cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25378/janelia.24256132.v1
title: Manual organelle segmentations (crop240) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of Interphase COS-7 cell (jrc_cos7-1b)

description: <b>This acquisition is part of the CellMap 2024 Segmentation Challenge</b><b>Challenge DOI:</b> https://doi.org/10.25378/janelia.c.7456966<b>Challenge Website:</b> https://cellmapchallenge.janelia.org/<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_cos7-1b 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.<b>Annotation ID</b>: crop240<b>Primary Annotator</b>: Alyson Petruncio<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)<b>Software</b>: Amira 3D 2021.1, Classic Segmentation Workroom<b>Annotated voxel size (nm)</b>: 2 x 2 x 2 (x, y, z)<b>Annotated data dimensions (µm)</b>: 0.8 x 0.8 x 0.8 (x, y, z)<b>Annotated data offset (nm)</b>: 11480 x 5302 x 702 (x, y, z)<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<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_cos7-1b/jrc_cos7-1b.zarr/recon-1/labels/groundtruth/crop240<b>Source (EM) dataset ID</b>: jrc_cos7-1b<b>Source (EM) voxel size (nm)</b>: 2 x 2 x 2 (x, y, z)<b>Source (EM) data dimensions (µm)</b>: 40.69 x 9.05 x 2.23 (x, y, z)<b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.24944601<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_cos7-1b<b>Publication:</b> <i>CellMap Segmentation Challenge,</i> 2024.<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.<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: 10.25326/472
title: RALI-THINICE-2022_RASTA_WIND_L2

description: RASTA (part of the RALI platform) is a multiantenna W-band Doppler Cloud radar (95 GHz).  In this configuration, RASTA was operated with three antennas looking up (zenith, backward and transverse) and three looking down (nadir, backward and transverse).
 The radar was dedicated to the characterization of cloud and snow microphysics and dynamics. The radar reflectivity is range-corrected and calibrated, and the background noise is removed using a thresholding technique based on the background noise characteristics. Once the Doppler velocity is unfolded and corrected from aircraft’s motion and when backward, transverse and vertical antennas are simultaneously available, the vertical velocity, the along-track and cross-track wind components of the cloud/precipitation winds are retrieved. The combination of the six antennas allows us to retrieve the three components of the wind above and below the aircraft. The product comes with a target classification indicating the presence of different types of targets (hydrometeors, ground etc).
DOI: 10.25378/janelia.24256126
title: Manual organelle segmentations (crop238) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of Interphase COS-7 cell (jrc_cos7-1b)

description: <b>This acquisition is part of the CellMap 2024 Segmentation Challenge</b><b>Challenge DOI:</b> https://doi.org/10.25378/janelia.c.7456966<b>Challenge Website:</b> https://cellmapchallenge.janelia.org/<b>Annotation description</b>: Dense segmentations of nucleus, mitochondria in jrc_cos7-1b 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.<b>Annotation ID</b>: crop238<b>Primary Annotator</b>: Alyson Petruncio<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)<b>Software</b>: Amira 3D 2021.1, Classic Segmentation Workroom<b>Annotated voxel size (nm)</b>: 8 x 8 x 8 (x, y, z)<b>Annotated data dimensions (µm)</b>: 12.8 x 7.2 x 2.23 (x, y, z)<b>Annotated data offset (nm)</b>: 1603 x 803 x 3 (x, y, z)<b>Classes annotated</b>: nucleus, mitochondria<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_cos7-1b/jrc_cos7-1b.zarr/recon-1/labels/groundtruth/crop238<b>Source (EM) dataset ID</b>: jrc_cos7-1b<b>Source (EM) voxel size (nm)</b>: 2 x 2 x 2 (x, y, z)<b>Source (EM) data dimensions (µm)</b>: 40.69 x 9.05 x 2.23 (x, y, z)<b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.24944601<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_cos7-1b<b>Publication:</b> <i>CellMap Segmentation Challenge,</i> 2024.<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.<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.24256126.v1
title: Manual organelle segmentations (crop238) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of Interphase COS-7 cell (jrc_cos7-1b)

description: <b>This acquisition is part of the CellMap 2024 Segmentation Challenge</b><b>Challenge DOI:</b> https://doi.org/10.25378/janelia.c.7456966<b>Challenge Website:</b> https://cellmapchallenge.janelia.org/<b>Annotation description</b>: Dense segmentations of nucleus, mitochondria in jrc_cos7-1b 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.<b>Annotation ID</b>: crop238<b>Primary Annotator</b>: Alyson Petruncio<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)<b>Software</b>: Amira 3D 2021.1, Classic Segmentation Workroom<b>Annotated voxel size (nm)</b>: 8 x 8 x 8 (x, y, z)<b>Annotated data dimensions (µm)</b>: 12.8 x 7.2 x 2.23 (x, y, z)<b>Annotated data offset (nm)</b>: 1603 x 803 x 3 (x, y, z)<b>Classes annotated</b>: nucleus, mitochondria<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_cos7-1b/jrc_cos7-1b.zarr/recon-1/labels/groundtruth/crop238<b>Source (EM) dataset ID</b>: jrc_cos7-1b<b>Source (EM) voxel size (nm)</b>: 2 x 2 x 2 (x, y, z)<b>Source (EM) data dimensions (µm)</b>: 40.69 x 9.05 x 2.23 (x, y, z)<b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.24944601<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_cos7-1b<b>Publication:</b> <i>CellMap Segmentation Challenge,</i> 2024.<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.<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: 10.18112/openneuro.ds005737.v1.0.1
title: Open data of pseudo PRISM
DOI: 10.25378/janelia.24256117
title: Manual organelle segmentations (crop235) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of Interphase COS-7 cell (jrc_cos7-1b)

description: <b>This acquisition is part of the CellMap 2024 Segmentation Challenge</b><b>Challenge DOI:</b> https://doi.org/10.25378/janelia.c.7456966<b>Challenge Website:</b> https://cellmapchallenge.janelia.org/<b>Annotation description</b>: Dense segmentations of extracellular space, plasma membrane, 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_cos7-1b 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.<b>Annotation ID</b>: crop235<b>Primary Annotator</b>: Woohyun Park<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)<b>Software</b>: Amira 3D 2021.1, Classic Segmentation Workroom<b>Annotated voxel size (nm)</b>: 2 x 2 x 2 (x, y, z)<b>Annotated data dimensions (µm)</b>: 0.8 x 0.8 x 0.8 (x, y, z)<b>Annotated data offset (nm)</b>: 15904 x 6560 x 118 (x, y, z)<b>Classes annotated</b>: extracellular space, plasma membrane, 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<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_cos7-1b/jrc_cos7-1b.zarr/recon-1/labels/groundtruth/crop235<b>Source (EM) dataset ID</b>: jrc_cos7-1b<b>Source (EM) voxel size (nm)</b>: 2 x 2 x 2 (x, y, z)<b>Source (EM) data dimensions (µm)</b>: 40.69 x 9.05 x 2.23 (x, y, z)<b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.24944601<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_cos7-1b<b>Publication:</b> <i>CellMap Segmentation Challenge,</i> 2024.<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.<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.24256117.v1
title: Manual organelle segmentations (crop235) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of Interphase COS-7 cell (jrc_cos7-1b)

description: <b>This acquisition is part of the CellMap 2024 Segmentation Challenge</b><b>Challenge DOI:</b> https://doi.org/10.25378/janelia.c.7456966<b>Challenge Website:</b> https://cellmapchallenge.janelia.org/<b>Annotation description</b>: Dense segmentations of extracellular space, plasma membrane, 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_cos7-1b 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.<b>Annotation ID</b>: crop235<b>Primary Annotator</b>: Woohyun Park<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)<b>Software</b>: Amira 3D 2021.1, Classic Segmentation Workroom<b>Annotated voxel size (nm)</b>: 2 x 2 x 2 (x, y, z)<b>Annotated data dimensions (µm)</b>: 0.8 x 0.8 x 0.8 (x, y, z)<b>Annotated data offset (nm)</b>: 15904 x 6560 x 118 (x, y, z)<b>Classes annotated</b>: extracellular space, plasma membrane, 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<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_cos7-1b/jrc_cos7-1b.zarr/recon-1/labels/groundtruth/crop235<b>Source (EM) dataset ID</b>: jrc_cos7-1b<b>Source (EM) voxel size (nm)</b>: 2 x 2 x 2 (x, y, z)<b>Source (EM) data dimensions (µm)</b>: 40.69 x 9.05 x 2.23 (x, y, z)<b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.24944601<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_cos7-1b<b>Publication:</b> <i>CellMap Segmentation Challenge,</i> 2024.<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.<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.24247069
title: Manual organelle segmentations (crop130) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of killer T-cell attacking cancer cell (jrc_ctl-id8-1)

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 mitochondrial membrane, mitochondrial lumen, endosome membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, cytosol, endosome, mitochondria, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective in jrc_ctl-id8-1 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>: crop130<br><br><b>Primary Annotator</b>: Thomson Rymer, 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>: 0.8 x 0.8 x 0.8 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 39199 x 9999 x 20399 (x, y, z)<br><br><b>Classes annotated</b>: mitochondrial membrane, mitochondrial lumen, endosome membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, cytosol, endosome, mitochondria, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_ctl-id8-1/jrc_ctl-id8-1.zarr/recon-1/labels/groundtruth/crop130<br><br><b>Source (EM) dataset ID</b>: jrc_ctl-id8-1<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>: 74 x 12.8 x 47.99 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.13114454<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_ctl-id8-1<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.24247069.v1
title: Manual organelle segmentations (crop130) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of killer T-cell attacking cancer cell (jrc_ctl-id8-1)

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 mitochondrial membrane, mitochondrial lumen, endosome membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, cytosol, endosome, mitochondria, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective in jrc_ctl-id8-1 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>: crop130<br><br><b>Primary Annotator</b>: Thomson Rymer, 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>: 0.8 x 0.8 x 0.8 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 39199 x 9999 x 20399 (x, y, z)<br><br><b>Classes annotated</b>: mitochondrial membrane, mitochondrial lumen, endosome membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, cytosol, endosome, mitochondria, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_ctl-id8-1/jrc_ctl-id8-1.zarr/recon-1/labels/groundtruth/crop130<br><br><b>Source (EM) dataset ID</b>: jrc_ctl-id8-1<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>: 74 x 12.8 x 47.99 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.13114454<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_ctl-id8-1<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.24246760
title: Manual organelle segmentations (crop119) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of killer T-cell attacking cancer cell (jrc_ctl-id8-1)

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, endosome membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective in jrc_ctl-id8-1 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>: crop119<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>: 0.8 x 0.8 x 0.8 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 19087 x 3659 x 8835 (x, y, z)<br><br><b>Classes annotated</b>: extracellular space, plasma membrane, endosome membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_ctl-id8-1/jrc_ctl-id8-1.zarr/recon-1/labels/groundtruth/crop119<br><br><b>Source (EM) dataset ID</b>: jrc_ctl-id8-1<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>: 74 x 12.8 x 47.99 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.13114454<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_ctl-id8-1<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.