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951 results for “places”
Data from: Same places, same stories? Genomics reveals similar structuring and demographic patterns for four Pocillopora coral species in the southwestern Indian Ocean
<p><strong>Aim</strong> Efficiently protecting species requires knowing their ecological, life history and reproductive traits. This is particularly decisive for scleractinian corals, key components of coral reefs, which are experiencing critical declines. Yet their connectivity remains insufficiently documented. Here, we focused on four distinct species of the coral genus <em>Pocillopora</em> found in diverse habitats of the southwestern Indian Ocean and presenting various reproductive strategies. We aimed to understand whether these traits affect species connectivity.</p> <p><strong>Location</strong> Archipelagos and islands of the southwestern Indian Ocean.</p> <p><strong>Taxon</strong> <em>Pocillopora </em>spp.</p> <p><strong>Methods</strong> We used target-capture to collect single-nucleotide polymorphisms (SNPs) from over a thousand colonies sampled across nine localities. From the ca. 1,400 SNPs retained per species, Bayesian clustering methods, networks and demographic inferences were applied to first infer the population genetic structure and connectivity of each species, then the demographic history of each population.</p> <p><strong>Results</strong> All four <em>Pocillopora</em> species exhibited almost the same genetic structuring pattern, reflecting the sampled ecoregions (Madagascar and surrounding islands vs. Mascarene Islands). However, the genetic differentiation was stronger ( <em>F<sub>ST</sub></em> about 10 times higher) for <em>P. acuta</em>, the species inhabiting more enclosed habitats, such as lagoons and shallow waters, and reproducing mainly asexually. Similarly, all populations, except those from <em>P. acuta</em>, showed a signature of population expansion ca. 100,000 years ago, following the penultimate glacial period.</p> <p><strong>Main conclusions</strong> These results indicate reduced gene flow between Madagascar and the Mascarenes, probably linked to currents, suggesting distinct connectivity networks that should be considered independently when setting up conservation plans. In addition, shared demographic histories reflect that populations from these species have probably met the same environmental constraints and reacted similarly, something that should be considered in light of the ongoing rapid climate change.</p>
Data and R code for machine learning modelling of favourite places and routes of outdoor recreation
<p>This is a script showing the analysis used in a paper submitted for review in Landscape and Urban Planning, titled "Seeing through their eyes: Revealing recreationists’ landscape preferences through viewshed analysis and machine learning", by Carl Lehto, Marcus Hedblom, Anna Filyushkina and Thomas Ranius. </p> <p>The zip file contains an R script, data saved in .rds format and a R workspace. </p>
Places Audio Captions (Japanese) 100k
<p>The Places Audio Caption (Japanese) 100K Corpus contains approximately 100,000 Japanese spoken captions for natural images drawn from the Places 205 image dataset.</p> <p>This speech corpus was collected to investigate the learning of spoken language (words, sub-word units, higher-level semantics, etc.) from visually-grounded speech. For a description of the corpus, see:</p> <pre><code>@INPROCEEDINGS{Ohishi2020trilingual, author={Ohishi, Yasunori and Kimura, Akisato and Kawanishi, Takahito and Kashino, Kunio and Harwath, David and Glass, James}, booktitle={ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, title={Trilingual Semantic Embeddings of Visually Grounded Speech with Self-Attention Mechanisms}, year={2020}, pages={4352-4356}, }</code></pre> <p>The corpus only includes audio recordings, and not the associated images. You will need to separately download the Places image dataset <a href="http://places.csail.mit.edu/">here</a>.</p> <p>The data is distributed under the Creative Commons Attribution-ShareAlike (CC BY-SA) license <a href="https://creativecommons.org/licenses/by-sa/4.0/legalcode">(link)</a>.</p> <p>If you use this data in your own publications, please cite the paper above.</p>
Analysis of biodiversity data suggests that mammal species are hidden in predictable places
<p>Research in the biological sciences is hampered by the Linnean shortfall, which describes the number of hidden species that are suspected of existing without formal species description. Using machine learning and species delimitation methods, we built a predictive model that incorporates some 5.0 × 10<sup>5</sup> data points for 117 species traits, 3.3 × 10<sup>6</sup> occurrence records, and 9.1 × 10<sup>5</sup> gene sequences from 4,310 recognized species of mammals. Delimitation results suggest that there are hundreds of undescribed species in class Mammalia. Predictive modeling indicates that most of these hid- den species will be found in small-bodied taxa with large ranges characterized by high variability in temperature and precipitation. As demonstrated by a quantitative analysis of the literature, such taxa have long been the focus of taxonomic research. This analysis supports taxonomic hypotheses regarding where undescribed diversity is likely to be found and highlights the need for investment in taxonomic research to overcome the Linnean shortfall.</p>
Fig. 4 in Interspecific Agression Of The Passerine Birds (Aves, Passeriformes) On Watering Places In Wood-And-Steppe Zone Of Ukraine
Fig. 4. Rating of success of attack and defense of birds in Kaniv Nature Reserve.
Fig. 5 in Interspecific Agression Of The Passerine Birds (Aves, Passeriformes) On Watering Places In Wood-And-Steppe Zone Of Ukraine
Fig. 5. Rating of success of attack and defense of birds State Arboretum "Alexandria".
Data from: Prey encounters and spatial memory influence use of foraging patches in a marine central place forager
<p class="MsoNormal">Given the patchiness and long-term predictability of marine resources, memory of high-quality foraging grounds is expected to provide fitness advantages for central place foragers. However, it remains challenging to characterise how marine predators integrate memory with recent prey encounters to adjust fine-scale movement and use of foraging patches. Here, we used two months of movement data from harbour seals (<em>Phoca vitulina</em>) to quantify the repeatability in foraging patches as a proxy for memory. We then integrated these data into analyses of fine-scale movement and underwater behaviour to test how both spatial memory and prey encounter rates influenced the seals' Area Restricted Search (ARS) behaviour. Specifically, we used one month's GPS data from 29 individuals to build spatial memory maps of searched areas, and archived accelerometry data from a subset of five individuals to detect prey catch attempts, a proxy for prey encounters. Individuals were highly consistent in the areas they visited over two consecutive months. Hidden Markov Models showed that both spatial memory and prey encounters increased the probability of seals initiating ARS. These results provide evidence that predators use memory to adjust their fine scale movement and this ability should be accounted for in movement models.</p>
Place re-making and sense of place after quarrying and social-ecological restoration - dataset
<p>The dataset provides coded input data for the study "Place re-making and sense of place after quarrying and social-ecological restoration". In this study, we examine how people’s place making and sense of place are reconfigured through quarrying. We investigate perceptions of sense of place after quarrying and social-ecological restoration in a limestone region of the Czech Karst in the Czech Republic. The dataset contains the result of our survey of 400 participants - visitors to the PLA Czech Karst who visited one of the eight study quarries and were questioned in the quarry. When selecting participants for our study, purposive sampling was applied to receive a gender-balanced sample of participants of various ages. We used a paper questionnaire suitable for the data collection directly in the field. The questionnaire was anonymous. </p>
In the right place, at the right time: the integration of bacteria into the Plankton Ecology Group model
<p><strong><span>Background</span></strong></p> <p><span>Planktonic microbial communities have critical impacts on the pelagic food web and water quality status in freshwater ecosystems, yet no general model of bacterial community assembly linked to higher trophic levels and hydrodynamics has been assessed. In this study, we utilized a two-year survey of planktonic communities from bacteria to zooplankton on three freshwater reservoirs to investigate their spatiotemporal dynamics.</span></p> <p><strong><span>Result</span></strong></p> <p><span>We observed the site-specific presence and microdiversification of bacteria in lacustrine and riverine environments, as well as in deep hypolimnia. Moreover, we determined recurrent bacterial seasonal patterns driven by both biotic and abiotic conditions, which could be integrated into the well-known Phytoplankton Ecology Group (PEG) model describing primarily the seasonalities of larger plankton groups. Importantly, bacteria with different ecological potentials showed finely coordinated successions affiliated with four seasonal phases, including the spring bloom dominated by fast-growing opportunists, the clear-water phase associated with oligotrophic ultramicrobacteria, the summer phase characterized by phytoplankton bloom-associated bacteria, and the fall/winter phase driven by decay-specialists. </span><span> </span></p> <p><strong><span>Conclusion</span></strong></p> <p><span>Our findings elucidate the principles driving the spatiotemporal microbial community distribution in freshwater ecosystems. We suggest an extension to the original PEG model by integrating recurrent bacterial seasonal trends.</span></p>
Results of surface hot-in place recycling (remix) of modified and alternative asphalt mixtures in Finland. Part II: Bitumen scale
<p>The following material is included in a digital appendix.</p> <ul> <li><strong><a href="https://zenodo.org/api/files/a34688f2-e7e5-43a4-bcb7-a4238429f56b/Appendix%201.%20FT-IR.pdf?versionId=6ea761b1-a830-4e01-a761-f103373497ce">Appendix 1</a>:</strong> FT-IR spectra of all bitumens before and after REM/RUT.</li> <li><strong><a href="https://zenodo.org/api/files/a34688f2-e7e5-43a4-bcb7-a4238429f56b/Appendix%202.%20Gradations.pdf?versionId=b8b1b0b0-d421-42f8-84ef-728cb1acce33">Appendix 2</a>:</strong> Gradations of the specimens before and after REM/RUT (two specimens per material).</li> <li><strong><a href="https://zenodo.org/api/files/a34688f2-e7e5-43a4-bcb7-a4238429f56b/Appendix%203.%20DSR%20test%20results.pdf?versionId=cd3ccf9e-a264-458c-9d54-fcfbca40ec1f">Appendix 3</a>:</strong> DSR test data. Complex shear modulus (G*), phase angle (δ), and Black diagram for all materials before and after REM/RUT.</li> <li><strong><a href="https://zenodo.org/api/files/a34688f2-e7e5-43a4-bcb7-a4238429f56b/Appendix%204a.%20DSR%20master%20curves%20(8-mm).pdf?versionId=44f9c881-912f-4f35-b4c7-193d88d5572c">Appendix 4a</a>:</strong> DSR shifted data, and master (fitted) curves, 8-mm, summary before and after REM/RUT.</li> <li><strong><a href="https://zenodo.org/api/files/a34688f2-e7e5-43a4-bcb7-a4238429f56b/Appendix%204b.%20DSR%20master%20curves%20(4-mm).pdf?versionId=30952a8f-029b-409f-ba87-da9d9972880b">Appendix 4b</a>:</strong> DSR shifted data, and master (fitted) curves, 4-mm, summary before and after REM/RUT.</li> <li><strong><a href="https://zenodo.org/api/files/a34688f2-e7e5-43a4-bcb7-a4238429f56b/Appendix%205.%20WLF%20and%20sigmoidal.pdf?versionId=fb826979-868d-47f4-8acd-697550000f87">Appendix 5</a>:</strong> WLF fitting constants (Table A1), and parameters for sigmoidal curves (Table A2).</li> <li><strong><a href="https://zenodo.org/api/files/a34688f2-e7e5-43a4-bcb7-a4238429f56b/Data%20II%20-%20Read%20me.pdf?versionId=c40871da-deff-456f-b4d6-a6136e9c294a">Database</a>:</strong> Laboratory data (Excel files, brief read-me guide) of all tests at bitumen scale. </li> </ul>
Results of surface hot-in place recycling (remix) of modified and alternative asphalt mixtures in Finland. Part I: Mixture scale
<p>The following material is included as a digital appendix:</p> <ul> <li><strong><a href="https://zenodo.org/api/files/ecff4755-8652-4c3b-9dcf-28cf09002c98/Appendix.%20Cores%20and%20plots%20of%20test%20results.pdf?versionId=39468d84-e556-41c4-b86c-0ccdb2d5a36e">Appendix</a>. </strong>Images of selected cores, and test results for all specimens at the mixture scale (plots): bulk density, air voids, strength, stiffness, Prall abrasion, and creep permanent deformation.</li> <li><a href="https://zenodo.org/api/files/ecff4755-8652-4c3b-9dcf-28cf09002c98/Data%20I%20-%20Read%20me.pdf?versionId=e500484c-10df-417a-bc1c-d2017d70d64f"><strong>Database</strong></a> with laboratory test data and measurements (mixture scale). Two Excel files and brief read-me guide.</li> </ul>
T a b l e 2 in Genetic Diversity And Place In The General Phylogeographic Structure Of Capercaillie,Tetrao Urogallus (Galliformes, Phasianidae), From Belarus
T a b l e 2. The number of the capercaillie in Belarus
Unravelling the mystery of red flowers in the Mediterranean Basin: How to be conspicuous in a place dominated by hymenopteran pollinators
<p>Red-flowered species have traditionally been related to ornithophily, and the 'bee avoidance' hypothesis, i.e. red flower coloration is a way to reduce visits from hymenopterans, has been proposed to explain this association. In the Mediterranean Basin, ornithophily is almost absent, and hymenopterans are the most common group of pollinators. The fact that hymenopterans are virtually red-blind raises the question of how red-flowered species are pollinated in this region. Are these flowers pollinated by other groups of red-sensitive insects such as lepidopterans and coleopterans, or do they have visual cues that make them attractive to hymenopterans? We examined the reflectance spectra of 51 red-flowered species from the Mediterranean Basin and modelled these spectra in the visual system of hymenopterans, dipterans, coleopterans, and lepidopterans to obtain colour and conspicuousness. According to their reflectance curves, species were classified as pure red and UV-red flowers, and the presence of more than one flower colour (patterned flowers) was studied. We evaluated the match between flower reflectance spectra and the maximum discrimination abilities of hymenopteran and lepidopteran visual system. All these metrics were analysed in a phylogenetically explicit framework, and a literature review of potential pollinators was performed. The vast majority of red-flowered species in the Mediterranean Basin are potentially pollinated by hymenopterans, and only three species are exclusively visited by coleopterans. We found that 90% of these species showed at least one colour signal strategy that helps to enhance conspicuousness to hymenopterans: to produce UV-red flower type spectra and/or patterned flowers. The UV-red colour showed a significant phylogenetic signal, but the presence of patterned flowers did not. Even though the red-flowered species of the Mediterranean Basin did not optimally match the colour vision of hymenopterans or lepidopterans, the presence of patterned and UV-red colours suggests an improvement in detection and discrimination by hymenopterans. The bee-avoidance hypothesis seems to be ruled out for the red-flowered species of the Mediterranean Basin. Our results suggest that red-flowered species are mostly pollinated by hymenopterans and show different flower colour signal strategies that can be interpreted as signs of adaptation to these pollinators.</p>
CLDF Dataset derived from D-PLACE
<p><strong>This dataset contains the data from D-PLACE, the Database of Places, Language, Culture and Environment, serialized as CLDF Structure Dataset.</strong></p>
Giant redwoods of Wakehurst Place
3 *Sequoiadendron giganteum* at Kew's[ Waekhurst Place ](https://www.kew.org/wakehurst/visit-wakehurst) captured by the team from [@TLS_TREES](https://twitter.com/TLS_TREES). These trees were planted in 1890.  Source: Objaverse 1.0 / Sketchfab
Pohutukawa tree 2 in Emily Place
Old Pohutukawa tree growing over the footpath in Emily Place Reserve, Auckland, New Zealand. My 3D model generated with photogrammetry software 3DF Zephyr v4.350 processing 50 images Source: Objaverse 1.0 / Sketchfab
Stratford New Place Glazed Roof Tile Fragment V2
An example of the olive green-glazed decorative ridge tiles found during the excavation. These would have given the New Place roof a very distinctive appearance at its apex. It was likely to have been produced at Chilvers Coton, Warwickshire. More information at: www.searchingforshakespeare.co.uk Source: Objaverse 1.0 / Sketchfab
Sago place near Rojo
<p>Sago place in East Kameng. Three persons doing the three major steps of sago processing: 1) chipping the sago trunk into fine fibres (upper right) 2) pounding the sago fibres 3) washing out the starch and filtering</p> <p>Photo taken on 27.03.2014 on the way between the villages Kojo and Rojo, East Kameng, Arunachal Pradesh, India.</p>
Filter and sedimentation place
<p>Filter and sedimentation place.</p> <p>Photo taken on 14.02.2016 in Bulu, Nafra circle, West Kameng, Arunachal Pradesh, India.</p>
Sago processing place in Bulu
<p>Sago processing place in Bulu. The woman on the right is pounding the sago fibres.</p> <p>Photo taken on 13.04.2015 near the main river in Bulu village, Nafra circle, Arunachal Pradesh, India.</p>
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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)
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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.