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2,837 results for “Climate Data”
Tree ring, leaf mining, climate, and remote sensing data from aspen leaf miner survey sites: III - Climate, leaf mining, and NDVI data
This dataset contiains annual site-level measurements from 2004 - 2015 of growing season climate moisture index ( GS CMI; summed CMI from May - September), average site level leaf mining, and mean July - August normalized difference vegetation index (NDVI) derived from Landsat, GIMMS3g, MODIS Aqua, and MODIS Terra
Macon County, NC Middle School Climate Data
The climate station at the Macon Middle School near Franklin, NC was established in February 2000. The objectives were to: 1) locate a climate station outside of the Coweeta Basin, but within Macon County, North Carolina, measuring air temperature, air humidity, precipitation, solar radiation, wind speed, wind direction, vapor pressure, and barometric pressure 2) provide students and teachers at the school with a unique teaching tool, and 3) provide the public with an online archive of weather data.
Climate Change Across Seasons Experiment (CCASE) at the Hubbard Brook Experimental Forest: Tree Growth Data in support of "Declining Winter Snowpack Offsets Carbon Storage Enhancement from Growing Season Warming in Northern Temperate Forest Ecosystems", Conrad-Rooney et al. PNAS 2025
Data associated with the publication: Conrad-Rooney E, AB Reinmann, PH Templer. Declining Winter Snowpack Offsets Carbon Storage Enhancement from Growing Season Warming in Northern Temperate Forest Ecosystems. Proceedings of the National Academy of Sciences, 2025. This dataset includes cumulative stem biomass carbon data (from pre-treatment in 2012 until 2022) and annual stem biomass growth rates (not cumulative) for 2015-2022 for the red maple trees at the Climate Change Across Seasons Experiment. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Climate Change Across Seasons Experiment (CCASE) at the Hubbard Brook Experimental Forest: Soil Temperature, Soil Frost, and Snow Depth Data in support of "Declining Winter Snowpack Offsets Carbon Storage Enhancement from Growing Season Warming in Northern Temperate Forest Ecosystems", Conrad-Rooney et al. PNAS 2025
Data associated with the publication: Conrad-Rooney E, AB Reinmann, PH Templer. Declining Winter Snowpack Offsets Carbon Storage Enhancement from Growing Season Warming in Northern Temperate Forest Ecosystems. Proceedings of the National Academy of Sciences, 2025. This dataset includes soil temperature (winter 2021-2022) and snow depth and frost depth (winter 2022-2023) at the Climate Change Across Seasons Experiment. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Infilled climate data for C1, Saddle, and D1, 1990 - 2019, hourly.
This serially complete dataset includes hourly, quality-controlled, infilled meteorological data for three sites at the Niwot Ridge LTER: C1, Saddle, and D1, representing subalpine, alpine, and high-alpine environments, respectively. Raw observations of air temperature, relative humidity, wind speed, and incoming shortwave radiation were subjected to a rigorous hierarchical quality control and infilling protocol to make a robust, continuous dataset. Incoming longwave radiation was estimated using air temperature, relative humidity, and incoming shortwave radiation. Precipitation data were accessed from the Niwot Ridge LTER quality controlled datasets and Kittel et al. (2015). Precipitation values from C1 and Saddle were then corrected for gage undercatch (C1) and overcatch (Saddle) based on observations of snow accumulation at the Niwot SNOTEL station and snow pits located near the met stations (D1 precipitation data were not corrected as there were no available observation of snow accumulation). Daily precipitation values were temporally disaggregated to the hourly time step of the dataset. This dataset was originally created to force a physics-base snow model and is suitable for use in other research models that require hourly forcing data. Please contact the dataset's creators or the LTER data manager if you have any questions regarding the data or its applicability/suitability to your project. Disclaimer: These data come as-is with no warranty. The user must decide whether or not to use different variables and time periods within the dataset and whether further processing is warranted. In general, the data quality is higher and there are fewer infilled values from 2000 to 2013. The higher number of infilled entries before 2000 may preclude the 1990–1999 period from being used in a given analysis. This is particularly true for relative humidity and incoming solar radiation. The Niwot Ridge LTER is not responsible for the methodological choices made by those using
Infilled climate and heat flux data for Tvan towers data loggers (CR3000), 2008 - ongoing.
Two identical 3-meter towers were installed near T-Van in 2007, and continuous meteorological and eddy covariance data are presented beginning in 2008. The sampling interval was 5 seconds for the meteorological data and 10 Hz for the eddy covariance data, and 30-minute means of all variables were calculated using a Campbell Scientific CR3000 datalogger. The 30-minute mean data were subsequently averaged to create this 24-hour mean dataset. Information about specific sensors, instrumental orientation, units, and data post-processing and infilling procedures are contained in the metadata for this file.
Climate data for subniv data logger (CR1000), 2014 - ongoing, 10 minute.
In the fall of 2013, a historical field laboratory structure was struck by lightning. During the repair of the station's tower, a climate sensor array was constructed at the site. Data collection began in 2014. Climatological data are collected from the “Subnivean” climate station on Niwot Ridge (3738 m elevation) throughout the year. Data were recorded using a Campbell Instruments CR1000 data logger. Maximum and minimum values are recorded instantaneously, with a sampling interval of 10 seconds, and programmed to generate 10-minute output. These data represent the native resolution (10 minute) data from 2014 onward, with quality flags applied but no data removed.
Climate data for C1 data logger (CR21X), 1986 - 2000.
Climatological data were collected from a Niwot Ridge climate station (C1) throughout the year using a Campbell Instruments CR21X data logger. Maximum and minimum values are recorded instantaneously, with the sampling interval being 30 seconds, until 28 January 1999 at which time the sampling interval was changed to 2 seconds. Daily averages and totals were calculated from 2880 individual measurements until 28 January 1999 and 43200 after that date. This instrument was programmed to generate both hourly and daily output. Parameters measured include solar radiation, air temperature, relative humidity, barometric pressure, wind speed, wind vector, wind direction, and UVB.
Climate data for C1 chart recorder, 1952 - 1982.
Climatological data were collected from a Niwot Ridge climate station (C1 at 3018 m) throughout the year. Parameters measured were temperature, relative humidity, solar radiation, precipitation, barometric pressure, and wind speed. The station was initially instrumented with a thermohygrograph (regularly calibrated and checked with maximum and minimum thermometers and psychrometers), which was equipped with a Bourdon tube (to measure temperature) and a banjo-spread hair element (to measure relative humidity). The thermohygrograph was situated in a white, all wood, louvered Stevenson screen which is oriented with the door facing north. The station was initially instrumented with a standard 8-inch precipitation gauge installed with the rim 1 m above ground. A recording precipitation gauge was installed in 1962, with the installation in the clearing positioned so that the gauge rim subtended an angle of 45 degrees to the tree crowns although the most effective angle is 30 degrees according to Leaf (1962). Precipitation was caught in a bucket containing ethylene glycol (to melt snow) and light oil (to prevent evaporation). As the weight of the bucket increased, a pen moved up via a spring mechanism and recorded on a rotating chart. Solar radiation was recorded on a bimetalic strip mechanical actinometer. Ninety percent of solar radiation from 360 to 2000 nm was transmitted through the instrument's glass dome. Barometric pressure was recorded on a Friez microbarograph at the Mountain Research Station at 2880 m. The instrument was calibrated against a full-range mercurial, Fortin-type barometer. The station was initially instrumented with a totalizing anemometer (approximately 0.7 m above the general level of tree crowns). Wind speed (peak gust) was subsequently measured with a 3-cup, AC-generating anemometer that continuously recorded onto an Esterline Angus strip chart recorder. Wind direction was recorded as a pen position on a continuously recording strip chart. The t
Climate data for C1 chart recorder, 1982 - 1988.
Climatological data were collected from a Niwot Ridge climate station (C1 at 3018 m) throughout the year. Parameters measured were temperature, relative humidity, solar radiation, barometric pressure, wind speed, and run of wind. The station was instrumented with a thermohygrograph (regularly calibrated and checked with maximum and minimum thermometers and psychrometers), which was equipped with a Bourdon tube (to measure temperature) and a banjo-spread hair element (to measure relative humidity). The thermohygrograph was situated in a white, all wood, louvered Stevenson screen which was oriented with the door facing north. Solar radiation was recorded on a bimetalic strip mechanical actinometer. Ninety percent of solar radiation from 360 to 2000 nm was transmitted through the instrument's glass dome. Barometric pressure was recorded on a Friez microbarograph at the Mountain Research Station at 2880 m. The instrument was calibrated against a full-range mercurial, Fortin-type barometer. Wind speed (peak gust) was measured with a 3-cup, AC-generating anemometer that continuously recorded onto an Esterline Angus strip chart recorder. Average wind speed was calculated from the peak gust trace. Run of wind was measured with a Belford totalizing cup anenometer with a counter (at a height of approximately 3 meters above ground). The thermohygrograph, actinometer, and microbarograph all used wind-up or battery-driven clock drives that rotated the recording chart on a right cylindrical drum with a fixed period between 24 h and 861 h depending on the gears used. These clock mechanisms were virtually identical and therefore completely interchangeable among the instruments.
Climate data for D1 data logger (CR21X), 1986 - 2000.
Climatological data were collected from a Niwot Ridge climate station (D1) throughout the year using a Campbell Instruments CR21X data logger. Maximum and minimum values arerecorded instantaneously, with the sampling interval being 30 seconds. Daily means and totals are calculated from 2880 individual measurements. This instrument was programmed to generate both hourly and daily output. Parameters measured includesolar radiation, air temperature, relative humidity, barometric pressure, wind speed, wind vector, and wind direction. Solar radiation CR21X measurements were discontinued 10 August 1993.
Climate data for D1 chart recorder, 1982 - 1988.
Climatological data were collected from a Niwot Ridge climate station (D1 at 3743 m) throughout the year. Parameters measured were temperature, relative humidity, solar radiation, wind speed and run of wind. The station was instrumented with a thermohygrograph (regularly calibrated and checked with maximum and minimum thermometers and psychrometers), which was equipped with a Bourdon tube (to measure temperature) and a banjo-spread hair element (to measure relative humidity). The thermohygrograph was situated in a white, all wood, louvered Stevenson screen which was oriented with the door facing north. Solar radiation was recorded on a bimetalic strip mechanical actinometer. Ninety percent of solar radiation from 360 to 2000 nm was transmitted through the instrument's glass dome. Wind speed (peak gust) was measured with a 3-cup, AC-generating anemometer that continuously recorded onto an Esterline Angus strip chart recorder. Run of wind was measured with a Belford totalizing cup anenometer with a counter (at a height of approximately 3 meters above ground). Average wind speed was calculated from the peak gust trace. The thermohygrograph and actinometer both used wind-up or battery-driven clock drives that rotated the recording chart on a right cylindrical drum with a fixed period between 24 h and 861 h depending on the gears used. These clock mechanisms were virtually identical and therefore completely interchangeable among the instruments.
Climate data for Saddle data logger (CR21X), 1986-2000.
Climatological data were collected from a Niwot Ridge climate station (saddle) throughout the year using a Campbell Instruments CR21X data logger. Maximum and minimum values are recorded instantaneously, with the sampling interval being 30 seconds, until 4 February 1991 at which time the sampling interval was changed to 2 seconds. Daily means and totals were calculated from 2880 individual measurements until 4 February 1991 and 43200 after that date. This instrument was programmed to generate both hourly and daily output. Parameters measured include solar radiation, air temperature, relative humidity, barometric pressure, wind speed, wind vector, and wind direction.
Climate data for Saddle chart recorder, 1981 - 1982.
Climatological data were collected from a Niwot Ridge climate station (Saddle, 3525 m) throughout the year. Parameters measured were temperature, relative humidity, solar radiation, and precipitation. Although wind speed, wind direction, and barometric pressure were originally listed as parameters for this data set, no values were actually found to be present in the data and these columns were therefore removed from the data set. The station was instrumented with a thermohygrograph (regularly calibrated and checked with maximum and minimum thermometers and psychrometers), which was equipped with a Bourdon tube (to measure temperature) and a banjo-spread hair element (to measure relative humidity). The thermohygrograph was situated in a white, all wood, louvered Stevenson screen which is oriented with the door facing north. The station was instrumented with a recording precipitation gauge. Precipitation was caught in a bucket containing ethylene glycol (to melt snow) and light oil (to prevent evaporation). As the weight of the bucket increased, a pen moved up via a spring mechanism and recorded on a rotating chart. A snow fence was placed around the gauge to give more accurate precipitation measurements during windy conditions. Solar radiation was recorded on a bimetalic strip mechanical actinometer. Ninety percent of solar radiation from 360 to 2000 nm was transmitted through the instrument's glass dome. Wind speed (peak gust) was measured with a 3-cup, AC-generating anemometer that continuously recorded onto an Esterline Angus strip chart recorder. Wind direction was recorded as a pen position on a continuously recording strip chart. The thermohygrograph, rain gauge, and actinometer all used wind-up or battery-driven clock drives that rotated the recording chart on a right cylindrical drum with a fixed period between 24 h and 861 h depending on the gears used. These clock mechanisms were virtually identical and therefore completely interchangeable among the instrum
Data for 'Future Transboundary Water Stress and Its Drivers Under Climate Change: A Global Study'
<p><strong>This dataset is a supplement to the following publication (please cite that when using the data):</strong></p> <p>Munia et al. 2020. Future transboundary water stress and its drivers under climate change: a global study. Earth’s future. <a href="https://doi.org/10.1029/2019EF001321">https://doi.org/10.1029/2019EF001321</a></p> <p> </p> <p><strong>Water stress category data</strong></p> <p>Dataset presents the water stress category in transboundary basins at sub-basin level for different scenarios (see article for details):</p> <ul> <li> <p>stress_category_Historical.gpkg: stress for years 1980 and 2010</p> </li> <li> <p>stress_category_SSP1‐RCP26.gpkg: stress for year 2050, SSP1‐RCP2.6 scenario</p> </li> <li> <p>stress_category_SSP1‐RCP45.gpkg: stress for year 2050, SSP1‐RCP4.5 scenario</p> </li> <li> <p>stress_category_SSP2‐RCP60.gpkg: stress for year 2050, SSP2‐RCP6.0 scenario</p> </li> <li> <p>stress_category_SSP3‐RCP60.gpkg: stress for year 2050, SSP3‐RCP6.0 scenario</p> </li> </ul> <p> </p> <p><strong>Dataset specifications:</strong></p> <p>Type: geopackage (gpkg)</p> <p>Spatial extent: -165, 141.5, -54.5, 70.5 (xmin, xmax, ymin, ymax)</p> <p>Temporal extent: see above</p> <p>Projection: long/lat WGS84 (EPSG:4326)</p> <p>Information: sub-basin name, country, stress level, stress category</p> <p>Unit: -</p> <p> </p>
A global flood risk modeling framework built with climate models and machine learning - Submission - Data Supplement
<p>This contribution contains data, fitted statistical models, and an analysis script for the submitted manuscript "A global flood risk modeling framework built with climate models and machine learning" by David A. Carozza and Mathieu Boudreault.</p>
Data from: A changing climate is snuffing out post-fire recovery in montane forests
Aim: <p>Climate warming is increasing fire activity in many of Earth's forested ecosystems. Because fire is an important catalyst for change, investigation of post-fire vegetation response is crucial for understanding the potential for future conversions from forest to non-forest vegetation types. To better understand effects of wildfire and climate warming on forest recovery, we assessed the extent to which climate and terrain influence spatiotemporal variation in past and future post-fire tree regeneration.</p> Location: <p>Montane forests, Rocky Mountains, USA</p> Time Period: <p>1981-2099</p> Taxa Studied: <p><i>Pinus ponderosa</i>; <i>Pseudotsuga menziesii</i></p> Methods: <p>We developed a network of dendrochronological samples (n = 717) and field plots (n = 1301) from post-fire environments spanning a range of topographic and climatic settings. We then used boosted regression trees to predict annual suitability for post-fire seedling establishment and generalized linear mixed models to predict total post-fire seedling abundances, reconstructing recent trends in post-fire recovery and projecting future dynamics using three general circulation models (GCMs) under moderate and extreme emission scenarios.</p> Results: <p>Though 1981-2015 declines in growing season (April-September) precipitation were associated with declining suitability for seedling establishment, 2021-2099 trends in precipitation were widely variable among GCMs, leading to mixed projections of future establishment suitability. In contrast, climatic water deficit (CWD), strongly tied to warming temperature and increased evaporative demand, was projected to increase throughout our study area. Our projections strongly suggest that future increases in CWD and an increased frequency of extreme drought will reduce post-fire seedling abundances.</p> Main Conclusions: <p>Our findings highlight the key roles of warming and drying in declines in forest resilience to wildfire. The striking differences in projections of post-fire recovery between moderate and extreme emissions scenarios suggest that the most extreme impacts on forest resilience in the latter part of the 21<sup>st</sup> century may be mitigated with aggressive emissions reductions in the next two decades.</p>
Data from: Climatic drivers of latitudinal variation in Late Triassic tetrapod diversity
<p>The latitudinal biodiversity gradient (LBG), the increase in biodiversity from the poles to the equator, is one of the most widely recognised global macroecological patterns, yet its deep time evolution and drivers remain uncertain. The Late Triassic (237–201 million years ago), a critical interval for the early evolution and radiation of modern tetrapod groups (e.g. crocodylomorphs, dinosaurs, mammaliamorphs), offers a unique opportunity to explore the palaeolatitudinal patterns of tetrapod diversity since it is extensively sampled spatially when compared with other pre-Cenozoic intervals, particularly at lower palaeolatitudes. Here, we explore palaeolatitudinal patterns of Late Triassic tetrapod diversity by applying sampling standardisation to comprehensive occurrence data from the Paleobiology Database. We then use palaeoclimatic model simulations to explore the palaeoclimatic ranges occupied by major tetrapod groups, allowing insight into the influence of palaeoclimate on the palaeolatitudinal distribution of these groups. Our results show that Late Triassic tetrapods generally do not conform to a modern-type LBG; instead, sampling-standardised species richness is highest at mid-palaeolatitudes. In contrast, the richness of pseudosuchians (crocodylians and their relatives) is highest at the palaeoequator, a pattern that is retained throughout their subsequent evolutionary history. Pseudosuchians generally occupied a more restricted range of palaeoclimatic conditions than other tetrapod groups, a condition analogous to modern day reptilian ectotherms, while avemetatarsalians (the archosaur group containing dinosaurs and pterosaurs) exhibit comparatively wider ranges, which is more similar to modern endotherms, such as birds and mammals, suggesting important implications for the evolution of thermal physiology in dinosaurs.</p>
Data from: Climate drives the geography of marine consumption by changing predator communities
<p>The global distribution of primary production and consumption by humans (fisheries) is well-documented, but we have no map linking the central ecological process of consumption within food webs to temperature and other ecological drivers. Using standardized assays that span 105° of latitude on four continents, we show that rates of bait consumption by generalist predators in shallow marine ecosystems are tightly linked to both temperature and the composition of consumer assemblages. Unexpectedly, rates of consumption peaked at midlatitudes (25 to 35°) in both Northern and Southern Hemispheres across both seagrass and unvegetated sediment habitats. This pattern contrasts with terrestrial systems, where biotic interactions reportedly weaken away from the equator, but it parallels an emerging pattern of a subtropical peak in marine biodiversity. The higher consumption at midlatitudes was closely related to the type of consumers present, which explained rates of consumption better than consumer density, biomass, species diversity, or habitat. Indeed, the apparent effect of temperature on consumption was mostly driven by temperature-associated turnover in consumer community composition. Our findings reinforce the key influence of climate warming on altered species composition and highlight its implications for the functioning of Earth's ecosystems.</p>
Phenological and climate data for herbarium specimens of Streptanthus tortuosus (Brasicaceae)
<p>These data represent phenological data derived from herbarium specimens of Streptanthus tortuous collected between 1903 and 2013 in California. The associated temperature and precipitation related climate data during the year of specimen collection at the location of collection are also included.</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.