cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0211190.10fu
title: SH0211190.10FU

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/sh0211191.10fu
title: SH0211191.10FU

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/sh0211192.10fu
title: SH0211192.10FU

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/sh0211193.10fu
title: SH0211193.10FU

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/sh0211194.10fu
title: SH0211194.10FU

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/sh0211195.10fu
title: SH0211195.10FU

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/sh0211196.10fu
title: SH0211196.10FU

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/sh0211197.10fu
title: SH0211197.10FU

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/sh0211198.10fu
title: SH0211198.10FU

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: 10.5281/zenodo.18125436
title: Linked collectors and determiners for: University of Miami, Voss Marine Invertebrate Collections.

description: Natural history specimen data linked to collectors and determiners held within, "University of Miami, Voss Marine Invertebrate Collections". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/0f6d26c0-c645-4f15-b1c9-fbcb77515545 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/0f6d26c0-c645-4f15-b1c9-fbcb77515545. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.18125439
title: Linked collectors and determiners for: The morphological diversity of Mymaridae (Hymenoptera): an atlas of scanning electron micrographs. Part 1. General overview and structure of the head.

description: Natural history specimen data linked to collectors and determiners held within, "The morphological diversity of Mymaridae (Hymenoptera): an atlas of scanning electron micrographs. Part 1. General overview and structure of the head". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/1d5719a4-b5f9-46ff-8d27-4010f0eed663 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/1d5719a4-b5f9-46ff-8d27-4010f0eed663. Formatted as a Frictionless Data package.
DOI: 10.6084/m9.figshare.30985381
title: CBR reporting study

description: The dataset of a research-on-research study on CBR reporting quality.
DOI: 10.6084/m9.figshare.30985381.v1
title: CBR reporting study

description: The dataset of a research-on-research study on CBR reporting quality.
DOI: 10.5281/zenodo.18125440
title: Linked collectors and determiners for: Museo Nacional de Historia Natural "Prof. Eugenio de Jesús Marcano" - Colección de Tipos.

description: Natural history specimen data linked to collectors and determiners held within, "Museo Nacional de Historia Natural "Prof. Eugenio de Jesús Marcano" - Colección de Tipos". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/22eb997f-9eef-44ce-851d-1c5aeb6ffc2b using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/22eb997f-9eef-44ce-851d-1c5aeb6ffc2b. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.18125441
title: Linked collectors and determiners for: Vanderbilt University Herbarium.

description: Natural history specimen data linked to collectors and determiners held within, "Vanderbilt University Herbarium". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/3111dc38-3143-4792-9802-610f1de4961c using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/3111dc38-3143-4792-9802-610f1de4961c. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.18125444
title: Linked collectors and determiners for: Coleção de Ictiologia do Museu de Zoologia da UEL.

description: Natural history specimen data linked to collectors and determiners held within, "Coleção de Ictiologia do Museu de Zoologia da UEL". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/34520196-b1d6-4e5d-a20d-448e0a872a60 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/34520196-b1d6-4e5d-a20d-448e0a872a60. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.18125445
title: Linked collectors and determiners for: Austin Peay State University Amphibian and Reptile Specimens (Arctos).

description: Natural history specimen data linked to collectors and determiners held within, "Austin Peay State University Amphibian and Reptile Specimens (Arctos)". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/410461b6-368c-4970-8cb5-c043c28c08dd using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/410461b6-368c-4970-8cb5-c043c28c08dd. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.18125447
title: Linked collectors and determiners for: Diagnose of the nominal subgenus of Edessa and description of the E. sexdens group (Heteroptera, Pentatomidae, Edessinae).

description: Natural history specimen data linked to collectors and determiners held within, "Diagnose of the nominal subgenus of Edessa and description of the E. sexdens group (Heteroptera, Pentatomidae, Edessinae)". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/4d650293-3f9a-4bbe-9530-204a3b09ef8b using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/4d650293-3f9a-4bbe-9530-204a3b09ef8b. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.18125446
title: Linked collectors and determiners for: Caracterización del banco de semillas germinable en tres zonas invadidas por retamo y en proceso de restauración ecológica en el Parque Nacional Enrique Olaya Herrera etapa II.

description: Natural history specimen data linked to collectors and determiners held within, "Caracterización del banco de semillas germinable en tres zonas invadidas por retamo y en proceso de restauración ecológica en el Parque Nacional Enrique Olaya Herrera etapa II". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/4c0e4e7f-7093-4b3e-91c7-bc1aa33921f5 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/4c0e4e7f-7093-4b3e-91c7-bc1aa33921f5. Formatted as a Frictionless Data package.
DOI: 10.6084/m9.figshare.28184486.v1
title: Air pollution and breast cancer risk: a Mendelian randomization study

description: Previous research yields inconsistent findings on the association between air pollution and breast cancer risk, with no definitive causal relationship established. To address this, we conducted a two-sample Mendelian randomization study on data from the IEU open GWAS databases and the Breast Cancer Association Consortium to explore the potential link between air pollution (including PM<sub>2.5</sub>, PM<sub>2.5</sub> absorbance, PM<sub>2.5–10</sub>, PM<sub>10</sub>, NO<sub>2</sub>, and NO<sub>x</sub>) and breast cancer risk. We found that PM<sub>10</sub> (odds ratio (OR) = 1.39, 95% CI: 1.07–1.80, <i>p</i> = 0.013) and NO<sub>x</sub> (OR = 1.67, 95% CI: 1.16–2.41, <i>p</i> = 0.006) were significantly associated with elevated breast cancer risk. Furthermore, PM<sub>2.5</sub> (OR = 2.10, 95% CI: 1.09–4.03, <i>p</i> = 0.027) and NO<sub>x</sub> (OR = 3.08, 95% CI: 1.24–7.64, <i>p</i> = 0.015) were significantly associated with an elevated risk of luminal B/HER2-negative-like cancer. Results were stable in sensitivity analyses. This suggested that controlling air pollution could potentially reduce breast cancer risk.
DOI: 10.6084/m9.figshare.28904655
title: Household dust as a reservoir for environmentally persistent free radicals: a longitudinal study

description: Epidemiological links between air pollution and adverse health outcomes are strong, but the mechanism(s) remain obscure. A newly recognised combustion by-product, environmentally persistent free radicals (EPFRs), may be the missing link. The objective of this study is to explore the presence of EPFRs in house dust and ascertain if EPFR concentration is stable across time and season. The ELLF cohort is a longitudinal birth cohort (<i>n</i> = 82) with house dust collected at multiple time points. EPFR characteristics were assessed with electron paramagnetic resonance, and oxygen-weighted concentration was estimated by an algorithm. Seasonal differences were assessed with Kruskal−Wallis rank sum and Fisher’s exact tests. A mixed-effects linear regression was employed for longitudinal analysis. 83 participants returned 238 dust samples, with EPFRs measured in &gt;95% of samples. EPFR concentration and oxygen-weighted concentration were stable across visits (<i>p</i> = 0.05). There was a seasonal trend, with concentration (<i>p</i> = &lt;0.01), oxygen weighted concentration (<i>p</i> = &lt;0.01), and <i>g</i> factor (<i>p</i> = 0.05) all significantly lower in summer months. EPFRs are consistently present in house dust and are stable across time in households. These findings suggest that exposure to EPFRs occurs in the home and may be a significant place for exposure to highly biologically reactive EPFRs. The persistence of environmentally free radicals in house dust suggests that our homes may represent a site of chronic exposure to oxidant components of air pollution.
DOI: 10.6084/m9.figshare.28904655.v1
title: Household dust as a reservoir for environmentally persistent free radicals: a longitudinal study

description: Epidemiological links between air pollution and adverse health outcomes are strong, but the mechanism(s) remain obscure. A newly recognised combustion by-product, environmentally persistent free radicals (EPFRs), may be the missing link. The objective of this study is to explore the presence of EPFRs in house dust and ascertain if EPFR concentration is stable across time and season. The ELLF cohort is a longitudinal birth cohort (<i>n</i> = 82) with house dust collected at multiple time points. EPFR characteristics were assessed with electron paramagnetic resonance, and oxygen-weighted concentration was estimated by an algorithm. Seasonal differences were assessed with Kruskal−Wallis rank sum and Fisher’s exact tests. A mixed-effects linear regression was employed for longitudinal analysis. 83 participants returned 238 dust samples, with EPFRs measured in &gt;95% of samples. EPFR concentration and oxygen-weighted concentration were stable across visits (<i>p</i> = 0.05). There was a seasonal trend, with concentration (<i>p</i> = &lt;0.01), oxygen weighted concentration (<i>p</i> = &lt;0.01), and <i>g</i> factor (<i>p</i> = 0.05) all significantly lower in summer months. EPFRs are consistently present in house dust and are stable across time in households. These findings suggest that exposure to EPFRs occurs in the home and may be a significant place for exposure to highly biologically reactive EPFRs. The persistence of environmentally free radicals in house dust suggests that our homes may represent a site of chronic exposure to oxidant components of air pollution.
DOI: 10.6084/m9.figshare.28184486
title: Air pollution and breast cancer risk: a Mendelian randomization study

description: Previous research yields inconsistent findings on the association between air pollution and breast cancer risk, with no definitive causal relationship established. To address this, we conducted a two-sample Mendelian randomization study on data from the IEU open GWAS databases and the Breast Cancer Association Consortium to explore the potential link between air pollution (including PM<sub>2.5</sub>, PM<sub>2.5</sub> absorbance, PM<sub>2.5–10</sub>, PM<sub>10</sub>, NO<sub>2</sub>, and NO<sub>x</sub>) and breast cancer risk. We found that PM<sub>10</sub> (odds ratio (OR) = 1.39, 95% CI: 1.07–1.80, <i>p</i> = 0.013) and NO<sub>x</sub> (OR = 1.67, 95% CI: 1.16–2.41, <i>p</i> = 0.006) were significantly associated with elevated breast cancer risk. Furthermore, PM<sub>2.5</sub> (OR = 2.10, 95% CI: 1.09–4.03, <i>p</i> = 0.027) and NO<sub>x</sub> (OR = 3.08, 95% CI: 1.24–7.64, <i>p</i> = 0.015) were significantly associated with an elevated risk of luminal B/HER2-negative-like cancer. Results were stable in sensitivity analyses. This suggested that controlling air pollution could potentially reduce breast cancer risk.
DOI: 10.5281/zenodo.18125454
title: Linked collectors and determiners for: Typification and taxonomy of Echinophora scabra (Echinophoreae, Apioideae).

description: Natural history specimen data linked to collectors and determiners held within, "Typification and taxonomy of Echinophora scabra (Echinophoreae, Apioideae)". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/4e6b7a7a-c679-42e7-9494-45075a78f07a using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/4e6b7a7a-c679-42e7-9494-45075a78f07a. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.18125452
title: Linked collectors and determiners for: Ranunculus tengchongensis and R. yanshanensis (Ranunculaceae), both described from Yunnan in China, are merged with R. trigonus.

description: Natural history specimen data linked to collectors and determiners held within, "Ranunculus tengchongensis and R. yanshanensis (Ranunculaceae), both described from Yunnan in China, are merged with R. trigonus". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/4dcc9911-2dc8-4b45-848b-25096e5f808c using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/4dcc9911-2dc8-4b45-848b-25096e5f808c. Formatted as a Frictionless Data package.