cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rjpjyykxvf
title: Forcecasted MSW generation and Economic damage in SSA

description: This data is related to the research paper, "Mitigating greenhouse gas emissions from municipal solid waste in Sub-Saharan Africa via sustainable waste management: An economic benefit assessment." The data corresponds to forecasts of electricity generation and GHG emission reductions in 44 sub-Saharan African countries. This includes the potential for energy generation from organic MSW as well as the economic viability of waste-to-energy projects in Sub-Saharan Africa. This data also includes the environmental costs of improper waste management. Forecasted data on MSW generation and methane emissions from landfill sites are estimated for 100 years (from 2000 to 2100). This data is estimated using data from trusted official documents from the IPCC, IMF, World Bank, and United Nations, and is supplemented as needed with information from literature and country-specific databases. The data showed how important it is for Sub-Saharan Africa to switch to using waste as a source of energy and to use waste in a more sustainable way.
DOI: 10.6084/m9.figshare.11906967.v1
title: HDP Simulation

description: Dataset of the June and November 2015 elections, and the 2018 election show the outcome of each had the HDP fallen below the ten percent threshold.
DOI: 10.6084/m9.figshare.16830724.v1
title: Supplementary Material for: Identifying High-Risk Triple-Negative Breast Cancer Patients by Molecular Subtyping

description: <b><i>Introduction:</i></b> Triple-negative breast cancer (TNBC) is considered the most aggressive type of breast cancer (BC) with limited options for therapy. TNBC is a heterogeneous disease and tumors have been classified into TNBC subtypes using gene expression profiling to distinguish basal-like 1, basal-like 2, immunomodulatory, mesenchymal, mesenchymal stem-like, luminal androgen receptor (LAR), and one nonclassifiable group (called unstable). <b><i>Objectives:</i></b> The aim of this study was to verify the clinical relevance of molecular subtyping of TNBCs to improve the individual indication of systemic therapy. <b><i>Patients and Methods:</i></b> Molecular subtyping was performed in 124 (82%) of 152 TNBC tumors that were obtained from a prospective, multicenter cohort including 1,270 histopathologically confirmed invasive, nonmetastatic BCs (NCT 01592825). Treatment was guideline-based. TNBC subtypes were correlated with recurrence-free interval (RFI) and overall survival (OS) after 5 years of observation. <b><i>Results:</i></b> Using PAM50 analysis, 87% of the tumors were typed as basal with an inferior clinical outcome compared to patients with nonbasal tumors. Using the TNBCtype-6 classifier, we identified 23 (15%) of TNBCs as LAR subtype. After standard adjuvant or neoadjuvant chemotherapy, patients with LAR subtype showed the most events for 5-year RFI (66.7 vs. 80.6%) and the poorest probability of 5-year OS (60.0 vs. 84.4%) compared to patients with non-LAR disease (RFI: adjusted hazard ratio [aHR] = 1.87, 95% confidence interval [CI] 0.69–5.05, <i>p</i> = 0.211; OS: aHR = 2.74, 95% CI 1.06–7.10, <i>p</i> = 0.037). <b><i>Conclusion:</i></b> Molecular analysis and subtyping of TNBC may be relevant to identify patients with LAR subtype. These cancers seem to be less sensitive to conventional chemotherapy, and new treatment options, including androgen receptor-blocking agents and immune checkpoint inhibitors, have to be explored.
DOI: 10.17632/y58rh8bfkv
title: Dataset for: Efficacy of combined orthokeratology and 0.01% atropine solution for slowing axial elongation in children with myopia: a 2-year randomised trial

description: This dataset file contains the pertinent data including age, sex, spherical equivalent refraction, axial length, corneal endothelial cell density, intraocular pressure, uncorrected distant and near visual acuity, and compliance rate of subjects who completed the 2-year study in the orthokeratology and 0.01% atropine combination group and the orthokeratology monotherapy group.
DOI: 10.6084/m9.figshare.27301725.v1
title: 358inds.ped

description: We genotyped and estimated genetic correlations and coefficient variation (CV). Genome-wide association studies (GWAS) were performed through a mixed linear model for these traits. Then, a meta-analysis was conducted to identify significant SNPs and performed linkage disequilibrium (LD) blocks analysis.
DOI: 10.6084/m9.figshare.28658642.v1
title: <b>Absolute asymmetric synthesis of a homochiral polymer from an achiral monomer</b>

description: The present work discusses about the absolute asymmetric synthesis of homochiral polymer from achiral monomers via topochemical reactions.Mono fid folder has all the monomer nmr data corresponding to Supplementary Fig. 7 to Supplementary Fig. 11fid file 70 c folder has all the temperature-dependent nmr data at 70 C corresponding to Fig. 2a in manuscript100 c fid folder has all the temperature-dependent nmr data at 100 C corresponding to Fig. 2b in manuscriptIR text folder has all the temperature-dependent ir data at 70 C corresponding to Fig. 2c in manuscriptfid solid-state folder has all the solid-state data of monomer and polymer correspoonding to Fig.2d in the manuscriptPXRD mono only folder corresponds to fig. 3b in manuscriptPXRD kinetics text folder corresponds to fig. 3c in manuscriptfid 120 c folder corresponds to Supplementary Fig. 3 in SI63-fid folder corresponds to Supplementary Fig to 16-18Dx-67-poly gpc corresponds to Fig. 3a in manuscript
DOI: 10.17028/rd.lboro.28248965.v2
title: Numerical Modelling Data for Paper: Modelling Vegetation as Complex Structures in Fluid-Filament Interaction using the Elastically- Articulated Body Method

description: This dataset keeps model prediction and performance data, relevant to a paper submitted Dickinson et al to the Journal of Fluids and Structures in 2024, titled "Modelling Vegetation as Complex Structures in Fluid-Filament Interaction using the Elastically- Articulated Body Method".<br>speedtests stores computation times for various segment counts in the EABMlinear_beam_analysis stores the deflections, frequencies, mode shapes, and FRF of a 2D beam as predicted by the EABM.heterogeneous_stem_reconfigurations stores the postures and loads of the reconfigured heterogenous plastic strips as predicted by the EABM.silicon_wave_oscillations stores postures over 1 wave cycle for the silicon strip simulation in the EABMwytham_trees stores strains and frequencies predicted by the EABM for the trees datasetThe data is also supplied in CSV format.Article abstract:Fluid structure interactions in the built and natural environment commonly involve complex, heterogeneous structures. For example, terrestrial and aquatic vegetation species are morphologically complex, which is a factor not fully captured in many models used to understand important flow-vegetation dynamics. In this study we develop and validate a multi-body method for modelling fluid interaction with slender structures (‘filaments’) in complex assemblies. This work uses Featherstone’s Articulated Body Algorithm to permit 3D simulation of connected assemblies of filaments. It includes development of an elasticity model for filament bending at large angles and a novel multi-body method for simulating the added mass effect. The model’s capabilities are validated through comparison with linear beam dynamics and three experimental studies of fluid-filament interaction from the literature. These are (1) flow-induced reconfiguration of heterogeneous and curved filaments, (2) resonance and flow-induced reconfiguration of filament assemblies and (3), wave-induced dynamics of a filament with added mass. The model is shown to be competitively accurate with existing filament dynamics models while extending modelling capability to multi-stem assemblages. Results from the model application demonstrate the importance of representing complex morphologies for accurately predicting flow-vegetation interactions.©The Authors, CC BY 4.0
DOI: 10.4121/uuid:9fcee6cb-2914-4934-b16f-f138e9338e9e
title: Greenhouse data experiment drip irrigation 2016

description: The 'Greenhouse data experiment drip irrigation 2016' file contains data gathered during the experiment as described in Wipfler et al. (2020), Testing of the Greenhouse Emission Model for application of plant protection products via drip irrigation. WENR report 3004. Climate parameters were collected from the Lets Grow database, these parameters include water supply, drain water flow, external rainwater intake, radiation outside (W/m2), realized temperature and relative humidity in greenhouse compartment.
DOI: 10.6084/m9.figshare.13651454.v2
title: Bermuda aerosol, gas, and wet deposition composition dataset

description: Monthly mean concentrations of sulfate, chloride, and sodium in aerosol and wet deposition samples collected at Fort Prospect in Bermuda (32.30N, 64.77W). <br><br>Added data on 3 June 2021 include hourly data for NO, NO2, NOx, and PM2.5, in addition to daily data for PM10. <br>
DOI: 10.6084/m9.figshare.25398703.v1
title: Data DRYAD.xlsx

description: <b><i>Purpose.</i></b> The perception of effort exerts considerable influence in determining task failure during endurance performance. Training interventions blending physical and cognitive tasks yielded promising results in enhancing endurance performance. Motor imagery can modulate the perception of effort. Whether combining motor imagery and physical training improves endurance remains to be understood, and this was the aim of this study. <b><i>Methods.</i></b> Two groups of participants were constituted (motor imagery and control). Both groups performed physical exercises (i.e. isometric wall squat, 12 training sessions, 14-days period), with participants from the motor imagery group also performing motor imagery sessions. Each participant visited the laboratory for experimental procedures pre and post training, during which we assessed endurance performance through a sustained submaximal isometric contraction performed until task failure at either 20 or 40% of the maximal voluntary contraction. Perceptions of effort and muscle pain were measured regularly during the exercise. <b><i>Results.</i></b> We reported no changes in endurance performance for the control group. Endurance performance in the motor imagery group exhibited significant improvements when the intensity of the sustained isometric exercise closely matched that used in training (i.e. 20% of MVC). These enhancements were less pronounced when considering the higher exercise intensities. No reduction in perception of effort was observed in both groups. There was a noticeable decrease in muscle pain perception within the motor imagery group post training. <b><i>Conclusion.</i></b> Combining motor imagery and physical training may offer a promising avenue for enhancing endurance performance and managing pain in various contexts, from sports to clinical rehabilitation.
DOI: 10.6084/m9.figshare.3516974.v1
title: Appendix C. Whitebark pine germination and survival summary by population × site and seed treatment.

description: Whitebark pine germination and survival summary by population × site and seed treatment.
DOI: 10.6084/m9.figshare.6214331.v3
title: 1035 georeferenced locality records and associated Worldclim bioclimatic variables for North American Bombus huntii

description: Georeferenced locality records of <i>Bombus huntii </i>in North America and associated WorldClim bioclimatic variables (http://www.worldclim.org/): BIO1 = Annual Mean Temperature, BIO2 = Mean Diurnal Range (Mean of monthly (max temp - min temp)), BIO3 = Isothermality (BIO2/BIO7) (* 100), BIO4 = Temperature Seasonality (standard deviation *100), BIO5 = Max Temperature of Warmest Month, BIO6 = Min Temperature of Coldest Month, BIO7 = Temperature Annual Range (BIO5-BIO6), BIO8 = Mean Temperature of Wettest Quarter, BIO9 = Mean Temperature of Driest Quarter, BIO10 = Mean Temperature of Warmest Quarter, BIO11 = Mean Temperature of Coldest Quarter, BIO12 = Annual Precipitation, BIO13 = Precipitation of Wettest Month, BIO14 = Precipitation of Driest Month, BIO15 = Precipitation Seasonality (Coefficient of Variation), BIO16 = Precipitation of Wettest Quarter, BIO17 = Precipitation of Driest Quarter, BIO18 = Precipitation of Warmest Quarter, BIO19 = Precipitation of Coldest Quarter<br>
DOI: 10.17632/32bxj3m9k9
title: Database of 3D ECG and Metrics for Ischemic State Analysis

description: This database contains Python scripts for processing three-dimensional (3D) electrocardiogram (ECG) data, generating distance matrices (XY and XZ projections), performing statistical analyses, and computing metrics such as perimeter, curvature, and almost-curvature. The scripts support clustering, hypothesis testing, and graphical visualization. These tools are part of an innovative research initiative focused on defining and developing a 3D ECG through the assignment of polar coordinates to ECG variables, as well as the formulation of a novel parameter (almost-curvature) with potential clinical significance for detecting evolutionary changes in 3D ECG deflections during acute myocardial ischemia.
DOI: 10.17632/5rp8gmmg8w
title: Geochemical and N isotopic data for metamorphic rocks in the Mica Creek, Canadian Cordillera

description: Data tables for "Nitrogen isotopes as a sensitive tracer of high-temperature external fluid activity and mineral reactions in regional metamorphism: an example from the Canadian Cordillera"
DOI: 10.17632/7cw89dg4nv
title: Data for: Deciphering Heavy Metals Adsorption on Soil by Physicochemical Property Diversity Using Machine Learning Method

description: Soil Properties Source Data, Soil Adsorbed Heavy Metals Source Data and Machine Learning Code
DOI: 10.6084/m9.figshare.13138904.v1
title: Supplementary Material 2 (Drone-based thermal remote sensing provides an effective new tool for monitoring the abundance of roosting fruit bats)

description: This zip file contains thirteen thermal orthomosaics depicting an aerial view of eight flying-fox (<em>Pteropus</em> spp.) colonies throughout the Greater Sydney region, Australia. The zip file contains thirteen folders, each containing the georeferenced thermal orthomosaic depicting the flying-fox colony, as well as four semi-automatically classified image products, classifying the thermal image into two classes: flying-fox, and background. The number of image segments classified as flying-fox were counted to give an estimate of the number of flying-foxes in the original thermal orthomosaic. Each thermal orthomosaic was classified using (1) a Computer Vision pipeline (denoted CV), (2) Object-based image segmentation and Random Forest classification (denoted RF), (3) Object-based image segmentation and Support Vector Machines classification (denoted SVM) and (4) Object-based image segmentation and Maximum Likelihood classification (denoted ML).Each folder is named with the colony location and the date of image capture, for example ‘CamelliaGardens200220’ contains an orthomosaic and classified image products depicting the Camellia Gardens flying-fox colony on the 20<sup>th</sup> of February 2020. Within each folder, images are named with their type, colony location and the date of image capture. For example, the image name ‘CVCamelliaGardens200220’ is the Computer vision pipeline classified orthomosaic of the Camellia Gardens colony on the 20<sup>th</sup> of February 2020.This file also contains a fourteenth folder entitled 'Orthomosaic precision study' which contains orthomosaics and other material pertaining to the precision assessment presented in this paper.All thermal orthomosaics contained in this file are georeferenced .tif files and can be viewed in Geographical Information Systems software such as ArcGIS, QGIS or R. All classified image products contained in this file are .tif files and can be viewed in Geographical Information Systems software such as ArcGIS, QGIS or R. All files can be viewed in any .tif image viewing software.<br>For all colonies depicted here, landowner permission was obtained prior to drone flights.
DOI: 10.17632/3d4wggwh5g
title: A Collection of Basic Greetings in Panamanian Sign Language (PSL)

description: A collection of videos captures (images and position based coordinates) of 5 basic greetings in Panamanian Sign Language (PSL):
 Hola - Hello, Buenos días– Good morning, Estoy Bien – I am fine, Gracias – Thanks, ¿Cómo estás? – How are you?)

This data set is intended for academic use and research in sign language detection for Panamanian Sign Language (PSL),
DOI: 10.17632/8scy63d3tw
title: Random Forest Prediction of Time to Failure for Granite Hydraulic Fracturing Using Nanoseismic Signals

description: The data include nanoseismic seismic waveforms associated with time to failure parsed from from Li et al. (2019)'s (https://doi.org/10.1016/j.engfracmech.2019.01.034) hydraulic fracturing experiments and statistical features extracted following Rouet-Leduc et al. (2017) (https://doi.org/10.1002/2017GL074677). The code to load the data and trained models is enclosed in the Jupyter Notebook.
DOI: 10.6084/m9.figshare.12470048.v1
title: JARVIS-DFT Wannier tight binding Hamiltonians for 2D materials

description: In this work, we develop a computational workflow for high-throughput Wannierization of density functional theory (DFT) based electronic band structure calculations. We apply this workflow to 1771 materials, and we create a database with the resulting Wannier-function based tight binding Hamiltonians (WTBH). We evaluate the accuracy of the WTBHs by comparing the Wannier band structures to directly calculated DFT band structures on both the set of k-points used in the Wannierization as well as independent k-points from high symmetry lines. Accurate WTBH can be used for the calculation of many materials properties, and we include a few example applications. We also develop a web-app that can be used to predict electronic properties on-the-fly using WTBH from our database. The tools to generate the Hamiltonian and the database of the WTB parameters will be made publicly available through the websites https://github.com/usnistgov/jarvis and https://www.ctcms.nist.gov/jarviswtb.
DOI: 10.17632/nchzt38w4d
title: Lokananthan_Balaji_Fig2-3

description: These Excel files contain raw data for SEC-MALS measurements as well as fluorescence anisotropy/intensity DNA binding isotherms. These data were used in Figures 2 and 3 of the manuscript titled "DNA binding and bridging by human CtIP in the healthy and diseased states"
DOI: 10.6084/m9.figshare.1544756.v1
title: Gender vs. Hair Color

description: This data was collected for our introductory lab and as practice for data collection. There were four people in each group, lab partners included Khaula Sahi, Alexandra Nushis and Kathy Chan. Data Collection took place at York University in Lumbers Building, Room 118 at 3pm. A sample of 20 students gender vs. hair color was observed and recorded.
DOI: 10.6084/m9.figshare.24494761.v1
title: Supplementary Material for: Exploring the expression of Adenosine Pathway-Related Markers CD73 and CD39 in Colorectal and Pancreatic Carcinomas Characterized by Multiplex Immunofluorescence: A Pilot Study

description: Introduction: Generating high levels of immunosuppressive adenosine in the tumor microenvironment contributes to cancer immune evasion. CD39 and CD73 hydrolyze adenosine triphosphate into adenosine; thus, efforts have been made to target this pathway for cancer immunotherapy. Our objective was optimizing a multiplex immunofluorescence (mIF) panel to explore the role of CD39 and CD73 within the tumor microenvironment. Materials and methods: In three-time points, a small cohort (n=8 ) of colorectal and pancreatic adenocarcinomas were automated staining using an mIF panel against CK, CD3, CD8, CD20, CD39, CD73 and CD68 to compare them with individual markers immunohistochemistry (IHC) for internal panel validation. Densities of immune cells and distances from different tumor-associated immune cells to tumor cells were exploratory assessment and compared with clinicopathologic variables and outcomes. Results: Comparing the three-time points and individual IHC staining results, we demonstrated high reproducibility of the mIF panel. CD39 and CD73 expression was low in malignant cells; the exploratory analysis showed higher densities of CD39 expression by various cells, predominantly stromal cells, followed by T cells, macrophages, and B cells. No expression of CD73 by B cells or macrophages was detected. Distance analysis revealed proximity of cytotoxic T cells, macrophages, and T cells expressing CD39 to malignant cells, suggesting a close regulatory signal driven by this adenosine marker. Conclusions: We optimized an mIF panel for detection of markers in the adenosine pathway, an emerging clinically relevant pathway. The densities and spatial distribution demonstrated that this pathway may modulate aspects of the tumor immune microenvironment.
DOI: 10.6084/m9.figshare.24962505.v1
title: Spatial transcriptomic analysis of HLA related immune signatures in metastatic cutaneous melanoma patients.

description: Transcriptomic expression of specific gene signatures within spatial and immune from lymph node metastases in patients with metastatic melanoma.<br><br>In the study presented here, a cohort of 55 metastatic melanoma patients was used to acquire expression profiles of specific HLA-related immune signatures for spatial expression analysis in the intersection of immune and tumor segments within the skin tumors and lymph node metastasis.<br><br>The Whole Transcriptome Atlas RNA probe kit (NantoString Technologies, Seattle, WA, USA) was used for NanoString GeoMx Digital Spatial profiling analysis of skin tumors and lymph node metastasis of metastatic melanoma patients. Formalin-fixed, paraffin-embedded (FFPE) sections of tumor microarrays of 3,5 µm thickness were deparaffinized, and the antigens retrieved, following the manufacturer's instruction (MAN-10150-01, NanoString Technologies).<br><br>In situ hybridization of RNA probes was performed overnight following the manufacturer's instruction (MAN-10150-01, NanoString Technologies).<br><br>Fluorophore-tagged antibodies against CD45, S100B/PMEL17, and SYTO13 nuclear dye (Human Melanoma TME morphology kit, NanoString Technologies) were used for staining to enable detection of the regions of interest (ROIs).<br><br>The arrays were scanned using the GeoMx instrument. 3-channel immunofluorescent digital images were created of S100B/PMEL17 signal representing tumor cells, CD45 signal representing leukocytes and SYTO13 signal representing nuclei. Based on the digital image, regions of interes (ROI) were selected.<br><br>Immune segments were selected from the ROIs. RNA-specific probes coupled with photocleavable oligonucleotides were then collected of the iROIs and subsequently sequenced in a next-generation sequencing pipeline. Gene counts were normalized according the the third-quartile protocol using the GeoMX DSP GEOMX-0061 Version 3.0.0.113.<br><br>RAW files include separate patient RAW counts for studied genes. Normalized matrixes include normalized counts using 3rd quartile normalization method. <br>