cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/84739d9bc5d8554d4bc7c3d77db11be4
title: North Temperate Lakes LTER: Fish Species Richness 1981 - current

description: This data set is a derived data set based on fish catch data. Data are collected annually to enable us to track the fish assemblages of eleven primary lakes (Allequash, Big Muskellunge, Crystal, Sparkling, Trout, bog lakes 27-02 [Crystal Bog] and 12-15 [Trout Bog], Mendota, Monona, Wingra and Fish). Sampling on Lakes Monona, Wingra, and Fish started in 1995; sampling on other lakes started in 1981. Sampling is done at six littoral zone sites per lake with seine, minnow or crayfish traps, and fyke nets; a boat-mounted electrofishing system samples three littoral transects. Vertically hung gill nets are used to obtain two pelagic samples per lake from the deepest point. A trammel net samples across the thermocline at two sites per lake. In the bog lakes only fyke nets and minnow traps are deployed. Parameters measured include species-level identification and lengths for all fish caught, and weight and scale samples from a subset. Derived data sets include species richness, catch per unit effort, and size distribution by species, lake, and year. Species richness for a lake is the number of fish species caught in that lake during the annual fish sampling. Hybrids captured are only included in the richness value if neither of the two hybridized species are caught in the lake that year. Fish identified only to genus or higher taxonomic level are not included if any fish identified to species within that genus or higher taxonomic level are caught. E.g., Unidentified Chub would be only included in the richness value if no other chub is caught in that lake that year. Sampling Frequency: annually. Number of sites: 11 Note that 2020 data does not exist due to insufficient sampling. In 2021, sampling in Fish Lake was suspended due to significant lake level changes.
DOI: 10.6084/m9.figshare.17215958.v1
title: Surface roughness

description: The surface roughness parameter obtained from untreated Ti and AgNO3 treated Ti under hydrothermal
DOI: 10.5281/zenodo.5856456
title: Preliminary US dolines dataset

description: This is a preliminary US dolines dataset. https://dolines.org/
DOI: 10.5281/zenodo.5856455
title: Preliminary US dolines dataset

description: This is a preliminary US dolines dataset. https://dolines.org/
DOI: 10.34740/kaggle/dsv/3050870
title: Printed Digits Dataset
DOI: 10.6084/m9.figshare.18515129
title: L-FMFRP repeated loading

description: Repeated loading of FM_FRP samples
DOI: 10.6084/m9.figshare.18515129.v1
title: L-FMFRP repeated loading

description: Repeated loading of FM_FRP samples
DOI: 10.6084/m9.figshare.18094157
title: Data and codes used in the paper Dynamic Off-Fault Failure and Tsunamigenesis at Strike-Slip Restraining Bends

description: 'bend0_h100m_R200km.msh' is the finite-element mesh for the planar fault case.<br>'bend30_h100m_R200km.msh' is the finite-element mesh for the 30° fault bend case.<br>'bend45_h100m_R200km.msh' is the finite-element mesh for the 45° fault bend case.<br>Each input shell is named as bend{bend angle}RS_{psi}_h100m_{CF<sub>plane</sub>}to{CF<sub>bend</sub>}.shell. For example, 'bend30RS_20_h100m_070to095.shell' is for a 30° bend, psi=20°, CF<sub>plane</sub>=0.70, and CF<sub>bend</sub>=0.95. These parameters are described in the paper.<br>'bend3Dcos.f90' is the source code for the fault bend models.<br>'plane3D.f90' is the source code for the planar fault models.<br>'plot_snapshots.m' is a matlab code to plot rupture snapshots, as in Figure 3.<br>'plot_5slips.m' is a Matlab code to plot the 5 slip distributions and rupture time contours, for example, Figure 4.<br>'plot_5Uzs.m' is a Matlab code to plot the 5 surface displacements, for example, Figure 5.<br>'plot_plastic.m' is a Matlab code to plot the distribution of inelastic strain.<br>
DOI: 10.6084/m9.figshare.18094157.v2
title: Data and codes used in the paper Dynamic Off-Fault Failure and Tsunamigenesis at Strike-Slip Restraining Bends

description: 'bend0_h100m_R200km.msh' is the finite-element mesh for the planar fault case.<br>'bend30_h100m_R200km.msh' is the finite-element mesh for the 30° fault bend case.<br>'bend45_h100m_R200km.msh' is the finite-element mesh for the 45° fault bend case.<br>Each input shell is named as bend{bend angle}RS_{psi}_h100m_{CF<sub>plane</sub>}to{CF<sub>bend</sub>}.shell. For example, 'bend30RS_20_h100m_070to095.shell' is for a 30° bend, psi=20°, CF<sub>plane</sub>=0.70, and CF<sub>bend</sub>=0.95. These parameters are described in the paper.<br>'bend3Dcos.f90' is the source code for the fault bend models.<br>'plane3D.f90' is the source code for the planar fault models.<br>'plot_snapshots.m' is a matlab code to plot rupture snapshots, as in Figure 3.<br>'plot_5slips.m' is a Matlab code to plot the 5 slip distributions and rupture time contours, for example, Figure 4.<br>'plot_5Uzs.m' is a Matlab code to plot the 5 surface displacements, for example, Figure 5.<br>'plot_plastic.m' is a Matlab code to plot the distribution of inelastic strain.<br>
DOI: 10.6084/m9.figshare.18094157.v1
title: Data and codes used in the paper Dynamic Off-Fault Failure and Tsunamigenesis at Strike-Slip Restraining Bends, submitted to Journal of Geophysical Research, Solid Earth

description: 'bend0_h100m_R200km.msh' is the finite-element mesh for the planar fault case.<br>'bend30_h100m_R200km.msh' is the finite-element mesh for the 30° fault bend case.<br>'bend45_h100m_R200km.msh' is the finite-element mesh for the 45° fault bend case.<br>Each input shell is named as bend{bend angle}RS_{psi}_h100m_{CF<sub>plane</sub>}to{CF<sub>bend</sub>}.shell. For example, 'bend30RS_20_h100m_070to095.shell' is for a 30° bend, psi=20°, CF<sub>plane</sub>=0.70, and CF<sub>bend</sub>=0.95. These parameters are described in the paper.<br>'bend3Dcos.f90' is the source code for the fault bend models.<br>'plane3D.f90' is the source code for the planar fault models.<br>'plot_snapshots.m' is a matlab code to plot rupture snapshots, as in Figure 3.<br>'plot_5slips.m' is a Matlab code to plot the 5 slip distributions and rupture time contours, for example, Figure 4.<br>'plot_5Uzs.m' is a Matlab code to plot the 5 surface displacements, for example, Figure 5.<br>'plot_plastic.m' is a Matlab code to plot the distribution of inelastic strain.<br>
DOI: 10.5281/zenodo.5856474
title: Dati estratti da "Epidemia COVID-19", bollettino dell'Istituto Superiore di Sanità (ISS)

description: “EPIDEMIA COVID-19” è un bollettino prodotto dall’Istituto Superiore di Sanità (ISS) che riporta i dati della sorveglianza integrata concernente l’infezione da virus SARS-CoV-2. Si legge nella nota introduttiva che “Il conteggio dei casi viene effettuato sommando tutti i casi di infezione da virus SARS-CoV2 confermati tramite test molecolari e antigenici, e segnalati al sistema di sorveglianza attraverso una piattaforma web dedicata. Il database nazionale è quindi la somma dei casi presenti nei 21 sistemi informativi regionali/PPAA costruiti ad hoc per la sorveglianza COVID-19”. Seguono altre delucidazioni. Si riportano le tabelle estratte dai rapporti, concernenti casistica su persone di età ≥ 12 anni, ricoveri e vittime. Le tabelle indicano anche lo stato vaccinale e la fascia d’età. Si presti attenzione che le classi relative alla vaccinazione sono state ridefinite a seconda dei Decreti Legge del Governo.
DOI: 10.6084/m9.figshare.18515120
title: ABMDR2000025

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515120.v1
title: ABMDR2000025

description: HLA sequencing data
DOI: 10.6084/m9.figshare.16682401
title: Tabela de categorização dos trabalhos acadêmicos sobre Coronelismo Eletrônico no quadriênio 2017-2020

description: Tabela de categorização dos trabalhos acadêmicos sobre o conceito de Coronelismo Eletrônico produzidos no quadriênio 2017-2020 - Artigo 'Mapeamento do Coronelismo Eletrônico: Um estado da arte do conceito no quadriênio 2017-2020'
DOI: 10.5281/zenodo.5856454
title: Dati estratti da "Epidemia COVID-19", bollettino dell'Istituto Superiore di Sanità (ISS)

description: “EPIDEMIA COVID-19” è un bollettino prodotto dall’Istituto Superiore di Sanità (ISS) che riporta i dati della sorveglianza integrata concernente l’infezione da virus SARS-CoV-2. Si legge nella nota introduttiva che “Il conteggio dei casi viene effettuato sommando tutti i casi di infezione da virus SARS-CoV2 confermati tramite test molecolari e antigenici, e segnalati al sistema di sorveglianza attraverso una piattaforma web dedicata. Il database nazionale è quindi la somma dei casi presenti nei 21 sistemi informativi regionali/PPAA costruiti ad hoc per la sorveglianza COVID-19”. Seguono altre delucidazioni. Si riportano le tabelle estratte dai rapporti, concernenti casistica su persone di età ≥ 12 anni, ricoveri e vittime. Le tabelle indicano anche lo stato vaccinale e la fascia d’età. Si presti attenzione che le classi relative alla vaccinazione sono state ridefinite a seconda dei Decreti Legge del Governo.
DOI: 10.6084/m9.figshare.18515135
title: ABMDR2000026

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515135.v1
title: ABMDR2000026

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515144
title: ABMDR2000028

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515144.v1
title: ABMDR2000028

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515138
title: ABMDR2000027

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515138.v1
title: ABMDR2000027

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515147
title: ABMDR2000029

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515147.v1
title: ABMDR2000029

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515150
title: ABMDR2000030

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515150.v1
title: ABMDR2000030

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515153
title: ABMDR2000031

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515153.v1
title: ABMDR2000031

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515156
title: ABMDR2000032

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515156.v1
title: ABMDR2000032

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515159
title: ABMDR2000033

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515159.v1
title: ABMDR2000033

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515162
title: ABMDR2000034

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515162.v1
title: ABMDR2000034

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18461612
title: Protein accession numbers

description: Accession numbers of protein sequences used for alignments and phylogenetic analysis of BoCCD1s and BoCCD4s proteins<br>
DOI: 10.6084/m9.figshare.18461612.v1
title: RAW DATA_sequences.fasta

description: Accession numbers of protein sequences used for alignments and phylogenetic analysis of BoCCD1s and BoCCD4s proteins<br>
DOI: 10.6084/m9.figshare.18515165
title: ABMDR2000035

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515165.v1
title: ABMDR2000035

description: HLA sequencing data
DOI: 10.34740/kaggle/dsv/3050944
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.6084/m9.figshare.18515171
title: ABMDR2000037

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515171.v1
title: ABMDR2000037

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515168
title: ABMDR2000038

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515168.v2
title: ABMDR2000038

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515168.v1
title: ABMDR2000036

description: HLA sequencing data
DOI: 10.5281/zenodo.4947072
title: Dataset Cursos AprendeINTEF

description: Matriz de datos con los Cursos ofrecidos en la plataforma AprendeIntef desde el 2017 a 2020.
DOI: 10.5281/zenodo.4449144
title: Dataset Cursos AprendeINTEF

description: Matriz de datos con los Cursos ofrecidos en la plataforma AprendeIntef desde el 2017 a 2020.
DOI: 10.34740/kaggle/dsv/3050970
title: ECB speeches etc. 1997 to 2022-01-02
DOI: 10.6084/m9.figshare.18515183
title: ABMDR2000040

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515183.v1
title: ABMDR2000040

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515180
title: ABMDR2000039

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515180.v1
title: ABMDR2000039

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515192
title: ABMDR2000041

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515192.v1
title: ABMDR2000041

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515195
title: ABMDR2000042

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515195.v1
title: ABMDR2000042

description: HLA sequencing data
DOI: 10.21227/y72d-1v14
title: Bridgeless PFC - Interleaved Boost Converter with Switching Frequency Modulation (IBC-SFM)

description: The switching cell with switching frequency modulation (SC-SFM) has several benefits with respect to power conversion. Some of the most important features are those present in the boost variation, denominated as interleaved boost converter with switching frequency modulation (IBC-SFM). The converter conciliates some CCM characteristics, such as, continual conduction in the input inductor and limited current effort in the active components, with characteristics of some DCM converters, such as, resistive behavior for the input, soft-switching and no reverse recovery for the diodes. The IBC-SFM in the totem-pole configuration for power factor correction (PFC) is presented through a simulation file in this Dataset, operating with open-loop control.
DOI: 10.6084/m9.figshare.18515204
title: ABMDR2000043

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515204.v1
title: ABMDR2000043

description: HLA sequencing data
DOI: 10.5281/zenodo.5856923
title: Tableland areas inventory across the Chinese Loess Plateau (2018)

description: A high-quality inventory of tableland areas (2018) across the Loess Plateau was provided. To generate this plateau-scale inventory, an object-based approach for large-scale tableland areas mapping was proposed by integrating Sentinel-2 imagery and AW3D30 DEM topographic information. The automatic mapping approach behaves in a good performance, with the overall accuracies over 90% in all the four investigated subregions. After the strict quality control by manual inspection, the final product was generated, demonstrating that the tableland areas occupied 9507.31 km<sup>2</sup> across the Loess Plateau.
DOI: 10.6084/m9.figshare.18515207
title: ABMDR2000044

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515210
title: ABMDR2000045

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515210.v1
title: ABMDR2000045

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515213
title: ABMDR2000046

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515213.v1
title: ABMDR2000046

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515219
title: ABMDR2000047

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515219.v1
title: ABMDR2000047

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515222
title: ABMDR2000048

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515222.v1
title: ABMDR2000048

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515225
title: ABMDR2000049

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515225.v1
title: ABMDR2000049

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515228
title: ABMDR2000050

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515228.v1
title: ABMDR2000050

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515216
title: data_20220116.sav

description: Research data for studying the impact of AI on manufacturer resilience and performance<br>
DOI: 10.6084/m9.figshare.18515216.v1
title: data_20220116.sav

description: Research data for studying the impact of AI on manufacturer resilience and performance<br>
DOI: 10.6084/m9.figshare.18515231.v1
title: ABMDR2000051

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515231
title: ABMDR2000051

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515234.v1
title: ABMDR2000052

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515234
title: ABMDR2000052

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515240
title: ABMDR2000054

description: HLA sequencing data
DOI: 10.6084/m9.figshare.18515240.v1
title: ABMDR2000054

description: HLA sequencing data
DOI: 10.15468/dl.pyd78r
title: Occurrence Download

description: A dataset containing 1124 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Système d'Information sur la Nature et les Paysages d'Ile de France - Données du/de la naturaliste Delon Esteban provenant de la base de donnée du SINP Île-de-France CETTIA"
 ]
}

 The dataset includes 1124 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0232250-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z6ou20
title: Occurrence Download

description: A dataset containing 5148 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de Reptiles - Museo de Herpetología de la Universidad de Antioquia"
 ]
}

 The dataset includes 5148 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000823-150216165555722/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t27guh
title: Occurrence Download

description: A dataset containing 58952 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sciaenops ocellatus (Linnaeus, 1766))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 58952 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052101-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qdwrid
title: Occurrence Download

description: A dataset containing 787 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Megadontomys cryophilus (Musser, 1964)"
 ]
}

 The dataset includes 787 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007992-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.47s6e6
title: Occurrence Download

description: A dataset containing 818 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-2020.0",
 "Country is Canada",
 "Geometry POLYGON((-85.56152 41.2207,-74.24561 41.17676,-74.59717 50.27344,-85.91309 50.18555,-85.56152 41.2207))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Strix varia Barton, 1799"
 ]
}

 The dataset includes 818 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0313006-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q9ds6j
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Equus kiang Moorcroft, 1841"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0232287-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rcdhfo
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptopecten camerella (S.S.Berry, 1968)"
 ]
}

 The dataset includes 12 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000823-150304104939900/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nbpxmu
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Issue is Coordinate rounded",
 "Issue is Geodetic datum assumed WGS84"
 ]
 },
 "Month is January",
 "TaxonKey is Lasiurus blossevillii (Lesson & Garnot, 1826)"
 ]
}

 The dataset includes 71 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007992-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s8juvp
title: Occurrence Download

description: A dataset containing 14202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((4.975 52.375,5.025 52.375,5.025 52.425,4.975 52.425,4.975 52.375))",
 "DatasetKey is Observation.org, Nature data from around the World",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 14202 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0305617-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4zak36
title: Occurrence Download

description: A dataset containing 1186 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Système d'Information sur la Nature et les Paysages d'Ile de France - Données de la naturaliste Lucile Ferriot"
 ]
}

 The dataset includes 1186 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0232261-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wj59bk
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Living Specimen"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pteropus melanopogon Peters, 1867",
 "Year 1950-2021"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039304-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fumt6o
title: Occurrence Download

description: A dataset containing 24700 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "TaxonKey is Sturnella loyca (Molina, 1782)"
 ]
}

 The dataset includes 24700 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007992-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q96afb
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphrasia papuana Schltr."
 ]
}

 The dataset includes 22 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048013-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.