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896 results for “distributional ranges”
data sets from "Updated trends of the stratospheric ozone vertical distribution in the 60S–60N latitude range based on the LOTUS regression model"
<p>Monthly means data sets from satellite, ground-based and model records used in the article entitled: "Updated trends of the stratospheric ozone vertical distribution in the 60 S–60 N latitude range based on the LOTUS regression model".</p> <p>Information about and the most recent versions of each dataset can be found at their individual source locations:</p> <p>Merged satellite datasets</p> <ol> <li>SBUV MOD – https://acd-ext.gsfc.nasa.gov/Data_services/merged/index.html (NASA GSFC, USA)</li> <li>SBUV COH: https://ftp.cpc.ncep.noaa.gov/SBUV_CDR/ (NOAA, USA).</li> <li>GOZCARDS: https://www.earthdata.nasa.gov/esds/competitive-programs/measures/gozcards (JPL, NASA, USA)</li> <li>SWOOSH: https://csl.noaa.gov/groups/csl8/swoosh/ (NOAA, USA).</li> <li>SAGE-CCI-OMPS and MEGRIDOP datasets are available through https://climate.esa.int/en/projects/ozone/data/ and ftp://cci_web@ftp-ae.oma.be/esacci (ESA Climate Office). They are provided by FMI, Finland</li> <li>SAGE-SCIAMACHY-OMPS: data record is available upon registration via the following link: http://www.iup.uni-bremen.de/DataRequest/ (U. Bremen, Germany).</li> <li>SAGE-OSIRIS-OMPS: downloading instructions can be found at https://research-groups.usask.ca/osiris/data-products.php#OSIRISLevel3andMergedDataProducts (U. Saskatchewan, Canada).</li> </ol> <p>Ground-based records:</p> <ol> <li>Umkehr – https://gml.noaa.gov/aftp/data/ozwv/Dobson/AC4/Umkehr/Monthly/ (NOAA, USA)</li> <li>ozonesondes – https://hegiftom.meteo.be/datasets/ozonesondes (HEGIFTOM). Measurements at the various stations are provided by the following institutions: <ul> <li>Hohenpeissenberg: DWD, Germany</li> <li>Payerne:MeteoSwiss, Switzerland</li> <li>OHP, CNRS, France</li> <li>Hilo, NOAA, USA</li> <li>Lauder, NIWA, New Zealand</li> </ul> </li> <li>lidar: <a href="http://www.ndacc.org/">http://www.ndacc.org/</a> . Measurement at the various stations are provided by the following institutions: <ul> <li>Hohenpeissenberg: DWD, Germany</li> <li>OHP: CNRS, France</li> <li>MLO: JPL, NASA, USA</li> <li>Lauder: NIWA, New Zealand</li> </ul> </li> <li>FTIR spectrometers – <a href="http://www.ndacc.org/">http://www.ndacc.org/</a> Three sites only provided quality checked measurements relevant for the article. For other ozone FTIR measurements, data in <a href="http://www.ndacc.org/">http://www.ndacc.org/</a> must be used. Measurement used in the article are provided by the following institutions: <ul> <li>Zugspitze: KIT, Germany</li> <li>Jungfraujoch: ULiège, GIRPAS team, Belgium</li> <li>Lauder: NIWA, New Zealand</li> </ul> </li> <li>Microwave spectrometers: <a href="http://www.ndacc.org/">http://www.ndacc.org/</a> Measurement at the various stations are provided by the following institutions: <ul> <li>Payerne: MeteoSwiss, Switzerland</li> <li>Mauna Loa: NRL, USA</li> <li>Lauder: NRL, USA</li> </ul> </li> </ol> <p>Chemistry Climate Model (CCM) CCMI simulations are avilable at https://blogs.reading.ac.uk/ccmi</p>
Global warming pushes the distribution range of the two alpine 'glasshouse' Rheum species north- and upwards in the Eastern Himalayas (EH) and the Hengduan Mountains (HM)
<p><span>Alpine plants' distribution is being pushed higher towards mountaintops due to global warming, finally diminishing their range and thereby increasing the risk of extinction. Plants with specialized 'glasshouse' structures have adapted well to harsh alpine environments, notably to the extremely low temperatures, which makes them vulnerable to global warming. </span><span>How</span><span>ever, their response to global warming is quite unexplored. Therefore, by compiling occurrences and several environmental strata, we utilized multiple ensemble species distribution modeling (eSDM) to estimate the historical, present-day, and future distribution of two alpine 'glasshouse' species <em>Rheum nobile</em> Hook. f. & Thomson and <em>R. alexandrae</em> Batalin. <em>Rheum nobile</em> was predicted to extend its distribution from the Eastern Himalaya (EH) to the Hengduan Mountains (HM), whereas <em>R. alexandrae</em> was restricted exclusively in the HM. Both species witnessed a northward expansion of suitable habitats followed by a southerly retreat in the HM region. Our findings reveal that both species have a considerable range shift under different climate change scenarios, mainly triggered by precipitation rather than temperature. The model predicted northward and upward migration for both species since the last glacial period which is mainly due to expected future climate change scenarios. Further, the observed niche overlap between the two species presented that they are more divergent depending on their habitat, except for certain regions in the HM. However, relocating appropriate habitats to the north and high elevation may not ensure the species' survival, as it needs to adapt to the extreme climatic circumstances in alpine habitats. Therefore, we advocate for more conservation efforts in these biodiversity hotspots.</span></p>
Data from: Rapoport's rule explains the range size distribution of butterflies along the Eastern Himalayan elevation gradient
<p>Understanding elevational range size distribution of organisms can provide valuable insights on biogeographic pattern of species and their conservation. Rapoport's rule posits that the elevational range size of species increases with increasing elevation. However, the validity of this rule is often questioned due to variations in methodologies across studies and inconsistencies among different groups of organisms. In this study we examined the elevational range size distribution of butterflies in the Eastern Himalaya, and assessed the applicability of Rapoport's rule using different approaches, which perhaps is the first of its kind in the Himalaya. We sampled butterflies along the elevational gradient of 16 elevational bands (300 – 3,300 m) using point count method along the transect. The sampled butterflies were grouped into various sub-groups based on family, biogeographic affinity, and larval feeding pattern. We found that the majority of the butterfly species (total as well as sub-groups) had small range sizes, and their elevational range distribution showed support for the Rapoport's rule. Increase in variation in temperature as measured by temperature seasonality and mean annual temperature range were the most important predictors of range size distribution pattern of the overall butterfly community. However, the relationship between range size and climatic variability differed among various sub-groups implying that the perceived pattern may vary even within the species of the same taxon.</p>
Assessing the links between pollinators and the genetic and epigenetic features of plant species with contrasting distribution ranges
<p>In flowering plants, pollinators contribute to gene flow while they also respond to variation in plant traits together determined by genetic, epigenetic and environmental sources of variation. Consequently, a correlation between abundance and diversity of pollinators and the genetic and epigenetic characteristics of plant populations such as diversity or distinctiveness is expected. However, no study has explored these long-term dimensions of plant-pollinator interactions. Mediterranean narrow endemics often exhibit unexpectedly high levels of population genetic and epigenetic diversity. We hypothesize that pollinators may contribute to explain this pattern. Specifically, given the higher sensitivity of small, isolated population to gene flow, we expect a stronger association of pollinators with population genetic and epigenetic variability in narrow endemics than in widely distributed congeners. We studied five pairs of congeneric plant species, consisting of one narrow endemic with a restricted distribution and one widespread congener, found in the Sierra de Cazorla mountains (SE Spain). We characterized the pollinators in up to three populations per species to estimate their diversity and visitation rates. Additionally, we calculated the genetic and epigenetic diversity and distinctiveness of each population using AFLP markers and methylation-sensitive AFLP markers (MSAP), respectively. We assessed the relationship between pollinator diversity and visitation rates. The diversity of pollinators did not vary according to the plant´s distribution range, but visitation rate was higher in widespread species. As predicted, only narrow endemics showed a significant association between pollinators and their population genetic and epigenetic characteristics. Specifically, higher pollinator diversity and visitation rates entailed higher population genetic diversity and lower epigenetic distinctiveness. This work shows the importance of investigating the relationship between pollinator diversity and population genetics and epigenetics to better understand the evolution of plant rarity.</p>
Распространение средиЗемноморской мидии Mytilus galloprovincialis Lamarck, 1819 в Японском море. in The extension of the distributional range of an invasive mussel, Mytilus galloprovincialis (Bivalvia: Mytilidae) in the Sea of Japan
Распространение средиЗемноморской мидии Mytilus galloprovincialis Lamarck, 1819 в Японском море.
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. 1 in Capnodis cariosa (Pallas, 1776) found in a new Romanian location at the northern limit of its distribution range (Coleoptera: Buprestidae)
Fig. 1 – Hills with Cotinus coggygria shrubs, biotope of Capnodis cariosa Pall. at Svinița.
Fig. 2 in Capnodis cariosa (Pallas, 1776) found in a new Romanian location at the northern limit of its distribution range (Coleoptera: Buprestidae)
Fig. 2 – Female Capnodis cariosa Pall. on a small branch of its local host-plant Cotinus coggygria.
Figure 5 in The burmese trout Raiamas guttatus (Day, 1870) (Cypriniformes: Cyprinidae) in South Sumatra revealed its southernmost record of its distributional range
Figure 5. Spots in body of live individual of the R. guttatus (Photo: Muhammad Iqbal).
Figure 3 in The burmese trout Raiamas guttatus (Day, 1870) (Cypriniformes: Cyprinidae) in South Sumatra revealed its southernmost record of its distributional range
Figure 3. Raiamas guttatus, Blungun River, South Sumatra Province (Photo: Muhammad Iqbal).
Fig. 10 in Endemic and sub-endemic water beetles of Mongolia and their distribution ranges
Fig. 10. Similarities of endemic beetle fauna among the sub-basins of Mongolia.
Fig. 11. A in Endemic and sub-endemic water beetles of Mongolia and their distribution ranges
Fig. 11. A dendrogram of water beetle faunal similarity of Mongolia and adjacent territories.
Figure 5. H in Karyological and some morphological characteristics of the Egyptian mongoose, Herpestes ichneumon (Mammalia: Carnivora), along with current distribution range in Turkey
Figure 5. H. ichneumon observed in Karataş-Adana on September 2002 (Photo: Şakir Önder Özkurt).
Figure 2 in Karyological and some morphological characteristics of the Egyptian mongoose, Herpestes ichneumon (Mammalia: Carnivora), along with current distribution range in Turkey
Figure 2. Metaphase plate of a male H. ichneumon from Hatay.
Figure 4 in Distribution of rotifers of high mountain lakes in the Eastern Black Sea Range of Turkey
Figure 4. Taxa distributions of rotifers in the studied lakes.
Fig. 1 in Gastrointestinal parasite diversity of South American camelids (Artiodactyla: Camelidae): First review throughout the native range of distribution
Fig. 1. PRISMA flowchart of the systematic review process.
Additional climate information for research paper «Ecological and Geographical Analysis of Distribution of Heracleum persicum, H. mantegazzianum and H. sosnowskyi on The Northern Limit of Its Invaded Range in Europe» submitted to Russian Journal of Biological Invasions
<p><strong>Additional climate information for research paper «Ecological and Geographical Analysis of Distribution of Heracleum persicum, H. mantegazzianum and H. sosnowskyi on The Northern Limit of Its Invaded Range in Europe» submitted to Russian Journal of Biological Invasions </strong></p>
Figure 2 in Range extension to Santo Domingo de los Tsáchilas province and revised distribution of Platyrrhinus chocoensis (Phyllostomidae: Chiroptera) in western Ecuador
Figure 2. Predictive habitat model using Maxent (AUC value = 0.987), based on 31 specimens with accurate collection sites (black circles) and the new record of Platyrrhinus chocoensis.The shadow under the predictive model corresponds to home range extension before our record. The star represents the new southernmost record reported in this communication.
Figure 1 in Range extension to Santo Domingo de los Tsáchilas province and revised distribution of Platyrrhinus chocoensis (Phyllostomidae: Chiroptera) in western Ecuador
Figure 1. Frontal (A) and lateral (B) views of a live specimen of Platyrrhinus chocoensis collected byWEPR and RAB in San Antonio Farm (voucher number MIZI2012397). (Table 1). Based on the P. chocoensis vouchers deposited Choco-Darien ecoregion were originally settled in the in MECN, QCAZ, TTU, and on our record, we propose that Esmeraldas, Manabí, Santo Domingo de los Tsáchilas, Los the new species distribution extends to Santo Domingo Rios, Western Pichincha and Eastern Guayas Provinces de los Tsáchilas province (Fig. 2). Furthermore, according (CEPF, 2005), so a record of endemic Chocoan species to Burneo & Tirira (2014), it may extend to the Los Rios was to be expected in any locality of these provinces. In Province and may reach the lowland moist forests of the fact, Burneo & Tirira (2014) predicted the potential south- Los Guayas Province, considering the similar ecological ern extent in the distribution of P. chocoensis before the characteristics of these forests. present report. Ramirez-Chaves & Suarez-Castro (2015) report that P. chocoensis occurs in the lowlands of southern Panama DISCUSSION and the Pacific region of Colombia, south to northwest-
Fig. 2 in New data on distribution of Montana striata (Kittary, 1849) (Orthoptera: Tettigoniidae: Platycleidini) in the eastern part of the range
Fig. 2. Predicted probabilities of suitable conditions for Montana striata in the Asian part
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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)
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.