cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25378/janelia.24247306
title: Manual organelle segmentations (crop173) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of Drosophila ventral nerve cord (jrc_fly-vnc-1)

description: <b>This acquisition is part of the CellMap 2024 Segmentation Challenge</b><br><br>- <b>Challenge DOI:</b> https://doi.org/10.25378/janelia.c.7456966<br><br>- <b>Challenge Website:</b> https://cellmapchallenge.janelia.org/<br><br><b>Annotation description</b>: Dense segmentations of extracellular space, plasma membrane, mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, mitochondria, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective in jrc_fly-vnc-1 using Amira 3D 2021.1, Classic Segmentation Workroom and the 'Using Amira to manually segment organelles in vEM for machine learning V.3' annotation protocol.<br><br><b>Annotation ID</b>: crop173<br><br><b>Primary Annotator</b>: Alyson Petruncio<br><br><b>Annotation protocol</b>: Using Amira to manually segment organelles in vEM for machine learning V.3 (http://dx.doi.org/10.17504/protocols.io.bp2l61rb5vqe/v3)<br><br><b>Software</b>: Amira 3D 2021.1, Classic Segmentation Workroom<br><br><b>Annotated voxel size (nm)</b>: 2 x 2 x 2 (x, y, z)<br><br><b>Annotated data dimensions (µm)</b>: 1.2 x 1.2 x 0.8 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 14779 x 799 x 3599 (x, y, z)<br><br><b>Classes annotated</b>: extracellular space, plasma membrane, mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, mitochondria, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_fly-vnc-1/jrc_fly-vnc-1.zarr/recon-1/labels/groundtruth/crop173<br><br><b>Source (EM) dataset ID</b>: jrc_fly-vnc-1<br><br><b>Source (EM) voxel size (nm)</b>: 4 x 4 x 4 (x, y, z)<br><br><b>Source (EM) data dimensions (µm)</b>: 37.6 x 10 x 8 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.24944739<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_fly-vnc-1<br><br><b>Publication:</b> <i>CellMap Segmentation Challenge,</i> 2024.<br><br><b>The CellMap Project Team during this time consisted of:</b> David Ackerman, Davis Bennett, Marley Bryant, Hannah Nguyen, Grace Park, Alyson Petruncio, Alannah Post, Jacquelyn Price, Diana Ramirez, Jeff Rhoades, Rebecca Vorimo, Aubrey Weigel, Marwan Zouinkhi, Yurii Zubov.<br><br><b>The CellMap Project Team Steering Committee during this time consisted of:</b> Misha Ahrens, Christopher Beck, Teng-Leong Chew, Daniel Feliciano, Jan Funke, Harald Hess, Wyatt Korff, Jennifer Lippincott-Schwartz, Zhe J. Liu, Kayvon Pedram, Stephan Preibisch, Stephan Saalfeld, Ronald Vale, and Aubrey Weigel.
DOI: 10.25378/janelia.24247306.v1
title: Manual organelle segmentations (crop173) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of Drosophila ventral nerve cord (jrc_fly-vnc-1)

description: <b>This acquisition is part of the CellMap 2024 Segmentation Challenge</b><br><br>- <b>Challenge DOI:</b> https://doi.org/10.25378/janelia.c.7456966<br><br>- <b>Challenge Website:</b> https://cellmapchallenge.janelia.org/<br><br><b>Annotation description</b>: Dense segmentations of extracellular space, plasma membrane, mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, mitochondria, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective in jrc_fly-vnc-1 using Amira 3D 2021.1, Classic Segmentation Workroom and the 'Using Amira to manually segment organelles in vEM for machine learning V.3' annotation protocol.<br><br><b>Annotation ID</b>: crop173<br><br><b>Primary Annotator</b>: Alyson Petruncio<br><br><b>Annotation protocol</b>: Using Amira to manually segment organelles in vEM for machine learning V.3 (http://dx.doi.org/10.17504/protocols.io.bp2l61rb5vqe/v3)<br><br><b>Software</b>: Amira 3D 2021.1, Classic Segmentation Workroom<br><br><b>Annotated voxel size (nm)</b>: 2 x 2 x 2 (x, y, z)<br><br><b>Annotated data dimensions (µm)</b>: 1.2 x 1.2 x 0.8 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 14779 x 799 x 3599 (x, y, z)<br><br><b>Classes annotated</b>: extracellular space, plasma membrane, mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, mitochondria, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_fly-vnc-1/jrc_fly-vnc-1.zarr/recon-1/labels/groundtruth/crop173<br><br><b>Source (EM) dataset ID</b>: jrc_fly-vnc-1<br><br><b>Source (EM) voxel size (nm)</b>: 4 x 4 x 4 (x, y, z)<br><br><b>Source (EM) data dimensions (µm)</b>: 37.6 x 10 x 8 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.24944739<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_fly-vnc-1<br><br><b>Publication:</b> <i>CellMap Segmentation Challenge,</i> 2024.<br><br><b>The CellMap Project Team during this time consisted of:</b> David Ackerman, Davis Bennett, Marley Bryant, Hannah Nguyen, Grace Park, Alyson Petruncio, Alannah Post, Jacquelyn Price, Diana Ramirez, Jeff Rhoades, Rebecca Vorimo, Aubrey Weigel, Marwan Zouinkhi, Yurii Zubov.<br><br><b>The CellMap Project Team Steering Committee during this time consisted of:</b> Misha Ahrens, Christopher Beck, Teng-Leong Chew, Daniel Feliciano, Jan Funke, Harald Hess, Wyatt Korff, Jennifer Lippincott-Schwartz, Zhe J. Liu, Kayvon Pedram, Stephan Preibisch, Stephan Saalfeld, Ronald Vale, and Aubrey Weigel.
DOI: 10.25378/janelia.24255766
title: Manual organelle segmentations (crop185) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of Drosophila ventral nerve cord (jrc_fly-vnc-1)

description: <b>This acquisition is part of the CellMap 2024 Segmentation Challenge</b><br><br>- <b>Challenge DOI:</b> https://doi.org/10.25378/janelia.c.7456966<br><br>- <b>Challenge Website:</b> https://cellmapchallenge.janelia.org/<br><br><b>Annotation description</b>: Dense segmentations of extracellular space, plasma membrane, mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, mitochondria, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective in jrc_fly-vnc-1 using Amira 3D 2021.1, Classic Segmentation Workroom and the 'Using Amira to manually segment organelles in vEM for machine learning V.3' annotation protocol.<br><br><b>Annotation ID</b>: crop185<br><br><b>Primary Annotator</b>: Woohyun Park<br><br><b>Annotation protocol</b>: Using Amira to manually segment organelles in vEM for machine learning V.3 (http://dx.doi.org/10.17504/protocols.io.bp2l61rb5vqe/v3)<br><br><b>Software</b>: Amira 3D 2021.1, Classic Segmentation Workroom<br><br><b>Annotated voxel size (nm)</b>: 2 x 2 x 2 (x, y, z)<br><br><b>Annotated data dimensions (µm)</b>: 1.2 x 1.2 x 0.8 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 14779 x 799 x 3599 (x, y, z)<br><br><b>Classes annotated</b>: extracellular space, plasma membrane, mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, mitochondria, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_fly-vnc-1/jrc_fly-vnc-1.zarr/recon-1/labels/groundtruth/crop185<br><br><b>Source (EM) dataset ID</b>: jrc_fly-vnc-1<br><br><b>Source (EM) voxel size (nm)</b>: 4 x 4 x 4 (x, y, z)<br><br><b>Source (EM) data dimensions (µm)</b>: 37.6 x 10 x 8 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.24944739<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_fly-vnc-1<br><br><b>Publication:</b> <i>CellMap Segmentation Challenge,</i> 2024.<br><br><b>The CellMap Project Team during this time consisted of:</b> David Ackerman, Davis Bennett, Marley Bryant, Hannah Nguyen, Grace Park, Alyson Petruncio, Alannah Post, Jacquelyn Price, Diana Ramirez, Jeff Rhoades, Rebecca Vorimo, Aubrey Weigel, Marwan Zouinkhi, Yurii Zubov.<br><br><b>The CellMap Project Team Steering Committee during this time consisted of:</b> Misha Ahrens, Christopher Beck, Teng-Leong Chew, Daniel Feliciano, Jan Funke, Harald Hess, Wyatt Korff, Jennifer Lippincott-Schwartz, Zhe J. Liu, Kayvon Pedram, Stephan Preibisch, Stephan Saalfeld, Ronald Vale, and Aubrey Weigel.
DOI: 10.25378/janelia.24255766.v1
title: Manual organelle segmentations (crop185) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of Drosophila ventral nerve cord (jrc_fly-vnc-1)

description: <b>This acquisition is part of the CellMap 2024 Segmentation Challenge</b><br><br>- <b>Challenge DOI:</b> https://doi.org/10.25378/janelia.c.7456966<br><br>- <b>Challenge Website:</b> https://cellmapchallenge.janelia.org/<br><br><b>Annotation description</b>: Dense segmentations of extracellular space, plasma membrane, mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, mitochondria, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective in jrc_fly-vnc-1 using Amira 3D 2021.1, Classic Segmentation Workroom and the 'Using Amira to manually segment organelles in vEM for machine learning V.3' annotation protocol.<br><br><b>Annotation ID</b>: crop185<br><br><b>Primary Annotator</b>: Woohyun Park<br><br><b>Annotation protocol</b>: Using Amira to manually segment organelles in vEM for machine learning V.3 (http://dx.doi.org/10.17504/protocols.io.bp2l61rb5vqe/v3)<br><br><b>Software</b>: Amira 3D 2021.1, Classic Segmentation Workroom<br><br><b>Annotated voxel size (nm)</b>: 2 x 2 x 2 (x, y, z)<br><br><b>Annotated data dimensions (µm)</b>: 1.2 x 1.2 x 0.8 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 14779 x 799 x 3599 (x, y, z)<br><br><b>Classes annotated</b>: extracellular space, plasma membrane, mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, mitochondria, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_fly-vnc-1/jrc_fly-vnc-1.zarr/recon-1/labels/groundtruth/crop185<br><br><b>Source (EM) dataset ID</b>: jrc_fly-vnc-1<br><br><b>Source (EM) voxel size (nm)</b>: 4 x 4 x 4 (x, y, z)<br><br><b>Source (EM) data dimensions (µm)</b>: 37.6 x 10 x 8 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.24944739<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_fly-vnc-1<br><br><b>Publication:</b> <i>CellMap Segmentation Challenge,</i> 2024.<br><br><b>The CellMap Project Team during this time consisted of:</b> David Ackerman, Davis Bennett, Marley Bryant, Hannah Nguyen, Grace Park, Alyson Petruncio, Alannah Post, Jacquelyn Price, Diana Ramirez, Jeff Rhoades, Rebecca Vorimo, Aubrey Weigel, Marwan Zouinkhi, Yurii Zubov.<br><br><b>The CellMap Project Team Steering Committee during this time consisted of:</b> Misha Ahrens, Christopher Beck, Teng-Leong Chew, Daniel Feliciano, Jan Funke, Harald Hess, Wyatt Korff, Jennifer Lippincott-Schwartz, Zhe J. Liu, Kayvon Pedram, Stephan Preibisch, Stephan Saalfeld, Ronald Vale, and Aubrey Weigel.
DOI: 10.15468/dl.gqeam5
title: Occurrence Download

description: A dataset containing 597973 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rumex crispus L."
 ]
}

 The dataset includes 597973 records from 3552 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042199-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vxdje6
title: Occurrence Download

description: A dataset containing 351 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Country is Suriname",
 "IucnRedListCategory is one of (CR, EN, VU)",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia",
 "Year 2000-2022"
 ]
}

 The dataset includes 351 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061497-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6e5jk5
title: Occurrence Download

description: A dataset containing 304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fragum fragum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 304 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061494-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b2f6ms
title: Occurrence Download

description: A dataset containing 11075 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dermestes lardarius"
 ]
}

 The dataset includes 11075 records from 269 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061495-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rrsjil
title: Occurrence Download

description: A dataset containing 1612 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Sceloporus variabilis variabilis",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1612 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024871-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tjfjy9
title: Occurrence Download

description: A dataset containing 100789 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The mammals collection (ZM) of the Muséum national d'Histoire naturelle (MNHN - Paris)"
 ]
}

 The dataset includes 100789 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0209637-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n4pxtx
title: Occurrence Download

description: A dataset containing 1141 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tirumala hamata (MacLeay, 1826)"
 ]
}

 The dataset includes 1141 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024873-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z8motp
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scleria fulvipilosa E.A.Rob."
 ]
}

 The dataset includes 15 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040196-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.i5n4fw
title: Occurrence Download

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parantica melaneus (Cramer)"
 ]
}

 The dataset includes 200 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024874-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zgjuww
title: Occurrence Download

description: A dataset containing 90330 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vincetoxicum hirundinaria Medik."
 ]
}

 The dataset includes 90330 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0211878-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wucoyk
title: Occurrence Download

description: A dataset containing 219860 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Pedicularis L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 219860 records from 469 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024874-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ag66s3
title: Occurrence Download

description: A dataset containing 7994 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leucanthemopsis alpina subsp. alpina"
 ]
}

 The dataset includes 7994 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0211883-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7qrmxh
title: Occurrence Download

description: A dataset containing 6589 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mozambique",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 6589 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024875-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g2fjgs
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cuscuta acutiloba Engelm."
 ]
}

 The dataset includes 17 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0205946-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a9kxgr
title: Occurrence Download

description: A dataset containing 257 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parantica aglea (Stoll, 1782)"
 ]
}

 The dataset includes 257 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024875-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.84nxr2
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America)",
 "BasisOfRecord is one of (Specimen)",
 "Year is greater than or equal to 1900",
 "TaxonKey is Lissachatina fulica (Bowdich, 1822)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010530-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.smle4j
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Luma apiculata (DC.) Burret",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 193 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024876-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fn77u2
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America)",
 "BasisOfRecord is one of (Specimen)",
 "Year is greater than or equal to 1900",
 "TaxonKey is Lissachatina fulica (Bowdich, 1822)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010529-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.taeln1
title: Occurrence Download

description: A dataset containing 585 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gardenia aqualla Stapf & Hutch."
 ]
}

 The dataset includes 585 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024877-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tzeq0r
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Lapageria rosea Ruiz & Pav.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 48 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024878-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yhbrrz
title: Occurrence Download

description: A dataset containing 597 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agrostis thurberiana Hitchc."
 ]
}

 The dataset includes 597 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0209631-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r2jypt
title: Occurrence Download

description: A dataset containing 1112 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bulnesia Gay"
 ]
}

 The dataset includes 1112 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001153-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.