cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2xnaj9
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dendrophorbium subnemorale (Dusén) A.M.Teles"
 ]
}

 The dataset includes 84 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154374-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sj9cn3
title: Occurrence Download

description: A dataset listing the 128 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Occurrence of plant species in the proposed Ankasa-Bia-Krokosua ecological corridor of Ghana"
 ]
}

 The dataset's 128 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0220420-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sfd5e8
title: Occurrence Download

description: A dataset containing 3045 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Darmera peltata (Torr. ex Benth.) Voss",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3045 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080821-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pd673t
title: Occurrence Download

description: A dataset containing 992 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 {
 "or" : [
 "TaxonKey is Antithamnionella ternifolia (Hook.f. & Harv.) Lyle",
 "TaxonKey is Asperococcus bullosus J.V.Lamour.",
 "TaxonKey is Asperococcus ensiformis (Delle Chiaje) M.J.Wynne",
 "TaxonKey is Champia affinis (Hook.f. & Harv.) Harv.",
 "TaxonKey is Chnoospora minima (K.Hering) Papenf.",
 "TaxonKey is Chondria harveyana (J.Agardh) De Toni",
 "TaxonKey is Cladophora ruchingeri (C.Agardh) Kütz.",
 "TaxonKey is Codium fragile subsp. fragile",
 "TaxonKey is Colpomenia peregrina Sauv.",
 "TaxonKey is Cutleria multifida (Turner) Grev.",
 "TaxonKey is Colpomenia bullosa Saund.",
 "TaxonKey is Dictyota furcellata (C.Ag.) J.Ag.",
 "TaxonKey is Grateloupia subpectinata Holmes",
 "TaxonKey is Grateloupia turuturu Yamada",
 "TaxonKey is Griffithsia crassiuscula C.Agardh",
 "TaxonKey is Hydroclathrus clathratus (C.Agardh) M.Howe",
 "TaxonKey is Hypnea cervicornis J.Agardh",
 "TaxonKey is Hypnea cornuta (Kütz.) J.Agardh",
 "TaxonKey is Polysiphonia brodiei (Dillwyn) Sprengel",
 "TaxonKey is Neosiphonia harveyi",
 "TaxonKey is Polysiphonia japonica Harvey, 1857",
 "TaxonKey is Neosiphonia sertularioides (Gratel.) K.W.Nam & P.J.Kang",
 "TaxonKey is Polysiphonia subtilissima Mont.",
 "TaxonKey is Phyllotricha verruculosa (C.Agardh) R.M Dixon & Huisman",
 "TaxonKey is Polysiphonia morrowii Harv.",
 "TaxonKey is Polysiphonia senticulosa Harv.",
 "TaxonKey is Punctaria latifolia Grev.",
 "TaxonKey is Pyropia suborbiculata (Kjellm.) J.E.Sutherl., H.G.Choi, M.S.Hwang & W.A.Nelson",
 "TaxonKey is Rosenvingea sanctae-crucis Boergesen",
 "TaxonKey is Stictyosiphon soriferus (Reinke) Rosenv.",
 "TaxonKey is Ulva australis Aresch.",
 "TaxonKey is Ulva californica Wille",
 "TaxonKey is Ulva compressa L.",
 "TaxonKey is Ulva flexuosa Wulfen",
 "TaxonKey is Ulva intestinalis L.",
 "TaxonKey is Ulva lactuca L.",
 "TaxonKey is Umbraulva japonica (Holmes) E.H.Bae & I.K.Lee",
 "TaxonKey is Undaria pinnatifida (Harv.) Suringar"
 ]
 }
 ]
}

 The dataset includes 992 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006285-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kjv7hz
title: Occurrence Download

description: A dataset containing 209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solenopsis corsica (Meikle) M.B.Crespo, Serra & Juan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 209 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080805-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lhqcks
title: Occurrence Download

description: A dataset containing 685 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Brachiopoda"
 ]
}

 The dataset includes 685 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008658-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.268wty
title: Occurrence Download

description: A dataset containing 1023 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amphisbaena fuliginosa Linnaeus, 1758"
 ]
}

 The dataset includes 1023 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012821-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.46fsxx
title: Occurrence Download

description: A dataset containing 2490 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Soldanella montana Willd.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2490 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080824-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.i8g35j
title: Occurrence Download

description: A dataset containing 6896 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registros de hongos en áreas protegidas de la Argentina"
 ]
}

 The dataset includes 6896 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008663-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbhd9m
title: Occurrence Download

description: A dataset containing 855 species occurrences available in GBIF matching the query:
{
 "and" : [
 "StateProvince is TOcantins",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 855 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239384-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6q3hk9
title: Occurrence Download

description: A dataset containing 224 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Datisca cannabina L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 224 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080829-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cj4ejt
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Puma concolor (Linnaeus, 1771)"
 ]
}

 The dataset includes 80 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008661-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ywkhyb2hw6.1
title: English_National_Travel_Survey_2002_2023

description: This dataset contains the English National Travel Survey from 2002 to 2023, with extra information on carbon intensity from "Greenhouse gas reporting: conversion factors" by the UK government.
DOI: 10.17632/46vpt9tfff.1
title: Seasonal respiratory virus trends in pediatric patients during the COVID-19 pandemic in Brazil

description: Acute respiratory infections are a constant public health problem causing childhood morbidity and mortality worldwide. Reported cases of major respiratory infections decreased in 2020 after restrictive measures were adopted to contain the COVID-19 pandemic, but there is little data on the impact after these measures were relaxed in the subsequent years. This study conducted molecular analysis to identify rhinovirus, respiratory syncytial virus, influenza A virus, and adenovirus in SARS-CoV-2-negative samples taken from symptomatic pediatric patients during 2021 and 2022 to ascertain the impact of pandemic response measures within the broader epidemiological scenario. The positivity rates found were 28.3% and 50.8%, in 2021 and 2022, respectively, representing a significant increase (1.8 times) in the circulation of non-SARS-CoV-2 viruses after the reduction of non-pharmacological measures to contain the COVID-19 pandemic. Within the positive samples, rhinovirus and respiratory syncytial virus were most frequent (44.4 and 18% in 2021; 44.5 and 22.5% in 2022), whereas influenza A and adenovirus were found in lower frequency (12.5 and 5.5% in 2021; 13.4 and 4.9% in 2022, respectively). Because these different respiratory virus diseases produce similar symptoms, diagnosis based on clinical condition alone can be inaccurate, and more reliable testing is required to select the best therapeutic approach for each case. The loosening of restrictive measures to contain the COVID-19 pandemic led to higher numbers of other respiratory infections in pediatric patients. Ongoing surveillance and differential diagnosis of respiratory viruses are required to better understand their seasonal patterns after the COVID-19 pandemic to guide prevention and control strategies.
DOI: 10.17632/x3zcxr6nxx.1
title: Superior compressive performance of alveolar biomimetic interlaced hollow lattice metastructures

description: Advancements in additive manufacturing have significantly enhanced the designability of lattice structures for superior compression resistance. Inspired by the sac-like morphology of alveolar tissues, an alveolar biomimetic interlaced hollow lattice metastructure with superimposed double pipes is proposed. This metastructure features customizable geometric parameters, offering strong designability, unique compression deformation behavior, and distinct mechanical responses. Specimens with different geometric dimensions are fabricated from Inconel 718 by selective laser melting. Detailed surface morphology evaluations using scanning electron microscopy and X-ray scanning reveal high-fidelity manufacturing outcomes. A novel refined finite element model, based on X-ray data, accurately predicts the mechanical behavior of millimeter-scale lattice structures, validated through rigorous experiments. Compressive performance of the metastructures under different size parameters is investigated using both experimental testing and finite element simulations, revealing that the 45° metastructure exhibits the highest energy absorption efficiency of 90%. The enhancement of self-supporting effect is significant, especially the 30° double-cell structure energy absorption capacity is increased by 51% compared to single-cell case. Additionally, gradient metastructures are designed and tested, demonstrating effective suppression of shear band formation and increasing energy absorption capacity up to 26.29%. The proposed hollow lattice metastructure holds great potential for load bearing and energy absorption applications.
Keywords: Lattice metastructures; Alveolar biomimetic design; Refined finite element model; Compressive behavior; Energy absorption
DOI: 10.17632/gz5pkwf835.1
title: ExternalDerNNs

description: This data is of nicknames that are not based on the bearer's first name.
DOI: 10.17632/hgw64tjrzm.1
title: The Impact of Legal Auditors on Financial Reports Quality in Jordanian Companies

description: Data to "the Impact of Legal Auditors on Financial Reports Quality in Jordanian Companies"
DOI: 10.17632/hgw64tjrzm.2
title: Accounting information system and performance

description: Data to "the Impact of Legal Auditors on Financial Reports Quality in Jordanian Companies"
DOI: 10.17632/hgw64tjrzm.3
title: Accounting information system and performance

description: Accounting information system and performance
DOI: 10.17632/tr6s4jvc9m.1
title: Source data for Dwenger et al., 2022, Nature Communications

description: Source data from study described in Dwenger et al., Nature Communications, 2022 Apr 19; 13(1):2051.
DOI: 10.17632/h4fhfptkg6.1
title: Is The Rising Tide of Specialty Coffee Lifting All Boats?

description: This is the sharable data used to create the tables and figures used in this article.
DOI: 10.17632/6rxvd33nbx.1
title: Self-organizational origin of oscillatory zoning in pyrite

description: EPMA, Nano-SIMS, LA-ICP-MS data for paper of " Self-organizational origin of oscillatory zoning in pyrite: A coupled diffusion-reaction model and pH-As adsorption feedback mechanism" submitted to Geochimica et Cosmochimica Acta.
DOI: 10.17632/7mrmv8p4vv.1
title: Segunda Vítima: Análise de Conceito Fundamentada no Modelo Evolucionário de Rodgers

description: Introdução: Incidentes na assistência à saúde afetam tanto os pacientes quanto os profissionais envolvidos. O impacto sobre esses profissionais, conhecidos como "segundas vítimas", é um dos principais fardos ocultos do dano. Objetivo: Analisar o conceito de “segunda vítima” sob a perspectiva evolucionária de Rodgers. Material e Métodos: A pesquisa realiza uma análise de conceito fundamentada na visão evolucionária de Rodgers, utilizando uma revisão de escopo para identificar atributos, antecedentes, consequentes, termos substitutos e conceitos relacionados ao conceito de “segunda vítima”. Resultados: Os atributos do conceito de “segunda vítima” envolvem repercussões físicas, emocionais e psicológicas duradouras. Os antecedentes incluem cultura punitiva e falta de apoio institucional e de pares. Os consequentes, destacam distúrbios do sono, raiva, medo, tristeza, vergonha, memórias intrusivas, ansiedade, depressão, isolamento, absenteísmo e abandono da profissão. Os termos relacionados abrangem segurança do paciente e saúde mental, enquanto termos substitutos incluem “fenômeno” e “síndrome” da segunda vítima. Discussão: Ambientes punitivos agravam os impactos negativos, desestimulam a segurança do paciente, promovem a ocultação de erros e aumentam as subnotificações, dificultando o aprendizado organizacional e a correção de falhas. Conclusão: O conceito de “segunda vítima” refere-se aos trabalhadores de saúde, acadêmicos e colaboradores administrativos ou de apoio, envolvidos direta ou indiretamente no cuidado ao paciente, que ao implicarem-se em um incidente relacionado à assistência à saúde de natureza não intencional, manifestam reações físicas, emocionais e psicológicas, com repercussões nas dimensões biopsicossociais, éticas e legais. As reações sem o suporte adequado e oportuno, podem se tornar crônicas e, eventualmente, patológicas.

Palavras Chaves: Segurança do Paciente; Saúde Ocupacional; Formação de conceito.
DOI: 10.17632/jszw485f8j.1
title: LUTBIO multimodal biometric database

description: The LUTBIO multimodal biometric database includes the following key features:
- The database comprises nine types of biometric data: voice, face, finger, palm_touch, ECG, opisthenar, ear, palm_touchless, and periocular.
- The database includes information on 306 subjects, with a balanced gender ratio of 162 males and 143 females. The age distribution is wide-ranging, from the youngest at 8 years old to the oldest at 90 years old.
- The volunteers for the database come from naturally occurring human settlements, representing a large-scale statistical population. The collected biometric data reflects various changes in real-world environments.
- The LUTBIO database provides both palm print (contact-based and contactless) and fingerprint (optical photos and scans) biometric information, aiming to promote the development of multimodal biometric authentication technologies and guide the creation of future multimodal biometric databases.
- The biometric data in the LUTBIO database is highly decoupled, meaning that these data can be separated and independently processed without losing their original information. This provides flexibility for analyzing and improving single or multimodal recognition technologies, while also allowing researchers to optimize or recombine different biometric features for specific application scenarios.

✅✅✅Given that the paper has not yet been published, we have decided to upload sample data from 6 individuals first. Once the paper is published, we will release the entire dataset.

🥸🥸🥸Please read the collection protocol of the LUTBIO data set carefully, which is very important to us. Thank you.
DOI: 10.17632/jszw485f8j.2
title: LUTBIO multimodal biometric database

description: The LUTBIO multimodal biometric database includes the following key features:
- The database comprises nine types of biometric data: voice, face, finger, palm_touch, ECG, opisthenar, ear, palm_touchless, and periocular.
- The database includes information on 306 subjects, with a balanced gender ratio of 162 males and 143 females. The age distribution is wide-ranging, from the youngest at 8 years old to the oldest at 90 years old.
- The volunteers for the database come from naturally occurring human settlements, representing a large-scale statistical population. The collected biometric data reflects various changes in real-world environments.
- The LUTBIO database provides both palm print (contact-based and contactless) and fingerprint (optical photos and scans) biometric information, aiming to promote the development of multimodal biometric authentication technologies and guide the creation of future multimodal biometric databases.
- The biometric data in the LUTBIO database is highly decoupled, meaning that these data can be separated and independently processed without losing their original information. This provides flexibility for analyzing and improving single or multimodal recognition technologies, while also allowing researchers to optimize or recombine different biometric features for specific application scenarios.

✅✅✅Given that the paper has not yet been published, we have decided to upload sample data from 6 individuals first. Once the paper is published, we will release the entire dataset.

🥸🥸🥸Please read the collection protocol of the LUTBIO data set carefully, which is very important to us. Thank you.
DOI: 10.17632/jszw485f8j.3
title: LUTBIO multimodal biometric database

description: The LUTBIO database provides a comprehensive resource for research in multimodal biometric authentication, featuring the following key aspects:

- Extensive Biometric Modalities: The database contains data from nine biometric modalities: voice, face, fingerprint, contact-based palmprint, electrocardiogram (ECG), opisthenar (back of hand), ear, contactless palmprint, and periocular region.

- Diverse Demographics: Data were collected from 306 individuals, with a balanced gender distribution of 164 males and 142 females, spanning an age range of 8 to 90 years. This diverse age representation enables analyses across a wide demographic spectrum.

- Representative Population Sampling: Volunteers were recruited from naturally occurring communities, ensuring a large-scale, statistically representative population. The collected data encompass variations observed in real-world environments.

- Support for Multimodal and Cross-Modality Research: LUTBIO provides both contact-based and contactless palmprint data, as well as fingerprint data (from optical images and scans), promoting advancements in multimodal biometric authentication. This resource is designed to guide the development of future multimodal databases.

- Flexible, Decouplable Data: The biometric data in the LUTBIO database are designed to be highly decouplable, enabling independent processing of each modality without loss of information. This flexibility supports both single-modality and multimodal analysis, empowering researchers to optimize, combine, and customize biometric features for specific applications.


✅ Data Availability: To facilitate early access, we are initially releasing sample data from 6 individuals. Upon publication of the paper, the full dataset will be made available.

🥸 Important Notice: Please read the data collection protocol of the LUTBIO dataset carefully before use, as it is essential for understanding and correctly interpreting the dataset. Thank you.

😎 Good news! Our paper has received revision comments, and we are carefully making revisions based on the feedback. We appreciate the reviewers and the editor for their efforts.🥰🥰🥰
DOI: 10.17632/jszw485f8j.4
title: LUTBIO multimodal biometric database

description: The LUTBIO database provides a comprehensive resource for research in multimodal biometric authentication, featuring the following key aspects:

- Extensive Biometric Modalities: The database contains data from nine biometric modalities: voice, face, fingerprint, contact-based palmprint, electrocardiogram (ECG), opisthenar (back of hand), ear, contactless palmprint, and periocular region.

- Diverse Demographics: Data were collected from 306 individuals, with a balanced gender distribution of 164 males and 142 females, spanning an age range of 8 to 90 years. This diverse age representation enables analyses across a wide demographic spectrum.

- Representative Population Sampling: Volunteers were recruited from naturally occurring communities, ensuring a large-scale, statistically representative population. The collected data encompass variations observed in real-world environments.

- Support for Multimodal and Cross-Modality Research: LUTBIO provides both contact-based and contactless palmprint data, as well as fingerprint data (from optical images and scans), promoting advancements in multimodal biometric authentication. This resource is designed to guide the development of future multimodal databases.

- Flexible, Decouplable Data: The biometric data in the LUTBIO database are designed to be highly decouplable, enabling independent processing of each modality without loss of information. This flexibility supports both single-modality and multimodal analysis, empowering researchers to optimize, combine, and customize biometric features for specific applications.


✅ Data Availability: To facilitate early access, we are initially releasing sample data from 6 individuals. Upon publication of the paper, the full dataset will be made available.

🥸 Important Notice: Please read the data collection protocol of the LUTBIO dataset carefully before use, as it is essential for understanding and correctly interpreting the dataset. Thank you.

😎 Good news! Our paper has received revision comments, and we are carefully making revisions based on the feedback. We appreciate the reviewers and the editor for their efforts.🥰🥰🥰

🤠 We conducted further research based on the LUTBIO database and proposed AuthFormer: An Adaptive Multimodal Biometric Authentication Framework for Secure and Flexible Identity Verification. The code is available at https://github.com/RykerYang/Authformer-LUTBIO.git. Our work is currently under review for an international conference, where we are dealing with a malicious reviewer. We are in the process of responding and appealing—wish us luck! 🍀🍀🍀