cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18275074
title: Epilobium hirtigerum A.Cunn. 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 16:46
DOI: 10.5281/zenodo.18275080
title: Eragrostideae Stapf. 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 16:46
DOI: 10.5281/zenodo.18275084
title: Eragrostis Wolf. 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 16:46
DOI: 10.5281/zenodo.18275085
title: Eragrostis Wolf. 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 16:46
DOI: 10.5281/zenodo.18275087
title: Eragrostis acutiglumis Parodi. 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 16:46
DOI: 10.5281/zenodo.18275086
title: Eragrostis acutiglumis Parodi. 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 16:46
DOI: 10.15468/dl.d92u6f
title: Occurrence Download

description: A dataset containing 152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potamocorbula amurensis",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 152 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015647-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.37h9vc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potamocorbula amurensis",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015646-260108223611665/datasets/export for details.
DOI: 10.5281/zenodo.18275064
title: Artificial Intelligence Workforce  Development for Data-Driven Governance in  Environmental Management

description: Mangrove ecosystems are critical for coastal resilience, yet their management faces increasing challenges due to rapid environmental change, fragmented data systems, governance limitations, and the inadequate adaptive capacity of key stakeholders. This study presents an AI-powered adaptive learning framework that integrates predictive analytics, knowledge management, and participatory learning to enhance both ecological governance and human capacity development. Machine learning and remote sensing are employed to generate predictive environmental intelligence, enabling early detection of degradation risks, prioritization of restoration zones, and evidence-based policy formulation. Complementarily, knowledge management platforms facilitate the integration of scientific data with local ecological knowledge, while participatory learning mechanisms strengthen stakeholder engagement, legitimacy, and trust in AI-supported decision processes. Empirical evidence from Indonesian mangrove contexts demonstrates improvements in monitoring precision, collaborative problem-solving, and adaptive governance performance. Beyond ecological benefits, the framework contributes to workforce development by fostering digital literacy, analytical competence, strategic thinking, and adaptive leadership aligned with smart governance principles. The findings highlight the transformative potential of AI-enabled learning ecosystems in bridging technological innovation with human-centered governance, offering scalable implications for environmental management, institutional resilience, and sustainable policy implementation. This study provides actionable insights for policymakers, NGOs, practitioners, and academic institutions seeking to institutionalize AI-supported adaptive governance in coastal socio-ecological systems
DOI: 10.5281/zenodo.18275063
title: Artificial Intelligence Workforce  Development for Data-Driven Governance in  Environmental Management

description: Mangrove ecosystems are critical for coastal resilience, yet their management faces increasing challenges due to rapid environmental change, fragmented data systems, governance limitations, and the inadequate adaptive capacity of key stakeholders. This study presents an AI-powered adaptive learning framework that integrates predictive analytics, knowledge management, and participatory learning to enhance both ecological governance and human capacity development. Machine learning and remote sensing are employed to generate predictive environmental intelligence, enabling early detection of degradation risks, prioritization of restoration zones, and evidence-based policy formulation. Complementarily, knowledge management platforms facilitate the integration of scientific data with local ecological knowledge, while participatory learning mechanisms strengthen stakeholder engagement, legitimacy, and trust in AI-supported decision processes. Empirical evidence from Indonesian mangrove contexts demonstrates improvements in monitoring precision, collaborative problem-solving, and adaptive governance performance. Beyond ecological benefits, the framework contributes to workforce development by fostering digital literacy, analytical competence, strategic thinking, and adaptive leadership aligned with smart governance principles. The findings highlight the transformative potential of AI-enabled learning ecosystems in bridging technological innovation with human-centered governance, offering scalable implications for environmental management, institutional resilience, and sustainable policy implementation. This study provides actionable insights for policymakers, NGOs, practitioners, and academic institutions seeking to institutionalize AI-supported adaptive governance in coastal socio-ecological systems
DOI: 10.15468/dl.zxe3ue
title: Occurrence Download

description: A dataset containing 341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Ecuador",
 "TaxonKey is Juglans neotropica",
 "Year 2000-2026"
 ]
}

 The dataset includes 341 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015648-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jqjhe7
title: Occurrence Download

description: A dataset containing 21796 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Diplotaxis muralis (L.) DC.",
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 21796 records from 253 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015649-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/bsr3t-17974
title: B/r H266 / R1-16 conjugation

description: Grid box YWC238
description: <strong>Tilt Series Date:</strong> 2017-01-19</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</p>
<strong>Species / Specimen:</strong> Escherichia coli</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: -6.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain and sample prepared by Carrie Shaffer</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-01-19-42/rawdata/</p>20160119_YWC238_10042.mrc,  Tilt Series (Pixel Size 0.39 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-01-19-42/rawdata/20160119_YWC238_10042.mrc"
        > <i class="download icon"></i> Download </a></p>

        20160119_YWC238_10042_full.rec,  Reconstruction (Pixel Size 1.56 nm), 534.5 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-01-19-42/3dimage_81343/20160119_YWC238_10042_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.25919/y48f-3v70
title: RV Investigator Voyage IN2023_V02 Marine Mammals and Seabirds Observations

description: This record describes the Wildlife on Voyage (WoV) data collected on Investigator voyage IN2023_V02, titled: "Gigantic submarine landslide offshore western Tasmania: risk mitigation for shelf-derived tsunami in Australia." The voyage took place between March 24, 2023 and April 30, 2023 (AEST), departing from Hobart and returning to Hobart.

These surveys were conducted alongside Marine Mammal Observer (MMO) duties associated with seismic operations. There were two survey protocols: Continuous (which were performed when seismic operations required MMOs on watch for the entire survey period); and structured snapshots.

The collected data were processed (quality-controlled), and subsequently archived by the CSIRO National Collections and Marine Infrastructure (NCMI) Information and Data Centre (IDC).

Please note: besides marine mammals and seabirds, the dataset also includes a few tuna and shark observations.

Additional information regarding this dataset may be found in the data package README file and the associated publication:

Viola, B., Puskic, P., Corney, S. et al. A quantitative assessment of continuous versus structured methods for the detection of marine mammals and seabirds via opportunistic shipboard surveys. Sci Rep 14, 18796 (2024). https://doi.org/10.1038/s41598-024-68512-6
DOI: 10.15468/dl.hw32an
title: Occurrence Download

description: A dataset containing 198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Camellia semiserrata"
 ]
}

 The dataset includes 198 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044686-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xxtk6c
title: Occurrence Download

description: A dataset containing 277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Populus nigra",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 277 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044688-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/03c6x-khn50
title: M. xanthus PilY1.3-sfGFP

description: PilY1.3-sfGFP (SA7661+pMAT321)Grid box YWC262
description: <strong>Tilt Series Date:</strong> 2017-11-27</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</p>
<strong>Species / Specimen:</strong> Myxococcus xanthus</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 180.0 eV/Å²,  defocus: -6.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain form Lotte Sogaard-Andersen</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-11-27-121/rawdata/</p>20171127_YWC262_10124.mrc,  Tilt Series (Pixel Size 0.39 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-11-27-121/rawdata/20171127_YWC262_10124.mrc"
        > <i class="download icon"></i> Download </a></p>

        20171127_YWC262_10124_full.rec,  Reconstruction (Pixel Size 1.56 nm), 534.5 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-11-27-121/3dimage_90773/20171127_YWC262_10124_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.5281/zenodo.16740128
title: GWTC-4.0 Cumulative Search Sensitivity Estimates

description: Cumulative LIGO-Virgo-KAGRA (LVK) search sensitivity estimates are provided for quasi-circular compact binary coalescences (CBCs) throughout the advanced detector era (O1 - O4a). These are represented as tabular data containing the parameters of simulated CBCs along with the significance assigned to each simulated signal by a number of searches.

Details of individual files can be found in

    gwtc-4_o1234a_sensitivity-estimates.md

and

    Essick et al (2025) arXiv:2508.10638

Additional information about the O4-only injections is available here:

    zenodo:16740117
DOI: 10.22002/rtbgg-70g07
title: Methanobacterium formicicum

description: Raw data files of Methanobacterium formicicum
description: <strong>Tilt Series Date:</strong> 2015-05-07</p>
<strong>Data Taken By:</strong> Elitza Tocheva</p>
<strong>Species / Specimen:</strong> Methanobacterium formicicum</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: -10.0 μm,  magnification: 18000x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Eric Matson</p>
description: Files available via S3 at ps://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2015-05-07-10/rawdata/</p>Methano_eric0006.mrc,  Tilt Series (Pixel Size 0.6 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2015-05-07-10/rawdata/Methano_eric0006.mrc"
        > <i class="download icon"></i> Download </a></p>

        Methano_eric0006_full.rec,  Reconstruction (Pixel Size 2.4 nm), 712.7 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2015-05-07-10/3dimage_56090/Methano_eric0006_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.5281/zenodo.16740127
title: GWTC-4.0 Cumulative Search Sensitivity Estimates

description: Cumulative LIGO-Virgo-KAGRA (LVK) search sensitivity estimates are provided for quasi-circular compact binary coalescences (CBCs) throughout the advanced detector era (O1 - O4a). These are represented as tabular data containing the parameters of simulated CBCs along with the significance assigned to each simulated signal by a number of searches.

Details of individual files can be found in

    gwtc-4_o1234a_sensitivity-estimates.md

and

    Essick et al (2025) arXiv:2508.10638

Additional information about the O4-only injections is available here:

    zenodo:16740117
DOI: 10.15468/dl.y6xv7g
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Populus nigra",
 "Country is Estonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 36 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044689-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/tygyw-rfa98
title: Vibrio cholerae PM16

description: delta vc1403
description: <strong>Tilt Series Date:</strong> 2015-07-28</p>
<strong>Data Taken By:</strong> Ariane Briegel</p>
<strong>Species / Specimen:</strong> Vibrio cholerae</p>
<strong>Strain:</strong> O1 biovar El Tor</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 160.0 eV/Å²,  defocus: -8.0 μm,  magnification: 34000x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Simon Ringgaard</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2015-07-28-2/rawdata/</p>Vibriodelta1403doubleMCP0040.mrc,  Tilt Series (Pixel Size 0.32 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2015-07-28-2/rawdata/Vibriodelta1403doubleMCP0040.mrc"
        > <i class="download icon"></i> Download </a></p>

        Vibriodelta1403doubleMCP0040_full.rec,  Reconstruction (Pixel Size 1.28 nm), 712.7 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2015-07-28-2/3dimage_59736/Vibriodelta1403doubleMCP0040_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/ed078-37q98
title: 91+92 host and prey cells

description: Raw data files of 91+92 host and prey cells
description: <strong>Tilt Series Date:</strong> 2015-06-05</p>
<strong>Data Taken By:</strong> Poorna Subramanian</p>
<strong>Species / Specimen:</strong> Escherichia coli</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-66.0°, 66.0°), step: 1.0°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: -10.0 μm,  magnification: 33000x. </p>
<strong>Microscope:</strong> Janelia Titan</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Chris Hayes and David Low</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-06-05-44/rawdata/</p>PS95-tomo0032.mrc,  Tilt Series (Pixel Size 0.331 nm), 3.7 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-06-05-44/rawdata/PS95-tomo0032.mrc"
        > <i class="download icon"></i> Download </a></p>

        PS95-tomo0032_full.rec,  Reconstruction (Pixel Size 1.324 nm), 430.6 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-06-05-44/3dimage_58655/PS95-tomo0032_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.7cm7dh
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Populus nigra",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 43 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044687-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/y1ae4-y5g87
title: pED208_6um

description: t4ss in E.colli with F pilus
description: <strong>Tilt Series Date:</strong> 2015-02-11</p>
<strong>Data Taken By:</strong> Elitza Tocheva</p>
<strong>Species / Specimen:</strong> Escherichia coli</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 180.0 eV/Å²,  defocus: -6.0 μm,  magnification: 22500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Purification / Growth Conditions / Treatment:</strong> LB o/n 37C</p>
<strong>Sample Preparation:</strong> Vitrobot</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2015-02-11-32/rawdata/</p>pED_6um_Feb100020.mrc,  Tilt Series (Pixel Size 0.5 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2015-02-11-32/rawdata/pED_6um_Feb100020.mrc"
        > <i class="download icon"></i> Download </a></p>

        pED_6um_Feb100020_part121_6.rec,  Reconstruction (Pixel Size 2.0 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2015-02-11-32/3dimage_51770/pED_6um_Feb100020_part121_6.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/jg4rx-vfy85
title: H. pylori 26695 WT

description: grid box YWC259
description: <strong>Tilt Series Date:</strong> 2017-07-06</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</p>
<strong>Species / Specimen:</strong> Helicobacter pylori</p>
<strong>Strain:</strong> 26695</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 180.0 eV/Å²,  defocus: -6.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain and sample prepared by Carrie Shaffer</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-07-06-12/rawdata/</p>20170706_YWC259_10013.mrc,  Tilt Series (Pixel Size 0.39 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-07-06-12/rawdata/20170706_YWC259_10013.mrc"
        > <i class="download icon"></i> Download </a></p>

        20170706_YWC259_10013.rec,  Reconstruction (Pixel Size 1.56 nm), 1.1 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-07-06-12/3dimage_85659/20170706_YWC259_10013.rec"
        > <i class="download icon"></i> Download </a></p>