cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18291866
title: Oxalis hispidula Zucc. 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.ggcue4
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Larinus planus",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 38 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018275-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18291863
title: 6-the-mysterious-lantern-keeper: interior: abkhaz
DOI: 10.5281/zenodo.18291864
title: 6-the-mysterious-lantern-keeper: interior: abkhaz
DOI: 10.5281/zenodo.18291867
title: Oxalis kurtziana 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.18291868
title: Oxalis kurtziana 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.18291872
title: Oxalis lasiopetala Zucc. 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.3tej87
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nemoura jejudoensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018277-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18291871
title: Oxalis lasiopetala Zucc. 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.18291710
title: lab 5 phần 2

description: Vai trò của tài nguyên giáo dục mở trong học tập hiện đại
DOI: 10.5281/zenodo.18291711
title: lab 5 phần 2

description: Vai trò của tài nguyên giáo dục mở trong học tập hiện đại
DOI: 10.15468/dl.m72cnh
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nemoura rugosa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018279-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18291889
title: Oxalis lasiophylla 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.18291890
title: Oxalis lasiophylla 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.18291893
title: Oxalis linarantha Lourteig. 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.18291894
title: Oxalis linarantha Lourteig. 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.18291898
title: Oxalis lobata Sims. 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.18291897
title: Oxalis lobata Sims. 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.fj3cc2
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nemoura tripotini",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018280-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18291903
title: Oxalis macachin 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.18291904
title: Oxalis macachin 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.18291912
title: Oxalis maldonadoensis 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.18291911
title: Oxalis maldonadoensis 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.2493gk
title: Occurrence Download

description: A dataset containing 7002 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "TaxonKey is one of (Tremarctos ornatus [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 7002 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018281-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y8w7p6
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nemoura jilinensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018283-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.upbc4f
title: Occurrence Download

description: A dataset containing 119598 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-6.44712 36.86936,-6.59349 36.2998,-5.55766 35.89952,-4.30792 36.69803,-5.1073 37.93367,-5.77158 37.78255,-6.44712 36.86936))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 119598 records from 434 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018276-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2yk3hx
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nemoura ussuriensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018285-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18291928
title: Oxalis mallobolba Cav. 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.18291929
title: Oxalis mallobolba Cav. 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.63gfda
title: Occurrence Download

description: A dataset containing 5513829 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pinus albicaulis, Pinus amamiana, Pinus aristata, Pinus arizonica, Pinus armandii, Pinus arunachalensis, Pinus attenuata, Pinus ayacahuite, Pinus balfouriana, Pinus banksiana, Pinus bhutanica, Pinus brutia, Pinus bungeana, Pinus californiarum, Pinus canariensis, Pinus caribaea, Pinus cembra, Pinus cembroides, Pinus cernua, Pinus chiapensis, Pinus clausa, Pinus contorta, Pinus coulteri, Pinus cubensis, Pinus culminicola, Pinus dalatensis, Pinus densata, Pinus densiflora, Pinus devoniana, Pinus discolor, Pinus douglasiana, Pinus durangensis, Pinus echinata, Pinus edulis, Pinus elliottii, Pinus engelmannii, Pinus fenzeliana, Pinus flexilis, Pinus georginae, Pinus gerardiana, Pinus glabra, Pinus greggii, Pinus halepensis, Pinus hartwegii, Pinus heldreichii, Pinus henryi, Pinus herrerae, Pinus hwangshanensis, Pinus jaliscana, Pinus jeffreyi, Pinus johannis, Pinus kesiya, Pinus koraiensis, Pinus krempfii, Pinus lagunae, Pinus lambertiana, Pinus latteri, Pinus lawsonii, Pinus leiophylla, Pinus longaeva, Pinus luchuensis, Pinus lumholtzii, Pinus luzmariae, Pinus massoniana, Pinus maximartinezii, Pinus maximinoi, Pinus merkusii, Pinus monophylla, Pinus montezumae, Pinus monticola, Pinus morrisonicola, Pinus mugo, Pinus muricata, Pinus nelsonii, Pinus nigra, Pinus occidentalis, Pinus oocarpa, Pinus palustris, Pinus parviflora, Pinus patula, Pinus peuce, Pinus pinaster, Pinus pinceana, Pinus pinea, Pinus ponderosa, Pinus praetermissa, Pinus pringlei, Pinus pseudostrobus, Pinus pumila, Pinus pungens, Pinus quadrifolia, Pinus radiata, Pinus ravii, Pinus reflexa, Pinus remota, Pinus resinosa, Pinus rigida, Pinus romaniae, Pinus roxburghii, Pinus rzedowskii, Pinus sabiniana, Pinus serotina, Pinus sibirica, Pinus squamata, Pinus strobiformis, Pinus strobus, Pinus stylesii, Pinus sylvestris, Pinus tabuliformis, Pinus taeda, Pinus taiwanensis, Pinus tecunumanii, Pinus teocote, Pinus thunbergii, Pinus torreyana, Pinus tropicalis, Pinus uncinata, Pinus vallartensis, Pinaceae, Pinus virginiana, Pinus wallichiana, Pinus wangii, Pinus yunnanensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5513829 records from 4189 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018272-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25921/5bby-mz53
title: NCCOS Assessment: Developing and Implementing Protocols for the use of Passive Samplers in Environmental Monitoring: Validating In Situ Use and Expanding the Application of Passive Samplers such as Silicone Bands for chemical contaminants in the Charleston Harbor, Charleston, SC, 2021-2024 (NCEI Accession 0308299)

description: Contained in this dataset are time weighted average water concentrations in ng/L for polycyclic aromatic hydrocarbons, fipronils and pyrethroids. Data was collected seasonally from 2021 to 2024 at twenty locations in Charleston Harbor, Charleston, SC, USA. The data is in the new data standard template for chemical data in .CSV format.
DOI: 10.5518/190
title: Ontologies for describing Properties and Processes of City Infrastructure Assets: the Ground, Roads and Pipes

description: This dataset consists of three city infrastructure asset ontologies, describing the ground, roads and buried pipes respectively. In each of these ontologies, it defines properties and processes of the corresponding asset, as well as how properties and processes affect each other. For example, the stiffness of the ground is influenced by the water content of it. Domain experts in civil engineering, geotechnical engineering, environmental engineering and water engineering are involved in the ontology development. The ontologies are written in OWL 2 Web Ontology Language Manchester Syntax. The ontologies can be used in a broad range of scenarios to support management and maintenance of city infrastructures, and are currently being utilised in the development of a decision support system for integrated urban inter-asset management.
DOI: 10.6084/m9.figshare.30656416
title: Full analysis for manuscript from A machine learning approach to facilitate parasitic egg identification in a conspecific brood parasite

description: The zip file contains all data and analysis scripts for the manuscript, including a full worked example.
DOI: 10.6084/m9.figshare.30656416.v1
title: Full analysis for manuscript from A machine learning approach to facilitate parasitic egg identification in a conspecific brood parasite

description: The zip file contains all data and analysis scripts for the manuscript, including a full worked example.
DOI: 10.6084/m9.figshare.30656422.v1
title: Same-different counts and model accuracies from A machine learning approach to facilitate parasitic egg identification in a conspecific brood parasite

description: This zip file contains code used to calculate model accuracies for the manuscript.
DOI: 10.6084/m9.figshare.30656422
title: Same-different counts and model accuracies from A machine learning approach to facilitate parasitic egg identification in a conspecific brood parasite

description: This zip file contains code used to calculate model accuracies for the manuscript.
DOI: 10.15468/dl.tuyrvq
title: Occurrence Download

description: A dataset containing 1094 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phengaris arion",
 "HasCoordinate is true",
 "Geometry POLYGON ((6.224439 46.56151, 6.224439 48.43216, 8.984551 48.43216, 8.984551 46.56151, 6.224439 46.56151))",
 "Year is greater than or equal to 2020",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1094 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045059-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gm6msu
title: Occurrence Download

description: A dataset containing 2825 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 6.65569472157386",
 "DecimalLongitude is less than 6.65875427475825",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 2825 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045060-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vcgj6k
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Discocainia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 52 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045061-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17649615
title: Daten der Notaufnahmesurveillance

description: Der Datensatz "Daten der Notaufnahmesurveillance" wird durch das Robert Koch-Institut und das AKTIN-Notaufnahmeregister bei Krankenhausaufnahmen bereitgestellt. Der Datensatz beinhaltet aggregierte Routinedaten aus deutschen Notaufnahmen zur syndromischen Überwachung von akuten Erkrankungen. Dazu zählen grippeähnliche Erkrankungen (ILI), Coronavirus-Erkrankungen (COVID-19), akute respiratorische Erkrankungen (ARE), gastrointestinale Infektionen (GI) und schwere akute respiratorische Infektionen (SARI). Dabei wird der relative Anteil dieser Erkrankungen an der Gesamtzahl der Notaufnahmevorstellungen sowie die berechneten Erwartungswerte und Prädiktionsintervalle ausgewiesen. Die Daten sind nach Notaufnahmetypen und Altersgruppen aggregiert. Damit bietet der Datensatz eine wertvolle Ressource für die Forschung im Bereich der Notfallmedizin und der Überwachung akuter Gesundheitsereignisse in Deutschland.
DOI: 10.15468/dl.7rmp8t
title: Occurrence Download

description: A dataset containing 9877 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ara ararauna"
 ]
}

 The dataset includes 9877 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045064-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17179/excli2025-8695_supplementary_information
title: BTK inhibitor ibrutinib reduces LPS-induced inflammation in C8-B4 microglia

description: In this study, we examined the potential of Bruton tyrosine kinase (BTK) inhibitor ibrutinib to mitigate neuroinflammation in C8-B4 microglial cells activated by the bacterial endotoxin lipopolysaccharide (LPS). Our objective was to enhance understanding of its mechanism of action, particularly in relation to its anti-inflammatory, and antioxidant potential of ibrutinib. Here, mouse microglial C8-B4 cells were treated with ibrutinib (1 and 10 μM) or vehicle (1 % DMSO) for 1 h, followed by lipopolysaccharide (LPS 1 μg/mL) for 23 h. We observed that ibrutinib significantly decreased LPS-induced nitric oxide levels and nitric oxide synthase 3 (NOS3) expression. In parallel, ibrutinib decreased cell senescence induced by LPS in microglia. Ibrutinib notably diminished the elevation of tumor necrosis factor-α (TNF-α), triggered by LPS in C8-B4 microglia. It also modulated Toll-like receptor 4 (TLR4) expression induced by LPS. Moreover, ibrutinib markedly lowered the augmented levels of nuclear factor kappa beta (NF-β) and phosphorylated NF-kβ (pNF-β) induced by LPS, indicating its capacity to mitigate LPS-induced neuroinflammatory reactions by hindering TLR4/NF-β pathway. Additionally, these beneficial effects are associated with regulation of the Nrf2/HO-1 pathway. The present results suggest that treatment with ibrutinib may contribute to the preservation of mitochondrial function, as evidenced by its ability to reduce reactive oxygen species (ROS) production. While these findings provide important insights into the potential neuroprotective mechanisms of ibrutinib, the precise molecular pathways involved in mitochondrial preservation require further investigation. Collectively, these data support the therapeutic potential of ibrutinib in mitigating neuroinflammation-related mitochondrial dysfunction and highlight its promise as a candidate for treating neurodegenerative disorders characterized by oxidative stress and impaired mitochondrial integrity.
description: EXCLI Journal; 24:Doc1482; ISSN 1611-2156
DOI: 10.15468/dl.f9ss9u
title: Occurrence Download

description: A dataset containing 3715 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 6.65875427475825",
 "DecimalLongitude is less than 6.66181382794265",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 3715 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045065-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17641011
title: DrugMOF: Disordered Metal-Organic Frameworks for Drug Delivery
DOI: 10.5281/zenodo.17641012
title: DrugMOF: Disordered Metal-Organic Frameworks for Drug Delivery
DOI: 10.15468/dl.86n7pt
title: Occurrence Download

description: A dataset containing 59395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Chloraea disoides, Alstroemeria achirae, Adesmia bijuga, Squatina armata, Rhinoderma rufum, Phoebastria irrorata, Numenius borealis, Nigroperla costalis, Mustelus mento, Liolaemus curis, Galeorhinus galeus, Dermochelys coriacea, Balaenoptera physalus, Balaenoptera borealis, Alsodes pehuenche, Aegla affinis, Vestia foetida, Ulantha apinnula, Senecio pycnanthus, Senecio linaresensis, Scutellaria valdiviana, Pitavia punctata, Nothofagus alessandrii, Myrceugenia colchaguensis, Legrandia concinna, Jubaea chilensis, Gomortega keule, Gethyum atropurpureum, Famatina maulensis, Calceolaria williamsii, Calceolaria pallida, Berberidopsis corallina, Beilschmiedia berteroana, Austrocactus philippii, Archidasyphyllum excelsum, Anemone moorei, Alstroemeria diluta, Telmatobufo venustus, Telmatobufo ignotus, Pycnosiphorus lessonii, Procellaria westlandica, Plectostylus araucanus, Phymaturus maulense, Percilia gillissi, Pelecanoides garnotii, Nycticryphes semicollaris, Neuquenaphis staryi, Nematogenys inermis, Mordacia lapicida, Lontra felina, Liolaemus thermarum, Liolaemus septentrionalis, Liolaemus carlosgarini, Liolaemus buergeri, Homoeomma orellanai, Eupsophus septentrionalis, Eubalaena australis, Diomedea sanfordi, Diomedea antipodensis, Chloephaga melanoptera, Chelonia mydas, Callyntra, Calidris canutus, Bombus dahlbomii, Bolborhinum trilobulicorne, Balaenoptera musculus, Ardenna creatopus, Alsodes vanzolinii, Aegla laevis)"
 ]
}

 The dataset includes 59395 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045035-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.