cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/lr9dao
title: V611000300_projection_datasheet.pdf
DOI: 10.57745/n0zcvf
title: K001872200_projection_datasheet.pdf
DOI: 10.57745/surerz
title: H632102001_projection_datasheet.pdf
DOI: 10.57745/yyqw0i
title: V611000401_projection_datasheet.pdf
DOI: 10.57745/0ktfoj
title: H640201001_projection_datasheet.pdf
DOI: 10.57745/4ibhez
title: K002000101_projection_datasheet.pdf
DOI: 10.57745/eeh63n
title: H640202001_projection_datasheet.pdf
DOI: 10.57745/hxsqav
title: V615541001_projection_datasheet.pdf
DOI: 10.57745/hblrlv
title: K010002201_projection_datasheet.pdf
DOI: 10.57745/hr4cdy
title: V615542001_projection_datasheet.pdf
DOI: 10.57745/nshbsh
title: H640203001_projection_datasheet.pdf
DOI: 10.57745/raawoa
title: K010002010_projection_datasheet.pdf
DOI: 10.57745/vbgzk8
title: V620020000_projection_datasheet.pdf
DOI: 10.57745/fvk1ci
title: H640204001_projection_datasheet.pdf
DOI: 10.57745/fy2bd7
title: V711501301_projection_datasheet.pdf
DOI: 10.57745/gje29l
title: K011401001_projection_datasheet.pdf
DOI: 10.57745/mxcf24
title: H641201001_projection_datasheet.pdf
DOI: 10.57745/tyz6w5
title: V710521401_projection_datasheet.pdf
DOI: 10.57745/6psqmj
title: K011403001_projection_datasheet.pdf
DOI: 10.57745/ipz6op
title: K012002010_projection_datasheet.pdf
DOI: 10.57745/oqvt2p
title: V712401001_projection_datasheet.pdf
DOI: 10.57745/wla5hu
title: H641202001_projection_datasheet.pdf
DOI: 10.57745/o90ckj
title: H642000000_projection_datasheet.pdf
DOI: 10.57745/objymo
title: H642301001_projection_datasheet.pdf
DOI: 10.15468/dl.pcg25h
title: Occurrence Download

description: A dataset containing 8608 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Andorra, Albania, Armenia, Austria, Azerbaijan, Bosnia and Herzegovina, Belgium, Bulgaria, Belarus, Switzerland, Cyprus, Czechia, Germany, Denmark, Algeria, Estonia, Egypt, Greece, Spain, Finland, Faroe Islands, France, Georgia, Guernsey, Gibraltar, Croatia, Hungary, Ireland, Israel, Isle of Man, Iceland, Italy, Jersey, Lebanon, Liechtenstein, Lithuania, Luxembourg, Latvia, Libya, Morocco, Monaco, Moldova, Republic of, Montenegro, North Macedonia, Malta, Netherlands, Norway, Poland, Palestine, State of, Portugal, Romania, Serbia, Russian Federation, Sweden, Slovenia, Svalbard and Jan Mayen, Slovakia, San Marino, Syrian Arab Republic, Tunisia, Türkiye, Ukraine, United Kingdom of Great Britain and Northern Ireland, French Guiana, Guadeloupe, Martinique, Mayotte, Réunion, Saint Martin (French part), Holy See)",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Machine Observation, Occurrence evidence, Observation)",
 "HasGeospatialIssue is false",
 "ScientificName is one of (Arion circumscriptus, Arion circumscriptus G.Johnston, 1828, Arion silvaticus, Arion silvaticus Lohmander, 1937, Crocus biflorus, Crocus biflorus Mill., Filipendula camschatica, Filipendula camschatica (Pall.) Maxim.)"
 ]
}

 The dataset includes 8608 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045614-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13168633
title: Binary black-hole simulation SXS:BBH:0587

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13168634
title: Binary black-hole simulation SXS:BBH:0587

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13168646
title: Binary black-hole simulation SXS:BBH:0563

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13168647
title: Binary black-hole simulation SXS:BBH:0563

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.2k9n4k
title: Occurrence Download

description: A dataset containing 8608 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Andorra, Albania, Armenia, Austria, Azerbaijan, Bosnia and Herzegovina, Belgium, Bulgaria, Belarus, Switzerland, Cyprus, Czechia, Germany, Denmark, Algeria, Estonia, Egypt, Greece, Spain, Finland, Faroe Islands, France, Georgia, Guernsey, Gibraltar, Croatia, Hungary, Ireland, Israel, Isle of Man, Iceland, Italy, Jersey, Lebanon, Liechtenstein, Lithuania, Luxembourg, Latvia, Libya, Morocco, Monaco, Moldova, Republic of, Montenegro, North Macedonia, Malta, Netherlands, Norway, Poland, Palestine, State of, Portugal, Romania, Serbia, Russian Federation, Sweden, Slovenia, Svalbard and Jan Mayen, Slovakia, San Marino, Syrian Arab Republic, Tunisia, Türkiye, Ukraine, United Kingdom of Great Britain and Northern Ireland, French Guiana, Guadeloupe, Martinique, Mayotte, Réunion, Saint Martin (French part), Holy See)",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Machine Observation, Occurrence evidence, Observation)",
 "HasGeospatialIssue is false",
 "ScientificName is one of (Arion circumscriptus, Arion circumscriptus G.Johnston, 1828, Arion silvaticus, Arion silvaticus Lohmander, 1937, Crocus biflorus, Crocus biflorus Mill., Filipendula camschatica, Filipendula camschatica (Pall.) Maxim.)"
 ]
}

 The dataset includes 8608 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045615-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5518/340
title: Analysis inputs for validation of six global flood models against observed flood events in Nigeria and Mozambique

description: his dataset contains the inputs used for validation of six global flood models (GFMs) against observed events in Nigeria and Mozambique. The dataset includes shapefiles that contain the analysis areas for the three study regions of Lokoja, Idah, and Chemba. For each study region, the observed flooding (obtained from the Dartmouth Flood Observatory) is included in GeoTIFF raster format at a resolution of 1/1200 decimal degrees (~90m). For each study region, the modelled flood extent from 6 GFMs is included in GeoTIFF raster format, resampled to a resolution of 1/1200 decimal degrees (~90m). Individual GFM output is provided in return periods of 25 and 100 years. The GFMs included are: CaMa-Flood, GLOFRIS, ECMWF, JRC, SSBN, and CIMA-UNEP. Finally, for each study region, the 25 year return period aggregated flood model (an output from the Global Flood Model Intercomparison Project) is included in GeoTIFF raster format at a resolution of 1/1200 decimal degrees (~90m). Each file is in the WGS84 projection.
DOI: 10.15468/dl.kdqkmh
title: Occurrence Download

description: A dataset containing 8608 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Andorra, Albania, Armenia, Austria, Azerbaijan, Bosnia and Herzegovina, Belgium, Bulgaria, Belarus, Switzerland, Cyprus, Czechia, Germany, Denmark, Algeria, Estonia, Egypt, Greece, Spain, Finland, Faroe Islands, France, Georgia, Guernsey, Gibraltar, Croatia, Hungary, Ireland, Israel, Isle of Man, Iceland, Italy, Jersey, Lebanon, Liechtenstein, Lithuania, Luxembourg, Latvia, Libya, Morocco, Monaco, Moldova, Republic of, Montenegro, North Macedonia, Malta, Netherlands, Norway, Poland, Palestine, State of, Portugal, Romania, Serbia, Russian Federation, Sweden, Slovenia, Svalbard and Jan Mayen, Slovakia, San Marino, Syrian Arab Republic, Tunisia, Türkiye, Ukraine, United Kingdom of Great Britain and Northern Ireland, French Guiana, Guadeloupe, Martinique, Mayotte, Réunion, Saint Martin (French part), Holy See)",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Machine Observation, Occurrence evidence, Observation)",
 "HasGeospatialIssue is false",
 "ScientificName is one of (Arion circumscriptus, Arion circumscriptus G.Johnston, 1828, Arion silvaticus, Arion silvaticus Lohmander, 1937, Crocus biflorus, Crocus biflorus Mill., Filipendula camschatica, Filipendula camschatica (Pall.) Maxim.)"
 ]
}

 The dataset includes 8608 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045616-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13168678
title: Binary black-hole simulation SXS:BBH:0521

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13168679
title: Binary black-hole simulation SXS:BBH:0521

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.hawtyw
title: Occurrence Download

description: A dataset containing 8608 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Andorra, Albania, Armenia, Austria, Azerbaijan, Bosnia and Herzegovina, Belgium, Bulgaria, Belarus, Switzerland, Cyprus, Czechia, Germany, Denmark, Algeria, Estonia, Egypt, Greece, Spain, Finland, Faroe Islands, France, Georgia, Guernsey, Gibraltar, Croatia, Hungary, Ireland, Israel, Isle of Man, Iceland, Italy, Jersey, Lebanon, Liechtenstein, Lithuania, Luxembourg, Latvia, Libya, Morocco, Monaco, Moldova, Republic of, Montenegro, North Macedonia, Malta, Netherlands, Norway, Poland, Palestine, State of, Portugal, Romania, Serbia, Russian Federation, Sweden, Slovenia, Svalbard and Jan Mayen, Slovakia, San Marino, Syrian Arab Republic, Tunisia, Türkiye, Ukraine, United Kingdom of Great Britain and Northern Ireland, French Guiana, Guadeloupe, Martinique, Mayotte, Réunion, Saint Martin (French part), Holy See)",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Machine Observation, Occurrence evidence, Observation)",
 "HasGeospatialIssue is false",
 "ScientificName is one of (Arion circumscriptus, Arion circumscriptus G.Johnston, 1828, Arion silvaticus, Arion silvaticus Lohmander, 1937, Crocus biflorus, Crocus biflorus Mill., Filipendula camschatica, Filipendula camschatica (Pall.) Maxim.)"
 ]
}

 The dataset includes 8608 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045617-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13168688
title: Binary black-hole simulation SXS:BBH:0461

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13168689
title: Binary black-hole simulation SXS:BBH:0461

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13168643
title: AIT Netflow Data Set

description: AIT Netflow Data Sets

This repository contains labeled synthetic netflows suitable for evaluation of intrusion detection systems, federated learning, and alert aggregation. The netflows are generated from the packet captures contained in the AIT-LDS-v2.0. A detailed description of that dataset is available in [1]. The packet captures were collected from eight testbeds that were built at the Austrian Institute of Technology (AIT) following the approach by [2]. Please cite these papers if the data is used for academic publications.

In brief, each of the datasets corresponds to a testbed representing a small enterprise network including mail server, file share, WordPress server, VPN, firewall, etc. Normal user behavior is simulated to generate background noise over a time span of 4-6 days. At some point, a sequence of attack steps is launched against the network. The following attacks are launched in the network:



Scans (nmap, WPScan, dirb)

Webshell upload (CVE-2020-24186)

Password cracking (John the Ripper)

Privilege escalation

Remote command execution

Data exfiltration (DNSteal)


This repository contains the following files:



<testbed>_netflows.zip: CSV files of labeled TCP and UDP netflows for each testbed.

label_info.txt: File describing which labels in TCP and UDP are benign and which ones are malicious.

README.md: Instructions on how to reproduce the generation and labeling of the netflows from the AIT-LDS-v2.0. Note that it is only necessary to run the python scripts if you want to extend or change the labeling procedure.

1_format_dataset_info.ipynb: Generates the tables necessary for labeling (see README.md).

2_label_logs.ipynb: Labels the netflows (see README.md).


Acknowledgements: Partially funded by the FFG projects INDICAETING (868306) and DECEPT (873980), and the EU projects GUARD (833456) and PANDORA (SI2.835928).

If you use the dataset, please cite the following publications:

[1] M. Landauer, F. Skopik, M. Frank, W. Hotwagner, M. Wurzenberger, and A. Rauber. "Maintainable Log Datasets for Evaluation of Intrusion Detection Systems". IEEE Transactions on Dependable and Secure Computing, vol. 20, no. 4, pp. 3466-3482. [PDF]

[2] M. Landauer, F. Skopik, M. Wurzenberger, W. Hotwagner and A. Rauber, "Have it Your Way: Generating Customized Log Datasets With a Model-Driven Simulation Testbed," in IEEE Transactions on Reliability, vol. 70, no. 1, pp. 402-415, March 2021, doi: 10.1109/TR.2020.3031317. [PDF]
description: M. Landauer, F. Skopik, M. Frank, W. Hotwagner, M. Wurzenberger, and A. Rauber. "Maintainable Log Datasets for Evaluation of Intrusion Detection Systems". IEEE Transactions on Dependable and Secure Computing, vol. 20, no. 4, pp. 3466-3482.
DOI: 10.5281/zenodo.6610488
title: AIT Netflow Data Set

description: AIT Netflow Data Sets

This repository contains labeled synthetic netflows suitable for evaluation of intrusion detection systems, federated learning, and alert aggregation. The netflows are generated from the packet captures contained in the AIT-LDS-v2.0. A detailed description of that dataset is available in [1]. The packet captures were collected from eight testbeds that were built at the Austrian Institute of Technology (AIT) following the approach by [2]. Please cite these papers if the data is used for academic publications.

In brief, each of the datasets corresponds to a testbed representing a small enterprise network including mail server, file share, WordPress server, VPN, firewall, etc. Normal user behavior is simulated to generate background noise over a time span of 4-6 days. At some point, a sequence of attack steps is launched against the network. The following attacks are launched in the network:



Scans (nmap, WPScan, dirb)

Webshell upload (CVE-2020-24186)

Password cracking (John the Ripper)

Privilege escalation

Remote command execution

Data exfiltration (DNSteal)


This repository contains the following files:



<testbed>_netflows.zip: CSV files of labeled TCP and UDP netflows for each testbed.

label_info.txt: File describing which labels in TCP and UDP are benign and which ones are malicious.

README.md: Instructions on how to reproduce the generation and labeling of the netflows from the AIT-LDS-v2.0. Note that it is only necessary to run the python scripts if you want to extend or change the labeling procedure.

1_format_dataset_info.ipynb: Generates the tables necessary for labeling (see README.md).

2_label_logs.ipynb: Labels the netflows (see README.md).


Acknowledgements: Partially funded by the FFG projects INDICAETING (868306) and DECEPT (873980), and the EU projects GUARD (833456) and PANDORA (SI2.835928).

If you use the dataset, please cite the following publications:

[1] M. Landauer, F. Skopik, M. Frank, W. Hotwagner, M. Wurzenberger, and A. Rauber. "Maintainable Log Datasets for Evaluation of Intrusion Detection Systems". IEEE Transactions on Dependable and Secure Computing, vol. 20, no. 4, pp. 3466-3482. [PDF]

[2] M. Landauer, F. Skopik, M. Wurzenberger, W. Hotwagner and A. Rauber, "Have it Your Way: Generating Customized Log Datasets With a Model-Driven Simulation Testbed," in IEEE Transactions on Reliability, vol. 70, no. 1, pp. 402-415, March 2021, doi: 10.1109/TR.2020.3031317. [PDF]
description: M. Landauer, F. Skopik, M. Frank, W. Hotwagner, M. Wurzenberger, and A. Rauber. "Maintainable Log Datasets for Evaluation of Intrusion Detection Systems". IEEE Transactions on Dependable and Secure Computing, vol. 20, no. 4, pp. 3466-3482.
DOI: 10.5281/zenodo.6610489
title: AIT Netflow Data Set

description: <strong>AIT Netflow Data Sets</strong> This repository contains labeled synthetic netflows suitable for evaluation of intrusion detection systems, federated learning, and alert aggregation. The netflows are generated from the packet captures contained in the AIT-LDS-v2.0. A detailed description of that dataset is available in [1]. The packet captures were collected from eight testbeds that were built at the Austrian Institute of Technology (AIT) following the approach by [2]. Please cite these papers if the data is used for academic publications. In brief, each of the datasets corresponds to a testbed representing a small enterprise network including mail server, file share, WordPress server, VPN, firewall, etc. Normal user behavior is simulated to generate background noise over a time span of 4-6 days. At some point, a sequence of attack steps is launched against the network. The following attacks are launched in the network: Scans (nmap, WPScan, dirb) Webshell upload (CVE-2020-24186) Password cracking (John the Ripper) Privilege escalation Remote command execution Data exfiltration (DNSteal) This repository contains the following files: <em>&lt;testbed&gt;_netflows.zip</em>: CSV files of labeled TCP and UDP netflows for each testbed. <em>README.md</em>: Instructions on how to reproduce the generation and labeling of the netflows from the AIT-LDS-v2.0. Note that it is only necessary to run the python scripts if you want to extend or change the labeling procedure. <em>1_format_dataset_info.ipynb</em>: Generates the tables necessary for labeling (see README.md). <em>2_label_logs.ipynb</em>: Labels the netflows (see README.md). Acknowledgements: Partially funded by the FFG projects INDICAETING (868306) and DECEPT (873980), and the EU projects GUARD (833456) and PANDORA (SI2.835928). <strong>If you use the dataset, please cite the following publications:</strong> [1] M. Landauer, F. Skopik, M. Frank, W. Hotwagner, M. Wurzenberger, and A. Rauber. "Maintainable Log Datasets for Evaluation of Intrusion Detection Systems". IEEE Transactions on Dependable and Secure Computing, vol. 20, no. 4, pp. 3466-3482. [PDF] [2] M. Landauer, F. Skopik, M. Wurzenberger, W. Hotwagner and A. Rauber, "Have it Your Way: Generating Customized Log Datasets With a Model-Driven Simulation Testbed," in IEEE Transactions on Reliability, vol. 70, no. 1, pp. 402-415, March 2021, doi: 10.1109/TR.2020.3031317. [PDF]
description: M. Landauer, F. Skopik, M. Frank, W. Hotwagner, M. Wurzenberger, and A. Rauber. "Maintainable Log Datasets for Evaluation of Intrusion Detection Systems". IEEE Transactions on Dependable and Secure Computing, vol. 20, no. 4, pp. 3466-3482.
DOI: 10.5281/zenodo.13168690
title: Binary black-hole simulation SXS:BBH:0443

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13168691
title: Binary black-hole simulation SXS:BBH:0443

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.6084/m9.figshare.26484532
title: Supplementary Material for: Treatment of a complex case of scleromyxedema using a novel IVIg preparation

description: Abstract
Introduction: We provide a case report on a patient with scleromyxedema treated with high-dose intravenous immunoglobulins (IVIg) who reported less fatigue and fewer headaches after transitioning to Yimmugo, a novel IVIg preparation. Scleromyxedema is a rare and chronic cutaneous mucinosis, frequently associated with monoclonal gammopathy and systemic complications, which may be life-threatening. The disease is characterized by papular eruptions and sclerosis of the skin. Treatment of skleromyxedema is challenging because of its unclear pathogenesis. High-dose intravenous immunoglobulins (IVIg) are a promising treatment option to improve cutaneous manifestations. 
Case presentation: We present the case of a 57-year-old patient with scleromyxedema and monoclonal gammopathy with end stage renal failure on haemodialysis (three times a week). Stabilization of skin symptoms was finally achieved by high-dose IVIg therapy administered at 2g per kg bodyweight distributed over two days every three weeks. However, disease stabilization came at the expense of flu-like side effects that significantly affected daily life. After transitioning to Yimmugo® the patient reported an improved quality of life. 
Conclusion: Further follow-up is essential to conclusively evaluate effectiveness and tolerability of this novel IVIg preparation.
DOI: 10.5281/zenodo.13168704
title: Binary black-hole simulation SXS:BBH:0344

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13168705
title: Binary black-hole simulation SXS:BBH:0344

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.s3v32w
title: Occurrence Download

description: A dataset containing 695492 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus suber L."
 ]
}

 The dataset includes 695492 records from 400 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045604-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6tx3xj
title: Occurrence Download

description: A dataset containing 50360 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Procambarus fallax f. virginalis Martin, Dorn, Kawai, van der Heiden & Scholtz, 2010, Orconectes virilis (Hagen, 1870), Ludwigia peploides (Kunth) P.H.Raven, Heracleum sosnowskyi Manden., Heracleum persicum Desf. ex Fisch., C.A.Mey. & Avé-Lall., Cabomba caroliniana A.Gray, Procambarus clarkii (Girard, 1852), Myriophyllum heterophyllum Michx., Lysichiton americanus Hultén & H.St.John, Lagarosiphon major (Ridl.) Moss, Pacifastacus leniusculus (Dana, 1852), Orconectes limosus (Rafinesque, 1817), Myriophyllum aquaticum (Vell.) Verdc., Impatiens glandulifera Royle, Ludwigia grandiflora (Michx.) Greuter & Burdet, Hydrocotyle ranunculoides L.fil., Heracleum mantegazzianum Sommier & Levier, Elodea nuttallii (Planch.) H.St.John)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 50360 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111096-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pbyd93
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Beilschmiedia velutina Kosterm."
 ]
}

 The dataset includes 146 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042362-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.58aftk
title: Occurrence Download

description: A dataset containing 264 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Loricariichthys platymetopon Isbrücker & Nijssen, 1979"
 ]
}

 The dataset includes 264 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074553-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.