Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

5

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

5 results for “riparian reserve”

Learn how ShareScore rates datasets ↗
zenodo36/100

Data for the project investigating movement of terrestrial rodents in riparian reserves

<b>Description: </b><p>The spool-and-line technique was used to observe the efficacy with which small mammals are able to use riparian strips as dispersal corridors within a fragmented landscape. I set up transects along established riparian strips in mature oil palm plantations, using novel sites &gt;1000m away from existing SAFE project sites to avoid conflict with other projects. These included riparian strips of widths ranging from 10-120 metres. Control (continuous twice-logged forest) sites will be set up within the SAFE landscape. For each riparian transect, I set twenty Tomahawk-style steel cage traps baited with oil palm fruit at 15m intervals along the transect, with a constant distance from the oil palm edge of the riparian zone. To avoid physiological stress to the mammals, traps were set up only in well-shaded microhabitats in dense cover, with sufficiently large and fresh bait to provide adequate nutrition. I checked trapping transects everyday and re-set each day at dusk. This study will focus on common and resilient rats of the genus Maxomys. I only focus on adults and subadults, and released vulnerable juveniles and pregnant females released. <br><br>Animals caught were identified, sexed and aged, and either released or retained for tracking, depending on several criteria. Spooled individuals will fit weight criteria such that any attached spool device does not exceed 5% of the individual's body weight. Animals over 40g were tracked with a small spool (length=88m), while animals over 100g will use a large spool (length=220m). Animals below the 40g cut-off were released. This ensures representative movement is observed, and meets widely-accepted ethical guidelines for tracking devices. Animals fitted with a spooling device were firstly anaesthetised with diethyl ether to obtain biometric measurements (hind foot, ano-genital distance and weight), the sex, age and species for each individual. As well as providing back-up information in the case of uncertain ID, these data are important covariates of observed movement behaviour.<br><br>To track the movement path of selected individuals, I attached a temporary lightweight bobbin of thread to the animal. A hair clip will be taken from the upper back region to provide a fur-based attachment point for the spool using cyanoacrylate gel glue. To spool package was a bobbin double-wrapped in a cling-film layer that allows smooth unravelling, and then wound in a gaffer tape layer that avoids snagging on foliage. The total weight of the package did not exceed 5% of the average minimum weight of each species. Once processed, I translocated individuals from their site of capture by ~50m to a release site longitudinally along the same riparian reserve. The proximal end of the thread was tied to a fixed or heavy structure such as the trap so that as the animal is released from the trap, the freely unravelling thread catches onto vegetation and topography, revealing the movement patterns of the individual. Movement paths were divided into steps, with a step being defined as a length of the animal's track where it does not deviate from a straight line by more than 10 degrees. I measured the length of steps and the angles between them using a tape measure and compass to construct a detailed two-dimensional map of each animal's route through space. From this, I obtained a measure of path tortuosity (fractal dimension and deviation from a correlated random walk) for each tracked movement path. <br></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/36"><b>Determining the importance of riparian reserves to maintain the dispersal of small mammals in a fragmented landscape in Sabah, Malaysia</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=72">here</a></p><p><b>Data worksheets: </b>There are 2 data worksheets in this dataset:</p><ol><li><p><b>Data collected from spool-and-line tracking of terrestrial rodents</b> (Worksheet SpoolData)</p><p>Dimensions: 5544 rows by 14 columns</p><p>Description: This worksheet contains the data I collected from the spool-and-line tracking. Each tracked rodent individual has a corresponding unique identification number, given by the name in the &#x27;Path_code&#x27; column. The &#x27;Path_code&#x27; identification number of a tracked individual corresponds to the same individual in the &#x27;Trapping and Fractal data&#x27; worksheet. The &#x27;Step_number&#x27; column indicates the order of individual steps of a movement path for a tracked rodent. The direction bearing of an individual movement path step is presented in the &#x27;Step_bearing&#x27; column. The &#x27;Step_length&#x27; column contains the length in centimeters of an individual movement step. The &#x27;Matrix&#x27; coloumn indicates whether the rodent was released in a riparian reserve (RR) or continuous twice-logged forest (CF) habitat.</p><p>Fields: </p><ul><li><b>Transect_location</b>: Location of the transect (Field type: Location)</li><li><b>Date_trap</b>: Date traps were set (Field type: Date)</li><li><b>Date_release</b>: Date individuals were released (Field type: Date)</li><li><b>Date_spool</b>: Date a spool path was recorded (Field type: Date)</li><li><b>Site_id</b>: Transect ID (Field type: ID)</li><li><b>Trap_number</b>: Location of trap along the transect (Field type: Numeric)</li><li><b>Release_location</b>: Grid coordinates for location where a spooled individual was released (Field type: ID)</li><li><b>Species</b>: Species (Field type: Taxa)</li><li><b>Path_code</b>: Unique spool path ID (Field type: ID)</li><li><b>Step_number</b>: The sequential order of the movement steps of a spool path (Field type: Numeric)</li><li><b>Step_bearing</b>: Movement step bearing (Field type: Numeric)</li><li><b>Step_length</b>: Movement step length (Field type: Numeric)</li><li><b>Matrix</b>: Habitat adjacent to riparian forest (Field type: Categorical)</li></ul><br></li><li><p><b>Rodent trapping and fractal analysis data</b> (Worksheet TrappingData)</p><p>Dimensions: 1102 rows by 40 columns</p><p>Description: This worksheet contains data from rodent surveys I conducted in riparian reserves and continuous twice-logged forest habitats. It contains morphometric data of individuals, including: weight (g), hind foot (cm) and AGD (cm). As well as the species (Maxomys whiteheadi/MW, Maxomys surifer/MS, Maxomys rajah/MR, Niviventer cremoriventer/DTT, Sundamys muelleri/MR, Rattus norvegicus/BR or Leopoldamys sabanus/LTG), sex (Female/F and Male/M) and age (Adult/A, Subadult/SA or Juvenile/J) of individuals. The coloumn &#x27;Entered_op&#x27; contains data on whether an individual crossed over from the riparian corridor habitat into the adjacent oil palm (1 = entered oil palm habitat). It also contains the data output of the fractal analysis (fractal dimension/D_dimension and correlated random walk/CRW_Diff) of the movement trajectories. </p><p>Fields: </p><ul><li><b>Transect_location</b>: Location of the transect (Field type: Location)</li><li><b>Date_trap</b>: Date traps were set (Field type: Date)</li><li><b>Date_process</b>: Date the individual was processed or attached with a spooling devie (Field type: Date)</li><li><b>Date_release</b>: Date individuals were released (Field type: Date)</li><li><b>Date_spool</b>: Date a spool path was recorded (Field type: Date)</li><li><b>Site_id</b>: Transect ID (Field type: ID)</li><li><b>Trap_Location</b>: Grid coordinate of the trap (Field type: ID)</li><li><b>Trap_number</b>: Location of trap along the transect (Field type: Numeric)</li><li><b>Trap_success</b>: Whether an individual was trapped (Field type: Categorical)</li><li><b>Death</b>: Recorded deaths (Field type: Categorical)</li><li><b>Process_time</b>: Time at which an animal was spooled and released (Field type: Time)</li><li><b>Release_distance</b>: Distance or grid coordinates along the transect where a spooled individual was released (Field type: ID)</li><li><b>Release_location</b>: Site of release within the riparian corridor (Field type: Categorical)</li><li><b>Release_distance_from_edge</b>: Distance from oil palm edge where an individual is released in a riparian reserve (Field type: Numeric)</li><li><b>SF_release</b>: Whether a spool fell immediately upon release (Field type: Categorical)</li><li><b>Species</b>: Species (Field type: Taxa)</li><li><b>Sex</b>: Sex of individual (Field type: Categorical)</li><li><b>Age</b>: Age of individual (Field type: Categorical)</li><li><b>Weight</b>: Weight of individual (Field type: Numeric)</li><li><b>Hind_foot</b>: Length of hind foot of an individual (Field type: Numeric)</li><li><b>AGD</b>: Anogenital distance of individual (Field type: Numeric)</li><li><b>Ear</b>: Length of ear (Field type: Numeric)</li><li><b>Path_code</b>: Unique spool path ID (Field type: ID)</li><li><b>Spool_follower</b>: Person who tracked the spool path (Field type: Comments)</li><li><b>Matrix</b>: Habitat adjacent to trapping grid (Field type: Categorical)</li><li><b>Distance_translocated</b>: Distance an individual was translocated from its capture point (Field type: Numeric)</li><li><b>Path_end</b>: Reason why spool fell off (Field type: Categorical)</li><li><b>Spool_totalsteps</b>: Total number of movement path steps in the tracked spool path (Field type: Numeric)</li><li><b>Spool_totallength</b>: Total length of a spool path (Field type: Numeric)</li><li><b>Dist_from_release</b>: Distance from the spool path end to the release site (Field type: Numeric)</li><li><b>Entered_op</b>: Whether the tracked individual crossed over from the riparian reserve into the oil palm habitat (Field type: Categorical)</li><li><b>D_dimension</b>: Fractal Dimension of the movement path (Field type: Numeric)</li><li><b>Total_steps</b>: The sum of steps in an individual&#x27;s movement path (Field type: Numeric)</li><li><b>Total_length</b>: Total length of the tracked movement path (Field type: Numeric)</li><li><b>Min_stepsize</b>: The shortest movement path step taken (Field type: Numeric)</li><li><b>Max_stepsize</b>: The longest movement path step taken (Field type: Numeric)</li><li><b>Mean_stepsize</b>: The mean step length of a movement path (Field type: Numeric)</li><li><b>CRW_Diff</b>: Deviation of movement path from a correlated random walk (Field type: Numeric)</li><li><b>Rainfall</b>: If it was raining when the spooled individual was released (Field type: Ordered Categorical)</li></ul><br></li></ol><p><b>Date range: </b>2016-03-07 to 2016-06-25</p><p><b>Latitudinal extent: </b>4.6505 to 4.7255</p><p><b>Longitudinal extent: </b>117.4532 to 117.6286</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>&ensp;-&ensp;Chordata<br>&ensp;-&ensp;&ensp;-&ensp;Mammalia<br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;Rodentia<br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;Muridae<br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;<i>Chrotomys</i><br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;<i>Chrotomys whiteheadi</i> (as <i>Maxomys whiteheadi</i>)<br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;<i>Leopoldamys</i><br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;<i>Leopoldamys sabanus</i><br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;<i>Maxomys</i><br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;<i>Maxomys rajah</i><br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;<i>Maxomys surifer</i><br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;<i>Niviventer</i><br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;<i>Niviventer cremoriventer</i><br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;<i>Rattus</i><br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;<i>Rattus exulans</i><br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;<i>Rattus norvegicus</i><br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;<i>Sundamys</i><br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;<i>Sundamys muelleri</i><br></div><p></p>

opencc-by-4.0Mar 2018View details →
dryad32/100

Data from: Riparian reserves help protect forest bird communities in oil palm dominated landscapes

1. Conversion of forest to oil palm agriculture is a significant and continuing threat to tropical biodiversity. Despite this, little is known about the value of riparian reserves in oil palm and how these conservation set-asides might best be managed to maintain biodiversity. 2. We characterised bird communities of 28 sites in an oil palm-forest mosaic in Sabah, Malaysia using 6104 encounters from 840 point counts. Sites included oil palm riparian reserves of various vegetation quality and reserve widths, which were compared to oil palm streams without a riparian reserve as well as riparian and non-riparian control areas in continuous logged forest. 3. Riparian reserves, oil palm waterways, and control sites in riparian and non-riparian forest supported distinct avifaunal communities. Riparian reserve width, forest quality and amount of forest cover were the strongest predictors of bird species richness. For forest-dependent species, each of these predictors had stronger effect size when compared with all species. On average, reserves held 31% of all species and 30% of forest specialists, whereas riparian forest controls averaged 32% of all species, but 38% of forest species. 4. Riparian reserves with &gt;40 m of natural vegetation on each bank supported similar bird diversity to riparian forest control habitats found in continuous forest. However, to support equivalent numbers of forest-dependent species and species of conservation concern, reserves would need to be at least 100 m wide on each bank. The highest numbers of species were found in riparian reserves with above-ground carbon densities exceeding 75 tC ha-1, highlighting the importance of forest quality, as well as width, in supporting riparian bird communities. 5. Synthesis and applications. If designed and protected appropriately, riparian reserves in oil palm estates support diverse bird communities, including many species of conservation concern. This can be achieved by designating large reserves (80-200 m total width), but to maximize species numbers forest disturbance should also be minimised prior to conversion as well as during plantation operations.13-Jun-2018

opencc-zeroDec 2017View details →
dryad32/100

Data from: Riparian reserves help protect forest bird communities in oil palm dominated landscapes

Open the record for dataset details and reuse information.

publicJun 2019View details →
zenodo28/100

Importance of riparian reserves and other forest fragments for small mammal diversity in disturbed and converted forest landscapes

<b>Description: </b><p>The primary objective of this study was to document the species richness, community composition of the small mammals in riparian remnants within oil palm plantation and in degraded forests. The purpose is to assess the value of retaining riparian remnants within oil palm plantation and logged forest habitats for small mammals conservation. <br>Main questions <br>1. Is there a difference in species richness and community composition of small mammals in riparian remnants within oil palm and logged forests? <br>2. What effects do maintaining riparian remnants in oil palm and logged forests have on small mammal diversity? <br>3. Does the structure and width of riparian remnants in oil palm and logged forests affect small mammal species diversity? <br>4. How does the structure of riparian reserves could be managed to improve the extent to which they retain small mammals communities in oil palm and logged forests?<br>Methods<br>Sampling will be conducted at several sites representing four habitat treatments: (1) riparian reserves in old growth forests as control treatment (at Maliau Basin Conservation Area); (2) riparian reserves of different widths in logged forests (SAFE project area); (3) riparian remnants of different widths in oil palm (south of SAFE project area); and (4) oil palm without any riparian remnants (south of SAFE project area). In addition, sampling was conducted in other forest remnants within oil palm habitats. Each habitat treatment will be represented by three sites serving as replicates. <br>Used a grid trapping of 4 x 12 grid points (23m spacing) for sampling the small mammals. We shall establish one grid at each site with 48 trap stations. Two wire-mesh cage traps (28 x 15 x 12.5 cm), baited with oil palm fruits, will be placed at each station. Trapping of small mammals and searchers for amphibians will be conducted in four sampling sessions. In each session we will visit randomly four sites representing the four habitat treatments. Each sampling session at each site will last for four months. Overall, each habitat treatment will be sampled three times over a 12 months period. The following variables will be collected for each sampling site to characterize the habitat structure: canopy cover, number of large and small logs, number of large and small trees, percentage leaf litter cover and other variables that may influence the distribution and abundance of small mammals.</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/3"><b>Importance of riparian reserves and other forest fragments for mammal and amphibian diversity in disturbed and converted forest landscapes</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 biodiversity council (Research licence Local)</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=3908128">here</a></p><p><b>Files: </b>This consists of 1 file: UMS_Small_mammal_data.xlsx</p><p><b>UMS_Small_mammal_data.xlsx</b></p><p>This file contains dataset metadata and 1 data tables:</p><ol><li><p><b>Data</b> (described in worksheet Data)</p><p>Description: small mammal presence and absense</p><p>Number of fields: 29</p><p>Number of data rows: 140</p><p>Fields: </p><ul><li><b>landuse</b>: Habitat type (Field type: categorical)</li><li><b>site</b>: Location of sampling (Field type: location)</li><li><b>plot</b>: Plot name (Field type: categorical)</li><li><b>day</b>: Day of sampling (Field type: categorical)</li><li><b>Callosciurus notatus</b>: Number of species caught (Field type: abundance)</li><li><b>Echinosorex gymnurus</b>: Number of species caught (Field type: abundance)</li><li><b>Haeromys margarettae</b>: Number of species caught (Field type: abundance)</li><li><b>Lariscus hosei</b>: Number of species caught (Field type: abundance)</li><li><b>Leopoldamys sabanus</b>: Number of species caught (Field type: abundance)</li><li><b>Maxomys alticola</b>: Number of species caught (Field type: abundance)</li><li><b>Maxomys baeodon</b>: Number of species caught (Field type: abundance)</li><li><b>Maxomys ochraceiventer</b>: Number of species caught (Field type: abundance)</li><li><b>Maxomys rajah</b>: Number of species caught (Field type: abundance)</li><li><b>Maxomys surifer</b>: Number of species caught (Field type: abundance)</li><li><b>Maxomys whiteheadi</b>: Number of species caught (Field type: abundance)</li><li><b>Niniventer cremoriventer</b>: Number of species caught (Field type: abundance)</li><li><b>Rattus exulans</b>: Number of species caught (Field type: abundance)</li><li><b>Rattus rattus</b>: Number of species caught (Field type: abundance)</li><li><b>Rattus tiomanicus</b>: Number of species caught (Field type: abundance)</li><li><b>Sundamys muelleri</b>: Number of species caught (Field type: abundance)</li><li><b>Sundasciurus hippurus</b>: Number of species caught (Field type: abundance)</li><li><b>Sundasciurus lowii</b>: Number of species caught (Field type: abundance)</li><li><b>Sundasciurus tenuis</b>: Number of species caught (Field type: abundance)</li><li><b>Trichys fasciculata</b>: Number of species caught (Field type: abundance)</li><li><b>Tupaia glis</b>: Number of species caught (Field type: abundance)</li><li><b>Tupaia gracilis</b>: Number of species caught (Field type: abundance)</li><li><b>Tupaia minor</b>: Number of species caught (Field type: abundance)</li><li><b>Tupaia tana</b>: Number of species caught (Field type: abundance)</li><li><b>Grand Total</b>: Total (Field type: numeric)</li></ul></li></ol><p><b>Date range: </b>2015-03-01 to 2019-04-30</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>&ensp;-&ensp; Animalia <br>&ensp;-&ensp;&ensp;-&ensp; Chordata <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Mammalia <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Rodentia <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Sciuridae <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Callosciurus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Callosciurus notatus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Lariscus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Lariscus hosei</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Sundasciurus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Sundasciurus hippurus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Sundasciurus lowii</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Sundasciurus tenuis</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Hystricidae <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Trichys</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Trichys fasciculata</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Muridae <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Maxomys</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Maxomys alticola</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Maxomys baeodon</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Maxomys ochraceiventer</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Maxomys rajah</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Maxomys surifer</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Rattus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Rattus exulans</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Rattus rattus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Rattus tiomanicus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Sundamys</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Sundamys muelleri</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Haeromys</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Haeromys margarettae</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Niviventer</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Niviventer cremoriventer</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Chrotomys</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Chrotomys whiteheadi</i> (as homotypic_synonym: <i>Maxomys whiteheadi</i>)<br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Leopoldamys</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Leopoldamys sabanus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Erinaceomorpha <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Erinaceidae <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Echinosorex</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Echinosorex gymnura</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Scandentia <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Tupaiidae <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Tupaia</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Tupaia glis</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Tupaia gracilis</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Tupaia minor</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Tupaia tana</i> <br></div><p></p>

opencc-by-4.0Jun 2020View details →
zenodo28/100

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 &amp; a PhD scholarship jointly funded by University of Kent &amp; NERC &amp; EnvEast DTP scholarship, NE/K016407/1 &amp; 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 &amp; 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>&ensp;-&ensp; Animalia <br>&ensp;-&ensp;&ensp;-&ensp; Chordata <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Mammalia <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Chiroptera <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; [BBFM1] <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; [BBFM2] <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; [BBFM3] <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; [BBFM4] <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; [BBFM5] <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; [BBFM6] <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Hipposideridae <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Hipposideros</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Hipposideros cervinus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Hipposideros galeritus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Hipposideros ridleyi</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Rhinolophidae <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Rhinolophus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Rhinolophus acuminatus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Rhinolophus borneensis</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Rhinolophus sedulus</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Rhinolophus trifoliatus</i> <br></div><p></p>

opencc-by-4.0Aug 2020View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record