cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15199921
title: TABLE 4 in Phylogeny of the Megascolecidae and Crassiclitellata (Annelida, Oligochaeta): combined versus partitioned analysis using nuclear (28 S) and mitochondrial (12 S, 16 S) rDNA

description: TABLE 4. — Separate and combined partition support for nodes in the SUM model tree. All values refer to the support by each dataset for clades defined in Fig. 4. Partition support refers to best reverse constraint tree for that method relative to SUM model best tree COMBO model lnL split into 28S sites and mtDNA sites. Shading indicates conflict. c, expected likelihood weight confidence set from COMBO model reverse constraint trees and maximum likelihood best tree. Arranged in order of c, bold values indicate 95% confidence set.
c Bootstrap COMBO COMBO MPallBremer mt28SPartition ∆lnL separate models SUM mt 28Scombined data analysis all mt 28Sclade0.0010098146835.1528.326.8334.6728.176.50A0.009797154.510.515.956.859.1013.736.986.76C0.00896275213.9018.48–4.5916.6210.596.03F0.009884103.76.320.8212.128.7022.5413.379.16V0.008869108.51.53.093.090.003.785.31–1.53H0.0095961210212.107.264.8313.656.217.44T0.0195590–4411.09–0.7511.8312.80–1.2714.07D0.0246554310.99–0.471.454.811.882.93Q0.0280844310.990.950.052.563.02–0.45S0.0275774–155.883.262.614.092.421.67J0.0390694317.130.676.4611.081.569.52B0.03594340.43.62.753.00–0.264.754.360.38K0.0471642–244.092.022.073.100.192.91U0.0427533120.620.620.00–0.280.85–1.13M0.042989106.73.32.752.750.00–0.280.85–1.13R0.0659552–572.540.791.750.771.33–0.56G0.0623142022.233.14–0.911.503.38–1.87L0.07796557–20.888.85–7.974.5610.83–6.27E0.1077797437.534.682.856.633.792.84P0.1047313–145.235.230.005.585.400.18I0.1041363033.592.750.845.585.400.18O0.1739383–1.54.53.19–3.406.601.53–4.415.94N68.4 64.45.82.33.57.45.02.47.95.0average 2.9 per node
description: Published as part of Jamieson, Barrie G. M., Tillier, Simon, Tillier, Annie, Justine, Jean-Lou, Ling, Edmund, James, Sam, Mcdonald, Keith & Hugall, Andrew F., 2002, Phylogeny of the Megascolecidae and Crassiclitellata (Annelida, Oligochaeta): combined versus partitioned analysis using nuclear (28 S) and mitochondrial (12 S, 16 S) rDNA, pp. 723 in Zoosystema 24 (4) on page 723, DOI: 10.5281/zenodo.4524860
DOI: 10.5281/zenodo.15199922
title: TABLE 5 in Phylogeny of the Megascolecidae and Crassiclitellata (Annelida, Oligochaeta): combined versus partitioned analysis using nuclear (28 S) and mitochondrial (12 S, 16 S) rDNA

description: TABLE 5. — Comparison of likelihood ratio tests. †, best trees, fixed parameters; *, SOWH test, 100 replicates, fixed parameters; c ¶, expected likelihood weight Strimmer & Rambaut (2002). Shading indicates rejected at α <0.05; dash = test not done; § 28S, Fig. 3 reduced taxa set data, Shimodaira-Hasegawa test only; 1, 28S; 2, mtDNA; 3, COMBO.
∆ lnLBS ML†KH test†SH test† Parametric test*c ¶Hypothesis ofmonophyly12312312 31 2 312312 3Acanthodrilidae62.667.5126.3 0.000.000.00 <0.01 <0.01 <0.01<0.01 <0.01 <0.01 –––<0.01 <0.01<0.01Dichogastrini33.953.488.50.010.010.000.010.00 <0.010.10 <0.01 <0.01 –––0.01<0.01<0.01Octochaetidae7.014.321.00.250.030.000.570.10 0.020.58 0.40 0.37 0.01<0.01–0.260.03 <0.01RacemoseMegascolecidae16.719.031.50.030.050.030.080.09 0.050.25 0.26 0.16 <0.01<0.01–0.020.06 0.03Aquamegadrili §28.2––––––– –0.032 – –––––– –Lumbricoidea §35.7––––––– –0.011 – –––––– –
description: Published as part of Jamieson, Barrie G. M., Tillier, Simon, Tillier, Annie, Justine, Jean-Lou, Ling, Edmund, James, Sam, Mcdonald, Keith & Hugall, Andrew F., 2002, Phylogeny of the Megascolecidae and Crassiclitellata (Annelida, Oligochaeta): combined versus partitioned analysis using nuclear (28 S) and mitochondrial (12 S, 16 S) rDNA, pp. 724 in Zoosystema 24 (4) on page 724, DOI: 10.5281/zenodo.4524860
DOI: 10.5281/zenodo.15199923
title: TABLE 5 in Phylogeny of the Megascolecidae and Crassiclitellata (Annelida, Oligochaeta): combined versus partitioned analysis using nuclear (28 S) and mitochondrial (12 S, 16 S) rDNA

description: TABLE 5. — Comparison of likelihood ratio tests. †, best trees, fixed parameters; *, SOWH test, 100 replicates, fixed parameters; c ¶, expected likelihood weight Strimmer & Rambaut (2002). Shading indicates rejected at α <0.05; dash = test not done; § 28S, Fig. 3 reduced taxa set data, Shimodaira-Hasegawa test only; 1, 28S; 2, mtDNA; 3, COMBO.
∆ lnLBS ML†KH test†SH test† Parametric test*c ¶Hypothesis ofmonophyly12312312 31 2 312312 3Acanthodrilidae62.667.5126.3 0.000.000.00 <0.01 <0.01 <0.01<0.01 <0.01 <0.01 –––<0.01 <0.01<0.01Dichogastrini33.953.488.50.010.010.000.010.00 <0.010.10 <0.01 <0.01 –––0.01<0.01<0.01Octochaetidae7.014.321.00.250.030.000.570.10 0.020.58 0.40 0.37 0.01<0.01–0.260.03 <0.01RacemoseMegascolecidae16.719.031.50.030.050.030.080.09 0.050.25 0.26 0.16 <0.01<0.01–0.020.06 0.03Aquamegadrili §28.2––––––– –0.032 – –––––– –Lumbricoidea §35.7––––––– –0.011 – –––––– –
description: Published as part of Jamieson, Barrie G. M., Tillier, Simon, Tillier, Annie, Justine, Jean-Lou, Ling, Edmund, James, Sam, Mcdonald, Keith & Hugall, Andrew F., 2002, Phylogeny of the Megascolecidae and Crassiclitellata (Annelida, Oligochaeta): combined versus partitioned analysis using nuclear (28 S) and mitochondrial (12 S, 16 S) rDNA, pp. 724 in Zoosystema 24 (4) on page 724, DOI: 10.5281/zenodo.4524860
DOI: 10.15468/dl.setedw
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Tachiramantis Heinicke, Barrio-Amorós & Hedges, 2015",
 "TaxonKey is Pristimantis douglasi (Lynch, 1996)"
 ]
}

 The dataset's 2 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000362-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mqcqju
title: Occurrence Download

description: A dataset containing 300 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bolborhynchus ferrugineifrons (Lawrence, 1880)"
 ]
}

 The dataset includes 300 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000867-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mx7us
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Streptanthus vimineus (Greene) Al-Shehbaz & D.W.Taylor"
 ]
}

 The dataset includes 24 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065044-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ckcflt
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Coleção Zoológica da Universidade Federal de Mato Grosso do Sul - Peixes (ZUFMS-PIS)",
 "TaxonKey is Cichla piquiti Kullander & Ferreira, 2006"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016503-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yp2pmf
title: Occurrence Download

description: A dataset containing 1520 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Buxbaumia aphylla Hedw.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1520 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0141271-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h37ecr
title: Occurrence Download

description: A dataset containing 301 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Streptanthus hispidus A.Gray"
 ]
}

 The dataset includes 301 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065014-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xdgmhj
title: Occurrence Download

description: A dataset containing 449 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON((-80.31006 43.61222,-74.06982 43.61222,-74.06982 46.49839,-80.31006 46.49839,-80.31006 43.61222))",
 {
 "or" : [
 "TaxonKey is Vaccinium myrtilloides Michx.",
 "TaxonKey is Vaccinium angustifolium Aiton",
 "TaxonKey is Vaccinium corymbosum L.",
 "TaxonKey is Vaccinium pallidum Aiton"
 ]
 },
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 449 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016505-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.karkmv
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "Month is January",
 "Month is February",
 "Month is March",
 "Month is December",
 "Month is November"
 ]
 },
 "TaxonKey is Danaus plexippus (Linnaeus, 1758)",
 "Year 1970-2020"
 ]
}

 The dataset includes 41 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123929-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ckhxcr
title: Occurrence Download

description: A dataset containing 1487803 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mustelidae"
 ]
}

 The dataset includes 1487803 records from 4507 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004909-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ejdxm
title: Occurrence Download

description: A dataset containing 12140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-93.6103872999999993 41.6004732999999973, -93.6103872999999993 41.6074279700000034, -93.6103872999999993 41.6132845200000006, -93.6103872999999993 41.6195071200000015, -93.6103872999999993 41.6260957499999975, -93.6103872999999993 41.6323183499999985, -93.6103872999999993 41.6370768000000027, -93.6045247600000039 41.6370768000000027, -93.5953639199999969 41.6370768000000027, -93.5843709100000041 41.6370768000000027, -93.5788744099999974 41.6370768000000027, -93.5682478300000042 41.6370768000000027, -93.5601862900000043 41.6370768000000027, -93.5488268499999975 41.6370768000000027, -93.5414981800000049 41.6370768000000027, -93.5297726999999952 41.6370768000000027, -93.5297726999999952 41.6326843800000006, -93.5297726999999952 41.6271938599999984, -93.5297726999999952 41.6217033300000026, -93.5297726999999952 41.6125524600000034, -93.5297726999999952 41.6074279700000034, -93.5297726999999952 41.6004732999999973, -93.5371009699999973 41.6004732999999973, -93.5418646100000046 41.6004732999999973, -93.5510254499999974 41.6004732999999973, -93.5568883899999975 41.6004732999999973, -93.5642170600000043 41.6004732999999973, -93.5711792999999972 41.6004732999999973, -93.5763093700000042 41.6004732999999973, -93.5832716099999971 41.6004732999999973, -93.5884016800000040 41.6004732999999973, -93.5964632200000040 41.6004732999999973, -93.6030590299999972 41.6004732999999973, -93.6103872999999993 41.6004732999999973))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 12140 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094948-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4asjv3
title: Occurrence Download

description: A dataset containing 1575182 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liliales"
 ]
}

 The dataset includes 1575182 records from 1862 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094957-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11384837
title: ⏳ endoflife.date database (duckdb)
DOI: 10.15468/dl.e87afk
title: Occurrence Download

description: A dataset containing 6468 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ophiogomphus cecilia (Geoffroy, 1785), Tetrao tetrix Linnaeus, 1758)",
 "Year is not null",
 "Year is one of (2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023)",
 "HasCoordinate is TRUE",
 "DecimalLatitude is greater than or equal to 44.95782311925129",
 "DecimalLatitude is less than or equal to 58.30331634439415",
 "DecimalLongitude is greater than or equal to -10.001896207643075",
 "DecimalLongitude is less than or equal to 30.31691447027875",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 6468 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010837-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rg8v8z
title: Occurrence Download

description: A dataset containing 5266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myosotis sparsiflora J.C.Mikan ex Pohl)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 5266 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010839-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10759854
title: Latent Fingerprint In the Wild (LFIW) Database

description: Latent fingerprints are among the most important and widely used evidence in crime scenes, digital forensics and law enforcement worldwide. Despite the number of advancements reported in recent works, we note that significant open issues such as independent benchmarking and lack of largescale evaluation databases for improving the algorithms are inadequately addressed. The available databases are mostly of semi-public nature, lack of acquisition in the wild environment, and post-processing pipelines. Moreover, they do not represent a realistic capture scenario similar to real crime scenes, to benchmark the robustness of the algorithms. Further, existing databases for latent fingerprint recognition do not have a large number of unique subjects/fingerprint instances or do not provide ground truth/reference fingerprint images to conduct a cross-comparison against the latent. We introduce a new wild large-scale latent fingerprint database: Latent Fingerprint In the Wild (LFIW) that includes five different acquisition scenarios: reference fingerprints from (1) optical and (2) capacitive sensors, (3) smartphone fingerprints, latent fingerprints captured from (4) wall surface, (5) Ipad surface, and (6) aluminium foil surface. This new database consists of 600 unique fingerprint instances captured in all above-mentioned settings. A total of 1200 reference fingerprints from optical and capacitive sensors, 600 fingerphotos from smartphones, and 4200 latent fingerprints from each of the 60 subjects were provided in this work. The dataset is constructed considering various age groups, equal representations of genders and backgrounds. The LFIW latent fingerprint database enables researches in developing, testing and publishing human recognition algorithms.
DOI: 10.17028/rd.lboro.28751003
title: Supplementary information files for "Carbon and sediment fluxes inhibited in the submarine Congo Canyon by landslide-damming"

description: Supplementary files for article "Carbon and sediment fluxes inhibited in the submarine Congo Canyon by landslide-damming"Landslide-dams, which are often transient, can strongly affect the geomorphology, and sediment and geochemical fluxes, within subaerial fluvial systems. The potential occurrence and impact of analogous landslide-dams in submarine canyons has, however, been difficult to determine due to a scarcity of sufficiently time-resolved observations. Here we present repeat bathymetric surveys of a major submarine canyon, the Congo Canyon, offshore West Africa, from 2005 and 2019. We show how an ~0.09 km<sup>3</sup> canyon-flank landslide dammed the canyon, causing temporary storage of a further ~0.4 km<sup>3</sup> of sediment, containing ~5 Mt of primarily terrestrial organic carbon. The trapped sediment was up to 150 m thick and extended &gt;26 km up-canyon of the landslide-dam. This sediment has been transported by turbidity currents whose sediment load is trapped by the landslide-dam. Our results suggest canyon-flank collapses can be important controls on canyon morphology as they can generate or contribute to the formation of meander cut-offs, knickpoints and terraces. Flank collapses have the potential to modulate sediment and geochemical fluxes to the deep sea and may impact efficiency of major submarine canyons as transport conduits and locations of organic carbon sequestration. This has potential consequences for deep-sea ecosystems that rely on organic carbon transported through submarine canyons.<br><br>©The Author(s) CC BY 4.0
DOI: 10.17028/rd.lboro.28751003.v1
title: Supplementary information files for "Carbon and sediment fluxes inhibited in the submarine Congo Canyon by landslide-damming"

description: Supplementary files for article "Carbon and sediment fluxes inhibited in the submarine Congo Canyon by landslide-damming"Landslide-dams, which are often transient, can strongly affect the geomorphology, and sediment and geochemical fluxes, within subaerial fluvial systems. The potential occurrence and impact of analogous landslide-dams in submarine canyons has, however, been difficult to determine due to a scarcity of sufficiently time-resolved observations. Here we present repeat bathymetric surveys of a major submarine canyon, the Congo Canyon, offshore West Africa, from 2005 and 2019. We show how an ~0.09 km<sup>3</sup> canyon-flank landslide dammed the canyon, causing temporary storage of a further ~0.4 km<sup>3</sup> of sediment, containing ~5 Mt of primarily terrestrial organic carbon. The trapped sediment was up to 150 m thick and extended &gt;26 km up-canyon of the landslide-dam. This sediment has been transported by turbidity currents whose sediment load is trapped by the landslide-dam. Our results suggest canyon-flank collapses can be important controls on canyon morphology as they can generate or contribute to the formation of meander cut-offs, knickpoints and terraces. Flank collapses have the potential to modulate sediment and geochemical fluxes to the deep sea and may impact efficiency of major submarine canyons as transport conduits and locations of organic carbon sequestration. This has potential consequences for deep-sea ecosystems that rely on organic carbon transported through submarine canyons.<br><br>©The Author(s) CC BY 4.0
DOI: 10.5281/zenodo.10759853
title: Latent Fingerprint In the Wild (LFIW) Database

description: Latent fingerprints are among the most important and widely used evidence in crime scenes, digital forensics and law enforcement worldwide. Despite the number of advancements reported in recent works, we note that significant open issues such as independent benchmarking and lack of largescale evaluation databases for improving the algorithms are inadequately addressed. The available databases are mostly of semi-public nature, lack of acquisition in the wild environment, and post-processing pipelines. Moreover, they do not represent a realistic capture scenario similar to real crime scenes, to benchmark the robustness of the algorithms. Further, existing databases for latent fingerprint recognition do not have a large number of unique subjects/fingerprint instances or do not provide ground truth/reference fingerprint images to conduct a cross-comparison against the latent. We introduce a new wild large-scale latent fingerprint database: Latent Fingerprint In the Wild (LFIW) that includes five different acquisition scenarios: reference fingerprints from (1) optical and (2) capacitive sensors, (3) smartphone fingerprints, latent fingerprints captured from (4) wall surface, (5) Ipad surface, and (6) aluminium foil surface. This new database consists of 600 unique fingerprint instances captured in all above-mentioned settings. A total of 1200 reference fingerprints from optical and capacitive sensors, 600 fingerphotos from smartphones, and 4200 latent fingerprints from each of the 60 subjects were provided in this work. The dataset is constructed considering various age groups, equal representations of genders and backgrounds. The LFIW latent fingerprint database enables researches in developing, testing and publishing human recognition algorithms.
DOI: 10.15468/dl.ndwprq
title: Occurrence Download

description: A dataset containing 9880457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-10.41837 36.54746,-5.73677 36.54746,-5.73677 42.45556,-10.41837 42.45556,-10.41837 36.54746))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9880457 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010813-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pak9ds
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((78.76802 22.51472,121.23198 22.51472,121.23198 39.48528,78.76802 39.48528,78.76802 22.51472))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Diapensia bulleyana Forrest ex Diels"
 ]
}

 The dataset includes 50 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004053-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8nc35m
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((79.92764 21.47727,115.07236 21.47727,115.07236 35.52273,79.92764 35.52273,79.92764 21.47727))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Diapensia purpurea f. bulleyana (Forrest ex Diels) W.E.Evans"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004054-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.