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.
2,581
datasets available to search
ShareScore release 0.7.1
Dataset results
2,581 results for “amphibians”
MAP 181 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 181. Distribution of Chamaesaura anguina oligopholis in Angola.
MAP 125 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 125. Distribution of Afrogecko ansorgii in Angola.
MAP 43 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 43. Distribution of Hyperolius gularis in Angola.
MAP 4 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 4. Distribution of Xenopus muelleri in Angola.
MAP 161 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 161. Distribution of Monopeltis perplexus in Angola.
FIGURE 15 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
FIGURE 15. Namibian Savanna Woodlands near Virei, Namibe Province (Photo by Luis Ceríaco).
MAP 368 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 368. Distribution of Thrasops flavigularis in Angola.
MAP 334 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 334. Distribution of Naja mossambica in Angola.
MAP 309 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 309. Distribution of Psammophis jallae in Angola.
FIGURE 5 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
FIGURE 5. Annual mean temperatures of Angola (after Hijmans et al. 2005).
FIGURE 2 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
FIGURE 2. The topography of Angola (after Sayre et al. 2013)
FIGURE 7 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
FIGURE 7. Major ecoregions of Angola (after Olson et al. 2001).
Leaf litter amphibian communities
<b>Description: </b><p>Leaf litter amphibian communities</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/84"><b>Composition of amphibian communities</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=96">here</a></p><p><b>Files: </b>This consists of 1 file: template_Faruk.xlsx</p><p><b>template_Faruk.xlsx</b></p><p>This file contains dataset metadata and 2 data tables:</p><ol><li><p><b>Plot environmental data</b> (described in worksheet EnvironData)</p><p>Description: Descriptions of vegetation and plot biophysical characteristics</p><p>Number of fields: 15</p><p>Number of data rows: 141</p><p>Fields: </p><ul><li><b>Locality</b>: SAFE Project sample site (Field type: Location)</li><li><b>Date</b>: Date of observations (Field type: Date)</li><li><b>TreeBigger50m</b>: Number of large trees (Field type: Numeric)</li><li><b>TreeSmaller50m</b>: Number of small trees (Field type: Numeric)</li><li><b>Deadwood</b>: Number of deadwood items (Field type: Numeric)</li><li><b>Litter1</b>: Leaf litter weight (one of four measurements) (Field type: Numeric)</li><li><b>Litter2</b>: Leaf litter weight (one of four measurements) (Field type: Numeric)</li><li><b>Litter3</b>: Leaf litter weight (one of four measurements) (Field type: Numeric)</li><li><b>Litter4</b>: Leaf litter weight (one of four measurements) (Field type: Numeric)</li><li><b>Veg1</b>: Unknown (Field type: Numeric)</li><li><b>Veg2</b>: Unknown (Field type: Numeric)</li><li><b>Veg3</b>: Unknown (Field type: Numeric)</li><li><b>TADPOLE</b>: Number of frog tadpoles observed (Field type: Numeric)</li><li><b>ADULT</b>: Number of frog adults observed (Field type: Numeric)</li><li><b>SPAWN</b>: Number of frog spawn observed (Field type: Numeric)</li></ul></li><li><p><b>Species records</b> (described in worksheet SpeciesData)</p><p>Description: Identity and abundance of frog species</p><p>Number of fields: 5</p><p>Number of data rows: 10</p><p>Fields: </p><ul><li><b>Locality</b>: SAFE Project sample site (Field type: Location)</li><li><b>Date</b>: Date of observation (Field type: Date)</li><li><b>TaxonomicName</b>: Species identity (Field type: Taxa)</li><li><b>Quantity</b>: Number of individuals observed (Field type: Numeric Trait)</li><li><b>Stage</b>: Life history stage (Field type: Categorical)</li></ul></li></ol><p><b>Date range: </b>2011-06-19 to 2011-06-29</p><p><b>Latitudinal extent: </b>4.6882 to 4.7369</p><p><b>Longitudinal extent: </b>117.5746 to 117.6549</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> -  - Amphibia<br> -  -  - Anura<br> -  -  -  - Dicroglossidae<br> -  -  -  -  - <i>Fejervarya</i><br> -  -  -  -  -  - <i>Fejervarya limnocharis</i><br> -  -  -  - Microhylidae<br> -  -  -  -  - <i>Chaperina</i><br> -  -  -  -  -  - <i>Chaperina fusca</i><br></div><p></p>
Code and data for "Optimising habitat management for amphibians: from simple models to complex decisions"
<p>The zip archive contains code and data to reproduce the analysis contained in the following manuscript:</p> <p>Scroggie, M.P., Preece, K., Nicholson, E., McCarthy, M.A., Parris, K.M. and Heard, G.W. Optimising habitat management for amphibians: from simple models to complex decisions.</p> <p>Included in the archive is the source code of two R packages (METAPOP, and METAPOPPLAN), which must first be installed, along with their various dependencies which include Rcpp, RcppArmadillo, sp, spdep and rgeos. As package METAPOPPLAN contains C++ code, installation requires the presence of the appropriate C++ compilers and other software development tools. These should be available or easily installable on Linux or other Unix based systems, but Microsoft Windows users must first install the appropriate version of Rtools, which can be downloaded from https://cran.r-project.org/bin/windows/Rtools/.</p> <p>With all appropriate packages installed, the analysis can be replicated by running the included Makefile.</p> <p>Total execution time will be quite long, due to the large number of simulations that must be run. On my Windows system, with 12 cores and 4GB of RAM, execution took approximately 10 days. The code will run much faster if the various management scenarios included in the analysis are executed in parallel. This can be done by executing make with a -j argument specifying the number of cores to utilise. For example, if your system has 12 cores, invoke *make* as follows:</p> <p>make -j 12</p> <p>Overall execution time will scale roughly with the number of available cores, up to a maximum of 24 (the total number of management scenarios).<br> </p>
Figure 3 in Additions to the Amphibian fauna of Arunachal Pradesh, India
Figure 3. Polypedates assamensis.
Figure 1 in Additions to the Amphibian fauna of Arunachal Pradesh, India
Figure 1. Fejervarya syhadrensis.
Figure 8. A. Scincus mitranus. B. Varanus griseus. C in Reptiles and Amphibians along the Coastal Area of the Eastern Province, Saudi Arabia
Figure 8. A. Scincus mitranus. B. Varanus griseus. C. Diplometopon zarudnyi.
Figure 1 in Reptiles and Amphibians along the Coastal Area of the Eastern Province, Saudi Arabia
Figure 1. Map of the study area showing studied sites.
Fig. 2 in A Collection Of Amphibians And Reptiles From Hilly Eastern Cambodia
Fig. 2. Eye of Leptobrachium mouhoti, new species, holotype male (FMNH 262756), in life.
Fig. 1 in A Collection Of Amphibians And Reptiles From Hilly Eastern Cambodia
Fig. 1. Map showing the collecting localities in this study.
ScienceDex guides
Understand access before you commit
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.