cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/cu.the.2015.1512
title: การแปลคำสร้างใหม่ในนวนิยายวิทยาศาสตร์เรื่อง Dark Eden ของ Chris Beckett

description: สารนิพนธ์ฉบับนี้มุ่งศึกษาการแปลคำสร้างใหม่ในนวนิยายวิทยาศาสตร์เรื่อง Dark Eden ของ Chris Beckett จากภาษาอังกฤษเป็นภาษาไทย ผู้วิจัยได้นำแนวทางต่างๆ มาใช้ในการวิเคราะห์ตัวบทต้นฉบับ ศึกษาและแก้ปัญหาการแปลคำสร้างใหม่ รวมทั้งประยุกต์เอาส่วนหนึ่งของแนวทางการแปลแบบสัญศาสตร์เชิงสังคม (Sociosemiotic Approach) เรียบเรียงโดยหวังจื้อเจียง (Wang Zhijiang) มาใช้ เพื่อถ่ายทอดความหมายโดยนัย (designative meaning)ความหมายทางภาษาศาสตร์ (linguistic meaning) ในระดับสัทศาสตร์ (Phonology) และระดับคำ (Lexicon) และถ่ายทอดหน้าที่ของสัญลักษณ์ทางภาษาในด้านสุนทรียศาสตร์ (aesthetic function) ของคำสร้างใหม่ ผลการวิจัยพบว่า นอกจากแนวทางดังกล่าวจะช่วยให้ผู้วิจัยคำนึงถึงความหมายของคำสร้างใหม่ตามบริบทแล้วยังช่วยให้ผู้วิจัยคำนึงถึงเสียงและลักษณะรูปคำ รวมทั้งหน้าที่ทางสุนทรียศาสตร์ของคำ ดังนั้น เมื่อผู้วิจัยแปลคำสร้างใหม่โดยพยายามรักษาองค์ประกอบต่างๆ เหล่านี้ไว้ให้ได้มากที่สุดคำสร้างใหม่ในภาษาปลายทางก็จะมีความเหมาะสมและเกิดสมมูลภาพยิ่งขึ้น
DOI: 10.5517/ccdc.csd.cc298693
title: CCDC 2123044: Experimental Crystal Structure Determination

description: Related Article: Takashi Mino, Toshiki Yamaoka, Kohei Watanabe, Chihiro Masuda, Shohei Kasano, Yasushi Yoshida, Ryo Takita, Yoshio Kasashima, Masami Sakamoto|2022|J.Org.Chem.|87|7365|doi:10.1021/acs.joc.2c00588
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.cc29ccjl
title: CCDC 2126089: Experimental Crystal Structure Determination

description: Related Article: Qin Wu, Genrui Xu, Weiqiang Li, Juan Wan, Teng Liu, Chao Huang|2022|Org.Lett.|24|3950|doi:10.1021/acs.orglett.2c01289
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.cc29l59d
title: CCDC 2132623: Experimental Crystal Structure Determination

description: Related Article: Zezhong Gao, Hang Wang, Chunlin Zhou, Ning Wang, Shangda Li, Gang Li|2022|Org.Lett.|24|3926|doi:10.1021/acs.orglett.2c01224
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.cc29l5bf
title: CCDC 2132624: Experimental Crystal Structure Determination

description: Related Article: Zezhong Gao, Hang Wang, Chunlin Zhou, Ning Wang, Shangda Li, Gang Li|2022|Org.Lett.|24|3926|doi:10.1021/acs.orglett.2c01224
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.cc29l5cg
title: CCDC 2132625: Experimental Crystal Structure Determination

description: Related Article: Zezhong Gao, Hang Wang, Chunlin Zhou, Ning Wang, Shangda Li, Gang Li|2022|Org.Lett.|24|3926|doi:10.1021/acs.orglett.2c01224
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.cc29w9dx
title: CCDC 2141399: Experimental Crystal Structure Determination

description: Related Article: Yu-Hua Guo, You-Zhu Yu, Yan-Hong Shen, Li-Guo Yang, Na-Na Liu, Zhong-Yuan Zhou, Yong-Sheng Niu|2022|Inorg.Chem.|61|8685|doi:10.1021/acs.inorgchem.2c00327
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.cc29w9h0
title: CCDC 2141402: Experimental Crystal Structure Determination

description: Related Article: Yu-Hua Guo, You-Zhu Yu, Yan-Hong Shen, Li-Guo Yang, Na-Na Liu, Zhong-Yuan Zhou, Yong-Sheng Niu|2022|Inorg.Chem.|61|8685|doi:10.1021/acs.inorgchem.2c00327
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.cc2b6v6m
title: CCDC 2151530: Experimental Crystal Structure Determination

description: Related Article: Raphael J. Oeschger, Raphael Bissig, Peter Chen|2022|J.Am.Chem.Soc.|144|10330|doi:10.1021/jacs.2c01641
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.cc24j22v
title: CCDC 1981646: Experimental Crystal Structure Determination

description: Related Article: Raphael J. Oeschger, Raphael Bissig, Peter Chen|2022|J.Am.Chem.Soc.|144|10330|doi:10.1021/jacs.2c01641
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.cc24j1sj
title: CCDC 1981637: Experimental Crystal Structure Determination

description: Related Article: Raphael J. Oeschger, Raphael Bissig, Peter Chen|2022|J.Am.Chem.Soc.|144|10330|doi:10.1021/jacs.2c01641
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.cc2b6tlz
title: CCDC 2151511: Experimental Crystal Structure Determination

description: Related Article: Raphael J. Oeschger, Raphael Bissig, Peter Chen|2022|J.Am.Chem.Soc.|144|10330|doi:10.1021/jacs.2c01641
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.cc2b6tp2
title: CCDC 2151514: Experimental Crystal Structure Determination

description: Related Article: Raphael J. Oeschger, Raphael Bissig, Peter Chen|2022|J.Am.Chem.Soc.|144|10330|doi:10.1021/jacs.2c01641
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.cc2b6tq3
title: CCDC 2151515: Experimental Crystal Structure Determination

description: Related Article: Raphael J. Oeschger, Raphael Bissig, Peter Chen|2022|J.Am.Chem.Soc.|144|10330|doi:10.1021/jacs.2c01641
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.20076506
title: obsouoldt2013.zip

description: The observational meteorological data for China in 2013
DOI: 10.6084/m9.figshare.20076506.v1
title: obsouoldt2013.zip

description: The observational meteorological data for China in 2013
DOI: 10.18141/1872217
title: Citizen Green #1 Well: Quantitative XRD & Thin Section Data

description: This submission includes information on quantitative x-ray diffraction measurements and thin section photography conducted on sidewall cores from the Citizen Green #1 well drilled on King Island, CA (API 07720688) as part of the WESTCARB partnership basin characterization effort. Cores were acquired with a rotary sidewall tool at a range of depths; only deeper cores were sufficiently consolidated for analysis. SidewallCoreFormationDepthNotes.xls provides details on available samples. Helium porosimetry, air permeability, and brine permeability measurements were conducted on all competent samples (~15). Samples were largely in the Mokelumne, H&T shale, and Starkey formations. All measurements were conducted at Lawrence Berkeley National Laboratory.
DOI: 10.15473/1872412
title: ORPC RivGen 2.0 at Igiugig, AK Operational Data 2019 and 2020

description: Information enclosed includes operational data from the ORPC RivGen 2.0 deployed at Igiugig, AK in 2019 and 2020. Flow velocities and device performance metrics are recorded along with a report detailing flow speed characterization where Igiugig river flow data is aggregated into a single flow velocity.
DOI: 10.5281/zenodo.6648710
title: Correlations between a Shintergy synchronized brain and a laser eld; a possible fractal structure of Consciousness (Part I of 7 – Local measure in time and space).

description: Data set from Correlations between a Shintergy synchronized brain and a laser eld; a possible fractal structure of Consciousness (Part I of 7 – Local measure in time and space), and figures.
DOI: 10.5281/zenodo.6648709
title: Correlations between a Shintergy synchronized brain and a laser eld; a possible fractal structure of Consciousness (Part I of 7 – Local measure in time and space).

description: Data set from Correlations between a Shintergy synchronized brain and a laser eld; a possible fractal structure of Consciousness (Part I of 7 – Local measure in time and space), and figures.
DOI: 10.57770/a17zgb
title: Replication Data for: Few-Shot and Continual Learning with Attentive Independent Mechanisms

description: Deep neural networks (DNNs) are known to perform well when deployed to test distributions that shares high similarity with the training distribution. Feeding DNNs with new data sequentially that were unseen in the training distribution has two major challenges — fast adaptation to new tasks and catastrophic forgetting of old tasks. Such difficulties paved way for the on-going research on few-shot learning and continual learning. To tackle these problems, we introduce Attentive Independent Mechanisms (AIM). We incorporate the idea of learning using fast and slow weights in conjunction with the decoupling of the feature extraction and higher-order conceptual learning of a DNN. AIM is designed for higher-order conceptual learning, modeled by a mixture of experts that compete to learn independent concepts to solve a new task. AIM is a modular component that can be inserted into existing deep learning frameworks. We demonstrate its capability for few-shot learning by adding it to SIB and trained on MiniImageNet and CIFAR-FS, showing significant improvement. AIM is also applied to ANML and OML trained on Omniglot, CIFAR-100 and MiniImageNet to demonstrate its capability in continual learning.
DOI: 10.34740/kaggle/dsv/3810620
title: BBC News
DOI: 10.5281/zenodo.6636625
title: COKI Language Dataset

description: The COKI Language Dataset contains predictions for 122 million academic publications. The dataset consists of DOI, title, ISO language code and the fastText language prediction probability score. <strong>Methodology</strong><br> A subset of the COKI Academic Observatory Dataset, which is produced by the Academic Observatory Workflows codebase [1], was extracted and converted to CSV with Bigquery and downloaded to a virtual machine. The subset consists of all publications with DOIs in our dataset, including each publication’s title and abstract from both Crossref Metadata and Microsoft Academic Graph. The CSV files were then processed with a Python script. The titles and abstracts for each record were pre-processed, concatenated together and analysed with fastText. The titles and abstracts from Crossref Metadata were used first, with the MAG titles and abstracts serving as a fallback when the Crossref Metadata information was empty. Language was predicted for each publication using the fastText lid.176.bin language identification model [2]. fastText was chosen because of its high accuracy and fast runtime speed [3]. The final output dataset consists of DOI, title, ISO language code and the fastText language prediction probability score. <strong>Query or Download</strong><br> The data is publicly accessible in BigQuery in the following two tables: coki-data-share.language.doi_language coki-data-share.language.iso_language When you make queries on these tables, make sure that you are in your own Google Cloud project, otherwise the queries will fail. See the COKI Language Detection README for instructions on how to download the data from Zenodo and load it into BigQuery.<br> <br> <strong>Code</strong><br> The code that generated this dataset, the BigQuery schemas and instructions for loading the data into BigQuery can be found here: https://github.com/The-Academic-Observatory/coki-language <strong>License</strong><br> COKI Language Dataset © 2022 by Curtin University is licenced under CC BY 4.0. <strong>Attributions</strong><br> This work contains information from: Microsoft Academic Graph which is made available under the ODC Attribution Licence. Crossref Metadata via the Metadata Plus program. Bibliographic metadata is made available without copyright restriction and Crossref generated data under a CC0 licence. See metadata licence information for more details. <strong>References</strong><br> [1] https://doi.org/10.5281/zenodo.6366695<br> [2] https://fasttext.cc/docs/en/language-identification.html<br> [3] https://modelpredict.com/language-identification-survey
DOI: 10.5281/zenodo.6636624
title: COKI Language Dataset

description: The COKI Language Dataset contains predictions for 122 million academic publications. The dataset consists of DOI, title, ISO language code and the fastText language prediction probability score. <strong>Methodology</strong><br> A subset of the COKI Academic Observatory Dataset, which is produced by the Academic Observatory Workflows codebase [1], was extracted and converted to CSV with Bigquery and downloaded to a virtual machine. The subset consists of all publications with DOIs in our dataset, including each publication’s title and abstract from both Crossref Metadata and Microsoft Academic Graph. The CSV files were then processed with a Python script. The titles and abstracts for each record were pre-processed, concatenated together and analysed with fastText. The titles and abstracts from Crossref Metadata were used first, with the MAG titles and abstracts serving as a fallback when the Crossref Metadata information was empty. Language was predicted for each publication using the fastText lid.176.bin language identification model [2]. fastText was chosen because of its high accuracy and fast runtime speed [3]. The final output dataset consists of DOI, title, ISO language code and the fastText language prediction probability score. <strong>Query or Download</strong><br> The data is publicly accessible in BigQuery in the following two tables: coki-data-share.language.doi_language coki-data-share.language.iso_language When you make queries on these tables, make sure that you are in your own Google Cloud project, otherwise the queries will fail. See the COKI Language Detection README for instructions on how to download the data from Zenodo and load it into BigQuery.<br> <br> <strong>Code</strong><br> The code that generated this dataset, the BigQuery schemas and instructions for loading the data into BigQuery can be found here: https://github.com/The-Academic-Observatory/coki-language <strong>License</strong><br> COKI Language Dataset © 2022 by Curtin University is licenced under CC BY 4.0. <strong>Attributions</strong><br> This work contains information from: Microsoft Academic Graph which is made available under the ODC Attribution Licence. Crossref Metadata via the Metadata Plus program. Bibliographic metadata is made available without copyright restriction and Crossref generated data under a CC0 licence. See metadata licence information for more details. <strong>References</strong><br> [1] https://doi.org/10.5281/zenodo.6366695<br> [2] https://fasttext.cc/docs/en/language-identification.html<br> [3] https://modelpredict.com/language-identification-survey
DOI: 10.6084/m9.figshare.20076467
title: Dataset of AGV and machines simultaneously scheduling

description: The benchmark of the simutanous scheduling problem.
DOI: 10.6084/m9.figshare.20076545.v1
title: Loading data

description: Direct shear tests were conducted under different normal stress and proppant conditions, on rough fractures with uncontrolled initial roughness.
DOI: 10.5517/ccdc.csd.cc2b6tt6
title: CCDC 2151518: Experimental Crystal Structure Determination

description: Related Article: Raphael J. Oeschger, Raphael Bissig, Peter Chen|2022|J.Am.Chem.Soc.|144|10330|doi:10.1021/jacs.2c01641
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.cc2b6tv7
title: CCDC 2151519: Experimental Crystal Structure Determination

description: Related Article: Raphael J. Oeschger, Raphael Bissig, Peter Chen|2022|J.Am.Chem.Soc.|144|10330|doi:10.1021/jacs.2c01641
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.cc2b6tw8
title: CCDC 2151520: Experimental Crystal Structure Determination

description: Related Article: Raphael J. Oeschger, Raphael Bissig, Peter Chen|2022|J.Am.Chem.Soc.|144|10330|doi:10.1021/jacs.2c01641
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.cc2b6v4k
title: CCDC 2151528: Experimental Crystal Structure Determination

description: Related Article: Raphael J. Oeschger, Raphael Bissig, Peter Chen|2022|J.Am.Chem.Soc.|144|10330|doi:10.1021/jacs.2c01641
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.cc2b9bjj
title: CCDC 2153927: Experimental Crystal Structure Determination

description: Related Article: Wen-Dao Chu, Ya-Ting Wang, Tian-Tian Liang, Teng Long, Jia-Yu Zuo, Zhihui Shao, Bo Chen, Cheng-Yu He, Quan-Zhong Liu|2022|Org.Lett.|24|3965|doi:10.1021/acs.orglett.2c01326
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.cc2bm202
title: CCDC 2163273: Experimental Crystal Structure Determination

description: Related Article: Xian Xu, Qianlin Sun, Xin Xu|2022|Org.Lett.|24|3970|doi:10.1021/acs.orglett.2c01329
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.cc2bmm8w
title: CCDC 2163808: Experimental Crystal Structure Determination

description: Related Article: Hyojong Yoo, Donald H. Berry|2022|Inorg.Chem.|61|8639|doi:10.1021/acs.inorgchem.2c01317
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.cc2bmm9x
title: CCDC 2163809: Experimental Crystal Structure Determination

description: Related Article: Hyojong Yoo, Donald H. Berry|2022|Inorg.Chem.|61|8639|doi:10.1021/acs.inorgchem.2c01317
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.cc2bmmby
title: CCDC 2163810: Experimental Crystal Structure Determination

description: Related Article: Hyojong Yoo, Donald H. Berry|2022|Inorg.Chem.|61|8639|doi:10.1021/acs.inorgchem.2c01317
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.