cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34965/i11283
title: 3D reconstruction of melt inclusion and bubble volumes: implication for CO2 estimates in Fagradalsfjall melt inclusions, Iceland

description: Carbon dioxide (CO2) is an important volatile component in magmas. Volatiles are usually lost upon eruption as their solubility decreases during magma ascent. Magmatic crystals often trap small drops of magma as melt inclusions (MI), that can preserve the original volatile content of the melt. In MIs, CO2 can be sequestered into bubbles, along with being dissolved into the melt. The reconstruction of the total CO2 contents in MIs therefore relies on the estimate of MI and bubble volumes, which we want to achieve by using X-ray microtomography. We target MIs from the 2021, 2022 and 2023 Fagradalsfjall eruptions in Iceland, with the main goals of (1) quantifying CO2 concentration in MIs with a synchrotron-based approach and compare those estimates with calculations obtained with other methods (2) unravel the heterogeneity and degassing history of Fagradalsfjall&#8217;s magma.
DOI: 10.34965/i32464
title: 20235131_Fondriest
DOI: 10.34965/i32549
title: 20235479_Lemmers
DOI: 10.34965/i7674
title: 20194064
DOI: 10.34965/i7759
title: 20194044
DOI: 10.34965/i8013
title: 20194063
DOI: 10.34965/i8265
title: 20199078
DOI: 10.34965/i9288
title: 20199044
DOI: 10.34965/i9367
title: 20199076
DOI: 10.34965/i9511
title: 20209086
DOI: 10.34965/i9570
title: 20194082
DOI: 10.34965/i9740
title: 20209120
DOI: 10.34965/i9773
title: 20209134
DOI: 10.15468/dl.qtbb8v
title: Occurrence Download

description: A dataset containing 2174 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Poblaciones naturales de la piangüa dentro de una perspectiva espacio-temporal en el departamento de Nariño, costa Pacífica colombiana"
 ]
}

 The dataset includes 2174 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058799-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jg5tb4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.811924 -33.572981, 148.811924 -33.577473, 148.81417 -33.577473, 148.81417 -33.579719, 148.818662 -33.579719, 148.818662 -33.572981, 148.811924 -33.572981))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058800-240626123714530/datasets/export for details.
DOI: 10.15468/dl.39dg7m
title: Occurrence Download

description: A dataset containing 532987 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Falco subbuteo Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 532987 records from 1833 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058787-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z2rxip
title: Occurrence Download

description: A dataset containing 877 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Euonymus japonicus Thunb.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 877 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007938-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9rzvqb
title: Occurrence Download

description: A dataset containing 33733 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Hippodamia variegata (Goeze, 1777)"
 ]
}

 The dataset includes 33733 records from 489 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003537-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hkx8rx
title: Occurrence Download

description: A dataset containing 906 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syringa reticulata subsp. amurensis (Rupr.) P.S.Green & M.C.Chang",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 906 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036740-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ubbdre
title: Occurrence Download

description: A dataset containing 183925 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United Kingdom of Great Britain and Northern Ireland, Ireland, Finland, Sweden, Spain, France, Germany, Netherlands, Belgium, Luxembourg)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Callophrys rubi (Linnaeus, 1758)"
 ]
}

 The dataset includes 183925 records from 1182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003560-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0178297.10fu
title: SH0178297.10FU

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: 10.15139/s3/m54xm2
title: Data Management and Sharing Plan for: Why are AI-designed proteins so stable?

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.15156/bio/sh0178298.10fu
title: SH0178298.10FU

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/sh0178299.10fu
title: SH0178299.10FU

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/sh0178300.10fu
title: SH0178300.10FU

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/sh0178301.10fu
title: SH0178301.10FU

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: 10.5281/zenodo.18200274
title: Les politiques publiques de la santé digitale au Maroc : Etat des lieux et perspectives

description: Afin de profiter des avantages qu’offre le numérique, le Maroc a entamé plusieurs politiques et stratégies de numérisation de son tissu économique. Dans ce cadre, la politique publique de la santé digitale a pour but de numériser les prestations et les procédures administratives qui s’opèrent dans le cadre de la santé. La télémédecine est l’une des formes les plus connues de la santé digitale dans le secteur de la santé. L’objectif de ce travail est de décrire les différentes politiques publiques de la santé digitale entamées par le Maroc. Pour décrire l’état des lieux, nous avons mené une étude descriptive qui a exploité ce qui existe sur la santé digitale au Maroc, ainsi que les rapports officiels notamment ceux du ministère de la santé et de la protection sociale. La synthèse a montré que la politique de la digitalisation du secteur de la santé au Maroc connaît une tendance à la hausse occasionnée notamment par la conjoncture sanitaire. Elle concerne spécialement la télémédecine, la gestion des rendez-vous et les plaintes. En revanche, plusieurs facteurs, notamment la culture de la digitalisation et le taux d’alphabétisation, ralentissent cette hausse. L’action sur ces déterminants améliorera le processus de la santé digitale au Maroc.
DOI: 10.5281/zenodo.18200273
title: Les politiques publiques de la santé digitale au Maroc : Etat des lieux et perspectives

description: Afin de profiter des avantages qu’offre le numérique, le Maroc a entamé plusieurs politiques et stratégies de numérisation de son tissu économique. Dans ce cadre, la politique publique de la santé digitale a pour but de numériser les prestations et les procédures administratives qui s’opèrent dans le cadre de la santé. La télémédecine est l’une des formes les plus connues de la santé digitale dans le secteur de la santé. L’objectif de ce travail est de décrire les différentes politiques publiques de la santé digitale entamées par le Maroc. Pour décrire l’état des lieux, nous avons mené une étude descriptive qui a exploité ce qui existe sur la santé digitale au Maroc, ainsi que les rapports officiels notamment ceux du ministère de la santé et de la protection sociale. La synthèse a montré que la politique de la digitalisation du secteur de la santé au Maroc connaît une tendance à la hausse occasionnée notamment par la conjoncture sanitaire. Elle concerne spécialement la télémédecine, la gestion des rendez-vous et les plaintes. En revanche, plusieurs facteurs, notamment la culture de la digitalisation et le taux d’alphabétisation, ralentissent cette hausse. L’action sur ces déterminants améliorera le processus de la santé digitale au Maroc.
DOI: 10.15156/bio/sh0178302.10fu
title: SH0178302.10FU

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/sh0178303.10fu
title: SH0178303.10FU

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/sh0178304.10fu
title: SH0178304.10FU

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/sh0178305.10fu
title: SH0178305.10FU

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: 10.6084/m9.figshare.30541064
title: Dataset for AI-based persuasion and reactance

description: Dataset for AI-based persuasion and reactance. A 2 (visual anthropomorphism: high vs. low) * 2 (communication style: aggressive vs. polite) between-subject experiments were conducted in the context of flu vaccination.
DOI: 10.6084/m9.figshare.30541064.v2
title: Dataset for AI-based persuasion and reactance

description: Dataset for AI-based persuasion and reactance. A 2 (visual anthropomorphism: high vs. low) * 2 (communication style: aggressive vs. polite) between-subject experiments were conducted in the context of flu vaccination.
DOI: 10.15156/bio/sh0178306.10fu
title: SH0178306.10FU

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: 10.6084/m9.figshare.30541064.v1
title: Dataset for AI-based persuasion and reactance

description: Dataset for AI-based persuasion and reactance. Two conceptually replicated 2 (visual anthropomorphism: high vs. low) * 2 (communication style: aggressive vs. polite) between-subject experiments were conducted in different contexts (i.e., flu vaccination and cancer screening).
DOI: 10.58033/kbjw-qc26
title: Pregnancy affects nevirapine pharmacokinetics (dataset)
DOI: 10.25345/c5nc5sr0g
title: MassIVE MSV000097034 - GNPS-Dataset-Suomilide-Nostoc sp.
title: The probes were extracted from liquid or plate cultures of the corresponding cyanobacterium
DOI: 10.17632/f3rgg76gcd
title: Web of Science - Engineering, Computing & Technology Journals Dataset

description: This dataset contains information about journals in the field of Engineering, Computing & Technology available on the web of science. Currently, there are 1656 journals in this field.

The property are as follows:
- Paper
- Publisher
- ISSN / eISSN	
- Web of Science Core Collection	
- Additional Web of Science Indexes	
- Aims and Scope	
- Indexing and Abstracting
DOI: 10.5281/zenodo.14224553
title: Infants' spontaneous movements systematically explore arm dynamics dataset

description: Infants’ spontaneous movements systematically explore arm dynamics dataset comprising:



segments: movements segmented by motion units



simulated: simulated segments

Real: segments from MINI-RGBD dataset



metrics: folder containing the data used in results section



metrics.csv: data table with exploration measure by movements

*_search_space.npy: kinematic space distributions.



joint_trajectories: folder containing the computed joint trajectories
DOI: 10.5281/zenodo.14224554
title: Infants' spontaneous movements systematically explore arm dynamics dataset

description: Infants’ spontaneous movements systematically explore arm dynamics dataset comprising:



segments: movements segmented by motion units



simulated: simulated segments

Real: segments from MINI-RGBD dataset



metrics: folder containing the data used in results section



metrics.csv: data table with exploration measure by movements

*_search_space.npy: kinematic space distributions.



joint_trajectories: folder containing the computed joint trajectories