cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25378/janelia.24247180.v1
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.
DOI: 10.6084/m9.figshare.c.3625508_d5.v1
title: MOESM5 of What evidence exists on the local impacts of energy systems on marine ecosystem services: a systematic map

description: Additional file 5. Systematic map database of impact of energy systems on marine ecosystems.
DOI: 10.6084/m9.figshare.c.3625520_d2.v1
title: Additional file 2: of Evolution and expression of the phosphodiesterase 6 genes unveils vertebrate novelty to control photosensitivity

description: Tables containing sequence identifiers, genomic locations and sequence names. The tables include information for genes used in the phylogenetic analyses, both from the PDE6 subunit gene families and the identified neighbouring gene families. Each family has its own sheet in the excel file. (XLSX 58 kb)
DOI: 10.6084/m9.figshare.c.3625520_d3.v1
title: Additional file 5: of Evolution and expression of the phosphodiesterase 6 genes unveils vertebrate novelty to control photosensitivity

description: Synteny tables from Ocampo Daza et al. 2012 with our identified PDE6 inhibitory subunit genes added. Tables showing genomic locations for the PDE6 neighbouring gene families organized in chromosomal blocks from Ocampo Daza et al. 2012, to which we have added the genomic locations of the PDE6 inhibitory subunit genes we identified in the current study. (XLSX 87 kb)
DOI: 10.6084/m9.figshare.c.3625520_d4.v1
title: Additional file 4: of Evolution and expression of the phosphodiesterase 6 genes unveils vertebrate novelty to control photosensitivity

description: Multiple sequence alignment in FASTA format for the amino acid sequences of the identified PDE6 inhibitory subunit genes. The alignment was done using ClustalO in the Seaview 4.5.3 program. Sequence names are provided in Additional file 2. (RTF 9 kb)
DOI: 10.15468/dl.7jjw7h
title: Occurrence Download

description: A dataset containing 72021 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pelecanus thagus Molina, 1782"
 ]
}

 The dataset includes 72021 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037955-241126133413365/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.3625577_d1.v1
title: Additional file 3 of iRDA: a new filter towards predictive, stable, and enriched candidate genes

description: Table S3. Parsimonious gene sets of AUC performance. The file provides all the gene sets of four filters over eleven datasets based on AUC measurement from Tables 4 and 7. (XLSX 20 kb)
DOI: 10.6084/m9.figshare.c.3625619_d5.v1
title: Additional file 10: of Global identification and analysis of long non-coding RNAs in diploid strawberry Fragaria vesca during flower and fruit development

description: Differentially expressed lncRNA loci in pairwise comparisons. (XLSX 2178 kb)
DOI: 10.6084/m9.figshare.c.3625595_d10.v1
title: Additional file 13: of Dynamic transcriptome profiling of Bean Common Mosaic Virus (BCMV) infection in Common Bean (Phaseolus vulgaris L.)

description: Significant alternate-splice transcripts for NL1-I at 4Â days after infection. (ZIP 3Â kb)
DOI: 10.6084/m9.figshare.c.3625619_d6.v1
title: Additional file 13: of Global identification and analysis of long non-coding RNAs in diploid strawberry Fragaria vesca during flower and fruit development

description: Negative correlation between lncRNA expression and all PC genes. (XLSX 2974 kb)
DOI: 10.6084/m9.figshare.c.3625595_d11.v1
title: Additional file 7: of Dynamic transcriptome profiling of Bean Common Mosaic Virus (BCMV) infection in Common Bean (Phaseolus vulgaris L.)

description: Variants from BCMVS2 reads on the NL1I genome assembly. Variant-call-format file, showing single-nucleotide variants between the BCMVS2 genomic reads and the NL1I genome assembly. (ZIP 13Â kb)
DOI: 10.6084/m9.figshare.c.3625619_d7.v1
title: Additional file 3: of Global identification and analysis of long non-coding RNAs in diploid strawberry Fragaria vesca during flower and fruit development

description: The sequences of 5,884 lncRNAs in the .fasta format. (FASTA 5602 kb)
DOI: 10.15468/dl.fxxhpd
title: Occurrence Download

description: A dataset containing 531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Alsophila setosa Kaulf."
 ]
}

 The dataset includes 531 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037957-241126133413365/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.3625619_d8.v1
title: Additional file 11: of Global identification and analysis of long non-coding RNAs in diploid strawberry Fragaria vesca during flower and fruit development

description: Primers used in qRT-PCR for validation of ten random lncRNAs. (XLSX 8 kb)
DOI: 10.6084/m9.figshare.c.3625619_d9.v1
title: Additional file 12: of Global identification and analysis of long non-coding RNAs in diploid strawberry Fragaria vesca during flower and fruit development

description: Expression correlations between lncRNAs and adjacent PC genes. (XLSX 894 kb)
DOI: 10.6084/m9.figshare.c.3625619_d10.v1
title: Additional file 15: of Global identification and analysis of long non-coding RNAs in diploid strawberry Fragaria vesca during flower and fruit development

description: LncRNAs in Prunus. (FASTA 1011 kb)
DOI: 10.6084/m9.figshare.c.3625619_d11.v1
title: Additional file 8: of Global identification and analysis of long non-coding RNAs in diploid strawberry Fragaria vesca during flower and fruit development

description: Categories of the 5,884 lncRNAs classified by expression level, repetitive sequences, and small RNAs. (XLSX 1624 kb)
DOI: 10.6084/m9.figshare.c.3625619_d12.v1
title: Additional file 14: of Global identification and analysis of long non-coding RNAs in diploid strawberry Fragaria vesca during flower and fruit development

description: LncRNAs in Malus. (FASTA 2792 kb)
DOI: 10.25378/janelia.24247108
title: Manual organelle segmentations (crop139) 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, endosome lumen, cytosol, 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>: crop139<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 46422 x 36670 (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, endosome lumen, cytosol, 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/crop139<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.24247108.v1
title: Manual organelle segmentations (crop139) 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, endosome lumen, cytosol, 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>: crop139<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 46422 x 36670 (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, endosome lumen, cytosol, 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/crop139<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.3625730_d1.v1
title: Additional file 5: of Type VI secretion systems of human gut Bacteroidales segregate into three genetic architectures, two of which are contained on mobile genetic elements

description: Alignment of contigs harboring GA2 T6SS loci with the B. fragilis CL05T00C05 contig bearing the GA2 T6SS locus. (XLSX 16Â kb)
DOI: 10.6084/m9.figshare.c.3625718_d4.v1
title: MOESM1 of Modeling human enteric dysbiosis and rotavirus immunity in gnotobiotic pigs

description: Additional file 1: Table S1. Experimental design for Gn pig study. Table S2.Â Mean concentration of specified enteropathy biomarkers in large intestinal contents on PID28 and PCD7. Table S3. Mean measurements per group for specified parameter and tissue. V:C is the villous to crypt ratio. Mitotic index was determined by counting mitotic figures in 50 crypts. Measurements are given in mm. Table S4. Weights (in kg) of Gn pigs during the study.
DOI: 10.6084/m9.figshare.c.3625730_d2.v1
title: Additional file 2: of Type VI secretion systems of human gut Bacteroidales segregate into three genetic architectures, two of which are contained on mobile genetic elements

description: Enumeration of Bacterodales T6SS proteins by genetic architecture and cluster. (XLSX 12Â kb)
DOI: 10.6084/m9.figshare.c.3625733_d2.v1
title: Additional file 7: Table S6. of Short chain acyl-CoA dehydrogenase deficiency and short-term high-fat diet perturb mitochondrial energy metabolism and transcriptional control of lipid-handling in liver

description: IPA Pathways. (XLSX 15 kb)
DOI: 10.15468/dl.xv78qb
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Inventario Nacional de Candelilla (Euphorbia antisyphilitica) Fase I.",
 "Geometry POLYGON((-131.52786 12.89340,-78.47214 12.89340,-78.47214 34.10660,-131.52786 34.10660,-131.52786 12.89340))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037946-241126133413365/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.3625730_d3.v1
title: Additional file 3: of Type VI secretion systems of human gut Bacteroidales segregate into three genetic architectures, two of which are contained on mobile genetic elements

description: Identification of putative effector and immunity proteins by comparison to those identified in Zhang et al. [ 21 ]. (XLSX 22Â kb)
DOI: 10.6084/m9.figshare.c.3625745_d2.v1
title: Additional file 13: of An efficient algorithm for identifying primary phenotype attractors of a large-scale Boolean network

description: Attractor in the logical T-cell signaling model. (XLSX 19Â kb)
DOI: 10.6084/m9.figshare.c.3625733_d3.v1
title: Additional file 6: Table S5. of Short chain acyl-CoA dehydrogenase deficiency and short-term high-fat diet perturb mitochondrial energy metabolism and transcriptional control of lipid-handling in liver

description: Genotype-by-diet interactions affecting gene expression. (XLSX 23 kb)
DOI: 10.6084/m9.figshare.c.3625736_d2.v1
title: Additional file 1 of BAMQL: a query language for extracting reads from BAM files

description: This directory contains tests written in BAMQL, C, Perl, Python, SAMtools and Sambamba languages. A binary file with the appropriate version is provided for Sambamba. (ZIP 1495 kb)
DOI: 10.6084/m9.figshare.c.3625730_d4.v1
title: Additional file 4: of Type VI secretion systems of human gut Bacteroidales segregate into three genetic architectures, two of which are contained on mobile genetic elements

description: Alignment of the ICE from the Bacteroidales CL02T12 strains against contigs of strains harboring GA1 T6SS loci. (XLSX 48Â kb)
DOI: 10.6084/m9.figshare.c.3625730_d5.v1
title: Additional file 1: of Type VI secretion systems of human gut Bacteroidales segregate into three genetic architectures, two of which are contained on mobile genetic elements

description: Proteins encoded by each of the 205 genomes that match the profile HMMs for Tss, Tag, TetR, Rhs, PAAR and PAAR-Rhs proteins. (XLSX 359Â kb)
DOI: 10.25378/janelia.24247102
title: Manual organelle segmentations (crop138) 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, 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>: crop138<br><br><b>Primary Annotator</b>: Alyson Petruncio, Thomson Rymer<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>: 51998 x 36798 x 63998 (x, y, z)<br><br><b>Classes annotated</b>: 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/crop138<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.