cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/key-5w2-f3y
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t1p-db4-day
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/70t-p5m-wdh
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/syh-0wc-4em
title: †Lepidocyclina Gümbel, 1870

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fzl-hg8-68y
title: Orthiopteris Copel.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/m9e-f51-y5k
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9jj-7xe-g4b
title: Orthiopteris Copel.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l99-csq-y26
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.39v9vr
title: Occurrence Download

description: A dataset containing 360 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Steindachnerina insculpta)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 360 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023628-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/dj6-yh2-k3a
title: †Halkyardia Heron-Allen & Earland, 1918

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xl6-nmr-qsn
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/esd-mfn-rwt
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5fh-b97-479
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zzx-7e2-69n
title: †Anthracosia regularis (Trueman, 1929)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.qe55t8
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bidens pilosa",
 "Country is Fiji",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023629-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/39p-np1-d1y
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tn9-rw9-fcf
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t1v-ffp-xdz
title: †Nummulites Lamarck, 1801

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6k1-vb8-hfl
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fxd-0aq-3nh
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/htl-qs0-rrx
title: Heterostegina d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xby-0vq-n14
title: Orthiopteris Copel.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1wx-2e7-np4
title: Isatis L.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/759-wtv-lqp
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/b7v-axm-sr7
title: †Naiadites productus (T. Brown, 1849)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1br-pxl-s7n
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8nf-54n-jd0
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1vc-hqy-h2k
title: Maianthemum F.H.Wigg.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x3p-7rd-yql
title: Voacanga Thouars

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rbt-t20-jzq
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sev-hsc-5yh
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s17-27e-073
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.18244842
title: Aspilia setosa Griseb. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244843
title: Aspilia setosa Griseb. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244818
title: LINF_310017500

description: TMP21-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.18244819
title: LINF_310017500

description: TMP21-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.5258/soton/wp00875
title: Modelled gridded population estimates for Tanganyika Province in the Democratic Republic of Congo version 4.4.

description: This data release provides gridded population estimates (spatial resolution of 3 arc-seconds, approximately 100-metre grid cells) for Tanganyika province in the Democratic Republic of Congo (DRC), along with estimates of the number of people belonging to various age-sex groups. The project team used the Pre-Distribution Registration Survey (PDRS) data from the National Malaria Control Programme (PNLP) collected as part of anti-malarial campaigns in the DRC for 2023, settlement extent and geospatial covariates to model and estimate population numbers at grid cell level using a Bayesian statistical hierarchical modelling framework. The approach facilitated simultaneous accounting for the multiple levels of variability within the data. It also allowed the quantification of uncertainties in parameter estimates. These model-based population estimates can be considered as most accurately representing the year 2023. This time period corresponds to the PDRS survey date for Tanganyika. Although the methods were robust enough to explicitly account for key random biases within the datasets, it is noted that systematic biases, which may arise from sources other than random errors within the observed data collection process, remain.

These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 – Phase 2 scaling project, with funding from the Gates Foundation (INV-044979). Project partners included GRID3 Inc, the Center for Integrated Earth System Information (CIESIN) within the Columbia Climate School at Columbia University, and WorldPop at the University of Southampton. The final statistical modelling was designed, developed, and implemented by Chris Nnanatu. Data processing was done by Ortis Yankey and Amy Bonnie with additional support from Tom Abbott and Heather Chamberlain. Project oversight was done by Attila Lazar and Andy Tatem. The PDRS data from the malaria insecticide treated net (ITN) distribution campaigns was collected, processed, anonymised and shared by the PNLP and its implementing partners. The settlement extent data was prepared and shared by CIESIN (2024). The data has been clipped to GRID3-CIESIN health area extent (version 8.0) (CIESIN, 2025).
DOI: 10.5281/zenodo.18244846
title: Aspilia silphioides (Hook. & Arn.) Benth. & Hook.f. ex Baker. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244845
title: Aspilia silphioides (Hook. & Arn.) Benth. & Hook.f. ex Baker. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244857
title: Aster L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244858
title: Aster L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.6084/m9.figshare.31066543
title: <b>pcr</b>

description: Aeromonas hydrophila (A. hydrophila) is a major pathogen responsible for bacterial enteritis in aquaculture, highlighting the urgent need to develop green and efficient antibiotic alternatives.
DOI: 10.6084/m9.figshare.31066543.v1
title: <b>pcr</b>

description: Aeromonas hydrophila (A. hydrophila) is a major pathogen responsible for bacterial enteritis in aquaculture, highlighting the urgent need to develop green and efficient antibiotic alternatives.
DOI: 10.25574/32098
title: Chandra X-ray Observatory ObsId 32098

description: X-RAY SURVEYING RADIO-LOUD ACTIVE GALAXIES AND THEIR LARGE-SCALE ENVIRONMENTS
DOI: 10.6084/m9.figshare.31066558
title: data

description: This study systematically evaluated the relative efficacy of five intervention methods—remote closed-loop training, remote brain-computer interface, remote exoskeleton rehabilitation, remote virtual reality, and remote home therapy—in stroke rehabilitation based on existing clinical evidence. Analysis revealed distinct advantages across functional domains: virtual reality significantly improved gait and upper limb function; brain-computer interfaces demonstrated optimal effects on fine motor control; and exoskeleton training notably enhanced patients' quality of life. These findings not only enrich the evidence base for telerehabilitation but also provide crucial guidance for precision matching of rehabilitation goals and personalized treatment planning in clinical practice.
DOI: 10.6084/m9.figshare.31066558.v1
title: data

description: This study systematically evaluated the relative efficacy of five intervention methods—remote closed-loop training, remote brain-computer interface, remote exoskeleton rehabilitation, remote virtual reality, and remote home therapy—in stroke rehabilitation based on existing clinical evidence. Analysis revealed distinct advantages across functional domains: virtual reality significantly improved gait and upper limb function; brain-computer interfaces demonstrated optimal effects on fine motor control; and exoskeleton training notably enhanced patients' quality of life. These findings not only enrich the evidence base for telerehabilitation but also provide crucial guidance for precision matching of rehabilitation goals and personalized treatment planning in clinical practice.
DOI: 10.5281/zenodo.18244862
title: Aster argentinensis Cabrera. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244863
title: Aster argentinensis Cabrera. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:42
DOI: 10.5281/zenodo.18244852
title: ARAB VA O'ZBEK TILIDAGI "QIZIL" LEKSEMASINING LINGVISTIK TAHLILI

description: Mazkur maqolada arab va o‘zbek tillaridagi “qizil” rangini ifodalovchi leksemaning lingvistik xususiyatlari qiyosiy tahlil qilinadi. Tadqiqotda rang bildiruvchi birliklarning leksik-semantik mazmuni, etimologik kelib chiqishi, stilistik va madaniy-ma’naviy yuklamasi hamda frazeologik qo‘llanilishi yoritilgan. Arab tilidagi aḥmar va o‘zbek tilidagi qizil leksemalarining tarixiy shakllanishi, ularning semantik kengayishi va ramziy ma’nolari tilshunoslik nuqtayi nazaridan izohlanadi. Shuningdek, rang leksemalarining badiiy va publitsistik matnlardagi funksional imkoniyatlari tahlil qilinadi. Tadqiqot natijalari rang nomlarining til va madaniyat o‘rtasidagi uzviy bog‘liqligini ochib beradi hamda qiyosiy tilshunoslik uchun muhim xulosalar chiqarishga xizmat qiladi.
DOI: 10.5281/zenodo.18244851
title: ARAB VA O'ZBEK TILIDAGI "QIZIL" LEKSEMASINING LINGVISTIK TAHLILI

description: Mazkur maqolada arab va o‘zbek tillaridagi “qizil” rangini ifodalovchi leksemaning lingvistik xususiyatlari qiyosiy tahlil qilinadi. Tadqiqotda rang bildiruvchi birliklarning leksik-semantik mazmuni, etimologik kelib chiqishi, stilistik va madaniy-ma’naviy yuklamasi hamda frazeologik qo‘llanilishi yoritilgan. Arab tilidagi aḥmar va o‘zbek tilidagi qizil leksemalarining tarixiy shakllanishi, ularning semantik kengayishi va ramziy ma’nolari tilshunoslik nuqtayi nazaridan izohlanadi. Shuningdek, rang leksemalarining badiiy va publitsistik matnlardagi funksional imkoniyatlari tahlil qilinadi. Tadqiqot natijalari rang nomlarining til va madaniyat o‘rtasidagi uzviy bog‘liqligini ochib beradi hamda qiyosiy tilshunoslik uchun muhim xulosalar chiqarishga xizmat qiladi.
DOI: 10.5258/soton/wp00876
title: Modelled gridded population estimates for Tshopo Province in the Democratic Republic of Congo version 4.4.

description: This data release provides gridded population estimates (spatial resolution of 3 arc-seconds, approximately 100-metre grid cells) for Tshopo Province in the Democratic Republic of Congo (DRC), along with estimates of the number of people belonging to various age-sex groups. The project team used the Pre-Distribution Registration Survey (PDRS) data from the National Malaria Control Programme (PNLP) collected as part of anti-malarial campaigns in the DRC for 2023, settlement extents and geospatial covariates to model and estimate population numbers at grid cell level using a Bayesian statistical hierarchical modelling framework. The approach facilitated simultaneous accounting for the multiple levels of variability within the data. It also allowed the quantification of uncertainties in parameter estimates. These model-based population estimates can be considered as most accurately representing the year 2023. This time period corresponds to the PDRS survey date for Tshopo. Although the methods were robust enough to explicitly account for key random biases within the datasets, it is noted that systematic biases, which may arise from sources other than random errors within the observed data collection process, are most likely to remain.

These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 – Phase 2 Scaling project, with funding from the Gates Foundation (INV-044979). Project partners included GRID3 Inc, the Center for Integrated Earth System Information (CIESIN) within the Columbia Climate School at Columbia University, and WorldPop at the University of Southampton. The final statistical modelling was designed, developed, and implemented by Mohamed Megheib with support from Ortis Yankey. Data processing was done by Mohamed Megheib and Tom Abbott with additional support from Heather Chamberlain. Project oversight was done by Attila Lazar, Chris Nnanatu and Andy Tatem. The PDRS data from the malaria insecticide treated net (ITN) distribution campaigns were collected, processed, anonymised and shared by the PNLP and its implementing partners. The settlement extent data was prepared and shared by CIESIN (2024). The data has been clipped to GRID3-CIESIN health area extent (version 8.0) (CIESIN, 2025).
DOI: 10.26008/1912/bco-dmo.859990.7
title: Discrete bottle data from Hydrostation S in the Sargasso Sea from January 1955 through June 2025

description: Data presented here are discrete bottle samples from the Hydrostation S (or Panulirus) time series site located 20 km SE of Bermuda (32°10’N, 64°30’W) in the Sargasso Sea for January 1955 (cruise #60009) through June 2025 (cruise #61501). Measurements were collected at near biweekly intervals where possible depending on weather and ship availability. Prior to the arrival of Weatherbird I in 1983, station occupation during winter months was limited due to the sea-going capabilities of the former vessels. The standard sample parameter list has been mostly consistent for the full time-series record and includes temperature, salinity, and dissolved oxygen. Since October 1988 (cruise #60643), data and samples have been collected using a SeaBird 911+ CTD and integrated Niskin rosette system. The largest data gap of almost one year was due to the loss of all the Niskin bottles and reversing thermometers following a break in the hydro wire on station #463 (April 1979).
DOI: 10.5258/soton/wp00877
title: Modelled gridded population estimates for Tshuapa Province in the Democratic Republic of Congo, version 4.4.

description: This data release provides gridded population estimates (spatial resolution of 3 arc-seconds, approximately 100 m grid cells) for Tshuapa Province in the Democratic Republic of Congo (DRC), along with estimates of the number of people belonging to various age-sex groups. The project team used the Pre-Distribution Registration Survey (PDRS) data from the National Malaria Control Programme (PNLP) collected as part of anti-malarial campaigns in the Democratic Republic of the Congo for 2023, settlement footprints and geospatial covariates to model and estimate population numbers at grid cell level using a Bayesian statistical hierarchical modelling framework. The approach facilitated simultaneous accounting for the multiple levels of variability within the data. It also allowed the quantification of uncertainties in parameter estimates. These model-based population estimates can be considered as most accurately representing the year 2023. This time period corresponds to the PDRS survey date for Tshuapa. Although the methods were robust enough to explicitly account for key random biases within the datasets, it is noted that systematic biases, which may arise from sources other than random errors within the observed data collection process, are most likely to remain.

These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 – Phase 2 Scaling project, with funding from the Bill & Melinda Gates Foundation (INV-044979). Project partners included GRID3, the Center for Integrated Earth System Information (CIESIN) within the Columbia Climate School at Columbia University, and WorldPop at the University of Southampton. The final statistical modelling was designed, developed, and implemented by Ortis Yankey. Data processing was done by Ortis Yankey with additional support from Heather Chamberlain. Project oversight was done by Chris Nnanatu, Attila Lazar, and Andy Tatem. The PDRS data from the malaria insecticide treated net (ITN) distribution campaigns were collected, processed, anonymised, and shared by the PNLP and its implementing partners. The settlement footprint data was prepared and shared by CIESIN (2024). The data has been clipped to GRID3-CIESIN health area extent (version 8.0) (CIESIN, 2025).
DOI: 10.6084/m9.figshare.31066583
title: Modulating Chikungunya and Mayaro virus-induced disease severity in mice using low concentrations of anti-IFNAR1 antibodies

description: The laboratory mouse (<i>Mus musculus</i>) is the most widely used animal model for preclinical research, with numerous wild-type and genetically modified mouse strains available. Chikungunya virus (CHIKV), a mosquito-borne arthritogenic alphavirus, has emerged in various new regions and caused several millions of cases within the last decade. Mayaro virus (MAYV), an arthritogenic alphaviruses closely related to CHIKV, remains geographically restricted to the Americas. Existing mouse models rely on immunodeficient mice, leading to lethal illness, or footpad injection, which induces localized arthropathy. We present a proof-of-concept study demonstrating how disease severity in mice can be modulated using sub-neutralizing concentrations of an interferon 1 receptor (IFNAR1) blocking monoclonal antibody (mAb). C57BL/6 mice were injected intraperitoneally with varying anti-IFNAR1 antibody doses before intraperitoneal infection with CHIKV or MAYV. For both, CHIKV and MAYV, we observed an anti-IFNAR1 mAb dose-dependent increase in blood viral loads and disease severity. A 1mg dose induced severe disease, whereas a 0.1 mg dose resulted in moderate symptoms in mice, mainly facial pain expression signs, accompanied by detectable viremia in the days preceding symptom onset. Viral loads in organs and serum concentrations of inflammatory cytokines and chemokines were also elevated in mice receiving 0.1mg anti-IFNAR1 mAb. In conclusion, we provide proof of concept that CHIKV and MAYV disease severity can be modulated using low concentrations of anti-IFNAR1 mAb. We used this approach to develop a new infection model for mild systemic disease, based on an accessible strain and a commercial antibody allowing for easy implementation and adaptation.