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.
167
datasets available to search
ShareScore release 0.9.0
Dataset results
167 results for “forest influence”
Factors Influencing Aboveground Carbon Storage in Mixed Oak-Pine Forests: USDA FIA Data from Southeastern U.S. (2009-2019)
This study explores factors affecting aboveground carbon (AGC) storage in mixed oak-pine forests across the Southeastern United States. Utilizing USDA Forest Inventory and Analysis (FIA) data from 2009 to 2019, the research spans nine states: Alabama, Mississippi, Florida, Georgia, North Carolina, South Carolina, Texas, Louisiana, and Virginia. Data processing in R included converting units to the metric system and calculating structural diversity using Shannon diversity indices. Climate data from the PRISM Climate Group were integrated with FIA data using longitude and latitude. The research aims to uncover how various factors influence AGC storage and contribute to informed forest management practices.
Influence of biogenic emissions from boreal forests on aerosol-cloud interactions
<p>Datasets that support the major results of the study "Influence of biogenic emissions from boreal forests on aerosol-cloud interactions".</p> <p>Acknowledgements: </p> <p>The work was supported by Academy of Finland via Center of Excellence in Atmospheric Sciences (project no. 272041), Flagship program for Atmospheric and Climate Competence Center (ACCC, 337549, 337552, 337550) and grants 317380, 320094 and 334792, 328290, 302958, 1325656, 316114, 325647, 1325681 and 341271, European Research Council Advanced Grants (227463-ATMNUCLE, 742206-ATM-GTP,) and Starting Grants (638703-COALA, 714621-GASPARCON), the Arena for the gap<br> analysis of the existing Arctic Science Co-Operations (AASCO) funded by Prince Albert Foundation Contract No 2859, and “Quantifying carbon sink, CarbonSink+ and their interaction with air quality” INAR project funded by Jane and Aatos Erkko Foundation. This work was partly supported by the Office of Science (BER), U.S. Department of Energy via BAECC<br> (Petäjä, DE-SC0010711), BAECC-SNEX (Moisseev), European Commission via projects This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 821205 (Understanding and reducing the long-standing uncertainty in anthropogenic aerosol radiative forcing, FORCeS) and ACTRIS, ACTRIS-TNA,<br> ACTRIS2, ACTRIS-IMP, BACCHUS, eLTER, ICOS, PEGASOS and Nordforsk via Cryosphere-Atmosphere Interactions in a Changing Arctic Climate, CRAICC, The BAECC SNEX was also supported by NASA Global Precipitation Measurement (GPM) Mission ground validation program. The deployment of AMF2 to Hyytiälä was enabled and supported by ARM. Argonne National<br> Laboratory's work was supported by the U.S. Department of Energy, Assistant Secretary for Environmental Management, Office of Science and Technology, under contract DE-AC02-06CH11357. The authors gratefully acknowledge the support of AMF2, SMEAR2 and the BAECC community for their support in initiating the BAECC campaign, its implementation,<br> operation, data analysis and interpretation. </p>
Supporting data for "Forest carbon uptake as influenced by snowpack and length of photosynthesis season in seasonally snow-covered forests of North America"
<p>This is a supporting dataset for the paper :</p> <div> <div>Yang, J. C., Bowling, D. R., Smith, K. R., Kunik, L., Raczka, B., Anderegg, W. R. L., Bahn, M., Blanken, P. D., Richardson, A. D., Burns, S. P., Bohrer, G., Desai, A. R., Arain, M. A., Staebler, R. M., Ouimette, A. P., Munger, J. W., and Litvak, M. E.: Forest carbon uptake as influenced by snowpack and length of photosynthesis season in seasonally snow-covered forests of North America, Agricultural and Forest Meteorology, 353, 110054, <a href="https://doi.org/10.1016/j.agrformet.2024.110054">https://doi.org/10.1016/j.agrformet.2024.110054</a>, 2024.</div> </div> <p>Descriptions and units for each column can be found in a dedicated page within the data file. Methods are decribed in the paper.</p>
Understanding the Influences of Forest Type, Cover Board Type and Weather on Salamanders
Salamanders are vital bioindicators that function to support a terrestrial forest ecosystem. The continuous loss of amphibian species and their habitat can have profound impacts on terrestrial systems. In terrestrial environments, salamanders use natural cover for refuge, foraging, and maintaining moisture; however, artificial cover has commonly been used to survey and conserve these species. The objective of this study was to assess terrestrial salamander preference for natural versus artificial coverboards in relation to forest stands in two successional stages located within the James H. Barrow Biological Field Station (Hiram, Ohio). Ten artificial (particle board, 30 x 33 cm) and ten natural (white ash, 30 x 30 cm) coverboards were placed in two 50 m parallel transects arranged 2 m apart within transitional and mature forests. Surveys were conducted weekly between the second week of September and the second week of November from 2018 to 2021. Average weakly precipitation and max temperature were recorded. Both abundance and species richness were significantly higher under natural coverboards and in the transitional forest. There were also correlation between species richness and abundance with daily max temperature and weakly precipitation. 678 individuals across five species were found: Eastern Red-Backed Salamander, Spotted Salamander, Four-Toed Salamander, Red-Spotted Newt, and Northern Two-Lined Salamander. Eastern Red-Backed Salamanders were the most abundant species within both mature and transitional forests. Natural coverboards may be a better method to survey terrestrial salamanders because artificial coverboards are comprised of wood chippings, wax and adhesives which may alter soil permeability for less favorable conditions.
Seasonal relationships between soil respiration and water-extractable carbon as influenced by soil temperature and moisture in forest soils of the Andrews Experimental Forest, 1992-1993
The overall objective of this study is to model trace gas emissions from forest soils of the H. J. Andrews Experimental Forest. This is to be accomplished by studying trace gas emissions and related variable at a set of 20 permanent plots at the HJA.
Riparian zone seedling establishment, growth, dynamics, and the influence of Rhododendron maximum soil moisture: forest floor data at the Coweeta Hydrologic Laboratory from 1997 to 2000
The effect of Rhododendron maximum, a dominate species in the riparian zones of the Southern Appalachians, on carbon, water, and nutrients en route to the streams is an ongoing study in the LTER research program at Coweeta Hydrologic Laboratory. To study seedling establishment, growth, and dynamics in riparian zones one m2 quadrats have been established. There are four sites which include one treatment site, where the rhododendron has been removed from the riparian zone, one hurricane site, where there is extensive disturbance from Hurricane Opal, and two control sites, one upslope from the treatment site and one upstream from the hurricane site. Each of these fours sites have ten randomly located natural regeneration one m2 quadrats as well as four randomly located replicates of three adjacent one m2 quadrats. In each of the three adjacent quadrats, the litter was removed from the lower half to determine the effect of litter on the germination and growth of seedlings. Two of the adjacent quadrats have been broadcast seeded with Acer rubrum, Liriodendron tulipifera, and Quercus rubra. In one of the two quadrats that have been broadcast seeded, a predator exclusion mesh screen, 1m x 1/2m with " openings, has been installed in the quadrat to determine the effect of small mammal predation on regeneration. Quadrats were installed on 24 April 1997 and an initial vegetation survey was conducted in May 1997. All seedlings were permanently tagged at this time and quadrat physical characteristics such as slope, aspect, and distance from stream were recorded. Broadcast seeding was done on 21 May 1997. Each year censuses will be conducted in spring and fall on each quadrat and seedling species, density, age, and annual height growth will be recorded. This project will help to document the effect of Rhododendron maximum on regeneration in the riparian areas as well as the effect of hurricane disturbance on regeneration.
Fig. 4 in From forests to cattail: how does the riparian zone influence stream fish?
Fig. 4. Biplot resulting from Nonmetric Multidimensional Scaling Analysis (NMDS) with presence and absence data showing ordination of sample units that represent each stream group: preserved (PRE, open circles), intermediate (INT, dark circles), and degraded sites (DEG, triangles). NMDS biplot exhibited stress value of 0.15 in 2-dimension, indicating good to potential useful interpretation (Clarke & Warwick, 2001).
Fig. 5 in From forests to cattail: how does the riparian zone influence stream fish?
Fig. 5. Biplot of the Partial Redundancy Analysis (pRDA) on fish species composition (see abbreviations on Table 2) and abiotic variables relationships (arrows). Species with low abundance were not represented in the biplot following the option "orditorp r" in the package vegan of the software R 2.11.1.
Fig. 3 in From forests to cattail: how does the riparian zone influence stream fish?
Fig. 3. Sample-based rarefaction curve (Obs) and richness estimation curves (Chao 1) by 50 randomizations against cumulative samples of the preserved (PRE), intermediate (INT), and degraded (DEG) sites.
Fig. 2 in From forests to cattail: how does the riparian zone influence stream fish?
Fig. 2. Location of the preserved (PRE, open circles), intermediate (INT, dark circles), and degraded (DEG, triangles) sites in the northwestern portion of the state of São Paulo, Brazil.
Fig. 1 in From forests to cattail: how does the riparian zone influence stream fish?
Fig. 1. Characteristic stages of the degradation process of riparian zones in a stream. a) streams with preserved riparian forests (PRE); b) with riparian forests in intermediate stage of degradation (INT); c) without riparian forests and in advanced stage of degradation (DEG).
Changes in the factors influencing forest floor BVOC emissions during forest succession
<p>The files have been uploaded to comply with AGU and journal requirements, particularly the "Open Research" section, which provides links to the data and analytical code necessary for the peer review process. This initiative aims to support transparent and reproducible science. </p> <ul> <li>Data analysis and the ploting of Figure2 in manuscript, along with Figure S1-S3 and Table S1-S4 in supporting information, were conducted using R Studio. The file "Forest floor BVOC emissions_analyses and plots.R" and datasets "ForestFloor.csv", "boxplot_BVOC_ca.csv", "boxplot_BVOC_fi.csv", "boxplot_BVOC_ru.csv", "SamplingSite_1.csv" were utilized for this purpose.</li> <li>To generate Figure 3 in the manuscript, the file "SIMCA 18 for Fig 3.dox" and dataset "ForestFloor.xlsx" were used. The word file provide the the trial software link. </li> <li>For the analysis and ploting of Figure 4 in the manuscript, the file "PLS_PM.R" and dataset "BVOC_PLSR_PM.csv" were employed. </li> <li>The file "For Fig S4.xlsx" was used to create Figure S4 in the supporting information. </li> </ul> <p>Abstract in article</p> <p><span>The boreal forest floor is a crucial source of diverse biogenic volatile organic compounds (BVOCs) emitted into the atmosphere. Climate change is increasing in the frequency of wildfires in the boreal forest, major disturbances with lasting impacts on the ecosystem, particularly the forest floor. Wildfires changed BVOC sources and emissions, influencing aerosol formation during forest succession across various age classes. This study quantified BVOC emissions from the forest floor and characterized microenvironmental conditions, including abiotic factors (air temperature, soil temperature, soil moisture, light intensity) and biotic factors (ground vegetation composition, species coverage, soil respiration). Our objective was to understand how abiotic and biotic factors influence the forest floor BVOC emissions during forest succession. Path models revealed direct influences of ground vegetation composition on isoprene and monoterpene emissions. Sesquiterpene emissions were mainly regulated by abiotic factors, while isoprene and monoterpene emissions were influenced both directly and indirectly by abiotic factors. The indirect impact of abiotic factors was manifested through biotic factors, including vegetation and soil processes. Effect sizes of influencing factors varied across different forest age areas, with temperature exerting a larger impact in earlier burned areas compared to recently burned areas. The influence of soil moisture on BVOC emissions diminished with forest age. Our findings indicated the importance of identifying influencing factors and their relationship with forest floor BVOC emissions during different stages of forest succession for predicting the effect of post-wildfire forest succession on the BVOC emission patterns and, consequently, their impact on climate.<span> </span></span></p>
Data for: Freeze tolerance influenced forest cover and hydrology during the Pennsylvanian
<p><span>Global forest cover affects the Earth system by altering surface mass and energy exchange. Physiology determines plant environmental limits and influences geographical vegetation distribution. Ancient plant physiology, therefore, likely affected vegetation-climate feedbacks. We combine climate modeling and ecosystem-process modeling to simulate arboreal vegetation in the late Paleozoic ice age. Using GENESIS V3 GCM simulations, varying <i><span>p</span></i>CO<sub><span>2</span></sub>, <i><span>p</span></i>O<sub><span>2</span></sub>, and ice extent for the Pennsylvanian, and fossil-derived leaf C:N, maximum stomatal conductance, and specific conductivity for several major Carboniferous plant groups, we simulated global ecosystem processes at a 2-degree (longitude, latitude)</span><span> resolution with </span><i>Paleo</i>-BGC<span>. Based on leaf water constraints, Pangaea could have supported widespread arboreal plant growth and forest cover. However, these models do not account for the impacts of freezing on plants. According to our interpretation, freezing would have affected plants in 89% of unglaciated land during peak glacial periods, and 65% during the warmer interglacials. Comparing forest cover, minimum temperatures, and paleo-locations of Pennsylvanian-aged plant fossils from the Paleobiology Database supports restriction of global forest extent due to freezing. Many genera were limited to </span>25% <span>of unglaciated land where temperatures remained above −</span>4°C<span>. Freeze-intolerance of Pennsylvanian arboreal vegetation had the potential to alter surface runoff, silicate weathering, CO<sub><span>2</span></sub><span> levels, and</span> climate forcing. As a bounding case, we assume total plant mortality at </span>−4°C <span>and estimate that contracting forest cover increased net global surface runoff by up to 6.1%. Repeated freezing likely influenced freeze- and drought-tolerance evolution in lineages like the coniferophytes, which became increasingly dominant in the Permian and early Mesozoic.</span></p>
Figs. 1 A, B. A. Richness and B in Influence of the Edge Effect on A Soil Seed BAnk of A NAturAl FrAgment in the AtlAntic Forest
Figs. 1 A, B. A. Richness and B. abundance of the soil seed bank in relation to the edge from Mata Grande of the PEI.
Fig. 3 in Influence of the Edge Effect on A Soil Seed BAnk of A NAturAl FrAgment in the AtlAntic Forest
Fig. 3 NMDS of the composition of the soil seed bank differences in distances from the edge from Mata Grande of the PEI.
Figs. 2 A, B. A in Influence of the Edge Effect on A Soil Seed BAnk of A NAturAl FrAgment in the AtlAntic Forest
Figs. 2 A, B. A Linear regression of the richness and B. abundance of the soil seed bank in relation to the edge from Mata Grande of the PEI (y=Ax+B).
Figure 3 in Influence of tree thinning on abundance and survival probability of small rodents in a natural deciduous forest
Figure 3. Survival probability (mean ± SE) of small rodents in the prethinning and postthinning periods in a natural deciduous forest, Mt. Maehwa, Hongcheon, South Korea. *: P <0.05, **: P <0.001 according to a Mann–Whitney U test.
Figure 1 in Influence of tree thinning on abundance and survival probability of small rodents in a natural deciduous forest
Figure 1. Mean numbers of small rodents captured per month (individuals/ha; mean ± SE) in the prethinning and postthinning periods in a natural deciduous forest, Mt. Maehwa, Hongcheon, South Korea. Asterisk indicates a significant difference (P <0.05) according to a Mann–Whitney U test.
Figure 2 in Influence of tree thinning on abundance and survival probability of small rodents in a natural deciduous forest
Figure 2. Estimated mean (n = 2) abundance of small rodents in the prethinning (2014) and postthinning (2015) periods in a natural deciduous forest, Mt. Maehwa, Hongcheon, South Korea.
Intrinsic factors influence a physiological measure across a forest bird community
Open the record for dataset details and reuse information.
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.