cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11096853
title: Dataset behind review manuscript "Macrolitter and microplastics along the East Pacific coasts – a homemade problem needing local solutions"

description: Dataset containing data on abundance, distribution, composition and sources of marine litter (macrolitter and microplastics) along the East Pacific region, generated by reviewing all the peer-reviewed literature published for the region until December 2023. The results of this literature review are presented in the manuscript "Macrolitter and microplastics along the East Pacific coasts – a homemade problem needing local solutions".

All the data extracted from the literature are included in the sheets "MacroData" and "MicroData", corresponding to "macrolitter" and "microplastic" studies, respectively. The sheet "Legend_MacroData&MicroData" contains the metadata for the sheets "MacroData" and "MicroData". All the remaining sheets contain the data utilized for the elaboration of the graphs and figures presented in the manuscript.
DOI: 10.5517/ccdc.csd.cc2l1d8b
title: CCDC 2384621: Experimental Crystal Structure Determination

description: Related Article: Taciano A. S. Wanderley, Roberto Buscemi, Órla Conboy, Benjamin Knight, Giacomo E. M. Crisenza|2024|J.Am.Chem.Soc.|146|32848|doi:10.1021/jacs.4c13682
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.14510458
title: Electronic and optical excitations of K-Sb and Na-Sb crystals

description: This dataset contains results from DFT, G0W0 and BSE for 8 different alkali-antimony crystals.

All calculations were performed with the code 'exciting'. Larger intermediate files are excluded to reduce the file size, but can be reproduced with the available input files.

The dataset belongs to the identically named publication. Further computational details are available there.
DOI: 10.5281/zenodo.14510457
title: Electronic and optical excitations of K-Sb and Na-Sb crystals

description: This dataset contains results from DFT, G0W0 and BSE for 8 different alkali-antimony crystals.

All calculations were performed with the code 'exciting'. Larger intermediate files are excluded to reduce the file size, but can be reproduced with the available input files.

The dataset belongs to the identically named publication. Further computational details are available there.
DOI: 10.6084/m9.figshare.c.3626471_d3.v1
title: Additional file 1: of Comparative genomics of Beauveria bassiana: uncovering signatures of virulence against mosquitoes

description: Summary of the genome quality benchmarks performed with BUSCO. (XLSX 10Â kb)
DOI: 10.6084/m9.figshare.c.3626471_d5.v1
title: Additional file 5: of Comparative genomics of Beauveria bassiana: uncovering signatures of virulence against mosquitoes

description: Summary of genes of Bb8028 that under positive selection. (XLSX 10Â kb)
DOI: 10.6084/m9.figshare.c.3626471_d6.v1
title: Additional file 3: of Comparative genomics of Beauveria bassiana: uncovering signatures of virulence against mosquitoes

description: Summary of the unique genes of Bb8028. (XLSX 23Â kb)
DOI: 10.25378/janelia.24246661.v1
title: Manual organelle segmentations (crop115) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of (jrc_mus-nacc-1)

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, microtubule out, microtubule in, cytosol, endosome, vesicle, mitochondria, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective in jrc_mus-nacc-1 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>: crop115<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>: 2 x 2 x 2 (x, y, z)<br><br><b>Annotated data dimensions (µm)</b>: 1.2 x 1.2 x 1.2 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 6399 x 7999 x -1 (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, microtubule out, microtubule in, cytosol, endosome, vesicle, mitochondria, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_mus-nacc-1/jrc_mus-nacc-1.zarr/recon-1/labels/groundtruth/crop115<br><br><b>Source (EM) dataset ID</b>: jrc_mus-nacc-1<br><br><b>Source (EM) voxel size (nm)</b>: nan<br><br><b>Source (EM) data dimensions (µm)</b>: nan<br><br><b>Source (EM) DOI</b>: nan<br><br><b>Visualization website</b>: nan<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.24246661
title: Manual organelle segmentations (crop115) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of (jrc_mus-nacc-1)

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, microtubule out, microtubule in, cytosol, endosome, vesicle, mitochondria, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective in jrc_mus-nacc-1 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>: crop115<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>: 2 x 2 x 2 (x, y, z)<br><br><b>Annotated data dimensions (µm)</b>: 1.2 x 1.2 x 1.2 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 6399 x 7999 x -1 (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, microtubule out, microtubule in, cytosol, endosome, vesicle, mitochondria, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_mus-nacc-1/jrc_mus-nacc-1.zarr/recon-1/labels/groundtruth/crop115<br><br><b>Source (EM) dataset ID</b>: jrc_mus-nacc-1<br><br><b>Source (EM) voxel size (nm)</b>: nan<br><br><b>Source (EM) data dimensions (µm)</b>: nan<br><br><b>Source (EM) DOI</b>: nan<br><br><b>Visualization website</b>: nan<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.3626489_d1.v1
title: Additional file 1: of Factors influencing the time between onset of illness and specimen collection in the diagnosis of non-pregnancy associated listeriosis in England and Wales

description: Data of non-pregnancy associated a listeriosis. (XLSX 94Â kb)
DOI: 10.25378/janelia.24238843
title: Manual organelle segmentations (crop20) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of immortalized breast cancer cell (jrc_sum159-1)

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, endosome membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, lipid droplet lumen, lipid droplet membrane, endosome lumen, cytosol, endosome, lipid droplet, mitochondria, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective in jrc_sum159-1 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>: crop20<br><br><b>Primary Annotator</b>: COSEM Project Team<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>: 2 x 2 x 2 (x, y, z)<br><br><b>Annotated data dimensions (µm)</b>: 0.8 x 0.8 x 0.34 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 18819 x 2979 x 21999 (x, y, z)<br><br><b>Classes annotated</b>: mitochondrial membrane, mitochondrial lumen, endosome membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, lipid droplet lumen, lipid droplet membrane, endosome lumen, cytosol, endosome, lipid droplet, mitochondria, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_sum159-1/jrc_sum159-1.zarr/recon-1/labels/groundtruth/crop20<br><br><b>Source (EM) dataset ID</b>: jrc_sum159-1<br><br><b>Source (EM) voxel size (nm)</b>: 4 x 4 x 4.56 (x, y, z)<br><br><b>Source (EM) data dimensions (µm)</b>: 64 x 11.2 x 34.8 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.13114352<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_sum159-1<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.24238843.v1
title: Manual organelle segmentations (crop20) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of immortalized breast cancer cell (jrc_sum159-1)

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, endosome membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, lipid droplet lumen, lipid droplet membrane, endosome lumen, cytosol, endosome, lipid droplet, mitochondria, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective in jrc_sum159-1 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>: crop20<br><br><b>Primary Annotator</b>: COSEM Project Team<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>: 2 x 2 x 2 (x, y, z)<br><br><b>Annotated data dimensions (µm)</b>: 0.8 x 0.8 x 0.34 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 18819 x 2979 x 21999 (x, y, z)<br><br><b>Classes annotated</b>: mitochondrial membrane, mitochondrial lumen, endosome membrane, endoplasmic reticulum lumen, endoplasmic reticulum membrane, lipid droplet lumen, lipid droplet membrane, endosome lumen, cytosol, endosome, lipid droplet, mitochondria, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_sum159-1/jrc_sum159-1.zarr/recon-1/labels/groundtruth/crop20<br><br><b>Source (EM) dataset ID</b>: jrc_sum159-1<br><br><b>Source (EM) voxel size (nm)</b>: 4 x 4 x 4.56 (x, y, z)<br><br><b>Source (EM) data dimensions (µm)</b>: 64 x 11.2 x 34.8 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.13114352<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_sum159-1<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.3626612_d1.v1
title: Additional file 1: of Particulate-steroid betamethasone added to ropivacaine in interscalene brachial plexus block for arthroscopic rotator cuff repair improves postoperative analgesia

description: This is raw data of our clinical research. This file includes all our data of demographic data, primary outcome and secondary outcome. (XLS 33 kb)
DOI: 10.6084/m9.figshare.c.3626624_d1.v1
title: Additional file 1: of Peritonitis in peritoneal dialysis patients in Japan: a 2013 retrospective questionnaire survey of Japanese Society for Peritoneal Dialysis member institutions

description: Questionnaire regarding peritonitis. (XLSX 17 kb)
DOI: 10.25378/janelia.24238849
title: Manual organelle segmentations (crop22) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of immortalized breast cancer cell (jrc_sum159-1)

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, endoplasmic reticulum lumen, endoplasmic reticulum membrane, lipid droplet lumen, lipid droplet membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, lipid droplet, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective in jrc_sum159-1 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>: crop22<br><br><b>Primary Annotator</b>: COSEM Project Team<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>: 2 x 2 x 2 (x, y, z)<br><br><b>Annotated data dimensions (µm)</b>: 0.68 x 0.68 x 0.4 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 16039 x 1839 x 21519 (x, y, z)<br><br><b>Classes annotated</b>: vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, lipid droplet lumen, lipid droplet membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, lipid droplet, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_sum159-1/jrc_sum159-1.zarr/recon-1/labels/groundtruth/crop22<br><br><b>Source (EM) dataset ID</b>: jrc_sum159-1<br><br><b>Source (EM) voxel size (nm)</b>: 4 x 4 x 4.56 (x, y, z)<br><br><b>Source (EM) data dimensions (µm)</b>: 64 x 11.2 x 34.8 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.13114352<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_sum159-1<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.24238849.v1
title: Manual organelle segmentations (crop22) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of immortalized breast cancer cell (jrc_sum159-1)

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, endoplasmic reticulum lumen, endoplasmic reticulum membrane, lipid droplet lumen, lipid droplet membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, lipid droplet, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective in jrc_sum159-1 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>: crop22<br><br><b>Primary Annotator</b>: COSEM Project Team<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>: 2 x 2 x 2 (x, y, z)<br><br><b>Annotated data dimensions (µm)</b>: 0.68 x 0.68 x 0.4 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 16039 x 1839 x 21519 (x, y, z)<br><br><b>Classes annotated</b>: vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, lipid droplet lumen, lipid droplet membrane, endosome lumen, microtubule out, microtubule in, cytosol, endosome, vesicle, lipid droplet, endoplasmic reticulum, microtubule, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_sum159-1/jrc_sum159-1.zarr/recon-1/labels/groundtruth/crop22<br><br><b>Source (EM) dataset ID</b>: jrc_sum159-1<br><br><b>Source (EM) voxel size (nm)</b>: 4 x 4 x 4.56 (x, y, z)<br><br><b>Source (EM) data dimensions (µm)</b>: 64 x 11.2 x 34.8 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.13114352<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_sum159-1<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.3626660_d1.v1
title: Additional file 1: of In vitro infectivity and differential gene expression of Leishmania infantum metacyclic promastigotes: negative selection with peanut agglutinin in culture versus isolation from the stomodeal valve of Phlebotomus perniciosus

description: Primers and TaqMan-MGB probes used for qRT-PCR validation and determination of differential expression in clones that represent more than one gene. Table S1. Sequences of qRT-PCR primers and probes. (XLS 33 kb)