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.
158
datasets available to search
ShareScore release 0.9.0
Dataset results
158 results for “historical distribution”
TABLE 3 in Australia's deep-water octocoral fauna: historical account and checklist, distributions and regional affinities of recent collections
<p><b>TABLE 3.</b> Octocoral genera sampled in>5% of the 320 sampling stations, showing the number of sampling stations at which they were collected in total and by survey region and the depth range of the collections.</p><table><tbody><tr><th>Genus</th><th>Number of sampling stations</th><th>min. depth (m)</th><th>max. depth (m)</th><th>N Tasman</th><th>SE Australia</th><th>SW Australia</th><th>NW Australia</th></tr></tbody><tbody><tr><th><i>Acanthogorgia</i></th><td>35</td><td>81</td><td>1150</td><td>7</td><td>13</td><td>6</td><td>9</td></tr><tr><th><i>Anthomastus</i></th><td>41</td><td>230</td><td>1694</td><td>2</td><td>33</td><td>4</td><td>2</td></tr><tr><th><i>Anthothela</i></th><td>26</td><td>181</td><td>1525</td><td></td><td>19</td><td>6</td><td>1</td></tr><tr><th><i>Chironephthya</i></th><td>24</td><td>78</td><td>751</td><td>4</td><td></td><td>4</td><td>16</td></tr><tr><th><i>Chrysogorgia</i></th><td>66</td><td>124</td><td>2395</td><td>6</td><td>47</td><td>5</td><td>8</td></tr><tr><th><i>Corallium</i></th><td>19</td><td>311</td><td>2173</td><td>1</td><td>16</td><td>2</td><td></td></tr><tr><th><i>Dendronephthya</i></th><td>43</td><td>77</td><td>1081</td><td>3</td><td></td><td>11</td><td>29</td></tr><tr><th><i>Keratoisis</i></th><td>32</td><td>257</td><td>2898</td><td>8</td><td>24</td><td></td><td></td></tr><tr><th><i>Lepidisis</i></th><td>38</td><td>330</td><td>3950</td><td>15</td><td>21</td><td>1</td><td>1</td></tr><tr><th><i>Narella</i></th><td>37</td><td>440</td><td>2559</td><td>3</td><td>30</td><td>2</td><td>2</td></tr><tr><th><i>Pennatula</i></th><td>20</td><td>95</td><td>1273</td><td>12</td><td>1</td><td></td><td>7</td></tr><tr><th><i>Pleurogorgia</i></th><td>20</td><td>915</td><td>1525</td><td></td><td>20</td><td></td><td></td></tr><tr><th><i>Primnoisis</i></th><td>29</td><td>670</td><td>1511</td><td>1</td><td>28</td><td></td><td></td></tr><tr><th><i>Thouarella</i></th><td>37</td><td>342</td><td>1375</td><td>5</td><td>32</td><td></td><td></td></tr><tr><th><i>Tokoprymno</i></th><td>23</td><td>729</td><td>1694</td><td></td><td>23</td><td></td><td></td></tr></tbody></table>
Performance results from species distribution models considering historical occurrences and variables of varying persistency
<p>Occurrence data used to build species distribution models often include historical records from locations in which the species no longer exists. When these records are paired with contemporary environmental values that no longer represent the conditions the species experienced, the model creates false associations that hurt predictive performance. The extent of mismatching increases with the number of historical occurrences and with inclusion of environmental variables that are prone to change over time. Indeed, the mismatch between occurrence data and contemporaneous environmental variables is a common dilemma when modeling rare or cryptic species, especially those of conservation concern that were once more abundant. Herein, we assess (1) the impact of historical occurrences on model performance across three sets of environmental variables of increasing persistency, and (2) the performance of models built using selected-historical occurrences from locations that showed evidence of limited environmental change over time. Concepts are tested on federally listed flatwoods salamanders, reflecting real-world conservation management efforts. We predicted that, compared to other occurrence sets, (1) historical occurrences would perform best with environmental variables that were more persistent, (2) recent occurrences would perform best when the environmental variables were more impersistent, and that (3) our selected-historical occurrences would perform best with a combination of persistent and impersistent variables. Our results showed the expected inversion of model performance of recent and historical occurrences across environmental variables of increasing persistency when evaluated by correct predictions. However, the inversion was not seen in AUC performance, in which historical occurrences outperformed recent occurrence models across all variable sets. Selected-historical occurrences did not notably improve performance over all-historical occurrences in any metric or variable set. To maximize utility and performance, modelers could acknowledge potential tradeoffs from inclusion of historical occurrences and consider number and age of recent and historical occurrences available, the persistency of environmental variables considered, and how their conservation goals are reflected in model design and evaluation, particularly with respect to sensitivity vs. specificity. Our study lends support for inclusion of historical occurrences, with the potential exception of mostly impersistent variables when sensitivity is the highest priority.</p>
Supplementary material 2 from: Yang L, Huang M, Zhang R, Lv J, Ren Y, Jiang Z, Zhang W, Luan X (2016) Reconstructing the historical distribution of the Amur Leopard (Panthera pardus orientalis) in Northeast China based on historical records. ZooKeys 592: 143-153. https://doi.org/10.3897/zookeys.592.6912
Records in different periods from new gazetteers records :
Supplementary material 1 from: Yang L, Huang M, Zhang R, Lv J, Ren Y, Jiang Z, Zhang W, Luan X (2016) Reconstructing the historical distribution of the Amur Leopard (Panthera pardus orientalis) in Northeast China based on historical records. ZooKeys 592: 143-153. https://doi.org/10.3897/zookeys.592.6912
Distribution information from new gazetteers records and from other resources :
G in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
G. multilineatus, the type series of which was destroyed by fire in the Museu Bocage (Broadley 2007). Griffin (2003) reassessed and recognized the nomen G. auritus as a valid species (Bates et al. 2014) as did Broadley and Cotterill (2004) and Broadley (2007). According to Bates et al. (2013), G. auritus appears to be closely related to G. nigrolineatus, but they are morphologically distinguishable (Broadley 2007). MAP 187. Distribution of Gerrhosaurus auritus in Angola.
considered that it was present. Due to the lack of recent data and the limited information sup- plied by previous authors for Angolan specimens, the presence of L. viridis in Angola is questionable. MAP 74. Distribution of Leptopelis viridis in Angola. in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
considered that it was present. Due to the lack of recent data and the limited information sup- plied by previous authors for Angolan specimens, the presence of L. viridis in Angola is questionable. MAP 74. Distribution of Leptopelis viridis in Angola.
FIGURE 33. A in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
FIGURE 33. A specimen of Python sp. being butchered for human consumption in Bié, Bié Province (Photo by Manuel Botelho).
FIGURE 30 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
FIGURE 30. Conservation assessment for the different groups of Angolan amphibians and reptiles (excluding marine turtles) according to the current IUCN Red List classification. Black wedges indicate taxa not listed/recognized by IUCN.
FIGURE 17 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
FIGURE 17. Depiction of a crocodile from Cardonega's História Geral das Guerras Angolanas (Cardonega 1940–1942).
(Ceríaco et al. 2016a:27); "Espinheira" [-16.78886, 12.35761] (Ceríaco et al. 2016a:28). Taxonomic and distributional notes: Rhoptropus biporosus is closely allied to R. barnardi and one or more undescribed species of small-bodied congeners that occupy similar habitats in arid to semi-arid rocky areas bordering the Namib (Kuhn 2016). MAP 150. Distribution of Rhoptropus biporosus in Angola. in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
(Ceríaco et al. 2016a:27); "Espinheira" [-16.78886, 12.35761] (Ceríaco et al. 2016a:28). Taxonomic and distributional notes: Rhoptropus biporosus is closely allied to R. barnardi and one or more undescribed species of small-bodied congeners that occupy similar habitats in arid to semi-arid rocky areas bordering the Namib (Kuhn 2016). MAP 150. Distribution of Rhoptropus biporosus in Angola.
Norte Pronvice. Cabinda: "Chinchoxo" [-5.10000, 12.10000] (Peters 1877a:615; Bocage 1895a:81); "Cabinda" [-5.55000, 12.18333] (Frade 1963:252). Lunda Norte: "Dundo" [-7.36667, 20.83333] (Laurent 1954:43; Thys van den Audenaerde 1966:32). Taxonomic and distributional notes: Kelly et al. (2011) provided molecular phylogenetic data to support the inclusion of this taxon along with the B. fuliginosus complex within a monophyletic Boaedon, separate from Lamprophis sensu stricto. MAP 289. Distribution of Boaedon olivaceus in Angola. in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
Norte Pronvice. Cabinda: "Chinchoxo" [-5.10000, 12.10000] (Peters 1877a:615; Bocage 1895a:81); "Cabinda" [-5.55000, 12.18333] (Frade 1963:252). Lunda Norte: "Dundo" [-7.36667, 20.83333] (Laurent 1954:43; Thys van den Audenaerde 1966:32). Taxonomic and distributional notes: Kelly et al. (2011) provided molecular phylogenetic data to support the inclusion of this taxon along with the B. fuliginosus complex within a monophyletic Boaedon, separate from Lamprophis sensu stricto. MAP 289. Distribution of Boaedon olivaceus in Angola.
MAP 230 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 230. Distribution of Trachylepis spilogaster (circle) and T. aff. spilogaster (triangles) in Angola.
FIGURE 12 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
FIGURE 12. Angolan Miombo Woodlands in Cangandala National Park, Malanje Province (Photo by Luis Ceríaco).
FIGURE 10 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
FIGURE 10. Angolan Scarp Savanna and Woodland area near Condé, Kwanza Sul Province (Photo by Luis Ceríaco).
FIGURE 1 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
FIGURE 1. Map of Angola, showing the provinces and major towns and position of Angola on the African continent.
Supplementary material 1 from: Hrivnák R, Medvecká J, Baláži P, Bubíková K, Oťaheľová H, Svitok M (2019) Alien aquatic plants in Slovakia over 130 years: historical overview, current distribution and future perspectives. NeoBiota 49: 37-56. https://doi.org/10.3897/neobiota.49.34318
: Data type: references data
Figures 4–5 in The Tabanidae (Diptera) in Brazil: Historical aspects, diversity and distribution
Figures 4–5. Number of Brazilian species of Tabanidae: (4) per century of description; (5) per period of description.
Performance results from species distribution models considering historical occurrences and variables of varying persistency
Open the record for dataset details and reuse information.
MAP 373 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 373. Distribution of Limnophis bangweolicus in Angola.
MAP 285 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 285. Distribution of Atractaspis reticulata heterochilus in Angola.
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.