cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2cgzys
title: CCDC 2189156: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2022|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: 10.5281/zenodo.7050478
title: 1976EQ

description: The ortho-images used in the study of the 1976 earthquake by Lu & Zhou
DOI: 10.5281/zenodo.7058967
title: 1976EQ

description: The ortho-images used in the study of the 1976 earthquake by Lu & Zhou
DOI: 10.17909/h1yb-z439
title: Data for paper

description: GALEX data used to derive SFR of Fornax galaxies observed with ALMA
DOI: 10.5281/zenodo.7058961
title: Replication Package for Paper "How Early Participation Determines Long-Term Sustained Activity in GitHub Projects"

description: This replication package can be used for replicating results in the paper. It contains 1) a dataset of 290,255 repositories; and 2) Python scripts for training and interpreting models. We recommend manually setup the required environment in a commodity Linux machine with at least 1 CPU Core, 8GB Memory and 100GB empty storage space. We conduct development and execute all our experiments on a Ubuntu 20.04 server with two Intel Xeon Gold CPUs, 320GB memory, and 36TB RAID 5 Storage. We use GHTorrent to restore historical states of 290,255 repositories with more than 57 commits, 4 PRs, 1 issue, 1 fork and 2 stars. The raw data of repositories are stored in `Replication Package/data/prodata.pkl`, and the contribution of features resulting from LIME model is stored in `Replication Package/data/limeres_m2_k1.pkl`. We sort items by the order in `Replication Package/data/randind.npy`, which can be used to reproduce the same results as in the paper. <br> `Replication Package/data/X_test_m2_k1.pkl` and `Replication Package/data/y_test_m2_k1.pkl` store the test dataset for the LIME model. You can run `Replication Package/fitdata.py` to get the results in Table III and IV, run `Replication Package/draw_compare_variable.py` to get Figure 2 and run `Replication Package/allvari_statistics.py` to get Table II. In `Replication Package/Variable_comparison_with_different_parameter.pdf`, we show the LIME results under different parameters. In `Replication Package/sample_pros.csv`, we also provide the list of randomly selected repositories in Section III.B.
DOI: 10.5281/zenodo.7058962
title: Replication Package for Paper "How Early Participation Determines Long-Term Sustained Activity in GitHub Projects"

description: This replication package can be used for replicating results in the paper. It contains 1) a dataset of 290,255 repositories; and 2) Python scripts for training and interpreting models. We recommend manually setup the required environment in a commodity Linux machine with at least 1 CPU Core, 8GB Memory and 100GB empty storage space. We conduct development and execute all our experiments on a Ubuntu 20.04 server with two Intel Xeon Gold CPUs, 320GB memory, and 36TB RAID 5 Storage. We use GHTorrent to restore historical states of 290,255 repositories with more than 57 commits, 4 PRs, 1 issue, 1 fork and 2 stars. The raw data of repositories are stored in `Replication Package/data/prodata.pkl`, and the contribution of features resulting from LIME model is stored in `Replication Package/data/limeres_m2_k1.pkl`. We sort items by the order in `Replication Package/data/randind.npy`, which can be used to reproduce the same results as in the paper. <br> `Replication Package/data/X_test_m2_k1.pkl` and `Replication Package/data/y_test_m2_k1.pkl` store the test dataset for the LIME model. You can run `Replication Package/fitdata.py` to get the results in Table III and IV, run `Replication Package/draw_compare_variable.py` to get Figure 2 and run `Replication Package/allvari_statistics.py` to get Table II. In `Replication Package/Variable_comparison_with_different_parameter.pdf`, we show the LIME results under different parameters. In `Replication Package/sample_pros.csv`, we also provide the list of randomly selected repositories in Section III.B.
DOI: 10.5281/zenodo.7059020
title: Replication Package for Paper "How Early Participation Determines Long-Term Sustained Activity in GitHub Projects"

description: This replication package can be used for replicating results in the paper. It contains 1) a dataset of 290,255 repositories; and 2) Python scripts for training and interpreting models. We recommend manually setup the required environment in a commodity Linux machine with at least 1 CPU Core, 8GB Memory and 100GB empty storage space. We conduct development and execute all our experiments on a Ubuntu 20.04 server with two Intel Xeon Gold CPUs, 320GB memory, and 36TB RAID 5 Storage. We use GHTorrent to restore historical states of 290,255 repositories with more than 57 commits, 4 PRs, 1 issue, 1 fork and 2 stars. The raw data of repositories are stored in `Replication Package/data/prodata.pkl`, and the contribution of features resulting from LIME model is stored in `Replication Package/data/limeres_m2_k1.pkl`. We sort items by the order in `Replication Package/data/randind.npy`, which can be used to reproduce the same results as in the paper. <br> `Replication Package/data/X_test_m2_k1.pkl` and `Replication Package/data/y_test_m2_k1.pkl` store the test dataset for the LIME model. You can run `Replication Package/fitdata.py` to get the results in Table III and IV, run `Replication Package/draw_compare_variable.py` to get Figure 2 and run `Replication Package/allvari_statistics.py` to get Table II. In `Replication Package/Variable_comparison_with_different_parameter.pdf`, we show the LIME results under different parameters. In `Replication Package/sample_pros.csv`, we also provide the list of randomly selected repositories in Section III.B.
DOI: 10.5281/zenodo.3659323
title: AndroZooOpen: Collecting Large-scale Open Source Android Apps for the Research Community

description: The raw collected data for the paper
DOI: 10.5281/zenodo.3647881
title: AndroZooOpen: Collecting Large-scale Open Source Android Apps for the Research Community

description: The raw collected data for the paper
DOI: 10.5281/zenodo.7059030
title: Replication Package for Paper "How Early Participation Determines Long-Term Sustained Activity in GitHub Projects"

description: This replication package can be used for replicating results in the paper. It contains 1) a dataset of 290,255 repositories; and 2) Python scripts for training and interpreting models. We recommend manually setup the required environment in a commodity Linux machine with at least 1 CPU Core, 8GB Memory and 100GB empty storage space. We conduct development and execute all our experiments on a Ubuntu 20.04 server with two Intel Xeon Gold CPUs, 320GB memory, and 36TB RAID 5 Storage. We use GHTorrent to restore historical states of 290,255 repositories with more than 57 commits, 4 PRs, 1 issue, 1 fork and 2 stars. The raw data of repositories are stored in `Replication Package/data/prodata.pkl`, and the contribution of features resulting from LIME model is stored in `Replication Package/data/limeres_m2_k1.pkl`. We sort items by the order in `Replication Package/data/randind.npy`, which can be used to reproduce the same results as in the paper. <br> `Replication Package/data/X_test_m2_k1.pkl` and `Replication Package/data/y_test_m2_k1.pkl` store the test dataset for the LIME model. You can run `Replication Package/fitdata.py` to get the results in Table III and IV, run `Replication Package/draw_compare_variable.py` to get Figure 2 and run `Replication Package/allvari_statistics.py` to get Table II. In `Replication Package/Variable_comparison_with_different_parameter.pdf`, we show the LIME results under different parameters. In `Replication Package/sample_pros.csv`, we also provide the list of randomly selected repositories in Section III.B.
DOI: 10.5281/zenodo.7059029
title: Replication Package for Paper "How Early Participation Determines Long-Term Sustained Activity in GitHub Projects"

description: This replication package can be used for replicating results in the paper. It contains 1) a dataset of 290,255 repositories; and 2) Python scripts for training and interpreting models. We recommend manually setup the required environment in a commodity Linux machine with at least 1 CPU Core, 8GB Memory and 100GB empty storage space. We conduct development and execute all our experiments on a Ubuntu 20.04 server with two Intel Xeon Gold CPUs, 320GB memory, and 36TB RAID 5 Storage. We use GHTorrent to restore historical states of 290,255 repositories with more than 57 commits, 4 PRs, 1 issue, 1 fork and 2 stars. The raw data of repositories are stored in `Replication Package/data/prodata.pkl`, and the contribution of features resulting from LIME model is stored in `Replication Package/data/limeres_m2_k1.pkl`. We sort items by the order in `Replication Package/data/randind.npy`, which can be used to reproduce the same results as in the paper. <br> `Replication Package/data/X_test_m2_k1.pkl` and `Replication Package/data/y_test_m2_k1.pkl` store the test dataset for the LIME model. You can run `Replication Package/fitdata.py` to get the results in Table III and IV, run `Replication Package/draw_compare_variable.py` to get Figure 2 and run `Replication Package/allvari_statistics.py` to get Table II. In `Replication Package/Variable_comparison_with_different_parameter.pdf`, we show the LIME results under different parameters. In `Replication Package/sample_pros.csv`, we also provide the list of randomly selected repositories in Section III.B.
DOI: 10.15151/esrf-es-918058156
title: Structural Biology at EMBL Grenoble, IBS-CIBB and IAB

description: This proposal clusters crystallography projects at the EMBL Grenoble, IBS and IAB working on different topics with a focus on nucleic acid-protein complexes and host-pathogen interactions. The proposers have long-standing experience in the use, as well as the development of beam lines for macromolecular crystallography and have participated in successive BAG applications over the years, mostly at the ESRF but also at other synchrotrons (i.e. Soleil, Petra II, Diamond, SLS)
DOI: 10.6084/m9.figshare.21008962.v1
title: Journals.xlsx

description: My paper dateset
DOI: 10.6084/m9.figshare.21058864
title: Grain size data for core ZM02

description: Mean grain size of 3.8-63 μm of core ZM02.
DOI: 10.6084/m9.figshare.21058864.v1
title: Grain size data for core ZM02

description: Mean grain size of 3.8-63 μm of core ZM02.
DOI: 10.5517/ccdc.csd.cc297cyw
title: CCDC 2122258: Experimental Crystal Structure Determination

description: Related Article: Krzysztof Bartkowski, Paola Zimmermann Crocomo, Michał Kochman, Dharmendra Kumar, Adam Kubas, Przemyslaw Data, Marcin Lindner|2022|Chemical Science|13|10119|doi:10.1039/D2SC03342A
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: 10.5517/ccdc.csd.cc2cgzzt
title: CCDC 2189157: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2022|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: 10.5517/ccdc.csd.cc2ch00x
title: CCDC 2189158: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2022|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: 10.5517/ccdc.csd.cc2ch085
title: CCDC 2189166: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2022|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: 10.34740/kaggle/dsv/4175658
title: Russian Invasion of Ukraine
DOI: 10.5281/zenodo.6012451
title: Determination of protein stoichiometries via dual-color colocalization with single molecule localization microscopy

description: This entry contains the datasets for the manuscript titled as listed.
description: This research was supported by the Deutsche Forschungsgemeinschaft (FA 301/15-1 to Ch.F.) as part of Research Unit FOR 5046, project P4.
DOI: 10.5281/zenodo.7059087
title: Determination of protein stoichiometries via dual-color colocalization with single molecule localization microscopy

description: This entry contains the datasets for the manuscript titled as listed.
description: This research was supported by the Deutsche Forschungsgemeinschaft (FA 301/15-1 to Ch.F.) as part of Research Unit FOR 5046, project P4.
DOI: 10.3886/e179441v1
title: Unions and Inequality over the 20th Century: New Evidence from Survey Data

description: Replication package for "Unions and Inequality in the 20th Century: New Evidence from Survey Data", Quarterly Journal of Economics August 2021.<br>
DOI: 10.6084/m9.figshare.20301108
title: Supplementary Material for: Atezolizumab Plus Bevacizumab vs Sorafenib for Unresectable Hepatocellular Carcinoma: Results From Older Adults Enrolled in the IMbrave150 Randomized Clinical Trial

description: Introduction The efficacy of systemic first-line treatments in older adults with unresectable hepatocellular carcinoma (HCC) has not been well-studied. We compared the safety and efficacy of atezolizumab plus bevacizumab vs sorafenib as a first-line treatment in younger vs older patients with unresectable HCC. Methods This global, phase 3, open-label, randomized clinical trial (IMbrave150) recruited patients aged ≥18 years with locally advanced metastatic or unresectable HCC, an Eastern Cooperative Oncology Group performance status score of 0 or 1, and Child-Pugh class A liver function who had not previously received systemic therapy for liver cancer. Patients received either 1200 mg atezolizumab plus 15 mg/kg bevacizumab intravenously every 3 weeks or 400 mg sorafenib orally twice daily until loss of clinical benefit or unacceptable toxicity. Primary endpoints were overall survival (OS) and progression-free survival (PFS). Secondary outcomes were incidence of adverse events and time to deterioration of patient-reported outcomes (PROs). This subgroup analysis evaluated safety and efficacy endpoints in patients &lt;65 years, ≥65 to &lt;75 years, and ≥75 years. Results Of 501 patients, 165 patients were randomized to sorafenib and 336 were randomized to atezolizumab plus bevacizumab (175 patients &lt;65 years; 106 patients ≥65 to &lt;75 years; 55 patients ≥75 years). Across all age groups, patients receiving atezolizumab plus bevacizumab had longer median OS (&lt;65: 18.0 vs 12.2 months [HR, 0.57; 95% CI, 0.40-0.82]; ≥65 to &lt;75: 19.4 vs 14.9 months [HR, 0.80; 95% CI, 0.52-1.23]; ≥75: 24.0 vs 18.0 months [HR, 0.72, 95% CI, 0.37-1.41]) and PFS than those receiving sorafenib. Time to deterioration for multiple PROs was delayed for patients receiving atezolizumab plus bevacizumab, including older adults. There were no clinically meaningful differences in toxicity between age groups. Conclusion Atezolizumab plus bevacizumab is safe and effective in adults &lt;65, ≥65 to &lt;75, and ≥75. Treatment was well-tolerated even in elderly patients.
DOI: 10.6084/m9.figshare.21060328
title: model-09-08-22_00-38-06

description: Dataset of chessboard states (fen strings), Stockfish move probabilities, and position evaluations
DOI: 10.6084/m9.figshare.21060328.v1
title: model-09-08-22_00-38-06

description: Dataset of chessboard states (fen strings), Stockfish move probabilities, and position evaluations
DOI: 10.5517/ccdc.csd.cc23z36f
title: CCDC 1965344: Experimental Crystal Structure Determination

description: Related Article: Hailong Zhao, Aidong Shan, Yunshi Liang, Haiting Wu, Yiting He, Huihong Chen, Jiaxin Zeng, Jiangyong Gu, Jian-Ping Song, Hong Qiu, Jing Zhang|2022|Org.Lett.|24|6351|doi:10.1021/acs.orglett.2c02722
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: 10.6084/m9.figshare.20962783.v1
title: Scientific Reports "Dynamics of White Shrimp Population (Penaeus merguiensis) in Karang Gading Deli Serdang Regency, as a Basis in Its Management Efforts"

description: This study can be used as a basis for its management in the future. The purpose of the study was "Analyze the dynamics of white shrimp populations such as growth patterns, long frequency distribution, growth parameters, mortality rates, and recruitment patterns. The study was conducted for 12 months, from January-December 2021. The method used in sampling is purposive sampling, using a mini sine purse fishing gear measuring 8 m x 2 m. White shrimp growth patterns were analyzed using FISAT 2 software, shell length frequency distribution and growth parameters using von Bertalanffy growth models, asymptotic length and growth coefficient using the ELEFAN method, total mortality rate, natural and capture using Pauly's empirical equations, and recruitment patterns using the FAO-ICLARM program. The results of the study found the highest density of white shrimp at station 3 (257 ind / m2) and the lowest at station 2 (213 ind / m2). The distribution pattern of white shrimp at each station is in groups. The growth pattern of white shrimp is allometric negative. The theoretical lifespan at the length of zero carapace is 0.02 years or 0.2 months. The natural mortality rate of white shrimp is 0.75/year, the total mortality rate is 0.91/year and the catch mortality rate is 0.16/year. The capture of white shrimp in the waters of Karang Gading Deli Serdang Regency, North Sumatra is still under exploitation. Peak recruitment was in May and June (18.92% and 18.33%) after four months of white shrimp spawning.
DOI: 10.6084/m9.figshare.21060934
title: Tectonic dismemberment and the plume–ridge interaction in the sub-antarctic South Atlantic ocean basin: Constraints from in-situ trace elements and Sr isotope of minerals

description: Tables S1-S8; Supplementary I
DOI: 10.6084/m9.figshare.21060934.v1
title: Tectonic dismemberment and the plume–ridge interaction in the sub-antarctic South Atlantic ocean basin: Constraints from in-situ trace elements and Sr isotope of minerals

description: Tables S1-S8; Supplementary I
DOI: 10.6084/m9.figshare.21060442
title: database.rar

description: The architectures are written in Verilog HDL, simulated using IES-XL-15.2 tools, and synthesized using the Genus Synthesis tool-19.1 in 45nm technology with a generic library of Cadence vendor constraints. Power consumption of architectures is calculated with an image size of 64 X 64 and at 20 MHz frequency. Here power, timing, and area reports have been generated.
DOI: 10.6084/m9.figshare.21060628
title: Integrative Analysis between Transcriptome and Lipidome Reveal Fructose Pro-Steatosis Mechanism in Goose Fatty Liver Formation

description: Original data involved in lipidome and transcriptome
DOI: 10.6084/m9.figshare.21060628.v1
title: Integrative Analysis between Transcriptome and Lipidome Reveal Fructose Pro-Steatosis Mechanism in Goose Fatty Liver Formation

description: Original data involved in lipidome and transcriptome
DOI: 10.5281/zenodo.6506833
title: Large eddy simulation of a quadcopter in forward flight: aeroloads and wake

description: This dataset contains model information and results of large eddy simulation of a quadcopter in forward flight. The simulations were performed using the Vortex Particle-Mesh method. The study uses a generic model with a blade and airframe geometry inspired from a DJI drone. One flight condition is considered, with the vehicle at a forward speed of 10 m/s and at a pitch angle of 13 degrees. The results of two cases are available: 1) a simulation of the full model (comprising 4 rotors and the airframe); 2) a simulation of the rotors only (no airframe included). The data contains a description of the airframe (CAD files), a description of the blades, the resulting aeroloads on the blades and airframe (for each case), the time-resolved velocity and vorticity field in a cross-section of the wake (for each case), and supporting material for the companion article: D.-G. Caprace, A. Ning, P. Chatelain, G. Winckelmans, Effects of rotor-airframe interaction on the aeromechanics and wakes of a quadcopter in forward flight, 2022
DOI: 10.5281/zenodo.6506834
title: Large eddy simulation of a quadcopter in forward flight: aeroloads and wake

description: This dataset contains model information and results of large eddy simulation of a quadcopter in forward flight. The simulations were performed using the Vortex Particle-Mesh method. The study uses a generic model with a blade and airframe geometry inspired from a DJI drone. One flight condition is considered, with the vehicle at a forward speed of 10 m/s and at a pitch angle of 13 degrees. The results of two cases are available: 1) a simulation of the full model (comprising 4 rotors and the airframe); 2) a simulation of the rotors only (no airframe included). The data contains a description of the airframe (CAD files), a description of the blades, the resulting aeroloads on the blades and airframe (for each case), the time-resolved velocity and vorticity field in a cross-section of the wake (for each case), and supporting material for the companion article: D.-G. Caprace, A. Ning, P. Chatelain, G. Winckelmans, Effects of rotor-airframe interaction on the aeromechanics and wakes of a quadcopter in forward flight, 2022
DOI: 10.5281/zenodo.7059240
title: Large eddy simulation of a quadcopter in forward flight: aeroloads and wake

description: This dataset contains model information and results of large eddy simulation of a quadcopter in forward flight. The simulations were performed using the Vortex Particle-Mesh method. The study uses a generic model with a blade and airframe geometry inspired from a DJI drone. One flight condition is considered, with the vehicle at a forward speed of 10 m/s and at a pitch angle of 13 degrees. The results of two cases are available: 1) a simulation of the full model (comprising 4 rotors and the airframe); 2) a simulation of the rotors only (no airframe included). The data contains a description of the airframe (CAD files), a description of the blades, the resulting aeroloads on the blades and airframe (for each case), the time-resolved velocity and vorticity field in a cross-section of the wake (for each case), and supporting material for the companion article: D.-G. Caprace, A. Ning, P. Chatelain, G. Winckelmans, Effects of rotor-airframe interaction on the aeromechanics and wakes of a quadcopter in forward flight, 2022