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510 results for “storms”

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dryad40/100

Solar wind plasma, magnetic field parameters and geomagnetic storm index SYM-H from 2000 to 2020

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publicApr 2023View details →
dryad40/100

Fledging of Leach's Storm-Petrel chicks from Gull Island

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publicDec 2023View details →
dryad40/100

Spatial modelling of aerial survey data reveals an important European storm-petrel hotspot and its underlying drivers within the North-East Atlantic

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publicJun 2025View details →
dryad40/100

Northeast US Regional NEXRAD radar mosaics of winter storms from 1996-2023, part 2

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publicOct 2023View details →
dryad40/100

Northeast US Regional NEXRAD radar mosaics of winter storms from 1996-2023, part 1

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publicOct 2023View details →
edi40/100

Ice Storm Mycorrhizal Fungi data for Yancey et al. in press

Extreme weather events, such as ice storms, are increasing and have potentially large impacts on forests, including belowground structures such as fine roots and mycorrhizal fungi. Many forest trees rely on the mutualistic relationship between mycorrhizal fungi and plants; a relationship that when disrupted can negatively impact tree net primary productivity. We took advantage of a large-scale ice storm manipulation in the northeastern United States (US) to test the hypothesis that increasing ice storm intensity and frequency would reduce ectomycorrhizal fungal root tips per unit root length and arbuscular mycorrhizal fungal structures per unit root length, hereafter colonization. We found that ice storm intensity reduced spring ectomycorrhizal fungal and arbuscular mycorrhizal fungal colonization. However, these patterns changed in the fall where ice storm intensity still reduced ectomycorrhizal fungal root tips, but arbuscular mycorrhizal fungal colonization was higher in ice storm treatments than controls. The amount of ectomycorrhizal fungal root tips and arbuscular mycorrhizal fungal colonization differed seasonally: ectomycorrhizal fungal root tips were 1.7× higher in the spring than in the fall, while arbuscular mycorrhizal fungal colonization was 3× higher in the fall than in the spring. Our results indicate that mycorrhizal fungal colonization responses to ice storm severity vary temporally and by mycorrhizal fungal type. Further, arbuscular mycorrhizal fungi may recover from ice storms relatively quickly, potentially aiding forests in their recovery, whereas ice storms may have a longer lasting impact on ectomycorrhizal fungi.

openCC (other)Apr 2023View details →
edi40/100

Forest Inventory of the Ice Storm Experiment (ISE) plots at the Hubbard Brook Experimental Forest

As the climate changes, it is thought that ice storms will begin to occur with increasing frequency. This project evaluates the damage and changes ice storms cause to northern hardwood forests in forest structure, nutrient cycling and carbon storage. Ten 20x30 meter plots were established in a predominately sugar maple stand, with four icing treatments and 2 control plots. This data set includes species and diameter breats height measurements of every tree with a DBH greater than or equal to 5 cm, as of June 2015. Trees will be remeasured every spring until 2019. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.

openCC (other)Jan 2020View details →
edi40/100

Soil respiration from the Ice Storm Experiment (ISE) at the Hubbard Brook Experimental Forest

An ice storm simulation was performed at the Hubbard Brook Experimental Forest to evaluate impacts of these extreme weather events on northern hardwood forests. Water was pumped from the main branch of Hubbard Brook and sprayed above the forest canopy in subfreezing conditions so that it rained down and froze on contact with trees. The experiment included five ice storm intensities (0, 6.4, 12.7 and 19.1 mm radial ice accretion) applied in a single year, and one ice storm intensity (12.7 mm) applied in two consecutive years. Measurements of soil respiration were made with an infrared gas analyzer during the snow-free season before and after the ice was applied. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.

openCC (other)Jun 2021View details →
edi40/100

Hubbard Brook Experimental Forest: Ice Storm Experiment Trace Gas

Trace gas fluxes were measured using the in situ chamber design similar to that described by Bowden and others (1990, 1991). Static gas soil sampling chambers (four per plot) of 20 cm diameter (ID) polyvinyl chloride (PVC) were placed on permanently installed PVC base rings immediately prior to measurement. At 0, 10, 20, and 30 min following placement of the chamber on the base, 8-mL gas samples were collected from gas sampling ports in the center of the chamber top by syringe. Samples were transferred to evacuated glass vials and stored at room temperature prior to analysis by gas chromatography (GC). CO2, N2O, and CH4 were analyzed on a Shimadzu GC-14 GC with thermal conductivity (CO2), electron capture (N2O), and flame ionization (CH4) detectors. These GC’s were capable of detecting ambient levels of these gases. Fluxes were calculated from the linear rate of change in gas concentration, the chamber internal volume and soil surface area. Flux rate calculations were not corrected for actual in situ temperature and pressure. Single points were removed from regressions if they were more than six times higher or lower than the other three values or if they contradicted a clear trend in the other three points. This procedure prevents inclusion of high flux rates based on non-significant regressions. Non-significant regressions were used in flux calculations to avoid biasing the statistical distribution of rates by setting all non-significant regressions to zero. Gas samples were collected prior to any icing treatment in September and October 2015, and then for 2 years after the icing treatments were initially applied (1st icing: 1/27/16; 2nd icing, only in MIDx2 plots: 1/14/17) in August 2016, July 2017, and October 2017.

openCC (other)Nov 2019View details →
edi40/100

Measurements of gross N cycling rates in the soils of the Ice Storm Experiment (ISE) plots at the Hubbard Brook Experimental Forest

As the climate changes, it is thought that ice storms will begin to occur with increasing frequency. This project evaluates the damage and changes ice storms cause to northern hardwood forests in nutrient cycling. Ten 20x30 meter plots were established in a predominately sugar maple stand, with 4 icing treatments and 2 control plots. This data set includes gross ammonification, gross ammonium consumption, gross nitrification, and gross nitrate consumption monitored in the Ice Storm Experiment plots at the Hubbard Brook Experimental Forest from 2015-2017.

openCC (other)Nov 2019View details →
edi40/100

Measurements of N cycling dynamics in the soils of the Ice Storm Experiment (ISE) plots at the Hubbard Brook Experimental Forest

As the climate changes, it is thought that ice storms will begin to occur with increasing frequency. This project evaluates the damage and changes ice storms cause to northern hardwood forests in nutrient cycling. Ten 20x30 meter plots were established in a predominately sugar maple stand, with 4 icing treatments and 2 control plots. This data set includes soil nitrate (NO3-) and ammonium (NH4+) concentrations, microbial biomass carbon (C ) and nitrogen (N) content, microbial respiration, potential nitrification and N mineralization rates determined via lab incubation and in situ field incubations, denitrification potential, and organic matter content monitored in the Ice Storm Experiment plots at the Hubbard Brook Experimental Forest from 2015-2017.

openCC (other)Nov 2019View details →
edi40/100

Ice thickness measurements from the Ice Storm Experiment (ISE) at the Hubbard Brook Experimental Forest

An ice storm simulation was performed at the Hubbard Brook Experimental Forest to evaluate impacts of these extreme weather events on northern hardwood forests. Water was pumped from the main branch of Hubbard Brook and sprayed above the forest canopy in subfreezing conditions so that it rained down and froze on contact with trees. The experiment consisted of five treatments, including a control (no ice) and three target levels of radial ice accretion: low (6.4 mm), mid (12.7 mm), and high (19.0 mm). Two of the mid-level treatment plots (midx2) were iced in back-to-back years to evaluate impacts of consecutive storms. The ice accretion values reported are measurements made on passive collectors using both digital calipers and a water volume approach. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.

openCC (other)Jun 2020View details →
edi40/100

Throughfall water volume and chemistry from the Ice Storm Experiment (ISE) at the Hubbard Brook Experimental Forest

An ice storm simulation was performed at the Hubbard Brook Experimental Forest to evaluate impacts of these extreme weather events on northern hardwood forests. Water was pumped from the main branch of Hubbard Brook and sprayed above the forest canopy in subfreezing conditions so that it rained down and froze on contact with trees. The experiment included five ice storm intensities (0, 6.4, 12.7 and 19.1 mm radial ice accretion) applied in a single year, and one ice storm intensity (12.7 mm) applied in two consecutive years. The volume and chemistry of throughfall was quantified and fluxes of major elements were calculated. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.

openCC (other)Jun 2020View details →
edi40/100

Hubbard Brook Experimental Forest: Ice Storm Experiment - fine root biomass and ingrowth

Fine root (< 1mm diameter) biomass and fine root growth were measured in the ISE plots to test the hypothesis that ice damage to the canopy would cause a reduction in root production. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.

openCC (other)Jun 2020View details →
edi40/100

Plasticine caterpillar predation data from the Ice Storm Experiment (ISE) plots

Large-scale disturbances such as ice storms may increase in frequency and intensity as climate changes. While disturbances are a natural component of forest ecosystems, climatically driven alteration to historical patterns may impart fundamental change to ecosystem function. At Hubbard Brook Experimental Forest, NH, experimental ice storms of varying severity were applied to replicate plots of mature northern hardwoods to quantify their effects on forested ecosystems. We assessed ice storm treatment effects on insectivorous foliage-gleaning birds and their interactions with larval Lepidoptera. These birds are charismatic, of conservation concern, and are a major predator of caterpillars. In turn, lepidopterans are the dominant herbivores in temperate forests and are integral to ecosystem function. We predicted that avian abundance would increase due to additional structural heterogeneity caused by ice treatments, with a concomitant increase in caterpillar predation. Point counts were used to measure insectivorous bird activity in the ice storm experiment plots and additional control plots before and after treatments. Point counts were conducted in June 2015 and June 2016. Icing occurred in January-February 2016. We deployed and retrieved plasticine model caterpillars and estimated predation from characteristic marks to these surrogates. Abundance of foliage-gleaning birds was higher in the ice storm plots and birds responded to treatments as a single diffuse disturbance rather than on an individual plot level. All species except one were observed both before and after the ice treatments. Surprisingly, predation on caterpillar models was unaffected by ice storm treatments but rather was a function of caterpillar density. The increase in avian abundance in the ice storm treatment plots corroborates other studies of bird responses to relatively small-scale disturbances in forests and the limited change in species composition was expected given the plot size. We conclud

openCC (other)Jun 2020View details →
edi40/100

Avian point count data from the Ice Storm Experiment (ISE) plots

Large-scale disturbances such as ice storms may increase in frequency and intensity as climate changes. While disturbances are a natural component of forest ecosystems, climatically driven alteration to historical patterns may impart fundamental change to ecosystem function. At Hubbard Brook Experimental Forest, NH, experimental ice storms of varying severity were applied to replicate plots of mature northern hardwoods to quantify their effects on forested ecosystems. We assessed ice storm treatment effects on insectivorous foliage-gleaning birds and their interactions with larval Lepidoptera. These birds are charismatic, of conservation concern, and are a major predator of caterpillars. In turn, lepidopterans are the dominant herbivores in temperate forests and are integral to ecosystem function. We predicted that avian abundance would increase due to additional structural heterogeneity caused by ice treatments, with a concomitant increase in caterpillar predation. Point counts were used to measure insectivorous bird activity in the ice storm experiment plots and additional control plots before and after treatments. Point counts were conducted in June 2015 and June 2016. Icing occurred in January-February 2016. We deployed and retrieved plasticine model caterpillars and estimated predation from characteristic marks to these surrogates. Abundance of foliage-gleaning birds was higher in the ice storm plots and birds responded to treatments as a single diffuse disturbance rather than on an individual plot level. All species except one were observed both before and after the ice treatments. Surprisingly, predation on caterpillar models was unaffected by ice storm treatments but rather was a function of caterpillar density. The increase in avian abundance in the ice storm treatment plots corroborates other studies of bird responses to relatively small-scale disturbances in forests and the limited change in species composition was expected given the plot size. We conclud

openCC (other)Jun 2020View details →
edi40/100

Canopy cover data from the Ice Storm Experiment (ISE) plots

Large-scale disturbances such as ice storms may increase in frequency and intensity as climate changes. While disturbances are a natural component of forest ecosystems, climatically driven alteration to historical patterns may impart fundamental change to ecosystem function. At Hubbard Brook Experimental Forest, NH, experimental ice storms of varying severity were applied to replicate plots of mature northern hardwoods to quantify their effects on forested ecosystems. We assessed ice storm treatment effects on insectivorous foliage-gleaning birds and their interactions with larval Lepidoptera. These birds are charismatic, of conservation concern, and are a major predator of caterpillars. In turn, lepidopterans are the dominant herbivores in temperate forests and are integral to ecosystem function. We predicted that avian abundance would increase due to additional structural heterogeneity caused by ice treatments, with a concomitant increase in caterpillar predation. Point counts were used to measure insectivorous bird activity in the ice storm experiment plots and additional control plots before and after treatments. Point counts were conducted in June 2015 and June 2016. Icing occurred in January-February 2016. We deployed and retrieved plasticine model caterpillars and estimated predation from characteristic marks to these surrogates. Abundance of foliage-gleaning birds was higher in the ice storm plots and birds responded to treatments as a single diffuse disturbance rather than on an individual plot level. All species except one were observed both before and after the ice treatments. Surprisingly, predation on caterpillar models was unaffected by ice storm treatments but rather was a function of caterpillar density. The increase in avian abundance in the ice storm treatment plots corroborates other studies of bird responses to relatively small-scale disturbances in forests and the limited change in species composition was expected given the plot size. We conclud

openCC (other)Jun 2020View details →
edi40/100

Coarse Woody Debris of the Ice Storm Experiment (ISE) plots at the Hubbard Brook Experimental Forest

The ice storm experiment was a novel experimental approach creating a suite of ice storms in a mature hardwood forest in New Hampshire, USA. The experiment included five ice storm intensities (0, 6.4, 12.7, and 19.1 mm radial ice accretion) applied in a single year, and one ice storm intensity (12.7 mm) applied in two consecutive years. This dataset quantifies the coarse woody debris transferred from the forest canopy to the soil under the different icing conditions. In this forest, little damage occurred below 6.4 mm radial ice accretion, moderate damage occurred with up to 12.7 mm of accretion, and significant branch breakage and canopy damage occurred with 19.1 mm of ice. The icing in consecutive years demonstrated an interactive effect of ice storm frequency and severity such that some branches damaged in the first year of icing appeared to remain in the canopy and then fall to the ground in the second year of icing. These results have implications for National Weather Service ice storm warning levels, and they provide a quantitative assessment of ice-load related inputs of forest debris that will be useful to municipalities creating response plans for current and future ice storms. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.

openCC (other)Jun 2021View details →
edi40/100

Spray water volume and chemistry from the Ice Storm Experiment (ISE) at the Hubbard Brook Experimental Forest

The volume of water applied per plot was calculated as the product of application time and water flow (302.8 L/min). Two hoses sprayed water simultaneously and we estimated that 90% of the spray was applied inside the plot. To construct chemical budgets for the treatments, a 60 ml aliquot of Hubbard Brook stream water was collected prior to each icing, and analyzed for sulfate (SO4), nitrate (NO3) and chloride (Cl) on a Metrohm® Ion Chromatograph; calcium (Ca), magnesium (Mg), potassium (K), and sodium (Na) on an Agilent® 730 ICP optical emission spectrometer; dissolved organic carbon (DOC) and total dissolved nitrogen (TDN) on a Shimadzu® TOCV with a TNM-1 nitrogen (N) detector; and ammonium (NH4) by colorimetry on a SEAL Analytical AQ2 discrete analyzer at the Louis C<emphasis role="strong">.</emphasis> Wyman Forest Sciences Laboratory, Durham, NH. Dissolved organic N (DON) was calculated as the difference between TDN and inorganic N (NO3-N + NH4-N). Total mass of elements applied to the canopy as iced ‘precipitation’ was calculated as the ‘precipitation’ chemistry from the stream aliquot multiplied by the ‘precipitation’ volume for each plot.

openCC (other)Jun 2020View details →
edi40/100

Ice Storm Experiment (ISE) Canopy Structure Data, 2015-present

To evaluate the effects of ice storm disturbance on forest canopy structure and complexity terrestrial lidar data were collected within the Hubbard Brook Ice Storm Experiment plots starting in 2015 (prior to ice treatment) and annually thereafter. Data were collected using a ground-based portable canopy lidar (PCL) system during the growing season in August of each year along 5 permanently marked 30 m transects in each 20 x 30 m ISE plot. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.

openCC (other)May 2021View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record