cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1123184.10fu
title: SH1123184.10FU

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/sh1123185.10fu
title: SH1123185.10FU

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/sh1123187.10fu
title: SH1123187.10FU

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/sh1123190.10fu
title: SH1123190.10FU

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/sh1123191.10fu
title: SH1123191.10FU

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/sh1123200.10fu
title: SH1123200.10FU

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/sh1123201.10fu
title: SH1123201.10FU

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.mszfxs
title: Occurrence Download

description: A dataset containing 395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-95.92971 -0.17810,-60.07029 -0.17810,-60.07029 14.17810,-95.92971 14.17810,-95.92971 -0.17810))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aotus griseimembra Elliot, 1912",
 "Year 1975-2025"
 ]
}

 The dataset includes 395 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012879-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7wzfcm
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Vanilla insignis Ames",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029555-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wwyt29
title: Occurrence Download

description: A dataset containing 1776 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heteranthera limosa (Sw.) Willd.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1776 records from 179 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002411-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxuw3p
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corispermum pallasii Steven",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 54 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0161223-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oxivyf
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-134.15771 -10.67871,-75.68848 -10.59082,-77.10205 8.26904,-82.90283 8.79639,-84.66064 13.54248,-101.77734 14.35547,-88.37402 2.19727,-86.79199 -3.60352,-130.56152 -4.21875,-134.15771 -10.67871))",
 "HasCoordinate is true",
 "TaxonKey is Megaptera novaeangliae (Borowski, 1781)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 48 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029555-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.evv4e7
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apium graveolens L.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 35 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0161273-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wdgt92
title: Occurrence Download

description: A dataset containing 17428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heteropogon contortus (L.) P.Beauv. ex Roem. & Schult.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 17428 records from 331 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002417-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rnn4y3
title: Occurrence Download

description: A dataset containing 139344 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orchis purpurea Huds.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 139344 records from 653 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001162-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lodghr
title: Occurrence Download

description: A dataset containing 207 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zoarchias glaber Tanaka, 1908"
 ]
}

 The dataset includes 207 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029556-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zaumm
title: Occurrence Download

description: A dataset containing 491 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cicuta bulbifera L.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 491 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0161279-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7kja7p
title: Occurrence Download

description: A dataset containing 466202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)",
 "Country is Cuba",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-73.92083 19.88168,-74.29451 20.86254,-75.34083 21.55927,-80.04928 23.97106,-83.1135 23.97106,-85.72931 22.18349,-83.18824 20.79269,-76.61137 18.89471,-73.92083 19.88168))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Passeriformes",
 "Year 2010-2024"
 ]
}

 The dataset includes 466202 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002373-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.az4tu9
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gonatodes alexandermendesi Cole & Kok, 2006"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029556-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jjh5xt
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Iresine rhizomatosa Standl.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 108 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0161230-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uaukm6
title: Occurrence Download

description: A dataset containing 43963 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "TaxonKey is Chelydra serpentina (Linnaeus, 1758)"
 ]
}

 The dataset includes 43963 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005290-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yjsvtx
title: Occurrence Download

description: A dataset containing 394 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bassariscus sumichrasti (Saussure, 1860)"
 ]
}

 The dataset includes 394 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029556-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.938fn8
title: Occurrence Download

description: A dataset containing 5565248 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Ecuador"
 ]
}

 The dataset includes 5565248 records from 1409 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0149453-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/umlwgw
title: Replication data for: Freeway Revolts! The Quality of Life Effects of Highways

description: Brinkman, Jeffrey, and Lin, Jeffrey, (2024) “Freeway Revolts! The Quality of Life Effects of Highways.” Review of Economics and Statistics 106:5, 1268–1284.
description: Volume XX, Issue X
DOI: 10.15468/dl.q58r3g
title: Occurrence Download

description: A dataset containing 41250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Specimen)",
 "TaxonKey is Didelphis virginiana Kerr, 1792",
 "Year 1970-2025"
 ]
}

 The dataset includes 41250 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017770-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26030/9fzm-jc44
title: Quantitative proteomic analytic approaches to identify metabolic changes in the medial prefrontal cortex of rats exposed to space radiation

description: NASA's planned mission to Mars will result in astronauts being exposed to ~ 350 mSv/yr of Galactic Cosmic Radiation (GCR). A growing body of data from ground-based experiments indicates that exposure to space radiation doses (approximately those that astronauts will be exposed to on a mission to Mars) impairs a variety of cognitive processes, including cognitive flexibility tasks. Some studies report that 33% of individuals may experience severe cognitive impairment. Translating the results from ground-based rodent studies into tangible risk estimates for astronauts is an enormous challenge, but it would be germane for NASA to use the vast body of data from the rodent studies to start developing appropriate countermeasures, in the expectation that some level of space radiation (SR) -induced cognitive impairment could occur in astronauts. While some targeted studies have reported radiation-induced changes in the neurotransmission properties and/or increased neuroinflammation within space radiation exposed brains, there remains little information that can be used to start the development of a mechanism-based countermeasure strategy. In this study, we have employed a robust label-free mass spectrometry (MS) -based untargeted quantitative proteomic profiling approach to characterize the composition of the medial prefrontal cortex (mPFC) proteome in rats that have been exposed to 15 cGy of 600 MeV/n 28Si ions. A variety of analytical techniques were used to mine the generated expression data, which in such studies is typically hampered by low and variable sample size. We have identified several proteins whose expression alters as a result of space radiation exposure, and a further subset of proteins differs in rats that have a high level of cognitive performance after SR exposure in comparison with those that have low performance levels. While this study has provided further insight into how SR impacts upon neurophysiology, and what adaptive responses can be invoked to prevent the emergence of SR-induced cognitive impairment, the main objective of this paper is to outline strategies that can be used by others to analyze sub-optimal data sets and to identify new information.
DOI: 10.15468/dl.gx885d
title: Occurrence Download

description: A dataset containing 165601 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Sciurus vulgaris Linnaeus, 1758"
 ]
}

 The dataset includes 165601 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017747-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15054282
title: Non-Material Cognitive Systems and Presbyterian Theology: A Theological and Practical Analysis

description: Engaging with Non-Material Cognitive Systems in Presbyterian Theology: Faith, Ethics, and Practical Applications

 

In this thought-provoking paper, we explore the intersection of non-material cognitive systems—such as artificial intelligence, quantum cognition, and algorithmic decision-making—with Presbyterian theology. This study examines how the theological principles of divine sovereignty, the Imago Dei, and human moral responsibility intersect with the rapid advancements in AI and digital intelligence.

 

The paper begins with a foundational discussion of theological and doctrinal perspectives on intelligence, wisdom, and the uniqueness of human cognition in contrast to artificial intelligence. It engages with key Presbyterian confessions, biblical texts, and Reformed theological insights, questioning whether AI could ever reflect God’s image or possess moral agency. The study then delves into ethical concerns, such as AI’s role in decision-making, the dangers of transhumanism, and the risks of idolatry in technological reliance.

 

In its practical applications section, the paper examines how AI can be integrated into church ministry, worship, pastoral care, and governance. It raises essential questions:

• Can AI assist in pastoral counseling without replacing human relationships?

• Should AI-generated sermons be considered spiritually valid?

• How can digital discipleship be enhanced while maintaining biblical fidelity?

 

The study also explores eschatological and speculative theological discussions, considering whether AI plays any role in God’s redemptive plan and how non-material intelligence challenges traditional notions of the soul and afterlife.

 

With a rich interdisciplinary approach, the paper draws from biblical theology, AI ethics, cognitive science, and church governance, offering a balanced, Reformed perspective on how the church should wisely engage with emerging technologies. It concludes with a call to action, urging the Presbyterian Church to thoughtfully engage with AI—neither rejecting nor blindly embracing it—while remaining anchored in Scripture and theological integrity.