cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8316429
title: CIFAR-100-R dataset

description: Towards Realistic Out-of-Distribution Detection: A Novel Evaluation Framework for Improving Generalization in OOD Detection: This paper presents a novel evaluation framework for Out-of-Distribution (OOD) detection that aims to assess the performance of machine learning models in more realistic settings. We observed that the real-world requirements for testing OOD detection methods are not satisfied by the current testing protocols. They usually encourage methods to have a strong bias towards a low level of diversity in normal data. To address this limitation, we propose new OOD test datasets (CIFAR-10-R, CIFAR-100-R, and ImageNet-30-R) that can allow researchers to benchmark OOD detection performance under realistic distribution shifts. Additionally, we introduce a Generalizability Score (GS) to measure the generalization ability of a model during OOD detection. Our experiments demonstrate that improving the performance on existing benchmark datasets does not necessarily improve the usability of OOD detection models in real-world scenarios. While leveraging deep pre-trained features has been identified as a promising avenue for OOD detection research, our experiments show that state-of-the-art pre-trained models tested on our proposed datasets suffer a significant drop in performance. To address this issue, we propose a post-processing stage for adapting pre-trained features under these distribution shifts before calculating the OOD scores, which significantly enhances the performance of state-of-the-art pre-trained models on our benchmarks.
DOI: 10.5281/zenodo.8316428
title: CIFAR-100-R dataset

description: Towards Realistic Out-of-Distribution Detection: A Novel Evaluation Framework for Improving Generalization in OOD Detection: This paper presents a novel evaluation framework for Out-of-Distribution (OOD) detection that aims to assess the performance of machine learning models in more realistic settings. We observed that the real-world requirements for testing OOD detection methods are not satisfied by the current testing protocols. They usually encourage methods to have a strong bias towards a low level of diversity in normal data. To address this limitation, we propose new OOD test datasets (CIFAR-10-R, CIFAR-100-R, and ImageNet-30-R) that can allow researchers to benchmark OOD detection performance under realistic distribution shifts. Additionally, we introduce a Generalizability Score (GS) to measure the generalization ability of a model during OOD detection. Our experiments demonstrate that improving the performance on existing benchmark datasets does not necessarily improve the usability of OOD detection models in real-world scenarios. While leveraging deep pre-trained features has been identified as a promising avenue for OOD detection research, our experiments show that state-of-the-art pre-trained models tested on our proposed datasets suffer a significant drop in performance. To address this issue, we propose a post-processing stage for adapting pre-trained features under these distribution shifts before calculating the OOD scores, which significantly enhances the performance of state-of-the-art pre-trained models on our benchmarks.
DOI: 10.5281/zenodo.8316496
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Marjorie Katharine Mestayer, http://www.wikidata.org/entity/Q35160641. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q35160641
DOI: 10.5281/zenodo.8316495
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Marjorie Katharine Mestayer, http://www.wikidata.org/entity/Q35160641. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q35160641
DOI: 10.5517/ccdc.csd.cc2bnfbs
title: CCDC 2164585: Experimental Crystal Structure Determination

description: Related Article: Qi Cheng|2023|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.cc2fdccl
title: CCDC 2246209: Experimental Crystal Structure Determination

description: Related Article: Jingwen Shi|2023|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.cc2fsqdc
title: CCDC 2258083: Experimental Crystal Structure Determination

description: Related Article: Ozlem Sarı, Mehmet Karakus, Peter Lönnecke, Evamarie Hey-Hawkins
|2023|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.cc2fwltr
title: CCDC 2260855: Experimental Crystal Structure Determination

description: Related Article: Qi An|2023|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.cc2fxnqr
title: CCDC 2261875: Experimental Crystal Structure Determination

description: Related Article: Ehsan Joukar Bahaderani|2023|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.cc2fxx4f
title: CCDC 2262105: Experimental Crystal Structure Determination

description: Related Article: Jan Borstelmann, Wolfgang Kies, Frank Rominger, Milan Kivala|2023|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.cc2chcx5
title: CCDC 2189527: Experimental Crystal Structure Determination

description: Related Article: Yanding Lin|2023|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.cc2g2t1f
title: CCDC 2266814: Experimental Crystal Structure Determination

description: Related Article: Ka-Ming Tong, Jessica Toigo, Brian O. Patrick, Michael O. Wolf|2023|Inorg.Chem.|62|13662|doi:10.1021/acs.inorgchem.3c02124
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.8316502
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Karl Michahelles, http://www.wikidata.org/entity/Q91515. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q91515
DOI: 10.5281/zenodo.8316501
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Karl Michahelles, http://www.wikidata.org/entity/Q91515. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q91515
DOI: 10.5281/zenodo.8316504
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Sverre Midtgård, http://www.wikidata.org/entity/Q107570408. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q107570408
DOI: 10.5281/zenodo.8316503
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Sverre Midtgård, http://www.wikidata.org/entity/Q107570408. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q107570408
DOI: 10.5281/zenodo.8316508
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by William Henry Miskin, http://www.wikidata.org/entity/Q8012101. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q8012101
DOI: 10.5281/zenodo.8316507
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by William Henry Miskin, http://www.wikidata.org/entity/Q8012101. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q8012101
DOI: 10.5281/zenodo.8316510
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Milan Mišík, http://www.wikidata.org/entity/Q6850634. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q6850634
DOI: 10.5281/zenodo.8316509
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Milan Mišík, http://www.wikidata.org/entity/Q6850634. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q6850634
DOI: 10.6084/m9.figshare.21485874
title: Dataset - variable selection

description: Dataset used to select variables to test in CMR models as potential factors in pre-weaning calf survival in migratory caribou, in the paper:Vuillaume, B., J. H. Richard, S. Hamel, J. Taillon, M. Festa-Bianchet and S. D. Côté. 2023. Birth date determines early calf survival in migratory caribou.
DOI: 10.6084/m9.figshare.21485874.v1
title: Dataset - variable selection

description: Dataset used to select variables to test in CMR models as potential factors in pre-weaning calf survival in migratory caribou, in the paper:Vuillaume, B., J. H. Richard, S. Hamel, J. Taillon, M. Festa-Bianchet and S. D. Côté. 2023. Birth date determines early calf survival in migratory caribou.
DOI: 10.6084/m9.figshare.21478740
title: Dataset - Figure 2.A and supplementary material 3

description: Dataset used for Fig. 2.A in the core of the paper :Vuillaume, B., J. H. Richard, S. Hamel, J. Taillon, M. Festa-Bianchet and S. D. Côté. 2023. Birth date determines early calf survival in migratory caribou.Also used in the supplementary material 3 of the article: Comparison of survival probabilities and environmental conditions encountered by female migratory caribou and their calves of the Rivière-aux-Feuilles herd (Nunavik, Canada) during the three years of the study (2016 – 2018).
DOI: 10.6084/m9.figshare.21478740.v1
title: Dataset - Figure 2.A and supplementary material 3

description: Dataset used for Fig. 2.A in the core of the paper :Vuillaume, B., J. H. Richard, S. Hamel, J. Taillon, M. Festa-Bianchet and S. D. Côté. 2023. Birth date determines early calf survival in migratory caribou.Also used in the supplementary material 3 of the article: Comparison of survival probabilities and environmental conditions encountered by female migratory caribou and their calves of the Rivière-aux-Feuilles herd (Nunavik, Canada) during the three years of the study (2016 – 2018).
DOI: 10.6084/m9.figshare.21476958
title: Dataset - survival analysis

description: Dataset used to produce analyses of pre-weaning calf survival in migratory caribou, as part of the results presented in the core of the paper:Vuillaume, B., J. H. Richard, S. Hamel, J. Taillon, M. Festa-Bianchet and S. D. Côté. 2023. Birth date determines early calf survival in migratory caribou.2 datasets: including stillborns (..._withSB.txt) and excluding stillborns (..._noSB.txt)<br>
DOI: 10.6084/m9.figshare.21476889
title: Dataset - supplementary material 2

description: Analysis of the correlation between meteorological data from the North American Regional Reanalysis (NARR) and data available at Nunavik weather stations.Dataset used to produce the analysis for the electronic supplementary material 2, for the paper:Vuillaume, B., J. H. Richard, S. Hamel, J. Taillon, M. Festa-Bianchet and S. D. Côté. 2023. Birth date determines early calf survival in migratory caribou.
DOI: 10.5281/zenodo.8316516
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Dieter Mollenhauer, http://www.wikidata.org/entity/Q18223101. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q18223101
DOI: 10.5281/zenodo.8316515
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Dieter Mollenhauer, http://www.wikidata.org/entity/Q18223101. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q18223101
DOI: 10.5281/zenodo.8316518
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Carlos Mateus Romariz Monteiro, http://www.wikidata.org/entity/Q19001591. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q19001591
DOI: 10.5281/zenodo.8316517
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Carlos Mateus Romariz Monteiro, http://www.wikidata.org/entity/Q19001591. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q19001591
DOI: 10.5281/zenodo.8316520
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Joachim John Monteiro, http://www.wikidata.org/entity/Q94608257. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q94608257
DOI: 10.5281/zenodo.8316519
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Joachim John Monteiro, http://www.wikidata.org/entity/Q94608257. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q94608257
DOI: 10.5281/zenodo.8316528
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Warren K. Moorehead, http://www.wikidata.org/entity/Q7970314. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q7970314
DOI: 10.5281/zenodo.8316527
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Warren K. Moorehead, http://www.wikidata.org/entity/Q7970314. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q7970314
DOI: 10.5281/zenodo.8316192
title: Datasheet-Experimental and Computational Strategies for Improving the Aerodynamic Performance with SETE

description: Paper Title: Experimental and Computational Strategies for Improving The Aerodynamic Performance with SETE Paper Abstract: An open-loop wind tunnel experiment and Computational Fluid Dynamics simulations are carried out on several Static Extended Trailing Edge (SETE) attached to the NACA0012 airfoil wing model to investigate the effect of a SETE on the aerodynamic characteristics at low Reynolds. A thin extended trailing edge of length 20% of the chord and 15° deflection appears to generate 74.24% more lift concerning the baseline model. SETE enables a smooth, gradual stall, resulting in more time for stall recovery. A high benefit margin makes SETE an ideal option to achieve more cruise flight efficiency. *This repository contains: <strong>Datasheet </strong> Datasheet Contents: Sheet 1: Wind Tunnel Experiment Data (Paper section <strong>IV.A.3</strong>) Sheet 2: CFD Simulation Data (Paper section <strong>IV.B.3</strong>) Sheet 3: Baseline Model (Paper section <strong>IV.A.1-2</strong>) Sheet 4: Calculation of Lift Increment (Paper section <strong>IV.C</strong>) Sheet 5: Calculation of Benefit Margin (Paper section <strong>IV.D</strong>) Sheet 6: Coefficient of Pressure sample (Paper section <strong>IV.B.3</strong>) <strong>CAD geometries in .STEP format</strong> Ansys Workbench files (Upon request) Contact: nazibeadin@gmail.com
DOI: 10.5281/zenodo.8316191
title: Datasheet-Experimental and Computational Strategies for Improving the Aerodynamic Performance with SETE

description: Paper Title: Experimental and Computational Strategies for Improving The Aerodynamic Performance with SETE Paper Abstract: An open-loop wind tunnel experiment and Computational Fluid Dynamics simulations are carried out on several Static Extended Trailing Edge (SETE) attached to the NACA0012 airfoil wing model to investigate the effect of a SETE on the aerodynamic characteristics at low Reynolds. A thin extended trailing edge of length 20% of the chord and 15° deflection appears to generate 74.24% more lift concerning the baseline model. SETE enables a smooth, gradual stall, resulting in more time for stall recovery. A high benefit margin makes SETE an ideal option to achieve more cruise flight efficiency. *This repository contains: <strong>Datasheet </strong> Datasheet Contents: Sheet 1: Wind Tunnel Experiment Data (Paper section <strong>IV.A.3</strong>) Sheet 2: CFD Simulation Data (Paper section <strong>IV.B.3</strong>) Sheet 3: Baseline Model (Paper section <strong>IV.A.1-2</strong>) Sheet 4: Calculation of Lift Increment (Paper section <strong>IV.C</strong>) Sheet 5: Calculation of Benefit Margin (Paper section <strong>IV.D</strong>) Sheet 6: Coefficient of Pressure sample (Paper section <strong>IV.B.3</strong>) <strong>CAD geometries in .STEP format</strong> Ansys Workbench files (Upon request) Contact: nazibeadin@gmail.com
DOI: 10.5281/zenodo.8316535
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Maria Gugelberg von Moos, http://www.wikidata.org/entity/Q16059509. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q16059509
DOI: 10.5281/zenodo.8316534
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Maria Gugelberg von Moos, http://www.wikidata.org/entity/Q16059509. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q16059509
DOI: 10.5281/zenodo.8316537
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Artur Augusto Taborda de Morais, http://www.wikidata.org/entity/Q21388641. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21388641
DOI: 10.5281/zenodo.8316536
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Artur Augusto Taborda de Morais, http://www.wikidata.org/entity/Q21388641. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21388641
DOI: 10.5281/zenodo.8316539
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by František Pluskal Moravičanský, http://www.wikidata.org/entity/Q12017419. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q12017419