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191 results for “Otter”
Data from: River otter predation of nesting seabirds along the coasts of North America
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Data for: Modelling the surprising recolonisation of an understudied aquatic mammal in a highly urbanised area: Fortune favored the Smooth-coated otter in Singapore
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Data from: Measures of effective population size in sea otters reveal special considerations for wide-ranging species
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Data from: Evaluating otter reintroduction outcomes using genetic spatial capture-recapture modified for dendritic networks
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Data from: Lactation and resource limitation affect stress responses, thyroid hormones, immune function and antioxidant capacity of sea otters (Enhydra lutris)
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Microplastics in Eurasian otter (Lutra lutra) spraints and their potential as a biomonitoring tool in freshwater systems
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Data from: Impact of population expansion on genetic diversity and structure of river otters (Lontra canadensis) in central North America
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The drivers and functions of rock juggling in otters
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Learning strategies and long-term memory in Asian short-clawed otters (Aonyx cinereus) data
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Reductions in the dietary niche of southern sea otters (Enhydra lutris nereis) from the Holocene to the Anthropocene.
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Data from: Distinctive increase in offspring size in sea otters: evolutionary changes in and beyond the trade-off against offspring number
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Sea otter sequence capture project data files
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Investigating the Distribution and Occupancy of Otter Species across Human-modified Landscapes in Sabah, Malaysia.
<b>Description: </b><p>A study on the occupancy of otters in streams across land-use gradient, within four habitat treatments: logged forest (LF), heavily degraded forest (HDF), riparian reserves within oil palm plantation (RR), and oil palm plantation (ROP).</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/171"><b>Investigating the Occupancy & Habitat Use of Tropical Otters Across Human Modified Landscapes in SAFE Project, Kalabakan, Sabah.</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>Universiti Malaysia Sabah (Studentship)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>Permits: </b>These data were collected under permit from the following authorities:</p><ul><li>Sabah Biodiversity Council (Research licence 2016/56)</li></ul><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3897377">here</a></p><p><b>Files: </b>This consists of 1 file: Otter_Data_Annabel_Pianzin.xlsx</p><p><b>Otter_Data_Annabel_Pianzin.xlsx</b></p><p>This file contains dataset metadata and 3 data tables:</p><ol><li><p><b>Otter occupancy</b> (described in worksheet Otter_Occupancy)</p><p>Description: Otter occupancy</p><p>Number of fields: 12</p><p>Number of data rows: 36</p><p>Fields: </p><ul><li><b>site</b>: Location within the SAFE landscape (Field type: location)</li><li><b>subtransect_ID</b>: Point ID (Field type: id)</li><li><b>treatment</b>: Habitat type (Field type: categorical)</li><li><b>oc1</b>: Presence absence of otter (Field type: abundance)</li><li><b>oc2</b>: Presence absence of otter (Field type: abundance)</li><li><b>oc3</b>: Presence absence of otter (Field type: abundance)</li><li><b>oc4</b>: Presence absence of otter (Field type: abundance)</li><li><b>spraint</b>: Visual observation of spraint (Field type: abundance)</li><li><b>footprint</b>: Visual observation of otter footprint (Field type: abundance)</li><li><b>taxa</b>: Species detected at the site (Field type: taxa)</li><li><b>A.cinereus</b>: Presence absence of otter (Field type: abundance)</li><li><b>L.perspicillata</b>: Presence absence of otter (Field type: abundance)</li></ul></li><li><p><b>Occupancy Survey Date</b> (described in worksheet Occupancy_Survey_Date)</p><p>Description: Occupancy_Survey_Date</p><p>Number of fields: 7</p><p>Number of data rows: 36</p><p>Fields: </p><ul><li><b>site</b>: Location within the SAFE landscape (Field type: location)</li><li><b>subtransect_ID</b>: Point ID (Field type: id)</li><li><b>treatment</b>: Habitat type (Field type: categorical)</li><li><b>oc1_date</b>: Date of survey (Field type: date)</li><li><b>oc2_date</b>: Date of survey (Field type: date)</li><li><b>oc3_date</b>: Date of survey (Field type: date)</li><li><b>oc4_date</b>: Date of survey (Field type: date)</li></ul></li><li><p><b>Habitat covariates</b> (described in worksheet Habitat_Covariates)</p><p>Description: Habitat covariates</p><p>Number of fields: 20</p><p>Number of data rows: 36</p><p>Fields: </p><ul><li><b>site</b>: Location within the SAFE landscape (Field type: location)</li><li><b>point_ID</b>: Point ID (Field type: id)</li><li><b>treatment</b>: Habitat type (Field type: categorical)</li><li><b>width</b>: Stream width (Field type: numeric)</li><li><b>depth</b>: Stream depth (Field type: numeric)</li><li><b>altitude</b>: Altitude of site (Field type: numeric)</li><li><b>stmedge</b>: Width of stream edge (Field type: numeric)</li><li><b>canco</b>: Stream canopy cover (Field type: numeric)</li><li><b>ugro</b>: Undergrowth cover (Field type: numeric)</li><li><b>bankco</b>: Bank canopy cover (Field type: numeric)</li><li><b>bk.rock</b>: Bank rock cover (Field type: numeric)</li><li><b>bk.soil</b>: Bank soil cover (Field type: numeric)</li><li><b>bk.both</b>: Bank soil and rock cover (Field type: numeric)</li><li><b>no.tree</b>: Number of trees (Field type: numeric)</li><li><b>no.log</b>: Number of logs (Field type: numeric)</li><li><b>fquality</b>: Forest quality (Field type: numeric)</li><li><b>bankheight</b>: Bank height (Field type: numeric)</li><li><b>bankdbh</b>: Bank diatmeter at breast height (Field type: numeric)</li><li><b>human</b>: Distance from human settlements (Field type: numeric)</li><li><b>estate</b>: Distance from oil palm estate (Field type: numeric)</li></ul></li></ol><p><b>Date range: </b>2017-02-22 to 2019-06-03</p><p><b>Latitudinal extent: </b>4.5000 to 5.0700</p><p><b>Longitudinal extent: </b>116.7500 to 117.8200</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Animalia <br> -  -  Chordata <br> -  -  -  Mammalia <br> -  -  -  -  Carnivora <br> -  -  -  -  -  Mustelidae <br> -  -  -  -  -  -  <i>Lutrogale</i> <br> -  -  -  -  -  -  -  <i>Lutrogale perspicillata</i> <br> -  -  -  -  -  -  <i>Aonyx</i> <br> -  -  -  -  -  -  -  <i>Aonyx cinereus</i> <br></div><p></p>
Supplementary material 9 from: Harper L, Watson H, Donnelly R, Hampshire R, Sayer C, Breithaupt T, Hänfling B (2020) Using DNA metabarcoding to investigate diet and niche partitioning in the native European otter (Lutra lutra) and invasive American mink (Neovison vison). Metabarcoding and Metagenomics 4: e56087. https://doi.org/10.3897/mbmg.4.56087
Figure S3
Supplementary material 10 from: Harper L, Watson H, Donnelly R, Hampshire R, Sayer C, Breithaupt T, Hänfling B (2020) Using DNA metabarcoding to investigate diet and niche partitioning in the native European otter (Lutra lutra) and invasive American mink (Neovison vison). Metabarcoding and Metagenomics 4: e56087. https://doi.org/10.3897/mbmg.4.56087
Figure S4
Supplementary material 11 from: Harper L, Watson H, Donnelly R, Hampshire R, Sayer C, Breithaupt T, Hänfling B (2020) Using DNA metabarcoding to investigate diet and niche partitioning in the native European otter (Lutra lutra) and invasive American mink (Neovison vison). Metabarcoding and Metagenomics 4: e56087. https://doi.org/10.3897/mbmg.4.56087
Figure S5
Supplementary material 8 from: Harper L, Watson H, Donnelly R, Hampshire R, Sayer C, Breithaupt T, Hänfling B (2020) Using DNA metabarcoding to investigate diet and niche partitioning in the native European otter (Lutra lutra) and invasive American mink (Neovison vison). Metabarcoding and Metagenomics 4: e56087. https://doi.org/10.3897/mbmg.4.56087
Figure S2
Supplementary material 12 from: Harper L, Watson H, Donnelly R, Hampshire R, Sayer C, Breithaupt T, Hänfling B (2020) Using DNA metabarcoding to investigate diet and niche partitioning in the native European otter (Lutra lutra) and invasive American mink (Neovison vison). Metabarcoding and Metagenomics 4: e56087. https://doi.org/10.3897/mbmg.4.56087
Figure S6
Supplementary material 7 from: Harper L, Watson H, Donnelly R, Hampshire R, Sayer C, Breithaupt T, Hänfling B (2020) Using DNA metabarcoding to investigate diet and niche partitioning in the native European otter (Lutra lutra) and invasive American mink (Neovison vison). Metabarcoding and Metagenomics 4: e56087. https://doi.org/10.3897/mbmg.4.56087
Figure S1
Supplementary material 3 from: Harper L, Watson H, Donnelly R, Hampshire R, Sayer C, Breithaupt T, Hänfling B (2020) Using DNA metabarcoding to investigate diet and niche partitioning in the native European otter (Lutra lutra) and invasive American mink (Neovison vison). Metabarcoding and Metagenomics 4: e56087. https://doi.org/10.3897/mbmg.4.56087
Appendix 3: Predator assignment
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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
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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.