cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.c.3622895_d3.v1
title: Additional file 1 : Table S4. of Pathogen-regulated genes in wheat isogenic lines differing in resistance to brown rust Puccinia triticina

description: Infection types of selected isogenic wheat lines inoculated with single spore isolate of Puccinia triticina (brown rust) used in this study. Infection type scale: 0 – no uredinia or other macroscopic signs of infection, 0; − no uredinia, but hypersensitive necrotic or chlorotic flecks of varying size present, 1 – small uredinia often surrounded by necrosis, 2 – small to medium-sized uredinia often surrounded by chlorosis or necrosis, 3 – medium-sized uredinia associated with chlorosis or rarely necrosis, 4 – large uredinia without chlorosis or necrosis. (DOCX 19 kb)
DOI: 10.6084/m9.figshare.c.3622910_d2.v1
title: Additional file 2: of Vitamin D deficiency and supplementation in pregnancy in a multiethnic population-based cohort

description: Supplementary table. (XLSX 11Â kb)
DOI: 10.6084/m9.figshare.c.3623135_d1.v1
title: MOESM2 of Adaption of a dermal in vitro method to investigate the uptake of chemicals across amphibian skin

description: Additional file 2. Cumulative absorbed doses of dermal absorption in vitro experiments. Each skin sample represents one diffusion cell and is listed according to treatment; cumulative absorbed doses found in the receptor fluids of each diffusion cell are listed for each sampling time point; Xlf = Xenopus laevis, female; used animals are numbered consecutively (2-7); skin side is described as d = dorsal or v = ventral, first number describes area of skin side (1 = cranial, 2 = caudal) and second number describes if the sample stemmed from the left (= .1) or the right side (= .2) related to the top view of the animal.
DOI: 10.6084/m9.figshare.c.3623102_d6.v1
title: Additional file 4: of Increasing mortality in the United States from cholangiocarcinoma: an analysis of the National Center for Health Statistics Database

description: Excel Spreadsheet raw data used to generate Figure 1. (XLSX 52 kb)
DOI: 10.6084/m9.figshare.c.3623147_d1.v1
title: Additional file 1: of Prevalence of intestinal parasitic infections and associated risk factors among pregnant women attending antenatal care center at Felege Hiwot Referral Hospital, northwest Ethiopia

description: Data used for statistical analysis of the present study. Sheet1 of xls data shows the data used for statistical analysis of the present study whereas the second sheet (sheet 2) shows the summary of statistical analysis of some of the socio-demographic variables studied. (XLS 156 kb)
DOI: 10.6084/m9.figshare.c.3623102_d7.v1
title: Additional file 5: of Increasing mortality in the United States from cholangiocarcinoma: an analysis of the National Center for Health Statistics Database

description: Excel Spreadsheet raw data used to generate Figure 2. (XLS 35 kb)
DOI: 10.6084/m9.figshare.c.3623135_d3.v1
title: MOESM3 of Adaption of a dermal in vitro method to investigate the uptake of chemicals across amphibian skin

description: Additional file 3. Characteristics of skin samples used for dermal absorption in vitro experiments. Skin samples are listed according to treatment (test compound and storage); Xlf = Xenopus laevis, female; used animals are numbered consecutively (2–7); skin side is described as d = dorsal or v = ventral, first number describes area of skin side (1 = cranial, 2 = caudal) and second number describes if the sample stemmed from the left (= .1) or the right side (= .2) related to the top view of the animal; prior to experiments, skin thickness and impedance (multiplied by the skin area) of each skin sample was measured as outlined in “Methods” section.
DOI: 10.6084/m9.figshare.c.3623156_d1.v1
title: Additional file 3: of Comparative analysis of a sex chromosome from the blackchin tilapia, Sarotherodon melanotheron

description: Shared sex-patterned SNPs between O. niloticus and S. melanotheron within intergenic region and the genes on either side of each shared sex-patterned SNP. *These shared sex-patterned SNPs had a gene on one side and the end of the scaffold on the other side (XLSX 32 kb)
DOI: 10.6084/m9.figshare.c.3623135_d4.v1
title: MOESM1 of Adaption of a dermal in vitro method to investigate the uptake of chemicals across amphibian skin

description: Additional file 1. Percentages of the applied dose and kinetic parameters of dermal absorption in vitro experiments. Skin samples are listed according to treatment (test compound and storage); Xlf = Xenopus laevis, female; used animals are numbered consecutively (2–7); skin side is described as d = dorsal or v = ventral, first number describes area of skin side (1 = cranial, 2 = caudal) and second number describes if the sample stemmed from the left (= .1) or the right side (= .2) related to the top view of the animal; non-absorbed dose = first and second skin washings + donor chamber extraction, skin = amount recovered from the washed, digested skin; absorbed dose = in receptor medium at exposure end and extraction of receptor chamber; recovery represents the sum of non-absorbed dose, skin content and absorbed dose; maxAR = maximum absorption rate, maxKp = maximum permeability coefficient, calculated as described in Methods; nd = not determined.
DOI: 10.6084/m9.figshare.c.3623156_d2.v1
title: Additional file 2: of Comparative analysis of a sex chromosome from the blackchin tilapia, Sarotherodon melanotheron

description: Stop codon altering sex-patterned SNPs in O. niloticus. (XLSX 37 kb)
DOI: 10.6084/m9.figshare.c.3623156_d3.v1
title: Additional file 5: of Comparative analysis of a sex chromosome from the blackchin tilapia, Sarotherodon melanotheron

description: JASPAR analysis of transcription factor binding sites in the regions encompassing the shared SNPs. The uppercase letters in the sequence columns represent the SNP in question. The bolded SNPs are the SNPs within 20Â kb of previously identified candidate genes for sex-determination. (XLSX 81 kb)
DOI: 10.25378/janelia.24255697
title: Manual organelle segmentations (crop183) 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, 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>: crop183<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>: 23998 x 38198 x 69238 (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, 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/crop183<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.24255697.v1
title: Manual organelle segmentations (crop183) 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, 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>: crop183<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>: 23998 x 38198 x 69238 (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, 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/crop183<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: 10.6084/m9.figshare.c.3623387_d4.v1
title: Additional file 12: of Insights into the human mesenchymal stromal/stem cell identity through integrative transcriptomic profiling

description: Conservation scores calculated with the phastCons alignment algorithm for 100 vertebrate species over the UCSC hg19 genome. Only exonic regions were used in the calculation. (XLSX 30 kb)
DOI: 10.6084/m9.figshare.c.3623393_d3.v1
title: MOESM2 of What evidence exists for the effectiveness of on-farm conservation land management strategies for preserving ecosystem services in developing countries? A systematic map

description: Additional file 2. Records generated for specific searches.
DOI: 10.6084/m9.figshare.c.3623387_d5.v1
title: Additional file 10: of Insights into the human mesenchymal stromal/stem cell identity through integrative transcriptomic profiling

description: Table specifying the metagroups (“MG”) obtained from the functional enrichment analysis and subsequent annotation clustering of the mesenchymal lineage signature. The parameters used are detailed along the Materials and Results sections of the manuscript. Representative genes or terms of each metragroup are denoted in bold letters. (XLSX 38 kb)
DOI: 10.6084/m9.figshare.c.3623402_d1.v1
title: Additional file 2. of A multiobjective approach for identifying protein complexes and studying their association in multiple disorders

description: The source code of the proposed methodology.
DOI: 10.6084/m9.figshare.c.3623402_d2.v1
title: Additional file 3. of A multiobjective approach for identifying protein complexes and studying their association in multiple disorders

description: The processed data for constructing complex-disease bipartite network and ROC plot.
DOI: 10.25378/janelia.24247333
title: Manual organelle segmentations (crop177) 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 mitochondria 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>: crop177<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>: 16 x 16 x 16 (x, y, z)<br><br><b>Annotated data dimensions (µm)</b>: 6.4 x 6.4 x 6.4 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 3204 x 3204 x 6404 (x, y, z)<br><br><b>Classes annotated</b>: mitochondria<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_mus-liver/jrc_mus-liver.zarr/recon-1/labels/groundtruth/crop177<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.24247333.v1
title: Manual organelle segmentations (crop177) 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 mitochondria 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>: crop177<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>: 16 x 16 x 16 (x, y, z)<br><br><b>Annotated data dimensions (µm)</b>: 6.4 x 6.4 x 6.4 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 3204 x 3204 x 6404 (x, y, z)<br><br><b>Classes annotated</b>: mitochondria<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_mus-liver/jrc_mus-liver.zarr/recon-1/labels/groundtruth/crop177<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: 10.6084/m9.figshare.c.3623387_d6.v1
title: Additional file 1: of Insights into the human mesenchymal stromal/stem cell identity through integrative transcriptomic profiling

description: Recordings of established stromal cultures (AD-, PL-, BM- MSCs, and FIBs). Cell counts through passages (“Q1” and “Q2”), expansion times (“Texpan”) and doubling times (“DoubT”). (XLSX 52 kb)
DOI: 10.6084/m9.figshare.c.3623387_d7.v1
title: Additional file 15: of Insights into the human mesenchymal stromal/stem cell identity through integrative transcriptomic profiling

description: Functional enrichment analysis of the genes corresponding to the sets that are found overexpressed in the contrasts of each tissue-MSC subtype versus other mesenchymal/stromal subtypes. These gene lists are: 281 genes for AD-MSCs, and 412 genes for BM-MSCs and 531 genes for PL-MSCs. The file includes three tables with the data obtained with the DAVID functional enrichment tool. Each table includes the most relevant functional terms with significant p-values. (XLSX 68 kb)
DOI: 10.6084/m9.figshare.c.3623402_d3.v1
title: Additional file 1. of A multiobjective approach for identifying protein complexes and studying their association in multiple disorders

description: The human proteinâ  protein interaction data.
DOI: 10.6084/m9.figshare.c.3623387_d8.v1
title: Additional file 9: of Insights into the human mesenchymal stromal/stem cell identity through integrative transcriptomic profiling

description: List of 489 protein coding genes included in the mesenchymal lineage signature produced in this work. The table provides the gene symbols, ENSEMBL identifiers (IDs), corresponding UniProt IDs, protein names and description, as well as UniProt protein families and keywords. The proteins that are known CD markers (CDs) or transcription factors (TFs) are also indicated. (XLSX 129 kb)
DOI: 10.25378/janelia.24247318
title: Manual organelle segmentations (crop175) 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, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, lysosome lumen, lysosome membrane, endosome lumen, cytosol, lysosome, endosome, vesicle, 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>: crop175<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>: 2.4 x 1.2 x 3.2 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 36958 x 58022 x 16342 (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, cytosol, lysosome, endosome, vesicle, 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/crop175<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.