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.
1,133
datasets available to search
ShareScore release 0.7.1
Dataset results
1,133 results for “wetlands”
Figure 6. A in Temporal dynamics of invertebrate and aquatic plant communities at three intermittent ponds in livestock grazed Patagonian wetlands
Figure 6. A schematic cross-section of the study wetland (Mallín Crespo) contrasting the condition of the three studied ponds (P1, P2 and P3) during hydrological phases: isolation and connected periods. Distances between ponds, the weather station and sheep are not to scale. Volume (m3) is indicated below each pond. Environment variables are: water temperature (WT), precipitation (PP), pH, specific conductivity (C), dissolved oxygen (DO), total suspended solids (TSS), total nitrogen (TN), and total phosphorus (TP). Invertebrate attributes are: taxa richness (R) density (D), biomass (B) and dominant functional feeding groups (FFG). Dominant taxa in terms of density and frequency are listed over each pond. Bold letters are used for taxa that are also dominants in biomass. For both periods first and second dominant FFG are represented. P, predators; CG, collector–gatherers; and CF, collector–filterers.
Figure 4 in Temporal dynamics of invertebrate and aquatic plant communities at three intermittent ponds in livestock grazed Patagonian wetlands
Figure 4. Seasonal patterns of functional feeding groups (FFG), (A) by density (103 individuals m−3) and (B) by biomass [g DM m−3] at three ponds (May 2008 to April 2009) of Mallín Crespo wetland (Argentina). Sh, shredders; Sc, scrapers; P, predators; CG, collector–gatherers; CF, collector–filterers; P–H, piercers herbivores.
Figure 2 in Temporal dynamics of invertebrate and aquatic plant communities at three intermittent ponds in livestock grazed Patagonian wetlands
Figure 2. Seasonal variation of particulate organic matter (POM, dashed lines) and aquatic plant coverage (solid line) at three ponds on a Patagonian steppe wetland (Argentina) during the study period (May 2008 to April 2009). Categories of aquatic plant coverage explained in methodology. Livestock stocking period is indicated in the figure (black bar).
Figure 1 in Temporal dynamics of invertebrate and aquatic plant communities at three intermittent ponds in livestock grazed Patagonian wetlands
Figure 1. (A) Location of the sampling sites (P1, P2 and P3) at Mallín Crespo (Chubut Province, Patagonia, Argentina) during connected (June–December) and hydrologically isolated (January–May) periods. The three ponds are in the same scale. (B) Daily rain (dashed line) and mean daily air temperature (solid line), from May 2008 to April 2009. (C–E) Physicochemical variables sampled monthly and once per pond. Dashed line (D), indicates unavailable data.
Figure 2 in Camera traps capture images of predators of Caiman crocodilus yacare eggs (Reptilia: Crocodylia) in Brazil's Pantanal wetlands
Figure 2. Mammalian predators of the eggs of the Pantanal caiman (Caiman crocodilus yacare) – (A) crab-eating fox (Cerdocyon thous); (B) coati (Nasua nasua); (C) tayra (Eira barbara); (D) feral pig (Sus scrofa).
Figure 8 from: Jamilah MS, Lee GE, Salam MR, Shahimi S, Pesiu E, Jani JM, Horsali NAI, Shahrudin R, Nor SMM, Chong JL, Mohamad F, Raffi A, Nikong D (2020) A checklist of vascular plants and uses of some species for livelihood-making in Setiu Wetlands, Terengganu, Malaysia. PhytoKeys 160: 7-43. https://doi.org/10.3897/phytokeys.160.52946
Figure 8 Utilisation of Lepironia articulata (A1–3), Pandanus tectorius (B1–3), and Nypa fruticans (C1–3ii) in Setiu Wetlands. From left to right 1 Harvesting 2 Part used 3 Finished products.
Figure 4 from: Jamilah MS, Lee GE, Salam MR, Shahimi S, Pesiu E, Jani JM, Horsali NAI, Shahrudin R, Nor SMM, Chong JL, Mohamad F, Raffi A, Nikong D (2020) A checklist of vascular plants and uses of some species for livelihood-making in Setiu Wetlands, Terengganu, Malaysia. PhytoKeys 160: 7-43. https://doi.org/10.3897/phytokeys.160.52946
Figure 4 A selection of Orchidaceae species from Setiu Wetlands. AAnia penangianaBThrixspermum amplexicauleCPinalia atrovinosaDPapilionanthe hookerianaEPhalaenopsis pulcherrimaFCymbidium finlaysonianumGGrammatophyllum speciosumHStrongyleria panneaICallostylis pulchellaJBromheadia finlaysonianaKVanilla griffithiiLArachnis flos-aerisMDendrobium secundumNBulbophyllum trigonopusODendrolirium lasiopetalum.
Figure 1 from: Jamilah MS, Lee GE, Salam MR, Shahimi S, Pesiu E, Jani JM, Horsali NAI, Shahrudin R, Nor SMM, Chong JL, Mohamad F, Raffi A, Nikong D (2020) A checklist of vascular plants and uses of some species for livelihood-making in Setiu Wetlands, Terengganu, Malaysia. PhytoKeys 160: 7-43. https://doi.org/10.3897/phytokeys.160.52946
Figure 1 The boundaries (red line) of the forest to be gazetted in Setiu Wetlands as state park. Map courtesy of the Terengganu State Parks.
Figure 5 from: Jamilah MS, Lee GE, Salam MR, Shahimi S, Pesiu E, Jani JM, Horsali NAI, Shahrudin R, Nor SMM, Chong JL, Mohamad F, Raffi A, Nikong D (2020) A checklist of vascular plants and uses of some species for livelihood-making in Setiu Wetlands, Terengganu, Malaysia. PhytoKeys 160: 7-43. https://doi.org/10.3897/phytokeys.160.52946
Figure 5 Different plant communities in Setiu Wetlands. A Mangrove plants B Nipa palm (Nypa fruticans) population CCeriops zippelianaDPandanus tectoriusE Ant plant, Hydnophytum formicarum attached to Bruguiera hainesiiFNepenthes ampullariaGHoya coronariaHPloiarium alternifolia.
Predictive multi-scale occupancy models at range-wide extents: effects of habitat and human disturbance on distributions of wetland birds
<p><span><i>Aim:</i> Predicting distributions is fundamental to ecology, yet hindered by spatially-restricted sampling, scale-dependent relationships, and detection error associated with field surveys. Predictive species distribution models (SDMs) are nonetheless vital for conservation of many species. We developed a framework for building predictive SDMs with multi-scale data, and used it to develop range-wide breeding-season SDMs for 14 marsh bird species of concern.</span></p> <p><span><i>Location: </i>USA.</span></p> <p><span><i>Methods: </i>We built SDMs using data from range-wide surveys conducted over 14 years, and habitat and disturbance covariates measured at multiple spatial scales. We built hierarchical occupancy models that included heterogeneity in detectability during sampling, and used Bayesian model selection to regulate model complexity (covariates and scales) based explicitly on spatial predictive abilities. We thus integrated model selection for optimizing out-of-sample prediction, range-wide sampling over broad conditions, multi-scale analyses and scale-optimization, and species-specific detectability for a suite of wide-ranging species. </span></p> <p><span><i>Results: </i>Distributions of marsh birds were affected by local wetland conditions, but also by agricultural, urban, and hydrologic disturbances operating from local scales (100 – 500 m) to the watershed level. Variables measuring human disturbances improved prediction for most species, and every species was affected by attributes at > 1 scale. Five species showed evidence for continental-scale range contraction during the study.</span></p> <p><span><i>Main conclusions: </i>We demonstrate how hierarchical occupancy models can be optimized for prediction across a species' range at the extent of a continent while also accounting for imperfect detection, and thus describe a generalizable approach that can be used for any species. We provide the first data-driven, empirical SDMs built at the range-wide extent for most of our 14 study species and demonstrate that previous studies focused on local distributions and the effects of fine-scale wetland vegetation missed important broad-scale drivers of occupancy for marsh birds. </span></p>
Using stable isotopes to estimate migratory connectivity for a patchily distributed, wetland-associated Neotropical migrant
<p>Estimates of migratory connectivity are needed for full annual cycle population models of migratory bird species experiencing rapid declines in abundance. One technique to determine migratory connectivity is through stable isotope analysis. This low-resolution method may be influenced by how data are calibrated between isotopes measured in precipitation and those measured in feathers, and can be informed by incorporating relative abundance into the assignment model. eBird abundance maps are a new tool combining citizen science data into a predictive species distribution model. In the Prothonotary Warbler (Protonotaria citrea), a wetland-associated songbird with a patchy breeding distribution, we sought to use stable-hydrogen isotope analysis informed by a species-specific calibration equation and eBird abundance data to determine the strength of migratory connectivity. We developed a species-specific calibration equation using known-origin samples from the breeding grounds and found that stable-hydrogen isotope values measured in precipitation explained 50% of the variation in stable-hydrogen isotope values among feathers. We found that the assignment model incorporating eBird abundance data correctly identified the true origins of 66% of individuals, and that the average assignment area (as a measure of precision) was 64% of the breeding distribution. These results represented a 7% increase in precision and a 3% decrease in accuracy when compared to a model that was not informed by abundance. Based on these models, wintering populations from 6 countries represented a mix of likely breeding origins, suggesting low migratory connectivity for Prothonotary Warblers. We found evidence that wintering latitude was related to likely breeding origin, with individuals at western wintering locations more likely to have southern breeding origins, but this relationship was weak. These results corroborate studies using archival light-level geolocators and high-resolution genetic markers, which also demonstrated weak migratory connectivity in this species. For patchily distributed species, eBird abundance data may not provide a useful increase in precision and accuracy for isotope assignments.</p>
Data from: Seasonal variability of groundwater level effects on the growth of Carex cinerascens in lake wetlands
Groundwater level is crucial for wetland plant growth and reproduction, but the extent of its effect on plant growth can vary along with changed precipitation and temperature at different seasons. In this context, we investigated the effect of two groundwater levels (10 cm vs. 20 cm depth) on growth and reproductive parameters of Carex cinerascens, a dominant plant species in the Poyang Lake wetland, during three seasons (spring, summer and autumn) and during two consecutive years (2015 and 2016). Carex cinerascens showed low stem number, height, individual and population biomass in summer compared to spring and autumn. Lower groundwater depth was overall more suitable for plant growth resulting in higher stem height and biomass. However, the interactive effect between groundwater level and season clearly demonstrated that the effect of groundwater level on plant growth occurred mainly in autumn. After the withering of the plant population in summer, we observed that C. cinerascens growth recovered in autumn to similar values observed in spring only with 10 cm groundwater level. By consequence, we could deduce that lowering groundwater level in the studied Poyang Lake wetland will negatively impact C. cinerascens regeneration and growth particularly during the second growth cycle occurring in autumn. Additionally, our results also showed that, independently of the season and groundwater level, population biomass of C. cinerascens was lower during drier year. Altogether, our findings suggest that water limitation due to both reduction in precipitation and decreased groundwater level during the year can strongly impact plant communities.
Data from: Interactive effects of pasture management intensity, release from grazing and prescribed fire on forty subtropical wetland plant assemblages
Pasture management intensity, livestock grazing and prescribed fire are three widespread agricultural practices that affect small, isolated wetlands, but few studies have investigated their individual and interactive effects. Pasture management intensity refers to the degree of human alteration of grassland, ranging from intensively managed pastures planted with introduced forage, fertilizer/lime additions and artificial drainage to semi-natural pastures with mixed native and non-native vegetation, no fertilizer/lime additions and little or no artificial drainage. We examined individual and interactive effects of these three agricultural practices on individual, isolated wetlands using a replicated, full-factorial experiment on 40 entire wetlands in south Florida, USA. Wetlands were embedded in two pasture management intensities: intensively managed and semi-natural. After three years of treatment initiation, vegetation of wetlands released from grazing and unburned embedded in semi-natural pastures had significantly lower evenness and coefficient of conservatism scores compared to wetlands released from grazing and burned, grazed unburned wetlands and grazed burned wetlands in the same pasture management intensity. For wetlands embedded in intensively managed pastures, evenness and coefficient of conservatism scores did not differ among treatments. Release from grazing increased abundance of the native, weedy herb, Eupatorium capillifolium. Grazing interacted with prescribed fire to affect shrub abundance and non-native richness; relative abundance of shrubs and non-native richness were greater in wetlands released from grazing and burned and did not differ among burn treatments in grazed wetlands. Interactive effects, especially three-way interactions, were uncommon and not as important as differences between the two pasture management intensities. Synthesis and applications. Vegetation diversity and floristic quality of wetlands embedded in intensively managed pastures resisted common restoration management techniques such as release from grazing and prescribed fire, at least in the short term. In contrast, removing all top-down disturbances from wetlands embedded in semi-natural grasslands can negatively affect vegetation species diversity and floristic quality. Future studies should examine how intensity and seasonality of grazing and prescribed fire affect wetland vegetation, and track long-term responses to evaluate lag effects.
Data from: Plant diversity increases N removal in constructed wetlands when multiple rather than single N processes are considered
Biodiversity has a close relationship with ecosystem functioning. For most biodiversity–ecosystem functioning studies, biodiversity has been linked to a single indicator variable of ecosystem functioning. However, there are generally multiple ecosystem processes contributing to ecosystem functioning and they differ in their dependence on biodiversity. Thus, the relationship between biodiversity and ecosystem functioning can be stronger when multiple rather than single ecosystem processes are considered. Using both mass-balance and stable-isotope approaches, we explored the effects of plant diversity on nitrogen (N) removal sustained by multiple N-cycling processes in experimental microcosms simulating constructed wetlands, an ecosystem treating wastewater with high N loading. Four species were used to assemble different plant communities, ranging in richness from one to four species. The removal of N, indicated by low levels of total inorganic N concentration (TIN) present in the effluent, was considered as an integrated measure of ecosystem functioning, combining three constituent N-cycling processes: plant uptake, denitrification and substrate adsorption. Our results showed that: (1) species richness had a positive effect on N removal, in particular, the four-species mixture reduced effluent TIN to a lower level than any monoculture, however, polycultures (two-, three- and four-species mixtures) did not outperform the most-efficient monoculture when each of the three constituent N-cycling processes was considered by itself; (2) species identity had significant impacts on single processes. Communities with the species Coix lacryma-jobi showed the greatest capacity for N uptake and communities with Phragmites australis had the highest denitrification rates; (3) isotope fractionation in the rhizosphere of Coix lacryma-jobi was primarily due to microbial denitrification while multistep isotope fractionation was detected for Phragmites australis and Acorus calamus (indicating recycling of N), suggesting that species differed in the way they transformed N; (4) the enhanced N removal at high diversity may be due to mutualistic interactions among species belonging to different functional types. Our findings demonstrated that although plant species richness had negligible effects on individual N-cycling processes, it enhanced the overall ecosystem functioning (N removal) when these processes were considered collectively. Our study thus contributes to improve the treatment efficiency of constructed wetlands through proper vegetation management.
Data from: Contrasting effects of nutrient enrichment on below-ground biomass in coastal wetlands
Anthropogenically-enhanced nutrient availability is often cited among the most important drivers of altered ecosystem function and loss of services worldwide. Although the above-ground consequences of nutrient enrichment on plant growth patterns are numerous and well-documented, below-ground impacts are less clear but nonetheless critical from a global change perspective. In coastal wetlands, for example, plant-soil-nutrient dynamics directly affect the capacity to sequester carbon as soil organic matter, keep pace with sea level rise, and resist storm-induced erosion. Here, we investigate the effects of excess nutrient loading on below-ground plant growth in an oligohaline marsh fertilized for seven years with a factorial combination of nitrogen (N) and phosphorus (P). We used two common assessment procedures, the ingrowth and standing crop methods, to simultaneously quantify distinct aspects of below-ground plant growth: 1) below-ground biomass accumulation into unexploited open resource space, and 2) in situ, or maintenance, below-ground biomass of plants in equilibrium with their environment, respectively. Our objective was to determine if plant growth responses to nutrient enrichment differed depending on process and/or biomass component measured. We show that excess N concurrently increased live root biomass accumulation in ingrowth cores and reduced in situ live root standing crop. Similar, albeit non-significant, response trajectories were apparent for other below-ground biomass pools using both methods, excepting dead biomass and total standing crop. A review of previously published research supports our results and suggests that nutrient enrichment consistently has contrasting effects on below-ground plant growth depending on whether biomass accumulation or standing crop is measured, and that living biomass components are most responsive to enhanced nutrient availability. Synthesis. We conclude that eutrophic conditions can be both beneficial and detrimental to ecosystem function by either stimulating below-ground biomass accumulation in unexploited soil or reducing the below-ground standing crop required to sustain the nutritional needs of established plants in mature communities. Thus, nutrient enrichment may, in the short-term, contribute to soil organic matter (i.e., carbon) accumulation by increasing below-ground growth as plants exploit new resource space. Over the long-term, however, nutrient enrichment has the potential to negatively impact soil organic matter content as plants equilibrate to excess nutrient availability by down-regulating below-ground standing crop.
FIGURE 4 in A Nearctic tubificid Varichaetadrilus harmani (Loden) n. comb. in a Dutch wetland, with remarks on Tubifex tubifex (Müller) (Annelida: Oligochaeta)
FIGURE 4. Tubifex tubifex, forebody of mature individual. Scale bar 200 µm.
FIGURE 1 in A new species of Cypriconcha Sars (Crustacea: Ostracoda) from high mountain wetlands of Argentina
FIGURE 1. Location of sampling sites in Catamarca province, Argentina.
FIGURE 3 in Contribution to the freshwater gastrotrich fauna of wetland areas of southwestern Ontario (Canada) with redescriptions of seven species and a check-list for North America
FIGURE 3. Schematic drawing of Setopus lemnicola. A) Dorsal view. B) Distal end of a macrospine.
FIGURE 4 in Contribution to the freshwater gastrotrich fauna of wetland areas of southwestern Ontario (Canada) with redescriptions of seven species and a check-list for North America
FIGURE 4. Schematic drawing of Aspidophorus ontarioniensis. A) Dorsal view. B) Lateral view.
FIGURE 2 in A new arboreal species of Cyrtopodion (Squamata: Gekkonidae) from Deh Akro-II Wetlands Complex, Sindh, Pakistan
FIGURE 2. Habitat at the type locality of Cyrtopodion dehakroense sp. nov.
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.