cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0200477.10fu
title: SH0200477.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0200478.10fu
title: SH0200478.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.14878378
title: СОВЕРШЕНСТВОВАНИЕ МЕТОДИКИ ИСПОЛЬЗОВАНИЯ ИНФОРМАЦИОННЫХ ТЕХНОЛОГИЙ В САМОСТОЯТЕЛЬНОМ ОБУЧЕНИИ ЖИВОПИСИ В ВЫСШИХ УЧЕБНЫХ ЗАВЕДЕНИЯХ
DOI: 10.5281/zenodo.14878379
title: СОВЕРШЕНСТВОВАНИЕ МЕТОДИКИ ИСПОЛЬЗОВАНИЯ ИНФОРМАЦИОННЫХ ТЕХНОЛОГИЙ В САМОСТОЯТЕЛЬНОМ ОБУЧЕНИИ ЖИВОПИСИ В ВЫСШИХ УЧЕБНЫХ ЗАВЕДЕНИЯХ
DOI: 10.5281/zenodo.14878372
title: CODES Dataset: simple_ode

description: Toy dataset for the CODES benchmark (https://github.com/robin-janssen/CODES-Benchmark).

Five-species coupled ODE system. The system features some soft non-linear effects and does not conserve abundances.

The following system of equations describes the dynamics:



# Rate constants

k1, k2, k3, k4 = 0.7, 0.3, 0.4, 0.2

k5, k6 = 0.25, 0.15

influx = 0.1


# Interaction terms

rate1 = k1 * s1 * (1 - s1) # Logistic-like self-regulation

rate2 = k2 * s2 * s3 # Simple interaction between s2 and s3

rate3 = k3 * s4 * (1 - 0.1 * s4) # Mild quadratic feedback for saturation

rate4 = k4 * s5 * s2 # Interaction between s5 and s2

rate5 = k3 * s4


# Loss terms

decay1 = k5 * s1

decay2 = k6 * s3


# Derivatives

ds1_dt = influx + rate1 - decay1 # s1 has an external source and self-regulation

ds2_dt = rate2 - 0.5 * s2 # s2 grows via interaction with s3 and has linear damping

ds3_dt = -rate2 + rate5 - decay2 # s3 is consumed by s2 but replenished by s4

ds4_dt = rate3 - 0.1 * s4 # Simple growth and decay for stability

ds5_dt = rate4 - 0.2 * s5 # Simple linear decay

 


101 timesteps in the interval [0, 10], solved with scipy.integrate.solve_ivp with the DOP853 method (atol = rtol = 1e-8).

Initial conditions for each species sobol-sampled in the interval (0.1, 10). 

 

700/100/200 train/test/val samples.
DOI: 10.5281/zenodo.14878373
title: CODES Dataset: simple_ode

description: Toy dataset for the CODES benchmark (https://github.com/robin-janssen/CODES-Benchmark).

Five-species coupled ODE system. The system features some soft non-linear effects and does not conserve abundances.

The following system of equations describes the dynamics:



# Rate constants

k1, k2, k3, k4 = 0.7, 0.3, 0.4, 0.2

k5, k6 = 0.25, 0.15

influx = 0.1


# Interaction terms

rate1 = k1 * s1 * (1 - s1) # Logistic-like self-regulation

rate2 = k2 * s2 * s3 # Simple interaction between s2 and s3

rate3 = k3 * s4 * (1 - 0.1 * s4) # Mild quadratic feedback for saturation

rate4 = k4 * s5 * s2 # Interaction between s5 and s2

rate5 = k3 * s4


# Loss terms

decay1 = k5 * s1

decay2 = k6 * s3


# Derivatives

ds1_dt = influx + rate1 - decay1 # s1 has an external source and self-regulation

ds2_dt = rate2 - 0.5 * s2 # s2 grows via interaction with s3 and has linear damping

ds3_dt = -rate2 + rate5 - decay2 # s3 is consumed by s2 but replenished by s4

ds4_dt = rate3 - 0.1 * s4 # Simple growth and decay for stability

ds5_dt = rate4 - 0.2 * s5 # Simple linear decay

 


101 timesteps in the interval [0, 10], solved with scipy.integrate.solve_ivp with the DOP853 method (atol = rtol = 1e-8).

Initial conditions for each species sobol-sampled in the interval (0.1, 10). 

 

700/100/200 train/test/val samples.
DOI: 10.60656/f0fcfc6087054751
title: Custom collection of radar data from Leipzig on 7 Feb 2025
DOI: 10.5281/zenodo.14878392
title: OPTIMIZATION OF ENGINEERING VISUALIZATION USING ADVANCED GRAPHIC METHODS
DOI: 10.5281/zenodo.14878393
title: OPTIMIZATION OF ENGINEERING VISUALIZATION USING ADVANCED GRAPHIC METHODS
DOI: 10.15468/dl.q86645
title: Occurrence Download

description: A dataset containing 2025 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euleptes europaea (Gené, 1839)"
 ]
}

 The dataset includes 2025 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001829-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/5c9a41c239ae49ba
title: Custom collection of radar data from Leipzig on 6 Feb 2025
DOI: 10.60656/e4c05e06ade44d05
title: Custom collection of radar data from Leipzig on 5 Feb 2025
DOI: 10.60656/11ba283b88014392
title: Custom collection of radar data from Leipzig on 31 Jan 2025
DOI: 10.5281/zenodo.14878396
title: INTELLIGENT MONITORING OF ELECTRICAL NETWORK MODES
DOI: 10.5281/zenodo.14878397
title: INTELLIGENT MONITORING OF ELECTRICAL NETWORK MODES
DOI: 10.15468/dl.zt9te9
title: Occurrence Download

description: A dataset containing 340333 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Spain",
 "GadmGid is ESP.8_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 340333 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001827-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mpsq6n
title: Occurrence Download

description: A dataset containing 7026 species occurrences available in GBIF matching the query:
{
 "and" : [
 "RecordedBy is one of (Gandoger, Michel, GANDOGER, GANDOGER (CBNFC-ORI) (CBNFC-ORI), GANDOGER (Non connu) (Non connu), GANDOGER M., GANDOGER Michel, GANDOGER Michel (CBNC), GANDOGER Michel (Conservatoire botanique national , GANDOGER Michel (Inconnu), GANDOGER Michel (Observateur Origine Bordereau 06), GANDOGER Michel, Jean, GANDOGER Michel, Jean (Aucun), GANDOGER, MA 76559, * 3, Gandoger, Gandoger (Non connu), Gandoger Ded. Ch. Duffour, Gandoger (Non connu), Gandoger (indépendant), Gandoger Jean Michel, Gandoger M, Gandoger M., Gandoger M. in O. Debeaux in F. Crépin, Gandoger M; Gandoger M, Gandoger M; Herb Alleizette AC d', Gandoger Michel, Gandoger Michel (inconnu), Gandoger s.n. [s.d.], Gandoger,, Gandoger, A., Gandoger, A.M., Gandoger, M, Gandoger, M., Gandoger, M. (Coll. A. Schmidely 1913), Gandoger, M. (Coll. Barbey-Boissier), Gandoger, M. (Coll. Boissier), Gandoger, M. (Coll. De Candolle 1921), Gandoger, M. (Coll. De Candolle), Gandoger, M. (Coll. Delessert 1910), Gandoger, M. (Coll. Delessert), Gandoger, M. (Coll. G), Gandoger, M. (Coll. G, Delessert 1907), Gandoger, M. (Coll. G, Delessert 1910), M Gandoger, M.GANDOGER, M.Gandoger, M.Gandoger;,Gandoger, M. GANDOGER, M. GANDOGER Société Botanique de France, M. Gandoger, M. Gandoger & M. Gandoger, M. Gandoger, Flora Gallica exsiccata, M. Gandoger., M. Gandoger; Alger, M. Gandoger;,Gandoger, Michel Gandoger, Michel Gandoger; M. Grandeger)",
 "Year 1000-1900"
 ]
}

 The dataset includes 7026 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001833-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.stgk39
title: Occurrence Download

description: A dataset containing 846258 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Oceania",
 "Country is Australia",
 "OccurrenceStatus is Present",
 "TaxonKey is Ascomycota",
 "Year 1970-2025"
 ]
}

 The dataset includes 846258 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001828-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cdb5rw
title: Occurrence Download

description: A dataset containing 20044 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cenchrus setaceus (Forssk.) Morrone"
 ]
}

 The dataset includes 20044 records from 297 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001834-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c5uy9t
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-13.11161 34.95441,-18.47844 27.45211,-2.62191 25.70689,2.25702 33.13535,0.0615 36.34198,-6.769 34.15076,-13.11161 34.95441))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is August",
 "TaxonKey is Geronticus eremita (Linnaeus, 1758)"
 ]
}

 The dataset includes 32 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001835-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mrfz3g
title: Occurrence Download

description: A dataset containing 1933 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oryx leucoryx (Pallas, 1777)"
 ]
}

 The dataset includes 1933 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001836-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gzhkfr
title: Occurrence Download

description: A dataset containing 337983 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((89 31,103 31,103 39,89 39,89 31))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 337983 records from 321 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001832-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14878423
title: BREAST CANCER IN MEN
DOI: 10.5281/zenodo.14878424
title: BREAST CANCER IN MEN
DOI: 10.5281/zenodo.14878398
title: Blood- and brain-based EWAS of smoking

description: DNA methylation offers an objective method to assess the impact of smoking. In this work, we conduct a Bayesian EWAS of smoking pack years (n=17,865, ~850k sites, Illumina EPIC array) and extend it by analysing whole genome data of smokers and non-smokers from Generation Scotland (n=46, ~4–21 million sites via TWIST and Oxford Nanopore sequencing). We develop mCigarette, an epigenetic biomarker of smoking, and test it in three British cohorts. Results of brain- and blood-based EWAS (nbrain=14, nblood=882, >450k sites, Illumina arrays) reveal several loci with near-perfect discrimination of smoking status, but which do not overlap across tissues. Furthermore, we perform a GWAS of epigenetic smoking, identifying several smoking-related loci. Overall, we improve smoking-related biomarker accuracy and enhance the understanding of the effects of smoking by integrating DNA methylation data from multiple tissues and cohorts.

This dataset contains summary statistics from GWAS and EWAS experiments.
DOI: 10.5281/zenodo.14878399
title: Blood- and brain-based EWAS of smoking

description: DNA methylation offers an objective method to assess the impact of smoking. In this work, we conduct a Bayesian EWAS of smoking pack years (n=17,865, ~850k sites, Illumina EPIC array) and extend it by analysing whole genome data of smokers and non-smokers from Generation Scotland (n=46, ~4–21 million sites via TWIST and Oxford Nanopore sequencing). We develop mCigarette, an epigenetic biomarker of smoking, and test it in three British cohorts. Results of brain- and blood-based EWAS (nbrain=14, nblood=882, >450k sites, Illumina arrays) reveal several loci with near-perfect discrimination of smoking status, but which do not overlap across tissues. Furthermore, we perform a GWAS of epigenetic smoking, identifying several smoking-related loci. Overall, we improve smoking-related biomarker accuracy and enhance the understanding of the effects of smoking by integrating DNA methylation data from multiple tissues and cohorts.

This dataset contains summary statistics from GWAS and EWAS experiments.
DOI: 10.15468/dl.v47nyt
title: Occurrence Download

description: A dataset containing 13206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is DEU.10_1",
 "TaxonKey is one of (Bombina bombina (Linnaeus, 1761), Alytes obstetricans (Laurenti, 1768), Bombinator variegata (Linnaeus, 1758), Bufo calamita Laurenti, 1768, Bufo viridis Laurenti, 1768, Hyla arborea (Linnaeus, 1758), Pelobates fuscus (Laurenti, 1768), Rana arvalis Nilsson, 1842, Rana dalmatina Fitzinger, 1838, Rana lessonae Camerano, 1882, Rana esculenta Linnaeus, 1758, Rana ridibunda Pallas, 1771, Rana temporaria Linnaeus, 1758, Triturus carnifex (Laurenti, 1768), Triturus cristatus (Laurenti, 1768))",
 "Year 2000-2024"
 ]
}

 The dataset includes 13206 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001838-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2n7rf5
title: Occurrence Download

description: A dataset containing 15260 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Aconitum L."
 ]
}

 The dataset includes 15260 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001839-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sgbmah
title: Occurrence Download

description: A dataset containing 3811 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Camellia sinensis (L.) Kuntze"
 ]
}

 The dataset includes 3811 records from 198 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001840-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fkusah
title: Occurrence Download

description: A dataset containing 57221 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is imr_mareano_grab"
 ]
}

 The dataset includes 57221 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001841-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10764009
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.15468/dl.8aj8aa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Kwoniella shandongensis R.Chen, Yuan M.Jiang & S.C.Wei ex M.Groenew. & Q.M.Wang"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001842-250214102907787/datasets/export for details.
DOI: 10.6084/m9.figshare.28425212
title: Sampling reduced density matrix to extract fine levels of entanglement spectrum and restore entanglement Hamiltonian

description: The reduced density matrix (RDM) plays a key role in quantum entanglement and measurement, as it allows the extraction of almost all physical quantities related to the reduced degrees of freedom. However, restricted by the degrees of freedom in the environment, the total system size is often limited, let alone the subsystem. To address this challenge, we propose a quantum Monte Carlo scheme with a low technical barrier, enabling precise extraction of the RDM. To demonstrate the power of the method, we present the fine levels of the entanglement spectrum (ES), which is the logarithmic eigenvalues of the RDM. We clearly show the ES for a $1$D ladder with a long entangled boundary, and that for the $2$D Heisenberg model with a tower of states. Furthermore, we put forward an efficient way to restore the entanglement Hamiltonian in operator-form from the sampled RDM data. Our simulation results, utilizing unprecedentedly large system sizes, establish a practical computational framework for determining entanglement quantities based on the RDM, such as the ES, particularly in scenarios where the environment has a huge number of degrees of freedom.
DOI: 10.15468/dl.e6brr6
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Colletotrichum aenigma B.S.Weir & P.R.Johnst."
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001843-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ny49r2
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Dictyostelium purpureum Olive, 1901"
 ]
}

 The dataset includes 52 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001844-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4hyguw
title: Occurrence Download

description: A dataset containing 15260 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Aconitum L."
 ]
}

 The dataset includes 15260 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001845-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ynfgrj
title: Occurrence Download

description: A dataset containing 15260 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Aconitum L."
 ]
}

 The dataset includes 15260 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001849-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qh5jbg
title: Occurrence Download

description: A dataset containing 57221 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is imr_mareano_grab"
 ]
}

 The dataset includes 57221 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001848-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4qe6wp
title: Occurrence Download

description: A dataset containing 73263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (France, China)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aconitum L."
 ]
}

 The dataset includes 73263 records from 528 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001847-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8agfks
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium scrobiculatum Vved."
 ]
}

 The dataset includes 7 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0179921-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ks1giu
title: Occurrence Download

description: A dataset containing 285 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-61.56601 15.18348,-61.17874 15.18348,-61.17874 15.65213,-61.56601 15.65213,-61.56601 15.18348))",
 "TaxonKey is Polypodiales",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 285 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012952-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ov4vvj
title: Occurrence Download

description: A dataset containing 282 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhagoletis pomonella (Walsh, 1867)"
 ]
}

 The dataset includes 282 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015424-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fesumv
title: Occurrence Download

description: A dataset containing 781 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eunectes murinus (Linnaeus, 1758))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 781 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058916-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.