cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3902687
title: BIDMC Blood Oxygen Saturation Dataset (32 seconds window)

description: This dataset is part of the Monash, UEA & UCR time series regression repository. http://tseregression.org/ <br> The goal of this dataset is to estimate blood oxygen saturation level using PPG and ECG data. This dataset contains 7949 time series obtained from the Physionet's BIDMC PPG and Respiration dataset, which was extracted from the much larger MIMIC II waveform database.<br> <br> Please refer to https://physionet.org/content/bidmc/1.0.0/ for more details<br> <br> Relevant papers<br> Pimentel, M.A.F. et al. Towards a Robust Estimation of Respiratory Rate from Pulse Oximeters. IEEE Transactions on Biomedical Engineering, 64(8), pp.1914-1923, 2016. [DOI: 10.1109/TBME.2016.2613124](http://doi.org/10.1109/TBME.2016.2613124).<br> <br> Citation request<br> Pimentel, M.A.F. et al. Towards a Robust Estimation of Respiratory Rate from Pulse Oximeters. IEEE Transactions on Biomedical Engineering, 64(8), pp.1914-1923, 2016. [DOI: 10.1109/TBME.2016.2613124](http://doi.org/10.1109/TBME.2016.2613124).<br> Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.
DOI: 10.5281/zenodo.3902728
title: PPGDalia Dataset

description: This dataset is part of the Monash, UEA & UCR time series regression repository. http://tseregression.org/ This dataset is created from the publicly available PPG-DaLiA dataset for PPG-based heart rate estimation. This multimodal dataset features physiological and motion data, recorded from both a wrist- and a chest-worn device, of 15 subjects while performing a wide range of activities under close to real-life conditions. The included ECG data provides heart rate ground truth. The included PPG- and 3D-accelerometer data can be used for heart rate estimation, while compensating for motion artefacts. The dataset contains 64700 time series with 4 dimensions. Please refer to https://archive.ics.uci.edu/ml/datasets/PPG-DaLiA for more details.<br> <br> Citation request<br> [1] Attila Reiss, Ina Indlekofer, Philip Schmidt, and Kristof Van Laerhoven. 2019. Deep PPG: Large-scale Heart Rate Estimation with Convolutional Neural Networks. MDPI Sensors, 19(14).
DOI: 10.5281/zenodo.3902727
title: PPGDalia Dataset

description: This dataset is part of the Monash, UEA & UCR time series regression repository. http://tseregression.org/ This dataset is created from the publicly available PPG-DaLiA dataset for PPG-based heart rate estimation. This multimodal dataset features physiological and motion data, recorded from both a wrist- and a chest-worn device, of 15 subjects while performing a wide range of activities under close to real-life conditions. The included ECG data provides heart rate ground truth. The included PPG- and 3D-accelerometer data can be used for heart rate estimation, while compensating for motion artefacts. The dataset contains 64700 time series with 4 dimensions. Please refer to https://archive.ics.uci.edu/ml/datasets/PPG-DaLiA for more details.<br> <br> Citation request<br> [1] Attila Reiss, Ina Indlekofer, Philip Schmidt, and Kristof Van Laerhoven. 2019. Deep PPG: Large-scale Heart Rate Estimation with Convolutional Neural Networks. MDPI Sensors, 19(14).
DOI: 10.17608/k6.auckland.14273606.v2
title: Supplementary data 1. Input SNP information

description: The file contains a list of 18 autoimmune diseases (AiDs) included in the study. It also contains complete information on the genome-wide association study summary statistics of the input SNPs associated with 18 AiDs used for the analysis.
DOI: 10.17608/k6.auckland.14273606.v1
title: Input SNP information

description: The file contains a list of 18 autoimmune diseases (AiDs) included in the study. It also contains complete information on the genome-wide association study summary statistics of the input SNPs associated with 18 AiDs used for the analysis.
DOI: 10.6084/m9.figshare.14273342
title: Rapid tomographic vibrometry I/Q signals

description: This data set contains tomographic vibration sequence data for glass film and PZT.
DOI: 10.6084/m9.figshare.14273342.v2
title: Rapid tomographic vibrometry I/Q signals

description: This data set contains tomographic vibration sequence data for glass film and PZT.
DOI: 10.6084/m9.figshare.14273342.v1
title: Dataset1_IQsignals.zip

description: This data set contains tomographic vibration sequence data for glass film and PZT.
DOI: 10.7298/4mdh-4e97
title: Model output datasets for: Constraining the atmospheric limb of the plastic cycle
DOI: 10.5281/zenodo.4632467
title: Data for BubbleNet code & micro-bubbles system dynamics simulation

description: This file contains the dataset and the initial version of code used for BubbleNet. BubbleNet is a novel deep learning frame work building on top of Physics-Informed Neural Networks used for predicting micro-bubble system dynamics widely applied in bioengineering, chemical engineering, medical engineering, etc. The file includes the simulation program, the data for deep learning training, the original code for running the program & the code for generating the figure.
description: This is not the official published version.
DOI: 10.17608/k6.auckland.14273606
title: Supplementary data 1. The 18 autoimmune diseases (AiDs) associated input SNPs information

description: The file contains a list of 18 autoimmune diseases (AiDs) included in the study. It also contains complete information on the genome-wide association study summary statistics of the input SNPs associated with 18 AiDs used for the analysis.
DOI: 10.17608/k6.auckland.14273606.v4
title: Supplementary data 1. The 18 autoimmune diseases (AiDs) associated input SNPs information

description: The file contains a list of 18 autoimmune diseases (AiDs) included in the study. It also contains complete information on the genome-wide association study summary statistics of the input SNPs associated with 18 AiDs used for the analysis.
DOI: 10.17608/k6.auckland.14273606.v3
title: Supplementary data 1. Input SNPs information

description: The file contains a list of 18 autoimmune diseases (AiDs) included in the study. It also contains complete information on the genome-wide association study summary statistics of the input SNPs associated with 18 AiDs used for the analysis.
DOI: 10.17608/k6.auckland.14273654.v1
title: Supplementary data 4. A list of the pleiotropic SNPs identified between 18 AIDs

description: We identified 186 pleiotropic SNPs (<i>i.e., </i>same loci associated with multiple AiDs) that were associated with more than two AiDs. Majority of them (N=60) are shared between Crohn's disease (CRD) and Ulcerative colitis (ULC). Here, we have presented the list of pleiotropic SNPs and the associated diseases. For disease abbreviations, check Supplementary data 1.
DOI: 10.6084/m9.figshare.11967801.v1
title: The induction and reversibility of horns of Ceriodaphnia cornuta under varied intensities of predation risks and their defensive effectiveness against Chaoborus larvae

description: Inducible defenses are widespread, while, fully understanding the expression and reversion patterns of inducible traits in the fluctuation of predators is still a challenge. By focusing on the inducible horns of <i>Ceriodaphnia cornuta</i>, the present study tested the induction and reversibility of horns under varied predation density. Additionally, we measured the defensive effectiveness of induced horn formation. Our results revealed horns of <i>Ceriodaphnia</i> could be an effective inducible defensive trait against <i>Chaoborus</i> larvae predation. Furthermore, the responsive time, rate, and intensity during the induction and reversion were well acclimated to increasing predation risks. The present study will contribute to our understanding of the relationship between predators and prey in heterogeneous aquatic environments.
DOI: 10.6084/m9.figshare.11967801
title: Induction and reversibility of Ceriodaphnia cornuta horns under varied intensity of predation risk and their defensive effectiveness against Chaoborus larvae

description: Freshwater Biology, 2021, DOI:10.1111/FWB.13710
DOI: 10.6084/m9.figshare.11967801.v3
title: Induction and reversibility of Ceriodaphnia cornuta horns under varied intensity of predation risk and their defensive effectiveness against Chaoborus larvae

description: Freshwater Biology, 2021, DOI:10.1111/FWB.13710
DOI: 10.6084/m9.figshare.11967801.v2
title: Induction and reversibility of Ceriodaphnia cornuta horns under varied intensity of predation risk and their defensive effectiveness against Chaoborus larvae

description: Freshwater Biology, 2021, DOI:10.1111/FWB.13710
DOI: 10.6084/m9.figshare.14251661
title: Raw data for Experiment 2 in "A comparison of the apparent gloss of rendered objects presented in the lower and upper regions of the visual field"

description: Raw data for Experiment 2 in "A comparison of the apparent gloss of rendered objects presented in the lower and upper regions of the visual field".
DOI: 10.6084/m9.figshare.14219753
title: Raw data for Experiment 1 in "A comparison of the apparent gloss of rendered objects presented in the lower and upper regions of the visual field"

description: Raw data for Experiment 1 in "A comparison of the apparent gloss of rendered objects presented in the lower and upper regions of the visual field".
DOI: 10.6084/m9.figshare.14219753.v1
title: Raw data for Experiment 1 in "A comparison of the apparent gloss of rendered objects presented in the lower and upper regions of the visual field"

description: Raw data for Experiment 1 in "A comparison of the apparent gloss of rendered objects presented in the lower and upper regions of the visual field".
DOI: 10.5517/ccdc.csd.cc265h63
title: CCDC 2031064: Experimental Crystal Structure Determination

description: Related Article: Guo-Bi Li, Zhong Zhang, Lu-Sheng Liao, Rong-Kai Pan, Sheng-Gui Liu|2021|Spectrochim.Acta,Part A|254|119588|doi:10.1016/j.saa.2021.119588
DOI: 10.5517/ccdc.csd.cc265h74
title: CCDC 2031065: Experimental Crystal Structure Determination

description: Related Article: Guo-Bi Li, Zhong Zhang, Lu-Sheng Liao, Rong-Kai Pan, Sheng-Gui Liu|2021|Spectrochim.Acta,Part A|254|119588|doi:10.1016/j.saa.2021.119588
DOI: 10.5517/ccdc.csd.cc265h85
title: CCDC 2031066: Experimental Crystal Structure Determination

description: Related Article: Guo-Bi Li, Zhong Zhang, Lu-Sheng Liao, Rong-Kai Pan, Sheng-Gui Liu|2021|Spectrochim.Acta,Part A|254|119588|doi:10.1016/j.saa.2021.119588
DOI: 10.13139/ornlnccs/1771934
title: SMC2021 Where to go in atomic world

description: 'Graphene_CrSi.npy' contains a scanning transmission electron microscopy (STEM) movie from graphene monolayer. The movie is a sequence of atom-resolved images from the same sample region that undergoes chemical and structural transformations due to interaction with electron beam (which is used to perform imaging). 'topo_defects.npy' contains coordinates of some of the objects of interest (topological defects in graphene). It is a dictionary, where keys are frame numbers and values are xy coordinates. These objects are usually localized in relatively small areas of the image and we are interested in identifying them without having to scan an entire grid (which leads to fast degradation of the sample).
DOI: 10.6084/m9.figshare.14169434
title: Supplemental Table S1.

description: <b>List of candidate genes for primer sequences and Taqman probe ID.</b>
DOI: 10.6084/m9.figshare.14169434.v1
title: Supplemental Table S1.

description: <b>List of candidate genes for primer sequences and Taqman probe ID.</b>
DOI: 10.5281/zenodo.4632512
title: Monash, UEA & UCR Time Series Regression Datasets

description: This contains all the datasets used for Time Series Extrinsic Regression (TSER). Please refer to the website http://tseregression.org/ for more details.
DOI: 10.5281/zenodo.3902650
title: Monash, UEA & UCR Time Series Regression Datasets

description: This contains all the datasets used for Time Series Extrinsic Regression (TSER). Please refer to the website http://tseregression.org/ for more details.
DOI: 10.6084/m9.figshare.14169440
title: Supplemental Table S2

description: <b>The number of DEGs and significantly enriched pathways from renal transcriptomic profiles.</b>
DOI: 10.6084/m9.figshare.14169449
title: Supplemental Table S3.

description: <b>Comparison of DEGs in murine renal transcriptomes identified in CKD patients.</b>
DOI: 10.5281/zenodo.4632569
title: Sustainability Literacy

description: All relevant data used for Grounded Theory analysis.
DOI: 10.6084/m9.figshare.14274092.v1
title: Additional file 1 of The role of EORTC QLQ-C15-PAL scores and inflammatory biomarkers in predicting survival in terminally ill patients with cancer

description: Additional file 1.
DOI: 10.6084/m9.figshare.14274092
title: Additional file 1 of The role of EORTC QLQ-C15-PAL scores and inflammatory biomarkers in predicting survival in terminally ill patients with cancer

description: Additional file 1.
DOI: 10.6084/m9.figshare.14274088.v1
title: Additional file 1 of Workplace gender-based violence and associated factors among university women in Enugu, South-East Nigeria: an institutional-based cross-sectional study

description: Additional file 1: Reliability test results for MWIS.
DOI: 10.6084/m9.figshare.14274091
title: Additional file 2 of Workplace gender-based violence and associated factors among university women in Enugu, South-East Nigeria: an institutional-based cross-sectional study

description: Additional file 2: Reliability test results for WIS.
DOI: 10.6084/m9.figshare.14274094
title: Additional file 3 of Workplace gender-based violence and associated factors among university women in Enugu, South-East Nigeria: an institutional-based cross-sectional study

description: Additional file 3: Reliability test results for NAQ-R.
DOI: 10.6084/m9.figshare.14274097
title: Additional file 4 of Workplace gender-based violence and associated factors among university women in Enugu, South-East Nigeria: an institutional-based cross-sectional study

description: Additional file 4: Reliability test results for SEQ.
DOI: 10.6084/m9.figshare.14274097.v1
title: Additional file 4 of Workplace gender-based violence and associated factors among university women in Enugu, South-East Nigeria: an institutional-based cross-sectional study

description: Additional file 4: Reliability test results for SEQ.
DOI: 10.6084/m9.figshare.14274094.v1
title: Additional file 3 of Workplace gender-based violence and associated factors among university women in Enugu, South-East Nigeria: an institutional-based cross-sectional study

description: Additional file 3: Reliability test results for NAQ-R.
DOI: 10.6084/m9.figshare.14274088
title: Additional file 1 of Workplace gender-based violence and associated factors among university women in Enugu, South-East Nigeria: an institutional-based cross-sectional study

description: Additional file 1: Reliability test results for MWIS.
DOI: 10.6084/m9.figshare.14274091.v1
title: Additional file 2 of Workplace gender-based violence and associated factors among university women in Enugu, South-East Nigeria: an institutional-based cross-sectional study

description: Additional file 2: Reliability test results for WIS.
DOI: 10.6084/m9.figshare.14274121.v1
title: Additional file 1 of Human cell-dependent, directional, time-dependent changes in the mono- and oligonucleotide compositions of SARS-CoV-2 genomes

description: Additional file 1: Fig. S1. Average di- and trinucleotide compositions (A and B) of for SARS-CoV-2 strains collected in each elapsed month. Fig. S2. Oligonucleotide compositions of human and bat coronavirus sequences. Fig. S3. Differences in oligonucleotide composition between SARS-CoV-2 and human-CoV.
DOI: 10.6084/m9.figshare.14274121
title: Additional file 1 of Human cell-dependent, directional, time-dependent changes in the mono- and oligonucleotide compositions of SARS-CoV-2 genomes

description: Additional file 1: Fig. S1. Average di- and trinucleotide compositions (A and B) of for SARS-CoV-2 strains collected in each elapsed month. Fig. S2. Oligonucleotide compositions of human and bat coronavirus sequences. Fig. S3. Differences in oligonucleotide composition between SARS-CoV-2 and human-CoV.
DOI: 10.6084/m9.figshare.14274124.v1
title: Additional file 2 of Human cell-dependent, directional, time-dependent changes in the mono- and oligonucleotide compositions of SARS-CoV-2 genomes

description: Additional file 2: Table S1. List of SARS-CoV-2 strains used in the analysis. Table S2. List of human-and bat-CoV strains used in the analysis. Table S3. Number of SARS-CoV-2 strains in each clade isolated in each elapsed month. Table S4. Average oligonucleotide compositions for SARS-CoV-2 strains in each clade isolated in each elapsed month. Table S5. Correlation coefficients for time-dependent changes in oligonucleotide compositions of SARS-CoV-2. Table S6. Fold change in compositions between strains of the first and last month of the analysis. Table S7. Distance between the oligonucleotide composition of SARS-CoV-2 isolated in each elapsed month and that of human-CoV. Table S8. Correlation coefficients for time-series changes in the distance between oligonucleotide compositions of SARS-CoV-2 and human-CoV. Table S9. List of RNA-binding motifs. Table S10. Numbers of motif-containing loci for RNA-binding proteins whose abundance increases or decreases between strains of the first and last month of the analysis. Table S11. P-value from t-test to analyze the number of RNA-binding motif loci whose abundance increases or decreases between strains of the first and last month of the analysis. Table S12. Correlation coefficients for time-dependent changes in the number of loci containing RNA-binding motifs.
DOI: 10.6084/m9.figshare.14274124
title: Additional file 2 of Human cell-dependent, directional, time-dependent changes in the mono- and oligonucleotide compositions of SARS-CoV-2 genomes

description: Additional file 2: Table S1. List of SARS-CoV-2 strains used in the analysis. Table S2. List of human-and bat-CoV strains used in the analysis. Table S3. Number of SARS-CoV-2 strains in each clade isolated in each elapsed month. Table S4. Average oligonucleotide compositions for SARS-CoV-2 strains in each clade isolated in each elapsed month. Table S5. Correlation coefficients for time-dependent changes in oligonucleotide compositions of SARS-CoV-2. Table S6. Fold change in compositions between strains of the first and last month of the analysis. Table S7. Distance between the oligonucleotide composition of SARS-CoV-2 isolated in each elapsed month and that of human-CoV. Table S8. Correlation coefficients for time-series changes in the distance between oligonucleotide compositions of SARS-CoV-2 and human-CoV. Table S9. List of RNA-binding motifs. Table S10. Numbers of motif-containing loci for RNA-binding proteins whose abundance increases or decreases between strains of the first and last month of the analysis. Table S11. P-value from t-test to analyze the number of RNA-binding motif loci whose abundance increases or decreases between strains of the first and last month of the analysis. Table S12. Correlation coefficients for time-dependent changes in the number of loci containing RNA-binding motifs.
DOI: 10.6084/m9.figshare.14274151.v1
title: Additional file 3 of High spatial resolution magnetic mapping using ultra-high sensitivity scanning SQUID microscopy on a speleothem from the Kingdom of Tonga, southern Pacific

description: Additional file 4: Table S1. δ13C, 14C ages, unmodelled calibrated ages and modeled ages for subsamples of the stalagmite.
DOI: 10.6084/m9.figshare.14274151
title: Additional file 3 of High spatial resolution magnetic mapping using ultra-high sensitivity scanning SQUID microscopy on a speleothem from the Kingdom of Tonga, southern Pacific

description: Additional file 4: Table S1. δ13C, 14C ages, unmodelled calibrated ages and modeled ages for subsamples of the stalagmite.
DOI: 10.6084/m9.figshare.14274164.v1
title: Additional file 1 of Neuroanatomy and behavior in mice with a haploinsufficiency of AT-rich interactive domain 1B (ARID1B) throughout development

description: Additional file 1: Differentially expressed genes measured with an exploratory transcriptome analysis (RNA sequencing).
DOI: 10.6084/m9.figshare.14274164
title: Additional file 1 of Neuroanatomy and behavior in mice with a haploinsufficiency of AT-rich interactive domain 1B (ARID1B) throughout development

description: Additional file 1: Differentially expressed genes measured with an exploratory transcriptome analysis (RNA sequencing).
DOI: 10.6084/m9.figshare.14274179
title: Additional file 5 of Neuroanatomy and behavior in mice with a haploinsufficiency of AT-rich interactive domain 1B (ARID1B) throughout development

description: Additional file 5: Summary table of the Genotype, Genotype by Age, Genotype by Sex, and Genotype by Age by Sex Effects for the regional differences in the in vivo dataset.
DOI: 10.6084/m9.figshare.14274179.v1
title: Additional file 5 of Neuroanatomy and behavior in mice with a haploinsufficiency of AT-rich interactive domain 1B (ARID1B) throughout development

description: Additional file 5: Summary table of the Genotype, Genotype by Age, Genotype by Sex, and Genotype by Age by Sex Effects for the regional differences in the in vivo dataset.
DOI: 10.6084/m9.figshare.14274182
title: Additional file 6 of Neuroanatomy and behavior in mice with a haploinsufficiency of AT-rich interactive domain 1B (ARID1B) throughout development

description: Additional file 6: Summary table of the absolute and relative volume differences across the regions in the full group (males and females) and males and females separately.
DOI: 10.6084/m9.figshare.14274182.v1
title: Additional file 6 of Neuroanatomy and behavior in mice with a haploinsufficiency of AT-rich interactive domain 1B (ARID1B) throughout development

description: Additional file 6: Summary table of the absolute and relative volume differences across the regions in the full group (males and females) and males and females separately.
DOI: 10.6084/m9.figshare.14274185
title: Additional file 1 of The influence of supraliminal priming on energy density of food selection: a randomised control trial

description: Additional file 1. Dataset, Dataset, all anonymised raw questionnaire data.
DOI: 10.6084/m9.figshare.14274185.v1
title: Additional file 1 of The influence of supraliminal priming on energy density of food selection: a randomised control trial

description: Additional file 1. Dataset, Dataset, all anonymised raw questionnaire data.
DOI: 10.6084/m9.figshare.14274215
title: Additional file 1 of Genetic relatedness of multidrug resistant Escherichia coli isolated from humans, chickens and poultry environments

description: Additional file1: Supplementary Data.
DOI: 10.6084/m9.figshare.14274215.v1
title: Additional file 1 of Genetic relatedness of multidrug resistant Escherichia coli isolated from humans, chickens and poultry environments

description: Additional file1: Supplementary Data.
DOI: 10.6084/m9.figshare.14274260.v1
title: Additional file 13 of Large-scale transcriptomics to dissect 2 years of the life of a fungal phytopathogen interacting with its host plant

description: Additional file 13: Table S3. Detection and cluster distribution of PKS and NRPS genes among the 1207 Leptosphaeria maculans genes upregulated in planta. (PDF 31 kb)
DOI: 10.6084/m9.figshare.14274260
title: Additional file 13 of Large-scale transcriptomics to dissect 2 years of the life of a fungal phytopathogen interacting with its host plant

description: Additional file 13: Table S3. Detection and cluster distribution of PKS and NRPS genes among the 1207 Leptosphaeria maculans genes upregulated in planta. (PDF 31 kb)