cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15272247
title: G¨odel-Type Metrics in Twistor-EBIKK-β Gravity

description: This paper investigates the properties of G¨odel-type cosmological solutions within Twistor-Entropic-Born-Infeld-Kaluza-Klein-β (Twistor-EBIKK β) gravity. The model predicts quantum-gravity corrections to rotational spacetime metrics, including suppression of closed timelike curves and quantized angular momentum states.
DOI: 10.5281/zenodo.15272248
title: G¨odel-Type Metrics in Twistor-EBIKK-β Gravity

description: This paper investigates the properties of G¨odel-type cosmological solutions within Twistor-Entropic-Born-Infeld-Kaluza-Klein-β (Twistor-EBIKK β) gravity. The model predicts quantum-gravity corrections to rotational spacetime metrics, including suppression of closed timelike curves and quantized angular momentum states.
DOI: 10.15468/dl.vcs5fj
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Glehnia littoralis (A.Gray) F.Schmidt ex Miq."
 ]
}

 The dataset includes 96 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008169-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hftn77
title: Occurrence Download

description: A dataset containing 207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mesembryanthemum crystallinum L.",
 "Country is Morocco"
 ]
}

 The dataset includes 207 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008170-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/tb8-ynw-fbb
title: Quercus L.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wsd-2dw-5ct
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.57837/actris-ares/a25s-d332
title: ACTRIS-EARLINET 2025 particle depolarization ratio profiles at 1064nm over POT Potenza-Italy

description: ACTRIS-EARLINET 2025 particle depolarization ratio profiles at 1064nm over POT Potenza-Italy.
This dataset collects all the particle depolarization ratio profiles at 1064nm collected in 2025 at the aerosol remote sensing POT station (Potenza – Italy). Related files also contain volume depolarization ratio profiles at the same wavelength. This dataset is incremental: data collected in 2025 are added as soon as a new observation is collected in 2025 and added to the ACTRIS/EARLINET database.
DOI: 10.3535/mjz-3bb-rcd
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nq2-t77-zky
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pry-q12-qeb
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mjk-adx-sx8
title: Phyllolepidum Trinajstic

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mw4-d2h-fdj
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bbh-qgs-mfb
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/g47-77c-gs1
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h8n-jdd-mrt
title: Rusa C. H. Smith, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rxz-bdv-121
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ppz-h0k-sqh
title: Orthiopteris Copel.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/a7d-bdy-jam
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qt8-tl6-gsd
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6bg-95f-qf4
title: Muntiacus muntjak (Zimmermann, 1780)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mn1-755-e9d
title: Sus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rg6-p2b-q2d
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x19-f1x-san
title: Elephas maximus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0qa-g8c-eje
title: Bovidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2x2-0bl-y62
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hey-0lt-my1
title: Sus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ksb-hj6-hn3
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l7h-rcx-80h
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/aeb-lrm-63b
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jdt-act-nmv
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6sk-a6g-yck
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ee3-k5l-v20
title: Bovidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2pk-wgf-e8c
title: Bovidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/b8l-raa-4kg
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1nq-4ye-42g
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4hy-zdl-m0z
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gb8-mqv-49c
title: Bovidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/byl-9qm-9p9
title: Bovidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/shr-q4b-06n
title: Voacanga Thouars

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7q6-h2n-f7y
title: Sus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vf0-t6f-qfq
title: Voacanga Thouars

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.f28qyv
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bidens pilosa",
 "Country is Dominican Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023614-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/3w5-ehe-vlz
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s8l-xj0-gfb
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xtl-kak-t75
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/b82-s3v-vsa
title: Macaca Lacépède, 1799

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fbk-tnl-78f
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.z3gvgp
title: Occurrence Download

description: A dataset containing 8485 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acacia baileyana F.Muell."
 ]
}

 The dataset includes 8485 records from 211 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031071-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57830/2311148
title: Anuran Monitoring in Southeast Coast Network Parks: 2012 Data Summary for Horseshoe Bend National Military Park

description: The National Park Service (NPS) operates 32 Inventory & Monitoring (I&M) networks across the United States encompassing over 280 parks. Each I&M network has established "vital signs" monitoring in its parks. These vital signs represent elements and processes in park ecosystems that help indicate the overall condition of park resources. Network personnel monitor physical resources and processes (e.g., shoreline erosion or water quality), biological attributes (e.g., wildlife and vegetation communities), and ecological processes (such as disturbance and productivity). The Southeast Coast Network (SECN) contains 15 parks containing natural resources, located in Alabama, Florida, Georgia, North Carolina, and South Carolina.  Each spring, SECN collects audio recording data during implementation of the SECN's Vocal Anuran Community Monitoring Protocol. Automated recording devices (ARDs) are used to capture anuran vocalizations every fourth night between March and June at up to 30 spatially-balanced random sampling locations per park. Five of the SECN's 15 parks are sampled each year on a three-year rotation. All discernable anuran vocalizations are reviewed in selected recordings and classified to species. The brief(s) contained in this repository address the following protocol objectives: (1) evaluate status of anuran community species richness during the spring breeding season and (2) assess anuran occupancy and spatial distribution at sampling locations during the breeding season.
DOI: 10.6084/m9.figshare.23060428
title: Immune reconstitution efficacy after combination antiretroviral therapy in male HIV-1 infected patients with homosexual and heterosexual transmission

description: We aimed to explore the impact of sexual transmission modes on immune reconstitution after combined antiretroviral therapy (cART). We have retrospectively analyzed longitudinal samples from 1557 treated male patients with virological suppression (HIV-1 RNA &lt; 50 copies/ml) for at least 2 years. Both heterosexuals (HET) and men who have sex with men (MSM) patients showed an increasing annual trend in CD4<sup>+</sup> T cell counts after receiving cART (HET, β: 23.51 (cell/µl)/year, 95% CI: 16.70–30.31; MSM, β: 40.21 (cell/µl)/year, 95% CI: 35.82–44.61). However, the CD4<sup>+</sup> T cell recovery rate was much lower in HET patients than MSM patients, determined by both the generalized additive mixed model (<i>P</i> &lt; 0.001) and generalized estimating equations (<i>P</i> = 0.026). Besides HIV-1 subtypes, baseline CD4<sup>+</sup> T cell counts and age at cART initiation, HET was an independent risk factor for immunological non-responders (adjusted OR: 1.73; 95% CI: 1.28–2.33). HET was also associated with lower probability of achieving conventional immune recovery (adjusted HR: 1.37; 95%CI: 1.22–1.67) and optimal immune recovery (adjusted HR: 1.48, 95%CI: 1.04-2.11). Male HET patients might have poorer immune reconstitution ability even after effective cART. Early initiation of cART after diagnosis and clinical monitoring for male HET patients should be highly emphasized.
DOI: 10.6084/m9.figshare.23060428.v2
title: Immune reconstitution efficacy after combination antiretroviral therapy in male HIV-1 infected patients with homosexual and heterosexual transmission

description: We aimed to explore the impact of sexual transmission modes on immune reconstitution after combined antiretroviral therapy (cART). We have retrospectively analyzed longitudinal samples from 1557 treated male patients with virological suppression (HIV-1 RNA &lt; 50 copies/ml) for at least 2 years. Both heterosexuals (HET) and men who have sex with men (MSM) patients showed an increasing annual trend in CD4<sup>+</sup> T cell counts after receiving cART (HET, β: 23.51 (cell/µl)/year, 95% CI: 16.70–30.31; MSM, β: 40.21 (cell/µl)/year, 95% CI: 35.82–44.61). However, the CD4<sup>+</sup> T cell recovery rate was much lower in HET patients than MSM patients, determined by both the generalized additive mixed model (<i>P</i> &lt; 0.001) and generalized estimating equations (<i>P</i> = 0.026). Besides HIV-1 subtypes, baseline CD4<sup>+</sup> T cell counts and age at cART initiation, HET was an independent risk factor for immunological non-responders (adjusted OR: 1.73; 95% CI: 1.28–2.33). HET was also associated with lower probability of achieving conventional immune recovery (adjusted HR: 1.37; 95%CI: 1.22–1.67) and optimal immune recovery (adjusted HR: 1.48, 95%CI: 1.04-2.11). Male HET patients might have poorer immune reconstitution ability even after effective cART. Early initiation of cART after diagnosis and clinical monitoring for male HET patients should be highly emphasized.
DOI: 10.6084/m9.figshare.21548198
title: Offspring affected with <i>in utero</i> Zika virus infection retain molecular footprints in the bone marrow and blood cells

description: Congenital virus infections, for example cytomegalovirus and rubella virus infections, commonly affect the central nervous and hematological systems in fetuses and offspring. However, interactions between emerging congenital Zika virus and hematological system—bone marrow and blood—in fetuses and offspring are mainly unknown. Our overall goal was to determine whether silent <i>in utero</i> Zika virus infection can cause functional and molecular footprints in the bone marrow and blood of fetuses and offspring. We specifically focused on silent fetal infection because delayed health complications in initially asymptomatic offspring were previously demonstrated in animal and human studies. Using a well-established porcine model for Zika virus infection and a set of cellular and molecular experimental tools, we showed that silent <i>in utero</i> infection causes multi-organ inflammation in fetuses and local inflammation in the fetal bone marrow. <i>In utero</i> infection also caused footprints in the offspring bone marrow and PBMCs. These findings should be considered in a broader clinical context because of growing concerns about health sequelae in cohorts of children affected with congenital Zika virus infection in the Americas. Understanding virus-induced molecular mechanisms of immune activation and inflammation in fetuses may provide targets for early <i>in utero</i> interventions. Also, identifying early biomarkers of <i>in utero</i>-acquired immunopathology in offspring may help to alleviate long-term sequelae.
DOI: 10.6084/m9.figshare.21548198.v2
title: Offspring affected with <i>in utero</i> Zika virus infection retain molecular footprints in the bone marrow and blood cells

description: Congenital virus infections, for example cytomegalovirus and rubella virus infections, commonly affect the central nervous and hematological systems in fetuses and offspring. However, interactions between emerging congenital Zika virus and hematological system—bone marrow and blood—in fetuses and offspring are mainly unknown. Our overall goal was to determine whether silent <i>in utero</i> Zika virus infection can cause functional and molecular footprints in the bone marrow and blood of fetuses and offspring. We specifically focused on silent fetal infection because delayed health complications in initially asymptomatic offspring were previously demonstrated in animal and human studies. Using a well-established porcine model for Zika virus infection and a set of cellular and molecular experimental tools, we showed that silent <i>in utero</i> infection causes multi-organ inflammation in fetuses and local inflammation in the fetal bone marrow. <i>In utero</i> infection also caused footprints in the offspring bone marrow and PBMCs. These findings should be considered in a broader clinical context because of growing concerns about health sequelae in cohorts of children affected with congenital Zika virus infection in the Americas. Understanding virus-induced molecular mechanisms of immune activation and inflammation in fetuses may provide targets for early <i>in utero</i> interventions. Also, identifying early biomarkers of <i>in utero</i>-acquired immunopathology in offspring may help to alleviate long-term sequelae.
DOI: 10.15468/dl.qxxupc
title: Occurrence Download

description: A dataset listing the 298943 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 298943 records were derived from 4369 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031049-250426092105405/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.31065364
title: Microbiome Spillover Interface Project

description: <b>Title:</b> Microbiome insights into zoonotic risk at wildlife-human interfaces in a transitioning landscape in Thailand<b>Abstract</b><br>Land-use change is accelerating worldwide and is one of the strongest predictors of emerging zoonotic disease. These ecological transitions can disrupt host microbiomes, change pathogen carriage, and create novel opportunities for spillover at wildlife–livestock–human interfaces. Yet, little is known about how reforestation landscapes influence microbiome diversity and the distribution of zoonotic bacteria in key reservoir hosts such as bats, rodents, tree-shrews and domestic dogs. We characterized the rectal microbiome of bats, rodents, and domestic dogs sampled across a land-use gradient in Nan Province, Thailand, spanning caves, forests, reforestation, plantations, and village habitats. Full-length 16S rRNA sequencing was used to assess host- and habitat-specific patterns at the bacteria species-level. Pathogen-associated taxa were identified, and their potential transmission pathways were explored using network analysis and qPCR validation targeting <i>Salmonella</i> spp. From 102 samples, 1,816 taxa were identified, including 354 documented human pathogens. HMSC models confirmed that host species explained far more variation in pathogen occurrences than habitat type, with dogs, <i>Menetus berdmorei</i>, and <i>Scotophilus heathii</i> exhibiting particularly high pathogen diversity. Domestic dogs also displayed high network centrality and move freely across habitats, positioning them as key bridging host. <i>Salmonella</i> screening detected both <i>S. enterica</i> (serovars Newport/Typhimurium) and the reptile-associated <i>S. bongori</i>, the latter unexpectedly in bats and rodents, with variable concordance between metabarcoding and qPCR results. Our findings demonstrate that host identity, more than habitat type, structures pathogen-associated microbiomes across a reforestation landscape. Understanding these dynamics is essential to anticipate pathogen flow and strengthen One Health surveillance.<br>This dataset provide microbiome and metadata information for phyloseq object generation and relevant R scripts for data analysis of the projet. The abundance reads are post-rarefaction at 8000 reads threshold.
DOI: 10.6084/m9.figshare.31065364.v1
title: Microbiome Spillover Interface Project

description: <b>Title:</b> Microbiome insights into zoonotic risk at wildlife-human interfaces in a transitioning landscape in Thailand<b>Abstract</b><br>Land-use change is accelerating worldwide and is one of the strongest predictors of emerging zoonotic disease. These ecological transitions can disrupt host microbiomes, change pathogen carriage, and create novel opportunities for spillover at wildlife–livestock–human interfaces. Yet, little is known about how reforestation landscapes influence microbiome diversity and the distribution of zoonotic bacteria in key reservoir hosts such as bats, rodents, tree-shrews and domestic dogs. We characterized the rectal microbiome of bats, rodents, and domestic dogs sampled across a land-use gradient in Nan Province, Thailand, spanning caves, forests, reforestation, plantations, and village habitats. Full-length 16S rRNA sequencing was used to assess host- and habitat-specific patterns at the bacteria species-level. Pathogen-associated taxa were identified, and their potential transmission pathways were explored using network analysis and qPCR validation targeting <i>Salmonella</i> spp. From 102 samples, 1,816 taxa were identified, including 354 documented human pathogens. HMSC models confirmed that host species explained far more variation in pathogen occurrences than habitat type, with dogs, <i>Menetus berdmorei</i>, and <i>Scotophilus heathii</i> exhibiting particularly high pathogen diversity. Domestic dogs also displayed high network centrality and move freely across habitats, positioning them as key bridging host. <i>Salmonella</i> screening detected both <i>S. enterica</i> (serovars Newport/Typhimurium) and the reptile-associated <i>S. bongori</i>, the latter unexpectedly in bats and rodents, with variable concordance between metabarcoding and qPCR results. Our findings demonstrate that host identity, more than habitat type, structures pathogen-associated microbiomes across a reforestation landscape. Understanding these dynamics is essential to anticipate pathogen flow and strengthen One Health surveillance.<br>This dataset provide microbiome and metadata information for phyloseq object generation for data analysis of the projet. The abundance reads are post-rarefaction at 8000 reads threshold.