cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0185653.10fu
title: SH0185653.10FU

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/sh0185654.10fu
title: SH0185654.10FU

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/sh0185655.10fu
title: SH0185655.10FU

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/sh0185656.10fu
title: SH0185656.10FU

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/sh0185657.10fu
title: SH0185657.10FU

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/sh0185658.10fu
title: SH0185658.10FU

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/sh0185659.10fu
title: SH0185659.10FU

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/sh0185660.10fu
title: SH0185660.10FU

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/sh0185661.10fu
title: SH0185661.10FU

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/sh0185662.10fu
title: SH0185662.10FU

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.xnjx5y
title: Occurrence Download

description: A dataset containing 199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-138.08757 11.06497,-70.91243 11.06497,-70.91243 37.93503,-138.08757 37.93503,-138.08757 11.06497))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lysiloma watsonii Rose"
 ]
}

 The dataset includes 199 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013331-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-05.2816025/2366304
title: Data for EMSL Project 51287 from May 2023
DOI: 10.15468/dl.jg3r3c
title: Occurrence Download

description: A dataset containing 4611 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bothus podas (Delaroche, 1809)"
 ]
}

 The dataset includes 4611 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029480-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qmpgcx
title: Occurrence Download

description: A dataset containing 366 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Norway",
 "Geometry POLYGON((-14.33417 53.27208,-14.33417 78.72792,49.33417 78.72792,49.33417 53.27208,-14.33417 53.27208))",
 "HasCoordinate is true",
 "TaxonKey is Galanthus L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 366 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010313-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-05.2815714/2366305
title: Data for EMSL Project 51287 from May 2023
DOI: 10.25582/data.2023-05.2815715/2366306
title: Data for EMSL Project 51287 from May 2023
DOI: 10.15468/dl.8nfccm
title: Occurrence Download

description: A dataset containing 538958761 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "Year 2021-2024"
 ]
}

 The dataset includes 538958761 records from 8551 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051580-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.huezxs
title: Occurrence Download

description: A dataset containing 19929 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global compendium of Aedes aegypti occurrence"
 ]
}

 The dataset includes 19929 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064775-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.73mxqx
title: Occurrence Download

description: A dataset listing the 1671 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Mammalia"
 ]
}

 The dataset's 1671 records were derived from 817 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069065-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc28w36h
title: CCDC 2111416: Experimental Crystal Structure Determination

description: Related Article: Jian Lin, Chaozhuang Xue, Songlin Zhang, Jiahui Shen, Shengxing Zhou, Chunmei Zhang, Ting Chen, Desui Chen|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28w37j
title: CCDC 2111417: Experimental Crystal Structure Determination

description: Related Article: Jian Lin, Chaozhuang Xue, Songlin Zhang, Jiahui Shen, Shengxing Zhou, Chunmei Zhang, Ting Chen, Desui Chen|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2961wg
title: CCDC 2120985: Experimental Crystal Structure Determination

description: Related Article: Jian Lin, Chaozhuang Xue, Songlin Zhang, Jiahui Shen, Shengxing Zhou, Chunmei Zhang, Ting Chen, Desui Chen|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2961xh
title: CCDC 2120986: Experimental Crystal Structure Determination

description: Related Article: Jian Lin, Chaozhuang Xue, Songlin Zhang, Jiahui Shen, Shengxing Zhou, Chunmei Zhang, Ting Chen, Desui Chen|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.7w9y78
title: Occurrence Download

description: A dataset listing the 1758 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Amphibia"
 ]
}

 The dataset's 1758 records were derived from 675 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069067-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15741392
title: THE ROLE OF KURASH IN THE DEVELOPMENT OF NATIONAL IDENTITY AND CULTURE
DOI: 10.5281/zenodo.15741393
title: THE ROLE OF KURASH IN THE DEVELOPMENT OF NATIONAL IDENTITY AND CULTURE
DOI: 10.5281/zenodo.15741363
title: Quantum Superposition of Topological Phases: A Unified Framework for Particle Geometry

description: This paper establishes a rigorous framework for quantum superpositions of topological phases within the geometric model of elementary particles. We define Hilbert spaces for spherical (S2), toroidal (T 2), and gravitonic (half-torus) configurations, with transition operators governed by Hodge theory. The model predicts measurable Berry phase accumulation during topological transitions and anomalous scattering cross-sections. Experimental verification protocols for quantum processorsand colliders are proposed, unifying particle physics with quantum gravity through topological superposition.
DOI: 10.7910/dvn/mws8qf
title: Replication Data for: In Strongman We Trust: The Political Legacy of the New Village Movement in South Korea

description: This study explores how authoritarian distributive policies may not only generate political support for the autocrat but may also help to sustain powerful and lasting authoritarian legacies. We use micro-level data from South Korea's New Village Movement, a 1970s rural development program implemented under dictator Park Chung-hee and widely touted as contributing to the country's rapid economic development. Our analysis shows that townships receiving larger cash transfers cast more votes for Park's incumbent party in the subsequent election. More importantly, we show that the effects of the subsidies still appeared almost four decades later in 2012, when the dictator's daughter was democratically elected as the president of South Korea. We show that these effects were not driven by villagers' long-term income gains or enhanced social capital due to the program, but instead by the unwavering support of the beneficiary villagers for the dictator, whose legacy remained strong long after democratization.
description: This dataset underwent an independent verification process that replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of code. The verification process was carried out by the Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill. 
<br>
The associated article has been awarded Open Materials and Open Data Badges. Learn more about the Open Practice Badges from the Center for Open Science.<br>
DOI: 10.6084/m9.figshare.27204493
title: Sight-Threatening Pseudotumor Cerebri Due to Acute Promyelocytic Leukaemia Treated with Optic Nerve Sheath Fenestration

description: Acute promyelocytic leukemia (APML) can lead to pseudotumour cerebri (PTC), either due to direct effects of the disease or as a complication of its treatment with the vitamin A derivative all-trans-retinoic acid or arsenic. We report the case of a patient with sight-threatening papilledema secondary to APML-induced PTC who was treated with bilateral optic nerve sheath fenestration.
DOI: 10.6084/m9.figshare.27204493.v1
title: Sight-Threatening Pseudotumor Cerebri Due to Acute Promyelocytic Leukaemia Treated with Optic Nerve Sheath Fenestration

description: Acute promyelocytic leukemia (APML) can lead to pseudotumour cerebri (PTC), either due to direct effects of the disease or as a complication of its treatment with the vitamin A derivative all-trans-retinoic acid or arsenic. We report the case of a patient with sight-threatening papilledema secondary to APML-induced PTC who was treated with bilateral optic nerve sheath fenestration.
DOI: 10.6084/m9.figshare.29039256
title: Comparison of Humphrey versus Compass Perimetry for Hemianopsia

description: Up to 57% of stroke patients experience visual defects. Visual restitution therapy post-stroke remains controversial, with some attributing improvements to adaptive eye scanning movements rather than true field augmentation. We compare Compass fundus-tracking perimetry (CMP), which compensates for eye movements, to the Humphrey Field Analyzer (HFA) for homonymous hemianopsia. Nine patients (mean age: 47) with homonymous hemianopsia on HFA and corresponding neuroimaging defect were prospectively tested on the same day using the HFA (24–2 SITA Fast) and CMP (24–2 ZEST fast). Reliability indices, mean deviation (MD), and visual field index (VFI for HFA; FDPI for Compass) were compared via median differences and the Wilcoxon signed-rank test. The CMP had a significantly lower MD (median difference: −0.33 dB, <i>p</i> = .02), significantly greater false negative rate (median difference: 27%, <i>p</i> = .04), and a significantly longer test duration (median difference: 87 seconds, <i>p</i> = .01) than HFA. However, no between-analyzer difference occurred for visual field index (median difference: 6.8%, <i>p</i> = .65), false positive rate (median difference: −2.8%, <i>p</i> = .18), CMP blind spot index and HFA fixation losses (median difference: 0, <i>p</i> = .79). Bland-Altman plots showed acceptable agreement, with a + 2.42 dB bias in MD favoring CMP. CMP offers real-time compensation for fixation losses but did not show a clinically significant advantage over HFA for homonymous hemianopsia.