cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh2844796.08fu
title: SH2844796.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1867744.08fu
title: SH1867744.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1867745.08fu
title: SH1867745.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2844797.08fu
title: SH2844797.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2844798.08fu
title: SH2844798.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1867746.08fu
title: SH1867746.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.34740/kaggle/dsv/3912142
title: OntoUML/UFO Catalog
DOI: 10.5517/ccdc.csd.cc2bh1ws
title: CCDC 2159425: Experimental Crystal Structure Determination

description: Related Article: fei liu|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bh5df
title: CCDC 2159534: Experimental Crystal Structure Determination

description: Related Article: Yuanlian Tang, Lianpeng Tong*|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bh5jk
title: CCDC 2159538: Experimental Crystal Structure Determination

description: Related Article: Yuanlian Tang, Lianpeng Tong*|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bh5vw
title: CCDC 2159548: Experimental Crystal Structure Determination

description: Related Article: Chao Wang|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bhcqy
title: CCDC 2159730: Experimental Crystal Structure Determination

description: Related Article: Susumu Arimori, Yolanda Pérez-Fuertes, Sonia Lozano Yeste, Andrew M. Kelly, Magdalena E. Powell, Robin R. Groleau, Gabriele Kociok-Köhn, Steven D. Bull, Tony D. James|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bhcrz
title: CCDC 2159731: Experimental Crystal Structure Determination

description: Related Article: Susumu Arimori, Yolanda Pérez-Fuertes, Sonia Lozano Yeste, Andrew M. Kelly, Magdalena E. Powell, Robin R. Groleau, Gabriele Kociok-Köhn, Steven D. Bull, Tony D. James|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bj131
title: CCDC 2160362: Experimental Crystal Structure Determination

description: Related Article: Toni Grell, Lauren Macreadie, Evamarie Hey-Hawkins|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bj287
title: CCDC 2160398: Experimental Crystal Structure Determination

description: Related Article: Harri Sopo, Reijo Sillanpää|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bj3ll
title: CCDC 2160439: Experimental Crystal Structure Determination

description: Related Article: Ahmed Bari, Eric C. Hosten|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bj401
title: CCDC 2160452: Experimental Crystal Structure Determination

description: Related Article: Gan Dong|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bhykc
title: CCDC 2160283: Experimental Crystal Structure Determination

description: Related Article: Ya Chen|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: 10.25934/00001569
title: A Study to Examine the Effects of Alucol®, a Combination Magnesium/Aluminum Hydroxide-Containing Antacid, on the Pharmacokinetics of Rosiglitazone (8mg).

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00001546
title: An Open-Label Study to Obtain Clinical Experience with BRL49653C with Concurrent Alpha-glucosidase Therapy in Patients with Type 2 Diabetes Mellitus


description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.5281/zenodo.6802440
title: Plant genetic diversity affects multiple trophic levels and trophic interactions

description: We analyse 4702 effect sizes reported in 413 studies that consider effects of plant genetic diversity on trophic groups and their interactions.
DOI: 10.5281/zenodo.6802439
title: Plant genetic diversity affects multiple trophic levels and trophic interactions

description: We analyse 4702 effect sizes reported in 413 studies that consider effects of plant genetic diversity on trophic groups and their interactions.
DOI: 10.5519/qd.h5ke0t0z
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2 records)
DOI: 10.14457/tu.the.2021.261
title: การเปรียบเทียบการลงทุนในกลุ่มหลักทรัพย์กองทุนรวมโครงสร้างพื้นฐานและกลุ่มหลักทรัพย์หุ้นสามัญในกลุ่มเทคโนโลยีสารสนเทศและการสื่อสาร

description: ปัจจุบันการเปลี่ยนแปลงเทคโนโลยีเกิดขึ้นอย่างรวดเร็วและมีบทบาทสำคัญต่อการพัฒนาตั้งแต่ระบบเศรษฐกิจระดับครัวเรือนจนถึงระดับประเทศ นำมาซึ่งโอกาสในการค้นพบ สร้างสิ่งใหม่หรือพัฒนาสิ่งที่มีอยู่ให้ดีขึ้นกว่าเดิม ในขณะเดียวกันก็นำมาซึ่งอุปสรรคและข้อจำกัดเช่นกัน การปรับตัวที่รวดเร็วในยุคเทคโนโลยีจึงมีความสำคัญต่อความสำเร็จธุรกิจเป็นอย่างมากทุกอุตสาหกรรมต้องอาศัยเทคโนโลยีในการยกระดับธุรกิจให้ก้าวทันและสอดคล้องกับการเปลี่ยนแปลงอยู่เสมอ เทคโนโลยีจึงเข้าไปมีบทบาทสำคัญในทุกอุตสาหกรรมอย่างหลีกเลี่ยงไม่ได้ ไม่เพียงเท่านี้เทคโนโลยียังเปลี่ยนแปลงพฤติกรรมของมุนษย์ไปจากอดีตอย่างสิ้นเชิง อุตสาหกรรมเทคโนโลยีสารสนเทศจึงมีความสำคัญและเป็นที่สนใจของนักลงทุนมากขึ้นอย่างต่อเนื่อง เนื่องจากมีโอกาสเติบโตได้สูงในอนาคต ซึ่งทางเลือกการลงทุนก็มีหลายประเภท ไม่ว่าจะเป็น หุ้นสามัญ หุ้นกู้เอกชน และ กองทุนรวมโครงสร้างพื้นฐาน ซึ่งมีความแตกต่างกันในแง่ของ อัตราผลตอบแทน ความเสี่ยง สภาพคล่องและเงื่อนไข สิทธิประโยชน์จากการลงทุน เป็นต้น โดยนักลงทุนย่อมคาดหวังอัตราผลตอบแทนสูงที่สุดและความเสี่ยงต่ำที่สุด ทั้งนี้ต้องมีการคัดเลือกหลักทรัพย์อย่างความเหมาะเพื่อให้ตรงกับวัตถุประสงค์ของการลงทุน การศึกษาครั้งนี้จึงเปรียบเทียบผลตอบแทนของผลการดำเนินงานกลุ่มอุตสาหกรรมเทคโนโลยีสารสนเทศและการสื่อสาร ของกลุ่มหลักทรัพย์ที่มีการลงทุนกองทุนรวมโครงสร้าพื้นฐานกับกลุ่มหลักทรัพย์หุ้นสามัญ ตามแนวคิดการกระจายการลงทุนในกลุ่มหลักทรัพย์เพื่อให้เกิดการกระจายความเสี่ยงจากการลงทุน อันนำมาซึ่งพอร์ตการลงทุนที่มีประสิทธิภาพ โดยเปรียบเทียบว่าการลงทุนแบบหลายสินทรัพย์เป็นการบริหารความเสี่ยงการลงทุนที่มีประสิทธิภาพหรือไม่หากเพิ่มการลงทุนในกองทุนรวมโครงสร้างพื้นฐานหรือหุ้นสามัญในกลุ่มเทคโนโลยีสารสนเทศและการสื่อสารเข้าไปในพอร์ตการลงทุน จากการวิเคราะห์อัตราผลตอบแทน ความเสี่ยง และ Sharp Ratio ของพอร์ต รวมถึงการวิเคราะห์ผลการดำเนินงานตามการทดสอบ Independent Samples T-Test ผลของการวิจัยพบว่าการลงทุนในหลายสินทรัพย์สามารถกระจายความเสี่ยงได้ดียิ่งขึ้น จากการลงทุนในสินทรัพย์ที่มีค่าความแปรปรวนร่วมต่ำ และสัมประสิทธิ์สหสัมพันธ์เป็นลบระหว่าง 2 หลักทรัพย์ โดยพอร์ตการลงทุนที่ประกอบด้วยหุ้นสามัญกลุ่มเทคโนโลยีสารสนเทศและการสื่อสารจะมีค่า Sharp Ratio สูงกว่าพอร์ตการลงทุนที่ประกอบด้วยกองทุนรวมโครงสร้างพื้นฐานกลุ่มเทคโนโลยีสารสนเทศและการสื่อสาร ทั้งนี้เมื่อพิจารณาเส้นโค้งกลุ่มหลักทรัพย์ที่มีประสิทธิภาพของพอร์ตการลงทุนที่มีการเพิ่มกองทุนรวมโครงสร้างพื้นฐานและ/หรือ หุ้นสามัญกลุ่มเทคโนโลยีสารสนเทศและการสื่อสารจะอยู่เหนือกว่าเส้นโค้งที่มีประสิทธิภาพของพอร์ตการลงทุนที่มีเพียงหุ้นสามัญเท่านั้น สำหรับพอร์ตการลงทุนที่คาดหวังผลตอบแทนและยอมรับความเสี่ยงจากการลงทุนได้ในระดับสูง ดังนั้นกองทุนรวมโครงสร้างพื้นฐานกลุ่มเทคโนโลยีสารสนเทศและการสื่อสารจะเป็นทางเลือกหนึ่งในการจัดพอร์ตการลงทุนที่มีประสิทธิภาพและเพิ่มโอกาสของพอร์ตที่จะมีผลการดำเนินงานที่ดีขึ้นและกระจายความเสี่ยงได้มากขึ้น
DOI: 10.34740/kaggle/dsv/3912339
title: Our World in Data - COVID-19
DOI: 10.5517/ccdc.csd.cc27rq0r
title: CCDC 2078364: Experimental Crystal Structure Determination

description: Related Article: Hui Hu, Jia Qu, Kai-Rui Yang, Junfang Hao, Jianhui Yang, Rui-Feng Song, Li-Ying Zhang, Zuo-Xi Li|2022|Cryst.Growth Des.|22|4503|doi:10.1021/acs.cgd.2c00428
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.6804759
title: Intensified atmospheric branch of the hydrological cycle over the Tibetan Plateau during the Last Interglacial from a dynamical downscaling perspective

description: We provide the datasets run for investigating the atmospheric branch of the hydrological cycle over the Tibetan Plateau during the Last Interglacial (127 ka), based on the mesoscale Weather Research and Forecasting (WRF) model driven by the Community Earth System Model (CESM). We upload summer mean of the model outputs from the WRF over the Tibetan Plateau used in estimating the atmospheric branch of the hydrological cycle.
description: {"references": ["Jiang et al. (2022). Intensified atmospheric branch of the hydrological cycle over the Tibetan Plateau during the Last Interglacial from a dynamical downscaling perspective. Journal of Geophysical Research: Atmospheres."]}
DOI: 10.5281/zenodo.6804758
title: Intensified atmospheric branch of the hydrological cycle over the Tibetan Plateau during the Last Interglacial from a dynamical downscaling perspective

description: We provide the datasets run for investigating the atmospheric branch of the hydrological cycle over the Tibetan Plateau during the Last Interglacial (127 ka), based on the mesoscale Weather Research and Forecasting (WRF) model driven by the Community Earth System Model (CESM). We upload summer mean of the model outputs from the WRF over the Tibetan Plateau used in estimating the atmospheric branch of the hydrological cycle.
description: {"references": ["Jiang et al. (2022). Intensified atmospheric branch of the hydrological cycle over the Tibetan Plateau during the Last Interglacial from a dynamical downscaling perspective. Journal of Geophysical Research: Atmospheres."]}
DOI: 10.25919/8cvt-9483
title: Southern Surveyor Voyage SS2009_T03 End of Voyage (EOV) Archive

description: This record describes the End of Voyage (EOV) archive from the Marine National Facility (MNF) RV Southern Surveyor transit voyage SS2009_T03, titled "The composition of shelf and deep sea benthos in the Bass Canyon and the distribution of larval fish off the Eastern Tasmanian coast." The voyage took place from Hobart to Sydney between October 10 and October 15, 2009 (UTC). For further information please refer to the lineage statement and voyage documentation links below. The archive for the SS2009_T03 EOV raw data is curated by the CSIRO National Collections and Marine Infrastructure (NCMI) Information and Data Centre (IDC) in Hobart, with a permanent digital archive at the CSIRO Data Access Portal (DAP, https://data.csiro.au/dap/), providing access to participants and processors of the data collected in the voyage. All voyage documentation is available electronically to MNF support via the local network. Access to voyage documentation for non-CSIRO participants can be made via NCMI_DataLibrarians@csiro.au.
DOI: 10.5281/zenodo.6804766
title: METASHIFT: A DATASET OF DATASETS FOR EVALUATING CONTEXTUAL DISTRIBUTION SHIFTS

description: Understanding the performance of machine learning models across diverse data distributions is critically important for reliable applications. Motivated by this, there is a growing focus on curating benchmark datasets that capture distribution shifts. In this work, we present MetaShift—a collection of 12,868 sets of natural images across 410 classes—to address this challenge. We leverage the natural heterogeneity of Visual Genome and its annotations to construct MetaShift. The key construction idea is to cluster images using its metadata, which provides context for each image (e.g. cats with cars or cats in bathroom) that represent distinct data distributions. MetaShift has two important benefits: first, it contains orders of magnitude more natural data shifts than previously available. Second, it provides explicit explanations of what is unique about each of its data sets and a distance score that measures the amount of distribution shift between any two of its data sets. Importantly, to support evaluating ImageNet trained models on MetaShift, we match MetaShift with ImageNet hierarchy. The matched version covers 867 out of 1,000 classes in ImageNet-1k. Each class in the ImageNet-matched Metashift contains 2301.6 images on average, and 19.3 subsets capturing images in different contexts. We also propose a method to construct tasks on the matched version, giving an example to construct 19,024 binary classification tasks on it.