cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh2787342.08fu
title: SH2787342.08FU

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/sh2787343.08fu
title: SH2787343.08FU

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/sh519524.07fu
title: SH519524.07FU

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/sh519525.07fu
title: SH519525.07FU

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/sh519526.07fu
title: SH519526.07FU

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/sh2787344.08fu
title: SH2787344.08FU

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/sh2787345.08fu
title: SH2787345.08FU

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/sh519527.07fu
title: SH519527.07FU

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/sh2787346.08fu
title: SH2787346.08FU

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/sh2787347.08fu
title: SH2787347.08FU

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: 10.6084/m9.figshare.23271467
title: Thomas Jefferson University LGBTQ Provider Survey - Dr. Nicole Simone .xlsx

description: Deidentified responses to a survey of physicians regarding perceptions on the LGBTQ+ patient population and their concerns with different cancer screenings
DOI: 10.6084/m9.figshare.23271467.v1
title: Thomas Jefferson University LGBTQ Provider Survey - Dr. Nicole Simone .xlsx

description: Deidentified responses to a survey of physicians regarding perceptions on the LGBTQ+ patient population and their concerns with different cancer screenings
DOI: 10.25350/b5np4v
title: Berkeley Open Extended Reality Recording Dataset 2023 (BOXRR-23)
DOI: 10.15787/vtt1/dcr1yu
title: Using Health Behavior Theory and Relative Risk Information to Increase and Inform Use of Alternative Transportation (05-008)

description: Project Description: All interventions aimed at promoting walking and cycling as an alternative transportation must educate the public on the associated risk and account for it in order to allocate resources efficiently. There are two components to estimating injury risk – injury counts (the numerator )and a measure of exposure (the denominator). Injury count (fatalities and non-fatal injuries) or the numerator can be sourced from the state crash database (CRIS), however, that excludes events that do not involve a motor-vehicle. Additionally, crash data provides limited information on injury diagnosis beyond discrete identification of injury severity (e.g., fatality, suspected serious injury, possible injury). The most popular and commonly used measure of exposure is population, for it is an easily available metric. However, population while a measure of the burden of injury, overestimates the risk among younger population and males (Keall, 1995). Furthermore, Buehler and Pucher (2021) argue that while per-capita rates are useful for controlling for changes in population across different countries when making country-level comparisons, they do not control for changes in walking, cycling, and driving rates over time within each country. The project estimated three different measures of exposure – annual trip count, annual distance travelled and annual trip duration – for pedestrians and bicyclists. Data Scope: The Areawide Non-Motorized Exposure Tool makes it easier for practitioners to obtain and summarize nationwide travel survey data to estimate pedestrian and bicyclist exposure to risk at statewide and MPO area scales. The first part of the tool titled Statewide Exposure Estimates allows user to estimate non-motorized exposure at the state-level. The second part of the tool titled MPO Area Exposure Estimates also estimates non-motorize exposure but for individual MPOs throughout the nation. Data Specification: The tool uses NHTS (National Household Travel Survey) and (American Community Survey) data to produce annual non-motorized exposure estimates by mode for years 2013 to 2017 in terms of trips, miles of travel, and hours of travel for their respective areawide geography.
DOI: 10.5281/zenodo.7929195
title: Experimental and Simulation Data for "Hierarchical structure formation by crystal growth-front instabilities during ice templating" (2023) PNAS

description: <pre>Experimental and Simulation Data for: "Hierarchical structure formation by crystal growth-front instabilities during ice templating" by Kaiyang Yin, Kaihua Ji, Louise Strutzenberg Littles, Rohit Trivedi, Alain Karma, Ulrike G.K. Wegst (2023) PNAS, DOI: 10.1073/pnas.2210242120. </pre>
DOI: 10.5281/zenodo.7929194
title: Experimental and Simulation Data for "Hierarchical structure formation by crystal growth-front instabilities during ice templating" (2023) PNAS

description: <pre>Experimental and Simulation Data for: "Hierarchical structure formation by crystal growth-front instabilities during ice templating" by Kaiyang Yin, Kaihua Ji, Louise Strutzenberg Littles, Rohit Trivedi, Alain Karma, Ulrike G.K. Wegst (2023) PNAS, DOI: 10.1073/pnas.2210242120. </pre>
DOI: 10.5517/ccdc.csd.cc2dq4s2
title: CCDC 2225824: Experimental Crystal Structure Determination

description: Related Article: Yi-Hang Deng, Chuan-Bao Zhang, Jun-Jie Sun, Wen-Li Xu, Ji-Ya Fu|2023|Org.Biomol.Chem.|21|4388|doi:10.1039/D3OB00559C
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.cc2dq4t3
title: CCDC 2225825: Experimental Crystal Structure Determination

description: Related Article: Yi-Hang Deng, Chuan-Bao Zhang, Jun-Jie Sun, Wen-Li Xu, Ji-Ya Fu|2023|Org.Biomol.Chem.|21|4388|doi:10.1039/D3OB00559C
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.cc2drd6s
title: CCDC 2227015: Experimental Crystal Structure Determination

description: Related Article: Max Zitzmann, Frank Hampel, Henry Dube|2023|Chemical Science|14|5734|doi:10.1039/D2SC06939C
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.cc2drd7t
title: CCDC 2227016: Experimental Crystal Structure Determination

description: Related Article: Max Zitzmann, Frank Hampel, Henry Dube|2023|Chemical Science|14|5734|doi:10.1039/D2SC06939C
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.cc2drd8v
title: CCDC 2227017: Experimental Crystal Structure Determination

description: Related Article: Max Zitzmann, Frank Hampel, Henry Dube|2023|Chemical Science|14|5734|doi:10.1039/D2SC06939C
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.cc2drd9w
title: CCDC 2227018: Experimental Crystal Structure Determination

description: Related Article: Max Zitzmann, Frank Hampel, Henry Dube|2023|Chemical Science|14|5734|doi:10.1039/D2SC06939C
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.cc2f51nb
title: CCDC 2239181: Experimental Crystal Structure Determination

description: Related Article: Hong-Ying Zhang, Shu-Juan Qiu, Huan-Huan Yang, Meng-Ting Wang, Jie Yang, Han-Bin Wang, Nai-Hao Liu, Xu-Dong Chen|2023|Dalton Trans.|52|7166|doi:10.1039/D3DT00865G
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.cc2f59rp
title: CCDC 2239432: Experimental Crystal Structure Determination

description: Related Article: Lingheng Kong, Xi Han, Panjie Hu, Fen Wang, Xingwei Li|2023|Chem.Commun.|59|6690|doi:10.1039/D3CC01666H
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.cc2fdcx4
title: CCDC 2246226: Experimental Crystal Structure Determination

description: Related Article: Wei Wang, Zhaoliang Qin, Xinhui Zhang, Wanxiang Zhao, Wen Yang|2023|Org.Biomol.Chem.|21|4304|doi:10.1039/D3OB00566F
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.cc2fdmk1
title: CCDC 2246463: Experimental Crystal Structure Determination

description: Related Article: Zuohu Zhou, Linmeng Xu, Guiyan Zhao, Kun Zhou, Baokuan Chen, Yanfeng Bi|2023|Inorg.Chem.Front.|10|3230|doi:10.1039/D3QI00479A
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: 10.34683/sr1761
title: StoneRounds Case: SR1761
title: Pattern Dystrophy

description: StoneRounds Case SR1761 was diagnosed with Pattern Dystrophy likely caused by mutations in the gene: PRPH2.
DOI: 10.5281/zenodo.7972323
title: Supplemental data for "Investigating the Impact of Irrigation on Malaria Vector Larval Habitats and Transmission using a Hydrology-based Model"

description: Supplemental data for "Investigating the Impact of Irrigation on Malaria Vector Larval Habitats and Transmission using a Hydrology-based Model"
DOI: 10.5281/zenodo.7972322
title: Supplemental data for "Investigating the Impact of Irrigation on Malaria Vector Larval Habitats and Transmission using a Hydrology-based Model"

description: Supplemental data for "Investigating the Impact of Irrigation on Malaria Vector Larval Habitats and Transmission using a Hydrology-based Model"
DOI: 10.5281/zenodo.7991865
title: Supplemental data for "Investigating the Impact of Irrigation on Malaria Vector Larval Habitats and Transmission using a Hydrology-based Model"

description: Supplemental data for "Investigating the Impact of Irrigation on Malaria Vector Larval Habitats and Transmission using a Hydrology-based Model"
DOI: 10.5281/zenodo.7991891
title: MAC genome assembly and gene prediction of Tetrahymena thermophila SB210

description: Corrected genome assembly and gene prediction of the MAC genome of T. thermophila SB210. These data were generated and analysed in the manuscript "Single-nucleotide polymorphism landscape of the macronuclear genome of <em>Tetrahymena thermophila".</em> Please see the Material & methods and Supplementary data files of this manuscript for more details about these files.
DOI: 10.5281/zenodo.7991890
title: MAC genome assembly and gene prediction of Tetrahymena thermophila SB210

description: Corrected genome assembly and gene prediction of the MAC genome of T. thermophila SB210. These data were generated and analysed in the manuscript "Single-nucleotide polymorphism landscape of the macronuclear genome of <em>Tetrahymena thermophila".</em> Please see the Material & methods and Supplementary data files of this manuscript for more details about these files.