cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22002/44jkn-msv57
title: Vibrio AKI

description: Vibrio cholerae, AKI medium
description: <strong>Tilt Series Date:</strong> 2014-01-08</p>
<strong>Data Taken By:</strong> Ariane Briegel</p>
<strong>Species / Specimen:</strong> Vibrio cholerae</p>
<strong>Strain:</strong> TRH7000</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: -10.0 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>Purification / Growth Conditions / Treatment:</strong> MKW1383 grown overnight in AKI medium at 37°C</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2014-01-08-8/rawdata/</p>VibrioAKIWT37degree0009.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/aba2014-01-08-8/rawdata/VibrioAKIWT37degree0009.mrc"
        > <i class="download icon"></i> Download </a></p>

        VibrioAKIWT37degree0009_full.rec,  Reconstruction (Pixel Size 1.28 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2014-01-08-8/3dimage_37573/VibrioAKIWT37degree0009_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.5281/zenodo.16946176
title: MHC I Allelic Diversity in Clarias Catfish 1. General Information
DOI: 10.22002/dy6dr-03m53
title: Nitrosopumilus maritimus

description: Nmar cells grown to mid log phase. Not concentrated, looking for cell division related CDV proteins.(Pipeline:  autoprocref_1396627728)
description: <strong>Tilt Series Date:</strong> 2014-04-17</p>
<strong>Data Taken By:</strong> Rasika Ramdasi</p>
<strong>Species / Specimen:</strong> Nitrosopumilus maritimus</p>
<strong>Strain:</strong> None</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-55.0°, 55.0°), step: 1.0°, constant angular increment, dosage: 180.0 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> UCSF TOMO</p>
<strong>Collaborators and Roles:</strong> with David Stahl</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/rra2014-04-17-25/3dimage_41739/</p>nmaratlas90001_part111_44.rec,  Reconstruction (Pixel Size 2.4 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/rra2014-04-17-25/3dimage_41739/nmaratlas90001_part111_44.rec"
        > <i class="download icon"></i> Download </a></p>

        nmaratlas90001.mrc,  Tilt Series (Pixel Size 0.6 nm), 3.2 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/rra2014-04-17-25/rawdata/nmaratlas90001.mrc"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/0jbsx-d3q42
title: magnetosome induced t1

description: Raw data files of magnetosome induced t1
description: <strong>Tilt Series Date:</strong> 2014-06-19</p>
<strong>Data Taken By:</strong> Poorna Subramanian</p>
<strong>Species / Specimen:</strong> Magnetospirillum magneticum </p>
<strong>Strain:</strong> deltaQ 167</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -15.0 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>
  psa2014-06-19-24_slicer8169.jpg: magnetospirillum magneticum deltaQ 167 .  extracellular vesicle psa2014-06-19-24_slicer8172.jpg: magnetospirillum magneticum deltaQ 167 .  vesicle psa2014-06-19-24_slicer8176.jpg: magnetospirillum magneticum deltaQ 167 .  dividing
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2014-06-19-24/rawdata/</p>atlas50005.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/psa2014-06-19-24/rawdata/atlas50005.mrc"
        > <i class="download icon"></i> Download </a></p>

        atlas50005_full.rec,  Reconstruction (Pixel Size 2.4 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2014-06-19-24/3dimage_43794/atlas50005_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/hjqh6-ew964
title: R. sphaeroides Cryosections

description: R. sphaeroides Cryosections strain 593
description: <strong>Tilt Series Date:</strong> 2013-10-23</p>
<strong>Data Taken By:</strong> Ariane Briegel</p>
<strong>Species / Specimen:</strong> Rhodobacter sphaeroides</p>
<strong>Strain:</strong> ATCC 17023</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 2°, constant angular increment, dosage: 160.0 eV/Å²,  defocus: -10.0 μm,  magnification: 44000x. </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> Judith Armitage</p>
description: Files available via S3 at ps://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2013-10-23-47/rawdata/</p>rhodosectionsatlas10054.mrc,  Tilt Series (Pixel Size 0.32 nm), 1.7 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2013-10-23-47/rawdata/rhodosectionsatlas10054.mrc"
        > <i class="download icon"></i> Download </a></p>

        rhodosectionsatlas10054_part61_1.rec,  Reconstruction (Pixel Size 0.64 nm), 2.9 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2013-10-23-47/3dimage_33129/rhodosectionsatlas10054_part61_1.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.j5xrtz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Haplochromis diplotaenia)",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044867-250811113504898/datasets/export for details.
DOI: 10.22002/ttm8m-9jb02
title: MLV 43D

description: wild type, WT, 1st batch
description: <strong>Tilt Series Date:</strong> 2014-01-16</p>
<strong>Data Taken By:</strong> Luiza Mendonca</p>
<strong>Species / Specimen:</strong> MLV</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: 106.0 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>Collaborators and Roles:</strong> Hung Fan</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lmm2014-01-16-27/rawdata/</p>C184_1_MLV_43D_wt0002.mrc,  Tilt Series (Pixel Size 4.9 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lmm2014-01-16-27/rawdata/C184_1_MLV_43D_wt0002.mrc"
        > <i class="download icon"></i> Download </a></p>

        C184_1_MLV_43D_wt0002_full.rec,  Reconstruction (Pixel Size 19.6 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lmm2014-01-16-27/3dimage_37832/C184_1_MLV_43D_wt0002_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/dv0x4-20328
title: R. sphaeroides Cryosections

description: Strain JPA 543 cryosections
description: <strong>Tilt Series Date:</strong> 2013-07-26</p>
<strong>Data Taken By:</strong> Ariane Briegel</p>
<strong>Species / Specimen:</strong> Rhodobacter sphaeroides</p>
<strong>Strain:</strong> ATCC 17023</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 2°, constant angular increment, dosage: 160.0 eV/Å²,  defocus: -10.0 μm,  magnification: 42000x. </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> Mark Ladinsky, Judy Armitage</p>
description: Files available via S3 at ps://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2013-07-26-11/rawdata/</p>rhodobactertestb0043.mrc,  Tilt Series (Pixel Size 0.26 nm), 1.7 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2013-07-26-11/rawdata/rhodobactertestb0043.mrc"
        > <i class="download icon"></i> Download </a></p>

        rhodobactertestb0043_full.rec,  Reconstruction (Pixel Size 0.52 nm), 2.8 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2013-07-26-11/3dimage_28793/rhodobactertestb0043_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.d4fywm
title: Occurrence Download

description: A dataset containing 2197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Viola odorata",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2197 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044868-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fnzg64
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((72.42947 -7.436116, 72.44479 -7.436116, 72.44479 -7.427288, 72.42947 -7.427288, 72.42947 -7.436116))"
 ]
}

 The dataset includes 154 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011372-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/usctheses-ouc11399khqa
title: From Memes to Money: The Vernacular Economics of Cryptocurrencies
DOI: 10.25549/usctheses-ouc11399khqq
title: Richard: a Radical Act of Resilience
DOI: 10.25549/usctheses-ouc11399khqr
title: ADVANCED ELASTOGRAPHY IN BIOMEDICAL APPLICATIONS: ASSESSING ELASTICITY FROM EXTRACELLULAR MATRIX TO TISSUE
DOI: 10.25549/usctheses-ouc11399khqx
title: Regulation of HSV-1 UL56 Protein Function by US3 Kinase and Its Interaction with the E3 Ubiquitin Ligase Nedd4L in Viral Immune Evasion
DOI: 10.6084/m9.figshare.28903454
title: 3D-GloBFP: the first global three-dimensional building footprint dataset (PART Ⅶ, grid ID: 1800-1899)

description: The 3D Global Building Footprints (3D-GloBFP) dataset is the first global-scale building height dataset at the individual building footprint level for the year 2020, generated through the integration of multisource Earth Observation (EO) data and the extreme gradient boosting (XGBoost) model. The reliability and accuracy of 3D-GloBFP have been validated across 33 subregions, achieving R² values ranging from 0.66 to 0.96 and root-mean-square errors (RMSEs) between 1.9 m and 14.6 m. The dataset is divided into spatial grid-based tiles, each stored as an individual ShapeFile (.shp) containing estimated building heights (in meters) in attribute tables. See world_grid.shp and readme.txt at https://doi.org/10.5281/zenodo.11319912 for grid partitioning and naming details.
DOI: 10.6084/m9.figshare.28903454.v1
title: 3D-GloBFP: the first global three-dimensional building footprint dataset (PART Ⅶ, grid ID: 1800-1899)

description: The 3D Global Building Footprints (3D-GloBFP) dataset is the first global-scale building height dataset at the individual building footprint level for the year 2020, generated through the integration of multisource Earth Observation (EO) data and the extreme gradient boosting (XGBoost) model. The reliability and accuracy of 3D-GloBFP have been validated across 33 subregions, achieving R² values ranging from 0.66 to 0.96 and root-mean-square errors (RMSEs) between 1.9 m and 14.6 m. The dataset is divided into spatial grid-based tiles, each stored as an individual ShapeFile (.shp) containing estimated building heights (in meters) in attribute tables. See world_grid.shp and readme.txt at https://doi.org/10.5281/zenodo.11319912 for grid partitioning and naming details.
DOI: 10.5281/zenodo.15450184
title: Dynamic Synthesis of Multi-Modal Representations for CITE-seq Data Integration and Analysis

description: Data used in "Dynamic Synthesis of Multi-Modal Representations for CITE-seq Data Integration and Analysis".
DOI: 10.15468/dl.vbpqdv
title: Occurrence Download

description: A dataset containing 30922 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Vanuatu",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 30922 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011778-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.czt89s
title: Occurrence Download

description: A dataset containing 108566267 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Observation.org, Nature data from around the World"
 ]
}

 The dataset includes 108566267 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012364-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15080122
title: Predictions of daily energy demand for the National Electricity Market

description: This repository contains predictions of daily energy demand for the Australian National Electricity Market (NEM) and participant States (QLD, NSW, VIC, SA, TAS) between 1940 and 2023.

The predictions were generated using an Extra Trees ensemble machine learning model with meteorological variables based on the ECMWF ERA5 reanalysis as predictors. Predictor data is also included in this repository.

The model was trained on demand observations from 2010-2016 and tested on observations from 2017-2019. This means the data here reflect how demand varies as a function of the weather according to the 2010-2019 power system.

The modelling procedure is described in Richardson et al. (2025), doi: 10.1088/1748-9326/ad9b3b. The data differ from those described in the paper because (1) the data length is longer here and (2) in the paper demand predictions are made using detrended predictors. The data here are not detrended.

There are six files, one per region. Each file has one column for the date, columns for each of the predictors ordered left to right according to their importance in the model, and one column for predicted demand. Column names are summarised here with units:



date: yyyy-mm-dd

t2m: mean daily temperature [K]

t2m3: 3-day average of daily mean temperature [K]

t2m4: 4-day average of daily mean temperature [K]

t2max: maximum daily temperature [K]

msdwswrf : solar radiation at surface [W m**-2]

rh: relative humidity [%]

q: specific humidity [g kg**-1]

w10: 10m wind speed [m s**-1]

mtpr: mean total precipitation rate [kg m**-2 s**-1]

cdd: cooling degree days [deg C]

prediction: demand prediction [MWh]


 

How to cite this repository

If using these data, please cite the original publication, available from https://iopscience.iop.org/article/10.1088/1748-9326/ad9b3b, and also this repository.
DOI: 10.5281/zenodo.15080121
title: Predictions of daily energy demand for the National Electricity Market

description: This repository contains predictions of daily energy demand for the Australian National Electricity Market (NEM) and participant States (QLD, NSW, VIC, SA, TAS) between 1940 and 2023.

The predictions were generated using an Extra Trees ensemble machine learning model with meteorological variables based on the ECMWF ERA5 reanalysis as predictors. Predictor data is also included in this repository.

The model was trained on demand observations from 2010-2016 and tested on observations from 2017-2019. This means the data here reflect how demand varies as a function of the weather according to the 2010-2019 power system.

The modelling procedure is described in Richardson et al. (2025), doi: 10.1088/1748-9326/ad9b3b.

There are six files, one per region. Each file has one column for the date, columns for each of the predictors ordered left to right according to their importance in the model, and one column for predicted demand. Column names are summarised here with units:



date: yyyy-mm-dd

t2m: mean daily temperature [K]

t2m3: 3-day average of daily mean temperature [K]

t2m4: 4-day average of daily mean temperature [K]

t2max: maximum daily temperature [K]

msdwswrf : solar radiation at surface [W m**-2]

rh: relative humidity [%]

q: specific humidity [g kg**-1]

w10: 10m wind speed [m s**-1]

mtpr: mean total precipitation rate [kg m**-2 s**-1]

cdd: cooling degree days [deg C]

prediction: demand prediction [MWh]


 

How to cite this repository

If using these data, please cite the original publication, available from https://iopscience.iop.org/article/10.1088/1748-9326/ad9b3b, and also this repository.
DOI: 10.5281/zenodo.15272801
title: Predictions of daily energy demand for the National Electricity Market

description: This repository contains predictions of daily energy demand for the Australian National Electricity Market (NEM) and participant States (QLD, NSW, VIC, SA, TAS) between 1940 and 2023.

The predictions were generated using an Extra Trees ensemble machine learning model with meteorological variables based on the ECMWF ERA5 reanalysis as predictors. Predictor data is also included in this repository.

The model was trained on demand observations from 2010-2016 and tested on observations from 2017-2019. This means the data here reflect how demand varies as a function of the weather according to the 2010-2019 power system.

The modelling procedure is described in Richardson et al. (2025), doi: 10.1088/1748-9326/ad9b3b.

There are six files, one per region. Each file has one column for the date, columns for each of the predictors ordered left to right according to their importance in the model, and one column for predicted demand. Column names are summarised here with units:



date: yyyy-mm-dd

t2m: mean daily temperature [K]

t2m3: 3-day average of daily mean temperature [K]

t2m4: 4-day average of daily mean temperature [K]

t2max: maximum daily temperature [K]

msdwswrf : solar radiation at surface [W m**-2]

rh: relative humidity [%]

q: specific humidity [g kg**-1]

w10: 10m wind speed [m s**-1]

mtpr: mean total precipitation rate [kg m**-2 s**-1]

cdd: cooling degree days [deg C]

prediction: demand prediction [MWh]


 

How to cite this repository

If using these data, please cite the original publication, available from https://iopscience.iop.org/article/10.1088/1748-9326/ad9b3b, and also this repository.
DOI: 10.15468/dl.c53axh
title: Occurrence Download

description: A dataset containing 110111085 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 110111085 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012361-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18275658
title: Eryngium 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 16:46
DOI: 10.15468/dl.wuut83
title: Occurrence Download

description: A dataset containing 1810 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Belonesox belizanus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1810 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015766-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18275659
title: Eryngium balansae H.Wolff. 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.18275660
title: Eryngium balansae H.Wolff. 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.vbt25h
title: Occurrence Download

description: A dataset containing 143043 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erigeron annuus",
 "Country is Switzerland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 143043 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015762-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18275663
title: Eryngium chamissonis Urb. 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.18275662
title: Eryngium chamissonis Urb. 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