cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25378/janelia.24256030
title: Manual organelle segmentations (crop213) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of (jrc_sum159-4)

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, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, lysosome lumen, lysosome membrane, endosome lumen, microtubule out, microtubule in, cytosol, lysosome, endosome, vesicle, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective in jrc_sum159-4 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>: crop213<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>: 4 x 4 x 4 (x, y, z)<br><br><b>Annotated data dimensions (µm)</b>: 1.6 x 1.6 x 1.6 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 77878 x 5518 x 11134 (x, y, z)<br><br><b>Classes annotated</b>: extracellular space, plasma membrane, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, lysosome lumen, lysosome membrane, endosome lumen, microtubule out, microtubule in, cytosol, lysosome, endosome, vesicle, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_sum159-4/jrc_sum159-4.zarr/recon-1/labels/groundtruth/crop213<br><br><b>Source (EM) dataset ID</b>: jrc_sum159-4<br><br><b>Source (EM) voxel size (nm)</b>: 8 x 8 x 8 (x, y, z)<br><br><b>Source (EM) data dimensions (µm)</b>: 95 x 8.5 x 47.8 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.20134103<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_sum159-4<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.24256030.v1
title: Manual organelle segmentations (crop213) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of (jrc_sum159-4)

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, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, lysosome lumen, lysosome membrane, endosome lumen, microtubule out, microtubule in, cytosol, lysosome, endosome, vesicle, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective in jrc_sum159-4 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>: crop213<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>: 4 x 4 x 4 (x, y, z)<br><br><b>Annotated data dimensions (µm)</b>: 1.6 x 1.6 x 1.6 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 77878 x 5518 x 11134 (x, y, z)<br><br><b>Classes annotated</b>: extracellular space, plasma membrane, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, lysosome lumen, lysosome membrane, endosome lumen, microtubule out, microtubule in, cytosol, lysosome, endosome, vesicle, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_sum159-4/jrc_sum159-4.zarr/recon-1/labels/groundtruth/crop213<br><br><b>Source (EM) dataset ID</b>: jrc_sum159-4<br><br><b>Source (EM) voxel size (nm)</b>: 8 x 8 x 8 (x, y, z)<br><br><b>Source (EM) data dimensions (µm)</b>: 95 x 8.5 x 47.8 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.20134103<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_sum159-4<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: 10.6084/m9.figshare.c.3631142_d12.v1
title: Additional file 10: Table S8. of Transcriptome sequencing of gingival biopsies from chronic periodontitis patients reveals novel gene expression and splicing patterns

description: The GO term analysis of genes with differential alternative splicing in periodontitis. This excel file contains the list of the genes with differential alternative splicing, categorized according to the GO terms. (XLSX 32Â kb)
DOI: 10.17863/cam.57945
title: Research data supporting 'Short hydrogen bonds enhance nonaromatic protein-related fluorescence'

description: Raw data for experimental figures. Files contain .cif (crystallographic information file) for XRD data of the L-pyro-amm structure. .xlsx file containing spectra for absorption of L-glutamine, L-pyroglutamine and L-pyro-amm. .xlsx file contains spectra for fluorescence excitation and emission collected over 8 days for L-glutamine conversion to L-pyro-amm.
DOI: 10.17863/cam.26141
title: Research data supporting 'Structurally graduated collagen scaffolds applied to the ex vivo generation of platelets from human pluripotent stem cell-derived megakaryocytes: enhancing production and purity'

description: Platelet transfusions are a key treatment option for a range of life threatening conditions including cancer, chemotherapy and surgery. Efficient ex vivo systems to generate donor independent platelets in clinically relevant numbers could provide a useful substitute. Large quantities of megakaryocytes (MKs) can be produced from human pluripotent stem cells, but in 2D culture the ratio of platelets harvested from MK cells has been limited and restricts production rate. The development of biomaterial cell supports that replicate vital hematopoietic micro-environment cues are one strategy that may increase in vitro platelet production rates from iPS derived Megakaryocyte cells. In this paper, we present the results obtained generating, simulating and using a novel structurally-graded collagen scaffold within a flow bioreactor system seeded with programmed stem cells. Theoretical analysis of porosity using micro-computed tomography analysis and synthetic micro-particle filtration provided a predictive tool to tailor cell distribution throughout the material. When used with MK programmed stem cells the graded scaffolds influenced cell location while maintaining the ability to continuously release metabolically active CD41+ CD42+ functional platelets. This scaffold design and novel fabrication technique offers a significant advance in understanding the influence of scaffold architectures on cell seeding, retention and platelet production.
DOI: 10.6084/m9.figshare.c.3631142_d13.v1
title: Additional file 11: Table S9. of Transcriptome sequencing of gingival biopsies from chronic periodontitis patients reveals novel gene expression and splicing patterns

description: The KEGG pathway analysis of genes with differential alternative splicing in periodontitis. This excel file contains the list of the genes with differential alternative splicing, categorized according to the KEGG pathway enrichment analysis. (XLSX 10Â kb)
DOI: 10.6084/m9.figshare.c.3631214_d1.v1
title: Additional file 2: of Rapid gene identification in sugar beet using deep sequencing of DNA from phenotypic pools selected from breeding panels

description: Python package to generate AFe plots and automatic identification of intervals. The python script “VCF2AFAnalysis.py” was used to generate AFe plots from vcf files. Usage examples can be found in the “README” text file contained in the package. (ZIP 18 kb)
DOI: 10.6084/m9.figshare.c.3631211_d2.v1
title: MOESM1 of Inter-rater reliability of a national acute stroke register

description: Additional file 1. Contingency tables of all variables.
DOI: 10.6084/m9.figshare.c.3631214_d2.v1
title: Additional file 1: of Rapid gene identification in sugar beet using deep sequencing of DNA from phenotypic pools selected from breeding panels

description: “concat_contigs.py” script for generation of RefBeet-1.2.joined.fa. The python script “concat_contigs.py” and supporting files were used to generate the concatenated sequence RefBeet-1.2.joined.fa from RefBeet-1.2.fna [GenBank:AYZS00000000.1] [18]. It was tested on Unix/Linux systems with at least python version 2.7 installed. (ZIP 2 kb)
DOI: 10.25378/janelia.24256039
title: Manual organelle segmentations (crop216) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of (jrc_sum159-4)

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, lipid droplet lumen, lipid droplet membrane, lysosome lumen, lysosome membrane, endosome lumen, microtubule out, microtubule in, cytosol, lysosome, endosome, vesicle, lipid droplet, mitochondria, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective in jrc_sum159-4 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>: crop216<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>: 4 x 4 x 4 (x, y, z)<br><br><b>Annotated data dimensions (µm)</b>: 1.6 x 1.6 x 1.6 (x, y, z)<b>Annotated data offset (nm)</b>: 30958 x 5126 x 16534 (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, lipid droplet lumen, lipid droplet membrane, lysosome lumen, lysosome membrane, endosome lumen, microtubule out, microtubule in, cytosol, lysosome, endosome, vesicle, lipid droplet, mitochondria, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_sum159-4/jrc_sum159-4.zarr/recon-1/labels/groundtruth/crop216<b>Source (EM) dataset ID</b>: jrc_sum159-4<b>Source (EM) voxel size (nm)</b>: 8 x 8 x 8 (x, y, z)<br><br><b>Source (EM) data dimensions (µm)</b>: 95 x 8.5 x 47.8 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.20134103<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_sum159-4<br><br><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.24256039.v1
title: Manual organelle segmentations (crop216) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of (jrc_sum159-4)

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, lipid droplet lumen, lipid droplet membrane, lysosome lumen, lysosome membrane, endosome lumen, microtubule out, microtubule in, cytosol, lysosome, endosome, vesicle, lipid droplet, mitochondria, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective in jrc_sum159-4 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>: crop216<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>: 4 x 4 x 4 (x, y, z)<br><br><b>Annotated data dimensions (µm)</b>: 1.6 x 1.6 x 1.6 (x, y, z)<b>Annotated data offset (nm)</b>: 30958 x 5126 x 16534 (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, lipid droplet lumen, lipid droplet membrane, lysosome lumen, lysosome membrane, endosome lumen, microtubule out, microtubule in, cytosol, lysosome, endosome, vesicle, lipid droplet, mitochondria, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_sum159-4/jrc_sum159-4.zarr/recon-1/labels/groundtruth/crop216<b>Source (EM) dataset ID</b>: jrc_sum159-4<b>Source (EM) voxel size (nm)</b>: 8 x 8 x 8 (x, y, z)<br><br><b>Source (EM) data dimensions (µm)</b>: 95 x 8.5 x 47.8 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.20134103<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_sum159-4<br><br><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: 10.6084/m9.figshare.c.3631265_d5.v1
title: Additional file 4: Table S3. of Associations of genetic risk scores based on adult adiposity pathways with childhood growth and adiposity measures

description: Matrix of the number of overlapping SNPs per biological category. (XLS 13Â kb)
DOI: 10.25378/janelia.24256045
title: Manual organelle segmentations (crop217) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of (jrc_sum159-4)

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 mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum exit site lumen, endoplasmic reticulum exit site membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, lipid droplet lumen, lipid droplet membrane, endosome lumen, cytosol, endosome, vesicle, endoplasmic reticulum exit site, lipid droplet, mitochondria, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective in jrc_sum159-4 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>: crop217<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>: 4 x 4 x 4 (x, y, z)<b>Annotated data dimensions (µm)</b>: 1.6 x 1.6 x 1.6 (x, y, z)<b>Annotated data offset (nm)</b>: 24798 x 5198 x 28398 (x, y, z)<b>Classes annotated</b>: mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum exit site lumen, endoplasmic reticulum exit site membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, lipid droplet lumen, lipid droplet membrane, endosome lumen, cytosol, endosome, vesicle, endoplasmic reticulum exit site, lipid droplet, mitochondria, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_sum159-4/jrc_sum159-4.zarr/recon-1/labels/groundtruth/crop217<b>Source (EM) dataset ID</b>: jrc_sum159-4<b>Source (EM) voxel size (nm)</b>: 8 x 8 x 8 (x, y, z)<b>Source (EM) data dimensions (µm)</b>: 95 x 8.5 x 47.8 (x, y, z)<b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.20134103<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_sum159-4<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.24256045.v1
title: Manual organelle segmentations (crop217) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of (jrc_sum159-4)

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 mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum exit site lumen, endoplasmic reticulum exit site membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, lipid droplet lumen, lipid droplet membrane, endosome lumen, cytosol, endosome, vesicle, endoplasmic reticulum exit site, lipid droplet, mitochondria, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective in jrc_sum159-4 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>: crop217<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>: 4 x 4 x 4 (x, y, z)<b>Annotated data dimensions (µm)</b>: 1.6 x 1.6 x 1.6 (x, y, z)<b>Annotated data offset (nm)</b>: 24798 x 5198 x 28398 (x, y, z)<b>Classes annotated</b>: mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum exit site lumen, endoplasmic reticulum exit site membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, lipid droplet lumen, lipid droplet membrane, endosome lumen, cytosol, endosome, vesicle, endoplasmic reticulum exit site, lipid droplet, mitochondria, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_sum159-4/jrc_sum159-4.zarr/recon-1/labels/groundtruth/crop217<b>Source (EM) dataset ID</b>: jrc_sum159-4<b>Source (EM) voxel size (nm)</b>: 8 x 8 x 8 (x, y, z)<b>Source (EM) data dimensions (µm)</b>: 95 x 8.5 x 47.8 (x, y, z)<b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.20134103<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_sum159-4<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.