cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.vds8e3
title: Occurrence Download

description: A dataset containing 3752 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Anaxyrus microscaphus (Cope, 1867))"
 ]
}

 The dataset includes 3752 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000550-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2d7jw8
title: Occurrence Download

description: A dataset containing 1126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((75.49385 -29.13121,180.83855 -29.13121,180.83855 34.01803,75.49385 34.01803,75.49385 -29.13121))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dacrycarpus imbricatus (Blume) de Laub."
 ]
}

 The dataset includes 1126 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000549-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6jkx65
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "DatasetKey is one of (LACM Vertebrate Collection, NatureServe Network Species Occurrence Data, MVZ Mammal Collection (Arctos), Mammals Specimens, Angelo State Natural History Collections (ASNHC) Mammal specimens (Arctos))",
 "TaxonKey is Eumops perotis (Schinz, 1821)",
 "Year 1980-2025"
 ]
}

 The dataset's 2 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000551-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mp6sp9xj57.1
title: LINF_080005300

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/rykv67bc7c.1
title: LINF_030007000

description: mitoribosomal protein mS59; Leishmania infantum
DOI: 10.17632/rykv67bc7c.2
title: LINF_030007000

description: mitoribosomal protein mS59; Leishmania infantum (strain JPCM5)
DOI: 10.17632/8s5jff8z2j.1
title: LINF_030006700

description: U2 splicing auxiliary factor; Leishmania infantum
DOI: 10.17632/8s5jff8z2j.2
title: LINF_030006700

description: U2 splicing auxiliary factor; Leishmania infantum (strain JPCM5)
DOI: 10.17632/hcjsnvwhdy.1
title: LINF_030006300

description: mitoribosomal protein mL53; Leishmania infantum
DOI: 10.17632/hcjsnvwhdy.2
title: LINF_030006300

description: Mitoribosomal protein mL53; Leishmania infantum (strain JPCM5)
DOI: 10.17632/ndxp6hyb4f.1
title: Teledermatology’s Impact on Concordance in Bagamoyo, Tanzania: A Retrospective Study

description: The data provides an analysis of diagnostic and treatment concordance between Tanzanian primary care clinicians and U.S.-based dermatologists. Diagnostic concordance is categorized as concordant (full agreement), partially concordant (agreement within at least one diagnostic category), or discordant (no agreement or inability to provide a differential diagnosis). Similarly, treatment concordance is classified as concordant (full agreement), partially concordant (some modifications but general agreement), or discordant (no agreement or inability to provide a treatment plan). Subcategory analyses show variations in concordance levels across different disease categories, including bacterial infections, eczema, fungal infections, and autoimmune diseases. The findings highlight areas of alignment and divergence in clinical decision-making between primary care clinicians and dermatology specialists.
DOI: 10.5281/zenodo.14907243
title: [IO Islamic 638] نسائم غوثيّه

description: Nasâ’im-i-ghauthiyyah

This manuscript is now IO Islamic 1801 in the India Office collections.

[metadata: Hermann Ethé, Catalogue of Persian Manuscripts in the Library of the India Office, 2 vols. (Oxford: India Office, 1903): volume 1, number 638 here with notations and hyperlinks].


1801

Nasâ’im-i-ghauthiyyah (نسائم غوثيّه).

Another, but shorter, biography of Shaikh ‘Abd-alḳâdir Jîlânî, likewise by an anonymous author. No date of composition appears. The book is divided into eleven نسيم , and gives a description of the life and wonderful deeds of the great Shaikh. Beginning:

يا مالك الملوك لنا انت مقصد – يا ذوالجلال ملكك ملك مؤيّد الخ

Copied by ‘Abd-almuḥyî (!)-aldîn ibn Âḳâ Ghiyâth-aldîn. No date

No. 638, ff. 95, ll. 17 ; Naskhî ; size, 9¼ in. by 5¼ in.
DOI: 10.5281/zenodo.14907244
title: [IO Islamic 638] نسائم غوثيّه

description: Nasâ’im-i-ghauthiyyah

This manuscript is now IO Islamic 1801 in the India Office collections.

[metadata: Hermann Ethé, Catalogue of Persian Manuscripts in the Library of the India Office, 2 vols. (Oxford: India Office, 1903): volume 1, number 638 here with notations and hyperlinks].


1801

Nasâ’im-i-ghauthiyyah (نسائم غوثيّه).

Another, but shorter, biography of Shaikh ‘Abd-alḳâdir Jîlânî, likewise by an anonymous author. No date of composition appears. The book is divided into eleven نسيم , and gives a description of the life and wonderful deeds of the great Shaikh. Beginning:

يا مالك الملوك لنا انت مقصد – يا ذوالجلال ملكك ملك مؤيّد الخ

Copied by ‘Abd-almuḥyî (!)-aldîn ibn Âḳâ Ghiyâth-aldîn. No date

No. 638, ff. 95, ll. 17 ; Naskhî ; size, 9¼ in. by 5¼ in.
DOI: 10.5281/zenodo.14907149
title: Appendix A1: Codebook for GCC AI Strategy Document Analysis

description: This codebook provides a structured framework for analyzing how capacity-building is addressed in the National AI Strategies (NASs) of the six GCC countries. It integrates qualitative coding—to categorize references to training, skill development, and organizational capacity—with a TF–IDF analysis that quantifies the emphasis placed on specific AI capabilities (e.g., “Deep Learning,” “Robotics,” “NLP”). By mapping nine thematic categories (such as Infrastructure & ICT, Data Governance & Privacy, and Organizational Capacity) to corresponding survey items, the codebook ensures that policy-level insights align with empirical measures of AI readiness. In practice, researchers flag passages in each NAS that pertain to capacity building, then apply TF–IDF to highlight capabilities that, although mentioned fewer times overall, receive a disproportionately strong focus. Finally, the codebook outlines usage guidelines (how to scope and code relevant passages) and limitations (zero IDF values for universally mentioned terms, possible translation nuances), aiming to standardize document analysis procedures and support reproducible research across AI policy contexts.
DOI: 10.5281/zenodo.14907150
title: Appendix A1: Codebook for GCC AI Strategy Document Analysis

description: This codebook provides a structured framework for analyzing how capacity-building is addressed in the National AI Strategies (NASs) of the six GCC countries. It integrates qualitative coding—to categorize references to training, skill development, and organizational capacity—with a TF–IDF analysis that quantifies the emphasis placed on specific AI capabilities (e.g., “Deep Learning,” “Robotics,” “NLP”). By mapping nine thematic categories (such as Infrastructure & ICT, Data Governance & Privacy, and Organizational Capacity) to corresponding survey items, the codebook ensures that policy-level insights align with empirical measures of AI readiness. In practice, researchers flag passages in each NAS that pertain to capacity building, then apply TF–IDF to highlight capabilities that, although mentioned fewer times overall, receive a disproportionately strong focus. Finally, the codebook outlines usage guidelines (how to scope and code relevant passages) and limitations (zero IDF values for universally mentioned terms, possible translation nuances), aiming to standardize document analysis procedures and support reproducible research across AI policy contexts.
DOI: 10.5281/zenodo.14907229
title: AMPERE Summary Plot Movies (2020-May)

description: 2020-May AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.5281/zenodo.14907230
title: AMPERE Summary Plot Movies (2020-May)

description: 2020-May AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.15468/dl.qp5799
title: Occurrence Download

description: A dataset containing 2915 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crepis albida Vill.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 5000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 2915 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000553-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kqprj3
title: Occurrence Download

description: A dataset containing 424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Anteos Hübner, 1819"
 ]
}

 The dataset includes 424 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000554-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14903508
title: Data from "Asymmetric nature of MscL opening revealed by molecular dynamics simulations"

description: Inputs, topologies and scripts used in https://doi.org/10.1101/2025.02.10.637407
DOI: 10.5281/zenodo.14903509
title: Data from "Asymmetric nature of MscL opening revealed by molecular dynamics simulations"

description: Inputs, topologies and scripts used in https://doi.org/10.1101/2025.02.10.637407
DOI: 10.15468/dl.4xzucu
title: Occurrence Download

description: A dataset containing 225828868 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Living Specimen, Fossil, Specimen, Material sample, Material citation)",
 {
 "or" : [
 "IdentifiedBy is not null",
 "RecordedBy is not null"
 ]
 },
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "VerbatimScientificName" : [
 "is not null"
 ]
 }
 },
 {
 "not" : {
 "or" : [
 "VerbatimScientificName ~*BOLD:*",
 "VerbatimScientificName ~*BOLD-*",
 "VerbatimScientificName ~*BIOUG*"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 225828868 records from 21180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000518-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c7evw5
title: Occurrence Download

description: A dataset containing 4818 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Adelges tsugae Annand, 1924",
 "HasCoordinate is true",
 "Year is greater than or equal to 2015"
 ]
}

 The dataset includes 4818 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017861-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0211762.10fu
title: SH0211762.10FU

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/sh0211763.10fu
title: SH0211763.10FU

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/sh0211764.10fu
title: SH0211764.10FU

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/sh0211765.10fu
title: SH0211765.10FU

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/sh0211766.10fu
title: SH0211766.10FU

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/sh0211767.10fu
title: SH0211767.10FU

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/sh0211768.10fu
title: SH0211768.10FU

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/sh0211769.10fu
title: SH0211769.10FU

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/sh0211770.10fu
title: SH0211770.10FU

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/sh0211771.10fu
title: SH0211771.10FU

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.