cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/y7ydsj63p4
title: PancreasMRData

description: Pancreatic assessment through magnetic resonance imaging (MRI) has become increasingly vital for diagnosing anomalies and pathologies, serving as a crucial prerequisite for numerous clinical applications, including diabetes inspection and surgical planning. However, automating pancreas segmentation in medical images remains a formidable challenge. In this paper, we introduce an innovative automated pancreas segmentation approach for MRI images utilizing 2D deep learning. Our methodology employs U-Net, ResU-Net, and nnU-Net architectures, capable of segmenting diverse pancreas samples and identifying pancreas presence/absence in adjacent slices, eliminating the need for manual region of interest or slice selection. Furthermore, we provide a unique and freely available dataset comprising MRI images from 37 patients post-bariatric surgery, greatly enhancing reproducibility and accessibility for AI model development. Our results demonstrate ResU-Net's superior performance with a Dice coefficient of 77.6% (36.55%), and Jaccard index of 69.36% (40.19%). Additionally, we offer a comprehensive critical analysis of the quantification of fatty infiltration, shedding light on potential biases when choosing individual models. Our contribution includes not only a high-quality unique dataset but also an automated approach that simplifies pancreas segmentation, advancing the field's research and clinical applications. Overview Pancreatic MRI images hold a large amount of useful information for medical diagnostics and research. In spite of this, segmenting these images, particularly in order to quantify fat fractions, can be challenging. A complex task is made more challenging by the unique nuances of the pancreas, along with the presence of surrounding fat and exclusions of the pancreatic duct. To advance research in this area, we present the following dataset: 37 Patients: A diverse range of scans that bring forth the variance needed for robust model training. Image Quality Assurance: Every scan of the T1 VIBE DIXON sequence underwent rigorous image quality assessment. Manual Annotations: To save researchers manual labor, the dataset comes with pancreas segmentations, double-checked by seasoned radiologists for accuracy. Motivation This dataset aims to be the bases for researchers looking to pioneer advancements in the area of precise pancreatic fat fraction quantification. Our goal is to provide users with comprehensive, quality-assured collections of images and annotations to enable them to develop innovative solutions, evaluate models, and ultimately improve medical outcomes. Dataset Structure Annotations: Contains annotations for each patient. Data Each patient has a dedicated folder, further divided by the type of MRI sequence. Raw_Dixon_Data: Water and Fat Dixon images, each containing data identified by patient IDs. Preprocessed_dataset: Contains preprocessed data organized by patient IDs.
DOI: 10.6084/m9.figshare.11704491.v7
title: Report of Mutualistic Associations, Nutrients, and Carbon under eCO2 (ROMANCE) v1.0 dataset

description: Data from elevated CO2 experiments on the effect of elevated CO2 on soil carbon storage and plant biomass<br>
DOI: 10.6084/m9.figshare.13788871.v1
title: Sample Data MFC Paper 2

description: 3 x 5-min runs under three different states of consciousness, either awake, sleep deprived (e.g., presence of NREM), and anesthesia (Ketamine/Xylazine).
DOI: 10.6084/m9.figshare.14670558.v1
title: Additional file 1 of Moonlighting protein prediction using physico-chemical and evolutional properties via machine learning methods

description: Additional file 1. Moonlighting proteins sequence. List of moonlighting proteins sequence.
DOI: 10.6084/m9.figshare.21507060.v2
title: The role of grain boundaries in low-temperature plasticity of olivine revealed by nanoindentation

description: Nanoindentation, HR-EBSD and TEM data published in the manuscript titled <em>The role of grain boundaries in low-temperature plasticity of olivine revealed by nanoindentation. </em>The pre-print version of the manuscript can be found at: https://doi.org/10.1002/essoar.10512783.1
DOI: 10.6084/m9.figshare.23586075.v1
title: Preventing cation intermixing enables 50% quantum yield in sub-15 nm short-wave infrared-emitting rare-earth based core-shell nanocrystals

description: Source data supporting the findings published in: " Preventing cation intermixing enables 50% quantum yield in sub-15 nm short-wave infrared-emitting rare-earth based core-shell nanocrystals " <br> <br>
DOI: 10.6084/m9.figshare.26028955.v3
title: <b>Global property rights and land use efficiency</b>

description: Data from "Global property rights and land use efficiency"
DOI: 10.6084/m9.figshare.9976103.v1
title: Morphological data of Mangrove warbler in Costa Rica

description: Morphological data of Mangrove warbler populations along an environmental gradient in Costa Rica
DOI: 10.17632/28j7h3ny2w
title: Primary and Clinical Dataset for Genetic Generalized Epilepsy Patients in Pakistan.

description: The study is mainly focused to explore the SCN1A gene polymorphism and their alignment with the clinical data of Genetic Generalized Epilepsy Patients in Pakistan
DOI: 10.6084/m9.figshare.12676157.v1
title: Tabla 2: Nivel de apertura de los elementos de diseño PEA (I Iteración)

description: Sintetiza el análisis del nivel de apertura, - bajo (B), medio (M) o alto (A), - siguiendo los parámetros de Ehlers (2010) y Zijdemans (2014) para cada uno de los elementos de diseño en los cuatro escenarios de PEA diseñados. <br>
DOI: 10.6084/m9.figshare.14390873.v1
title: Supplementary data for: "Plastic Pollution in the World's Oceans: More than 5 Trillion Plastic Pieces Weighing over 250,000 Tons Afloat at Sea"

description: The raster geotiff files contain the numerical model outputs for weight and count density for the four size classes investigated in the study by Eriksent et al. (2014) and expressed in order of magnitude (log10 scale).<br><br>Eriksen et al. 2014Plastic Pollution in the World's Oceans: More than 5 Trillion Plastic Pieces Weighing over 250,000 Tons Afloat at Sea<br>https://doi.org/10.1371/journal.pone.0111913<br>
DOI: 10.6084/m9.figshare.22265845.v4
title: Annual maps of global urban extents between 1992 to 2020 from SRU-Net NPP-VIIRS-like nighttime light data

description: The dataset contains a consistent annual global urban extents between 1992 to 2020 from SRU-Net NPP-VIIRS-like nighttime light data. The pixel value is 0 or 1. 0 means non-urban, and 1 means urban. Spatial Resolution: 500m Spatial Refrence: North_Pole_Lambert_Azimuthal_Equal_Area Extent: spanning -180 to 180 degrees longitude and -65 to 75 degrees latitude. Each zip file contains an urban extent image in geotiff format. The filename of each image is "UByyyy", where "yyyy" is the year of the image.
DOI: 10.6084/m9.figshare.8135393.v3
title: Supplementary_data

description: Supplementary data to accompany "The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens" (Zhou et al, 2019)
DOI: 10.17632/g5673txbhd
title: CESM 30ka data

description: Data used for an in review publication titled, "Simulating late MIS 3 high latitude connections to an early local LGM in the southern tropical Andes using the Community Earth System Model (CESM)"
DOI: 10.17632/rwbyk5hprm
title: Autistic traits as a potential confounding factor in the relationship between schizotypy and conspiracy beliefs

description: This is the data set associated with the submission "Autistic traits as a potential confounding factor in the relationship between schizotypy and conspiracy beliefs".
DOI: 10.6084/m9.figshare.13619450.v1
title: East Africa Benthic Type Reference Sample

description: This benthic reference data is intended for use as a calibration and/or validation data for global scale remote sensing image based classification of coral reef areas. The data is in a vector shapefile format consisting of polygons labelled with one of seven coral reef benthic classes that include Microalgal Mats, Coral/Algae, Rubble, Rock, Seagrass Dense, Seagrass Sparse, Sand. <b>Please cite data as:</b> Borrego-Acevedo, R., Lyons, M., Canto, R., Harris, D., Kennedy, E., Kovacs , E., Markey, K., Murray, N., Ordonez Alvarez, A., Phinn, S., Roe, M., Roelfsema, C., Say, C., Tudman, P., Wolff, J., Yuwono, D., Bambric, B., Fox, H., Lieb, Z., Asner , G., Knapp , D., Li, J., Harris, B., Larsen, K. & Rice, K. 2020. East Africa Benthic Type Reference Sample. University of Queensland. DOI: https://doi.org/10.6084/m9.figshare.13619450 <b>Links to supplementary information:</b> Mapping methods overview (https://allencoralatlas.org/methods/) UQ mapping team web site (https://www.rsrc.org.au/globalreef) Detailed mapping methods description by Lyons et al. (https://doi.org/10.1002/rse2.157) Detailed classification scheme description by Kennedy et al. (https://doi.org/10.1038/s41597-021-00958-z) Detailed reference creation description workflow by Roelfsema et al. (https://doi.org/10.3389/fmars.2021.643381) <b>Funding:</b> Vulcan Inc., (https://vulcan.com) Great Barrier Reef Foundation (https://www.barrierreef.org/) <b>Acknowledgement:</b> This work was initiated and funded primarily through Paul Allen Philanthropies and Vulcan Inc. as part of the Allen Coral Atlas. We acknowledge the late Paul Allen and Ruth Gates for their fundamental vision and drive to enable us to work together on this critical reef mapping problem. Project partners providing financial, service and personnel include: Planet Inc., National Geographic, University of Queensland, Arizona State University, and University of Hawai'i. Significant support has also been provided by Google Inc., Great Barrier Reef Foundation, and Trimble (Ecognition). Contributors to establishing and running the project include: Vulcan Inc. [James Deutsch, Lauren Kickam, Paulina Gerstner, Charlie Whiton, Kirk Larsen, Sarah Frias Torres, Kyle Rice, Eldan Goldenberg, Janet Greenlee]; Planet Inc. [Andrew Zolli, Trevor McDonald, Joe Mascaro, Joe Kington]; University of Queensland [Chris Roelfsema, Stuart Phinn, Emma Kennedy, Mitch Lyons, Nicholas Murray, Doddy Yuwono, Dan Harris, Eva Kovacs, Rodney Borrego, Meredith Roe, Jeremy Wolff, Kathryn Markey, Alexandra Ordonez, Chantal Say, Paul Tudman]; Arizona State University [Greg Asner, Dave Knapp, Jiwei Li, Yaping Xu, Nick Fabina, Heather D'Angelo]; and National Geographic [Helen Fox, Brianna Bambic, Brian Free, Zoe Lieb] and Great Barrier Reef Foundation [Petra Lundgren, Kirsty Bevan, Sarah Castine]. Attributions of contributed field data or maps for the reference sample creation are available at: https://allencoralatlas.org/attribution/
DOI: 10.6084/m9.figshare.14784588.v3
title: data .sav

description: DATA SPSS
DOI: 10.17632/5nswx78scs
title: New Venture Creation Research Dataset (1985-2020)

description: The new venture creation research and publication dataset, which was indexed by Scopus from 1985 to 2020. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/z4shdktrfz
title: Competition, Access to Finance, and Manufacturing Firm Innovation Behavior

description: This study examines the innovation behavior of manufacturing firms amidst competition from the informal sector and access to finance by Ugandan firms. It further analyzes the capital structure of innovating firms and whether it follows a pecking order. The following research questions are addressed: (1) Does competition from the informal sector affect the manufacturing firm’s innovation behavior? (2) Does the source of financing affect the innovation behavior of manufacturing firms? To answer these questions, the study used data obtained from the World Bank Enterprise Survey (WBES) on Uganda (https://www.enterprisesurveys.org) collected for the year 2013. This survey is the most recent dataset available for Uganda. To access the dataset, you must register with the Enterprise Analysis Unit by completing the Enterprise Surveys Data Access Protocol. 
The WBES collects data on manufacturing firm characteristics in Uganda, including access to finance, informality, innovation, infrastructure, and competition. The WBES methodology comprises a stratified random sampling strategy where the three strata are size, sector, and location. The study population comprises all manufacturing establishments (with &gt;1% private ownership) with more than five employees according to the group classification of ISIC Rev 4. codes 10-33. 
The dependent variable “Innovation” is measured in four main categories of firm innovativeness: product, process, organization, and marketing innovations. For all four measures of innovation, firms responded to questions such as, has the firm introduced new products, processes, organizational, and marketing methods over the last three years with 1(Yes) and 2(No). The main independent variable is financing of the establishment’s working capital. The respondents were required to estimate the working capital financed from; internal funds; borrowed from banks; borrowed from non-bank financial institutions; purchases on credit from suppliers and customer advances; or other money lenders, friends, relatives, etc. 
The study includes other variables that could influence firm innovation as control variables. These include firm size; informality - a variable questioning whether the firm competes against unregistered or informal firms with 1(Yes) and 2(No); R&D expenditure (in-house or contracted) with 1(Yes) and 2(No); whether the firm gave employees time to develop new ideas for product, processes, organizational, or marketing innovation with 1(Yes) and 2(No); and whether the firm formally registered when it began operations with 1(Yes) and 2(No).
Results indicate that competition from the informal sector reduces firm innovation. Internal funds enhance product and process innovation, while non-bank institution financing negatively affects product, organizational, and marketing innovation. The results validate the pecking order theory, indicating firms use internal resources before external sources like debt or equity for innovation funding.
DOI: 10.6084/m9.figshare.14401019.v1
title: Verification of the GNAI1 gene pathogenic variant (NM_002069.6:c.815A&gt;G)

description: Data analysis from WES led to the identification of the <i>GNAI1 </i>gene sequence variant, NM_002069.6:c.815A&gt;G, p.(Asp272Gly). This variant was detected in heterozygous state in probands, but not in their parents. These results were confirmed by Sanger sequencing.
DOI: 10.6084/m9.figshare.16632397.v1
title: SPGC-COVID Dataset

description: The SPGC-COVID dataset contains <b>volumetric chest CT scans of 51 COVID-19, 28 Community Acquired Pneumonia (CAP), and 51 normal cases</b> acquired with various imaging settings from two different medical centres. The SPGC-COVID dataset consists of <b>4 subsets</b> including images with different slice thickness, radiation dose, and noise level. In addition to different technical parameters, the dataset contains CT scans of patients who have <b>heart diseases or have undergone heart surgery</b>, besides having COVID-19 or CAP infections. All CT scans are provided in the standard <b>DICOM</b> format, and the corresponding <b>patient-level labels</b> are provided in 4 separate CSV files.This dataset was used as the test set in the 2021 Signal Processing Grand Challenge (SPGC) on COVID-19 diagnosis, which the authors organized as part of the 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'21).
DOI: 10.6084/m9.figshare.23611533.v1
title: Data source file including all raw GWP data to recreate all Figures (Figures 1 - 4) for the manuscript "<em>Identifying uncertainty in the global warming impacts of biomaterials: An analysis of bio-succinic acid".</em>

description: This data source file includes all the raw GWP data to recreate all Figures (Figures 1 - 4) for the manuscript "<em>Identifying uncertainty in the global warming impacts of biomaterials: An analysis of bio-succinic acid".</em>
DOI: 10.17632/58pjx5vpk2
title: Norovirus outbreaks in long-term care facilities. Catalonia, 2017-2018 CSV Version

description: Dataset about Norovirus outbreaks in Long-Term Care Facilities (LTCF) reported between January 2017 and December 2018 was made in Catalonia, a region in North-western Spain with a population of 7,496,276 in January 2017. Norovirus outbreaks occurring in LTCF confirmed by RTqPCR were included. The numbers of residents and staff, the capacity of the centre and whether transmission was person-to-person or by a common vehicle were collected. A survey was designed for all exposed (affected and unaffected) persons including sociodemographic data, the degree of dependence (estimated using the Barthel index), the medical history, the date and time of symptom onset and the symptoms presented. For staff, information on the type of work was collected. Stool samples were collected to identify the cause of the outbreak. Norovirus was tested for using quantitative reverse transcription PCR (RTqPCR) and identifying the genogroup detected, as described above17. The semi-quantitative value given by the RTqPCR cycle of quantification (Cq) was used to measure the viral load in samples positive for norovirus. Stool samples were obtained from both symptomatic and asymptomatic staff and residents and, in outbreaks where a foodborne transmission was suspected, from food handlers.
DOI: 10.17632/6pjd2wzzcc
title: Historical Data for NIFTY 50

description: NIFTY 50 data For the period 01-01-2020 to 11-08-2020
DOI: 10.17632/gct5jck4z3
title: Planes Atencion en Enfermería PAE Experiencia implementacion Proceso Atencion en Enfermeria PAE Institucion Hospitalaria

description: Se describen los planes de atencion en enfermeria para condiciones de salud especificas desarrollados para la investigacion en formacion al equipo de enfermeria en Proceso de Atencion en Enfermeria -PAE- para una institucion hospitalaria de tercer nivel en la ciudad de bogota colombia.

The file contains tabs for the nursing care plans (NCP) developed according to the type of risk stated. Inside the excel sheets, the following items are described in the header: Risk to Prevent; Domain; Findings; Defining characteristics; Nursing Diagnosis; NOC - Expected Result; NIC - Interventions - Activities.
The nursing care plans for specific health conditions developed for research in training the nursing team in the NCP nursing care process for a third level hospital institution in the city of Bogota, Colombia are described.
DOI: 10.6084/m9.figshare.12543854.v3
title: Data from 'Transnational Plastics: An Australian Case For Global Action'. doi: 10.3389/fenvs.2020.00115

description: This fileset underpins the data analysis described in Galaiduk, R., Lebreton, L., Techera, E. and Reisser, J., 2020. Transnational Plastics: An Australian Case for Global Action. <i>Frontiers in Environmental Science</i>, <i>8</i>, p.115. doi: 10.3389/fenvs.2020.00115<br>For comments/enquiries, please contact r.galaiduk@aims.gov.au
DOI: 10.6084/m9.figshare.24199590.v1
title: Phylogenetic tree

description: Phylogenetic tree of SAR reference sequences and OTUs
DOI: 10.6084/m9.figshare.24331201.v2
title: Dataset for Reference Intervals of Complete Blood Count and Coagulation Tests in Vietnamese Pregnant Women.xlsx

description: Raw data on complete blood count and coagulation test, updated on 18 Oct, 2023. The establishment and use of the database were approved Ethical committee of Hung Vuong Hospital, Vietnam. The data were collected from the pregnant women who visited obstetrics clinic from June 2023 to August 2023. Data on demographic factors, gestational age, vital signs, laboratory measurements were systematically collected.
DOI: 10.6084/m9.figshare.27013810.v1
title: The KEGG and GO results of different expression levels in <i>Salix brachista</i>

description: The KEGG and GO results of diferent expression levels in <i>Salix brachista</i>
DOI: 10.6084/m9.figshare.28938794.v1
title: hcpaTemplateT2.nii.gz

description: HCP aging template T2<br>
DOI: 10.6084/m9.figshare.5259643.v3
title: myDAUN dataset - shrubs

description: Database name: myDAUN dataset - shrubs consist of 45 species of tropical shrubs and 30 samples for each species, in total 1350 sample images of tropical shrub species.
DOI: 10.17632/4m594wzv94
title: Oscillator brackets at non equal particle masses

description: Efficient programs to calculate two-particle oscillator brackets (or Talmi-Moshinsky-Smirnov coefficients) have been constructed recently, Comput. Phys. Comm. 265 (2021) 108005. The corresponding Talmi-Smirnov transformation is mostly performed in case of particles of equal masses and the constructed programs have been tested in detail as to this case. However, it occurred that those programs included a bug revealing itself in case when particle masses are different. The bug is eliminated in the present version of the programs. All the various tests employed previously at equal masses of particles now reproduce the required results for the case of different masses as well.
DOI: 10.17632/bfdsrd22cx
title: High Expression of Sonic Hedgehog Pathway Mediators in Mycosis Fungoides Skin Samples: A Retrospective Analysis

description: Mycosis Fungoides (MF) is characterized by clonal proliferation of CD4+ lymphocytes within the skin. Recent studies report dysregulation of the Sonic Hedgehog (Shh) pathway expressed in neoplastic cells of primary T-cell lymphomas. We aim to assess the expression of Ptch-1, Bcl-2, Smo, and Gli-1, mediators in Shh pathway, in cutaneous biopsies of MF. Biopsies were retrospectively collected at the University of Miami Hospital between 01/2018 and 12/2021, including samples of clinically proven MF, healthy controls (HC), and basal cell carcinoma (BCC) as positive control. Immunohistochemistry was performed using commercially available antibodies, and two-way ANOVA and Tukey’s multiple comparisons test were used to assess statistical significance. 35 biopsy samples, including 19 MF, 12 HC, and 4 BCC were analyzed, and revealed significantly higher expression of Smo, Gli-1, and Bcl-2 in MF biopsies compared to HC, as quantified by the number of positive cells/mm2.Due to the elevated expression of Shh mediators found in MF samples, larger studies are necessary to assess the potential role of the Shh pathway in MF pathogenesis. 

The data contains our supplemental images for Bcl-2 and Ptch-1 immunohistochemistry staining of cutaneous biopsies of MF, HC, and basal cell carcinoma. 

Figure Legends:
Supplemental Figure 1. 1a) Bcl-2 expression was significantly elevated compared to healthy controls. The results were heterogenous among samples, ranging from no expression to as high as 1,500 cells/mm2 1b) Expression was primarily localized to the stratum basale layer of the epidermis in MF samples, leaving the dermis relatively spared. Very few cells stained positive for Bcl-2 among BCC or HC samples, with no statistical significance. 

Supplemental Fig 2. 2a) Ptch-1 expression in MF biopsies was not statistically significant compared to controls. 2b) Ptch-1 was localized sparingly within the papillary dermis and epidermis in MF biopsies. Ptch-1 expression was seen predominantly within the basaloid cells of the basal cell carcinoma (positive controls).