cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25378/janelia.24255778
title: Manual organelle segmentations (crop187) 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, lipid droplet lumen, lipid droplet membrane, lysosome lumen, lysosome membrane, endosome lumen, cytosol, lysosome, endosome, vesicle, lipid droplet, 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.<br><br><b>Annotation ID</b>: crop187<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>: 1.6 x 1.6 x 1.6 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 42982 x 3750 x 29046 (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, lipid droplet lumen, lipid droplet membrane, lysosome lumen, lysosome membrane, endosome lumen, cytosol, lysosome, endosome, vesicle, lipid droplet, endoplasmic reticulum, 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/crop187<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.24255778.v1
title: Manual organelle segmentations (crop187) 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, lipid droplet lumen, lipid droplet membrane, lysosome lumen, lysosome membrane, endosome lumen, cytosol, lysosome, endosome, vesicle, lipid droplet, 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.<br><br><b>Annotation ID</b>: crop187<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>: 1.6 x 1.6 x 1.6 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 42982 x 3750 x 29046 (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, lipid droplet lumen, lipid droplet membrane, lysosome lumen, lysosome membrane, endosome lumen, cytosol, lysosome, endosome, vesicle, lipid droplet, endoplasmic reticulum, 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/crop187<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.3627770_d7.v1
title: Additional file 3: Table S3. of Genome-wide transcription start site profiling in biofilm-grown Burkholderia cenocepacia J2315

description: Annotated and categorised TSS in the B. cenocepacia J2315 genome. (XLSX 353Â kb)
DOI: 10.15468/dl.mkc767
title: Occurrence Download

description: A dataset containing 147482 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 {
 "or" : [
 "Geometry POLYGON((-0.61053 39.41674,-0.40614 39.41674,-0.40614 39.58646,-0.61053 39.58646,-0.61053 39.41674))",
 "Geometry POLYGON((-0.44564 39.41639,-0.25416 39.41639,-0.25416 39.61411,-0.44564 39.61411,-0.44564 39.41639))"
 ]
 },
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 147482 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037944-241126133413365/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.3627770_d8.v1
title: Additional file 6: Table S5. of Genome-wide transcription start site profiling in biofilm-grown Burkholderia cenocepacia J2315

description: Promoter motifs based on MEME [15] analysis. (XLSX 124Â kb)
DOI: 10.6084/m9.figshare.c.3627827_d1.v1
title: MOESM1 of Maintenance-energy requirements and robustness of Saccharomyces cerevisiae at aerobic near-zero specific growth rates

description: Additional file 1. Set of differentially expressed genes during the transition from exponential growth to stationary phase in aerobic batches of S. cerevisiae with glucose as carbon source [34], and overlap with the set of differentially expressed genes during aerobic retentostat cultures in the present study.
DOI: 10.6084/m9.figshare.c.3627833_d1.v1
title: Additional file 1 of Novel gene sets improve set-level classification of prokaryotic gene expression data

description: Supplementary material. (ZIP 90 kb)
DOI: 10.25378/janelia.24255784
title: Manual organelle segmentations (crop188) 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>: crop188<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>: 81430 x 5142 x 24806 (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/crop188<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.24255784.v1
title: Manual organelle segmentations (crop188) 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>: crop188<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>: 81430 x 5142 x 24806 (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/crop188<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.3627770_d10.v1
title: Additional file 1: Table S1. of Genome-wide transcription start site profiling in biofilm-grown Burkholderia cenocepacia J2315

description: Number of mapped reads per RNA sample. (XLSX 11Â kb)
DOI: 10.6084/m9.figshare.c.3627842_d1.v1
title: Additional file 1: of RepeatAnalyzer: a tool for analysing and managing short-sequence repeat data

description: Â A table including all known A. marginale SSRs. Each SSR includes all names it has been assigned, separated by semicolons, and sources where it has been referenced are cited from the main text. (XLS 68.0 kb)
DOI: 10.6084/m9.figshare.c.3627770_d11.v1
title: Additional file 8: Table S7. of Genome-wide transcription start site profiling in biofilm-grown Burkholderia cenocepacia J2315

description: Genes belonging to enriched functionally related gene groups among leaderless transcripts and among transcripts with a 5′UTR longer than 150 nt. (XLSX 12 kb)
DOI: 10.6084/m9.figshare.c.3627827_d4.v1
title: MOESM10 of Maintenance-energy requirements and robustness of Saccharomyces cerevisiae at aerobic near-zero specific growth rates

description: Additional file 10. See Additional file 8 caption.
DOI: 10.6084/m9.figshare.c.3627842_d2.v1
title: Additional file 3: of RepeatAnalyzer: a tool for analysing and managing short-sequence repeat data

description: A table including all SSRs extracted from the S. pneumoniae samples. Each SSR is identified by a number. (XLS 28 kb)
DOI: 10.6084/m9.figshare.c.3627950_d1.v1
title: MOESM2 of Factors associated with utilization of emergency contraception among female students in Mizan-Tepi University, South West Ethiopia

description: Additional file 2. English version of the questionnaire.
DOI: 10.6084/m9.figshare.c.3627950_d2.v1
title: MOESM1 of Factors associated with utilization of emergency contraception among female students in Mizan-Tepi University, South West Ethiopia

description: Additional file 1. COREQ checklist for focus group.
DOI: 10.6084/m9.figshare.c.3627959_d1.v1
title: Additional file 1 of Filtering large-scale event collections using a combination of supervised and unsupervised learning for event trigger classification

description: This tar file contains images of the binary cluster tree, before and after the pruning. The HowToInterpretTreeDiagrams.txt file describes how the diagrams should be interpreted. (TAR 1290 kb)
DOI: 10.6084/m9.figshare.c.3627974_d1.v1
title: Additional file 2: Table S2. of Second Harmonic Generation microscopy reveals collagen fibres are more organised in the cervix of postmenopausal women

description: Raw data from quantitative assessment of SHG images using 2D Fourier analysis. (XLS 61Â kb)
DOI: 10.6084/m9.figshare.c.3627974_d2.v1
title: Additional file 1: Table S1. of Second Harmonic Generation microscopy reveals collagen fibres are more organised in the cervix of postmenopausal women

description: Raw data from qualitative assessment of SHG images. (XLS 18Â kb)
DOI: 10.5281/zenodo.14500707
title: How extreme was the thunderstorm rain in Vienna on 17 August 2024? INCA Data and station data.

description: The data was used for the analyses in "Brief communication: How extreme was the thunderstorm rain in Vienna on 17 August 2024? A temporal and spatial analysis." 



INCA data: Aggregated gridded 2-hourly precipitation sums for the study domain around Vienna with 1x1 km spatial resolution (Temporal resolution: 1 hour)

Station data: Hourly precipitation sum (Temporal resolution: 1 hour). See list for metadata:





ID
Name  
Longitude
Latitude
 Elevation (m)
Start year (1-hour resolution)


5820
Brunn am Gebirge
16°16'12''
48°6'25''
291
2008


51
Langenlebarn
16°07'05''
48°19'26''
175
1992


31
Gross-Enzersdorf
16°33'33''
48°11'59''
154
1994


5990
Schwechat
16°34'53''
48°7'3''
183
2008


5935
Wien-Donaufeld
16°25'53''
48°15'26''
160
1996


105
Wien-Hohe Warte
16°21'23''
48°14'55''
198
1941


5925
Wien-Innere Stadt
16°22'1''
48°11'54''
177
1985


5802
Wien-Jubiläumswarte
16°15'55''
48°13'16''
450
2009


106
Wien-Mariabrunn
16°13'46''
48°12'25''
225
1997


4115
Wien-Stammersdorf
16°24'20''
48°18'21''
191
2008


107
Wien-Unterlaa
16°25'10''
48°7'30''
200
1996
DOI: 10.25378/janelia.24255982
title: Manual organelle segmentations (crop202) 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, mitochondrial membrane, mitochondrial lumen, endosome membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, 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.<br><br><b>Annotation ID</b>: crop202<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>: 32840 x 5760 x 18464 (x, y, z)<br><br><b>Classes annotated</b>: extracellular space, plasma membrane, mitochondrial membrane, mitochondrial lumen, endosome membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, 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/crop202<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.