cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13937259
title: TABLE 2 in New records of Gemeneta opilionoides (Orthoptera, Catantopinae) in the world's second largest rainforest

description: TABLE 2. Plant species composition in the Gemeneta opilionoides habitat at Ngutadjap in Cameroon. 5: coverage>75% of the referenced surface; 4: coverage between 50–75% of the referenced surface; 3: coverage between 50–25% of the referenced surface; 2: coverage between 25–5% of the referenced surface; 1: coverage <5% of the referenced surface; +: few individuals, very low coverage.
FamilyGenusSpeciesType of plantIndex of AbundanceApocynaceaeAlstoniaAlstonia booneiTree1TabernaemontanaTabernaemontana brachyanthaShrub1VoacangaVoacanga sp.Shrub+AraceaeNephthytisNephthytis afzeliiHerb+RhektophyllumRhektophyllum camerounenseHerb+EpipremnumEpipremnum pinnatumHerb+DennstaedtiaceaeLonchitisLonchitis sp.Fern+PteridiumPteridium aquilinumFern5BlotiellaBlotiella curroriiFern2MarantaceaeMarantochloaMarantochloa confertaHerb2AfrocalantheaAfrocalanthea rhizanthaHerb2HypselodelphysHypselodelphys sp.Herb2MenispermaceaeJateorhizaJateorhiza macranthaLiana+TriclisiaTriclisia dictyophyllaLiana+ArecaceaeEremospathaEremospatha macrocarpaShrub2RaphiaRaphia fariniferaShrub2AspleniaceaeAspleniumAsplenium curroriFern+Asplenium sp.Fern+LeeaceaeLeeaLeea guineensisShrub3EuphorbiaceaeAlchorneaAlchornea florinbundaShrub1OlacaceaeStrombosiaStrombosia pustulataTree1CommelinaceaePalisotaPalisota hirsutaHerb3PhyllanthaceaePhyllanthusPhyllanthus amarusHerb+ThymeleaceaeDicranolepisDicranolepis bucholziiFern1Fabaceae-PentaclethraPentaclethra macrophyllaTree+CaesalpinioideaeZingiberaceaeAframomumAframomum augustifoliumHerb+DavalliaceaeNephrolepisNephrolepis biserrataFern+LomariopsisdaceaeLomariopsisLomariopsis hederaceaFern+AnnonaceaeArtabotrysArtabotrys insignis var. batesiiShrub+SterculiaceaeLeptonychiaLeptonychia sp.Arbre+BalsaminaceaeImpatiensImpatiens niamniamensisHerb+Fabaceae-MimosoideaeCalpocalixCalpocalix brevibracteatusTree+DichapetalaceaeDichapetalumDichapetalum umbellatumLiana+RubiaceaeBertieraBertiera elabensisShrub+MeliaceaeGuareaGuarea glomerulataShrub+CecropiaceaeMusangaMusanga cecropioidesShrub+
description: Published as part of Oumarou-Ngoute, Charly, 2024, New records of Gemeneta opilionoides (Orthoptera, Catantopinae) in the world's second largest rainforest, pp. 274 in Zootaxa 5519 (2) on page 274, DOI: 10.11646/zootaxa.5519.2.6, http://zenodo.org/record/13915844
DOI: 10.60893/figshare.apl.27682878
title: Supplement Number 1,2,3

description: Table S1, Figure S1, Figure S2
DOI: 10.60893/figshare.apl.27682878.v1
title: Supplement Number 1,2,3

description: Table S1, Figure S1, Figure S2
DOI: 10.60893/figshare.apr.27601077
title: Supplementary Information File

description: Supplementary Information File
DOI: 10.60893/figshare.apr.27601077.v1
title: Supplementary Information File

description: Supplementary Information File
DOI: 10.60893/figshare.jap.27643992
title: Supplemental Material

description: The Information on the 100 GPa structures in the text and the XRD patterns calculated with VESTA using them.
DOI: 10.60893/figshare.jap.27643992.v1
title: Supplemental Material

description: The Information on the 100 GPa structures in the text and the XRD patterns calculated with VESTA using them.
DOI: 10.15468/dl.c8maab
title: Occurrence Download

description: A dataset containing 573 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Centre for Plant Medicine Research (CPMR) medicinal plants dataset"
 ]
}

 The dataset includes 573 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032236-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.jcp.27662364
title: POSCAR files

description: Unit cells of the predicted crystal structures (in VASP format)
DOI: 10.60893/figshare.jcp.27662364.v1
title: POSCAR files

description: Unit cells of the predicted crystal structures (in VASP format)
DOI: 10.60893/figshare.jcp.27662373
title: Supplement Number 1

description: Validation of the functional for the DFT calculations, low-energy structures of (B12)2 and (B36)2 calculated at the DFT-M062X/6-311+G* level, and Cartesian coordinates and energies of the (B12)n and (B36)n clusters.
DOI: 10.57967/hf/3619
title: cve-llm-training
DOI: 10.57967/hf/3624
title: cve-llm-training
DOI: 10.6084/m9.figshare.27314374
title: Modelling the cost differential between current and healthy diets according to household education level in Belgium

description: This study aims to estimate the cost differential between current and healthy diets, overall and by household education level. Data from the 2014–2015 <i>Belgian National Food Consumption Survey</i> and food prices from the 2014 <i>GfK ConsumerScan panel</i> were linked. The <i>DIETCOST programme</i> was used to model healthy, isocaloric healthy and current diets. For the reference household, the average daily diet cost was 20.1€ (95%CI: 19.9–20.4) for current diets, 20.9€ (95%CI: 20.6–21.2) for healthy isocaloric diets (+3.9% vs. the current diets) and 22.5€ (95%CI: 22.3–22.8) for healthy diets (+12.0%). In low-educated households, the cost of current and of healthy isocaloric diets was similar (19.2€ (95%CI: 19.0–19.5) vs. 19.3€ (95%CI: 19.0–19.6)), whereas in high-educated households, the cost of healthy isocaloric diets (22.0€; 95%CI: 21.8–22.3) was higher than the cost of current diets (21.2€; 95%CI: 20.9–21.4)). Though needing validation, this finding is valuable for interventions aimed at improving dietary habits in disadvantaged populations.
DOI: 10.6084/m9.figshare.27042985
title: Oat anthranilamides regulates high-fat diet-induced intestinal inflammation by the TLR4/NF-κb signalling pathway and gut microbiota

description: Oat anthranilamides have demonstrated antioxidant and anti-inflammatory effects; however, the precise mechanism of action remains unclear. This study investigated the impact of oat anthranilamide B (AVN B) on high-fat diet (HFD)-induced intestinal inflammation in mice and its underlying mechanisms. The results indicated that AVN B supplementation mitigated weight gain and reduced inflammatory and oxidative stress markers in serum, liver, and intestines. It improved intestinal barrier dysfunction by upregulating the expression levels of Occludin and MUC2 while simultaneously reducing intestinal inflammation by inhibiting the TLR4/NF-κB signalling pathway. Additionally, AVN B treatment improved gut microbiota composition. It increased the abundance of beneficial flora and the production of short-chain fatty acids (SCFAs), especially propionate and butyrate, associated with reduced production of pro-inflammatory factors and enhanced intestinal protection. The findings provide scientific evidence for the potential of AVN B as an anti-inflammatory agent. Oat AVN B reduces body weight gain and inflammation levels in HFD-fed miceAVN B protects the intestinal barrier and inhibits intestinal inflammationAVN B inhibits TLR4/NF-κB signalling pathway in the ileum of HFD-induced miceAVN B improves gut microbial imbalance in HFD-induced miceAVN B increases butyrate and propionic acid by promoting SCFA-producing bacteria Oat AVN B reduces body weight gain and inflammation levels in HFD-fed mice AVN B protects the intestinal barrier and inhibits intestinal inflammation AVN B inhibits TLR4/NF-κB signalling pathway in the ileum of HFD-induced mice AVN B improves gut microbial imbalance in HFD-induced mice AVN B increases butyrate and propionic acid by promoting SCFA-producing bacteria
DOI: 10.6084/m9.figshare.27042985.v1
title: Oat anthranilamides regulates high-fat diet-induced intestinal inflammation by the TLR4/NF-κb signalling pathway and gut microbiota

description: Oat anthranilamides have demonstrated antioxidant and anti-inflammatory effects; however, the precise mechanism of action remains unclear. This study investigated the impact of oat anthranilamide B (AVN B) on high-fat diet (HFD)-induced intestinal inflammation in mice and its underlying mechanisms. The results indicated that AVN B supplementation mitigated weight gain and reduced inflammatory and oxidative stress markers in serum, liver, and intestines. It improved intestinal barrier dysfunction by upregulating the expression levels of Occludin and MUC2 while simultaneously reducing intestinal inflammation by inhibiting the TLR4/NF-κB signalling pathway. Additionally, AVN B treatment improved gut microbiota composition. It increased the abundance of beneficial flora and the production of short-chain fatty acids (SCFAs), especially propionate and butyrate, associated with reduced production of pro-inflammatory factors and enhanced intestinal protection. The findings provide scientific evidence for the potential of AVN B as an anti-inflammatory agent. Oat AVN B reduces body weight gain and inflammation levels in HFD-fed miceAVN B protects the intestinal barrier and inhibits intestinal inflammationAVN B inhibits TLR4/NF-κB signalling pathway in the ileum of HFD-induced miceAVN B improves gut microbial imbalance in HFD-induced miceAVN B increases butyrate and propionic acid by promoting SCFA-producing bacteria Oat AVN B reduces body weight gain and inflammation levels in HFD-fed mice AVN B protects the intestinal barrier and inhibits intestinal inflammation AVN B inhibits TLR4/NF-κB signalling pathway in the ileum of HFD-induced mice AVN B improves gut microbial imbalance in HFD-induced mice AVN B increases butyrate and propionic acid by promoting SCFA-producing bacteria
DOI: 10.6084/m9.figshare.27049854.v1
title: Effects of dietary factors on hyperuricaemia and gout: a systematic review and meta-analysis of observational studies

description: This study aimed to gather the best evidence on the relationship between dietary factors and hyperuricaemia and gout. We searched databases including PubMed, Embase, Cochrane, and Web of Science from database creation to July 2023. Meta-analysis showed that consumption of alcohol (OR: 1.41, 95% CI: 1.29-1.55; 1.60, 95% CI: 1.33-1.93, respectively), red meat (OR:1.27, 95% CI: 1.18-1.37; 1.32, 95% CI: 1.18-1.47, respectively), fructose (OR: 1.29, 95% CI: 1.21-1.38; 1.65, 95% CI: 1.36-2.01, respectively) and seafoods (OR: 1.40, 95% CI: 1.20-1.64; 1.29, 95% CI: 1.00-1.67, respectively) were positively associated with the risk of hyperuricaemia and gout, while vegetables (OR: 0.78, 95% CI: 0.71-0.85; 0.96,95% CI 0.74-1.24, respectively) were inversely associated. Dairy products (OR: 0.69, 95% CI: 0.61-0.78) and nuts (OR: 0.75, 95% CI: 0.60-0.93) were also inversely associated with the risk of hyperuricaemia. Soy products (OR: 0.86, 95% CI: 0.75-0.98) and coffee (OR: 0.56, 95% CI: 0.39-0.81) were negatively associated with the risk of gout.
DOI: 10.6084/m9.figshare.27314374.v1
title: Modelling the cost differential between current and healthy diets according to household education level in Belgium

description: This study aims to estimate the cost differential between current and healthy diets, overall and by household education level. Data from the 2014–2015 <i>Belgian National Food Consumption Survey</i> and food prices from the 2014 <i>GfK ConsumerScan panel</i> were linked. The <i>DIETCOST programme</i> was used to model healthy, isocaloric healthy and current diets. For the reference household, the average daily diet cost was 20.1€ (95%CI: 19.9–20.4) for current diets, 20.9€ (95%CI: 20.6–21.2) for healthy isocaloric diets (+3.9% vs. the current diets) and 22.5€ (95%CI: 22.3–22.8) for healthy diets (+12.0%). In low-educated households, the cost of current and of healthy isocaloric diets was similar (19.2€ (95%CI: 19.0–19.5) vs. 19.3€ (95%CI: 19.0–19.6)), whereas in high-educated households, the cost of healthy isocaloric diets (22.0€; 95%CI: 21.8–22.3) was higher than the cost of current diets (21.2€; 95%CI: 20.9–21.4)). Though needing validation, this finding is valuable for interventions aimed at improving dietary habits in disadvantaged populations.
DOI: 10.6084/m9.figshare.27049854
title: Effects of dietary factors on hyperuricaemia and gout: a systematic review and meta-analysis of observational studies

description: This study aimed to gather the best evidence on the relationship between dietary factors and hyperuricaemia and gout. We searched databases including PubMed, Embase, Cochrane, and Web of Science from database creation to July 2023. Meta-analysis showed that consumption of alcohol (OR: 1.41, 95% CI: 1.29-1.55; 1.60, 95% CI: 1.33-1.93, respectively), red meat (OR:1.27, 95% CI: 1.18-1.37; 1.32, 95% CI: 1.18-1.47, respectively), fructose (OR: 1.29, 95% CI: 1.21-1.38; 1.65, 95% CI: 1.36-2.01, respectively) and seafoods (OR: 1.40, 95% CI: 1.20-1.64; 1.29, 95% CI: 1.00-1.67, respectively) were positively associated with the risk of hyperuricaemia and gout, while vegetables (OR: 0.78, 95% CI: 0.71-0.85; 0.96,95% CI 0.74-1.24, respectively) were inversely associated. Dairy products (OR: 0.69, 95% CI: 0.61-0.78) and nuts (OR: 0.75, 95% CI: 0.60-0.93) were also inversely associated with the risk of hyperuricaemia. Soy products (OR: 0.86, 95% CI: 0.75-0.98) and coffee (OR: 0.56, 95% CI: 0.39-0.81) were negatively associated with the risk of gout.
DOI: 10.34740/kaggle/dsv/10005223
title: Hadith Collections - Sahih Buhari
DOI: 10.15468/dl.regwhk
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Malawi",
 "Geometry POLYGON((35.58039 -15.01307,35.52833 -15.03769,35.52009 -15.06607,35.53199 -15.09628,35.54115 -15.12375,35.52558 -15.15671,35.52558 -15.1915,35.53474 -15.22445,35.50544 -15.29678,35.51826 -15.31875,35.52375 -15.35446,35.52741 -15.37918,35.54755 -15.38376,35.57227 -15.37002,35.59058 -15.39291,35.62061 -15.46039,35.65174 -15.45764,35.67005 -15.48053,35.69111 -15.50067,35.67738 -15.5318,35.67463 -15.56384,35.67921 -15.58307,35.7085 -15.58856,35.73689 -15.56109,35.76435 -15.54645,35.78999 -15.51623,35.82569 -15.51623,35.86048 -15.51532,35.87421 -15.4732,35.84034 -15.4201,35.8733 -15.39996,35.87428 -15.36555,35.85963 -15.32527,35.83582 -15.31153,35.82575 -15.28041,35.81568 -15.24745,35.79737 -15.22456,35.84132 -15.22181,35.8578 -15.20076,35.8523 -15.17604,35.86421 -15.15864,35.86604 -15.12385,35.87885 -15.06984,35.88801 -15.02955,35.8935 -14.99385,35.80287 -14.96089,35.72962 -14.9618,35.64906 -14.98011,35.58039 -15.01307))",
 "IucnRedListCategory is one of (EN, VU, NT, CR)",
 "OccurrenceStatus is Present",
 "Year 2012-2024"
 ]
}

 The dataset includes 5 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032246-241107131044228/datasets/export for details.
DOI: 10.57967/hf/3625
title: cve-llm-training
DOI: 10.15468/dl.r7j9fz
title: Occurrence Download

description: A dataset containing 222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 {
 "or" : [
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "Geometry POLYGON((-117.70441 32.57881,-114.73408 28.52392,-113.51273 29.21765,-114.3921 30.61487,-115.43758 32.83285,-117.70441 32.57881))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Brassica tournefortii Gouan"
 ]
}

 The dataset includes 222 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032249-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13932419
title: Sub Volume of Training Data to Train and Test 3DUnet

description: download test for colab
DOI: 10.5281/zenodo.13932420
title: Sub Volume of Training Data to Train and Test 3DUnet

description: download test for colab
DOI: 10.15468/dl.rv3a7u
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "OccurrenceStatus is Present",
 "TaxonKey is Prunus persica (L.) Stokes",
 "Year 2022-2024"
 ]
}

 The dataset includes 68 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032248-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jfcffb
title: Occurrence Download

description: A dataset containing 526919 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "OccurrenceStatus is Present",
 "Year 2022-2024"
 ]
}

 The dataset includes 526919 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032241-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tb2gzk
title: Occurrence Download

description: A dataset listing the 526919 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "OccurrenceStatus is Present",
 "Year 2022-2024"
 ]
}

 The dataset's 526919 records were derived from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032244-241107131044228/datasets/export for details.
DOI: 10.57967/hf/3626
title: cve-llm-training
DOI: 10.57967/hf/3627
title: cve-llm-training
DOI: 10.15468/dl.bbnggb
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (ff90b050-c256-11db-b71b-b8a03c50a862, ccd1ddc0-6c21-11de-8224-b8a03c50a862, 2b8e48b0-812d-11de-86fe-b8a03c50a862, 2e167bb0-4441-11db-9ba2-b8a03c50a862, 609765e0-4ce8-11db-b80e-b8a03c50a862, d003dd60-94fa-11da-a99f-b8a03c50a862, 7b8aff00-a9f8-11d8-944b-b8a03c50a862, ada9d123-ddb4-467d-8891-806ea8d94230, c76cf030-2a95-11da-9cc1-b8a03c50a862)",
 "TaxonKey is Agkistrodon taylori Burger & Robertson, 1951"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032252-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m45jgq
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agkistrodon taylori Burger & Robertson, 1951"
 ]
}

 The dataset includes 66 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032253-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14032089
title: LAYA
DOI: 10.5281/zenodo.14032090
title: LAYA
DOI: 10.5281/zenodo.14214077
title: LAYA
DOI: 10.5281/zenodo.14214069
title: Data from: Phenotypic antimicrobial resistance in Staphylococcus sp. and Enterococcus sp. isolated from surface water – a preliminary report

description: Water as a vehicle of antimicrobial resistance (AMR) is a well-known phenomenon. Therefore, One Health inspired surveillance campaign to detect circulation of antimicrobial resistance through the ecosystem are very often based on investigation of water samples. Bacteria belonging to the genera Staphylococcus and Enterococcus are good models in One Health research because of their ubiquitous occurrence and effortless isolation techniques. In this study, we aimed to compare different types of water sources as potential spreaders of AMR staphylococci and enterococci in the ecosystem. For this reason, we took water samples from the Drava River and small waterholes in a forest area. We hypothesised that rivers could collect diverse bacteria and resistance from the catchment area, while forest waterholes gather bacterial contamination from the local wildlife, thus a less diverse resistant bacterial community characterise them. From 22 and 10 water samples, collected from waterholes and the Drava River active floodplain, we isolated 21 and 13 bacterial strains, respectively. The bacterial community of the river proved more diverse, while waterhole samples contained resistant bacteria to more antimicrobials. In waterhole samples, we detected two methicillin resistant coagulase negative Staphylococcus strains. The most conspicuous difference between the two habitats was the predominance of multidrug resistant S. sciuri in the forest waterholes. We could conclude that water could be a good indicator of AMR contamination of the ecosystem, and large-scale sampling could reveal the exact epidemiological role of different water habitats.
DOI: 10.5281/zenodo.14214070
title: Data from: Phenotypic antimicrobial resistance in Staphylococcus sp. and Enterococcus sp. isolated from surface water – a preliminary report

description: Water as a vehicle of antimicrobial resistance (AMR) is a well-known phenomenon. Therefore, One Health inspired surveillance campaign to detect circulation of antimicrobial resistance through the ecosystem are very often based on investigation of water samples. Bacteria belonging to the genera Staphylococcus and Enterococcus are good models in One Health research because of their ubiquitous occurrence and effortless isolation techniques. In this study, we aimed to compare different types of water sources as potential spreaders of AMR staphylococci and enterococci in the ecosystem. For this reason, we took water samples from the Drava River and small waterholes in a forest area. We hypothesised that rivers could collect diverse bacteria and resistance from the catchment area, while forest waterholes gather bacterial contamination from the local wildlife, thus a less diverse resistant bacterial community characterise them. From 22 and 10 water samples, collected from waterholes and the Drava River active floodplain, we isolated 21 and 13 bacterial strains, respectively. The bacterial community of the river proved more diverse, while waterhole samples contained resistant bacteria to more antimicrobials. In waterhole samples, we detected two methicillin resistant coagulase negative Staphylococcus strains. The most conspicuous difference between the two habitats was the predominance of multidrug resistant S. sciuri in the forest waterholes. We could conclude that water could be a good indicator of AMR contamination of the ecosystem, and large-scale sampling could reveal the exact epidemiological role of different water habitats.
DOI: 10.5281/zenodo.14214084
title: Efficacy and Safety of Acupuncture in the Treatment of Secondary Neuralgia in Hunt Syndrome
DOI: 10.5281/zenodo.14214085
title: Efficacy and Safety of Acupuncture in the Treatment of Secondary Neuralgia in Hunt Syndrome
DOI: 10.15468/dl.rp8h7h
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Codonopsis convolvulacea subsp. vinciflora (Kom.) D.Y.Hong"
 ]
}

 The dataset includes 37 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032257-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebaxp6
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bangladesh",
 "OccurrenceStatus is Present",
 "TaxonKey is Python molurus (Linnaeus, 1758)"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032256-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.