cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14272/bogqkrywphzfpk-xrbifonesa-l/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C14H27N3O2.2ClH.Zn/c1-6-19-13(18)11-9-7-8-10-12(11)15-14(16(2)3)17(4)5;;;/h11-12H,6-10H2,1-5H3;2*1H;/q;;;+2/p-2/t11-,12+;;;/m0.../s1

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (101 MHz, CDCl3, ppm) δ = 180.9 (i), 165.5 (h), 64.2 (j, j’), 57.7 (f), 46.3 (a), 40.4 (4C, g), 33.0 (e, e’), 27.7 (b, b’), 23.9 (d, d’), 23.0 (c, c’), 13.9 (k).
DOI: 10.25901/n50r-jt66
title: Brigalow Catchment Study data
DOI: 10.6084/m9.figshare.23506281
title: A speech-based prognostic model for dysarthria progression in ALS

description: <i>Objective</i>: We demonstrated that it was possible to predict ALS patients’ degree of future speech impairment based on past data. We used longitudinal data from two ALS studies where participants recorded their speech on a daily or weekly basis and provided ALSFRS-R speech subscores on a weekly or quarterly basis (quarter-annually). <i>Methods</i>: Using their speech recordings, we measured articulatory precision (a measure of the crispness of pronunciation) using an algorithm that analyzed the acoustic signal of each phoneme in the words produced. First, we established the analytical and clinical validity of the measure of articulatory precision, showing that the measure correlated with perceptual ratings of articulatory precision (r = .9). Second, using articulatory precision from speech samples from each participant collected over a 45–90 day model calibration period, we showed it was possible to predict articulatory precision 30–90 days after the last day of the model calibration period. Finally, we showed that the predicted articulatory precision scores mapped onto ALSFRS-R speech subscores. <i>Results</i>: the mean absolute error was as low as 4% for articulatory precision and 14% for ALSFRS-R speech subscores relative to the total range of their respective scales. <i>Conclusion</i>: Our results demonstrated that a subject-specific prognostic model for speech predicts future articulatory precision and ALSFRS-R speech values accurately.
DOI: 10.6084/m9.figshare.23506281.v1
title: A speech-based prognostic model for dysarthria progression in ALS

description: <i>Objective</i>: We demonstrated that it was possible to predict ALS patients’ degree of future speech impairment based on past data. We used longitudinal data from two ALS studies where participants recorded their speech on a daily or weekly basis and provided ALSFRS-R speech subscores on a weekly or quarterly basis (quarter-annually). <i>Methods</i>: Using their speech recordings, we measured articulatory precision (a measure of the crispness of pronunciation) using an algorithm that analyzed the acoustic signal of each phoneme in the words produced. First, we established the analytical and clinical validity of the measure of articulatory precision, showing that the measure correlated with perceptual ratings of articulatory precision (r = .9). Second, using articulatory precision from speech samples from each participant collected over a 45–90 day model calibration period, we showed it was possible to predict articulatory precision 30–90 days after the last day of the model calibration period. Finally, we showed that the predicted articulatory precision scores mapped onto ALSFRS-R speech subscores. <i>Results</i>: the mean absolute error was as low as 4% for articulatory precision and 14% for ALSFRS-R speech subscores relative to the total range of their respective scales. <i>Conclusion</i>: Our results demonstrated that a subject-specific prognostic model for speech predicts future articulatory precision and ALSFRS-R speech values accurately.
DOI: 10.34740/kaggle/dsv/5872358
title: Pypi sython panda
DOI: 10.34740/kaggle/dsv/5916603
title: Pypi sython panda
DOI: 10.25919/esxz-q276
title: Synthetic NEM 2000-bus Data

description: This repository contains the Matpower files of a synthetic network model for National Electricity Market (NEM) of Australia.
DOI: 10.6084/m9.figshare.23506272.v1
title: fig6

description: Absorbance（OD450）of IgG，IgG1, IgG2a, sIgA by Ts-CE-ELISA
DOI: 10.6084/m9.figshare.23506284
title: figs4

description: single female productivity
DOI: 10.6084/m9.figshare.23506260
title: fig4a

description: relative expression of MUC2 in SI
DOI: 10.6084/m9.figshare.23506260.v1
title: fig4a

description: relative expression of MUC2 in SI
DOI: 10.6084/m9.figshare.23506284.v1
title: figs4

description: single female productivity
DOI: 10.6084/m9.figshare.23506290
title: figs3

description: α diversity index
DOI: 10.6084/m9.figshare.23506290.v1
title: figs3

description: α diversity index
DOI: 10.6084/m9.figshare.23506143
title: fig2b-d_and_fig4c-e

description: fig2b-d include villus length, crypt depth and villus length/ crypt depth from 8 samples fig4c-e include goblet cells staining DAB and PAS
DOI: 10.6084/m9.figshare.23506269
title: fig5b-c.pzfx

description: CD4 and CD8 ratio of MLNs
DOI: 10.6084/m9.figshare.23506272
title: fig6

description: Absorbance（OD450）of IgG，IgG1, IgG2a, sIgA by Ts-CE-ELISA
DOI: 10.6084/m9.figshare.23501508
title: fig2e_and_4f.pzfx

description: Quantitative data of cytokines were performed using qRT-PCR in the manuscript. Visualization and statistical analysis were performed using Graphpad prism 9.0, and the results were saved in pzfx format. <br> <br>
DOI: 10.6084/m9.figshare.23506131
title: fig3a-b

description: burden of muscle larvae and adult worm
DOI: 10.6084/m9.figshare.23506131.v1
title: fig3a-b

description: burden of muscle larvae and adult worm
DOI: 10.6084/m9.figshare.23506269.v1
title: fig5b-c.pzfx

description: CD4 and CD8 ratio of MLNs
DOI: 10.6084/m9.figshare.21345186
title: fig2h

description: permeability measured by FD4
DOI: 10.6084/m9.figshare.21345186.v1
title: fig2h

description: permeability measured by FD4
DOI: 10.25901/fhfq-fv04
title: Hermitage Research Station. Century Format Data
DOI: 10.6084/m9.figshare.22093286
title: Data and R code for publication: Changes in the alcohol-specific disease burden during the COVID-19 pandemic in Germany: interrupted time-series analyses

description: The data and R code accompany the publication " Changes in the alcohol-specific disease burden during the COVID-19 pandemic in Germany: interrupted time-series analyses", which quantifies sex-specific changes in alcohol-specific hospital discharges and mortality after the onset of the COVID-19 pandemic in Germany.
DOI: 10.6084/m9.figshare.22093286.v1
title: Data and R code for publication: Changes in the alcohol-specific disease burden during the COVID-19 pandemic in Germany: interrupted time-series analyses

description: The data and R code accompany the publication " Changes in the alcohol-specific disease burden during the COVID-19 pandemic in Germany: interrupted time-series analyses", which quantifies sex-specific changes in alcohol-specific hospital discharges and mortality after the onset of the COVID-19 pandemic in Germany.
DOI: 10.6084/m9.figshare.23506461
title: Supplementary Material for: Serum IGFBP7 deriving from spleen and lung could be used for early recognition of cardiac surgery-associated acute kidney injury

description: Introduction: The utility of arithmetic product of urinary tissue metalloproteinase inhibitor 2 (TIMP2) and insulin-like growth factor-binding protein 7 (IGFBP7) concentrations has been widely accepted on early diagnosis of acute kidney injury (AKI). However, which organ is the main source of those two factors and how the concentration of IGFBP7 and TIMP2 changed in serum during AKI still remain to be defined. Methods: In mice, gene transcription and protein levels of IGFBP7/TIMP2 in the heart, liver, spleen, lung, and kidney were measured in both ischaemia-reperfusion injury (IRI)- and cisplatin-induced AKI models. Serum IGFBP7 and TIMP2 levels were measured and compared in patients before cardiac surgery, and at inclusion (0 h), 2 h, 6 h and 12 h after Intensive Care Unit (ICU) admission, and compared with serum creatinine, blood urea nitrogen (BUN), estimated glomerular filtration rate (eGFR) and serum uric acid (UA). Results: In mouse IRI-AKI model, compared with the sham group, the expression levels of IGFBP7 and TIMP2 did not change in the kidney, but significantly upregulated in the spleen and lung. Compared with patients who did not develop AKI, the concentration of serum IGFBP7 at as early as 2 h after ICU admission (s[IGFBP7]-2 h) was significantly higher in patients who developed AKI. The relationships between s[IGFBP7]-2 h in AKI patients and log2(SCr), log2(BUN), log2(eGFR), and log2(UA) were statistically significant. The diagnostic performance of s[IGFBP7]-2 h measured by the macro-averaged area under the receiver operating characteristic curve (AUC) was 0.948 ([95% CI], 0.853 to 1.000; P&lt;0.001). Discussion/Conclusion: The spleen and lung might be the main source of serum IGFBP7 and TIMP2 during AKI. The serum IGFBP7 value demonstrated good predictive accuracy for AKI following cardiac surgery within 2 h after ICU admission.
DOI: 10.6084/m9.figshare.23506461.v1
title: Supplementary Material for: Serum IGFBP7 deriving from spleen and lung could be used for early recognition of cardiac surgery-associated acute kidney injury

description: Introduction: The utility of arithmetic product of urinary tissue metalloproteinase inhibitor 2 (TIMP2) and insulin-like growth factor-binding protein 7 (IGFBP7) concentrations has been widely accepted on early diagnosis of acute kidney injury (AKI). However, which organ is the main source of those two factors and how the concentration of IGFBP7 and TIMP2 changed in serum during AKI still remain to be defined. Methods: In mice, gene transcription and protein levels of IGFBP7/TIMP2 in the heart, liver, spleen, lung, and kidney were measured in both ischaemia-reperfusion injury (IRI)- and cisplatin-induced AKI models. Serum IGFBP7 and TIMP2 levels were measured and compared in patients before cardiac surgery, and at inclusion (0 h), 2 h, 6 h and 12 h after Intensive Care Unit (ICU) admission, and compared with serum creatinine, blood urea nitrogen (BUN), estimated glomerular filtration rate (eGFR) and serum uric acid (UA). Results: In mouse IRI-AKI model, compared with the sham group, the expression levels of IGFBP7 and TIMP2 did not change in the kidney, but significantly upregulated in the spleen and lung. Compared with patients who did not develop AKI, the concentration of serum IGFBP7 at as early as 2 h after ICU admission (s[IGFBP7]-2 h) was significantly higher in patients who developed AKI. The relationships between s[IGFBP7]-2 h in AKI patients and log2(SCr), log2(BUN), log2(eGFR), and log2(UA) were statistically significant. The diagnostic performance of s[IGFBP7]-2 h measured by the macro-averaged area under the receiver operating characteristic curve (AUC) was 0.948 ([95% CI], 0.853 to 1.000; P&lt;0.001). Discussion/Conclusion: The spleen and lung might be the main source of serum IGFBP7 and TIMP2 during AKI. The serum IGFBP7 value demonstrated good predictive accuracy for AKI following cardiac surgery within 2 h after ICU admission.
DOI: 10.6084/m9.figshare.23506464
title: Table S1–S11.xls

description: <strong>Table S1</strong>. Mating paris of artificial mating to produce PopLFM1. <strong>Table S2</strong>. Mating paris of artificial mating to produce PopLFM2. <strong>Table S3</strong>. Phenotype information of each individual from PopFM. <strong>Table S4</strong>. Phenotype information of each individual for PopLFM1. <strong>Table S5</strong>. Phenotype information of each individual for PopLFM2. <strong>Table S6</strong>. Reads statistics for GRAS-Di of each individual for PopFM. <strong>Table S7</strong>. Reads statistics for GRAS-Di of each individual from PopLFM1. <strong>Table S8</strong>. Reads statistics for GRAS-Di of each individual from PopLFM2. <strong>Table S9</strong>. Results of SNP effect estimation and GWAS for PopFM. <strong>Table S10</strong>. Results of SNP effect estimation and GWAS for PopLFM1. <strong>Table S11</strong>. Results of SNP effect estimation and GWAS for PopLFM2
DOI: 10.6084/m9.figshare.23506464.v1
title: Table S1–S11.xls

description: <strong>Table S1</strong>. Mating paris of artificial mating to produce PopLFM1. <strong>Table S2</strong>. Mating paris of artificial mating to produce PopLFM2. <strong>Table S3</strong>. Phenotype information of each individual from PopFM. <strong>Table S4</strong>. Phenotype information of each individual for PopLFM1. <strong>Table S5</strong>. Phenotype information of each individual for PopLFM2. <strong>Table S6</strong>. Reads statistics for GRAS-Di of each individual for PopFM. <strong>Table S7</strong>. Reads statistics for GRAS-Di of each individual from PopLFM1. <strong>Table S8</strong>. Reads statistics for GRAS-Di of each individual from PopLFM2. <strong>Table S9</strong>. Results of SNP effect estimation and GWAS for PopFM. <strong>Table S10</strong>. Results of SNP effect estimation and GWAS for PopLFM1. <strong>Table S11</strong>. Results of SNP effect estimation and GWAS for PopLFM2
DOI: 10.5281/zenodo.8027326
title: ITTV - A Dataset of Italian Television for Automatic Genre Classification

description: ITTV is a publicly available dataset of Italian TV programs introduced in Alessandro Ilic Mezza, Paolo Sani, and Augusto Sarti, "Automatic TV Genre Classification Based on Visually-Conditioned Deep Audio Features," in 2023 31st European Signal Processing Conference (EUSIPCO), 2023. ITTV consists of 2625 manually annotated YouTube videos, totaling over 670 hours. Each clip is assigned one of seven classes: Cartoons Commercials Football Music News Talk Shows Weather Forecast ITTV genre taxonomy is similar to that of the well-known RAI dataset described in Maurizio Montagnuolo and Alberto Messina, "Parallel neural networks for multimodal video genre classification,” Multimedia Tools and Applications, vol. 41, no. 1, pp. 125–159, 2009. The dataset contains genre annotations and metadata in CSV format. Please note that audio data is not provided. We provide the annotations for a balanced training (1575 clips) and validation (525 clips) split, as well as for a disjoint test set containing 525 installments from TV programs not included in the development set. As YouTube continuously updates, some videos may not be available in the future. Although we intend to keep ITTV updated as best as possible, please note that some content may not be available at any given time. Some YouTube videos (especially from the <code>Football</code> class and, to a lesser extent, the <code>Cartoons</code> class) may only be available in some countries due to regional restrictions imposed by the content creator. All videos are known to be accessible from Italy (last accessed on Nov. 25th, 2022.)<br> <br> Please contact Alessandro Ilic Mezza for further questions (e-mail: alessandroilic.mezza@polimi.it).
DOI: 10.5281/zenodo.8022713
title: The dataset of inline comment generation (ICG)

description: This repository stores the dataset of inline comment generation. You can find more details, analyses, and baseline results in our paper "ICG: A Benchmark Dataset for Inline Comments Generation Task".
DOI: 10.5281/zenodo.8022712
title: The dataset of inline comment generation (ICG)

description: This repository stores the dataset of inline comment generation. You can find more details, analyses, and baseline results in our paper "ICG: A Benchmark Dataset for Inline Comments Generation Task".
DOI: 10.57724/jci_20230103_challenge_imd
title: CHALLENGE-2: Invertebrates marine debris
DOI: 10.57724/hes_20230103_challenge_als
title: Algae sampling of the project CHALLENGE-2
DOI: 10.5519/qd.e9cd6df6
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (8005 records)
DOI: 10.57724/hes_20230103_challenge_bbs
title: CHALLENGE-2: Benthic Biodiversity Squares
DOI: 10.57724/hes_20230103_challenge_mde
title: CHALLENGE-2: Marine debris
DOI: 10.57724/hes_20230103_challenge_afa
title: CHALLENGE-2: Antarctic Algae Samples Fatty Acid Composition Study
DOI: 10.57724/hes_20230103_challenge_mcs
title: CHALLENGE-2: Antarctic Marine Calcifier Samples
DOI: 10.57724/hes_20230103_challenge_evs
title: CHALLENGE-2: Environmental Variables Seawater
DOI: 10.25375/uct.22344268
title: Attributing the driving mechanisms of the 2015-2017 drought in the Western Cape (South Africa) using self-organising maps

description: The data described here are from Odoulami et al. (2023): Odoulami, R.C., Wolski, P., and New, M. (2023). Attributing the driving mechanisms of the 2015-2017 drought in the Western Cape (South Africa) using self-organising maps. Environmental Research Letters. Here is the abstract: <br> <strong>Abstract</strong> The Southwestern Cape (SWC) region in South Africa experienced a severe rainfall deficit between 2015-2017. The resulting drought caused the City of Cape Town to almost run out of water during the summer of 2017-2018. Using the self-organising maps approach, we identify and classify the synoptic circulation states over Southern Africa known to influence the local climate in the SWC into three groups (dry, intermediate, and wet circulation types) using large ensembles of climate model simulations with anthropogenic forcing and natural forcing. We then assessed the influence of anthropogenic climate change on the likelihood of these circulation types and associated rainfall amounts over the SWC during the drought. Our findings suggest that during the drought, the frequency of dry (wet) circulation types increases (decreases) across all models under anthropogenic forcing relative to the natural forcing. While there was no clear direction in the associated rainfall change in the dry circulation types, rainfall decreased across most models in wet nodes. All models agree that anthropogenic climate change has increased the likelihood of dry circulation types (median probability ratio (PR): 0.93 to 0.96) and decreased that of wet circulation types (median PR: 1.01 and 1.12), indicating a shift towards lesser (more) wet (dry) synoptic circulation states and associated rainfall during the drought. The long-term climatology also depicts similar patterns indicating the drought may result from long-term changes in the frequency of wet circulations and their associated rainfall. This study further explains the anthropogenic influence on the dynamic (synoptic circulation states) and thermodynamic (rainfall) factors that influenced the SWC 2015-2017 drought. <br> <br> <br> The Self-Organising Maps (SOMs) datasets were generated by applying the Laboratory of Computer and Information Science at Helsinki University of Technology’s SOM package (see Kohonen et al., 1996 for more details) to CMIP6 and ERA-Interim daily geopotential height data. The associated characteristics of the SOMs (node frequency and rainfall amount) were also generated. All data are in netCDF format. <br> The dataset contains three folders: (i) "1-SOMsGeneratedData" This folder contains the SOMs-generated outputs for each model ensemble and ERA-Interim. (ii) "2-SOMsNodes_NodesFrequency" This folder contains the frequency of each SOMs node for each model ensemble and ERA-Interim. (iii) "3-SOMsNodes_NodesRain" This folder contains rainfall associated with each SOMs node for each model ensemble and ERA-Interim.
DOI: 10.57724/hes_20230103_challenge_wsm
title: CHALLENGE-2: Water samples for metabarcoding
DOI: 10.57724/jci_20230103_challenge_arm
title: CHALLENGE-2: ARMS
DOI: 10.57724/hes_20230103_challenge_igc
title: CHALLENGE-2: Antarctic benthic invertebrate samples for genetic and chemical analysis
DOI: 10.57724/hes_20230103_challenge_pops
title: CHALLENGE-2: Samples Antarctic Echinoderms POPs Study
DOI: 10.6084/m9.figshare.23506539
title: Life support knowledge in Ecuadorian Nurses

description: Life support knowledge in Ecuadorian Nurses
DOI: 10.6084/m9.figshare.23506539.v1
title: Life support knowledge in Ecuadorian Nurses

description: Life support knowledge in Ecuadorian Nurses
DOI: 10.5281/zenodo.8024695
title: Immobilized fluorescently stained zebrafish through the eXtended Field of view Light Field Microscope 2D-3D dataset

description: <strong>Immobilized fluorescently stained zebrafish through the eXtended Field of view Light Field Microscope 2D-3D dataset</strong> This dataset comprises three immobilized fluorescently stained zebrafish imaged through the eXtended Field of view Light Field Microscope (XLFM, also known as Fourier Light Field Microscope). The images were preprocessed with the SLNet, which extracts the sparse signals from the images (a.k.a. the neural activity). If you intend to use this with Pytorch, you can find a data loader and working source code to load and train networks here. This dataset is part of the publication: Fast light-field 3D microscopy with out-of-distribution detection and adaptation through Conditional Normalizing Flows. The fish present are: 1x NLS GCaMP6s 1x Pan-neuronal nuclear localized GCaMP6s Tg(HuC:H2B:GCaMP6s) 1x Soma localized GCaMP7f Tg(HuC:somaGCaMP7f) The dataset is structured as follows:: XLFM_dataset <em>Dataset/</em> <em>GCaMP6s_NLS_1/</em> <em>SLNet_preprocessed/</em> <em>XLFM_image/</em> <em>XLFM_image_stack.tif</em>: tif stack of 600 preprocessed XLFM images. <em>XLFM_stack/</em> <em>XLFM_stack_nnn.tif</em>: 3D stack corresponding to frame nnn. <em>Neural_activity_coordinates.csv</em>: 3D coordinates of neurons found through the suite2p framework. <em>Raw/</em> <em>XLFM_image/</em> <em>XLFM_image_stack.tif:</em> tif stack of 600 raw XLFM images. (other samples) <em>lenslet_centers_python.txt</em>: 2D coordinates of the lenset in the XLFM images. <em>PSF_241depths_16bit.tif: 3D PSF of the microscope can be used for 3D deconvolution. Spanning 734 × 734 × 550𝜇𝑚3 used to deconvolve this volumes. </em> In this dataset, we provide a subset of the images and volumes. Due to space constraints, we provide the 3D volumes only for: <em>SLNet_preprocessed/XLFM_stack/</em> 10 interleaved frames between frames 0-499 (can be used for training a network). 20 consecutive frames, 500-520 (can be used for testing). <em>raw/</em> No volumes are provided for raw data, but they can be reconstructed through 3D deconvolution. Enjoy, and feel free to contact us for any information request, like the full PSF, 3 more samples or longer image sequences.
description: J. Page Vizcaíno is supported by the Deutsche Forschungsgemeinschaft (LA 3264/2-1). Z. Wang, P. Symvoulidis and E. S. Boyden acknowledge the Alan Foundation, HHMI, Lisa Yang, NIH R01DA029639, NIH 1R01MH123977, NIH R01MH122971, NIH RF1NS113287, NSF 1848029, NIH 1R01DA045549, and John Doerr. P. Favaro acknowledges the interdisciplinary project funding UniBE ID Grant 2018 of the University of Bern.
DOI: 10.3886/e192145
title: Replication data for:Forward-looking Disclosure and Mispricing

description: There are two different views on the relationship between forward-looking disclosure (FLD) and mispricing of firm value: one view is that FLD increases the disclosure of private firm information and improves mispricing; the other view is that FLD disclosure is management-adjusted, too much FLD distorts true information and worsens mispricing. This paper examines the relationship between FLD and mispricing using a sample of 15,113 Chinese A-share listed companies. Our findings support that FLD increases transparency and mitigates mispricing. There is a serious endogeneity problem between FLD and mispricing, and our results remain robust to the instrumental variables approach. We find some evidence on an transparency mechanism between FLD and mispricing. Further analysis shows that the effect of FLD on mispricing varies across external environments. For firms with less competitive external product markets and firms with lower marketization processes, more FLD is expected to be more favorable for disclosure.