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.
111
datasets available to search
ShareScore release 0.9.0
Dataset results
111 results for “Bioregionalization”
Model outputs for update of occurrence and hunting yield-based data models for wild boar at European scale: new approach to handle the bioregion effect, May 2020 update
<p>These maps are models obtained in intermediate phases of the ENETWILD project based on available information. There are frequent updates in order to improve the results.<br> <br> Objectives:<br> <br> - Incorporate additional data to provide new maps of wild boar suitability with a resolution of 2x2 km >>> file 3_June_2020_suitability_2x2.tif<br> - New model based on hunting yield with different approaches to handle the biorregion effect >>> files 1_June_2020_HY_nut01_10x10_twostep.tif & 2_June_2020_HY_nut01_10x10_pca.tif<br> <br> Model settings and predictors: <br> - Hunting yield modeling including biorregion effect as bioclimatic PCA scores<br> - Hunting yield addressing biorregion effect in a two-step procedure with independent parametrization for each bioregion<br> <br> Conclusions guiding future methodological steps:<br> - For wild boar suitability maps at 2x2 km, additional data on survey effort is critical in the southern bioregion<br> - Hunting yield model predictions at 10x10 km grids overestimated the hunting bag numbers obtained from the external datasets<br> - HY model with independent parametrization for each bioregion performed better that previous and new strategies<br> <br> For further details and methodological approach see the paper:<br> ENETWILD-consortium, P. Acevedo, S .Croft, G C Smith, J. A. Blanco-Aguiar, J. Fernandez-Lopez, M. Scandura, M. Apollonio, E.Ferroglio, Oliver Keuling, M. Sange, S. Zanet, F. Brivio, T. Podgórski, K.Petrović, Soriguer, J. Vicente (2020) update of occurrence and hunting yield-based data models for wild boar at European scale: new approach to handle the bioregion effect. EFSA supporting publication 2020 TO BE COMPLETED<br> <br> Permission for reuse hunting yield outputs is granted under the terms indicated by EFSA.</p>
Data from: Data-driven bioregionalization: A seascape-scale study of macrobenthic communities in the Eurasian Arctic
<p><b>Aim: </b>We conduct the first model-based assessment of the biogeographical subdivision of Eurasian Arctic seas to (1) delineate spatial distribution and boundaries of macrobenthic communities on a seascape level; (2) assess the significance of environmental drivers of macrobenthic community structures; (3) compare our modelling results to historical biogeographical classifications; and (4) couple the model to climate-change scenarios of environmental changes to project potential shifts in the distribution and composition of macrobenthic communities by 2100.</p> <p><b>Location: </b>Eurasian Arctic seas, in particular Barents, Kara, and Laptev Seas</p> <p><b>Taxon: </b>Macrobenthic fauna</p> <p><b>Methods: </b>We employed the Region of Common Profile (RCP) approach to assess the regionalization patterns of Eurasian Arctic seafloor communities.</p> <p><b>Results: </b>Four RCPs were identified based on the spatial distribution patterns of 169 macrobenthic species and a set of environmental factors, such as sediment composition, sea-ice concentration, depth of the euphotic zone, particulate organic carbon concentration at the ocean surface, as well as near-bottom water temperature and salinity. The identified regions are in strong agreement with previous classifications of macrobenthic communities. The projections are driven by climate-change scenario "Representative Concentration Pathway 6.0" suggested a general eastward shift of the RCPs over the 21st century, correlated to retreating sea-ice and increasing sea-bottom temperature.</p> <p><b>Main conclusions:</b> The RCP approach allowed us to identify seascape-scale distribution patterns of macrobenthic communities in Eurasian Arctic seas by simultaneously considering biotic and environmental data within one modelling step. This technique can represent biota and ecoregions in a probabilistic form together with assessment of uncertainties of the predictions, and assess the significance of a broad selection of environmental drivers. This first quantitative assessment of potential climate-driven changes in macrobenthic biodiversity will promote their inclusion in conservation measures.</p>
Linked collectors and determiners for: Revisionary systematics of the endemic soft coral fauna (Octocorallia: Alcyonacea: Alcyoniina) of the Agulhas Bioregion, South Africa.
Natural history specimen data linked to collectors and determiners held within, "Revisionary systematics of the endemic soft coral fauna (Octocorallia: Alcyonacea: Alcyoniina) of the Agulhas Bioregion, South Africa". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/a141fa76-cc88-4901-944a-306171e41413">https://bionomia.net/dataset/a141fa76-cc88-4901-944a-306171e41413</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/a141fa76-cc88-4901-944a-306171e41413">https://gbif.org/dataset/a141fa76-cc88-4901-944a-306171e41413</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Molecular and morphological characterisation of new species in the trapdoor spider genus Aname (Araneae: Mygalomorphae: Nemesiidae) from the Pilbara bioregion of Western Australia.
Natural history specimen data linked to collectors and determiners held within, "Molecular and morphological characterisation of new species in the trapdoor spider genus Aname (Araneae: Mygalomorphae: Nemesiidae) from the Pilbara bioregion of Western Australia". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/9c5ef083-2e21-4b86-b2df-f62e8a57edaa">https://bionomia.net/dataset/9c5ef083-2e21-4b86-b2df-f62e8a57edaa</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/9c5ef083-2e21-4b86-b2df-f62e8a57edaa">https://gbif.org/dataset/9c5ef083-2e21-4b86-b2df-f62e8a57edaa</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: The millipede genus Antichiropus (Diplopoda: Polydesmida: Paradoxosomatidae), part 3: species of the Pilbara bioregion of Western Australia.
Natural history specimen data linked to collectors and determiners held within, "The millipede genus Antichiropus (Diplopoda: Polydesmida: Paradoxosomatidae), part 3: species of the Pilbara bioregion of Western Australia". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/3b74fc4d-1008-4903-90df-59d68431dee1">https://bionomia.net/dataset/3b74fc4d-1008-4903-90df-59d68431dee1</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/3b74fc4d-1008-4903-90df-59d68431dee1">https://gbif.org/dataset/3b74fc4d-1008-4903-90df-59d68431dee1</a>. Formatted as a Frictionless Data package.
Functional beta diversity of New Zealand fishes: characterising morphological turnover along depth and latitude gradients, with derivation of functional bioregions
<p>Changes in the functional structures of communities are rarely examined along multiple large-scale environmental gradients. Here, we describe patterns in functional beta diversity for New Zealand marine fishes <i>vs</i> depth and latitude, including broad-scale delineation of functional bioregions. We derived eight functional traits related to food acquisition and locomotion and calculated complementary indices of functional beta diversity for 144 species of marine ray-finned fishes occurring along large-scale depth (50 - 1200 m) and latitudinal gradients (29° - 51° S) in the New Zealand Exclusive Economic Zone. We focused on a suite of morphological traits calculated directly from <i>in situ</i> Baited Remote Underwater Stereo-Video (stereo-BRUV) footage and museum specimens. We found that functional changes were primarily structured by depth followed by latitude, and that latitudinal functional turnover decreased with increasing depth. Functional turnover among cells increased with increasing depth distance, but this relationship plateaued for greater depth distances (> 750 m). In contrast, functional turnover did not change significantly with increasing latitudinal distance at 700 - 1200 m depths. Shallow functional bioregions (50 - 100 m) were distinct at different latitudes, whereas deeper bioregions extended across broad latitudinal ranges. Fishes in shallow depths had a body shape conducive to efficient propulsion, while fishes in deeper depths were more elongated, enabling slow, energy-efficient locomotion, and had large eyes to enhance vision. Environmental filtering may be a primary driver of broad-scale patterns of functional beta diversity in the deep sea. Greater environmental homogeneity may lead to greater functional homogeneity across latitudinal gradients at deeper depths (700 - 1200 m). We suggest that communities living at depth may follow a 'functional village hypothesis', whereby similar key functional niches in fish communities may be maintained over large spatial scales.</p>
Data from: Data-driven bioregionalization: A seascape-scale study of macrobenthic communities in the Eurasian Arctic
Open the record for dataset details and reuse information.
Functional beta diversity of New Zealand fishes: characterising morphological turnover along depth and latitude gradients, with derivation of functional bioregions
Open the record for dataset details and reuse information.
Data from: Validating marine Devonian biogeography: a study in bioregionalization
<p>The Devonian record presents an opportunity to test and validate an existing marine bioregionalisation. This study is the first to use comparative biogeography and phylogenetic data to test Devonian bioregionalisation. Proposed in the 1960's the Old World, Eastern Americas, and Malvinokaffric realms have been the functional standard within marine Devonian Biogeography. Data from 32 published phylogenies of Devonian marine taxa and a database of c.800 occurrences were analysed using phylogenetic software to test for area monophyly. The taxic occurrences within the current database were then tested against total fauna Devonian occurrences with the Palaeobiology Database to indicate differences in sampling. Results indicate that the current Devonian bioregionalisation is not representative of natural areas and requires revision. The result highlights areas that are most robust from which the study makes recommendations to improve the process and diagnosis of Devonian biogeographic areas. We found that legacy issues within palaeontology are evident within the results and their interpretation. The validation of bioregionalisation and process is critical to the advancement of biogeography and palaeontology. The sensitivity of bioregionalisation shows biotic and geographical relationships, how life and earth evolved together, and how geographic bias is evident in scientific process.</p>
Data from: Geographic and climatic constraints on bioregionalization of European ants
<p><strong><span>Aim</span></strong><span>: Biogeographic regionalization is scant for most insect groups due to shortfalls in distribution and phylogenetic information, namely the Wallacean and Darwinian shortfalls respectively. Here, we focused on the European ants and compared new techniques to classical analyses based on regional lists and taxonomic methods. We asked the following: 1) Can grid-based regionalizations using novel distribution data improve biogeographic transitions? and 2) Can phylogenetic approaches reveal new insights regarding ant evolutionary history?</span></p> <p><strong><span>Location</span></strong><span>: Europe and Anatolia.</span></p> <p><strong><span>Taxon</span></strong><span>: Ants (Formicidae).</span></p> <p><strong><span>Methods</span></strong><span>: First, we developed a refined database integrating the occurrences of 747 ant species across 207 regions of Europe and Anatolia, based on newly expert-validated records derived from the existing Global Ant Biodiversity Informatics (GABI) database. Using range estimates for these species derived from polygons and species distribution modelling, we produced species assemblages in 50 × 50 km grid cells. We calculated taxonomic and phylogenetic turnover of ant assemblages, then performed a hierarchical clustering procedure to delineate biogeographic structure.</span></p> <p><strong><span>Results</span></strong><span>: At both the regional list- and grid assemblage-levels, the Mediterranean has higher turnover and more biogeographic regions than northern Europe, both taxonomically and phylogenetically. Delineations based on grid assemblages detected more detailed biogeographic transitions, while those based on regional lists showed stronger insularity in biogeographic structure. The phylogenetic regionalization suggested a very similar spatial structure but varied affinities between assemblages in comparison to the taxonomic approach.</span></p> <p><strong><span>Main conclusions</span></strong><span>: Here, we integrated expert-validated regional lists, species distribution modelling, and a recent phylogeny to tackle Wallacean and Darwinian shortfalls for an important insect group by developing a next-generation map of biogeographic regionalization for European ants. The results of this study suggest strong constraints from geographic barriers and potential effects of climatic history on ant distributions and evolutionary history and also provide baseline spatial information for future investigations of regional insect distributions.</span></p>
Data from: Validating marine Devonian biogeography: a study in bioregionalization
Open the record for dataset details and reuse information.
Data from: Geographic and climatic constraints on bioregionalization of European ants
Open the record for dataset details and reuse information.
Occurrences of annual killifish (Rivulidae) in different bioregionalizations across the Neotropical domain
Open the record for dataset details and reuse information.
Data from: Phylogeography of the Australian freshwater turtle Chelodina expansa reveals complex relationships among inland and coastal bioregions
We examined range-wide mitochondrial phylogeographic structure in the riverine freshwater turtle Chelodina expansa to determine if this species exhibits deep genetic divergence between coastal and inland hydrological provinces as seen in co-distributed freshwater taxa. We sequenced two mitochondrial loci, genealogical relationships were assessed using a network approach, and relationships among biogeographic regions were tested using analyses of molecular variance. Population history was evaluated using neutrality tests, indices of demographic expansion, and mismatch analyses. Twenty one haplotypes were recovered across two mitochondrial haplogroups separated by ca 4% nucleotide divergence. The haplogroups have discrete geographic boundaries but only partially support a hypothesis of deep divergence between coastal and inland bioregions. The first haplogroup comprises populations from the inland Murray-Darling Basin and from coastal catchments south of the Mary River in southeast Queensland. The second haplogroup comprises populations from coastal catchments north of the Mary River. Cryptic phylogeographic barriers separating adjacent coastal populations are congruent with those demonstrated for other freshwater taxa and may result from the combined influences of the Conondale Range and alluvial deposits at the mouth of the Mary River. Our study demonstrates that freshwater taxa commonly display genetic differentiation within a biogeographic region where no boundaries have been recognised, highlighting the need to uncover cryptic microbiogeographic regions to aid conservation of freshwater biota.
FIGURES 6–13 in Riekophlebia crocina, a new genus and species of Atalophlebiinae (Ephemeroptera: Leptophlebiidae) from the Wet Tropics bioregion of north-eastern Australia
FIGURES 6–13. Riekophlebia crocina. Nymph: (6) labrum and clypeus; (7) right mandible; (8) maxilla, ventral view; (9) hypopharynx; (10) labium, dorsal view left of midline and ventral view right of midline; (11) segment 3 of labial palp, dorsal view; (12) foreleg; (13) abdominal gill.
FIGURES 1–5 in Riekophlebia crocina, a new genus and species of Atalophlebiinae (Ephemeroptera: Leptophlebiidae) from the Wet Tropics bioregion of north-eastern Australia
FIGURES 1–5. Riekophlebia crocina. Male imago: (1) wings; (2) hind wing; (3) abdominal terga 3–5; (4) penes and claspers, ventral view. Female imago: (5) ninth abdominal sternum.
FIGURES 43–51. Aname marae n in Molecular and morphological characterisation of new species in the trapdoor spider genus Aname (Araneae: Mygalomorphae: Nemesiidae) from the Pilbara bioregion of Western Australia
FIGURES 43–51. Aname marae n. sp., holotype male (WAM T98424): 43, carapace, dorsal view; 44, abdomen, dorsal view; 45, cephalothorax, ventral view; 46, eye group; 47, maxillae, labium and anterior region of sternum, ventral view; 48, left leg I, retrolateral view; 49, left tibia and metatarsus I, retrolateral view; 50, left pedipalpal tibia and tarsus, ventral view; 51, same, retrolateral view.
FIGURES 34–42. Aname ellenae n in Molecular and morphological characterisation of new species in the trapdoor spider genus Aname (Araneae: Mygalomorphae: Nemesiidae) from the Pilbara bioregion of Western Australia
FIGURES 34–42. Aname ellenae n. sp., holotype male (WAM T98890): 34, carapace, dorsal view; 35, abdomen, dorsal view; 36, cephalothorax, ventral view; 37, eye group; 38, maxillae, labium and anterior region of sternum, ventral view; 39, left leg I, retrolateral view; 40, left tibia and metatarsus I, retrolateral view; 41, left pedipalpal tibia and tarsus, ventral view; 42, same, retrolateral view.
FIGURES 25–33. Aname aragog n in Molecular and morphological characterisation of new species in the trapdoor spider genus Aname (Araneae: Mygalomorphae: Nemesiidae) from the Pilbara bioregion of Western Australia
FIGURES 25–33. Aname aragog n. sp., holotype male (WAM T95404): 25, carapace, dorsal view; 26, abdomen, dorsal view; 27, cephalothorax, ventral view; 28, eye group; 29, maxillae, labium and anterior region of sternum, ventral view; 30, left leg I, retrolateral view; 31, left tibia and metatarsus I, retrolateral view; 32, left pedipalpal tibia and tarsus, retrolateral view; 33, same, ventral view.
FIGURES 21–24. Aname mellosa n in Molecular and morphological characterisation of new species in the trapdoor spider genus Aname (Araneae: Mygalomorphae: Nemesiidae) from the Pilbara bioregion of Western Australia
FIGURES 21–24. Aname mellosa n. sp., females: 21, dorsal view (WAM T96145); 22, maxillae, labium and anterior region of sternum, ventral view (WAM T96145); 23, genitalia, dorsal view (WAM T101163); 24, genitalia, dorsal view (WAM T102911).
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.