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72 results for “mammal distribution”
Data from: Supplementing non-target taxa: bird feeding alters the local distribution of mammals
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Data from: Distributions of mammals in Southeast Asia: the role of the legacy of climate and species body mass
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At-sea seabird censuses. Data on the species encountered (including marine mammals), their abundance, distribution and behavior. Data collected aboard cruises off the coast of the Western Antarctic Penninsula, 1993 - 2018.
The objectives of the LTER seabird component during the 92-93 season cruises were similar. These objectives included 1) determining the pelagic abundance and distribution of Adelie Penguins, 2) examining how the physical and biological characteristics of the marine environment influence these parameters and, 3) using these data to identify foraging areas that may be important to Adelie populations being studied as part of land-based work at Palmer Station. Secondary objectives included documenting the abundance and distribution of other seabirds and marine mammals within the LTER study area. The focus of the January cruise was the nearshore foraging habitat,which required sampling at smaller scales. All seabird censuses were thus conducted within approximately 100 kms of Palmer Station while traversing a sampling grid with stations at 10km intervals. The first two days (18-20 January) of this cruise were spent covering the selected grid as rapidly as possible resulting in 45 transects spaced at 45-60 minute intervals. There were no stops at the 10km stations during this Fast Grid phase. Upon completion of the Fast Grid, a force 12 gale suspended data collection for 24 hours. From January 22-25 the grid direction was reversed and the grid repeated. During this Slow Grid phase, 2-M net tows were done at 10km intervals and BOPS and 1-M and 2-M net tows every 20 km. All seabird censuses during the cruise were done using the procedures outlined in the previous paragraph.
At-sea seabird censuses. Data on the species encountered (including marine mammals), their abundance, distribution and behavior. Data collected aboard cruises off the coast of the Western Antarctic Penninsula, 1993, 1999 and 2001.
The objectives of the LTER seabird component during the 92-93 season cruises were similar. These objectives included 1) determining the pelagic abundance and distribution of Adelie Penguins, 2) examining how the physical and biological characteristics of the marine environment influence these parameters and, 3) using these data to identify foraging areas that may be important to Adelie populations being studied as part of land-based work at Palmer Station. Secondary objectives included documenting the abundance and distribution of other seabirds and marine mammals within the LTER study area. The focus of the January cruise was the nearshore foraging habitat,which required sampling at smaller scales. All seabird censuses were thus conducted within approximately 100 kms of Palmer Station while traversing a sampling grid with stations at 10km intervals. The first two days (18-20 January) of this cruise were spent covering the selected grid as rapidly as possible resulting in 45 transects spaced at 45-60 minute intervals. There were no stops at the 10km stations during this Fast Grid phase. Upon completion of the Fast Grid, a force 12 gale suspended data collection for 24 hours. From January 22-25 the grid direction was reversed and the grid repeated. During this Slow Grid phase, 2-M net tows were done at 10km intervals and BOPS and 1-M and 2-M net tows every 20 km. All seabird censusesduring the cruise were done using the procedures outlined in theprevious paragraph.
At-sea seabird censuses. Data on the species encountered (including marine mammals), their abundance, distribution and behavior. Data collected aboard cruises off the coast of the Western Antarctic Penninsula, 1993 - 2018.
The objectives of the LTER seabird component during the 92-93 season cruises were similar. These objectives included 1) determining the pelagic abundance and distribution of Adelie Penguins, 2) examining how the physical and biological characteristics of the marine environment influence these parameters and, 3) using these data to identify foraging areas that may be important to Adelie populations being studied as part of land-based work at Palmer Station. Secondary objectives included documenting the abundance and distribution of other seabirds and marine mammals within the LTER study area. The focus of the January cruise was the nearshore foraging habitat, which required sampling at smaller scales. All seabird censuses were thus conducted within approximately 100 kms of Palmer Station while traversing a sampling grid with stations at 10km intervals. The first two days (18-20 January) of this cruise were spent covering the selected grid as rapidly as possible resulting in 45 transects spaced at 45-60 minute intervals. There were no stops at the 10km stations during this Fast Grid phase. Upon completion of the Fast Grid, a force 12 gale suspended data collection for 24 hours. From January 22-25 the grid direction was reversed and the grid repeated. During this Slow Grid phase, 2-M net tows were done at 10km intervals and BOPS and 1-M and 2-M net tows every 20 km. All seabird censuses during the cruise were done using the procedures outlined in the previous paragraph. Seventy-two 30-minute transects and 15 station censuses were completed during the January cruise. Athough seabirds were widely distributed throughout the study area, the highest densities and greatest biomass occurred consistently within 2-5 km of Anvers Island and several major island groups to the south and west near the Antarctic Peninsula. Adelie Penguins were the dominant component of this seabird assemblage in terms of both abundance and biomass. South Polar Skuas ranked second and Black-browed Al
At-sea seabird censuses. Data on the species encountered (including marine mammals), their abundance, distribution and behavior. Data collected aboard cruises off the coast of the Western Antarctic Penninsula, 1993, 1999 and 2001.
The objectives of the LTER seabird component during the 92-93 season cruises were similar. These objectives included 1) determining the pelagic abundance and distribution of Adelie Penguins, 2) examining how the physical and biological characteristics of the marine environment influence these parameters and, 3) using these data to identify foraging areas that may be important to Adelie populations being studied as part of land-based work at Palmer Station. Secondary objectives included documenting the abundance and distribution of other seabirds and marine mammals within the LTER study area. The focus of the January cruise was the nearshore foraging habitat,which required sampling at smaller scales. All seabird censuses were thus conducted within approximately 100 kms of Palmer Station while traversing a sampling grid with stations at 10km intervals. The first two days (18-20 January) of this cruise were spent covering the selected grid as rapidly as possible resulting in 45 transects spaced at 45-60 minute intervals. There were no stops at the 10km stations during this Fast Grid phase. Upon completion of the Fast Grid, a force 12 gale suspended data collection for 24 hours. From January 22-25 the grid direction was reversed and the grid repeated. During this Slow Grid phase, 2-M net tows were done at 10km intervals and BOPS and 1-M and 2-M net tows every 20 km. All seabird censusesduring the cruise were done using the procedures outlined in theprevious paragraph.
Geographical Distribution of Mammal Images (Flickr-Mammal dataset)
<p>This dataset is created based on the geographical distribution of common mammal images on Flickr.</p> <p>In this dataset, we provide the metadata of all images in this dataset, including their geotags, license status, URL to the images, and their corresponding countries and geographical regions (based on <a href="https://unstats.un.org/unsd/methodology/m49/">UN M49 Standard</a>).</p> <p>We also provide easy-to-use scripts for the user to download the images from their URLs.</p> <p>If you use this dataset in your research, we would appreciate a reference to the following paper:</p> <p>Kevin Hsieh, Amar Phanishayee, Onur Mutlu, and Phillip B Gibbons. "<a href="https://proceedings.icml.cc/static/paper_files/icml/2020/3152-Paper.pdf">The Non-IID Data Quagmire of Decentralized Machine Learning</a>." <em>Proceedings of the 37th International Conference on Machine Learning (ICML 2020)</em>.</p> <p>Bibtex entry</p> <pre><code>@incollection{icml2020_3152, author = {Hsieh, Kevin and Phanishayee, Amar and Mutlu, Onur and Gibbons, Phillip}, booktitle = {International Conference on Machine Learning ({ICML})}, pages = {5819--5830}, title = {The Non-{IID} Data Quagmire of Decentralized Machine Learning}, year = {2020} }</code></pre> <p> </p>
Data from: The legacy of past human land use in current patterns of mammal distribution
Multiple environmental factors are known to shape species distributions at the global scale, including climate and topography, but understanding current extents of occurrence and biodiversity patterns requires considering anthropogenic factors as well. Numerous studies have explored the relationship between contemporary human activities and different biodiversity metrics, but the influence of past activities, such as land-use, remains poorly understood despite being one of the oldest human impacts. Here we evaluate the role of past land-use modifications in the current distribution and conservation status of mammals worldwide using spatial data characterizing human land use from c.B.C.6000 to c.A.D.2000. First, we applied a clustering method that revealed three generalized past human land-use trajectories that represent low-, recently- and steadily-used areas widely represented across the globe. Second, we fitted boosted regression trees to predict total and threatened mammalian richness, globally and within trajectory-clusters, testing the role of environmental factors and multiple human land-use metrics reflecting: total used area at different time spans, rates of land-use change, and the occurrence of remarkable land-use shifts. Environmental factors were identified as the main correlates of current mammalian richness, but several proposed metrics of past land-use were also relevant predictors. Overall, these results highlight the likely existence of a land-use legacy in some regions of the world that has influenced the distribution of extant mammals, particularly of those currently classified as threatened. Even if we cannot change that legacy, our results show that we need to account for past human impacts to understand present biodiversity patterns and, arguably, to guide future actions.
Geographic range maps for Mammal Diversity Database v1.2 taxonomy from "Expert range maps of global mammal distributions harmonised to three taxonomic authorities"
<p>Data mirroring for long-term integrity of these critical geospatial resources. Included here are expert geographic range maps aligned to the taxonomy of the Mammal Diversity Database (MDD) version 1.2, which was published on 24 Sept 2020 https://zenodo.org/record/4139818. That taxonomy includes 6,485 total species, of which 103 are considered recently extinct, 20 are considered domestic extant, and 6,362 are considered wild extant (this corrects for 1 species, <em>Capra hircus</em>, that was incorrectly coded as 'domestic=0' rather than 'domestic=1' in the MDD v1.2). For this mapping project, only 6,362 species from MDD v1.2 have maps -- this total:</p> <ul> <li>excludes all extinct and domestic species;</li> <li>excludes 2 species for which no spatial information was available (<em>Nycticeius aenobarbus</em> and <em>Phoniscus aerosus</em>); and</li> <li>includes 2 species<em> </em>(<em>Elaphurus davidianus</em> and <em>Oryx dammah</em>) that are extinct in the wild (EW) in IUCN, have recent range information and were included in the MDD as extant.</li> </ul> <p><strong>### File inventory ###</strong></p> <ul> <li>Order-level zipped files (27 total), one for each extant order of mammals, unzips to geopackage (*.gpg) format;</li> <li>Mammalia-wide zipped file (1: "MDD_Mammalia.zip"), includes maps for all 27 orders, unzips to gpg format;</li> <li>Full taxonomy for MDD v1.2 (as published on https://zenodo.org/record/4139818) in csv format ("MDD_v1.2_all_6485species.csv"); and</li> <li>Subset of MDD v1.2 taxonomy for which range maps are here provided (6,362 species) in csv format ("mdd_spList_wFamilieswOrders_mapped_6362species.csv").</li> </ul> <p><br> <strong>### Full citation ###</strong></p> <p>Marsh, C.J., Sica, Y.V., Burgin, C.J., Dorman, W.A., Anderson, R.C., del Toro Mijares, I., Vigneron, J.G., Barve, V., Dombrowik, V.L., Duong, M., Guralnick, R., Hart, J.A., Maypole, J.K., McCall, K., Ranipeta, A., Schuerkmann, A., Torselli, M.A., Lacher Jr, T., Mittermeier, R.A., Rylands, A.B., Sechrest, W., Wilson, D.E., Abba, A.M., Aguirre, L.F., Arroyo-Cabrales, J., Astúa, D., Baker, A.M., Braulik, G., Braun, J.K., Brito, J., Busher, P.E., Burneo, S.F., Camacho, M.A., Cavallini, P., de Almeida Chiquito, E., Cook, J.A., Cserkész, T., Csorba, G., Cuéllar Soto, E., da Cunha Tavares, V., Davenport, T.R.B., Deméré, T., Denys, C., Dickman, C.R., Eldridge, M.D.B., Fernandez-Duque, E., Francis, C.M., Frankham, G., Franklin, W.L., Freitas, T., Friend, J.A., Gadsby, E.L., Garbino, G.S.T., Gaubert, P., Giannini, N., Giarla, T., Gilchrist, J.S., Gongora, J., Goodman, S.M., Gursky-Doyen, S., Hackländer, K., Hafner, M.S., Hawkins, M., Helgen, K.M., Heritage, S., Hinckley, A., Hintsche, S., Holden, M., Holekamp, K.E., Honeycutt, R.L., Huffman, B.A., Humle, T., Hutterer, R., Ibáñez Ulargui, C., Jackson, S.M., Janecka, J., Janecka, M., Jenkins, P., Juškaitis, R., Juste, J., Kays, R., Kilpatrick, C.W., Kingston, T., Koprowski, J.L., Kryštufek, B., Lavery, T., Lee Jr, T.E., Leite, Y.L.R., Novaes, R.L.M., Lim, B.K., Lissovsky, A., López-Antoñanzas, R., López-Baucells, A., MacLeod, C.D., Maisels, F.G., Mares, M.A., Marsh, H., Mattioli, S., Meijaard, E., Monadjem, A., Morton, F.B., Musser, G., Nadler, T., Norris, R.W., Ojeda, A., Ordóñez-Garza, N., Pardiñas, U.F.J., Patterson, B.D., Pavan, A., Pennay, M., Pereira, C., Prado, J., Queiroz, H.L., Richardson, M., Riley, E.P., Rossiter, S.J., Rubenstein, D.I., Ruelas, D., Salazar-Bravo, J., Schai-Braun, S., Schank, C.J., Schwitzer, C., Sheeran, L.K., Shekelle, M., Shenbrot, G., Soisook, P., Solari, S., Southgate, R., Superina, M., Taber, A.B., Talebi, M., Taylor, P., Vu Dinh, T., Ting, N., Tirira, D.G., Tsang, S., Turvey, S.T., Valdez, R., Van Cakenberghe, V., Veron, G., Wallis, J., Wells, R., Whittaker, D., Williamson, E.A., Wittemyer, G., Woinarski, J., Zinner, D., Upham, N.S., Jetz, W., 2022. Expert range maps of global mammal distributions harmonised to three taxonomic authorities. Journal of Biogeography 49 (5): 979-992. <a href="https://doi.org/10.1111/jbi.14330">https://doi.org/10.1111/jbi.14330</a><br> </p> <p><strong>###</strong><strong> Data downloads on Map of Life ###</strong></p> <p>All range maps for the three taxonomic sources are openly available for non-commercial use through https://mol.org/datasets or at species-level at https://mol.org/species, or for bulk download at https://doi.org/10.48600/mol-7r3j-8066 (HMW), https://doi.org/10.48600/mol-zzrs-q778 (CMW) and https://doi.org/10.48600/mol-48vz-p413 (MDD).</p> <p> </p> <p><strong>###</strong><strong> Abstract ###</strong></p> <p><strong>Aim: </strong> Comprehensive, global information on species' occurrences is an essential biodiversity variable and central to a range of applications in ecology, evolution, biogeography and conservation. Expert range maps often represent a species' only available distributional information and play an increasing role in conservation assessments and macroecology. We provide global range maps for the native ranges of all extant mammal species harmonised to the taxonomy of the Mammal Diversity Database (MDD) mobilised from two sources, the <em>Handbook of the Mammals of the World</em> (HMW) and the <em>Illustrated Checklist of the Mammals of the World</em> (CMW).</p> <p><strong>Location: </strong> Global.</p> <p><strong>Taxon: </strong> All extant mammal species.</p> <p><strong>Methods: </strong> Range maps were digitally interpreted, georeferenced, error-checked and subsequently taxonomically aligned between the HMW (6253 species), the CMW (6431 species) and the MDD taxonomies (6362 species).</p> <p><strong>Results: </strong> Range maps can be evaluated and visualised in an online map browser at Map of Life (mol.org) and accessed for individual or batch download for non-commercial use.</p> <p><strong>Main conclusion: </strong> Expert maps of species' global distributions are limited in their spatial detail and temporal specificity, but form a useful basis for broad-scale characterizations and model-based integration with other data. We provide georeferenced range maps for the native ranges of all extant mammal species as shapefiles, with species-level metadata and source information packaged together in geodatabase format. Across the three taxonomic sources our maps entail, there are 1784 taxonomic name differences compared to the maps currently available on the IUCN Red List website. The expert maps provided here are harmonised to the MDD taxonomic authority and linked to a community of online tools that will enable transparent future updates and version control.</p> <p><strong>Keywords: </strong> GIS; Mammalia; biodiversity; biogeography; conservation planning; mapping; species distributions.</p>
Supplementary material 3 from: Bego F, Saçdanaku E, Pacifici M, Rondinini C (2018) Small terrestrial mammals of Albania: distribution and diversity (Mammalia, Eulipotyphla, Rodentia). ZooKeys 742: 127-163. https://doi.org/10.3897/zookeys.742.22364
: Data type: occurence
Supplementary material 1 from: Bego F, Saçdanaku E, Pacifici M, Rondinini C (2018) Small terrestrial mammals of Albania: distribution and diversity (Mammalia, Eulipotyphla, Rodentia). ZooKeys 742: 127-163. https://doi.org/10.3897/zookeys.742.22364
Updated check-list of small terrestrial mammals of Albania (2017) :
Figure 5 from: Bego F, Saçdanaku E, Pacifici M, Rondinini C (2018) Small terrestrial mammals of Albania: distribution and diversity (Mammalia, Eulipotyphla, Rodentia). ZooKeys 742: 127-163. https://doi.org/10.3897/zookeys.742.22364
Figure 5 View over the site (A) where the two new species of red-toothed shrews [Sorex araneus (B) and S. minutus (C)] were recorded. Novosejë, Korab-Koritnik (July 2016).
Figure 2 from: Bego F, Saçdanaku E, Pacifici M, Rondinini C (2018) Small terrestrial mammals of Albania: distribution and diversity (Mammalia, Eulipotyphla, Rodentia). ZooKeys 742: 127-163. https://doi.org/10.3897/zookeys.742.22364
Figure 2 Map of the sources of occurrence records for small terrestrial mammals of Albania (10 × 10 km grid cells).
Figure 4 from: Bego F, Saçdanaku E, Pacifici M, Rondinini C (2018) Small terrestrial mammals of Albania: distribution and diversity (Mammalia, Eulipotyphla, Rodentia). ZooKeys 742: 127-163. https://doi.org/10.3897/zookeys.742.22364
Figure 4 Altitudinal distribution of STM species and frequency of occurrence records by altitude in Albania.
Figure 1 from: Bego F, Saçdanaku E, Pacifici M, Rondinini C (2018) Small terrestrial mammals of Albania: distribution and diversity (Mammalia, Eulipotyphla, Rodentia). ZooKeys 742: 127-163. https://doi.org/10.3897/zookeys.742.22364
Figure 1 Map of priority Protected Areas of Albania sampled for small mammals: 1 Korab-Koritnik [Novosejë-1, ca. 1400 m a.s.l., Novosejë-2 (Balaj), ca. 1300 m a.s.l.,; Novosejë-3 ca.1350 m a.s.l., Rabdisht (Korab), 1200 m a.s.l, Sllatinë, 1750 m a.s.l.] 2 Tomorr [Ujanik (1440–1500 m a.s.l.) and Peshtan (143 m a.s.l.)] 3 Bredhi i Hotovës [close to Rangers' Hut (1250 m a.s.l.) and Bënja thermal water springs (368 m a.s.l.)] 4 Divjakë-Karavasta [Divjaka Pine forest (0–2 m a.s.l.), Shën Thanasi monastery (3 m a.s.l.), Shën Kolli monastery (10 m a.s.l.) and Vajkan (10 m a.s.l.)] 5 Liqeni i Shkodrës (lake Skadar) [Breg Liqen (12 m a.s.l.) and Kamice (14 m a.s.l.)] 6 Llogara-Karaburun [Llogara (950 m a.s.l.), Cave of Duk Gjonit (Karaburun, 30 m a.s.l.), and (Dukat, 350 m)] 7 Lëpushë-Vermosh [Lëpushë (1300–1400 m a.s.l.) and Lëpusha stream (ca. 1250 m)] 8 Butrint (Butrint ancient city and lake Bufi, 0-3 m a.s.l.) 9 Pashtrik [Krumë (527 m a.s.l.), Pashtrik (Çaban, ca. 1200 m a.s.l.), and Tej Drinit të Bardhë (ca.1250 m a.s.l.)]
Figure 3 from: Bego F, Saçdanaku E, Pacifici M, Rondinini C (2018) Small terrestrial mammals of Albania: distribution and diversity (Mammalia, Eulipotyphla, Rodentia). ZooKeys 742: 127-163. https://doi.org/10.3897/zookeys.742.22364
Figure 3 Pictures from the main habitats where searching conducted: 1 Korab-Koritnik, grassland and mixed forest of Betula pendula and Abies alba 2 Tomorr, open terrain surrounded by mixed forest and Fagus sylvatica and Pinus leucodermis 3 Bredhi i Hotovës, grassland and mixed forest of Abies borisi-regis and Quercus sp. div. 4 Divjakë-Karavasta, Shën Kolli monastery, where owl pellets were collected (hedges, arable land and woodland in proximity) 5 Llogara, open terrains and mixed forest dominated by Abies borisi-regis and Carpinus orientalis on limestone rocks 6 Lëpushë, grassland and open terrains surrounded by beech forest (Fagus sylvatica).
Figure 6 from: Bego F, Saçdanaku E, Pacifici M, Rondinini C (2018) Small terrestrial mammals of Albania: distribution and diversity (Mammalia, Eulipotyphla, Rodentia). ZooKeys 742: 127-163. https://doi.org/10.3897/zookeys.742.22364
Figure 6 Pictures of Myocastor coypus from Butrint National park: A Adult and subadult at the bank side of a small pool inside the ancient town of Butrint B Two other individuals swimming in the same pool C View of the southern edge of Bufi lake where an adult of coypu swimming at shallow water swamp, adjacent to south edge of Bufi lake was observed (D).
FIGURE 22 in Mammals of Korea: a review of their taxonomy, distribution and conservation status
FIGURE 22. Blood vessel on uropatigium of M. ikonnikovi and M. brandtii.
FIGURE 5 in A review of the biological diversity and distribution of small mammal taxa in the terrestrial ecoregions and protected areas of Nepal 3072
FIGURE 5. Dorsal (d) and ventral (v) views of the skin of MCZ 32977 (Myotis sp.).
FIGURE 2 in A review of the biological diversity and distribution of small mammal taxa in the terrestrial ecoregions and protected areas of Nepal 3072
FIGURE 2. The geopolitical position of Nepal in 1816.
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.