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2,837 results for “Climate Data”
Supporting data for: Development of alternate climate divisions for Colorado based on gridded data
<p>The official climate divisions for the contiguous United States are used for a wide range of purposes, including ongoing climate monitoring, and through NOAA's long-standing nClimDiv dataset. In Colorado, the climate divisions are based around the basins of the large rivers that flow out of the state. However, considering the complex topography and climate of the state, these divisions do not always represent key climate variations and changes. This study builds upon an approach first developed by Wolter and Allured to establish alternate climate divisions that more closely reflect observed climate variability across Colorado. Hierarchical cluster analysis is applied to gridded temperature and precipitation data (NOAA's nClimGrid) from 1950–2021 to identify areas with similar climate variability, then manual inspection is used to establish 11 divisions. These resulting divisions are being used in an updated state-level climate change assessment. The method is flexible and uses open-source tools that could be extended to other regions or datasets.</p>
Data from: navigating uncertainty: managing herbivore communities enhances savanna ecosystem resilience under climate change
<p>Savannas are characterized by water scarcity and degradation, making them highly vulnerable to increased uncertainties in water availability resulting from climate change. This poses a significant threat to ecosystem services and rural livelihoods that depend on them. In addition, the lack of consensus among climate models on precipitation change makes it difficult for land managers to plan for the future. Therefore, savanna rangeland management needs to develop strategies that can sustain savanna resilience and avoid tipping points under an uncertain future climate. Our study aims to analyze the impacts of climate change and rangeland management on degradation in savanna ecosystems of southern Africa, providing insights for the management of semi-arid savannas under uncertain conditions worldwide. To achieve this, we simulated the effects of projected changes in temperature and precipitation, as predicted by ten global climate models, on water resources and vegetation (cover, functional diversity, tipping points (transition from grass-dominated to shrub-dominated vegetation)). We simulated three different rangeland management options (herbivore community dominated by grazers, by browser and by mixed-feeders), each with low and high animal densities using the ecohydrological model EcoHyD. Our results identified intensive grazing as the primary contributor to the increased risk of degradation in response to changing climatic conditions across all climate change scenarios. This degradation encompassed a reduction in available water for plant growth within the context of predicted climate change. It also entails a decline in the overall vegetation cover, the loss of functionally important plant species, and the inefficient utilization of available water resources, leading to earlier tipping points. Our findings underscore that in the face of climate uncertainty, farmers' most effective strategy for securing their livelihoods and ecosystem stability is to integrate browsers and apply management of mixed herbivore communities. This management approach not only significantly delays or averts tipping points but also maintained greater plant functional diversity, fostering a more robust and resilient ecosystem that acts as a vital buffer against adverse climatic conditions.</p>
Climate data and geographic data from Madagascar for learning multi-criteria analysis in GIS courses
<p>Climate data and geographic data from Madagascar for learning multi-criteria analysis in GIS courses. </p> <ul> <li><strong>MultiCriteriaAnalysis_ENG_v2023_v4.pdf</strong> - summary of Multi-Criteria Analysis methods for suitability of mango tree fruitculture.</li> <li><strong>MultiCriteriaAnalysis_simple_ENG_v2023_v4.xlsx</strong> - sheets with support material fromPDF and videos in lecture channel</li> <li><strong>Country borders</strong>: https://www.naturalearthdata.com/downloads/50m-cultural-vectors/50m-admin-0-countries-2/</li> <li><strong>Rivers</strong>: https://www.naturalearthdata.com/downloads/10m-physical-vectors/</li> <li><strong>Roads</strong>: https://www.naturalearthdata.com/downloads/50m-cultural-vectors/ </li> <li><strong>Global land cover classes - GLOBCOVER</strong>: http://due.esrin.esa.int/page_globcover.php</li> <li><strong>Temperature and precipiatation </strong>- climate variables: clipped from WorldClim database rasters (see http://www.worldclim.org/) </li> <li><strong>Digital Elevation Model - DEM </strong>from EarthExplorer web portal (see https://www.cirgeo.unipd.it/didattica/GIS/01x_access_geodata.html#USGS:_EarthExplorer<br> </li> </ul>
Supplementary data for "Increasing risks of extreme salt intrusion events across European estuaries in a warming climate", published in Communications Earth & Environment
<p>This data repository contains python scripts and post-processed climate model and salt intrusion length data to reproduce figures in the paper below.</p> <p>====================</p> <p>Title: Increasing risks of extreme salt intrusion events across European estuaries in a warming climate (<a href="https://www.nature.com/articles/s43247-024-01225-w">Link to the full paper</a>)</p> <p>Author: Jiyong Lee, Bouke Biemond, Huib de Swart, and Henk A. Dijkstra</p> <p>Journal: Communications Earth & Environment</p> <p>Year: 2024</p> <p>Publisher: Nature</p> <p>====================</p>
Data from: Plant canopies promote climatic disequilibrium in Mediterranean recruit communities
<p>Current rates of climate change are exceeding the capacity of many plant species to track climate, thus leading communities to be in disequilibrium with climatic conditions. Plant canopies can contribute to this disequilibrium by buffering macro-climatic conditions and sheltering poorly adapted species to the oncoming climate, particularly in their recruitment stages. Here we analyze differences in climatic disequilibrium between understory and open ground woody plant recruits in 28 localities, covering more than 100,000 m<sup>2</sup>,<sup> </sup>across an elevation range embedding temperature and aridity gradients in the southern Iberian Peninsula. This study demonstrates higher climatic disequilibrium under canopies compared with open ground, supporting that plant canopies would affect future community climatic lags by allowing the recruitment of less arid-adapted species in warm and dry conditions, but also it endorse that canopies could favor warm-adapted species in extremely cold environments as mountain tops, thus pre-adapting communities living in these habitats to climate change.</p>
Data for: Climatic-niche breadth, niche position, and speciation in lizards and snakes
<p><strong>Aim: </strong>The climatic niche is associated with diversification in many groups of animals and plants. However, the relationships between climatic-niche breadth evolution, climatic-niche position evolution, and speciation remain underexplored. It is particularly unclear whether changes in climatic-niche breadth are related to diversification. We tested two hypotheses relating niche breadth, niche position, and speciation using climatic data in Squamata (lizards and snakes), one of the largest radiations of tetrapods. These hypotheses were: (1) the oscillation hypothesis (niche breadth changes along with niche position and speciation); and (2) the musical chairs hypothesis (niche breadth remains relatively constant when niche position changes during speciation).</p> <p><strong>Location:</strong> Global.</p> <p><strong>Taxon:</strong> Squamata (lizards and snakes).</p> <p><strong>Methods: </strong>We estimated rates of speciation and evolutionary rates for both climatic-niche position and climatic-niche breadth for 5,320 squamate species. We tested relationships among these rates using Bayesian phylogenetic generalized linear-mixed models.</p> <p><strong>Results: </strong>Higher speciation rates were associated with higher rates of evolution in niche position and in niche breadth. Faster rates of change in niche breadth were related to narrower niches and faster rates of change in niche position.</p> <p><strong>Main Conclusions: </strong>Our results support the oscillation hypothesis to explain the relationships between speciation and changes in climatic niche position and climatic niche breadth. We found that species that changed climatic-niche breadths more rapidly: (1) speciated faster; (2) evolved towards narrower niche breadths; and (3) changed climatic-niche positions more rapidly. These results suggest that the oscillation between wider and narrower niches is coupled with climatic-niche divergence and speciation. These conclusions may apply to many other groups of plants and animals in which speciation is often related to climatic-niche divergence.</p>
Monthly aggregated climate projections of IPSL-CM5A-LR ISIMIP2a fasttrack data for the BES SIM study
<p>Climate projections used in the BES SIM study (Pereira et al. Science 2024). Netcdf files with average air surface temperature (tas) projections, minimum air surface temperature (tasmin), maximum air surface temperature (tasmax), total precipitation (pr), short wave downwelling radiation (rsds) and number of days with a precipitation above 1.0mm/day (wetday) bias corrected following Hempel et al. (2013), from ISIMIP2a fasttrack, for the model IPSL-CM5A-LR for each RCP scenario, with each file being named after the respective scenario (RCP2.6, RCP6.0, RCP8.5). Monthly means (monmean) or sums (monsum) are provided in a 0.5-degree horizontal resolution from the year 1901 to 2099.</p>
Data from: Parental overproduction allows siblicidal bird to adjust brood size to climate-driven prey variation
<p>Parental overproduction is hypothesized to hedge against uncertainty over food availability and stochastic death of offspring and to improve brood fitness. Understanding the evolution of overproduction requires quantifying its benefits to parents across a wide range of ecological conditions, which has rarely been done. Using a multiple hypotheses approach and 30 years of data, we evaluated the benefits of overproduction in the Blue-footed booby, a seabird that lays up to three eggs asynchronously, resulting in an aggressive brood hierarchy that facilitates the death of last-hatched chicks under low food abundance. Results support the resource-tracking hypothesis, as low prey abundance (estimated from sea surface temperature and chlorophyll-a concentration) led to rapid brood reduction. The insurance hypothesis was supported in broods of three, where last-hatched chicks' survival increased after a sibling's death. Conversely, in broods of two, results suggested that parents abandoned last-hatched chicks following first-hatched chicks' deaths. No direct evidence supported the facilitation hypothesis: the presence of a last-hatched chick during development did not enhance its sibling's fitness in the short or long term. The value of last-hatched offspring to parents, as "extra" or "insurance" varied with indices of food abundance, brood size, and parental age. Ninety percent of overproduction benefits came from enabling parents to capitalize on favorable conditions by fledging additional offspring. Our study provides insight into the forces driving overproduction, explaining the adaptiveness of this apparently wasteful behavior and allowing us to better predict how overproduction's benefits might be modified by ocean warming.</p>
Data from: Sea-surface temperature pattern effects have slowed global warming and biased warming-based constraints on climate sensitivity
<p>The observed rate of global warming since the 1970s has been proposed as a strong constraint on equilibrium climate sensitivity (ECS) and transient climate response (TCR) – key metrics of the global climate response to greenhouse-gas forcing. Using CMIP5/6 models, we show that the inter-model relationship between warming and these climate sensitivity metrics (the basis for the constraint) arises from a similarity in transient and equilibrium warming patterns within the models, producing an effective climate sensitivity (EffCS) governing recent warming that is comparable to the value of ECS governing long-term warming under CO<sub>2</sub> forcing. However, CMIP5/6 historical simulations do not reproduce observed warming patterns. When driven by observed patterns, even high ECS models produce low EffCS values consistent with the observed global warming rate. The inability of CMIP5/6 models to reproduce observed warming patterns thus results in a bias in the modeled relationship between recent global warming and climate sensitivity. Correcting for this bias means that observed warming is consistent with wide ranges of ECS and TCR extending to higher values than previously recognized. These findings are corroborated by energy balance model simulations and coupled model (CESM1-CAM5) simulations that better replicate observed patterns via tropospheric wind nudging or Antarctic meltwater fluxes. Because CMIP5/6 models fail to simulate observed warming patterns, proposed warming-based constraints on ECS, TCR, and projected global warming are biased low. The results reinforce recent findings that the unique pattern of observed warming has slowed global-mean warming over recent decades, and that how the pattern will evolve in the future represents a major source of uncertainty in climate projections.</p>
Data from: Genomic signatures of climate adaptation in bank voles
<p><span>Evidence for </span><span>divergent selection and adaptive variation across the landscape</span><span> can provide insight into a species' ability to adapt to different environments. However, despite recent advances in genomics, it remains difficult to detect footprints of </span><span>climate mediated</span><span> selection in natural populations. Here we analysed ddRAD sequencing data (21,892 SNPs) in conjunction with geographic climate variation to search for signatures of adaptive differentiation in twelve populations of the bank vole (</span><em><span>Clethrionomys glareolus</span></em><span>) distributed across Europe. To identify the loci subject to selection associated with climate variation, we applied multiple genotype-environment association (GEA) methods, two univariate and one multivariate, and controlled for the effect of population structure. In total, we identified 213 candidate loci for adaptation, 74 of which were located within genes. In particular, we identified signatures of selection in candidate genes with functions related to lipid metabolism and the immune system. Using the results of redundancy analysis (RDA), we demonstrated that population history and climate have joint effects on the genetic variation in the pan-European metapopulation. Furthermore, by examining only candidate loci, we found that annual mean temperature is an important factor shaping adaptive genetic variation in the bank vole. By combining landscape genomic approaches, our study sheds light on genome-wide adaptive differentiation and the spatial distribution of variants underlying adaptive variation influenced by local climate in bank voles.</span></p>
Data/code from: Long-term data reveal that grazer density mediates climatic stress in salt marshes
<p>Understanding how climate and local stressors interact is paramount for predicting future ecosystem structure. The effects of stressors are often examined in small-scale and short-term field experiments, limiting understanding of the spatial and temporal generality of the findings. Using a 22-year observational dataset of plant and grazer abundance in a Southeastern US salt marsh, we analyzed how changes in drought and snail density combined to affect plant biomass. We found: (1) increased drought severity and higher snail density both correlated with lower plant biomass; (2) drought and snail effects interacted additively; and, (3) snail effects had a threshold, with additive top-down effects only occurring when snails were present at high densities. These results suggest that the emergence of multiple stressor effects can be density-dependent, and they validate short-term experimental evidence that consumers can exacerbate environmental stress. These findings have important implications for predicting future ecosystem structure and managing natural ecosystems.</p><p>The data and code included here can be used to replicate all analyses and figures in our manuscript.</p>
Data from: a positive feedback to climate change: the effect of temperature on the respiration of key wood-decomposing fungi does not decline with time
<p>Heterotrophic soil microorganisms are responsible for ~50% of the carbon dioxide released by respiration from the terrestrial biosphere each year. The respiratory response of soil microbial communities to warming, and the control mechanisms, remains uncertain, yet is critical to understanding the future land carbon (C)-climate feedback. Individuals of nine species of fungi decomposing wood were exposed to 90 days of cooling to evaluate the medium-term effect of temperature on respiration. Overall, the effect of temperature on respiration increased in the medium term, with no evidence of compensation. However, the increasing effect of temperature on respiration was lost after correcting for changes in biomass. These results indicate that C loss through respiration of wood-decomposing fungi will increase beyond the direct effects of temperature on respiration, potentially promoting greater C losses from terrestrial ecosystems and a positive feedback to climate change.</p>
Data from: Evaluating genotyping-in-thousands by sequencing as a genetic monitoring tool for a climate sentinel mammal using non-invasive and archival samples
<p>Genetic tools for wildlife monitoring can provide valuable information on spatiotemporal population trends and connectivity, particularly in systems experiencing rapid environmental change. Though many DNA sequencing approaches still require high quality and quantity of DNA obtained from traditional sources (e.g. blood and tissue), rapid genotyping tools such as Genotyping-in-Thousands by sequencing (GT-seq) have improved our ability to make use of degraded and less concentrated DNA commonly obtained from non-invasive and archival samples. Here, we developed a multi-purpose GT-seq panel (307 single nucleotide polymorphisms) for a climate sentinel mammal (the American pika, <em>Ochotona princeps</em>) for use as a genetic tool for monitoring populations in the Canadian Rocky Mountains. We optimized the panel using contemporary tissue samples (n = 77) and subsequently applied it to archival tissue (n = 17) and contemporary fecal pellet samples (n = 129) to evaluate its effectiveness at identifying individuals and sex, estimating relatedness, and inferring population structure. The panel demonstrated high efficacy with contemporary and archival tissue samples (94.7% and 90.5% genotyping success, respectively) and negligible genotyping error (0.001% and 0.0%, respectively). Despite relatively high genotyping success for fecal pellet samples (79.7%), high genotyping error (28.4%) limited its power as a monitoring tool to assess genetic variation using non-invasive samples and highlighted the need for further optimization around sample and data collection.</p>
Data for: Climate warming and projected loss of thermal habitat volume in lake populations of brook trout
<p>We applied an ensemble of climate warming models and the seasonal temperature profile model for lakes (STM) to assess changes in brook trout thermal habitat volume (THV) among lakes (N=100) within a large, protected area under two climate warming scenarios, RCP 4.5 and RCP 8.5. Brook trout thermal habitat was defined as 9-17°C. Climate warming projections for the balance of this century, regardless of RCP category, will result in the loss of brook trout habitat in lakes that range widely in size. THV loss will be most extensive in lakes that are relatively shallow given their surface area. By 2071-2100 under RCP 4.5, the 90<sup>th</sup> percentile of THV loss = 31% vs. 63% under RCP 8.5. By the century's end under RCP 8.5, the protected area landscape will be a matrix of lakes with some serving as climate refugia (with reduced THV) and others having severe reductions in THV (>90<sup>th</sup> percentile THV loss).</p>
Data for: Shifts in grasses diversity patterns between two contrasting 40-year climate periods in tropical dry islands
<p><span>Grasses are one of the most successful and dispersed plant families worldwide and their environmental and economic values are widely acknowledged. They dominate the landscape of Cabo Verde, the southernmost and driest archipelago of Macaronesia, and are relevant natural resources for local populations, but a comprehensive evaluation of their distribution patterns is still lacking. In this study, we aim to evaluate the potential effects of climate changes using the long-term data concerning grass distribution in Cabo Verde and the widely recognized climatic variability of this archipelago, which entails a huge irregularity in spatial and temporal rainfall. We identified two contrasting climatic periods (wet, from 1929 to 1968, and dry, from 1969 to 2007) and gathered all the information available from the bibliography, herbaria and fieldwork concerning spontaneous grass species recorded in Cabo Verde during those two periods, which amounted to 107 taxa. This information was then used to disclose the patterns of grass diversity as related to climatic and topographic variables (altitude and windward vs leeward aspects). Different altitudinal shifts in the distribution patterns of grass species assemblages and an assemblage specific to the wet period were revealed by comparing the two climatic periods. The role of exposure in delimiting the altitudinal distribution of the various assemblages was highlighted; the trade winds clearly determine the distribution of grass assemblages. We detected shifts in the distribution of grass assemblages according to the climatic periods (related to the macroclimate) and local topographic factors (associated with mesoclimates). Also, functional traits (i.e., annuals vs. perennials, C3 vs. C4 grasses, and tropical vs. temperate species) were found to vary between wet and dry periods, as well as with altitude and with slope aspect. Understanding species distributions and the role of the climatic variability of Cabo Verde is crucial to predict how climate change will affect them and thus to support effective management and conservation actions.</span></p>
Data to the Supporting Information to "Radiative Heating of High-Level Clouds and its Impacts on Climate"
<p><strong>Author:</strong> Kerstin Haslehner kerstin.haslehner@univie.ac.at</p> <p>This archive includes the ICON-ESM output files used to study the radiative heating of high-level clouds.</p> <p>This dataset is related to the manuscript "Radiative Heating of High-Level Clouds and its Impacts on Climate" by Kerstin Haslehner, Blaž Gasparini and Aiko Voigt, which will be submitted to the Journal of Geophysical Research: Atmospheres.</p> <p>The output data was originally created as part of a Master's thesis by Kerstin Haslehner at the Department of Meteorology and Geophysics at University Vienna. This thesis is available here: https://utheses.univie.ac.at/detail/67015/#</p> <p> </p> <p>Descriptions of names:</p> <p>"clouds off": radiative heating of all clouds turned off</p> <p>"ice-off": radiative heating of when clouds at temperatures colder than -35°C are turned off</p> <p>"ice-off-warmbase": radiative heating of high-level clouds turned off</p> <p>"ice-on": radiative heating of all clouds active, reference run</p> <p>"diagice-cirrus": contains output variables that diagnose the radiative heating of clouds at temperatures colder than -35°C</p> <p>"hl": height levels</p>
Data to "Radiative Heating of High-Level Clouds and its Impacts on Climate"
<p><strong>Author:</strong> Kerstin Haslehner kerstin.haslehner@univie.ac.at</p> <p>This archive includes the ICON-ESM output files used to study the radiative heating of high-level clouds.</p> <p>This dataset is related to the manuscript "Radiative Heating of High-Level Clouds and its Impacts on Climate" by Kerstin Haslehner, Blaž Gasparini and Aiko Voigt, which will be submitted to the Journal of Geophysical Research: Atmospheres.</p> <p>The output data was originally created as part of a Master's thesis by Kerstin Haslehner at the Department of Meteorology and Geophysics at University Vienna. This thesis is available here: https://utheses.univie.ac.at/detail/67015/#</p> <p> </p> <p>Descriptions of names:</p> <p>"clouds off": radiative heating of all clouds turned off</p> <p>"ice-off-warmbase": radiative heating of high-level clouds turned off</p> <p>"ice-on": radiative heating of all clouds active, reference run</p> <p>"diagice-warmbase": contains output variables that diagnose the radiative heating of high-level clouds</p> <p>"diagice-cirrus": contains output variables that diagnose the radiative heating of clouds at temperatures colder than -35°C</p> <p>"ua700": zonal wind at 700hPa</p> <p>"mastrfu": mass stream function, calculated with CDO</p> <p>"hl": height levels</p> <p>"wap500hPa": omega at 500hPa</p>
Data from: Evaluating the impact of historical climate and early human groups in the Araucaria Forest of Eastern South America
<p>It has been hypothesized that the Araucaria Forest in Southern Brazil underwent expansions in the past, driven either by human groups or by climate fluctuations of the Holocene and Pleistocene. Fossil pollen records of the Paraná Pine (<em>Araucaria angustifolia</em>), a dominant tree in that forest, provide some insights into when those may have occurred. Still, the timing of those expansions has never been estimated. To infer past range shifts and shed light on their main drivers, we employed next-generation DNA sequencing (ddRADseq), machine learning, and a comprehensive database of fossil pollen records in a study of historical demographic inference and paleo-distribution modeling of the Paraná Pine. We found that <em>A. angustifolia</em> comprises two populations expanding at different times: one in the Mantiqueira mountain chain, and the other in the southern Brazilian plateau. The Southern population began to expand during the Last Glacial Period ~70kya, long before human arrival in South America. Still, genetic analyses support that humans later impacted this population, resulting in lower genetic diversity, higher inbreeding, and high levels of gene flow over large distances with a weak pattern of isolation by distance. It is possible this resulted from human influence on seed dispersal and germination on the Southern Brazilian plateau. The Mantiqueira population, in contrast, expanded only recently (~3kya). This timing coincides with Holocene climatic changes and human settlements established further south, although, to date, there is little archeological evidence of human impact in the Mantiqueira. In addition, multitemporal species distribution models built from a combination of present-day and pollen records infer range expansion of the Araucaria Forest during glacial times until the cold humid HS1 event (~16kya), when the forest was most widespread, with no evidence of glacial refugia. The combination of genomic and spatial analyses suggests that both human and climatic controls played a role in the dynamics of the Araucaria Forest.</p>
Data and code from: Climatic variation allows montane willows to escape an adaptive tradeoff
<p>This repository contains the data and R code needed to reproduce all results and figures from Rosenblad & Ackerly (2024) Climatic variation allows montane willows to escape an adaptive tradeoff. File descriptions are below.</p> <p>analysis.R contains all R code.</p> <p>cutting_data.csv contains the following fields: 1- plant_id, a unique identifier for each genetically distinct in situ parent plant, from which cuttings were collected and propagated; 2- cutting_id, which specifies replicate cuttings from each in situ parent plant; 3- diameter_mm, the initial diameter at the base of each cutting (in millimeters) immediately following collection; and 4- height_cm, the initial height of each cutting.</p> <p>freezing_resistance_data.csv contains the following fields: 1- plant_id (see above); 2- cutting_id_1 (see cutting_id above); 3- cutting_id_2, which specifies replicate greenhouse-grown twigs sampled from each greenhouse plant (specified by cutting_id_1); and 4- new_growth, a binary variable indicating whether each twig survived and grew roots following the freezing treatment.</p> <p>leaf_and_shoot_mass_data.csv contains the following fields: 1- plant_id (see above); 2- cutting_id (see above); 3- shoots_g, the dry mass of all leaves harvested from the greenhouse plant at the end of the growth experiment; and 4- leaves_g, the dry mass of all shoots harvested from the greenhouse plant at the end of the growth experiment.</p> <p>plant_id.csv contains the following fields: 1- plant_id (see above); and 2- site_id, a unique identifier for the provenance site of each plant.</p> <p>psi_tlp_data.csv contains the following fields: 1- plant_id (see above); 2- cutting_id (see above); 3- psi_tlp_mpa, the measured turgor loss point (in megapascals); and 4- collection_environment, a binary variable distinguishing greenhouse plants from in situ parent plants.</p> <p>root_mass_data.csv contains the following fields: 1- plant_id (see above); 2- cutting_id (see above); and 3- root_mass_g, the dry mass of roots for the given measurement. Some plants had too much root material to measure all at once, so these plants were split into multiple measurement batches, each of which receives a row in this CSV.</p> <p>S_lemmonii_GBIF.csv contains occurrence data of S. lemmonii from the Global Biodiversity Information Facility. There are many fields. The important fields for this use case are decimalLatitude and decimalLongitude, the WGS 84 coordinates (EPSG 4326) of each observation. Information on the other fields is available at gbif.org.</p> <p>treatment.csv contains the following fields: 1- plant_id (see above); 2- cutting_id (see above); and 3-treatment, a binary variable indicating whether each greenhouse plant received the drought or control treatment during the growth experiment.</p> <p>fig1.png and other similarly named .png files are the figures in the paper. They can be re-generated by running analysis.R.</p> <p>aet_1981_2010_bcm.tif contains mean annual actual evapotranspiration data for the period 1981-2010 from the Basin Characterization Model.</p> <p>aprpck1981_2010_ave_HST_1641848708.tif, and other files with the same basename but different extensions, contain mean April 1 snow water equivalent data for the period 1981-2010 from the Basin Characterization Model.</p> <p>ds542.shp, and other files with the same basename but different extensions, contains a polygon outlining the Sierra Nevada ecoregion.</p> <p>KR_sites_WGS84.shp, and other files with the same basename but different extensions, contain polygons of the provenance sites.</p> <p>tmn1981_2010may_ave_HST_1689800754.tif, and other files with the same basename but different extensions, contain mean May minimum temperature data fro the period 1981-2010 from the Basin Characterization Model.</p>
Jupyter Notebook and comprising data for GRL2023GL106264R: Understanding the Cascade: Removing GCM biases improves dynamically downscaled climate projections
<p>This notebook and attendant files allows users to interface with a small subset of the data used to create the data in GRL2023GL106264R. Also feel free to check out the overall description of the non-bias corrected dynamically downscaled GCMs in WUS-D3 here: https://zenodo.org/records/10635867. This DOI also contains version of WRF 4.1.3 allowing for yearly CH4, CO2, and N2O updates, as well as a 360-day calendar version.</p>
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.