cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2c4w8p
title: CCDC 2179432: Experimental Crystal Structure Determination

description: Related Article: Andrey V. Marchenko, Valery A. Ozeryanskii, Oleg P. Demidov, Alexander S. Antonov, Elena Yu. Tupikina, Alexander F. Pozharskii|2022|J.Org.Chem.|87|16506|doi:10.1021/acs.joc.2c02212
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.cc2c4w9q
title: CCDC 2179433: Experimental Crystal Structure Determination

description: Related Article: Andrey V. Marchenko, Valery A. Ozeryanskii, Oleg P. Demidov, Alexander S. Antonov, Elena Yu. Tupikina, Alexander F. Pozharskii|2022|J.Org.Chem.|87|16506|doi:10.1021/acs.joc.2c02212
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.cc2c4wbr
title: CCDC 2179434: Experimental Crystal Structure Determination

description: Related Article: Andrey V. Marchenko, Valery A. Ozeryanskii, Oleg P. Demidov, Alexander S. Antonov, Elena Yu. Tupikina, Alexander F. Pozharskii|2022|J.Org.Chem.|87|16506|doi:10.1021/acs.joc.2c02212
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.cc2c4wcs
title: CCDC 2179435: Experimental Crystal Structure Determination

description: Related Article: Andrey V. Marchenko, Valery A. Ozeryanskii, Oleg P. Demidov, Alexander S. Antonov, Elena Yu. Tupikina, Alexander F. Pozharskii|2022|J.Org.Chem.|87|16506|doi:10.1021/acs.joc.2c02212
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.21792197.v1
title: Fungal plant pathogen table with FUNGuild

description: Potential fungal pathogens consisted of both those that were exclusively pathogenic or with mixed life styles, and were categorized with confidence of either highly probable or probable.
DOI: 10.6084/m9.figshare.21743354.v1
title: Data

description: Data and scripts related to the work submitted.
DOI: 10.6084/m9.figshare.20623754
title: Hiding or Pleasing: Spousal Disagreement Among Ugandan Maize Farmers

description: To gain a better understanding of intrahousehold bargaining processes, surveys increasingly collect data from co-heads individually, especially on decision-making, asset ownership and labour contributions. However, answers provided by co-heads to the same set of questions often differ substantially. Recent research suggests that while some of this disagreement is due to random measurement error and cognitive bias, part also reflects non-overlapping information sets. We document differences in answers between male and female co-heads in monogamous smallholder maize-farming households in Uganda. We first confirm that not all disagreement can be explained by measurement error or bias. Using a field experiment, we then test if disagreement is due to information asymmetry between male and female co-heads. We also test an alternative explanation where discord is attributed to co-heads’ tendency to respond in line with prevailing gender norms and social customs. While the interventions did seem to reduce discord in survey response about decision-making, we do not find that information asymmetry nor reporting in line with gender norms and customs are the primary drivers of disagreement.
DOI: 10.6084/m9.figshare.20623754.v1
title: Hiding or Pleasing: Spousal Disagreement Among Ugandan Maize Farmers

description: To gain a better understanding of intrahousehold bargaining processes, surveys increasingly collect data from co-heads individually, especially on decision-making, asset ownership and labour contributions. However, answers provided by co-heads to the same set of questions often differ substantially. Recent research suggests that while some of this disagreement is due to random measurement error and cognitive bias, part also reflects non-overlapping information sets. We document differences in answers between male and female co-heads in monogamous smallholder maize-farming households in Uganda. We first confirm that not all disagreement can be explained by measurement error or bias. Using a field experiment, we then test if disagreement is due to information asymmetry between male and female co-heads. We also test an alternative explanation where discord is attributed to co-heads’ tendency to respond in line with prevailing gender norms and social customs. While the interventions did seem to reduce discord in survey response about decision-making, we do not find that information asymmetry nor reporting in line with gender norms and customs are the primary drivers of disagreement.
DOI: 10.5519/qd.c08vathr
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2617 records)
DOI: 10.6084/m9.figshare.21792230
title: Database of doping in 4H silicon carbide.docx

description: Formation-energy diagrams of impurities: Fig. S1~Fig. S58; Solubility of impurities as a function of temperature:Fig. S59~Fig. S114; Lattice distortion of 4H-SiC induced by doping. The dopant-induced lattice distortion is determined by the volume change after and before doping in 4H-SiC: Table S1; The solubility of impurities in 4H-SiC at 300, 600, 1800 and 2400 K: Table S2; Charge transition levels of impurities in 4H-SiC: Table S3.
DOI: 10.6084/m9.figshare.21792230.v1
title: Database of doping in 4H silicon carbide.docx

description: Formation-energy diagrams of impurities: Fig. S1~Fig. S58; Solubility of impurities as a function of temperature:Fig. S59~Fig. S114; Lattice distortion of 4H-SiC induced by doping. The dopant-induced lattice distortion is determined by the volume change after and before doping in 4H-SiC: Table S1; The solubility of impurities in 4H-SiC at 300, 600, 1800 and 2400 K: Table S2; Charge transition levels of impurities in 4H-SiC: Table S3.
DOI: 10.5281/zenodo.7300098
title: Seismic attenuation extraction from traffic signals recorded by a single seismic station (1/3)

description: This repository contains the raw field data and corresponding codes for the NUS exit site in the manuscript entitled "Seismic attenuation extraction from traffic signals recorded by a single seismic station " by Yumin Zhao, Enhedelihai Nilot, Bei Li, Yunyue Elita Li, and Gang Fang.
DOI: 10.5281/zenodo.7494032
title: Seismic attenuation extraction from traffic signals recorded by a single seismic station (1/3)

description: This repository contains the raw field data and corresponding codes for the NUS exit site in the manuscript entitled "Seismic attenuation extraction from traffic signals recorded by a single seismic station " by Yumin Zhao, Enhedelihai Nilot, Bei Li, Yunyue Elita Li, and Gang Fang.
DOI: 10.5281/zenodo.7300097
title: Seismic attenuation extraction from traffic signals recorded by a single seismic station (1/3)

description: This repository contains the raw field data and corresponding codes for the NUS exit site in the manuscript entitled "Seismic attenuation extraction from traffic signals recorded by a single seismic station " by Yumin Zhao, Enhedelihai Nilot, Bei Li, Yunyue Elita Li, and Gang Fang.
DOI: 10.5281/zenodo.7304752
title: Seismic attenuation extraction from traffic signals recorded by a single seismic station (2/3)

description: This repository contains the raw field data and corresponding codes for the West Coast Highway site in the manuscript entitled "Seismic attenuation extraction from traffic signals recorded by a single seismic station " by Yumin Zhao, Enhedelihai Nilot, Bei Li, Yunyue Elita Li, and Gang Fang.
DOI: 10.5281/zenodo.7304753
title: Seismic attenuation extraction from traffic signals recorded by a single seismic station (2/3)

description: This repository contains the raw field data and corresponding codes for the West Coast Highway site in the manuscript entitled "Seismic attenuation extraction from traffic signals recorded by a single seismic station " by Yumin Zhao, Enhedelihai Nilot, Bei Li, Yunyue Elita Li, and Gang Fang.
DOI: 10.5281/zenodo.7494035
title: Seismic attenuation extraction from traffic signals recorded by a single seismic station (2/3)

description: This repository contains the raw field data and corresponding codes for the West Coast Highway site in the manuscript entitled "Seismic attenuation extraction from traffic signals recorded by a single seismic station " by Yumin Zhao, Enhedelihai Nilot, Bei Li, Yunyue Elita Li, and Gang Fang.
DOI: 10.5281/zenodo.7304764
title: Seismic attenuation extraction from traffic signals recorded by a single seismic station (3/3)

description: This repository contains the raw field data and corresponding codes for the West Coast Park site in the manuscript entitled "Seismic attenuation extraction from traffic signals recorded by a single seismic station " by Yumin Zhao, Enhedelihai Nilot, Bei Li, Yunyue Elita Li, and Gang Fang. The data is about 7-month long. This repository contains the last two months of the data. The first 5 months of the data can be found at https://zenodo.org/record/4905734#.Y3MaoXZByUk.
DOI: 10.5281/zenodo.7304765
title: Seismic attenuation extraction from traffic signals recorded by a single seismic station (3/3)

description: This repository contains the raw field data and corresponding codes for the West Coast Park site in the manuscript entitled "Seismic attenuation extraction from traffic signals recorded by a single seismic station " by Yumin Zhao, Enhedelihai Nilot, Bei Li, Yunyue Elita Li, and Gang Fang. The data is about 7-month long. This repository contains the last two months of the data. The first 5 months of the data can be found at https://zenodo.org/record/4905734#.Y3MaoXZByUk.
DOI: 10.5281/zenodo.7494036
title: Seismic attenuation extraction from traffic signals recorded by a single seismic station (3/3)

description: This repository contains the raw field data and corresponding codes for the West Coast Park site in the manuscript entitled "Seismic attenuation extraction from traffic signals recorded by a single seismic station " by Yumin Zhao, Enhedelihai Nilot, Bei Li, Yunyue Elita Li, and Gang Fang. The data is about 7-month long. This repository contains the last two months of the data. The first 5 months of the data can be found at https://zenodo.org/record/4905734#.Y3MaoXZByUk.
DOI: 10.21227/nspe-tz82
title: six gait parameters

description: A clinical trial using three locations of the Dialysis Center of China Medical University Hospital (CMUH) was implemented to conduct unguarded gait monitoring of three independent 1.5 m walkways from 2021/11/12 to 2022/5/18. This clinical trial was approved by the Institutional Review Board (CMUH108-REC2-022) of CMUH Research Ethics Center. In addition, all methods performed in this study were in accordance with current regulations and guidelines.
DOI: 10.34740/kaggle/dsv/4096011
title: ⚖️ Roe V Wade Twitter Dataset (415K Tweets)
DOI: 10.15156/bio/sh1569534.08fu
title: SH1569534.08FU

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/sh3568798.08fu
title: SH3568798.08FU

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/sh3568799.08fu
title: SH3568799.08FU

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/sh3568800.08fu
title: SH3568800.08FU

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/sh1569535.08fu
title: SH1569535.08FU

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/sh1569536.08fu
title: SH1569536.08FU

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/sh3568801.08fu
title: SH3568801.08FU

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/sh3568802.08fu
title: SH3568802.08FU

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/sh3568803.08fu
title: SH3568803.08FU

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: 10.25549/one-c4-7082
title: ONE magazine 3/1 (1955-01)

description: ONE magazine, volume 3, number 1 (1955 January). Issued monthly.
DOI: 10.15156/bio/sh1569537.08fu
title: SH1569537.08FU

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.