cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/m9s-lhl-0ay
title: Bovidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x3c-8xj-s3v
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7n1-yt1-j52
title: Pongo pygmaeus (Linnaeus, 1760)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/598-ss0-h9r
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jnr-3qh-b2p
title: Pongo pygmaeus (Linnaeus, 1760)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hnb-18k-le3
title: Cervus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fx7-fmd-j0g
title: Cervus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sks-5ka-vrv
title: Cervus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/535-y2j-az2
title: Bovidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5jg-lmn-8tz
title: Sus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j5n-dme-4ek
title: Cervidae Goldfuss, 1820

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p4e-mr4-9vb
title: Crocodylus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c4b-xhx-xex
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/539-gm4-l7p
title: Pongo pygmaeus (Linnaeus, 1760)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yjk-twk-0sw
title: Bovidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ctw-w68-x8y
title: Helarctos malayanus (Raffles, 1822)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mft-2fy-41j
title: Pongo pygmaeus (Linnaeus, 1760)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rl1-q9t-pax
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/044-kv3-q9g
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/awp-bfm-ycc
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cf0-sat-kt8
title: Macaca Lacépède, 1799

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cgp-16m-cpx
title: Cervus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1dy-lbd-5z7
title: Pongo pygmaeus (Linnaeus, 1760)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/b3g-gme-cy3
title: Pongo pygmaeus (Linnaeus, 1760)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/r2a-8x6-pxa
title: Cervus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nae-167-sek
title: Bovidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pe6-y45-zah
title: Cervus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2xz-bsd-y6b
title: Bovidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cmz-mnd-yrm
title: Bovidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/exj-avd-8xj
title: Bovidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2vh-c4p-qh5
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x31-d99-j12
title: Cervus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tll-1mc-t0y
title: Extriplex E. H. Zacharias

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xrt-6ng-r6l
title: Sus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.6084/m9.figshare.29875070
title: RawData.xlsx

description: This dataset supports a systematic review and meta-analysis evaluating the efficacy of lifestyle and pharmacological interventions for reducing visceral adipose tissue (VAT) in adults, a key driver of cardio-renal-hepatic-metabolic (CRHM) risks, including insulin resistance, type 2 diabetes mellitus (T2DM), and cardiovascular disease. Conducted under PRISMA guidelines, the study searched PubMed (January 1, 2010–August 5, 2025) for randomized controlled trials (RCTs) assessing VAT via computed tomography (CT), magnetic resonance imaging (MRI), or dual-energy X-ray absorptiometry (DXA) in adults ≥18 years, excluding those with Type 1 Diabetes, latent autoimmune diabetes in adults, gestational diabetes mellitus, pregnancy, or acute organ insufficiency.Thirty six RCTs involving 5,769 participants were included for this meta-analysis. Interventions included Diet,, Exercise, Diet + Exercise, and GLP1RA-based treatment. The primary outcome was % VAT Change, with secondary outcomes including Total Fat % Change, BMI Change, Weight Change, and Waist Circumference Change.Data were extracted using a standardized Excel template, capturing study characteristics (author, year, intervention, comparison, sample size, duration), participant characteristics (age, weight, BMI, waist circumference, total fat, VAT, female proportion, T2DM prevalence), and outcomes. Meta-analyses used random-effects models in R (metafor package, version 4.2.3), with prediction intervals to assess heterogeneity. Key findings include Diet + Exercise achieving the largest VAT reduction (-18.19%, 95% CI[-27.26, -9.12]), followed by GLP1RT(-14.23%, PI [-18.80, 9.66]), with VLED, tirzepatide, and retatrutide leading their categories. Semaglutide doses &gt;1.0 mg enhanced VAT reduction beyond BMI/weight loss. Weight loss correlated strongly with VAT reduction. Moderators included age, T2DM, and adiposity.This dataset includes two Excel files: "RCTs.xlsx" (36 RCTs, study-level data) and "Analysis.xlsx" (including multi-arm studies). Variables include study identifiers, intervention details, participant demographics, and outcome measures (% VAT Change, etc.), with units (cm², liters, kg) specified. A README file explains the data structure, variable definitions, and extraction methodology. The dataset supports reproducibility, secondary analyses, and future meta-research on VAT-targeted interventions for obesity management.
DOI: 10.6084/m9.figshare.29875070.v4
title: RawData.xlsx

description: This dataset supports a systematic review and meta-analysis evaluating the efficacy of lifestyle and pharmacological interventions for reducing visceral adipose tissue (VAT) in adults, a key driver of cardio-renal-hepatic-metabolic (CRHM) risks, including insulin resistance, type 2 diabetes mellitus (T2DM), and cardiovascular disease. Conducted under PRISMA guidelines, the study searched PubMed (January 1, 2010–August 5, 2025) for randomized controlled trials (RCTs) assessing VAT via computed tomography (CT), magnetic resonance imaging (MRI), or dual-energy X-ray absorptiometry (DXA) in adults ≥18 years, excluding those with Type 1 Diabetes, latent autoimmune diabetes in adults, gestational diabetes mellitus, pregnancy, or acute organ insufficiency.Thirty six RCTs involving 5,769 participants were included for this meta-analysis. Interventions included Diet,, Exercise, Diet + Exercise, and GLP1RA-based treatment. The primary outcome was % VAT Change, with secondary outcomes including Total Fat % Change, BMI Change, Weight Change, and Waist Circumference Change.Data were extracted using a standardized Excel template, capturing study characteristics (author, year, intervention, comparison, sample size, duration), participant characteristics (age, weight, BMI, waist circumference, total fat, VAT, female proportion, T2DM prevalence), and outcomes. Meta-analyses used random-effects models in R (metafor package, version 4.2.3), with prediction intervals to assess heterogeneity. Key findings include Diet + Exercise achieving the largest VAT reduction (-18.19%, 95% CI[-27.26, -9.12]), followed by GLP1RT(-14.23%, PI [-18.80, 9.66]), with VLED, tirzepatide, and retatrutide leading their categories. Semaglutide doses &gt;1.0 mg enhanced VAT reduction beyond BMI/weight loss. Weight loss correlated strongly with VAT reduction. Moderators included age, T2DM, and adiposity.This dataset includes two Excel files: "RCTs.xlsx" (36 RCTs, study-level data) and "Analysis.xlsx" (including multi-arm studies). Variables include study identifiers, intervention details, participant demographics, and outcome measures (% VAT Change, etc.), with units (cm², liters, kg) specified. A README file explains the data structure, variable definitions, and extraction methodology. The dataset supports reproducibility, secondary analyses, and future meta-research on VAT-targeted interventions for obesity management.
DOI: 10.3535/s09-8r1-rp8
title: Rusa C. H. Smith, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.6084/m9.figshare.29875070.v3
title: RawData.xlsx

description: This dataset supports a systematic review and meta-analysis evaluating the efficacy of lifestyle and pharmacological interventions for reducing visceral adipose tissue (VAT) in adults, a key driver of cardio-renal-hepatic-metabolic (CRHM) risks, including insulin resistance, type 2 diabetes mellitus (T2DM), and cardiovascular disease. Conducted under PRISMA guidelines, the study searched PubMed (January 1, 2010–August 5, 2025) for randomized controlled trials (RCTs) assessing VAT via computed tomography (CT), magnetic resonance imaging (MRI), or dual-energy X-ray absorptiometry (DXA) in adults ≥18 years, excluding those with Type 1 Diabetes, latent autoimmune diabetes in adults, gestational diabetes mellitus, pregnancy, or acute organ insufficiency.Forty RCTs involving 4,512 participants were included, with 36 RCTs (3,996 participants) analyzed for meta-regression and differential impact after excluding Supplements (Probiotics, n=144; Fish oil, n=72), Orlistat (n=200), and Testosterone (n=100) due to limited data. Interventions included Diet (n=7, e.g., very low energy diet [VLED], low calorie diet [LCD], low fat diet [LFD]), Exercise (n=4, e.g., high-intensity interval training [HIIT], resistance training), Diet + Exercise (n=5), and GLP1RA-based treatments (n=17, e.g., liraglutide, semaglutide, tirzepatide, retatrutide). The primary outcome was % VAT Change, with secondary outcomes including Total Fat % Change, BMI Change, Weight Change, and Waist Circumference Change.Data were extracted using a standardized Excel template, capturing study characteristics (author, year, intervention, comparison, sample size, duration), participant characteristics (age, weight, BMI, waist circumference, total fat, VAT, female proportion, T2DM prevalence), and outcomes. Meta-analyses used random-effects models in R (metafor package, version 4.2.3), with prediction intervals to assess heterogeneity. Key findings include Diet + Exercise achieving the largest VAT reduction (-25.07%, PI [-45.2, -4.9]), followed by GLP1RAs (-13.55%, PI [-28.1, 0.9]), with VLED, tirzepatide, and retatrutide leading their categories. Semaglutide doses &gt;1.0 mg enhanced VAT reduction beyond BMI/weight loss. Weight loss correlated strongly with VAT reduction (r = 0.72–0.90). Moderators included age, T2DM, and adiposity.This dataset includes two Excel files: "RCTs.xlsx" (40 RCTs, study-level data) and "Analysis.xlsx" (54 intervention arms, including multi-arm studies). Variables include study identifiers, intervention details, participant demographics, and outcome measures (% VAT Change, etc.), with units (cm², liters, kg) specified. A README file explains the data structure, variable definitions, and extraction methodology. The dataset supports reproducibility, secondary analyses, and future meta-research on VAT-targeted interventions for obesity management.
DOI: 10.3535/5hk-jht-zcs
title: Liquidambar L.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lw3-n9q-531
title: Bovidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bs4-e26-7g8
title: Sus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/v4d-1dk-mjh
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/07h-7h7-awd
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e93-wjc-wsk
title: Bovidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nlx-2c3-fyj
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sfb-hlk-tmf
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/043-aa5-151
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/axp-n34-eaf
title: Cervidae Goldfuss, 1820

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2jz-x94-nm9
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c22-h89-ta7
title: Pteris L.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h2g-4mf-v6x
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.r2jz4y
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nomada fuscicincta Swenk, 1915"
 ]
}

 The dataset includes 28 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003693-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57833/cidacs/djyijy
title: Registros de eventos em saúde pública vinculados ao sistema de informações de nascidos vivos e ao sistema de informações sobre mortalidade

description: Conjunto de dados produzido e utilizado com a finalidade de alcance dos objetivo geral de “Constituir plataforma de integração de conhecimentos das coortes epidemiológicas (coorte ZIKA e de microcefalia) com diferentes bases de dados da Saúde (SINASC/SISVAN/SIM/SIH/SIASUS) e de Desenvolvimento Social (Cadúnico/PBC) para acompanhamento de longo prazo das condições de vida da população acometida com microcefalia e pelo vírus zika.” e do específico “Acompanhar a população acometida pelo Zika Virus/microcefalia, em forma de coorte epidemiológica”; ambos componentes do projeto intitulado “Plataforma de vigilância de longo prazo para a Zika e Microcefalia no âmbito de SUS”.
DOI: 10.15156/bio/sh1405754.10fu
title: SH1405754.10FU

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/sh1405755.10fu
title: SH1405755.10FU

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/sh1405758.10fu
title: SH1405758.10FU

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/sh1405761.10fu
title: SH1405761.10FU

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/sh1405762.10fu
title: SH1405762.10FU

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/sh1405764.10fu
title: SH1405764.10FU

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/sh1405765.10fu
title: SH1405765.10FU

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.