cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22350565
title: DSMZ-MBNMS Vent and Non-Vent community composition from images and environmental data set

description: Abstract DSMZ-MBNMS Outcrop Vent and Non Vent community composition from still images collected with ROV Hercules on NA117 contains the observations of community to the family level in 8 vent and non-vent zones around the Octopus Garden and Octocone. Also included are location, subtrate, zone type, TASSE variable values: Easterness, Mean Depth, Northerness, Topographic position index (RDMV), Slope, Standard Deviation, and Surface Depth, BRESS geomorphon, and averate temperature. Methods Observational data was collected by manual identification of 1-minute interval still images in the DSMZ-MBNSM NA117 videos available at: https://www.youtube.com/playlist?list=PL41b0O3MiKnZjVYKiC8zunwc7tGS9L2Az . Observations were identified with the aid of deep sea guides*: HURL, NOAA, and MBARI. BRESS and TASSE variables were extraction for bathymetric grids availble via Marine Geoscience Data System under Compilations as OctopusGarden_MBARI. Substrate was identifed manually. Temperature data was collected in NA-117 with ROV Hercules. Vent and Non-Vent zones were defined by temperature. Environmental and Community data for each image sample were complined in QGIS. Data is identifed as Q for qualitative and C for catagorical. Substrate Catagories: 0: Sheet, 1 Bare Rock, 2 Carbonate, 3 Blocky sheet pillow lobate, 4 Lobate, 5 Pillow, 6 Sediment, 7 Lobate Pillow Mix, 8 Lobate Broken Pillow Mix, 9 Lobate Pillow Contact, 10 Sediment Lobate Contact, 11 Lobate Sheet Mix, 12 Lobate Sediment Mix, 13 Lobate Sheet Contact, 14 Sediment Pillow Mix. BRESS Categories: 1 Flat, 2 Footslope, 3 Ridge, 4 Shoulder, 5 Slope, 6 Valley. Vent/Non Vent Catagories: 1 Non-Vent, 2 Vent. University of Hawai‘i Undersea Research Laboratory (HURL) Deep-sea Animal Identification Guide. Available from http://www.soest.hawaii.edu/<br> HURL/HURLarchive/guide.php US Department of Commerce, N. (2018, August 23). Data: Animal Identification Guide: NOAA Office of Ocean Exploration and Research. Retrieved October 26, 2020, from https://oceanexplorer.noaa.gov/okeanos/animal_guide/animal_guide.html Jacobsen Stout, N., L. Kuhnz, L. Lundsten, B. Schlining, K. Schlining, and S. von Thun (eds.). The Deep-Sea Guide (DSG). Monterey Bay Aquarium Research Institute (MBARI). Consulted on: 2022-07-01.
DOI: 10.6084/m9.figshare.22350565.v2
title: DSMZ-MBNMS Vent and Non-Vent community composition from images and environmental data set

description: Abstract DSMZ-MBNMS Outcrop Vent and Non Vent community composition from still images collected with ROV Hercules on NA117 contains the observations of community to the family level in 8 vent and non-vent zones around the Octopus Garden and Octocone. Also included are location, subtrate, zone type, TASSE variable values: Easterness, Mean Depth, Northerness, Topographic position index (RDMV), Slope, Standard Deviation, and Surface Depth, BRESS geomorphon, and averate temperature. Methods Observational data was collected by manual identification of 1-minute interval still images in the DSMZ-MBNSM NA117 videos available at: https://www.youtube.com/playlist?list=PL41b0O3MiKnZjVYKiC8zunwc7tGS9L2Az . Observations were identified with the aid of deep sea guides*: HURL, NOAA, and MBARI. BRESS and TASSE variables were extraction for bathymetric grids availble via Marine Geoscience Data System under Compilations as OctopusGarden_MBARI. Substrate was identifed manually. Temperature data was collected in NA-117 with ROV Hercules. Vent and Non-Vent zones were defined by temperature. Environmental and Community data for each image sample were complined in QGIS. Data is identifed as Q for qualitative and C for catagorical. Substrate Catagories: 0: Sheet, 1 Bare Rock, 2 Carbonate, 3 Blocky sheet pillow lobate, 4 Lobate, 5 Pillow, 6 Sediment, 7 Lobate Pillow Mix, 8 Lobate Broken Pillow Mix, 9 Lobate Pillow Contact, 10 Sediment Lobate Contact, 11 Lobate Sheet Mix, 12 Lobate Sediment Mix, 13 Lobate Sheet Contact, 14 Sediment Pillow Mix. BRESS Categories: 1 Flat, 2 Footslope, 3 Ridge, 4 Shoulder, 5 Slope, 6 Valley. Vent/Non Vent Catagories: 1 Non-Vent, 2 Vent. University of Hawai‘i Undersea Research Laboratory (HURL) Deep-sea Animal Identification Guide. Available from http://www.soest.hawaii.edu/<br> HURL/HURLarchive/guide.php US Department of Commerce, N. (2018, August 23). Data: Animal Identification Guide: NOAA Office of Ocean Exploration and Research. Retrieved October 26, 2020, from https://oceanexplorer.noaa.gov/okeanos/animal_guide/animal_guide.html Jacobsen Stout, N., L. Kuhnz, L. Lundsten, B. Schlining, K. Schlining, and S. von Thun (eds.). The Deep-Sea Guide (DSG). Monterey Bay Aquarium Research Institute (MBARI). Consulted on: 2022-07-01.
DOI: 10.6084/m9.figshare.22350565.v1
title: DSMZ-MBNMS Vent and Non-Vent community composition from images and environmental data set

description: Abstract DSMZ-MBNMS Outcrop Vent and Non Vent community composition from still images collected with ROV Hercules on NA117 contains the observations of community to the family level in 8 vent and non-vent zones around the Octopus Garden and Octocone. Also included are location, subtrate, zone type, TASSE variable values: Easterness, Mean Depth, Northerness, Topographic position index (RDMV), Slope, Standard Deviation, and Surface Depth, BRESS geomorphon, and averate temperature. Methods Observational data was collected by manual identification of 1-minute interval still images in the DSMZ-MBNSM NA117 videos available at: https://www.youtube.com/playlist?list=PL41b0O3MiKnZjVYKiC8zunwc7tGS9L2Az . Observations were identified with the aid of deep sea guides*: HURL, NOAA, and MBARI. BRESS and TASSE variables were extraction for bathymetric grids availble via Marine Geoscience Data System under Compilations as OctopusGarden_MBARI. Substrate was identifed manually. Temperature data was collected in NA-117 with ROV Hercules. Vent and Non-Vent zones were defined by temperature. Environmental and Community data for each image sample were complined in QGIS. Data is identifed as Q for qualitative and C for catagorical. Substrate Catagories: 0: Sheet, 1 Bare Rock, 2 Carbonate, 3 Blocky sheet pillow lobate, 4 Lobate, 5 Pillow, 6 Sediment, 7 Lobate Pillow Mix, 8 Lobate Broken Pillow Mix, 9 Lobate Pillow Contact, 10 Sediment Lobate Contact, 11 Lobate Sheet Mix, 12 Lobate Sediment Mix, 13 Lobate Sheet Contact, 14 Sediment Pillow Mix. BRESS Categories: 1 Flat, 2 Footslope, 3 Ridge, 4 Shoulder, 5 Slope, 6 Valley. Vent/Non Vent Catagories: 1 Non-Vent, 2 Vent. University of Hawai‘i Undersea Research Laboratory (HURL) Deep-sea Animal Identification Guide. Available from http://www.soest.hawaii.edu/<br> HURL/HURLarchive/guide.php US Department of Commerce, N. (2018, August 23). Data: Animal Identification Guide: NOAA Office of Ocean Exploration and Research. Retrieved October 26, 2020, from https://oceanexplorer.noaa.gov/okeanos/animal_guide/animal_guide.html Jacobsen Stout, N., L. Kuhnz, L. Lundsten, B. Schlining, K. Schlining, and S. von Thun (eds.). The Deep-Sea Guide (DSG). Monterey Bay Aquarium Research Institute (MBARI). Consulted on: 2022-07-01.
DOI: 10.5281/zenodo.7779188
title: SJSU Doppler Lidar Data

description: Continuous scanning mode (CSM) data files from a Halo Photonics Doppler lidar
DOI: 10.5281/zenodo.7779187
title: SJSU Doppler Lidar Data

description: Continuous scanning mode (CSM) data files from a Halo Photonics Doppler lidar
DOI: 10.34740/kaggle/dsv/5257510
title: Balochi Language to English Translation Dataset
DOI: 10.5281/zenodo.7779180
title: Self-consistent Models of Y Dwarf Atmospheres with Water Clouds and Disequilibrium Chemistry

description: This data set consists of 1d radiative-convective equilibrium models intended for Y Dwarfs or cool giant planets with negligible levels of external irradiation, computed using coolTLUSTY and a recently updated set of molecular absorption cross sections. Models span effective temperatures of 200 - 600 K, metallicities of [-0.5], [0], and [+0.5] dex, and surface gravities of log10(g / [cm/s^2]) = 3.5 - 5.0, and are computed for both cloudy and clear cases, in thermochemical equilibrium and with nonequilibrium carbon and nitrogen chemistry due to vertical mixing. Models extend from 0.5 microns to 300 microns with 30,000 frequency points evenly spaced in ln(frequency), which corresponds to an average resolving power of R ~ 4340. See README.txt for a description of file formats, naming conventions, and decompressed sizes. A more thorough summary of the assumptions made in computing these models and a walk-through of their properties can be found in Lacy & Burrows 2023 "Self-consistent Models of Y Dwarf Atmospheres with Water Clouds and Disequilibrium Chemistry" accepted for publication in the Astrophysical Journal and available on arXiv. If you make use of these models please cite that publication, along with this zenodo data set.
DOI: 10.5281/zenodo.7779179
title: Self-consistent Models of Y Dwarf Atmospheres with Water Clouds and Disequilibrium Chemistry

description: This data set consists of 1d radiative-convective equilibrium models intended for Y Dwarfs or cool giant planets with negligible levels of external irradiation, computed using coolTLUSTY and a recently updated set of molecular absorption cross sections. Models span effective temperatures of 200 - 600 K, metallicities of [-0.5], [0], and [+0.5] dex, and surface gravities of log10(g / [cm/s^2]) = 3.5 - 5.0, and are computed for both cloudy and clear cases, in thermochemical equilibrium and with nonequilibrium carbon and nitrogen chemistry due to vertical mixing. Models extend from 0.5 microns to 300 microns with 30,000 frequency points evenly spaced in ln(frequency), which corresponds to an average resolving power of R ~ 4340. See README.txt for a description of file formats, naming conventions, and decompressed sizes. A more thorough summary of the assumptions made in computing these models and a walk-through of their properties can be found in Lacy & Burrows 2023 "Self-consistent Models of Y Dwarf Atmospheres with Water Clouds and Disequilibrium Chemistry" accepted for publication in the Astrophysical Journal and available on arXiv. If you make use of these models please cite that publication, along with this zenodo data set.
DOI: 10.5281/zenodo.7779234
title: UNR Doppler lidar data

description: University of Nevada, Reno Doppler lidar data files during Langdon Mountain Prescribed Fire on November 7th 2019
DOI: 10.5281/zenodo.7779233
title: UNR Doppler lidar data

description: University of Nevada, Reno Doppler lidar data files during Langdon Mountain Prescribed Fire on November 7th 2019
DOI: 10.5281/zenodo.7778369
title: FMD Cattle

description: Images containing foot and mouth disease of cattle
DOI: 10.5281/zenodo.7778370
title: FMD Cattle

description: Images containing foot and mouth disease of cattle
DOI: 10.5281/zenodo.7779246
title: FMD Cattle

description: Images containing foot and mouth disease of cattle
DOI: 10.5281/zenodo.6949702
title: Global ice drilling and archive location data for select ice cores

description: UPDATED VERSION AVAILABLE: please see 10.5281/zenodo.7076469 This page includes ice drill site information and ice core repository information for select ice cores retrieved between 1958 and 2022. Included data are not representative of all ice cores drilled during this time period, and they are not even representative of all ice core samples collected and maintained by all of the contributing facilities. Data are presented as they were provided by contributing facilities in 2022, when they were used to generate a figure for an article in Past Global Changes Magazine. The data describe ice core drilling sites (latitude, longitude, elevation, site name), ice core samples (bottom depth, bottom age, core diameter, core completion date, corresponding publications), and ice core storage facilities (latitude, longitude, name). Contributing facilities include the following: Alfred Wegener Institute (Germany), Australian Antarctic Division (Australia), Byrd Polar Center - University of Ohio (United States of America), Canadian Ice Core Lab (Canada), Chiba University (Japan), Institute of Environmental Geosciences - University of Grenoble (France), Institute of Low Temperature Science - University of Hokkaido (Japan), Institute of Polar Science and Engineering - Jilin University (China), Karakoram International University (Pakistan), Lanzhou Institute of Glaciology and Geocryology (China), Nagoya University (Japan), National Institute of Polar Research (Japan), National Science Foundation Ice Core Facility (United States of America), New Zealand National Ice Core Facility (New Zealand, Physics of Ice Climate and Earth - University of Copenhagen (Denmark), Polar Research Institute of China (China), Research Institute for Humanity and Nature (Japan), and Tibet University. We are grateful to each of these facilities for contributing details of their ice core collections for this work.
description: {"references": ["https://icecores.org/inventory, accessed April 2022", "https://www.iceandclimate.nbi.ku.dk/data/samplingprocedure, accessed July 2022", "personal correspondence with Alison Criscitiello, March 2022", "personal correspondence with Baiqing Xu, August 2022", "personal correspondence with Ellen and Lonnie Thompson, July 2022", "personal correspondence with Gregory Teste, April 2022", "personal correspondence with Holly Winton, August 2022", "personal correspondence with Johannes Freitag, April 2022", "personal correspondence with Koji Fujita, June 2022", "personal correspondence with Kumiko Azuma, June 2022", "personal correspondence with Pavel Talalay, June 2022", "personal correspondence with Sarah Jackson, August 2022", "personal correspondence with Yeongcheol Han, June 2022"]}
DOI: 10.6084/m9.figshare.22350508
title: Dorado Outcrop Vent and Non-Vent community composition from JVV images

description: Abstract Dorado Outcrop Vent and Non Vent community composition from JVV images contains the observations of community to the family level in 8 vent and non-vent zones around the Dorado Outcrop. Also included are location, subtrate, zone type, TASSE variable values: Easterness, Mean Depth, Northerness, Topographic position index (RDMV), Slope, Standard Deviation, and Surface Depth, BRESS geomorphon, and averate temperature. Methods Observational data was collected by manual identification of images in the Jason Virtual Van (http://4dgeo.whoi.edu/webdata/virtualvan/html/VV-at26-09/index.html). Observations were identified with the aid of deep sea guides*: HURL, NOAA, and MBARI. BRESS and TASSE variables were extraction for bathymetric grids availble via NCEI (Metadata ID: gov.noaa.ngdc.mgg.multibeam:AT26-09-auv_Multibeam MBES). Substrate was identifed manually. Temperature data was collected in AT26-09 with AUV Sentry. Vent and Non-Vent zones were defined by temperature. Environmental and Community data for each image sample were complined in QGIS. Data is identifed as Q for qualitative and C for catagorical. Substrate Catagories: 0: Sheet, 1 Bare Rock, 2 Carbonate, 3 Blocky sheet pillow lobate, 4 Lobate, 5 Pillow, 6 Sediment, 7 Lobate Pillow Mix, 8 Lobate Broken Pillow Mix, 9 Lobate Pillow Contact, 10 Sediment Lobate Contact, 11 Lobate Sheet Mix, 12 Lobate Sediment Mix, 13 Lobate Sheet Contact, 14 Sediment Pillow Mix. BRESS Categories: 1 Flat, 2 Footslope, 3 Ridge, 4 Shoulder, 5 Slope, 6 Valley. Vent/Non Vent Catagories: 1 Non-Vent, 2 Vent. <br> University of Hawai‘i Undersea Research Laboratory (HURL) Deep-sea Animal Identification Guide. Available from http://www.soest.hawaii.edu/<br> HURL/HURLarchive/guide.php <br> US Department of Commerce, N. (2018, August 23). Data: Animal Identification Guide: NOAA Office of Ocean Exploration and Research. Retrieved October 26, 2020, from https://oceanexplorer.noaa.gov/okeanos/animal_guide/animal_guide.html <br> Jacobsen Stout, N., L. Kuhnz, L. Lundsten, B. Schlining, K. Schlining, and S. von Thun (eds.). The Deep-Sea Guide (DSG). Monterey Bay Aquarium Research Institute (MBARI). Consulted on: 2022-07-01.
DOI: 10.6084/m9.figshare.22350508.v2
title: Dorado Outcrop Vent and Non-Vent community composition from JVV images

description: Abstract Dorado Outcrop Vent and Non Vent community composition from JVV images contains the observations of community to the family level in 8 vent and non-vent zones around the Dorado Outcrop. Also included are location, subtrate, zone type, TASSE variable values: Easterness, Mean Depth, Northerness, Topographic position index (RDMV), Slope, Standard Deviation, and Surface Depth, BRESS geomorphon, and averate temperature. Methods Observational data was collected by manual identification of images in the Jason Virtual Van (http://4dgeo.whoi.edu/webdata/virtualvan/html/VV-at26-09/index.html). Observations were identified with the aid of deep sea guides*: HURL, NOAA, and MBARI. BRESS and TASSE variables were extraction for bathymetric grids availble via NCEI (Metadata ID: gov.noaa.ngdc.mgg.multibeam:AT26-09-auv_Multibeam MBES). Substrate was identifed manually. Temperature data was collected in AT26-09 with AUV Sentry. Vent and Non-Vent zones were defined by temperature. Environmental and Community data for each image sample were complined in QGIS. Data is identifed as Q for qualitative and C for catagorical. Substrate Catagories: 0: Sheet, 1 Bare Rock, 2 Carbonate, 3 Blocky sheet pillow lobate, 4 Lobate, 5 Pillow, 6 Sediment, 7 Lobate Pillow Mix, 8 Lobate Broken Pillow Mix, 9 Lobate Pillow Contact, 10 Sediment Lobate Contact, 11 Lobate Sheet Mix, 12 Lobate Sediment Mix, 13 Lobate Sheet Contact, 14 Sediment Pillow Mix. BRESS Categories: 1 Flat, 2 Footslope, 3 Ridge, 4 Shoulder, 5 Slope, 6 Valley. Vent/Non Vent Catagories: 1 Non-Vent, 2 Vent. <br> University of Hawai‘i Undersea Research Laboratory (HURL) Deep-sea Animal Identification Guide. Available from http://www.soest.hawaii.edu/<br> HURL/HURLarchive/guide.php <br> US Department of Commerce, N. (2018, August 23). Data: Animal Identification Guide: NOAA Office of Ocean Exploration and Research. Retrieved October 26, 2020, from https://oceanexplorer.noaa.gov/okeanos/animal_guide/animal_guide.html <br> Jacobsen Stout, N., L. Kuhnz, L. Lundsten, B. Schlining, K. Schlining, and S. von Thun (eds.). The Deep-Sea Guide (DSG). Monterey Bay Aquarium Research Institute (MBARI). Consulted on: 2022-07-01.
DOI: 10.6084/m9.figshare.22350508.v1
title: Dorado Outcrop Vent and Non Vent community composition from JVV images

description: Abstract Dorado Outcrop Vent and Non Vent community composition from JVV images contains the observations of community to the family level in 8 vent and non-vent zones around the Dorado Outcrop. Also included are location, subtrate, zone type, TASSE variable values: Easterness, Mean Depth, Northerness, Topographic position index (RDMV), Slope, Standard Deviation, and Surface Depth, BRESS geomorphon, and averate temperature. Methods Observational data was collected by manual identification of images in the Jason Virtual Van (http://4dgeo.whoi.edu/webdata/virtualvan/html/VV-at26-09/index.html). Observations were identified with the aid of deep sea guides*: HURL, NOAA, and MBARI. BRESS and TASSE variables were extraction for bathymetric grids availble via NCEI (Metadata ID: gov.noaa.ngdc.mgg.multibeam:AT26-09-auv_Multibeam MBES). Substrate was identifed manually. Temperature data was collected in AT26-09 with ROV Jason. Vent and Non-Vent zones were defined by temperature. Environmental and Community data for each image sample were complined in QGIS. Data is identifed as Q for qualitative and C for catagorical. Substrate Catagories: 0: Sheet, 1 Bare Rock, 2 Carbonate, 3 Blocky sheet pillow lobate, 4 Lobate, 5 Pillow, 6 Sediment, 7 Lobate Pillow Mix, 8 Lobate Broken Pillow Mix, 9 Lobate Pillow Contact, 10 Sediment Lobate Contact, 11 Lobate Sheet Mix, 12 Lobate Sediment Mix, 13 Lobate Sheet Contact, 14 Sediment Pillow Mix. BRESS Categories: 1 Flat, 2 Footslope, 3 Ridge, 4 Shoulder, 5 Slope, 6 Valley. Vent/Non Vent Catagories: 1 Non-Vent, 2 Vent. <br> University of Hawai‘i Undersea Research Laboratory (HURL) Deep-sea Animal Identification Guide. Available from http://www.soest.hawaii.edu/<br> HURL/HURLarchive/guide.php <br> US Department of Commerce, N. (2018, August 23). Data: Animal Identification Guide: NOAA Office of Ocean Exploration and Research. Retrieved October 26, 2020, from https://oceanexplorer.noaa.gov/okeanos/animal_guide/animal_guide.html <br> Jacobsen Stout, N., L. Kuhnz, L. Lundsten, B. Schlining, K. Schlining, and S. von Thun (eds.). The Deep-Sea Guide (DSG). Monterey Bay Aquarium Research Institute (MBARI). Consulted on: 2022-07-01.
DOI: 10.6084/m9.figshare.22350694
title: ChatGPT conversation: Chrome Extension: Get Text.

description: A conversation using OpenAI chat: 03/28/2023 12:16:33
DOI: 10.6084/m9.figshare.22350694.v1
title: ChatGPT conversation: Chrome Extension: Get Text.

description: A conversation using OpenAI chat: 03/28/2023 12:16:33
DOI: 10.6084/m9.figshare.22350700
title: ChatGPT conversation: Chrome Extension: Get Text.

description: A conversation using OpenAI chat: 03/28/2023 12:18:26
DOI: 10.18739/a2pg1hq1p
title: Arctic Urban Risks and Adaptations (AURA): a co-production framework for addressing multiple changing environmental hazards 2020-2022

description: This project is part of Navigating the New Arctic (NNA) which addresses converging scientific challenges in the rapidly changing Arctic. Specifically, the goal of this project, is to better understand the effects climate change imposes on society and the built environment and develop risk assessments for future adaptive planning. This dataset provides ground temperature data in the active layer and near-surface permafrost to provide a baseline for assessing the future changes in the near-surface temperatures in the natural and disturbed environment in the vicinity of the city of Fairbanks, Alaska. Collected ground temperature data are intended to help researchers, communities and public with ongoing activities to mitigate a threat of thawing permafrost on the local and regional scale, and to provide spatial data for validation of climate scenario models and temperature reanalysis approaches.
DOI: 10.6084/m9.figshare.22233313
title: Fecal metagenomes and metagenome-assembled genomes from the South American Sea Lion (Otaria flavescens) from the Comau Fjord (42 ºS), Patagonia

description: Supplemental data to dataset of <strong>Fecal metagenomes and metagenome-assembled genomes from the South American Sea Lion (</strong><em><strong>Otaria flavescens</strong></em><strong>) from the Comau Fjord (42</strong> <strong>ºS), Patagonia</strong> <br> MAGs_stats.xlsx - Describes MAGs read and contig statistics, completeness, contamination, and assigned taxonomy. <br> Sample_stats.xlsx - Describes sample related statistics and provides information regarding accession numbers.
DOI: 10.6084/m9.figshare.22233313.v4
title: Fecal metagenomes and metagenome-assembled genomes from the South American Sea Lion (Otaria flavescens) from the Comau Fjord (42 ºS), Patagonia

description: Supplemental data to dataset of <strong>Fecal metagenomes and metagenome-assembled genomes from the South American Sea Lion (</strong><em><strong>Otaria flavescens</strong></em><strong>) from the Comau Fjord (42</strong> <strong>ºS), Patagonia</strong> <br> MAGs_stats.xlsx - Describes MAGs read and contig statistics, completeness, contamination, and assigned taxonomy. <br> Sample_stats.xlsx - Describes sample related statistics and provides information regarding accession numbers.
DOI: 10.6084/m9.figshare.22233313.v3
title: Fecal metagenomes and metagenome-assembled genomes from the South American Sea Lion (Otaria flavescens) from the Comau Fjord (42 ºS), Patagonia

description: Supplemental data to dataset of <strong>Fecal metagenomes and metagenome-assembled genomes from the South American Sea Lion (</strong><em><strong>Otaria flavescens</strong></em><strong>) from the Comau Fjord (42</strong> <strong>ºS), Patagonia</strong> <br> MAGs_stats.xlsx - Describes MAGs read and contig statistics, completeness, contamination, and assigned taxonomy. <br>