cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6783470.v3
title: online supplementary materials for Jordanian wild oat GBS

description: This is the online supplementary material for the paper "Alhajaj N, Peterson GW, Horbach C, Al-Shamaa K, Tinker NA, Fu YB (2018) Genotyping-by-sequencing empowered genetic diversity analysis of Jordanian oat wild relative Avena sterilis. Genetic Resources and Crop Evolution 65:2069–2082"<br> Note that the original published Table S1 had errors in column labels for latitude and longitude. A new upated file was uploaded here <br> Also, the published Table 1 misplaced Latitude and Longitude reading for some populatins and the corrected Table 1 was uploaded here
DOI: 10.6084/m9.figshare.6783470.v2
title: online supplementary materials for Jordanian wild oat GBS

description: This is the online supplementary material for the paper "Alhajaj N, Peterson GW, Horbach C, Al-Shamaa K, Tinker NA, Fu YB (2018) Genotyping-by-sequencing empowered genetic diversity analysis of Jordanian oat wild relative Avena sterilis. Genetic Resources and Crop Evolution 65:2069–2082"<br> Note that the original published Table S1 had errors in column labels for latitude and longitude. A new upated file was uploaded here
DOI: 10.6084/m9.figshare.22817531
title: <strong>Deep Learning Model of Hiss Waves in the Plasmasphere and Plumes and Their Effects on Radiation Belt Electrons</strong>

description: This is the dataset for the paper 'Deep Learning Model of Hiss Waves in the Plasmasphere and Plumes and Their Effects on Radiation Belt Electrons'. The paper is submitted to Frontiers in Astronomy and Space Sciences.
DOI: 10.5281/zenodo.7950616
title: Near-surface model wind

description: Near surface u and v wind, from Unified Model nesting suite u-ct753. Data is for 20200701-20200704 at hourly intervals. Data is on a dx=dy=1.5 km grid. Using a rotated coordinate system. The central latitude and longitude of each limited area model (LAM) is given in the .dat file. Map of locations is in .png file. Land-sea mas for each domain is in .maskfiles. This data is intended for looking at near-surface wind over the sea, so only LAMs minaly over the sea have their u and v wind uploaded.
DOI: 10.5281/zenodo.7950615
title: Near-surface model wind

description: Near surface u and v wind, from Unified Model nesting suite u-ct753. Data is for 20200701-20200704 at hourly intervals. Data is on a dx=dy=1.5 km grid. Using a rotated coordinate system. The central latitude and longitude of each limited area model (LAM) is given in the .dat file. Map of locations is in .png file. Land-sea mas for each domain is in .maskfiles. This data is intended for looking at near-surface wind over the sea, so only LAMs minaly over the sea have their u and v wind uploaded.
DOI: 10.5281/zenodo.7970328
title: Near-surface model wind

description: Near surface u and v wind, from Unified Model nesting suite u-ct753. Data is for 20200701-20200704 at hourly intervals. Data is on a dx=dy=1.5 km grid. Using a rotated coordinate system. The central latitude and longitude of each limited area model (LAM) is given in the .dat file. Map of locations is in .png file. Land-sea mas for each domain is in .maskfiles. This data is intended for looking at near-surface wind over the sea, so only LAMs minaly over the sea have their u and v wind uploaded.
DOI: 10.6084/m9.figshare.23154212
title: SampleData

description: Sample data for the publication "Rapid, tunable, and multiplexed detection and quantitation of RNA using convective array PCR" including representative DNA probe array datasets for seven human-infecting coronaviruses and 7 variants of concern of SARS-CoV-2. Images can be analyzed using the code at https://github.com/tr-sullivan/coronavirus-analysis.
DOI: 10.6084/m9.figshare.23154212.v1
title: SampleData

description: Sample data for the publication "Rapid, tunable, and multiplexed detection and quantitation of RNA using convective array PCR" including representative DNA probe array datasets for seven human-infecting coronaviruses and 7 variants of concern of SARS-CoV-2. Images can be analyzed using the code at https://github.com/tr-sullivan/coronavirus-analysis.
DOI: 10.18112/openneuro.ds004577.v1.0.1
title: Dataset containing resting EEG for a sample of 103 normal infants in the first year of life
DOI: 10.5281/zenodo.7014597
title: Datasets for 'Label-free imaging of 3D pluripotent stem cell differentiation dynamics on chip'

description: Here we publish the datasets associated with our publication ‘Label-free imaging of 3D pluripotent stem cell differentiation dynamics<br> on chip’. 3D cultures of human induced pluripotent stem cells (hiPSCs) were imaged while undergoing definitive endoderm (DE) differentiation.<br> Data were acquired either on the live 3D cultures at various time points during the 3 days DE differentiation, or after fixation and immunostaining, with the 3D cultures being fixed at regular 24 h intervals during differentiation, as to form a timeline. Images were recorded with a standard confocal microscope using a xy-resolution of 0.25 μm/px and a z-resolution of 1 μm/plane.
DOI: 10.5281/zenodo.7014598
title: Datasets for 'Label-free imaging of 3D pluripotent stem cell differentiation dynamics on chip'

description: Here we publish the datasets associated with our publication ‘Label-free imaging of 3D pluripotent stem cell differentiation dynamics<br> on chip’. 3D cultures of human induced pluripotent stem cells (hiPSCs) were imaged while undergoing definitive endoderm (DE) differentiation.<br> Data were acquired either on the live 3D cultures at various time points during the 3 days DE differentiation, or after fixation and immunostaining, with the 3D cultures being fixed at regular 24 h intervals during differentiation, as to form a timeline. Images were recorded with a standard confocal microscope using a xy-resolution of 0.25 μm/px and a z-resolution of 1 μm/plane.
DOI: 10.5287/ora-xqv18vnrx
title: Inexpensive multi-plane particle image velocimetry based on defocusing: proof of concept on two-component measurement

description: These are the raw data of the laminar flow rig test presented in the article "Inexpensive multi-plane particle image velocimetry based on defocusing: proof of concept on two-component measurement". They include horizontal and vertical flow directions, focused and defocused images with different plane separations (in which 0mm indicates in-focus images), and different particle displacements (quantified by delta_t of the PIV image pair). Please contact heqichi@outlook.com if you have any queries. Details for accessing the optical engine data is referred to Optical_Engine_Data_Access.txt.
DOI: 10.6084/m9.figshare.23192894
title: hey

description: heyd
DOI: 10.6084/m9.figshare.23192894.v1
title: hey

description: heyd
DOI: 10.5519/qd.0tjz45pv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5549582 records)
DOI: 10.5281/zenodo.7971170
title: Widespread and complex drought effects on vegetation physiology inferred from space

description: This repository contains the datasets used in the research article "<strong>Widespread and complex drought effects on vegetation physiology inferred from space</strong>". The repository contains the following folders: 1) demo_data.zip - contains all the raw datasets used to calculate vegetation physiological components. 2) figure_data.zip - contains all the processed data and additional datasets for creating main figures in the article. Formats: All scripts are in the programming language Python. The datasets are in the NumPy array format. The codes related to the research article are available in the following repository: https://doi.org/10.5281/zenodo.7971319
DOI: 10.5281/zenodo.7971169
title: Widespread and complex drought effects on vegetation physiology inferred from space

description: This repository contains the datasets used in the research article "<strong>Widespread and complex drought effects on vegetation physiology inferred from space</strong>". The repository contains the following folders: 1) demo_data.zip - contains all the raw datasets used to calculate vegetation physiological components. 2) figure_data.zip - contains all the processed data and additional datasets for creating main figures in the article. Formats: All scripts are in the programming language Python. The datasets are in the NumPy array format. The codes related to the research article are available in the following repository: https://doi.org/10.5281/zenodo.7971319
DOI: 10.5519/qd.asc4f9oe
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (14 records)
DOI: 10.5281/zenodo.7968656
title: Antarctica WAP LTER eDNA

description: Antarctica WAP LTER eDNA sequencing dataset files
description: Internal grant from Texas A&M Corpus Christi. National Science Foundation Grant: OPP-1643534
DOI: 10.5281/zenodo.7968655
title: Antarctica WAP LTER eDNA

description: Antarctica WAP LTER eDNA sequencing dataset files
description: Internal grant from Texas A&M Corpus Christi. National Science Foundation Grant: OPP-1643534
DOI: 10.6084/m9.figshare.23193020
title: <em><strong>PBRM1</strong></em><strong> mutations might render a subtype of biliary tract cancers sensitive to DDR targeting drugs </strong> <strong>Zimmer 2023, Data Table</strong>

description: <em>Polybromo-1</em> (<em>PBRM1</em>) loss-of-function mutations are present in a fraction of biliary tract cancers (BTCs). <em>PBRM1</em>, a subunit of the PBAF chromatin-remodeling complex, is involved in DNA damage repair. Herein, we aimed to decipher the molecular landscape of <em>PBRM1</em> mutated (mut) BTCs and to define potential translational aspects. 1,848 BTC samples were analyzed using next-generation DNA-sequencing and immunohistochemistry (Caris Life Sciences, Phoenix, AZ). siRNA-mediated knockdown of <em>PBRM1</em> was performed in the BTC cell line EGI1 to assess therapeutic vulnerabilities of ATR and PARP inhibitors <em>in vitro</em>. <em>PBRM1</em> mutations were identified in 8.1% (n=150) of BTCs and were more prevalent in intrahepatic BTC (9.9%) compared to gallbladder cancer (6.0%) or extrahepatic BTCs (4.5%). Higher rates of co-mutations in chromatin-remodeling genes (e.g., <em>ARID1A 31% vs. 16%</em>) and DNA damage repair genes (e.g., <em>ATRX 4.4% vs. 0.3%</em>) were detected in <em>PBRM1</em>-mutated (mut) <em>vs.</em> <em>PBRM1</em>-wildtype (wt) BTCs. No difference in real-world overall survival was observed between PBRM1-mut and PBRM1-wt patients (HR 1.043, 95%CI 0.821-1.325, p=0.731). <em>In vitro</em> experiments suggested that PARP +/- ATR inhibitors induce synthetic lethality in the <em>PBRM1</em> knockdown BTC model. Our findings served as scientific rationale for PARP inhibition in a heavily pretreated <em>PBRM1-</em>mut BTC patient, which induced disease control.This study represents the largest and most extensive molecular profiling study of <em>PBRM1-</em>mut BTCs, which <em>in vitro</em> sensitizes to DNA damage repair inhibiting compounds. Our findings might serve as rationale for future testing of PARP/ATR inhibitors in <em>PBRM1-</em>mut BTCs.
DOI: 10.6084/m9.figshare.23193020.v1
title: <em><strong>PBRM1</strong></em><strong> mutations might render a subtype of biliary tract cancers sensitive to DDR targeting drugs </strong> <strong>Zimmer 2023, Data Table</strong>

description: <em>Polybromo-1</em> (<em>PBRM1</em>) loss-of-function mutations are present in a fraction of biliary tract cancers (BTCs). <em>PBRM1</em>, a subunit of the PBAF chromatin-remodeling complex, is involved in DNA damage repair. Herein, we aimed to decipher the molecular landscape of <em>PBRM1</em> mutated (mut) BTCs and to define potential translational aspects. 1,848 BTC samples were analyzed using next-generation DNA-sequencing and immunohistochemistry (Caris Life Sciences, Phoenix, AZ). siRNA-mediated knockdown of <em>PBRM1</em> was performed in the BTC cell line EGI1 to assess therapeutic vulnerabilities of ATR and PARP inhibitors <em>in vitro</em>. <em>PBRM1</em> mutations were identified in 8.1% (n=150) of BTCs and were more prevalent in intrahepatic BTC (9.9%) compared to gallbladder cancer (6.0%) or extrahepatic BTCs (4.5%). Higher rates of co-mutations in chromatin-remodeling genes (e.g., <em>ARID1A 31% vs. 16%</em>) and DNA damage repair genes (e.g., <em>ATRX 4.4% vs. 0.3%</em>) were detected in <em>PBRM1</em>-mutated (mut) <em>vs.</em> <em>PBRM1</em>-wildtype (wt) BTCs. No difference in real-world overall survival was observed between PBRM1-mut and PBRM1-wt patients (HR 1.043, 95%CI 0.821-1.325, p=0.731). <em>In vitro</em> experiments suggested that PARP +/- ATR inhibitors induce synthetic lethality in the <em>PBRM1</em> knockdown BTC model. Our findings served as scientific rationale for PARP inhibition in a heavily pretreated <em>PBRM1-</em>mut BTC patient, which induced disease control.This study represents the largest and most extensive molecular profiling study of <em>PBRM1-</em>mut BTCs, which <em>in vitro</em> sensitizes to DNA damage repair inhibiting compounds. Our findings might serve as rationale for future testing of PARP/ATR inhibitors in <em>PBRM1-</em>mut BTCs.
DOI: 10.18112/openneuro.ds004580.v1.0.0
title: Simon-conflict Task.
DOI: 10.5281/zenodo.7971572
title: Scientific Synonymy Concepts

description: Four datasets of scientific synonym sets sourced from ORKG, CS-KG, SemEval 2017 Task 10, and SciERC data. All data taken together consist of 25,214 entities organized in 3,746 sets.
DOI: 10.5281/zenodo.7971571
title: Scientific Synonymy Concepts

description: Four datasets of scientific synonym sets sourced from ORKG, CS-KG, SemEval 2017 Task 10, and SciERC data. All data taken together consist of 25,214 entities organized in 3,746 sets.
DOI: 10.5281/zenodo.7971542
title: Exploring the Diagnostic Markers of Essential Tremor: A study based on Machine Learning Algorithms

description: supplementary information files for the manuscript Exploring the Diagnostic Markers of Essential Tremor: A study based on Machine Learning Algorithms
DOI: 10.5281/zenodo.7971541
title: Exploring the Diagnostic Markers of Essential Tremor: A study based on Machine Learning Algorithms

description: supplementary information files for the manuscript Exploring the Diagnostic Markers of Essential Tremor: A study based on Machine Learning Algorithms
DOI: 10.5281/zenodo.7701710
title: Cryogenic electron ptychographic single particle analysis with wide bandwidth information transfer

description: Advances in cryogenic transmission electron microscopy have revolutionised the determination of many macromolecular structures at atomic or nearatomic resolution. This method is based on conventional defocused phase contrast imaging. However, it has limitations of weaker contrast for small biological molecules embedded in vitreous ice, in comparison with cryo-ptychography, which shows increased contrast. Here we report a single-particle analysis based on the use of ptychographic reconstruction data, demonstrating that three dimensional reconstructions with a wide information transfer bandwidth can be recovered by Fourier domain synthesis. Our work suggests future applications in otherwise challenging single particle analyses, including small macromolecules and heterogeneous or flexible particles. In addition structure determination in situ within cells without the requirement for protein purification and expression may be possible.
description: PW acknowledges funding from the National Natural Science Foundation of China (11874199) and the University of Warwick Research Development Fund (RDF) 2021-22 Science Development Award. LQZ acknowledges The fellowship of China National Postdoctoral Program for Innovative Talents (No. BX2021119) and Project funded by China Postdoctoral Science Foundation (No. 2022M711564). DIS is supported by the UK Medical Research Council (MR/N00065X/1). PZ is supported by the Wellcome Trust (206422/Z/17/Z) and the European Research Council Advanced Grant (101021133). We thank Diamond Light Source for access and support in the use of the electron Physical Science Imaging Centre (Instrument E02, EM17918) that contributed to the results presented.
DOI: 10.5281/zenodo.7701709
title: Cryogenic electron ptychographic single particle analysis with wide bandwidth information transfer

description: Advances in cryogenic transmission electron microscopy have revolutionised the determination of many macromolecular structures at atomic or nearatomic resolution. This method is based on conventional defocused phase contrast imaging. However, it has limitations of weaker contrast for small biological molecules embedded in vitreous ice, in comparison with cryo-ptychography, which shows increased contrast. Here we report a single-particle analysis based on the use of ptychographic reconstruction data, demonstrating that three dimensional reconstructions with a wide information transfer bandwidth can be recovered by Fourier domain synthesis. Our work suggests future applications in otherwise challenging single particle analyses, including small macromolecules and heterogeneous or flexible particles. In addition structure determination in situ within cells without the requirement for protein purification and expression may be possible.
description: PW acknowledges funding from the National Natural Science Foundation of China (11874199) and the University of Warwick Research Development Fund (RDF) 2021-22 Science Development Award. LQZ acknowledges The fellowship of China National Postdoctoral Program for Innovative Talents (No. BX2021119) and Project funded by China Postdoctoral Science Foundation (No. 2022M711564). DIS is supported by the UK Medical Research Council (MR/N00065X/1). PZ is supported by the Wellcome Trust (206422/Z/17/Z) and the European Research Council Advanced Grant (101021133). We thank Diamond Light Source for access and support in the use of the electron Physical Science Imaging Centre (Instrument E02, EM17918) that contributed to the results presented.
DOI: 10.5519/qd.dk321qk2
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6 records)
DOI: 10.5281/zenodo.7971603
title: SPADATAS - OER Available on Internet

description: List of Open Educational Resources regarding Raising awareness of the importance of data privacy in schools Enhance data privacy in data academic management in schools
DOI: 10.5281/zenodo.7971602
title: SPADATAS - OER Available on Internet

description: List of Open Educational Resources regarding Raising awareness of the importance of data privacy in schools Enhance data privacy in data academic management in schools
DOI: 10.5519/qd.69kkc7io
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6 records)
DOI: 10.5281/zenodo.7971628
title: A single center experience of correlation of pulse pressure with mortality of stroke hemorrhage patients in Indonesia

description: This is an article that describes the relationship between the pulse pressure and mortality of stroke hemorrhagic in Indonesia.
DOI: 10.5281/zenodo.7971627
title: A single center experience of correlation of pulse pressure with mortality of stroke hemorrhage patients in Indonesia

description: This is an article that describes the relationship between the pulse pressure and mortality of stroke hemorrhagic in Indonesia.
DOI: 10.5281/zenodo.7971636
title: Simulation data for Doubly Robust Estimation of Business Process Intervention

description: Event logs of simulated execution of two variants of the same process. A case matrix that contain the outcome, the intervention, and the confounders.
DOI: 10.5281/zenodo.7971635
title: Simulation data for Doubly Robust Estimation of Business Process Intervention

description: Event logs of simulated execution of two variants of the same process. A case matrix that contain the outcome, the intervention, and the confounders.
DOI: 10.5281/zenodo.4458866
title: ChinaHighPM2.5: VIIRS 6 km Ground-level PM2.5 Dataset for China

description: ChinaHighPM<sub>2.5</sub> is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from the big data (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence by considering the spatiotemporal heterogeneity of air pollution. This is the VIIRS derived yearly 6 km ground-level PM<sub>2.5</sub> dataset in China from 2013 to 2018, and this dataset yields a high quality with a cross-validation coefficient of determination (CV-R<sup>2</sup>) reaching 0.88 and a root-mean-square error (RMSE) of 16.52 µg m<sup>-3</sup> on a daily basis. If you use the ChinaHighPM<sub>2.5</sub> dataset for related scientific research, please cite the corresponding reference (Wei et al., TGRS, 2022): Wei, J., Li, Z., Sun, L., Xue, X., Ma, Z., Liu, L., Fan, T., and Cribb, M. Extending the EOS long-term PM<sub>2.5</sub> data records since 2013 in China: application to the VIIRS Deep Blue aerosol products. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 2022, 60, 4100412. https://doi.org/10.1109/TGRS.2021.3050999 <strong>More CHAP datasets of different air pollutants can be found at: https://weijing-rs.github.io/product.html</strong>
description: Note that this dataset is continuously updated, and if you want to apply for more data or have any questions, please contact me (Email: weijing_rs@163.com; weijing.rs@gmail.com).
description: {"references": ["Wei, J., Li, Z., Sun, L., Xue, X., Ma, Z., Liu, L., Fan, T., and Cribb, M.\u00a0Extending the EOS long-term PM2.5\u00a0data records since 2013 in China: application to the VIIRS Deep Blue aerosol products.\u00a0IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, 1-12, 4100412. https://doi.org/10.1109/TGRS.2021.3050999"]}
DOI: 10.5281/zenodo.4458865
title: ChinaHighPM2.5: VIIRS 6 km Ground-level PM2.5 Dataset for China

description: ChinaHighPM<sub>2.5</sub> is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from the big data (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence by considering the spatiotemporal heterogeneity of air pollution. This is the VIIRS derived yearly 6 km ground-level PM<sub>2.5</sub> dataset in China from 2013 to 2018, and this dataset yields a high quality with a cross-validation coefficient of determination (CV-R<sup>2</sup>) reaching 0.88 and a root-mean-square error (RMSE) of 16.52 µg m<sup>-3</sup> on a daily basis. If you use the ChinaHighPM<sub>2.5</sub> dataset for related scientific research, please cite the corresponding reference (Wei et al., TGRS, 2022): Wei, J., Li, Z., Sun, L., Xue, X., Ma, Z., Liu, L., Fan, T., and Cribb, M. Extending the EOS long-term PM<sub>2.5</sub> data records since 2013 in China: application to the VIIRS Deep Blue aerosol products. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 2022, 60, 4100412. https://doi.org/10.1109/TGRS.2021.3050999 <strong>More CHAP datasets of different air pollutants can be found at: https://weijing-rs.github.io/product.html</strong>
description: Note that this dataset is continuously updated, and if you want to apply for more data or have any questions, please contact me (Email: weijing_rs@163.com; weijing.rs@gmail.com).
description: {"references": ["Wei, J., Li, Z., Sun, L., Xue, X., Ma, Z., Liu, L., Fan, T., and Cribb, M.\u00a0Extending the EOS long-term PM2.5\u00a0data records since 2013 in China: application to the VIIRS Deep Blue aerosol products.\u00a0IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, 1-12, 4100412. https://doi.org/10.1109/TGRS.2021.3050999"]}