cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18237541
title: Christella dentata (Forssk.) Brownsey & Jermy. 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 16:32
DOI: 10.5281/zenodo.18237542
title: Christella dentata (Forssk.) Brownsey & Jermy. 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 16:32
DOI: 10.15468/dl.u7neq6
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"UZB.5.5_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 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007527-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7zjqt6
title: Occurrence Download

description: A dataset containing 9181 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Casuarius casuarius (Linnaeus, 1758)"
 ]
}

 The dataset includes 9181 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010840-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2jyspz
title: CCDC 2352332: Experimental Crystal Structure Determination

description: Related Article: Connor Bourne, Huanhuan Dong, Katharine McKain, Lena C. Mayer, Aidan P. McKay, David B. Cordes, Alexandra M. Z. Slawin, Andreas Stasch|2024|Dalton Trans.|53|9887|doi:10.1039/D4DT01298D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jysq0
title: CCDC 2352333: Experimental Crystal Structure Determination

description: Related Article: Connor Bourne, Huanhuan Dong, Katharine McKain, Lena C. Mayer, Aidan P. McKay, David B. Cordes, Alexandra M. Z. Slawin, Andreas Stasch|2024|Dalton Trans.|53|9887|doi:10.1039/D4DT01298D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jysr1
title: CCDC 2352334: Experimental Crystal Structure Determination

description: Related Article: Connor Bourne, Huanhuan Dong, Katharine McKain, Lena C. Mayer, Aidan P. McKay, David B. Cordes, Alexandra M. Z. Slawin, Andreas Stasch|2024|Dalton Trans.|53|9887|doi:10.1039/D4DT01298D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jyss2
title: CCDC 2352335: Experimental Crystal Structure Determination

description: Related Article: Connor Bourne, Huanhuan Dong, Katharine McKain, Lena C. Mayer, Aidan P. McKay, David B. Cordes, Alexandra M. Z. Slawin, Andreas Stasch|2024|Dalton Trans.|53|9887|doi:10.1039/D4DT01298D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jyst3
title: CCDC 2352336: Experimental Crystal Structure Determination

description: Related Article: Connor Bourne, Huanhuan Dong, Katharine McKain, Lena C. Mayer, Aidan P. McKay, David B. Cordes, Alexandra M. Z. Slawin, Andreas Stasch|2024|Dalton Trans.|53|9887|doi:10.1039/D4DT01298D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21wj2k
title: CCDC 1903278: Experimental Crystal Structure Determination

description: Related Article: Thamodharan Viswanathan, Ezhumalai David, Selvam Prabu, Kamini Mishra, Muthuramalingam Prakash, Swaminathan Shanmugan, Nallasamy Palanisami|2024|New J.Chem.|48|10717|doi:10.1039/D4NJ01199F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g6tl3
title: CCDC 2270675: Experimental Crystal Structure Determination

description: Related Article: Manish Kumar, Hari Pada Nayek|2024|Dalton Trans.|53|9827|doi:10.1039/D4DT00646A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.2ca8kg
title: Occurrence Download

description: A dataset containing 21741362 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lamiales"
 ]
}

 The dataset includes 21741362 records from 3172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006047-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15395650
title: Computational Analysis of the Zoo-Lexicon in Podillia Region Folk Songs

description: This dataset supports a computational analysis of animal-related vocabulary (zoo-lexicon) in Ukrainian folk songs from the Podillia region. Drawing from a corpus of 2,762 songs, the study uses a custom R script to examine the frequency, grammatical number and gender, distribution across genres, and semantic co-occurrence of zoo-lexical elements.

The research was conducted using the R programming language (version 4.4.1) and RStudio (version 2024.04.2+764) at the Estonian Literary Museum.

This dataset includes the following files:



corpus_Podillia_folk_songs.csv – A structured corpus of Ukrainian folk songs from the Podillia region, compiled from multiple printed sources. It includes metadata and text used for zoo-lexicon analysis.

zoo_lexicon_analysis_Ukrainian_folk_songs.R – An R script that implements the full zoo-lexical analysis workflow, including dictionary construction, frequency analysis, grammatical feature extraction, genre distribution evaluation, and semantic network visualization.
DOI: 10.5281/zenodo.15395651
title: Computational Analysis of the Zoo-Lexicon in Podillia Region Folk Songs

description: This dataset supports a computational analysis of animal-related vocabulary (zoo-lexicon) in Ukrainian folk songs from the Podillia region. Drawing from a corpus of 2,762 songs, the study uses a custom R script to examine the frequency, grammatical number and gender, distribution across genres, and semantic co-occurrence of zoo-lexical elements.

The research was conducted using the R programming language (version 4.4.1) and RStudio (version 2024.04.2+764) at the Estonian Literary Museum.

This dataset includes the following files:



corpus_Podillia_folk_songs.csv – A structured corpus of Ukrainian folk songs from the Podillia region, compiled from multiple printed sources. It includes metadata and text used for zoo-lexicon analysis.

zoo_lexicon_analysis_Ukrainian_folk_songs.R – An R script that implements the full zoo-lexical analysis workflow, including dictionary construction, frequency analysis, grammatical feature extraction, genre distribution evaluation, and semantic network visualization.
DOI: 10.5281/zenodo.15395728
title: Global citizen science data on mammals from iNaturalist

description: This dataset on mammals includes observation counts from iNaturalist and species traits compiled from various sources. Additionally, we provide an appendix and the R scripts used in a submitted paper.
DOI: 10.5281/zenodo.15395729
title: Global citizen science data on mammals from iNaturalist

description: This dataset on mammals includes observation counts from iNaturalist and species traits compiled from various sources. Additionally, we provide an appendix and the R scripts used in a submitted paper.
DOI: 10.5281/zenodo.15395556
title: Three-dimensional genome architecture connects chromatin structure and function in a major wheat pathogen

description: This directory contains all the files containing the source data used for generating the Figures and Tables of Glavincheska & Lorrain, entitled "Three-dimensional genome architecture connects chromatin structure and function in a major wheat pathogen".
DOI: 10.5281/zenodo.15395557
title: Three-dimensional genome architecture connects chromatin structure and function in a major wheat pathogen

description: This directory contains all the files containing the source data used for generating the Figures and Tables of Glavincheska & Lorrain, entitled "Three-dimensional genome architecture connects chromatin structure and function in a major wheat pathogen".
DOI: 10.15468/dl.mq6w9h
title: Occurrence Download

description: A dataset containing 1963768 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anas poecilorhyncha J.R.Forster, 1781, Anas zonorhyncha Swinhoe, 1866, Anser albifrons (Scopoli, 1769), Anser anser (Linnaeus, 1758), Anser caerulescens (Linnaeus, 1758), Anser cygnoides (Linnaeus, 1758), Anser erythropus (Linnaeus, 1758), Anser fabalis (Latham, 1787), Anser indicus (Latham, 1790), Anser serrirostris Gould, 1852, Asarcornis scutulata (S.Müller, 1842), Aythya affinis (Eyton, 1838), Aythya baeri (Radde, 1863), Aythya collaris (Donovan, 1809), Aythya ferina (Linnaeus, 1758), Aythya fuligula (Linnaeus, 1758), Aythya marila (Linnaeus, 1761), Aythya nyroca (Güldenstädt, 1770), Aythya valisineria (A.Wilson, 1814), Branta bernicla (Linnaeus, 1758), Branta canadensis (Linnaeus, 1758), Branta hutchinsii (Richardson, 1832), Branta leucopsis (Bechstein, 1803), Branta ruficollis (Pallas, 1769), Bucephala clangula (Linnaeus, 1758), Clangula hyemalis (Linnaeus, 1758), Cygnus columbianus (Ord, 1815), Cygnus cygnus (Linnaeus, 1758), Cygnus olor (J.F.Gmelin, 1789), Dendrocygna javanica (Horsfield, 1821), Histrionicus histrionicus (Linnaeus, 1758), Mareca americana (J.F.Gmelin, 1789), Mareca falcata (Georgi, 1775), Mareca penelope (Linnaeus, 1758), Mareca strepera (Linnaeus, 1758), Marmaronetta angustirostris (Ménétries, 1832), Melanitta americana (Swainson, 1832), Melanitta fusca (Linnaeus, 1758), Melanitta stejnegeri (Ridgway, 1887), Mergellus albellus (Linnaeus, 1758), Mergus merganser Linnaeus, 1758, Mergus serrator Linnaeus, 1758, Mergus squamatus Gould, 1864, Netta rufina (Pallas, 1773), Nettapus coromandelianus (J.F.Gmelin, 1789), Oxyura leucocephala (Scopoli, 1769), Polysticta stelleri (Pallas, 1769), Sarkidiornis melanotos (Pennant, 1769), Sibirionetta formosa (Georgi, 1775), Spatula clypeata (Linnaeus, 1758), Spatula querquedula (Linnaeus, 1758), Tadorna ferruginea (Pallas, 1764), Tadorna tadorna (Linnaeus, 1758), Aceros nipalensis (Hodgson, 1829), Anorrhinus austeni Jerdon, 1872, Anthracoceros albirostris (Shaw, 1808), Buceros bicornis Linnaeus, 1758, Rhyticeros undulatus (Shaw, 1812), Upupa epops Linnaeus, 1758, Aerodramus brevirostris (Horsfield, 1840))",
 "Geometry POLYGON((73.4990129 3.8378886,135.0873769 3.8378886,135.0873769 53.5616571,73.4990129 53.5616571,73.4990129 3.8378886))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset includes 1963768 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028168-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25810/s7n-vh24.63
title: African Newspaper Coverage of Climate Change or Global Warming, 2004-2025 April 2025

description: The Media and Climate Change Observatory Data monitors 117 sources (across newspapers, radio and TV) in 55 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/media_coverage.
DOI: 10.15468/dl.4genne
title: Occurrence Download

description: A dataset containing 119382 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mammalogy Collection - Royal Ontario Museum"
 ]
}

 The dataset includes 119382 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028183-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/rw8oy5
title: Ensaios Analíticos - 9º ano -2024

description: Ensaios Analíticos produzidos entre os meses de outubro e novembro de 2024.
DOI: 10.60893/figshare.jcp.28836803.v1
title: Supplementary Information

description: Vibrational frequencies, rate coefficients
DOI: 10.60893/figshare.jcp.28836803
title: Supplementary Information

description: Vibrational frequencies, rate coefficients
DOI: 10.15468/stysz8
title: Sea Watch Foundation Marine Megafauna Sightings:1930 to 1970

description: The Sea Watch Foundation has been collecting both effort-based and non-effort-based sightings data of marine mammals and other megafauna since the late 1960s. The main area of coverage is the waters around Britain and Ireland but with some surveys elsewhere. Data come from platforms ranging from small to large vessels either on dedicated survey or platforms of opportunity, and from coastal land sites. Data collected include environmental conditions, marine traffic, and seabird associations. Sighting records come from all types of marine user from marine mammal biologists to citizen scientists and members of the public. All sightings are checked, and species ID validated from still or video images and/or descriptions, except in those cases where persons are known, experienced, observers.
DOI: 10.15468/8tx3hn
title: 2022-2024 FISP: Ecosystem Benefits of UK Oyster Aquaculture Sites Avon Underwater Imagery Survey

description: As part of the Fisheries Industry Science Partnerships (FISP) project 'Ecosystem Benefits of UK Oyster Aquaculture Sites' project partners Tethys Oysters Ltd. / Atlantic Edge Oysters Ltd., Envision Marine Ltd. and the University of Essex have collaborated in a research project to determine ecosystem benefits provided by oyster aquaculture by measuring biodiversity and denitrification activity at a variety of sites in England and Wales. Surveys were undertaken by ENVISION in 2023 to measure the biodiversity associated with three oyster farms and one naturalised rock oyster reef in comparison to control sites with similar environmental conditions, as well as ecosystem function (nitrification/denitrification activity) at these sites. Recognising the importance of conservation and restoration of native oyster populations, surveys were also carried out in 2022 and 2023 to measure oyster abundance and associated biodiversity at an historic native oyster site, commercially restocked with native oysters in 2021. Survey works included recording of underwater imagery, sediment sampling, oyster dredging and ecosystem function sampling. Underwater camera systems were used to record the diversity of biota around the oysters during submersion. Sediment samples were taken for measurement of diversity of macrofauna, particle size distribution and total organic carbon, and the ecosystem function testing involved sampling of sediment and swabs of oysters/hard surfaces to determine the abundance and activity of denitrifying/nitrifying microorganisms on oyster site substrates, through genomic analysis. The results of the denitrification and biodiversity services provided by oyster aquaculture were communicated to consumers, industry and decision makers to increase understanding and promote awareness of the ecosystem benefits provided by aquaculture.
DOI: 10.15468/5zgbuh
title: 2022-2024 FISP: Ecosystem Benefits of UK Oyster Aquaculture Sites Avon Sediment Sampling Survey

description: As part of the Fisheries Industry Science Partnerships (FISP) project 'Ecosystem Benefits of UK Oyster Aquaculture Sites' project partners Tethys Oysters Ltd. / Atlantic Edge Oysters Ltd., Envision Marine Ltd. and the University of Essex have collaborated in a research project to determine ecosystem benefits provided by oyster aquaculture by measuring biodiversity and denitrification activity at a variety of sites in England and Wales. Surveys were undertaken by ENVISION in 2023 to measure the biodiversity associated with three oyster farms and one naturalised rock oyster reef in comparison to control sites with similar environmental conditions, as well as ecosystem function (nitrification/denitrification activity) at these sites. Recognising the importance of conservation and restoration of native oyster populations, surveys were also carried out in 2022 and 2023 to measure oyster abundance and associated biodiversity at an historic native oyster site, commercially restocked with native oysters in 2021. Survey works included recording of underwater imagery, sediment sampling, oyster dredging and ecosystem function sampling. Underwater camera systems were used to record the diversity of biota around the oysters during submersion. Sediment samples were taken for measurement of diversity of macrofauna, particle size distribution and total organic carbon, and the ecosystem function testing involved sampling of sediment and swabs of oysters/hard surfaces to determine the abundance and activity of denitrifying/nitrifying microorganisms on oyster site substrates, through genomic analysis. The results of the denitrification and biodiversity services provided by oyster aquaculture were communicated to consumers, industry and decision makers to increase understanding and promote awareness of the ecosystem benefits provided by aquaculture.
DOI: 10.15468/mmrf2v
title: 2022 Natural Resources Wales Skomer MCZ Zooplankton survey

description: Time series of consistent plankton samples taken using a Zooplankton net (200um mesh) from a single point on the North side of Skomer Marine Conservation Zone (MCZ). The net is hauled vertically from 40m and the methods used are designed to replicated the methods used by PML at the L4 plankton sampling station.
DOI: 10.15468/dl.hpsr2z
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "Country is Pakistan",
 "Geometry POLYGON((58.25816 48.58727,52.07464 26.31966,55.1664 27.4228,74.33531 24.36382,86.39316 33.54593,82.68305 42.07752,58.25816 48.58727))",
 "HasGeospatialIssue is false",
 "TaxonKey is Pinus wallichiana A.B.Jacks."
 ]
}

 The dataset includes 35 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028187-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25810/8pez-h060.64
title: Asian Newspaper Coverage of Climate Change or Global Warming, 2004-2025 - April 2025

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.15468/dl.kkmqp4
title: Occurrence Download

description: A dataset containing 1823095 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scleractinia"
 ]
}

 The dataset includes 1823095 records from 762 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028175-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29046863
title: nutrients and phytoplankton community

description: nutrients and phytoplankton community​
DOI: 10.15468/dl.zcfh9t
title: Occurrence Download

description: A dataset containing 384309 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phocoena phocoena (Linnaeus, 1758)"
 ]
}

 The dataset includes 384309 records from 424 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028184-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r3qtd3
title: Occurrence Download

description: A dataset containing 3877 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((28.17919 48.08878,56.37649 48.08878,56.37649 59.36287,28.17919 59.36287,28.17919 48.08878))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Viola odorata L."
 ]
}

 The dataset includes 3877 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028188-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3prxa
title: Occurrence Download

description: A dataset containing 6910940 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "Year 1970-2025"
 ]
}

 The dataset includes 6910940 records from 3860 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028181-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48580/dglq4-3bb
title: World List of Bryozoa
DOI: 10.48580/dglq4-3bg
title: World Nemertea Database
DOI: 10.48580/dfvll-3bl
title: Embioptera Species File