cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25378/janelia.24247081.v1
title: Manual organelle segmentations (crop133) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of mouse liver (jrc_mus-liver)

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, lysosome lumen, lysosome membrane, endosome lumen, cytosol, lysosome, endosome, vesicle, mitochondria, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective in jrc_mus-liver 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>: crop133<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>: 45598 x 58798 x 34198 (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, 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_mus-liver/jrc_mus-liver.zarr/recon-1/labels/groundtruth/crop133<br><br><b>Source (EM) dataset ID</b>: jrc_mus-liver<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>: 101.98 x 101.82 x 71.46 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.16913047<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_mus-liver<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.3626252_d4.v1
title: Additional file 12: Table S12. of Mycoplasma non-coding RNA: identification of small RNAs and targets

description: Primers sequence from M. hyopneumoniae genome. (XLS 25Â kb)
DOI: 10.6084/m9.figshare.c.3626252_d5.v1
title: Additional file 5: Table S5. of Mycoplasma non-coding RNA: identification of small RNAs and targets

description: Mycoplasma flocculare sRNAs sequence predicted. (XLSX 51Â kb)
DOI: 10.6084/m9.figshare.c.3626252_d6.v1
title: Additional file 8: Table S8. of Mycoplasma non-coding RNA: identification of small RNAs and targets

description: Target prediction for the sRNAs from M. hyopneumoniae. (XLS 17737Â kb)
DOI: 10.6084/m9.figshare.c.3626252_d7.v1
title: Additional file 7: Table S7. of Mycoplasma non-coding RNA: identification of small RNAs and targets

description: Mycoplasma hyorhinis sRNAs sequence predicted. (XLSX 51Â kb)
DOI: 10.6084/m9.figshare.c.3626252_d9.v1
title: Additional file 1: Table S1. of Mycoplasma non-coding RNA: identification of small RNAs and targets

description: Small RNA (sRNA) predicted in Mycoplasma hyopneumoniae 7448. (XLSX 54Â kb)
DOI: 10.6084/m9.figshare.c.3626261_d6.v1
title: Additional file 11: Table S3. of A DUF-246 family glycosyltransferase-like gene affects male fertility and the biosynthesis of pectic arabinogalactans

description: ELISA absorbance values for RG-I fractions from NbPAGR-silenced and virus-infected, control N. benthamiana plants as well as 35S::PAGR-YFP and wild type Arabidopsis plants probed with a diverse array of plant cell wall glycan-directed monoclonal antibodies. (XLSX 21 kb)
DOI: 10.6084/m9.figshare.c.3626252_d10.v1
title: Additional file 10: Table S10. of Mycoplasma non-coding RNA: identification of small RNAs and targets

description: Target prediction for the sRNAs from M. hyorhinis. (XLS 1925Â kb)
DOI: 10.6084/m9.figshare.c.3626252_d11.v1
title: Additional file 2: Table S2. of Mycoplasma non-coding RNA: identification of small RNAs and targets

description: Mycoplasma hyopneumoniae sRNAs sequence and features predicted. (XLSX 15Â kb)
DOI: 10.6084/m9.figshare.c.3626252_d12.v1
title: Additional file 3: Table S3. of Mycoplasma non-coding RNA: identification of small RNAs and targets

description: Transcriptional analysis of the predicted M. hyopneumoniae sRNAs from different culture cultivations. (XLSX 69Â kb)
DOI: 10.5519/qd.brvtz33q
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (301 records)
DOI: 10.6084/m9.figshare.c.3626369_d5.v1
title: Additional file 1: of The diversification of the basic leucine zipper family in eukaryotes correlates with the evolution of multicellularity

description: Table S1. bZIP dataset. First tab contains databases information, method of protein retrieval and references. Following tabs include the full list of the protein sequences used in this study, accession information and, when relevant, family assignment. Table S2. Statistical support for family assignment. We reported the boostrap values (NJ: neighbor-joining and ML: maximum likelihood) and posterior probabilities (BI: Bayesian inference) that supported the assignment of each protein to a bZIP family, listed on the left. Taxa are listed at the top. (ZIP 151 kb)
DOI: 10.6084/m9.figshare.c.3626396_d1.v1
title: Additional file 5: of Evidence for the role of transposons in the recruitment of cis-regulatory motifs during the evolution of C4 photosynthesis

description: Potentially recruited network-derived motifs detected within transcription factor binding sites (TFBS). (XLSX 27 kb)
DOI: 10.6084/m9.figshare.c.3626396_d2.v1
title: Additional file 4: of Evidence for the role of transposons in the recruitment of cis-regulatory motifs during the evolution of C4 photosynthesis

description: Candidate acceptors and donors of the recruited network-derived motifs, along with a brief description of each acceptors. Only those donor genes that were not farther than 10 genes from the acceptor gene are listed. (XLSX 110 kb)
DOI: 10.6084/m9.figshare.c.3626396_d4.v1
title: Additional file 2: of Evidence for the role of transposons in the recruitment of cis-regulatory motifs during the evolution of C4 photosynthesis

description: Potentially recruited network-derived motifs related to C4 photosynthesis. (XLSX 15 kb)
DOI: 10.25378/janelia.24246781
title: Manual organelle segmentations (crop125) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of mouse liver (jrc_mus-liver)

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_mus-liver 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>: crop125<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>: 60870 x 83302 x 32126 (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_mus-liver/jrc_mus-liver.zarr/recon-1/labels/groundtruth/crop125<br><br><b>Source (EM) dataset ID</b>: jrc_mus-liver<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>: 101.98 x 101.82 x 71.46 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.16913047<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_mus-liver<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.24246781.v1
title: Manual organelle segmentations (crop125) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of mouse liver (jrc_mus-liver)

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_mus-liver 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>: crop125<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>: 60870 x 83302 x 32126 (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_mus-liver/jrc_mus-liver.zarr/recon-1/labels/groundtruth/crop125<br><br><b>Source (EM) dataset ID</b>: jrc_mus-liver<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>: 101.98 x 101.82 x 71.46 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.16913047<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_mus-liver<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: 10.5517/ccdc.csd.cc24963s
title: CCDC 1975044: Experimental Crystal Structure Determination

description: Related Article: Sanjeeva Thunga, Neetika Singh, Madhu Inapanuri, Hari Prasad Kokatla|2024|Org.Biomol.Chem.|22|8787|doi:10.1039/D4OB01356E
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: 10.5517/ccdc.csd.cc2496f3
title: CCDC 1975054: Experimental Crystal Structure Determination

description: Related Article: Sanjeeva Thunga, Neetika Singh, Madhu Inapanuri, Hari Prasad Kokatla|2024|Org.Biomol.Chem.|22|8787|doi:10.1039/D4OB01356E
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: 10.5517/ccdc.csd.cc26nkyd
title: CCDC 2045564: Experimental Crystal Structure Determination

description: Related Article: Jing Li, Bao-Sen Xu, Shao-Zhe Yi, Xing-Long Zhang, Le-Le Zhao, Yu Meng, Wen-Jin Wang, Bao-Ning Li|2025|Dalton Trans.|54|357|doi:10.1039/D4DT02771J
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: 10.5517/ccdc.csd.cc27nmj2
title: CCDC 2075404: Experimental Crystal Structure Determination

description: Related Article: Jing Li, Bao-Sen Xu, Shao-Zhe Yi, Xing-Long Zhang, Le-Le Zhao, Yu Meng, Wen-Jin Wang, Bao-Ning Li|2025|Dalton Trans.|54|357|doi:10.1039/D4DT02771J
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: 10.5517/ccdc.csd.cc2h0pdm
title: CCDC 2294570: Experimental Crystal Structure Determination

description: Related Article: Miljan Z. Ćorović, Madeleine A. Ehweiner, Peter E. Hartmann, Felix Sbüll, Ferdinand Belaj, A. Daniel Boese, Jesse Lepluart, Martin L. Kirk, Nadia C. Mösch-Zanetti|2024|J.Am.Chem.Soc.|146|32392|doi:10.1021/jacs.4c07724
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: 10.5517/ccdc.csd.cc2h0pfn
title: CCDC 2294571: Experimental Crystal Structure Determination

description: Related Article: Miljan Z. Ćorović, Madeleine A. Ehweiner, Peter E. Hartmann, Felix Sbüll, Ferdinand Belaj, A. Daniel Boese, Jesse Lepluart, Martin L. Kirk, Nadia C. Mösch-Zanetti|2024|J.Am.Chem.Soc.|146|32392|doi:10.1021/jacs.4c07724
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: 10.6084/m9.figshare.c.3626396_d6.v1
title: Additional file 3: of Evidence for the role of transposons in the recruitment of cis-regulatory motifs during the evolution of C4 photosynthesis

description: Potentially recruited network-derived motifs located within the overlapping region of transposable elements and the promoter region of the donor gene. (XLSX 1074 kb)
DOI: 10.5517/ccdc.csd.cc2h0pgp
title: CCDC 2294572: Experimental Crystal Structure Determination

description: Related Article: Miljan Z. Ćorović, Madeleine A. Ehweiner, Peter E. Hartmann, Felix Sbüll, Ferdinand Belaj, A. Daniel Boese, Jesse Lepluart, Martin L. Kirk, Nadia C. Mösch-Zanetti|2024|J.Am.Chem.Soc.|146|32392|doi:10.1021/jacs.4c07724
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: 10.5517/ccdc.csd.cc2l11wl
title: CCDC 2384299: 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: 10.5517/ccdc.csd.cc2l11xm
title: CCDC 2384300: 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: 10.6084/m9.figshare.c.3626411_d2.v1
title: Additional file 1: Table S1. of Iroquois homeobox 2 suppresses cellular motility and chemokine expression in breast cancer cells

description: Genes in primary breast tumors showing exhibited correlation with IRX2 expression and functional annotation of these genes. SAM-analysis (Significance Analysis of Microarrays) on and functional annotation was used on a large published data set of breast cancer patients (GSE6532). (XLS 79 kb)
DOI: 10.5281/zenodo.10038359
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: 10.5281/zenodo.10038360
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 2022. 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: 10.5281/zenodo.10451677
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 2022. 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.