cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25378/janelia.24238801
title: Manual organelle segmentations (crop8) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of interphase HeLa cell (jrc_hela-2)

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 vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum exit site lumen, endoplasmic reticulum exit site membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, endoplasmic reticulum exit site, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective in jrc_hela-2 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>: crop8<br><br><b>Primary Annotator</b>: COSEM Project Team<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>: 0.8 x 0.8 x 0.4 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 13539 x 1119 x 4995 (x, y, z)<br><br><b>Classes annotated</b>: vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum exit site lumen, endoplasmic reticulum exit site membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, endoplasmic reticulum exit site, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_hela-2/jrc_hela-2.zarr/recon-1/labels/groundtruth/crop8<br><br><b>Source (EM) dataset ID</b>: jrc_hela-2<br><br><b>Source (EM) voxel size (nm)</b>: 4 x 4 x 5.2 (x, y, z)<br><br><b>Source (EM) data dimensions (µm)</b>: 48 x 6.4 x 33.11 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.13114211<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_hela-2<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.24238801.v1
title: Manual organelle segmentations (crop8) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of interphase HeLa cell (jrc_hela-2)

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 vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum exit site lumen, endoplasmic reticulum exit site membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, endoplasmic reticulum exit site, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective in jrc_hela-2 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>: crop8<br><br><b>Primary Annotator</b>: COSEM Project Team<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>: 0.8 x 0.8 x 0.4 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 13539 x 1119 x 4995 (x, y, z)<br><br><b>Classes annotated</b>: vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum exit site lumen, endoplasmic reticulum exit site membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, endoplasmic reticulum exit site, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_hela-2/jrc_hela-2.zarr/recon-1/labels/groundtruth/crop8<br><br><b>Source (EM) dataset ID</b>: jrc_hela-2<br><br><b>Source (EM) voxel size (nm)</b>: 4 x 4 x 5.2 (x, y, z)<br><br><b>Source (EM) data dimensions (µm)</b>: 48 x 6.4 x 33.11 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.13114211<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_hela-2<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.nxevwj
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rumex crispus Cham. & Schltdl."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042201-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.szqfyb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rumex crispus Lour."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042202-241126133413365/datasets/export for details.
DOI: 10.25378/janelia.24238819
title: Manual organelle segmentations (crop14) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of interphase HeLa cell (jrc_hela-2)

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 vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum exit site lumen, endoplasmic reticulum exit site membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, endoplasmic reticulum exit site, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective in jrc_hela-2 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>: crop15<br><br><b>Primary Annotator</b>: COSEM Project Team<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>: 0.6 x 0.6 x 0.26 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 24519 x 1779 x 17639 (x, y, z)<br><br><b>Classes annotated</b>: vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum exit site lumen, endoplasmic reticulum exit site membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, endoplasmic reticulum exit site, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_hela-2/jrc_hela-2.zarr/recon-1/labels/groundtruth/crop14<br><br><b>Source (EM) dataset ID</b>: jrc_hela-2<br><br><b>Source (EM) voxel size (nm)</b>: 4 x 4 x 5.2 (x, y, z)<br><br><b>Source (EM) data dimensions (µm)</b>: 48 x 6.4 x 33.11 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.13114211<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_hela-2<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.24238819.v1
title: Manual organelle segmentations (crop14) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of interphase HeLa cell (jrc_hela-2)

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 vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum exit site lumen, endoplasmic reticulum exit site membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, endoplasmic reticulum exit site, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective in jrc_hela-2 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>: crop15<br><br><b>Primary Annotator</b>: COSEM Project Team<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>: 0.6 x 0.6 x 0.26 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 24519 x 1779 x 17639 (x, y, z)<br><br><b>Classes annotated</b>: vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum exit site lumen, endoplasmic reticulum exit site membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, endoplasmic reticulum exit site, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_hela-2/jrc_hela-2.zarr/recon-1/labels/groundtruth/crop14<br><br><b>Source (EM) dataset ID</b>: jrc_hela-2<br><br><b>Source (EM) voxel size (nm)</b>: 4 x 4 x 5.2 (x, y, z)<br><br><b>Source (EM) data dimensions (µm)</b>: 48 x 6.4 x 33.11 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.13114211<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_hela-2<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.24238822
title: Manual organelle segmentations (crop15) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of interphase HeLa cell (jrc_hela-2)

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 vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum exit site lumen, endoplasmic reticulum exit site membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, endoplasmic reticulum exit site, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective in jrc_hela-2 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>: crop15<br><br><b>Primary Annotator</b>: COSEM Project Team<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>: 0.6 x 0.6 x 0.26 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 24519 x 1779 x 17639 (x, y, z)<br><br><b>Classes annotated</b>: vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum exit site lumen, endoplasmic reticulum exit site membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, endoplasmic reticulum exit site, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_hela-2/jrc_hela-2.zarr/recon-1/labels/groundtruth/crop15<br><br><b>Source (EM) dataset ID</b>: jrc_hela-2<br><br><b>Source (EM) voxel size (nm)</b>: 4 x 4 x 5.2 (x, y, z)<br><br><b>Source (EM) data dimensions (µm)</b>: 48 x 6.4 x 33.11 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.13114211<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_hela-2<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.24238822.v1
title: Manual organelle segmentations (crop15) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of interphase HeLa cell (jrc_hela-2)

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 vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum exit site lumen, endoplasmic reticulum exit site membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, endoplasmic reticulum exit site, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective in jrc_hela-2 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>: crop15<br><br><b>Primary Annotator</b>: COSEM Project Team<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>: 0.6 x 0.6 x 0.26 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 24519 x 1779 x 17639 (x, y, z)<br><br><b>Classes annotated</b>: vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum exit site lumen, endoplasmic reticulum exit site membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, endoplasmic reticulum exit site, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_hela-2/jrc_hela-2.zarr/recon-1/labels/groundtruth/crop15<br><br><b>Source (EM) dataset ID</b>: jrc_hela-2<br><br><b>Source (EM) voxel size (nm)</b>: 4 x 4 x 5.2 (x, y, z)<br><br><b>Source (EM) data dimensions (µm)</b>: 48 x 6.4 x 33.11 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.13114211<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_hela-2<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.24238834
title: Manual organelle segmentations (crop18) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of interphase HeLa cell (jrc_hela-2)

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 vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective in jrc_hela-2 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>: crop18<br><br><b>Primary Annotator</b>: COSEM Project Team<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>: 0.8 x 0.8 x 0.44 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 7639 x 799 x 14919 (x, y, z)<br><br><b>Classes annotated</b>: vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_hela-2/jrc_hela-2.zarr/recon-1/labels/groundtruth/crop18<br><br><b>Source (EM) dataset ID</b>: jrc_hela-2<br><br><b>Source (EM) voxel size (nm)</b>: 4 x 4 x 5.2 (x, y, z)<br><br><b>Source (EM) data dimensions (µm)</b>: 48 x 6.4 x 33.11 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.13114211<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_hela-2<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.