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”
Wetland Areas - Ipswich Watershed - Idrisi Raster File.
This map shows the location of wetland areas inside of the Ipswich River watershed sudy area.
Year 2012, 15 minute measurements of stage, water temperature in a small headwater stream draining draining a mainly forested catchment (55% forest + 19% wetland), Cart Cr., Newbury, MA.
Year 2012, continuous measurements, every 15 minutes, were made of stage, water temperature in Cart Creek, Newbury, MA, a small headwater stream draining a mainly forested catchment (55% forest + 19% wetland) in the Parker River watershed. Discharge is determined from stage using discharge vs stage regressions.
Year 2012, 15 minute measurements of stage, water temperature in a small headwater stream draining a mainly wetland catchment (49% wetlands/swamp + 36% forest), Bear Meadow Brook, draining Cedar Swamp, Reading, MA.
Year 2012, continuous measurements, every 15 minutes, were made of stage and water temperature in a small headwater stream, Bear Meadow Brook , Cedar Swamp, Reading MA, draining a mainly wetland catchment (49% wetland + 36% wetland). Discharge is determined from stage using discharge vs stage regressions.
Year 2013, 15 minute measurements of stage, water temperature in a small headwater stream draining a mainly wetland catchment (49% wetlands/swamp + 36% forest), Bear Meadow Brook, draining Cedar Swamp, Reading, MA.
Year 2013, continuous measurements, every 15 minutes, were made of stage and water temperature in a small headwater stream, Bear Meadow Brook , Cedar Swamp, Reading MA, draining a mainly wetland catchment (49% wetland + 36% wetland). Discharge is determined from stage using discharge vs stage regressions.
Year 2014, 15 minute measurements of stage, water temperature in a small headwater stream draining a mainly wetland catchment (49% wetlands/swamp + 36% forest), Bear Meadow Brook, draining Cedar Swamp, Reading, MA.
Year 2014, continuous measurements, every 15 minutes, were made of stage and water temperature in a small headwater stream, Bear Meadow Brook , Cedar Swamp, Reading MA, draining a mainly wetland catchment (49% wetland + 36% wetland). Discharge is determined from stage using discharge vs stage regressions.
Year 2015, 15 minute measurements of stage, water temperature in a small headwater stream draining a mainly wetland catchment (49% wetlands/swamp + 36% forest), Bear Meadow Brook, draining Cedar Swamp, Reading, MA.
Year 2015, continuous measurements, every 15 minutes, were made of stage and water temperature in a small headwater stream, Bear Meadow Brook , Cedar Swamp, Reading MA, draining a mainly wetland catchment (49% wetland + 36% wetland). Discharge is determined from stage using discharge vs stage regressions.
PIE LTER year 2014, 15 minute measurements of conductivity, water temperature in a small headwater stream draining draining a mainly forested catchment (55% forest + 19% wetland), Cart Cr., Newbury, MA.
Year 2014, continuous measurements every 15 minutes were made of conductivity, water temperature in Cart Creek, Newbury, MA, a small headwater stream draining a mainly forested catchment (55% forest + 19% wetland) in the Parker River watershed.
PIE LTER year 2015, 5 minute and 15 minute measurements of conductivity, water temperature in a small headwater stream draining draining a mainly forested catchment (55% forest + 19% wetland), Cart Cr., Newbury, MA.
Year 2015, continuous measurements every 15 minutes were made of conductivity, water temperature in Cart Creek, Newbury, MA, a small headwater stream draining a mainly forested catchment (55% forest + 19% wetland) in the Parker River watershed.
PIE LTER year 2013, 15 minute measurements of dissolved oxygen, water temperature in a small headwater stream draining draining a mainly forested catchment (55% forest + 19% wetland), Cart Cr., Newbury, MA.
Year 2013, continuous measurements every 15 minutes were made of dissolved oxygen, water temperature in Cart Creek, Newbury, MA, a small headwater stream draining a mainly forested catchment (55% forest + 19% wetland) in the Parker River watershed.
PIE LTER year 2014, 15 minute measurements of dissolved oxygen, water temperature in a small headwater stream draining draining a mainly forested catchment (55% forest + 19% wetland), Cart Cr., Newbury, MA.
Year 2014, continuous measurements every 15 minutes were made of dissolved oxygen, water temperature in Cart Creek, Newbury, MA, a small headwater stream draining a mainly forested catchment (55% forest + 19% wetland) in the Parker River watershed.
PIE LTER year 2015, 15 minute measurements of dissolved oxygen, water temperature in a small headwater stream draining draining a mainly forested catchment (55% forest + 19% wetland), Cart Cr., Newbury, MA.
Year 2015, continuous measurements every 15 minutes were made of dissolved oxygen, water temperature in Cart Creek, Newbury, MA, a small headwater stream draining a mainly forested catchment (55% forest + 19% wetland) in the Parker River watershed.
PIE LTER year 2012, 5 minute and 15 minute measurements of conductivity, water temperature in a small headwater stream draining a mainly wetland catchment (49% wetlands/swamp + 36% forest), Bear Br., draining Cedar Swamp, Reading, MA.
Year 2012, continuous measurements, every 5 minutes during the first deployment and then 15 minutes for the remainder of the year, were made of conductivity, water temperature in Bear Brook in Reading, MA, a small headwater stream draining Cedar Swamp, a mainly wetland catchment (49% wetlands and swamp + 36% forest) in the Ipswich River watershed.
PIE LTER year 2013, 15 minute measurements of conductivity, water temperature in a small headwater stream draining a mainly wetland catchment (49% wetlands/swamp + 36% forest), Bear Br., draining Cedar Swamp, Reading, MA.
Year 2013, continuous measurements, every 15 minutes were made of conductivity, water temperature in Bear Brook in Reading, MA, a small headwater stream draining Cedar Swamp, a mainly wetland catchment (49% wetlands and swamp + 36% forest) in the Ipswich River watershed.
PIE LTER year 2015, 15 minute measurements of conductivity, water temperature in a small headwater stream draining a mainly wetland catchment (49% wetlands/swamp + 36% forest), Bear Br., draining Cedar Swamp, Reading, MA.
Year 2015, continuous measurements, every 15 minutes were made of conductivity, water temperature in Bear Brook in Reading, MA, a small headwater stream draining Cedar Swamp, a mainly wetland catchment (49% wetlands and swamp + 36% forest) in the Ipswich River watershed.
PIE LTER year 2014, 15 minute measurements of conductivity, water temperature in a small headwater stream draining a mainly wetland catchment (49% wetlands/swamp + 36% forest), Bear Br., draining Cedar Swamp, Reading, MA.
Year 2014, continuous measurements, every 15 minutes were made of conductivity, water temperature in Bear Brook in Reading, MA, a small headwater stream draining Cedar Swamp, a mainly wetland catchment (49% wetlands and swamp + 36% forest) in the Ipswich River watershed.
Zonation of mangrove flora and fauna in a subtropical estuarine wetland based on surface elevation
<p>In the context of sea-level rise (SLR), an understanding of the spatial distributions of mangrove flora and fauna is required for effective ecosystem management and conservation. These distributions are greatly affected by tidal inundation, and surface elevation is a reliable quantitative indicator of the effects of tidal inundation. Most recent studies have focused exclusively on the quantitative relationships between mangrove-plant zonation and surface elevation, neglecting mangrove fauna. Here, we measured surface elevation along six transects through the mangrove forests of a subtropical estuarine wetland in Zhenzhu Bay (Guangxi, China), using a real-time kinematic global positioning system. We identified the mangrove plants along each transect and investigated the spatial distributions of arboreal, epifaunal, and infaunal molluscs, as well as infaunal crabs, using traditional quadrats. Our results indicated that 97.3% of all mangrove forests in the bay were distributed within the 400–750 m intertidal zone, between the local mean sea level and mean high water (119 cm above mean sea level). Mangrove plants exhibited obvious zonation patterns, and different species tended to inhabit different niches along the elevation gradient: <i>Aegiceras corniculatum</i> dominated in seaward locations while <i>Lumnitzera racemosa</i> dominated in landward areas. Mangrove molluscs also showed distinct patterns of spatial zonation correlated with surface elevation, independent of life-form and season; the spatial distributions of some molluscs were influenced by the relative abundances of certain mangrove plants. In contrast, the spatial distributions of crabs in the bay were not correlated with surface elevation. To the best of our knowledge, this is the first study to explicitly quantify the influences of surface elevation on the spatial distributions of mangrove fauna in the intertidal zone. This characterization of the vertical ranges of various flora and fauna in mangrove forests provides a basic framework for future studies aimed at predicting changes in the structure and functions of mangrove forests in response to SLR.</p>
Nitrogen enrichment stimulates wetland plant responses whereas salt amendments alter sediment microbial communities and biogeochemical responses
<p>Freshwater wetlands of the temperate north are exposed to a range of pollutants that may alter their function, including nitrogen (N)-rich agricultural and urban runoff, seawater intrusion, and road salt contamination, though it is largely unknown how these drivers of change interact with the vegetation to affect wetland carbon (C) fluxes and microbial communities. We implemented a full factorial mesocosm (378.5 L tanks) experiment investigating C-related responses to three common wetland plants of eastern North America (<i>Phragmites australis</i>, <i>Spartina pectinata</i>, <i>Typha latifolia</i>), and four water quality treatments (fresh water control, N, road salt, sea salt). During the 2017 growing season, we quantified carbon dioxide (CO<sub>2</sub>) and methane (CH<sub>4</sub>) fluxes, above- and below-ground biomass, root porosity, light penetration, pore water chemistry (NH<sub>4</sub><sup>+</sup>, NO<sub>3</sub><sup>-</sup>, SO<sub>4</sub><sup>-</sup>², Cl<sup>-</sup>, DOC), soil C mineralization, as well as sediment microbial communities via 16S rRNA gene sequencing. Relative to freshwater controls, N enrichment stimulated plant biomass, which in turn increased CO<sub>2</sub> uptake and reduced light penetration, especially in <i>Spartina</i> stands. Root porosity was not affected by water quality, but was positively correlated with CH<sub>4 </sub>emissions,<sub> </sub>suggesting that plants can be important conduits for CH<sub>4</sub> from anoxic sediment to the atmosphere. Sediment microbial composition was largely unaffected by N addition, whereas salt amendments induced structural shifts, reduced sediment community diversity, and reduced C mineralization rates, presumably due to osmotic stress. Methane emissions were suppressed by sea salt, but not road salt, providing evidence for the additional chemical control (SO<sub>4</sub><sup>-2</sup> availability) on this microbial-mediated process. Thus, N may have stimulated plant activity while salting treatments preferentially enriched specific microbial populations. Together our findings underpin the utility of combining plant and microbial responses, and highlight the need for more integrative studies to predict the consequences of a changing environment on freshwater wetlands. </p>
Data from: Drivers of plant traits that allow survival in wetlands
<ol> <li>Plants have developed a suite of traits to survive the anaerobic and anoxic soil conditions in wetlands. Previous studies on wetland plant adaptive traits have focused mainly on physiological aspects under experimental conditions, or compared the trait expression of the local species pool. Thus, a comprehensive analysis of potential factors driving wetland plant adaptive traits under natural environmental conditions is still missing.</li> <li>In this study, we analysed three important wetland adaptive traits, i.e. root porosity, root/shoot ratio and underwater photosynthetic rate, to explore driving factors using a newly compiled dataset of wetland plants. Based on 21 studies at 38 sites across different biomes, we found that root porosity was affected by an interaction of temperature and hydrological regime; root:shoot ratio was affected by temperature, precipitation and habitat type; and underwater photosynthetic rate was affected by precipitation and life form. This suggests that a variety of driving mechanisms affect the expression of different adaptive traits.</li> <li>The quantitative relationships we observed between the adaptive traits and their driving factors will be a useful reference for future global methane and denitrification modelling studies. Our results also stress that besides the traditionally emphasized hydrological driving factors, other factors at several spatial scales should also be taken into consideration in the context of future functional wetland ecology.</li> </ol>
Data supporting manuscript "Effect of cold front-induced waves along wetlands boundaries" submitted to JGR Oceans
<p>This directory contains simulation data used in the manuscript "Effect of cold front-induced waves along wetlands boundaries" submitted to jGR Oceans.</p> <p>1. Matlab codes for wind input generation</p> <p> (From NCEP Reanalysis data and NOAA weather station to Delft3D space-varying wind input)</p> <p>2. Wave Power Calculator </p> <p> (Wave number calculation by the dispersion relation Including <em>Newton</em>–<em>Raphson </em>codes, Shallow and Deep-water approximation availability check)</p> <p>Data are intended for the reviewers and may be updated until the review process is complete.</p>
Multi-species occupancy modeling provides novel insights into amphibian metacommunity structure and wetland restoration
<p>A fundamental goal of community ecology is to understand species-habitat relationships and how they shape metacommunity structure. Recent advances in occupancy modeling enable habitat relationships to be assessed for both common and rare species within metacommunities using multi-species occupancy models (MSOM). These models account for imperfect species detection and offer considerable advantages over other analytical tools commonly used for community analyses under the elements of metacommunity structure (EMS) framework. Here, we demonstrate that MSOM can be used to infer habitat relationships and test metacommunity theory, using amphibians. Repeated frog surveys were undertaken at 55 wetland sites in eastern Australia. We detected 11 frog species from three families (Limnodynastidae, Myobatrachidae and Pelodryadidae). The rarest species was detected at only one site whereas the most common species was detected at 42 sites (naïve occupancy rate: 0.02 – 0.76). Two models were assessed representing two competing hypotheses; the best-supported model included the covariates distance to the nearest site (connectivity), wetland area, presence of the non-native eastern mosquitofish (<i>Gambusia holbrooki</i>), proportion cover of emergent vegetation, an interaction term between Gambusia and emergent vegetation cover, and the proportion canopy cover over a site. Hydroperiod played no detectable role in metacommunity structure. We found species-habitat relationships that fit with current metacommunity theory – occupancy increased with wetland area and connectivity. There was a strong negative relationship between occupancy and the presence of predatory Gambusia, and a positive interaction between Gambusia and emergent vegetation. The presence of canopy cover strongly increased occupancy for several tree frog species, highlighting the importance of terrestrial habitat for amphibian community structure. We demonstrated how responses by amphibians to environmental covariates at the species level can be linked to occupancy patterns at the metacommunity scale. Our results have clear management implications – wetland restoration projects for amphibians and likely other taxa should maximize wetland area and connectivity, establish partial canopy cover, and eradicate Gambusia or provide aquatic vegetation to mitigate the impact of this non-native fish. We strongly advocate the use of MSOM to elucidate the habitat drivers behind animal occupancy patterns and to derive unbiased occupancy estimates for monitoring programmes.</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.