cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc28xt23
title: CCDC 2113055: Experimental Crystal Structure Determination

description: Related Article: Catriona R. Vanston, Thomas P. Nicholls, Alex C. Bissember, Michael G. Gardiner, Curtis C. Ho|2022|Inorg.Chem.|61|622|doi:10.1021/acs.inorgchem.1c03336
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.cc28xt34
title: CCDC 2113056: Experimental Crystal Structure Determination

description: Related Article: Catriona R. Vanston, Thomas P. Nicholls, Alex C. Bissember, Michael G. Gardiner, Curtis C. Ho|2022|Inorg.Chem.|61|622|doi:10.1021/acs.inorgchem.1c03336
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: 10.5066/p94z1s3b
title: Grass Carp detections via stationary receivers and manual tracking on Truman Reservoir, MO, January 2017 to October 2019

description: Diploid and triploid Grass Carp (Ctenopharyngodon Idella) tagged with acoustic transmitters were observed in Truman Reservoir, Missouri from January 2017 to October 2019 to determine longitudinal movements potentially associated with spawning. Passive acoustic receivers were deployed throughout the reservoir and its tributaries to monitor fish movements as they traversed up and downstream. This dataset consists of the detections made by passive receivers and those made by manual tracking.
DOI: 10.21227/a6vy-9v68
title: MMG recording of knee dynamic extension during isometric contraction

description: N/A
DOI: 10.5281/zenodo.7581758
title: AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio

description: <strong>Abstract</strong> We introduce AudioEar3D, a high-quality 3D ear dataset consisting of 112 point cloud ear scans with RGB images, to benchmark the ear reconstruction task. We further collect a 2D ear dataset composed of 2,000 images, each one with manual annotation of occlusion and 55 landmarks, named AudioEar2D. To our knowledge, both datasets have the largest scale and best quality of their kinds for public use. <strong>Usage</strong> The code is publicly available at https://github.com/seanywang0408/AudioEar. The file organization of AudioEar3D is as following: AudioEar3D ├── 001 # left ear data ├── left.jpg # processed RGB image of left ear ├── left.ply # processed point cloud of left ear in canonical pose (frontal view is negative-X and upper view is positive-Z) ├── left.json # 56 landmark annotations of image ├── mask_left.jpg # mask generated by the outer landmarks ├── masked_left.jpg # exclude background in left.jpg using mask_left.jpg ├── masked_left.png # exclude background in left.jpg using mask_left.jpg, but with four channels of RGB-A # right ear data ├── right.jpg ... ├── masked_right.png ├── 002 ... ├── 056 The file organization of AudioEar2D is as following: AudioEar2D ├── 00000.png # processed ear image ├── 00000.json # landmark annotations ... ├── 69985.png # the index is aligned with the data source FFHQ. ├── 69985.json <strong>Citation</strong> If you find this project useful, currently please cite the paper as: <pre>Xiaoyang Huang, Yanjun Wang, Yang Liu, Bingbing Ni, Wenjun Zhang, Jinxian Liu, Teng Li. "AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio". arXiv preprint arXiv:2301.12613, 2023.</pre> or using bibtex: <pre>@article{huang2023audioear, title={AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio}, author={Huang, Xiaoyang and Wang, Yanjun and Liu, Yang and Ni, Bingbing and Zhang Wenjun and Liu Jinxian and Li, Teng}, journal={arXiv preprint arXiv:2301.12613}, year={2023} }</pre> <strong>License</strong> The dataset is licensed under <em>Creative Commons Attribution 4.0 International</em> (CC BY 4.0). The code is under Apache-2.0 License. <strong>Mirror Link</strong> We recommend users to download the data from Zenodo official link. However, if you find any downloading problem, you can also use this mirror link from Google Drive. <strong>Changelog</strong> v1.0: Initial repository of AudioEar3D and AudioEar2D.
DOI: 10.6084/m9.figshare.21985487
title: n1_D0_input.sorted.dedup.merged.q20.bw

description: n1_D0_input.sorted.dedup.merged.q20.bw GEO Accession GSM4454676
DOI: 10.6084/m9.figshare.21985487.v1
title: n1_D0_input.sorted.dedup.merged.q20.bw

description: n1_D0_input.sorted.dedup.merged.q20.bw GEO Accession GSM4454676
DOI: 10.6084/m9.figshare.21987116
title: Supplementary Table 1 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer

description: Supplementary Table 1 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer
DOI: 10.6084/m9.figshare.21987116.v1
title: Supplementary Table 1 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer

description: Supplementary Table 1 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer
DOI: 10.6084/m9.figshare.19106825
title: Impact of a phantom decoy on foraging decisions by free-ranging herbivore shifts over time

description: R script used for data analysis in manuscript. Also includes accompanying csv files. af_diets has the composition of the diets used in the experiment. artificial_food_behaviour_all_visits_data has the raw data for the whole experiment.
DOI: 10.5281/zenodo.7592895
title: AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio

description: <strong>Abstract</strong> We introduce AudioEar3D, a high-quality 3D ear dataset consisting of 112 point cloud ear scans with RGB images, to benchmark the ear reconstruction task. We further collect a 2D ear dataset composed of 2,000 images, each one with manual annotation of occlusion and 55 landmarks, named AudioEar2D. To our knowledge, both datasets have the largest scale and best quality of their kinds for public use. The code is publicly available at https://github.com/seanywang0408/AudioEar. <strong>Citation</strong> If you find this project useful, currently please cite the paper as: <pre>Xiaoyang Huang, Yanjun Wang, Yang Liu, Bingbing Ni, Wenjun Zhang, Jinxian Liu, Teng Li. "AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio". arXiv preprint arXiv:2301.12613, 2023.</pre> or using bibtex: <pre>@article{huang2023audioear, title={AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio}, author={Huang, Xiaoyang and Wang, Yanjun and Liu, Yang and Ni, Bingbing and Zhang Wenjun and Liu Jinxian and Li, Teng}, journal={arXiv preprint arXiv:2301.12613}, year={2023} }</pre> <strong>License</strong> The dataset is licensed under <em>Creative Commons Attribution 4.0 International</em> (CC BY 4.0). The code is under Apache-2.0 License. <strong>Mirror Link</strong> We recommend users to download the data from Zenodo official link. However, if you find any downloading problem, you can also use this mirror link from Google Drive. <strong>Changelog</strong> v1.1: Add README.md. v1.0: Initial repository of AudioEar3D and AudioEar2D.
DOI: 10.5281/zenodo.7581757
title: AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio

description: <strong>Abstract</strong> We introduce AudioEar3D, a high-quality 3D ear dataset consisting of 112 point cloud ear scans with RGB images, to benchmark the ear reconstruction task. We further collect a 2D ear dataset composed of 2,000 images, each one with manual annotation of occlusion and 55 landmarks, named AudioEar2D. To our knowledge, both datasets have the largest scale and best quality of their kinds for public use. The code is publicly available at https://github.com/seanywang0408/AudioEar. <strong>Citation</strong> If you find this project useful, currently please cite the paper as: <pre>Xiaoyang Huang, Yanjun Wang, Yang Liu, Bingbing Ni, Wenjun Zhang, Jinxian Liu, Teng Li. "AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio". arXiv preprint arXiv:2301.12613, 2023.</pre> or using bibtex: <pre>@article{huang2023audioear, title={AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio}, author={Huang, Xiaoyang and Wang, Yanjun and Liu, Yang and Ni, Bingbing and Zhang Wenjun and Liu Jinxian and Li, Teng}, journal={arXiv preprint arXiv:2301.12613}, year={2023} }</pre> <strong>License</strong> The dataset is licensed under <em>Creative Commons Attribution 4.0 International</em> (CC BY 4.0). The code is under Apache-2.0 License. <strong>Mirror Link</strong> We recommend users to download the data from Zenodo official link. However, if you find any downloading problem, you can also use this mirror link from Google Drive. <strong>Changelog</strong> v1.1: Add README.md. v1.0: Initial repository of AudioEar3D and AudioEar2D.
DOI: 10.6084/m9.figshare.21987344
title: Supplemental Table 1 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer

description: Supplemental Table 1 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer
DOI: 10.6084/m9.figshare.21987344.v1
title: Supplemental Table 1 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer

description: Supplemental Table 1 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer
DOI: 10.6084/m9.figshare.21987341
title: Supplemental Table 2 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer

description: Supplemental Table 2 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer
DOI: 10.6084/m9.figshare.21987341.v1
title: Supplemental Table 2 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer

description: Supplemental Table 2 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer
DOI: 10.6084/m9.figshare.21987422
title: Supplemental Table 3 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer

description: Supplemental Table 3 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer
DOI: 10.6084/m9.figshare.21987422.v1
title: Supplemental Table 3 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer

description: Supplemental Table 3 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer
DOI: 10.6084/m9.figshare.21987482.v1
title: Supplemental Table 4 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer

description: Supplemental Table 4 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer
DOI: 10.6084/m9.figshare.21987482
title: Supplemental Table 4 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer

description: Supplemental Table 4 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer
DOI: 10.6084/m9.figshare.21987524
title: Supplemental Table 5 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer

description: Supplemental Table 5 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer
DOI: 10.6084/m9.figshare.21987524.v1
title: Supplemental Table 5 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer

description: Supplemental Table 5 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer
DOI: 10.6084/m9.figshare.21987584
title: Supplemental Table 6 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer

description: Supplemental Table 6 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer
DOI: 10.6084/m9.figshare.21987584.v1
title: Supplemental Table 6 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer

description: Supplemental Table 6 for Relationship between the concentration of green ink in distilled water and integrated photon absorbance measured using a 3D-printed spectrometer
DOI: 10.6084/m9.figshare.21810147
title: 1 million hypothetical MOFs

description: This project includes CIF files of about 1 million hypothetical MOFs (exactly 1,118,074 structures) generated by PORMAKE, which were used for pre-training MOFTransformer. The details of generating MOFs and optimization with UFF forcefield are summarized in the maunscript of MOFTransformer. <br> An example of file format: puc+N131+E128.cif The first token (e.g., pcu) means topology and other tokens mean names of building blocks, which can be identified in supporting information of the PORMAKE paper [computational screening of trillions of metal-organic frameworks for high-performance methane storage])
DOI: 10.5281/zenodo.7592928
title: Renewables Projection with Storage in the Brazilian Electricity Matrix using OSeMOSYS and Flextool - Dataset

description: This dataset presents the input and results for the study on the increase of Solar and Wind energy generation in the Brazilian Power System, as a way to achieve the NetZero by 2050. This study was conducted using the OSeMOSYS and Flextool as a deliverable of the Energy Modelling Platform for Latin America and The Caribbean Course - EMP-LAC 2023.
DOI: 10.5281/zenodo.7592927
title: Renewables Projection with Storage in the Brazilian Electricity Matrix using OSeMOSYS and Flextool - Dataset

description: This dataset presents the input and results for the study on the increase of Solar and Wind energy generation in the Brazilian Power System, as a way to achieve the NetZero by 2050. This study was conducted using the OSeMOSYS and Flextool as a deliverable of the Energy Modelling Platform for Latin America and The Caribbean Course - EMP-LAC 2023.
DOI: 10.5517/ccdc.csd.cc28xt67
title: CCDC 2113059: Experimental Crystal Structure Determination

description: Related Article: Catriona R. Vanston, Thomas P. Nicholls, Alex C. Bissember, Michael G. Gardiner, Curtis C. Ho|2022|Inorg.Chem.|61|622|doi:10.1021/acs.inorgchem.1c03336
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.cc28xtcd
title: CCDC 2113064: Experimental Crystal Structure Determination

description: Related Article: Catriona R. Vanston, Thomas P. Nicholls, Alex C. Bissember, Michael G. Gardiner, Curtis C. Ho|2022|Inorg.Chem.|61|622|doi:10.1021/acs.inorgchem.1c03336
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.cc28zfnc
title: CCDC 2114623: Experimental Crystal Structure Determination

description: Related Article: Elena Álvarez-Ruiz, Jorge J. Carbó, Manuel Gómez, Cristina Hernández-Prieto, Alberto Hernán-Gómez, Avelino Martín, Miguel Mena, Josep M. Ricart, Antoni Salom-Català, Cristina Santamaría|2022|Inorg.Chem.|61|474|doi:10.1021/acs.inorgchem.1c03152
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.cc28zfpd
title: CCDC 2114624: Experimental Crystal Structure Determination

description: Related Article: Elena Álvarez-Ruiz, Jorge J. Carbó, Manuel Gómez, Cristina Hernández-Prieto, Alberto Hernán-Gómez, Avelino Martín, Miguel Mena, Josep M. Ricart, Antoni Salom-Català, Cristina Santamaría|2022|Inorg.Chem.|61|474|doi:10.1021/acs.inorgchem.1c03152
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.cc28zfqf
title: CCDC 2114625: Experimental Crystal Structure Determination

description: Related Article: Elena Álvarez-Ruiz, Jorge J. Carbó, Manuel Gómez, Cristina Hernández-Prieto, Alberto Hernán-Gómez, Avelino Martín, Miguel Mena, Josep M. Ricart, Antoni Salom-Català, Cristina Santamaría|2022|Inorg.Chem.|61|474|doi:10.1021/acs.inorgchem.1c03152
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.cc28zfrg
title: CCDC 2114626: Experimental Crystal Structure Determination

description: Related Article: Elena Álvarez-Ruiz, Jorge J. Carbó, Manuel Gómez, Cristina Hernández-Prieto, Alberto Hernán-Gómez, Avelino Martín, Miguel Mena, Josep M. Ricart, Antoni Salom-Català, Cristina Santamaría|2022|Inorg.Chem.|61|474|doi:10.1021/acs.inorgchem.1c03152
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.cc28zfsh
title: CCDC 2114627: Experimental Crystal Structure Determination

description: Related Article: Elena Álvarez-Ruiz, Jorge J. Carbó, Manuel Gómez, Cristina Hernández-Prieto, Alberto Hernán-Gómez, Avelino Martín, Miguel Mena, Josep M. Ricart, Antoni Salom-Català, Cristina Santamaría|2022|Inorg.Chem.|61|474|doi:10.1021/acs.inorgchem.1c03152
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.cc28zftj
title: CCDC 2114628: Experimental Crystal Structure Determination

description: Related Article: Elena Álvarez-Ruiz, Jorge J. Carbó, Manuel Gómez, Cristina Hernández-Prieto, Alberto Hernán-Gómez, Avelino Martín, Miguel Mena, Josep M. Ricart, Antoni Salom-Català, Cristina Santamaría|2022|Inorg.Chem.|61|474|doi:10.1021/acs.inorgchem.1c03152
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.cc28zfvk
title: CCDC 2114629: Experimental Crystal Structure Determination

description: Related Article: Elena Álvarez-Ruiz, Jorge J. Carbó, Manuel Gómez, Cristina Hernández-Prieto, Alberto Hernán-Gómez, Avelino Martín, Miguel Mena, Josep M. Ricart, Antoni Salom-Català, Cristina Santamaría|2022|Inorg.Chem.|61|474|doi:10.1021/acs.inorgchem.1c03152
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.cc28zfwl
title: CCDC 2114630: Experimental Crystal Structure Determination

description: Related Article: Elena Álvarez-Ruiz, Jorge J. Carbó, Manuel Gómez, Cristina Hernández-Prieto, Alberto Hernán-Gómez, Avelino Martín, Miguel Mena, Josep M. Ricart, Antoni Salom-Català, Cristina Santamaría|2022|Inorg.Chem.|61|474|doi:10.1021/acs.inorgchem.1c03152
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.cc28zfxm
title: CCDC 2114631: Experimental Crystal Structure Determination

description: Related Article: Elena Álvarez-Ruiz, Jorge J. Carbó, Manuel Gómez, Cristina Hernández-Prieto, Alberto Hernán-Gómez, Avelino Martín, Miguel Mena, Josep M. Ricart, Antoni Salom-Català, Cristina Santamaría|2022|Inorg.Chem.|61|474|doi:10.1021/acs.inorgchem.1c03152
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.