share or redistribute in any medium or format. The data might be adapted, remixed, transformed, and built upon. The dataset is licensed under a CC-BY 4.0 license. It should be noted that to use the dataset correctly, one needs to have knowledge of medical and radiology fields to understand the results and make conclusions based on the dataset. It's also important to consider the possibility of labeling errors. Furthermore, any publication that utilizes this resource should acknowledge the original paper, and the authors are encouraged to share their code and models to assist the research community in replicating the experiments and promoting the field of medical imaging.
DOI: 10.6084/m9.figshare.25680522.v1
title: Supplementary Material for: Transcription Factor ETV4 Activates AURKA to Promote PD-L1 Expression and Mediate Immune Escape in Lung Adenocarcinoma

description: Introduction: The occurrence and progression of lung adenocarcinoma (LUAD) impair T-cell immune responses, causing immune escape and subsequently affecting the efficacy of immunotherapy in patients. Aurora kinase A (AURKA) is upregulated in varying cancers, but its role in LUAD immune escape is elusive. This work attempted to explore molecular mechanisms of AURKA regulation in LUAD immune escape.
Methods: Through bioinformatics analysis, AURKA level in LUAD was evaluated, and potential upstream transcription factors of AURKA were predicted using hTFtarget. ETS variant transcription factor 4 (ETV4) expression in LUAD was analyzed through The Cancer Genome Atlas (TCGA). Pearson correlation analysis was then utilized to test correlation between AURKA and ETV4. Interaction and binding between AURKA and ETV4 were validated through dual-luciferase assay and chromatin immunoprecipitation. qRT-PCR tested relative mRNA expression of AURKA and ETV4 in LUAD cells, Cell Counting Kit-8 assayed cell viability, and western blot analysis was conducted to determine protein level of programmed death-ligand 1 (PD-L1). Co-culture of LUAD cells with activated CD8+ T cells was carried out, and LDH assay was used to assess cytotoxicity of CD8+ T cells against LUAD cells. Interferon-γ (IFN-γ), Interleukin-2 (IL-2), and tumor necrosis factor-α (TNF-α) levels in the co-culture system were assessed by enzyme-linked immunosorbent assay (ELISA). Western blot assessed protein levels of JAK2, p-JAK2, STAT3, and p-STAT3.
Results: Compared to normal tissues, AURKA and ETV4 were upregulated in tumor tissues, and AURKA presented a negative association with CD8+ T cell immune infiltration but a positive association with PD-L1. qRT-PCR unveiled significantly upregulated mRNA of AURKA and ETV4 in LUAD cells compared to normal lung epithelial cells. Knockdown of AURKA significantly decreased cell viability and PD-L1 protein level in LUAD cells, enhanced cytotoxicity of CD8+ T cells against LUAD cells and IFN-γ, IL-2, and TNF-α expression, while overexpression of AURKA yielded opposite results. Furthermore, knockdown of ETV4 could reverse the oncogenic characteristics of cells caused by AURKA overexpression.
Conclusion: Our study illustrated that ETV4/AURKA axis promoted PD-L1 expression, suppressed CD8+ T cell activity, and mediated immune escape in LUAD by regulating the JAK2/STAT3 signaling pathway.
DOI: 10.6084/m9.figshare.4499264.v1
title: PlosOne paper

description: Data of the PlosOne Paper "Evaluation of a gaze-controlled vision enhancement system for reading in visually impaired people".<br>
DOI: 10.6084/m9.figshare.7336331.v1
title: Hypertension in patients on dialysis: diagnosis, mechanisms, and management

description: Abstract Hypertension (blood pressure &gt; 140/90 mm Hg) is very common in patients undergoing regular dialysis, with a prevalence of 70-80%, and only the minority has adequate blood pressure (BP) control. In contrast to the unclear association of predialytic BP recordings with cardiovascular mortality, prospective studies showed that interdialytic BP, recorded as home BP or by ambulatory blood pressure monitoring in hemodialysis patients, associates more closely with mortality and cardiovascular events. Although BP is measured frequently in the dialysis treatment environment, aspects related to the measurement technique traditionally employed may be unsatisfactory. Several other tools are now available and being used in clinical trials and in clinical practice to evaluate and treat elevated BP in chronic kidney disease (CKD) patients. While we wait for the ongoing review of the CKD Blood Pressure KIDGO guidelines, there is no guideline for the dialysis population addressing this important issue. Thus, the objective of this review is to provide a critical analysis of the information available on the epidemiology, pathogenic mechanisms, and the main pillars involved in the management of blood pressure in stage 5-D CKD, based on current knowledge.