cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5pq4g
title: MassIVE MSV000084880 - CLN5 involvement in mitochondrial dysfunction
title: CLN5 disease is a rare form of late-infantile neuronal ceroid lipofuscinosis (NCL) caused by mutations in the CLN5 gene that encodes a protein whose primary function and physiological roles remains unresolved. Emerging lines of evidence point to mitochondrial dysfunction in the onset and progression of several forms of NCL, offering new insights into putative biomarkers and shared biological processes. In this work, we employed cellular and murine models of the disease, in an effort to clarify disease pathways associated with CLN5 depletion. A mitochondria-focused quantitative proteomics approach followed by functional validations using cell biology and immunofluorescence assays revealed an impairment of mitochondrial functions in different CLN5 KO cell models and in Cln5 KO cerebral cortex, which well correlated with disease progression. A visible impairment of autophagy machinery coupled with alterations of key parameters of mitophagy activation process functionally linked CLN5 protein to the process of neuronal injury. The functional link between impaired cellular respiration and activation of mitophagy pathways in the human CLN5 disease condition was corroborated by translating organelle specific proteome findings to CLN5 patients fibroblasts. Our study highlights the involvement of CLN5 in activation of mitophagy and mitochondrial homeostasis offering new insights into alternative strategies towards the CLN5 disease treatment.
DOI: 10.5281/zenodo.3534087
title: Reconstructing the complex evolutionary history of the Papuasian Schefflera radiation through herbariomics

description: The Papuasia floristic region, comprising New Guinea and its surrounding islands, represents an ideal natural experiment in biogeography due to its high plant endemism, complex geological past, and location between the Southeast Asian archipelago and the Australian continent. However, the evolutionary history of Papuasian plants remains poorly understood because herbarium specimens from the region are scarce and scattered (limiting the usefulness of morphological analyses) and often several decades old (resulting in fragmented DNA that is unsuitable for traditional Sanger sequencing approaches). Our study capitalises on these historical herbarium specimens and novel high-throughput sequencing technology (Hyb-Seq, a combined target capture and genome skimming approach) to produce the first ever time-calibrated phylogeny for a mostly Papuasian plant lineage. 1_trim: Reads trimmed with Trimmomatic 2_1kp: Sequences from OneKP 2_caps: Nuclear sequences captured with HybPiper 2_genbank: Sequences downloaded from GenBank 2_ITS: ITS sequences captured with HybPiper 3_sequences: Sequences distributed according to gene region 4a_raw_alignments: Sequences aligned with UPP 4b_trimmed_alignments: Alignments trimmed with optrimAl 5_gene_trees: Gene trees inferred with IQ-Tree 6a_shrunk_taxa: Taxa removed from gene trees by TreeShrink 6b_shrunk_trees: Gene trees after taxa removed by TreeShrink 7a_raw_reduced_alignments: Alignments after taxa removed by TreeShrink re-aligned with UPP 7b_trimmed_reduced_alignments: Re-aligned alignments trimmed with optrimAl 8a_raw_reduced_trees: Gene trees inferred by IQ-Tree from re-aligned alignments 8b_shrunk_reduced trees: Gene trees inferred by IQ-Tree from re-aligned alignments after taxa removed by TreeShrink 9_species_trees: Species trees inferred with ASTRAL dating_area_code: Coded geographical regions used for BEAST divergence time estimation and ancestral area reconstruction Schefflera_dating: Sequences aligned with UPP and trimmed with optrimAl, used for BEAST divergence time estimation and ancestral area reconstruction
description: LP had funding from the Garfield Weston Foundation (Global Tree Seed Bank Project) and EU-SYNTHESYS (NL-TAF-6894). RC had funding from EU-SYNTHESYS (GB-TAF-6305). This article is based on a final paper by ZQS for his MSc in Plant and Fungal Taxonomy, Diversity and Conservation at Queen Mary, University of London and at RBG Kew, funded by a scholarship from the National Parks Board, Singapore.
DOI: 10.5281/zenodo.3534088
title: Reconstructing the complex evolutionary history of the Papuasian Schefflera radiation through herbariomics

description: The Papuasia floristic region, comprising New Guinea and its surrounding islands, represents an ideal natural experiment in biogeography due to its high plant endemism, complex geological past, and location between the Southeast Asian archipelago and the Australian continent. However, the evolutionary history of Papuasian plants remains poorly understood because herbarium specimens from the region are scarce and scattered (limiting the usefulness of morphological analyses) and often several decades old (resulting in fragmented DNA that is unsuitable for traditional Sanger sequencing approaches). Our study capitalises on these historical herbarium specimens and novel high-throughput sequencing technology (Hyb-Seq, a combined target capture and genome skimming approach) to produce the first ever time-calibrated phylogeny for a mostly Papuasian plant lineage. 1_trim: Reads trimmed with Trimmomatic 2_1kp: Sequences from OneKP 2_caps: Nuclear sequences captured with HybPiper 2_genbank: Sequences downloaded from GenBank 2_ITS: ITS sequences captured with HybPiper 3_sequences: Sequences distributed according to gene region 4a_raw_alignments: Sequences aligned with UPP 4b_trimmed_alignments: Alignments trimmed with optrimAl 5_gene_trees: Gene trees inferred with IQ-Tree 6a_shrunk_taxa: Taxa removed from gene trees by TreeShrink 6b_shrunk_trees: Gene trees after taxa removed by TreeShrink 7a_raw_reduced_alignments: Alignments after taxa removed by TreeShrink re-aligned with UPP 7b_trimmed_reduced_alignments: Re-aligned alignments trimmed with optrimAl 8a_raw_reduced_trees: Gene trees inferred by IQ-Tree from re-aligned alignments 8b_shrunk_reduced trees: Gene trees inferred by IQ-Tree from re-aligned alignments after taxa removed by TreeShrink 9_species_trees: Species trees inferred with ASTRAL dating_area_code: Coded geographical regions used for BEAST divergence time estimation and ancestral area reconstruction Schefflera_dating: Sequences aligned with UPP and trimmed with optrimAl, used for BEAST divergence time estimation and ancestral area reconstruction
description: LP had funding from the Garfield Weston Foundation (Global Tree Seed Bank Project) and EU-SYNTHESYS (NL-TAF-6894). RC had funding from EU-SYNTHESYS (GB-TAF-6305). This article is based on a final paper by ZQS for his MSc in Plant and Fungal Taxonomy, Diversity and Conservation at Queen Mary, University of London and at RBG Kew, funded by a scholarship from the National Parks Board, Singapore.
DOI: 10.6084/m9.figshare.11786976.v1
title: Additional file 10 of Linking belowground microbial network changes to different tolerance level towards Verticillium wilt of olive

description: Additional file 10: Table S5. Core mycobiome of 'Frantoio' (yellow cells) and 'Picual' (green cells) cultivars upon Verticillium dahliae inoculation. The shared core bacteriome is shown with light brown cells. Genera in red color belong to the RNA (functional community) core. In bold type letters main genera with relative abundance &gt; 1% (sum of both cultivars).
DOI: 10.7910/dvn/5offyj/lesyqs
title: WojWarn_Vicarious.csv

description: Dataset for vicarious contact study (Study 2)
DOI: 10.7910/dvn/5offyj/ugpuy5
title: WojWarn_Imagined.csv

description: Dataset for imagined contact (Study 3)
DOI: 10.7910/dvn/5offyj/wxknhz
title: WojWarn_Direct.csv

description: Dataset for direct and extended contact (Study 1)
DOI: 10.6084/m9.figshare.11786976
title: Additional file 10 of Linking belowground microbial network changes to different tolerance level towards Verticillium wilt of olive

description: Additional file 10: Table S5. Core mycobiome of 'Frantoio' (yellow cells) and 'Picual' (green cells) cultivars upon Verticillium dahliae inoculation. The shared core bacteriome is shown with light brown cells. Genera in red color belong to the RNA (functional community) core. In bold type letters main genera with relative abundance &gt; 1% (sum of both cultivars).
DOI: 10.21227/d3r5-2d86
title: hyperspectral Dataset

description: Hyperspectral data set includesIndian Pines and Salinas A
DOI: 10.6073/pasta/d57d4368931eda67f103b13f65acff99
title: AET01 Konza prairie grass reference evapotranspiration

description: Estimated evapotranspiration from a hypothetical short grass with a height of 0.12 m, a surface resistance of 70 s m-1, and an albedo of 0.23 (no water stress). Dataset contains daily total estimated evapotranspiration.
DOI: 10.5281/zenodo.3633607
title: Late Latin Charter Treebank 1 (LLCT1), version 1.2

description: Version 1.2 of the Late Latin Charter Treebank 1 (LLCT1). Contains a number of minor corrections, replaces the version 1.0 published at Zenodo in 2018. Early Medieval Latin documentary texts from Italy between AD 714-869 with morphological and syntactic annotation. Latin Dependency Treebank (LDT) compatible linguistic annotation, Prague style treebank format (PML). For a detailed description of the Late Latin Charter Treebanks, see the pre-print of the paper 'Late Latin Charter Treebank: contents and annotation', to be published in Corpora, 16:2 (2021), at the institutional repository of the University of Helsinki. See also Korkiakangas, T. and Lassila, M. (2013), <em>Abbreviations, fragmentary words, formulaic language: treebanking medieval charter material</em>, in Mambrini, F., Passarotti, M. and Sporleder, C., <em>Proceedings of the third workshop on annotation of corpora for research in the humanities</em>, pp. 61–72, and Korkiakangas, T. and Passarotti, M. (2011), <em>Challenges in Annotating Medieval Latin Charters</em>, in «Journal of Language Technology and Computational Linguistics», 26, pp. 103–114.
DOI: 10.6084/m9.figshare.11787036
title: Additional file 1 of Linking belowground microbial network changes to different tolerance level towards Verticillium wilt of olive

description: Additional file 1: Table S1. Codes and description of the studied samples. The same codes were used for bacterial and fungal communities.
DOI: 10.6084/m9.figshare.11787036.v1
title: Additional file 1 of Linking belowground microbial network changes to different tolerance level towards Verticillium wilt of olive

description: Additional file 1: Table S1. Codes and description of the studied samples. The same codes were used for bacterial and fungal communities.
DOI: 10.6084/m9.figshare.11787048
title: Additional file 3 of Linking belowground microbial network changes to different tolerance level towards Verticillium wilt of olive

description: Additional file 3: Table S2. Core bacteriome of 'Frantoio' (yellow cells) and 'Picual' (green cells) cultivars in non-inoculated conditions. The shared core bacteriome is shown with light brown cells. Genera in red color belong to the RNA (functional community) core. In bold type letters main genera with relative abundance &gt; 1% (sum of both cultivars).
DOI: 10.6084/m9.figshare.11787048.v1
title: Additional file 3 of Linking belowground microbial network changes to different tolerance level towards Verticillium wilt of olive

description: Additional file 3: Table S2. Core bacteriome of 'Frantoio' (yellow cells) and 'Picual' (green cells) cultivars in non-inoculated conditions. The shared core bacteriome is shown with light brown cells. Genera in red color belong to the RNA (functional community) core. In bold type letters main genera with relative abundance &gt; 1% (sum of both cultivars).
DOI: 10.6084/m9.figshare.11787054
title: Additional file 4 of Linking belowground microbial network changes to different tolerance level towards Verticillium wilt of olive

description: Additional file 4: Table S3. Core bacteriome of 'Frantoio' (yellow cells) and 'Picual' (green cells) cultivars upon Verticillium dahliae inoculation. The shared core bacteriome is shown with light brown cells. Genera in red color belong to the RNA (functional community) core. In bold type letters main genera with relative abundance &gt; 1% (sum of both cultivars).
DOI: 10.6084/m9.figshare.11787054.v1
title: Additional file 4 of Linking belowground microbial network changes to different tolerance level towards Verticillium wilt of olive

description: Additional file 4: Table S3. Core bacteriome of 'Frantoio' (yellow cells) and 'Picual' (green cells) cultivars upon Verticillium dahliae inoculation. The shared core bacteriome is shown with light brown cells. Genera in red color belong to the RNA (functional community) core. In bold type letters main genera with relative abundance &gt; 1% (sum of both cultivars).
DOI: 10.6073/pasta/50b16c2b240588377adca4c8b1f7e181
title: AMC01 Growing season microclimate by topographic position for annually-burned and 4-yr burned watersheds at Konza Prairie

description: Dataset contains 30min averages of many variables used to record changes in microclimatic conditions. Microclimate sensor stations were arrayed in discrete topographic positions (upland, slope, lowland) in 4 watersheds: 1D, 1B, 4B, 4F. No microclimate sensor stations were present in upland-1D or lowland-4B because eddy flux towers are present in these locations. Similar microclimate data is available from these flux towers during the time period of this study.
DOI: 10.6084/m9.figshare.11787078
title: Additional file 9 of Linking belowground microbial network changes to different tolerance level towards Verticillium wilt of olive

description: Additional file 9: Table S4. Core mycobiome of 'Frantoio' (yellow cells) and 'Picual' (green cells) cultivars in non-inoculated conditions. The shared core bacteriome is shown with light brown cells. Genera in red color belong to the RNA (functional community) core. In bold type letters main genera with relative abundance &gt; 1% (sum of both cultivars).
DOI: 10.6084/m9.figshare.11787078.v1
title: Additional file 9 of Linking belowground microbial network changes to different tolerance level towards Verticillium wilt of olive

description: Additional file 9: Table S4. Core mycobiome of 'Frantoio' (yellow cells) and 'Picual' (green cells) cultivars in non-inoculated conditions. The shared core bacteriome is shown with light brown cells. Genera in red color belong to the RNA (functional community) core. In bold type letters main genera with relative abundance &gt; 1% (sum of both cultivars).
DOI: 10.7910/dvn/ir3ujo/selmmu
title: DATA-2016-KNOWLEDGE-OF-HPV.tab

description: This data is part of a Cross-sectional and analytical study conducted at the University of São Paulo Medicine School, in 2016.
DOI: 10.5281/zenodo.3633731
title: rule based ocr dataset

description: The zip file contains 7 datasets for rule-based ocr. each image is named in the format: "ground truth"_"unique index".jpg
DOI: 10.6073/pasta/8b3abff4c01ff1f4cfe444070d9d4815
title: ASR01 Short-term assessment of effects of burning on infiltration, runoff, and sediment and nutrient loss on Tallgrass Prairie using rainfall simulation, 1989

description: Rainfall simulation and overland flow experiments were performed on four plots at a single site on Konza from May to August, 1989. Two plots were treated with a late spring burn and two plots were left unburned. Five simulations were performed on burned plots and three simulatons on unburned plots. Each simulation consisted of a “dry run” followed 24 hours later by a 'wet run'. The dry run consisted of rainfall applied at an intesity of approximately 60 mm/hour. The wet run was the same as a dry run, except when the rainfall was complete, overland flow was applied directly at the top of the plots to simulate run off coming from upslope. Measurements taken include overland flow velocity, water application rate, runoff, hydrograph, water flow depth, sediment content, nitrogen and phosphorus content and percent ground cover (See A.B. Duell, Effects of burning on infiltration, overland flow, and sediment loss on tallgrass prairie, M.S. thesis, Kansas State University, 82pp. for further details).
DOI: 10.5281/zenodo.3633732
title: rule based ocr dataset

description: The zip file contains 7 datasets for rule-based ocr. each image is named in the format: "ground truth"_"unique index".jpg
DOI: 10.6084/m9.figshare.11784837
title: Additional file 1 of Exploration of miRNAs in Neolamarckia cadamba and their potential cross-kingdom functions

description: Additional file 1: Supplemental Table 1. Statistics of reads by sequencing (Expression profile of conserved and novel miRNAs in N. cadamba).
DOI: 10.6084/m9.figshare.11784837.v1
title: Additional file 1 of Exploration of miRNAs in Neolamarckia cadamba and their potential cross-kingdom functions

description: Additional file 1: Supplemental Table 1. Statistics of reads by sequencing (Expression profile of conserved and novel miRNAs in N. cadamba).
DOI: 10.14272/bpvdqfvacpjflx-uhfffaoysa-n.2
title: 9-[2,4,6-tri(carbazol-9-yl)-3,5-bis(1H-tetrazol-5-yl)phenyl]carbazole
title: InChI=1S/C56H34N12/c1-9-25-41-33(17-1)34-18-2-10-26-42(34)65(41)51-49(55-57-61-62-58-55)52(66-43-27-11-3-19-35(43)36-20-4-12-28-44(36)66)54(68-47-31-15-7-23-39(47)40-24-8-16-32-48(40)68)53(50(51)56-59-63-64-60-56)67-45-29-13-5-21-37(45)38-22-6-14-30-46(38)67/h1-32H,(H,57,58,61,62)(H,59,60,63,64)

description: This dataset contains experimental data from a sample (9-[2,4,6-tri(carbazol-9-yl)-3,5-bis(1H-tetrazol-5-yl)phenyl]carbazole, InChI=1S/C56H34N12/c1-9-25-41-33(17-1)34-18-2-10-26-42(34)65(41)51-49(55-57-61-62-58-55)52(66-43-27-11-3-19-35(43)36-20-4-12-28-44(36)66)54(68-47-31-15-7-23-39(47)40-24-8-16-32-48(40)68)53(50(51)56-59-63-64-60-56)67-45-29-13-5-21-37(45)38-22-6-14-30-46(38)67/h1-32H,(H,57,58,61,62)(H,59,60,63,64)). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) mass spectrometry (MS) infrared absorption spectroscopy (IR)
DOI: 10.14272/bpvdqfvacpjflx-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) (9-[2,4,6-tri(carbazol-9-yl)-3,5-bis(1H-tetrazol-5-yl)phenyl]carbazole)
title: InChI=1S/C56H34N12/c1-9-25-41-33(17-1)34-18-2-10-26-42(34)65(41)51-49(55-57-61-62-58-55)52(66-43-27-11-3-19-35(43)36-20-4-12-28-44(36)66)54(68-47-31-15-7-23-39(47)40-24-8-16-32-48(40)68)53(50(51)56-59-63-64-60-56)67-45-29-13-5-21-37(45)38-22-6-14-30-46(38)67/h1-32H,(H,57,58,61,62)(H,59,60,63,64)

description: dataset for mass spectrometry (MS) HRMS (APCI, C56H35N12) Calcd 875.3102 [M+H]+, Found 875.3077 [M+H]+.
DOI: 10.14272/bpvdqfvacpjflx-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (9-[2,4,6-tri(carbazol-9-yl)-3,5-bis(1H-tetrazol-5-yl)phenyl]carbazole)
title: InChI=1S/C56H34N12/c1-9-25-41-33(17-1)34-18-2-10-26-42(34)65(41)51-49(55-57-61-62-58-55)52(66-43-27-11-3-19-35(43)36-20-4-12-28-44(36)66)54(68-47-31-15-7-23-39(47)40-24-8-16-32-48(40)68)53(50(51)56-59-63-64-60-56)67-45-29-13-5-21-37(45)38-22-6-14-30-46(38)67/h1-32H,(H,57,58,61,62)(H,59,60,63,64)

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, DMSO-d6) δ = 7.88 (d, J = 7.7 Hz, 2H), 7.54 (d, J = 7.6 Hz, 4H), 7.41–7.28 (m, 8H), 7.28–7.17 (m, 4H), 7.03 (t, J = 7.4 Hz, 2H), 6.92–6.85 (m, 4H), 6.81 (t, J = 7.4 Hz, 4H), 6.69–6.57 (m, 4H). Missing Signal (2H) due to broad signals. The spectrum contains minor impurities (5%).
DOI: 10.14272/bpvdqfvacpjflx-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (9-[2,4,6-tri(carbazol-9-yl)-3,5-bis(1H-tetrazol-5-yl)phenyl]carbazole)
title: InChI=1S/C56H34N12/c1-9-25-41-33(17-1)34-18-2-10-26-42(34)65(41)51-49(55-57-61-62-58-55)52(66-43-27-11-3-19-35(43)36-20-4-12-28-44(36)66)54(68-47-31-15-7-23-39(47)40-24-8-16-32-48(40)68)53(50(51)56-59-63-64-60-56)67-45-29-13-5-21-37(45)38-22-6-14-30-46(38)67/h1-32H,(H,57,58,61,62)(H,59,60,63,64)

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (101 MHz, DMSO) δ = 141.3 (2C), 139.8 (4C), 138.8 (4C), 137.5 (2C), 135.9 (2C), 124.9 (2C), 124.2 (2C), 123.6 (4C), 122.3 (2C), 122.2 (2C), 122.2 (4C), 119.3 (4C), 119.1 (4C), 119.0 (4C), 118.9 (2C), 118.8 (2C), 118.5 (2C), 111.5 (2C), 111.2 (4C), 110.8 (2C).
DOI: 10.14272/bpvdqfvacpjflx-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) (9-[2,4,6-tri(carbazol-9-yl)-3,5-bis(1H-tetrazol-5-yl)phenyl]carbazole)
title: InChI=1S/C56H34N12/c1-9-25-41-33(17-1)34-18-2-10-26-42(34)65(41)51-49(55-57-61-62-58-55)52(66-43-27-11-3-19-35(43)36-20-4-12-28-44(36)66)54(68-47-31-15-7-23-39(47)40-24-8-16-32-48(40)68)53(50(51)56-59-63-64-60-56)67-45-29-13-5-21-37(45)38-22-6-14-30-46(38)67/h1-32H,(H,57,58,61,62)(H,59,60,63,64)

description: dataset for infrared absorption spectroscopy (IR) IR (ATR) ṽ = 3047 (vw), 2985 (vw), 2930 (vw), 2789 (vw), 1724 (w), 1689 (w), 1597 (w), 1448 (m), 1373 (w), 1334 (w), 1312 (w), 1269 (w), 1226 (m), 1153 (w), 1121 (w), 1038 (w), 846 (w), 744 (s), 723 (m), 620 (w), 583 (w), 548 (w), 528 (w), 470 (w), 443 (w), 424 (w).
DOI: 10.6073/pasta/ab4f9d5891fdbc98e6d96e796e93299f
title: ASS01 Suspended sediments in streams impacted by prescribed buring, grazing and woody vegetation removal at Konza Prairie

description: To determine effects of rotational burning and riparian vegetation removal on suspended solid concentrations in streams. Two sites are burned with a frequency of 2 (N02B) and 4 (N04D) years and grazed by bison. In 2011, N02B will have woody riparian vegetation removed along the entire stream length. The Shane Creek site (SHAN) is currently ungrazed and burned most years. In 2011 the treatment will be switched to grazing and burning of 1/3 of the watershed every year. The data include before and during-treatment sampling for both experiments.
DOI: 10.6084/m9.figshare.11784843
title: Additional file 2 of Exploration of miRNAs in Neolamarckia cadamba and their potential cross-kingdom functions

description: Additional file 2: Supplemental Table 2. Reverse transcript primers for miRNAs and Highly enriched KEGG pathways for putative human targets.
DOI: 10.6084/m9.figshare.11784843.v1
title: Additional file 2 of Exploration of miRNAs in Neolamarckia cadamba and their potential cross-kingdom functions

description: Additional file 2: Supplemental Table 2. Reverse transcript primers for miRNAs and Highly enriched KEGG pathways for putative human targets.
DOI: 10.6084/m9.figshare.8175254.v3
title: Microclimatic variables influence the temporal dynamics of an anuran metacommunity in a non-stationary way

description: Understanding the temporal dynamics of communities is crucial to elucidate how communities respond to climate change. The activities of ectothermic vertebrates are sensitive to climatic variations due to their sensibility to temperature and humidity. However, the factors that affect the temporal dynamics of communities of terrestrial ectothermic vertebrate remain poorly known. Here, we tested how microclimatic variables influence anuran species composition and if species abundances are stable through time in a metacommunity in the Atlantic Forest of southern Brazil. Using a multivariate method, called STATICO, we described the stable patterns and the spatio-temporal changes of the relationship between species composition and the microclimatic variables. We found that species turnover showed an asynchronous spatial pattern, while species composition exhibited a non-stationary response to climate, which was mainly related to temperature, rainfall, and humidity during the spring and summer. These results suggest storage effect as the main coexistence mechanism at play in the metacommunity, in which the asynchronous fluctuations promote species coexistence under a scenario of environmental variability.<br><br>