cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0154036.10fu
title: SH0154036.10FU

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/sh0154037.10fu
title: SH0154037.10FU

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.17440639
title: Atomic Force Microscope (AFM) data for nickel

description: This dataset contain the AFM data for the prepared nickel , that synthesized via electrochemical deposition for the figure (5) in manuscript [Cold Plasma as a Novel Annealing Technique: A Comparative Study with Thermal Annealing on the Structural and Morphological Properties of Nickel and Iron Oxide]. Were measured using atomic force microscopy (Mountains SPIP® Expert8.2.10392)
DOI: 10.15156/bio/sh0154038.10fu
title: SH0154038.10FU

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.17440638
title: Atomic Force Microscope (AFM) data for nickel

description: This dataset contain the AFM data for the prepared nickel , that synthesized via electrochemical deposition for the figure (5) in manuscript [Cold Plasma as a Novel Annealing Technique: A Comparative Study with Thermal Annealing on the Structural and Morphological Properties of Nickel and Iron Oxide]. Were measured using atomic force microscopy (Mountains SPIP® Expert8.2.10392)
DOI: 10.15156/bio/sh0154039.10fu
title: SH0154039.10FU

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/sh0154040.10fu
title: SH0154040.10FU

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/sh0154041.10fu
title: SH0154041.10FU

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/sh0154042.10fu
title: SH0154042.10FU

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: 10.60905/or1y2f
title: Ultim��tum para aceptar exigencias, anuncian estudiantes de la UdeA

description: &lt;p&gt;Comunicado del Consejo Superior Estudiantil firmado por su presidente Jes��s Mar��a Valle y su secretaria Luz Magnolia Uribe en solidaridad con las exigencias hechas por los estudiantes de veterinaria (no menciona cuales).
description: CONTEXTO DE LA NOTICIA: Semana Santa en Medell��n, tensas relaciones entre Per��-EU y Per��-Venezuela, movimiento de curas rebeldes, bombardeos ordenados por Nixon en Vietnam, Reanudaci��n de Conferencia Mundial de Paz (Naciones Unidas), acuerdos entre el Pe��ol y EPM, homenajes a Gait��n en Bello-Antioquia.
DOI: 10.71819/mrbcmd
title: Coleção de Mantodea do MZUSP

description: Coleção Mantodea do Museu de Zoologia da Universidade de São Paulo
DOI: 10.15468/dl.ynu543
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus dysophylla",
 "Year 1980-2026"
 ]
}

 The dataset includes 15 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012451-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14734657
title: Balochi Language to English Translation Dataset
DOI: 10.15468/dl.fyhpzs
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Angola",
 "GadmGid is AGO.5_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (VU, EN, CR)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 1990-2026"
 ]
}

 The dataset includes 59 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012453-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8dd6q5
title: Occurrence Download

description: A dataset containing 35278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Campanula trachelium, Campanula trachelium, Campanula trachelium, Campanula trachelium)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 35278 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012452-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5r5cve
title: Occurrence Download

description: A dataset containing 26870 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Capsella bursa-pastoris)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 26870 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012455-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18354888
title: Xylazine exacerbates fentanyl-induced respiratory depression and prevents rescue by naloxone in mice

description: Dataset supporting the manuscript "Xylazine Exacerbates Fentanyl-induced Respiratory Depression and Prevents Rescue by Naloxone in Mice".
DOI: 10.5281/zenodo.18354889
title: Xylazine exacerbates fentanyl-induced respiratory depression and prevents rescue by naloxone in mice

description: Dataset supporting the manuscript "Xylazine Exacerbates Fentanyl-induced Respiratory Depression and Prevents Rescue by Naloxone in Mice".
DOI: 10.5281/zenodo.18487013
title: Data and R scripts from: Unexpected changes in reproductive barriers between incipient species after experimental evolution in sympatry

description: Four Tab delimited Text files (raw data) and five R files (scripts for analyses) are provided. See full description in the README file.
DOI: 10.5281/zenodo.18487014
title: Data and R scripts from: Unexpected changes in reproductive barriers between incipient species after experimental evolution in sympatry

description: Four Tab delimited Text files (raw data) and five R files (scripts for analyses) are provided. See full description in the README file.
DOI: 10.6084/m9.figshare.31257561
title: Injury crash risk of battery and hybrid electric passenger cars

description: We examined at-fault injury crashes of four passenger car populations: Hybrid Electric Vehicles (HEVs), Plug-in Hybrid Electric Vehicles (PHEVs), Battery Electric Vehicles (BEVs) and traditional internal combustion engine vehicles (ICEVs). For these populations, crash rates were calculated in relation to both registration years and mileage. Finally, controlled crash rate ratios were calculated to compare the crash risk between electric vehicles (EVs) and ICEVs. Studied car populations were identified and their vehicle information for the period of 2019–2023, including the mileage (76 billion kilometers for all cars during the study period), was drawn from the national Vehicular and Driver Data Register. In addition, cars in the study populations were identified from the motor liability insurance (MLI) database and the crash data for them was retrieved (11,388 motor vehicle occupant injury crashes in total). Crash rates and crash rate ratios were calculated to evaluate the crash risk of EVs. Negative binomial regression was used to model crash involvement rate ratios both per registration year and per mileage for EVs, controlling the age and gender of the vehicle owner and vehicle size. Only battery electric vehicles showed significantly different crash rates than ICEVs per mileage, although the result was weakly significant −15% [−28%; 0%]. There were no significant differences in crash rates per registration years. In addition, there were only a few significant differences in crash circumstances between EVs and ICEVs. On average, the motor vehicle occupant injury crash rate of ICEVs was 151 crashes per billion kilometers and 2.37 crashes per thousand registration years. Our results indicate that, when measured by motor vehicle occupant injury crash rate, passenger cars—regardless of powertrain—have not become safer in Finland compared to the situation ten years ago. However, the current crash rate of BEVs is lower than that of ICEVs. Previous studies suggest that some of the differences in crash rate may be explained by varying usage conditions, which our findings support. Part of the difference may be explained by differences in driver populations, which should be investigated further.
DOI: 10.6084/m9.figshare.31257561.v1
title: Injury crash risk of battery and hybrid electric passenger cars

description: We examined at-fault injury crashes of four passenger car populations: Hybrid Electric Vehicles (HEVs), Plug-in Hybrid Electric Vehicles (PHEVs), Battery Electric Vehicles (BEVs) and traditional internal combustion engine vehicles (ICEVs). For these populations, crash rates were calculated in relation to both registration years and mileage. Finally, controlled crash rate ratios were calculated to compare the crash risk between electric vehicles (EVs) and ICEVs. Studied car populations were identified and their vehicle information for the period of 2019–2023, including the mileage (76 billion kilometers for all cars during the study period), was drawn from the national Vehicular and Driver Data Register. In addition, cars in the study populations were identified from the motor liability insurance (MLI) database and the crash data for them was retrieved (11,388 motor vehicle occupant injury crashes in total). Crash rates and crash rate ratios were calculated to evaluate the crash risk of EVs. Negative binomial regression was used to model crash involvement rate ratios both per registration year and per mileage for EVs, controlling the age and gender of the vehicle owner and vehicle size. Only battery electric vehicles showed significantly different crash rates than ICEVs per mileage, although the result was weakly significant −15% [−28%; 0%]. There were no significant differences in crash rates per registration years. In addition, there were only a few significant differences in crash circumstances between EVs and ICEVs. On average, the motor vehicle occupant injury crash rate of ICEVs was 151 crashes per billion kilometers and 2.37 crashes per thousand registration years. Our results indicate that, when measured by motor vehicle occupant injury crash rate, passenger cars—regardless of powertrain—have not become safer in Finland compared to the situation ten years ago. However, the current crash rate of BEVs is lower than that of ICEVs. Previous studies suggest that some of the differences in crash rate may be explained by varying usage conditions, which our findings support. Part of the difference may be explained by differences in driver populations, which should be investigated further.
DOI: 10.6084/m9.figshare.31257567
title: How Do Leonardite and Elemental Sulfur Alter Nitrogen Immobilization in Vermicompost Enriched with Urea?

description: Bioavailable organic nitrogen is a valuable component of organic fertilizers, as microorganisms and plants can either uptake it directly or convert it into mineral nitrogen forms. Although vermicompost is an excellent source of readily available nutrient for plants, it contains low amounts of nitrogen. Therefore, this study investigated whether urea is capable of improving the organic nitrogen content of vermicompost in the presence of sulfur and leonardite as amendments. The vermicompost was amended with urea (0 and 1% w/w; designated U<sub>0</sub> and U<sub>1</sub>), sulfur (0, 1, and 2% w/w; S<sub>0</sub>, S<sub>1</sub>, S<sub>2</sub>), and leonardite (0, 2, and 4% w/w; L<sub>0</sub>, L<sub>1</sub>, L<sub>2</sub>). The nitrogen assimilation as well as the changes in the properties of the nitrogen-enriched product were monitored at different time points (1<sup>st</sup>, 15<sup>th</sup>, 30<sup>th</sup>, and 60<sup>th</sup> days). The results showed that leonardite (L<sub>1</sub> or L<sub>2</sub>) enhanced total nitrogen in U<sub>0</sub> and U<sub>1</sub> by improving nitrogen retention. In contrast, sulfur increased total nitrogen only in U<sub>0</sub> and had no effect in U<sub>1</sub>. The application of urea resulted in a significant increase in organic nitrogen concentration relative to the U<sub>0</sub> control. The highest concentration of organic nitrogen was recorded in the U<sub>1</sub> treatment on day 30; however, sulfur addition (S<sub>1</sub> or S<sub>2</sub>) significantly reduced it. The heatmap from hierarchical clustering analysis (HCA) showed that all measured parameters and treatments were grouped into four clusters at all time points. Sulfur and urea played a major role in the clustering of treatments.
DOI: 10.6084/m9.figshare.31257567.v1
title: How Do Leonardite and Elemental Sulfur Alter Nitrogen Immobilization in Vermicompost Enriched with Urea?

description: Bioavailable organic nitrogen is a valuable component of organic fertilizers, as microorganisms and plants can either uptake it directly or convert it into mineral nitrogen forms. Although vermicompost is an excellent source of readily available nutrient for plants, it contains low amounts of nitrogen. Therefore, this study investigated whether urea is capable of improving the organic nitrogen content of vermicompost in the presence of sulfur and leonardite as amendments. The vermicompost was amended with urea (0 and 1% w/w; designated U<sub>0</sub> and U<sub>1</sub>), sulfur (0, 1, and 2% w/w; S<sub>0</sub>, S<sub>1</sub>, S<sub>2</sub>), and leonardite (0, 2, and 4% w/w; L<sub>0</sub>, L<sub>1</sub>, L<sub>2</sub>). The nitrogen assimilation as well as the changes in the properties of the nitrogen-enriched product were monitored at different time points (1<sup>st</sup>, 15<sup>th</sup>, 30<sup>th</sup>, and 60<sup>th</sup> days). The results showed that leonardite (L<sub>1</sub> or L<sub>2</sub>) enhanced total nitrogen in U<sub>0</sub> and U<sub>1</sub> by improving nitrogen retention. In contrast, sulfur increased total nitrogen only in U<sub>0</sub> and had no effect in U<sub>1</sub>. The application of urea resulted in a significant increase in organic nitrogen concentration relative to the U<sub>0</sub> control. The highest concentration of organic nitrogen was recorded in the U<sub>1</sub> treatment on day 30; however, sulfur addition (S<sub>1</sub> or S<sub>2</sub>) significantly reduced it. The heatmap from hierarchical clustering analysis (HCA) showed that all measured parameters and treatments were grouped into four clusters at all time points. Sulfur and urea played a major role in the clustering of treatments.
DOI: 10.5066/p13mtgpm
title: Growth and Relative Survival of Aspen Seedling Outplanting Following High Severity Wildfire in the Southwest

description: Aspen stands (Populus tremuloides Michx.) are declining in western U.S. forests due to drought, changing climate, and altered disturbance regimes. Management of aspen has focused on promoting vegetative suckering, which requires viable rootstock. With increasing wildfire frequency and severity in the West, there are opportunities for aspen reforestation post-fire. We tested how deadwood in fire footprints can be used as treatments for nursery-grown seedlings by outplanting 1,140 aspen seedlings in three recently burned areas in experimental treatments: 1) pockets of snags, 2) alongside logs, and 3) in open spaces. We also explored the use of Vexar® tree shelters to reduce mortality due to herbivory. Survival and relative growth were monitored after one growing season.
DOI: 10.15468/dl.u23d6h
title: Occurrence Download

description: A dataset containing 207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cardamine dentata, Cardamine palustris, Cardamine palustris, Cardamine palustris)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 207 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012456-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.