cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.c.3624932_d2.v1
title: Additional file 5 of A semi-automated, KNIME-based workflow for biofilm assays

description: Importable workflow for the KNIME Analytics Platform to demonstrate the merging of sample metadata (plate-layout-template.xlsx) and Magellan-measured absorbance data (.asc files). See Fig. 2 for illustration. Please note that importing will return an error initially, because the file paths can not match, and have to be corrected as described in section KNIME workflow for data processing . In case of the File Reader nodes, this correction should be conducted with the option Preserve user settings for new location activated. If forgotten, and if the data preview shows a column filled with question marks, please right-click on that column and activate the option DON’T include column in output table. Traffic light symbols below the nodes will indicate whether corrections are still necessary (red), or whether the nodes can be executed (yellow). Upon execution of this workflow, data files are read in and the Expand Well Position nodes ensure equal formatting of the sample metadata and measurement results according to the well coordinates (defined in the .xlsx file and present in the .asc files). Joiner combines these tables per row, discarding incongruencies between plate layouts and measurement data. Concatenate progressively merges two plates’ data tables into one. Plate Heatmap Viewer provides a visual comparison of the data processing result with the visual impression of a plate. In particular, the expected locations of biofilm-negative and -positive controls are easily discernible. In the concatenated table, Plate Row Converter and Column Combiner regenerate the alphanumeric well coordinates so that the data and visual impression of individual wells can be compared. Column Filter and Column Resorter exclude obsolete coordinate metadata and pre-format the remaining table for export by CSV Writer. (TAR 65.0 kb)
DOI: 10.6084/m9.figshare.c.3624935_d2.v1
title: MOESM2 of 
                     Plasmodium Rab5b is secreted to the cytoplasmic face of the tubovesicular network in infected red blood cells together with N-acylated adenylate kinase 2

description: Additional file 2: Table S1. List of oligonucleotide sequences used for plasmid construction.
DOI: 10.6084/m9.figshare.c.3624932_d3.v1
title: Additional file 3 of A semi-automated, KNIME-based workflow for biofilm assays

description: Viaflo ( http://www.integra-biosciences.com/sites/viaflo_pipettes.html ) electronic pipetting scripts to successively remove cells, crystal violet staining solution and wash water after steps 1, 3 and 5 (Table 1). See Fig. 1 for experimental context and Vialinkâ  s ( http://www.integra-biosciences.com/sites/vialink.html ) built-in help for importing instructions. (TAR 35.5 kb)
DOI: 10.6084/m9.figshare.c.3624932_d4.v1
title: Additional file 6 of A semi-automated, KNIME-based workflow for biofilm assays

description: R code to demonstrate the plotting of KNIME-processed data. Please note that due to a randomisation function in the plate layout .xlsx file, editing the latter and running the KNIME workflow and this script again may produce a plot with different assignments of data points to the levels X, Y and Z. (R 1.22 kb)
DOI: 10.25378/janelia.24247207
title: Manual organelle segmentations (crop151) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of mouse liver (jrc_mus-liver)

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, Golgi lumen, Golgi membrane, endosome lumen, cytosol, Golgi, endosome, vesicle, cell in jrc_mus-liver 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>: crop151<br><br><b>Primary Annotator</b>: Alyson Petruncio, Nora Forknall<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>: 0.8 x 0.8 x 0.8 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 44742 x 41502 x 13574 (x, y, z)<br><br><b>Classes annotated</b>: vesicle membrane, endosome membrane, vesicle lumen, Golgi lumen, Golgi membrane, endosome lumen, cytosol, Golgi, endosome, vesicle, cell<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_mus-liver/jrc_mus-liver.zarr/recon-1/labels/groundtruth/crop151<br><br><b>Source (EM) dataset ID</b>: jrc_mus-liver<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>: 101.98 x 101.82 x 71.46 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.16913047<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_mus-liver<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.24247207.v1
title: Manual organelle segmentations (crop151) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of mouse liver (jrc_mus-liver)

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, Golgi lumen, Golgi membrane, endosome lumen, cytosol, Golgi, endosome, vesicle, cell in jrc_mus-liver 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>: crop151<br><br><b>Primary Annotator</b>: Alyson Petruncio, Nora Forknall<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>: 0.8 x 0.8 x 0.8 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 44742 x 41502 x 13574 (x, y, z)<br><br><b>Classes annotated</b>: vesicle membrane, endosome membrane, vesicle lumen, Golgi lumen, Golgi membrane, endosome lumen, cytosol, Golgi, endosome, vesicle, cell<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_mus-liver/jrc_mus-liver.zarr/recon-1/labels/groundtruth/crop151<br><br><b>Source (EM) dataset ID</b>: jrc_mus-liver<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>: 101.98 x 101.82 x 71.46 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.16913047<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_mus-liver<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: 10.5519/qd.zgbdruqe
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (95 records)
DOI: 10.6084/m9.figshare.c.3625193_d1.v1
title: Additional file 2: of Comparative RNA-Seq profiling of berry development between table grape ‘Kyoho’ and its early-ripening mutant ’Fengzao’

description: Alignment and mapping results of the Illumina RNA-Seq reads in this study. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.c.3625193_d2.v1
title: Additional file 1: of Comparative RNA-Seq profiling of berry development between table grape ‘Kyoho’ and its early-ripening mutant ’Fengzao’

description: Primer sequences used in the qRT-PCR experiment. (XLS 26 kb)
DOI: 10.6084/m9.figshare.c.3625196_d1.v1
title: MOESM7 of Age-associated hydroxymethylation in human bone-marrow mesenchymal stem cells

description: Additional file 7: Table S7. Gene ontology analyisis of hypo5hmC CpG sites during aging. RR: relative risk is a measure of effect size describing the change of proportions between our selected set of genes and a given term; Q value is the result from the adjustment of P values in order to control the false discovery rate (FDR) using the Benjamini-Hochberg method.
DOI: 10.6084/m9.figshare.c.3625193_d3.v1
title: Additional file 3: of Comparative RNA-Seq profiling of berry development between table grape ‘Kyoho’ and its early-ripening mutant ’Fengzao’

description: Expression clusters, annotation, and functional categories and distribution of 20,944 genes expressed in the flesh tissues of both WT and MT across various developmental stages. (XLSX 355 kb)
DOI: 10.6084/m9.figshare.c.3625199_d2.v1
title: Additional file 4: Table S4. of Anchored enrichment dataset for true flies (order Diptera) reveals insights into the phylogeny of flower flies (family Syrphidae)

description: Assembly Results. Complete listing of assemblies produced from the raw reads. (XLSX 18Â kb)
DOI: 10.6084/m9.figshare.c.3625196_d2.v1
title: MOESM6 of Age-associated hydroxymethylation in human bone-marrow mesenchymal stem cells

description: Additional file 6: Table S6. Gene ontology analyisis of hyper5hmC CpG sites during aging. RR: relative risk is a measure of effect size describing the change of proportions between our selected set of genes and a given term; Q value is the result from the adjustment of P values in order to control the false discovery rate (FDR) using the Benjamini-Hochberg method.
DOI: 10.6084/m9.figshare.c.3625193_d4.v1
title: Additional file 5: of Comparative RNA-Seq profiling of berry development between table grape ‘Kyoho’ and its early-ripening mutant ’Fengzao’

description: GO analysis results of the genes expressed only in the flesh or peel tissue of WT or MT. (XLSX 69 kb)
DOI: 10.6084/m9.figshare.c.3625199_d3.v1
title: Additional file 2: Table S2. of Anchored enrichment dataset for true flies (order Diptera) reveals insights into the phylogeny of flower flies (family Syrphidae)

description: Final Probe Regions. Complete listing of all regions used in alignments to generate probes. (XLSX 1446Â kb)
DOI: 10.6084/m9.figshare.c.3625196_d3.v1
title: MOESM3 of Age-associated hydroxymethylation in human bone-marrow mesenchymal stem cells

description: Additional file 3: Table S3. List of CpG sites frecuently hydroxymethylated in MSCs.
DOI: 10.6084/m9.figshare.c.3625193_d5.v1
title: Additional file 4: of Comparative RNA-Seq profiling of berry development between table grape ‘Kyoho’ and its early-ripening mutant ’Fengzao’

description: Expression clusters, annotation, and functional categories and distribution of 20,804 genes expressed in the peel tissues of both WT and MT across various developmental stages. (XLSX 359 kb)
DOI: 10.25378/janelia.24247204
title: Manual organelle segmentations (crop150) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of mouse liver (jrc_mus-liver)

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, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, cytosol, endosome, vesicle, mitochondria, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective in jrc_mus-liver 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>: crop150<br><br><b>Primary Annotator</b>: Alyson Petruncio<br><br><b>Annotation protocol</b>: Using Amira to manually segment organelles in vEM for machine learning V.3 (http://dx.doi.org/10.17504/protocols.io.bp2l61rb5vqe/v3)<br><br><b>Software</b>: Amira 3D 2021.1, Classic Segmentation Workroom<br><br><b>Annotated voxel size (nm)</b>: 4 x 4 x 4 (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>: 72998 x 16198 x 34790 (x, y, z)<br><br><b>Classes annotated</b>: mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, cytosol, endosome, vesicle, mitochondria, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_mus-liver/jrc_mus-liver.zarr/recon-1/labels/groundtruth/crop150<br><br><b>Source (EM) dataset ID</b>: jrc_mus-liver<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>: 101.98 x 101.82 x 71.46 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.16913047<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_mus-liver<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.24247204.v1
title: Manual organelle segmentations (crop150) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of mouse liver (jrc_mus-liver)

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, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, cytosol, endosome, vesicle, mitochondria, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective in jrc_mus-liver 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>: crop150<br><br><b>Primary Annotator</b>: Alyson Petruncio<br><br><b>Annotation protocol</b>: Using Amira to manually segment organelles in vEM for machine learning V.3 (http://dx.doi.org/10.17504/protocols.io.bp2l61rb5vqe/v3)<br><br><b>Software</b>: Amira 3D 2021.1, Classic Segmentation Workroom<br><br><b>Annotated voxel size (nm)</b>: 4 x 4 x 4 (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>: 72998 x 16198 x 34790 (x, y, z)<br><br><b>Classes annotated</b>: mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, cytosol, endosome, vesicle, mitochondria, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_mus-liver/jrc_mus-liver.zarr/recon-1/labels/groundtruth/crop150<br><br><b>Source (EM) dataset ID</b>: jrc_mus-liver<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>: 101.98 x 101.82 x 71.46 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.16913047<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_mus-liver<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.kwkkrh
title: Occurrence Download

description: A dataset containing 1597 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Living Specimen)",
 "TaxonKey is Nyssomyia Barretto, 1962"
 ]
}

 The dataset includes 1597 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037956-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.c.3625370_d7.v1
title: Additional file 3: Table S3. of Identification and characterization of microRNAs in Humulus lupulus using high-throughput sequencing and their response to Citrus bark cracking viroid (CBCVd) infection

description: Information of predicted precursor sequences and characteristics of novel and conserved miRNAs in hop. (XLS 75Â kb)
DOI: 10.6084/m9.figshare.c.3625370_d8.v1
title: Additional file 6: Table S4. of Identification and characterization of microRNAs in Humulus lupulus using high-throughput sequencing and their response to Citrus bark cracking viroid (CBCVd) infection

description: Putative predicted targets for the 66 conserved miRNAs in hop. (XLS 55Â kb)
DOI: 10.6084/m9.figshare.c.3625367_d10.v1
title: Additional file 7: of Geographical distribution of genetic diversity in Secale landrace and wild accessions

description: Pairwise F ST values between pairs of accessions. (XLSX 45Â kb)
DOI: 10.6084/m9.figshare.c.3625367_d13.v1
title: Additional file 1: of Geographical distribution of genetic diversity in Secale landrace and wild accessions

description: Accessions used in this study, genebank provider, taxon, provenance and growth habit and genetic diversity measures. (XLSX 29Â kb)
DOI: 10.6084/m9.figshare.c.3625397_d1.v1
title: Additional file 1: Table S1. of Genesis of the columnar joints from welded tuff in Mount Mudeung National Geopark, Republic of Korea

description: Uâ  Thâ  Pb isotopic results for zircon.
DOI: 10.25378/janelia.24247180
title: Manual organelle segmentations (crop144) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of mouse liver (jrc_mus-liver)

description: <b>This acquisition is part of the CellMap 2024 Segmentation Challenge</b><br><br>- <b>Challenge DOI:</b> https://doi.org/10.25378/janelia.c.7456966<br><br>- <b>Challenge Website:</b> https://cellmapchallenge.janelia.org/<br><br><b>Annotation description</b>: Dense segmentations of extracellular space, plasma membrane, mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, mitochondrial ribosome, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, cytosol, endosome, vesicle, mitochondria, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective in jrc_mus-liver 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>: crop144<br><br><b>Primary Annotator</b>: Alyson Petruncio<br><br><b>Annotation protocol</b>: Using Amira to manually segment organelles in vEM for machine learning V.3 (http://dx.doi.org/10.17504/protocols.io.bp2l61rb5vqe/v3)<br><br><b>Software</b>: Amira 3D 2021.1, Classic Segmentation Workroom<br><br><b>Annotated voxel size (nm)</b>: 4 x 4 x 4 (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>: 45638 x 48726 x 40054 (x, y, z)<br><br><b>Classes annotated</b>: extracellular space, plasma membrane, mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, mitochondrial ribosome, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, cytosol, endosome, vesicle, mitochondria, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_mus-liver/jrc_mus-liver.zarr/recon-1/labels/groundtruth/crop144<br><br><b>Source (EM) dataset ID</b>: jrc_mus-liver<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>: 101.98 x 101.82 x 71.46 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.16913047<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_mus-liver<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.