cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25378/janelia.24256156
title: Manual organelle segmentations (crop245) 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, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, microtubule out, microtubule in, cytosol, 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>: crop245<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 0.49 (x, y, z)<b>Annotated data offset (nm)</b>: 12466 x 5902 x 1748 (x, y, z)<b>Classes annotated</b>: extracellular space, plasma membrane, mitochondrial membrane, mitochondrial lumen, vesicle membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, microtubule out, microtubule in, cytosol, 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/crop245<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.24256156.v1
title: Manual organelle segmentations (crop245) 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, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, microtubule out, microtubule in, cytosol, 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>: crop245<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 0.49 (x, y, z)<b>Annotated data offset (nm)</b>: 12466 x 5902 x 1748 (x, y, z)<b>Classes annotated</b>: extracellular space, plasma membrane, mitochondrial membrane, mitochondrial lumen, vesicle membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, microtubule out, microtubule in, cytosol, 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/crop245<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: 10.5281/zenodo.14531558
title: Monitoring Changes in Vegetation Continuous Fields and Their Effects on Land Degradation and Surface Runoff in the Sahel

description: Dataset used to perform analyses related to the monitorin of VCFs and their effects on land degradation and surface runoff in the Sahel.
DOI: 10.5281/zenodo.14531559
title: Monitoring Changes in Vegetation Continuous Fields and Their Effects on Land Degradation and Surface Runoff in the Sahel

description: Dataset used to perform analyses related to the monitorin of VCFs and their effects on land degradation and surface runoff in the Sahel.
DOI: 10.25378/janelia.24256138
title: Manual organelle segmentations (crop242) 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>: crop242<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 0.57 (x, y, z)<b>Annotated data offset (nm)</b>: 35962 x 6042 x 1664 (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/crop242<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.24256138.v1
title: Manual organelle segmentations (crop242) 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>: crop242<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 0.57 (x, y, z)<b>Annotated data offset (nm)</b>: 35962 x 6042 x 1664 (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/crop242<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.24256135
title: Manual organelle segmentations (crop241) 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 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_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>: crop241<b>Primary Annotator</b>: Rebecca Vorimo<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>: 15546 x 6394 x 1114 (x, y, z)<b>Classes annotated</b>: extracellular space, plasma membrane, 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<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_cos7-1b/jrc_cos7-1b.zarr/recon-1/labels/groundtruth/crop241<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.24256135.v1
title: Manual organelle segmentations (crop241) 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 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_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>: crop241<b>Primary Annotator</b>: Rebecca Vorimo<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>: 15546 x 6394 x 1114 (x, y, z)<b>Classes annotated</b>: extracellular space, plasma membrane, 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<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_cos7-1b/jrc_cos7-1b.zarr/recon-1/labels/groundtruth/crop241<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: 10.25326/57
title: SAFIRE ATR42: Lidar ALiAS - level 1 & 1.5

description: <p>The Airborne Lidar for Aerosol Survey (ALIAS) operated from the SAFIRE ATR-42 during the EUREC4A field campaign. The aircraft was stationed in the Regional Security System (RSS) facilities based in the Grantley Adams International Airport of Barbados (BGI). The ATR-42 conducted 20 scientific flights (for ~80 flight hours), from 23 January to 13 February 2020. For each flight, the level 1 data acquired corresponds to the atmospheric signal backscattered towards the instrument telescope and detected at 355 nm. They have been geolocated, calibrated and corrected to produce level 1.5 lidar data. The database contains one level 1 file per flight and one level 1.5 file per flight.</p>
DOI: 10.5281/zenodo.14531566
title: Development and validation of a scale of psychosocial factors influencing surgical decisions in breast cancer patients
DOI: 10.5281/zenodo.14531567
title: Development and validation of a scale of psychosocial factors influencing surgical decisions in breast cancer patients
DOI: 10.25326/298
title: SAFIRE ATR42: Core Data 1Hz - V2

description: SAFIRE ATR42 Thermodynamics and Dynamics Parameters processed and synchronised at 1Hz. SAFIRE ATR42 Core instruments include: Inertial/GPS System, Barometers, Temperature and Humidity sensors, Radome and Pitot/Static System.
DOI: 10.25326/237
title: SAFIRE ATR42: PMA/Cloud composite dataset

description: The Cloud product dataset contains microphysics in situ measurements gathered during EUREC4A field campaign with a CDP-2 and a 2D-S probe installed on the SAFIRE ATR-42 (left-hand and right-hand underwing pod, respectively). The "cloud" product is obtained by merging the CDP-2 (2-50 µm) and 2D-S (10-2560 µm) data to create variables spanning the size range from cloud droplets to drizzle rain drops (2 - 2000 µm).

Xx

The dataset contains one file per flight, 19 files in total.

Available parameters are Particle Size Distribution (PSD), Total concentration (NT), Liquid Water Content (LWC), Median Volume Diameter (MVD) 
given at a frequency of 1 Hz. 
Data acquisition was synchronized with the ATR-42 GPS synchronised clock and the data is geolocated using aircraft position.
DOI: 10.25378/janelia.24256132
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.