cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/bqe-90g-ynt
title: Pseudonebularia doliolum (Küster, 1839)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/a64-d8m-eny
title: Olivella Swainson, 1831

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rfa-1rh-25x
title: Siphonaria gigas G. B. Sowerby I, 1825

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kfq-yn1-bfq
title: Tritia pellucida (Risso, 1826)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wqr-rq5-ses
title: Umbraculum umbraculum ([Lightfoot], 1786)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9ja-app-0pk
title: Roxaniella jeffreysi (Weinkauff, 1866)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/srz-q4z-z2v
title: Conus striatellus Link, 1807

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5hp-r3z-x04
title: Conus obscurus G. B. Sowerby I, 1833

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lr7-ptf-6c3
title: Pyrgostylus striatulus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0pz-99l-8z1
title: Conus natalis G. B. Sowerby II, 1858

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ee4-4eq-16s
title: Volema pyrum (Gmelin, 1791)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6vh-rwf-pd2
title: Latirus abnormis G. B. Sowerby III, 1894

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/83a-wzg-0j0
title: Conus purissimus Filmer, 2011

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6gc-y8q-mp4
title: Isara chalybeia (Reeve, 1844)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e8z-fgb-402
title: Conasprella ximenes (Gray, 1839)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4v3-jf7-ssn
title: Mitridae Swainson, 1831

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qxh-xst-njc
title: Mangelia costata (Pennant, 1777)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jg1-vy1-gnd
title: Vexillum vulpecula (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ynk-g3q-0x7
title: Conus chytreus Tryon, 1884

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8ec-bpm-8cw
title: Turbonilla Risso, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h2b-yfw-3e3
title: Leucophytia bidentata (Montagu, 1808)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/add-scb-ymw
title: Nassarius reeveanus (Dunker, 1847)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bwn-b0k-1yp
title: Siphonaria siquijorensis Reeve, 1856

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nls-3ys-844
title: Crenilabium exile (Jeffreys, 1870)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nyf-b3y-j3n
title: Colubraria tortuosa (Reeve, 1844)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zzt-8qt-fhp
title: Olivella tergina (Duclos, 1835)

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

description: A dataset containing 426076 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Jacobaea vulgaris",
 "Year 1957-2022"
 ]
}

 The dataset includes 426076 records from 1898 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002011-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10822253
title: Database for "Automatic Detection of Instream Large Wood in Videos Using Deep Learning"

description: The database contains 21 datasets. Each dataset consists of a folder ('jpgs') with images and a folder  ('txts') with detections according to the YOLO standard.
DOI: 10.5281/zenodo.10822254
title: Database for "Automatic Detection of Instream Large Wood in Videos Using Deep Learning"
DOI: 10.5281/zenodo.10869058
title: Database for "Automatic Detection of Instream Large Wood in Videos Using Deep Learning"

description: The database contains 21 datasets. Each dataset consists of a folder ('jpgs') with images and a folder  ('txts') with detections according to the YOLO standard.
DOI: 10.15468/dl.8m7s9u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"UZB.1.14_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007342-260108223611665/datasets/export for details.
DOI: 10.5281/zenodo.13769236
title: Automated search for globular clusters in the Milky Way: Discovery of 59 new globular cluster candidates in Gaia DR3

description: The data are comprised of the members of 59 globular cluster candidates and 18 known star clusters. The data features all the main columns from Gaia DR3, as well as HDBSCAN-derived probability memberships [given by hdb_prob_mem]. The format of each file is .ecsv and can easily be accessed using libraries such as astropy. We also added a .tar.gz file that contains visualisations of all the clusters. The naming convention of each file is as follows [cname]_[subd]_[mcls]_[lbl], where cname is the name of the cluster; subd refers to the name of subdivision, in the larger 100deg^2 region,  where the cluster was searched; mcls is the specific HDBSCAN min_cluster_size hyperparameter used for the search; and label is the cluster label retrieved by HDBSCAN.
DOI: 10.21233/f6p9-k023
title: NLA06608-0284 diatom surface sample dataset

description: Raw data for the NLA06608-0284 diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/393n-mk72
title: LDDsite2862 ostracode surface sample dataset

description: Raw data for the LDDsite2862 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.25442/hku.28891298
title: Supporting files for thesis "Deep-learning-based Morphological Modelling: Case Study in Soft Robot Control, Shape Sensing and Deformation"

description: The main focus of this thesis is to develop appropriate morphology modelling strategies for typical deformable structures by integrating physics-aligned prior knowledge and deep learning algorithms. To perform accurate control for soft continuum robots, a reinforcement-learning (RL)-based framework is proposed, which integrates conventional piecewise curvature constant (PCC) model and adaptive learning strategies. The algorithm of deep deterministic policy gradient (DDPG) along with domain randomization and offline retraining facilitates fast initialization and stable path following, even under varying tip load, demonstrating its advantages over Jacobian model-based and supervised-learning-based control methods. Not only tube-like soft robots, this thesis also endeavors to enhance the proprioception capabilities of soft flexible surfaces. A real-time shape sensing framework is proposed that combines finite element analysis (FEA) with autoregressive deep learning, requiring only sparsely distributed sensor nodes to predict continuous high-order complex 3D shapes. The cost-effective optical waveguide is utilized to detect the light loss induced by surface deformation. While sharing similarities with thin surfaces in terms of structure, cloth presents unique challenges due to its hyper flexibility and lack of adhesive sensing capabilities. To achieve real-time shape prediction of the cloth when in contact with human bodies or obstacles, a framework based on graph-neural-networks (GNNs) is introduced. Leveraging graph structure and spiral graph convolution, this approach facilitates efficient processing of high-dimensional cloth data while preserving essential geometry information. Additionally, a real fabric motion capture system is developed to establish a real 3D cloth library, aiding research on fabric deformation. Considering 2D images are more accessible and common compared to 3D topology data, this thesis also investigates soft tissue modelling via medical images. To explore the hidden tissue properties through ultrasound B-mode images, a framework that incorporates U-Net and ultrasound propagation physics is proposed. The framework can estimate physics-aligned tissue properties which characterize ultrasound attenuation, reflection and backscattering, thereby showing potential for enhancing soft tissue deformation modelling.<br><br>
DOI: 10.25442/hku.28891298.v1
title: Supporting files for thesis "Deep-learning-based Morphological Modelling: Case Study in Soft Robot Control, Shape Sensing and Deformation"

description: The main focus of this thesis is to develop appropriate morphology modelling strategies for typical deformable structures by integrating physics-aligned prior knowledge and deep learning algorithms. To perform accurate control for soft continuum robots, a reinforcement-learning (RL)-based framework is proposed, which integrates conventional piecewise curvature constant (PCC) model and adaptive learning strategies. The algorithm of deep deterministic policy gradient (DDPG) along with domain randomization and offline retraining facilitates fast initialization and stable path following, even under varying tip load, demonstrating its advantages over Jacobian model-based and supervised-learning-based control methods. Not only tube-like soft robots, this thesis also endeavors to enhance the proprioception capabilities of soft flexible surfaces. A real-time shape sensing framework is proposed that combines finite element analysis (FEA) with autoregressive deep learning, requiring only sparsely distributed sensor nodes to predict continuous high-order complex 3D shapes. The cost-effective optical waveguide is utilized to detect the light loss induced by surface deformation. While sharing similarities with thin surfaces in terms of structure, cloth presents unique challenges due to its hyper flexibility and lack of adhesive sensing capabilities. To achieve real-time shape prediction of the cloth when in contact with human bodies or obstacles, a framework based on graph-neural-networks (GNNs) is introduced. Leveraging graph structure and spiral graph convolution, this approach facilitates efficient processing of high-dimensional cloth data while preserving essential geometry information. Additionally, a real fabric motion capture system is developed to establish a real 3D cloth library, aiding research on fabric deformation. Considering 2D images are more accessible and common compared to 3D topology data, this thesis also investigates soft tissue modelling via medical images. To explore the hidden tissue properties through ultrasound B-mode images, a framework that incorporates U-Net and ultrasound propagation physics is proposed. The framework can estimate physics-aligned tissue properties which characterize ultrasound attenuation, reflection and backscattering, thereby showing potential for enhancing soft tissue deformation modelling.<br><br>
DOI: 10.21233/28w2-bn35
title: Tranquility [UCMPV44001] vertebrate fauna dataset

description: Raw data for the Tranquility [UCMPV44001] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/t0t8-5t95
title: Mount Evans Surface Sample 2926 m pollen surface sample dataset

description: Raw data for the Mount Evans Surface Sample 2926 m pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.fva3yz
title: Occurrence Download

description: A dataset listing the 2318 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Andes to Amazon Biodiversity Program"
 ]
}

 The dataset's 2318 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022577-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/yvgz-8a74
title: Masaklettar testate amoebae surface sample dataset

description: Raw data for the Masaklettar testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/v3v5-jy06
title: Sources du Tarn pollen dataset

description: Raw data for the Sources du Tarn pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/b3de-8e62
title: Wally Creek testate amoebae surface sample dataset

description: Raw data for the Wally Creek testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.uy5sqa
title: Occurrence Download

description: A dataset containing 1184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((114 34,123 34,123 39,114 39,114 34))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Egretta garzetta (Linnaeus, 1766)"
 ]
}

 The dataset includes 1184 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022585-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ekv8gq
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Spigelia anthelmia L."
 ]
}

 The dataset's 1 records were derived from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022578-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/z5jt-3s83
title: Sundown Pass Bog pollen surface sample dataset

description: Raw data for the Sundown Pass Bog pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/b1sc-f731
title: Young Creek ostracode surface sample dataset

description: Raw data for the Young Creek ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/n34n-ed63
title: Wall's Farm water chemistry dataset

description: Raw data for the Wall's Farm water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/mkam-4478
title: Site 6, Georgian Bay, Canadian Hydrographic Service pollen surface sample dataset

description: Raw data for the Site 6, Georgian Bay, Canadian Hydrographic Service pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.apbjha
title: Occurrence Download

description: A dataset containing 1880613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "OccurrenceStatus is Present",
 "TaxonKey is Thamnophilidae"
 ]
}

 The dataset includes 1880613 records from 677 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022573-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/n1s0-2491
title: LDDsite3743 ostracode surface sample dataset

description: Raw data for the LDDsite3743 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.15368013
title: Genomic Characterization of a Post-Omicron Recombinant SARS-CoV-2 Strain: Transition from BA.1 to BA.5 Using Public Data (SRR32480181)

description: This study presents computational analysis of a recombinant SARS-CoV-2 isolate derived from publicly available FASTQ data (SRR32480181) submitted by Ginkgo Bioworks. The genome shows evidence of recombination between Omicron BA.1 and BA.5 subvariants based on RDP5 and MAFFT alignment.




Sample
SRR32480181


Strain
hCoV-19/USA/VA-GBW-GKISBBBF25035/2025


Clade (Nextclade)
24H (LF.7)


Pango Lineage
LF.7.3


Recombinant Signal
BA.1 + BA.5 hybrid pattern


Breakpoint Region
~Position 11,200–11,300


GenBank Submission
Submitted via NCBI Portal




Key Mutations Identified

Unique mutations detected using iVar variant calling at ≥5% allele frequency threshold.

RdRp (nsp12):



C14408T → P323L– May affect remdesivir binding


nsp14:



A23403G → A762V– Located near proofreading domain


Spike Protein:



C241T– UTR mutation

A502G → T19R– Antigenic site change

T23014C → L452R– Immune escape signal

G22578A → T478K– Common in Omicron


C23604G → P681H



– Enhances cell entry

T23599G → S371F– Part of antigenic supersite

C23603T → S373P– Strong immune evasion potential

C23604A → S375F– Extended Spike motif


Recombination Detected

Based on RDP5 analysis, this isolate shows mosaic structure between BA.1 and BA.5 subvariants.

Detected Breakpoints:




Start
End
Parental Sequences


11288
11296
BA.1 → BA.5


28254
28254
BA.5 → BA.1




Supporting Methods:



RDP

BootScan

Chimaera

GeneConv


Supporting Files Included




File
Description


SRR32480181_consensus_5.0.fasta
Reconstructed genome


aligned.fasta
MAFFT alignment for RDP5


nextclade.csv
Mutation and lineage classification


SRR32480181_coverage.png
Coverage depth across genome


run_full_pipeline.sh
Script used for processing


README.md
This document


LICENSE
CC-BY 4.0




Notes

This work was conducted independently using open-source tools and public data. No institutional funding involved.

Recombination patterns suggest ongoing evolution within Omicron descendants. Hybrid strains like this may have altered ACE2 binding and immune evasion profiles.

The isolate has been submitted to GenBank for formal classification and will be updated upon acceptance.

License

This work is licensed under a Creative Commons Attribution 4.0 International License. You are free to share and adapt the material, even commercially, provided you give appropriate credit.

Author & Contact

Tahir Hussain Bhatti

📧 Email: tahirhb@hotmail.com

🌐 Website: tahirhb.com/reports

🧬 ORCID: 0009-0003-6042-1616