cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.nfd6h5
title: Occurrence Download

description: A dataset containing 222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Daphne sericea Vahl, Daphne buxifolia Ledeb., Daphne alpina Savi, Daphne australis Cirillo, Daphne vahlii Keissl., Daphne collina Dicks. ex Sm., Daphne blagayana Meisn., Daphne collina J.E.Sm. ex Dicks., Daphne oleifolia Lam., Daphne aurea Poir.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 222 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028051-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14355067
title: Unique Property Reference Number (UPRN) indicator: Bluespace distances [Accessibility] (UPRN_4_1)

description: This indicator provides the road network distance to any blue space for UPRNs in Cheshire and Merseyside.
DOI: 10.5281/zenodo.14355068
title: Unique Property Reference Number (UPRN) indicator: Bluespace distances [Accessibility] (UPRN_4_1)

description: This indicator provides the road network distance to any blue space for UPRNs in Cheshire and Merseyside.
DOI: 10.25504/fairsharing.c027ec
title: FAIRsharing record for: CCDI Childhood Cancer Data Catalog
title: CCDC

description: This FAIRsharing record describes:  The Childhood Cancer Data Initiative (CCDI’s) CCDC is an inventory of pediatric oncology data resources. This includes childhood cancer repositories, registries, knowledgebases, and catalogs that either manage or refer to data. The contact details can be used to connect with resource owners to learn more about how to gain access to the data. The data catalog does not provide access to a resource’s data.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.6084/m9.figshare.26936533
title: Revising noun predictions based on English measure phrases: evidence from visual-world eye-tracking

description: Can comprehenders use unexpected incoming information to revise their existing predictions on the fly? A recent study in Mandarin Chinese found that, upon hearing a prediction-inconsistent nominal classifier, listeners were able to rapidly revise their predictions and redirect their eye gaze towards a previously unexpected object. In the present study, we extended this finding to English using measure phrases (e.g. “a pile of”). Unlike Mandarin classifiers, measure phrases are not obligatory for nouns in English, which allows us to test whether comprehenders can quickly revise their predictions even when the relevant cue is not routinely present in the language. We found that, upon encountering a measure phrase that contradicts their initial prediction, listeners quickly redirected their eye gaze from the originally expected object to an unexpected object that was compatible with the new information. We propose that comprehenders can rapidly revise predictions in response to unexpected bottom-up input across languages.
DOI: 10.25504/fairsharing.40d9e9
title: FAIRsharing record for: AccessClinicalData@NIAID
title: null

description: This FAIRsharing record describes:  AccessClinicalData@NIAID is a NIAID cloud-based, controlled access, secure data platform that enables sharing of and access to reports and data sets from NIAID COVID-19 and other sponsored clinical trials for the basic and clinical research community.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.15b548
title: FAIRsharing record for: Allele Frequency Aggregator
title: ALFA

description: This FAIRsharing record describes:  The NCBI Allele Frequency Aggregator (ALFA) seeks to make allele frequency datasets from dbGaP studies the largest and most complete aggregated variant datasets available as open-access. Over two million individuals, up to billions of variations, thousands of phenotypes, and molecular test datasets make up the database dbGaP. Huge opportunities exist to investigate and research genetic differences within human populations and to find genetic factors that affect health and diseases in order to enhance diagnosis, treatment, and prevention.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.15468/dl.k5stvz
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Daucus guttatus Sm.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 91 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028052-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.310405
title: FAIRsharing record for: BioData Catalyst
title: null

description: This FAIRsharing record describes:  NHLBI BioData Catalyst is a cloud-based platform providing tools, applications, and workflows in secure workspaces for heart, lung, blood, and sleep disorder research. BioData Catalyst allows researchers to find, access, share, store, and compute on large scale datasets.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.0f6668
title: FAIRsharing record for: Childhood Cancer Clinical Data Commons
title: C3DC

description: This FAIRsharing record describes:  C3DC is an open-access web application where users can access harmonized demographic and clinical data, create custom cohorts, and download data for local analysis.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.b83c1e
title: FAIRsharing record for: AgingResearchBiobank
title: null

description: This FAIRsharing record describes:  The AgingResearchBiobank was officially announced in January 2019 with a mission to provide a state-of-the-art inventory system for the storage, maintenance and distribution of biospecimens and associated data from numerous NIA-funded longitudinal studies on aging and on clinical trials with the broader scientific community; foster compliance with NIH/NIA resources sharing policies; and, foster science advances to ultimately help extend the healthy, active years of life for the world’s fast-growing population of older adults. Starting on October 2023, the AgingResearchBiobank is also hosting and distributing imaging data available for some of our study collections.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.15468/dl.jchhqb
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Thymus carnosus Boiss."
 ]
}

 The dataset includes 85 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028053-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v4sx57
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dianthus ciliatus subsp. ciliatus, Dianthus litoralis Host)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 22 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028055-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.cff53d
title: FAIRsharing record for: The Cancer Target Discovery and Development Dashboard
title: CTD²

description: This FAIRsharing record describes:  The CTD² Dashboard compiles the Network-generated conclusions, or “observations,” associated with a specific gene, cell line, animal model, or perturbagen. It provides supporting evidence with links to data, references, and to the validation strength of the evidence. Data is generated from multiple types of biological and analytical approaches used by CTD² Centers. The Dashboard allows easy navigation to a broad range of computational and non-computational scientists.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.696237
title: FAIRsharing record for: CCDI Molecular Targets Platform
title: MTP

description: This FAIRsharing record describes:  The CCDI MTP allows researchers to browse and identify associations between molecular targets, diseases, and drugs specific for childhood cancers.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.5281/zenodo.13938753
title: Peripheral physiological signals and subjectively felt intensity during an emotion recognition experiment

description: The dataset contains peripheral physiological signals recorded during an emotion inducing experiment, in which subjects could express their subjectively feelings in real-time. In the experiment, there are intensity-varying trials for three different qualities. For each subject, the dataset includes:



Metadata: gender and age;

Physiological signals: raw galvanic skin response, pulse and respiration signals;

Subjective feeling: real-time subjectively felt emotion intensity;

Context information: stimuli indexes.


This dataset’s primary goal is to support the development of emotion recognition algorithms that account for emotion dynamics by overcoming limitations of typical emotion recognition datasets in which, over an extended period of time corresponding to a task, subjects provide their felt emotional state with a single label / dimensions for the entire interval. Such static labelling does not easily allow for the depicting of the dynamic nature of emotions, since they do not contain information about feelings throughout the interval. On the other hand, incorporating emotion dynamics in emotion recognition holds the potential for better recognition and interpretation capabilities.

Beyond experts in emotion recognition, this dataset is also valuable to experts in psychological, cognitive neuroscience, and related fields, since it enables exploring relationships between physiological signals and emotional patterns.
DOI: 10.5281/zenodo.13938754
title: Peripheral physiological signals and subjectively felt intensity during an emotion recognition experiment

description: The dataset contains peripheral physiological signals recorded during an emotion inducing experiment, in which subjects could express their subjectively feelings in real-time. In the experiment, there are intensity-varying trials for three different qualities. For each subject, the dataset includes:



Metadata: gender and age;

Physiological signals: raw galvanic skin response, pulse and respiration signals;

Subjective feeling: real-time subjectively felt emotion intensity;

Context information: stimuli indexes.


This dataset’s primary goal is to support the development of emotion recognition algorithms that account for emotion dynamics by overcoming limitations of typical emotion recognition datasets in which, over an extended period of time corresponding to a task, subjects provide their felt emotional state with a single label / dimensions for the entire interval. Such static labelling does not easily allow for the depicting of the dynamic nature of emotions, since they do not contain information about feelings throughout the interval. On the other hand, incorporating emotion dynamics in emotion recognition holds the potential for better recognition and interpretation capabilities.

Beyond experts in emotion recognition, this dataset is also valuable to experts in psychological, cognitive neuroscience, and related fields, since it enables exploring relationships between physiological signals and emotional patterns.
DOI: 10.6084/m9.figshare.27999416
title: Supplementary materials to Wang MZ, Belmonte-Lopes R, Pan T, Ahmed SA, Rodrigues Lustosa BP, Quan Y, Al-Hatmi AMS,Mayer VE, Voglmayr H,Grisolia ME, de Souza Lima BBJF, Vicente VA, Zhou SQ, Cao Y, Kang YQ, de Hoog GS(2025).A new family of ant-associated fungi in <i>Chaetothyriales</i>. <i>Studies in Mycology</i>

description: The order <i>Chaetothyriales </i>comprises the black yeasts and relatives, of which numerous species are prevalent as opportunists on human hosts. The present paper introduces a clade of species that live in ant nests inside hollow structures of tropical plants (so-called domatia) and their closest relatives. In order to clarify the evolutionary trajectory of the domatia-associated clade, molecular, morphological, and physiological data were analysed. The position of the domatia clade within the <i>Chaetothyriales </i>was assessed by phylogenetic analysis of ITS and LSU. Species delimitations were calculated and genealogical concordance performed with a dataset including the gene of the ribosomal operon, β-tubulin (<i>BT2</i>) and RNA polymerase II largest subunit (<i>RBP1</i>). Genome sequencing allowed additional analysis of mating types, mitochondrial genomes, and estimation of a species tree based on the proteins of 770 single copy orthologous genes. A new family with two new genera in <i>Chaetothyriales </i>was introduced to accommodate the taxa from ant-inhabited domatia and a related clade of plant- and rock-colonizing species. The family is monophyletic and has strong statistical support. Although species delimitation criteria suggested the separation of more than 10 species in the domatia-clade, genealogical concordance of ribosomal and housekeeping gene markers indicated genetic exchange. The existence of seven new species was concluded, species additionally being characterized by phenotypic features of fungal colony morphology, micromorphology, physiology and ecology. However, intra-specific variability remained exceptionally large and did not always match with ecological and geographic data.It is hypothesized that the high degrees of intra- and interspecific variability of some of the clades acknowledged as separate species might be related to extended periods of molecular evolution. The newly described species seem to have their preferred habitat in tropical ant nests, and they may be adapted to this specific environment. Ant-domatia provide a remarkable habitat rich in volatile chemicals, which could be tolerated by the fungi under study. The family is distantly related to the family <i>Herpotrichiellaceae </i>comprising numerous human-opportunistic species, where hydrocarbon tolerance has been hypothesized to play a role in black yeast evolution.
DOI: 10.6084/m9.figshare.27999416.v1
title: Supplementary materials to Wang MZ, Belmonte-Lopes R, Pan T, Ahmed SA, Rodrigues Lustosa BP, Quan Y, Al-Hatmi AMS,Mayer VE, Voglmayr H,Grisolia ME, de Souza Lima BBJF, Vicente VA, Zhou SQ, Cao Y, Kang YQ, de Hoog GS(2025).A new family of ant-associated fungi in <i>Chaetothyriales</i>. <i>Studies in Mycology</i>

description: The order <i>Chaetothyriales </i>comprises the black yeasts and relatives, of which numerous species are prevalent as opportunists on human hosts. The present paper introduces a clade of species that live in ant nests inside hollow structures of tropical plants (so-called domatia) and their closest relatives. In order to clarify the evolutionary trajectory of the domatia-associated clade, molecular, morphological, and physiological data were analysed. The position of the domatia clade within the <i>Chaetothyriales </i>was assessed by phylogenetic analysis of ITS and LSU. Species delimitations were calculated and genealogical concordance performed with a dataset including the gene of the ribosomal operon, β-tubulin (<i>BT2</i>) and RNA polymerase II largest subunit (<i>RBP1</i>). Genome sequencing allowed additional analysis of mating types, mitochondrial genomes, and estimation of a species tree based on the proteins of 770 single copy orthologous genes. A new family with two new genera in <i>Chaetothyriales </i>was introduced to accommodate the taxa from ant-inhabited domatia and a related clade of plant- and rock-colonizing species. The family is monophyletic and has strong statistical support. Although species delimitation criteria suggested the separation of more than 10 species in the domatia-clade, genealogical concordance of ribosomal and housekeeping gene markers indicated genetic exchange. The existence of seven new species was concluded, species additionally being characterized by phenotypic features of fungal colony morphology, micromorphology, physiology and ecology. However, intra-specific variability remained exceptionally large and did not always match with ecological and geographic data.It is hypothesized that the high degrees of intra- and interspecific variability of some of the clades acknowledged as separate species might be related to extended periods of molecular evolution. The newly described species seem to have their preferred habitat in tropical ant nests, and they may be adapted to this specific environment. Ant-domatia provide a remarkable habitat rich in volatile chemicals, which could be tolerated by the fungi under study. The family is distantly related to the family <i>Herpotrichiellaceae </i>comprising numerous human-opportunistic species, where hydrocarbon tolerance has been hypothesized to play a role in black yeast evolution.
DOI: 10.25504/fairsharing.33ed30
title: FAIRsharing record for: HCMI Searchable Catalog
title: null

description: This FAIRsharing record describes:  HCMI Searchable Catalog is a continuously updated resource for querying the available next-generation models developed by the Human Cancer Models Initiative (HCMI). Within the Catalog, users can search by patient demographics, tumor, and model elements including age at diagnosis, sex, treatment information, clinical tumor diagnosis, primary site, clinical stage, and type of model (e.g. 3D-organoid, 2D-conditionally reprogrammed cells), open-access masked somatic MAF variants, etc.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.25504/fairsharing.4e4bac
title: FAIRsharing record for:  Image & Data Archive 
title: IDA

description: This FAIRsharing record describes:  The LONI Image Data Archive (IDA) is a user-friendly environment for archiving, searching, sharing, tracking and disseminating neuroimaging and related clinical data. The IDA is utilized for dozens of neuroimaging research projects across North America and Europe and accommodates MRI, PET, MRA, DTI and other imaging modalities.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.15468/dl.9ccnvd
title: Occurrence Download

description: A dataset containing 605 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dichoropetalum schottii (Besser ex DC.) Pimenov & Kljuykov, Imperatoria chabraei Besser ex DC., Peucedanum schottii var. lelievrei Hy, Imperatoria glauca Bartl., Imperatoria chabraei Besser, Peucedanum petraeum Noë, Pteroselinum glaucum Rchb., Peucedanum petraeum Noë ex W.D.J.Koch, Peucedanum schottii Besser ex DC., Peucedanum petraeum Ardoino, 1867, Peucedanum schottii subsp. petraeum (Noë ex W.D.J.Koch) Arcang., Peucedanum schottii var. petraeum (Noë ex W.D.J.Koch) W.D.J.Koch, Holandrea schottii (Besser ex DC.) Reduron, Charpin & Pimenov, Trachydium schottii (Besser ex DC.) M.Hiroe)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 605 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028057-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.dec70e
title: FAIRsharing record for: AD Data Initiative Repository
title: null

description: This FAIRsharing record describes:  The AD Data Initiative Repository enables sharing of human or human-derived Alzheimer’s and related dementia data. Some of the platform’s key features are it is available to data contributors at no cost; is secure with clearly outlined privacy policies and terms of use; allows for configurable data access and data request forms with flexible data sharing options and visibility into data usage via audit trail.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.