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274 results for “climate change responses”
VEMAP 2: Monthly Ecosystem Model Responses to U.S. Climate Change, 1994-2100
The Vegetation-Ecosystem Modeling and Analysis Project (VEMAP) was a large, collaborative, multi-institutional, international effort whose goal was to evaluate the sensitivity of terrestrial ecosystem and vegetation processes to altered climate forcing and elevated atmospheric CO2. Phase 1 of the VEMAP project developed historical (1895-1993) data sets of observed climate, soils, and vegetation compatible with the requirements of ecosystem models and vegetation distribution models. See the VEMAP Phase 1 User's Guide for more information.Phase 2 developed historical (1895-1993) gridded data sets of climate (temperature, precipitation, solar radiation, humidity, and wind speed) and projected (1994-2100) gridded annual and monthly climate data sets using output from two climate system models (CCCma (Canadian Centre for Climate Modeling and Analysis) and Hadley Centre models). See the VEMAP Phase 2 User's Guide for additional background information.Two Phase 2 model experiments were run. First, a set of selected biogeochemical models and coupled biogeochemical-biogeographical models were run from 1895 to 1993 to compare model responses to the historical time series and current ecosystem biogeochemistry. Second, these same models were run on the projected 1994 to 2100 data to compare their ecological responses to transient scenarios of climate and atmospheric CO2 change. Model runs were performed for daily, monthly, and annual gridded data sets. The output of the monthly model runs in VEMAP grid format are contained in this data set.The models investigated included five biogeochemical cycling models, which simulate plant production and nutrient cycles, but rely on a static land-cover type, and two dynamic global vegetation models (DGVMs) that combine biogeochemical cycling processes with dynamic biogeographical processes including succession and fire simulation.Biogeochemical Cycling ModelsBiome-BGC (BioGeochemical Cycles)CenturyCentury rxveg GTEC (Global Terrestrial Ecosystem Carbon Model)TEM (Terrestrial Ecosystem Model)Dynamic Global Vegetation ModelsLPJ (Lund-Potsdam-Jena MC1 (MC 5 modified Century)VEMAP 2 model intercomparison results have been published by Schimel et al.(2000), Bachelet et al. (2003) and Gordon and Famiglietti (2004). Related Data SetsAvailable on-line [http://www.daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center.VEMAP 2: U.S. ANNUAL CLIMATE, 1895-1993 VEMAP 2: U.S. MONTHLY CLIMATE, 1895-1993, VERSION 2 VEMAP 2: U.S. DAILY CLIMATE, 1895-1993 VEMAP 2: U.S. ANNUAL CLIMATE CHANGE SCENARIOS VEMAP 2: U.S. MONTHLY CLIMATE CHANGE SCENARIOS, VERSION 2 VEMAP 2: U.S. DAILY CLIMATE CHANGE SCENARIOS VEMAP 2: Annual Ecosystem Model Responses to U.S. Climate Change, 1994-2100
Phenoregions For Monitoring Vegetation Responses to Climate Change
The overall purpose in this research was to identify the regions of the world best suited for long-term monitoring of biospheric responses to climate change, i.e. monitoring land surface phenology. The user is referred to White et al. [2005] for further details. Using global 8 km 1982 to 1999 Normalized Difference Vegetation Index (NDVI) data and an eight-element monthly climatology, we identified pixels consistently dominated by annual cycles and then created phenologically and climatically self-similar clusters, which we term phenoregions. We then ranked and screened each phenoregion as a function of landcover homogeneity and consistency, evidence of human impacts, and political diversity.This dataset contains material providing users with direct access to data used to construct the figures in White et al. [2005]. Users are referred to this reference for additional information. Data files include ASCII and binary versions of the image files for the 500 elemental phenoregions and the 136 final monitoring phenoregions (shown in figure below) and a corresponding .jpg map. Also included are the classification data in tabular ACSII format for each of the 500 elemental phenoregions.Selected monitoring phenoregions. Phenoregions with fewer than 100 pixels or dominated by crop, urban or barren landcover removed. The 136 remaining phenoregions are those passing the screening factors in Table 1 and are shown with normalized rankings by landcover. (From White et al., 2005)
CENTURY: Modeling Ecosystem Responses to Climate Change, Version 4 (VEMAP 1995)
The CENTURY model, Version 4, is a general model of plant-soil nutrient cycling that is being used to simulate carbon and nutrient dynamics for different types of ecosystems including grasslands, agricultural lands, forests and savannas. CENTURY is composed of a soil organic matter/ decomposition submodel, a water budget model, a grassland/crop submodel, a forest production submodel, and management and events scheduling functions. It computes the flow of carbon, nitrogen, phosphorus, and sulfur through the model's compartments.
Mechanisms of coral response to climate change
GEO Series GSE56278. Acropora aff. hyacinthus sp. E JTL-2012. 12 samples. Type: Expression profiling by high throughput sequencing.
Grape berry response to heatwaves in a climate change scenario: a physiological, transcriptional, and metabolic overview
GEO Series GSE206753. Vitis vinifera. 66 samples. Type: Expression profiling by high throughput sequencing.
Data repository of model outputs in Ferrier and Perron (2020), "The importance of hillslope scale in responses of chemical erosion rate to changes in tectonics and climate"
<p>This is a repository of model outputs in Ferrier and Perron (2020), "The importance of hillslope scale in responses of chemical erosion rate to changes in tectonics and climate" at the Journal of Geophysical Research - Earth Surface. See the readme file for descriptions of the data contained in each file.</p>
Arctic Climate Response to European Radiative Forcing: A Deep Learning Study on Circulation Pattern Changes (control run daily dataset)
<p>30-year Control run with MPI-ESM1.2 coupled atmosphere-ocean–land surface model with preindustrial boundary and initial condition (for more information see the paper)<br> </p>
Arctic Climate Response to European Radiative Forcing: A Deep Learning Study on Circulation Pattern Changes (Experiment run daily dataset)
<p>0-year Experiment run with excerted negative radiative forcing over Europe with MPI-ESM1.2 coupled atmosphere-ocean–land surface model with preindustrial boundary and initial condition (for more information see the paper) </p>
Data from: Increase in CO2 concentration could alter the response of Hedera helix to climate change
Open the record for dataset details and reuse information.
Data from: Using archived television video footage to quantify phenology responses to climate change
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Data from: Range and niche shifts in response to past climate change in the desert horned lizard (Phrynosoma platyrhinos)
Open the record for dataset details and reuse information.
Responses of hydrological extremes to future climate change and forest disturbance in snow-dominated watersheds of southern British Columbia
<p>1. Future hydrological predictions in watershed 241, Camp, Greata, and Trepanier watersheds, including daily hydrometeorological predictions and aggregated future hydrometeorological metrics. The future climate data are from six GCMs and under three distinct development pathways.</p> <p>2. Trends of multiple future hydrological signatures (i.e., high and low flows) in watershed 241, Camp, Greata, and Trepanier watersheds.</p>
Ecological and morphological traits determine community-wide responses of birds to climate change in a tropical dry forest
<p><strong><span>Description</span></strong></p> <p><span>Raw data and species distribution maps for conducting work on bird community changes caused by climate change in the largest block of tropical dry forests in South America. In addition to the R scripts for the climate modeling analyses and the subsequent analyses in the work. </span></p> <p> </p> <p><strong><span>File contents</span></strong></p> <p><span>Centoids.zip: Data with the centroids of the distributions of each species in the current scenario and the six future climate scenarios.</span></p> <p><span>Climate_valeus_scenrios.zip: Climate variable values for all the cells in the Caatinga grid. </span></p> <p><span>Correlation_species_variable.zip: Correlation for selecting the climate variables used for each species. </span></p> <p><span>Dataset_traits.csv: Species traits used in the analyses. </span></p> <p><span>Maps_species_distributions.zip: Distribution maps for all species, in the current climate scenario and the six future scenarios.</span></p> <p><span>occurrence_birds.zip: Occurrence data used to build the models for each species<br><br>PGLS.html: PGLS analysis correlating the percentage of change in the distribution area of </span><span>each species and species traits.</span></p> <p><span>Species_tree.zip: Species phylogeny built from BirdTree and used as input in PGLS</span></p> <p><span>Species_variables.csv: Individual variables used to build climate models for each species</span></p>
Developing a Physics-informed Deep Learning Model to Simulate Runoff Response to Climate Change in Alpine Catchments
<p>This data archive includes daily basin average forcing data (consisting of precipitation, temperature, potential evapotranpiration, air pressure, relative humidity, and wind speed), as well as simulated daily runoff (mm/d) of five models during 1960‒2019 at the three subbasins in the source region of the Yellow River. For more details please see the publication.</p>
ScienceDex guides
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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.