cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8m82npnfts
title: Fenbendazole significantly inhibited the growth and angiogenesis of EMT6 transplanted breast tumors in Mice, and increased antitumor immune responses in the tumor microenvironment

description: Fenbendazole, as a benzimidazole veterinary insecticide, has been found to have good antitumor efficacy in recent years. Our research group has previously confirmed that fenbendazole can inhibit the proliferation of the mouse breast cancer cell EMT6, but its effect in vivo is not clear. The purpose of our experiment is to study the effects of oral fenbendazole on the tumor microenvironment (TME) of transplanted breast tumors in mice. We established a transplanted breast tumor model to clarify the effect of fenbendazole on the growth of transplanted tumors and the changes in angiogenesis and the immune microenvironment in tumors. The results indicated that fenbendazole treatment significantly reduced tumor mass and volume, and the tumor inhibition rate was 69.54%; significantly reduced the microvessel density (MVD) in tumors and the levels of VEGFA and HIF-1α in the tissues; changed the mRNA levels of TNF-α, IFN-γ, CSF-1, TGF-β, IL-10, and CCL2; changed the proportion of cytotoxic T lymphocytes (CTLs), helper T cells (Ths), and natural killer cells (NKs) in peripheral blood, spleens, and tissues; and induced tumor-associated macrophages (TAMs) to become M1-type polarized. Together, fenbendazole significantly inhibited the growth and angiogenesis of EMT6 transplanted breast tumors and increased antitumor immune responses. The finding provides a supporting theory for the treatment and drug screening of tumors in the future.
DOI: 10.6084/m9.figshare.19312367.v1
title: Dataset for visual framing on engagement and pro-environmental action

description: This dataset is associated with the article "Testing the influence of visual framing on engagement and pro-environmental action." It includes observation data from an experiment at the Florida Museum of Natural History in Gainesville, Florida, that tested whether viewing a photography exhibit featuring images of the impacts of marine plastic pollution on ocean ecosystems (negative valence) or images of pristine ocean ecosystems (positive valence) would increase engagement, monetary donations to conservation, and pledges to help protect the ocean from plastic pollution. The dataset includes timing and tracking data, as well as data on pledges and donations made each day of the experiment. The data were collected from May 13th - June 23rd, 2021.
DOI: 10.6084/m9.figshare.25225991.v1
title: NMOSD Prodrome

description: In this study we investigate whether patients with neuromyelitis optica spectrum disorder (NMOSD) experience symptoms in the years before the first NMOSD attack. This is a relevant and timely investigation given evidence of prodromal phases across various neurologic diseases, including MS, although the prodrome has not been previously investigated in NMOSD. Moreover, recent research supports the existence of subclinical and atypical disease activity in NMOSD. These findings may inform efforts to further expand the clinical spectrum of NMOSD and to understand the pathogenesis of NMOSD.
DOI: 10.17632/ynvy7nvp5m
title: Tectonic patterns on Vesta and Ceres revealed by polygonal impact craters

description: The supplementary data contains the mapping shapefiles of polygonal impact craters of Vesta and Ceres for the manuscript, titled "Tectonic patterns on Vesta and Ceres revealed by polygonal impact craters" submitted to Icarus. There are point shapefiles for the craters on Vesta and Ceres with location, crater ID, and classification. The polyline shapefiles are the mapped crater rims, using the methods described in the main text.
DOI: 10.6084/m9.figshare.11363045.v1
title: USHCN_raw

description: Precip and temperature data from from NOAA's public USHCN archive at ftp://ftp.ncdc.noaa.gov/pub/data/ushcn/v2.5/ on 2017-05-21 (ushcn.v2.5.5.20170521). These data are provided for convenience and were not created or altered by the authors. See the references for further information.<br>
DOI: 10.17632/25x46xjyr5
title: Python Jupyter Notebook to Perform Automatic Microscopic Image Analysis by Moving Window Local Fourier Transform and Machine Learning

description: Python Jupyter Notebook together with exemplary images to perform automatic microscopic image analysis using moving window local Fourier Transform and Machine Learning data decomposition using Non-Negative Matrix Factorization (NMF). The number of decomposition components is obtained from prior PCA Scree Plot analysis.

fix for new scikit-learn version 1.1 or above (init of NMF changed)
tested with HyperSpy-bundle 2023.05.16
hyperspy &gt;=1.7.5
DOI: 10.6084/m9.figshare.1226088.v3
title: Experimental Data Set

description: Using two sample method, quadrant and transect tapes. Using the quadrants we will take 5 samples in the forest and 5 in the grasslands. There we will determine the frequency of the plants found in the quadrants and their condition, any clusters they are in and the abundance of other plants around the. Using the transect tape, we will walk along 25 metres, 3 random times in both the forest and the grassland. The plant frequencies, their clusters, condition and the abundance of other plants will be recorded along with their condition. The results will then be compared to our past research.
DOI: 10.6084/m9.figshare.13135019.v1
title: raw data

description: The raw data of TCNQ-CTF include BET, SEM, XRD and XPS.
DOI: 10.6084/m9.figshare.22678129.v2
title: ANPP estimation

description: Data and R codes for the random forest and corrplot package used in Li et al.
DOI: 10.6084/m9.figshare.26662018.v2
title: Examplar_runs_EukPhylo_and_CLoop

description: Exemplar runs for EukPhylo for a small set of GFs, for EukPhylo part 2 and for the Contamination Loop (both Sister removal and for CladeGrabbing), with Inputs, Outputs, command line, and all files needed.
DOI: 10.6084/m9.figshare.26764024.v1
title: Metagenomic analysis of oral phageome associated with periodontitis

description: This research conducted metagenomic analysis of the oral phageome in chronic periodontitis, which not only enhances our understanding of the disease's microbiological underpinnings but also presents tangible opportunities for clinical application. By harnessing the potential of the phageome in the oral cavity, we can envision a future where the prevention and treatment of periodontitis are more precise, effective, and tailored to individual needs.
DOI: 10.6084/m9.figshare.28874204.v1
title: Supplementary Material for: Dose-effect Relationship of Hyperbaric Oxygen Therapy in Rats with Amnestic Mild Cognitive Impairment

description: Background: Amnestic mild cognitive impairment (aMCI) represents an intermediate stage between normal aging and dementia. Hyperbaric oxygen (HBO) therapy, has shown promise in enhancing brain oxygenation and promoting neural stem cell proliferation. 
Methods:80 SD male adult rats were randomly divided into control group, amnestic mild cognitive impairment group(aMCI group) and hyperbaric oxygen group(HBO group).The HBO group was divided into 6 subgroups according to different treatment pressures: 1.6ATA subgroup, 1.8ATA subgroup, 2.0ATA subgroup, 2.2ATA subgroup, 2.5ATA subgroup and 2.8ATA subgroup, with 10 in each group. The HBO group received hyperbaric oxygen therapy at the specified pressure for 60 minutes per day for 5 consecutive days.
Results:After hyperbaric oxygen treatment, compared with the aMCI group, the escape latency of each HBO subgroup was significantly shortened (p&lt;0.001). The 2.0ATA subgroup (p=0.001), 2.2ATA subgroup (p=0.001)and 2.5ATA subgroup ( p=0.002) significantly increased the number of platform crossings.the levels of SOD were significantly increased in1.6ATA subgroup (p=0.019), 1.8ATA subgroup(p =0.003), 2.0ATA subgroup(p=0.010 ) and 2.2ATA group(p=0.016) and MDA contents were significantly decreased in the 1.6ATA subgroup(p=0.015), 1.8ATA subgroup(p =0.012), 2.0ATA subgroup(p=0.002), and 2.2ATA subgroups (p&lt;0.001), and the levels of eNOS were significantly decreased in the 1.8ATA subgroup(p=0.007) and 2.0ATA subgroup (p=0.029),and the expression of nNOS were significantly decreased in the 1.8ATA subgroup (p=0.006),2.0ATA subgroup (p&lt;0.001) and the 2.2ATA subgroup ( p&lt; 0.001).
Conclusions:In aMCI model rats found that HBO treatment at a pressure of 2.0 ATA with a stabilization time of 60 minutes per day for 5 days was the most effective.
DOI: 10.6084/m9.figshare.5701000.v1
title: LAYER_FAVELAS_2015.zip

description: Shapefile do mapeamento das favelas da cidade de São Paulo
DOI: 10.6084/m9.figshare.7577444.v1
title: Electrochromic Semiconductors as Colorimetric SERS Substrates with High Reproducibility and Renewability

description: Electrochromic technology has been actively researched for displays, adjustable mirrors, smart windows, and other cutting-edge applications. However, it has never been proposed to overcome the critical problems in the field of surface-enhanced Raman scattering (SERS). Herein, we demonstrate a generic electrochromic strategy for ensuring the reproducibility and renewability of SERS substrates, which are both scientifically and technically important due to the great need for quantitative analysis, standardized production and low cost in SERS. This color-changing strategy is based on a unique quantitative relationship between the SERS signal amplification and the coloration degree within a certain range, in which the SERS activity of the substrate can be effectively inferred by judging the degree of color change. Our results may provide a first step toward the rational design of electrochromic SERS substrates with a high sensitivity, reproducibility, and renewability.
DOI: 10.17632/7dggbjn5sd
title: BanglaCalamityMMD: A Comprehensive Benchmark Dataset for Multimodal Disaster Identification in the Low-Resource Bangla Language

description: The BanglaCalamityMMD dataset is a comprehensive multimodal resource designed to address the significant gap in disaster identification within Bangla language text. Comprising a total of 7,903 instances spanning eight distinct categories: Landslides, Wildfire, Tropical Storm, Drought, Flood, Earthquake, Human Damage, and Non-Disaster—the dataset is meticulously divided into three subsets: 6,323 instances for training, 790 instances for testing, and 790 instances for validation. This structured division ensures that models can be trained effectively, tested rigorously, and validated accurately, thereby enhancing the overall reliability and applicability of disaster identification systems in Bangla. 
Here is the dataset description for various disaster categories:
 
Category Train Test Validation Total
============================================
Earthquake 800 100 100 1000
Flood 800 100 100 1000
Landslides 803 100 100 1003
Wildfires 720 90 90 900
Tropical Storms 800 100 100 1000
Droughts 800 100 100 1000
Human Damage 800 100 100 1000
Non-Disaster 800 100 100 1000
=============================================
Total 6323 790 790 7903
DOI: 10.17632/rz75w3fkxy
title: Data for: Root cause analysis improved with machine learning for failure analysis in power transformers

description: Health index and power transformers results
DOI: 10.6084/m9.figshare.12593630.v1
title: Supplementary Material for: Magnetic Resonance Spectroscopy following Mild Traumatic Brain Injury: A Systematic Review and Meta-Analysis on the Potential to Detect Posttraumatic Neurodegeneration

description: <b><i>Introduction:</i></b> Traumatic brain injury (TBI) is the most relevant external risk factor for dementia and a major global health burden. Mild TBI (mTBI) contributes to up to 90% of all TBIs, and the classification “<i>mild”</i> often misrepresents the patient’s burden who suffer from neuropsychiatric long-term sequelae. Magnetic resonance spectroscopy (MRS) allows in vivo detection of compromised brain metabolism although it is not routinely used after TBI. <b><i>Objective:</i></b> Thus, we performed a systematic review and meta-analysis to elucidate if MRS has the potential to identify changes in brain metabolism in adult patients after a single mTBI with a negative routine brain scan (CCT and/or MRI scan) compared to aged- and sex-matched healthy controls (HC) during the acute or subacute postinjury phase (≤90 days after mTBI). <b><i>Methods:</i></b> A comprehensive literature search was conducted from the first edition of electronic databases until January 31, 2020. Group analyses were performed per metabolite using a random-effects model. <b><i>Results:</i></b> Four and 2 out of 5,417 articles met the inclusion criteria for the meta-analysis and systematic review, respectively. For the meta-analysis, 50 mTBI patients and 51 HC with a mean age of 31 and 30 years, respectively, were scanned using <i>N</i>-acetyl-aspartate (NAA), a marker for neuronal integrity. Glutamate (Glu), a marker for disturbed brain metabolism, choline (Cho), a marker for increased cell membrane turnover, and creatine (Cr) were used in 2 out of the 4 included articles. Regions of interests were the frontal lobe, the white matter around 1 cm above the lateral ventricles, or the whole brain. NAA was decreased in patients compared to HC with an effect size (ES) of –0.49 (95% CI –1.08 to 0.09), primarily measured in the frontal lobe. Glu was increased in the white matter in 22 mTBI patients compared to 22 HC (ES 0.79; 95% CI 0.17–1.41). Cho was decreased in 31 mTBI patients compared to 31 HC (ES –0.31; 95% CI –0.81 to 0.19). Cr was contradictory and, therefore, potentially not suitable as a reference marker after mTBI. <b><i>Conclusions:</i></b> MRS pinpoints changes in posttraumatic brain metabolism that correlate with cognitive dysfunction and, thus, might possibly help to detect mTBI patients at risk for unfavorable outcome or posttraumatic neurodegeneration early.
DOI: 10.6084/m9.figshare.15022827.v1
title: Dataset from gait analysis data of hip osteoarthritis patients before and 6 month after arthroplasty and asymptomatic volunteers

description: Dataset of ARFF (Weka) Files from gait analysis data of hip osteoarthritis patients before and 6 month after arthroplasty and asymptomatic volunteers<br>A complete description of the volunteers can be found on figshare ID(13655975) at https://doi.org/10.6084/m9.figshare.13655975.v9Complete dataset of C3D files for OsteoArthritis Patients can be found on figshare ID(14420645) at https://doi.org/10.6084/m9.figshare.14420645.v2Complete dataset of C3D files or healthy volunteers can be found on figshare ID(14420756) at https://doi.org/10.6084/m9.figshare.14420756.v2 <br>Arff files could also be downloaded on figshare (https://doi.org/10.6084/m9.figshare.15022827.v1 and https://doi.org/10.6084/m9.figshare.13656233.v4) with label details here (https://doi.org/10.6084/m9.figshare.13656047.v3)
DOI: 10.6084/m9.figshare.20692060.v4
title: Data of GAF-RCNN：Grid attention fusion 3D object detection from point cloud

description: Data of GAF-RCNN：Grid attention fusion 3D object detection from point cloud
DOI: 10.6084/m9.figshare.7330538.v1
title: Human Convalescent Serum Sample after WNV seroconversion.

description: Human Convalescent Serum Sample collected after WNV seroconversion.
DOI: 10.15468/dl.z6363z
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sagamichthys schnakenbecki (Krefft, 1953)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((47.4981 -25.2951,47.5481 -25.1504,44.9648 -25.1504,44.9648 -26.0621,45.53 -26.0805,46.4427 -25.6738,46.9062 -25.6462,47.4981 -25.2951))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013200-250525065834625/datasets/export for details.
DOI: 10.17632/mp5shwb237
title: assessment of many WQI models and development of new models

description: Water quality index (WQI) is a widely used term to assess water quality. In all WQI models, selected parameters data are transformed into many steps to a single number. Since the work of Horton (1965), a lot of WQI models have been developed. However, all models suffer from many problems such as they are developed based on site-specific standards for a particular region and they give eclipsing, dichotomous, ambiguity, rigidity, and uncertainty.
 In the present work, many logical conditions are set to test many applicable WQI models. The results showed that all of the tested models failed to pass the test. There is a need for universal WQI that can be applied universally covering different uses of water and at the same time can pass the above logical conditions. The present work aims to develop such a model. New four WQI models (referred to as M1WQI, M2WQI, M3WQI, and M4WQI) are developed in this work and it is found that it passed all of the set conditions. Moreover, it can be applied universally (regardless of the standard used) and for any purpose of water use (drinking, recreational, irrigation, industrial)
DOI: 10.6084/m9.figshare.13119842.v1
title: Locoselli_et_al_2020_Global tree-ring analysis reveals rapid decrease in tropical tree longevity with temperature_PNAS

description: Dataset and R code associated with Locosselli et al. 2020, Global tree-ring analysis reveals rapid decrease in tropical tree longevity with temperature. Proceedings of the National Academy of Sciences (PNAS)
DOI: 10.6084/m9.figshare.20321794.v1
title: MAU leo from Neo-taphonomic analysis of the misiam leopard lair from Olduvai gorge (Tanzania): understanding leopard–hyena interactions in open settings

description: MAU data for the hyena and felid assemblages and Misiam for UMAP analysis
DOI: 10.6084/m9.figshare.25721907.v1
title: Suspended sediment and POC data

description: sediment and carbon data from the Third Pole’s permafrost region
DOI: 10.6084/m9.figshare.3425729.v2
title: Investigation into the number of desktop items on University staff computers, broken down by department and operating system.

description: This study investigates the desktop clutter of University staff broken down by department and operating system, initial data collection began in November 2015 through the use of a Google Form (a copy is attached as DesktopItems_SurveyJune2016). The first data deposit was made in June 2016, future deposits will be made available as more data is collected.Note that coordinates for Universities were found by a maps.google.com in June 2016 and should be considered informative rather than precise.<br>If you would like to contribute to this dataset and work in a University please do fill in the survey here: http://goo.gl/forms/IehEi6dyCEBIlbXW2<br>
DOI: 10.6084/m9.figshare.7594571.v1
title: High-throughput discovery of topological materials using spin-orbit spillage

description: We present the results of a high-throughput, first principles search for topological materials based on identifying materials with band inversion induced by spin-orbit coupling. Out of the currently available 30000 materials in our database, we investigate more than 4835 non-magnetic materials having heavy atoms and low bandgaps. We compute the spillage between the spin-orbit and non-spin-orbit wave functions, resulting in more than 1868 high-spillage candidate materials. We demonstrate that in addition to Z<sub>2</sub> topological insulators, this screening method successfully identifies many semimetals and topological crystalline insulators. Our approach is applicable to the investigation of disordered or distorted as well as magnetic materials, because it is not based on symmetry considerations. After our first screening step, we use Wannier-interpolation to calculate the topological invariants and to search for band crossings. We discuss some individual example materials, as well as trends throughout our dataset, available at the JARVIS-DFT website: https://jarvis.nist.gov/.
DOI: 10.17632/849vhhw6w3
title: Data for: Theory of mind, language, and reading: Developmental relations from early childhood to early adolescence.

description: The dataset includes data of a subsample of the German longitudinal study BiKS 3-13 of Wave 1,5,11, and 12 (age 3;8 years; 5;8 years; 12;8 years, and 13;7 years) and refers to the manuscript "Theory of mind, language, and reading: Developmental relations from early childhood to early adolescence.". It includes measures of children’s age, sex, theory of mind, language competencies, nonverbal cognitive abilities, working memory, family HISEI, and language background. Study Design: In the present study, we included a subsample of a German longitudinal study. This subsample was tested in ToM at Wave 5 of the more comprehensive study. We also encompassed measures of children’s language competencies, nonverbal cognitive abilities and working memory at Wave 1 as baseline measures. Wave 1 took place 2 years earlier than Wave 5 in the year 2005. We further encompassed measures of Wave 11 and 12 that took place 7 and 8 years after Wave 5. At Wave 11 we included a measure of children’s advanced ToM and at Wave 12 for children’s oral text comprehension and reading comprehension
DOI: 10.17632/8th5428b7n
title: Data for: A cross-cultural study of the intention to use mobile banking between Lebanese and British consumers: Extending UTAUT2 with security, privacy and trust

description: Data were collected from Lebanon and the UK about mobile banking adoption
DOI: 10.17632/dyt4nkp583
title: Dataset of tree canopy structure and variation in understory composition in a boreal forest site

description: This dataset is supplementary data for two journal publications. Two files, named “Raw.csv” and “Processed.csv” are provided. The “Processed.csv” was used as such in paper [1], which contains related interpretations, background and conclusions related to the data. The “Raw.csv” contain raw data and the accompanying Data in brief data article [2] describes the applied data collection methods and procedures. See further detail from the related articles. [1] Majasalmi T., & Rautiainen, M.A. 2020. The impact of tree canopy structure on understory variation in a boreal forest. Forest Ecology and Management (2020). [2] Majasalmi T., & Rautiainen, M.A. 2020. Dataset of tree canopy structure and variation in understory composition in a boreal forest site. Data in Brief (2020). Data content in short: In “Processed.csv”, for each plot, the mean understory composition is calculated, assuming the upper understory to overlay equally the lower understory components. In addition, LAI is shoot-level clumping corrected LAI, as opposed to the effective LAI, which is the direct output of the LAI-2000 device. In addition, tree species shares of total plot basal area (BA, m2/ha), are included in “Processed.csv”. The raw data file “Raw.csv” contains, for each plot, vertical cover fractions of both upper and lower understory layers separately for sub-plots (named “p1_” and “p2_” followed by cover fraction component name) as they were measured in the field conditions. LAI in this file is the effective LAI, which is the direct output of the LAI-2000 device. In addition, basal areas of tree species and/or number of tree stems per hectare is provided.