cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29582716.v1
title: Expression and characterization of three alginate lyases from <i>Vibrio</i> sp. E: targeting kelp hydrolysis and biofilm disruption

description: A marine bacterial strain, <i>Vibrio</i> sp. E, capable of producing alginate lyases, was isolated from seawater. Three alginate lyase genes from this strain were cloned and expressed in <i>Escherichia coli</i>. The recombinant enzymes, designated AlyE1, AlyE2, and AlyE3, exhibited optimal activity at pH 9.0 and high pH stability, retaining over 80% of their initial activity across a pH range of 6.0 to 10.0. They retained more than 50% activity at 4 °C and over 30% at 100 °C. AlyE1 and AlyE3 demonstrated thermo-tolerance, recovering the majority of of their initial activity after heat treatment (&gt;80 °C, &lt;120 min) and cooling (&gt;80 °C, &gt;10 min). All three enzymes exhibited strong NaCl tolerance but were not NaCl-dependent. They were characterized as bifunctional and endolytic lyases, which was effective in kelp (<i>Laminaria japonica</i>) hydrolysis and in disrupting <i>Pseudomonas aeruginosa</i> biofilms.
DOI: 10.6084/m9.figshare.29602104
title: Biosynthesis of silver nanoparticles by thermophilic spore-forming bacilli: screening for high-performance strains and characterization of silver nanoparticles from <i>Anoxybacillus</i> sp. D401a

description: In this study, thermophilic, spore-forming bacteria from the families <i>Bacillaceae</i> and <i>Anoxybacillaceae</i> were analyzed for their ability to produce silver nanoparticles (AgNPs). <i>Anoxybacillus</i> sp. D401a was selected due to its high AgNP synthesis potential. The culture conditions (NaCl-free nutrient broth, 60 °C, pH 8.5, 48 hr) and synthesis parameters (1.5 mM AgNO<sub>3</sub>, 48 hr at 60 °C, pH 8.5) were optimized, resulting in a sevenfold increase in AgNP yield. Scale-up production yielded 139.4 mg of dry AgNPs with strong antimicrobial activity that exhibited significant minimum inhibitory concentration (MIC) values against Gram-positive, Gram-negative and fungal pathogens, outperforming commercial AgNPs. Sub-MIC concentrations of the biosynthesized AgNPs also inhibited biofilm formation and quorum sensing in <i>Chromobacterium violaceum</i> ATCC 12472. Characterization by ultraviolet–visible spectroscopy revealed a surface plasmon resonance peak at 400–450 nm, and Fourier-transform infrared spectroscopy indicated the presence of organic residues that stabilized the particles. Transmission electron microscopy analysis showed predominantly spherical AgNPs (24–57 nm). MTT assays showed a dose-dependent cytotoxicity against human keratinocytes (HaCaT), fibroblasts (HDF, L929), and cancer cells (HT-29, MCF-7), indicating a therapeutic window compared to commercial AgNPs. These results emphasize the potential of <i>Anoxybacillus</i>-derived AgNPs as a sustainable alternative for biomedical applications.
DOI: 10.6084/m9.figshare.29602104.v1
title: Biosynthesis of silver nanoparticles by thermophilic spore-forming bacilli: screening for high-performance strains and characterization of silver nanoparticles from <i>Anoxybacillus</i> sp. D401a

description: In this study, thermophilic, spore-forming bacteria from the families <i>Bacillaceae</i> and <i>Anoxybacillaceae</i> were analyzed for their ability to produce silver nanoparticles (AgNPs). <i>Anoxybacillus</i> sp. D401a was selected due to its high AgNP synthesis potential. The culture conditions (NaCl-free nutrient broth, 60 °C, pH 8.5, 48 hr) and synthesis parameters (1.5 mM AgNO<sub>3</sub>, 48 hr at 60 °C, pH 8.5) were optimized, resulting in a sevenfold increase in AgNP yield. Scale-up production yielded 139.4 mg of dry AgNPs with strong antimicrobial activity that exhibited significant minimum inhibitory concentration (MIC) values against Gram-positive, Gram-negative and fungal pathogens, outperforming commercial AgNPs. Sub-MIC concentrations of the biosynthesized AgNPs also inhibited biofilm formation and quorum sensing in <i>Chromobacterium violaceum</i> ATCC 12472. Characterization by ultraviolet–visible spectroscopy revealed a surface plasmon resonance peak at 400–450 nm, and Fourier-transform infrared spectroscopy indicated the presence of organic residues that stabilized the particles. Transmission electron microscopy analysis showed predominantly spherical AgNPs (24–57 nm). MTT assays showed a dose-dependent cytotoxicity against human keratinocytes (HaCaT), fibroblasts (HDF, L929), and cancer cells (HT-29, MCF-7), indicating a therapeutic window compared to commercial AgNPs. These results emphasize the potential of <i>Anoxybacillus</i>-derived AgNPs as a sustainable alternative for biomedical applications.
DOI: 10.13140/rg.2.2.13996.73602/1
title: Uber data..
DOI: 10.15468/dl.bapw7k
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vitis rotundifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021470-260208012135463/datasets/export for details.
DOI: 10.5281/zenodo.18655205
title: Bibliographic data from the Web of Science (WoS) Core Collection
DOI: 10.5281/zenodo.18655204
title: Bibliographic data from the Web of Science (WoS) Core Collection
DOI: 10.15468/dl.c35c6g
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vitis vinifera",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021471-260208012135463/datasets/export for details.
DOI: 10.6084/m9.figshare.31323565
title: Breast Cancer Project (epidemioloy)

description: This epidemiological project examines the features of participants attending a free mammography screening campaign at the private Lebanese hospital in Beirut, Lebanon. All women underwent 2D mammography and 3D digital breast tomosynthesis.
DOI: 10.6084/m9.figshare.31323565.v1
title: Breast Cancer Project (epidemioloy)

description: This epidemiological project examines the features of participants attending a free mammography screening campaign at the private Lebanese hospital in Beirut, Lebanon. All women underwent 2D mammography and 3D digital breast tomosynthesis.
DOI: 10.15468/dl.fqgd9h
title: Occurrence Download

description: A dataset containing 4154 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección Reptiles Instituto Sinchi"
 ]
}

 The dataset includes 4154 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021473-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rbsb5n
title: Occurrence Download

description: A dataset containing 113923 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herbario Amazónico Colombiano Dairon Cárdenas López"
 ]
}

 The dataset includes 113923 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021467-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ktrgp
title: Occurrence Download

description: A dataset containing 1122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Krameria lanceolata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1122 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021474-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pwxu29
title: Occurrence Download

description: A dataset containing 23481 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((63.41956 20.33912,81.14479 20.33912,81.14479 27.42617,63.41956 27.42617,63.41956 20.33912))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is CR",
 "OccurrenceStatus is Present",
 "Year 1972-2024"
 ]
}

 The dataset includes 23481 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021475-260208012135463/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.31345153
title: Metadata to J Environ Manage 380 (2025) 125053

description: This repository contains the raw experimental datasets associated with the publication in J Environ Manage 380 (2025) 125053. The study was funded by the National Science Centre (NCN), Poland, under grant no. 2023/51/D/ST8/00206.
DOI: 10.6084/m9.figshare.31345153.v1
title: Metadata to J Environ Manage 380 (2025) 125053

description: This repository contains the raw experimental datasets associated with the publication in J Environ Manage 380 (2025) 125053. The study was funded by the National Science Centre (NCN), Poland, under grant no. 2023/51/D/ST8/00206.
DOI: 10.4121/ddede7f5-aca5-42ae-b851-e0bbb9a2c4c2
title: Calibrated global 2019 - 2024 macroplastic abundance dataset from Automated Debris Imaging System

description: This dataset contains geolocated numerical abundance observations of floating ocean macroplastics, based on over 20,000 validated items. The observations have been made with the novel Automated Debris Imaging System, based on shipborne photo timelapses of GoPro action cameras and a Yolov5 object detection model. The numerical abundance observations are aggregated to 10 km segments, while the individual plastic items can be found as JPG thumbnails and their metadata in a CSV file.<br>The segments are available as geopackage (GPKG) for direct use in GIS applications, or as CSV, based on the segment centroids.The individual validated objects are described in the objects.csv table, which can be matched to the segments table using the SegmentID field.The archive named Object snippets.zip contains an object snippet for every row in the objects.csv table, which can be matched using the ID field.The attributes for the segments and objects files are detailed in the readme file.<br>Object photo snippets:The filenames represent the ID field in the object attributes table. Due to two different intermediate processing versions, some snippets contain imprinted bounding box information; others contain only the snippet itself.<br>ACKNOWLEDGEMENTS:<br>Dr. Thomas Mani, Dr. Matthias Egger, Dr. Fatimah Sulu-Gambari, Dr. Erik Zettler (NIOZ), Dr. Giuseppe Suaria (CNR-ISMAR), Marretje Adriaanse (Bark Europa), Regitze Andersen (Bark Europa), Nina Jolink (Bark Europa), Margot Thibault (Université de La Réunion), Kelsey Lane (SSV Robert C. Seamans). and Dr. Gennady Kantakov. We further thank Dr. Dmitry Glazov (IEE RAS, Russia), GoPro USA staff (Dr. Vadim Polonichko, Christopher Prado, David Newman), the International Year of the Salmon organization (Mark Saunders, Aidan Schubert, Camille Jasinski, Caroline Graham), the North Pacific Anadromous Fish Commission (Dr. Vladimir Radchenko, Carmel Lowe, Doug Mecum), and Richard Beamish, D.Sc. (Pacific Biological Station, Canada). Special thanks go the crews of the Maersk Tender and Trader for multi-year continuous support with data collection. The Ocean Cleanup staff members Julius Lein, Yannick Pham and Alessandro Iannarelly have been highly involved with backups and batch processing of the data. Finally, we also thank the students who have completed the extensive manual validation work: Ronaldyn Dabu, Lingyun Gao, Simon Pipers, Mareike Hein, Cecile Kwa, Diego Grendene, and Maksymilian Martys.<br>Additional thanks to Andrey Tretiakov, Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences (IEE RAS), Russia; Ed Farley, PhD, NOAA, Auke Bay Laboratories, USA; Evgeny Pakhomov, Professor IOF, UBC, Canada; Gennady Kantakov, PhD, FEEC, Russia; Jackie King, PhD, DFO, Pacific Biological Station, Canada; Laurie Weitkamp, PhD, NOAA, Northwest Fisheries Science Center, USA; Pavel Chukmasov, Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences (IEE RAS), Russia;<br><br>
DOI: 10.4121/ddede7f5-aca5-42ae-b851-e0bbb9a2c4c2.v1
title: Calibrated global 2019 - 2024 macroplastic abundance dataset from Automated Debris Imaging System

description: This dataset contains geolocated numerical abundance observations of floating ocean macroplastics, based on over 20,000 validated items. The observations have been made with the novel Automated Debris Imaging System, based on shipborne photo timelapses of GoPro action cameras and a Yolov5 object detection model. The numerical abundance observations are aggregated to 10 km segments, while the individual plastic items can be found as JPG thumbnails and their metadata in a CSV file.<br>The segments are available as geopackage (GPKG) for direct use in GIS applications, or as CSV, based on the segment centroids.The individual validated objects are described in the objects.csv table, which can be matched to the segments table using the SegmentID field.The archive named Object snippets.zip contains an object snippet for every row in the objects.csv table, which can be matched using the ID field.The attributes for the segments and objects files are detailed in the readme file.<br>Object photo snippets:The filenames represent the ID field in the object attributes table. Due to two different intermediate processing versions, some snippets contain imprinted bounding box information; others contain only the snippet itself.<br>ACKNOWLEDGEMENTS:<br>Dr. Thomas Mani, Dr. Matthias Egger, Dr. Fatimah Sulu-Gambari, Dr. Erik Zettler (NIOZ), Dr. Giuseppe Suaria (CNR-ISMAR), Marretje Adriaanse (Bark Europa), Regitze Andersen (Bark Europa), Nina Jolink (Bark Europa), Margot Thibault (Université de La Réunion), Kelsey Lane (SSV Robert C. Seamans). and Dr. Gennady Kantakov. We further thank Dr. Dmitry Glazov (IEE RAS, Russia), GoPro USA staff (Dr. Vadim Polonichko, Christopher Prado, David Newman), the International Year of the Salmon organization (Mark Saunders, Aidan Schubert, Camille Jasinski, Caroline Graham), the North Pacific Anadromous Fish Commission (Dr. Vladimir Radchenko, Carmel Lowe, Doug Mecum), and Richard Beamish, D.Sc. (Pacific Biological Station, Canada). Special thanks go the crews of the Maersk Tender and Trader for multi-year continuous support with data collection. The Ocean Cleanup staff members Julius Lein, Yannick Pham and Alessandro Iannarelly have been highly involved with backups and batch processing of the data. Finally, we also thank the students who have completed the extensive manual validation work: Ronaldyn Dabu, Lingyun Gao, Simon Pipers, Mareike Hein, Cecile Kwa, Diego Grendene, and Maksymilian Martys.<br>Additional thanks to Andrey Tretiakov, Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences (IEE RAS), Russia; Ed Farley, PhD, NOAA, Auke Bay Laboratories, USA; Evgeny Pakhomov, Professor IOF, UBC, Canada; Gennady Kantakov, PhD, FEEC, Russia; Jackie King, PhD, DFO, Pacific Biological Station, Canada; Laurie Weitkamp, PhD, NOAA, Northwest Fisheries Science Center, USA; Pavel Chukmasov, Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences (IEE RAS), Russia;<br><br>
DOI: 10.15468/dl.83g79b
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Krameria lappacea",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 143 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021476-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9bt2mz
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bulnesia chilensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 27 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021478-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/o8qd5j
title: Data for publication entitled "Tailored ZIF-8 Morphologies Enable Efficient Chemical Recycling of Polycarbonate Waste"

description: Research data that was used to create the publication entitled "Tailored ZIF-8 Morphologies Enable Efficient Chemical Recycling of Polycarbonate Waste". Authors: Patrycja Jutrzenka Trzebiatowska et al.All necessary information regarding equipment and methodology is available in the Readme files. The .zip files contain source files that can be opened using publicly available document and image processing programs (notes, Microsoft Word/Excel, Libre Office Calc, Photo Gallery. The NMR files with the extension “.zip” are openable with MestreNova software or others.
DOI: 10.6084/m9.figshare.31345123
title: Supplementary material (The mode of female sperm storage influences the evolution of sperm size in decapodiformes)

description: This file contains all datasets of 29 species and 5 alternative male types used in the analysis.
DOI: 10.6084/m9.figshare.31345123.v1
title: Supplementary material (The mode of female sperm storage influences the evolution of sperm size in decapodiformes)

description: This file contains all datasets of 29 species and 5 alternative male types used in the analysis.
DOI: 10.15468/dl.dgw6f2
title: Occurrence Download

description: A dataset containing 4165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Larrea tridentata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 4165 records from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021479-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3mnn9j
title: Occurrence Download

description: A dataset containing 45989 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phlebotomus"
 ]
}

 The dataset includes 45989 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021480-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/8d2cdb5f-b652-41db-95a2-5345b4c1e77c
title: Supplementary Dataset and Figures of "AIRTRAC v2.0: a Lagrangian aerosol tagging submodel for the analysis of aviation SO₄ transport patterns"

description: This dataset accompanies the journal article entitled "<strong>AIRTRAC v2.0: a Lagrangian aerosol tagging submodel for the analysis of aviation SO</strong>₄<strong> transport patterns"</strong>. It comprises six simulations conducted with the newly developed <strong>AIRTRAC v2.0 </strong>submodel, integrated within the ECHAM/MESSy Atmospheric Chemistry (EMAC) model framework.<br>Two of these simulations comprise the <strong>Lagrangian dataset </strong>used to track the production and transport of sulfate aerosols (<strong>SO₄)</strong> resulting from aviation emissions of <strong>SO₂ and H₂SO₄</strong>. These species are emitted at points following the SO₂ mass flux distributions from the 2015 CMIP6 aviation emissions inventory (after applying the correction of Thor et al. (2023)) and injected at a pressure altitude of approximately 240 hPa (~10.6 km). The magnitude of the total emitted SO₂ corresponds approximately to the global total from one day of aviation activity in 2015 (Righi et al., 2023).<br>The remaining four simulations are part of a <strong>perturbation experiment </strong>designed to validate the AIRTRAC v2.0 submodel. For each period, a pair of simulations was conducted: one with aviation SO₂ and H₂SO₄ emissions and one without. The simulation without emissions serves as a reference case.<br>All simulations span two ~90-day periods: <strong>January 1–March 31, 2015 </strong>and <strong>July 1–September 30, 2015</strong>.<br>The repository also includes <strong>supplementary figures</strong> that accompany the main article.<br>The code for the <strong>EP_Selector tool, </strong>which was developed to automatically define a set of pulse emission points that closely align with sustained emissions from any given emissions inventory used in simulations, may be consulted in Maruhashi et al. (2025).<br>For further details, please consult the README file.<br><strong>References:</strong>Maruhashi, J., Grewe, V. and Dedoussi, I.C.: Supporting dataset and code for the PhD dissertation "Characterizing the transport patterns and climate effects of aviation emissions using a novel Lagrangian tagging method", Version 1. 4TU.ResearchData, dataset, https://doi.org/10.4121/79bcd360-04fc-4efc-a908-09874b9703c5.v1, 2025.<br>Thor, R. N., Mertens, M., Matthes, S., Righi, M., Hendricks, J., Brinkop, S., Graf, P., Grewe, V., Jöckel, P., and Smith, S.: An inconsistency in aviation emissions between CMIP5 and CMIP6 and the implications for short-lived species and their radiative forcing, Geosci. Model Dev., 16, 1459–1466, https://doi.org/10.5194/gmd-16-1459-2023, 2023.<br>Righi, M., Hendricks, J., and Brinkop, S.: The global impact of the transport sectors on the atmospheric aerosol and the resulting climate effects under the Shared Socioeconomic Pathways (SSPs), Earth Syst. Dynam., 14, 835–859, https://doi.org/10.5194/esd-14-835-2023, 2023.