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2,837 results for “climate data”
Soil moisture and climate data from SmartCityTrees sensors in Amersfoort
<p>Within the frame of the SCOREwater project, the City of Amersfoort commissioned <a href="https://hoefakker.com/boomspecialisten/smart-city-bodemvochtsensor/">Hoefakker</a> to install Teneo soil moisture and climate monitor sensors at several locations in the Schothorst neighbourhood and the Central Railway area. These sensors have been branded as "SmartCityTrees" by Hoefakker. The sensors measure soil moisture, temperature and humidity. Schothorst and the Central Railway area differ in groundwater levels. In Schothorst the groundwater levels are higher (average height: 0.7 meter to 1.0 meter below ground level) than in the Central Railway area (average height: lower than 1.6 meter below ground level). The lowest soil moisture sensors are placed on 1.2 meter below ground level. As a result, in the Schothorst area the sensors are located close to or in the groundwater during winter. In the Central Railway area they are located far above the groundwater level. This makes both areas interesting to include. What all soil moisture sensors have in common is that they are all located nearby trees and in public spaces. Locations differ in terms of: being in the sun or in the shade, being in a green setting (unpaved, such as parks) or being in a paved setting, and being near surface water or not. Because of the differences between the locations the sensors have been installed in, data from the sensors can be used to investigate questions such as:</p> <ul> <li>What is the influence of the type of surface on soil moisture levels?</li> <li>Does the nearby presence of surface water affect soil moisture?</li> <li>What is the influence of heat on soil moisture?</li> <li>What is the relation between groundwater levels fluctuance and soil moisture?</li> <li>Are adjustments on in public spaces (on street level) helpful to improve the soil situation for a more climate adaptive city?</li> </ul> <p>The soil moisture dataset contains soil moisture VWC (volumetric water content, the ratio of water volume to soil volume). This is a percentage represented as a number between 0 and 1. 0.73 for example is 73%.</p> <p>The climate dataset contains temperature in degrees Celsius and the relative humidity. Relative humidity is a percentage represented as a number between 0 and 1 as well.</p> <p>Time period: from 2021-01-01 to 2022-12-31.</p>
Data for Figure 8 of Publication "Additional global climate cooling by clouds due to ice crystal complexity"
<p>This repository contains the data to produce Figure 8 in the paper:</p> <p>"Järvinen, E., Jourdan, O., Neubauer, D., Yao, B., Liu, C., Andreae, M. O., Lohmann, U., Wendisch, M., McFarquhar, G. M., Leisner, T., and Schnaiter, M.: Additional global climate cooling by clouds due to ice crystal complexity, Atmos. Chem. Phys., 18, 15767–15781, https://doi.org/10.5194/acp-18-15767-2018, 2018."</p> <p>Note that the scripts are to be found in the accompanying package (http://dx.doi.org/10.5281/zenodo.8095469)</p>
Data for figures in the Publication "The importance of mixed-phase and ice clouds for climate sensitivity in the global aerosol–climate model ECHAM6-HAM2"
<p>This repository contains the data to produce figures for the paper:</p> <p>"Lohmann, U. and Neubauer, D.: The importance of mixed-phase and ice clouds for climate sensitivity in the global aerosol–climate model ECHAM6-HAM2, Atmos. Chem. Phys., 18, 8807–8828, https://doi.org/10.5194/acp-18-8807-2018, 2018."</p> <p>Note that the scripts are to be found in the accompanying package (https://doi.org/10.5281/zenodo.8183412)</p>
Coupled climate-glacier modelling of the last glaciation in the Alps: modelling data
<p>This dataset contains key distributed 2D variables resulting from the modelling of the Alpine Ice Field over the last glacial cycle from Jouvet and al. (2023, 10.1017/jog.2023.74), including basal surface topography, ice thickness, pressure-adjusted basal temperature, basal and surface ice flow speeds. The results are given on a raster grid in UTM system of coordinate with a spatial resolution of 2 km and a temporal resolution of 100 year. The data are compiled in netCDF.</p> <p>As explained in the paper, the model was designed to match LGM evidence. Modelled results related to intermediate states and to the Holocene must be interpreted with caution considering the relative coarse resolution (2 km). Small ice caps aside the main Alpine Icefield (except the Jura) were excluded.</p>
Soybean data for paper: "Increase of simultaneous soybean failures due to climate change"
<p>Input and Output data used in the paper: ""Increase of simultaneous soybean failures due to climate change""</p> <p>Upon use of part of this dataset, please cite authors and paper related.</p> <p>Input:</p> <p>Observed soybean data obtained from official authorities pre-processed and regularised at 0.5 x 0.5 spatial resolution:</p> soy_yield_1975_2016_05x05_1prc.nc 43.6 MB soy_yield_arg_1974_2019_05x05.nc 44.6 MB soy_yields_US_all_1975_2020_05x05.nc 47.7 MB soybean_harvest_area_calculated_americas_hg.nc soybean_yields_america_detrended_1978_2016.nc 78.8 MB <p> </p> <p>Outputs:</p> <p>Hybrid model outputs for soybean yield from 2015-2100l with trends at 0.5 x 0.5 spatial resolution:</p> hybrid_trend_gfdl-esm4_ssp126_default_yield_soybea ... 14.6 MB hybrid_trend_gfdl-esm4_ssp585_default_yield_soybea ... 14.6 MB hybrid_trend_ipsl-cm6a-lr_ssp126_default_yield_soy ... 14.6 MB hybrid_trend_ipsl-cm6a-lr_ssp585_default_yield_soy ... 14.6 MB hybrid_trend_ukesm1-0-ll_ssp126_default_yield_soyb ... 14.6 MB hybrid_trend_ukesm1-0-ll_ssp585_default_yield_soyb ... 14.6 MB <p>Hybrid model outputs for soybean yield from 2015-2100 without trends at 0.5 x 0.5 spatial resolution:</p> hybrid_gfdl-esm4_ssp126_default_yield_soybean_2015 ... 7.3 MB hybrid_gfdl-esm4_ssp585_default_yield_soybean_2015 ... 7.3 MB hybrid_ipsl-cm6a-lr_ssp126_default_yield_soybean_2 ... 7.3 MB hybrid_ipsl-cm6a-lr_ssp585_default_yield_soybean_2 ... 7.3 MB hybrid_ukesm1-0-ll_ssp126_default_yield_soybean_20 ... 7.3 MB hybrid_ukesm1-0-ll_ssp585_default_yield_soybean_20 ... 7.3 MB
Plant aboveground biomass data: BAC: Biodiversity and Climate (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-cdr/386/8. The abstract below was extracted from the Level 0 data package and is included for context: Climate changes forecast for our region by GCM???s and shifts in biodiversity and composition each have the potential to alter ecosystem functioning; their interactive effects are unknown. The "BAC" experiment is designed to determine the direct and interactive effects of plant species numbers, plant community composition, temperature, and precipitation on 11 productivity, C and N dynamics, stability, and plant, microbe, and insect species abundances in CDR grassland ecosystems.
Data from: Nutrient enrichment negatively impacts flowers and pollinators, especially in warmer climates
Using data from 14 plant and pollinator communities in three continents, we assessed the effect of different fertilization treatments on plant and pollinator abundance and richness. The 14 sites spanned a wide range of ambient temperature and soil fertility and replicated a long-term nutrient experiment identically. This allowed us to separate the role of nutrients across ambient site conditions to determine whether effects vary with environmental conditions. We found an interactive effect of temperature and soil fertility with nutrient enrichment, with N input having a more negative impact on plants and pollinators in warmer climates. Moreover, the effects on flower abundance were more pronounced in high fertility soils, while plant richness was more affected in poor fertility soils. In general, the effect of nutrient enrichment in colder climates was positive, and pollinators were more responsive to nutrient enrichment than plants. These results highlight the high susceptibility of warmer regions and particularly their pollinators to nutrient enrichment. This chapter is presented in a format in which Results and Discussion sections are written together, to match the format of the Journal selected for future submission.
2012 climate data for eddy flux platform on Toolik Lake, Alaska
Yearly file describing the metological conditions on Toolik Lake adjacent to the Toolik Field Research Station (68 38'N, 149 36'W). This location is a floating platform where eddy flux measurements have been made, and should not be confused with either the Toolik Field Station Climate site, which is a land-based station, or the Toolik Lake Climate Station that is lake-based but at a different location (approximately 300 m from the eddy platform). Note that the terrestrial station has been called the "Toolik Main Climate Station", and the station on the lake is located near the main Arctic long term ecological research lake sampling site, and has also been called the Toolik Lake Main Climate Station. Measurements at the eddy climate platform described here include air temperature, relative humidity, barometric pressure, wind direction, wind speed, radiation, and water temperature.
2013 climate data for eddy flux platform on Toolik Lake, Alaska
Yearly file describing the metological conditions on Toolik Lake adjacent to the Toolik Field Research Station (68 38'N, 149 36'W). This location is a floating platform where eddy flux measurements have been made, and should not be confused with either the Toolik Field Station Climate site, which is a land-based station, or the Toolik Lake Climate Station that is lake-based but at a different location (approximately 300 m from the eddy platform). Note that the terrestrial station has been called the "Toolik Main Climate Station", and the station on the lake is located near the main Arctic long term ecological research lake sampling site, and has also been called the Toolik Lake Main Climate Station. Measurements at the eddy climate platform described here include air temperature, relative humidity, barometric pressure, wind direction, wind speed, radiation, and water temperature.
Climate data from the SINERR/GCE/UGAMI weather station at Marsh Landing on Sapelo Island, Georgia, from 01-Jan-2003 to 31-Dec-2003
Air temperature, relative humidity, barometric pressure, precipitation, photosynthetically-available and total solar radiation, and wind speed and direction were measured using an automated Campbell Scientific Instruments climate station installed at Marsh Landing on Sapelo Island, Georgia. Observations were logged at 15 minute intervals throughout the study period. The sensors were mounted on a 10m aluminum tower, with wind sensors mounted at the top, light sensors at approximately 5m, and other sensors at 2-3m to minimize interference from the surrounding landscape. This climate station was jointly operated by the Sapelo Island National Estuarine Research Reserve, the Georgia Coastal Ecosystems LTER Project, and University of Georgia Marine Institute.
Climate data from the SINERR/GCE/UGAMI weather station at Marsh Landing on Sapelo Island, Georgia, from 01-Jan-2004 to 31-Dec-2004
Air temperature, relative humidity, barometric pressure, precipitation, photosynthetically-available and total solar radiation, and wind speed and direction were measured using an automated Campbell Scientific Instruments climate station installed at Marsh Landing on Sapelo Island, Georgia. Observations were logged at 15 minute intervals throughout the study period. The sensors were mounted on a 10m aluminum tower, with wind sensors mounted at the top, light sensors at approximately 5m, and other sensors at 2-3m to minimize interference from the surrounding landscape. This climate station was jointly operated by the Sapelo Island National Estuarine Research Reserve, the Georgia Coastal Ecosystems LTER Project, and University of Georgia Marine Institute.
Climate data from the SINERR/GCE/UGAMI weather station at Marsh Landing on Sapelo Island, Georgia, from 01-Jan-2005 to 31-Dec-2005
Air temperature, relative humidity, barometric pressure, precipitation, photosynthetically-available and total solar radiation, and wind speed and direction were measured using an automated Campbell Scientific Instruments climate station installed at Marsh Landing on Sapelo Island, Georgia. Observations were logged at 15 minute intervals throughout the study period. The sensors were mounted on a 10m aluminum tower, with wind sensors mounted at the top, light sensors at approximately 5m, and other sensors at 2-3m to minimize interference from the surrounding landscape. This climate station was jointly operated by the Sapelo Island National Estuarine Research Reserve, the Georgia Coastal Ecosystems LTER Project, and University of Georgia Marine Institute.
Climate data from the SINERR/GCE/UGAMI weather station at Marsh Landing on Sapelo Island, Georgia, from 01-Jan-2006 to 31-Dec-2006
Air temperature, relative humidity, barometric pressure, precipitation, photosynthetically-available and total solar radiation, and wind speed and direction were measured using an automated Campbell Scientific Instruments climate station installed at Marsh Landing on Sapelo Island, Georgia. Observations were logged at 15 minute intervals throughout the study period. The sensors were mounted on a 10m aluminum tower, with wind sensors mounted at the top, light sensors at approximately 5m, and other sensors at 2-3m to minimize interference from the surrounding landscape. This climate station was jointly operated by the Sapelo Island National Estuarine Research Reserve, the Georgia Coastal Ecosystems LTER Project, and University of Georgia Marine Institute.
Climate data from the SINERR/GCE/UGAMI weather station at Marsh Landing on Sapelo Island, Georgia, from 01-Jan-2007 to 31-Dec-2007
Air temperature, relative humidity, barometric pressure, precipitation, photosynthetically-available and total solar radiation, and wind speed and direction were measured using an automated Campbell Scientific Instruments climate station installed at Marsh Landing on Sapelo Island, Georgia. Observations were logged at 15 minute intervals throughout the study period. The sensors were mounted on a 10m aluminum tower, with wind sensors mounted at the top, light sensors at approximately 5m, and other sensors at 2-3m to minimize interference from the surrounding landscape. This climate station was jointly operated by the Sapelo Island National Estuarine Research Reserve, the Georgia Coastal Ecosystems LTER Project, and University of Georgia Marine Institute.
Climate data from the SINERR/GCE/UGAMI weather station at Marsh Landing on Sapelo Island, Georgia, from 01-Jan-2008 to 31-Dec-2008
Air temperature, relative humidity, barometric pressure, precipitation, photosynthetically-available and total solar radiation, and wind speed and direction were measured using an automated Campbell Scientific Instruments climate station installed at Marsh Landing on Sapelo Island, Georgia. Observations were logged at 15 minute intervals throughout the study period. The sensors were mounted on a 10m aluminum tower, with wind sensors mounted at the top, light sensors at approximately 5m, and other sensors at 2-3m to minimize interference from the surrounding landscape. This climate station was jointly operated by the Sapelo Island National Estuarine Research Reserve, the Georgia Coastal Ecosystems LTER Project, and University of Georgia Marine Institute.
Climate data from the SINERR/GCE/UGAMI weather station at Marsh Landing on Sapelo Island, Georgia, from 01-Jan-2009 to 31-Dec-2009
Air temperature, relative humidity, barometric pressure, precipitation, photosynthetically-available and total solar radiation, and wind speed and direction were measured using an automated Campbell Scientific Instruments climate station installed at Marsh Landing on Sapelo Island, Georgia. Observations were logged at 15 minute intervals throughout the study period. The sensors were mounted on a 10m aluminum tower, with wind sensors mounted at the top, light sensors at approximately 5m, and other sensors at 2-3m to minimize interference from the surrounding landscape. This climate station was jointly operated by the Sapelo Island National Estuarine Research Reserve, the Georgia Coastal Ecosystems LTER Project, and University of Georgia Marine Institute.
Climate data from the SINERR/GCE/UGAMI weather station at Marsh Landing on Sapelo Island, Georgia, from 01-Jan-2010 to 31-Dec-2010
Air temperature, relative humidity, barometric pressure, precipitation, photosynthetically-available and total solar radiation, and wind speed and direction were measured using an automated Campbell Scientific Instruments climate station installed at Marsh Landing on Sapelo Island, Georgia. Observations were logged at 15 minute intervals throughout the study period. The sensors were mounted on a 10m aluminum tower, with wind sensors mounted at the top, light sensors at approximately 5m, and other sensors at 2-3m to minimize interference from the surrounding landscape. This climate station was jointly operated by the Sapelo Island National Estuarine Research Reserve, the Georgia Coastal Ecosystems LTER Project, and University of Georgia Marine Institute.
Climate data from the SINERR/GCE/UGAMI weather station at Marsh Landing on Sapelo Island, Georgia, from 01-Jan-2011 to 31-Dec-2011
Air temperature, relative humidity, barometric pressure, precipitation, photosynthetically-available and total solar radiation, and wind speed and direction were measured using an automated Campbell Scientific Instruments climate station installed at Marsh Landing on Sapelo Island, Georgia. Observations were logged at 15 minute intervals throughout the study period. The sensors were mounted on a 10m aluminum tower, with wind sensors mounted at the top, light sensors at approximately 5m, and other sensors at 2-3m to minimize interference from the surrounding landscape. This climate station was jointly operated by the Sapelo Island National Estuarine Research Reserve, the Georgia Coastal Ecosystems LTER Project, and University of Georgia Marine Institute.
Climate data from the SINERR/GCE/UGAMI weather station at Marsh Landing on Sapelo Island, Georgia, from 01-Jan-2012 to 31-Dec-2012
Air temperature, relative humidity, barometric pressure, precipitation, photosynthetically-available and total solar radiation, and wind speed and direction were measured using an automated Campbell Scientific Instruments climate station installed at Marsh Landing on Sapelo Island, Georgia. Observations were logged at 15 minute intervals throughout the study period. The sensors were mounted on a 10m aluminum tower, with wind sensors mounted at the top, light sensors at approximately 5m, and other sensors at 2-3m to minimize interference from the surrounding landscape. This climate station was jointly operated by the Sapelo Island National Estuarine Research Reserve, the Georgia Coastal Ecosystems LTER Project, and University of Georgia Marine Institute.
Climate data from the SINERR/GCE/UGAMI weather station at Marsh Landing on Sapelo Island, Georgia, from 01-Jan-2013 to 31-Dec-2013
Air temperature, relative humidity, barometric pressure, precipitation, photosynthetically-available and total solar radiation, and wind speed and direction were measured using an automated Campbell Scientific Instruments climate station installed at Marsh Landing on Sapelo Island, Georgia. Observations were logged at 15 minute intervals throughout the study period. The sensors were mounted on a 10m aluminum tower, with wind sensors mounted at the top, light sensors at approximately 5m, and other sensors at 2-3m to minimize interference from the surrounding landscape. This climate station was jointly operated by the Sapelo Island National Estuarine Research Reserve, the Georgia Coastal Ecosystems LTER Project, and University of Georgia Marine Institute.
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.