cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.c.3627302_d2.v1
title: Additional file 2: Table S1. of Infectious hematopoietic necrosis virus (IHNV) persistence in Sockeye Salmon: influence on brain transcriptome and subsequent response to the viral mimic poly(I:C)

description: Complete list of significantly differentially expressed probes that were affected by IHNV status (survivor, carrier), poly(I:C)-injection and an interaction effect of both factors.
DOI: 10.25378/janelia.24246619
title: Manual organelle segmentations (crop98) 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 nucleus 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>: crop98<br><br><b>Primary Annotator</b>: Aubrey Weigel<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 0.8 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 27583 x 1559 x 25635 (x, y, z)<br><br><b>Classes annotated</b>: nucleus<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_sum159-1/jrc_sum159-1.zarr/recon-1/labels/groundtruth/crop98<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.24246619.v1
title: Manual organelle segmentations (crop98) 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 nucleus 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>: crop98<br><br><b>Primary Annotator</b>: Aubrey Weigel<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 0.8 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 27583 x 1559 x 25635 (x, y, z)<br><br><b>Classes annotated</b>: nucleus<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_sum159-1/jrc_sum159-1.zarr/recon-1/labels/groundtruth/crop98<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: 10.15468/dl.342cdy
title: Occurrence Download

description: A dataset containing 9525 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pyrisitia dina (Poey, 1832)"
 ]
}

 The dataset includes 9525 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037958-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25378/janelia.24246622
title: Manual organelle segmentations (crop99) 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 nucleus 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>: crop99<br><br><b>Primary Annotator</b>: Aubrey Weigel<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 0.8 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 22191 x 2179 x 25099 (x, y, z)<br><br><b>Classes annotated</b>: nucleus<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_sum159-1/jrc_sum159-1.zarr/recon-1/labels/groundtruth/crop99<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.24246622.v1
title: Manual organelle segmentations (crop99) 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 nucleus 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>: crop99<br><br><b>Primary Annotator</b>: Aubrey Weigel<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 0.8 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 22191 x 2179 x 25099 (x, y, z)<br><br><b>Classes annotated</b>: nucleus<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_sum159-1/jrc_sum159-1.zarr/recon-1/labels/groundtruth/crop99<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.3627563_d1.v1
title: Additional file 2: of Expression of miR-296-5p as predictive marker for radiotherapy resistance in early-stage laryngeal carcinoma

description: Table S2. Expression data of the four selected microRNAs in the 34 LSCC samples included in the study. Ct values represent the average of three technical replicates.
DOI: 10.6084/m9.figshare.c.3627569_d1.v1
title: Additional file 3: of Detecting false positive sequence homology: a machine learning approach

description: Summary of DROSO RNA-seq libraries. (XLSX 40 kb)
DOI: 10.6084/m9.figshare.c.3627563_d2.v1
title: Additional file 1: of Expression of miR-296-5p as predictive marker for radiotherapy resistance in early-stage laryngeal carcinoma

description: Table S1. Raw data of the expression level of 667 human microRNAs in LSCC samples according to the TaqMan Human MicroRNA Array assays.
DOI: 10.25378/janelia.24255772
title: Manual organelle segmentations (crop186) 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, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, lysosome lumen, lysosome membrane, endosome lumen, cytosol, lysosome, endosome, vesicle, mitochondria, 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>: crop186<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>: 24726 x 5998 x 23254 (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, lysosome lumen, lysosome membrane, endosome lumen, cytosol, lysosome, endosome, vesicle, mitochondria, 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/crop186<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.3627569_d2.v1
title: Additional file 1: of Detecting false positive sequence homology: a machine learning approach

description: Summary of OD_S RNA-seq libraries. (XLSX 44 kb)
DOI: 10.25378/janelia.24255772.v1
title: Manual organelle segmentations (crop186) 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, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, lysosome lumen, lysosome membrane, endosome lumen, cytosol, lysosome, endosome, vesicle, mitochondria, 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>: crop186<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>: 24726 x 5998 x 23254 (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, lysosome lumen, lysosome membrane, endosome lumen, cytosol, lysosome, endosome, vesicle, mitochondria, 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/crop186<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.3627560_d3.v1
title: Additional file 3: Table S2 of Widespread RNA binding by chromatin-associated proteins

description: Gene clustersâ   functional annotations. (XLSX 1364 kb)
DOI: 10.6084/m9.figshare.c.3627674_d2.v1
title: Additional file 5: of Metabolomics of dates (Phoenix dactylifera) reveals a highly dynamic ripening process accounting for major variation in fruit composition

description: Metabolomics data from the second sample collection, measured by Metabolon (DS2). (XLSX 379 kb)
DOI: 10.6084/m9.figshare.c.3627653_d5.v1
title: Additional file 2: of LRR-RLK family from two Citrus species: genome-wide identification and evolutionary aspects

description: Amino acid sequences from C. clementina, C. sinensis and A. thaliana kinase domains. The sequences were obtained by in-house Perl scripts using kinase coordinates from pfam database. (XLSX 108 kb)
DOI: 10.6084/m9.figshare.c.3627671_d2.v1
title: Additional file 2: of Transcriptomic changes in relation to early-life events in the gilthead sea bream (Sparus aurata)

description: Blastx matches of transcripts classified in cluster 1, 2 or 3. Blastx results of transcripts in cluster 1, 2, and 3 separately. (XLSX 145Â kb)
DOI: 10.6084/m9.figshare.c.3627674_d3.v1
title: Additional file 4: of Metabolomics of dates (Phoenix dactylifera) reveals a highly dynamic ripening process accounting for major variation in fruit composition

description: Metabolomics data from the first sample collection, measured by Metabolon (DS1-bolon). (XLSX 322 kb)
DOI: 10.6084/m9.figshare.c.3627698_d1.v1
title: Additional file 11: of Transcriptomic responses of the basidiomycete yeast Sporobolomyces sp. to the mycotoxin patulin

description: Combined table of cuffdiff and BLASTx outputs for upregulated (Log2FC ≥ 2) and downregulated (Log2FC ≤ - 2) DEGs detected for Sporobolomyces sp. grown in the presence of 50 μg/ml of PAT at OD595 of ~0.25. BLASTx against existing Sporobolomyces sp. genome annotation and SGD is also shown. DEGs have been sorted from the highest Log2FC value to the smallest. In bold are indicated DEGs found also for Sporobolomyces sp. incubated in the presence of 5 μg/ml of PAT reported in Additional files 7 and 9. (XLSX 58 kb)
DOI: 10.6084/m9.figshare.c.3627653_d7.v1
title: Additional file 1: of LRR-RLK family from two Citrus species: genome-wide identification and evolutionary aspects

description: Amino acid sequences from Arabidopsis thaliana LRR-RLKs. Dataset containing 209 LRR-RLK sequences obtained from http://arabidopsis.org/ . (XLSX 137 kb)
DOI: 10.6084/m9.figshare.c.3627653_d8.v1
title: Additional file 6: of LRR-RLK family from two Citrus species: genome-wide identification and evolutionary aspects

description: Complete list and classification of LRR-RLKs from C. clementina, C. sinensis and A. thaliana. Citrus sequences were categorized in 16 groups of LRR-RLKs. (XLSX 55 kb)
DOI: 10.6084/m9.figshare.c.3627698_d2.v1
title: Additional file 8: of Transcriptomic responses of the basidiomycete yeast Sporobolomyces sp. to the mycotoxin patulin

description: Combined table of cuffdiff, Blast2GO and BLASTx outputs for downregulated Sporobolomyces sp. DEGs (FDR
DOI: 10.6084/m9.figshare.c.3627707_d1.v1
title: Additional file 1: of Using hybridization networks to retrace the evolution of Indo-European languages

description: Biolinguistic IE data archive. This file includes phonetic data, data matrices, Newick strings and word trees discussed in this paper as well as Perl and Python scripts for computing the Levenshtein and SCA distances. (ZIP 328Â kb)