cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2eyfsk
title: Occurrence Download

description: A dataset containing 4539 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vallisneria natans (Lour.) H.Hara, Salvinia natans (L.) All.)",
 "HasCoordinate is true",
 "Year is greater than 1900"
 ]
}

 The dataset includes 4539 records from 168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042286-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h5ontq
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cypripedium irapeanum Lex.",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-127.92 2.78,-127.92 35.36,-72.82 35.36,-72.82 2.78,-127.92 2.78))"
 ]
}

 The dataset includes 66 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009609-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8f97k8
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Betula delavayi var. microstachya P.C.Li"
 ]
}

 The dataset includes 21 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010712-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.acnqys
title: Occurrence Download

description: A dataset containing 469 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eumachia macrocarpa (Verdc.) Razafim. & C.M.Taylor"
 ]
}

 The dataset includes 469 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042303-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4zoclb
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fowleria Jordan & Evermann, 1903",
 "Country is India"
 ]
}

 The dataset includes 22 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009609-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.45eehn
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Salix annulifera var. macriula C.Marquand & Airy Shaw"
 ]
}

 The dataset includes 39 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010723-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3fpekw
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Spain",
 "Country is France"
 ]
 },
 "TaxonKey is Centrophorus granulosus (Bloch & Schneider, 1801)"
 ]
}

 The dataset includes 82 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009609-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.at64pz
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Antrophyum simulans Alderw."
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010735-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywdh8h
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elatostema paramelanum H.J.P.Winkl."
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042265-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gws242
title: Occurrence Download

description: A dataset containing 52637 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chromolaena odorata (L.) R.M.King & H.Rob."
 ]
}

 The dataset includes 52637 records from 516 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049398-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8qsclu
title: Occurrence Download

description: A dataset containing 584 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "TaxonKey is Melaleuca dealbata S.T.Blake"
 ]
}

 The dataset includes 584 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009609-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wsr73f
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eumachia lepiniana (Baill. ex Drake) Barrabé, C.M.Taylor & Razafim."
 ]
}

 The dataset includes 17 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042266-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahfpu2
title: Occurrence Download

description: A dataset containing 7177 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Vireolanius melitophrys Bonaparte, 1850"
 ]
}

 The dataset includes 7177 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000668-240321170329656/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.28398227
title: Data on Fig 2 and Table 3.

description: Individual OD measurements from triplicate experiments for each strain and time point used in the construction of Figure 2 and Table 3.
DOI: 10.6084/m9.figshare.28398227.v2
title: Data on Fig 2 and Table 3.

description: Individual OD measurements from triplicate experiments for each strain and time point used in the construction of Figure 2 and Table 3.
DOI: 10.6084/m9.figshare.28398227.v1
title: Data on Fig 2

description: Individual OD measurements from triplicate experiments for each strain and time point used in the construction of Figure 2.
DOI: 10.15468/dl.ry5y62
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coryphaenoides altipennis Günther, 1877",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025137-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8y7baw
title: Occurrence Download

description: A dataset containing 7809 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ehrharta calycina Sm., Ehrharta melicoides Willd., Ehrharta pilosa Willd., Ehrharta pilosa Willd. ex Steud., Melica geniculata Thunb., Ehrharta nutans Willd., Ehrharta ramosa Willd., Ehrharta calycina var. adscendens (Schrad.) Nees, Ehrharta auriculata Steud., Ehrharta ovata Nees, Ehrharta laxifolia Schrad., Ehrharta undulata Nees ex Trin., Ehrharta ramosa Willd. ex Nees, Ehrharta versicolor Schrad., Ehrharta nutans Willd. ex Nees, Ehrharta undulata Nees, Ehrharta stricta Nees, Ehrharta melicoides Willd. ex Nees, Trochera melicodes Kuntze, Ehrharta calycina var. angustifolia Kunth, Aira capensis L.f., Ehrharta paniculata Poir., Ehrharta undulata var. laxiflora (Schrad.) Nees, Ehrharta adscendens Schrad., Ehrharta undulata var. adscendens (Schrad.) Nees, Ehrharta calycina var. calycina, Ehrharta laxiflora Schrad., Ehrharta undulata var. calycina (Sm.) Nees, Trochera calycina (Sm.) P.Beauv., Trochera geniculata (Thunb.) Kuntze, Ehrharta geniculata (Thunb.) Thunb., Trochera auriculata (Steud.) Kuntze, Trochera ovata (Nees) Kuntze, Trochera versicolor (Schrad.) Kuntze, Ehrharta calycina var. versicolor (Schrad.) Stapf, Trochera stricta (Nees) Kuntze, Trochera laxiflora (Schrad.) Kuntze)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 7809 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025138-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14857771
title: INVENTORY CLASSIFICATION WITH AI: EVALUATING HOW LARGE LANGUAGE MODELS ENHANCE CATEGORIZATION USING UNPSC CODES

description: INVENTORY CLASSIFICATION WITH AI:EVALUATING HOW LARGE LANGUAGE MODELSENHANCE CATEGORIZATIONUSING UNPSC CODESAnmolika Singh and Yuhang DiaoData Scientist, USAABSTRACTEffective item categorization plays a crucial role in transforming unstructured datasets into organized categories, simplifying inventory management for businesses. However, this process is often subjective and lacks consistency across industries and typically requires extensive manual effort for implementation. The United Nations Standard Products and Services Code (UNSPSC) offers a standardized framework for inventory cataloguing. This study examines the use of Large Language Models (LLMs) to automate the classification of inventory data into UNSPSC codes as the chosen taxonomy based on item descriptions. It evaluates the accuracy and efficiency of LLMs when processing datasets that are large and diverse; and when focusing on a specific segment judging the effect of providing context to the LLM. The results demonstrate that LLMs can significantly reduce the manual workload while maintaining high accuracy of upto 90% at UNSPSC segment level when LLM is provided with context. These findings present LLMs as a scalable and efficient solution for businesses seeking to automate inventory management, with the potential for further improvement through advanced model architectures and refined prompt engineering.KEYWORDSItem categorization, Inventory management, UNSPSC codes, Natural Language Processing (NLP), Large Language Models (LLMs), Automation, Data classification, Inventory standardization, UNSPSC Codes, Prompt Engineering, Artificial Intelligence (AI)
DOI: 10.5281/zenodo.14857772
title: INVENTORY CLASSIFICATION WITH AI: EVALUATING HOW LARGE LANGUAGE MODELS ENHANCE CATEGORIZATION USING UNPSC CODES

description: INVENTORY CLASSIFICATION WITH AI:EVALUATING HOW LARGE LANGUAGE MODELSENHANCE CATEGORIZATIONUSING UNPSC CODESAnmolika Singh and Yuhang DiaoData Scientist, USAABSTRACTEffective item categorization plays a crucial role in transforming unstructured datasets into organized categories, simplifying inventory management for businesses. However, this process is often subjective and lacks consistency across industries and typically requires extensive manual effort for implementation. The United Nations Standard Products and Services Code (UNSPSC) offers a standardized framework for inventory cataloguing. This study examines the use of Large Language Models (LLMs) to automate the classification of inventory data into UNSPSC codes as the chosen taxonomy based on item descriptions. It evaluates the accuracy and efficiency of LLMs when processing datasets that are large and diverse; and when focusing on a specific segment judging the effect of providing context to the LLM. The results demonstrate that LLMs can significantly reduce the manual workload while maintaining high accuracy of upto 90% at UNSPSC segment level when LLM is provided with context. These findings present LLMs as a scalable and efficient solution for businesses seeking to automate inventory management, with the potential for further improvement through advanced model architectures and refined prompt engineering.KEYWORDSItem categorization, Inventory management, UNSPSC codes, Natural Language Processing (NLP), Large Language Models (LLMs), Automation, Data classification, Inventory standardization, UNSPSC Codes, Prompt Engineering, Artificial Intelligence (AI)
DOI: 10.15468/dl.pt53fx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coryphaenoides altipinnis Günther, 1877",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025139-250127130748423/datasets/export for details.
DOI: 10.5281/zenodo.14857618
title: Systematic review data on the role of urban planning in the context of sustainability transformations and human-nature connections

description: This data publication belongs to the following research paper:Harms, P., Hofer, M. & Artmann, M. Planning cities with nature for sustainability transformations — a systematic review. Urban Transform 6, 9 (2024). https://doi.org/10.1186/s42854-024-00066-2 

We conducted a systematic literature review according to the PRISMA Statement 2020 (Page et al. 2021). The list shows the steps performed and the names of the corresponding datasets available here:

Step A - Identification of RecordsA_01_PRISMA-protocoll.pdfA_02_searchstring.txtA_03_recordsidentified.ris

Step B - Screening of RecordsB_01_recordsscreened-title-keywords.risB_02_recordsscreened-abstract.risB_03_recordsscreened-fulltext.risB_04_studiesincluded.risB_05_screeningdecisions-overview.xlsx

Step C - Qualitative AnalysisC_01_codingscheme.xlsx
DOI: 10.5281/zenodo.8359023
title: The role of planning in reconnecting cities with nature for sustainability - a systematic review

description: This data publication belongs to the study ##insert#DOI We conducted a systematic literature review according to the PRISMA Statement 2020 (Page et al. 2021). The list shows the steps performed and the names of the corresponding datasets available here: Step A - Identification of Records<br> A_01_PRISMA-protocoll.pdf<br> A_02_searchstring.txt<br> A_02_recordsidentified.ris Step B - Screening of Records<br> B_01_recordsscreened-title-keywords.ris<br> B_02_recordsscreened-abstract.ris<br> B_03_recordsscreened-fulltext.ris<br> B_04_studiesincluded.ris<br> B_05_screeningdecisions-overview.xlsx Step C - Qualitative Analysis<br> C_01_codingscheme.xlsx
DOI: 10.5281/zenodo.14857767
title: Multi-CAST Bora

description: Cite the source of the dataset as:




Seifart, Frank & Hong, Tai. 2023. Multi-CAST Bora. In Haig, Geoffrey & Schnell, Stefan (eds.), Multi-CAST: Multilingual corpus of annotated spoken texts. Version 2311. Bamberg: University of Bamberg. (multicast.aspra.uni-bamberg.de/#bora) (date accessed)
DOI: 10.5281/zenodo.14857768
title: Multi-CAST Bora

description: Cite the source of the dataset as:




Seifart, Frank & Hong, Tai. 2022. Multi-CAST Bora. In Haig, Geoffrey & Schnell, Stefan (eds.), Multi-CAST: Multilingual corpus of annotated spoken texts. Version 2207. Bamberg: University of Bamberg. (multicast.aspra.uni-bamberg.de/#bora) (date accessed)
DOI: 10.5281/zenodo.14857797
title: Multi-CAST Bora

description: Cite the source of the dataset as:




Seifart, Frank & Hong, Tai. 2022. Multi-CAST Bora. In Haig, Geoffrey & Schnell, Stefan (eds.), Multi-CAST: Multilingual corpus of annotated spoken texts. Version 2211. Bamberg: University of Bamberg. (multicast.aspra.uni-bamberg.de/#bora) (date accessed)
DOI: 10.5281/zenodo.14857830
title: Multi-CAST Bora

description: Cite the source of the dataset as:




Seifart, Frank & Hong, Tai. 2023. Multi-CAST Bora. In Haig, Geoffrey & Schnell, Stefan (eds.), Multi-CAST: Multilingual corpus of annotated spoken texts. Version 2311. Bamberg: University of Bamberg. (multicast.aspra.uni-bamberg.de/#bora) (date accessed)
DOI: 10.15468/dl.re5494
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macrurus acrolepis Bean, 1884",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025140-250127130748423/datasets/export for details.
DOI: 10.15468/dl.48eqjx
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Adansonia grandidieri Baill."
 ]
}

 The dataset includes 155 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025141-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14851897
title: Dataset for "Genuine multipartite entanglement in quantum optimization"

description: This jupyter notebook contains all the data for each figure of the paper and its corresponding code to generate the plots in order, denoted by Fig.2-14.
DOI: 10.5281/zenodo.14851898
title: Dataset for "Genuine multipartite entanglement in quantum optimization"

description: This jupyter notebook contains all the data for each figure of the paper and its corresponding code to generate the plots in order, denoted by Fig.2-14.
DOI: 10.15468/dl.qqjzpn
title: Occurrence Download

description: A dataset containing 4360 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Elaeagnus pungens Thunb., Elaeagnus variegata J.R.Duncan & V.C.Davies, Elaeagnus pungens var. aureovariegata Bean, Elaeagnus pungens var. rotundifolia Servett., Elaeagnus sinensis Koehne, Elaeagnus pungens var. aurea Servett., Elaeagnus pungens var. variegata Bean, Elaeagnus pungens var. maculata H.J.Veitch, Elaeagnus pugens Thunb., Elaeagnus pungens var. variegata Rehder, Elaeagnus pungens var. latifolia Honda, Elaeagnus obtusa C.Y.Chang, Elaeagnus pungens var. megaphylla Araki, Elaeagnus pungens var. angustifolia Araki, Elaeagnus frederici-variegata Ilsemann, Elaeagnus simonii Carrière, Elaeagnus pungens var. frederici Bean, Elaeagnus pungens f. rotundifolia (Servett.) H.Hara, Elaeagnus pungens f. aurea (Servett.) Rehder, Elaeagnus pungens f. variegata (Bean) P.D.Sell, Elaeagnus pungens f. maculata (H.J.Veitch) Rehder, Elaeagnus pungens f. variegata (Bean) Rehder, Elaeagnus pungens f. megaphylla (Araki) Sugim., Elaeagnus pungens f. angustifolia (Araki) Sugim., Elaeagnus pungens var. frederici-variegata (Ilsemann) Rehder, Elaeagnus pungens var. simonii (Carrière) G.Nicholson, Elaeagnus pungens subsp. simonii (Carrière) Servett., Elaeagnus pungens var. simonii (Carriere) Rehder, Elaeagnus pungens f. frederici (Bean) Rehder)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 4360 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025142-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dt3u3w
title: Occurrence Download

description: A dataset containing 2630 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lontra longicaudis (Olfers, 1818)"
 ]
}

 The dataset includes 2630 records from 178 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025143-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u224x2
title: Occurrence Download

description: A dataset containing 355 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Psenopsis anomala (Temminck & Schlegel, 1844)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 355 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025144-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m2y8tu
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ariomma indicum (Day, 1871)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025145-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14591118
title: Platyereis EM big image data as TIFF and XML/HDF5

description: Relatively big example bioimage data to be used in this training module: https://neubias.github.io/training-resources/big_image_file_formats/index.html
DOI: 10.5281/zenodo.14591117
title: Platyereis EM big image data as TIFF and XML/HDF5

description: Relatively big example bioimage data to be used in this training module: https://neubias.github.io/training-resources/big_image_file_formats/index.html
DOI: 10.5281/zenodo.14857764
title: Platyereis EM big image data as TIFF and XML/HDF5

description: Relatively big example bioimage data to be used in this training module: https://neubias.github.io/training-resources/big_image_file_formats/index.html
DOI: 10.5281/zenodo.14848789
title: ERDA-TOF measurements on SiO2.
DOI: 10.5281/zenodo.14848790
title: ERDA-TOF measurements on SiO2.
DOI: 10.5281/zenodo.6676668
title: AESI Background Rates Literature Review & Visualization for Guillain-Barré Syndrome (GBS)

description: AESI Background Rates Literature Review & Visualization for GBS
description: The SPEAC Project is funded in whole by CEPI.
DOI: 10.5281/zenodo.6676669
title: AESI Background Rates Literature Review & Visualization for Guillain-Barré Syndrome (GBS)

description: AESI Background Rates Literature Review & Visualization for GBS
description: The SPEAC Project is funded in whole by CEPI.
DOI: 10.15468/dl.u57qqx
title: Occurrence Download

description: A dataset containing 2844 records in GBIF matching the query:

SELECT
 basisOfRecord,
 "year",
 COUNT(DISTINCT speciesKey) AS unique_species_count
FROM
 occurrence
GROUP BY
 basisOfRecord,
 "year";
 

 The dataset's 2844 records were derived from 70800 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025132-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.