cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22002/tga7s-9zs27
title: Vibrio cholerae

description: Raw data files of Vibrio cholerae
description: <strong>Tilt Series Date:</strong> 2008-06-21</p>
<strong>Data Taken By:</strong> Zhuo Li</p>
<strong>Species / Specimen:</strong> Vibrio cholerae</p>
<strong>Strain:</strong> TRH7000</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-63.0°, 63.0°), step: 1°, constant angular increment, dosage: 200.0 eV/Å²,  defocus: -12.0 μm,  magnification: 0x. </p>
<strong>Acquisition Software:</strong> Leginon</p>
<strong>Upload Method:</strong> webload</p>
<strong>Processing Software Used:</strong> </p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/zla2008-06-21-8/rawdata/</p>fixedmt19662208200eucsf001.mrc,  Tilt Series (Pixel Size 0.941 nm), 1.1 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/zla2008-06-21-8/rawdata/fixedmt19662208200eucsf001.mrc"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.pnes5d
title: Occurrence Download

description: A dataset containing 39641 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Rudbeckia hirta",
 "Year 1901-2025"
 ]
}

 The dataset includes 39641 records from 246 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048497-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15544594
title: 2013 - London -L2, L3, L4, L10, RAW

description: University of Reading Grimmond Urban Micromet Group

City: London

Year: 2013

Sites: multiple 

Data Levels: L2

See also:
DOI: 10.5281/zenodo.15544595
title: 2013 - London -L2, L3, L4, L10, RAW

description: University of Reading Grimmond Urban Micromet Group

City: London

Year: 2013

Sites: multiple 

Data Levels: L2

See also:
DOI: 10.15468/dl.htmzvd
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Herbarium specimens of Jardins botaniques and Conservatoire Botanique of Nancy (NCY)",
 "Country is Croatia"
 ]
}

 The dataset includes 21 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006646-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r6nzme
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Diptera Holarctic (MZH/Luomus, Helsinki, Finland)",
 "Country is Croatia"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006644-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c2vqyc
title: Occurrence Download

description: A dataset containing 981 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Monitoreo de la ocupación del Oso Andino (Tremarctos ornatus) en el Parque Nacional Natural Chingaza"
 ]
}

 The dataset includes 981 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018288-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00012461.0
title: Available datapackage for study 'A Randomised, Double-Blind, Multinational Study to Prevent Major Vascular Events With Ticagrelor Compared to Aspirin (ASA) in Patients With Acute Ischaemic Stroke or TIA.'

description: The primary objective of the study is to compare the effect of 90-day treatment with ticagrelor (180 mg \[two 90 mg tablets\] loading dose on Day 1 followed by 90 mg twice daily maintenance dose for the remainder of the study) vs acetylsalicylic acid (ASA)-aspirin (300 mg \[three 100 mg tablets\] loading dose on Day 1 followed by 100 mg once daily maintenance dose for the remainder of the study) for the prevention of major vascular events (composite of stroke, myocardial infarction \[MI\], and death) in patients with acute ischaemic stroke or transient ischaemic attack (TIA).
DOI: 10.15468/dl.86gy4b
title: Occurrence Download

description: A dataset containing 821 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Paeonia broteri"
 ]
}

 The dataset includes 821 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018289-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18291961
title: Oxalis niederleinii R.Knuth. 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 16:51
DOI: 10.5281/zenodo.18291960
title: Oxalis niederleinii R.Knuth. 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 16:51
DOI: 10.15468/dl.q8szx3
title: Occurrence Download

description: A dataset containing 214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Paeonia coriacea"
 ]
}

 The dataset includes 214 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018290-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18291967
title: Oxalis ostenii Arechav. 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 16:51
DOI: 10.5281/zenodo.18291966
title: Oxalis ostenii Arechav. 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 16:51
DOI: 10.3886/e244414
title: Vaccine Hesitancy for COVID-19: County and local estimates

description: Due to the change in the survey instrument regarding intention to vaccinate, our estimates for “hesitant or unsure” or “hesitant” derived from April 14-26, 2021, are not directly comparable with prior Household Pulse Survey data and should not be used to examine trends in hesitancy.

To support state and local communication and outreach efforts, ASPE developed state, county, and sub-state level predictions of hesitancy rates (https://aspe.hhs.gov/pdf-report/vaccine-hesitancy) using the most recently available federal survey data.

We estimate hesitancy rates at the state level using the U.S. Census Bureau’s Household Pulse Survey (HPS) (https://www.census.gov/programs-surveys/household-pulse-survey.html) data and utilize the estimated values to predict hesitancy rates at the Public Use Microdata Areas (PUMA) level using the Census Bureau’s 2019 American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS)(https://www.census.gov/programs-surveys/acs/microdata.html). To create county-level estimates, we used a PUMA-to-county crosswalk from the Missouri Census Data Center(https://mcdc.missouri.edu/applications/geocorr2014.html). PUMAs spanning multiple counties had their estimates apportioned across those counties based on overall 2010 Census populations.

The HPS is nationally representative and includes information on U.S. residents’ intentions to receive the COVID-19 vaccine when available, as well as other sociodemographic and geographic (state, region and metropolitan statistical areas) information. The ACS is a nationally representative survey, and it provides key sociodemographic and geographic (state, region, PUMAs, county) information. We utilized data for the survey collection period May 26, 2021 – June 7, 2021, which the HPS refers to as Week 31..

PUMA COVID-19 Hesitancy Data - https://data.cdc.gov/Vaccinations/Vaccine-Hesitancy-for-COVID-19-Public-Use-Microdat/djj9-kh3p
Read less
description: (Downloaded 1/16/2026)
DOI: 10.3886/e244414v1
title: Vaccine Hesitancy for COVID-19: County and local estimates

description: Due to the change in the survey instrument regarding intention to vaccinate, our estimates for “hesitant or unsure” or “hesitant” derived from April 14-26, 2021, are not directly comparable with prior Household Pulse Survey data and should not be used to examine trends in hesitancy.

To support state and local communication and outreach efforts, ASPE developed state, county, and sub-state level predictions of hesitancy rates (https://aspe.hhs.gov/pdf-report/vaccine-hesitancy) using the most recently available federal survey data.

We estimate hesitancy rates at the state level using the U.S. Census Bureau’s Household Pulse Survey (HPS) (https://www.census.gov/programs-surveys/household-pulse-survey.html) data and utilize the estimated values to predict hesitancy rates at the Public Use Microdata Areas (PUMA) level using the Census Bureau’s 2019 American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS)(https://www.census.gov/programs-surveys/acs/microdata.html). To create county-level estimates, we used a PUMA-to-county crosswalk from the Missouri Census Data Center(https://mcdc.missouri.edu/applications/geocorr2014.html). PUMAs spanning multiple counties had their estimates apportioned across those counties based on overall 2010 Census populations.

The HPS is nationally representative and includes information on U.S. residents’ intentions to receive the COVID-19 vaccine when available, as well as other sociodemographic and geographic (state, region and metropolitan statistical areas) information. The ACS is a nationally representative survey, and it provides key sociodemographic and geographic (state, region, PUMAs, county) information. We utilized data for the survey collection period May 26, 2021 – June 7, 2021, which the HPS refers to as Week 31..

PUMA COVID-19 Hesitancy Data - https://data.cdc.gov/Vaccinations/Vaccine-Hesitancy-for-COVID-19-Public-Use-Microdat/djj9-kh3p
Read less
description: (Downloaded 1/16/2026)
DOI: 10.5281/zenodo.18291978
title: Oxalis paludosa A.St.-Hil. 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 16:51
DOI: 10.5281/zenodo.18291977
title: Oxalis paludosa A.St.-Hil. 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 16:51
DOI: 10.5281/zenodo.18285767
title: SAFA Official Dataset

description: Contains the official SAFA dataset artifacts released as part of "Real-World Traceability Patterns for Generative AI Systems: With Insights from the SAFA Dataset" published in RAISE 2026 held in conjunction with ICSE 2026. This contains a snapshot of the projects natural language artifacts as well as the source code. The on-going source code project can be found https://github.com/ND-SAFA/safa.

If you use this dataset, please cite:

Katherine R. Dearstyne, Jane Cleland-Huang, and Alberto Rodriguez. 2026. Real-World Traceability Patterns for Generative AI Systems: With Insights from the SAFA Dataset. In Proceedings of the 2nd International Workshop on Requirements Engineering for AI-powered SoftwarE (RAISE '26), April 12–18, 2026, Rio de Janeiro, Brazil. ACM.https://doi.org/10.1145/3786174.3788354
DOI: 10.5281/zenodo.18291988
title: Oxalis paraguayensis  Chodat. 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 16:51
DOI: 10.5281/zenodo.18285766
title: SAFA Official Dataset

description: Contains the official SAFA dataset artifacts released as part of "Real-World Traceability Patterns for Generative AI Systems: With Insights from the SAFA Dataset" published in RAISE 2026 held in conjunction with ICSE 2026. This contains a snapshot of the projects natural language artifacts as well as the source code. The on-going source code project can be found https://github.com/ND-SAFA/safa.

If you use this dataset, please cite:

Katherine R. Dearstyne, Jane Cleland-Huang, and Alberto Rodriguez. 2026. Real-World Traceability Patterns for Generative AI Systems: With Insights from the SAFA Dataset. In Proceedings of the 2nd International Workshop on Requirements Engineering for AI-powered SoftwarE (RAISE '26), April 12–18, 2026, Rio de Janeiro, Brazil. ACM.https://doi.org/10.1145/3786174.3788354
DOI: 10.5281/zenodo.18291987
title: Oxalis paraguayensis  Chodat. 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 16:51
DOI: 10.5281/zenodo.18289771
title: IndIGO-D analysis data release

description: This material is associated with the following preprint: IndIGO-D: Probing Compact Binary Coalescences in the Decihertz GW Band, https://doi.org/10.48550/arXiv.2601.06956. The dataset contains: 1) the simulated gravitational wave data generated in IndIGO-D, Einstein Telescope, and a network of following detectors: LIGO Aundha, LIGO Livingston, LIGO Hanford, and Virgo, 2) the posterior samples obtained from various parameter estimation analyses presented in the paper.
DOI: 10.5281/zenodo.18289772
title: IndIGO-D analysis data release

description: This material is associated with the following preprint: IndIGO-D: Probing Compact Binary Coalescences in the Decihertz GW Band, https://doi.org/10.48550/arXiv.2601.06956. The dataset contains: 1) the simulated gravitational wave data generated in IndIGO-D, Einstein Telescope, and a network of following detectors: LIGO Aundha, LIGO Livingston, LIGO Hanford, and Virgo, 2) the posterior samples obtained from various parameter estimation analyses presented in the paper.
DOI: 10.3886/e244415
title: Vaccine Hesitancy for COVID-19: Public Use Microdata Areas (PUMAs)

description: Due to the change in the survey instrument regarding intention to vaccinate, our estimates for “hesitant or unsure” or “hesitant” derived from April 14-26, 2021, are not directly comparable with prior Household Pulse Survey data and should not be used to examine trends in hesitancy.

To support state and local communication and outreach efforts, ASPE developed state, county, and sub-state level predictions of hesitancy rates(https://aspe.hhs.gov/pdf-report/vaccine-hesitancy) using the most recently available federal survey data.

We estimate hesitancy rates at the state level using the U.S. Census Bureau’s Household Pulse Survey (HPS)(https://www.census.gov/programs-surveys/household-pulse-survey.html) data and utilize the estimated values to predict hesitancy rates in more granular areas using the Census Bureau’s 2019 American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS)(https://www.census.gov/programs-surveys/acs/microdata.html). Public Use Microdata Areas (PUMA) level – PUMAs are geographic areas within each state that contain no fewer than 100,000 people. PUMAs can consist of part of a single densely populated county or can combine parts or all of multiple counties that are less densely populated.

The HPS is nationally representative and includes information on U.S. residents’ intentions to receive the COVID-19 vaccine when available, as well as other sociodemographic and geographic (state, region and metropolitan statistical areas) information. The ACS is a nationally representative survey, and it provides key sociodemographic and geographic (state, region, PUMAs, county) information. We utilized data for the survey collection period May 26, 2021 – June 7, 2021, which the HPS refers to as Week 31.


County and State Hesitancy Data - https://data.cdc.gov/Vaccinations/Vaccine-Hesitancy-for-COVID-19-County-and-local-es/q9mh-h2tw
Read less
description: (Downloaded 1/16/2026)
DOI: 10.3886/e244415v1
title: Vaccine Hesitancy for COVID-19: Public Use Microdata Areas (PUMAs)

description: Due to the change in the survey instrument regarding intention to vaccinate, our estimates for “hesitant or unsure” or “hesitant” derived from April 14-26, 2021, are not directly comparable with prior Household Pulse Survey data and should not be used to examine trends in hesitancy.

To support state and local communication and outreach efforts, ASPE developed state, county, and sub-state level predictions of hesitancy rates(https://aspe.hhs.gov/pdf-report/vaccine-hesitancy) using the most recently available federal survey data.

We estimate hesitancy rates at the state level using the U.S. Census Bureau’s Household Pulse Survey (HPS)(https://www.census.gov/programs-surveys/household-pulse-survey.html) data and utilize the estimated values to predict hesitancy rates in more granular areas using the Census Bureau’s 2019 American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS)(https://www.census.gov/programs-surveys/acs/microdata.html). Public Use Microdata Areas (PUMA) level – PUMAs are geographic areas within each state that contain no fewer than 100,000 people. PUMAs can consist of part of a single densely populated county or can combine parts or all of multiple counties that are less densely populated.

The HPS is nationally representative and includes information on U.S. residents’ intentions to receive the COVID-19 vaccine when available, as well as other sociodemographic and geographic (state, region and metropolitan statistical areas) information. The ACS is a nationally representative survey, and it provides key sociodemographic and geographic (state, region, PUMAs, county) information. We utilized data for the survey collection period May 26, 2021 – June 7, 2021, which the HPS refers to as Week 31.


County and State Hesitancy Data - https://data.cdc.gov/Vaccinations/Vaccine-Hesitancy-for-COVID-19-County-and-local-es/q9mh-h2tw
Read less
description: (Downloaded 1/16/2026)
DOI: 10.5281/zenodo.18292006
title: Oxalis perdicaria (Molina) Bertero. 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 16:51
DOI: 10.5281/zenodo.18292007
title: Oxalis perdicaria (Molina) Bertero. 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 16:51
DOI: 10.34740/kaggle/dsv/14539934
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.18292010
title: Oxalis pes-caprae 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 16:51
DOI: 10.5281/zenodo.18292011
title: Oxalis pes-caprae 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 16:51
DOI: 10.3886/e244416
title: Weekly Cumulative Doses (in Millions) of Influenza Vaccine Distributed by Flu Season in the United States

description: Weekly Cumulative Doses (in Millions) of Influenza Vaccine Distributed by Flu Season in the United States

• Archived data are available here: https://data.cdc.gov/resource/e5zk-7tx5
• Flu vaccine is produced by private manufacturers, so supply depends on manufacturers. Vaccine manufacturers have projected that they will supply the United States with as many as 173.5 million to 183.5 million doses of influenza vaccines for the 2022-2023 season.
• Additional information is available: https://www.cdc.gov/flu/prevent/vaccine-supply-distribution.htm.
Read less
description: (Downloaded 1/16/2026)
DOI: 10.3886/e244416v1
title: Weekly Cumulative Doses (in Millions) of Influenza Vaccine Distributed by Flu Season in the United States

description: Weekly Cumulative Doses (in Millions) of Influenza Vaccine Distributed by Flu Season in the United States

• Archived data are available here: https://data.cdc.gov/resource/e5zk-7tx5
• Flu vaccine is produced by private manufacturers, so supply depends on manufacturers. Vaccine manufacturers have projected that they will supply the United States with as many as 173.5 million to 183.5 million doses of influenza vaccines for the 2022-2023 season.
• Additional information is available: https://www.cdc.gov/flu/prevent/vaccine-supply-distribution.htm.
Read less
description: (Downloaded 1/16/2026)
DOI: 10.5281/zenodo.18292015
title: Oxalis philippii R.Knuth. 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 16:51
DOI: 10.5281/zenodo.18292016
title: Oxalis philippii R.Knuth. 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 16:51
DOI: 10.15468/dl.98uhxc
title: Occurrence Download

description: A dataset containing 83622 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Larrea tridentata",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 83622 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018278-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18292019
title: Oxalis platensis A.St.-Hil. & Naudin. 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 16:51
DOI: 10.5281/zenodo.18292020
title: Oxalis platensis A.St.-Hil. & Naudin. 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 16:51
DOI: 10.3886/e238221v1-197765
title: CEO Military Experience and Corporate Digital-Green Synergy

description: We explore the impact of CEO military experience on corporate digital-green synergy.
DOI: 10.5281/zenodo.18292022
title: Oxalis praecox Progel. 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 16:51
DOI: 10.5281/zenodo.18292023
title: Oxalis praecox Progel. 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 16:51