cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7789646
title: Extended figures: Tumour immune rejection triggered by activation of alpha2-adrenergic receptors

description: Code and data to reproduce the extended figures from Tumour immune rejection triggered by activation of alpha2-adrenergic receptors by Zhu et al.
description: The following zip files and files therein have been renamed in version 2, to match the figure numbers in the final version of the manuscript: - A_Figure_4-Extended_Figure_8.zip was renamed.zip to A_Figure_4-Extended_Figure_5.zip - B_Extended_Figure_14a.zip was renamed to B_Extended_Figure_9a.zip - B_Extended_Figure_14b.zip was renamed to B_Extended_Figure_9b.zip - B_Extended_Figure_14c.zip was renamed to B_Extended_Figure_9c.zip - B_Extended_Figure_14e.zip was renamed to B_Extended_Figure_9e.zip - B_Extended_Figure_7f.zip was renamed to B_Extended_Figure_4h.zip No file content has been modified.
DOI: 10.5281/zenodo.7789654
title: CUT WP3 Data set

description: -Resonator frequency versus gate voltage. -Time-resolved spectrum of EF-Trons embedded in a resonator.
DOI: 10.5281/zenodo.7789653
title: CUT WP3 Data set

description: -Resonator frequency versus gate voltage. -Time-resolved spectrum of EF-Trons embedded in a resonator.
DOI: 10.6084/m9.figshare.22444030
title: 数据对比.xls

description: 分组 身高 体重 年龄 训练年限 硬拉 深蹲 立定跳远<br> （前） 立定跳远<br> （后） 干预前后<br> 跳远差值 CMJ<br> （前） CMJ<br> （后） 干预前后<br> CMJ差值 T30<br> （前） T30<br> （后） 干预前后<br> T30差值 双脚起跳<br> （前） 双脚起跳<br> （后） 干预前后双<br> 脚起跳差值 单脚起跳<br> （前） 单脚起跳<br> （后） 干预前后单<br> 脚起跳差值 实验组 190 95 20 6 140 140 270 270 0 24.1 24.9 0.8 4.5 4.45 -0.05 314 317 3 319 322 3 实验组 193 95 21 6 150 130 250 255 5 20.4 20.4 0 4.8 4.79 -0.01 308 312 4 301 306 5 实验组 183 84 20 6 130 120 258 265 7 22.7 24.4 1.7 4.48 4.48 0 312 316 4 310 313 3 实验组 178 75 20 5 130 145 255 263 8 21.5 23.5 2 4.61 4.54 -0.07 300 305 5 290 295 5 实验组 183 70 19 6 135 155 260 270 10 24.2 25.2 1 4.42 4.39 -0.03 307 310 3 311 315 4 实验组 194 81 21 5 120 115 225 235 10 16.7 15.3 -1.4 5.06 4.72 -0.34 297 302 5 306 313 7 实验组 183 75 21 5 125 135 245 255 10 19.7 21.4 1.7 4.76 4.52 -0.24 302 305 3 302 305 3 实验组 188 90 19 6 125 110 260 270 10 20.6 21.9 1.3 4.78 4.78 0 309 314 5 308 325 17 实验组 190 85 21 5 130 125 245 255 10 21.2 22.3 1.1 4.91 4.84 -0.07 315 320 5 315 318 3 实验组 187 77 20 5 150 130 285 296 11 26 29 3 4.48 4.44 -0.04 313 320 7 311 315 4 实验组 188 70 21 5 135 125 270 281 11 23.1 24.9 1.8 4.62 4.21 -0.41 318 324 6 314 315 1 实验组 185 76 20 6 115 110 235 250 15 19.8 21.8 2 4.87 4.71 -0.16 292 302 10 295 296 1 实验组 188 80 21 6 130 120 260 275 15 22 22.2 0.2 4.88 4.76 -0.12 316 322 6 320 325 5 实验组 188 110 20 5 140 140 195 225 30 15.2 16.4 1.2 5.33 5.14 -0.19 296 300 4 295 297 2 对照组 190 77 21 6 120 125 245 235 -10 19.8 20.2 0.4 5.01 4.95 -0.06 308 312 4 313 310 -3 对照组 192 80 20 6 120 100 285 278 -7 25.3 23.8 -1.5 4.71 4.6 -0.11 325 318 -7 322 320 -2 对照组 185 75 21 5 130 130 265 260 -5 20.8 21 0.2 4.85 4.72 -0.13 303 308 5 314 315 1 对照组 183 80 21 5 150 140 295 290 -5 27.4 27 -0.4 4.83 4.83 0 316 318 2 322 320 -2 对照组 183 75 21 5 120 110 260 255 -5 20.9 20.2 -0.7 4.85 4.73 -0.12 300 305 5 300 304 4 对照组 183 80 21 6 160 160 257 255 -2 23 21.2 -1.8 4.85 4.76 -0.09 304 310 6 308 310 2 对照组 175 90 21 5 140 150 255 255 0 21.1 21.1 0 4.8 4.78 -0.02 289 291 2 283 285 2 对照组 190 90 19 5 110 120 250 250 0 19.2 21.8 2.6 4.84 4.77 -0.07 300 308 8 305 311 6 对照组 190 90 19 6 130 100 250 250 0 18.9 18.5 -0.4 4.86 4.79 -0.07 311 317 6 327 330 3 对照组 180 75 20 5 130 160 265 265 0 24 23.5 -0.5 4.75 4.68 -0.07 300 306 6 303 308 5 对照组 190 85 20 6 130 130 258 260 2 20.6 23 2.4 4.67 4.61 -0.06 311 315 4 310 315 5 对照组 183 75 21 6 130 130 270 275 5 25.4 23.6 -1.8 4.63 4.49 -0.14 309 311 2 310 318 8 对照组 178 85 20 5 150 160 255 260 5 24.1 24.6 0.5 4.64 4.37 -0.27 297 306 9 297 301 4 对照组 193 95 21 5 140 120 260 265 5 20.8 21.1 0.3 5.01 4.97 -0.04 312 320 8 317 320 3
DOI: 10.5281/zenodo.7789664
title: Repeatability of energy metabolism and resistance to dehydration in the invasive slug Limax maximus

description: Dataset from the paper "Repeatability of energy metabolism and resistance to dehydration in the invasive slug <em>Limax maximus"</em> It contains metabolic rates and body mass assessed on 30 individuals of L. maximus in three different trials. Metabolic rates are in CO2 ml/m
DOI: 10.5281/zenodo.7789663
title: Repeatability of energy metabolism and resistance to dehydration in the invasive slug Limax maximus

description: Dataset from the paper "Repeatability of energy metabolism and resistance to dehydration in the invasive slug <em>Limax maximus"</em> It contains metabolic rates and body mass assessed on 30 individuals of L. maximus in three different trials. Metabolic rates are in CO2 ml/m
DOI: 10.6084/m9.figshare.22446544
title: Borrie et al primary data for MCB 2023.xlsx

description: A book of Excel spreadsheets with the primary data for the figures in Borrie et al., Molecular and Cellular Biology, 2023.
DOI: 10.5281/zenodo.7373089
title: Neural Networks for Structure-Informed Prediction of Formation Energy (employed in SIPFENN)

description: pySIPFENN Documentation: pysipfenn.org pySIPFENN GitHub: git.pysipfenn.org Original SIPFENN Paper: 10.1016/j.commatsci.2022.111254 Network Changelog: V 0.10 - All models moved to the open ONNX format for improved interchangeability; NN30 neural network similar to NN20 but accepting the new KS2022 feature vector; Python code migrated to public GitHub repository. V 0.9 - Python code updated to the release version; paper published V 0.8 - Python code (beta) to run models included V 0.7 - Original upload of development models Selected works with SIPFENN alongside DFT and experiments: - 10.1016/j.actamat.2021.117448 - 10.1038/s41598-021-03578-0 SIPFENN Abstract (original publication, 2021): In recent years, numerous studies have employed machine learning (ML) techniques to enable orders of magnitude faster high-throughput materials discovery by augmentation of existing methods or as standalone tools. In this paper, we introduce a new neural network-based tool for the prediction of formation energies based on elemental and structural features of Voronoi-tessellated materials. We provide a self-contained overview of the ML techniques used. Of particular importance is the connection between the ML and the true material-property relationship, how to improve the generalization accuracy by reducing overfitting, and how new data can be incorporated into the model to tune it to a specific material system.<br> <br> In the course of this work, over 30 novel neural network architectures were designed and tested. This lead to three final models optimized for (1) highest test accuracy on the Open Quantum Materials Database (OQMD), (2) performance in the discovery of new materials, and (3) performance at a low computational cost. On a test set of 21,800 compounds randomly selected from OQMD, they achieve mean average error (MAE) of 28, 40, and 42 meV/atom respectively. The second model provides better predictions on materials far from ones reported in OQMD, while the third reduces the computational cost by a factor of 8.<br> <br> We collect our results in a new open-source tool called SIPFENN (Structure-Informed Prediction of Formation Energy using Neural Networks). SIPFENN not only improves the accuracy beyond existing models but also ships in a ready-to-use form with pre-trained neural networks and a user interface. Contacts: - Adam Krajewski: ak@psu.edu - Prof. Zi-Kui Liu: zxl15@psu.edu
DOI: 10.5281/zenodo.4006802
title: Neural Networks for Structure-Informed Prediction of Formation Energy (employed in SIPFENN)

description: pySIPFENN Documentation: pysipfenn.org pySIPFENN GitHub: git.pysipfenn.org Original SIPFENN Paper: 10.1016/j.commatsci.2022.111254 Network Changelog: V 0.10 - All models moved to the open ONNX format for improved interchangeability; NN30 neural network similar to NN20 but accepting the new KS2022 feature vector; Python code migrated to public GitHub repository. V 0.9 - Python code updated to the release version; paper published V 0.8 - Python code (beta) to run models included V 0.7 - Original upload of development models Selected works with SIPFENN alongside DFT and experiments: - 10.1016/j.actamat.2021.117448 - 10.1038/s41598-021-03578-0 SIPFENN Abstract (original publication, 2021): In recent years, numerous studies have employed machine learning (ML) techniques to enable orders of magnitude faster high-throughput materials discovery by augmentation of existing methods or as standalone tools. In this paper, we introduce a new neural network-based tool for the prediction of formation energies based on elemental and structural features of Voronoi-tessellated materials. We provide a self-contained overview of the ML techniques used. Of particular importance is the connection between the ML and the true material-property relationship, how to improve the generalization accuracy by reducing overfitting, and how new data can be incorporated into the model to tune it to a specific material system.<br> <br> In the course of this work, over 30 novel neural network architectures were designed and tested. This lead to three final models optimized for (1) highest test accuracy on the Open Quantum Materials Database (OQMD), (2) performance in the discovery of new materials, and (3) performance at a low computational cost. On a test set of 21,800 compounds randomly selected from OQMD, they achieve mean average error (MAE) of 28, 40, and 42 meV/atom respectively. The second model provides better predictions on materials far from ones reported in OQMD, while the third reduces the computational cost by a factor of 8.<br> <br> We collect our results in a new open-source tool called SIPFENN (Structure-Informed Prediction of Formation Energy using Neural Networks). SIPFENN not only improves the accuracy beyond existing models but also ships in a ready-to-use form with pre-trained neural networks and a user interface. Contacts: - Adam Krajewski: ak@psu.edu - Prof. Zi-Kui Liu: zxl15@psu.edu
DOI: 10.5281/zenodo.6551588
title: Supporting data for "Morphological profiling by high-throughput single-cell biophysical fractometry"

description: No specific description. For more information, please contact: iriszqzh@connect.hku.hk.
DOI: 10.5281/zenodo.6551587
title: Supporting data for "Morphological profiling by high-throughput single-cell biophysical fractometry"

description: No specific description. For more information, please contact: iriszqzh@connect.hku.hk.
DOI: 10.5281/zenodo.7787607
title: Supporting data for "Morphological profiling by high-throughput single-cell biophysical fractometry"

description: No specific description. For more information, please contact: iriszqzh@connect.hku.hk.
DOI: 10.5281/zenodo.7789667
title: Supporting data for "Morphological profiling by high-throughput single-cell biophysical fractometry"

description: No specific description. For more information, please contact: iriszqzh@connect.hku.hk.
DOI: 10.48577/jpl.axzsuy
title: Final Report of the Open Source Science for Earth System Observatory Mission Data Processing Architecture Study

description: The Open Source Science for Earth System Observatory (ESO) Mission Data Processing Architecture Study was sponsored by Kevin Murphy, Chief Science Data Officer of NASA’s Science Mission Directorate (SMD) and Program Manager for the Earth Science Division (ESD)Data Systems.
DOI: 10.5281/zenodo.5256236
title: Ultrafast electric control of cavity mediated single-photon and photon-pair generation with semiconductor quantum dots

description: Dataset of the publication "Ultrafast electric control of cavity mediated single-photon and photon-pair generation with semiconductor quantum dots" (10.1103/PhysRevB.104.085308)
description: This work was supported by the Deutsche Forschungsgemeinschaft through the Transregional Collaborative Research Center TRR142 (Grant No. 231447078, Project A03), the Heisenberg program (Grant No. 270619725), and by the Paderborn Center for Parallel Computing, PC2. This project has received funding from the European Union's Horizon 2020 Research and Innovation Program under Grant Agreement No. 820423 (S2QUIP) and No. 899814 (Qurope).
DOI: 10.5281/zenodo.5256235
title: Ultrafast electric control of cavity mediated single-photon and photon-pair generation with semiconductor quantum dots

description: Dataset of the publication "Ultrafast electric control of cavity mediated single-photon and photon-pair generation with semiconductor quantum dots" (10.1103/PhysRevB.104.085308)
description: This work was supported by the Deutsche Forschungsgemeinschaft through the Transregional Collaborative Research Center TRR142 (Grant No. 231447078, Project A03), the Heisenberg program (Grant No. 270619725), and by the Paderborn Center for Parallel Computing, PC2. This project has received funding from the European Union's Horizon 2020 Research and Innovation Program under Grant Agreement No. 820423 (S2QUIP) and No. 899814 (Qurope).
DOI: 10.5281/zenodo.7789733
title: On-demand indistinguishable and entangled photons at telecom frequencies using tailored cavity designs

description: Dataset of the publication "On-demand indistinguishable and entangled photons at telecom frequencies using tailored cavity designs" (10.48550/arXiv.2303.13871) Abstract: The biexciton-exciton emission cascade commonly used in quantum-dot systems to generate polarization entanglement yields photons with intrinsically limited indistinguishability.<br> In the present work we focus on the generation of pairs of photons with high degrees of polarization entanglement and simultaneously high indistinguishability. We achieve this goal by selectively reducing the biexciton lifetime with an optical resonator. We demonstrate that a suitably tailored circular Bragg reflector fulfills the requirements of sufficient selective Purcell enhancement of biexciton emission paired with spectrally broad photon extraction and two-fold degenerate optical modes. Our in-depth theoretical study combines (i) the optimization of realistic photonic structures solving Maxwell's equations from which model parameters are extracted as input for (ii) microscopic simulations of quantum-dot cavity excitation dynamics with full access to photon properties. We report non-trivial dependencies on system parameters and use the predictive power of our combined theoretical approach to determine the optimal range of Purcell enhancement that maximizes indistinguishability and entanglement to near unity values in the telecom C-band at 1550nm.
description: This work was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through the transregional collaborative research center TRR142/3-2022 (231447078, projects B06 and C09), the German Federal Ministry of Education and Research (BMBF) via the project QR.X (No.16KlSQ012), the Photonic Quantum Computing initiative (PhoQC), and computing time provided by the Paderborn Center for Parallel Computing, PC2.
DOI: 10.5281/zenodo.7789734
title: On-demand indistinguishable and entangled photons at telecom frequencies using tailored cavity designs

description: Dataset of the publication "On-demand indistinguishable and entangled photons at telecom frequencies using tailored cavity designs" (10.48550/arXiv.2303.13871) Abstract: The biexciton-exciton emission cascade commonly used in quantum-dot systems to generate polarization entanglement yields photons with intrinsically limited indistinguishability.<br> In the present work we focus on the generation of pairs of photons with high degrees of polarization entanglement and simultaneously high indistinguishability. We achieve this goal by selectively reducing the biexciton lifetime with an optical resonator. We demonstrate that a suitably tailored circular Bragg reflector fulfills the requirements of sufficient selective Purcell enhancement of biexciton emission paired with spectrally broad photon extraction and two-fold degenerate optical modes. Our in-depth theoretical study combines (i) the optimization of realistic photonic structures solving Maxwell's equations from which model parameters are extracted as input for (ii) microscopic simulations of quantum-dot cavity excitation dynamics with full access to photon properties. We report non-trivial dependencies on system parameters and use the predictive power of our combined theoretical approach to determine the optimal range of Purcell enhancement that maximizes indistinguishability and entanglement to near unity values in the telecom C-band at 1550nm.
description: This work was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through the transregional collaborative research center TRR142/3-2022 (231447078, projects B06 and C09), the German Federal Ministry of Education and Research (BMBF) via the project QR.X (No.16KlSQ012), the Photonic Quantum Computing initiative (PhoQC), and computing time provided by the Paderborn Center for Parallel Computing, PC2.
DOI: 10.5517/ccdc.csd.cc296csp
title: CCDC 2121292: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger|2021|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25625/va9uyr/9mldhx
title: menoci_v1-1.tar-1.gz

description: menoci project source code, v1.1
DOI: 10.5281/zenodo.6950485
title: Vapor Film Lifetime at Magma-Water Interface

description: <strong>Video records of the meta-stable vapor film conditions on a spherical magma sample in contact with water.</strong> The dataset is the base the following article:<br> <em>Experimental constraints on the stability and oscillation of water vapor film–a precursor for phreatomagmatic and explosive submarine eruptions. </em>By I. Sonder, and P. Moitra, 2022 in Frontiers in Earth Science, 10, doi: 10.3389/feart.2022.983112 . The dataset consists of observations (videos) of three experiments, and manually drawn polygons outlining the vapor film on the melt sample, or areas of direct magma-water contact. Video material is stored in two formats: (a) as video file (<code>.mp4</code>) and (b) as zip container that contains each of the video's frames in <code>.jpg</code> format. The polygon markup is stored in JSON format. <strong>Changes</strong> <strong><em>Version</em> 0.1:</strong><br> Initial upload of video and polygonal markup material.
DOI: 10.5281/zenodo.6950484
title: Vapor Film Lifetime at Magma-Water Interface

description: <strong>Video records of the meta-stable vapor film conditions on a spherical magma sample in contact with water.</strong> The dataset is the base the following article:<br> <em>Experimental constraints on the stability and oscillation of water vapor film–a precursor for phreatomagmatic and explosive submarine eruptions. </em>By I. Sonder, and P. Moitra, 2022 in Frontiers in Earth Science, 10, doi: 10.3389/feart.2022.983112 . The dataset consists of observations (videos) of three experiments, and manually drawn polygons outlining the vapor film on the melt sample, or areas of direct magma-water contact. Video material is stored in two formats: (a) as video file (<code>.mp4</code>) and (b) as zip container that contains each of the video's frames in <code>.jpg</code> format. The polygon markup is stored in JSON format. <strong>Changes</strong> <strong><em>Version</em> 0.1:</strong><br> Initial upload of video and polygonal markup material.
DOI: 10.25919/tha0-xc93
title: ECO BB9 Dilution trials

description: This data presents results of a method for estimating backscattering properties of highly turbid Australian water bodies. The ECO BB9, meant for oceanic and coastal waters, can become saturated in highly scattering inland waters, so a serial dilution technique was developed to address this. The method was tested using synthetic and natural trials on common optically active constituents found in Australian water bodies.
DOI: 10.7281/t1wd3xhm/rqay2h
title: SMC Markers.zip

description: This zip file contains images of SMLCs stained for specific smooth muscle cells (SMCs) markers (Figure 2a).
DOI: 10.7281/t1wd3xhm/ajswar
title: Documentation.zip

description: This zip file contains additional information that may facilitate data comprehension and reuse including 1) a list of abbreviations and acronyms used for folder/file names and the corresponding definition or full name, 2) a Word document that provides more detail on the content of some folders, subfolders, and in some cases, individual files, and 3) a list of the software used.
DOI: 10.7281/t1wd3xhm/ft6cmp
title: FACS.zip

description: This zip file contains flow cytometry data and analysis. The Excel files that contain the raw data are named for the date in which the experiment was run (Figure 2b). The raw data can be run using Cyflogic software.
DOI: 10.7281/t1wd3xhm/ilmidl
title: Fibronectin staining.zip

description: This zip file contains immunofluorescent images of hESCs and hESC-derived SMLCs labeled for fibronectin (figure 3b and 3c). Images were taken using fluorescence microscopy (Olympus BX60).
DOI: 10.7281/t1wd3xhm/jjtenz
title: MHC staining.zip

description: This zip file contains images of SMLCs stained for marker SM-MHC.
DOI: 10.7281/t1wd3xhm/sycn7l
title: Collagen I staining.zip

description: This zip file contains immunofluorescent images of hESCs and hESC-derived SMLCs labeled for collagen (Figure 3b). Images were taken using fluorescence microscopy (Olympus BX60).
DOI: 10.7281/t1wd3xhm/whu4p8
title: PCR data.zip

description: This zip file contain PCR data of quantities of SMC markers and ECM molecules fibronectin and collagen (Figure 3a).
DOI: 10.7281/t1wd3xhm/3v5y9h
title: CLS quantitative data.zip

description: This zip file contains data on mean tube length and thickness. It also contain analysis of CLS formation using Metamorph software (Figure 5b). Please note, that users may need to vary the contrast/exposure of some of the TIFF images to the data; otherwise the image appears black.
DOI: 10.7281/t1wd3xhm/h882m6
title: Tube Formation Assay.zip

description: This zip file contains images and some Powerpoint files of cocultures of endothelial progentiro cells (EPCs) and SMLCs in the following ratios 100:00, 60:40, 40:60, 20:80, and 0:100 for the duration of 12 hours and 24 hours (Fig. 5a).
DOI: 10.7281/t1wd3xhm/ulwwxt
title: Confocal Microscopy.zip

description: This zip file contains sequences of z-stack images of CLSs using confocal microscopy (Figure 6). The images were taken to assess the SMLCs participated in CLS formation in addition to EPCs.
DOI: 10.15156/bio/sh130689.07fu
title: SH130689.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.