Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
127
datasets available to search
ShareScore release 0.9.0
Dataset results
127 results for “gradualism”
Abrupt and Gradual Salt Application Mesocosm Experiment Zooplankton, Phytoplankton, Periphyton and Abiotic Data, Troy, NY, 2018.
Increasing chloride concentrations from road salt applications are an emerging threat to freshwater diversity in cold weather regions. Few studies have focused on how road salt affects freshwater biota and even fewer have focused on how the rate of exposure alters organism responses. We hypothesized that road salt concentrations delivered gradually would result in slower population declines and more rapid rebounds due to evolved tolerance. To test this hypothesis, we examined the responses of freshwater lake organisms to four environmentally relevant salt concentrations (100, 230, 860, and 1600 mg Cl−/L) that differed in application rate (abrupt vs. gradual). We used outdoor aquatic mesocosms containing zooplankton, filamentous algae, phytoplankton, periphyton, and macroinvertebrates. We found negative effects of road salt on zooplankton and macroinvertebrate abundance, but positive effects on phytoplankton and periphyton, likely resulting from reduced grazing. Only rarely did we detect a difference between abrupt vs gradual salt applications and the directions of those differences were not consistent. This affirms the need for additional research on how road salt pollution entering ecosystems at different frequencies and magnitudes will alter freshwater communities.
Corticothalamic communication under analgesia, sedation and gradual ischemia: a multimodal model of controlled gradual cerebral ischemia in pig
Open the record for dataset details and reuse information.
Planetesimal gradual accretion and thermal dynamo results
<p>Numerical modelling code used to produce data and figures in the publication Dodds et al., 2020 'The thermal evolution of planetesimals during accretion and differentiation: consequences for dynamo generation by thermally-driven convection.' </p> <p>Data used to produced figures in above publication also included here.</p> <p>Please contact Kathryn Dodds with any questions.</p>
Morphological cladogenesis and terminal dwarfing in extinct Late Miocene through Pliocene menardiform globorotalids: New complementary data to «Evolutionary prospection in the Neogene planktic foraminifer Globorotalia menardii and related forms from ODP Hole 925B (Céara Rise, western tropical Atlantic): evidence for gradual evolution superimposed by long distance dispersal ?, Swiss J. Palaeontology, 135:205-248»
<p>A complementary morphometric data set is provided to the study of Knappertsbusch (2016) about the shell evolution of menardiform globorotalids (Neogene planktic foraminifera) at ODP Hole 925B from Céara Rise in the the western tropical Atlantic. The new measurements confirm splitting of extinct <em>Globorotalia multicamerata</em> from the <em>G. menardii</em> stock via the intermediate form <em>G. limbata</em> between about 6 Ma to 5 Ma ago. After splitting both <em>G. limbata</em> and <em>G. multicamerata</em> show gradual divergence from <em>G. menardii</em> in several shell parameters illustrating morphological cladogenesis. Between 2.88 Ma and 2.59 Ma the same parameters show a concerted trend towards reduced values indicating pre-extinction dwarfing. A comparison with published literature data of Delta<sup>18</sup>O trends between species, that populated the mixed layer (<em>Globigerinoides sacculifer</em>) and the thermocline layer (<em>Neogloboquadrina dutertrei</em>) at this location during those times suggests, that both divergence and subsequent dwarfing trends were probably the results of changes in upper watermass stratification.</p> <p>The complementary data set is provided in six zipped archives APPENDIX A, B, C, D, E and F (zipped with free software 7-Zip 22.00 (x64), 2022-06-15 from 1999-2022 Igor Pawlow), together with a description of the data in file Report_925B_suppl_1.pdf.</p>
Chromosomal inversions from an initial ecotypic divergence drive a gradual repeated radiation of Galápagos beetles
<p>Island faunas exhibit some of the most iconic examples where similar forms repeatedly evolve within different islands. Yet, whether these deterministic evolutionary trajectories within islands are driven by an initial, singular divergence and the subsequent exchange of individuals and adaptive genetic variation between islands remains unclear. Here, we address this issue using a gradual, repeated evolution of low-dispersive highland ecotypes from a dispersive lowland ecotype of <em>Calosoma</em> beetles along the island progression of the Galápagos. We show that repeated highland adaptation involved selection on multiple shared alleles within extensive chromosomal inversions that originated from an initial adaptation event on the oldest island. These highland inversions first spread through dispersal of highland individuals. Subsequent admixture with the widely distributed lowland ecotype resulted in polymorphic dispersive populations from which the highland populations evolved on the youngest islands. Our findings emphasize the significance of an ancient divergence in driving repeated evolution and highlight how a mixed contribution of inter-island colonization and within-island evolution can shape parallel species communities on islands.</p>
Data for: Intrinsically Disordered Proteins form Condensates with Gradually Collapsing Conformations at the Interface
<h3>Data for: Intrinsically Disordered Proteins form Condensates with Gradually Collapsing Conformations at the Interface</h3> <p>We ran simulations for four different systems:</p> <ul> <li>WT: A1-LCD WT (N=137), wild-type (WT) sequence of the low-complexity domain (LCD) of the heterogeneous nuclear ribonucleoprotein A1 (hnRNPA1), with electrostatic interactions, at temperature T=260K</li> <li>WT_noEL_T260: A1-LCD WT (N=137), without electrostatic interactions, at temperature T=260K</li> <li>WT_noEL_T290: A1-LCD WT (N=137), without electrostatic interactions, at temperature T=290K</li> <li>HP: homopolymer consisting of prolines (N=137), at temperature T=550</li> </ul> <p>For every system, we ran five independent simulations over 5µs (1000 frames) and used the last 900 frames (4.5µs) for our analysis.</p> <p>This data repository consists of<br> (1) folders containing the data for every seperate run (*_i, i=1,2,3,4,5) in simulation units<br> (2) folders containing the averaged data of all five runs (*_AVG), converted to SI units<br> (3) a droplet folder, containing the data (square radius of gyration and asphericity) for the whole droplet (for all four systems, all five runs)<br>Units are also clarified in each file's header.</p> <p>The simulation units can be converted to SI units via:</p> <ul> <li>Distance: D = 0.45nm</li> <li>Mass: M = 57.05amu</li> <li>Energy: epsilon = 0.2 kcal/mol</li> </ul> <p> </p> <p>Details for (1) and (2):<br>Each folder (*_i, i=1,2,3,4,5, and *_AVG) contains the following subfolders and files:</p> <p><strong>Ree:</strong></p> <ul> <li>distribCos2_all.dat: distribution of cos^2(θ_{ee}) of the whole chains, where θ_{ee} is the angle between the polymer's center r_c and the chain’s end-to-end vector Ree [Fig. S3b, Fig. S6b, Fig. S9b, Fig. S12b]</li> <li>distribCos2_segment_i.dat: distribution of cos^2(θ_{ee,s}) of segment seg_i, where θ_{ee,s} is the angle between the segment's center r_{c,s} and the segment’s end-to-end vector R_{ee,s} [Fig. S4d, Fig. S7d, Fig. S10d, Fig. S13d]</li> <li>distribCos2_segments_all.dat: distribution of cos^2(θ_{ee,s}) of all segments seg_i, where θ_{ee,s} is the angle between the segment's center r_{c,s} and the segment’s end-to-end vector R_{ee,s} [Fig. S4d, Fig. S7d, Fig. S10d, Fig. S13d]</li> <li>distribMonomer_all.dat: distribution of the monomers [Fig. 1, Fig. S4c, Fig. S7c, Fig. S10c, Fig. S13c]</li> <li>distribPolymer_all.dat: distribution of the polymers (whole chains, binned via polymer center position) [Fig. 1, Fig. S4c, Fig. S7c, Fig. S10c, Fig. S13c]</li> <li>distribPolymerEndPos.dat: distribution of the polymer end positions (whole chains) [Fig. S4c, Fig. S7c, Fig. S10c, Fig. S13c]</li> <li>distribPolymerEndPos_segment_i.dat: distribution of the polymer segment end positions of seg_i</li> <li>distribPolymerEndPos_segment_all.dat: distribution of the polymer segment end positions of all segments</li> <li>distribPolymerRee2_all.dat: distribution of Ree^2 (whole chains), binned via polymer center position r_c</li> <li>distribPolymerRee_segment_i.dat: distribution of Ree^2 of segment seg_i, binned via segment center position r_{c,s}</li> <li>distribPolymerRee_segments_all.dat: distribution of Ree^2 of all segments, binned via segment center position r_{c,s}</li> <li>distribPolymerSegment_i.dat: distribution of polymer segment seg_i, binned via segment center position r_{c,s}</li> <li>distribPolymerSegments_all: distribution of all polymer segments, binned via segment center position r_{c,s}</li> </ul> <p><strong>Rg:</strong></p> <ul> <li>distribCos2_all.dat: distribution of cos^2(θ) of the whole chains, where θ is the angle between the polymer's center r_c and the eigenvector belonging to the largest eigenvalue of the chain’s gyration tensor [Fig. S3b, Fig. S6b, Fig. S9b, Fig. S12b]</li> <li>distribCos2_segment_i.dat: distribution of cos^2(θ_s) of segment seg_i, where θ_s is the angle between r_{c,s} and the eigenvector belonging to the largest eigenvalue of the segment’s gyration tensor [Fig. S4b, Fig. S7b, Fig. S10b, Fig. S13b]</li> <li>distribCos2_segments_all.dat: distribution of cos^2(θ_s) of all segments seg_i, where θ_s is the angle between r_{c,s} and the eigenvector belonging to the largest eigenvalue of the segment’s gyration tensor [Fig. S4b, Fig. S7b, Fig. S10b, Fig. S13b]</li> <li>distribMonomer_all.dat: distribution of the monomers [Fig. 1, Fig. S4c, Fig. S7c, Fig. S10c, Fig. S13c]</li> <li>distribPolymer_all.dat: distribution of the polymers (whole chains, binned via polymer center position) [Fig. 1, Fig. S4c, Fig. S7c, Fig. S10c, Fig. S13c]</li> <li>distribMonomerRg_all.dat: distribution of monomer weighted Rg^2 (whole chains), referred to as R_{g,mono}^2 (following Farag et. al) [Fig. 2, Fig. S3a, Fig. S6a, Fig. S9a, Fig. S12a]</li> <li>distribPolymerRg_all.dat: distribution of Rg^2 (whole chains), binned via polymer center position r_c [Fig. 2, Fig. S3a, Fig. S6a, Fig. S9a, Fig. S12a]</li> <li>distribPolymerRg_segment_i.dat: distribution of Rg^2 of segment seg_i, referred to as R_{g,s}^2, binned via segment center position r_{c,s} [Fig. S4a, Fig. S7a, Fig. S10a, Fig. S13a]</li> <li>distribPolymerSegment_i.dat: distribution of polymer segment seg_i, binned via segment center position r_{c,s}</li> <li>distribPolymerSegments_all: distribution of all segments, binned via segment center position r_{c,s}</li> </ul> <p><strong>resDist:</strong></p> <ul> <li>distribPolymerRee2_base_resDistance_s.dat: distribution of Ree2 of all chain segments of length s=|j-i|, binned according to the segment base position r_i [Fig. 3, Fig. S5, Fig. S8, Fig. S11, Fig. S14]</li> <li>distribPolymerRee2_center_resDistance_s.dat: distribution of Ree2 of all chain segments of length s=|j-i|, binned according to the segment center position r_{c,s} [Fig. 3, Fig. S5, Fig. S8, Fig. S11, Fig. S14]</li> <li>distribPolymerRg2_base_resDistance_s.dat: distribution of Rg2 of all chain segments of length s=|j-i|, binned according to the segment base position r_i [Fig. 3, Fig. S5, Fig. S8, Fig. S11, Fig. S14]</li> </ul> <p>distribPolymerRg2_center_resDistance_s.dat: distribution of Rg2 of all chain segments of length s=|j-i|, binned according to the segment center position r_{c,s} [Fig. 3, Fig. S5, Fig. S8, Fig. S11, Fig. S14] </p> <p> </p> <p>Details for (3):<br>The folder '<strong>droplet</strong>' contains four system folders (HP, WT, WT_noEL_T260, WT_noEL_T290). Each of those folders contains the following files:</p> <ul> <li>runX_cluster_Rg2_Rg2Normal_kappa2.dat: for every run X, one finds the time evolution (in simulation units, with 1e8 timesteps = 1µs) of the square radius of gyration Rg2 of the full droplet, its x-, y- and z-components, its three eigenvalues and the droplet asphericity A (referred to as kappa2 in the header) [Fig.S1c, Fig.S1d]</li> <li>AVG_cluster_Rg2_Rg2Normal_kappa2.dat: average of the parameters from the runX_cluster_Rg2_Rg2Normal_kappa2.dat files, over all five runs, using the last 900 snapshots (4.5µs) of every run [Fig. S1a, Fig. S1b]</li> <li>STD_cluster_Rg2_Rg2Normal_kappa2.dat: standard deviation of the parameters from the runX_cluster_Rg2_Rg2Normal_kappa2.dat files, over all five runs, using the last 900 snapshots (4.5µs) of every run [Fig. S1a, Fig. S1b]</li> </ul>
Fig. 3 in Gradual evolution of the Early Cretaceous marine gastropod Rissoina lineage in central Poland
Fig. 3. Rissoina (Buvignieria) sp. from the Wąwał section. A. ZPAL Ga.9/44, sample A5, lateral (A1) and apical (A2) views respectively. B. ZPAL Ga.9/46, sample C2, lateral (B1) and apical (B2) views respectively. C. ZPAL Ga.9/52, sample C1, lateral view. D. ZPAL Ga.9/48, sample I1, lateral (D1) and apical (D2) views respectively. E. ZPAL Ga.9/49, sample M1, lateral view. F. ZPAL Ga.9/54, sample F2, lateral view of the protoconch. G. ZPAL Ga.9/43, sample L1, close−up of the protoconch 1. H. ZPAL Ga.9/53, sample C1, apical view. Black arrow shows the demarcation between protoconch 1 and 2, white arrows show the demarcation between protoconch and teleoconch.
Fig. 2 in Gradual evolution of the Early Cretaceous marine gastropod Rissoina lineage in central Poland
Fig. 2. Temporal changes of Rissoina (Buvignieria) sp. in the Wąwał section. The mean value, standard deviation, p of Kolmogorov−Smirnov D statistic, and observed range for diameter at the first whorl of the teleoconch (D), whorl height between abapical and adapical suture at the end of the first whorl of teleoconch (SH), shoulder angle (SA), and apical angle (A). Note that in the lower part of the section where the environment is unstable only the ecophenotypic parameters (D and SH) change whereas the parameters SA and A, both signals of morphological changes start to evolve after the environment stabilizes. The Kolmogorov−Smirnov D statistic counted with PAST software (Hammer et al. 2001) gives roughly the same results.
Gradual Pressure Error in an HPLC-HRMS Measurement Run
<p>This dataset contains files of a reverse-phase HPLC-HRMS orbitrap measurement run during which the pump pressure gradually got more unstable. While a run was being recorded, the pump for the organic eluent ceased functioning slowly. This resulted in a high amount of new signals appearing in the form of "stripes" at specific retention times.</p> <p>It is intended as a control group for assigned data quality scores, with the reasoning that a highly unstable pressure in the chromatography will lead to more purely noise-induced signals. The relevant pressure profiles are also included. The mzML files were produced from the raw data using MSconvert and only contain the MS1 spectra.</p> <p>The last file in the series (<a href="https://zenodo.org/api/records/14046512/draft/files/20240805_AA_DK_Ibu_pH6_1min_20240808161549.raw/content" target="_blank" rel="noopener noreferrer">20240805_AA_DK_Ibu_pH6_1min_20240808161549</a>) remains incomplete since the instrument shut off halfway through the measurement.</p>
Text-fig. 4. Pazlia hilaris gen. et sp. nov. (a, b) from the Early Cretaceous Famalicão locality (sample 025), Portugal (holotype, S175096) and Pazliopsis reyi gen. et sp. nov. (c, d) from the Early Cretaceous Torres Vedras locality (sample 038), Portugal (S174614); Synchrotron radiation X-ray tomographic microscopy (SRXTM, orthoslices). a) Longitudinal orthoslice (xy0984) through the median plane of the seed showing the strongly thickened sclerenchyma under the hilar scar (hi), micropylar slit (mi) and the raphe (ra); note cells of exotesta are almost equally tall on both raphal and anti-raphal sides of the seed and gradually become shorter towards the micropyle. b) Transverse orthoslice (xy0984) through middle of seed showing the thickened cells of the exotesta; note that cells of the exotesta are almost equally tall on both raphal and anti-raphal sides. c) Longitudinal orthoslice (yz0812) through apical part of seed in the median plane showing embryo with two rudimentary cotyledons (asterisks) and surrounding nutritive tissue; note the tiny cells of embryo with central structures we interpret as the fossilized remains of nuclei. d) Detail of (4c) showing tiny embryo with two rudimentary cotyledons (asterisks); nutritive tissue immediately surrounding the embryo is interpreted as endosperm (endo); whether there is any delimitation between this inner endosperm and the outer part of the nutritive tissues is not clear. Scale bars = 250 µm (a–c); 125 µm (d). in Extinct Taxa Of Exotestal Seeds Close To Austrobaileyales And Nymphaeales From The Early Cretaceous Of Portugal
Text-fig. 4. Pazlia hilaris gen. et sp. nov. (a, b) from the Early Cretaceous Famalicão locality (sample 025), Portugal (holotype, S175096) and Pazliopsis reyi gen. et sp. nov. (c, d) from the Early Cretaceous Torres Vedras locality (sample 038), Portugal (S174614); Synchrotron radiation X-ray tomographic microscopy (SRXTM, orthoslices). a) Longitudinal orthoslice (xy0984) through the median plane of the seed showing the strongly thickened sclerenchyma under the hilar scar (hi), micropylar slit (mi) and the raphe (ra); note cells of exotesta are almost equally tall on both raphal and anti-raphal sides of the seed and gradually become shorter towards the micropyle. b) Transverse orthoslice (xy0984) through middle of seed showing the thickened cells of the exotesta; note that cells of the exotesta are almost equally tall on both raphal and anti-raphal sides. c) Longitudinal orthoslice (yz0812) through apical part of seed in the median plane showing embryo with two rudimentary cotyledons (asterisks) and surrounding nutritive tissue; note the tiny cells of embryo with central structures we interpret as the fossilized remains of nuclei. d) Detail of (4c) showing tiny embryo with two rudimentary cotyledons (asterisks); nutritive tissue immediately surrounding the embryo is interpreted as endosperm (endo); whether there is any delimitation between this inner endosperm and the outer part of the nutritive tissues is not clear. Scale bars = 250 µm (a–c); 125 µm (d).
Chromosomal inversions from an initial ecotypic divergence drive a gradual repeated radiation of Galápagos beetles
Open the record for dataset details and reuse information.
Spatial distribution of benthic algae in the South China Sea: responses to gradually changing environmental factors and ecological impacts on coral communities
Open the record for dataset details and reuse information.
DISCARDLess: Strategies for the gradual elimination of discards in European fisheries
<p>DiscardLess will help provide the knowledge, tools and technologies as well<br /> as the involvement of the stakeholders to achieve the gradual elimination of<br /> discarding. These will be integrated into Discard Mitigation Strategies (DMS)<br /> proposing cost-effective solutions at all stages of the seafood supply chain.</p> <p>The recorded presentation by Clara Ulrich, Scientific coordinator of DiscardLess Project, is part of the official programme of EC Conference <strong>The Atlantic – Our Shared Resource. Making the Vision Reality</strong> in support of the Galway Declaration, 16-17 April 2015 (link: http://ec.europa.eu/research/bioeconomy/news-events/news/20150430_1_en.htm).</p> <p>DiscardLess is funded by the European Commission’s Horizon 2020 Framework Programme (2014-2020) Call number H2020-SFS-2014-2 Topic SFS-09-2014<br /> under Grant Agreement No 633 680.</p>
Data from: Loss and recovery of ecological diversity associated with evolutionary rescue in abruptly and gradually deteriorating environments
<p><span>Populations may survive environmental deterioration by evolutionary adaptation. However, such evolutionary rescue events may be associated with ecological costs, such as reduction in growth performance and loss of ecologically important genetic diversity. Those negative ecological consequences may be mitigated by additional adaptive evolution. Both the ecological costs and the opportunities for additional evolution are contingent on the severity of environmental deterioration. Here we hypothesize that populations evolutionarily rescued from faster, relative to slow, environmental deterioration suffer more severe long-term fitness decline and diversity loss. An experiment with the model adaptive radiation of bacterium <em>Pseudomonas fluorescens</em> exposed to abruptly or gradually increased antibiotic stress supported our hypothesis. The effect of additional adaptive evolution in recovering population size and ecological diversity was far from perfect. Cautions are therefore needed in predicting the role of rapid evolution for mitigating the impacts of environmental changes, in particular very fast environmental deterioration. We also found that bacterial populations rescued from gradually increased antibiotic stress evolved higher levels of antibiotic resistance, lending more support to </span><span>aggressive chemotherapy in pathogen control</span><span>.</span></p>
SiOx memristor structure - Gradual RESET conductance modulation
<p>Gradual RESET process of SiOx based memristor structures. </p>
Data from: Gradual warming prior to the end-Permian mass extinction
<p><span>The biggest known mass extinction in the history of animal life occurred at the Permian-Triassic boundary and has often been linked to global warming. Previous studies suggested that a geologically rapid (less than 40 kyr) temperature increase of more than 10°C occurred simultaneously with the main extinction pulse. This hypothesis is challenged by geochemical and palaeontological data indicating profound environmental perturbations and a temperature rise prior to the main extinction. Using Secondary Ion Mass Spectrometry (SIMS), we measured oxygen isotope ratios from Changhsingian (Late Permian) ostracods of northwestern Iran. Our data show that ambient seawater temperature began to rise at least 300 kyr prior to the main extinction event. Gradual warming by approximately 12°C was probably responsible for initial environmental degradation that eventually culminated in the global end-Permian mass extinction.</span></p>
Gradual transitions in genetics and songs between coastal and inland populations of Setophaga townsendi
<p><em>Setophaga townsendi </em>is a species of wood-warbler (family Parulidae) in northwestern North America that has a geographic structure in the mitochondrial and nuclear genomes: while interior populations have differentiated mitonuclear ancestry from the sister species <em>S. occidentalis</em>, coastal populations have a mix of inland and <em>S. occidentalis </em>mitonuclear ancestries. This coastal-to-inland transition in genomic ancestry raises the possibility of similar geographic structure in phenotypic traits, especially those involved in mate choice. Using qualitative and multivariate approaches, we investigated whether there is a sharp transition between coastal and inland populations in both songs and nuclear DNA. We find there is a shallow geographic cline in the Type I song but not in the Type II song. Nuclear DNA shows a gradient between the coast and inland. There is little correlation between variation in song and the isolation-by-distance pattern in the nuclear DNA. The learned songbird song is shaped by both genetic and cultural processes. There has been a debate on whether song learning promotes or slows down population differentiation. By comparing the within-species variation in song and genetic structures, we can expand our understanding of the dynamic interplay between mating signals and population differentiation.</p>
Data from: Gradual evolution towards flightlessness in Steamer-Ducks
Flightlessness in birds is the product of changes in suites of characters--including increased body size and reduced anterior limbs--that have evolved repeatedly and independently under similar ecological conditions (generally insularity). It remains unknown whether this phenotypic convergence extends to the genomic level, partially because many losses of flight occurred long ago (such as in penguins or ratites), thus complicating the study of the genetic pathways to flightlessness. Here we use genome sequencing to study the evolution of flightlessness in a group of ducks that are current and dynamic exemplars of this major functional transition. These recently diverged Tachyeres steamer-ducks differ in their ability to fly: one species is predominantly flighted and three are mainly flightless. Through a genome-wide association analysis we identify two narrow candidate genomic regions implicated in the morphological changes that led to flightlessness, and reconstruct the number of times flightnesses has evolved in Tachyeres. The strongest association is with DYRK1A, a gene that when knocked-out in mice leads to alterations in growth and bone morphogenesis. These findings, together with phylogenetic and demographic analyses, imply that the genomic changes leading to flightlessness in Tachyeres may have evolved once, and that this trait remains functionally polymorphic in two species.
Atlantic salmon (Salmo salar) transfer to seawater by gradual salinity changes exhibited an increase in the intestinal microbial abundance and richness data
<p>The host's physiological history and environment determine the microbiome structure. In that sense, the strategy used for the salmon transfer to seawater after parr-smolt transformation may influence the Atlantic salmon’s intestinal microbiota. Therefore, this study aimed to explore the diversity and abundance of the Atlantic salmon intestinal microbiota and metagenome functional prediction during seawater transfer under three treatments. One group was exposed to gradual salinity change (GSC), the other to salinity shock (SS), and the third was fed with a functional diet (FD) before the seawater (SW) transfer. The microbial profile was assessed through full-16S rRNA gene sequencing using the Nanopore platform. In addition, metagenome functional prediction was performed using PICRUSt2. The results showed an influence of salinity changes on Atlantic salmon gut microbiota richness, diversity, and taxonomic composition. The findings reveal that GSC and the FD increased the Atlantic salmon smolt microbiota diversity, suggesting a positive association between the intestinal microbial community and fish health during seawater transfer. The reported knowledge can be applied to surveil the microbiome in smolt fish production, improving the performance of Atlantic salmon to seawater transfer.</p>
Slow soil enzyme recovery following invasive tree removal through gradual changes in bacterial and fungal communities
<p><span>Biological invasions of plants have profound effects on ecosystem functioning by directly and indirectly altering soil microbiota, especially when invasive plants co-invade with their associated microbiomes. Ecosystem functions may recover slowly following invader removal, with implications for restoration. </span></p> <p><span>We investigated the recovery of soil ecosystem function (measured as soil enzymes) following the removal, at different densities and times, of invasive <em>Pinus</em> spp. in New Zealand, and how different enzymatic activities responded to pine legacies. </span></p> <p><span>Enzymatic activities were driven by pine legacies via both abiotic (soil nutrients) and biotic (fungi and bacteria) soil properties, with different enzymes showing distinct patterns. The activity of the enzymes cellobiohydrolase (cellulose degrading), β-glucosidase (cellulose degrading), N-acetyl-glucosaminidase (chitin degrading), laccase (lignin oxidising) and acid phosphatase (organic phosphate hydrolysing) were influenced by time since pine removal and by pine density at removal via effects on biotic communities. In comparison, Mn-peroxidase (lignin oxidising) was positively correlated with density of pines at removal and was negatively correlated with time since removal and was only influenced by fungal communities. </span></p> <p><em><span>Synthesis</span></em><span>. The recovery of soil enzymatic function following invasive species removal is slow, and dependent on pine legacies through the gradual changes in fungal and bacterial communities. The cascading effects of these changes suggest potential implications for the success of future plant establishment and restoration of co-invaded ecosystems.</span></p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.