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Dataset results
12 results for “Subplots”
Plant species composition in ITEX subplots in black sand extended growing season experiment, 2018 - 2023.
As a result of climate change, the Rocky Mountain Front Range is experiencing warmer summers and earlier snowmelt. Due to the importance of snow for regulating soil temperature, growing season length, and available moisture in alpine ecosystems, even small shifts in the snow-free period could have large impacts. The focus of the Black Sand Extended Growing Season Length Experiment is to examine how terrain-related differences in climate exposure influence the way alpine habitats respond to climate change via earlier snowmelt. To simulate how climate exposure may affect plant communities, NWT LTER researchers established 5 experimental sites, each containing a pair 10 x 40m rectangular plots. These sites include north and south facing aspects, subalpine and alpine tundra meadows and a range of hydrological conditions (e.g. dry meadows, moist meadows, wet meadows). We accelerated snowmelt in one plot at each site by adding chemically inert black sand, while keeping the second plot as an unmanipulated control; black sand was added to control plots after snow had naturally melted. We used open top warming chambers (OTCs) to increase summer temperature in three subplots within each of the 10 x 40 m plots. This dataset includes measurements of plant species composition within all snow and warming treatments.
GPS point locations of plots, subplots, itex subplots, transects and soil sensor in the black sand extended growing season experiment, 2018 - 2023.
As a result of climate change, the Rocky Mountain Front Range is experiencing warmer summers and earlier snowmelt. Due to the importance of snow for regulating soil temperature, growing season length, and available moisture in alpine ecosystems, even small shifts in the snow-free period could have large impacts. The focus of the Black Sand Extended Growing Season Length Experiment is to examine how terrain-related differences in climate exposure influence the way alpine habitats respond to climate change via earlier snowmelt. To simulate how climate exposure may affect plant communities, NWT LTER researchers established 5 experimental sites each containing a pair 10 x 40m rectangular plots. These sites include north and south facing aspects, subalpine and alpine tundra meadows in a range of hydrological conditions (e.g. dry meadows, moist meadows, wet meadows). We accelerated snowmelt in one plot of each block by adding chemically inert black sand, while keeping the second plot as an unmanipulated control; black sand was added to these plots after snow had naturally melted. This dataset includes geolocations of individual subplots and sensors within the experiment, measured in summer 2023.
DCA and GNMDS output for 4640 subplots and 95 vascular plant species in four alpine grasslands
<p>Ordination output from detrended correspondence analysis (DCA) and global non-metric multidimensional scaling (GNMDS).</p> <p>Analyses were performed in R with the <em>vegan</em> package (Oksanen 2022) for the entire data set of 4630 subplots and 95 species' occurrences ('global', indicated by global or missing site name in file names), and for each of four sites: Skjellingahaugen (skj), Gudmedalen (gud), Låvisdalen (lav), and Ulvehaugen (ulv). Access .Rds files with readRDS in R/RStudio.</p> <p>For GNMDS files, k indicates the chosen number of dimensions. See GitHub repository for scripts to produce and perform further analysis with the files in this archive.</p> <p>Analyses performed by EL with scripts based on originals by RH.</p>
Parramore Island of the Virginia Coast Reserve Permanent Plot Resurvey: Subplot data 1996
First 3-5 year resurvey of permanent monitoring plots using essentially the same protocol as the intial survey of 1992-1993 except that: 1.) standing biomass of the herbaceous groundcover was added (including for new lower salt marsh plots) using clip plots at the subplot locations; and 2.) an estimate of landcover/habitat class aggregation was conducted surrounding each plot center out to 60m in the four cardinal directions. Extends baseline data useful for estimating landscape-scale vegetative productivity, mortality, and turnover; for establishing pre-disturbance conditions in the case of later stand- or island-wide disturbance; and for assisting in the ground-truthing of landcover and habitat classification using aerial or satellite remote-sensing imagry.
Dataset showing species abundance in each subplot. ("teste_Rhill.xlsx")
<p>This dataset is the general spreadsheet of grassland species abundance obtained using the Londo scale. The data have been compartmentalized according to the analysis focus into tabs by region (HG and PG) or sites (ACE, ALE, ARA, LAV, TAI, TAV, VAC). The treatments are defined as CONV (CG - Continuous grazing), CONS (DG - Deferred grazing), and EXCL (GE - Grazing exclosure).</p>
1992-93 Parramore Island, VA Permanent Plot Baseline Data : Subplot Data
Open the record for dataset details and reuse information.
1992-93 Parramore Island, VA Permanent Plot Baseline Data : Subplot Water Cover
Open the record for dataset details and reuse information.
Tree Growth in Gentry Subplots for Six Experimental Sites (NWT, CWT, HJA, HFR, LUQ, and BCI)
Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing. The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical. This dataset contains growth records of plants (trees, shrubs, and liana) using the measures of diameter at breast height and/or diameter and ground height at five Gentry subplots at each experimental site. These plots were installed by the Enquist Lab and the University of Arizona as part of this macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836.
Operational Taxonomic Unit (OTU) Counts at Sampling Subplots at HJA, HFR, BCI, CWT, LUQ, and NWT for N2O-reducing Microbial Communities
Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing. The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical. N2O is reduced to N2 exclusively by microorganisms but little is known about the diversity and geographic distribution of N2O-reducing communities in forest soils across a temperature gradient. To this end, nosZ (N2O-reducing) amplicons were sequenced by MiSeq and sorted into Operational Taxonomic Units (OTUs) which could then be compared across sites for distribution, richness, and diversity indices. This work was completed by the University of Oklahoma Institute for Environmental Genomics as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836.
The coverage of the Dicranopteris dichotoma in subplots AND the numbers of the Setaria viridis in subplots of quadrat sampling
<p>Abundance of <em>D. dichotoma</em> in minimal sampling quadrats of the Changjiang water reservoir in Zhongshan City of the Guangdong Province of China, and <em>S. viridis</em> in minimal sampling quadrats of the highland barley cropland Rikaze City of Tibet</p>
The coverage of the Dicranopteris dichotoma in subplots and the numbers of the Setaria viridis in subplots of quadrat sampling
<p>Abundance of D. dichotoma in minimal sampling quadrats of the Changjiang water reservoir in Zhongshan City of the Guangdong Province of China, and S. viridis in minimal sampling quadrats of the highland barley cropland Rikaze City of Tibet</p>
The coverage of the Dicranopteris dichotoma in subplots and the numbers of the Setaria viridis in subplots of quadrat sampling
<p>Abundance of <em>D. dichotoma</em> in 2m×2m sampling quadrats of the Changjiang water reservoir in Zhongshan City of the Guangdong Province of China, and <em>S. viridis</em> in 1m×1m sampling quadrats of the highland barley cropland Rikaze City of Tibet</p>
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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.
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.