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.
137
datasets available to search
ShareScore release 0.9.0
Dataset results
137 results for “worldwide distribution”
Species Distribution Modeling of Carnivorous Plants Worldwide
Forecasting how carnivorous plant species will respond to climatic change is a key issue in their conservation and management but presents a number of challenges. These challenges derive from interactions between the relatively simplistic statistical methods typically used to forecast species responses to climatic change, which to date have been limited mainly to species distribution models (“SDMs) and particular aspects of the ecology of carnivorous plants, including their rarity, habitat specialization, and limited dispersal ability. The small ranges and oftentimes low local abundance of carnivorous plants provide few occurrence records, which increase the potential for poorly or over-fitted SDMs and misspecification of relationships with their “optimal” environments. The unique habitats in which carnivorous plants often grow also are difficult to characterize using the basic temperature and precipitation data that often undergird SDMs. Rather, habitats in which carnivorous plants are common often are decoupled from broader climatic patterns (e.g., many retain high soil moisture even during seasonal drought) and may be associated with frequent disturbance. Last, dispersal limitation also may constrain range shifts of carnivorous plants as the climate changes. These three issues raise two related questions that are critical for understanding and forecasting the future of carnivorous plants. First, to what extent are current carnivorous plants distributions constrained by climate; and second, how readily, if at all, might carnivorous plants disperse to colonize new habitat as it becomes climatically suitable? We estimated the vulnerability of carnivorous plants to climatic change in light of challenges identified with SDMs in general and their particular application to these unique species. We combined two approaches: “ensembles of small models”, which attempt to deal with the challenges of fitting SDMs for data-limited species; and “bioclimatic velocity”, which is
GLOBAL SNAPSHOT Physician Distribution and Density of Physicians per 1000 population - Worldwide 2021
<p>The chart presents the most up-to-date data (2021) available for 49 of the world’s 195 countries, focusing on the total number of physicians and the number of physicians per 1000 population(1). The countries are categorized into four income groups based on World Bank classifications, which are updated annually on July 1st each year(2).</p> <p>Only 25% of the countries present current data. This information is critical for decision-making for healthcare planning and policy development. Equally crucial, is for researchers to have comparable data to propose initiatives, to establish benchmarks and for crafting holistic strategies to gauge and advance progress in healthcare systems globally.</p> <p>Data sources: UnData <a href="https://data.un.org/">https://data.un.org/</a></p> <p>Visualization tools used: RAWGraphs <a href="https://www.rawgraphs.io/">https://www.rawgraphs.io/</a>, MS PowerPoint and Microsoft Excel</p> <p>Intended Audience: Academics and Researchers; Students and Educators; Healthcare Administrators and Policy Makers; Non-Governmental Organizations</p> <p>The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.</p> <p>The NNLM Data Visualization Challenge happens through work funded by the National Institutes of Health's National Library of Medicine, grant number U24LM013751</p> <p> </p> <p>References:</p> <p>1. United Nations, Department of Economic and Social Affairs. 10 Health Personnel. In: Statistical Yearbook. 66th issue (2023). New York: United Nations; 2023. (ST/ESA/STAT/SER.S/42). [Dataset available at UnData] <a href="https://data.un.org/_Docs/SYB/CSV/SYB66_154_202310_Health%20Personnel.csv">https://data.un.org/_Docs/SYB/CSV/SYB66_154_202310_Health%20Personnel.csv</a></p> <p>2 World Bank. World Bank Country and Lending Groups. World Bank Data Help Desk [Internet]. [cited 2024 Apr 5]. Available from:<a href="https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups"> https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups</a></p>
Figures 9–17 in Gelidiella papillosa sp. nov. (Gelidiellaceae, Rhodophyta) from Veracruz, Mexico, in the context of the worldwide distribution of G. acerosa
Figures 9–17: Gelidiella papillosa sp. nov. (9) UAMIZ-1438. Detail of main axis and branchlets showing darkened tips. Scale bar = 3 mm. (10) UAMIZ-1433. Fresh specimen showing detail of basal region of main axis with papillose bumps (arrows). Inset, enlargement of a bump. Scale bar = 1.5 mm. (11) UAMIZ-1432. Cross section of basal portion of main axis showing a papilla with depressed apex (arrow). Scale bar = 130 µm. (12) UAMIZ-1436. Cross section of basal portion of main axis showing development of papilla without evident apical cell, with blunt apex. Scale bar = 66 μm. (13) UAMIZ-1437. Cross section of main axis showing outer cortical cells (arrowheads), inner cortical cells (blue arrows) and medullary cells (black arrows). Scale bar = 15 µm. (14) UAMIZ-1433. Detail of fertile branch showing swollen stichidia at apices of branchlets (arrows). Scale bar = 1 mm. (15) UAMIZ-1432. Cross section through middle portion of fertile branchlet showing arrangement of tetrasporangia (arrows). Scale bar = 110 µm. (16) UAMIZ-1433. Cross section of fertile branchlet showing immature tetrasporangia arising from inner cortical cells (arrows) and premature development of tetrasporangia (arrowheads). Scale bar = 30 µm. (17) UAMIZ-1432. Cross section through middle portion of fertile branchlet showing mature tetrasporangia. Scale bar = 30 µm.
Figures 3–8 in Gelidiella papillosa sp. nov. (Gelidiellaceae, Rhodophyta) from Veracruz, Mexico, in the context of the worldwide distribution of G. acerosa
Figures 3–8: Gelidiella papillosa sp. nov. (3) Holotype specimen, tetrasporic plant. UAMIZ-1432. Scale bar = 1 cm. (4) UAMIZ-1435. Fresh specimen of tetrasporic plant showing general appearance of the thallus. Scale bar = 5 mm. (5) UAMIZ-1437. Vegetative plant showing branching pattern in erect axes arising from a decumbent stolon. Scale bar = 1 cm. (6) UAMIZ-1437. Cross section through middle part of an erect axis. Scale bar = 130 µm. (7) UAMIZ-1432. Tip of branchlet showing numerous superficial cortical hairs (arrows). Scale bar = 700 µm. (8) UAMIZ-1432. Detail of young branchlet showing apical cell (arrow). Scale bar = 200 µm.
Figure 2 in Gelidiella papillosa sp. nov. (Gelidiellaceae, Rhodophyta) from Veracruz, Mexico, in the context of the worldwide distribution of G. acerosa
Figure 2: Bayesian inference (BI) topology based on rbcL sequence data. BI values (left) followed by maximum likelihood (ML) bootstrap (right) on branches. Asterisks indicate full support (ML = 100 %, BI = 1.0 %), hyphens indicate values below 70 %. Vertical bars on right indicate results of three species delimitation methods: automatic barcoding gap detection (ABGD), the Bayesian variant of Poisson trees processes model (bPTP)and the general-mixed-Yule-coalescent (GMYC). SCI and SCII indicate the two subclades (subclade I and subclade II), G1-G6 indicates the genetic groups within Gelidiella acerosa. Sequences generated in this study are in bold type. S.P.S. = substitutions per site.
Figure 1 in Gelidiella papillosa sp. nov. (Gelidiellaceae, Rhodophyta) from Veracruz, Mexico, in the context of the worldwide distribution of G. acerosa
Figure 1: Bayesian inference (BI) topology based on COI-5P sequence data. BI values (left) followed by maximum likelihood (ML) bootstrap (right) on branches. Asterisks indicate full support (ML = 100 %, BI = 1.0 %), hyphens indicate values below 70 %. Vertical bars on right indicate results of three species delimitation methods: automatic barcoding gap detection (ABGD), the Bayesian variant of Poisson trees processes model (bPTP) and the general-mixed-Yule-coalescent (GMYC). SCI and SCII indicate two subclades (subclade I and subclade II), G1-G6 indicates genetic groups within Gelidiella acerosa. Sequences generated in this study are in bold type. S.P.S. = substitutions per site.
Fig. 5 in Worldwide distribution of the modiomorphid bivalve genus Caspiconcha in late Mesozoic hydrocarbon seeps
Fig. 5 Lectotype of modiomorphid bivalve Caspiconcha major (Gabb, 1869) MCZ 108539 from east of Knoxville, California, USA, Lower Cretaceous. The pairs A and B, C and D, and E and F are the same views, respectively with and without morphological interpretations. A, B. Left valve. C, D. Right valve. The shell of the specimen is missing forward of the anterior adductor muscle scar, leaving an internal mould. E, F. Dorsal view. G. Detail of ligament area of left valve. White arrowheads point to the anterior.
Fig. 4 in Worldwide distribution of the modiomorphid bivalve genus Caspiconcha in late Mesozoic hydrocarbon seeps
Fig. 4. Shell microstructure of modiomorphid bivalve Caspiconcha major (Gabb, 1869) CAS 72527−9 from Eagle Creek, California, USA, Upper Barremian (Lower Cretaceous). External shell surface upwards in all figures. A.Vertical cross section through shell in the pallial region; see Fig. 3B for location. B. Demarcation between middle (cross lamellar) and inner (complex cross lamellar) layers. C. Outer layer homogeneous structure. D. Lower part of inner layer, note diagenetic alteration at base.
Fig. 1. Locality map and outcrop photographs. A in Worldwide distribution of the modiomorphid bivalve genus Caspiconcha in late Mesozoic hydrocarbon seeps
Fig. 1. Locality map and outcrop photographs. A. Locality map of the Utagoesawa Creek site, Hatonosu, Yubari City, Hokkaido, Japan. Also shown is the location of the Omagari seep site. Solid pattern is the outcrop area of the Cretaceous Yezo Group strata. B. Outcrop photograph of an Utagoesawa Creek carbonate body showing large Caspiconcha sp. and/or probable lucinid bivalve fossils. C. Locality map of hydrocarbon seeps in California. Subpanel shows locality map of the Eagle Creek site, Ono, California, USA. Solid circle with number indicates Caspiconcha bearing sites. 1, Eagle Creek; 2, Cold Fork of Cottonwood Creek; 3, Paskenta; 4, Bear Creek; 5, Wilbur Springs; 6, east of Knoxville (exact place is unknown); +
Fig. 12. Modiomorphid bivalve Myoconcha americana Stanton, 1895 in Worldwide distribution of the modiomorphid bivalve genus Caspiconcha in late Mesozoic hydrocarbon seeps
Fig. 12. Modiomorphid bivalve Myoconcha americana Stanton, 1895 (USNM 23042), right valve. A. External view. B. Dorsal view. C. Detail of the hinge area showing a possible tooth. D. Detail of shell surface ornamentation. Growth lines show rectoangular shape of shell. Black arrowheads point to faint radiaxial ribs mostly obscured by the glue in this image. White arrowheads point to the anterior.
Fig. 10 in Worldwide distribution of the modiomorphid bivalve genus Caspiconcha in late Mesozoic hydrocarbon seeps
Fig. 10. Modiomorphid bivalve Caspiconcha major (Gabb, 1869) from east of Berryessa (A and D), Cold Fork of Cottonwood Creek (B and E), and Wilbur Springs (C), all California, USA. A. Right valve of large specimen CAS 72535 with missing posterior area, right valve (A1), dorsal view (A2). B. Right valve of small specimen UCMP 10226. C. Internal mould of right valve of small specimen CAS 72537; see Fig. 9G for cast. D. Articulated specimen internal mould with missing posterior margin CAS 72536, left valve (D1), dorsal view (D2). See Fig. 9I for casts. E. Articulated small specimen internal mould UCMP 10225, right (E1) and left (E2) valves, dorsal view (E3). See Fig. 9A for cast. White arrowheads point to the anterior.
Fig. 3 in Worldwide distribution of the modiomorphid bivalve genus Caspiconcha in late Mesozoic hydrocarbon seeps
Fig. 3. Modiomorphid bivalve Caspiconcha major (Gabb, 1869) CAS 72527−9 from Eagle Creek, California, USA, Upper Barremian (Lower Cretaceous). Right valve. A. External view. B. Internal view. Details of pedal elevator muscle scar (C) and mantle muscle scars indicated by small arrowheads (D). Location of shell microstructure analysis (Fig. 4) is marked with a dotted white line. Black arrowheads point to the anterior.
Fig. 9 in Worldwide distribution of the modiomorphid bivalve genus Caspiconcha in late Mesozoic hydrocarbon seeps
Fig. 9. Silicone rubber casts of modiomorphid bivalve Caspiconcha major (Gabb, 1869) from Cold Fork of Cottonwood Creek (A), Wilbur Springs (B–G), + East Berryessa (H, I) and Bear Creek (J), all California, USA. A. Internal surface of articulated small specimen UCMP 10225, right valve (A1), left valve (A2). B. Internal surface of left valve of small specimen UCMP 152077. C. Internal surface of right valve of small specimen CAS 71880. D. Internal surface of left valve of small specimen with some shell remains along the ventral margin CAS 71882. E. Internal surface of left valve of small specimen CAS 71881. F. Internal surface of right valve of small specimen CAS 71883. G. Internal surface of right valve of small specimen with some shell remains in posterior area CAS 72537. H. Internal surface of left valve of small specimen CAS 72548. I. Internal surfaces of articulated specimen CAS 72536 with missing posterior margin, right valve (I1), left valve (I2). J. Internal surface of left valve of partial large specimen with internal shell details highlighted with dotted white lines CAS 72534. White arrowheads point to the anterior.
Fig. 15 in Worldwide distribution of the modiomorphid bivalve genus Caspiconcha in late Mesozoic hydrocarbon seeps
Fig. 15. Ranges and palaeoecological interpretations of major group of chemosynthetic bivalves and brachiopods from Late Jurassic to Recent hydrocarbon seeps. The epifauna and semi−infauna almost vanished at the end of Early Cretaceous and did flourish again from the Eocene with the appearance of vesicomyids and bathymodiolins. Caspiconcha was common until the end of the Early Cretaceous after which there was only one occurrence in the Late Cretaceous. In contrast, infaunal bivalves were present continuously from the late Mesozoic to the Recent.
Fig. 6 in Worldwide distribution of the modiomorphid bivalve genus Caspiconcha in late Mesozoic hydrocarbon seeps
Fig. 6. Paralectotypes of modiomorphid bivalve Caspiconcha major (Gabb, 1869). A. MCZ108540 from east of Knoxville, California, USA, Lower Cretaceous. Internal mould of left valve (A1), dorsal view (A2). B–D. Three specimens of Caspiconcha major (Gabb, 1869) from Wilbur Springs, California, USA, Hauterivian (Lower Cretaceous). B. Left valve of MCZ 108538A. C. Internal mould of right valve of MCZ 108538B. D. Right valve of MCZ 108538C. White arrowheads point to the anterior.
Fig. 14 in Worldwide distribution of the modiomorphid bivalve genus Caspiconcha in late Mesozoic hydrocarbon seeps
Fig. 14. Palaeobiogeographical distribution of Caspiconcha and Caspiconcha−like species in the late Mesozoic world's oceans. A. Palaeomap at 120 Ma from http://jan.ucc.nau.edu/~rcb7/index.html. B. Caspiconcha major (Gabb, 1869), Late Jurassic (Tithonian) to Early Cretaceous (Albian) from California, USA. The specimen is from the Eagle Creek site. C. Caspiconcha sp., Lower Cretaceous (Albian) of Basque, Spain (image from Agirrezabala et al. in press). D. Caspiconcha whithami Kelly, 2000, Lower Cretaceous (Barremian) of Greenland (SMUC K 8318, holotype). E. Possible Caspiconcha, described as Calyptogena sp. in Hikida et al. (2003) from the Upper Cretaceous (Campanian) Omagari site, Hokkaido, Japan. F. Caspiconcha sp., Lower Cretaceous (Albian), Utagoesawa Creek, Hokkaido, Japan. G. C. rubani Kiel et al. (2010), Lower Cretaceous (Hauterivian) of Ukraine (image from Kiel et al. 2010). H. Caspiconcha sp., Lower Cretaceous to Upper Cretaceous (Upper Albian to middle Cenomanian) of New Zealand (image from Kiel et al. in press).
Fig. 2 in Worldwide distribution of the modiomorphid bivalve genus Caspiconcha in late Mesozoic hydrocarbon seeps
Fig. 2. Schematic illustration of the right valve internal features of Caspiconcha major (Gabb, 1869).
Linked collectors and determiners for: Bathyphysa conifera (Studer, 1878) worldwide distribution review.
Natural history specimen data linked to collectors and determiners held within, "Bathyphysa conifera (Studer, 1878) worldwide distribution review". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/f9367d11-65f0-4206-82b4-5ff986afaa68">https://bionomia.net/dataset/f9367d11-65f0-4206-82b4-5ff986afaa68</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/f9367d11-65f0-4206-82b4-5ff986afaa68">https://gbif.org/dataset/f9367d11-65f0-4206-82b4-5ff986afaa68</a>. Formatted as a Frictionless Data package.
Figs 8-9 in Notes on the Aphodius (s.str.) fimetarius-complex - morphology, taxonomy, nomenclature and worldwide distribution (with emphasis on the Iberian Peninsula, Austria and Germany) (Scarabaeoidea: Scarabaeidae: Aphodiinae)
Figs 8-9. Structure of head of male in oblique lateral view of (8) Aphodius fimetarius (Berlin, Germany; cHF) and (9) A. cardinalis (Barro, near Llanes, Spain; cHF).
Fig. 7 in Notes on the Aphodius (s.str.) fimetarius-complex - morphology, taxonomy, nomenclature and worldwide distribution (with emphasis on the Iberian Peninsula, Austria and Germany) (Scarabaeoidea: Scarabaeidae: Aphodiinae)
Fig. 7: Colour varieties of (a) Aphodius fimetarius (♀, Ischgl, Austria; cHF), (b) (♀, idem) and (c) A. cardinalis (Ƌ, Torre, Serra da Estrela, Portugal; cHF).
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.