cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18408285
title: R scripts and analysis workflow for quantitative microbiome profiling of Three Gorges Dam sediments

description: This repository contains the R scripts, analysis workflow, and code for generating figures associated with the research article:

"Quantitative profiling of bacterial community restructuring and functional potential variation across upstream and downstream sediments of the Three Gorges Dam" (submitted to Environmental Technology & Innovation)

Contents:



R scripts for quantitative microbiome data processing and statistical analysis

Code for alpha and beta diversity analysis

Scripts for differential abundance analysis

Functional potential prediction and visualization code

Figure generation scripts


Study Overview: This study employed quantitative microbiome profiling (QMP) to evaluate bacterial community structure and functional potential in sediments collected from upstream (GDK, XXH, MH) and downstream (HLM, NJG) sites of the Three Gorges Dam, 21 years after dam operation commenced. The analysis revealed significant reductions in bacterial abundance, alpha diversity, and functional genes associated with carbon, nitrogen, sulfur, and phosphorus cycling in downstream sediments.

Usage: These scripts are provided to ensure the reproducibility and transparency of our analyses. Users can adapt the code for similar quantitative microbiome studies.

Citation: If you use these scripts, please cite both this repository and the associated publication.
DOI: 10.25346/s6/lvrrae/eeggfo
title: drone_0304_00.mat

description: File uploaded via API
DOI: 10.5281/zenodo.18408284
title: R scripts and analysis workflow for quantitative microbiome profiling of Three Gorges Dam sediments

description: This repository contains the R scripts, analysis workflow, and code for generating figures associated with the research article:

"Quantitative profiling of bacterial community restructuring and functional potential variation across upstream and downstream sediments of the Three Gorges Dam" (submitted to Environmental Technology & Innovation)

Contents:



R scripts for quantitative microbiome data processing and statistical analysis

Code for alpha and beta diversity analysis

Scripts for differential abundance analysis

Functional potential prediction and visualization code

Figure generation scripts


Study Overview: This study employed quantitative microbiome profiling (QMP) to evaluate bacterial community structure and functional potential in sediments collected from upstream (GDK, XXH, MH) and downstream (HLM, NJG) sites of the Three Gorges Dam, 21 years after dam operation commenced. The analysis revealed significant reductions in bacterial abundance, alpha diversity, and functional genes associated with carbon, nitrogen, sulfur, and phosphorus cycling in downstream sediments.

Usage: These scripts are provided to ensure the reproducibility and transparency of our analyses. Users can adapt the code for similar quantitative microbiome studies.

Citation: If you use these scripts, please cite both this repository and the associated publication.
DOI: 10.25346/s6/lvrrae/4yvbel
title: drone_0340_03.mat

description: File uploaded via API
DOI: 10.15468/dl.qgtfp3
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Perca fluviatilis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1855",
 "Year is less than or equal to 1859"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004528-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/lvrrae/o1pa0d
title: drone_0130_03.mat

description: File uploaded via API
DOI: 10.5281/zenodo.14231978
title: OSU-UVic hosing run with LGM initial conditions (LGM Full)

description: This directory contains model code, input, output, and scripts from a hosing (freshwater forcing in the North Atlantic) simulation with the OSU-UVic climate model (version 2.9.10) to investigate the effect of changes in the Atlantic Meridional Overturning Circulation (AMOC) on carbon and carbon-13 components in the ocean as described in Schmittner and Boling (2025) and Schmittner (2025).

Model code is in the code/ subdirectory.Model input data is in the data/ subdirectory and in the control.in and mk.in files.Model output data is in the tavg*nc and tsi*nc files.Ferret scripts used to produce the figures are in the ferret/ subdirectory.

A more detailed description about the OSU-UVic climate model is available at https://github.com/OSU-CEOAS-Schmittner/UVic2.9 and https://doi.org/10.5281/zenodo.11224826.

Andreas Schmittner (andreas.schmittner@oregonstate.edu)

References:Schmittner, A. and M. Boling (2025) Impact of Atlantic Meridional Overturning Circulation Collapse on Carbon Components in the Ocean, Global Biogeochemical Cycles, 39, e2025GB008526, doi: 10.1029/2025GB008526.Schmittner, A. (2025) Impact of Atlantic Meridional Overturning Circulation Collapse on Carbon-13 Components in the Ocean, Global Biogeochemical Cycles, 39, e2025GB008527,  doi: 10.1029/2025GB008527.
DOI: 10.5281/zenodo.14231977
title: OSU-UVic hosing run with LGM initial conditions (LGM Full)

description: This directory contains model code, input, output, and scripts from a hosing (freshwater forcing in the North Atlantic) simulation with the OSU-UVic climate model (version 2.9.10) to investigate the effect of changes in the Atlantic Meridional Overturning Circulation (AMOC) on carbon and carbon-13 components in the ocean as described in Schmittner and Boling (2025) and Schmittner (2025).

Model code is in the code/ subdirectory.Model input data is in the data/ subdirectory and in the control.in and mk.in files.Model output data is in the tavg*nc and tsi*nc files.Ferret scripts used to produce the figures are in the ferret/ subdirectory.

A more detailed description about the OSU-UVic climate model is available at https://github.com/OSU-CEOAS-Schmittner/UVic2.9 and https://doi.org/10.5281/zenodo.11224826.

Andreas Schmittner (andreas.schmittner@oregonstate.edu)

References:Schmittner, A. and M. Boling (2025) Impact of Atlantic Meridional Overturning Circulation Collapse on Carbon Components in the Ocean, Global Biogeochemical Cycles, 39, e2025GB008526, doi: 10.1029/2025GB008526.Schmittner, A. (2025) Impact of Atlantic Meridional Overturning Circulation Collapse on Carbon-13 Components in the Ocean, Global Biogeochemical Cycles, 39, e2025GB008527,  doi: 10.1029/2025GB008527.
DOI: 10.25346/s6/lvrrae/irxoiw
title: drone_0034_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/a2nhjc
title: drone_0401_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/gpz263
title: drone_0024_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/poauka
title: drone_2001_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/3zdmx3
title: drone_0014_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/snw2hd
title: drone_3004_03.mat

description: File uploaded via API
DOI: 10.5061/dryad.fttdz0967
title: CT data and 3D models of phocoenid periotic and bony labyrinth (CCNHM 1913)

description: High-resolution computed tomography (CT) scan data and 3D digital model of
 the periotic bone from phocoenid (porpoise) fossil specimen CCNHM 1913,
 and 3D digital model of bony labyrinth extracted from the interior of the
 periotic. The dataset includes raw CT scan images (TIFF stack) with
 scanning parameters and voxel size information, plus processed 3D models
 of the complete periotic and isolated bony labyrinth in STL format. The
 periotic bone houses the inner ear structures critical for understanding
 hearing capabilities, phylogenetic relationships, and evolutionary
 adaptations in cetacean fossils. These digital models enable detailed
 morphometric analyses and comparative studies without handling the
 original specimen, supporting research in marine mammal evolution,
 echolocation, and inner ear morphology.
description: # CT data and 3D models of phocoenid periotic and bony labyrinth (CCNHM
 1913) Dataset DOI:
 [10.5061/dryad.fttdz0967](https://doi.org/10.5061/dryad.fttdz0967) ##
 Description of the data and file structure This dataset contains CT scan
 data and 3D models of the periotic bone from the porpoise fossil CCNHM
 1913. The periotic bone houses the inner ear structures in cetaceans and
 is critical for understanding hearing capabilities, phylogenetic
 relationships, and evolutionary adaptations. The TIFF image stack contains
 the CT data obtained using the North Star Imaging (NSI) CT scanner located
 at Vanderbilt University Earth and Environmental Sciences. The TIFF stack
 was derived from the original NSI format using the proprietary NSI
 software. Using VGStudioMax, a 3D model was segmented and extracted of the
 complete periotic bone, and further refined in Meshlab to isolate the
 periotic bone by removing extraneous mesh components. Avizo was used to
 generate (segment) the 3D model of the bony labyrinth (the cavity within
 the periotic that contained the inner ear structures). ### Files and
 variables #### File: CCNHM1913_bonylabyrinth.stl **Description:** 3D
 surface model of the bony labyrinth (inner ear cavity) extracted from
 within the periotic bone, in STL format. Suitable for 3D visualization and
 morphometric analysis. #### File: CCNHM1913wholeperiotic.stl
 **Description:** 3D surface model of the complete periotic bone in STL
 format. Can be opened in standard 3D software (MeshLab, Blender, etc.).
 #### **File: CCNHM_1913_tiffs.zip** **Description:** TIFF image stack of
 CT scan data, including geometry details and scanning parameters
 (Techniques-Geometry.txt and Geometry_Report__Geometry_.txt respectively).
 The images can be processed in ImageJ, Fiji, 3DSlicer, Dragonfly, or other
 imaging software. ## Code/software Compatible with standard 3D
 visualization and CT imaging software.
DOI: 10.25346/s6/lvrrae/3fsinl
title: drone_0130_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/0fhflm
title: drone_0013_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/jbnqox
title: drone_4200_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/8jjcim
title: drone_2040_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/gpvhyk
title: drone_0021_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/hbwliu
title: drone_2400_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/lng38v
title: drone_0320_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/w9x2yz
title: drone_4001_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/k1jnag
title: drone_0023_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/pywjxl
title: drone_1200_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/ivhl0q
title: drone_4002_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/s1vxcd
title: drone_0043_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/ruwnpf
title: drone_0302_04.mat

description: File uploaded via API
DOI: 10.15468/dl.3nuhmn
title: Occurrence Download

description: A dataset containing 1319 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lysiloma latisiliquum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1319 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004529-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/lvrrae/yboqcf
title: drone_0301_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/4tfv1w
title: drone_4020_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/bg1sqr
title: drone_0031_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/dp1ick
title: drone_2004_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/17iezv
title: drone_2400_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/kypjvo
title: drone_0230_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/zkppht
title: drone_0103_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/9v3okh
title: drone_4300_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/2b1xxb
title: drone_2004_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/ns6okl
title: drone_3200_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/njcvmj
title: drone_0203_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/bv6msy
title: drone_3400_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/d1wnjp
title: drone_4010_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/20b6jx
title: drone_0402_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/nbanch
title: drone_3001_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/rgbvp7
title: drone_0031_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/mytqjo
title: drone_2100_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/svplxk
title: drone_0024_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/h7lsjt
title: drone_1040_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/v3d7gi
title: drone_2001_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/vbqsvo
title: drone_0340_02.mat

description: File uploaded via API
DOI: 10.15468/dl.eq9224
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-5000.0",
 "TaxonKey is Firmiana colorata"
 ]
}

 The dataset includes 101 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004531-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/lvrrae/mgwgmj
title: drone_4001_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/bj9taw
title: drone_2040_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/abuetz
title: drone_2030_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/fcq3hi
title: drone_4100_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/ppcuuf
title: drone_1002_04.mat

description: File uploaded via API
DOI: 10.15468/dl.8am2up
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cardiomya knudseni",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 25 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004534-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/lvrrae/06klqf
title: drone_3100_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/boxvb9
title: drone_1200_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/kgaz8q
title: drone_0013_03.mat

description: File uploaded via API
DOI: 10.15468/dl.dnjdw3
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Perca fluviatilis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1860",
 "Year is less than or equal to 1864"
 ]
}

 The dataset includes 62 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004535-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/lvrrae/hbztfb
title: drone_4200_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/fdcdku
title: drone_1200_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/nxhgse
title: drone_0104_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/tm2xit
title: drone_0204_01.mat

description: File uploaded via API
DOI: 10.15468/dl.e8bkkj
title: Occurrence Download

description: A dataset containing 412 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-5000.0",
 "TaxonKey is Flacourtia indica"
 ]
}

 The dataset includes 412 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004532-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/lvrrae/uno1o5
title: drone_0024_00.mat

description: File uploaded via API
DOI: 10.15468/dl.s3fy4v
title: Occurrence Download

description: A dataset containing 419 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-5000.0",
 "TaxonKey is Flueggea leucopyrus"
 ]
}

 The dataset includes 419 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004533-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/lvrrae/0fof60
title: drone_0024_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/cnxwwo
title: drone_0034_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/thbpkn
title: drone_3200_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/tmleyq
title: drone_0240_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/owfxlp
title: drone_0021_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/rofgl1
title: drone_4030_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/ij8ss3
title: drone_0403_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/ouq9qv
title: drone_0402_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/bhxf4p
title: drone_2010_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/tdacdw
title: drone_0201_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/5yx1g2
title: drone_2300_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/udydem
title: drone_0042_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/xwpg4f
title: drone_3001_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/sdupub
title: drone_1400_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/uq4lfz
title: drone_4003_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/mvcisg
title: drone_3001_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/yo29eu
title: drone_3001_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/rh4xkm
title: drone_3020_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/teliac
title: drone_0430_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/jggj6w
title: drone_0201_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/wsh0bv
title: drone_0410_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/xjhxkj
title: drone_0103_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/5w1es7
title: drone_2010_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/specno
title: drone_2030_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/cmv2zf
title: drone_4010_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/45klew
title: drone_4020_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/hblqdf
title: drone_4300_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/aegb1y
title: drone_0410_04.mat

description: File uploaded via API
DOI: 10.5061/dryad.sqv9s4nhj
title: Data from: Evaluating the roles of signaling and camouflage in the evolution of iris color in <em>Tyranni</em> passerines

description: Iris color is a conspicuous and diverse trait across animals, but its
 evolutionary drivers are poorly understood. In over 1000 species of
 Tyranni passerines, we tested hypotheses relating iris color to signaling
 and camouflage, their main putative functions. We expected that, if
 playing a role in signaling, brighter irises would be positively
 associated with the strength of social and sexual selection as well as
 signal conspicuousness, i.e., larger relative eye sizes and contrasting,
 darker plumage colors around the eyes. If aiding in camouflage, darker
 irises would be associated with higher vulnerability to predation, darker
 habitats, larger relative eye sizes, and matching, darker plumage colors
 around the eyes. In support of the signaling hypothesis, we found that
 brighter irises are associated with darker plumage around the eyes, larger
 body sizes, territoriality, and sexual size dimorphism. In support of the
 camouflage hypothesis, we found that darker irises are associated with
 higher vulnerability to predation (exposed nests, migratory behavior, and
 terrestrial lifestyles) and larger relative eye sizes, which are
 associated with darker habitats. Our findings suggest that bright irises
 are social/sexual signals mostly associated with species under weaker
 selection, favoring camouflage, which has implications for sensory ecology
 and macroevolutionary patterns of visual signaling.
description: # Data from: Evaluating the roles of signaling and camouflage in the
 evolution of iris color in *Tyranni* passerines Data and code associated
 with the paper:  "Evaluating the roles of signaling and camouflage in
 the evolution of iris color in Tyranni passerines"co-athored by
 Gabriel Macedo, Yuchen Chen, Eamon C. Corbett, Rafael S. Marcondes,
 Gustavo A. Bravo, Cibele Biondo, & Sara E. Lipshutz published in the
 journal Evolution List of files in the folder Dryad_Data_and_Code.zip *
 T400F_AOS_HowardMoore_sppnames.tre: Phylogenetic tree of Tyranni
 passerines by Harvey et al., 2020 (source:
 [https://zenodo.org/records/3976115](https://zenodo.org/records/3976115)).
 - tyranni_iris_color_data.xlsx: Spreadsheet with the data needed to
 replicate the analyses of the paper. Contains a "legend" sheet
 with descriptions of all variables. * tyranni_iris_color.R: R code for the
 main analyses of the paper. - tyranni_iris_color_imputation.R: R code for
 the imputation analyses. * tyranni_data_eye_sizes_photo_specimen.xlsx:
 Spreadsheet with the data needed to replicate the comparison of eye sizes
 in photographs vs. specimens. Contains a "legend" sheet with
 descriptions of all variables. Specimen data by Ausprey & Ritland,
 2024 (source:
 [https://doi.org/10.5061/dryad.3xsj3txq7](https://doi.org/10.5061/dryad.3xsj3txq7)). - tyranni_compare_eye_size_photo_specimen.R: R code for the comparison of eye sizes in photographs vs. specimens.
DOI: 10.25346/s6/lvrrae/y454vt
title: drone_0402_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/vieax7
title: drone_0320_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/nc0fv8
title: drone_3040_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/bnrvxz
title: drone_0204_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/daqpjk
title: drone_1030_03.mat

description: File uploaded via API