cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/emzbqg
title: Ribbon seal (Histriophoca fasciata) location data from a satellite telemetry tag (ptt id 64469) deployed in the Bering Sea, Kara Sea, and the Sea Okhotsk from 2009-06-07 to 2011-05-26, deployment id 52d8556fa86a2315ac16874f

description: This is the OBIS extraction of Ribbon seal (Histriophoca fasciata) location data from a satellite telemetry tag (ptt id 64469) deployed in the Bering Sea, Kara Sea, and the Sea Okhotsk from 2009-06-07 to 2011-05-26, deployment id 52d8556fa86a2315ac16874f from the U.S. Animal Telemetry Network (ATN). This extraction is a subset of detections intended to be useful for the OBIS network. The source dataset, containing the full set of detections, is available at NCEI: https://www.ncei.noaa.gov/archive/accession/0305263. The entire collection of satellite telemetry location and profile data collected from satellite-linked tags deployed on marine animals and contributed by organizations that are part of the U.S. Animal Telemetry Network (ATN) can be found at: https://doi.org/10.25921/wp4e-ph20
DOI: 10.15468/dl.9m53ke
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acmella caulirhiza",
 "Country is Malawi",
 "HasCoordinate is true"
 ]
}

 The dataset includes 38 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033966-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uthqag
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material sample)",
 "TaxonKey is Polycera hedgpethi"
 ]
}

 The dataset's 3 records were derived from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033949-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.24062460
title: Additional file 2 of Whole-genome sequencing reveals adaptations of hairy-footed jerboas (Dipus, Dipodidae) to diverse desert environments

description: Additional file 2. The mitochondrial genome of 83 hairy-footed Jerboas.
DOI: 10.6084/m9.figshare.24062460.v1
title: Additional file 2 of Whole-genome sequencing reveals adaptations of hairy-footed jerboas (Dipus, Dipodidae) to diverse desert environments

description: Additional file 2. The mitochondrial genome of 83 hairy-footed Jerboas.
DOI: 10.6084/m9.figshare.24062487
title: Additional file 1 of A de novo mutation of ADAMTS8 in a patient with Wiedemann–Steiner syndrome

description: Additional file 1: Table S1. Candidate gene variations in our case.
DOI: 10.6084/m9.figshare.24062487.v1
title: Additional file 1 of A de novo mutation of ADAMTS8 in a patient with Wiedemann–Steiner syndrome

description: Additional file 1: Table S1. Candidate gene variations in our case.
DOI: 10.15468/dl.jyfrsu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.160642 -33.846969, 148.162888 -33.846969, 148.162888 -33.842477, 148.160642 -33.842477, 148.160642 -33.846969)), ((148.160642 -33.846969, 148.158397 -33.846969, 148.158397 -33.849214, 148.160642 -33.849214, 148.160642 -33.846969)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069794-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.24062403
title: Additional file 2 of The prevalence of vancomycin-resistant Staphylococcus aureus in Ethiopia: a systematic review and meta-analysis

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.24062403.v1
title: Additional file 2 of The prevalence of vancomycin-resistant Staphylococcus aureus in Ethiopia: a systematic review and meta-analysis

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.24070274
title: Additional file 1 of TRIM69: a marker of metastasis and potential sensitizer to 5-Fluorouracil and PD-1 blockers in colon adenocarcinoma

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.24070274.v1
title: Additional file 1 of TRIM69: a marker of metastasis and potential sensitizer to 5-Fluorouracil and PD-1 blockers in colon adenocarcinoma

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.24070263
title: Additional file 1 of Genomic analyses reveal a low-temperature adapted clade in Halorubrum, a widespread haloarchaeon across global hypersaline environments

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.24070263.v1
title: Additional file 1 of Genomic analyses reveal a low-temperature adapted clade in Halorubrum, a widespread haloarchaeon across global hypersaline environments

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.24070266
title: Additional file 2 of Genomic analyses reveal a low-temperature adapted clade in Halorubrum, a widespread haloarchaeon across global hypersaline environments

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.24070266.v1
title: Additional file 2 of Genomic analyses reveal a low-temperature adapted clade in Halorubrum, a widespread haloarchaeon across global hypersaline environments

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.24070269
title: Additional file 3 of Genomic analyses reveal a low-temperature adapted clade in Halorubrum, a widespread haloarchaeon across global hypersaline environments

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.24070269.v1
title: Additional file 3 of Genomic analyses reveal a low-temperature adapted clade in Halorubrum, a widespread haloarchaeon across global hypersaline environments

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.26629450
title: Additional file 5 of Tomo-seq identifies NINJ1 as a potential target for anti-inflammatory strategy in thoracic aortic dissection

description: Additional file 5. The ranked lists of 339 spatially upregulated genes (Z score &gt; 1 in ≥ 4 consecutive sections).
DOI: 10.6084/m9.figshare.24070310
title: Additional file 1 of Cost-effectiveness analysis of Smart Triage, a data-driven pediatric sepsis triage platform in Eastern Uganda

description: Additional file 1: Supplementary table 1. Program costs of Smart Triage in 2021 United States Dollars. Costs marked with * were originally incurred in 2021 Ugandan Shillings and were converted into USD by the average conversion rate in 2021 as per the World Bank (3587.075 Ugandan Shillings to 1 USD). Abbreviations: USD = United States Dollar, JRRH = Jinja Regional Referral Hospital.
DOI: 10.6084/m9.figshare.24070310.v1
title: Additional file 1 of Cost-effectiveness analysis of Smart Triage, a data-driven pediatric sepsis triage platform in Eastern Uganda

description: Additional file 1: Supplementary table 1. Program costs of Smart Triage in 2021 United States Dollars. Costs marked with * were originally incurred in 2021 Ugandan Shillings and were converted into USD by the average conversion rate in 2021 as per the World Bank (3587.075 Ugandan Shillings to 1 USD). Abbreviations: USD = United States Dollar, JRRH = Jinja Regional Referral Hospital.
DOI: 10.6084/m9.figshare.24070313
title: Additional file 2 of Cost-effectiveness analysis of Smart Triage, a data-driven pediatric sepsis triage platform in Eastern Uganda

description: Additional file 2: Supplementary table 2. Detailed Monte Carlo simulation results from societal, government, and patient perspectives. Costs in 2021 USD. Abbreviations: YLL averted = years of life lost averted, ICER = incremental cost effectiveness ratio, USD = United States dollars.
DOI: 10.6084/m9.figshare.24070313.v1
title: Additional file 2 of Cost-effectiveness analysis of Smart Triage, a data-driven pediatric sepsis triage platform in Eastern Uganda

description: Additional file 2: Supplementary table 2. Detailed Monte Carlo simulation results from societal, government, and patient perspectives. Costs in 2021 USD. Abbreviations: YLL averted = years of life lost averted, ICER = incremental cost effectiveness ratio, USD = United States dollars.
DOI: 10.6084/m9.figshare.24070316
title: Additional file 3 of Cost-effectiveness analysis of Smart Triage, a data-driven pediatric sepsis triage platform in Eastern Uganda

description: Additional file 3: Supplementary table 3. Details of Monte Carlo simulations for sensitivity analyses. Abbreviations: USD = United States dollars, YLL averted = years of life lost averted, ICER = incremental cost-effectiveness ratio.
DOI: 10.6084/m9.figshare.24070316.v1
title: Additional file 3 of Cost-effectiveness analysis of Smart Triage, a data-driven pediatric sepsis triage platform in Eastern Uganda

description: Additional file 3: Supplementary table 3. Details of Monte Carlo simulations for sensitivity analyses. Abbreviations: USD = United States dollars, YLL averted = years of life lost averted, ICER = incremental cost-effectiveness ratio.
DOI: 10.6084/m9.figshare.26737479
title: Additional file 1 of Causal associations between gut microbiota and chronic prostatitis/chronic pelvic pain syndrome: a two-sample Mendelian randomization study

description: Supplementary Materials 1 All results of MR analysis and sensitivity analysis between GM and CP/CPPS.
DOI: 10.6084/m9.figshare.24070110
title: Additional file 1 of Prediction of post-stroke cognitive impairment after acute ischemic stroke using machine learning

description: Additional file 1: Supplemental Fig. 1. The SHapley Additive exPlanations values of the machine learning models including ANN, SVM, and logistic regression for the prediction of PSCI using VASCOG criteria. Supplemental Fig. 2. Receiver Operating Characteristic curves for the developed machine learning models for the secondary outcomes (A) PSCI-MMSEz and (B) PSCI-MMSE. Supplemental Table 1. Input variables for machine learning model development. Supplemental Table 2. Comparison of machine learning model performance for the prediction of PSCI according to the VASCOG definition. Supplemental Table 3. Comparison of machine learning model performance for the prediction of secondary outcomes.
DOI: 10.6084/m9.figshare.24070110.v1
title: Additional file 1 of Prediction of post-stroke cognitive impairment after acute ischemic stroke using machine learning

description: Additional file 1: Supplemental Fig. 1. The SHapley Additive exPlanations values of the machine learning models including ANN, SVM, and logistic regression for the prediction of PSCI using VASCOG criteria. Supplemental Fig. 2. Receiver Operating Characteristic curves for the developed machine learning models for the secondary outcomes (A) PSCI-MMSEz and (B) PSCI-MMSE. Supplemental Table 1. Input variables for machine learning model development. Supplemental Table 2. Comparison of machine learning model performance for the prediction of PSCI according to the VASCOG definition. Supplemental Table 3. Comparison of machine learning model performance for the prediction of secondary outcomes.
DOI: 10.48677/4b793ec9-c64d-48bf-b6ad-f9643765fdad
title: Verwaltungsgrenzen (VGD) BEV Stichtag 01.04.2019

description: Die Verwaltungsgrenzen Stichtag BEV beinhalten die Grenzen der Verwaltungseinheiten Österreichs im Schnittstellenschema des BEV.

Die Daten sind für folgende Grenzen vorhanden: 
1) Katastralgemeindegrenze 
2) Gemeindegrenze 
3) Bezirksgrenze 
4) Gerichtsbezirksgrenze 
5) Vermessungssprengelgrenze 
6) Finanzamtsbereichsgrenze
7) Bundesländergrenze 
8) Staatsgrenze

Stichtag = Erstellungsdatum:
Die Daten sind zu diesem Tag der aktuellste Datenbestand des BEV.
Dies ist nicht ident mit dem Aufnahme- bzw. Vermessungsdatum.
DOI: 10.6084/m9.figshare.26627488
title: Additional file 2 of Nano-selenium enhances melon resistance to Podosphaera xanthii by enhancing the antioxidant capacity and promoting alterations in the polyamine, phenylpropanoid and hormone signaling pathways

description: Additional file 2: Table S1. UPLC-MS/MS conditions for the detection of JA, SA, IAA and polyamine. Table S2. Primers used for quantitative real time PCR of selected genes involved in secondary metabolism. Table S3. Effects of Nano-Se on stem weights of melon cultivars of with different resistances to powdery mildew. Table S4. Anatomical structural characteristics of melon leaves inoculated with P. xanthii (1 and 10 dpi) with or without Nano-Se pretreatment. Table S5. Statistics of the RNA-Seq data generated by the Illumina HiSeq Platform in the study. Table S6. Functional annotations on the genes against public database. Table S7. KEGG enrichment analysis of DEGs in the 0 S ck vs. 0 S Nano-Se. Table S8. KEGG enrichment analysis of DEGs in the 0 R ck vs. 0 R Nano-Se. Table S9. KEGG enrichment analysis of DEGs in the 0 S ck vs. 10 S ck. Table S10. KEGG enrichment analysis of DEGs in the 0 R ck vs. 10 R ck. Table S11. KEGG enrichment analysis of DEGs in the 10 S ck vs. 10 S Nano-Se. Table S12. KEGG enrichment analysis of DEGs in the 10 R ck vs. 10 R Nano-Se. Table S13. FPKM values of candidate DEGs involved in the secondary metabolism biosynthetic pathway during P. xanthii powdery mildew infection.
DOI: 10.48677/b1c9c1c7-7709-484c-8ad4-a6218ca00e1b
title: Verwaltungsgrenzen (VGD) BEV 1:50 000 Stichtag 01.04.2019

description: Die Verwaltungsgrenzen Stichtag BEV beinhalten die Grenzen der Verwaltungseinheiten Österreichs im Schnittstellenschema des BEV.

Die Daten sind für folgende Grenzen vorhanden: 
1) Katastralgemeindegrenze 
2) Gemeindegrenze 
3) Bezirksgrenze 
4) Gerichtsbezirksgrenze 
5) Vermessungssprengelgrenze 
6) Finanzamtsbereichsgrenze
7) Bundesländergrenze 
8) Staatsgrenze

Stichtag = Erstellungsdatum:
Die Daten sind zu diesem Tag der aktuellste Datenbestand des BEV.
Dies ist nicht ident mit dem Aufnahme- bzw. Vermessungsdatum.
DOI: 10.21227/440a-dp26
title: Four Public Datasets for Explainable Medical Image Classifications

description: Modern deep neural networks are overparameterized and thus require data augmentation techniques to prevent over-fitting and improve generalization ability. Generative adversarial networks (GANs) are famous for generating visually realistic images. However, the generated images lack diversity and have uncertain class labels. On the other hand, recent methods mix labels proportionally to the salient region. As the main diagnostic information is not always contained within the salient region, we argue that methods along this line can cause label mismatch issues in medical image classifications. Therefore, we propose VariMix, which exploits an absolute difference map (ADM) to address the label mismatching of mixed medical images. The VariMix generates ADM using the image-to-image (I2I) GAN across multiple classes and allows for bidirectional mixing operations between the training samples.  We collect four public medical image datasets for automatic medical image classifications: Breast Ultrasound datset, Chest X-Ray Images (CXR) dataset, Eye Disease Retinal Images (Retinal) dataset, Maternal-fetal ultrasound dataset. Extensive experiments prove the superiority of VariMix compared with the existing GAN-based and Mixupbased augmentation methods on four public datasets using Swin Transformer V2 and ConvNeXt architectures. Furthermore, by projecting the source image to the hyperplane of the support vector machine, the proposed I2I GAN can generate hyperplane difference maps (HDM) between the source image and the hyperplane image, demonstrating its ability to interpret medical image classifications.
DOI: 10.5285/1fbb7874-5433-3b07-e063-7086abc0bee9
title: Lowered Acoustic Doppler Current Profiler (LADCP) data from cruise JR18004 onboard RRS James Clark Ross, January-February 2019.

description: This is a dataset of lowered ADCP data from cruise JR18004 (11th January - 12th February 2019) onboard RRS James Clark Ross, using a pair of uplooker/downlooker units on the CTD rosette. The instruments used were both 300kHz Teledyne/RDI Workhorse Monitor LADCPs, run with zero blanking distance, 8 m bins and a staggered 1.3/1.5 ping rate. Profiles were collected alongside CTD data as part of the ORCHESTRA programme, to support work around Discovery Bank and Orkney Passage in the Scotia Sea of the Southern Ocean. The data were processed version IX 13 of the Matlab-based software LDEO developed by Martin Visbeck and maintained by Andreas Thurnherr at the Lamont-Doherty Earth Observatory.
DOI: 10.48677/56fe026e-3eeb-4c33-aa09-d84ea89dce4c
title: Verwaltungsgrenzen (VGD) BEV 1:250 000 Stichtag 01.04.2019

description: Die Verwaltungsgrenzen Stichtag BEV beinhalten die Grenzen der Verwaltungseinheiten Österreichs im Schnittstellenschema des BEV.

Die Daten sind für folgende Grenzen vorhanden: 
1) Katastralgemeindegrenze 
2) Gemeindegrenze 
3) Bezirksgrenze 
4) Gerichtsbezirksgrenze 
5) Vermessungssprengelgrenze 
6) Finanzamtsbereichsgrenze
7) Bundesländergrenze 
8) Staatsgrenze

Stichtag = Erstellungsdatum:
Die Daten sind zu diesem Tag der aktuellste Datenbestand des BEV.
Dies ist nicht ident mit dem Aufnahme- bzw. Vermessungsdatum.
DOI: 10.6084/m9.figshare.26627569.v1
title: Additional file 2 of Synergistic mechanism of Bacillus subtilis Czk1 combined with propiconazole and tebuconazole mixtures against Pyrrhoderma noxium

description: Additional file 2: Table S1. Changes in key metabolites in the CK-CG group (positive ion mode).
DOI: 10.15468/dl.gkfqrj
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((146.757018 -33.822265, 146.757018 -33.826756, 146.748035 -33.826756, 146.748035 -33.824511, 146.743543 -33.824511, 146.743543 -33.826756, 146.736806 -33.826756, 146.736806 -33.831248, 146.741298 -33.831248, 146.741298 -33.833494, 146.743543 -33.833494, 146.743543 -33.837985, 146.757018 -33.837985, 146.757018 -33.844723, 146.759264 -33.844723, 146.759264 -33.849214, 146.763756 -33.849214, 146.763756 -33.855952, 146.766001 -33.855952, 146.766001 -33.860443, 146.770493 -33.860443, 146.770493 -33.862689, 146.774984 -33.862689, 146.774984 -33.860443, 146.779476 -33.860443, 146.779476 -33.853706, 146.781722 -33.853706, 146.781722 -33.849214, 146.792951 -33.849214, 146.792951 -33.846969, 146.788459 -33.846969, 146.788459 -33.844723, 146.786213 -33.844723, 146.786213 -33.840231, 146.788459 -33.840231, 146.788459 -33.837985, 146.795197 -33.837985, 146.795197 -33.840231, 146.797442 -33.840231, 146.797442 -33.826756, 146.795197 -33.826756, 146.795197 -33.831248, 146.786213 -33.831248, 146.786213 -33.833494, 146.781722 -33.833494, 146.781722 -33.840231, 146.779476 -33.840231, 146.779476 -33.844723, 146.770493 -33.844723, 146.770493 -33.833494, 146.766001 -33.833494, 146.766001 -33.831248, 146.763756 -33.831248, 146.763756 -33.824511, 146.759264 -33.824511, 146.759264 -33.822265, 146.757018 -33.822265), (146.766001 -33.849214, 146.772739 -33.849214, 146.772739 -33.853706, 146.766001 -33.853706, 146.766001 -33.849214)), ((146.792951 -33.846969, 146.795197 -33.846969, 146.795197 -33.840231, 146.792951 -33.840231, 146.792951 -33.846969)))"
 ]
}

 The dataset includes 80 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069795-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48677/d388e8ed-0fb0-474b-9ae2-38986bc256aa
title: Verwaltungsgrenzen (VGD) INSPIRE Stichtag 01.04.2019

description: Die Verwaltungsgrenzen Stichtag beinhalten die Grenzen der Verwaltungseinheiten Österreichs entsprechend der INSPIRE Richtlinie harmonisiert. 

Die Daten sind für folgende Grenzen vorhanden: 
1) Katastralgemeindegrenze
2) Gemeindegrenze
3) Bezirksgrenze
4) Bundesländergrenze
5) Staatsgrenze

Stichtag = Erstellungsdatum:
Die Daten sind zu diesem Tag der aktuellste Datenbestand des BEV.
Dies ist nicht ident mit dem Aufnahme- bzw. Vermessungsdatum.
DOI: 10.6084/m9.figshare.24070281
title: Additional file 1 of Combined effect of microbially derived cecal SCFA and host genetics on feed efficiency in broiler chickens

description: Additional file 1: Table S1. Feed ingredients and nutrients composition for chickens during the experiment.
DOI: 10.6084/m9.figshare.24070281.v1
title: Additional file 1 of Combined effect of microbially derived cecal SCFA and host genetics on feed efficiency in broiler chickens

description: Additional file 1: Table S1. Feed ingredients and nutrients composition for chickens during the experiment.
DOI: 10.6084/m9.figshare.24070284
title: Additional file 2 of Combined effect of microbially derived cecal SCFA and host genetics on feed efficiency in broiler chickens

description: Additional file 2: Table S2. Descriptive statistics for phenotypes.
DOI: 10.6084/m9.figshare.24070284.v1
title: Additional file 2 of Combined effect of microbially derived cecal SCFA and host genetics on feed efficiency in broiler chickens

description: Additional file 2: Table S2. Descriptive statistics for phenotypes.
DOI: 10.6084/m9.figshare.24070320.v1
title: Additional file 13 of Combined effect of microbially derived cecal SCFA and host genetics on feed efficiency in broiler chickens

description: Additional file 13: Table S3. Detailed information on the SNPs associated with the SCFAs.
DOI: 10.15468/dl.vf7wcg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trichogramma dendrolimi (Matsumura, 1926), Trichogramma dendrolimi, Trichogramma dendrolimi, Trichogramma dendrolimi, Trichogramma dendrolimi Matsumura, 1926, Trichogramma dendrolimi Matsumura, 1926, Trichogramma dendrolimi Matsumura, 1926, Trichogramma dendrolimi Matsumura, 1926, Wolbachia endosymbiont of Trichogramma dendrolimi, Trichogramma dendrolimi Matsumura, 1926, Trichogramma dendrolimi Matsumura, 1926, Trichogramma dendrolimi Matsumura, 1926, Trichogramma dendrolimi (Matsumura, 1926), Trichogramma dendrolimi Matsumura, 1926, 161515115, 157852007, Trichogramma dendrolimi Matsumura, 1926, Trichogramma dendrolimi Matsumura, 1926, Wolbachia endosymbiont of Trichogramma dendrolimi, Ostrinia furnacalis (Guenée, 1854), Trichogramma pallida Meyer, 1940, Trichogramma dendrolimusi Matsumura, Trichogramma pallida Meyer, 1940, Trichogramma liliyingae Voegele & Pintureau, 1984, Trichogramma pallidum Meyer, 1940, Trichogramma dendrolini Matsumura, 1926, Trichogramma liliyingae Voegelé & Pintureau, 1984, Trichogramma dendrolimusi Matsumura, Trichogramma pallida Meyer, 1940, 161515118, 161515117, Trichogramma dendrolini Matsumura, 1926)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045040-231002084531237/datasets/export for details.
DOI: 10.15468/dl.3qscb2
title: Occurrence Download

description: A dataset containing 239446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Cupressaceae"
 ]
}

 The dataset includes 239446 records from 925 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034983-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.njdtt4
title: Occurrence Download

description: A dataset containing 2020 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Barringtonia acutangula (L.) Gaertn."
 ]
}

 The dataset includes 2020 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003467-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.