cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18241817
title: Andropogon sorghum subvar. longearistatus Hack. 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 16:42
DOI: 10.5281/zenodo.18241816
title: Andropogon sorghum subvar. longearistatus Hack. 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 16:42
DOI: 10.25340/r4/oxw9xz
title: Related Data for: Digital crossings: A case study of a knowledge mobilisation approach for translating research into practice

description: There is increasing emphasis on the importance of knowledge mobilisation, also known as knowledge translation, knowledge exchange, knowledge transfer, so that research findings are moved into action by stakeholders such as policymakers, practitioners and the broader public. While disseminating one’s research digitally is a promising gateway for knowledge produced to have a greater reach, education researchers are least equipped to use digital methods, compared to other methods. Applying Bernstein’s (2000) concept of recontextualisation with a proposed KM framework, we examine how the discourses of research are selectively appropriated, relocated, refocused and related to the discourse of practice through the translational process in one case study of a project website featuring education research within the Singapore context. Principles for successful recontextualisation drawn from this case study include: (1) educated hunches about key ideas for practical translation, (2) familiarity with specific audience needs, (3) awareness of discourse rules for engagement through specific digital modes. This article contributes towards demonstrating the value and productivity of Bernstein’s (2000) recontextualisation on research via digital media to engage varied audiences beyond the academia. The article concludes with recommendations on the systemic support needed to help researchers build a repertoire of practice for the translational process with the ultimate goal of moving evidence into action.
DOI: 10.15468/dl.vtyfkx
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.25.58_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 17 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008432-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nhdxc6
title: Occurrence Download

description: A dataset containing 324 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quercus variabilis",
 "Year 1970-2000"
 ]
}

 The dataset includes 324 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008433-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18241819
title: THE HISTORY OF THE DEVELOPMENT OF MUSIC AND CULTURE

description: This article looks at the history of music and culture, and discusses the work of Uzbek musicians who have contributed to the development of music culture.
DOI: 10.5281/zenodo.18241818
title: THE HISTORY OF THE DEVELOPMENT OF MUSIC AND CULTURE

description: This article looks at the history of music and culture, and discusses the work of Uzbek musicians who have contributed to the development of music culture.
DOI: 10.15468/dl.qg4rfm
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"IND.2.3_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 27 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008434-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p5hnc9
title: Occurrence Download

description: A dataset containing 1819 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aristolochia contorta"
 ]
}

 The dataset includes 1819 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008435-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18241833
title: Andropogon selloanus (Hack.) Hack. 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 16:42
DOI: 10.5281/zenodo.18241834
title: Andropogon selloanus (Hack.) Hack. 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 16:42
DOI: 10.5281/zenodo.18241311
title: DGS-History literature review
DOI: 10.5281/zenodo.18241310
title: DGS-History literature review
DOI: 10.5281/zenodo.18241836
title: Andropogon ternatus (Spreng.) Nees. 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 16:42
DOI: 10.5281/zenodo.18241837
title: Andropogon ternatus (Spreng.) Nees. 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 16:42
DOI: 10.5281/zenodo.18241839
title: Andropogon villosus Lam. 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 16:42
DOI: 10.5281/zenodo.18241838
title: Andropogon villosus Lam. 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 16:42
DOI: 10.15468/dl.ujuub7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.25.59_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008436-260108223611665/datasets/export for details.
DOI: 10.15468/qys33g
title: Australian Microbiome 16S (Archaea) Dataset of Aquatic Samples

description: Amplicon sequencing from Australian Aquatic environments[This dataset was processed using the GBIF Metabarcoding Data Toolkit.]
DOI: 10.18715/ipgp.2025.mhoxy84p
title: IGRF14 ASM-V 2014-2024 parent model

description: This directory contains the model and script to compute the geomagnetic magnetic field predicted by the IGRF14 ASM-V 2014-2024 parent model.
DOI: 10.5281/zenodo.18241847
title: Andropogon villosus (Nees) Ekman. 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 16:42
DOI: 10.5281/zenodo.18241848
title: Andropogon villosus (Nees) Ekman. 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 16:42
DOI: 10.15468/dl.ud8d6a
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"IND.2.4_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 22 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008438-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/8g60-r594
title: "SemanticForestMY 1.0"

description: "SemanticForestMY 1.0 is a spatio-temporal satellite imagery dataset designed for binary semantic segmentation of forest and non-forest land cover in Malaysia. The dataset was collected using Google Earth Pro based on Landsat-derived observations and covers three ecologically significant tropical regions: Endau Rompin (2\u00b030\u203242.20\u2033 N, 103\u00b032\u203256.39\u2033 E), Royal Belum (5\u00b047\u20329.93\u2033 N, 101\u00b030\u203251.44\u2033 E), and Tasik Chini (3\u00b022\u203232.82\u2033 N, 102\u00b036\u203211.18\u2033 E). To support long-term deforestation and land-cover change analysis, satellite images were selected from three temporal periods (1990, 2000, and 2010). All imagery is provided in PNG format with a maximum spatial resolution of 8192 \u00d7 4883 pixels, corresponding to an approximate ground coverage of 137,500 m per image. Ground truth segmentation masks were generated using an assisted annotation framework and further refined through manual correction to reduce labeling ambiguity in mixed land-cover regions. Images and masks were partitioned into non-overlapping 224 \u00d7 224 pixel tiles, producing 756 tiles per study area for each time period. The dataset is released with standardized splits consisting of 4,761 training tiles, 675 validation tiles, and 1,368 testing tiles, enabling fair benchmarking under consistent experimental conditions. SemanticForestMY 1.0 supports research in deep learning\u2013based forest mapping, land-cover monitoring, and spatio-temporal change detection using remote sensing imagery."
DOI: 10.5284/1137938
title: Digital Archive from Archaeological Evaluations and Excavations of the A12 between Chelmsford and the A120, 2023 to 2024

description: This collection consists of images, spreadsheets, reports GIS and site record data from archaeological evaluations and excavations by Headlands Archaeology. Work occurred at various sites along the A12 between Chelmsford and the A120, from July 2023 to February 2024.
DOI: 10.15468/dl.gdhsn6
title: Occurrence Download

description: A dataset containing 923 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Huperzia serrata, Huperzia selago, Huperzia emeiensis, Huperzia chinensis)"
 ]
}

 The dataset includes 923 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008437-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5222rk66
title: MassIVE MSV000100468 - Tissue-layer resolved proteome landscape of Crohns disease strictures highlights potential drivers of fibrosis progression
title: The chronic inflammation of Crohns disease frequently leads to fibrosis and muscular hypertrophy of the intestinal wall. This often culminates in strictures, a serious condition lacking directed therapy. Severe pathological changes occur in the submucosa and muscularis propria intestinal wall layers of strictures, yet stricture-associated proteome changes in these layers is unexplored. We perform unbiased proteomics on submucosa and muscularis propria microdissected from transmural sections of strictured and non-strictured ileum. Proteome changes in stricture submucosa reflect a transition from homeostasis to tissue remodeling, inflammation and smooth muscle alterations. Top submucosa features include reduced vascular components and lipid metabolism proteins accompanied by increased proteins with immune-, matrix- or stress functions including CTHRC1, TNC, IL16, MZB1 and TXNDC5. In parallel, predominant changes in stricture muscularis propria include increased matrix (POSTN) and immune (mast cell CPA3) proteins alongside decreased proteins with lipid metabolic, mitochondrial or key muscle functions. Finally, trends of differentially expressed proteins along non-stricture submucosa suggest progressive profibrotic tissue remodeling and muscle expansion as proximity to stricture increases. The comprehensive proteome map presented here offers unique layer-resolved insight into the stricture microenvironment and potential drivers of fibrotic disease, providing a unique resource to fuel research toward new biomarkers and therapeutic targets.
DOI: 10.15468/3s7eec
title: Australian Microbiome 18S (Eukaryote) Dataset of Aquatic Samples

description: Amplicon sequencing from Australian Aquatic environments[This dataset was processed using the GBIF Metabarcoding Data Toolkit.]
DOI: 10.15468/dl.7wpaf9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.25.60_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008439-260108223611665/datasets/export for details.
DOI: 10.15468/dl.428bpg
title: Occurrence Download

description: A dataset containing 146010 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is France",
 "DatasetKey is one of (The vascular plants collection (P) at the Herbarium of the Muséum national d'Histoire Naturelle (MNHN - Paris), The cryptogamy collection (PC) at the Herbarium of the Muséum national d'Histoire Naturelle (MNHN - Paris), The molluscs collection (IM) of the Muséum national d'Histoire naturelle (MNHN - Paris), The reptiles and amphibians collection (RA) of the Muséum national d'Histoire Naturelle (MNHN - Paris), The birds collection (ZO) of the Muséum national d'Histoire Naturelle (MNHN - Paris), The mammals collection (ZM) of the Muséum national d'Histoire naturelle (MNHN - Paris), The Hymenoptera collection (EY) of the Muséum national d'Histoire naturelle (MNHN - Paris), The Coleoptera collection (EC) of the Muséum national d'Histoire naturelle (MNHN - Paris), The Myriapoda & Onychophora collection (MY) of the Muséum national d'Histoire naturelle (MNHN - Paris))",
 "OccurrenceStatus is Present",
 "PublishingOrg is 2cd829bb-b713-433d-99cf-64bef11e5b3e"
 ]
}

 The dataset includes 146010 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008428-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmq8cs
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"IND.2.5_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 81 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008441-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3x7tn3
title: Occurrence Download

description: A dataset containing 11924 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Germany",
 "OccurrenceStatus is Present",
 "TaxonKey is Procyon lotor",
 {
 "or" : [
 "Year 2000-2025",
 "Year 1980-2000"
 ]
 }
 ]
}

 The dataset includes 11924 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008440-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zrw4js
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Juglans regia",
 "Year 1970-2000"
 ]
}

 The dataset includes 143 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008442-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18241853
title: O'Z-O'ZINI BAHOLASH TUSHUNCHASI

description: Mazkur ishda o‘z-o‘zini baholash tushunchasining psixologik mohiyati yoritilgan. O‘z-o‘zini baholash shaxsning o‘z imkoniyatlari, qobiliyatlari va ijtimoiy muhitdagi o‘rniga nisbatan subyektiv munosabatini ifodalovchi muhim psixologik omil sifatida tahlil qilinadi. Tadqiqotda o‘z-o‘zini baholashning shakllanish omillari, uning darajalari hamda shaxs xulq-atvori va faoliyatiga ta’siri ilmiy manbalar asosida ko‘rib chiqiladi. Olingan xulosalar o‘z-o‘zini baholashni to‘g‘ri shakllantirish shaxsning psixologik barqarorligi, ijtimoiy moslashuvi va muvaffaqiyatli faoliyatini ta’minlashda muhim ahamiyatga ega ekanini ko‘rsatadi.
DOI: 10.5281/zenodo.18241854
title: O'Z-O'ZINI BAHOLASH TUSHUNCHASI

description: Mazkur ishda o‘z-o‘zini baholash tushunchasining psixologik mohiyati yoritilgan. O‘z-o‘zini baholash shaxsning o‘z imkoniyatlari, qobiliyatlari va ijtimoiy muhitdagi o‘rniga nisbatan subyektiv munosabatini ifodalovchi muhim psixologik omil sifatida tahlil qilinadi. Tadqiqotda o‘z-o‘zini baholashning shakllanish omillari, uning darajalari hamda shaxs xulq-atvori va faoliyatiga ta’siri ilmiy manbalar asosida ko‘rib chiqiladi. Olingan xulosalar o‘z-o‘zini baholashni to‘g‘ri shakllantirish shaxsning psixologik barqarorligi, ijtimoiy moslashuvi va muvaffaqiyatli faoliyatini ta’minlashda muhim ahamiyatga ega ekanini ko‘rsatadi.
DOI: 10.5281/zenodo.18223777
title: EMGLAB downsample analysis data

description: Data generated using the EMGLAB downsample pipeline on the EMGLAB dataset.
DOI: 10.5281/zenodo.18223778
title: EMGLAB downsample analysis data

description: Data generated using the EMGLAB downsample pipeline on the EMGLAB dataset.
DOI: 10.15468/dl.3u634d
title: Occurrence Download

description: A dataset containing 267522 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Natural History Museum Aarhus Entomology Collection"
 ]
}

 The dataset includes 267522 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008427-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2r9uck
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.25.61_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 73 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008443-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18241889
title: Andropogon semiberbis (Nees) Kunth. 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 16:42
DOI: 10.5281/zenodo.18241890
title: Andropogon semiberbis (Nees) Kunth. 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 16:42