cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25378/janelia.24255982.v1
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.
DOI: 10.6084/m9.figshare.c.3628127_d1.v1
title: Additional file 1: of Effects of a balance-based exergaming intervention using the Kinect sensor on posture stability in individuals with Parkinsonâ  s disease: a single-blinded randomized controlled trial

description: Dataset. (SAV 6 kb)
DOI: 10.6084/m9.figshare.c.3628115_d3.v1
title: Additional file 5: of 
                     De novo assembly and characterisation of the field pea transcriptome using RNA-Seq

description: (A) Bioinformatic annotation (BLASTN) of Kaspa contigs against the chickpea, M. truncatula and soybean CDS. The information includes the BLASTN results obtained as a result of comparison of Kaspa contigs against the chickpea, M. truncatula and soybean CDSs at a threshold E value
DOI: 10.6084/m9.figshare.c.3628130_d1.v1
title: Additional file 1: of Assessment of hypertension management in primary health care settings in Kinshasa, Democratic Republic of Congo

description: Dataset. This file contains data supporting the results of this study ( http://dx.doi.org/10.5061/dryad.r7082 ).
DOI: 10.6084/m9.figshare.c.3628148_d1.v1
title: Additional file 1: Table S1. of Case mix adjustment of health outcomes, resource use and process indicators in childbirth care: a register-based study

description: Detailed definitions and data source for all case mix variables included. This table details the exact codes and the data source for the variables used for analysis. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.c.3628115_d5.v1
title: Additional file 8: of 
                     De novo assembly and characterisation of the field pea transcriptome using RNA-Seq

description: ORF prediction of the unannotated contigs. (A) This file contains information on ORFs prediction for the unannotated Kaspa-derived contigs. (B) This file contains information on ORFs prediction for the unannotated Parafield-derived contigs. (ZIP 7244Â kb)
DOI: 10.25378/janelia.24255985.v1
title: Manual organelle segmentations (crop203) 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>: crop203<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>: 28302 x 5526 x 38646 (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/crop203<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.24255985
title: Manual organelle segmentations (crop203) 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>: crop203<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>: 28302 x 5526 x 38646 (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/crop203<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.3628238_d3.v1
title: Additional file 3 of Enhanceosome transcription factors preferentially dimerize with high mobility group proteins

description: Table of inclusion of dimer instances within Billboard predicted enhancers. Presented are 64 human genes that contain within Âą10 kb of their TSS at least three instances of predicted dimers. For each of these instances, we report the number of informant species in which the instance ended up within a predicted enhancer. (XLS 20 kb)
DOI: 10.6084/m9.figshare.c.3628238_d4.v1
title: Additional file 7 of Enhanceosome transcription factors preferentially dimerize with high mobility group proteins

description: Comparison of human and mouse dimer selected genes. Fisherâ  s exact test p-values for comparing human and mouse dimer selected genes for all pairs of cell types from human and mouse. (XLS 360 kb)
DOI: 10.6084/m9.figshare.c.3628250_d3.v1
title: Additional file 11: of Flowering time adaption in Swedish landrace pea (Pisum sativum L.)

description: Variation in the SN gene. (XLSX 16Â kb)
DOI: 10.15468/dl.fwnzuh
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Santa Barbara Museum of Natural History Entomology Collection, University of Arizona Insect Collection, C.P. Gillette Museum of Arthropod Diversity, University of California Santa Barbara Invertebrate Zoology Collection, Brigham Young University Arthropod Museum)",
 "GadmGid is USA.5.56_1",
 "Geometry POLYGON((-119.26783 34.24051,-119.26431 34.22824,-119.17143 34.24888,-119.1206 34.28002,-119.08143 34.31863,-119.009 34.34997,-118.96409 34.36334,-118.90543 34.37748,-118.81313 34.38379,-118.6956 34.405,-118.77529 34.41245,-118.83033 34.3964,-118.89473 34.39698,-118.96849 34.37939,-119.0004 34.36946,-119.06366 34.35207,-119.10508 34.31263,-119.21143 34.24453,-119.26783 34.24051))",
 "TaxonKey is Carabidae"
 ]
}

 The dataset includes 41 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037960-241126133413365/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.3628256_d1.v1
title: MOESM3 of Time series analysis of malaria in Afghanistan: using ARIMA models to predict future trends in incidence

description: Additional file 4. Area-Averaged of Precipitation Rate monthly 0.25 ().
DOI: 10.6084/m9.figshare.c.3628238_d6.v1
title: Additional file 8 of Enhanceosome transcription factors preferentially dimerize with high mobility group proteins

description: List of human and mouse DNase I hypersensitivity datasets considered. (XLS 38 kb)
DOI: 10.6084/m9.figshare.c.3628250_d4.v1
title: Additional file 10: of Flowering time adaption in Swedish landrace pea (Pisum sativum L.)

description: Variation in the LF gene. (XLSX 16Â kb)
DOI: 10.25378/janelia.24256003
title: Manual organelle segmentations (crop206) 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>: crop206<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>: 39038 x 5566 x 37518 (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/crop206<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.24256003.v1
title: Manual organelle segmentations (crop206) 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>: crop206<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>: 39038 x 5566 x 37518 (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/crop206<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.3628250_d5.v1
title: Additional file 13: of Flowering time adaption in Swedish landrace pea (Pisum sativum L.)

description: P-values for Welch two sample t-tests between different accession types and expression levels for the LF and SN gene. (XLSX 33Â kb)
DOI: 10.6084/m9.figshare.c.3628178_d14.v1
title: Additional file 1: of Integrative genomic deconvolution of rheumatoid arthritis GWAS loci into gene and cell type associations

description: Contains the cis-eQTLs with FDR &lt;5Â %. (TXT 104041 kb)
DOI: 10.6084/m9.figshare.c.3628238_d8.v1
title: Additional file 6 of Enhanceosome transcription factors preferentially dimerize with high mobility group proteins

description: Comparison of human and mouse Gene Ontology enriched terms. Fisherâ  s exact test p-values for comparing human and mouse enriched Gene Ontology terms for the same dimer and for all pairs of cell types from human and mouse. (XLS 184 kb)
DOI: 10.6084/m9.figshare.c.3628259_d1.v1
title: Additional file 1: Table S1. of Sex-linked markers in the North American green frog (Rana clamitans) developed using DArTseq provide early insight into sex chromosome evolution

description: Specimen data including Yale Peabody Museum tag numbers for adult specimens used in this study. (XLSX 14Â kb)
DOI: 10.6084/m9.figshare.c.3628256_d4.v1
title: MOESM2 of Time series analysis of malaria in Afghanistan: using ARIMA models to predict future trends in incidence

description: Additional file 5. Area-Averaged of Relative Humidity at Surface (Daytime/Ascending) ().
DOI: 10.6084/m9.figshare.c.3628256_d5.v1
title: MOESM5 of Time series analysis of malaria in Afghanistan: using ARIMA models to predict future trends in incidence

description: Additional file 2. Area-Averaged of CMG 0.05 Deg Monthly EVI monthly 0.05 ().