cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p950pw5r
title: Model Archive Summary for Turbidity Derived Suspended-Sediment Concentrations at USGS Station 11336685; North Mokelumne River near Walnut Grove, California (2011 - 2015)

description: Continuous 15-minute time-series suspended-sediment concentration (SSC) data computed from U.S. Geological Survey (USGS) instream turbidity data using a YSI 6-series multi-parameter water quality sonde for the North Mokelumne River near Walnut Grove, California, USGS station� #11336685. A model archive summary describes the development of a continuous 15-minute SSC time-series regression model.
DOI: 10.6084/m9.figshare.24496396
title: Salivary biomarkers and diagnosis of gastric cancer - Supplementary File S1.xlsx

description: Salivary biomarkers hold substantial promise for the early detection of gastric cancer.
DOI: 10.6084/m9.figshare.24496396.v1
title: Salivary biomarkers and diagnosis of gastric cancer - Supplementary File S1.xlsx

description: Salivary biomarkers hold substantial promise for the early detection of gastric cancer.
DOI: 10.6084/m9.figshare.24496324
title: <b>Building aggregation dataset</b>

description: All datasets are from Baidu Maps.
DOI: 10.5281/zenodo.10069583
title: Modeled Greenland firn properties in warming and cooling experiments

description: This dataset contains processed output from the SNOWPACK firn model forced by idealized MERRA-2 data. Please see the readme for a detailed description of each file.
DOI: 10.5281/zenodo.10069582
title: Modeled Greenland firn properties in warming and cooling experiments

description: This dataset contains processed output from the SNOWPACK firn model forced by idealized MERRA-2 data. Please see the readme for a detailed description of each file.
DOI: 10.12751/g-node.lt6z66
title: Longitudinal fMRI dataset for pain modulation through learning descending pain inhibition through positive imagery and RIII reflex biofeedback

description: The aim of the study was to determine which brain areas are preferentially activated when healthy participants learned to activate their descending pain inhibition via a cognitive strategy. We compared participants brain activity with fMRI before and after learning a cognitive strategy via RIII-biofeedback-training. This experiment was a longitudinal MRI study with two MRI scans: MRI1: pre-intervention and MRI2: post-intervention. Intervention was a previously published feedback training (see doi:10:1002/ejp.570) to teach participants a cognitive strategy to reduce their spinal nociception.
description: IsSupplementTo: Graeff P, Ruscheweyh R, Flanagin VL. (2023) Longitudinal changes in human supraspinal processing after RIII-feedback training to improve descending pain inhibition, NeuroImage,120432. (https://doi.org/10.1016/j.neuroimage.2023.120432)
description: IsReferencedBy: Ruscheweyh R, Weinges F, Schiffer M, Bäumler M, Feller M, Krafft S., Straube A, Sommer J, Marziniak M. (2015) Control over spinal nociception as quantified by the nociceptive flexor reflex (RIII reflex) can be achieved under feedback of the RIII reflex, European Journal of Pain, 19, 480-489. (https://doi.org/10.1002/ejp.570)
DOI: 10.15129/f6e78c9e-9a43-467f-a4db-3dbfbfece700
title: Supplementary material for: "The symmetry properties and bifurcations of viscoelastic thermovibrational convection in a square cavity"

description: Each folder corresponds to a figure or table. Its name is the same as the figure it corresponds to. The data should be read as follow: · Tab1 contains five folders, one for each mesh. Each mesh folder contains “Nu.txt”, “K.dat”, and “EE.dat”. These files can be read and analysed using MATLAB, excel, python or similar software. · Fig2 contains “maxV.dat”, which is the global maximum of the vertical velocity over time. This file can be read and analysed using MATLAB, excel, python or similar software. · Fig3 contains an excel spreadsheet with the growth rate as a function of the vibrational Rayleigh number for each of the nine cases analysed in this work. It also reports the extrapolation function to calculate the critical threshold. · Fig5_and_fig10 reports the time-averaged Nu, K, and EE values for each value of Ra_omega analysed in this work. Moreover, the column “low_freq” also reports the low frequency of the intermittent disturbance used to prepare figure 10. · Fig6 and fig7 report the raw data to create the streamlines. They can be visualised by opening the “open.foam” file with Paraview. For what concerns the spatiotemporal maps, the raw data can be found in “postprocessing/singleGraph” where, for each sampling time (name of the folder), there is a text file containing “line_T” and “line_U” files, i.e. the extracted profile of temperature and velocity respectively. To visualise the maps, these folders should be post-processed (using MATLAB or python) and plotted as a contour. To facilitate the reading of these data, a “.mat” file containing the files already post-processed is also provided in each folder. This MATLAB archive can be opened only in MATLAB. · Fig8_and_fig9 for the visualisation of the map, same as above. For the signal, it can be found in “\postProcessing\probes\0”, in a text file “U” that can be opened with MATLAB or similar. · Fig11, see above. · Video_intermittent is a video that shows the streamlines evolution for the intermittent case.
DOI: 10.7910/dvn/2zqqji/3e07fs
title: Harvard_Dataverse_homepage_survey_results.csv
DOI: 10.7910/dvn/2zqqji/gjpkmb
title: FL_insurance_sample.tab
DOI: 10.15151/esrf-es-1334151243
title: Cation oxidation states in sub-stoichiometric fluorite oxides: application to (U1-yCey)O2-x

description: Modelling the thermodynamic behaviour of sub-stoichiometric, ternary oxides such as (U1–yPuy)O2–x or its less hazardous analog (U1-yCey)O2–x, constitutes a scientific and industrial challenge in the context of optimizing these fuels for fast neutron and pressurized water reactor applications. Past XRD studies report a phase separation in oxygen deficient U-Ce-O and U-Pu-O systems (e.g. U0.5Ce0.5O1.95 compounds), in which the high temperature disordered fluorite phase gives way to two fluorite phases, stoichiometric and sub-stoichiometric, at some point below 400°C. Neutron diffraction experiments suggest however that the low temperature sub-stoichiometric phase is probably not a fluorite. The exact nature of the phase transition mechanism, has not, as yet, been clearly identified and it is thought the key to this, lies in understanding in situ, the interplay between mobile anion vacancies and polaronic disorder involving Ce3+, Ce4+, U4+, U5+ ions.
DOI: 10.57932/55b9f0fd-406b-4db8-98c5-128efb9833d9
title: 2018 Landcover map of Grand-Est Region (France) from Deep Learning Model

description: 2018 Landcover map at 10m with 10 thematic classes on the Grand-Est Region (France) from a deep learning model described in Wenger et al., 2022 (DOI: 10.1080/01431161.2022.2054295 ).
DOI: 10.6084/m9.figshare.21476890
title: Comprehension of complex syntax by non-English-speaking children with developmental language disorder: A scoping review

description: Children with developmental language disorder (DLD) are characterised by impaired language abilities both in comprehension and production. Complex syntax is a specific domain which is often considered challenging for children with DLD. Research regarding complex syntax is mostly concerned with the production patterns of speakers and usually employs English-speaking populations. This scoping review aims to systematically map the abilities of non-English-speaking children with DLD to comprehend complex syntactic structures, comparing these results with the broader literature on English-speaking children with DLD. It also aims to consider the account (i.e. grammatical vs processing) by which these abilities can be explained. Four online databases were used to extract original research articles published between 2011 and 2021. Of the 264 studies initially identified, 20 studies were included in the review. The results demonstrated that children with DLD present with difficulties in comprehending object relative clauses, wh-questions, sentences with non-canonical word order, passives, and other types of complex syntax. All of these challenges are also evident in English-speaking children with DLD and can be mainly attributed either to the inability of children to assign thematic roles, their restricted working memory capacities, or a combination thereof. It is concluded that the comprehension of complex syntax might be a universal marker of DLD, which can be explained on the basis of either a grammatical or a processing account, or both. Common challenges in certain structures across languages can be used to design a comprehension assessment tool that can be applied in several languages.
DOI: 10.6084/m9.figshare.21476890.v1
title: Comprehension of complex syntax by non-English-speaking children with developmental language disorder: A scoping review

description: Children with developmental language disorder (DLD) are characterised by impaired language abilities both in comprehension and production. Complex syntax is a specific domain which is often considered challenging for children with DLD. Research regarding complex syntax is mostly concerned with the production patterns of speakers and usually employs English-speaking populations. This scoping review aims to systematically map the abilities of non-English-speaking children with DLD to comprehend complex syntactic structures, comparing these results with the broader literature on English-speaking children with DLD. It also aims to consider the account (i.e. grammatical vs processing) by which these abilities can be explained. Four online databases were used to extract original research articles published between 2011 and 2021. Of the 264 studies initially identified, 20 studies were included in the review. The results demonstrated that children with DLD present with difficulties in comprehending object relative clauses, wh-questions, sentences with non-canonical word order, passives, and other types of complex syntax. All of these challenges are also evident in English-speaking children with DLD and can be mainly attributed either to the inability of children to assign thematic roles, their restricted working memory capacities, or a combination thereof. It is concluded that the comprehension of complex syntax might be a universal marker of DLD, which can be explained on the basis of either a grammatical or a processing account, or both. Common challenges in certain structures across languages can be used to design a comprehension assessment tool that can be applied in several languages.
DOI: 10.5281/zenodo.7452770
title: Delineating the heterogeneity of mesenchyme lineages in mutation-driven prostate carcinogenesis via single-cell profiling

description: These are the count matrices (in .h5ad format) used to produce the results and figures in the paper entitled "Delineating the heterogeneity of mesenchyme lineages in mutation-driven prostate carcinogenesis via single-cell profiling". - adata_mouse.h5ad: the normalized count matrix and cell annotations for the mesenchymal prostate data from all mouse models. - adata_mouse_myo.h5ad: the normalized count matrix for the myofibroblasts and pericytes (both are c0). - scenic_mesenchyme_auc.csv: the auc matrix of the regulons activity in the different cells and clusters in the mouse mesenchymal data. - scenic_mesenchyme_binary.csv: the binary matrix of regulons activity in the mouse mesenchymal data. - adata_human.h5ad: the normalized count matrix and cell annotations for the mesenchymal human primary prostate cancer data. - adata_human_boneMet_stroma.h5ad: the normalized count matrix and cell annotation for the bone metastasis data derived from Kfoury et al.
DOI: 10.5281/zenodo.10069816
title: distinct mesenchymal cell states mediate prostate cancer progression

description: These are the count matrices (in .h5ad format) used to produce the results and figures in the paper entitled "distinct mesenchymal cell states mediate prostate cancer progression". 

adata_mouse.h5ad: the normalized count matrix and cell annotations for the mesenchymal prostate data from all mouse models.
adata_mouse_myo.h5ad: the normalized count matrix for the myofibroblasts and pericytes (both are c0).
scenic_mesenchyme_auc.csv: the auc matrix of the regulons activity in the different cells and clusters in the mouse mesenchymal data.
scenic_mesenchyme_binary.csv: the binary matrix of regulons activity in the mouse mesenchymal data.
adata_human.h5ad: the normalized count matrix and cell annotations for the mesenchymal human primary prostate cancer data.
adata_human_boneMet_stroma.h5ad: the normalized count matrix and cell annotation for the bone metastasis data derived from Kfoury et al.
visium_PRN.h5ad: the normalized count matrix and cell annotation for the Visium spatial transcriptomics data of the PRN mouse model.
visium_WT.h5ad: the normalized count matrix and cell annotation for the Visium spatial transcriptomics data of the WT (PRN-WT) mouse model.
natHistory_expression: the normalized expression matrix for the natural history cohort.
natHistory_label: the metastasis indicators for the natural history cohort.
DOI: 10.5281/zenodo.7452769
title: distinct mesenchymal cell states mediate prostate cancer progression

description: These are the count matrices (in .h5ad format) used to produce the results and figures in the paper entitled "distinct mesenchymal cell states mediate prostate cancer progression". 

adata_mouse.h5ad: the normalized count matrix and cell annotations for the mesenchymal prostate data from all mouse models.
adata_mouse_myo.h5ad: the normalized count matrix for the myofibroblasts and pericytes (both are c0).
scenic_mesenchyme_auc.csv: the auc matrix of the regulons activity in the different cells and clusters in the mouse mesenchymal data.
scenic_mesenchyme_binary.csv: the binary matrix of regulons activity in the mouse mesenchymal data.
adata_human.h5ad: the normalized count matrix and cell annotations for the mesenchymal human primary prostate cancer data.
adata_human_boneMet_stroma.h5ad: the normalized count matrix and cell annotation for the bone metastasis data derived from Kfoury et al.
visium_PRN.h5ad: the normalized count matrix and cell annotation for the Visium spatial transcriptomics data of the PRN mouse model.
visium_WT.h5ad: the normalized count matrix and cell annotation for the Visium spatial transcriptomics data of the WT (PRN-WT) mouse model.
natHistory_expression: the normalized expression matrix for the natural history cohort.
natHistory_label: the metastasis indicators for the natural history cohort.
DOI: 10.25318/9810039901-fra
title: Statistiques du revenu d’emploi, selon la minorité visible, le statut d’immigrant, le plus haut niveau de scolarité et le lieu des études : Canada, provinces et territoires

description: Revenu d’emploi des groupes de minorités visibles selon les caractéristiques de la scolarité, y compris le lieux des études.
DOI: 10.5281/zenodo.10066889
title: PhiPiPi Dataset for our paper "Event Generation and Consistence Test for Physics with Sliced Wasserstein Distance"

description: The PhiPiPi dataset is used to train and test our fast event simulation model for our paper  "Event Generation and Consistence Test for Physics with Sliced Wasserstein Distance" in https://arxiv.org/abs/2310.17897.  The dataset is generated by BES III simulation framework to simulate phase-space Monte Carlo events, focusing on the production of psi(2S) in electron-positron annihilation. This intricate process entails the psi(2S) decay into a trio of particles: phi, pi+, and pi-, with the phi particle subsequently decaying into a K+ and K- pair.
We have meticulously partitioned the data into distinct sets for training, validation, and testing to facilitate a robust machine learning workflow. Each set is systematically saved in the convenient npy format for ease of access and integration.
The dataset contains the four-momentum components (px, py, pz, E) of the final-state particles: K+, K-, pi+, and pi-. This comprehensive inclusion ensures a detailed representation of the kinematic properties of the particles for accurate model training.
Researchers and practitioners are invited to use this dataset by incorporating it into our public code repository: https://github.com/caihao/SWD-EvtGen. Doing so will enable the training of our fast event simulation model, enhancing the fidelity and efficiency of high energy physics simulations.
DOI: 10.5281/zenodo.10066888
title: PhiPiPi Dataset for our paper "Event Generation and Consistence Test for Physics with Sliced Wasserstein Distance"

description: The PhiPiPi dataset is used to train and test our fast event simulation model for our paper  "Event Generation and Consistence Test for Physics with Sliced Wasserstein Distance" in https://arxiv.org/abs/2310.17897.  The dataset is generated by BES III simulation framework to simulate phase-space Monte Carlo events, focusing on the production of psi(2S) in electron-positron annihilation. This intricate process entails the psi(2S) decay into a trio of particles: phi, pi+, and pi-, with the phi particle subsequently decaying into a K+ and K- pair.
We have meticulously partitioned the data into distinct sets for training, validation, and testing to facilitate a robust machine learning workflow. Each set is systematically saved in the convenient npy format for ease of access and integration.
The dataset contains the four-momentum components (px, py, pz, E) of the final-state particles: K+, K-, pi+, and pi-. This comprehensive inclusion ensures a detailed representation of the kinematic properties of the particles for accurate model training.
Researchers and practitioners are invited to use this dataset by incorporating it into our public code repository: https://github.com/caihao/SWD-EvtGen. Doing so will enable the training of our fast event simulation model, enhancing the fidelity and efficiency of high energy physics simulations.
DOI: 10.6084/m9.figshare.23261234
title: Predicting drug response from single-cell expression profiles (DREEP)

description: Drug response prediction at the single-cell level is an emerging field of research that aims to improve the efficacy and precision of cancer treatments. Here, we introduce DREEP(Drug Response Estimation from single-cell Expression Profiles), a computational method that leverages publicly available pharmacogenomic screens and functional enrichment analysis to predict single-cell drug sensitivity from transcriptomic data. We validated DREEP extensively in Vitro using several independent single-cell datasets with over 200 cancer cell lines and showed its accuracy and robustness. Additionally, we also applied DREEP to molecularly barcoded breast cancer cells and identified drugs that can selectively target specific cell populations. DREEP provides an in-silico framework to prioritize drugs from single-cell transcriptional profiles of tumours and thus helps in designing personalized treatment strategies and accelerating drug repurposing studies. DREEP is available at https://github.com/gambalab/DREEP.
DOI: 10.13020/qy6j-h516
title: Data for Lateral Variations in Teleseismic Attenuation of the Conterminous U.S. and New Insights Derived from its Relationship to Mantle Seismic Velocity

description: The archived zip file (ContUStStarDataArchive.zip) contains all the waveforms as well as the measured t* in each case.
DOI: 10.6084/m9.figshare.24496459
title: Stigmatization towards fifteen mental illnesses in France: The role of vital force and burden

description: A study examining social perceptions and rejection towards fifteen mental illnesses, as well as a preliminary test of the SUBAR model.
DOI: 10.6084/m9.figshare.24496459.v1
title: Stigmatization towards fifteen mental illnesses in France: The role of vital force and burden

description: A study examining social perceptions and rejection towards fifteen mental illnesses, as well as a preliminary test of the SUBAR model.
DOI: 10.6084/m9.figshare.24496523
title: An <i>in silico</i> approach to evaluate the bindings of natural flavonoids and RNA–DNA hybrids

description: Flavonoids, low molecular weight polyphenolic compounds, are important natural products that belong to plant secondary metabolites. They have diverse biomedical applications such as antioxidative, anti-inflammatory, enzyme inhibitory, antimutagenic, anticarcinogenic, aromatase inhibitory effects, etc. Some of the flavonoids have been exported for bindings with certain DNA and tRNA structures both experimentally and computationally. RNA–DNA hybrid (RDH) falls into an important category of noncanonical nucleic acid structures that have many important biological functions. We have investigated the interaction of RDH structures with some of the dietary flavonoids with the aid of computational methods such as docking and molecular dynamics simulation. The presence of the − OH group on the ligand and the availability of a proper binding pocket in the macromolecule are the two main factors driving the binding preference. Thus, this computationally guided report explains the binding of the flavonoids with RDH structures to assist the researchers in designing noncanonical nucleic acid-targeted drug molecules. Communicated by Ramaswamy H. Sarma
DOI: 10.6084/m9.figshare.24496523.v1
title: An <i>in silico</i> approach to evaluate the bindings of natural flavonoids and RNA–DNA hybrids

description: Flavonoids, low molecular weight polyphenolic compounds, are important natural products that belong to plant secondary metabolites. They have diverse biomedical applications such as antioxidative, anti-inflammatory, enzyme inhibitory, antimutagenic, anticarcinogenic, aromatase inhibitory effects, etc. Some of the flavonoids have been exported for bindings with certain DNA and tRNA structures both experimentally and computationally. RNA–DNA hybrid (RDH) falls into an important category of noncanonical nucleic acid structures that have many important biological functions. We have investigated the interaction of RDH structures with some of the dietary flavonoids with the aid of computational methods such as docking and molecular dynamics simulation. The presence of the − OH group on the ligand and the availability of a proper binding pocket in the macromolecule are the two main factors driving the binding preference. Thus, this computationally guided report explains the binding of the flavonoids with RDH structures to assist the researchers in designing noncanonical nucleic acid-targeted drug molecules. Communicated by Ramaswamy H. Sarma
DOI: 10.6084/m9.figshare.24261226.v1
title: TDR EC survey 2020 AUG 3 2022 clean.xlsx

description: The survey data to investigate the readiness of the Asian Research Ethics committees in responding to the COVID-19 Pandemic.
DOI: 10.6084/m9.figshare.24261226.v2
title: The Readiness of the Asian Research Ethics Committees in Responding to the COVID-19 Pandemic Research Dataset

description: The survey data and supplementary figures to investigate the readiness of the Asian Research Ethics committees in responding to the COVID-19 Pandemic.
DOI: 10.6084/m9.figshare.24496525
title: Investor participation -Nudge paper.sav

description: Nudging and investor participation on the Uganda Securities Exchange
DOI: 10.6084/m9.figshare.24496525.v1
title: Investor participation -Nudge paper.sav

description: Nudging and investor participation on the Uganda Securities Exchange
DOI: 10.6084/m9.figshare.24496528
title: Untitled Item<b>NUCLEAR GENE INTROGRESSION</b><b>S </b><b>IN HYBRID POPULATIONS OF WATER FROG </b><b>PELOPHYLAX ESCULENTUS</b><b> COMPLEX: GEOGRAPHICAL ANALYSIS OF THE PHENOMENON AND ITS INTERPRETATION</b>

description: The dataset contains information on 159 frog water samples from different river systems in Ukraine. For each sample the belonging to the river system, geographical coordinates, species composition are indicated. For marsh frog samples, the presence or absence of introgression of alien genetic material is additionally indicated. For samples of hybrid frogs, the presence or absence of recombination of parental genomes is indicated.