cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31412576.v1
title: <b>Real-World Incidence of Adverse Events Following COVID-19 Vaccination: Systematic Review and Meta-Analysis – Supplementary Materials</b>

description: This repository contains supplementary materials related to the systematic review and meta-analysis titled “Real-World Incidence of Adverse Events Following COVID-19 Vaccination.” The study aimed to estimate and synthesize real-world incidence measures of adverse events following immunization (AEFI) associated with COVID-19 vaccines and to examine how methodological and epidemiological factors influence reported incidence estimates. In accordance with PRISMA 2020 guidelines and prior PROSPERO registration, eight data sources, including grey literature, were systematically searched to identify observational studies reporting AEFI incidence in the general population. A total of 160 studies met the inclusion criteria. Incidence metrics varied by unit of analysis and included events per notification, events per exposed individual, events per 100 administered doses, and cumulative incidence of individuals experiencing at least one AEFI. Random-effects meta-analyses were conducted in R. Pooled estimates differed according to the mathematical structure of the incidence metric. Event-based incidence rates yielded a combined estimate of 0.118 with a 95% confidence interval of 0.066 to 0.211, whereas cumulative incidence proportions produced a pooled estimate of 0.561 with a 95% confidence interval of 0.336 to 0.763. Statistical heterogeneity was substantial, with I² values of 99 percent or higher. Subgroup analyses demonstrated variation across age groups, vaccine platforms, number of doses, data sources, and study designs. Most included studies were rated as having moderate to high risk of bias. The materials provided in this repository are intended to ensure transparency, reproducibility, and methodological traceability of the review process and statistical analyses.
DOI: 10.15468/dl.fzer3h
title: Occurrence Download

description: A dataset containing 10679 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Uzbekistan",
 "TaxonKey is Poaceae"
 ]
}

 The dataset includes 10679 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000483-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29279554
title: Land application of drill waste: A scope analysis

description: Drilling fluid waste land application, a process where drilling wastes are spread and tilled into the land surface, has become common in some petroleum-producing states, however, the potential benefits and risks of this practice are not well studied. Drilling fluids can be water- or oil-based and can have high concentrations of total soluble salts and total petroleum hydrocarbons. Comprehensive chemical characterization of these fluids is not well documented in the literature, and the extent of land application is largely unknown. We hypothesized that the land application of drill waste would fluctuate over time due to economic factors. To begin to understand the extent of historical and potential future land application, we analyzed data from over 5,800 drilling fluid land application permits collected by the Oklahoma Corporation Commission for years 2000, 2005, 2010, and 2015–2020. During the years studied, drilling fluid wastes were applied to more than 250,000 acres in Oklahoma, with over 54,000 thousand barrels (Mbbl) of liquids and nearly 21,000 Mbbl of solids applied. Land application is widespread (occurring in 59/77 counties), however recent drilling activity, land availability, and the economics of transportation have created conditions favorable for land application specifically in the Anadarko Basin. Land application can co-occur with sensitive areas, such as important groundwater and surface-water drinking sources and agricultural fields used for subsistence or feed crop production. Our approach for quantifying the extent of land application, along with further chemical characterization studies, can aid operators and land managers who are considering this practice in assessing the associated benefits and risks. <i>Implications</i>: Land application of drilling fluid wastes, which can contain high concentrations of total soluble salts and total petroleum hydrocarbons, is a common method of disposal; however, the extent, benefits, and risks of this practice are not well studied. This scope analysis conducted in Oklahoma provides a snapshot of land available for and historical application of drilling fluid wastes, along with contextual data such as economic drivers, land use, population density, and water resources; highlighting the importance of drill fluid characterization and fate studies and providing an approach that can be applied to other areas considering this waste re-use practice.
DOI: 10.6084/m9.figshare.29279554.v1
title: Land application of drill waste: A scope analysis

description: Drilling fluid waste land application, a process where drilling wastes are spread and tilled into the land surface, has become common in some petroleum-producing states, however, the potential benefits and risks of this practice are not well studied. Drilling fluids can be water- or oil-based and can have high concentrations of total soluble salts and total petroleum hydrocarbons. Comprehensive chemical characterization of these fluids is not well documented in the literature, and the extent of land application is largely unknown. We hypothesized that the land application of drill waste would fluctuate over time due to economic factors. To begin to understand the extent of historical and potential future land application, we analyzed data from over 5,800 drilling fluid land application permits collected by the Oklahoma Corporation Commission for years 2000, 2005, 2010, and 2015–2020. During the years studied, drilling fluid wastes were applied to more than 250,000 acres in Oklahoma, with over 54,000 thousand barrels (Mbbl) of liquids and nearly 21,000 Mbbl of solids applied. Land application is widespread (occurring in 59/77 counties), however recent drilling activity, land availability, and the economics of transportation have created conditions favorable for land application specifically in the Anadarko Basin. Land application can co-occur with sensitive areas, such as important groundwater and surface-water drinking sources and agricultural fields used for subsistence or feed crop production. Our approach for quantifying the extent of land application, along with further chemical characterization studies, can aid operators and land managers who are considering this practice in assessing the associated benefits and risks. <i>Implications</i>: Land application of drilling fluid wastes, which can contain high concentrations of total soluble salts and total petroleum hydrocarbons, is a common method of disposal; however, the extent, benefits, and risks of this practice are not well studied. This scope analysis conducted in Oklahoma provides a snapshot of land available for and historical application of drilling fluid wastes, along with contextual data such as economic drivers, land use, population density, and water resources; highlighting the importance of drill fluid characterization and fate studies and providing an approach that can be applied to other areas considering this waste re-use practice.
DOI: 10.15468/dl.zyktpj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Monomorium floricola",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085899-250717081556266/datasets/export for details.
DOI: 10.34740/kaggle/dsv/12640568
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.zj2nf6
title: Occurrence Download

description: A dataset containing 178 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ischaemum timorense",
 "Country is Costa Rica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 178 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078116-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25954/gr47-3t30
title: Lipoceramic Technologies: a Solution to Low and Variable Bioavailability of Poorly Soluble Anti-Inflammatory Drugs [IWEMC-285]
DOI: 10.15156/bio/sh1409057.10fu
title: SH1409057.10FU

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/sh1409066.10fu
title: SH1409066.10FU

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/sh1409067.10fu
title: SH1409067.10FU

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/sh1409068.10fu
title: SH1409068.10FU

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: 10.6084/m9.figshare.27804534.v1
title: Bedford New species of goanna lizard allied with Varanus glauerti_Supplementary_Table_S1

description: Taxonomic work in the past three decades on the goanna lizards (Varanidae) from the Australo-Papuan region has led to the description of 33 species. The discovery of many of these taxa resulted from an integrative taxonomic approach combining morphological and molecular datasets. Some of the new taxa were found in the sub-genus <i>Odatria</i> from Australia. Here we describe another species from the sub-genus <i>Odatria</i> that is allied with the Kimberley Rock Goanna, <i>Varanus glauerti</i>. The new species is highly distinct from <i>V. glauerti</i> in nuclear and mitochondrial phylogenetic analyses and can be morphologically diagnosed on dorsal and tail colour patterns. The new species appears to be a short-range endemic restricted primarily to the sandstone Pinkerton Ranges of the north-western Northern Territory. We also describe two sub-species from <i>V. glauerti</i>, with the nominal sub-species from the west Kimberley and the new sub-species from the east Kimberley. The two sub-species can be distinguished in nuclear and mitochondrial phylogenetic analyses and can be morphologically diagnosed on dorsal and tail colour patterns and body size. One of our west Kimberley samples is a hybrid, but the ranges of both sub-species in the central Kimberley need further definition to better understand the degree of gene flow between the two.
DOI: 10.15156/bio/sh1409074.10fu
title: SH1409074.10FU

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: 10.6084/m9.figshare.27804534
title: Bedford New species of goanna lizard allied with Varanus glauerti_Supplementary_Table_S1

description: Taxonomic work in the past three decades on the goanna lizards (Varanidae) from the Australo-Papuan region has led to the description of 33 species. The discovery of many of these taxa resulted from an integrative taxonomic approach combining morphological and molecular datasets. Some of the new taxa were found in the sub-genus <i>Odatria</i> from Australia. Here we describe another species from the sub-genus <i>Odatria</i> that is allied with the Kimberley Rock Goanna, <i>Varanus glauerti</i>. The new species is highly distinct from <i>V. glauerti</i> in nuclear and mitochondrial phylogenetic analyses and can be morphologically diagnosed on dorsal and tail colour patterns. The new species appears to be a short-range endemic restricted primarily to the sandstone Pinkerton Ranges of the north-western Northern Territory. We also describe two sub-species from <i>V. glauerti</i>, with the nominal sub-species from the west Kimberley and the new sub-species from the east Kimberley. The two sub-species can be distinguished in nuclear and mitochondrial phylogenetic analyses and can be morphologically diagnosed on dorsal and tail colour patterns and body size. One of our west Kimberley samples is a hybrid, but the ranges of both sub-species in the central Kimberley need further definition to better understand the degree of gene flow between the two.
DOI: 10.15156/bio/sh1409075.10fu
title: SH1409075.10FU

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/sh1409076.10fu
title: SH1409076.10FU

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/sh1409077.10fu
title: SH1409077.10FU

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/sh1409078.10fu
title: SH1409078.10FU

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: 10.15468/dl.scgkyd
title: Occurrence Download

description: A dataset containing 983099080 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 983099080 records from 18466 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023706-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/yae-wd9-vzh
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rjh-n7a-q1r
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s6c-13g-prk
title: Ditrupa Berkeley, 1835

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/a39-wdr-yt2
title: Nummulitidae Blainville, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f0b-z07-lac
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3rz-304-dlw
title: Sciadopitys Siebold & Zucc.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sk7-6y4-852
title: Nummulitidae Blainville, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k1q-6hb-qy1
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zag-wyd-6bj
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ke8-zef-sjx
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rwr-af7-bsc
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1hg-dz4-fam
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.