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.
396
datasets available to search
ShareScore release 0.7.1
Dataset results
396 results for “Humidity”
Fig. 3 in Ground beetles (Coleoptera: Carabidae) from the region of Cape Emine (Central Bulgarian Black sea coast). Part I. Taxonomic and zoogeographic structure, life forms, habitat and humidity preferences
Fig. 3. Proportions of the carabid species by zoogeographical complexes.
Fig. 2 in Ground beetles (Coleoptera: Carabidae) from the region of Cape Emine (Central Bulgarian Black sea coast). Part I. Taxonomic and zoogeographic structure, life forms, habitat and humidity preferences
Fig. 2. Proportions of the species among the tribes.
Fig. 1 in Ground beetles (Coleoptera: Carabidae) from the region of Cape Emine (Central Bulgarian Black sea coast). Part I. Taxonomic and zoogeographic structure, life forms, habitat and humidity preferences
Fig. 1. Proportions of the species among the tribes.
dataset: Transporting Tenebrio molitor Eggs: The Effect of Temperature, Humidity and Time on the Hatch Rate
Open the record for dataset details and reuse information.
Dataset for "Influences of light and humidity on carbonyl sulfide-based estimates of photosynthesis"
<p>Measurements between February and July 2017 in Hyytiälä, Finland as presented in "Influences of light and humidity on carbonyl sulfide-based estimates of photosynthesis". Dataset consists of: branch fluxes and mole fractions of COS and CO2; LRU; eddy-covariance fluxes of COS and CO2; COS-based GPP estimates and GPP based on nighttime respiration extrapolated to the daytime; stomatal conductance; internal conductance; meteorological information. </p>
The effect of uncertainty in humidity and model parameters on the prediction of contrail energy forcing
<p>Previous work has shown that while the net effect of aircraft condensation trails (contrails) on the<br>climate is warming, the exact magnitude of the energy forcing per meter of contrail remains uncertain.<br>In this paper, we explore the skill of a Lagrangian contrail model (CoCiP) in identifying flight<br>segments with high contrail energy forcing. We find that skill is greater than climatological<br>predictions alone, even accounting for uncertainty in weather fields and model parameters.</p> <p>We estimate the uncertainty in weather by using the ensemble ERA5 weather reanalysis from the European<br>Centre for Medium-Range Weather Forecasts (ECMWF) as Monte Carlo inputs to CoCiP. We unbias and correct<br>under-dispersion on the ERA5 humidity data by forcing a match to the distribution of in situ humidity<br>measurements taken at cruising altitude. We set aside CoCiP energy forcing estimates calculated using<br>one of the ensemble members as a proxy for ground truth, and report the skill of CoCiP in identifying<br>segments with large positive proxy energy forcing. We further estimate the uncertainty in the model<br>parameters in CoCiP by performing Monte Carlo simulations with CoCiP model parameters drawn from<br>uncertainty distributions consistent with the literature.</p> <p>When CoCiP outputs are averaged over seasons to form climatological predictions, the skill in<br>predicting the proxy is 44%, while the skill of per-flight CoCiP outputs is 84%. If these results carry<br>over to the true (unknown) contrail EF, they indicate that per-flight energy forcing predictions can<br>reduce the number of potential contrail avoidance route adjustments by 2x, hence reducing both the cost<br>and fuel impact of contrail avoidance.</p>
Specific Humidity at 10-m
Open the record for dataset details and reuse information.
Co2 concentration, temperature and humidity in primary classrooms during the Covid-19 Safety Measures in Spain
<p>Co2 concentration, temperature and humidity in primary classrooms during the Covid-19 Safety Measures in Spain. The data presented were collected between 1 May 2020 and 23 June 2021 using a low-cost CO<sub>2</sub> sensor called SCD30 (https://bit.ly/3dDWXu1). This sensor can messure CO<sub>2</sub>, temperature and air humidity. Six nodes were built and deployed in six classrooms in two different schools in two different periods. In the first school, located in Vilafamés (Castellón, Spain), a total of 38,891 observations were carried out. Altogether 34,570 measurements were captured in the second school located in Vall d’Alba (Castellón, Spain).</p>
FIG. 10 in Une sous-famille caractÉristique des forÊts humides primaires malgaches: les Rossodinae (Trichoptera, Philopotamidae)
FIG. 10. — Carte des sites de captures des espèces du genre Rossodes Özdikmen & Darilmaz, 2008.
Varying partitioning of surface turbulent fluxes regulates temperature-humidity dissimilarity in the convective atmospheric boundary layer
<p>This dataset contains the data used in the submitted manuscript of Liu, Liu, Huang, and Xiao 2021. Please refer to the manuscript for the detailed description of the dataset.</p>
FIGURE 3 in Typhlodromalus Aripo De Leon (Acari: Phytoseiidae) Development And Reproduction On Major Cassava Pests At Different Temperatures And Humidities: An Indication Of Enhanced Mite Resilience
FIGURE 3: Mean daily fecundity of Typhlodromalu aripo female on cassava green mite Mononychellus progresivus in absence and presence of B. tabaci crawlers.
FIGURE 2 in Typhlodromalus Aripo De Leon (Acari: Phytoseiidae) Development And Reproduction On Major Cassava Pests At Different Temperatures And Humidities: An Indication Of Enhanced Mite Resilience
FIGURE 2: Mean daily consumption rate by Typhlodromalus aripo female of cassava green mite in absence and presence of Bemisia tabaci crawlers.
FIGURE 1 in Typhlodromalus Aripo De Leon (Acari: Phytoseiidae) Development And Reproduction On Major Cassava Pests At Different Temperatures And Humidities: An Indication Of Enhanced Mite Resilience
FIGURE 1: Leaf disk unit showing dimensions (0.4 cm-depth × 1.5 cm-diameter) of feed area of Typhlodromalus aripo life stage cohorts on cassava green mite (eggs and active), Bemisia tabaci and Phenacoccus manihoti.
Acoustic activity of bats at power lines correlates with relative humidity: A potential role for corona discharges
<p><span>With the ever-increasing dependency on electric power, electrical grid networks are expanding worldwide. Bats exhibit a wide diversity of foraging and flight behaviours, and their sensitivity to anthropogenic stressors suggests this group is very likely to be affected by power lines in a myriad of ways. Yet the effects of power lines on bats remain unknown. Here we assessed the responses of insectivorous bats to very-high-voltage power lines (>220 kV, VHVPL). We implemented a paired sampling design and monitored bats acoustically at 25 pairs, one pair consisting of one forest edge near to VHVPL matched with one control forest edge. Relative humidity mediates the effects of power lines on bats: we detected bat attraction to VHVPL at high relative humidity levels and avoidance of VHVPL by bats at low relative humidity levels. We argue that the former could be explained by insect attraction to the light emitted by VHVPL due to corona discharges while the latter may be due to the physical presence of pylons/cables at foraging height and/or because of electromagnetic fields. Our work highlights the response of bats to power lines at foraging habitats, providing new insight into the interactions between power lines and biodiversity.</span></p>
Microhabitat humidity rather than food availability drives thermo-hydroregulation responses to drought in a terrestrial lizard
<p>The content of this archive includes raw data and metadata for the paper "Microhabitat humidity rather than food availability drives thermo-hydroregulation responses to drought in a terrestrial lizard" by Bodineau et al. In this experimental study, we investigated how microclimate conditions and food availability influence thermo-hydroregulation strategies and body condition of lizards (Zootoca vivipara) during a simulated drought. We found that water restriction and food deprivation caused physiological alterations such as muscle catabolism and mobilization of caudal energy reserves. Lizards developed behavioural strategy to counteract water and food deprivation like decreased thermoregulation effort, higher shelter use and increased eye closure behaviours. Hydric quality of the shelter rather than food availability was the main modulator of trade-offs between thermoregulatory and hydroregulatory activities and an important buffer against the deleterious effects of water restriction. These original findings challenge the assumptions of mechanistic models of ectotherms, which are currently calibrated on the thermal biology of ectotherms. They demonstrate the urgent need to take into account the dual effect of warming and drought events, behavioural interactions between thermoregulation and hydroregulation and the buffering role of microclimatic conditions.</p>
Temperature inversion (TI) and humidity inversion (HI) collected at Xiaomai Island, Qingdao, Shandong, China, from December 30, 2021 to March 1, 2022.
<p>This dataset presents the parameters of temperature inversion (TI) and humidity inversion (HI) calculated using a microwave radiometer. The data were collected at Xiaomai Island, Qingdao, Shandong, China, from December 30, 2021 to March 1, 2022. The parameters include the moment of occurrence, strength, base height, depth and intensity of TI and HI.</p>
Dataset for 'Heat and Humidity Exposure in Mega-cities - an Applied Tool for Energy and Water Harvesting Technologies'
<p>This is the dataset for the article named '<strong>Heat and Humidity Exposure in Mega-cities - an Applied Tool for Energy and Water Harvesting Technologies </strong>'</p>
Development of a Machine Learning-Based Model to Determine the Optimum and Safe Restriping Timing of Thermoplastic Pavement Markings in Hot and Humid Climates
<p>Due to limited budget, most transportation agencies restripe their thermoplastic pavement markings based on a fixed schedule or based on visual inspection instead of monitoring the retroreflectivity and restriping when the retroreflectivity drops below a pre-determined threshold. These strategies are questionable in terms of efficiency and economy. Therefore, previous studies proposed degradation models to predict the retroreflectivity of thermoplastic markings based on key variables. Yet, most of these studies reported low R<sup>2</sup> (as low as 0.1), which placed little confidence in these models. Therefore, the objective of this study was to evaluate and predict the field performance of thermoplastics and to propose cost-effective restriping strategies for thermoplastics used in hot and humid climate service conditions. To achieve this objective, National Transportation Product Evaluation Program (NTPEP) data were mined and analyzed. Results indicated that the service life (SL) of thermoplastics ranged between 0.4 and 12.1 years (according to the initial retroreflectivity, traffic, and surface type) with an average value of 3.4 ± 0.2 years. Four regression models with relatively high accuracy were developed to predict the SL of thermoplastics based on key variables. In addition, the genetic algorithm was used to develop a model that predicts the future retroreflectivty of these pavement markings. The predicted values were compared against actual retroreflectivity measurements collected from a field experiment at Louisiana State University. The results of this study could be used to make effective decisions related to restriping scheduling. Using the proposed models in restriping scheduling can result in considerable cost savings (up to $8,212 per lane-mile), as compared to the conventional restriping strategy.</p>
Data from: Humidity stress and its consequences for male pre- and post-copulatory fitness traits in an insect
<p>Global declines in insect abundance are of significant concern. While there is evidence that climate change is contributing to insect declines, we know little of the direct mechanisms responsible for these declines. Male fertility is compromised by increasing temperatures, and the thermal limit to fertility has been implicated as an important factor in the response of insects to climate change. However, climate change is affecting both temperature and hydric conditions, and the effects of water availability on male fertility have rarely been considered. Here we exposed male crickets <em>Teleogryllus</em> <em>oceanicus</em> to either low- or high-humidity environments while holding temperature constant. We measured water loss and the expression of both pre- and post-mating reproductive traits. Males exposed to a low-humidity environment lost more water than males exposed to a high-humidity environment. A male's cuticular hydrocarbon profile (CHC) did not affect the amount of water lost, and males did not adjust the composition of their CHC profiles in response to hydric conditions. Males exposed to a low-humidity environment were less likely to produce courtship song or produced songs of low quality. Their spermatophores failed to evacuate and their ejaculates contained sperm of reduced viability. The detrimental effects of low humidity on male reproductive traits will compromise male fertility and population persistence. We argue that limits to insect fertility based on temperature alone are likely to underestimate the true effects of climate change on insect persistence, and that the explicit incorporation of water regulation into our modelling will yield more accurate predictions of the effects of climate change on insect declines.</p>
Data from: Diversification processes in Gerp's mouse lemur demonstrate the importance of rivers and altitude as biogeographic barriers in Madagascar's humid rainforests
<p><span>Madagascar exhibits exceptionally high levels of biodiversity and endemism. Models to explain the diversification and distribution of species in Madagascar stress the importance of historical variability in climate conditions which may have led to the formation of geographic barriers by changing water and habitat availability. The relative importance of these models for the diversification of the various forest-adapted taxa of Madagascar has yet to be understood. Here, we reconstructed the phylogeographic history of Gerp's mouse lemur (<em>Microcebus gerpi</em>) to identify relevant mechanisms and drivers of diversification in Madagascar's humid rainforests. We used restriction site associated DNA (RAD) markers and applied population genomic and coalescent-based techniques to estimate genetic diversity, population structure, gene flow and divergence times among <em>M. gerpi</em> populations and its two sister species <em>M. jollyae</em> and <em>M. marohita</em>. Genomic results were complemented with ecological niche models to better understand the relative barrier function of rivers and altitude. We show that <em>M. gerpi</em> diversified during the late Pleistocene. The inferred ecological niche, patterns of gene flow and genetic differentiation in <em>M. gerpi</em> suggest that the potential for rivers to act as biogeographic barriers depended on both size and elevation of headwaters. Populations on opposite sides of the largest river in the area with headwaters that extend far into the highlands show particularly high genetic differentiation, whereas rivers with lower elevation headwaters have weaker barrier functions, indicated by higher migration rates and admixture. We conclude that<em> M. gerpi</em> likely diversified through repeated cycles of dispersal punctuated by isolation to refugia as a result of paleoclimatic fluctuations during the Pleistocene. We argue that this diversification scenario serves as a model of diversification for other rainforest taxa that are similarly limited by geographic factors. In addition, we highlight conservation implications for this critically endangered species, which faces extreme habitat loss and fragmentation. </span></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.