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Fig. 4 in The Eco-Physiological Status Of Hibernating Bats (Chiroptera) In The North Of The European Distribution Range
Fig. 4. α-Tocopherol (A) and retinol (B) content in bat tissues (means ± s.e.m.).
Fig. 7 in Ethological Aspects Of Biodiversity Within And Between Phylloscopus Species: Behavioral Variation Among Birds From The Centre And Periphery Of Breeding Ranges
Fig. 7. The example of a Greenish Warbler male's territory.
Fig. 4 in Ethological Aspects Of Biodiversity Within And Between Phylloscopus Species: Behavioral Variation Among Birds From The Centre And Periphery Of Breeding Ranges
Fig. 4. Terms of arrival of Leaf Warblers to the breeding areas in 1973 – 2014.
Fig. 3 in Ethological Aspects Of Biodiversity Within And Between Phylloscopus Species: Behavioral Variation Among Birds From The Centre And Periphery Of Breeding Ranges
Fig. 3. The example of a 'line-territory' of a Chiffchaff male.
Uncovering the little known impact of a millennia-old traditional use of temperate oak forests: free-ranging domestic pigs markedly change the herb layer, but barely affect the shrub layer
<p>This excel file contains data on ground, herb and shrub layer characteristics of hardwood floodplain forests under different disturbance intensity by free-ranging domestic pigs, a millennia-old practice in Eurasia. We used these dataset to create figures 3, 4, 5, 6 (a) (b), 7, 8 presented in the paper „Uncovering the little known impact of a millennia-old traditional use of temperate oak forests: free-ranging pigs markedly change the herb layer, but barely affect the shrub layer”. Vegetation surveys were conducted in the spring and late summer periods of 2017 and 2018. The bare soil surface and litter cover were visually estimated within each 0.25 ha sampling plot. The cover and composition of the herb layer were recorded using 30 subsamples (1 m2) at each SP (altogether 1680 subsamples). 28 subsamples were located along the four cardinal directions at 2 m distances running from the centre of sampling plots and 2 other subsamples were randomly positioned. The total cover of the upper (higher than 130 cm) and lower (50-130 cm) shrub layer, and the cover of each species by layers, were visually estimated in each 0.25 ha SP. The browsing, rooting and rubbing impacts of pigs were measured along a 56-m-long transect running through the centre of the SPs from north to south. We sampled altogether from 3138 to 3282 woody specimens depending on variables used to describe pigs impacts on specimens.</p>
Mate-choice copying accelerates species range expansion
<p>Mate-choice copying is a type of social learning in which females can change their mate preference after observing the choice of others. This behaviour can potentially affect population evolution and ecology, namely through increased dispersal and reduced local adaptation. Here, we simulated the effects of mate-choice copying in populations expanding across an environmental gradient to understand whether it can accelerate or retard the expansion process. Two mate-choice copying strategies were used: when females target a single individual, and when females target similar individuals. We also simulated cases where the male trait singled out by females with mate-choice maps perfectly onto their genotype or is influenced by genotype-by-environment interactions. These rules have different effects on the results. When a trait is determined by genotype alone, populations where copier females target all similar males expand faster, and the number of potential copiers increases. However, when preference is determined by genotype-by-environment interactions, populations where copier females target a single male have higher dispersal and also expand faster, but the potential number of copiers decreases. The results show that mate-choice copying can accelerate the expansion process, although its adaptiveness depends on the information animals use in different contexts.</p>
Hydrologic data from long-term research catchments at the Santa Rita and Jornada Experimental Ranges
<p>This datasets contains ecohydrological data collected for the research catchments at the Santa Rita Experimental Range (SRER, 31.817° N, -110.851° W) in southern of Arizona and the Jornada Experimental Range (JER, 32.585° N, -106.603° W) in southern New Mexico. The SRER catchment correspond to a mesquite savanna of the Sonoran Desert and the JER catchment is a mixed shrubland of the Chihuahuan Desert.</p> <p>Dataset includes the following ecohydrological variables at a daily scale:</p> <ul> <li>Year of measurement.</li> <li>Day of year (DOY) of measurement.</li> <li>Precipitation (<em>P</em>).</li> <li>Evapotranspiration (<em>ET</em>).</li> <li>Runoff (<em>Q</em>).</li> <li>Soil moisture (<em>SM</em>).</li> <li>Net Radiation (<em>R<sub>n</sub></em>).</li> <li>Sensible heat flux (<em>H</em>).</li> <li>Latent heat flux (<em>λET</em>).</li> <li>Gross primary production (<em>GPP</em>).</li> <li>Ecosystem respiration (<em>R<sub>eco</sub></em>).</li> <li>Net ecosystem exchange (<em>NEE</em>).</li> <li>Air Temperature (<em>Tair</em>).</li> <li>Relative Humidity (<em>RH</em>).</li> <li>Vapour Pressure Deficit (<em>VPD</em>).</li> </ul> <p>Please cite the next data note together with the dataset:</p> <p>Vivoni, E. R., Perez-Ruiz, E. R., Keller, Z. T., Escoto, E. A., Templeton, R. C., Templeton, N. P., Anderson, C. A., Schreiner-McGraw, A. P., Mendez-Barroso, L. A., Robles-Morua, A., Scott, R. L., Archer, S. R., Peters, D. P. C. 2021. Long-term Research Catchments to Investigate Shrub Encroachment in the Sonoran and Chihuahuan Deserts: Santa Rita and Jornada Experimental Ranges. <em>Hydrological Processes</em>. 35: e14031. <a href="https://urldefense.com/v3/__http://doi.org/10.1002/hyp.14031__;!!IKRxdwAv5BmarQ!OTbdNyLUWzTumWFs0u8j8dW3TT9O3UzM6XrcR-ReiWzf7vxHHKdNTKy8wR27fiHR$">http://doi.org/10.1002/hyp.14031</a></p> <p>This new version incudes three new variables (<em>Tair</em>, <em>RH</em> and <em>VPD</em>), and some carbon and water fluxes were updated to match data used in publications 1 and 2.</p> <p>Related publications:</p> <ol> <li>Perez-Ruiz, E.R., Vivoni, E.R., and Sala, O.E. 2022. <a href="https://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecs2.4189" target="_blank" rel="noreferrer noopener">Seasonal Carryover of Water and Effects on Carbon Dynamics in a Dryland Ecosystem</a>. <em>Ecosphere.</em> 13(7): e4189.</li> <li>Vivoni, E.R., Perez-Ruiz, E.R., Scott, R.L., Naito, A.T., Archer, S.R., Biederman, J.A., and Templeton, N.P. 2022. <a href="http://www.sciencedirect.com/science/article/pii/S0168192321004494" target="_blank" rel="noreferrer noopener">A Micrometeorological Flux Perspective on Brush Management in a Shrub-encroached Sonoran Desert Grassland</a>. <em>Agricultural and Forest Meteorology</em>. 313: 108763.</li> <li>Schreiner-McGraw, A.P., and Vivoni, E.R. 2018. <a href="http://agupubs.onlinelibrary.wiley.com/doi/10.1029/2018WR022842">On the Sensitivity of Hillslope Runoff and Channel Transmission Losses in Arid Piedmont Slopes.</a> <em>Water Resources Research</em>. 54(7): 4498-4518.</li> <li>Schreiner-McGraw, A.P., and Vivoni, E.R. 2017. <a href="http://onlinelibrary.wiley.com/doi/10.1002/ecs2.2000/full">Percolation Observations in an Arid Piedmont Watershed and Linkages to Historical Conditions in the Chihuahuan Desert.</a> <em>Ecosphere</em>. 8(11): e02000, <a href="http://dx.doi.org/10.1002/ecs2.2000">http://dx.doi.org/10.1002/ecs2.2000</a></li> <li>Anderson, C.A., and Vivoni, E.R. 2016. <a href="http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015WR018016/abstract">Impact of Land Surface States within the Flux Footprint on Daytime Land-Atmosphere Coupling in Two Semiarid Ecosystems of the Southwestern U.S.</a> <em>Water Resources Research.</em> 52: 4785-4800.</li> <li>Schreiner-McGraw, A.P., Vivoni, E.R., Mascaro, G., and Franz, T.E. 2016. <a href="http://www.hydrol-earth-syst-sci.net/20/329/2016/hess-20-329-2016.html">Closing the Water Balance with Cosmic-ray Soil Moisture Measurements and Assessing Their Relation with Evapotranspiration in Two Semiarid Watersheds.</a> <em>Hydrology and Earth System Sciences</em>. 20: 329-345.</li> <li>Pierini, N.A., Vivoni, E.R., Robles-Morua, A., Scott, R.L., and Nearing, M.A. 2014. <a href="http://onlinelibrary.wiley.com/doi/10.1002/2014WR015781/abstract">Using Observations and a Distributed Hydrologic Model to Explore Runoff Threshold Processes Linked with Mesquite Encroachment in the Sonoran Desert.</a> <em>Water Resources Research</em>. 50(10): 8191–8215.</li> <li>Templeton, R.C., Vivoni, E.R., Méndez-Barroso, L.A., Pierini, N.A., Anderson, C.A., Rango, A., Laliberte, A.S., and Scott, R.L. 2014. <a href="http://www.sciencedirect.com/science/article/pii/S0022169413008718">High-Resolution Characterization of a Semiarid Watershed: Implications on Evapotranspiration Estimates.</a> <em>Journal of Hydrology</em>. 509: 306-319.</li> <li>Vivoni, E.R., Rango, A., Anderson, C.A., Pierini, N.A., Schreiner-McGraw, A., Saripalli, S., and Laliberte, A.S. 2014. <a href="http://www.esajournals.org/doi/abs/10.1890/ES14-00217.1">Ecohydrology with Unmanned Aerial Vehicles.</a> <em>Ecosphere</em>. 5(10): art130. <a href="http://dx.doi.org/10.1890/ES14-00217.1">http://dx.doi.org/10.1890/ES14-00217.1</a></li> </ol> <p> </p>
Enhancing High-Resolution Forest Stand Mean Height Mapping in China through an Individual Tree-Based Approach with Close-Range LiDAR Data
<p><span>We</span> have developed a tree-based approach to create spatially continuous forest stand mean height maps across China through integrating high-<span>point</span> density, high-precision close-range LiDAR data and multisource remote sensing data. The accuracy analysis of the arithmetic mean height (Ha) and the weighted mean height (Hw) demonstrates the feasibility of the proposed method. A practical framework for forestry investigation based on close-range LiDAR was proposed. The mean values of Ha and Hw are 13.3 ± 3.3 m 11.3 ± 2.9 m on pixel level, respectively. Validation based on LiDAR and field sample data shows that the RMSE values, range from 2.6 to 4.1 m for Ha and 2.9 to 4.3 m for Hw, respectively, indicating that our approach outperforms existing forest canopy height maps derived from area-based approaches. Hopefully, our methods and maps will serve as a foundation for estimating carbon storage, monitoring changes in forest structure, managing forest inventory, and assessing wildlife habitat availability. </p>
Figure 2. – Clupea harengus. A in Range extension of the Atlantic herring Clupea harengus (Clupeiformes: Clupeidae) southern part of the Northeast Atlantic Ocean
Figure 2. – Clupea harengus. A: MHNUSC25163-1, 285 mm TL; B: MHNUSC25163-2, 300 mm TL.
FIGURE 10 in The Pannonian Basin System northern margin paleogeography, climate, and depositional environments in the time range during MMCT (Central Paratethys, Novohrad-Nógrád Basin, Slovakia)
FIGURE 10. Polpal outcome chart – climate and ecology.
Data from: Individual differences in sociocognitive traits in semi-free-ranging rhesus monkeys (Macaca mulatta)
<p>Characterizing individual differences in cognition is crucial for understanding the evolution of cognition as well as to test the biological consequences of different cognitive traits. Here, we harnessed the strengths of a uniquely large, naturally-living primate population at the Cayo Santiago Biological Field Station to characterized individual differences in rhesus monkey performance across two social cognitive tasks. A total of <em>n</em> = 204 semi-free-ranging adult rhesus monkeys participated in a data collection procedure, where we aimed to test individuals on both tasks at two time-points that were one year apart. In the <em>socioemotional responses task,</em> we assessed monkeys' attention to conspecific photographs with neutral versus negative emotional expressions. We found that monkeys showed overall declines in interest in conspecific photographs with age, but relative increases in attention to threat stimuli specifically, and further that these responses exhibited long-term stability across repeated testing. In the <em>gaze following task</em> we assessed monkeys' propensity to co-orient with an experimenter. Here, we found no evidence for age-related change in responses, and responses showed only limited repeatability over time. Finally, we found some evidence for common individual variation for performance across the tasks: monkeys that showed greater interest in conspecific photographs were more likely to follow a human's gaze. These results show how studies of comparative cognitive development and aging can provide insights into the evolution of cognition, and identify core primate social cognitive traits that may be related across and within individuals.</p>
Fig. 3 in Feeding and reproductive ecology of Cichla piquiti Kullander & Ferreira, 2006 within its native range, Lajeado reservoir, rio Tocantins basin
Fig. 3. Relationship between the size (standard length SL, cm) of Cichla piquiti and its prey.
Figure 2 in Red deer on the move: home range size and mobility in Bulgaria
Figure 2. Sedated and collared individuals
Figure 2 in Temperature variation in nests of Paleosuchus palpebrosus (Crocodylia: Alligatoridae) near the southern edge of the species´ range, Brazil
Figure 2. Egg-chamber temperatures for three nests in the Serra do Urucum, in 2010, 2012, and 2013.
UWB ranging dataset collected in a Galvanic Plant
<p>Dataset collected as part of the following work:<br>A. Martinelli, S. Jayousi, S. Caputo and L. Mucchi, "UWB Positioning for Industrial Applications: the Galvanic Plating Case Study," <em>2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN)</em>, Pisa, Italy, 2019, pp. 1-7, doi: 10.1109/IPIN.2019.8911746.</p>
Fig. 4 in The effects of short-term climate change on the range of species: the case of the expanding European dwarf mantis Ameles spallanzania in northern Italy (Mantodea: Amelidae)
Fig. 4 – Suitability maps of Ameles spallanzania referred to each decade.
Fig. 5 in The effects of short-term climate change on the range of species: the case of the expanding European dwarf mantis Ameles spallanzania in northern Italy (Mantodea: Amelidae)
Fig. 5 – Boxplots of suitability per decade referred to the historical range and northern Italy.
Fig. 6 in The effects of short-term climate change on the range of species: the case of the expanding European dwarf mantis Ameles spallanzania in northern Italy (Mantodea: Amelidae)
Fig. 6 – Extent of predicted presence areas derived from binary maps.
Fig. 2 in The effects of short-term climate change on the range of species: the case of the expanding European dwarf mantis Ameles spallanzania in northern Italy (Mantodea: Amelidae)
Fig. 2 – Land use in the occurrences of the current period.
Fig. 3 in The effects of short-term climate change on the range of species: the case of the expanding European dwarf mantis Ameles spallanzania in northern Italy (Mantodea: Amelidae)
Fig. 3 – Importance of climatic variables used to model the distribution of Ameles spallanzania.
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.