Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
209
datasets available to search
ShareScore release 0.9.0
Dataset results
209 results for “Microclimate”
Hourly gap microclimate measurements from the Coweeta Hydrologic Laboratory in 1993 and 1994
LTER Gap Project Overview Fact: Tree mortality at small spatial scales represents background levels of forest disturbance in the southern Appalachians, and is the dominant and most frequent initiator of change in terrestrial ecosystems. Hypothesis: Large-scale and rare episodic events (i.e., hurricanes, ice, etc.) may do more to influence tree replacement and stand composition in the long-run than do small scale tree mortality events. Overall Question: What is the ecological significance of small scale mortality events with respect to biotic and abiotic responses. Approach: Experimentally create typical (<300 m2) canopy gaps (girdling and herbicides) at two elevations in Rhododendron and non-Rhododendron areas. Measurements: -automated micro-environmental measurements (air and soil temperature), photosynthetically active radiation, %WC. -hemispherical photography -dendrometer bands and repeated measurements -population dynamics and seedling physiology -in situ closed core N mineralization and nitrification -small and large mammal seed and plant herbivory using exclosures Specific Questions: 1) How are microclimate and nutrient (N) cycling affected by small scale canopy removal? 2) What are the physiological and productivity responses of advanced regeneration? 3) What is the productivity response of non-gap-maker trees (dominants, co-dominant, and saplings)? 4) What strategy for recovery is most likely (seedling recruitment, sapling ingrowth, canopy closure)? 5) How do all of the above relate to/regulate each other? 6) What is the effect of elevation on response? 7) How do responses differ in Rhododendron versus non-Rhododendron areas?
Continuous microclimate measurements from Forest Site J, Coweeta Hydrologic Laboratory, North Carolina, 2007-2016.
This research involves collecting continuous soil moisture measurements on plot J of the forest gap project. In addition, air temperature, and soil temperature at 5 and 20 cm depths are also measured.
Microclimate data from stations within the Great Smoky Mountains National Park, NC
This dataset contains measurements of air temperature, relative humidity, soil temperature, soil bulk electrical conductivity, and soil volumetric water content from a sites located in the Great Smoky Mountains National Park, NC. Soil temperature, soil bulk electrical conductivity, and soil volumetric water are measured at 0-30cm and 30-60cm below ground surface at locations 25 meters above gradient and 25 meters below gradient of a central transect location where air temperature and relative humidity are measured at 1.5 meters above ground surface. Measurements are taken every 60 seconds with average, minimum, and maximum values saved hourly to the output table.
Riparian study: hourly microclimate data from the Coweeta Hydrologic Laboratory from 1994 to 2007
This data set contains air temperature and soil temperature data from the control (hurricane) slope and treatment (manual rhododendron removal) slope on watershed 56 at Coweeta Hydrologic Laboratory. The arrays of thermocouple sensors are arranged along transects that are parallel to the stream channel and 1, 5, and 15 m uphill for each slope. Data were collected from 1994 to 2007 when dataloggers were removed.
Joyce Kilmer Memorial Forest - microclimate station - midslope plot at the Coweeta Hydrologic Laboratory from 1996 to 2008
Tree stem temperature is currently being collected to determine both diurnal and seasonal variation in tree stem temperatures for all species and sizes present at the Joyce Kilmer Memorial Forest mid-slope plot. The purpose of the data is to characterize the tree stem temperature regimes as they relate to tree stem respiration. Data will continue to be collected indefinitely. Data will be subsequently summarized and published. This study supports project 4006: Southern Appalachian tree stem respiration. Resources for students about terms used in this study: Joyce Kilmer Memorial Forest - Source: University of North Carolina-Asheville, National Forests Forest Carbon Cycling - Source: Coweeta Schoolyard LTER
Microclimate data for Saddle grid, 1993, daily.
The objective of this field campaign was to measure microclimatic variables within a mid-latitude alpine tundra zone during the growing season (June - August), and to relate those observations to ecosystem processes and landscape patterns. Microclimatic data were recorded using a Campbell CR21X micrologger on or near the Niwot Ridge Saddle grid. Five sites were chosen (2 of which were snow covered and the remaining 3 being snowfree tundra). Measurements were made at 60-second intervals and averaged on the half hour. These half-hourly data were subsequently averaged for the day. All meteorological instruments on the tower were oriented parallel to the surface at the tower location. The anemometer was located at the top of the meteorological station tower (i.e., 3 m above the surface). The air temperature and relative humidity probe were 2 m above the surface. The pyranometer used for the calculation of incoming solar radiation was 1.5 m above the surface. The pyranometer used for the calculation of outgoing solar radiation was 1.25 m above the surface. The net radiometer was situated between 0.75 and 1 m above the surface. The heat flux transducer was located 5 cm below the surface of the vegetation canopy. The soil temperature probe was located between 0 and 10 cm below the ground surface.
Microclimate data for Saddle grid, 1993, half-hourly.
The objective of this field campaign was to measure microclimatic variables within a mid-latitude alpine tundra zone during the growing season (June - August), and to relate those observations to ecosystem processes and landscape patterns. Microclimatic data were recorded using a Campbell CR21X micrologger on or near the Niwot Ridge Saddle grid. Five sites were chosen (2 of which were snow covered and the remaining 3 being snowfree tundra). Measurements were made at 60-second intervals and averaged on the half hour. These half-hourly data were subsequently averaged for the day. All meteorological instruments on the tower were oriented parallel to the surface at the tower location. The anemometer was located at the top of the meteorological station tower (i.e., 3 m above the surface). The air temperature and relative humidity probe were 2 m above the surface. The pyranometer used for the calculation of incoming solar radiation was 1.5 m above the surface. The pyranometer used for the calculation of outgoing solar radiation was 1.25 m above the surface. The net radiometer was situated between 0.75 and 1 m above the surface. The heat flux transducer was located 5 cm below the surface of the vegetation canopy. The soil temperature probe was located between 0 and 10 cm below the ground surface.
Investigation on the Use of Passive Microclimate Frames in View of the Climate Change Scenario
<p>Passive microclimate frames are exhibition enclosures able to modify their internal climate in order to comply with paintings’ conservation needs. Due to a growing concern about the effects of climate change, future policies in conservation must move towards affordable and sustainable preservation strategies. This study investigated the hygrothermal conditions monitored within a microclimate frame hosting a portrait on cardboard with the aim of discussing its use in view of the climate expected indoors in the period 2041–2070. Its effectiveness in terms of the ASHRAE classification and of the Lifetime Multiplier for chemical deterioration of paper was assessed comparing temperature and relative humidity values simultaneously measured inside the microclimate frame and in its surrounding environment, first in the Pio V Museum and later in a residential building, both located in the area of Valencia (Spain). Moreover, heat and moisture transfer functions were used to derive projections over the future indoor hygrothermal conditions in response to the ENSEMBLES-A1B outdoor scenario. The adoption of microclimate frames proved to be an effective preventive conservation action in current and future conditions but it may not be sufficient to fully avoid the chemical degradation risk without an additional control over temperature.</p>
Data for: Microclimate structures communities, predation and herbivory in the High Arctic
<p> </p> <p>In a warming world, changes in climate may result in species-level responses as well as changes in community structure through knock-on effects on ecological interactions such as predation and herbivory. Yet, the links between these responses at different levels are still inadequately understood. Assessing how microclimatic conditions affect each of them at local scales provides information essential for understanding the consequences of macroclimatic changes projected in the future. </p> <p>Focusing on the rapidly changing High Arctic, we examine how a community based on a common resource species (avens, <i>Dryas spp</i>.), a specialist insect herbivore (<i>Sympistis zetterstedtii</i>), and natural enemies of lepidopteran herbivores (parasitoids) varies along a multidimensional microclimatic gradient. We ask (1) how parasitoid community composition varies with local abiotic conditions, (2) how the community-level response of parasitoids is linked to species-specific traits (koino- or idiobiont life cycle strategy and phenology) and (3) whether the effects of varying abiotic conditions extend to interaction outcomes (parasitism rates on the focal herbivore and realized herbivory rates). </p> <p>We recorded the local communities of parasitoids, herbivory rates on <i>Dryas</i> flowers and parasitism rates in <i>Sympistis</i> larvae at 20 sites along a mountain slope. For linking community-level responses to microclimatic conditions with parasitoid traits, we used joint species distribution modelling. We then assessed whether the same abiotic variables also affect parasitism and herbivory rates, by applying generalized linear and additive mixed models.</p> <p>We find that parasitism strategy and phenology explain local variation in parasitoid community structure. Parasitoids with a koinobiont strategy preferred high-elevation sites with higher summer temperatures or sites with earlier snowmelt and lower humidity. Species of earlier phenology occurred with higher incidence at sites with cooler summer temperatures or later snowmelt. Microclimatic effects also extend to parasitism and herbivory, with an increase in the parasitism rates of the main herbivore <i>S. zetterstedtii</i> with higher temperature and lower humidity, and a matching increase in herbivory rates. </p> <p>Our results show that microclimatic variation is a strong driver of local community structure, species interactions and interaction outcomes in Arctic ecosystems. In view of ongoing climate change, these results predict that macroclimatic changes will profoundly affect arctic communities. </p> <p> </p>
UC4.5 Microclimate stations dataset
<p>These datasets were collected during the period July 2019 - December 2020 in the context of IoF2020-UC4.5 Digital Ecosystem Utilisation (Cyslop).</p> <p>The datasets are stored in xls format.</p> <p>The datasets' file name follows the following structure: <sensor device name>_<deployment location>_<deployment country>_<microclimate sequence id number></p> <p>Each dataset contains the following information:</p> <ul> <li>Timestamp (ISO 8601)</li> <li>Air Humidity (%)</li> <li>Air Temperature (°C)</li> <li>Battery Voltage (mV)</li> <li>Soil Electrical Conductivity (uS)</li> <li>Soil Humidity (%)</li> <li>Soil Salinity (mg/L)</li> <li>Soil TDS (mg/L)</li> <li>Soil Temperature (°C)</li> <li>Super cap Voltage (mV)</li> </ul>
Aboveground microclimate at SAFE 2013 - 2015
<p>Relative humidity and temperature logger data from over 130 sites across the SAFE landscape. The three files include the original quality checked sources put together by Stephen Hardwick from individual logger records and the compiled dataset in two formats. See details here: <a>http://forestecology.net/dokuwiki/safe/safe_data/climate/microclimate</a></p>
Experimental evidence that nest orientation influences microclimate in a temperate grassland
<p>Birds exhibit an assortment of behavioral strategies to cope with variable environmental conditions during reproduction, including altering nest construction behaviors. In species building enclosed domed nests, the microclimate within nests is influenced not only by its structure and the surrounding vegetation but also by the orientation of the nest opening. Many grassland-dependent birds build dome-shaped nests with clear directionality of openings. We studied two species in northeastern Kansas, United States that typically orient their nests east to northeast in this region. However, in a drought year, both Grasshopper Sparrows (<em>Ammodramus savannarum</em>) and Eastern Meadowlarks (<em>Sturnella manga</em>) shifted orientations of their nests southward toward prevailing winds. We hypothesized that this shift reduced the deleterious effects of heat stress on parents and developing young by diminishing morning solar radiation and increasing cooling due to the prevailing southerly winds. To test this hypothesis, we measured temperature, humidity, and wind speed at pairs of unoccupied, field-collected sparrow and meadowlark nests, experimentally placed to face south or east (control) in a non-drought year. Nest orientation affected the daily microclimate patterns, with south-facing nests warming later in the day relative to east-facing nests. The temperature differences depended upon humidity, with south-facing nests being relatively cooler under more humid conditions. This work provides the first experimental evidence of the benefits of plasticity in nest construction under challenging thermoregulatory conditions and shows how ground-nesting birds may reduce thermoregulatory demands during incubation under climate variation.</p>
Data from: Stingless bee foragers experience more thermally stressful microclimates but have wider thermal tolerance breadths than other worker subcastes
<p>The current state of anthropogenic climate change is of particular concern for insects, especially in the tropics where the effects are predicted to be the most deleterious. Researching climatic tolerance in social insects is challenging because adaptations can exist at both an individual level and a societal level. However, these studies are important because social insects comprise a tremendous portion of the planet's animal biomass, biodiversity, and include many important pollinators. Considering how individual physiologies construct group-level adaptations can improve the accuracy of climate change impact assessments for a variety of social species. <em>Tetragonisca angustula</em> is a neotropical stingless bee species known to exhibit particularly high worker subcaste specialization in the form of a morphologically distinct soldier caste, a trait most commonly found and studied in ants and termites. We used this model species to investigate 1) whether age- and size-differentiated task groups differ in thermal tolerance, 2) which worker subcastes operate closest to their thermal limits, and 3) the extent to which behavioral thermoregulation via shifting active foraging times can offset thermal stress in this species. We measured the thermal tolerance (CT<sub>max</sub> and CT<sub>min</sub>) of smaller-bodied foragers, and two soldier sub-castes (hovering guards and standing guards) in <em>T. angustula</em>. Despite the difference in body size between the foragers and guards, no differences in the upper or lower thermal limits were observed. However, the average thermal tolerance breadth of foragers was significantly larger than that of guards, indicating that soldiers at the nest entrance are more thermally specialized than foragers. Temperatures at foraging sites were more variable than at nest entrances, which caused warming tolerance to be significantly lower among small-bodied foragers as compared to either hovering guards or standing guards. The magnitude of warming tolerances indicated a low risk of imminent climate change impacts in this environment, but our results suggest that as temperatures increase, foragers are likely to meet their upper thermal limits before other worker subcastes. Foragers may shift the times they are active as a form of thermoregulation which could selectively impact pollination rates for plants leading to repercussions on agriculture and ecosystem functioning. This work establishes novel approaches to predicting climatic change risk in heterogeneous cooperative societies.</p>
A Gridded Microclimate Dataset from a Sub-Arctic Biodiversity Hotspot in Finland
<p><strong>The dataset comprises 63 spatially continuous microclimate surfaces for the Kilpisjärvi region in northwestern Finland. The study region is a biodiversity hotspot for arctic-alpine flora and fauna and one of the most extensively investigated regions in Northern Europe. The data were gathered through a collaborative network of microclimate loggers, encompassing 430 measurement locations that comprehensively cover the 300 km2 landscape under study. We employed predominantly well-performing Random Forest models to project microclimate variables across the study area at a 3-metre spatial resolution.</strong></p>
Example data for microclimf: Fast above, below or within canopy gridded microclimate modelling with R
<p>runmicrobig.zip - example data required to run function runmicro_big in package vignette</p> <p>Package available: https://github.com/ilyamaclean/microclimf</p>
Microclimate simulation output: "Between vision and action: the predicted effects of co-designed green infrastructure solutions on environmental burdens"
<p>The following microclimate simulation dataset supports the paper "Between vision and action: the predicted effects of co-designed green infrastructure solutions on environmental burdens" by Mathias Schaefer, published in Urban Ecosystems (2022).</p> <p>"T0Simulation_11082020_output" contains data about the status quo simulation of the area of interest (500 m x 500 m x 60 m), whereas "T1Simulation_11082020_output" shows the results of the Green Infrastructure scenario described in the research article above. Please ensure enough memory space on your device, as both files have a size of approximately 25 GB (unzipped).</p> <p>The output files can be visualized with the ENVI-met Leonardo extension. The ENVI-met LITE-version is freely available and can be downloaded at the <a href="https://envi-met.info/doku.php?id=files:download">ENVI-met homepage</a>. Alternatively, the included .NETCDF files can be imported as a multidimensional raster dataset in ArcGIS Pro.</p> <p>Files in the folder "atmosphere" represent meteorological parameters such as potential air temperature [°C], relative humidity [%], or wind speed [m/s]. Air pollution calculations like particulate matter concentrations [µg/m³] can be found in the folder "pollutants". The folder "buildings" contains building data for 3D visualizations of surface temperatures [°C].</p>
Forest microclimate data from 2nd order sites
<div> <h1>Description</h1> <p>Microclimate records collected from SAFE Project 2nd order sitesfrom 2013-2019</p> <h1>Projects</h1> <p> This dataset was collected as part of the following projects: </p><ul> <li><a href="https://safeproject.net/projects/project_view/111">https://safeproject.net/projects/project_view/111</a> </li> </ul> <p></p> <h1>Files</h1> <p>This dataset consists of 3 files: Hardwick_microclimate_2ndOrder.xlsx, Microclimate1319.csv, Microclimate1319.Rdata</p> <h2>Hardwick_microclimate_2ndOrder.xlsx</h2> <p>This file only contains dataset metadata.</p> <h2>Microclimate1319.csv</h2> <p>CSV file containing microclimate data </p> <p>This file contains 1 data tables:</p> <h3>Forest microclimate data from 2nd order sites</h3> <ul> <li>Worksheet: Data</li> <li>Description: Microclimate records collected from SAFE Project 2nd order sitesfrom 2013-2019</li> <li>Number of fields: 7</li> <li>Number of data rows: Unavailable (table metadata description only).</li> <ul> <li>Plot: Location of record (type: location)</li> <li>time: Date and time of record (type: datetime)</li> <li>Temp: Air temperature 1 m above ground (type: numeric)</li> <li>RH: Relative humidity. (type: numeric)</li> <li>DewTemp: Dewpoint temperature. (type: numeric)</li> <li>LoggerType: Make of datalogger that was used (Lascar or iButton) (type: id)</li> <li>LoggerID: Unique reference number for the datalogger (type: id)</li> </ul> </ul> <h2>Microclimate1319.Rdata</h2> <p>RData file containing object 'microclimate' that stores the data</p> <h1>Extents</h1> <ul> <li>Date range: 2013-05-08 to 2019-12-24</li> <li>Latitudinal extent: 4.632° to 4.771°</li> <li>Longitudinal extent: 116.948° to 117.703°</li> </ul> </div>
Fig. 2 in Microclimate and host body condition influence mite population growth in a wild bird-ectoparasite system
Fig. 2. Distribution of nest mite population sizes estimated when nests were placed in a Berlese funnel after nestlings had fledged. All nests began the experiment with the same population size (100 live mites), mimicking identical transmission, but ending population sizes 30–35 days later were highly variable. This suggests that factors of the nest environment or hosts may be playing an important role in mite population growth.
Fig. 4 in Microclimate and host body condition influence mite population growth in a wild bird-ectoparasite system
Fig. 4. The relationship between the substrate the nest was built on: concrete, metal, or wood (y-axis) and the number of mites estimated in the field when chicks were 12 days old. Nests built on wooden substrates had significantly more mites compared to nests built on concrete or metal substrates. This graph was made using raw data, but models reported in the text included site as a random effect.
Fig. 3 in Microclimate and host body condition influence mite population growth in a wild bird-ectoparasite system
Fig. 3. Relationship between the number of non-mite arthropods (x-axis) and nest mites (y-axis) that were recovered when experimental nests were removed from the field after nestlings fledged and placed in a Berlese funnel. Nests with more arthropods had significantly fewer nest mites. This graph was made using raw data, but models reported in text had a Poisson distribution and included site as a random effect.
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.