cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25378/janelia.24256063
title: Manual organelle segmentations (crop222) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of (jrc_ut21-1413-003)

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, endosome lumen, cytosol, endosome, vesicle, mitochondria, endoplasmic reticulum, cell, basement membrane, endoplasmic reticulum membrane collective in jrc_ut21-1413-003 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>: crop222<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>: 50798 x 35998 x 99198 (x, y, z)<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, basement membrane, endoplasmic reticulum membrane collective<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_ut21-1413-003/jrc_ut21-1413-003.zarr/recon-1/labels/groundtruth/crop222<b>Source (EM) dataset ID</b>: jrc_ut21-1413-003<b>Source (EM) voxel size (nm)</b>: 8 x 8 x 8 (x, y, z)<b>Source (EM) data dimensions (µm)</b>: 130.42 x 91.22 x 121.19 (x, y, z)<b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.27075529<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_ut21-1413-003<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.24256063.v1
title: Manual organelle segmentations (crop222) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of (jrc_ut21-1413-003)

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, endosome lumen, cytosol, endosome, vesicle, mitochondria, endoplasmic reticulum, cell, basement membrane, endoplasmic reticulum membrane collective in jrc_ut21-1413-003 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>: crop222<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>: 50798 x 35998 x 99198 (x, y, z)<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, basement membrane, endoplasmic reticulum membrane collective<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_ut21-1413-003/jrc_ut21-1413-003.zarr/recon-1/labels/groundtruth/crop222<b>Source (EM) dataset ID</b>: jrc_ut21-1413-003<b>Source (EM) voxel size (nm)</b>: 8 x 8 x 8 (x, y, z)<b>Source (EM) data dimensions (µm)</b>: 130.42 x 91.22 x 121.19 (x, y, z)<b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.27075529<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_ut21-1413-003<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: 10.15468/dl.p5jzuf
title: Occurrence Download

description: A dataset listing the 8520 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Material citation, Material sample, Specimen, Fossil, Living Specimen)",
 "Country is Colombia",
 "DatasetKey is one of (Herbario Nacional Colombiano (COL), Herbario Universidad de Antioquia (HUA), Colección Herbario Federico Medem Bogotá - FMB, ICN - Universidad Nacional de Colombia, Herbario Pontificia Universidad Javeriana, Herbario Museo de La Salle Bogotá (BOG), Estudios bióticos: Plantas, edafofauna epígea, anfibios y aves en el complejo de páramos Cruz Verde - Sumapaz, Herbarium William Nylander (H-NYL), The Lichens Collection at the Botanische Staatssammlung München, Lichens at Herbarium Berolinense, Berlin (B))",
 "GadmGid is COL.15_2",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 8520 records were derived from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037130-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/ohvd5wbj
title: Basket Option Pricing in Multivariate Variance-Gamma Model

description: The dataset is used for pricing basket options in a multivariate Variance-Gamma model. The dataset contains the values of the underlying assets, the strike price, the weight vector, and the volatilities.
DOI: 10.57702/z6jk7exi
title: Su et al. 2017 dataset

description: The dataset used in the paper is a synthetic dataset of blurred videos, generated by capturing sharp videos at high frame rate and averaging adjacent frames.
DOI: 10.57702/hzsvyg4s
title: Nah et al. 2017 dataset

description: The dataset used in the paper is a synthetic dataset of blurred videos, generated by capturing sharp videos at high frame rate and averaging adjacent frames.
DOI: 10.57702/wtd28g23
title: HSI dataset for RGB image-to-StO2 translation

description: The dataset used for training and testing the Conditional Generative Adversarial Networks (cGAN) for estimating tissue oxygen saturation from RGB images.
DOI: 10.57702/gahwu3bt
title: Reputation Agent: Prompting Fair Reviews in Gig Markets

description: Reputation Agent is a tool that detects unfair reviews on gig markets and prompts fairer assessments by presenting micro-information about gig workers’ conditions and policies.
DOI: 10.25378/janelia.24256072
title: Manual organelle segmentations (crop224) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of (jrc_ut21-1413-003)

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, endosome membrane, endosome lumen, cytosol, endosome, cell in jrc_ut21-1413-003 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>: crop224<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>: 52454 x 38054 x 51494 (x, y, z)<b>Classes annotated</b>: extracellular space, plasma membrane, endosome membrane, endosome lumen, cytosol, endosome, cell<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_ut21-1413-003/jrc_ut21-1413-003.zarr/recon-1/labels/groundtruth/crop224<b>Source (EM) dataset ID</b>: jrc_ut21-1413-003<b>Source (EM) voxel size (nm)</b>: 8 x 8 x 8 (x, y, z)<b>Source (EM) data dimensions (µm)</b>: 130.42 x 91.22 x 121.19 (x, y, z)<b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.27075529<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_ut21-1413-003<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.24256072.v1
title: Manual organelle segmentations (crop224) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of (jrc_ut21-1413-003)

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, endosome membrane, endosome lumen, cytosol, endosome, cell in jrc_ut21-1413-003 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>: crop224<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>: 52454 x 38054 x 51494 (x, y, z)<b>Classes annotated</b>: extracellular space, plasma membrane, endosome membrane, endosome lumen, cytosol, endosome, cell<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_ut21-1413-003/jrc_ut21-1413-003.zarr/recon-1/labels/groundtruth/crop224<b>Source (EM) dataset ID</b>: jrc_ut21-1413-003<b>Source (EM) voxel size (nm)</b>: 8 x 8 x 8 (x, y, z)<b>Source (EM) data dimensions (µm)</b>: 130.42 x 91.22 x 121.19 (x, y, z)<b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.27075529<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_ut21-1413-003<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: 10.15468/dl.p3739q
title: Occurrence Download

description: A dataset containing 533 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Elevation 2986.0-4983.0m",
 "Geometry POLYGON((-76.39843 0.96198,-76.2617 1.31998,-75.93021 1.75313,-75.68269 2.15976,-75.94789 2.23932,-77.00425 1.38186,-77.05287 1.22716,-77.0617 0.97965,-76.39843 0.96198))"
 ]
}

 The dataset includes 533 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037154-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10219760
title: Balochi Language to English Translation Dataset
DOI: 10.57702/lero6606
title: TaxiXNLI (diagnostic)

description: Multilingual extension of the TAXINLI dataset for analyzing the effects of reasoning types on cross-lingual transfer performance.
DOI: 10.6084/m9.figshare.c.3615743_d6.v1
title: Additional file 6: Table S4. of 
                     De novo assembly and analysis of the transcriptome of Ocimum americanum var. pilosum under cold stress

description: Primer information. (XLSX 38 kb).
DOI: 10.57702/aomqy73j
title: TaxiXNLI (translated)

description: Multilingual extension of the TAXINLI dataset for analyzing the effects of reasoning types on cross-lingual transfer performance.
DOI: 10.6084/m9.figshare.c.3615743_d5.v1
title: Additional file 3: Table S3. of 
                     De novo assembly and analysis of the transcriptome of Ocimum americanum var. pilosum under cold stress

description: Pathways annotated by KEGG analysis. (XLS 221 kb).
DOI: 10.57702/s3jj69bf
title: MapAI: Precision in building segmentation

description: The dataset used in this paper for building extraction from LiDAR data and aerial images.
DOI: 10.6084/m9.figshare.c.3615743_d3.v1
title: Additional file 2: Table S2. of 
                     De novo assembly and analysis of the transcriptome of Ocimum americanum var. pilosum under cold stress

description: Similarities between O. americanum var. pilosum and other species. (XLS 70 kb).
DOI: 10.57702/b6wyt9tv
title: The Simulacrum

description: Simulacrum dataset, a synthetic dataset for medical research, generated using a directed graph and conditional distributions
DOI: 10.6084/m9.figshare.c.3615743_d1.v1
title: Additional file 1: Table S1. of 
                     De novo assembly and analysis of the transcriptome of Ocimum americanum var. pilosum under cold stress

description: List of annotated unigenes and lists of up-regulated genes and down-regulated genes in chilling-treated samples. (XLS 14564 kb).
DOI: 10.57702/vczvuyah
title: EnCoD: Distinguishing Compressed and Encrypted File Fragments

description: A large, standardized dataset of encrypted and compressed fragments covering various popular file formats and fragment sizes.
DOI: 10.6084/m9.figshare.c.3615698_d10.v1
title: Additional file 1: Table S1. of Genome-wide identification and characterization of long non-coding RNAs in developmental skeletal muscle of fetal goat

description: Summary of RNA-seq data and reads mapped to the Capra hircus reference genome. (XLSX 13 kb)
DOI: 10.57702/wpymbfzy
title: Multi-task Learning for Low-resource Second Language Acquisition Modeling

description: Second language acquisition (SLA) modeling is to predict whether second language learners could correctly answer the questions according to what they have learned.
DOI: 10.6084/m9.figshare.c.3615698_d9.v1
title: Additional file 9: Table S7. of Genome-wide identification and characterization of long non-coding RNAs in developmental skeletal muscle of fetal goat

description: Functional enrichment analysis of protein-coding genes co-expressed with lncRNAs. (XLSX 160 kb)
DOI: 10.6084/m9.figshare.c.3615698_d7.v1
title: Additional file 7: Table S5. of Genome-wide identification and characterization of long non-coding RNAs in developmental skeletal muscle of fetal goat

description: Functional enrichment analysis of protein-coding genes targeted by cis-acting lncRNAs. (XLSX 47 kb)
DOI: 10.6084/m9.figshare.c.3615698_d8.v1
title: Additional file 2: Table S2. of Genome-wide identification and characterization of long non-coding RNAs in developmental skeletal muscle of fetal goat

description: List of lncRNAs identified in the goat skeletal muscle libraries. (XLSX 171 kb)
DOI: 10.6084/m9.figshare.c.3615698_d6.v1
title: Additional file 11: of Genome-wide identification and characterization of long non-coding RNAs in developmental skeletal muscle of fetal goat

description: The transcript annotation information for the lncRNAs. (GTF 2080 kb)
DOI: 10.6084/m9.figshare.c.3615698_d5.v1
title: Additional file 8: Table S6. of Genome-wide identification and characterization of long non-coding RNAs in developmental skeletal muscle of fetal goat

description: Co-expression analysis between protein-coding genes and lncRNAs (Pearson’s correlation coefficients &gt; 0.95 and
DOI: 10.57702/sujcf38d
title: Dispersed Pixel Perturbation-based Imperceptible

description: Typical deep neural network (DNN) backdoor at-
DOI: 10.57702/x014qu2q
title: Face Detection and Recognition using Viola Jones and BPNN

description: The dataset used for face detection and recognition using Viola Jones algorithm and Back Propagation Neural Network.
DOI: 10.57702/rpbrcwxu
title: LMD-full dataset and the largest midi collection on the internet

description: The dataset used in this paper initially created in [9], which come from two different sources: a) the ”LMD-full dataset” of the Lakh MIDI Dataset v0.1 1 and a dataset found on a reddit thread called ”the largest midi collection on the internet”2.
DOI: 10.57702/w8qmn06j
title: Pattern Reduction Dataset

description: The dataset is used to predict the final objective function value of a difficult combinatorial optimization problem from the input.
DOI: 10.57702/wscga2ud
title: CheMFi: A Multifidelity Dataset of Quantum Chemical Properties of Diverse Molecules

description: A diverse collection of multifidelity QC properties for 9 molecules, calculated at 5 different fidelities.
DOI: 10.57702/ylr8yrls
title: CPPL resolution

description: The dataset used in this paper is the CPPL dataset, which is a set of sentences in Constrained Pseudo-Pseudo-Propositional Logic (CPPL).
DOI: 10.25378/janelia.24256078
title: Manual organelle segmentations (crop226) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of (jrc_ut21-1413-003)

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, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, cytosol, endosome, vesicle, endoplasmic reticulum, cell, basement membrane, endoplasmic reticulum membrane collective in jrc_ut21-1413-003 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>: crop226<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>: 36398 x 25758 x 60998 (x, y, z)<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, basement membrane, endoplasmic reticulum membrane collective<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_ut21-1413-003/jrc_ut21-1413-003.zarr/recon-1/labels/groundtruth/crop226<b>Source (EM) dataset ID</b>: jrc_ut21-1413-003<b>Source (EM) voxel size (nm)</b>: 8 x 8 x 8 (x, y, z)<b>Source (EM) data dimensions (µm)</b>: 130.42 x 91.22 x 121.19 (x, y, z)<b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.27075529<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_ut21-1413-003<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.