cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13308944.v1
title: Mini-Medical School Programs Decrease Perceived Barriers of Pursuing Medical Careers Among Underrepresented Minority High School Students

description: The percent of underrepresented minority (URM) students who apply to medical school has minimally changed in the past 40 years. Due to the lack of URM applicants, consequent matriculation of URMs is grossly disproportionate from their percent representation of the United States (U.S.) population. Increasing diversity among medical students and physicians has previously been identified as essential to decreasing healthcare disparities among U.S. minorities. Therefore, it is vital to recognize barriers to applying to medical school among URMs. To identify and assess prevalence of barriers, surveys were distributed to participants of MedAchieve, a mini-medical school program of diverse high school students in New York City. Of students who will be first in their immediate family to attend college, 80% perceived a barrier of pursuing medical school. Specified barriers indicated include cost of medical school (77%), lack of guidance/role models (54%), and predicted inability to do well in medical school classes (54%). At the end of the program, a statistically significant reduction in the barrier of lack of guidance/role models was seen. This study highlights the benefit of mini-medical school programs, especially programs with a mentoring component, to decrease perceived barriers of applying to medical school among URMs and suggests the potential role of similar programs to increase diversity in medicine and to decrease healthcare disparities among minorities in the United States.
DOI: 10.6084/m9.figshare.20647788.v1
title: TabRecSet: A Large Scale Dataset for End-to-end Table Recognition in the Wild

description: Version 3 (Alpha version 1). Share same json annotations.
DOI: 10.6084/m9.figshare.25466866.v2
title: <b>Integrating hydrological knowledge into deep learning for DEM super-resolution</b>

description: Deep learning-based super-resolution methods have been successfully applied to DEM downscaling studies by designing structures and loss functions of the model. However, the design of super-resolution models with enhanced performance remains a challenge, particularly in the context of hydrological studies, which require high-resolution DEMs with correct hydrological characteristics. In this study, we introduce a super-resolution model that integrates hydrologic knowledge (HKSRCGAN), aiming for the model to effectively maintain topographic features as well as the hydrologic availability of the DEMs. FABDEM with 30 m spatial resolution，which removes buildings and vegetation, was used in the experiment to demonstrate the usability of the proposed method. The hydrological knowledge derived from surface flow direction and hydrological features are integrated into a deep learning algorithm to guide model training. The results show that the HKSRCGAN outperforms the bicubic interpolation, SRCNN, SRGAN, SRResNet methods in reducing topographic errors and maintaining hydrologic characteristics. In the test area, the entropy difference analysis shows that the DEM generated by HKSRCGAN is more similar to the information contained in the reference DEM. Furthermore, super-resolution models integrating hydrological knowledge are valuable for modeling terrain shaped mainly by gravity and surface water flows. In addition, deep learning-based models integrating hydrologic knowledge are expected to be applied in DEM upscaling to maintain consistent hydrological characteristics.
DOI: 10.6084/m9.figshare.14195681.v2
title: Supplemental File 5. Discharge and Follow-up Care Survey Dataset

description: Survey results from the Pediatric Discharge and Follow-up Care study.
DOI: 10.6084/m9.figshare.28378277.v1
title: Dataset for the Metaanalyis about Staging interval in pivotal studies for oncologic drug authorisation

description: Datasheet for the usage of the meta-analysis:<b> </b><b>Effect of Staging Intervals on Progression-Free Survival in Registration Studies of Oncologic Drugs: A Meta-Analysis</b>
DOI: 10.6084/m9.figshare.16571558.v1
title: Unmanned Aircraft Users in New Zealand

description: This dataset contains participant responses to an online survey (hosted via Qualtrics) of unmanned aircraft users based in New Zealand, which ran from 14th October 2020 until 13th January 2021. It collected 946 responses, however, only 919 are complete enough to be considered as valid responses. These 919 responses are shown in the "Raw Data" sheet, while the 27 that were not complete enough are shown in the "Excluded participants" sheet. The questions are shown in the top row, noting that sometimes exclusion criteria were applied to who got asked which questions. For this reason, the full list of questions with exclusion criteria are shown in the accompanying word document.<br>Participants had to meet the following three recruitment criteria:1. Reside in New Zealand2. Have flown an unmanned aircraft before3. Be 16 years or older<br>This project was peer-reviewed and deemed to be low risk. It was thus registered as such on the Massey University Human Ethics Database.
DOI: 10.6084/m9.figshare.26135008.v1
title: <b>An Open Paradigm Dataset for Intelligent Monitoring of Underground Drilling Scenarios in Coal Mines</b>

description: In the field of coal mine safety monitoring and automation, high-quality and specialized datasets are crucial for the development and validation of artificial intelligence algorithms. Currently, there is no comprehensive benchmark dataset specifically for coal mine industrial scenarios, which significantly limits the research progress of AI algorithms in the coal mining industry. This study has constructed for the first time a benchmark dataset (DsDPM 66) specifically for coal mine heading faces, containing 105,096 images obtained from videos of 66 drilling operation scenes. The dataset has been meticulously annotated manually to suit computer vision tasks such as object detection and pose estimation. In addition, this study conducted extensive benchmarking experiments on this dataset, applying various advanced AI algorithms including but not limited to YOLOv8 and DETR. The experimental results show that the proposed dataset can effectively improve the accuracy of various object detection and pose estimation models in coal mines, filling the data gap in the coal mining field and providing valuable resources for the development of coal mine safety monitoring and automation technologies. Due to storage constraints, the remaining categories of the dataset, including coal_miner, compressed_oxygen_self_rescuer, and mining_helmet, are available at https://doi.org/10.6084/m9.figshare.26135107.v1.
DOI: 10.6084/m9.figshare.5909122.v1
title: epicranialEEG_10rats.zip

description: These data are freely provided for scientific non-profit use, by the Functional Brain Mapping Laboratory of the University of Geneva, Switzerland.<br>When using these data in publications please cite: <br>Plomp, G., Quairiaux, C., Michel, C.M., Astolfi, L., 2014. The physiological plausibility of time-varying Granger-causal modeling: normalization and weighting by spectral power. NeuroImage. doi:10.1016/j.neuroimage.2014.04.016<br><br><br>#---------- Data info<br>10 datasets of EEG recorded from p21 Wistar rats with electrodes positioned on the cranium. <br>These data were originally published in Quairiaux et al. (2010), where a full description of the methods can be found.<br>50 Left/Right (Gauche/Droite, excuse my French) whisker stimulations (some lacking in one animal).<br>Signals were referenced to an electrode placed above the cerebellum, online filtered 1-500 Hz, and digitized at 2 kHz.<br><br>Each directory contains data files from one animal: Epochs for left ('G') and right ('D') stimulation plus an average for each condition.<br>Each file contains 15-channel epicranial EEG, the reference electrode has been removed.<br>Stimulus onset is at time-frame 120.<br>The EEG files (.eph) are plain text files with a header: nr of channels, nr of time frames, sampling rate (Hz).<br>Openable in Cartool software, freely available here: https://sites.google.com/site/fbmlab/cartool<br><br>Electrode layout file: electrodeLayout_15chan.els<br>A text file with 15 electrode coordinates, can be linked to the .eph files for topographic ERP views using Cartool software.<br><br>The electrode layout is shown in rodent_15ch_electrodeLayout_left-right.PNG<br>For left stimuli, e4 is the electrode over contralateral S1, for right stimuli it is e12. <br><br>#---------- Animal names and numbers<br>1. IC070523<br>2. RN060616A<br>3. RN060707A<br>4. RN060707B<br>5. RN060714C<br>6. RN060728A<br>7. RN060728B<br>8. RN0609122<br>9. RN060915A2<br>10. RN070129C2<br><br><br>#---------- References<br>Plomp, G, Quairiaux, C, Michel, CM, Astolfi, L (2014) The physiological plausibility of time-varying Granger-causal modeling: normalization and weighting by spectral power. NeuroImage. doi:10.1016/j.neuroimage.2014.04.016<br>Quairiaux C, Mégevand P, Kiss JZ, Michel CM (2011) Functional development of large-scale sensorimotor cortical networks in the brain. J Neurosci 31:9574–9584.<br><br>
DOI: 10.17632/hs283wnz4x
title: Reinforcing Communication skills using Augmented Reality in the online Language Classroom: An Experimental study amongst STEAM learners’

description: Augmented reality has been used as an additional tool in L2 online classroom amongst STEAM (Science, Technology, Engineering, the Arts and Mathematics) education learners' - An Experimental study. Pre-Test and Post-test were conducted for controlled group and experimental group.
DOI: 10.6084/m9.figshare.7193672.v1
title: Additional file 1: of High throughput small RNA and transcriptome sequencing reveal capacitation-related microRNAs and mRNA in boar sperm

description: Raw and collated data. Table S1. Differential expression of mRNAs between fresh and capacitated boar sperm. Table S2. Differential expression of miRNAs between fresh and capacitated boar sperm. Table S3–1. 69 specifically expressed mRNAs in capacitated boar sperm. Table S3–2. 4554 specifically expressed mRNAs in fresh boar sperm. Table S3–3. 434 co-expressed mRNAs in fresh and capacitated boar sperm. Table S4. 49 miRNAs with higher expression level in boar fresh sperm compared to capacitated sperm. (XLSX 818 kb)
DOI: 10.6084/m9.figshare.1248898.v1
title: Read QC Workflow

description: A workflow for QC-ing reads as per Monaghan et al
DOI: 10.6084/m9.figshare.21657806.v1
title: High-resolution analyses of associations between medications, microbiome and mortality in cancer patients

description: Supplementary data files for a study investigating the associations between medication, microbiome and mortality in cancer patients. <br> <strong>Summary</strong> Discerning the effect of pharmacological exposures on intestinal bacterial communities in cancer patients is challenging. Here, we deconvoluted the relationship between drug exposures and changes in microbial composition by developing and applying a new computational method, PARADIGM (PARameters Associated with DynamIcs of Gut Microbiota), to a large set of longitudinal fecal microbiome profiles with detailed medication-administration records from patients undergoing allogeneic hematopoietic cell transplantation. We observed that several non-antibiotic drugs, including laxatives, antiemetics, and opioids, are associated with increased <em>Enterococcus</em> relative abundance and decreased alpha-diversity. Shotgun metagenomic sequencing further demonstrated subspecies competition, leading to increased dominant strain genetic convergence during allo-HCT that is significantly associated with antibiotic exposures. We integrated drug-microbiome associations to predict clinical outcomes in two validation cohorts on the basis of drug exposures alone, suggesting that this approach can generate biologically and clinically relevant insights on how pharmacological exposures can perturb or preserve microbiota composition.
DOI: 10.6084/m9.figshare.22182307.v1
title: List of articles used in scoping review of literature on care for older persons in Southern Africa.xlsx

description: Database of literature used as part of scoping review published in International Journal of Care and Caring - <em>Production of research in Southern Africa from a political ethics of care perspective: a scoping review and reflection </em>
DOI: 10.6084/m9.figshare.24718101.v1
title: Absher Usability Evaluation Results

description: Comparison of Usability Evaluation Methods For Absher System: Heuristic Evaluation Vs. Cognitive Walkthrough Method
DOI: 10.6084/m9.figshare.28513958.v1
title: AI Meets Citrus Waste: Coffee Bean Processing with Orange Peel Flour data

description: Orange peel represents 50% of the fruit, and more than 124 million tons are consumed worldwide, which represents a worrying contamination problem. This study sought to add this waste as flour in coffee fermentation to enhance the process. Since this is a new alternative in the processing of coffee beans, the study focused on modelling the reducing sugars of coffee fermentation by adding citrus waste to relate artificial intelligence to the practical application of using waste in production processes. Standardised analyses were performed regarding pH (4.86 ± 0.05), humidity (8.17 ± 0.74%), ash content (4 ± 0.03%), and reducing sugars (20.23 ± 0.20 mg/mL), and orange peel flour was added to coffee beans at concentrations of 0, 2, 4, and 6% for solid-state fermentation. The results indicate that the 2% concentration accelerated fermentation times, increased reducing sugars, and maintained favourable sensory qualities in the coffee (flavour profile of delicate fruity and floral notes). Artificial neural networks revealed a strong overall correlation (R2 = 0.866) between pH changes and sugar concentrations throughout the process. This research highlights the potential of utilizing orange peel flour to enhance coffee fermentation, advocating for further investigation into their application across various stages of coffee processing to maximise overall quality and environmental benefits
DOI: 10.6084/m9.figshare.12606080.v1
title: DLS dataset

description: The datasets were used in a published paper, entitled as "Equivalence Testing of Complex Particle Size Distribution Profiles Based on Earth Mover’s Distance".<br>The AAPS Journal (2018) 20:62<br>DOI: 10.1208/s12248-018-0212-y<br>
DOI: 10.6084/m9.figshare.28648607.v1
title: Distribution data of <b>Aedes aegypti</b><b> and </b><b>Aedes albopictus</b>

description: Distribution data of <b>Aedes aegypti</b><b> and </b><b>Aedes albopictus</b>
DOI: 10.17632/8k8xh86tr2
title: Data for: Multiple physical properties of gas hydrate-bearing sediments recovered from Alaska North Slope 2018 Hydrate-01 Stratigraphic Test Well

description: Data set for the manuscript entitled "Multiple physical properties of gas hydrate-bearing sediments recovered from Alaska North Slope 2018 Hydrate-01 Stratigraphic Test Well".
DOI: 10.6084/m9.figshare.21384618.v1
title: Ball-and-stick models of the methane molecule

description: Methane is a group-14 hydride, the simplest alkane, and the main constituent of natural gas. The relative abundance of methane on Earth makes it an economically attractive fuel, although capturing and storing it poses technical challenges due to its gaseous state under normal conditions for temperature and pressure. Methane is a tetrahedral molecule with four equivalent carbon-hydrogen bonds. Its electronic structure is described by four bonding molecular orbitals resulting from the overlap of the valence orbitals on carbon and hydrogen. Methane is an odorless gas and appears to be colorless. It does absorb visible light especially at the red end of the spectrum due to overtone bands, but the effect is only noticeable if the light path is very long. This is what gives Uranus and Neptune their blue or bluish-green colors, as light passes through their atmospheres containing methane and is then scattered back out. Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China
DOI: 10.6084/m9.figshare.28349624.v1
title: Analysis codes of tomato AR scRNA-seq

description: Analysis codes of tomato AR scRNA-seq
DOI: 10.6084/m9.figshare.4214283.v6
title: UMAFall: Fall Detection Dataset (Universidad de Malaga)

description: The files contain the mobility traces generated by a group of 17 experimental subjects that emulated a set of predetermined ADL (Activities of Daily Life) and falls. The traces are aimed at evaluating fall detection algorithms.Several video clips describing the performed movements are also included.If you utilize these data, plese cite the paper:*Casilari, E., Santoyo-Ramón, J. A., & Cano-García, J. M. (2016). Analysis of a smartphone-based architecture with multiple mobility sensors for fall detection. <i>PLoS one</i>, <i>11</i>(12), e0168069.<br>http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0168069<br>
DOI: 10.17632/2s9pkmccx2
title: Data for "The challenge of long-term stroke outcome prediction and how statistical correlates do not imply predictive value"

description: Data for "The challenge of long-term stroke outcome prediction and 
how statistical correlates do not imply predictive value" by Sperber
and colleagues
Online Materials include MATLAB prediction scripts and brain maps
DOI: 10.6084/m9.figshare.23295824.v2
title: Li_2024_GCB

description: The source data of "Globallobal synthesis on the response of soil microbial necromass carbon to climate-smart agriculture ". Climate-smart agriculture (CSA) supports the sustainability of crop production and food security, and benefiting soil carbon storage. Despite the critical importance of microorganisms in the carbon cycle, systematic investigations on the influence of CSA on soil microbial necromass carbon and its driving factors are still limited. We evaluated 472 observations from 73 peer-reviewed articles to show that, compare with conventional practice, CSA generally increased soil microbial necromass carbon concentrations by 18.24%. These benefits to soil microbial necromass carbon, as assessed by amino sugar biomarkers, are complex and influenced by a variety of soil, climatic, spatial, and biological factors. Changes in living microbial biomass is the most significant predictor of total, fungal, and bacterial necromass carbon affected by CSA; in 61.9%–67.3% of paired observations, the CSA measures simultaneously increased living microbial biomass and microbial necromass carbon. Land restoration and nutrient management therein largely promoted microbial necromass carbon storage, while cover crop has a minor effect. Additionally, the effects were directly influenced by elevation and mean annual temperature, and indirectly by soil texture and initial organic carbon content. In the optimal scenario, the potential global carbon accrual rate of CSA through microbial necromass is approximately 980 Mt C yr−1, assuming organic amendment is included following conservation tillage and appropriate land restoration. In conclusion, our study suggests that increasing soil microbial necromass carbon through CSA provides a vital way of mitigating carbon loss. This emphasizes the invisible yet significant influence of soil microbial anabolic activity on global carbon dynamics.
DOI: 10.6084/m9.figshare.27004972.v1
title: Forest density drives survival and trait variation in southern European understorey species: a continental-scale translocation experiment

description: Complete dataset on short-term responses regarding survival and functional traits of southern European forest understorey translocated from high to low altitudes and to northern latitudes beyond their range limits, also accounting for the microclimatic effects of open vs closed forests and forest edge vs core position.
DOI: 10.6084/m9.figshare.7108787.v2
title: Elastic Tensor Data

description: Dataset for prediction of material elastic tensors. Available as Monty Encoder encoded JSON and as CSV. Recommended access method is with the matminer Python package using the datasets module.<br><br>Note on citations: If you found this dataset useful and would like to cite it in your work, please be sure to cite its original sources below rather than or in addition to this page.<br>Dataset described in:<br>de Jong M, Chen W, Angsten T, Jain A, Notestine R, Gamst A, Sluiter M, Ande CK, van der Zwaag S, Plata JJ, Toher C, Curtarolo S, Ceder G, Persson KA, Asta M (2015) Charting the complete elastic properties of inorganic crystalline compounds. Scientific Data 2: 150009. https://doi.org/10.1038/sdata.2015.9<br>Data converted from json file available on Dryad (see references 3-4):<br>de Jong M, Chen W, Angsten T, Jain A, Notestine R, Gamst A, Sluiter M, Ande CK, van der Zwaag S, Plata JJ, Toher C, Curtarolo S, Ceder G, Persson KA, Asta M (2015) Data from: Charting the complete elastic properties of inorganic crystalline compounds. Dryad Digital Repository. https://doi.org/10.5061/dryad.h505v<br>
DOI: 10.6084/m9.figshare.18093263.v1
title: Uttar Pradesh Flood Analysis Data (1953-2017)

description: Uttar Pradesh is home of 31 rivers, out of them Ganga river is the largest one. Uttar Pradesh India is prone to severe floods year after year. Here, is the data of year wise flood events from 1953 to 2017 in Uttar Pradesh. <br>The complete data is publicly available at https://data.gov.in/resources/year-wise-statement-showing-flood-damage-india-uttar-pradesh-madhya-pradesh-and-bihar-1953
DOI: 10.6084/m9.figshare.5664463.v1
title: CARNAVALIZATION OF THE LAW AS A POSSIBLE KEY OF ONE THE GATEWAYS OF THE GREEN HOUSE

description: Literature, like a glass, enables one to see reality from another perspective. The present article will analyze the legal context from the short story "The Alienist", by the Brazilian writer Machado de Assis, first published in 1882. It is intended to problematize the way of producing law, denouncing Common Sense Theoretician of the Jurists and the enclosure of the Right by the dominant paradigm, using the metaphors of that literary work. Obviously, following in the footsteps of Luiz Alberto Warat and in his inspiration in Bakhtinian thought point to the Carnavalization of law as a possible alternative. The method used was the dialectic, placing two distinct universes, literature and law side by side, in order to promote dialogue between these worlds. Thus, the work was structured in two chapters, the first one aimed at a properly literary understanding and the second making the convergence of Machadian literature to law.
DOI: 10.17632/jh8jm8rc95
title: Data collection and Analysis

description: Sets of data collected for the Meta-Analysis of the effects of biochar on soil water properties. For each individual study, the mean of the controls and biochar treatment means were recorded in an Excel sheet (data collection). All data treatment and processing were done using Microsoft Excel 2010. Standardization of the results was done by calculating the effect size (Response ratio). For each tested variable, response ratio &gt; 1 indicated an increase while response ratio &lt; 1 a decrease.