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FIG. 77 in A checklist of bats (Mammalia: Chiroptera) from Lao PDR
FIG. 77. Distribution of Murina eleryi
FIG. 83 in A checklist of bats (Mammalia: Chiroptera) from Lao PDR
FIG. 83. Distribution of Kerivoula hardwickii
FIG. 80 in A checklist of bats (Mammalia: Chiroptera) from Lao PDR
FIG. 80. Distribution of Harpiocephalus harpia
FIG. 59 in A checklist of bats (Mammalia: Chiroptera) from Lao PDR
FIG. 59. Distribution of Glischropus bucephalus
FIG. 64 in A checklist of bats (Mammalia: Chiroptera) from Lao PDR
FIG. 64. Distribution of Ia io
FIG. 67 in A checklist of bats (Mammalia: Chiroptera) from Lao PDR
FIG. 67. Distribution of Scotomanes ornatus
FIG. 31 in A checklist of bats (Mammalia: Chiroptera) from Lao PDR
FIG. 31. Distribution of Rhinolophus pearsonii
FIG. 28 in A checklist of bats (Mammalia: Chiroptera) from Lao PDR
FIG. 28. Distribution of Rhinolophus malayanus
FIG. 27 in A checklist of bats (Mammalia: Chiroptera) from Lao PDR
FIG. 27. Distribution of Rhinolophus microglobosus
FIG. 25 in A checklist of bats (Mammalia: Chiroptera) from Lao PDR
FIG. 25. Distribution of Rhinolophus lepidus
FIG. 22 in A checklist of bats (Mammalia: Chiroptera) from Lao PDR
FIG. 22. Distribution of Rhinolophus shameli
FIG. 38 in A checklist of bats (Mammalia: Chiroptera) from Lao PDR
FIG. 38. Distribution of Hipposideros diadema
FIG. 23 in A checklist of bats (Mammalia: Chiroptera) from Lao PDR
FIG. 23. Distribution of Rhinolophus acuminatus
FIG. 50 in A checklist of bats (Mammalia: Chiroptera) from Lao PDR
FIG. 50. Distribution of Myotis siligorensis
FIG. 45 in A checklist of bats (Mammalia: Chiroptera) from Lao PDR
FIG. 45. Distribution of Myotis cf. montivagus
FIG. 10 in A checklist of bats (Mammalia: Chiroptera) from Lao PDR
FIG. 10. Distribution of Macroglossus sobrinus
Bat activity in riparian reserves in forest and oil palm plantations
<b>Description: </b><p>Number of bat calls recorded by an Echometer-3 recorder during 10-minute point counts. Counts are classified within 5 acoustic call types, and several Rhinolophoid species where possible.</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/12"><b>Investigating the importance of riparian reserves for insectivorous bat species in oil palm and forest estates in Sabah, Malaysia</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>UK Natural Environment Research Council (NERC) (Human Modified Tropical Forests programme & a PhD scholarship jointly funded by University of Kent & NERC & EnvEast DTP scholarship, NE/K016407/1 & NE/L002582/1)</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 JKM/MBS.1000-2/2(374))</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=3971012">here</a></p><p><b>Files: </b>This consists of 1 file: SAFE_data_archive_Bat_Riparian_Acoustic_Struebig_Mullin_Yoh_v2_0308202.xlsx</p><p><b>SAFE_data_archive_Bat_Riparian_Acoustic_Struebig_Mullin_Yoh_v2_0308202.xlsx</b></p><p>This file contains dataset metadata and 1 data tables:</p><ol><li><p><b>All data </b> (described in worksheet MasterData)</p><p>Description: All bat passes and their metadata inc frequencies & species identification for a subset of recordings when possible</p><p>Number of fields: 19</p><p>Number of data rows: 5696</p><p>Fields: </p><ul><li><b>Location</b>: where data was collected (Field type: location)</li><li><b>Type</b>: Habitat type (Field type: categorical)</li><li><b>Visit</b>: Visit number (Field type: numeric)</li><li><b>Date</b>: Date surveyed (Field type: date)</li><li><b>Sunset</b>: Sun set time (Field type: time)</li><li><b>Time</b>: Time data collected (Field type: time)</li><li><b>Mins_after_sunset</b>: Minutes after sunset (Field type: numeric)</li><li><b>Call_type</b>: Taxa (Field type: categorical)</li><li><b>Species_ID</b>: Species ID (Field type: taxa)</li><li><b>Buzz</b>: Presence of feeding buzz (Field type: numeric)</li><li><b>Av_High_freq</b>: Bat frequency (Field type: numeric)</li><li><b>Av_Low_freq</b>: Bat frequency (Field type: numeric)</li><li><b>Average_of_CallDuration</b>: Bat frequency (Field type: numeric)</li><li><b>Rip_res_width</b>: Riparian reserve width (Field type: numeric)</li><li><b>Canopy_gap</b>: Canopy gap within 50m radius buffer (Field type: numeric)</li><li><b>Avg_CH_50mR</b>: Average canopy height within 50m radius buffer (Field type: numeric)</li><li><b>Avg_Biomass_50mR</b>: Average biomass within 50m radius buffer (Field type: numeric)</li><li><b>Prop_Fcover_1km</b>: Proportion forest cover within 1km buffer (Field type: numeric)</li><li><b>Avg_Rug_50mR</b>: Average ruggedness within 50m radius buffer (Field type: numeric)</li></ul></li></ol><p><b>Date range: </b>2014-04-28 to 2018-11-15</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> -  -  -  -  Chiroptera <br> -  -  -  -  -  [BBFM1] <br> -  -  -  -  -  [BBFM2] <br> -  -  -  -  -  [BBFM3] <br> -  -  -  -  -  [BBFM4] <br> -  -  -  -  -  [BBFM5] <br> -  -  -  -  -  [BBFM6] <br> -  -  -  -  -  Hipposideridae <br> -  -  -  -  -  -  <i>Hipposideros</i> <br> -  -  -  -  -  -  -  <i>Hipposideros cervinus</i> <br> -  -  -  -  -  -  -  <i>Hipposideros galeritus</i> <br> -  -  -  -  -  -  -  <i>Hipposideros ridleyi</i> <br> -  -  -  -  -  Rhinolophidae <br> -  -  -  -  -  -  <i>Rhinolophus</i> <br> -  -  -  -  -  -  -  <i>Rhinolophus acuminatus</i> <br> -  -  -  -  -  -  -  <i>Rhinolophus borneensis</i> <br> -  -  -  -  -  -  -  <i>Rhinolophus sedulus</i> <br> -  -  -  -  -  -  -  <i>Rhinolophus trifoliatus</i> <br></div><p></p>
Movement paths of common noctule bats in the Berlin metropolitan area
<p> </p> <p>Cities are a challenging habitat for obligate nocturnal mammals because of the ubiquitous use of artificial light at night (ALAN). How nocturnal animals move in an urban landscape, particularly in response to ALAN is largely unknown. We studied the movement responses, foraging and commuting, of common noctules (<i>Nyctalus noctula</i>) to urban landscape features in general and ALAN in particular. We equipped 20 bats with miniaturized GPS loggers in the Berlin metropolitan area and related spatial positions of bats to anthropogenic and natural landscape features and levels of ALAN. Common noctules foraged close to ALAN only next to bodies of water or well vegetated areas, probably to exploit swarms of insects lured by street lights. In contrast, they avoided illuminated roads, irrespective of vegetation cover nearby. Predictive maps identified most of the metropolitan area as non-favoured by this species because of high levels of impervious surfaces and ALAN. Dark corridors were used by common noctules for commuting and thus likely improved the permeability of the city landscape. We conclude that the spatial use of common noctules, previously considered to be more tolerant to light than other bats, is largely constrained by ALAN. Our study is the first individual-based GPS tracking study to show sensitive responses of nocturnal wildlife to light pollution. Approaches to protect urban biodiversity need to include ALAN to safeguard the larger network of dark habitats for bats and other nocturnal species in cities.</p>
Rat BAT Xenotransplantation Recovers the Fertility and Metabolic Health of PCOS Mice
<p><strong>Supplementary dataset 1</strong></p> <p>This file contains datasets for all 230 overlapped DEGs (Fig. 6A and B) among RTM, MTM, and control group compared with the PCOS group in F0 model mice. It has two sheets: "F0 up-regulated DEGs" contained all DEGs that have significantly higher (|log2| > 1) expression levels in RTM, MTM, and control group than PCOS group; "F0 down-regulated DEGs" contained all DEGs that have significantly lower (|log2| > 1) expression level in RTM, MTM, and control group than PCOS group. For each gene, both FPKM of each repeat and the average FPKM of three repeats are shown.</p> <p><strong>Supplementary dataset 2</strong></p> <p>This file, corresponding to Fig. 7, contains 4 sheets of datasets for all DEGs that overlapped between human PCOS studies and corrent study. From left to right, in sheet 1, the datasets from column A-AB are for the DEGs in current study; the datasets from column AD-BL are for the DEGs in Lan et al (36). In sheet 2, the datasets from column A-AA are for the DEGs in our study; the datasets from column AC-AI are for the DEGs in Wissing et al (37). In sheet 3, the datasets from column A-AB are for the DEGs in our study; the datasets from column AD-AL are for the DEGs in Lu et al (38). In sheet 4, the datasets from column A-AB are for the DEGs in our study; the datasets from column AD-AG are for the DEGs in Kaur et al (39). For a clear distinguishment between our data and the reference data, column AC in sheet 1, column AB in sheet 2, column AC in sheet 3, and column AC in sheet 4 are left blank and highlighted in green; Two columns with title "symbol" and red typed in each sheet list all overlapping DEGs between our data and reference data.</p> <p><strong>Supplementary dataset </strong><strong>3</strong></p> <p>This file contains 4 sheets. Each sheet includes KEGG information for the DEGs that overlapped between human PCOS studies and current study.</p> <p><strong>Supplementary dataset </strong><strong>4</strong></p> <p>This dataset contains all 126 overlapped DEGs (Supplementary Fig. 6A and B) among RTM, MTM, and control group compared with the PCOS group in F1 model mice. It has two sheets: "F1 up-regulated DEGs" contained all DEGs that have significantly higher (|log2| > 1) expression level in RTM, MTM, and control group than in PCOS group; "F1 down-regulated DEGs" contained all DEGs that have significantly lower (|log2| > 1) expression level in RTM, MTM, and control group than in PCOS group. For each gene, both FPKM of each repeat and the average FPKM of three repeats are shown.</p>
Data (D2H values) from: Generational shift in the migratory common noctule bat: first-year males lead the way to hibernacula at higher latitudes
<p>Supplementary_Table_3_D2H values noctules_Kravchenko et al</p> <p>The dataset contains stable hydrogen values (D2H) (column "sample_value") in fur keratin of 413 common noctule bats (Nyctalus noctula) from Kharkiv (Ukraine). Samples were collected in winter colonies over 12 years (2004-2015). Each row is one individual. Column "sample_ID" is an ID of an individual. Columns "lat" and "long" are coordinates of Kharkiv city (sampling site). Column "sex" is sex of individuals. Column "age1" shows the age of individuals: ad - adult individuals, sad -subadult individuals (younger than one year). Column "Status" assign origin status of individuals to either 0 - regional or 1 - migratory. Column "Year3" represents the year of sample collection in a format of time in the past from the first year of the collection (-11) till the last year of the collection (0). Column "Year" is the year of sample collection.</p>
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.