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Small mammals at forest-oil palm edges raw datasets
<b>Description: </b><p>This is the combined trapping data for the study of small mammals at forest-oil palm plantation edges carried out by P.M. Chapman in 2017, chiefly in the Stability of Altered Forest Ecosystems project landscape, near where Blocks A and C border the Benta Wawasan oil palm estate. Trapping was also carried out some 23km WSW at a second forest-plantation edge in the Selangan Batu Oil Palm estate. The study comprised two parts; a conventional grid trapping study (36 traps in a 9x4 arrangement) of small mammals straddling an edge from 46m into the forest to 138m into the plantation (with a plantation interior control site based in the OP2 sampling block); and a spool-and-line tracking experiment that was based on the forest portion of the same grids, but using separate trapping nights (with traps set at dusk and checked at c. 9PM) and six extra traps per grid. This is the combined raw data for both sections, including trapping locations, species IDs, PIT tag identifiers and biometrics for the first part of the project, and this data plus basic information on the spool-and-line tracking for the second part of the project.</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/164"><b>Forest small mammals in oil palm plantations: space use and habitat selection components of the spillover effect.</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=279">here</a></p><p><b>Files: </b>This consists of 1 file: Small_Mammal_Edge_data.xlsx</p><p><b>Small_Mammal_Edge_data.xlsx</b></p><p>This file contains dataset metadata and 2 data tables:</p><ol><li><p><b>Trapping data for the community distribution part of the project</b> (described in worksheet Community distribution data)</p><p>Description: This is the trapping data for the first part of the project which focussed on distribution of communities of native and invasive small mammals around the edge.</p><p>Number of fields: 25</p><p>Number of data rows: 239</p><p>Fields: </p><ul><li><b>Site</b>: Location of the trapping grid (corresponds to the Locations sheet) (Field type: Location)</li><li><b>Edge</b>: Identifier for the edge sampling area. "SAFE" is the edge at the SAFE project landscape, while "SEBA" is the second edge at the Selangan Batu oil plantation some 23km WSW. All spooled animals were captured at SAFE. (Field type: ID)</li><li><b>Date</b>: The calendar date of trapping (Field type: Date)</li><li><b>Occasion</b>: The trapping occasion (sites were trapped for three consecutive days) (Field type: ID)</li><li><b>Trap</b>: Trap ID. Traps 1-8 were in the forest portion of the grid, 9-12 were directly on the edge at 0m (counted as part of the forest half of the grid), while traps 13-36 were in the plantation portion of the grid. (Field type: ID)</li><li><b>Distance</b>: The distance of the trap line from the edge. Traps were in lines of four arranged parallel to the edge at 23m increments, with 0m being directly on the edge. Negative distances indicate forest trap lines while positive distances denote plantation trap lines. Lines in the plantation-interior control site are given NA. (Field type: Categorical)</li><li><b>Habitat</b>: Indicates the habitat. 0m (i.e. the edge itself) was treated throughout as part of the forest. (Field type: Categorical)</li><li><b>Species</b>: Species ID for the captured animal. All "target" small mammals receive an identifying code for brevity (see the Taxa sheet), (Field type: Taxa)</li><li><b>New/Recapture</b>: Indicates whether the individual is a new record or a recapture. NB: Biometric data (apart from weight) is not collected for recaptures for reasons of time and ethics (unnecessary anaesthesia). (Field type: Categorical)</li><li><b>PIT_Tag/ID</b>: Individual ID for the captured animal. This is usually a 10-digit numeric or alphanumeric string, the number of the fitted Passive Integrated Transponder (PIT) tag. All zeros in PIT strings are replaced with capital Os due to persistent problems with Excel irreversibly modifying particular string formats. Various other "generic" individual IDs have been applied (usually the species code followed by a unique number) where tagging was impractical or uneccessary but the animal was very unlikely to be caught again (usually the last day on a grid). NA is only given where the animal escaped (see "Escape") and could not be scanned to determine whether it was new or a recapture. (Field type: ID)</li><li><b>SpoolLine_ID</b>: Spool-and-line ID corresponding to the captured animal. Animals captured for the individual movement section of the study were not tagged (to avoid excess stress and injury) and instead were given unique IDs consisting of "SL" and a three-digit number. However they were scanned for existing tags (likely to be present if, for instance, trapping for the community distribution section of the study was immediately preceding). Any crossovers are recorded here. (Field type: ID)</li><li><b>Age</b>: Age of the individual captured. Uncertain ages are given with question marks. Completely unknown or unrecorded age are given as NA. (Field type: Categorical Trait)</li><li><b>Sex</b>: Sex of the individual captured. Uncertain sexes are given with question marks. Completely unknown or unrecorded sexes are given as NA. (Field type: Categorical Trait)</li><li><b>HF</b>: (Left) Hind foot measurement (Field type: Numeric Trait)</li><li><b>E</b>: (Left) Ear length measurement (only rats) (Field type: Numeric Trait)</li><li><b>AGD</b>: Ano-genital distance measurement (only rats) (Field type: Numeric Trait)</li><li><b>HB</b>: Head-body length measurement (only treeshrews, squirrels and some rat species where ID is uncertain) (Field type: Numeric Trait)</li><li><b>T</b>: Tail length measurement (only treeshrews, squirrels and some rat species where ID is uncertain) (Field type: Numeric Trait)</li><li><b>MZ</b>: Muzzle length measurement (only treeshrews) (Field type: Numeric Trait)</li><li><b>Gross_W</b>: Mass of the polythene weighing bag including animal (Field type: Numeric)</li><li><b>Bag_W</b>: Mass of the polythene weighing bag (Field type: Numeric)</li><li><b>Net_W</b>: Mass of the animal (Field type: Numeric Trait)</li><li><b>Dead</b>: Logical: Was the individual found dead, or euthanised in the course of processing? (Field type: Categorical)</li><li><b>Escape</b>: Logical: Did the individual escape before PIT tagging or scanning could determine whether it was new or a recapture? Animals which received an ID but subsequently escaped with incomplete biometrics are recorded in "Notes". (Field type: Categorical)</li><li><b>Notes</b>: Field notes on the animal captured. This column mostly includes explanations for missing biometric data, or expands on circumstances of deaths. (Field type: Comments)</li></ul></li><li><p><b>Trapping data for the individual movement part of the project</b> (described in worksheet Individual movement data)</p><p>Description: This is the trapping data for the second part of the project which focussed on movement behaviour of native small mammals captured on the forest side of the dge, with a particular focus on quanitfying rates of edge crossing.</p><p>Number of fields: 23</p><p>Number of data rows: 42</p><p>Fields: </p><ul><li><b>Site</b>: Location of the trapping grid (corresponds to the Locations sheet) (Field type: Location)</li><li><b>Edge</b>: Identifier for the edge sampling area. "SAFE" is the edge at the SAFE project landscape, while "SEBA" is the second edge at the Selangan Batu oil plantation some 23km WSW. All spooled animals were captured at SAFE. (Field type: ID)</li><li><b>Date</b>: The calendar date of trapping (Field type: Date)</li><li><b>Distance</b>: The distance that the animal was caught and released from the edge. Traps were either on the edge (0m) or at 11.5m increments into the forest from the edge. Negative numbering is retained to match that in the Community distribution data sheet (Field type: Categorical)</li><li><b>Species</b>: Species ID for the captured animal. All "target" small mammals receive an identifying code for brevity (see the Taxa sheet), (Field type: Taxa)</li><li><b>SpoolLine_ID</b>: Individual ID for the captured animal. All individuals in this part of the study were given a 5-digit alphanumeric starting "SL" and finishing with a unique number, regardless of whether they had been previously PIT-tagged in the Community distribution section of the study. (Field type: ID)</li><li><b>Age</b>: Age of the individual captured. Uncertain ages are given with question marks. Completely unknown or unrecorded age are given as NA. (Field type: Categorical Trait)</li><li><b>Sex</b>: Sex of the individual captured. Uncertain sexes are given with question marks. Completely unknown or unrecorded sexes are given as NA. (Field type: Categorical Trait)</li><li><b>HF</b>: (Left) Hind foot measurement (Field type: Numeric Trait)</li><li><b>E</b>: (Left) Ear length measurement (only rats) (Field type: Numeric Trait)</li><li><b>AGD</b>: Ano-genital distance measurement (only rats) (Field type: Numeric Trait)</li><li><b>Bag_W</b>: Mass of the polythene weighing bag (Field type: Numeric)</li><li><b>Gross_W</b>: Mass of the polythene weighing bag including animal (Field type: Numeric)</li><li><b>Net_W</b>: Mass of the animal (Field type: Numeric Trait)</li><li><b>Animal_Notes</b>: Original notes from the trapping itself, including extra measurements, any associated PIT tag number (see the Community distribution data sheet) and any omissions. (Field type: Comments)</li><li><b>Tracked_Date</b>: The date upon which the animal's track was followed. (Field type: Date)</li><li><b>Total_Distance_Tracked</b>: Total length of the tracked spool (Field type: Numeric)</li><li><b>Cross</b>: Logical: Did the tracked individual cross the edge? Individuals which were not tracked receive NA. (Field type: Categorical)</li><li><b>Approach</b>: Logical: Did the tracked individual approach the edge? We defined this as moving towards the edge from within the forest and remaining less than five metres from the edge for at least five metres travelled distance. Individuals which were not tracked receive NA. (Field type: Categorical)</li><li><b>Distance_Forest</b>: Total distance covered inside the forest. NB: for all but one of the animals we tracked, this is the same distance as "Total_Distance_Tracked" (Field type: Numeric)</li><li><b>Distance_Plantation</b>: Total distance covered inside the plantation. NB: for all but one of the animals we tracked, this is zero. (Field type: Numeric)</li><li><b>Tracking_Notes</b>: Original notes from the tracking itself, comprising a brief summary of the animal's apparent behaviour, or a record of why the spool wasn't tracked. (Field type: Comments)</li><li><b>Used</b>: Logical: Was the tracked path long enough to be "counted"? The criterion was: Tracked Path > 1.2*Distance from the edge. (Field type: Categorical)</li></ul></li></ol><p><b>Date range: </b>2017-02-01 to 2017-04-30</p><p><b>Latitudinal extent: </b>4.6326 to 4.7131</p><p><b>Longitudinal extent: </b>117.4350 to 117.6550</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> -  -  - Rodentia<br> -  -  -  - Muridae<br> -  -  -  -  - <i>Chrotomys</i><br> -  -  -  -  -  - <i>Chrotomys whiteheadi</i><br> -  -  -  -  - <i>Leopoldamys</i><br> -  -  -  -  -  - <i>Leopoldamys sabanus</i><br> -  -  -  -  - <i>Maxomys</i><br> -  -  -  -  -  - <i>Maxomys surifer</i><br> -  -  -  -  - <i>Niviventer</i><br> -  -  -  -  -  - <i>Niviventer cremoriventer</i><br> -  -  -  -  - <i>Rattus</i><br> -  -  -  -  -  - <i>Rattus exulans</i><br> -  -  -  -  -  - <i>Rattus rattus</i><br> -  -  -  - Sciuridae<br> -  -  -  -  - <i>Lariscus</i><br> -  -  -  -  -  - <i>Lariscus hosei</i><br> -  -  -  -  - <i>Sundasciurus</i><br> -  -  -  -  -  - <i>Sundasciurus hippurus</i><br> -  -  -  -  -  - <i>Sundasciurus lowii</i><br> -  -  - Scandentia<br> -  -  -  - Tupaiidae<br> -  -  -  -  - <i>Tupaia</i><br> -  -  -  -  -  - <i>Tupaia gracilis</i><br> -  -  -  -  -  - <i>Tupaia longipes</i><br> -  -  -  -  -  - <i>Tupaia tana</i><br></div><p></p>
Species richness, composition and microhabitat characteristics of non-volant terrestrial mammals in disturbed habitats
<b>Description: </b><p>A study on the small mammals communities was carried out in disturbed habitats aroundsabah, namely university malaysia sabah (ums), klias peat swamp forest reserve(klias), kawang forest reserve (kawang), kalabakan forest reserve (safe) and maliaubasin conservation area (maliau). the objectives were (1) to determine the speciesrichness and composition of non-volant small mammal communities in disturbedhabitats; (2) to characterize the microhabitat-use patterns of the non-volant smallmammal communities in disturbed habitats; and (3) to determine the microhabitatpreferences of the non-volant small mammal communities in disturbed habitats. the aimof this study was to investigate how the habitat disturbance affects the species richness,community compositions and microhabitat-use pattern of the small mammals. this studywas conducted from october 2014 to march 2015 with a total sampling effort of 540trap-nights. overall, 71 individuals representing 14 species were successfully caughtduring this study. the species richness peaked at safe, and then declined at the rest ofthe study sites. habitat variables analysis showed that all study sites were divided intothree distinctive groups in terms of habitat types. canonical discriminant functionanalysis were used to analyze the microhabitat preferences and use-pattern of smallmammals and results showed the preferences of small mammals towards shrub cover(rattus rattus and callosciurus notatus), litter cover (callosciurus prevostii and echinorexgymnurus) and herbs limber (tupaia gracilis). The locations of the traps have not been given longitute and latitute as there were set on animal trails approximately 20metres from one another. </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/150"><b>Species richness, composition and microhabitat characteristics of non-volant terrestrial mammals in disturbed habitats</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>Universiti Malaysia Sabah (Grant)</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 Biodiverstiy Council (Research licence NA)</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=3265704">here</a></p><p><b>Files: </b>This consists of 1 file: Veg_Volent_mammals.xlsx</p><p><b>Veg_Volent_mammals.xlsx</b></p><p>This file contains dataset metadata and 2 data tables:</p><ol><li><p><b>Vegetation cover</b> (described in worksheet Vegetation_cover)</p><p>Description: The estimated canopy cover and percentage of ground cover of traps across disturbed habitats</p><p>Number of fields: 19</p><p>Number of data rows: 180</p><p>Fields: </p><ul><li><b>Date</b>: Date the vegetation cover was collected (Field type: Date)</li><li><b>Location</b>: Where data was collected (Field type: Location)</li><li><b>Habitat_type</b>: Habitat type (Field type: Categorical)</li><li><b>Trap_station</b>: Transect and trap number (Field type: ID)</li><li><b>Canopy_cover</b>: Percentage of canopy cover (Field type: Numeric)</li><li><b>Canopy_height</b>: Canopy height (Field type: Numeric)</li><li><b>Herbs_Climber</b>: Any climbers seen on trees for example vines and lianas (Field type: Numeric)</li><li><b>Tree_GBH_>10CM</b>: Tree girth at breast height of 10 cm (Field type: Numeric)</li><li><b>Tree_GBH_>30CM</b>: Tree girth at breast height of 30 cm (Field type: Numeric)</li><li><b>Tree_GBH_>60CM</b>: Tree girth at breast height of 60 cm (Field type: Numeric)</li><li><b>Tree_GBH_>90CM</b>: Tree girth at breast height of 90 cm (Field type: Numeric)</li><li><b>Fallen_trees_bran</b>: Percentage cover (Field type: Numeric)</li><li><b>Bareground</b>: Percentage cover (Field type: Numeric)</li><li><b>Shrub</b>: Percentage cover (Field type: Numeric)</li><li><b>grass</b>: Percentage cover (Field type: Numeric)</li><li><b>Rock</b>: Percentage cover (Field type: Numeric)</li><li><b>Litter</b>: Percentage cover (Field type: Numeric)</li><li><b>Water</b>: Percentage cover (Field type: Numeric)</li><li><b>Twig</b>: Percentage cover (Field type: Numeric)</li></ul></li><li><p><b>Non volent mammal abundance</b> (described in worksheet Non_volent_mammals)</p><p>Description: The abundance of non-volant terrestrails mammals caught across disturbed habitats. Growth and sex measurements takens</p><p>Number of fields: 17</p><p>Number of data rows: 490</p><p>Fields: </p><ul><li><b>Date</b>: Date the vegetation cover was collected (Field type: Date)</li><li><b>Location</b>: Where data was collected (Field type: Location)</li><li><b>Transect</b>: Transect number (Field type: ID)</li><li><b>Habitat</b>: Habitat type (Field type: Categorical)</li><li><b>Trap_station</b>: Transect and trap number (Field type: ID)</li><li><b>Species</b>: Species of non volent mammals caught in trap (Field type: Taxa)</li><li><b>Weight</b>: Weight of caught non volent mammal (Field type: Numeric)</li><li><b>Ear</b>: Ear measurment of caught non volent mammal (Field type: Numeric)</li><li><b>Hind_leg</b>: Hind leg measurement of caught non-volent mammal (Field type: Numeric)</li><li><b>Head_body</b>: Head to body measurement of caught non volent mammal (Field type: Numeric)</li><li><b>Tail</b>: Tail length of caught non volent mammal (Field type: Numeric)</li><li><b>Sex</b>: Sex of caught non volent mammal (Field type: Categorical)</li><li><b>Sexual_activity</b>: Sexual maturity of caught non volent mammal (Field type: Categorical)</li><li><b>Age</b>: Age class of caught non volent mammal (Field type: Categorical)</li><li><b>Trap_condition</b>: Trap condition (Field type: Categorical)</li><li><b>Trap_open_closed</b>: Trap open or closed (Field type: Categorical)</li><li><b>Bait</b>: Bait taken or intact (Field type: Categorical)</li></ul></li></ol><p><b>Date range: </b>2014-10-22 to 2015-03-30</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> -  -  - Erinaceomorpha<br> -  -  -  - Erinaceidae<br> -  -  -  -  - <i>Echinosorex</i><br> -  -  -  -  -  - <i>Echinosorex gymnura</i><br> -  -  - Rodentia<br> -  -  -  - Muridae<br> -  -  -  -  - <i>Lenothrix</i><br> -  -  -  -  -  - <i>Lenothrix canus</i><br> -  -  -  -  - <i>Leopoldamys</i><br> -  -  -  -  -  - <i>Leopoldamys sabanus</i><br> -  -  -  -  - <i>Maxomys</i><br> -  -  -  -  -  - <i>Maxomys rajah</i><br> -  -  -  -  -  - <i>Maxomys surifer</i><br> -  -  -  -  - <i>Niviventer</i><br> -  -  -  -  -  - <i>Niviventer cremoriventer</i><br> -  -  -  -  - <i>Rattus</i><br> -  -  -  -  -  - <i>Rattus rattus</i><br> -  -  -  - Sciuridae<br> -  -  -  -  - <i>Callosciurus</i><br> -  -  -  -  -  - <i>Callosciurus adamsi</i><br> -  -  -  -  -  - <i>Callosciurus notatus</i><br> -  -  -  -  -  - <i>Callosciurus prevostii</i><br> -  -  -  -  - <i>Sundasciurus</i><br> -  -  -  -  -  - <i>Sundasciurus lowii</i><br> -  -  - Scandentia<br> -  -  -  - Tupaiidae<br> -  -  -  -  - <i>Tupaia</i><br> -  -  -  -  -  - <i>Tupaia dorsalis</i><br> -  -  -  -  -  - <i>Tupaia glis</i><br> -  -  -  -  -  - <i>Tupaia gracilis</i><br></div><p></p>
Data from Uerpmann 1987, The Ancient Distribution of Ungulate Mammals in the Middle East, TAVO A27
<p>Data from Uerpmann’s (1987), <em><a href="https://reichert-verlag.de/en/author/u/uerpmann_hans_peter/9783882263954_the_ancient_distribution_of_ungulate_mammals_in_the_middle_east-detail">The Ancient Distribution of Ungulate Mammals in the Middle East</a></em>, volume 27 of the Tübinger Atlas des Vorderen Orients (TAVO), Series A.</p> <p>Uerpmann catalogued the occurrence of ungulate taxa in animal bone assemblages from 196 sites across the Middle East, from the Lower Palaeolithic to the historic period. Though no longer up-to-date, it remains one of the most comprehensive resources on quaternary biogeography in Southwest Asia. Here, the catalogue included in the volume has been transcribed into a structured format suitable for modern computerised data analysis.</p> <p>See README.md for further information and usage notes.</p>
Mammal trapping grid data for the SAFE Project
<b>Description: </b><p>This zipfile contains point grids used for mammal live trapping and camera trapping at the SAFE Project. There are 46 grids, each one consisting of a 4 by 12 grid of points, spread across blocks of old growth forest, logged forest and oil palm.<br><br>The grids were established by Ollie Wearn and processed by David Orme to convert the original GIS files to a single dataset using the UTM 50N projetion. Details of the geoprocessing can be found here: <a href="https://www.safeproject.net/dokuwiki/safe_gis/mammaltraps">https://www.safeproject.net/dokuwiki/safe_gis/mammaltraps</a>.</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/1"><b>SAFE CORE DATA</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3490613">here</a></p><p><b>Files: </b>This dataset consists of 2 files: SAFE_Mammal_traps_metadata.xlsx, SAFE_MammalTraps_UTM50N_WGS84.zip</p><p><b>SAFE_Mammal_traps_metadata.xlsx</b></p><p>This file only contains metadata for the files below</p><p><b>SAFE_MammalTraps_UTM50N_WGS84.zip</b></p><p>Description: Shapefile containing 2208 point locations of trapping grid points across SAFE locations</p><p>This file contains 1 data tables:</p><ol><li><p></p><p><b>Feature properties</b> (described in worksheet Properties)</p><p>Description: Field descriptions for shapefile properties</p><p>Number of fields: 8</p><p>Number of data rows: Unavailable (table metadata description only).</p><p>Fields: </p><ul><li><b>GPS_Ident</b>: Name of trap point in original GPS ident (Field type: location)</li><li><b>Altitude</b>: GPS Elevation of point (Field type: numeric)</li><li><b>Project</b>: Project name - all values are 'SAFE' (Field type: categorical)</li><li><b>Site</b>: SAFE Project main block identity for point (Field type: categorical)</li><li><b>Station</b>: Identical to GPS_Ident (Field type: location)</li><li><b>Location</b>: Specific location within main block (Field type: categorical)</li><li><b>Block</b>: Sub-block number or location within main site block (Field type: categorical)</li><li><b>Number</b>: Trap point number - each grid has 48 points (Field type: numeric)</li></ul><p></p></li></ol><p><b>Date range: </b>2010-10-01 to 2019-10-01</p><p><b>Latitudinal extent: </b>4.6348 to 4.7539</p><p><b>Longitudinal extent: </b>116.9471 to 117.6254</p>
Figure 2 in Checklist of marine tetrapods (reptiles, seabirds, and mammals) of Turkey
Figure 2. Map showing the distribution of marine mammal diversity along Turkish coasts.
Figure 1 in Checklist of marine tetrapods (reptiles, seabirds, and mammals) of Turkey
Figure 1. Larus argentatus individual observed at Samsun Harbor (by Nizamettin Yavuz).
Figure. Camera traps points (l) in study area. in Camera trapping of medium and large-sized mammals in western Black Sea deciduous forests in Turkey
Figure. Camera traps points (l) in study area.
Fig. 5 in Early steps in the radiation of notoungulate mammals in southern South America: A new henricosborniid from the Eocene of Patagonia
Fig. 5. Size comparison between members of Henricosborniidae and Orome deepi gen. et sp. nov.
Fig. 1 in The gomphotheriid mammal Platybelodon from the Middle Miocene of Linxia Basin, Gansu, China
Fig. 1. Map showing fossil platybelodont localities in the Linxia Basin, Gansu, western China.
Fig. 1 in Dental and tarsal morphology of the European Paleocene/Eocene "condylarth" mammal Microhyus
Fig. 1. Location of the localities of Hoogbutsel (1) and Boutersem TGV (2).
Fig. 9 in Dental and tarsal morphology of the European Paleocene/Eocene "condylarth" mammal Microhyus
Fig. 9. Histogram of the area (length × width) of M1 of Microhyus reisi.
Mammal body size (EOL v3 test): mammal body size
A sample of data downloaded from the new EOL search interface. All available data for mammals for any measure of body size, with full metadata. https://beta.eol.org/terms/search_results?term_query%5Bclade_id%5D=1642&term_query%5Bfilters_attributes%5D%5B0%5D%5Bop%5D=is_any&term_query%5Bfilters_attributes%5D%5B0%5D%5Bpred_uri%5D=http%3A%2F%2Fpurl.obolibrary.org%2Fobo%2FOBA_VT0100005&term_query%5Bresult_type%5D=record
Arctic Biodiversity: Arctic Mammals
Biogeography and other attributes for Arctic organisms, various sources.<p></p>Meltofte, H. (ed.) 2013. Arctic Biodiversity Assessment. Status and trends in Arctic biodiversity. Conservation of Arctic Flora and Fauna, Akureyri. <p></p>https://arcticbiodiversity.is/index.php/the-report/chapters/mammals
Mammal occurrence records (2022-24) from Sakleshpura, central Western Ghats, India
<p><strong>Mammal occurrence records (2022-24) from Sakleshpura, central Western Ghats, India</strong></p> <p>This dataset contains mammal occurrence records from 2022 to 2024 in the Sakleshpura region of central Western Ghats, India. It includes a few occurrence records of other chordates. Occurrence records were gathered in the field by researchers of the Nature Conservation Foundation, India, using a mobile data collection application. Suggested citation is:<br>Nature Conservation Foundation (2024). Mammal occurrence records (2022-24) from Sakleshpura, central Western Ghats, India. Nature Conservation Foundation, India. Dataset</p> <p><strong>Keywords:</strong> tropical rainforest, plantations, Sakleshpura, animal distribution, Western Ghats</p> <p><strong>CONTACT #1</strong><br>1. Name: Anand M Osuri<br>2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India<br>3. Work Phone: +91 821 2515601<br>4. Email address: aosuri@ncf-india.org<br>5. ORCID: https://orcid.org/0000-0001-9909-5633</p> <p><strong>CONTACT #2</strong><br>1. Name: Vijay Karthick<br>2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India<br>3. Work Phone: +91 821 2515601<br>4. Email address: vijayk@ncf-india.org <br>5. ORCID: https://orcid.org/0000-0001-6023-3955</p> <p><strong>CONTACT #3</strong><br>1. Name: Vijay Kumar<br>2. Work Address: Nature Conservation Foundation, 1311, 12th A Main, Vijayanagar 1st Stage, Mysuru 570017, Karnataka, India<br>3. Work Phone: +91 821 2515601<br>4. Email address: vijaykumar@ncf-india.org <br>5. ORCID: https://orcid.org/0009-0000-4149-0083</p> <p><br><strong>Geographic Coverage:</strong><br>1. Location/Study Area: Sakleshpura, Karnataka, India<br>2. GPS coordinates: Kadamane Village (12.924647, 75.654650)</p> <p><strong>Temporal Coverage:</strong><br>1. Begins: 2022-05-16 (Year, Month, Day)<br>2. Ends: 2024-05-22 (Year, Month, Day)</p> <p>Besides the 000_readMe.txt file containing this information and the 14 images associated with individual observations, the dataset includes three comma-delimited text (csv) files, and one R code file as explained below:<br>1) <strong>001_mammalData.csv</strong> -- This file has the main mammal occurrence data with relevant and renamed columns derived from the original downloaded Excel worksheet file</p> <p>2) <strong>002_placeLocs.csv</strong> -- This file lists names places for which the GPS location was unavailable from the mobile phone application, and was manually assigned to coordinates with 500 or 1000m accuracy</p> <p>3) <strong>003_nameMatch.csv</strong> -- This file matches the name as originally recorded with the correct common name and scientific name</p> <p>4) <strong>004_GBIF_upload_code.R </strong>-- R code for processing the files to create a file for upload as an occurrence dataset on the Global Biodiversity Information Facility (GBIF.org)</p> <p>5) <strong>005_download_images_from_googledrive.R</strong> - R code to extract image IDs and download images from googledrive</p> <p>6) <strong>006_kadamane_mammal_occurrence.xls</strong>x - An excel file that contains the raw data and used in the codes above</p> <p>FILES INCLUDED IN DATASET</p> <p><strong>001_mammaldata.csv</strong><br>This file has the main mammal occurrence data with relevant and renamed columns derived from the original downloaded Excel worksheet file </p> <p>observers: Observers who made the observation<br>timestamp: Automatic time stamp of date and time when app was used<br>date: Date of observation<br>time: Time of observation<br>decimalLatitude: Latitude in decimal degrees N<br>decimalLongitude: Longitude in decimal degrees E<br>GPSaltitude: Altitude in metres<br>GPSaccuracy: Horizontal accuracy of GPS location in metres<br>place: Name of locality<br>habitat: Habitat type<br>taxa: mammal or reptile/amphibian<br>species: Species common name<br>count: Number of individuals observed<br>countType: Total (solitary or fully counted groups) or Partial (incompletely counted groups)<br>obsType: Type of observation: sighting, sign (droppings or vocalisation), death, roadkill, electrocution, other<br>notes: Notes or remarks on observation<br>imageID: Link to the google drive photo, if photo is available<br>instanceID: Automatically generated unique identifier of observation</p> <p><strong>002_placeLocs.csv</strong><br>This file lists names places for which the GPS location was unavailable from the mobile phone application, and was manually assigned to coordinates with 500 m accuracy</p> <p>place: Name of locality as recorded<br>lat: Assigned latitude in decimal degrees N<br>long: Assigned longitude in decimal degrees E<br>GPSaccuracy: Assigned as 500 or 1000m – Horizontal accuracy of GPS location in metres</p> <p><strong>003_nameMatch.csv</strong><br>This file matches the name as originally recorded with the correct common name and scientific name.</p> <p>verbatimIdentification: Identification as originally recorded in the ‘species’ column of the mammaldata.csv file<br>vernacularName: Common or english name<br>scientificName: Scientific name</p> <p><strong>004_GBIF_upload_code.R</strong><br>R code for processing the files to create a file for upload as an occurrence dataset on the Global Biodiversity Information Facility (GBIF.org)</p> <p><strong>005_download_images_from_googledrive.R</strong><br>R code that extracts imageIDs from the 001_mammalData.csv file and downloads them automatically to a preferred directory</p> <p><strong>006_kadamane_mammal_occurrence.xlsx</strong><br>An excel file that contains the raw data and used in the codes above</p>
Fig. 11 in Late Miocene large mammals from Yulafli, Thrace region, Turkey, and their biogeographic implications
Fig. 11. Plot of length versus distal articular width of Mc−III in some hipparions.
Fig. 6 in Late Miocene large mammals from Yulafli, Thrace region, Turkey, and their biogeographic implications
Fig. 6. Length versus width plot of Deinotherium M3s.
Fig. 1 in Late Miocene large mammals from Yulafli, Thrace region, Turkey, and their biogeographic implications
Fig. 1. Location map (A) and stratigraphic context (B) of the Yulafll localities.
Fig. 3 in Late Miocene large mammals from Yulafli, Thrace region, Turkey, and their biogeographic implications
Fig. 3. Length versus width plot of m1 in the genus Indarctos, showing continuous variation.
Fig. 5 in Late Miocene large mammals from Yulafli, Thrace region, Turkey, and their biogeographic implications
Fig. 5. Length versus width plot of Deinotherium P4s.
Fig. 7 in Late Miocene large mammals from Yulafli, Thrace region, Turkey, and their biogeographic implications
Fig. 7. Length versus width plot of Choerolophodon m3s.
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International Brain Laboratory public data
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OpenNeuro
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