cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0181739.10fu
title: SH0181739.10FU

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/sh0181740.10fu
title: SH0181740.10FU

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/sh0181741.10fu
title: SH0181741.10FU

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: 10.17632/dvj38jnwzn.1
title: High-yield Green Bond Data

description: These spreadsheets list tickers and date ranges for high-yield green bonds analyzed in the manuscript titled 'Green Dreams, Risky Assets? A Study of High-Yield Green Bonds.' 

As the raw bond pricing data are sourced from Bloomberg Terminal, we are unable to publicly deposit the original dataset due to licensing restrictions. However, we provide spreadsheets containing tickers and dates to enable researchers with Bloomberg Terminal access to replicate our results.
DOI: 10.15468/dl.rdmaqv
title: Occurrence Download

description: A dataset containing 4208 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Koenigia polystachya (Wall. ex Meisn.) T.M.Schust. & Reveal)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 4208 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008055-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15166406
title: List of samples delivered for Genome Sequencing under the Biodiversity Genomics Europe Project Genome Stream- WP5 Field to Lab Task 5.5

description: This dataset contains the full list of samples delivered to sequencing partners for genome sequencing as part of the Biodiversity Genomics Europe (BGE) project under Work Package 5 (WP5) - Task 5.5 - Critical biodiversity community sampling (led by the University of Oslo, UiO).

 

This dataset includes metadata associated with each sample, including the species’ scientific name, Biosample Accession URL, unique sample identifiers (Taxon_ID), taxonomic classification (Phylum, Order/Group,  Family and Genus). It also provides internal task names as referenced in reports (Task). The country of collection, Country of collection, and the BGE sequencing partner that received the material (Sequencing Center). Additionally, the dataset contains links to publicly available metadata in ENA, ensuring direct access to detailed information about each sample.
DOI: 10.5281/zenodo.15166407
title: List of samples delivered for Genome Sequencing under the Biodiversity Genomics Europe Project Genome Stream- WP5 Field to Lab Task 5.5

description: This dataset contains the full list of samples delivered to sequencing partners for genome sequencing as part of the Biodiversity Genomics Europe (BGE) project under Work Package 5 (WP5) - Task 5.5 - Critical biodiversity community sampling (led by the University of Oslo, UiO).

 

This dataset includes metadata associated with each sample, including the species’ scientific name, Biosample Accession URL, unique sample identifiers (Taxon_ID), taxonomic classification (Phylum, Order/Group,  Family and Genus). It also provides internal task names as referenced in reports (Task). The country of collection, Country of collection, and the BGE sequencing partner that received the material (Sequencing Center). Additionally, the dataset contains links to publicly available metadata in ENA, ensuring direct access to detailed information about each sample.
DOI: 10.34740/kaggle/dsv/11308325
title: World Stock Prices ( Daily Updating )
DOI: 10.17632/f36x42z42n.1
title: Climate Change in South Asia

description: Aim of the Study: This research investigates how the South Asian media covers climate-related issues. Countries in this region are highly vulnerable to climate risks, many are ranked among the top ten most climate-vulnerable nations, the study focuses on three South Asian countries—Pakistan, India, and Bangladesh—by analyzing the climate change coverage in leading English-language newspaper. It explores media coverage patterns, climate framing, and the influence of international reports publication on climate reporting.
Three South Asian countries i.e. Pakistan, India, and Bangladesh were selected in the current study with one leading English newspaper, i.e. Dawn, Time of India, and The Daily Star.
Over a two-year period (April 4, 2021 – April 3, 2023), all news stories and editorials from three leading South Asian English-language newspapers—Dawn (Pakistan), The Times of India (India), and The Daily Star (Bangladesh)—were collected and analyzed, with a total sample size of N = 1238.
In the present study, three South Asian newspapers were selected for content analysis. The sole access to these international newspapers was LexisNexis, which was reached through the US embassy in Islamabad. The selection criteria for the data pool LexisNexis contains all news items and editorials containing the term/ word ―climate change‖ from the three selected South Asian newspapers for a two-year time 2021-2023 (before and after one year of publishing of AR 6 (April 4, 2021 – April 3, 2023) and the keyword was ―Climate Change‖.
Data was analyzed using Statistical Package for Social Sciences (SPSS). With the help of SPSS, collected data was analyzed, explained, and interpreted. Different tests were used including frequencies, percentages, crosstabulation, and Chi-Square.
DOI: 10.15468/dl.yhwaty
title: Occurrence Download

description: A dataset containing 68604 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malus domestica (Suckow) Borkh.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year 1990-2020"
 ]
}

 The dataset includes 68604 records from 563 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154999-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uzjmf9
title: Occurrence Download

description: A dataset containing 176244 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus petraea (Matt.) Liebl.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year 1990-2020"
 ]
}

 The dataset includes 176244 records from 979 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154988-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sfkupi
title: Occurrence Download

description: A dataset containing 650 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Guadua paniculata Munro"
 ]
}

 The dataset includes 650 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005790-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4jur3
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cuscuta macrolepis R.C.Fang & S.H.Huang"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154981-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5t5qdm
title: Occurrence Download

description: A dataset containing 2856 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ectatomma ruidum (Roger, 1860)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2856 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005791-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9nn6ey
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cuscuta lehmanniana Bunge"
 ]
}

 The dataset includes 103 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154968-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zt369w
title: Occurrence Download

description: A dataset containing 174658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ardea herodias",
 "Geometry POLYGON((-92.99 0.20,-92.99 30.10,-43.66 30.10,-43.66 0.20,-92.99 0.20))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 174658 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005791-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1184/r1/26265200
title: In-situ XRD annealing 2theta-omega scans

description: The dataset will serve as supplemental material for a peer-reviewed journal article (Applied Physics Letters) currently under review. The funding agency (NSF) has requested that the data be made available through an open source platform.
The raw data include all in-situ XRD scans perfomred on α-Ga<sub>2</sub>O<sub>3</sub>, κ(ε)-Ga<sub>2</sub>O<sub>3</sub> and γ-Ga<sub>2</sub>O<sub>3 </sub>thin films under three different environments (air, N<sub>2</sub> and vacuum) in the temperature range from 25 ℃ to 900 ℃.
DOI: 10.15468/dl.ekz7t7
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Felis colocolo Molina, 1810"
 ]
}

 The dataset includes 11 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063003-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phhex3
title: Occurrence Download

description: A dataset containing 907867114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-9709.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 907867114 records from 25680 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062990-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.31847.98727
title: 319 Sequenced Cases in the United States of America VOC Omicron GR/484A (B.1.1.529) as of 15DEC2021 States including: FL/LA/GA/MD/WA/MO/CO/PA/CA/UT/NY/NE/HI/MA/MN/WI/CT/IL/IA/TX/OH/TN/AZ/RI/MI/VA/ID/OR/NC/MS/AK/NJ/DC/SC/IN/NV
DOI: 10.15468/dl.ewaf8r
title: Occurrence Download

description: A dataset containing 1632654 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chloris chloris",
 "Year 1981-2010"
 ]
}

 The dataset includes 1632654 records from 1084 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041595-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.27915.82723
title: 421 Sequenced Cases in the United States of America VOC Omicron GR/484A (B.1.1.529) as of 16DEC2021 States including: FL/LA/GA/MD/WA/MO/CO/PA/CA/UT/NY/NE/HI/MA/MN/WI/CT/IL/IA/TX/OH/TN/AZ/RI/MI/VA/ID/OR/NC/MS/AK/NJ/DC/SC/IN/NV
DOI: 10.17632/msxv59kwcx.1
title: Reframing prolonged negative mental health effects of COVID-19: Cognitive restructuring promotes posttraumatic growth

description: The study aimed to investigate the level of peritraumatic distress in relation to possible traumatic outcomes in university personnel and students across three pandemic waves. Three cross-sectional surveys were conducted to investigate university students and staff (n = 1426). An online survey including the COVID-19 Peritraumatic Distress Index (CPDI), Ways of Coping, Impact of Events Scale (IES), and Posttraumatic Growth Inventory (PTGI) were administered across three waves. Psychometric properties of the Hungarian version of CPDI were assessed and associations between peri/posttraumatic stress and coping were explored. Cluster analysis based on posttraumatic stress and growth was used to identify subgroups. An increasing trend of peritraumatic stress over the waves was found. Regression analyses revealed that two coping styles, cognitive restructuring and problem analysis were negatively and positively associated, respectively, with both peritraumatic and posttraumatic stress. Two-step cluster analysis conducted on PTGI and IES scores yielded three clusters of posttraumatic changes: IES-low/PTGI-low, IES-high/PTGI-low and IES moderate/PTGI-high. Multinomial regression showed that cognitive restructuring and peritraumatic stress were significant predictors of cluster membership. Our findings point out that cognitive restructuring may be effective for dealing with longer-term psychological results of traumatic life events, such as the COVID-19 pandemic, even in highly exposed groups of the society

Medical students and staff (n=1426) were recruited for the study. An online survey including the COVID-19 Peritraumatic Distress Index (CPDI), Ways of Coping, Impact of Events Scale (IES), and Posttraumatic Growth Inventory (PTGI) and other questionnaires were administered across three waves of COVID-19. Psychometric properties of the Hungarian version of CPDI were assessed and associations between peri/posttraumatic stress and coping were explored. In addition, cluster analysis based on posttraumatic stress and growth was used to identify subgroups. 

An increasing trend of peritraumatic stress over the waves was found. Regression analyses revealed that two coping styles, cognitive restructuring and problem analysis were negatively and positively associated, respectively, with both peritraumatic and posttraumatic stress. Two-step cluster analysis conducted on PTGI and IES scores yielded three clusters of posttraumatic changes: IES-low/PTGI-low, IES-high/PTGI-low and IES moderate/PTGI-high. Multinomial regression showed that cognitive restructuring and peritraumatic stress were significant predictors of cluster membership. 

Our findings point out that cognitive restructuring may be effective and suitable for dealing with longer-term psychological results of traumatic life events, such as the COVID-19 pandemic, even in highly exposed groups of the society.
DOI: 10.17632/xfckg48dk2.1
title: Soil properties and enzyme activities regulate the changes of soil microbial communities alongside Pandanus amaryllifolius Roxb. intercropping with Areca catechu L. plantation in a tropical islands of China

description: The intercropping pattern promote the sustainable development of efficient agriculture by accelerating soil nutrients activation, ameliorating soil properties, and improving ecosystem productivity, especially cash crops, such as Areca catechu L. (Ac) and Pandanus amaryllifolius Roxb. (Pa) intercropping plantation in tropical island of China. However, the mechanisms underlying intercropping pattern effects on soil microbial community diversity and composition are poorly understood. Therefore, a field experiment with three cultivated patterns of Areca catechu L. monoculture (A), Pandanus amaryllifolius Roxb. monoculture (P), and Areca catechu L. intercropping with Pandanus amaryllifolius Roxb. (I) was established to exploring the regulation mechanism of soil microbial community under intercropping pattern by monitoring the changes of soil physicochemical properties, enzyme activities, microbial (bacterial and fungal) diversity and composition. The results show that the soil nutrient content and enzyme activity are significantly decreased with significant correlations being observed. Soil bacterial rather than fungal communities diversity are more sensitive to intercropping pattern. The significant decrease of soil bacterial diversity by 4.21% in Areca catechu L. monoculture plantation after intercropping with Pandanus amaryllifolius Roxb. may attribute to the reduction of soil organic matter, potassium content and the inhibition of polyphenol oxidase and urease activities. The changes in the relative numbers of specific taxa, especially Gemmatimonadota and Myxococcota are regulated by soil pH, moisture, potassium content and urease activity, although the dominant bacterial Proteobacteria, Acidobacteria, Actinobacteria, Chloroflexi and Firmicutes do not respond to the intercropping pattern. Overall, the decrease of soil nutrient content may be the main reason for the change of soil enzyme activity, bacterial community diversity and composition structure under intercropping pattern. Supplementing nutrients to the soil of intercropping systems is conducive to maintain soil health and ecosystem functional stability in the tropical compound cultivation plantation.
DOI: 10.17632/xfckg48dk2.2
title: The effect of intercropping with Pandanus amaryllifolius Roxb. on rhizospheric microorganism of Areca catechu L.

description: The intercropping pattern promote the sustainable development of efficient agriculture by accelerating soil nutrients activation, ameliorating soil properties, and improving ecosystem productivity, especially cash crops, such as Areca catechu L. (Ac) and Pandanus amaryllifolius Roxb. (Pa) intercropping plantation in tropical island of China. However, the mechanisms underlying intercropping pattern effects on soil microbial community diversity and composition are poorly understood. Therefore, a field experiment with three cultivated patterns of Areca catechu L. monoculture (A), Pandanus amaryllifolius Roxb. monoculture (P), and Areca catechu L. intercropping with Pandanus amaryllifolius Roxb. (I) was established to exploring the regulation mechanism of soil microbial community under intercropping pattern by monitoring the changes of soil physicochemical properties, enzyme activities, microbial (bacterial and fungal) diversity and composition. The results show that the soil nutrient content and enzyme activity are significantly decreased with significant correlations being observed. Soil bacterial rather than fungal communities diversity are more sensitive to intercropping pattern. The significant decrease of soil bacterial diversity by 4.21% in Areca catechu L. monoculture plantation after intercropping with Pandanus amaryllifolius Roxb. may attribute to the reduction of soil organic matter, potassium content and the inhibition of polyphenol oxidase and urease activities. The changes in the relative numbers of specific taxa, especially Gemmatimonadota and Myxococcota are regulated by soil pH, moisture, potassium content and urease activity, although the dominant bacterial Proteobacteria, Acidobacteria, Actinobacteria, Chloroflexi and Firmicutes do not respond to the intercropping pattern. Overall, the decrease of soil nutrient content may be the main reason for the change of soil enzyme activity, bacterial community diversity and composition structure under intercropping pattern. Supplementing nutrients to the soil of intercropping systems is conducive to maintain soil health and ecosystem functional stability in the tropical compound cultivation plantation.
DOI: 10.15468/dl.tgjay7
title: Occurrence Download

description: A dataset containing 1371 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eunicidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1371 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009911-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.