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.
5,424
datasets available to search
ShareScore release 0.7.1
Dataset results
5,424 results for “USA”
Ice Phenology Lake Auburn, Maine, USA, 1836-2022
This dataset contains ice phenology for Lake Auburn, Maine, USA from the ice season of 1835-1836 through 2021-2022. This dataset is maintained by the Auburn Water District/Lewiston Water Division. Ice-on data begin in the early 1950s.
Ice-off dates for Lake Sunapee, NH, USA, 1869-2022
This dataset reports observed ice-ff dates for Lake Sunapee, NH, USA from 1869 thorugh 2022. The data were maintained by the Town of Sunapee until 2021 and now the data are maintained by the Lake Sunapee Protective Association (LSPA).
Manipulating the hydroperiod affects plant and invertebrate communities in freshwater mesocosms, La Marque TX USA, 2019-2021
We used a mesocosm experiment with six flooding depths and seven drought durations, followed by seven months of recovery, to explore how freshwater wetlands typical of the Houston, Texas area would respond to different hydrological regimes that might occur if wetlands were drained in anticipation of a heavy rain that did not materialize, leading to a temporary period of little or no standing water. The experiment was conducted in 2019-2021. How quickly mesocosms dried out was a function of initial water depth, with mesocosms initially set with greater water depths (30 cm) taking on average 38 days to dry out. Individual plant species (14 were planted; 8 were common at the end of the recovery period) were affected drought length, flooding depth, or their interaction, with results varying among species. The composition of the plant community at the end of the drought period was strongly affected by drought length, and this effect persisted through seven months of recovery, with the 80- and 160-day drought treatments diverging most strongly from shorter drought treatments. Densities of mosquito larvae, snails and tadpoles were temporally variable, and affected more during the treatment period than after seven months of recovery. Our results indicate that managed wetlands in southeast Texas would be quite resilient to dry periods of up to 40 days in duration, especially if water was not completely drained at the beginning of the drought. In addition, some wetland species would persist in managed wetlands even if they experienced droughts of up to 160 days.
FRAME (FoRests Among Managed Ecosystems) – Plant community and seed bank composition in forests, Philadelphia metropolitan area, USA, 2017-2019
Our study objectives were to conduct a Rosa multiflora (multiflora rose) removal experiment in three forest sites experiencing different invasion intensities and to restore native plant biodiversity while preventing secondary invasion. The study was conducted in and around Newark, DE, from 2017-2019, and data collection is complete. We utilized three management strategies: invasive plant removal, removal followed by native seed addition, and removal plus native seed and mulched invasive stem addition. We investigated the similarity between seed bank species composition and existing vegetation before and after removal to assess the potential for passive restoration. Two seasons after removal, we found that simply removing rose increased native species richness, Native Floristic Quality Assessment (FQAIN), and native shrub abundance in our medium invasion site, and total species richness in our low and medium invasion sites. Compared to removal alone, native seed addition, with and without mulch addition, resulted in larger native and total species richness and FQAIN increases at all sites, larger increases in native shrub abundance and exotic species richness in our medium invasion site, and larger reductions in exotic and total shrub abundance in our low and medium invasion sites. Following removal, species similarity between seed bank and vegetation improved for all three sites. Our results indicate that removal of Rosa multiflora (multiflora rose) alone increased native plant biodiversity in the medium invasion scenario, but the seed bank may not provide a large native species pool. Additional management strategies lead to improved outcomes, especially in our most invaded forest, demonstrating the need to conduct multiple plant removal treatments across forests with varying site conditions and plant invasion intensity to improve management recommendations.
Measurements of soil nutrient leaching from agricultural depressions and uplands in Iowa, USA
We measured the leaching of nitrate, ammonium, and phosphorus in resin lysimeters installed along topographic transects from depressions to uplands within agricultural fields in Iowa, USA. Lysimeters were each installed for approximately one year. Crops included conventional corn and soybean, corn and soybean with a winter rye cover crop, and corn and soybean fields where depressions were planted with miscanthus. Measurements were made during 2018, 2019, and 2020, although not all transects could be measured each year. There were a total of 28 transect-years that included data from 734 individual resin lysimeters.
Organic and inorganic carbon concentration and stable isotope composition in poorly drained agricultural soils in Iowa, USA
We measured soil organic carbon (SOC) and inorganic carbon (carbonate) in samples collected along topographic gradients in agricultural fields in Iowa, USA, in 2018. We also measured stable isotopes of SOC, soil nitrogen, and carbon in respired CO2 to provide additional context for organic matter dynamics. Additional physical, chemical, and hydrologic variables were measured on these samples and in the field sites to understand mechanisms underlying patterns in soil organic and inorganic carbon.
Less fuel for the next fire? Short-interval fire delays forest recovery and interacting drivers amplify effects, Greater Yellowstone Ecosystem, Montana and Wyoming, USA
As 21st-century climate and disturbance dynamics depart from historical baselines, ecosystem resilience is uncertain. Multiple drivers are changing simultaneously, and interactions among drivers could amplify ecosystem vulnerability to change. We explored how interacting drivers affected post-fire recovery of subalpine forests, which Subalpine forests in Greater Yellowstone (Northern Rocky Mountains, USA) were historically resilient to infrequent (100-300 year), severe fire., in Greater Yellowstone (Northern Rocky Mountains, USA). We sampled paired short- (< 30 year) and long- (> 125 year) interval post-fire plots most recently last burned between 1988 and 2018 to address two questions: (1) How do short-interval fire, climate, topography, and distance to unburned live forest edge and other factors (topography, distance to live edge) interact to affect post-fire forest recoveryregeneration? (2) How do forest biomass and fuels vary following short- versus long-interval severe fires? Mean post-fire live stem density was an order of magnitude lower following short- versus long-interval fires (3,240 versus 28,741 stems ha-1, respectively). Differences between paired plots increased with greater climate water deficit normal (ρ = 0.67) and were amplified at longer distances to live forest edge. Surprisingly, warmer-drier climate was associated with higher seedling densities even after short-interval fire, likely relating to regional variation in serotiny of lodgepole pine (Pinus contorta var. latifolia). Unlike conifers, density of aspen (Populus tremuloides), a deciduous resprouter, increased with short- versus long-interval fire (mean 384 versus 62 stems ha-1, respectively). Live biomass and canopy fuels remained low nearly 30 years after short-interval fire, in contrast to rapid recovery after long-interval fire, suggesting that future burn severity may be reduced for several decades following reburns. Short-interval plots also had half as much dead woody biomass compar
Leaf angle measurements for temperate tree species in northeastern USA
Leaf angle distribution (LAD) measurements were made during the growing season in 2021 at the Harvard Forest in Petersham, MA, USA, and in 2022 at the Thompson Farm Earth Systems Observatory in Durham, NH, USA. At both sites, a level-calibrated digital angle tool was used to measure LAD in upper canopy foliage of common northeastern temperate tree species accessed using a mobile canopy lift. Additionally, at Thompson Farm, measurements were made at multiple heights to characterize differences of LAD in high, middle, and low canopy positions. Here, we have published those measurements, including a summary table of species average leaf angles and calculated parameters for fitted beta distributions. Processing scripts can be made available upon request to the authors. Additionally, leaf chemical, physical, structure, optical and physiological traits have been measured at these site as well as canopy scale measures of structure and UAV-based spectral, thermal, and lidar imagery.
Bathymetric data for Lake Sunapee, NH, USA
This dataset includes four raster layers of bathymetry data for the basin of Lake Sunapee, NH, USA. They are in ESRI grid format, UTM NAD83 (zone 19) with 1.3m grid cells. They were created in 2008 by Digital Bathymetrics (www.bathymetrics.com) for June Fichter of the Lake Sunapee Protective Association (LSPA) and Kathleen Weathers of the Cary Institute of Ecosystem Studies. All depths were adjusted to the mean summer pool elevation of Lake Sunapee which is 1093 feet above sea level.
Spatial Survey of Water Quality in Lake Arrowhead, TX, USA
A rapid spatial survey of surface water was conducted in in Lake Arrowhead, Texas, USA on 2022 Aug 12. A sensor-equipped boat (Whaler Montawk 210) covered 62.3 km in 180 minutes, prioritizing water overlying the main river channel and navigable sections of reservoir arms. The mean boat speed over the entire survey was 21 km/hr, but in deeper water speeds of 30 to 55 km/hr were common. With this method, a pump brings surface lake water through a transom-mounted intake pipe onto the boat deck in a continuous flow-through system that contains a YSI Exo 2 sonde, flow cell, and probes for turbidity, specific conductivity, pH, and water temperature. A Garmin GPS 18X LVC was used to log latitude, longitude, and boat speed. All sensor and GPS data were logged in the field at 1 s intervals.
Geochemical characterization of mineral particulate aggregates and associated biomass collected in boreholes at the Soudan Underground Mine State Park, Soudan, MN, USA.
Mineral and biological samples were collected from boreholes on the 27th level of the Soudan Underground Mine State Park, Soudan, MN, USA. These samples were characterized in order to describe the biogeochemical cycling of iron and sulfur in the crustal regions accessed by the mine's boreholes as well as the microbial communities supported by and responsible for that biogeochemical cycling. The mineral samples were characterized through X-ray diffraction and Fe XANES, the microbial biomass associated with the mineral aggregates was characterized through C XANES, and the microbial community was characterized through the assembly of metagenomes.
Adirondack Public Good Events Database: Natural Resource, Environmental, Economic and Recreation Policy and Common Pool Resources for a Social-Ecological System in Adirondack Park, New York, USA, 1760-2020.
I assembled this dataset from various published sources to evaluate how the social-ecological system (SES) in Adirondack Park, New York changed through time and the interplay of public goods (Common Pool Resources, CPRs), public land rules and private land rights, and related concepts over 260 years (1760-2020). The database was the basis for a doctoral dissertation titled "Blue Lining: Assessing the Resilience of Adirondack Park, New York Using Polycentricity and Panarchy Frameworks." The goal of the dissertation was to assess patterns and changes in institutional rules, actors and arrangements before and after establishment of the public Adirondack Forest Preserve in 1885 and Adirondack Park in 1892 as those actors and rules were modified and as both internal and external events influenced the SES as it moved through different phases of the adaptive cycle through space and time (see panarchy). Using the database, I identified which organizations and events contributed to natural resource and CPR policy. The dissertation can be downloaded here: https://experts.esf.edu/esploro/outputs/99917370604826.
Cold-air pooling characterization and forest composition, New England, USA
This dataset corresponds to a project investigating whether cold-air pooling influences forest composition and function. The data include hourly sub-canopy air temperatures (measured continuously via ibuttons) and forest forest composition data for 48 plots along 9 transects in 3 sites across New England, USA. The temperature data also include surface lapse rates and temperature gradients across transects, as well as a designation indicating the presence or absence of a temperature inversion. We found that sites with the most frequent temperature inversions also displayed vegetation inversions across slopes, with more cold-adapted species at low instead of high elevations.
Extreme Drought in Grasslands Experiment (EDGE): High frequency measurements from the northern Chihuahuan Desert site, Sevilleta National Wildlife Refuge, NM, USA (2013-2023)
The Extreme Drought in Grasslands Experiment (EDGE) is distributed across six representative grassland ecosystems of the central United States. EDGE serves as an important research platform for understanding the resistance and resilience of these grassland ecosystems to extreme prolonged drought as well as to changes in precipitation seasonality. This data package contains high-frequency environmental sensor measurements from the northern Chihuahuan Desert site, dominated by black grama (Bouteloua eriopoda), located in the Sevilleta National Wildlife Refuge in central New Mexico.
Extreme Drought in Grasslands Experiment (EDGE): High frequency measurements from the southern Great Plains site, Sevilleta National Wildlife Refuge, NM, USA (2013-2023)
The Extreme Drought in Grasslands Experiment (EDGE) is distributed across six representative grassland ecosystems of the central United States. EDGE serves as an important research platform for understanding the resistance and resilience of these grassland ecosystems to extreme prolonged drought as well as to changes in precipitation seasonality. This data package contains high-frequency environmental sensor measurements from the southern Great Plains site, dominated by blue grama (Bouteloua gracilis), located in the Sevilleta National Wildlife Refuge in central New Mexico.
Metabolism estimates from dissolved oxygen and inorganic carbon in the Upper Clark Fork River, MT, USA.
This package provides necessary supporting data and models for the manuscript titled "Divergent metabolism estimates from dissolved oxygen and inorganic carbon: implications for river carbon cycling". The entire dataset consists of sensor data collected at three reaches and metabolism estimates from different models. The sensor data include partial pressure of carbon dioxide in water, dissolved oxygen and temperature. At each reach, we established a two station approach, meaning at least one pair of sensor suits were distributed upstream and downstream. Results for metabolism estimates differ by solutes (i.e., oxygen or carbon based) and modelling approaches (i.e., single station or two station approach). In addition to data products, we also provide R packages for metabolism models.
Leaf litter quality induces morphological changes in wood frog (Lithobates sylvaticus) metamorphs, Oakland University Biological Preserve (MI, USA) 2010.
For organisms that exhibit complex life cycles, resource conditions experienced by individuals before metamorphosis can strongly affect phenotypes later in life. Such resource-induced effects are known to arise from variation in resource quantity, yet little is known regarding effects stemming from variation in resource quality (e.g., chemistry). For larval anurans, we hypothesized that variation in resource quality will induce a gradient of effects on metamorph morphology. We conducted an outdoor mesocosm experiment in which we manipulated resource quality by rearing larval wood frogs (Lithobates sylvaticus) under 11 leaf litter treatments. The litter species represented plant species found in open- and closed-canopy wetlands and included many plant species of current conservation concern (e.g., green ash, common reed). Consistent with our hypothesis, we found a gradient of responses for nearly all mass-adjusted morphological dimensions. Hindlimb dimensions and gut mass were positively associated with litter nutrient content and decomposition rate. In contrast, forelimb length and head width were positively associated with concentrations of phenolic acids and dissolved organic carbon. Limb lengths and widths were positively related with the duration of larval period, and we discuss possible hormonal mechanisms underlying this relationship. There were very few, broad differences in morphological traits of metamorphs between open- and closed-canopy litter species or between litter and no-litter treatments. This suggests that the effects of litter on metamorph morphology are litter species-specific, indicating that the effects of changing plant community structure in and around wetlands will largely depend on plant species composition.
Data and code from: A mixture of grass-legume cover crop species may ameliorate water stress in a changing climate, a greenhouse experiment at Dickinson College in Carlisle, PA, USA, 2021.
Data and R code associated with a greenhouse study investigating the influence of water stress on growth, root traits, and biomass of rye and crimson clover seedlings grown separately or together. Data were collected in the Dr. Inge P. Stafford Greenhouse of Dickinson College (Carlisle PA, USA) in June 2021.
Identifying hotspots of soil legacy phosphorus for soil P remediation on a cattle ranch in the Headwaters of the Everglades, South Central Florida, USA, 2020.
Phosphorus (P) cycling has been altered by human activities across various scales. 'Soil legacy P,' driven by agricultural changes such as excessive P fertilization and manure input, has led to P accumulation in soils. These legacy P reserves are long-term non-point sources, causing downstream eutrophication. Despite considerable scientific and policy interest, the fine-scale spatial heterogeneity, underlying drivers, and scales of variance of legacy P remain poorly understood. This dataset comprises of 1,438 surface soils sampled in 2020 across two typical subtropical grasslands managed for livestock production in South Central Florida, USA. The types of grasslands sampled were Intensively-managed or Improved pastures (IM), and Semi-native (SN) pastures. Chemical analysis was performed on the soil samples to determine three soil legacy P measurements (total P, Mehlich-1 and Mehlich-3 extractable P representing labile P pools) across the landscape. Other variables analyzed includedsoil organic matter, pH, available Fe and Al. Additionally, aboveground biomass samples were collected at a subset of soil sites, and analyzed for P content. The key questions regarding soil legacy P related to: its spatial variability and hotspots, variance distribution, relationship to land management and soil characteristics, and correlation with aboveground plant tissue P concentration. Subsequent analysis and spatial autoregressive modeling from this dataset revealed extreme variability of soil P at small scales, with diminishing variance as spatial scale increased, and increased variance in IM vs SN pastures. These findings enhance our understanding of the underlying drivers, spatial patterns, and variances of soil legacy P. Research suggests that broad pasture- or farm-level best management practices may be limited and less efficient, particularly for high-intensity pastures. Instead, management strategies to reduce soil legacy P could be implemented at fine scales, targeting P hots
Sevilleta Field Station Meteorological Network (SevMET): High frequency measurements from the Black Butte Meteorological Station (BLBT), Sevilleta National Wildlife Refuge, NM, USA, 2024-ongoing.
The Sevilleta Field Station Meteorological Network (SevMET) is a spatially distributed, long-term climate monitoring network established to enhance and expand climate monitoring across a variety of dryland ecosystems (e.g., grasslands, shrublands, woodlands) within the Sevilleta National Wildlife Refuge in central New Mexico. Ecosystem processes in drylands are strongly regulated by climatic drivers that are highly variable in space and time, both within and among years. Therefore, accurate measurement of environmental variables at high spatial and temporal resolution is fundamental to understanding biophysical processes in these ecosystems. SevMET consists of fifteen standardized research-grade weather stations located across multiple dryland ecosystem types (e.g., grasslands, shrublands, woodlands) representative of the southwestern US. Stations continuously measure a standard suite of meteorological variables at five-minute intervals, including air temperature, relative humidity, precipitation, photosynthetically active radiation, incoming shortwave radiation, wind speed and direction, dew point, vapor pressure, and, at a subset of stations, barometric pressure. Stations also measure a suite of soil parameters (bulk electrical conductivity, dielectric permittivity, temperature, and volumetric water content) at six depths (5, 10, 20, 30, 40, and 50 cm) below the ground surface using 1-2 integrated soil profilers. Additionally, phenocams at each station capture images at thirty-minute intervals during daylight hours. This data package contains high-frequency meteorological measurements from the Black Butte Meteorological Station (BLBT). Phenocam images can be accessed through the PhenoCam Network at: https://phenocam.nau.edu/webcam/sites/sevmetblbt/. These data complement and extend meteorological data recorded by an adjacent station (Met54), accessible at: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sev&identifier=1.
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.