cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc20g6tj
title: CCDC 1860707: Experimental Crystal Structure Determination

description: Related Article: Lisa A. Bischoff,  Michael Drisch,  Christoph Kerpen,  Philipp T. Hennig,  Johannes Landmann,  Jan A. P. Sprenger,  Rüdiger Bertermann,  Matthias Grüne,  Qinqin Yuan,  Jonas Warneke,  Xue-Bin Wang,  Nikolai V. Ignat'ev,  Maik Finze|2019|Chem.-Eur.J.|25|3560|doi:10.1002/chem.201804698
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.cc20g6vk
title: CCDC 1860708: Experimental Crystal Structure Determination

description: Related Article: Lisa A. Bischoff,  Michael Drisch,  Christoph Kerpen,  Philipp T. Hennig,  Johannes Landmann,  Jan A. P. Sprenger,  Rüdiger Bertermann,  Matthias Grüne,  Qinqin Yuan,  Jonas Warneke,  Xue-Bin Wang,  Nikolai V. Ignat'ev,  Maik Finze|2019|Chem.-Eur.J.|25|3560|doi:10.1002/chem.201804698
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.cc20gd1y
title: CCDC 1860869: Experimental Crystal Structure Determination

description: Related Article: Jianhao Yin,  Jiapeng Li,  Gao-Xiang Wang,  Zhu-Bao Yin,  Wen-Xiong Zhang,  Zhenfeng Xi|2019|J.Am.Chem.Soc.|141|4241|doi:10.1021/jacs.9b00822
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.cc214xkp
title: CCDC 1881562: Experimental Crystal Structure Determination

description: Related Article: Jonathan Bock, Constantin G. Daniliuc, Klaus Bergander, Christian Mück-Lichtenfeld, Ulrich Hennecke|2019|Org.Biomol.Chem.|17|3181|doi:10.1039/C9OB00078J
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.cc214xlq
title: CCDC 1881563: Experimental Crystal Structure Determination

description: Related Article: Jonathan Bock, Constantin G. Daniliuc, Klaus Bergander, Christian Mück-Lichtenfeld, Ulrich Hennecke|2019|Org.Biomol.Chem.|17|3181|doi:10.1039/C9OB00078J
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.cc2157r7
title: CCDC 1881878: Experimental Crystal Structure Determination

description: Related Article: Johan Kajanus, Thomas Antonsson, Leif Carlsson, Ulrik Jurva, Anna Pettersen, Johan Sundell, Tord Inghardt|2019|Bioorg.Med.Chem.Lett.|29|1241|doi:10.1016/j.bmcl.2019.03.006
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.cc2159xg
title: CCDC 1881945: Experimental Crystal Structure Determination

description: Related Article: Amandeep Brar, Daniel K. Unruh, Adelia J. Aquino, Clemens Krempner|2019|Chem.Commun.|55|3513|doi:10.1039/C9CC01239G
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.cc2159yh
title: CCDC 1881946: Experimental Crystal Structure Determination

description: Related Article: Amandeep Brar, Daniel K. Unruh, Adelia J. Aquino, Clemens Krempner|2019|Chem.Commun.|55|3513|doi:10.1039/C9CC01239G
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.cc2159zj
title: CCDC 1881947: Experimental Crystal Structure Determination

description: Related Article: Amandeep Brar, Daniel K. Unruh, Adelia J. Aquino, Clemens Krempner|2019|Chem.Commun.|55|3513|doi:10.1039/C9CC01239G
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.cc215b0l
title: CCDC 1881948: Experimental Crystal Structure Determination

description: Related Article: Amandeep Brar, Daniel K. Unruh, Adelia J. Aquino, Clemens Krempner|2019|Chem.Commun.|55|3513|doi:10.1039/C9CC01239G
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.cc215b1m
title: CCDC 1881949: Experimental Crystal Structure Determination

description: Related Article: Amandeep Brar, Daniel K. Unruh, Adelia J. Aquino, Clemens Krempner|2019|Chem.Commun.|55|3513|doi:10.1039/C9CC01239G
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.cc215b3p
title: CCDC 1881951: Experimental Crystal Structure Determination

description: Related Article: Amandeep Brar, Daniel K. Unruh, Adelia J. Aquino, Clemens Krempner|2019|Chem.Commun.|55|3513|doi:10.1039/C9CC01239G
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: 10.17632/j7r4p9mpkb.1
title: Data for: Physical and Emotional Support of the Neighborhood for Older Adults: A Comparison of the United States and Germany

description: The living environment plays a critical role in healthy aging. As older adults’ physical abilities decrease, they are less likely to compensate for physical barriers and their action radius decreases. Therefore, older adults strongly depend on the neighborhood to meet their needs. In addition to coping with the physical environment, older adults’ fulfillment of emotional needs plays a key role in supporting successful aging in place. Further, historical differences in the built environment in the United States vs. Europe may lead to different expectations of need-fulfillment in different countries. The aim of this study was to shed light on older adults’ (N = 577, ages 70+) living situations and their demands on the neighborhood in two countries, the United States (n = 350) and Germany (n = 227). Differences between countries were more pronounced than differences between age groups or living areas, indicating that cultural influence is a key aspect of needs assessment for neighborhood design. In line with the literature in environmental gerontology, participants’ needs spanned across various dimensions related to the physical, social and psychological environment, which we categorized into global, local, and social needs. As opposed to Americans, Germans had higher expectations of their immediate neighborhood to fulfill their local (e.g., public transportation) and social needs (e.g., family nearby), but countries did not differ regarding global needs such as safety. Our findings suggest that successful aging in place can be supported by a neighborhood that meets people’s needs, but also takes their cultural background into consideration.
DOI: 10.5258/soton/d0835
title: Dataset supporting "Efficient State Retention through Paged Memory Management for Reactive Transient Computing"

description: This dataset supports the article entitled "Efficient State Retention through Paged Memory Management for Reactive Transient Computing" accepted for publication in the 56th ACM/IEEE Design Automation Conference, DAC 2019.
DOI: 10.5281/zenodo.2586713
title: SST CCI Auxiliary Datasets

description: These auxiliary datasets are used in the generation of SST CCI ATSR and AVHRR products.  Each set of files is contained in a separate tar archive and their application is briefly described below.  For more information on the SST CCI algorithms please refer to the publicly available Algorithm Theoretical Basis Document.

<strong>Retrieval coefficients:</strong>

ATSR_Retrieval_Coeffs.tar

These files contain the retrieval coefficients used to retrieve SST for the ATSR instruments.  These are banded by total column water vapour and viewing angle.  Coefficients are provided for all applicable retrievals - nadir two channel (n2), nadir three channel (n3), dual-view two channel (d2) and dual-view three channel (d3).

<strong>Spectral response functions:</strong>

AATSR_SRF.tar, ATSR2_SRF.tar, ATSR1_SRF.tar, AVHRR_SRF.tar

These files contain the spectral response functions for each channel of each ATSR and AVHRR instrument.  Note that all the AVHRR instruments are bundled in a single tar file including NOAA6 - NOAA19 and MetopA.  All files are in plain text format containing two columns, the first is the wavelength and the second the filter response at that wavelength.

<strong>Probability Density Functions:</strong>

ATSR_PDFs.tar, AVHRR_PDFs.tar

These are netCDF format files which include spectral and textural PDFs for cloudy conditions and textural PDFs only for clear-sky conditions.  Dimensions are defined also as variables which give metadata describing their bounds and bin widths.  The PDFs themselves are multi-dimensional variables constrained by the definitions of their given dimensions.

<strong>Sea Surface Emissivity:</strong>

ATSR_sse.tar, AVHRR_sse.tar

Within SST CCI, the sea surface emissivity is calculated offline, and then passed to RTTOV for use within the radiative transfer calculation (by-passing the internal RTTOV surface emissivity model).  These files are in ascii format and constructed in such a way as to be readable by RTTOV.

<strong>Level 4 Land/Sea Mask</strong>

mask_ostia20Tnolakes.nc

This is a netCDF format file containing the land/sea mask used when generating Level 4 data on the OSTIA grid.
description: Funded by the European Space Agency Climate Change Initiative
DOI: 10.5517/ccdc.csd.cc20gd30
title: CCDC 1860871: Experimental Crystal Structure Determination

description: Related Article: Jianhao Yin,  Jiapeng Li,  Gao-Xiang Wang,  Zhu-Bao Yin,  Wen-Xiong Zhang,  Zhenfeng Xi|2019|J.Am.Chem.Soc.|141|4241|doi:10.1021/jacs.9b00822
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.cc20gd41
title: CCDC 1860872: Experimental Crystal Structure Determination

description: Related Article: Jianhao Yin,  Jiapeng Li,  Gao-Xiang Wang,  Zhu-Bao Yin,  Wen-Xiong Zhang,  Zhenfeng Xi|2019|J.Am.Chem.Soc.|141|4241|doi:10.1021/jacs.9b00822
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.cc20gd52
title: CCDC 1860873: Experimental Crystal Structure Determination

description: Related Article: Jianhao Yin,  Jiapeng Li,  Gao-Xiang Wang,  Zhu-Bao Yin,  Wen-Xiong Zhang,  Zhenfeng Xi|2019|J.Am.Chem.Soc.|141|4241|doi:10.1021/jacs.9b00822
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: 10.15156/bio/sh179944.07fu
title: SH179944.07FU

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/sh179945.07fu
title: SH179945.07FU

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/sh179946.07fu
title: SH179946.07FU

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/sh179947.07fu
title: SH179947.07FU

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/sh179948.07fu
title: SH179948.07FU

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/sh179949.07fu
title: SH179949.07FU

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/sh179950.07fu
title: SH179950.07FU

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/sh179951.07fu
title: SH179951.07FU

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.