cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.mrxh7g
title: Occurrence Download

description: A dataset containing 1232 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "TaxonKey is one of (Saguinus oedipus (Linnaeus, 1758))"
 ]
}

 The dataset includes 1232 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020136-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ka3f9
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-8.45787 38.31064,17.45787 38.31064,17.45787 48.68936,-8.45787 48.68936,-8.45787 38.31064))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhizopulvinaria artemisiae (Signoret, 1873)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020138-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/1bcc4w
title: RawData_Spray_4bars-2.tab
DOI: 10.57745/ip84yp
title: RawData_Spray_8bars.txt
DOI: 10.57745/tp3oi6
title: RawData_Spray_8bars-2.tab
DOI: 10.57745/yh7y04
title: RawData_Spray_4bars.txt
DOI: 10.57745/z5k99b
title: RawData_Test01_Mass-2.tab
DOI: 10.57745/2obibc
title: RawData_Test02_Thermocouples-2.tab
DOI: 10.57745/3cnunq
title: RawData_Test02_Mass-2.tab
DOI: 10.57745/5uwyp4
title: RawData_Test02_Thermocouples.txt
DOI: 10.57745/etsmv8
title: RawData_Test02_Mass.txt
DOI: 10.57745/i1qvzx
title: RawData_Test01_Thermocouples.txt
DOI: 10.57745/lguv3x
title: RawData_Test01_Mass.txt
DOI: 10.57745/meyeib
title: RawData_Test01_Thermocouples-2.tab
DOI: 10.57745/7hrzm3
title: RawData_Test04_Thermocouples-2.tab
DOI: 10.57745/bhi6wi
title: RawData_Test03_Thermocouples-2.tab
DOI: 10.57745/ebsuhh
title: RawData_Test04_Mass-2.tab
DOI: 10.57745/i1qdtt
title: RawData_Test03_Thermocouples.txt
DOI: 10.57745/kqt0ar
title: RawData_Test03_Mass.txt
DOI: 10.57745/q10ses
title: RawData_Test03_Mass-2.tab
DOI: 10.57745/w1ed50
title: RawData_Test04_Mass.txt
DOI: 10.57745/06odiw
title: RawData_Test05_Mass.txt
DOI: 10.57745/9cqhgd
title: RawData_Test06_Thermocouples.txt
DOI: 10.57745/bklv2d
title: RawData_Test04_Thermocouples.txt
DOI: 10.57745/dmvvig
title: RawData_Test05_Mass-2.tab
DOI: 10.57745/gt2ryy
title: RawData_Test05_Thermocouples-2.tab
DOI: 10.57745/h1kvef
title: RawData_Test06_Thermocouples-2.tab
DOI: 10.57745/hazoly
title: RawData_Test07_Mass-2.tab
DOI: 10.57745/k9zfyu
title: RawData_Test06_Mass.txt
DOI: 10.57745/khxd9a
title: RawData_Test06_Mass-2.tab
DOI: 10.57745/nqnrgx
title: RawData_Test05_Thermocouples.txt
DOI: 10.57745/683ohp
title: RawData_Test07_Mass.txt
DOI: 10.57745/e5ufvt
title: RawData_Test08_Mass-2.tab
DOI: 10.57745/foe3db
title: RawData_Test09_Thermocouples-2.tab
DOI: 10.57745/hv3swk
title: RawData_Test08_Mass.txt
DOI: 10.57745/phdfe7
title: RawData_Test08_Thermocouples-2.tab
DOI: 10.57745/plemlb
title: RawData_Test09_Mass.txt
DOI: 10.57745/plvgma
title: RawData_Test08_Thermocouples.txt
DOI: 10.57745/qww70m
title: RawData_Test07_Thermocouples.txt
DOI: 10.57745/sjgvvi
title: RawData_Test07_Thermocouples-2.tab
DOI: 10.57745/xgvgnk
title: RawData_Test09_Mass-2.tab
DOI: 10.15468/dl.k7k5ye
title: Occurrence Download

description: A dataset containing 3189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Helianthus ×laetiflorus Pers."
 ]
}

 The dataset includes 3189 records from 192 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020137-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/gcd8tc
title: RawData_Test11_Thermocouples.txt
DOI: 10.57745/hc5doo
title: RawData_Test11_Thermocouples-2.tab
DOI: 10.57745/ncy6bw
title: RawData_Test10_Mass.txt
DOI: 10.57745/otgu9a
title: RawData_Test10_Thermocouples-2.tab
DOI: 10.57745/qkziqr
title: RawData_Test11_Mass-2.tab
DOI: 10.57745/vc7g3i
title: RawData_Test10_Mass-2.tab
DOI: 10.57745/w8kxxg
title: RawData_Test11_Mass.txt
DOI: 10.57745/xctjwu
title: RawData_Test09_Thermocouples.txt
DOI: 10.57745/zxjuu5
title: RawData_Test10_Thermocouples.txt
DOI: 10.57745/7bksrk
title: RawData_Test12_Mass.txt
DOI: 10.57745/eq6kcy
title: RawData_Test12_Mass-2.tab
DOI: 10.57745/gqejmy
title: RawData_Test13_Thermocouples.txt
DOI: 10.57745/iiryfp
title: RawData_Test13_Thermocouples-2.tab
DOI: 10.57745/srhi3n
title: RawData_Test12_Thermocouples-2.tab
DOI: 10.57745/u2tzud
title: RawData_Test14_Mass-2.tab
DOI: 10.57745/vszzpy
title: RawData_Test12_Thermocouples.txt
DOI: 10.57745/yjwiwo
title: RawData_Test13_Mass.txt
DOI: 10.57745/ys45ip
title: RawData_Test13_Mass-2.tab
DOI: 10.57745/6si1ix
title: RawData_Test14_Mass.txt
DOI: 10.57745/cnmko4
title: RawData_Test16_Thermocouples-2.tab
DOI: 10.57745/ddkjjd
title: RawData_Test15_Mass.txt
DOI: 10.57745/f5treo
title: RawData_Test16_Mass.txt
DOI: 10.57745/hdnwcm
title: RawData_Test14_Thermocouples-2.tab
DOI: 10.57745/jamam0
title: RawData_Test15_Thermocouples.txt
DOI: 10.57745/jep4wi
title: RawData_Test15_Thermocouples-2.tab
DOI: 10.57745/qj7s0t
title: RawData_Test15_Mass-2.tab
DOI: 10.57745/uf1ot6
title: RawData_Test14_Thermocouples.txt
DOI: 10.57745/vhphhl
title: RawData_Test16_Mass-2.tab
DOI: 10.57745/0asyzf
title: RawData_Test18_Thermocouples-2.tab
DOI: 10.57745/6jnawh
title: RawData_Test17_Thermocouples.txt
DOI: 10.57745/9jl6rh
title: RawData_Test18_Mass-2.tab
DOI: 10.57745/aj6lbr
title: RawData_Test17_Mass.txt
DOI: 10.57745/ht4sde
title: RawData_Test17_Mass-2.tab
DOI: 10.57745/jyvad3
title: RawData_Test18_Mass.txt
DOI: 10.57745/lvjgqf
title: RawData_Test18_Thermocouples.txt
DOI: 10.57745/tc4lf5
title: RawData_Test16_Thermocouples.txt
DOI: 10.57745/vpjioi
title: RawData_Test17_Thermocouples-2.tab
DOI: 10.57745/1pyatg
title: RawData_Test19_Mass.txt
DOI: 10.57745/3kve6w
title: RawData_Test19_Thermocouples-2.tab
DOI: 10.57745/bwemt0
title: Readme.txt
DOI: 10.57745/dpwl4h
title: Readme.txt
DOI: 10.57745/ispe08
title: Readme_RawData_Test.txt
DOI: 10.57745/pbkmkb
title: Readme_RawData_Spray.txt
DOI: 10.57745/pe4xwe
title: RawData_Test19_Thermocouples.txt
DOI: 10.57745/rij8vt
title: RawData_Test19_Mass-2.tab
DOI: 10.21227/xag0-3668
title: SPLAS

description: This is a lightweight and versatile robustness benchmark built upon the training set of ImageNet-1K. It contains an overall of 50,000 images, divided in 5 components, evenly distributed over 1,000 classes. It assesses the performance of a classification model in five aspects: accuracy on intrinsically difficult images (SuperHard, SH), images with partial information (PartialInfo, PI), robustness against low resolution (LowResolution, LR), adversarial attacks (AdversarialAttack, AA), and speckle noise (SpeckleNoise, SN).Compared to previous robustness benchmark, SPLAS is outstanding regarding its size, versatility, and reproducibility. More importantly, the amount of human intervention on the construction is minimal. Particularly, there is no intervention of human’s decision on image inclusion, thus the whole benchmark is constructed based on the understanding of deep learning models.
DOI: 10.15468/dl.8f2jrt
title: Occurrence Download

description: A dataset containing 245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Silene multicaulis Guss., Silene multicaulis Boiss., Silene multicaulis Durand, Silene multicaulis Nutt., Silene multicaulis Nutt. ex Torr. & A.Gray, Stachys tymphaea Hausskn., Tragopogon samaritanii Boiss., Tragopogon samaritani Heldr. & Sart., Trinia dalechampii (Ten.) Janch., Verbascum longifolium Ten., Verbascum longifolium DC., Verbascum linguifolium Hub.-Mor., Verbascum samniticum Ten., Veronica kindlii Adamovic, Achillea virescens (Fenzl) Heimerl, Achillea nigrescens (E.Mey.) Rydb.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 245 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020141-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7274/27642990
title: Deciphering the Intracellular Niche of <em>Cryptococcus neoformans </em>in Alveolar Macrophages

description: Cryptococcus neoformans is a fungal pathogen responsible for ~200,000 deaths yearly. This ubiquitously present yeast affects immunocompromised individuals, which left untreated is invariably fatal. Once C. neoformans particles are inhaled and make their way into the lungs they encounter alveolar macrophages. Here, interactions influence whether the infection is controlled or disseminates to cause disease. Since C. neoformans can survive and replicate inside host macrophages, they represent a safe haven, hidden from the immune response of the body. The mechanisms C. neoformans use to mediate intracellular parasitism are not fully understood. Even less is known about how immune signals impact this niche. Therefore, we aim to gain a better understanding of the macrophage–cryptococcal interactions and decipher the properties of the cryptococcal-containing phagosome (CCP), which may be key to determining infection outcome. We identified three populations of CCPs with different behaviors: one that gains acidification after phagocytosis but subsequently loses it; some that acidify and remain acidic; and some that never acidify. We also directly observed phagosomal membrane damage, suggesting a possible mechanism for pH manipulation. This contrasts with phagosomes containing S. cerevisiae, which rapidly acidify, stay acidic, and have low levels of membrane damage. Moreover, we have identified a population of CCPs that display both early endosomal lipid and lysosomal protein characteristics, a combination not normally observed. This suggests C. neoformans can alter its phagosome and provides a potential mechanism for intracellular survival that may be driving pathogenesis. We have demonstrated a delay in acquisition of lysosomal markers to CCPs. When macrophages are stimulated with interferon-?, acquisition of lysosomal markers occurs more rapidly. Host Rab20 has been shown to be interferon-? inducible and appears to facilitate this promotion of phago-lysosomal fusion and may be key in influencing the infection, thereby linking host immune status and phagosomal properties during cryptococcal infection.
DOI: 10.7274/27642990.v1
title: Deciphering the Intracellular Niche of <em>Cryptococcus neoformans </em>in Alveolar Macrophages

description: Cryptococcus neoformans is a fungal pathogen responsible for ~200,000 deaths yearly. This ubiquitously present yeast affects immunocompromised individuals, which left untreated is invariably fatal. Once C. neoformans particles are inhaled and make their way into the lungs they encounter alveolar macrophages. Here, interactions influence whether the infection is controlled or disseminates to cause disease. Since C. neoformans can survive and replicate inside host macrophages, they represent a safe haven, hidden from the immune response of the body. The mechanisms C. neoformans use to mediate intracellular parasitism are not fully understood. Even less is known about how immune signals impact this niche. Therefore, we aim to gain a better understanding of the macrophage–cryptococcal interactions and decipher the properties of the cryptococcal-containing phagosome (CCP), which may be key to determining infection outcome. We identified three populations of CCPs with different behaviors: one that gains acidification after phagocytosis but subsequently loses it; some that acidify and remain acidic; and some that never acidify. We also directly observed phagosomal membrane damage, suggesting a possible mechanism for pH manipulation. This contrasts with phagosomes containing S. cerevisiae, which rapidly acidify, stay acidic, and have low levels of membrane damage. Moreover, we have identified a population of CCPs that display both early endosomal lipid and lysosomal protein characteristics, a combination not normally observed. This suggests C. neoformans can alter its phagosome and provides a potential mechanism for intracellular survival that may be driving pathogenesis. We have demonstrated a delay in acquisition of lysosomal markers to CCPs. When macrophages are stimulated with interferon-?, acquisition of lysosomal markers occurs more rapidly. Host Rab20 has been shown to be interferon-? inducible and appears to facilitate this promotion of phago-lysosomal fusion and may be key in influencing the infection, thereby linking host immune status and phagosomal properties during cryptococcal infection.
DOI: 10.7274/27626409
title: The Synthesis of Analogs of Cruentaren A and Hsp90B-Selective Inhibitors

description: In this dissertation, I present my work performed on two main projects; the natural product synthesis of Cruentaren A and analogs thereof, and the synthesis of Hsp90ß-selective inhibitors. A thorough introduction to F1FO ATP synthase and Hsp90ß is provided, followed by the development of Cruentaren A analogs that evaluate the epimerization of several chiral centers as well as late-stage modifications of Cruentaren A. The work then shifts to the development of a series of Hsp90ß-selective inhibitors to evaluate the solvent-exposed region of the binding pocket, and finally, the design and development of Hsp90ß-selective lysine targeted covalent inhibitors (TCIs).
DOI: 10.7274/27626409.v1
title: The Synthesis of Analogs of Cruentaren A and Hsp90B-Selective Inhibitors

description: In this dissertation, I present my work performed on two main projects; the natural product synthesis of Cruentaren A and analogs thereof, and the synthesis of Hsp90ß-selective inhibitors. A thorough introduction to F1FO ATP synthase and Hsp90ß is provided, followed by the development of Cruentaren A analogs that evaluate the epimerization of several chiral centers as well as late-stage modifications of Cruentaren A. The work then shifts to the development of a series of Hsp90ß-selective inhibitors to evaluate the solvent-exposed region of the binding pocket, and finally, the design and development of Hsp90ß-selective lysine targeted covalent inhibitors (TCIs).
DOI: 10.15468/dl.bb8dhz
title: Occurrence Download

description: A dataset containing 588 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tarenaya hassleriana (Chodat) Iltis"
 ]
}

 The dataset includes 588 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020143-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7274/27610806
title: Rapid Membrane-Based Digestion and Purification For LC-MS Protein Analysis

description: Glycosylation plays a critical role in the bioactivity of proteins. For example, glycosylation of the SARS-CoV-2 Spike receptor-binding domain affects viral entry into host cells. Similarly, the glycosylation of erythropoietin and monoclonal antibodies significantly influences their pharmacokinetic and pharmacodynamic properties. The bottom-up approach, which enables the attachment of glycans to peptides, is one of the most straightforward methods for studying protein glycosylation by liquid chromatography-mass spectrometry (LC-MS). In addition to identifying non-glycosylated peptides, it facilitates the analysis of site-specific glycosylation. However, this approach typically requires several hours or even overnight digestion. The digestion process becomes even more prolonged when multiple proteases are needed, which significantly hampers the efficiency of protein glycosylation analysis.

 The research presented in this dissertation utilized protease-immobilized membranes to enable rapid protein digestion. This method achieves comparable glycan identification and semi-quantitative assessments to conventional overnight in-solution digestion. Further studies explored the use of tandem membranes, consisting of trypsin-immobilized membranes and C18-derivatized membranes, to streamline protein digestion and peptide purification. During centrifugation, proteins are initially digested in the first layer (trypsin-immobilized membranes), and the resulting peptides are subsequently enriched in the second layer (C18-derivatized membranes). Most salts and contaminants pass through the membranes and are effectively removed from the protein digests. This technique has been successfully applied to the sequence and glycosylation analysis of commercial monoclonal antibodies (Kanjinti, Bevacizumab, and Rituximab), as well as to the analysis of host cell proteins and in-house expressed antibodies. This prototype could prove valuable for real-time monitoring of product glycosylation, ensuring the consistency and efficacy of therapeutic agents.
DOI: 10.7274/27610806.v1
title: Rapid Membrane-Based Digestion and Purification For LC-MS Protein Analysis

description: Glycosylation plays a critical role in the bioactivity of proteins. For example, glycosylation of the SARS-CoV-2 Spike receptor-binding domain affects viral entry into host cells. Similarly, the glycosylation of erythropoietin and monoclonal antibodies significantly influences their pharmacokinetic and pharmacodynamic properties. The bottom-up approach, which enables the attachment of glycans to peptides, is one of the most straightforward methods for studying protein glycosylation by liquid chromatography-mass spectrometry (LC-MS). In addition to identifying non-glycosylated peptides, it facilitates the analysis of site-specific glycosylation. However, this approach typically requires several hours or even overnight digestion. The digestion process becomes even more prolonged when multiple proteases are needed, which significantly hampers the efficiency of protein glycosylation analysis.

 The research presented in this dissertation utilized protease-immobilized membranes to enable rapid protein digestion. This method achieves comparable glycan identification and semi-quantitative assessments to conventional overnight in-solution digestion. Further studies explored the use of tandem membranes, consisting of trypsin-immobilized membranes and C18-derivatized membranes, to streamline protein digestion and peptide purification. During centrifugation, proteins are initially digested in the first layer (trypsin-immobilized membranes), and the resulting peptides are subsequently enriched in the second layer (C18-derivatized membranes). Most salts and contaminants pass through the membranes and are effectively removed from the protein digests. This technique has been successfully applied to the sequence and glycosylation analysis of commercial monoclonal antibodies (Kanjinti, Bevacizumab, and Rituximab), as well as to the analysis of host cell proteins and in-house expressed antibodies. This prototype could prove valuable for real-time monitoring of product glycosylation, ensuring the consistency and efficacy of therapeutic agents.
DOI: 10.15468/dl.bh65bv
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "StateProvince is one of (TENnessee, TEnnessee, Tenn, Tenn., Tenneessee, Tennesse, Tennesee, Tn)",
 "TaxonKey is Capnoides sempervirens (L.) Borkh.",
 "Year 1960-2024"
 ]
}

 The dataset includes 18 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020144-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fkhvqa
title: Occurrence Download

description: A dataset containing 176937 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Magnoliaceae"
 ]
}

 The dataset includes 176937 records from 1114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020129-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13318035
title: Polytraits: Polytraits with association data

description: [Polytraits](http://polytraits.lifewatchgreece.eu/) is a database on biological traits of polychaetes (bristle worms, Polychaeta: Annelida). It covers information about the morphology, behaviour, reproduction and larval characteristics of polychaete taxa. The project was initially started as an in-house project of Institute of Marine Biology, Biotechnology and Aquaculture of the Hellenic Centre for Marine Research. Traits were initially collected for an analysis of the biological traits of polychaetes in Mediterranean lagoons, but since then the database has been continuously expanded to serve the data needs for other analyses. Currently, polytraits is being maintained by the Institute for Marine Biology, Biotechnology and Aquaculture of the Hellenic Centre for Marine Research and will be supported by (and function as a part of) the Greek LIFEWATCH infrastructure. A detailed description of the database and its contents have been submitted as a datapaper to the Biodiversity Data Journal : Faulwetter S, Arvanitidis C, Markantonatou V, Pavloudi C, Keklikoglou, K, Papageorgiou N, Chatzinikolaou E, Dailianis T, Chatzigeorgiou G, Vasileiadou A, Pafilis E, Koulouri P, Fanini L (2013). Polytraits: A database on biological traits of polychaetes. Biodiversity Data Journal (submitted)

 

http://polytraits.lifewatchgreece.eu/
DOI: 10.5281/zenodo.13318036
title: Polytraits: Polytraits with association data

description: [Polytraits](http://polytraits.lifewatchgreece.eu/) is a database on biological traits of polychaetes (bristle worms, Polychaeta: Annelida). It covers information about the morphology, behaviour, reproduction and larval characteristics of polychaete taxa. The project was initially started as an in-house project of Institute of Marine Biology, Biotechnology and Aquaculture of the Hellenic Centre for Marine Research. Traits were initially collected for an analysis of the biological traits of polychaetes in Mediterranean lagoons, but since then the database has been continuously expanded to serve the data needs for other analyses. Currently, polytraits is being maintained by the Institute for Marine Biology, Biotechnology and Aquaculture of the Hellenic Centre for Marine Research and will be supported by (and function as a part of) the Greek LIFEWATCH infrastructure. A detailed description of the database and its contents have been submitted as a datapaper to the Biodiversity Data Journal : Faulwetter S, Arvanitidis C, Markantonatou V, Pavloudi C, Keklikoglou, K, Papageorgiou N, Chatzinikolaou E, Dailianis T, Chatzigeorgiou G, Vasileiadou A, Pafilis E, Koulouri P, Fanini L (2013). Polytraits: A database on biological traits of polychaetes. Biodiversity Data Journal (submitted)

 

http://polytraits.lifewatchgreece.eu/
DOI: 10.15468/dl.jxa6xa
title: Occurrence Download

description: A dataset containing 6503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Persicaria pensylvanica (L.) M.Gómez"
 ]
}

 The dataset includes 6503 records from 212 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020145-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.