cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0179595.10fu
title: SH0179595.10FU

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/sh0179596.10fu
title: SH0179596.10FU

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/sh0179597.10fu
title: SH0179597.10FU

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/sh0179598.10fu
title: SH0179598.10FU

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/sh0179599.10fu
title: SH0179599.10FU

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/sh0179600.10fu
title: SH0179600.10FU

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/sh0179601.10fu
title: SH0179601.10FU

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/sh0179602.10fu
title: SH0179602.10FU

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/sh0179603.10fu
title: SH0179603.10FU

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: 10.17026/ar/6hax28
title: PAN-00106252 - coin/coin-related, Constantinus I en zonen (306-361), nummus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00106252&lt;/p&gt;
description: Modified: 2025-06-02T08:04:16+02:00
DOI: 10.15468/dl.73mdcy
title: Occurrence Download

description: A dataset containing 165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-77.54391 3.65992,-76.78317 3.65992,-76.78317 4.18935,-77.54391 4.18935,-77.54391 3.65992))",
 "TaxonKey is Brosimum"
 ]
}

 The dataset includes 165 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016605-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/aposbc
title: PAN-00142404 - ceramic ballista ball (Roman)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00142404&lt;/p&gt;
description: Modified: 2025-06-10T17:24:12+02:00
DOI: 10.17026/ar/eseesy
title: PAN-00106079 - coin/coin-related, Spanje (Galba ?), denarius

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00106079&lt;/p&gt;
description: Modified: 2025-07-07T08:26:01+02:00
DOI: 10.15468/dl.h6cpfg
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Adiantum aleuticum",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 25 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016606-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7596mt
title: Occurrence Download

description: A dataset containing 53726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Field Museum of Natural History (Botany) Fungi Collection",
 "MediaType is Image"
 ]
}

 The dataset includes 53726 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016580-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zh7muw
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Adiantum aleuticum",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016607-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/l47w32
title: PAN-00056670 - finger ring with equal decoration elements all around

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00056670&lt;/p&gt;
description: Modified: 2025-04-30T15:47:36+02:00
DOI: 10.34847/nkl.7895zguv
title: unine15z37m

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.aefb57ei
title: unine15z35m

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.b90aan11
title: unine15z33m

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.c6bbue8l
title: unine15z31d

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.ca0a7moz
title: unine15z38d

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.de2fl1lp
title: unine15z32m

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.df297ut2
title: unine15z36d

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.2f4eyk48
title: unine15z44m

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.6adah8xo
title: unine15z42m

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.d91a85d4
title: unine15z41m

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.e0c00v53
title: unine15z43d

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.e4efy45u
title: unine15z39m

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.e69c7rkc
title: unine15z34d

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.fe99z2e5
title: unine15z40d

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.6084/m9.figshare.29266823
title: Costing Methods in Healthcare: Evidence, Drivers of Choice, and Policy Implications

description: This dataset supports the study <i>“Costing Methods in Healthcare: Evidence, Drivers of Choice, and Policy Implications.”</i> It contains all data collected and analyzed during the systematic literature review.The dataset includes:Search results from PubMed/MEDLINE, Scopus, OvidSP/Embase, and Web of Science for the period 2020–2025.Extracted data from 74 studies that met the inclusion criteria after PRISMA screening.Study details such as: title, authors, costing method, publication venue, year, automation (yes/no), country, equity or minority focus, area of focus, pathology focus, affiliation, citation count (Google Scholar), industry participation, and number of pages.The review found that costing methods in healthcare remain diverse. Bottom-up approaches were most common, with Time-Driven Activity-Based Costing (TDABC) used most often, followed by Activity-Based Costing (ABC). About 30% of studies used hybrid methods that combined bottom-up and top-down approaches, especially in public health and policy budgeting. No single method dominated. Instead, the choice of method depended on context, available data, and policy needs.This dataset is shared to improve transparency and support reproducibility.
DOI: 10.6084/m9.figshare.29266823.v4
title: Costing Methods in Healthcare: Evidence, Drivers of Choice, and Policy Implications

description: This dataset supports the study <i>“Costing Methods in Healthcare: Evidence, Drivers of Choice, and Policy Implications.”</i> It contains all data collected and analyzed during the systematic literature review.The dataset includes:Search results from PubMed/MEDLINE, Scopus, OvidSP/Embase, and Web of Science for the period 2020–2025.Extracted data from 74 studies that met the inclusion criteria after PRISMA screening.Study details such as: title, authors, costing method, publication venue, year, automation (yes/no), country, equity or minority focus, area of focus, pathology focus, affiliation, citation count (Google Scholar), industry participation, and number of pages.The review found that costing methods in healthcare remain diverse. Bottom-up approaches were most common, with Time-Driven Activity-Based Costing (TDABC) used most often, followed by Activity-Based Costing (ABC). About 30% of studies used hybrid methods that combined bottom-up and top-down approaches, especially in public health and policy budgeting. No single method dominated. Instead, the choice of method depended on context, available data, and policy needs.This dataset is shared to improve transparency and support reproducibility.
DOI: 10.6084/m9.figshare.29266823.v3
title: Costing Methods in Healthcare: Evidence, Drivers of Choice, and Policy Implications

description: This dataset supports the study <i>“Costing Methods in Healthcare: Evidence, Drivers of Choice, and Policy Implications.”</i> It contains all data collected and analyzed during the systematic literature review.The dataset includes:Search results from PubMed/MEDLINE, Scopus, OvidSP/Embase, and Web of Science for the period 2020–2025.Extracted data from 74 studies that met the inclusion criteria after PRISMA screening.Study details such as: title, authors, costing method, publication venue, year, automation (yes/no), country, equity or minority focus, area of focus, pathology focus, affiliation, citation count (Google Scholar), industry participation, and number of pages.The review found that costing methods in healthcare remain diverse. Bottom-up approaches were most common, with Time-Driven Activity-Based Costing (TDABC) used most often, followed by Activity-Based Costing (ABC). About 30% of studies used hybrid methods that combined bottom-up and top-down approaches, especially in public health and policy budgeting. No single method dominated. Instead, the choice of method depended on context, available data, and policy needs.This dataset is shared to improve transparency and support reproducibility.
DOI: 10.17026/ar/7xocbi
title: PAN-00105011 - coin/coin-related, Valens (364- 378), aes III

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00105011&lt;/p&gt;
description: Modified: 2025-05-12T08:08:45+02:00
DOI: 10.15468/dl.p54x2e
title: Occurrence Download

description: A dataset containing 7989 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gallotia galloti)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 7989 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016609-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17203551
title: Beyond hospital reach: Autonomous lightweight ultrasound robot for liver sonography

description: Data of the manuscript "Beyond hospital reach: Autonomous lightweight ultrasound robot for liver sonography"
DOI: 10.5281/zenodo.17203552
title: Beyond hospital reach: Autonomous lightweight ultrasound robot for liver sonography

description: Data of the manuscript "Beyond hospital reach: Autonomous lightweight ultrasound robot for liver sonography"
DOI: 10.15468/dl.w8em9e
title: Occurrence Download

description: A dataset containing 8726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zhangixalus taipeianus",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8726 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016608-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/9ehoyk
title: 2023 Social Accounting Matrix for Vietnam

description: The 2023 Vietnam Social Accounting Matrix (SAM) follows IFPRI's Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI's website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.
description: Social Accounting Matrix (SAM)
DOI: 10.15468/dl.ajw7jn
title: Occurrence Download

description: A dataset containing 7989 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gallotia galloti)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 7989 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016610-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zr3yhe
title: Occurrence Download

description: A dataset containing 762886 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Juniperus communis"
 ]
}

 The dataset includes 762886 records from 1989 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016510-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.