cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.94xsp8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anathallis crassapex Luer & Toscano"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010990-250127130748423/datasets/export for details.
DOI: 10.25582/data.2023-12.2977047/2509526
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2977050/2509527
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2977085/2509528
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2977088/2509529
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2977108/2509530
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2977135/2509531
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2977137/2509532
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2977295/2509533
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2977301/2509534
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2977337/2509535
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2977338/2509536
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2977358/2509537
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2977361/2509538
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2977377/2509539
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2977381/2509540
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2977395/2509541
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2977408/2509542
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2977417/2509543
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2977430/2509544
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2977439/2509545
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2977451/2509546
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2978692/2509547
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2978711/2509548
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2978732/2509549
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2978733/2509550
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979020/2509551
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979046/2509552
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979048/2509553
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979065/2509554
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979066/2509555
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979077/2509556
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979079/2509557
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979089/2509558
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979093/2509559
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979100/2509560
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979113/2509561
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979120/2509562
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979132/2509563
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979143/2509564
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979260/2509565
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979267/2509566
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979274/2509567
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979299/2509568
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979307/2509569
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979323/2509570
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979331/2509571
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979350/2509572
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979359/2509573
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979369/2509574
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979449/2509575
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979450/2509576
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979483/2509577
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979487/2509578
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979523/2509579
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979525/2509580
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979546/2509581
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979549/2509582
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979561/2509583
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979564/2509584
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979576/2509585
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979577/2509586
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979592/2509587
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979593/2509588
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979745/2509589
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979746/2509590
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979792/2509591
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979836/2509592
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979837/2509593
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2979839/2509594
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2980061/2509595
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2980068/2509596
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2980070/2509597
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2980074/2509598
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2980076/2509599
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2980079/2509600
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2980084/2509601
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2980085/2509602
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2980093/2509603
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2980100/2509604
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2980101/2509605
title: Data for EMSL Project 51912 from December 2023
DOI: 10.15468/dl.42p3gm
title: Occurrence Download

description: A dataset containing 3034045 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3034045 records from 1160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010989-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-12.2980109/2509606
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2980110/2509607
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2980123/2509608
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2980127/2509609
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2980133/2509610
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2980138/2509611
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2980139/2509612
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2980144/2509613
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2980145/2509614
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2980157/2509615
title: Data for EMSL Project 51912 from December 2023
DOI: 10.25582/data.2023-12.2980231/2509616
title: Data for EMSL Project 51912 from December 2023
DOI: 10.15468/dl.3nkgfu
title: Occurrence Download

description: A dataset containing 572963 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Pakistan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 572963 records from 519 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010991-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kyrfms
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.97974 -33.285519, 149.97974 -33.294502, 149.986477 -33.294502, 149.986477 -33.287765, 149.981985 -33.287765, 149.981985 -33.285519, 149.97974 -33.285519))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057800-240626123714530/datasets/export for details.
DOI: 10.5258/soton/d2006
title: Dataset for the Thesis "Generalized methodology for control of long-lived nuclear spin order in magnetic resonance"

description: Contains the relevant diagrams and simulations that appear in my thesis "Generalized Methodology for Control of Long-lived Nuclear Spin Order in Magnetic Resonance".

All of the figures can be accessed with open graphical processing software (I recommend paint.net), while the simulations rely on the openly available SpinDynamica and SPINACH packages. However, the proprietary softwares Mathematica, MatLab, and MestreNova are needed to access the spectra/simulations.
DOI: 10.15468/dl.zd9477
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.301508 -33.285519, 149.301508 -33.287765, 149.297017 -33.287765, 149.297017 -33.294502, 149.301508 -33.294502, 149.301508 -33.290011, 149.303754 -33.290011, 149.303754 -33.294502, 149.306 -33.294502, 149.306 -33.287765, 149.303754 -33.287765, 149.303754 -33.285519, 149.301508 -33.285519))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057803-240626123714530/datasets/export for details.
DOI: 10.15468/dl.jkz35a
title: Occurrence Download

description: A dataset containing 1211 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Zenobia D.Don"
 ]
}

 The dataset includes 1211 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057804-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11260664
title: Genome sequence of the sugarcane aphid, Melanaphis sacchari (Hemiptera: Aphididae)

description: The sugarcane aphid, Melanaphis sacchari (Zehntner, 1897), is an agricultural pest that causes damage to plants in the Poaceae (the grasses) family, such as sorghum and sugarcane. However, genomic resources of this species are currently limited. Here, we used Nanopore long reads and Hi-C interaction map to generate a chromosome-level assembly with a total length of 356.1 Mb, of which 85.5% (304.6 Mb) is contained within the three autosomes and the X chromosome. Repetitive sequences accounted for 16.29% of the chromosomes and a total of 12,350 protein-coding genes were annotated, achieving 95.8% benchmarking universal single-copy orthologs (BUSCO) gene completeness. Phylogenomic analysis by comparing M. sacchari with twenty-four published aphid genomes representing three aphid tribes reveals that M. sacchari belongs to the tribe Aphidini and maintained a conserved chromosome structure with other Aphidini species. The genomic resources reported in this study will be useful for understanding the evolution of aphid genomes and studying pest management of M. sacchari.
DOI: 10.5281/zenodo.11260665
title: Genome sequence of the sugarcane aphid, Melanaphis sacchari (Hemiptera: Aphididae)

description: The sugarcane aphid, Melanaphis sacchari (Zehntner, 1897), is an agricultural pest that causes damage to plants in the Poaceae (the grasses) family, such as sorghum and sugarcane. However, genomic resources of this species are currently limited. Here, we used Nanopore long reads and Hi-C interaction map to generate a chromosome-level assembly with a total length of 356.1 Mb, of which 85.5% (304.6 Mb) is contained within the three autosomes and the X chromosome. Repetitive sequences accounted for 16.29% of the chromosomes and a total of 12,350 protein-coding genes were annotated, achieving 95.8% benchmarking universal single-copy orthologs (BUSCO) gene completeness. Phylogenomic analysis by comparing M. sacchari with twenty-four published aphid genomes representing three aphid tribes reveals that M. sacchari belongs to the tribe Aphidini and maintained a conserved chromosome structure with other Aphidini species. The genomic resources reported in this study will be useful for understanding the evolution of aphid genomes and studying pest management of M. sacchari.
DOI: 10.5281/zenodo.11363012
title: Genome sequence of the sugarcane aphid, Melanaphis sacchari (Hemiptera: Aphididae)

description: The sugarcane aphid, Melanaphis sacchari (Zehntner, 1897), is an agricultural pest that causes damage to plants in the Poaceae (the grasses) family, such as sorghum and sugarcane. However, genomic resources of this species are currently limited. Here, we used Nanopore long reads and Hi-C interaction map to generate a chromosome-level assembly with a total length of 356.1 Mb, of which 85.5% (304.6 Mb) is contained within the three autosomes and the X chromosome. Repetitive sequences accounted for 16.29% of the chromosomes and a total of 12,350 protein-coding genes were annotated, achieving 95.8% benchmarking universal single-copy orthologs (BUSCO) gene completeness. Phylogenomic analysis by comparing M. sacchari with twenty-four published aphid genomes representing three aphid tribes reveals that M. sacchari belongs to the tribe Aphidini and maintained a conserved chromosome structure with other Aphidini species. The genomic resources reported in this study will be useful for understanding the evolution of aphid genomes and studying pest management of M. sacchari.
DOI: 10.5281/zenodo.13283872
title: Genome sequence of the sugarcane aphid, Melanaphis sacchari (Hemiptera: Aphididae)

description: The sugarcane aphid, Melanaphis sacchari (Zehntner, 1897), is an agricultural pest that causes damage to plants in the Poaceae (the grasses) family, such as sorghum and sugarcane. However, genomic resources of this species are currently limited. Here, we used Nanopore long reads and Hi-C interaction map to generate a chromosome-level assembly with a total length of 356.1 Mb, of which 85.5% (304.6 Mb) is contained within the three autosomes and the X chromosome. Repetitive sequences accounted for 16.29% of the chromosomes and a total of 12,350 protein-coding genes were annotated, achieving 95.8% benchmarking universal single-copy orthologs (BUSCO) gene completeness. Phylogenomic analysis by comparing M. sacchari with twenty-four published aphid genomes representing three aphid tribes reveals that M. sacchari belongs to the tribe Aphidini and maintained a conserved chromosome structure with other Aphidini species. The genomic resources reported in this study will be useful for understanding the evolution of aphid genomes and studying pest management of M. sacchari.
DOI: 10.15468/dl.kb9kh6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.515479 -33.27429, 148.528954 -33.27429, 148.528954 -33.272044, 148.515479 -33.272044, 148.515479 -33.27429)), ((148.515479 -33.27429, 148.513233 -33.27429, 148.513233 -33.278782, 148.515479 -33.278782, 148.515479 -33.27429)), ((148.528954 -33.27429, 148.528954 -33.278782, 148.531199 -33.278782, 148.531199 -33.27429, 148.528954 -33.27429)), ((148.531199 -33.278782, 148.531199 -33.294502, 148.535691 -33.294502, 148.535691 -33.278782, 148.531199 -33.278782)), ((148.535691 -33.294502, 148.535691 -33.296748, 148.537937 -33.296748, 148.537937 -33.294502, 148.535691 -33.294502)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057806-240626123714530/datasets/export for details.
DOI: 10.15468/dl.fd8xj3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.387468 -33.287765, 148.387468 -33.292256, 148.385222 -33.292256, 148.385222 -33.294502, 148.382977 -33.294502, 148.382977 -33.30124, 148.385222 -33.30124, 148.385222 -33.296748, 148.389714 -33.296748, 148.389714 -33.294502, 148.39196 -33.294502, 148.39196 -33.287765, 148.387468 -33.287765))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057807-240626123714530/datasets/export for details.
DOI: 10.15468/dl.uezzmy
title: Occurrence Download

description: A dataset containing 671048 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is FRA.11_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Poaceae"
 ]
}

 The dataset includes 671048 records from 649 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057797-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p5wws4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.544674 -33.290011, 148.544674 -33.307977, 148.551412 -33.307977, 148.551412 -33.296748, 148.549166 -33.296748, 148.549166 -33.290011, 148.544674 -33.290011))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057808-240626123714530/datasets/export for details.
DOI: 10.15468/dl.zwstz9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.564886 -33.287765, 148.564886 -33.290011, 148.560395 -33.290011, 148.560395 -33.294502, 148.569378 -33.294502, 148.569378 -33.290011, 148.567132 -33.290011, 148.567132 -33.287765, 148.564886 -33.287765)), ((148.569378 -33.294502, 148.569378 -33.296748, 148.576115 -33.296748, 148.576115 -33.294502, 148.569378 -33.294502)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057810-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.10199628
title: Experimental raw data sets associated with certified reference material BAM-P116 (titanium dioxide) for comparison of nitrogen and argon sorption, available in the universal adsorption information format (AIF)

description: These data sets serve as models for calculating the specific surface area (BET method) using gas sorption in accordance with ISO 9277.The present measurements were carried out with nitrogen at 77 Kelvin and argon at 87 Kelvin.It is recommended to use the following requirements for the molecular cross-sectional area:Nitrogen: 0.1620 nm²Argon: 0.1420 nm²

Expected specific surface area for nitrogen (BET): 305 to 345 m²/gExpected specific surface area for argon (BET): 300 to 310 m²/g

Titanium dioxides certified with nitrogen sorption and additionally measured with argon for research purposes were used as sample material.The resulting data sets are intended to serve as comparative data for own measurements and show the differences in sorption behaviour and evaluations between nitrogen and argon.These data are stored in the universal AIF format (adsorption information format), which allows flexible use of the data.
DOI: 10.5281/zenodo.10199629
title: Experimental raw data sets associated with certified reference material BAM-P116 (titanium dioxide) for comparison of nitrogen and argon sorption, available in the universal adsorption information format (AIF)

description: These data sets serve as models for calculating the specific surface area (BET method) using gas sorption in accordance with ISO 9277.The present measurements were carried out with nitrogen at 77 Kelvin and argon at 87 Kelvin.It is recommended to use the following requirements for the molecular cross-sectional area:Nitrogen: 0.1620 nm²Argon: 0.1420 nm²

Expected specific surface area for nitrogen (BET): 305 to 345 m²/gExpected specific surface area for argon (BET): 300 to 310 m²/g

Titanium dioxides certified with nitrogen sorption and additionally measured with argon for research purposes were used as sample material.The resulting data sets are intended to serve as comparative data for own measurements and show the differences in sorption behaviour and evaluations between nitrogen and argon.These data are stored in the universal AIF format (adsorption information format), which allows flexible use of the data.
DOI: 10.15468/dl.hr2yha
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.850103 -33.290011, 148.850103 -33.296748, 148.852349 -33.296748, 148.852349 -33.290011, 148.850103 -33.290011))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057812-240626123714530/datasets/export for details.
DOI: 10.15468/dl.eb7heb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.261703 -33.294502, 148.261703 -33.303485, 148.259458 -33.303485, 148.259458 -33.307977, 148.266195 -33.307977, 148.266195 -33.294502, 148.261703 -33.294502))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057813-240626123714530/datasets/export for details.