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.
125
datasets available to search
ShareScore release 0.9.0
Dataset results
125 results for “old growth”
Data from: Diversity effects and compensatory dynamics drive productivity and stability in temperate old-growth forests
Open the record for dataset details and reuse information.
Data from: Old-growth forests buffer climate-sensitive bird populations from warming
Open the record for dataset details and reuse information.
Three-dimensional stratification pattern in an old-growth lowland forest: how does height in canopy and season influence temperate bat activity?
Open the record for dataset details and reuse information.
mapMOG: Assessing Mature and old growth forest using FIA data
Open the record for dataset details and reuse information.
Data: Interactive effects of drought and edge exposure on old-growth forest understory species
Open the record for dataset details and reuse information.
Data from: Forest loss and treeless matrices cause the functional impoverishment of sapling communities in old-growth forest patches across tropical regions
Open the record for dataset details and reuse information.
Data from: Potential trajectories of old-growth Neotropical forest functional composition under climate change
Open the record for dataset details and reuse information.
Data from: Positive spatial and temporal density-dependence drive early reproductive economy-of-scale effects of masting in a European old-growth forest community
Open the record for dataset details and reuse information.
Data from: microhabitat selection by the Oscura Mountains Colorado chipmunk (Neotamias quadrivittatus oscuraensis): an old growth pinyon-juniper woodland specialist
Open the record for dataset details and reuse information.
Highly-replicated soil, topography and vegetation sampling across an old-growth tropical rain forest landscape
Open the record for dataset details and reuse information.
Data from: Tree recruitment failure in old-growth forest patches across human-modified rainforests
Open the record for dataset details and reuse information.
Data: Large old trees increase growth under shifting climatic constraints: Aligning tree longevity and individual growth dynamics in primary mountain spruce forests
Open the record for dataset details and reuse information.
Total, foliar, and reproductive fine litter production for up to 38 years for four old-growth forests in central Panama
Open the record for dataset details and reuse information.
H. J. Andrews Experimental Forest site, station Old growth section of Mack Creek, study of animal abundance of Oncorhynchus clarkii in units of numberPer50MetersOfStream on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from H. J. Andrews Experimental Forest (AND) contains animal abundance of Oncorhynchus clarkii measurements in numberPer50MetersOfStream units and were aggregated to a yearly timescale.
Tree data: Effects of Deer on Growth and Establishment of Woody Vegetation in Old Fields
The purpose of this experiment is to measure the effects of deer on the growth and establishment of woody vegetation in old fields. This experiment is located in fields A and B. There are 6 plots in each field. Each plot is 10 by 30 meters, with the long axis perpendicular to the field/woods margin. Plots within a field are spaced at least 5 meters apart. Approximately 5 meters of the 30 meters length extends into the woods, the remaining 25 meters extend out into the field. Each plot is divided into twelve, 5 by 5 meter sections. Six quadrats were placed within each exclosure in each 5 meters of length. Plots are located randomly within each of those blocks. To assign locations randomly a grid was set up from 0 - 4 along the length and 0 - 9 along the width of each plot and random numbers were drawn in pairs, one from each of the random distributions. The plots were marked with rebar. Three plots in each field are fenced with poultry netting, approximately 2 meters high, to exclude deer.
Deer browse: Effects of Deer on Growth and Establishment of Woody Vegetation in Old Fields
The purpose of this experiment is to measure the effects of deer on the growth and establishment of woody vegetation in old fields. This experiment is located in fields A and B. There are 6 plots in each field. Each plot is 10 by 30 meters, with the long axis perpendicular to the field/woods margin. Plots within a field are spaced at least 5 meters apart. Approximately 5 meters of the 30 meters length extends into the woods, the remaining 25 meters extend out into the field. Each plot is divided into twelve, 5 by 5 meter sections. Six quadrats were placed within each exclosure in each 5 meters of length. Plots are located randomly within each of those blocks. To assign locations randomly a grid was set up from 0 - 4 along the length and 0 - 9 along the width of each plot and random numbers were drawn in pairs, one from each of the random distributions. The plots were marked with rebar. Three plots in each field are fenced with poultry netting, approximately 2 meters high, to exclude deer.
Soil nitrogen: Effects of Deer on Growth and Establishment of Woody Vegetation in Old Fields
The purpose of this experiment is to measure the effects of deer on the growth and establishment of woody vegetation in old fields. This experiment is located in fields A and B. There are 6 plots in each field. Each plot is 10 by 30 meters, with the long axis perpendicular to the field/woods margin. Plots within a field are spaced at least 5 meters apart. Approximately 5 meters of the 30 meters length extends into the woods, the remaining 25 meters extend out into the field. Each plot is divided into twelve, 5 by 5 meter sections. Six quadrats were placed within each exclosure in each 5 meters of length. Plots are located randomly within each of those blocks. To assign locations randomly a grid was set up from 0 - 4 along the length and 0 - 9 along the width of each plot and random numbers were drawn in pairs, one from each of the random distributions. The plots were marked with rebar. Three plots in each field are fenced with poultry netting, approximately 2 meters high, to exclude deer.
Soil organic carbon accumulation modes between pioneer and old-growth forest ecosystems
<p>1. Increasing evidence suggests that high biomass and litterfall do not necessarily bring about soil organic carbon (SOC) sinks, contrary to the assumption that higher litterfall implies higher SOC when designing carbon models. The underlying mechanism is related to the quality of litter. 2. We conducted 15 years (2000–2015) of consecutive field measurements of δ13C values in SOC and plants in a pioneer forest (Pinus massoniana forest, PF) and an old-growth forest (monsoon evergreen broadleaved forest, BF), using an isotope mixing model based on mass balance to quantify the effects of vegetation on SOC stock and soil characteristics. 3. The carbon to nitrogen (C/N) ratio of litter in BF was lower than that in PF. The proportion of organic carbon yield input to the soil (Cinput) to the total litter carbon loss during decomposition was 38.7 ± 3.3% and 28.0 ± 2.1% in BF and PF, respectively. New carbon input was higher in BF (148.7 ± 8.8 g C m−2 yr−1) than PF (99.7 ± 4.5 g C m−2 yr−1), though there was a non-significant difference in annual litterfall between the two forests. Moreover, the Cinput was concentrated in the topsoil layer in PF but distributed in a more dispersed state across the whole soil profile in BF. Consequently, only the δ13C values of SOC decreased in the topsoil layer of PF, whereas these decreased at both soil depths in BF from 2000 to 2015. 4. Compared with PF, BF exhibited higher carbon input and a more favourable soil environment for carbon storage. It was the amount of intermediate product (i.e., Cinput) of litter decomposition, not the amount of litterfall itself, that drove the contrasting differences in SOC status. 5. Synthesis and applications. Litter quality controls SOC accumulation by regulating the fate of decomposing litter, which may explain why old-growth forests can sustainably accumulate carbon in soil. This finding questions the carbon models that predict the dependence of SOC accumulation on biomass and litter yield and suggests that litter quality should be valued in future carbon cycling models.30-Jul-2020</p>
Data from: Fine-root exploitation strategies differ in tropical old-growth and logged-over forests in Ghana
Understanding the changes in root exploitation strategies during post-logging recovery is important for predicting forest productivity and carbon dynamics in tropical forests. We sampled fine (diameter < 2 mm) roots using the soil-core method to quantify fine-root biomass, and architectural and morphological traits to determine root exploitation strategies in an old-growth forest and in a 54-year-old logged-over forest influenced by similar parent material and climate. Seven root traits were considered: four associated with resource exploitation potential or an 'extensive' strategy (fine-root biomass, length, surface area and volume); and three traits which reflect exploitation efficiency or an 'intensive' strategy (specific root area, specific root length and root tissue density). We found that total fine-root biomass, length, surface area, volume, and fine-root tissue density were higher in the logged-over forest, whereas the old-growth forest had higher total specific root length and specific root surface area than the logged-over forest. The results suggest different root exploitation strategies between the forests. Plants in the old-growth forest invest root biomass more efficiently to maximize soil volume explored, whereas plants in the logged-over forest increase the spatial distribution of roots resulting in the expansion of the rhizosphere.
Data from: Do secondary forests act as refuges for old growth forest animals? Recovery of ant diversity in the Atlantic forest of Brazil
The extent to which secondary forests occupying degraded and abandoned lands provide suitable habitat for forest-adapted species is an important conservation issue in times of vanishing old growth forests. We used ants (Hymenoptera: Formicidae), a functionally important and diverse group of invertebrates, to investigate the recovery of soil taxa during secondary forest succession in the Atlantic Forest of Southern Brazil. We compared the resilience of epigeic vs. hypogeic ant assemblages. For this purpose we established 27 sites that encompassed a chronosequence from pastures to old growth forests on two contrasting soil types. Our results are based on a collection of 35 508 individuals in 40 genera. Richness and composition of ant assemblages in secondary forests have recovered slowly and have not approached conditions typical of old growth forests. The distribution of genera along the successional stages was arranged in a nested pattern where ant genera of younger successional stages were a subset of genera present in older stages. Edaphic conditions had no influence on the recovery process. Overall, richness of ants was lower at study sites with water-logged soils than at sites where soils did not exhibit hydromorphic properties. The hypogeic ant assemblage recovered more slowly than the epigeic assemblage. Our results show that secondary forests do not act as refuges for many forest-adapted animals which are currently restricted to discontinuous patches of old growth forest in the highly endangered Atlantic Forest of Brazil. Moreover, estimated recovery times of 50 to several hundred years suggest it would take much longer than previously presumed for complete recolonization.
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.