cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5qdr9p
title: Occurrence Download

description: A dataset containing 1221 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Triglochin bulbosa"
 ]
}

 The dataset includes 1221 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038243-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ujm97z
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Gloydius qinlingensis"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038245-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j25ttd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oncorhynchus keta",
 "Country is Latvia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038246-250811113504898/datasets/export for details.
DOI: 10.15468/dl.hhng75
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oncorhynchus keta",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 119 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038247-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f99r53
title: Occurrence Download

description: A dataset containing 1314276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "DatasetKey is one of (iNaturalist Research-grade Observations, AntWeb, Three new species of Pheidole Westwood, 1839 (Hymenoptera: Formicidae: Myrmicinae: Attini) from central Mexico)",
 "Year 2023-2025"
 ]
}

 The dataset includes 1314276 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038234-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p53h8h
title: Occurrence Download

description: A dataset containing 757 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calceolaria uniflora"
 ]
}

 The dataset includes 757 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038249-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2s6h4f
title: Occurrence Download

description: A dataset containing 849 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Goodyera henryi"
 ]
}

 The dataset includes 849 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038248-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.btpshp
title: Occurrence Download

description: A dataset containing 765 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calceolaria polyrhiza"
 ]
}

 The dataset includes 765 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038251-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p765bv
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carduus pycnocephalus",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 46 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038254-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4egdm
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carduus pycnocephalus",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038253-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nqfj7a
title: Occurrence Download

description: A dataset containing 1986 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Centropus bengalensis"
 ]
}

 The dataset includes 1986 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038252-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mm3dcm
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carduus pycnocephalus",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038256-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.43n96m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oncorhynchus keta",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038258-250811113504898/datasets/export for details.
DOI: 10.15468/dl.9tqyny
title: Occurrence Download

description: A dataset containing 5924 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Goodyera tesselata"
 ]
}

 The dataset includes 5924 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038257-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7zwxq
title: Occurrence Download

description: A dataset containing 1365 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calliandra magdalenae"
 ]
}

 The dataset includes 1365 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038260-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tpddnp
title: Occurrence Download

description: A dataset containing 2713 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pedicularis semibarbata"
 ]
}

 The dataset includes 2713 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038259-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.34tatw
title: Occurrence Download

description: A dataset containing 1144 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Triglochin laxiflora"
 ]
}

 The dataset includes 1144 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038262-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28861628
title: Can You Hear Me?.pdf

description: The paper tries to break down the interlinked communication of the Tyrone Family in Eugene O'Neill's<i> Long Day's Journey into Night</i>. Communication and miscommunication are explored with examples in each level of connection presented in the play. Then it tries to apply and see how we can see these in action and in real life.
DOI: 10.15468/dl.cx2ev3
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eleiodoxa conferta (Griff.) Burret",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 23 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000571-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cjkph6
title: Occurrence Download

description: A dataset containing 4372 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Heliconiine Butterfly Collection Records from University of Cambridge"
 ]
}

 The dataset includes 4372 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011534-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ktrxh
title: Occurrence Download

description: A dataset containing 4400 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agave sisalana Perrine"
 ]
}

 The dataset includes 4400 records from 156 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011536-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3hjqux
title: Occurrence Download

description: A dataset containing 302835 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Atlapetes Wagler, 1831"
 ]
}

 The dataset includes 302835 records from 298 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011112-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/h4t3bpbrvn.1
title: Government Bond Risk and Return in the US and China

description: These are the data and code from our paper "Government Bond Risk and Return in the US and China" in the Journal of Financial Economics. Please see that paper for details.
DOI: 10.17632/br3h7gn8kb
title: PKU STUDY

description: Contains the data set pertaining to the PKU study.
DOI: 10.17632/br3h7gn8kb.1
title: PKU STUDY

description: Contains the data set pertaining to the PKU study.
DOI: 10.5519/qd.qspjrgmz
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.15468/dl.pa5ryd
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.66874 -12.53702,126.56954 -12.53702,126.56954 36.26611,4.66874 36.26611,4.66874 -12.53702))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bambusa tulda"
 ]
}

 The dataset includes 52 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039412-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ju6kv
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aecidiolum",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039413-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25829/pm8z-7622
title: R scripts used in Sachsenmaier et al. (2025): Hydro-functional traits and their dissimilarity to the neighbourhood buffer tree growth against the 2018-2020 Central European drought

description: Climate change is predicted to increase the frequency and duration of drought events, threatening the functioning of Central European forests. While diverse forests often promote long-term growth stability, their performance during extreme drought events remains debated. Understanding the effects of forest diversity on tree growth during drought requires not only a consideration of tree interactions with direct neighbouring trees but also of the species’ morphological and physiological characteristics, i.e., a trait-based approach. Contrasting species-specific drought responses might be driven by hydro-functional traits, which shape a tree’s hydraulic safety and stomatal control strategy. 
We investigated individual tree growth before, during, and after the unprecedented 2018-2020 Central European drought, from a hydro-functional perspective. We analysed annual growth data from 2,611 trees in a temperate tree diversity experiment (MyDiv experiment, Germany), measured 14 hydro-functional traits, and modelled individual tree growth across the years 2016-2021, considering the interaction of climatic conditions with hydro-functional trait syndromes. We analysed if the hydro-functional dissimilarity to the tree neigbhourhood can buffer tree growth against drought.

The R Scripts used for this analysis:
(1) synthesize all hydro-functional trait data measured, calculates the species mean of all 14 traits, and performs a Principal Component Analysis (PCA)
(2) uses those PC axes to predict tree growth over the years
(3) uses the trait data,calculates hydro-functional dissimilarity for each focal tree, and uses this variable as a predictor of tree growth over the years (alone, and in interaction with the hydrofunctional identity of the trees).
DOI: 10.17632/9mj4g728pr
title: Manual do usuário / Relatório Técnico do Videolaringoscópio em PLA

description: Manual do Usuário / Relatório Técnico: Videolaringoscópio 3D
Este manual técnico tem como finalidade apresentar o videolaringoscópio 3D, um dispositivo médico desenvolvido para auxiliar em procedimentos de intubação orotraqueal, promovendo visualização otimizada da via aérea. Embora projetado principalmente para uso humano, o equipamento também pode ser aplicado em procedimentos veterinários, especialmente em animais de pequeno e médio porte.

A intubação traqueal guiada é um procedimento fundamental para garantir a manutenção de uma via aérea segura, possibilitando ventilação adequada, administração de oxigênio e anestesia inalatória. O videolaringoscópio facilita essa prática ao oferecer uma visão ampliada e precisa da glote — região crítica para a inserção correta do tubo orotraqueal. Seu uso contribui para reduzir o risco de lesões traqueais e esofágicas, além de minimizar falhas na visualização da laringe.

O tamanho do videolaringoscópio em relação à cavidade oral é um aspecto relevante, pois influencia diretamente na acomodação do dispositivo e na facilidade de sua manipulação durante o procedimento. O equipamento foi projetado com estrutura leve e dimensões otimizadas, o que permite ao operador reduzir a força de tração sobre a língua e mandíbula, tornando o processo de intubação mais seguro e confortável para o paciente.

O videolaringoscópio pode ser utilizado em dois principais posicionamentos anatômicos: orientação crânio-dorsal e orientação crânio-ventral, adaptando-se à técnica e às necessidades clínicas do operador.

Este manual tem como objetivo orientar o usuário no uso correto do equipamento, promovendo segurança, eficiência e qualidade na assistência prestada, além de minimizar riscos e complicações durante a intubação.
DOI: 10.17632/9mj4g728pr.1
title: Manual do usuário / Relatório Técnico do Videolaringoscópio em PLA

description: Manual do Usuário / Relatório Técnico: Videolaringoscópio 3D
Este manual técnico tem como finalidade apresentar o videolaringoscópio 3D, um dispositivo médico desenvolvido para auxiliar em procedimentos de intubação orotraqueal, promovendo visualização otimizada da via aérea. Embora projetado principalmente para uso humano, o equipamento também pode ser aplicado em procedimentos veterinários, especialmente em animais de pequeno e médio porte.

A intubação traqueal guiada é um procedimento fundamental para garantir a manutenção de uma via aérea segura, possibilitando ventilação adequada, administração de oxigênio e anestesia inalatória. O videolaringoscópio facilita essa prática ao oferecer uma visão ampliada e precisa da glote — região crítica para a inserção correta do tubo orotraqueal. Seu uso contribui para reduzir o risco de lesões traqueais e esofágicas, além de minimizar falhas na visualização da laringe.

O tamanho do videolaringoscópio em relação à cavidade oral é um aspecto relevante, pois influencia diretamente na acomodação do dispositivo e na facilidade de sua manipulação durante o procedimento. O equipamento foi projetado com estrutura leve e dimensões otimizadas, o que permite ao operador reduzir a força de tração sobre a língua e mandíbula, tornando o processo de intubação mais seguro e confortável para o paciente.

O videolaringoscópio pode ser utilizado em dois principais posicionamentos anatômicos: orientação crânio-dorsal e orientação crânio-ventral, adaptando-se à técnica e às necessidades clínicas do operador.

Este manual tem como objetivo orientar o usuário no uso correto do equipamento, promovendo segurança, eficiência e qualidade na assistência prestada, além de minimizar riscos e complicações durante a intubação.
DOI: 10.17632/5bzy89brkv
title: A Real-World Hibiscus and Tea Leaf Image Dataset for Classification

description: The Combined Hibiscus and Tea Leaf Image Dataset is a comprehensive and well-balanced collection comprising 1,413 original high-quality leaf images captured under natural outdoor conditions across various regions of Bangladesh using a SONY α7 II DSLR camera and a OnePlus 7T smartphone. The dataset includes two major plant species—Hibiscus and Tea—and aims to facilitate research in plant disease detection, agricultural image analysis, and computer vision–based crop health monitoring. The Hibiscus subset consists of 1,165 images categorized into eight distinct classes: Healthy (473 images), Mild Edge Damage (226 images), Citruspot (150 images), Slightly Diseased (109 images), Early Mild Spotting (83 images), Wrinkled (56 images), Senescent (40 images), and Fungal Infected (28 images). The Tea subset contains 248 images divided into five disease categories: Algal Leaf Spot (54 images), Brown Blight (48 images), Grey Blight (53 images), Healthy (49 images), and Red Leaf Spot (44 images). These class distributions capture a diverse range of leaf conditions, disease severities, and environmental variations, providing a realistic foundation for machine learning and deep learning applications. To overcome class imbalance and enrich the dataset, extensive image augmentation was performed using both PIL and OpenCV techniques, including brightness and contrast adjustment, color enhancement, rotation, flipping, scaling, cropping, shifting, zooming, and Gaussian noise addition. Through this process, each class was expanded to 1,000 images, resulting in a total of 13,000 augmented images evenly distributed across the 13 classes. All images are stored in .JPG format and organized into separate folders per class, maintaining a consistent structure and naming convention. Overall, this dataset offers a rich and diverse resource for developing robust models for leaf disease classification, precision agriculture, and automated plant health monitoring, making it a valuable contribution to the fields of computer vision and agricultural research.
DOI: 10.17632/5bzy89brkv.4
title: A Real-World Hibiscus and Tea Leaf Image Dataset for Classification

description: The Combined Hibiscus and Tea Leaf Image Dataset is a comprehensive and well-balanced collection comprising 1,413 original high-quality leaf images captured under natural outdoor conditions across various regions of Bangladesh using a SONY α7 II DSLR camera and a OnePlus 7T smartphone. The dataset includes two major plant species—Hibiscus and Tea—and aims to facilitate research in plant disease detection, agricultural image analysis, and computer vision–based crop health monitoring. The Hibiscus subset consists of 1,165 images categorized into eight distinct classes: Healthy (473 images), Mild Edge Damage (226 images), Citruspot (150 images), Slightly Diseased (109 images), Early Mild Spotting (83 images), Wrinkled (56 images), Senescent (40 images), and Fungal Infected (28 images). The Tea subset contains 248 images divided into five disease categories: Algal Leaf Spot (54 images), Brown Blight (48 images), Grey Blight (53 images), Healthy (49 images), and Red Leaf Spot (44 images). These class distributions capture a diverse range of leaf conditions, disease severities, and environmental variations, providing a realistic foundation for machine learning and deep learning applications. To overcome class imbalance and enrich the dataset, extensive image augmentation was performed using both PIL and OpenCV techniques, including brightness and contrast adjustment, color enhancement, rotation, flipping, scaling, cropping, shifting, zooming, and Gaussian noise addition. Through this process, each class was expanded to 1,000 images, resulting in a total of 13,000 augmented images evenly distributed across the 13 classes. All images are stored in .JPG format and organized into separate folders per class, maintaining a consistent structure and naming convention. Overall, this dataset offers a rich and diverse resource for developing robust models for leaf disease classification, precision agriculture, and automated plant health monitoring, making it a valuable contribution to the fields of computer vision and agricultural research.
DOI: 10.17632/gtnfn8kg6w
title: Genealogia Acadêmica - Tereza Maria de Azevedo Pires Sério

description: Dados para o artigo "'Por que somos behavioristas radicais?': Estudo Honorífico da Genealogia Acadêmica de Téia Sério"
DOI: 10.17632/gtnfn8kg6w.1
title: Genealogia Acadêmica - Tereza Maria de Azevedo Pires Sério

description: Dados para o artigo "'Por que somos behavioristas radicais?': Estudo Honorífico da Genealogia Acadêmica de Téia Sério"
DOI: 10.17632/bgy2gmr6jc
title: nectar_meniscus_all_birds
DOI: 10.17632/bgy2gmr6jc.1
title: nectar_meniscus_all_birds