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.
431
datasets available to search
ShareScore release 0.9.0
Dataset results
431 results for “areas of endemism”
FIGURE 5 in Effect of cell size and thresholds in NDM/NVDM methods on recognizing areas of endemism
FIGURE 5. Consensus areas supported by taxa with non-sympatric distribution, cell size 1° x 1° cell. The different letter indicates the species' ei minimum value that supports the areas of endemism in each analysis. A: no definition of ei minimum, B: ei minimum = 1, C: ei minimum = 0.9, D: ei minimum = 0.8, E: ei minimum = 0.7 and F: ei minimum = 0. On each map, we display the corresponding final area number. For the list of taxa that support each area, see Table S3.
FIGURE 6 in Effect of cell size and thresholds in NDM/NVDM methods on recognizing areas of endemism
FIGURE 6. Consensus areas supported by taxa with non-sympatric distribution, cell size 0.5°x0.5° cell. The different letter indicates the species' minimum ei value that supports the areas of endemism in each analysis. A: no definition of ei minimum, B: ei minimum = 1, C: ei minimum = 0.9, D: ei minimum = 0.8, E: ei minimum = 0.7 and F: ei minimum = 0. On each map, we display the corresponding final area number. For the list of taxa that support each area, see Table S3.
FIGURE 4 in Effect of cell size and thresholds in NDM/NVDM methods on recognizing areas of endemism
FIGURE 4. Final endemism areas resulted from the six analyses varying the minimum ei with 0.25 ° x 0.25 ° cells. The different letter indicates the species' minimum value that supports the areas in each run. A: no definition of ei minimum, B: ei minimum = 1, C: ei minimum = 0.9, D: ei minimum = 0.8, E: ei minimum = 0.7 and F: ei minimum = 0. On each map, we display the corresponding final area number. For the list of taxa that support each area, see Table S1.
Distribution. Endemic to West Java Province, Indonesia, known only from two localities, Cibadak and Cibodas, in the Bogor area just S ofJakarta. in Molossidae
Distribution. Endemic to West Java Province, Indonesia, known only from two localities, Cibadak and Cibodas, in the Bogor area just S ofJakarta.
Distribution. Endemic to subtropical and tropical waters of the Atlantic Ocean in an area ranging from N USA to Brazil and from Ireland to Guinea-Bissau; its distribution may continue as far S as Uruguay in the W, and possibly as far S as Angola in the E. It is occasionally recorded stranding in temperate waters, but these may represent vagrant individuals. in Ziphiidae
Distribution. Endemic to subtropical and tropical waters of the Atlantic Ocean in an area ranging from N USA to Brazil and from Ireland to Guinea-Bissau; its distribution may continue as far S as Uruguay in the W, and possibly as far S as Angola in the E. It is occasionally recorded stranding in temperate waters, but these may represent vagrant individuals.
Distribution. Endemic to Tanzania, known only from six small remnant moist-forest patches in C coastal and extreme SE Tanzania (Litipo, Rondo, Ziwani, Pugu Hills/ Kazimzumbwi, and Zareninge), and the Pande Game Reserve; it is not known if it occurs in the intervening areas. in Galagidae
Distribution. Endemic to Tanzania, known only from six small remnant moist-forest patches in C coastal and extreme SE Tanzania (Litipo, Rondo, Ziwani, Pugu Hills/ Kazimzumbwi, and Zareninge), and the Pande Game Reserve; it is not known if it occurs in the intervening areas.
Distribution. Known only from the Konteh Area of the Sanetti Plateau in SC Ethiopia; it remains possible that this recently described species inhabits other parts of the plateau as well, although it is likely endemic to the Bale Mts. in Soricidae
Distribution. Known only from the Konteh Area of the Sanetti Plateau in SC Ethiopia; it remains possible that this recently described species inhabits other parts of the plateau as well, although it is likely endemic to the Bale Mts.
Distribution. Endemic to C & SE Sulawesi; known from various lowland and more mountainous regions, including Mt Rorekatimbo, Mt Gandangdewata, Mt Balease, and Mt Nokilalaki. Together with the Elongated White-toothed Shrew (C. elongata) this is the only wild shrew occurring on the SE peninsula, but lack of adequate sampling in most pristine areas of S Sulawesi hinders precise biogeographical inferences. in Soricidae
Distribution. Endemic to C & SE Sulawesi; known from various lowland and more mountainous regions, including Mt Rorekatimbo, Mt Gandangdewata, Mt Balease, and Mt Nokilalaki. Together with the Elongated White-toothed Shrew (C. elongata) this is the only wild shrew occurring on the SE peninsula, but lack of adequate sampling in most pristine areas of S Sulawesi hinders precise biogeographical inferences.
Imunnesenescence of antibody repertoire in individuals from endemic areas for infectious diseases
<p>Heavy Chain Antibody Repertoire data in the AIRR format, clonotyped with YClon, of patients diagnosed with COVID-19 and a control group. The sample labels in the paper and the sample labels in this repository are correspondent according to the following table:</p> <table> <tbody> <tr> <td>Sample</td> <td>Deposite_code</td> </tr> <tr> <td>C_01</td> <td>A04</td> </tr> <tr> <td>C_02</td> <td>A20</td> </tr> <tr> <td>C_03</td> <td>A24</td> </tr> <tr> <td>C_04</td> <td>A65</td> </tr> <tr> <td>C_05</td> <td>A66</td> </tr> <tr> <td>C_06</td> <td>A67</td> </tr> <tr> <td>H_NEA_01</td> <td>ID141</td> </tr> <tr> <td>H_NEA_02</td> <td>ID143</td> </tr> <tr> <td>H_NEA_03</td> <td>ID144</td> </tr> <tr> <td>H_NEA_04</td> <td>ID187</td> </tr> <tr> <td>H_NEA_05</td> <td>ID195</td> </tr> <tr> <td>H_NEA_06</td> <td>ID226</td> </tr> <tr> <td>H_NEA_07</td> <td>ID248</td> </tr> <tr> <td>H_NEA_08</td> <td>ID268</td> </tr> <tr> <td>H_NEA_09</td> <td>ID310</td> </tr> <tr> <td>H_NEA_10</td> <td>ID375</td> </tr> <tr> <td>M_EA_01</td> <td>GV43</td> </tr> <tr> <td>M_EA_02</td> <td>GV68</td> </tr> <tr> <td>M_EA_03</td> <td>GV106</td> </tr> <tr> <td>M_EA_04</td> <td>GV144</td> </tr> <tr> <td>M_EA_05</td> <td>GV146</td> </tr> <tr> <td>M_EA_06</td> <td>GV47</td> </tr> <tr> <td>M_EA_07</td> <td>GV50</td> </tr> <tr> <td>M_EA_08</td> <td>GV51</td> </tr> <tr> <td>M_EA_09</td> <td>GV54</td> </tr> <tr> <td>M_EA_10</td> <td>GV92</td> </tr> <tr> <td>M_NEA_01</td> <td>ID094</td> </tr> <tr> <td>M_NEA_02</td> <td>ID117</td> </tr> <tr> <td>M_NEA_03</td> <td>ID124</td> </tr> <tr> <td>M_NEA_04</td> <td>ID131</td> </tr> <tr> <td>M_NEA_05</td> <td>ID132</td> </tr> <tr> <td>M_NEA_06</td> <td>ID155</td> </tr> <tr> <td>M_NEA_07</td> <td>ID240</td> </tr> <tr> <td>M_NEA_08</td> <td>ID244</td> </tr> </tbody> </table>
FIGURE 6 in Primary hypotheses of global areas of endemism based on the distribution of Tabanomorpha (Diptera, Brachycera)
FIGURE 6. Areas of endemism recovered in the Oriental and Australian regions by the consensus of the endemicity analysis of Tabanomorpha.
FIGURE 5 in Primary hypotheses of global areas of endemism based on the distribution of Tabanomorpha (Diptera, Brachycera)
FIGURE 5. Areas of endemism recovered in the African and European regions bY the consensus of the endemicitY analYsis of Tabanomorpha.
FIGURE 4 in Primary hypotheses of global areas of endemism based on the distribution of Tabanomorpha (Diptera, Brachycera)
FIGURE 4. Areas of endemism recovered in the Nearctic region bY the consensus of the endemicitY analYsis of Tabanomorpha.
FIGURE 2 in Primary hypotheses of global areas of endemism based on the distribution of Tabanomorpha (Diptera, Brachycera)
FIGURE 2. Relationship among relative number of consensus areas and increasing consensus cut-off values (10% to 100%) in each grid siZe. Also shoWn is the curve fitted for a grid siZe of 7° data. The black dot in the curve corresponds to 31%, the percentage of similaritY of species used to calculate the consensus areas.
FIGURE 3 in Primary hypotheses of global areas of endemism based on the distribution of Tabanomorpha (Diptera, Brachycera)
FIGURE 3. The area of endemism recovered in the Neotropical region bY the consensus of the endemicitY analYsis of Tabanomorpha did not distinguish the regions Within Neotropics.
FIGURE 1 in Primary hypotheses of global areas of endemism based on the distribution of Tabanomorpha (Diptera, Brachycera)
FIGURE 1. Logistic curve for the exponential groWth rate of the relative number of areas against their respective grid siZe. The saturation point is the value corresponding to less than 5% of the maximum asYmptote.
FIGURE 3 in Three new species of Holoscolex (Clitellata, Glossoscolecidae) from the Gurupi Biological Reserve, last forest remnant of the Belém Endemism Area, Eastern Amazon
FIGURE 3. Holoscolex alatus sp. nov. (holotype). A. Ventral view of anterior region. B. Common seta on right A line of XXX. C. Genital seta on right A line of XXII. D. Dorsal view of right calciferous glands. G, glandular region; M, membranous region. E. Frontal view of left post-clitellar nephridium. np, nephropore; npt, nephrostome; V, nepridium vesicle; Nm, Nematoda; Bd, bladder. F. Dorsal view of right spermatheca of VIII.
FIGURE 5 in Three new species of Holoscolex (Clitellata, Glossoscolecidae) from the Gurupi Biological Reserve, last forest remnant of the Belém Endemism Area, Eastern Amazon
FIGURE 5. Different arrangements of atrial glands of Holoscolex fernandoi, schematic. AG, atrial glands.
FIGURE 1 in Three new species of Holoscolex (Clitellata, Glossoscolecidae) from the Gurupi Biological Reserve, last forest remnant of the Belém Endemism Area, Eastern Amazon
FIGURE 1. Localization of sampling site within Belém Endemism Area and Gurupi Biological Reserve in Maranhão state, Brazil.
FIGURE 4 in Three new species of Holoscolex (Clitellata, Glossoscolecidae) from the Gurupi Biological Reserve, last forest remnant of the Belém Endemism Area, Eastern Amazon
FIGURE 4. Holoscolex fernandoi sp. nov. (holotype). A. Latero-ventral view of anterior region. a, A setae; b, B setae; c, C setae. B. Genital seta of papillae on right A line of XX. C. Common seta on right A line of XXX. D. Dorsal view of right calciferous gland. BV, blood vessel; G, glandular region; M, membranous region. E. Dorsal view of right spermathecae of VII and VIII. F. Lateral view of left post-clitellar nephidium. np, nephropore; npt, nephrostome; V, nepridium vesicle; Bd, bladder. G. Dorsal view of a left common atrial gland of XIX.
FIGURE 2 in Three new species of Holoscolex (Clitellata, Glossoscolecidae) from the Gurupi Biological Reserve, last forest remnant of the Belém Endemism Area, Eastern Amazon
FIGURE 2. Holoscolex dossantosi sp. nov. (holotype). A. Ventral view of clitellar region. B. Genital setae of right papilla on A line of XVIII. C. Common seta of right A line of XXX. D. Dorsal view of right calciferous gland. BV, blood vessel; G, glandular region; M, membranous region. E. Frontal view of right post-clitellar nephridium. np, nephropore; npt, nephrostome; V, nepridium vesicle; Bd, bladder. F. Dorsal view of right spermatheca of VIII.
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.