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209 results for “Microclimate”
Microclimate sensor data from 3 locations
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Data from: Monthly microclimate models in a managed boreal forest landscape
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Raw microclimate data from caves and mines in New Brunswick, Canada
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Data from: Disturbance, microclimate and historical habitat connectivity determine the population performance of the threatened grassland specialist Carex caryophyllea in remnant grasslands
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Data from: Fine with heat, problems with water: microclimate alters water loss in a thermally adapted insular lizard
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Forest microclimate dynamics drive plant responses to warming
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Data from: Lizards in the mist: thermal niches constrained by habitat and microclimates in the Andes of southern Bolivia
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Data from: Forest fragmentation alters winter microclimates and microrefugia in human-modified landscapes
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The experimental manipulation of atmospheric drought: Teasing out the role of microclimate in biodiversity experiments
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Data from: Soil microclimate changes affect soil fungal communities in a Mediterranean pine forest
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Body mass and hibernation microclimate may predict bat susceptibility to white-nose syndrome
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Fungal fruit body assemblages are tougher in harsh microclimates
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Effect of external thermal insulation layer on the Chinese solar greenhouse microclimate
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Effects of flowers on land surface albedo and soil microclimate
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Microclimate measurement, HOBO stations at permanent plots, sites
HOBO micromet station are located at the three permanent plots, presidents house, desert botanical garden, and community services building. All stations are equiped with temperature, humidity, and PAR sensors. The station at the DBG is part of an experimental setup in which different watering regimes are tested. At the presidents house soil temperatures and moisture is measured at 3 depth. At the community services building soil temperature and moisture are measured at the same depth under a shrub, in a swale and a slope.
gmkov/microclimate.thermal.tolerance.Heliconius-JEB-2020: Data and scripts for "Microclimate buffering and thermal tolerance across elevations in a tropical butterfly"
<p>Data and scripts associated with the article "Microclimate buffering and thermal tolerance across elevations in a tropical butterfly", Journal of Experimental Biology (2020), by Gabriela Montejo-Kovacevich, Simon H. Martin, Joana I. Meier, Caroline N. Bacquet, Monica Monllor, Chris D. Jiggins & Nicola J. Nadeau</p>
Microclimate at SAFE Flux Tower
<b>Description: </b><p>Microclimate at SAFE Flux Tower above and below canopy recorded with automatic datalogger</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/113"><b>Changing carbon dioxide and water budgets from deforestation and habitat modification</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3888375">here</a></p><p><b>Files: </b>This consists of 1 file: SAFE_FluxTower_MetData_2012-2017.xlsx</p><p><b>SAFE_FluxTower_MetData_2012-2017.xlsx</b></p><p>This file contains dataset metadata and 2 data tables:</p><ol><li><p><b>Above canopy data logger measurement</b> (described in worksheet data_above canopy)</p><p>Description: Above canopy logger at 50 m height at the top of the flux tower. Please note: 1) The rain gauge has false zeros, and possibly some false exceptionally high values, due to it getting easily blocked by insects, seeds and bird faeces, 2) There is a significant data gap, with some intermittent records available during the daytime, between 17/2/2014-17/06/2014 due to the problems in the power supply.</p><p>Number of fields: 10</p><p>Number of data rows: 95653</p><p>Fields: </p><ul><li><b>TIMESTAMP</b>: Time is local time (GMT+8). A significant data gap, with some intermittent records available during the daytime, between 17/2/2014-17/06/2014 due to the problems in the power supply. (Field type: datetime)</li><li><b>RECORD</b>: Number of the records since the data logging first begun (the earliest records deleted, as the system was tested at the camp, not in place at the flux tower). Discontinuities and restarting from 0 when the data logger program was modified (Field type: numeric)</li><li><b>BattV_Avg</b>: Voltage of the datalogger battery (Field type: numeric)</li><li><b>PTemp_C_Avg</b>: Temperature inside the datalogger box (Field type: numeric)</li><li><b>AirTC_Avg</b>: 30-min average air temperature (Field type: numeric)</li><li><b>RH</b>: 30-min average relative humidity (Field type: numeric)</li><li><b>QR_Avg</b>: 30-min average photosynthetically active radiation (Field type: numeric)</li><li><b>NR_Wm2_Avg</b>: Net radiation. Balance of incoming and outgoing all-wave radiation (both short-wave and long-wave components). Negative values indicate that the ecosystem is an energy sink and positive values indicate that the ecosystem is an energy source to the atmosphere (Field type: numeric)</li><li><b>Rain_mm_Tot_WithFalseZeros</b>: Half-hourly rainfall sum. The rain gauge has false zeros, and possibly some false exceptionally high values, due to it getting easily blocked by insects, seeds and bird faeces. (Field type: numeric)</li><li><b>BP_mbar_Avg</b>: 30-min average barometric pressure (Field type: numeric)</li></ul></li><li><p><b>Below canopy data logger measurements</b> (described in worksheet data_below canopy)</p><p>Description: Below canopy data logger. Please note: 1) The initial recording interval was 60 minutes. That was changed to 30 minutes in 02/11/2012, 2) There is a data gap 30/10/2012-2/11/2012. 3) The VW_2_Avg sensor (soil water content at 10 cm) failed on 26/05/2015 and was replaced on 10/09/2015. Since then, the moisture level from that depth has given considerably higher readings.</p><p>Number of fields: 13</p><p>Number of data rows: 95108</p><p>Fields: </p><ul><li><b>TIMESTAMP</b>: Time is local time (GMT+8). The initial recording interval was 60 minutes. That was changed to 30 minutes in 02/11/2012. Data gap from 30/10/2012 to 2/11/2012. (Field type: datetime)</li><li><b>RECORD</b>: Number of the records since the data logging first begun (the earliest records deleted, as the system was tested at the camp, not in place at the flux tower). Discontinuities and restarting from 0 when the data logger program was modified. (Field type: numeric)</li><li><b>BattV_Avg</b>: Voltage of the datalogger battery (Field type: numeric)</li><li><b>PTemp_C_Avg</b>: Temperature inside the datalogger box (Field type: numeric)</li><li><b>QR_1_Avg</b>: 30-min average photosynthetically active radiation below the canopy (at 1m height). QR_Avg_1, QR_Avg_2 and QR_Avg_3 are replicate measurements. (Field type: numeric)</li><li><b>QR_2_Avg</b>: 30-min average photosynthetically active radiation below the canopy (at 1m height). QR_Avg_1, QR_Avg_2 and QR_Avg_3 are replicate measurements. (Field type: numeric)</li><li><b>QR_3_Avg</b>: 30-min average photosynthetically active radiation below the canopy (at 1m height). QR_Avg_1, QR_Avg_2 and QR_Avg_3 are replicate measurements. (Field type: numeric)</li><li><b>VW_1_Avg</b>: 30-min average volumetric soil water content at 5cm depth (Field type: numeric)</li><li><b>VW_2_Avg</b>: 30-min average volumetric soil water content at 10cm depth. The sensor failed on 26/05/2015 and was replaced on 10/09/2015. Since then, the moisture level from that depth has given considerably higher readings. (Field type: numeric)</li><li><b>VW_3_Avg</b>: 30-min average volumetric soil water content at 20 cm depth (Field type: numeric)</li><li><b>TCAV_C_1_Avg</b>: 30-min average soil temperature at 5 cm depth (Field type: numeric)</li><li><b>TCAV_C_2_Avg</b>: 30-min average soil temperature at 10 cm depth (Field type: numeric)</li><li><b>TCAV_C_3_Avg</b>: 30-min average soil temperature at 20 cm depth (Field type: numeric)</li></ul></li></ol><p><b>Date range: </b>2012-03-17 to 2017-12-31</p><p><b>Latitudinal extent: </b>4.7173 to 4.7173</p><p><b>Longitudinal extent: </b>117.6032 to 117.6032</p>
Riparian Microclimates
<b>Description: </b><p>Microclimate at SAFE and LOMBOK rivers</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/155"><b>Do riparian buffer strips stabilise environmental conditions, conserve biodiversity, and maintain ecosystem functions in oil palm-dominated landscapes?</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>NERC (Human Modified Tropical Forests Programme, NE/K016407/1, <a href="http://lombok.nerc-hmtf.info/; http://nerc-hmtf.info/">http://lombok.nerc-hmtf.info/; http://nerc-hmtf.info/</a>)</li><li>British Council and Malaysian Industry Government Group for High Technology (Newton-Ungku Omar Fund, 216433953.0, <a href="http://www.newtonfund.ac.uk/about/about-partner-countries/malaysia/">http://www.newtonfund.ac.uk/about/about-partner-countries/malaysia/</a>)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>Permits: </b>These data were collected under permit from the following authorities:</p><ul><li>SaBC (Research licence JKM/MBS.1000-2/2JLD.5(13))</li></ul><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=4000207">here</a></p><p><b>Files: </b>This consists of 1 file: SAFE_LOMBOK_Rivers_Microclimate_JW.xlsx</p><p><b>SAFE_LOMBOK_Rivers_Microclimate_JW.xlsx</b></p><p>This file contains dataset metadata and 1 data tables:</p><ol><li><p><b>Microclimate at SAFE and LOMBOK rivers</b> (described in worksheet Microclimate)</p><p>Description: Microclimate at SAFE and LOMBOK rivers as recorded by dataloggers. </p><p>Number of fields: 9</p><p>Number of data rows: 198</p><p>Fields: </p><ul><li><b>Site</b>: SAFE & LOMBOK Datalogger Points (Field type: location)</li><li><b>Position</b>: Position of datalogger within the sampling transect where buffer5-45m deisgnates distance from river within forest, bufferedge is within 10m of the edge of a riparian buffer (in forest) and op5-45m designate distance from river in ROP transects or distance from buffer edge in RR or SJI transects (Field type: categorical)</li><li><b>Date</b>: Date datalogger deployed (Field type: date)</li><li><b>maxTemp</b>: Mean daily maximum temperature (Field type: numeric)</li><li><b>meanTemp</b>: Mean daily mean temperature (Field type: numeric)</li><li><b>maxVPD</b>: Mean daily max VPD (Field type: numeric)</li><li><b>meanVPD</b>: mean daily mean VPD (Field type: numeric)</li><li><b>dist_edge</b>: Distance from datalogger to riparian buffer edge (Field type: numeric)</li><li><b>days_recorded</b>: Number of days the datalogger recorded for (Field type: numeric)</li></ul></li></ol><p><b>Date range: </b>2016-12-06 to 2018-05-24</p><p><b>Latitudinal extent: </b>4.3000 to 4.8100</p><p><b>Longitudinal extent: </b>117.1500 to 117.7000</p>
Data from: Ecological and evolutionary responses of an arctic plant to variation in microclimate and soil
<p>The arctic and alpine regions are predicted to experience some of the highest rates of climate change, and the arctic vegetation is expected to be especially sensitive to such changes. Understanding the ecological and evolutionary responses of arctic plant species to changes in climate is therefore a key objective. Geothermal areas, where natural temperature gradients occur over small spatial scales, and without many of the confounding environmental factors present in latitudinal and other gradient studies, provide a natural experimental setting in which to examine the response of arctic-alpine plants to increasing temperatures. To test the ecological and evolutionary response of the circumpolar alpine bistort (Persicaria vivipara) to temperature, we collected plant material and soil from areas with low, intermediate, and high soil temperatures and grew them at three different temperatures in a threefactorial growth chamber experiment. At higher experimental soil temperatures, sprouting was earlier, and plants had more leaves. Sprouting was earlier in soil originating from intermediate temperature and plants had more leaves when grown in soil originating from low temperatures. We did not find evidence of local adaptation or genetic variation in reaction norms among plants originating from areas with low, intermediate, and high soil temperature. Our findings suggest that the alpine bistort has a strong plastic response to warming, but that differences in soil temperature have not resulted in genetic differentiation. The lack of an observed evolutionary response may, for example, be due to the absence of temperature-mediated selection on P. vivipara, the low rate of sexual recombination, or high levels of gene flow balancing differences in selection. When placed within the context of other studies, we conclude that arctic-alpine plant species often show strong plastic responses to spring warming, while evidence of evolutionary responses varies among species.</p>
Greater Sage-grouse nest bowls buffer microclimate in a post-megafire landscape although effects on nest survival are marginal
<p class="Disstext">Temperature at fine spatial scales is an important driver of nest site selection for many avian species during the breeding season and can influence nest success. Sagebrush (<i>Artemisia spp.</i>) communities have areas with high levels of vegetation heterogeneity and high thermal variation; however, fire removes vegetation that provides protection from predators and extreme environmental conditions. To examine the influence of microclimates on Greater Sage-Grouse (<i>Centrocercus urophasianus</i>) nest site selection and nest success in a fire affected landscape, we measured black bulb temperature (<i>T<sub>bb</sub></i>) and vegetation attributes (e.g. visual obstruction) at 3 spatial scales (i.e. nest bowl, microsite, and landscape) in unburned and burned areas. Nest bowls exhibited greater buffering of <i>T<sub>bb</sub></i> than both nearby microsites and the broader landscape. Notably, nest bowls were warmer in cold temperatures, and cooler in hot temperatures, than nearby microsites and the broader landscape, regardless of burn stage. Nest survival (NS) was higher for nests in unburned areas compared to nests in burned areas (unburned NS = 0.43, 95% CI: 0.33 to 0.54; burned NS = 0.24, 95% CI: 0.10 to 0.46). Amount of bare ground was negatively associated with nest survival, but effects diminished as the amount of bare ground reached very low levels. Shrub height and visual obstruction were positively associated with nest survival during the entire study period whereas, minimum <i>T<sub>bb</sub></i> had a weaker effect. Our findings demonstrate that thermoregulatory selection by Greater Sage-Grouse at nest sites had marginal effects on their nest survival. However, given that increases in vegetation structure (e.g. shrub height) provide thermal refuge and increase nest survival, vegetation remnants or regeneration in a post-fire landscape could be critical to Greater Sage-Grouse nesting ecology.</p>
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International Brain Laboratory public data
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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.