cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16834671.v1
title: Benchmarking full version of GureKDDCup, UNSW-NB15, and CIDDS-001 NIDS datasets using rolling-origin resampling

description: Network intrusion detection system (NIDS) is a system that analyses network traffic to flag malicious traffic or suspicious activities. Several recent NIDS datasets have been published, however, the lack of baseline experimental results on the full version of datasets had made it difficult for researchers to perform benchmarking. As the train-test distribution of the datasets has yet to be pre-defined by the creators, this further obstruct the researchers to compare the performance unbiasedly across each of the machine classifiers. Moreover, cross-validation resampling scheme have also been addressed in the literatures to be inappropriate in the domain of NIDS. Thus, rolling-origin – a standard resampling technique which is also known as a common cross-validation scheme in the forecasting domain is employed to allocate the training and testing distributions. In this paper, rigorous experiments are conducted on the full version of the three recent NIDS datasets: GureKDDCup, UNSW-NB15, and CIDDS-001. While the datasets chosen might not be the latest available datasets, we have selected them as they include the essential IP address fields which are usually missing or removed due to some sort of privacy concerns. To deliver the baseline empirical results, 10 well-known classifiers from Weka are utilized.
DOI: 10.5525/gla.researchdata.1342
title: Genome sequencing and comparative analysis of Wolbachia strain wAlbA reveals Wolbachia-associated plasmids are common

description: Phenotypic data, qPCR data and plasmid genome sequences used in the analyses.
DOI: 10.5517/ccdc.csd.cc2czfb4
title: CCDC 2203986: Experimental Crystal Structure Determination

description: Related Article: Xiao-Qiang Yao|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.7018853
title: VeriDark Agora Authorship Verification Dataset

description: <pre>VeriDark (Authorship Verification in the DarkNet) is a benchmark for evaluating authorship analysis methods in a cybersecurity context, by introducing datasets gathered from the DarkNet marketplace forums or from Darknet-related discussions on Reddit. This benchmark contains three datasets for authorship verification and one dataset for authorship identification.</pre>
DOI: 10.5281/zenodo.7018852
title: VeriDark Agora Authorship Verification Dataset

description: <pre>VeriDark (Authorship Verification in the DarkNet) is a benchmark for evaluating authorship analysis methods in a cybersecurity context, by introducing datasets gathered from the DarkNet marketplace forums or from Darknet-related discussions on Reddit. This benchmark contains three datasets for authorship verification and one dataset for authorship identification.</pre>
DOI: 10.6084/m9.figshare.20710957.v2
title: Whole-transcriptomic sequencing data of esophageal squamous cell carcinoma patients in Kazakhstan

description: <strong>All tables</strong>
DOI: 10.5281/zenodo.6998371
title: VeriDark SilkRoad1 Authorship Verification Dataset

description: <pre>VeriDark (Authorship Verification in the DarkNet) is a benchmark for evaluating authorship analysis methods in a cybersecurity context, by introducing datasets gathered from the DarkNet marketplace forums or from Darknet-related discussions on Reddit. This benchmark contains three datasets for authorship verification and one dataset for authorship identification.</pre>
DOI: 10.5281/zenodo.6998370
title: VeriDark SilkRoad1 Authorship Verification Dataset

description: <pre>VeriDark (Authorship Verification in the DarkNet) is a benchmark for evaluating authorship analysis methods in a cybersecurity context, by introducing datasets gathered from the DarkNet marketplace forums or from Darknet-related discussions on Reddit. This benchmark contains three datasets for authorship verification and one dataset for authorship identification.</pre>
DOI: 10.15468/p6rm5u
title: Checklist of zooplankton species of the National Nature Park “Pyriatynskyi”

description: List of zooplankton species found in the territory of the National Nature Park “Pyriatynskyi”
DOI: 10.5281/zenodo.6998363
title: VeriDark DarkReddit+ Authorship Identification Dataset

description: <pre>VeriDark (Authorship Verification in the DarkNet) is a benchmark for evaluating authorship analysis methods in a cybersecurity context, by introducing datasets gathered from the DarkNet marketplace forums or from Darknet-related discussions on Reddit. This benchmark contains three datasets for authorship verification and one dataset for authorship identification. </pre>
DOI: 10.5281/zenodo.6998362
title: VeriDark DarkReddit+ Authorship Identification Dataset

description: <pre>VeriDark (Authorship Verification in the DarkNet) is a benchmark for evaluating authorship analysis methods in a cybersecurity context, by introducing datasets gathered from the DarkNet marketplace forums or from Darknet-related discussions on Reddit. This benchmark contains three datasets for authorship verification and one dataset for authorship identification. </pre>
DOI: 10.34740/kaggle/dsv/4134743
title: YouTube Daily
DOI: 10.3886/e178881
title: Dataset of an actual life-risk insurance portfolio

description: The anonymised data is related to the policies in force on December 31, 2009 in a portfolio of life-risk insurance policies corresponding to the year 2009 of a Spanish insurance company.The data sheet consists of 76,102 rows and 15 columns, with each row corresponding to a policy and each column to a variable
description: Policies in force in a portfolio of life-risk insurance policies of a Spanish insurance company.
description: face-to-face interview;
DOI: 10.3886/e178881v1
title: Dataset of an actual life-risk insurance portfolio

description: The anonymised data is related to the policies in force on December 31, 2009 in a portfolio of life-risk insurance policies corresponding to the year 2009 of a Spanish insurance company.The data sheet consists of 76,102 rows and 15 columns, with each row corresponding to a policy and each column to a variable
description: Policies in force in a portfolio of life-risk insurance policies of a Spanish insurance company.
description: face-to-face interview;
DOI: 10.5281/zenodo.7031461
title: Excel

description: hey
DOI: 10.5281/zenodo.7031460
title: Excel

description: hey
DOI: 10.34740/kaggle/ds/2260058
title: Multi-lingual HateSpeech Dataset
DOI: 10.5281/zenodo.6564253
title: Improving sequence alignments with AlphaFold2 regardless of structural modeling accuracy

description: Data, figures and tables from the manuscript "Improving sequence alignments with AlphaFold2 regardless of structural modeling accuracy". The repository containing all the steps to replicate the analysis is available at GitHub (https://github.com/cbcrg/msa-af2-nf). *The authors Athanasios Baltzis and Leila Mansouri contributed equally.
DOI: 10.25574/26397
title: Chandra X-ray Observatory ObsId 26397

description: Toward an FRB Progenitor: Elucidating the FRB-AGN Connection with Chandra
DOI: 10.5281/zenodo.7031676
title: Dataset of Sustainability Practices

description: Sustainability data were gathered from reliable sources based on the selected countries; Australia, USA, Singapore, Sri Lanka, Malaysia, and South Africa.
DOI: 10.5281/zenodo.7031675
title: Dataset of Sustainability Practices

description: Sustainability data were gathered from reliable sources based on the selected countries; Australia, USA, Singapore, Sri Lanka, Malaysia, and South Africa.
DOI: 10.34740/kaggle/dsv/4134924
title: UNET Lung Segmentation Weights for Chest X Rays
DOI: 10.5281/zenodo.6850116
title: High-density electrode recordings reveal strong and specific connections between retinal ganglion cells and midbrain neurons.

description: This is the source file to be use for debugging problems on your own set-up. This files is a good example to both the repository provided for visual processing on the Kremow GitHub: https://github.com/KremkowLab/Axon-on-Neuropixels-in-Kilosort https://github.com/KremkowLab/tangential_recording
DOI: 10.5281/zenodo.6850115
title: High-density electrode recordings reveal strong and specific connections between retinal ganglion cells and midbrain neurons.

description: This is the source file to be use for debugging problems on your own set-up. This files is a good example to both the repository provided for visual processing on the Kremow GitHub: https://github.com/KremkowLab/Axon-on-Neuropixels-in-Kilosort https://github.com/KremkowLab/tangential_recording
DOI: 10.5281/zenodo.7027566
title: Sparsified Model Zoo Twins: A Dataset of Sparsified Populations of Neural Network Models - SVHN

description: <strong>Abstract</strong> In the last years, neural networks have evolved from laboratory environments to the state-of-the-art for many real-world problems. Our hypothesis is that neural network models (i.e., their weights and biases) evolve on unique, smooth trajectories in weight space during training. Following, a population of such neural network models (refereed to as “model zoo”) would form topological structures in weight space. We think that the geometry, curvature and smoothness of these structures contain information about the state of training and can be reveal latent properties of individual models. With such zoos, one could investigate novel approaches for (i) model analysis, (ii) discover unknown learning dynamics, (iii) learn rich representations of such populations, or (iv) exploit the model zoos for generative modelling of neural network weights and biases. Unfortunately, the lack of standardized model zoos and available benchmarks significantly increases the friction for further research about populations of neural networks. With this work, we publish a novel dataset of model zoos containing systematically generated and diverse populations of neural network models for further research. In total the proposed model zoo dataset is based on six image datasets, consist of 27 model zoos with varying hyperparameter combinations are generated and includes 50’360 unique neural network models resulting in over 2’585’360 collected model states. Additionally, to the model zoo data we provide an in-depth analysis of the zoos and provide benchmarks for multiple downstream tasks as mentioned before. <strong>Dataset</strong> This dataset is part of a larger collection of model zoos and contains the sparsified twins of models trained on SVHN. The original population is made available at https://doi.org/10.5281/zenodo.6632120. Sparsification is done using Variational Dropout, starting from the last epoch of the original population. The zip file contains the sparsification trajectory for 25 epochs for all 1000 models. All zoos with extensive information and code can be found at www.modelzoos.cc.
DOI: 10.5281/zenodo.7027567
title: Sparsified Model Zoo Twins: A Dataset of Sparsified Populations of Neural Network Models - SVHN

description: <strong>Abstract</strong> In the last years, neural networks have evolved from laboratory environments to the state-of-the-art for many real-world problems. Our hypothesis is that neural network models (i.e., their weights and biases) evolve on unique, smooth trajectories in weight space during training. Following, a population of such neural network models (refereed to as “model zoo”) would form topological structures in weight space. We think that the geometry, curvature and smoothness of these structures contain information about the state of training and can be reveal latent properties of individual models. With such zoos, one could investigate novel approaches for (i) model analysis, (ii) discover unknown learning dynamics, (iii) learn rich representations of such populations, or (iv) exploit the model zoos for generative modelling of neural network weights and biases. Unfortunately, the lack of standardized model zoos and available benchmarks significantly increases the friction for further research about populations of neural networks. With this work, we publish a novel dataset of model zoos containing systematically generated and diverse populations of neural network models for further research. In total the proposed model zoo dataset is based on six image datasets, consist of 27 model zoos with varying hyperparameter combinations are generated and includes 50’360 unique neural network models resulting in over 2’585’360 collected model states. Additionally, to the model zoo data we provide an in-depth analysis of the zoos and provide benchmarks for multiple downstream tasks as mentioned before. <strong>Dataset</strong> This dataset is part of a larger collection of model zoos and contains the sparsified twins of models trained on SVHN. The original population is made available at https://doi.org/10.5281/zenodo.6632120. Sparsification is done using Variational Dropout, starting from the last epoch of the original population. The zip file contains the sparsification trajectory for 25 epochs for all 1000 models. All zoos with extensive information and code can be found at www.modelzoos.cc.
DOI: 10.5281/zenodo.7031843
title: Afrotropical geoxyles and congeners in four genera

description: Taxa categorised by habit and habitat for the genera <em>Lannea</em>, <em>Ozoroa</em>, <em>Parinari </em>and <em>Syzygium.</em>
DOI: 10.5281/zenodo.7031842
title: Afrotropical geoxyles and congeners in four genera

description: Taxa categorised by habit and habitat for the genera <em>Lannea</em>, <em>Ozoroa</em>, <em>Parinari </em>and <em>Syzygium.</em>
DOI: 10.5517/ccdc.csd.cc25l4wt
title: CCDC 2013446: Experimental Crystal Structure Determination

description: Related Article: Andreas Hermann, Ulrike Opper, Andreas Voß, Lukas Brieger, Felix Otte, Christian Unkelbach, Donal F. O'Shea, Carsten Strohmann|2020|Angew.Chem.,Int.Ed.|59|22500|doi:10.1002/anie.202009318
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.cc25l4yw
title: CCDC 2013448: Experimental Crystal Structure Determination

description: Related Article: Andreas Hermann, Ulrike Opper, Andreas Voß, Lukas Brieger, Felix Otte, Christian Unkelbach, Donal F. O'Shea, Carsten Strohmann|2020|Angew.Chem.,Int.Ed.|59|22500|doi:10.1002/anie.202009318
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.cc25l4xv
title: CCDC 2013447: Experimental Crystal Structure Determination

description: Related Article: Andreas Hermann, Ulrike Opper, Andreas Voß, Lukas Brieger, Felix Otte, Christian Unkelbach, Donal F. O'Shea, Carsten Strohmann|2020|Angew.Chem.,Int.Ed.|59|22500|doi:10.1002/anie.202009318
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.cc25l4zx
title: CCDC 2013449: Experimental Crystal Structure Determination

description: Related Article: Andreas Hermann, Ulrike Opper, Andreas Voß, Lukas Brieger, Felix Otte, Christian Unkelbach, Donal F. O'Shea, Carsten Strohmann|2020|Angew.Chem.,Int.Ed.|59|22500|doi:10.1002/anie.202009318
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.cc25l50z
title: CCDC 2013450: Experimental Crystal Structure Determination

description: Related Article: Andreas Hermann, Ulrike Opper, Andreas Voß, Lukas Brieger, Felix Otte, Christian Unkelbach, Donal F. O'Shea, Carsten Strohmann|2020|Angew.Chem.,Int.Ed.|59|22500|doi:10.1002/anie.202009318
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.cc261q44
title: CCDC 2027435: Experimental Crystal Structure Determination

description: Related Article: Andreas Hermann, Annika Münch, Samantha A. Orr, Regine Herbst-Irmer, Robert E. Mulvey, Carsten Strohmann, Dietmar Stalke|2021|Inorg.Chem.|60|2872|doi:10.1021/acs.inorgchem.0c03471
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.cc29czqd
title: CCDC 2126684: Experimental Crystal Structure Determination

description: Related Article: Nisha Kushwah, Amey Wadawale, G. Kedarnath, K.R.S. Chandrakumar, Vimal K. Jain|2022|Polyhedron|226|116074|doi:10.1016/j.poly.2022.116074
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.cc29czrf
title: CCDC 2126685: Experimental Crystal Structure Determination

description: Related Article: Nisha Kushwah, Amey Wadawale, G. Kedarnath, K.R.S. Chandrakumar, Vimal K. Jain|2022|Polyhedron|226|116074|doi:10.1016/j.poly.2022.116074
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.cc2bwz07
title: CCDC 2171829: Experimental Crystal Structure Determination

description: Related Article: Weiqiang Tan, Jiahui Gao, Jing Guan, Xuejun Bi, Yizhen Tang, Chunying Zheng, Tingliang Yan, Chenglong Zhang|2022|J.Mol.Struct.|1269|133868|doi:10.1016/j.molstruc.2022.133868
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.cc2bwz18
title: CCDC 2171830: Experimental Crystal Structure Determination

description: Related Article: Weiqiang Tan, Jiahui Gao, Jing Guan, Xuejun Bi, Yizhen Tang, Chunying Zheng, Tingliang Yan, Chenglong Zhang|2022|J.Mol.Struct.|1269|133868|doi:10.1016/j.molstruc.2022.133868
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.cc2bwz29
title: CCDC 2171831: Experimental Crystal Structure Determination

description: Related Article: Weiqiang Tan, Jiahui Gao, Jing Guan, Xuejun Bi, Yizhen Tang, Chunying Zheng, Tingliang Yan, Chenglong Zhang|2022|J.Mol.Struct.|1269|133868|doi:10.1016/j.molstruc.2022.133868
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.cc2bwz3b
title: CCDC 2171832: Experimental Crystal Structure Determination

description: Related Article: Weiqiang Tan, Jiahui Gao, Jing Guan, Xuejun Bi, Yizhen Tang, Chunying Zheng, Tingliang Yan, Chenglong Zhang|2022|J.Mol.Struct.|1269|133868|doi:10.1016/j.molstruc.2022.133868
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.3762775
title: Replication package for class comment analysis

description: This project contains the necessary material to replicate the project. It also contains supplementary data to give better insights into the results.
DOI: 10.5281/zenodo.3762776
title: Replication package for class comment analysis

description: This project contains the necessary material to replicate the project. It also contains supplementary data to give better insights into the results.
DOI: 10.5281/zenodo.7031862
title: Environmental data in the Afrotropics for geoxyles and congeners in four genera

description: Extracted environmental data from points of occurrence in the genera <em>Lannea</em>, <em>Ozoroa</em>, <em>Parinari </em>and <em>Syzygium </em>for the following variables: temperature, temperature seasonality, precipitation, precipitation seasonality and dry season precipitation (Karger <em>et al.</em>, 2017); frost (Harris <em>et al.</em>, 2020); fire (Giglio <em>et al.</em>, 2018); herbivory (Hempson <em>et al</em>., 2015); TWI (Courtenay <em>et al</em>., in prep).
DOI: 10.5281/zenodo.7031861
title: Environmental data in the Afrotropics for geoxyles and congeners in four genera

description: Extracted environmental data from points of occurrence in the genera <em>Lannea</em>, <em>Ozoroa</em>, <em>Parinari </em>and <em>Syzygium </em>for the following variables: temperature, temperature seasonality, precipitation, precipitation seasonality and dry season precipitation (Karger <em>et al.</em>, 2017); frost (Harris <em>et al.</em>, 2020); fire (Giglio <em>et al.</em>, 2018); herbivory (Hempson <em>et al</em>., 2015); TWI (Courtenay <em>et al</em>., in prep).
DOI: 10.25430/researchdata.cab.unipd.it.00000698
title: Modeling-based design specifications for microfluidic gradients generators for biomedical applications

description: This work proposes a comprehensive approach to optimize the design of microfluidic concentration gradient generators (MGGs) for biomedical applications.